From 78f66967238426499d97b69b01da6bcbf5448f7c Mon Sep 17 00:00:00 2001 From: bpetit Date: Thu, 17 Oct 2024 10:29:40 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20hubblo-o?= =?UTF-8?q?rg/scaphandre@2a16a0f3235ffde726236c433f037957eaa0d8a4=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- artifacts.js | 245 ++ artifacts.json | 1 + artifacts/index.html | 294 ++ book/404.html | 199 ++ book/FontAwesome/css/font-awesome.css | 4 + book/FontAwesome/fonts/FontAwesome.ttf | Bin 0 -> 165548 bytes .../FontAwesome/fonts/fontawesome-webfont.eot | Bin 0 -> 165742 bytes .../FontAwesome/fonts/fontawesome-webfont.svg | 2671 +++++++++++++++++ .../FontAwesome/fonts/fontawesome-webfont.ttf | Bin 0 -> 165548 bytes .../fonts/fontawesome-webfont.woff | Bin 0 -> 98024 bytes .../fonts/fontawesome-webfont.woff2 | Bin 0 -> 77160 bytes book/ace.js | 43 + book/ayu-highlight.css | 78 + book/book.js | 713 +++++ book/clipboard.min.js | 7 + book/compatibility.html | 225 ++ book/contributing.html | 242 ++ book/css/chrome.css | 569 ++++ book/css/general.css | 251 ++ book/css/print.css | 50 + book/css/variables.css | 399 +++ book/editor.js | 29 + book/elasticlunr.min.js | 10 + book/explanations/about-containers.html | 214 ++ book/explanations/host_metrics.html | 226 ++ ...omputes-per-process-power-consumption.html | 254 ++ book/explanations/internal-structure.html | 227 ++ book/explanations/rapl-domains.html | 221 ++ book/explanations/rapl.png | Bin 0 -> 152084 bytes book/favicon.ico | Bin 0 -> 93062 bytes book/favicon.png | Bin 0 -> 5679 bytes book/favicon.svg | 22 + book/fonts/fonts.css | 8 + book/grafana-dash-scaphandre.cleaned.png | Bin 0 -> 366218 bytes book/grafana-edit.png | Bin 0 -> 423263 bytes book/highlight.css | 82 + book/highlight.js | 53 + .../get-process-level-power-in-grafana.html | 227 ++ .../install-prometheuspush-only-rhel.html | 252 ++ 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create mode 100644 funding/index.html create mode 100644 index.html create mode 100644 oranda-v0.6.1.css diff --git a/artifacts.js b/artifacts.js new file mode 100644 index 00000000..2dbfc707 --- /dev/null +++ b/artifacts.js @@ -0,0 +1,245 @@ +/* Code modified from the blender website + * https://www.blender.org/wp-content/themes/bthree/assets/js/get_os.js?x82196 + */ + +let options = { + windows64: "x86_64-pc-windows", + windows32: "i686-pc-windows", + windowsArm: "aarch64-pc-windows", + + mac64: "x86_64-apple", + mac32: "i686-apple", + macSilicon: "aarch64-apple", + + linux64: "x86_64-unknown-linux", + linux32: "i686-unknown-linux", + linuxArm: "aarch64-unknown-linux", + + // ios: "ios", + // android: "linux-android", + // freebsd: "freebsd", +}; + +function isAppleSilicon() { + try { + var glcontext = document.createElement("canvas").getContext("webgl"); + var debugrenderer = glcontext + ? glcontext.getExtension("WEBGL_debug_renderer_info") + : null; + var renderername = + (debugrenderer && + glcontext.getParameter(debugrenderer.UNMASKED_RENDERER_WEBGL)) || + ""; + if (renderername.match(/Apple M/) || renderername.match(/Apple GPU/)) { + return true; + } + + return false; + } catch (e) {} +} + +function getOS() { + var OS = options.windows64.default; + var userAgent = navigator.userAgent; + var platform = navigator.platform; + + if (navigator.appVersion.includes("Win")) { + if ( + !userAgent.includes("Windows NT 5.0") && + !userAgent.includes("Windows NT 5.1") && + (userAgent.indexOf("Win64") > -1 || + platform == "Win64" || + userAgent.indexOf("x86_64") > -1 || + userAgent.indexOf("x86_64") > -1 || + userAgent.indexOf("amd64") > -1 || + userAgent.indexOf("AMD64") > -1 || + userAgent.indexOf("WOW64") > -1) + ) { + OS = options.windows64; + } else { + if ( + window.external && + window.external.getHostEnvironmentValue && + window.external + .getHostEnvironmentValue("os-architecture") + .includes("ARM64") + ) { + OS = options.windowsArm; + } else { + try { + var canvas = document.createElement("canvas"); + var gl = canvas.getContext("webgl"); + + var debugInfo = gl.getExtension("WEBGL_debug_renderer_info"); + var renderer = gl.getParameter(debugInfo.UNMASKED_RENDERER_WEBGL); + if (renderer.includes("Qualcomm")) OS = options.windowsArm; + } catch (e) {} + } + } + } + + //MacOS, MacOS X, macOS + if (navigator.appVersion.includes("Mac")) { + if ( + navigator.userAgent.includes("OS X 10.5") || + navigator.userAgent.includes("OS X 10.6") + ) { + OS = options.mac32; + } else { + OS = options.mac64; + + const isSilicon = isAppleSilicon(); + if (isSilicon) { + OS = options.macSilicon; + } + } + } + + // linux + if (platform.includes("Linux")) { + OS = options.linux64; + // FIXME: Can we find out whether linux 32-bit or ARM are used? + } + + // if ( + // userAgent.includes("iPad") || + // userAgent.includes("iPhone") || + // userAgent.includes("iPod") + // ) { + // OS = options.ios; + // } + // if (platform.toLocaleLowerCase().includes("freebsd")) { + // OS = options.freebsd; + // } + + return OS; +} + +let os = getOS(); +window.os = os; + +// Unhide and hydrate selector with events +const archSelect = document.querySelector(".arch-select"); +if (archSelect) { + archSelect.classList.remove("hidden"); + const selector = document.querySelector("#install-arch-select"); + if (selector) { + selector.addEventListener("change", onArchChange); + } +} + +// Hydrate tab buttons with events +Array.from(document.querySelectorAll(".install-tab[data-id]")).forEach((tab) => { + tab.addEventListener("click", onTabClick); +}); + +function onArchChange(evt) { + // Get target + const target = evt.currentTarget.value; + // Find corresponding installer lists + const newContentEl = document.querySelector(`.arch[data-arch=${target}]`); + const oldContentEl = document.querySelector(`.arch[data-arch]:not(.hidden)`); + // Hide old content element (if applicable) + if (oldContentEl) { + oldContentEl.classList.add("hidden"); + } + // Show new content element + newContentEl.classList.remove("hidden"); + // Show the first tab's content if nothing was selected before + if (newContentEl.querySelectorAll(".install-tab.selected").length === 0) { + const firstContentChild = newContentEl.querySelector(".install-content:first-of-type"); + const firstTabChild = newContentEl.querySelector(".install-tab:first-of-type"); + firstContentChild.classList.remove("hidden"); + if (firstTabChild) { + firstTabChild.classList.add("selected"); + } + } + // Hide "no OS detected" message + const noDetectEl = document.querySelector(".no-autodetect"); + noDetectEl.classList.add("hidden"); + // Hide Mac hint + document.querySelector(".mac-switch").classList.add("hidden"); +} + +function onTabClick(evt) { + // Get target and ID + const {triple, id} = evt.currentTarget.dataset; + if (triple) { + // Find corresponding content elements + const newContentEl = document.querySelector(`.install-content[data-id="${String(id)}"][data-triple=${triple}]`); + const oldContentEl = document.querySelector(`.install-content[data-triple=${triple}][data-id]:not(.hidden)`); + // Find old tab to unselect + const oldTabEl = document.querySelector(`.install-tab[data-triple=${triple}].selected`); + // Hide old content element + if (oldContentEl && oldTabEl) { + oldContentEl.classList.add("hidden"); + oldTabEl.classList.remove("selected"); + } + + // Unhide new content element + newContentEl.classList.remove("hidden"); + // Select new tab element + evt.currentTarget.classList.add("selected"); + } +} + +const allPlatforms = Array.from(document.querySelectorAll(`.arch[data-arch]`)); +let hit = allPlatforms.find( + (a) => { + // Show Intel Mac downloads if no M1 Mac downloads are available + if ( + a.attributes["data-arch"].value.includes(options.mac64) && + os.includes(options.macSilicon) && + !allPlatforms.find(p => p.attributes["data-arch"].value.includes(options.macSilicon))) { + // Unhide hint + document.querySelector(".mac-switch").classList.remove("hidden"); + return true; + } + return a.attributes["data-arch"].value.includes(os); + } +); + +if (hit) { + hit.classList.remove("hidden"); + const selectEl = document.querySelector("#install-arch-select"); + selectEl.value = hit.dataset.arch; + const firstContentChild = hit.querySelector(".install-content:first-of-type"); + const firstTabChild = hit.querySelector(".install-tab:first-of-type"); + firstContentChild.classList.remove("hidden"); + if (firstTabChild) { + firstTabChild.classList.add("selected"); + } +} else { + const noDetectEl = document.querySelector(".no-autodetect"); + if (noDetectEl) { + const noDetectElDetails = document.querySelector(".no-autodetect-details"); + if (noDetectElDetails) { + noDetectElDetails.innerHTML = `We detected you're on ${os} but there don't seem to be installers for that. ` + } + noDetectEl.classList.remove("hidden"); + } +} + +let copyButtons = Array.from(document.querySelectorAll("[data-copy]")); +if (copyButtons.length) { + copyButtons.forEach(function (element) { + element.addEventListener("click", () => { + navigator.clipboard.writeText(element.attributes["data-copy"].value); + }); + }); +} + +// Toggle for pre releases +const checkbox = document.getElementById("show-prereleases"); + +if (checkbox) { + checkbox.addEventListener("click", () => { + const all = document.getElementsByClassName("pre-release"); + + if (all) { + for (var item of all) { + item.classList.toggle("hidden"); + } + } + }); +} \ No newline at end of file diff --git a/artifacts.json b/artifacts.json new file mode 100644 index 00000000..fea1ebef --- /dev/null +++ b/artifacts.json @@ -0,0 +1 @@ +{"format_version":"0.6.5","tag":"v1.0.0","formatted_date":"Feb 12 2024 at 13:48 UTC","platforms_with_downloads":[{"target":["aarch64-apple-darwin"],"display_name":"macOS Apple 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scaphandre.X.rpm"}},{"label":"rpm","description":"","app_name":null,"method":{"type":"Download","file":0}},{"label":"deb","description":"","app_name":null,"method":{"type":"Download","file":1}},{"label":"deb","description":"","app_name":null,"method":{"type":"Download","file":2}}],"targets":{"aarch64-apple-darwin":[1,3,0,2],"aarch64-pc-windows-msvc":[1,3,0,2],"aarch64-unknown-linux-gnu":[5,6,4,1,3,0,2],"aarch64-unknown-linux-musl":[5,6,4,1,3,0,2],"i686-apple-darwin":[1,3,0,2],"i686-pc-windows-msvc":[1,3,0,2],"i686-unknown-linux-gnu":[5,6,4,1,3,0,2],"i686-unknown-linux-musl":[5,6,4,1,3,0,2],"x86_64-apple-darwin":[1,3,0,2],"x86_64-pc-windows-msvc":[1,3,0,2],"x86_64-unknown-linux-gnu":[5,6,4,1,3,0,2],"x86_64-unknown-linux-musl":[5,6,4,1,3,0,2]}}},"os_script":"/scaphandre/artifacts.js","has_checksum_files":false} \ No newline at end of file diff --git a/artifacts/index.html b/artifacts/index.html new file mode 100644 index 00000000..82f6b4bb --- /dev/null +++ b/artifacts/index.html @@ -0,0 +1,294 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ +
+ + + Check out our GitHub! + +
+ + +
+
+ +

scaphandre

+ + + +
+ + +
+
+ + + +
+

crates.io

+
+ 
+cargo install scaphandre
+ + + + +
+
+ + + + + + + + +
+

DEB package

+
+ 
+dpkg -i scaphandre.X.deb
+ + + + +
+
+ + + + +
+

docker

+
+ 
+docker pull hubblo/scaphandre
+ + + + +
+
+ + + + + + +
+

RPM package

+
+ 
+rpm -ivh scaphandre.X.rpm
+ + + + +
+
+ + +
+
+

Downloads

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
FilePlatform
scaphandre-1.0.0-1.el9.x86_64.rpm + + + musl Linux arm64 + + + + Linux arm64, + + + + Linux x86, + + + + Linux x64, + + + + musl Linux x86, + + + + musl Linux x64, + + +
scaphandre_v1.0.0-deb11_amd64.deb + + + Linux arm64 + + + + Linux x64, + + + + musl Linux x86, + + + + musl Linux arm64, + + + + musl Linux x64, + + + + Linux x86, + + +
scaphandre_v1.0.0-deb12_amd64.deb + + + Linux arm64 + + + + musl Linux x86, + + + + musl Linux x64, + + + + musl Linux arm64, + + + + Linux x86, + + + + Linux x64, + + +
+
+
+ +
+
+ +
+ + + + + scaphandre, Apache-2.0 + +
+
+ + + + + + + + + \ No newline at end of file diff --git a/book/404.html b/book/404.html new file mode 100644 index 00000000..d240de69 --- /dev/null +++ b/book/404.html @@ -0,0 +1,199 @@ + + + + + + Page not found - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + +
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this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + * Neither the name of Ajax.org B.V. nor the + names of its contributors may be used to endorse or promote products + derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL AJAX.ORG B.V. BE LIABLE FOR ANY +DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +*/ + +(function(){function o(n){var i=e;n&&(e[n]||(e[n]={}),i=e[n]);if(!i.define||!i.define.packaged)t.original=i.define,i.define=t,i.define.packaged=!0;if(!i.require||!i.require.packaged)r.original=i.require,i.require=r,i.require.packaged=!0}var ACE_NAMESPACE = "ace",e=function(){return this}();!e&&typeof window!="undefined"&&(e=window);if(!ACE_NAMESPACE&&typeof requirejs!="undefined")return;var t=function(e,n,r){if(typeof e!="string"){t.original?t.original.apply(this,arguments):(console.error("dropping module because define 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this.end.row==e&&this.end.column==t?1:this.compare(e,t)},this.compareInside=function(e,t){return this.end.row==e&&this.end.column==t?1:this.start.row==e&&this.start.column==t?-1:this.compare(e,t)},this.clipRows=function(e,t){if(this.end.row>t)var n={row:t+1,column:0};else if(this.end.rowt)var r={row:t+1,column:0};else if(this.start.row0){t&1&&(n+=e);if(t>>=1)e+=e}return n};var r=/^\s\s*/,i=/\s\s*$/;t.stringTrimLeft=function(e){return e.replace(r,"")},t.stringTrimRight=function(e){return e.replace(i,"")},t.copyObject=function(e){var t={};for(var n in e)t[n]=e[n];return t},t.copyArray=function(e){var t=[];for(var n=0,r=e.length;n63,l=400,c=e("../lib/keys"),h=c.KEY_MODS,p=i.isIOS,d=p?/\s/:/\n/,v=function(e,t){function W(){x=!0,n.blur(),n.focus(),x=!1}function V(e){e.keyCode==27&&n.value.lengthC&&T[s]=="\n")o=c.end;else if(rC&&T.slice(0,s).split("\n").length>2)o=c.down;else if(s>C&&T[s-1]==" ")o=c.right,u=h.option;else 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e=n.style.top;n.style.position="fixed",n.style.top="0px";try{var t=n.getBoundingClientRect().top!=0}catch(r){return}var i=[];if(t){var s=n.parentElement;while(s&&s.nodeType==1)i.push(s),s.setAttribute("ace_nocontext",!0),!s.parentElement&&s.getRootNode?s=s.getRootNode().host:s=s.parentElement}n.focus({preventScroll:!0}),t&&i.forEach(function(e){e.removeAttribute("ace_nocontext")}),setTimeout(function(){n.style.position="",n.style.top=="0px"&&(n.style.top=e)},0)},this.blur=function(){n.blur()},this.isFocused=function(){return k},t.on("beforeEndOperation",function(){if(t.curOp&&t.curOp.command.name=="insertstring")return;g&&(T=n.value="",z()),A()});var A=p?function(e){if(!k||v&&!e||y)return;e||(e="");var r="\n ab"+e+"cde fg\n";r!=n.value&&(n.value=T=r);var i=4,s=4+(e.length||(t.selection.isEmpty()?0:1));(N!=i||C!=s)&&n.setSelectionRange(i,s),N=i,C=s}:function(){if(g||y)return;if(!k&&!D)return;g=!0;var e=t.selection,r=e.getRange(),i=e.cursor.row,s=r.start.column,o=r.end.column,u=t.session.getLine(i);if(r.start.row!=i){var a=t.session.getLine(i-1);s=r.start.rowi+1?f.length:o,o+=u.length+1,u=u+"\n"+f}u.length>l&&(s=T.length&&e.value===T&&T&&e.selectionEnd!==C},M=function(e){if(g)return;v?v=!1:O(n)&&(t.selectAll(),A())},_=null;this.setInputHandler=function(e){_=e},this.getInputHandler=function(){return _};var D=!1,P=function(e,r){D&&(D=!1);if(m)return A(),e&&t.onPaste(e),m=!1,"";var i=n.selectionStart,s=n.selectionEnd,o=N,u=T.length-C,a=e,f=e.length-i,l=e.length-s,c=0;while(o>0&&T[c]==e[c])c++,o--;a=a.slice(c),c=1;while(u>0&&T.length-c>N-1&&T[T.length-c]==e[e.length-c])c++,u--;return f-=c-1,l-=c-1,a=a.slice(0,a.length-c+1),!r&&f==a.length&&!o&&!u&&!l?"":(y=!0,a&&!o&&!u&&!f&&!l||S?t.onTextInput(a):t.onTextInput(a,{extendLeft:o,extendRight:u,restoreStart:f,restoreEnd:l}),y=!1,T=e,N=i,C=s,a)},H=function(e){if(g)return U();var t=n.value,r=P(t,!0);(t.length>l+100||d.test(r))&&A()},B=function(e,t,n){var r=e.clipboardData||window.clipboardData;if(!r||u)return;var i=a||n?"Text":"text/plain";try{return t?r.setData(i,t)!==!1:r.getData(i)}catch(e){if(!n)return B(e,t,!0)}},j=function(e,i){var s=t.getCopyText();if(!s)return r.preventDefault(e);B(e,s)?(p&&(A(s),v=s,setTimeout(function(){v=!1},10)),i?t.onCut():t.onCopy(),r.preventDefault(e)):(v=!0,n.value=s,n.select(),setTimeout(function(){v=!1,A(),i?t.onCut():t.onCopy()}))},F=function(e){j(e,!0)},I=function(e){j(e,!1)},q=function(e){var s=B(e);typeof s=="string"?(s&&t.onPaste(s,e),i.isIE&&setTimeout(A),r.preventDefault(e)):(n.value="",m=!0)};r.addCommandKeyListener(n,t.onCommandKey.bind(t)),r.addListener(n,"select",M),r.addListener(n,"input",H),r.addListener(n,"cut",F),r.addListener(n,"copy",I),r.addListener(n,"paste",q),(!("oncut"in n)||!("oncopy"in n)||!("onpaste"in n))&&r.addListener(e,"keydown",function(e){if(i.isMac&&!e.metaKey||!e.ctrlKey)return;switch(e.keyCode){case 67:I(e);break;case 86:q(e);break;case 88:F(e)}});var R=function(e){if(g||!t.onCompositionStart||t.$readOnly)return;g={};if(S)return;setTimeout(U,0),t.on("mousedown",W);var r=t.getSelectionRange();r.end.row=r.start.row,r.end.column=r.start.column,g.markerRange=r,g.selectionStart=N,t.onCompositionStart(g),g.useTextareaForIME?(n.value="",T="",N=0,C=0):(n.msGetInputContext&&(g.context=n.msGetInputContext()),n.getInputContext&&(g.context=n.getInputContext()))},U=function(){if(!g||!t.onCompositionUpdate||t.$readOnly)return;if(S)return W();if(g.useTextareaForIME)t.onCompositionUpdate(n.value);else{var e=n.value;P(e),g.markerRange&&(g.context&&(g.markerRange.start.column=g.selectionStart=g.context.compositionStartOffset),g.markerRange.end.column=g.markerRange.start.column+C-g.selectionStart)}},z=function(e){if(!t.onCompositionEnd||t.$readOnly)return;g=!1,t.onCompositionEnd(),t.off("mousedown",W),e&&H()},X=o.delayedCall(U,50).schedule.bind(null,null);r.addListener(n,"compositionstart",R),r.addListener(n,"compositionupdate",U),r.addListener(n,"keyup",V),r.addListener(n,"keydown",X),r.addListener(n,"compositionend",z),this.getElement=function(){return n},this.setCommandMode=function(e){S=e,n.readOnly=!1},this.setReadOnly=function(e){S||(n.readOnly=e)},this.setCopyWithEmptySelection=function(e){E=e},this.onContextMenu=function(e){D=!0,A(),t._emit("nativecontextmenu",{target:t,domEvent:e}),this.moveToMouse(e,!0)},this.moveToMouse=function(e,o){b||(b=n.style.cssText),n.style.cssText=(o?"z-index:100000;":"")+(i.isIE?"opacity:0.1;":"")+"text-indent: -"+(N+C)*t.renderer.characterWidth*.5+"px;";var u=t.container.getBoundingClientRect(),a=s.computedStyle(t.container),f=u.top+(parseInt(a.borderTopWidth)||0),l=u.left+(parseInt(u.borderLeftWidth)||0),c=u.bottom-f-n.clientHeight-2,h=function(e){n.style.left=e.clientX-l-2+"px",n.style.top=Math.min(e.clientY-f-2,c)+"px"};h(e);if(e.type!="mousedown")return;t.renderer.$keepTextAreaAtCursor&&(t.renderer.$keepTextAreaAtCursor=null),clearTimeout($),i.isWin&&r.capture(t.container,h,J)},this.onContextMenuClose=J;var $,K=function(e){t.textInput.onContextMenu(e),J()};r.addListener(n,"mouseup",K),r.addListener(n,"mousedown",function(e){e.preventDefault(),J()}),r.addListener(t.renderer.scroller,"contextmenu",K),r.addListener(n,"contextmenu",K),p&&Q(e,t,n)};t.TextInput=v}),ace.define("ace/mouse/default_handlers",["require","exports","module","ace/lib/useragent"],function(e,t,n){"use strict";function o(e){e.$clickSelection=null;var t=e.editor;t.setDefaultHandler("mousedown",this.onMouseDown.bind(e)),t.setDefaultHandler("dblclick",this.onDoubleClick.bind(e)),t.setDefaultHandler("tripleclick",this.onTripleClick.bind(e)),t.setDefaultHandler("quadclick",this.onQuadClick.bind(e)),t.setDefaultHandler("mousewheel",this.onMouseWheel.bind(e)),t.setDefaultHandler("touchmove",this.onTouchMove.bind(e));var n=["select","startSelect","selectEnd","selectAllEnd","selectByWordsEnd","selectByLinesEnd","dragWait","dragWaitEnd","focusWait"];n.forEach(function(t){e[t]=this[t]},this),e.selectByLines=this.extendSelectionBy.bind(e,"getLineRange"),e.selectByWords=this.extendSelectionBy.bind(e,"getWordRange")}function u(e,t,n,r){return Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2))}function a(e,t){if(e.start.row==e.end.row)var n=2*t.column-e.start.column-e.end.column;else if(e.start.row==e.end.row-1&&!e.start.column&&!e.end.column)var n=t.column-4;else var n=2*t.row-e.start.row-e.end.row;return n<0?{cursor:e.start,anchor:e.end}:{cursor:e.end,anchor:e.start}}var r=e("../lib/useragent"),i=0,s=550;(function(){this.onMouseDown=function(e){var t=e.inSelection(),n=e.getDocumentPosition();this.mousedownEvent=e;var i=this.editor,s=e.getButton();if(s!==0){var o=i.getSelectionRange(),u=o.isEmpty();(u||s==1)&&i.selection.moveToPosition(n),s==2&&(i.textInput.onContextMenu(e.domEvent),r.isMozilla||e.preventDefault());return}this.mousedownEvent.time=Date.now();if(t&&!i.isFocused()){i.focus();if(this.$focusTimeout&&!this.$clickSelection&&!i.inMultiSelectMode){this.setState("focusWait"),this.captureMouse(e);return}}return this.captureMouse(e),this.startSelect(n,e.domEvent._clicks>1),e.preventDefault()},this.startSelect=function(e,t){e=e||this.editor.renderer.screenToTextCoordinates(this.x,this.y);var n=this.editor;if(!this.mousedownEvent)return;this.mousedownEvent.getShiftKey()?n.selection.selectToPosition(e):t||n.selection.moveToPosition(e),t||this.select(),n.renderer.scroller.setCapture&&n.renderer.scroller.setCapture(),n.setStyle("ace_selecting"),this.setState("select")},this.select=function(){var e,t=this.editor,n=t.renderer.screenToTextCoordinates(this.x,this.y);if(this.$clickSelection){var r=this.$clickSelection.comparePoint(n);if(r==-1)e=this.$clickSelection.end;else if(r==1)e=this.$clickSelection.start;else{var i=a(this.$clickSelection,n);n=i.cursor,e=i.anchor}t.selection.setSelectionAnchor(e.row,e.column)}t.selection.selectToPosition(n),t.renderer.scrollCursorIntoView()},this.extendSelectionBy=function(e){var t,n=this.editor,r=n.renderer.screenToTextCoordinates(this.x,this.y),i=n.selection[e](r.row,r.column);if(this.$clickSelection){var s=this.$clickSelection.comparePoint(i.start),o=this.$clickSelection.comparePoint(i.end);if(s==-1&&o<=0){t=this.$clickSelection.end;if(i.end.row!=r.row||i.end.column!=r.column)r=i.start}else if(o==1&&s>=0){t=this.$clickSelection.start;if(i.start.row!=r.row||i.start.column!=r.column)r=i.end}else if(s==-1&&o==1)r=i.end,t=i.start;else{var u=a(this.$clickSelection,r);r=u.cursor,t=u.anchor}n.selection.setSelectionAnchor(t.row,t.column)}n.selection.selectToPosition(r),n.renderer.scrollCursorIntoView()},this.selectEnd=this.selectAllEnd=this.selectByWordsEnd=this.selectByLinesEnd=function(){this.$clickSelection=null,this.editor.unsetStyle("ace_selecting"),this.editor.renderer.scroller.releaseCapture&&this.editor.renderer.scroller.releaseCapture()},this.focusWait=function(){var e=u(this.mousedownEvent.x,this.mousedownEvent.y,this.x,this.y),t=Date.now();(e>i||t-this.mousedownEvent.time>this.$focusTimeout)&&this.startSelect(this.mousedownEvent.getDocumentPosition())},this.onDoubleClick=function(e){var t=e.getDocumentPosition(),n=this.editor,r=n.session,i=r.getBracketRange(t);i?(i.isEmpty()&&(i.start.column--,i.end.column++),this.setState("select")):(i=n.selection.getWordRange(t.row,t.column),this.setState("selectByWords")),this.$clickSelection=i,this.select()},this.onTripleClick=function(e){var t=e.getDocumentPosition(),n=this.editor;this.setState("selectByLines");var r=n.getSelectionRange();r.isMultiLine()&&r.contains(t.row,t.column)?(this.$clickSelection=n.selection.getLineRange(r.start.row),this.$clickSelection.end=n.selection.getLineRange(r.end.row).end):this.$clickSelection=n.selection.getLineRange(t.row),this.select()},this.onQuadClick=function(e){var t=this.editor;t.selectAll(),this.$clickSelection=t.getSelectionRange(),this.setState("selectAll")},this.onMouseWheel=function(e){if(e.getAccelKey())return;e.getShiftKey()&&e.wheelY&&!e.wheelX&&(e.wheelX=e.wheelY,e.wheelY=0);var t=this.editor;this.$lastScroll||(this.$lastScroll={t:0,vx:0,vy:0,allowed:0});var n=this.$lastScroll,r=e.domEvent.timeStamp,i=r-n.t,o=i?e.wheelX/i:n.vx,u=i?e.wheelY/i:n.vy;i=1&&t.renderer.isScrollableBy(e.wheelX*e.speed,0)&&(f=!0),a<=1&&t.renderer.isScrollableBy(0,e.wheelY*e.speed)&&(f=!0);if(f)n.allowed=r;else if(r-n.allowedt.session.documentToScreenRow(l.row,l.column))return c()}if(f==s)return;f=s.text.join("
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n=t.domEvent.target||t.domEvent.srcElement;if(r.hasCssClass(n,"ace_fold-widget"))return c();f&&e.$tooltipFollowsMouse&&h(t),u=t;if(o)return;o=setTimeout(function(){o=null,u&&!e.isMousePressed?l():c()},50)}),s.addListener(t.renderer.$gutter,"mouseout",function(e){u=null;if(!f||o)return;o=setTimeout(function(){o=null,c()},50)}),t.on("changeSession",c)}function a(e){o.call(this,e)}var r=e("../lib/dom"),i=e("../lib/oop"),s=e("../lib/event"),o=e("../tooltip").Tooltip;i.inherits(a,o),function(){this.setPosition=function(e,t){var n=window.innerWidth||document.documentElement.clientWidth,r=window.innerHeight||document.documentElement.clientHeight,i=this.getWidth(),s=this.getHeight();e+=15,t+=15,e+i>n&&(e-=e+i-n),t+s>r&&(t-=20+s),o.prototype.setPosition.call(this,e,t)}}.call(a.prototype),t.GutterHandler=u}),ace.define("ace/mouse/mouse_event",["require","exports","module","ace/lib/event","ace/lib/useragent"],function(e,t,n){"use strict";var r=e("../lib/event"),i=e("../lib/useragent"),s=t.MouseEvent=function(e,t){this.domEvent=e,this.editor=t,this.x=this.clientX=e.clientX,this.y=this.clientY=e.clientY,this.$pos=null,this.$inSelection=null,this.propagationStopped=!1,this.defaultPrevented=!1};(function(){this.stopPropagation=function(){r.stopPropagation(this.domEvent),this.propagationStopped=!0},this.preventDefault=function(){r.preventDefault(this.domEvent),this.defaultPrevented=!0},this.stop=function(){this.stopPropagation(),this.preventDefault()},this.getDocumentPosition=function(){return this.$pos?this.$pos:(this.$pos=this.editor.renderer.screenToTextCoordinates(this.clientX,this.clientY),this.$pos)},this.inSelection=function(){if(this.$inSelection!==null)return this.$inSelection;var e=this.editor,t=e.getSelectionRange();if(t.isEmpty())this.$inSelection=!1;else{var n=this.getDocumentPosition();this.$inSelection=t.contains(n.row,n.column)}return this.$inSelection},this.getButton=function(){return r.getButton(this.domEvent)},this.getShiftKey=function(){return this.domEvent.shiftKey},this.getAccelKey=i.isMac?function(){return this.domEvent.metaKey}:function(){return this.domEvent.ctrlKey}}).call(s.prototype)}),ace.define("ace/mouse/dragdrop_handler",["require","exports","module","ace/lib/dom","ace/lib/event","ace/lib/useragent"],function(e,t,n){"use strict";function f(e){function T(e,n){var r=Date.now(),i=!n||e.row!=n.row,s=!n||e.column!=n.column;if(!S||i||s)t.moveCursorToPosition(e),S=r,x={x:p,y:d};else{var o=l(x.x,x.y,p,d);o>a?S=null:r-S>=u&&(t.renderer.scrollCursorIntoView(),S=null)}}function N(e,n){var r=Date.now(),i=t.renderer.layerConfig.lineHeight,s=t.renderer.layerConfig.characterWidth,u=t.renderer.scroller.getBoundingClientRect(),a={x:{left:p-u.left,right:u.right-p},y:{top:d-u.top,bottom:u.bottom-d}},f=Math.min(a.x.left,a.x.right),l=Math.min(a.y.top,a.y.bottom),c={row:e.row,column:e.column};f/s<=2&&(c.column+=a.x.left=o&&t.renderer.scrollCursorIntoView(c):E=r:E=null}function C(){var e=g;g=t.renderer.screenToTextCoordinates(p,d),T(g,e),N(g,e)}function k(){m=t.selection.toOrientedRange(),h=t.session.addMarker(m,"ace_selection",t.getSelectionStyle()),t.clearSelection(),t.isFocused()&&t.renderer.$cursorLayer.setBlinking(!1),clearInterval(v),C(),v=setInterval(C,20),y=0,i.addListener(document,"mousemove",O)}function L(){clearInterval(v),t.session.removeMarker(h),h=null,t.selection.fromOrientedRange(m),t.isFocused()&&!w&&t.renderer.$cursorLayer.setBlinking(!t.getReadOnly()),m=null,g=null,y=0,E=null,S=null,i.removeListener(document,"mousemove",O)}function O(){A==null&&(A=setTimeout(function(){A!=null&&h&&L()},20))}function M(e){var t=e.types;return!t||Array.prototype.some.call(t,function(e){return e=="text/plain"||e=="Text"})}function _(e){var t=["copy","copymove","all","uninitialized"],n=["move","copymove","linkmove","all","uninitialized"],r=s.isMac?e.altKey:e.ctrlKey,i="uninitialized";try{i=e.dataTransfer.effectAllowed.toLowerCase()}catch(e){}var o="none";return r&&t.indexOf(i)>=0?o="copy":n.indexOf(i)>=0?o="move":t.indexOf(i)>=0&&(o="copy"),o}var t=e.editor,n=r.createElement("img");n.src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==",s.isOpera&&(n.style.cssText="width:1px;height:1px;position:fixed;top:0;left:0;z-index:2147483647;opacity:0;");var f=["dragWait","dragWaitEnd","startDrag","dragReadyEnd","onMouseDrag"];f.forEach(function(t){e[t]=this[t]},this),t.addEventListener("mousedown",this.onMouseDown.bind(e));var c=t.container,h,p,d,v,m,g,y=0,b,w,E,S,x;this.onDragStart=function(e){if(this.cancelDrag||!c.draggable){var r=this;return setTimeout(function(){r.startSelect(),r.captureMouse(e)},0),e.preventDefault()}m=t.getSelectionRange();var i=e.dataTransfer;i.effectAllowed=t.getReadOnly()?"copy":"copyMove",s.isOpera&&(t.container.appendChild(n),n.scrollTop=0),i.setDragImage&&i.setDragImage(n,0,0),s.isOpera&&t.container.removeChild(n),i.clearData(),i.setData("Text",t.session.getTextRange()),w=!0,this.setState("drag")},this.onDragEnd=function(e){c.draggable=!1,w=!1,this.setState(null);if(!t.getReadOnly()){var n=e.dataTransfer.dropEffect;!b&&n=="move"&&t.session.remove(t.getSelectionRange()),t.renderer.$cursorLayer.setBlinking(!0)}this.editor.unsetStyle("ace_dragging"),this.editor.renderer.setCursorStyle("")},this.onDragEnter=function(e){if(t.getReadOnly()||!M(e.dataTransfer))return;return p=e.clientX,d=e.clientY,h||k(),y++,e.dataTransfer.dropEffect=b=_(e),i.preventDefault(e)},this.onDragOver=function(e){if(t.getReadOnly()||!M(e.dataTransfer))return;return p=e.clientX,d=e.clientY,h||(k(),y++),A!==null&&(A=null),e.dataTransfer.dropEffect=b=_(e),i.preventDefault(e)},this.onDragLeave=function(e){y--;if(y<=0&&h)return L(),b=null,i.preventDefault(e)},this.onDrop=function(e){if(!g)return;var n=e.dataTransfer;if(w)switch(b){case"move":m.contains(g.row,g.column)?m={start:g,end:g}:m=t.moveText(m,g);break;case"copy":m=t.moveText(m,g,!0)}else{var r=n.getData("Text");m={start:g,end:t.session.insert(g,r)},t.focus(),b=null}return L(),i.preventDefault(e)},i.addListener(c,"dragstart",this.onDragStart.bind(e)),i.addListener(c,"dragend",this.onDragEnd.bind(e)),i.addListener(c,"dragenter",this.onDragEnter.bind(e)),i.addListener(c,"dragover",this.onDragOver.bind(e)),i.addListener(c,"dragleave",this.onDragLeave.bind(e)),i.addListener(c,"drop",this.onDrop.bind(e));var A=null}function l(e,t,n,r){return Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2))}var r=e("../lib/dom"),i=e("../lib/event"),s=e("../lib/useragent"),o=200,u=200,a=5;(function(){this.dragWait=function(){var e=Date.now()-this.mousedownEvent.time;e>this.editor.getDragDelay()&&this.startDrag()},this.dragWaitEnd=function(){var e=this.editor.container;e.draggable=!1,this.startSelect(this.mousedownEvent.getDocumentPosition()),this.selectEnd()},this.dragReadyEnd=function(e){this.editor.renderer.$cursorLayer.setBlinking(!this.editor.getReadOnly()),this.editor.unsetStyle("ace_dragging"),this.editor.renderer.setCursorStyle(""),this.dragWaitEnd()},this.startDrag=function(){this.cancelDrag=!1;var e=this.editor,t=e.container;t.draggable=!0,e.renderer.$cursorLayer.setBlinking(!1),e.setStyle("ace_dragging");var n=s.isWin?"default":"move";e.renderer.setCursorStyle(n),this.setState("dragReady")},this.onMouseDrag=function(e){var t=this.editor.container;if(s.isIE&&this.state=="dragReady"){var n=l(this.mousedownEvent.x,this.mousedownEvent.y,this.x,this.y);n>3&&t.dragDrop()}if(this.state==="dragWait"){var n=l(this.mousedownEvent.x,this.mousedownEvent.y,this.x,this.y);n>0&&(t.draggable=!1,this.startSelect(this.mousedownEvent.getDocumentPosition()))}},this.onMouseDown=function(e){if(!this.$dragEnabled)return;this.mousedownEvent=e;var t=this.editor,n=e.inSelection(),r=e.getButton(),i=e.domEvent.detail||1;if(i===1&&r===0&&n){if(e.editor.inMultiSelectMode&&(e.getAccelKey()||e.getShiftKey()))return;this.mousedownEvent.time=Date.now();var o=e.domEvent.target||e.domEvent.srcElement;"unselectable"in o&&(o.unselectable="on");if(t.getDragDelay()){if(s.isWebKit){this.cancelDrag=!0;var u=t.container;u.draggable=!0}this.setState("dragWait")}else this.startDrag();this.captureMouse(e,this.onMouseDrag.bind(this)),e.defaultPrevented=!0}}}).call(f.prototype),t.DragdropHandler=f}),ace.define("ace/lib/net",["require","exports","module","ace/lib/dom"],function(e,t,n){"use strict";var r=e("./dom");t.get=function(e,t){var n=new XMLHttpRequest;n.open("GET",e,!0),n.onreadystatechange=function(){n.readyState===4&&t(n.responseText)},n.send(null)},t.loadScript=function(e,t){var n=r.getDocumentHead(),i=document.createElement("script");i.src=e,n.appendChild(i),i.onload=i.onreadystatechange=function(e,n){if(n||!i.readyState||i.readyState=="loaded"||i.readyState=="complete")i=i.onload=i.onreadystatechange=null,n||t()}},t.qualifyURL=function(e){var t=document.createElement("a");return t.href=e,t.href}}),ace.define("ace/lib/event_emitter",["require","exports","module"],function(e,t,n){"use strict";var r={},i=function(){this.propagationStopped=!0},s=function(){this.defaultPrevented=!0};r._emit=r._dispatchEvent=function(e,t){this._eventRegistry||(this._eventRegistry={}),this._defaultHandlers||(this._defaultHandlers={});var n=this._eventRegistry[e]||[],r=this._defaultHandlers[e];if(!n.length&&!r)return;if(typeof t!="object"||!t)t={};t.type||(t.type=e),t.stopPropagation||(t.stopPropagation=i),t.preventDefault||(t.preventDefault=s),n=n.slice();for(var o=0;o1&&(i=n[n.length-2]);var o=a[t+"Path"];return o==null?o=a.basePath:r=="/"&&(t=r=""),o&&o.slice(-1)!="/"&&(o+="/"),o+t+r+i+this.get("suffix")},t.setModuleUrl=function(e,t){return a.$moduleUrls[e]=t},t.$loading={},t.loadModule=function(n,r){var i,o;Array.isArray(n)&&(o=n[0],n=n[1]);try{i=e(n)}catch(u){}if(i&&!t.$loading[n])return r&&r(i);t.$loading[n]||(t.$loading[n]=[]),t.$loading[n].push(r);if(t.$loading[n].length>1)return;var a=function(){e([n],function(e){t._emit("load.module",{name:n,module:e});var r=t.$loading[n];t.$loading[n]=null,r.forEach(function(t){t&&t(e)})})};if(!t.get("packaged"))return a();s.loadScript(t.moduleUrl(n,o),a),f()};var f=function(){!a.basePath&&!a.workerPath&&!a.modePath&&!a.themePath&&!Object.keys(a.$moduleUrls).length&&(console.error("Unable to infer path to ace from script src,","use ace.config.set('basePath', 'path') to enable dynamic loading of modes and themes","or with webpack use ace/webpack-resolver"),f=function(){})};t.init=l}),ace.define("ace/mouse/mouse_handler",["require","exports","module","ace/lib/event","ace/lib/useragent","ace/mouse/default_handlers","ace/mouse/default_gutter_handler","ace/mouse/mouse_event","ace/mouse/dragdrop_handler","ace/config"],function(e,t,n){"use strict";var r=e("../lib/event"),i=e("../lib/useragent"),s=e("./default_handlers").DefaultHandlers,o=e("./default_gutter_handler").GutterHandler,u=e("./mouse_event").MouseEvent,a=e("./dragdrop_handler").DragdropHandler,f=e("../config"),l=function(e){var t=this;this.editor=e,new s(this),new o(this),new a(this);var n=function(t){var n=!document.hasFocus||!document.hasFocus()||!e.isFocused()&&document.activeElement==(e.textInput&&e.textInput.getElement());n&&window.focus(),e.focus()},u=e.renderer.getMouseEventTarget();r.addListener(u,"click",this.onMouseEvent.bind(this,"click")),r.addListener(u,"mousemove",this.onMouseMove.bind(this,"mousemove")),r.addMultiMouseDownListener([u,e.renderer.scrollBarV&&e.renderer.scrollBarV.inner,e.renderer.scrollBarH&&e.renderer.scrollBarH.inner,e.textInput&&e.textInput.getElement()].filter(Boolean),[400,300,250],this,"onMouseEvent"),r.addMouseWheelListener(e.container,this.onMouseWheel.bind(this,"mousewheel")),r.addTouchMoveListener(e.container,this.onTouchMove.bind(this,"touchmove"));var f=e.renderer.$gutter;r.addListener(f,"mousedown",this.onMouseEvent.bind(this,"guttermousedown")),r.addListener(f,"click",this.onMouseEvent.bind(this,"gutterclick")),r.addListener(f,"dblclick",this.onMouseEvent.bind(this,"gutterdblclick")),r.addListener(f,"mousemove",this.onMouseEvent.bind(this,"guttermousemove")),r.addListener(u,"mousedown",n),r.addListener(f,"mousedown",n),i.isIE&&e.renderer.scrollBarV&&(r.addListener(e.renderer.scrollBarV.element,"mousedown",n),r.addListener(e.renderer.scrollBarH.element,"mousedown",n)),e.on("mousemove",function(n){if(t.state||t.$dragDelay||!t.$dragEnabled)return;var r=e.renderer.screenToTextCoordinates(n.x,n.y),i=e.session.selection.getRange(),s=e.renderer;!i.isEmpty()&&i.insideStart(r.row,r.column)?s.setCursorStyle("default"):s.setCursorStyle("")})};(function(){this.onMouseEvent=function(e,t){this.editor._emit(e,new u(t,this.editor))},this.onMouseMove=function(e,t){var n=this.editor._eventRegistry&&this.editor._eventRegistry.mousemove;if(!n||!n.length)return;this.editor._emit(e,new u(t,this.editor))},this.onMouseWheel=function(e,t){var n=new u(t,this.editor);n.speed=this.$scrollSpeed*2,n.wheelX=t.wheelX,n.wheelY=t.wheelY,this.editor._emit(e,n)},this.onTouchMove=function(e,t){var n=new u(t,this.editor);n.speed=1,n.wheelX=t.wheelX,n.wheelY=t.wheelY,this.editor._emit(e,n)},this.setState=function(e){this.state=e},this.captureMouse=function(e,t){this.x=e.x,this.y=e.y,this.isMousePressed=!0;var n=this.editor,s=this.editor.renderer;s.$keepTextAreaAtCursor&&(s.$keepTextAreaAtCursor=null);var o=this,a=function(e){if(!e)return;if(i.isWebKit&&!e.which&&o.releaseMouse)return o.releaseMouse();o.x=e.clientX,o.y=e.clientY,t&&t(e),o.mouseEvent=new u(e,o.editor),o.$mouseMoved=!0},f=function(e){n.off("beforeEndOperation",c),clearInterval(h),l(),o[o.state+"End"]&&o[o.state+"End"](e),o.state="",s.$keepTextAreaAtCursor==null&&(s.$keepTextAreaAtCursor=!0,s.$moveTextAreaToCursor()),o.isMousePressed=!1,o.$onCaptureMouseMove=o.releaseMouse=null,e&&o.onMouseEvent("mouseup",e),n.endOperation()},l=function(){o[o.state]&&o[o.state](),o.$mouseMoved=!1};if(i.isOldIE&&e.domEvent.type=="dblclick")return setTimeout(function(){f(e)});var c=function(e){if(!o.releaseMouse)return;n.curOp.command.name&&n.curOp.selectionChanged&&(o[o.state+"End"]&&o[o.state+"End"](),o.state="",o.releaseMouse())};n.on("beforeEndOperation",c),n.startOperation({command:{name:"mouse"}}),o.$onCaptureMouseMove=a,o.releaseMouse=r.capture(this.editor.container,a,f);var h=setInterval(l,20)},this.releaseMouse=null,this.cancelContextMenu=function(){var e=function(t){if(t&&t.domEvent&&t.domEvent.type!="contextmenu")return;this.editor.off("nativecontextmenu",e),t&&t.domEvent&&r.stopEvent(t.domEvent)}.bind(this);setTimeout(e,10),this.editor.on("nativecontextmenu",e)}}).call(l.prototype),f.defineOptions(l.prototype,"mouseHandler",{scrollSpeed:{initialValue:2},dragDelay:{initialValue:i.isMac?150:0},dragEnabled:{initialValue:!0},focusTimeout:{initialValue:0},tooltipFollowsMouse:{initialValue:!0}}),t.MouseHandler=l}),ace.define("ace/mouse/fold_handler",["require","exports","module","ace/lib/dom"],function(e,t,n){"use strict";function i(e){e.on("click",function(t){var n=t.getDocumentPosition(),i=e.session,s=i.getFoldAt(n.row,n.column,1);s&&(t.getAccelKey()?i.removeFold(s):i.expandFold(s),t.stop());var o=t.domEvent&&t.domEvent.target;o&&r.hasCssClass(o,"ace_inline_button")&&r.hasCssClass(o,"ace_toggle_wrap")&&(i.setOption("wrap",!0),e.renderer.scrollCursorIntoView())}),e.on("gutterclick",function(t){var n=e.renderer.$gutterLayer.getRegion(t);if(n=="foldWidgets"){var r=t.getDocumentPosition().row,i=e.session;i.foldWidgets&&i.foldWidgets[r]&&e.session.onFoldWidgetClick(r,t),e.isFocused()||e.focus(),t.stop()}}),e.on("gutterdblclick",function(t){var n=e.renderer.$gutterLayer.getRegion(t);if(n=="foldWidgets"){var r=t.getDocumentPosition().row,i=e.session,s=i.getParentFoldRangeData(r,!0),o=s.range||s.firstRange;if(o){r=o.start.row;var u=i.getFoldAt(r,i.getLine(r).length,1);u?i.removeFold(u):(i.addFold("...",o),e.renderer.scrollCursorIntoView({row:o.start.row,column:0}))}t.stop()}})}var r=e("../lib/dom");t.FoldHandler=i}),ace.define("ace/keyboard/keybinding",["require","exports","module","ace/lib/keys","ace/lib/event"],function(e,t,n){"use strict";var r=e("../lib/keys"),i=e("../lib/event"),s=function(e){this.$editor=e,this.$data={editor:e},this.$handlers=[],this.setDefaultHandler(e.commands)};(function(){this.setDefaultHandler=function(e){this.removeKeyboardHandler(this.$defaultHandler),this.$defaultHandler=e,this.addKeyboardHandler(e,0)},this.setKeyboardHandler=function(e){var t=this.$handlers;if(t[t.length-1]==e)return;while(t[t.length-1]&&t[t.length-1]!=this.$defaultHandler)this.removeKeyboardHandler(t[t.length-1]);this.addKeyboardHandler(e,1)},this.addKeyboardHandler=function(e,t){if(!e)return;typeof e=="function"&&!e.handleKeyboard&&(e.handleKeyboard=e);var n=this.$handlers.indexOf(e);n!=-1&&this.$handlers.splice(n,1),t==undefined?this.$handlers.push(e):this.$handlers.splice(t,0,e),n==-1&&e.attach&&e.attach(this.$editor)},this.removeKeyboardHandler=function(e){var t=this.$handlers.indexOf(e);return t==-1?!1:(this.$handlers.splice(t,1),e.detach&&e.detach(this.$editor),!0)},this.getKeyboardHandler=function(){return this.$handlers[this.$handlers.length-1]},this.getStatusText=function(){var e=this.$data,t=e.editor;return this.$handlers.map(function(n){return n.getStatusText&&n.getStatusText(t,e)||""}).filter(Boolean).join(" ")},this.$callKeyboardHandlers=function(e,t,n,r){var s,o=!1,u=this.$editor.commands;for(var a=this.$handlers.length;a--;){s=this.$handlers[a].handleKeyboard(this.$data,e,t,n,r);if(!s||!s.command)continue;s.command=="null"?o=!0:o=u.exec(s.command,this.$editor,s.args,r),o&&r&&e!=-1&&s.passEvent!=1&&s.command.passEvent!=1&&i.stopEvent(r);if(o)break}return!o&&e==-1&&(s={command:"insertstring"},o=u.exec("insertstring",this.$editor,t)),o&&this.$editor._signal&&this.$editor._signal("keyboardActivity",s),o},this.onCommandKey=function(e,t,n){var i=r.keyCodeToString(n);this.$callKeyboardHandlers(t,i,n,e)},this.onTextInput=function(e){this.$callKeyboardHandlers(-1,e)}}).call(s.prototype),t.KeyBinding=s}),ace.define("ace/lib/bidiutil",["require","exports","module"],function(e,t,n){"use 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r=["\u0621","\u0641"],i=["\u063a","\u064a"],s=0,o=0,u=!1,a=!1,f=!1,l=!1,c=!1,h=!1,p=[[0,3,0,1,0,0,0],[0,3,0,1,2,2,0],[0,3,0,17,2,0,1],[0,3,5,5,4,1,0],[0,3,21,21,4,0,1],[0,3,5,5,4,2,0]],d=[[2,0,1,1,0,1,0],[2,0,1,1,0,2,0],[2,0,2,1,3,2,0],[2,0,2,33,3,1,1]],v=0,m=1,g=0,y=1,b=2,w=3,E=4,S=5,x=6,T=7,N=8,C=9,k=10,L=11,A=12,O=13,M=14,_=15,D=16,P=17,H=18,B=[H,H,H,H,H,H,H,H,H,x,S,x,N,S,H,H,H,H,H,H,H,H,H,H,H,H,H,H,S,S,S,x,N,E,E,L,L,L,E,E,E,E,E,k,C,k,C,C,b,b,b,b,b,b,b,b,b,b,C,E,E,E,E,E,E,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,E,E,E,E,E,E,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,g,E,E,E,E,H,H,H,H,H,H,S,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,C,E,L,L,L,L,E,E,E,E,g,E,E,H,E,E,L,L,b,b,E,g,E,E,E,b,g,E,E,E,E,E],j=[N,N,N,N,N,N,N,N,N,N,N,H,H,H,g,y,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,N,S,O,M,_,D,P,C,L,L,L,L,L,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,C,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,N];t.L=g,t.R=y,t.EN=b,t.ON_R=3,t.AN=4,t.R_H=5,t.B=6,t.RLE=7,t.DOT="\u00b7",t.doBidiReorder=function(e,n,r){if(e.length<2)return{};var i=e.split(""),o=new Array(i.length),u=new Array(i.length),a=[];s=r?m:v,F(i,a,i.length,n);for(var f=0;fT&&n[f]0&&i[f-1]==="\u0644"&&/\u0622|\u0623|\u0625|\u0627/.test(i[f])&&(a[f-1]=a[f]=t.R_H,f++);i[i.length-1]===t.DOT&&(a[i.length-1]=t.B),i[0]==="\u202b"&&(a[0]=t.RLE);for(var f=0;f=0&&(e=this.session.$docRowCache[n])}return e},this.getSplitIndex=function(){var e=0,t=this.session.$screenRowCache;if(t.length){var n,r=this.session.$getRowCacheIndex(t,this.currentRow);while(this.currentRow-e>0){n=this.session.$getRowCacheIndex(t,this.currentRow-e-1);if(n!==r)break;r=n,e++}}else e=this.currentRow;return e},this.updateRowLine=function(e,t){e===undefined&&(e=this.getDocumentRow());var n=e===this.session.getLength()-1,s=n?this.EOF:this.EOL;this.wrapIndent=0,this.line=this.session.getLine(e),this.isRtlDir=this.$isRtl||this.line.charAt(0)===this.RLE;if(this.session.$useWrapMode){var o=this.session.$wrapData[e];o&&(t===undefined&&(t=this.getSplitIndex()),t>0&&o.length?(this.wrapIndent=o.indent,this.wrapOffset=this.wrapIndent*this.charWidths[r.L],this.line=tt?this.session.getOverwrite()?e:e-1:t,i=r.getVisualFromLogicalIdx(n,this.bidiMap),s=this.bidiMap.bidiLevels,o=0;!this.session.getOverwrite()&&e<=t&&s[i]%2!==0&&i++;for(var u=0;ut&&s[i]%2===0&&(o+=this.charWidths[s[i]]),this.wrapIndent&&(o+=this.isRtlDir?-1*this.wrapOffset:this.wrapOffset),this.isRtlDir&&(o+=this.rtlLineOffset),o},this.getSelections=function(e,t){var n=this.bidiMap,r=n.bidiLevels,i,s=[],o=0,u=Math.min(e,t)-this.wrapIndent,a=Math.max(e,t)-this.wrapIndent,f=!1,l=!1,c=0;this.wrapIndent&&(o+=this.isRtlDir?-1*this.wrapOffset:this.wrapOffset);for(var h,p=0;p=u&&hn+s/2){n+=s;if(r===i.length-1){s=0;break}s=this.charWidths[i[++r]]}return r>0&&i[r-1]%2!==0&&i[r]%2===0?(e0&&i[r-1]%2===0&&i[r]%2!==0?t=1+(e>n?this.bidiMap.logicalFromVisual[r]:this.bidiMap.logicalFromVisual[r-1]):this.isRtlDir&&r===i.length-1&&s===0&&i[r-1]%2===0||!this.isRtlDir&&r===0&&i[r]%2!==0?t=1+this.bidiMap.logicalFromVisual[r]:(r>0&&i[r-1]%2!==0&&s!==0&&r--,t=this.bidiMap.logicalFromVisual[r]),t===0&&this.isRtlDir&&t++,t+this.wrapIndent}}).call(o.prototype),t.BidiHandler=o}),ace.define("ace/selection",["require","exports","module","ace/lib/oop","ace/lib/lang","ace/lib/event_emitter","ace/range"],function(e,t,n){"use strict";var r=e("./lib/oop"),i=e("./lib/lang"),s=e("./lib/event_emitter").EventEmitter,o=e("./range").Range,u=function(e){this.session=e,this.doc=e.getDocument(),this.clearSelection(),this.cursor=this.lead=this.doc.createAnchor(0,0),this.anchor=this.doc.createAnchor(0,0),this.$silent=!1;var t=this;this.cursor.on("change",function(e){t.$cursorChanged=!0,t.$silent||t._emit("changeCursor"),!t.$isEmpty&&!t.$silent&&t._emit("changeSelection"),!t.$keepDesiredColumnOnChange&&e.old.column!=e.value.column&&(t.$desiredColumn=null)}),this.anchor.on("change",function(){t.$anchorChanged=!0,!t.$isEmpty&&!t.$silent&&t._emit("changeSelection")})};(function(){r.implement(this,s),this.isEmpty=function(){return this.$isEmpty||this.anchor.row==this.lead.row&&this.anchor.column==this.lead.column},this.isMultiLine=function(){return!this.$isEmpty&&this.anchor.row!=this.cursor.row},this.getCursor=function(){return this.lead.getPosition()},this.setSelectionAnchor=function(e,t){this.$isEmpty=!1,this.anchor.setPosition(e,t)},this.getAnchor=this.getSelectionAnchor=function(){return this.$isEmpty?this.getSelectionLead():this.anchor.getPosition()},this.getSelectionLead=function(){return this.lead.getPosition()},this.isBackwards=function(){var e=this.anchor,t=this.lead;return e.row>t.row||e.row==t.row&&e.column>t.column},this.getRange=function(){var e=this.anchor,t=this.lead;return this.$isEmpty?o.fromPoints(t,t):this.isBackwards()?o.fromPoints(t,e):o.fromPoints(e,t)},this.clearSelection=function(){this.$isEmpty||(this.$isEmpty=!0,this._emit("changeSelection"))},this.selectAll=function(){this.$setSelection(0,0,Number.MAX_VALUE,Number.MAX_VALUE)},this.setRange=this.setSelectionRange=function(e,t){var n=t?e.end:e.start,r=t?e.start:e.end;this.$setSelection(n.row,n.column,r.row,r.column)},this.$setSelection=function(e,t,n,r){var i=this.$isEmpty,s=this.inMultiSelectMode;this.$silent=!0,this.$cursorChanged=this.$anchorChanged=!1,this.anchor.setPosition(e,t),this.cursor.setPosition(n,r),this.$isEmpty=!o.comparePoints(this.anchor,this.cursor),this.$silent=!1,this.$cursorChanged&&this._emit("changeCursor"),(this.$cursorChanged||this.$anchorChanged||i!=this.$isEmpty||s)&&this._emit("changeSelection")},this.$moveSelection=function(e){var t=this.lead;this.$isEmpty&&this.setSelectionAnchor(t.row,t.column),e.call(this)},this.selectTo=function(e,t){this.$moveSelection(function(){this.moveCursorTo(e,t)})},this.selectToPosition=function(e){this.$moveSelection(function(){this.moveCursorToPosition(e)})},this.moveTo=function(e,t){this.clearSelection(),this.moveCursorTo(e,t)},this.moveToPosition=function(e){this.clearSelection(),this.moveCursorToPosition(e)},this.selectUp=function(){this.$moveSelection(this.moveCursorUp)},this.selectDown=function(){this.$moveSelection(this.moveCursorDown)},this.selectRight=function(){this.$moveSelection(this.moveCursorRight)},this.selectLeft=function(){this.$moveSelection(this.moveCursorLeft)},this.selectLineStart=function(){this.$moveSelection(this.moveCursorLineStart)},this.selectLineEnd=function(){this.$moveSelection(this.moveCursorLineEnd)},this.selectFileEnd=function(){this.$moveSelection(this.moveCursorFileEnd)},this.selectFileStart=function(){this.$moveSelection(this.moveCursorFileStart)},this.selectWordRight=function(){this.$moveSelection(this.moveCursorWordRight)},this.selectWordLeft=function(){this.$moveSelection(this.moveCursorWordLeft)},this.getWordRange=function(e,t){if(typeof t=="undefined"){var n=e||this.lead;e=n.row,t=n.column}return this.session.getWordRange(e,t)},this.selectWord=function(){this.setSelectionRange(this.getWordRange())},this.selectAWord=function(){var e=this.getCursor(),t=this.session.getAWordRange(e.row,e.column);this.setSelectionRange(t)},this.getLineRange=function(e,t){var n=typeof e=="number"?e:this.lead.row,r,i=this.session.getFoldLine(n);return i?(n=i.start.row,r=i.end.row):r=n,t===!0?new o(n,0,r,this.session.getLine(r).length):new o(n,0,r+1,0)},this.selectLine=function(){this.setSelectionRange(this.getLineRange())},this.moveCursorUp=function(){this.moveCursorBy(-1,0)},this.moveCursorDown=function(){this.moveCursorBy(1,0)},this.wouldMoveIntoSoftTab=function(e,t,n){var r=e.column,i=e.column+t;return n<0&&(r=e.column-t,i=e.column),this.session.isTabStop(e)&&this.doc.getLine(e.row).slice(r,i).split(" ").length-1==t},this.moveCursorLeft=function(){var e=this.lead.getPosition(),t;if(t=this.session.getFoldAt(e.row,e.column,-1))this.moveCursorTo(t.start.row,t.start.column);else if(e.column===0)e.row>0&&this.moveCursorTo(e.row-1,this.doc.getLine(e.row-1).length);else{var n=this.session.getTabSize();this.wouldMoveIntoSoftTab(e,n,-1)&&!this.session.getNavigateWithinSoftTabs()?this.moveCursorBy(0,-n):this.moveCursorBy(0,-1)}},this.moveCursorRight=function(){var e=this.lead.getPosition(),t;if(t=this.session.getFoldAt(e.row,e.column,1))this.moveCursorTo(t.end.row,t.end.column);else if(this.lead.column==this.doc.getLine(this.lead.row).length)this.lead.row0&&(t.column=r)}}this.moveCursorTo(t.row,t.column)},this.moveCursorFileEnd=function(){var e=this.doc.getLength()-1,t=this.doc.getLine(e).length;this.moveCursorTo(e,t)},this.moveCursorFileStart=function(){this.moveCursorTo(0,0)},this.moveCursorLongWordRight=function(){var e=this.lead.row,t=this.lead.column,n=this.doc.getLine(e),r=n.substring(t);this.session.nonTokenRe.lastIndex=0,this.session.tokenRe.lastIndex=0;var i=this.session.getFoldAt(e,t,1);if(i){this.moveCursorTo(i.end.row,i.end.column);return}this.session.nonTokenRe.exec(r)&&(t+=this.session.nonTokenRe.lastIndex,this.session.nonTokenRe.lastIndex=0,r=n.substring(t));if(t>=n.length){this.moveCursorTo(e,n.length),this.moveCursorRight(),e0&&this.moveCursorWordLeft();return}this.session.tokenRe.exec(s)&&(t-=this.session.tokenRe.lastIndex,this.session.tokenRe.lastIndex=0),this.moveCursorTo(e,t)},this.$shortWordEndIndex=function(e){var t=0,n,r=/\s/,i=this.session.tokenRe;i.lastIndex=0;if(this.session.tokenRe.exec(e))t=this.session.tokenRe.lastIndex;else{while((n=e[t])&&r.test(n))t++;if(t<1){i.lastIndex=0;while((n=e[t])&&!i.test(n)){i.lastIndex=0,t++;if(r.test(n)){if(t>2){t--;break}while((n=e[t])&&r.test(n))t++;if(t>2)break}}}}return i.lastIndex=0,t},this.moveCursorShortWordRight=function(){var e=this.lead.row,t=this.lead.column,n=this.doc.getLine(e),r=n.substring(t),i=this.session.getFoldAt(e,t,1);if(i)return this.moveCursorTo(i.end.row,i.end.column);if(t==n.length){var s=this.doc.getLength();do e++,r=this.doc.getLine(e);while(e0&&/^\s*$/.test(r));t=r.length,/\s+$/.test(r)||(r="")}var s=i.stringReverse(r),o=this.$shortWordEndIndex(s);return this.moveCursorTo(e,t-o)},this.moveCursorWordRight=function(){this.session.$selectLongWords?this.moveCursorLongWordRight():this.moveCursorShortWordRight()},this.moveCursorWordLeft=function(){this.session.$selectLongWords?this.moveCursorLongWordLeft():this.moveCursorShortWordLeft()},this.moveCursorBy=function(e,t){var n=this.session.documentToScreenPosition(this.lead.row,this.lead.column),r;t===0&&(e!==0&&(this.session.$bidiHandler.isBidiRow(n.row,this.lead.row)?(r=this.session.$bidiHandler.getPosLeft(n.column),n.column=Math.round(r/this.session.$bidiHandler.charWidths[0])):r=n.column*this.session.$bidiHandler.charWidths[0]),this.$desiredColumn?n.column=this.$desiredColumn:this.$desiredColumn=n.column);var i=this.session.screenToDocumentPosition(n.row+e,n.column,r);e!==0&&t===0&&i.row===this.lead.row&&i.column===this.lead.column&&this.session.lineWidgets&&this.session.lineWidgets[i.row]&&(i.row>0||e>0)&&i.row++,this.moveCursorTo(i.row,i.column+t,t===0)},this.moveCursorToPosition=function(e){this.moveCursorTo(e.row,e.column)},this.moveCursorTo=function(e,t,n){var r=this.session.getFoldAt(e,t,1);r&&(e=r.start.row,t=r.start.column),this.$keepDesiredColumnOnChange=!0;var i=this.session.getLine(e);/[\uDC00-\uDFFF]/.test(i.charAt(t))&&i.charAt(t-1)&&(this.lead.row==e&&this.lead.column==t+1?t-=1:t+=1),this.lead.setPosition(e,t),this.$keepDesiredColumnOnChange=!1,n||(this.$desiredColumn=null)},this.moveCursorToScreen=function(e,t,n){var r=this.session.screenToDocumentPosition(e,t);this.moveCursorTo(r.row,r.column,n)},this.detach=function(){this.lead.detach(),this.anchor.detach(),this.session=this.doc=null},this.fromOrientedRange=function(e){this.setSelectionRange(e,e.cursor==e.start),this.$desiredColumn=e.desiredColumn||this.$desiredColumn},this.toOrientedRange=function(e){var t=this.getRange();return e?(e.start.column=t.start.column,e.start.row=t.start.row,e.end.column=t.end.column,e.end.row=t.end.row):e=t,e.cursor=this.isBackwards()?e.start:e.end,e.desiredColumn=this.$desiredColumn,e},this.getRangeOfMovements=function(e){var t=this.getCursor();try{e(this);var n=this.getCursor();return o.fromPoints(t,n)}catch(r){return o.fromPoints(t,t)}finally{this.moveCursorToPosition(t)}},this.toJSON=function(){if(this.rangeCount)var e=this.ranges.map(function(e){var t=e.clone();return t.isBackwards=e.cursor==e.start,t});else{var e=this.getRange();e.isBackwards=this.isBackwards()}return e},this.fromJSON=function(e){if(e.start==undefined){if(this.rangeList&&e.length>1){this.toSingleRange(e[0]);for(var t=e.length;t--;){var n=o.fromPoints(e[t].start,e[t].end);e[t].isBackwards&&(n.cursor=n.start),this.addRange(n,!0)}return}e=e[0]}this.rangeList&&this.toSingleRange(e),this.setSelectionRange(e,e.isBackwards)},this.isEqual=function(e){if((e.length||this.rangeCount)&&e.length!=this.rangeCount)return!1;if(!e.length||!this.ranges)return this.getRange().isEqual(e);for(var t=this.ranges.length;t--;)if(!this.ranges[t].isEqual(e[t]))return!1;return!0}}).call(u.prototype),t.Selection=u}),ace.define("ace/tokenizer",["require","exports","module","ace/config"],function(e,t,n){"use strict";var r=e("./config"),i=2e3,s=function(e){this.states=e,this.regExps={},this.matchMappings={};for(var t in this.states){var n=this.states[t],r=[],i=0,s=this.matchMappings[t]={defaultToken:"text"},o="g",u=[];for(var a=0;a1?f.onMatch=this.$applyToken:f.onMatch=f.token),c>1&&(/\\\d/.test(f.regex)?l=f.regex.replace(/\\([0-9]+)/g,function(e,t){return"\\"+(parseInt(t,10)+i+1)}):(c=1,l=this.removeCapturingGroups(f.regex)),!f.splitRegex&&typeof f.token!="string"&&u.push(f)),s[i]=a,i+=c,r.push(l),f.onMatch||(f.onMatch=null)}r.length||(s[0]=0,r.push("$")),u.forEach(function(e){e.splitRegex=this.createSplitterRegexp(e.regex,o)},this),this.regExps[t]=new RegExp("("+r.join(")|(")+")|($)",o)}};(function(){this.$setMaxTokenCount=function(e){i=e|0},this.$applyToken=function(e){var t=this.splitRegex.exec(e).slice(1),n=this.token.apply(this,t);if(typeof n=="string")return[{type:n,value:e}];var r=[];for(var i=0,s=n.length;il){var g=e.substring(l,m-v.length);h.type==p?h.value+=g:(h.type&&f.push(h),h={type:p,value:g})}for(var y=0;yi){c>2*e.length&&this.reportError("infinite loop with in ace tokenizer",{startState:t,line:e});while(l1&&n[0]!==r&&n.unshift("#tmp",r),{tokens:f,state:n.length?n:r}},this.reportError=r.reportError}).call(s.prototype),t.Tokenizer=s}),ace.define("ace/mode/text_highlight_rules",["require","exports","module","ace/lib/lang"],function(e,t,n){"use strict";var r=e("../lib/lang"),i=function(){this.$rules={start:[{token:"empty_line",regex:"^$"},{defaultToken:"text"}]}};(function(){this.addRules=function(e,t){if(!t){for(var n in e)this.$rules[n]=e[n];return}for(var n in e){var r=e[n];for(var i=0;i=this.$rowTokens.length){this.$row+=1,e||(e=this.$session.getLength());if(this.$row>=e)return this.$row=e-1,null;this.$rowTokens=this.$session.getTokens(this.$row),this.$tokenIndex=0}return this.$rowTokens[this.$tokenIndex]},this.getCurrentToken=function(){return this.$rowTokens[this.$tokenIndex]},this.getCurrentTokenRow=function(){return this.$row},this.getCurrentTokenColumn=function(){var e=this.$rowTokens,t=this.$tokenIndex,n=e[t].start;if(n!==undefined)return n;n=0;while(t>0)t-=1,n+=e[t].value.length;return n},this.getCurrentTokenPosition=function(){return{row:this.$row,column:this.getCurrentTokenColumn()}},this.getCurrentTokenRange=function(){var e=this.$rowTokens[this.$tokenIndex],t=this.getCurrentTokenColumn();return new r(this.$row,t,this.$row,t+e.value.length)}}).call(i.prototype),t.TokenIterator=i}),ace.define("ace/mode/behaviour/cstyle",["require","exports","module","ace/lib/oop","ace/mode/behaviour","ace/token_iterator","ace/lib/lang"],function(e,t,n){"use strict";var r=e("../../lib/oop"),i=e("../behaviour").Behaviour,s=e("../../token_iterator").TokenIterator,o=e("../../lib/lang"),u=["text","paren.rparen","punctuation.operator"],a=["text","paren.rparen","punctuation.operator","comment"],f,l={},c={'"':'"',"'":"'"},h=function(e){var t=-1;e.multiSelect&&(t=e.selection.index,l.rangeCount!=e.multiSelect.rangeCount&&(l={rangeCount:e.multiSelect.rangeCount}));if(l[t])return f=l[t];f=l[t]={autoInsertedBrackets:0,autoInsertedRow:-1,autoInsertedLineEnd:"",maybeInsertedBrackets:0,maybeInsertedRow:-1,maybeInsertedLineStart:"",maybeInsertedLineEnd:""}},p=function(e,t,n,r){var i=e.end.row-e.start.row;return{text:n+t+r,selection:[0,e.start.column+1,i,e.end.column+(i?0:1)]}},d=function(e){this.add("braces","insertion",function(t,n,r,i,s){var u=r.getCursorPosition(),a=i.doc.getLine(u.row);if(s=="{"){h(r);var l=r.getSelectionRange(),c=i.doc.getTextRange(l);if(c!==""&&c!=="{"&&r.getWrapBehavioursEnabled())return p(l,c,"{","}");if(d.isSaneInsertion(r,i))return/[\]\}\)]/.test(a[u.column])||r.inMultiSelectMode||e&&e.braces?(d.recordAutoInsert(r,i,"}"),{text:"{}",selection:[1,1]}):(d.recordMaybeInsert(r,i,"{"),{text:"{",selection:[1,1]})}else if(s=="}"){h(r);var v=a.substring(u.column,u.column+1);if(v=="}"){var m=i.$findOpeningBracket("}",{column:u.column+1,row:u.row});if(m!==null&&d.isAutoInsertedClosing(u,a,s))return d.popAutoInsertedClosing(),{text:"",selection:[1,1]}}}else{if(s=="\n"||s=="\r\n"){h(r);var g="";d.isMaybeInsertedClosing(u,a)&&(g=o.stringRepeat("}",f.maybeInsertedBrackets),d.clearMaybeInsertedClosing());var v=a.substring(u.column,u.column+1);if(v==="}"){var y=i.findMatchingBracket({row:u.row,column:u.column+1},"}");if(!y)return null;var b=this.$getIndent(i.getLine(y.row))}else{if(!g){d.clearMaybeInsertedClosing();return}var b=this.$getIndent(a)}var w=b+i.getTabString();return{text:"\n"+w+"\n"+b+g,selection:[1,w.length,1,w.length]}}d.clearMaybeInsertedClosing()}}),this.add("braces","deletion",function(e,t,n,r,i){var s=r.doc.getTextRange(i);if(!i.isMultiLine()&&s=="{"){h(n);var o=r.doc.getLine(i.start.row),u=o.substring(i.end.column,i.end.column+1);if(u=="}")return i.end.column++,i;f.maybeInsertedBrackets--}}),this.add("parens","insertion",function(e,t,n,r,i){if(i=="("){h(n);var s=n.getSelectionRange(),o=r.doc.getTextRange(s);if(o!==""&&n.getWrapBehavioursEnabled())return p(s,o,"(",")");if(d.isSaneInsertion(n,r))return d.recordAutoInsert(n,r,")"),{text:"()",selection:[1,1]}}else if(i==")"){h(n);var u=n.getCursorPosition(),a=r.doc.getLine(u.row),f=a.substring(u.column,u.column+1);if(f==")"){var l=r.$findOpeningBracket(")",{column:u.column+1,row:u.row});if(l!==null&&d.isAutoInsertedClosing(u,a,i))return d.popAutoInsertedClosing(),{text:"",selection:[1,1]}}}}),this.add("parens","deletion",function(e,t,n,r,i){var s=r.doc.getTextRange(i);if(!i.isMultiLine()&&s=="("){h(n);var o=r.doc.getLine(i.start.row),u=o.substring(i.start.column+1,i.start.column+2);if(u==")")return i.end.column++,i}}),this.add("brackets","insertion",function(e,t,n,r,i){if(i=="["){h(n);var s=n.getSelectionRange(),o=r.doc.getTextRange(s);if(o!==""&&n.getWrapBehavioursEnabled())return p(s,o,"[","]");if(d.isSaneInsertion(n,r))return d.recordAutoInsert(n,r,"]"),{text:"[]",selection:[1,1]}}else if(i=="]"){h(n);var u=n.getCursorPosition(),a=r.doc.getLine(u.row),f=a.substring(u.column,u.column+1);if(f=="]"){var l=r.$findOpeningBracket("]",{column:u.column+1,row:u.row});if(l!==null&&d.isAutoInsertedClosing(u,a,i))return d.popAutoInsertedClosing(),{text:"",selection:[1,1]}}}}),this.add("brackets","deletion",function(e,t,n,r,i){var s=r.doc.getTextRange(i);if(!i.isMultiLine()&&s=="["){h(n);var o=r.doc.getLine(i.start.row),u=o.substring(i.start.column+1,i.start.column+2);if(u=="]")return i.end.column++,i}}),this.add("string_dquotes","insertion",function(e,t,n,r,i){var s=r.$mode.$quotes||c;if(i.length==1&&s[i]){if(this.lineCommentStart&&this.lineCommentStart.indexOf(i)!=-1)return;h(n);var o=i,u=n.getSelectionRange(),a=r.doc.getTextRange(u);if(a!==""&&(a.length!=1||!s[a])&&n.getWrapBehavioursEnabled())return p(u,a,o,o);if(!a){var f=n.getCursorPosition(),l=r.doc.getLine(f.row),d=l.substring(f.column-1,f.column),v=l.substring(f.column,f.column+1),m=r.getTokenAt(f.row,f.column),g=r.getTokenAt(f.row,f.column+1);if(d=="\\"&&m&&/escape/.test(m.type))return null;var y=m&&/string|escape/.test(m.type),b=!g||/string|escape/.test(g.type),w;if(v==o)w=y!==b,w&&/string\.end/.test(g.type)&&(w=!1);else{if(y&&!b)return null;if(y&&b)return null;var E=r.$mode.tokenRe;E.lastIndex=0;var S=E.test(d);E.lastIndex=0;var x=E.test(d);if(S||x)return null;if(v&&!/[\s;,.})\]\\]/.test(v))return null;w=!0}return{text:w?o+o:"",selection:[1,1]}}}}),this.add("string_dquotes","deletion",function(e,t,n,r,i){var s=r.$mode.$quotes||c,o=r.doc.getTextRange(i);if(!i.isMultiLine()&&s.hasOwnProperty(o)){h(n);var u=r.doc.getLine(i.start.row),a=u.substring(i.start.column+1,i.start.column+2);if(a==o)return i.end.column++,i}})};d.isSaneInsertion=function(e,t){var n=e.getCursorPosition(),r=new s(t,n.row,n.column);if(!this.$matchTokenType(r.getCurrentToken()||"text",u)){var i=new s(t,n.row,n.column+1);if(!this.$matchTokenType(i.getCurrentToken()||"text",u))return!1}return r.stepForward(),r.getCurrentTokenRow()!==n.row||this.$matchTokenType(r.getCurrentToken()||"text",a)},d.$matchTokenType=function(e,t){return t.indexOf(e.type||e)>-1},d.recordAutoInsert=function(e,t,n){var r=e.getCursorPosition(),i=t.doc.getLine(r.row);this.isAutoInsertedClosing(r,i,f.autoInsertedLineEnd[0])||(f.autoInsertedBrackets=0),f.autoInsertedRow=r.row,f.autoInsertedLineEnd=n+i.substr(r.column),f.autoInsertedBrackets++},d.recordMaybeInsert=function(e,t,n){var r=e.getCursorPosition(),i=t.doc.getLine(r.row);this.isMaybeInsertedClosing(r,i)||(f.maybeInsertedBrackets=0),f.maybeInsertedRow=r.row,f.maybeInsertedLineStart=i.substr(0,r.column)+n,f.maybeInsertedLineEnd=i.substr(r.column),f.maybeInsertedBrackets++},d.isAutoInsertedClosing=function(e,t,n){return f.autoInsertedBrackets>0&&e.row===f.autoInsertedRow&&n===f.autoInsertedLineEnd[0]&&t.substr(e.column)===f.autoInsertedLineEnd},d.isMaybeInsertedClosing=function(e,t){return f.maybeInsertedBrackets>0&&e.row===f.maybeInsertedRow&&t.substr(e.column)===f.maybeInsertedLineEnd&&t.substr(0,e.column)==f.maybeInsertedLineStart},d.popAutoInsertedClosing=function(){f.autoInsertedLineEnd=f.autoInsertedLineEnd.substr(1),f.autoInsertedBrackets--},d.clearMaybeInsertedClosing=function(){f&&(f.maybeInsertedBrackets=0,f.maybeInsertedRow=-1)},r.inherits(d,i),t.CstyleBehaviour=d}),ace.define("ace/unicode",["require","exports","module"],function(e,t,n){"use strict";var r=[48,9,8,25,5,0,2,25,48,0,11,0,5,0,6,22,2,30,2,457,5,11,15,4,8,0,2,0,18,116,2,1,3,3,9,0,2,2,2,0,2,19,2,82,2,138,2,4,3,155,12,37,3,0,8,38,10,44,2,0,2,1,2,1,2,0,9,26,6,2,30,10,7,61,2,9,5,101,2,7,3,9,2,18,3,0,17,58,3,100,15,53,5,0,6,45,211,57,3,18,2,5,3,11,3,9,2,1,7,6,2,2,2,7,3,1,3,21,2,6,2,0,4,3,3,8,3,1,3,3,9,0,5,1,2,4,3,11,16,2,2,5,5,1,3,21,2,6,2,1,2,1,2,1,3,0,2,4,5,1,3,2,4,0,8,3,2,0,8,15,12,2,2,8,2,2,2,21,2,6,2,1,2,4,3,9,2,2,2,2,3,0,16,3,3,9,18,2,2,7,3,1,3,21,2,6,2,1,2,4,3,8,3,1,3,2,9,1,5,1,2,4,3,9,2,0,17,1,2,5,4,2,2,3,4,1,2,0,2,1,4,1,4,2,4,11,5,4,4,2,2,3,3,0,7,0,15,9,18,2,2,7,2,2,2,22,2,9,2,4,4,7,2,2,2,3,8,1,2,1,7,3,3,9,19,1,2,7,2,2,2,22,2,9,2,4,3,8,2,2,2,3,8,1,8,0,2,3,3,9,19,1,2,7,2,2,2,22,2,15,4,7,2,2,2,3,10,0,9,3,3,9,11,5,3,1,2,17,4,23,2,8,2,0,3,6,4,0,5,5,2,0,2,7,19,1,14,57,6,14,2,9,40,1,2,0,3,1,2,0,3,0,7,3,2,6,2,2,2,0,2,0,3,1,2,12,2,2,3,4,2,0,2,5,3,9,3,1,35,0,24,1,7,9,12,0,2,0,2,0,5,9,2,35,5,19,2,5,5,7,2,35,10,0,58,73,7,77,3,37,11,42,2,0,4,328,2,3,3,6,2,0,2,3,3,40,2,3,3,32,2,3,3,6,2,0,2,3,3,14,2,56,2,3,3,66,5,0,33,15,17,84,13,619,3,16,2,25,6,74,22,12,2,6,12,20,12,19,13,12,2,2,2,1,13,51,3,29,4,0,5,1,3,9,34,2,3,9,7,87,9,42,6,69,11,28,4,11,5,11,11,39,3,4,12,43,5,25,7,10,38,27,5,62,2,28,3,10,7,9,14,0,89,75,5,9,18,8,13,42,4,11,71,55,9,9,4,48,83,2,2,30,14,230,23,280,3,5,3,37,3,5,3,7,2,0,2,0,2,0,2,30,3,52,2,6,2,0,4,2,2,6,4,3,3,5,5,12,6,2,2,6,67,1,20,0,29,0,14,0,17,4,60,12,5,0,4,11,18,0,5,0,3,9,2,0,4,4,7,0,2,0,2,0,2,3,2,10,3,3,6,4,5,0,53,1,2684,46,2,46,2,132,7,6,15,37,11,53,10,0,17,22,10,6,2,6,2,6,2,6,2,6,2,6,2,6,2,6,2,31,48,0,470,1,36,5,2,4,6,1,5,85,3,1,3,2,2,89,2,3,6,40,4,93,18,23,57,15,513,6581,75,20939,53,1164,68,45,3,268,4,27,21,31,3,13,13,1,2,24,9,69,11,1,38,8,3,102,3,1,111,44,25,51,13,68,12,9,7,23,4,0,5,45,3,35,13,28,4,64,15,10,39,54,10,13,3,9,7,22,4,1,5,66,25,2,227,42,2,1,3,9,7,11171,13,22,5,48,8453,301,3,61,3,105,39,6,13,4,6,11,2,12,2,4,2,0,2,1,2,1,2,107,34,362,19,63,3,53,41,11,5,15,17,6,13,1,25,2,33,4,2,134,20,9,8,25,5,0,2,25,12,88,4,5,3,5,3,5,3,2],i=0,s=[];for(var o=0;o2?r%f!=f-1:r%f==0}}var E=Infinity;w(function(e,t){var n=e.search(/\S/);n!==-1?(ne.length&&(E=e.length)}),u==Infinity&&(u=E,s=!1,o=!1),l&&u%f!=0&&(u=Math.floor(u/f)*f),w(o?m:v)},this.toggleBlockComment=function(e,t,n,r){var i=this.blockComment;if(!i)return;!i.start&&i[0]&&(i=i[0]);var s=new f(t,r.row,r.column),o=s.getCurrentToken(),u=t.selection,a=t.selection.toOrientedRange(),c,h;if(o&&/comment/.test(o.type)){var p,d;while(o&&/comment/.test(o.type)){var v=o.value.indexOf(i.start);if(v!=-1){var m=s.getCurrentTokenRow(),g=s.getCurrentTokenColumn()+v;p=new l(m,g,m,g+i.start.length);break}o=s.stepBackward()}var s=new f(t,r.row,r.column),o=s.getCurrentToken();while(o&&/comment/.test(o.type)){var v=o.value.indexOf(i.end);if(v!=-1){var m=s.getCurrentTokenRow(),g=s.getCurrentTokenColumn()+v;d=new l(m,g,m,g+i.end.length);break}o=s.stepForward()}d&&t.remove(d),p&&(t.remove(p),c=p.start.row,h=-i.start.length)}else h=i.start.length,c=n.start.row,t.insert(n.end,i.end),t.insert(n.start,i.start);a.start.row==c&&(a.start.column+=h),a.end.row==c&&(a.end.column+=h),t.selection.fromOrientedRange(a)},this.getNextLineIndent=function(e,t,n){return this.$getIndent(t)},this.checkOutdent=function(e,t,n){return!1},this.autoOutdent=function(e,t,n){},this.$getIndent=function(e){return e.match(/^\s*/)[0]},this.createWorker=function(e){return null},this.createModeDelegates=function(e){this.$embeds=[],this.$modes={};for(var t in e)if(e[t]){var n=e[t],i=n.prototype.$id,s=r.$modes[i];s||(r.$modes[i]=s=new n),r.$modes[t]||(r.$modes[t]=s),this.$embeds.push(t),this.$modes[t]=s}var o=["toggleBlockComment","toggleCommentLines","getNextLineIndent","checkOutdent","autoOutdent","transformAction","getCompletions"];for(var t=0;t=0&&t.row=0&&t.column<=e[t.row].length}function s(e,t){t.action!="insert"&&t.action!="remove"&&r(t,"delta.action must be 'insert' or 'remove'"),t.lines instanceof Array||r(t,"delta.lines must be an Array"),(!t.start||!t.end)&&r(t,"delta.start/end must be an present");var n=t.start;i(e,t.start)||r(t,"delta.start must be contained in document");var s=t.end;t.action=="remove"&&!i(e,s)&&r(t,"delta.end must contained in document for 'remove' actions");var o=s.row-n.row,u=s.column-(o==0?n.column:0);(o!=t.lines.length-1||t.lines[o].length!=u)&&r(t,"delta.range must match delta lines")}t.applyDelta=function(e,t,n){var r=t.start.row,i=t.start.column,s=e[r]||"";switch(t.action){case"insert":var o=t.lines;if(o.length===1)e[r]=s.substring(0,i)+t.lines[0]+s.substring(i);else{var u=[r,1].concat(t.lines);e.splice.apply(e,u),e[r]=s.substring(0,i)+e[r],e[r+t.lines.length-1]+=s.substring(i)}break;case"remove":var a=t.end.column,f=t.end.row;r===f?e[r]=s.substring(0,i)+s.substring(a):e.splice(r,f-r+1,s.substring(0,i)+e[f].substring(a))}}}),ace.define("ace/anchor",["require","exports","module","ace/lib/oop","ace/lib/event_emitter"],function(e,t,n){"use strict";var r=e("./lib/oop"),i=e("./lib/event_emitter").EventEmitter,s=t.Anchor=function(e,t,n){this.$onChange=this.onChange.bind(this),this.attach(e),typeof n=="undefined"?this.setPosition(t.row,t.column):this.setPosition(t,n)};(function(){function e(e,t,n){var r=n?e.column<=t.column:e.columnthis.row)return;var n=t(e,{row:this.row,column:this.column},this.$insertRight);this.setPosition(n.row,n.column,!0)},this.setPosition=function(e,t,n){var r;n?r={row:e,column:t}:r=this.$clipPositionToDocument(e,t);if(this.row==r.row&&this.column==r.column)return;var i={row:this.row,column:this.column};this.row=r.row,this.column=r.column,this._signal("change",{old:i,value:r})},this.detach=function(){this.document.removeEventListener("change",this.$onChange)},this.attach=function(e){this.document=e||this.document,this.document.on("change",this.$onChange)},this.$clipPositionToDocument=function(e,t){var n={};return e>=this.document.getLength()?(n.row=Math.max(0,this.document.getLength()-1),n.column=this.document.getLine(n.row).length):e<0?(n.row=0,n.column=0):(n.row=e,n.column=Math.min(this.document.getLine(n.row).length,Math.max(0,t))),t<0&&(n.column=0),n}}).call(s.prototype)}),ace.define("ace/document",["require","exports","module","ace/lib/oop","ace/apply_delta","ace/lib/event_emitter","ace/range","ace/anchor"],function(e,t,n){"use strict";var r=e("./lib/oop"),i=e("./apply_delta").applyDelta,s=e("./lib/event_emitter").EventEmitter,o=e("./range").Range,u=e("./anchor").Anchor,a=function(e){this.$lines=[""],e.length===0?this.$lines=[""]:Array.isArray(e)?this.insertMergedLines({row:0,column:0},e):this.insert({row:0,column:0},e)};(function(){r.implement(this,s),this.setValue=function(e){var t=this.getLength()-1;this.remove(new o(0,0,t,this.getLine(t).length)),this.insert({row:0,column:0},e)},this.getValue=function(){return this.getAllLines().join(this.getNewLineCharacter())},this.createAnchor=function(e,t){return new u(this,e,t)},"aaa".split(/a/).length===0?this.$split=function(e){return e.replace(/\r\n|\r/g,"\n").split("\n")}:this.$split=function(e){return e.split(/\r\n|\r|\n/)},this.$detectNewLine=function(e){var t=e.match(/^.*?(\r\n|\r|\n)/m);this.$autoNewLine=t?t[1]:"\n",this._signal("changeNewLineMode")},this.getNewLineCharacter=function(){switch(this.$newLineMode){case"windows":return"\r\n";case"unix":return"\n";default:return this.$autoNewLine||"\n"}},this.$autoNewLine="",this.$newLineMode="auto",this.setNewLineMode=function(e){if(this.$newLineMode===e)return;this.$newLineMode=e,this._signal("changeNewLineMode")},this.getNewLineMode=function(){return this.$newLineMode},this.isNewLine=function(e){return e=="\r\n"||e=="\r"||e=="\n"},this.getLine=function(e){return this.$lines[e]||""},this.getLines=function(e,t){return this.$lines.slice(e,t+1)},this.getAllLines=function(){return this.getLines(0,this.getLength())},this.getLength=function(){return this.$lines.length},this.getTextRange=function(e){return this.getLinesForRange(e).join(this.getNewLineCharacter())},this.getLinesForRange=function(e){var t;if(e.start.row===e.end.row)t=[this.getLine(e.start.row).substring(e.start.column,e.end.column)];else{t=this.getLines(e.start.row,e.end.row),t[0]=(t[0]||"").substring(e.start.column);var n=t.length-1;e.end.row-e.start.row==n&&(t[n]=t[n].substring(0,e.end.column))}return t},this.insertLines=function(e,t){return console.warn("Use of document.insertLines is deprecated. Use the insertFullLines method instead."),this.insertFullLines(e,t)},this.removeLines=function(e,t){return console.warn("Use of document.removeLines is deprecated. Use the removeFullLines method instead."),this.removeFullLines(e,t)},this.insertNewLine=function(e){return console.warn("Use of document.insertNewLine is deprecated. Use insertMergedLines(position, ['', '']) instead."),this.insertMergedLines(e,["",""])},this.insert=function(e,t){return this.getLength()<=1&&this.$detectNewLine(t),this.insertMergedLines(e,this.$split(t))},this.insertInLine=function(e,t){var n=this.clippedPos(e.row,e.column),r=this.pos(e.row,e.column+t.length);return this.applyDelta({start:n,end:r,action:"insert",lines:[t]},!0),this.clonePos(r)},this.clippedPos=function(e,t){var n=this.getLength();e===undefined?e=n:e<0?e=0:e>=n&&(e=n-1,t=undefined);var r=this.getLine(e);return t==undefined&&(t=r.length),t=Math.min(Math.max(t,0),r.length),{row:e,column:t}},this.clonePos=function(e){return{row:e.row,column:e.column}},this.pos=function(e,t){return{row:e,column:t}},this.$clipPosition=function(e){var t=this.getLength();return e.row>=t?(e.row=Math.max(0,t-1),e.column=this.getLine(t-1).length):(e.row=Math.max(0,e.row),e.column=Math.min(Math.max(e.column,0),this.getLine(e.row).length)),e},this.insertFullLines=function(e,t){e=Math.min(Math.max(e,0),this.getLength());var n=0;e0,r=t=0&&this.applyDelta({start:this.pos(e,this.getLine(e).length),end:this.pos(e+1,0),action:"remove",lines:["",""]})},this.replace=function(e,t){e instanceof o||(e=o.fromPoints(e.start,e.end));if(t.length===0&&e.isEmpty())return e.start;if(t==this.getTextRange(e))return e.end;this.remove(e);var n;return t?n=this.insert(e.start,t):n=e.start,n},this.applyDeltas=function(e){for(var t=0;t=0;t--)this.revertDelta(e[t])},this.applyDelta=function(e,t){var n=e.action=="insert";if(n?e.lines.length<=1&&!e.lines[0]:!o.comparePoints(e.start,e.end))return;n&&e.lines.length>2e4?this.$splitAndapplyLargeDelta(e,2e4):(i(this.$lines,e,t),this._signal("change",e))},this.$splitAndapplyLargeDelta=function(e,t){var n=e.lines,r=n.length-t+1,i=e.start.row,s=e.start.column;for(var o=0,u=0;o20){n.running=setTimeout(n.$worker,20);break}}n.currentLine=t,r==-1&&(r=t),s<=r&&n.fireUpdateEvent(s,r)}};(function(){r.implement(this,i),this.setTokenizer=function(e){this.tokenizer=e,this.lines=[],this.states=[],this.start(0)},this.setDocument=function(e){this.doc=e,this.lines=[],this.states=[],this.stop()},this.fireUpdateEvent=function(e,t){var n={first:e,last:t};this._signal("update",{data:n})},this.start=function(e){this.currentLine=Math.min(e||0,this.currentLine,this.doc.getLength()),this.lines.splice(this.currentLine,this.lines.length),this.states.splice(this.currentLine,this.states.length),this.stop(),this.running=setTimeout(this.$worker,700)},this.scheduleStart=function(){this.running||(this.running=setTimeout(this.$worker,700))},this.$updateOnChange=function(e){var t=e.start.row,n=e.end.row-t;if(n===0)this.lines[t]=null;else if(e.action=="remove")this.lines.splice(t,n+1,null),this.states.splice(t,n+1,null);else{var r=Array(n+1);r.unshift(t,1),this.lines.splice.apply(this.lines,r),this.states.splice.apply(this.states,r)}this.currentLine=Math.min(t,this.currentLine,this.doc.getLength()),this.stop()},this.stop=function(){this.running&&clearTimeout(this.running),this.running=!1},this.getTokens=function(e){return this.lines[e]||this.$tokenizeRow(e)},this.getState=function(e){return this.currentLine==e&&this.$tokenizeRow(e),this.states[e]||"start"},this.$tokenizeRow=function(e){var t=this.doc.getLine(e),n=this.states[e-1],r=this.tokenizer.getLineTokens(t,n,e);return this.states[e]+""!=r.state+""?(this.states[e]=r.state,this.lines[e+1]=null,this.currentLine>e+1&&(this.currentLine=e+1)):this.currentLine==e&&(this.currentLine=e+1),this.lines[e]=r.tokens}}).call(s.prototype),t.BackgroundTokenizer=s}),ace.define("ace/search_highlight",["require","exports","module","ace/lib/lang","ace/lib/oop","ace/range"],function(e,t,n){"use strict";var r=e("./lib/lang"),i=e("./lib/oop"),s=e("./range").Range,o=function(e,t,n){this.setRegexp(e),this.clazz=t,this.type=n||"text"};(function(){this.MAX_RANGES=500,this.setRegexp=function(e){if(this.regExp+""==e+"")return;this.regExp=e,this.cache=[]},this.update=function(e,t,n,i){if(!this.regExp)return;var o=i.firstRow,u=i.lastRow;for(var a=o;a<=u;a++){var f=this.cache[a];f==null&&(f=r.getMatchOffsets(n.getLine(a),this.regExp),f.length>this.MAX_RANGES&&(f=f.slice(0,this.MAX_RANGES)),f=f.map(function(e){return new s(a,e.offset,a,e.offset+e.length)}),this.cache[a]=f.length?f:"");for(var l=f.length;l--;)t.drawSingleLineMarker(e,f[l].toScreenRange(n),this.clazz,i)}}}).call(o.prototype),t.SearchHighlight=o}),ace.define("ace/edit_session/fold_line",["require","exports","module","ace/range"],function(e,t,n){"use strict";function i(e,t){this.foldData=e,Array.isArray(t)?this.folds=t:t=this.folds=[t];var n=t[t.length-1];this.range=new r(t[0].start.row,t[0].start.column,n.end.row,n.end.column),this.start=this.range.start,this.end=this.range.end,this.folds.forEach(function(e){e.setFoldLine(this)},this)}var r=e("../range").Range;(function(){this.shiftRow=function(e){this.start.row+=e,this.end.row+=e,this.folds.forEach(function(t){t.start.row+=e,t.end.row+=e})},this.addFold=function(e){if(e.sameRow){if(e.start.rowthis.endRow)throw new Error("Can't add a fold to this FoldLine as it has no connection");this.folds.push(e),this.folds.sort(function(e,t){return-e.range.compareEnd(t.start.row,t.start.column)}),this.range.compareEnd(e.start.row,e.start.column)>0?(this.end.row=e.end.row,this.end.column=e.end.column):this.range.compareStart(e.end.row,e.end.column)<0&&(this.start.row=e.start.row,this.start.column=e.start.column)}else if(e.start.row==this.end.row)this.folds.push(e),this.end.row=e.end.row,this.end.column=e.end.column;else{if(e.end.row!=this.start.row)throw new Error("Trying to add fold to FoldRow that doesn't have a matching row");this.folds.unshift(e),this.start.row=e.start.row,this.start.column=e.start.column}e.foldLine=this},this.containsRow=function(e){return e>=this.start.row&&e<=this.end.row},this.walk=function(e,t,n){var r=0,i=this.folds,s,o,u,a=!0;t==null&&(t=this.end.row,n=this.end.column);for(var f=0;f0)continue;var a=i(e,o.start);return u===0?t&&a!==0?-s-2:s:a>0||a===0&&!t?s:-s-1}return-s-1},this.add=function(e){var t=!e.isEmpty(),n=this.pointIndex(e.start,t);n<0&&(n=-n-1);var r=this.pointIndex(e.end,t,n);return r<0?r=-r-1:r++,this.ranges.splice(n,r-n,e)},this.addList=function(e){var t=[];for(var n=e.length;n--;)t.push.apply(t,this.add(e[n]));return t},this.substractPoint=function(e){var t=this.pointIndex(e);if(t>=0)return this.ranges.splice(t,1)},this.merge=function(){var e=[],t=this.ranges;t=t.sort(function(e,t){return i(e.start,t.start)});var n=t[0],r;for(var s=1;s=0},this.containsPoint=function(e){return this.pointIndex(e)>=0},this.rangeAtPoint=function(e){var t=this.pointIndex(e);if(t>=0)return this.ranges[t]},this.clipRows=function(e,t){var n=this.ranges;if(n[0].start.row>t||n[n.length-1].start.row=r)break}if(e.action=="insert"){var f=i-r,l=-t.column+n.column;for(;or)break;a.start.row==r&&a.start.column>=t.column&&(a.start.column!=t.column||!this.$insertRight)&&(a.start.column+=l,a.start.row+=f);if(a.end.row==r&&a.end.column>=t.column){if(a.end.column==t.column&&this.$insertRight)continue;a.end.column==t.column&&l>0&&oa.start.column&&a.end.column==s[o+1].start.column&&(a.end.column-=l),a.end.column+=l,a.end.row+=f}}}else{var f=r-i,l=t.column-n.column;for(;oi)break;if(a.end.rowt.column)a.end.column=t.column,a.end.row=t.row}else a.end.column+=l,a.end.row+=f;else a.end.row>i&&(a.end.row+=f);if(a.start.rowt.column)a.start.column=t.column,a.start.row=t.row}else a.start.column+=l,a.start.row+=f;else a.start.row>i&&(a.start.row+=f)}}if(f!=0&&o=e)return i;if(i.end.row>e)return null}return null},this.getNextFoldLine=function(e,t){var n=this.$foldData,r=0;t&&(r=n.indexOf(t)),r==-1&&(r=0);for(r;r=e)return i}return null},this.getFoldedRowCount=function(e,t){var n=this.$foldData,r=t-e+1;for(var i=0;i=t){u=e?r-=t-u:r=0);break}o>=e&&(u>=e?r-=o-u:r-=o-e+1)}return r},this.$addFoldLine=function(e){return this.$foldData.push(e),this.$foldData.sort(function(e,t){return e.start.row-t.start.row}),e},this.addFold=function(e,t){var n=this.$foldData,r=!1,o;e instanceof s?o=e:(o=new s(t,e),o.collapseChildren=t.collapseChildren),this.$clipRangeToDocument(o.range);var u=o.start.row,a=o.start.column,f=o.end.row,l=o.end.column;if(u0&&(this.removeFolds(p),p.forEach(function(e){o.addSubFold(e)}));for(var d=0;d0&&this.foldAll(e.start.row+1,e.end.row,e.collapseChildren-1),e.subFolds=[]},this.expandFolds=function(e){e.forEach(function(e){this.expandFold(e)},this)},this.unfold=function(e,t){var n,i;e==null?(n=new r(0,0,this.getLength(),0),t=!0):typeof e=="number"?n=new r(e,0,e,this.getLine(e).length):"row"in e?n=r.fromPoints(e,e):n=e,i=this.getFoldsInRangeList(n);if(t)this.removeFolds(i);else{var s=i;while(s.length)this.expandFolds(s),s=this.getFoldsInRangeList(n)}if(i.length)return i},this.isRowFolded=function(e,t){return!!this.getFoldLine(e,t)},this.getRowFoldEnd=function(e,t){var n=this.getFoldLine(e,t);return n?n.end.row:e},this.getRowFoldStart=function(e,t){var n=this.getFoldLine(e,t);return n?n.start.row:e},this.getFoldDisplayLine=function(e,t,n,r,i){r==null&&(r=e.start.row),i==null&&(i=0),t==null&&(t=e.end.row),n==null&&(n=this.getLine(t).length);var s=this.doc,o="";return e.walk(function(e,t,n,u){if(tl)break}while(s&&a.test(s.type));s=i.stepBackward()}else s=i.getCurrentToken();return f.end.row=i.getCurrentTokenRow(),f.end.column=i.getCurrentTokenColumn()+s.value.length-2,f}},this.foldAll=function(e,t,n){n==undefined&&(n=1e5);var r=this.foldWidgets;if(!r)return;t=t||this.getLength(),e=e||0;for(var i=e;i=e){i=s.end.row;try{var o=this.addFold("...",s);o&&(o.collapseChildren=n)}catch(u){}}}},this.$foldStyles={manual:1,markbegin:1,markbeginend:1},this.$foldStyle="markbegin",this.setFoldStyle=function(e){if(!this.$foldStyles[e])throw new Error("invalid fold style: "+e+"["+Object.keys(this.$foldStyles).join(", ")+"]");if(this.$foldStyle==e)return;this.$foldStyle=e,e=="manual"&&this.unfold();var t=this.$foldMode;this.$setFolding(null),this.$setFolding(t)},this.$setFolding=function(e){if(this.$foldMode==e)return;this.$foldMode=e,this.off("change",this.$updateFoldWidgets),this.off("tokenizerUpdate",this.$tokenizerUpdateFoldWidgets),this._signal("changeAnnotation");if(!e||this.$foldStyle=="manual"){this.foldWidgets=null;return}this.foldWidgets=[],this.getFoldWidget=e.getFoldWidget.bind(e,this,this.$foldStyle),this.getFoldWidgetRange=e.getFoldWidgetRange.bind(e,this,this.$foldStyle),this.$updateFoldWidgets=this.updateFoldWidgets.bind(this),this.$tokenizerUpdateFoldWidgets=this.tokenizerUpdateFoldWidgets.bind(this),this.on("change",this.$updateFoldWidgets),this.on("tokenizerUpdate",this.$tokenizerUpdateFoldWidgets)},this.getParentFoldRangeData=function(e,t){var n=this.foldWidgets;if(!n||t&&n[e])return{};var r=e-1,i;while(r>=0){var s=n[r];s==null&&(s=n[r]=this.getFoldWidget(r));if(s=="start"){var o=this.getFoldWidgetRange(r);i||(i=o);if(o&&o.end.row>=e)break}r--}return{range:r!==-1&&o,firstRange:i}},this.onFoldWidgetClick=function(e,t){t=t.domEvent;var n={children:t.shiftKey,all:t.ctrlKey||t.metaKey,siblings:t.altKey},r=this.$toggleFoldWidget(e,n);if(!r){var i=t.target||t.srcElement;i&&/ace_fold-widget/.test(i.className)&&(i.className+=" ace_invalid")}},this.$toggleFoldWidget=function(e,t){if(!this.getFoldWidget)return;var n=this.getFoldWidget(e),r=this.getLine(e),i=n==="end"?-1:1,s=this.getFoldAt(e,i===-1?0:r.length,i);if(s)return t.children||t.all?this.removeFold(s):this.expandFold(s),s;var o=this.getFoldWidgetRange(e,!0);if(o&&!o.isMultiLine()){s=this.getFoldAt(o.start.row,o.start.column,1);if(s&&o.isEqual(s.range))return this.removeFold(s),s}if(t.siblings){var u=this.getParentFoldRangeData(e);if(u.range)var a=u.range.start.row+1,f=u.range.end.row;this.foldAll(a,f,t.all?1e4:0)}else t.children?(f=o?o.end.row:this.getLength(),this.foldAll(e+1,f,t.all?1e4:0)):o&&(t.all&&(o.collapseChildren=1e4),this.addFold("...",o));return o},this.toggleFoldWidget=function(e){var t=this.selection.getCursor().row;t=this.getRowFoldStart(t);var n=this.$toggleFoldWidget(t,{});if(n)return;var r=this.getParentFoldRangeData(t,!0);n=r.range||r.firstRange;if(n){t=n.start.row;var i=this.getFoldAt(t,this.getLine(t).length,1);i?this.removeFold(i):this.addFold("...",n)}},this.updateFoldWidgets=function(e){var t=e.start.row,n=e.end.row-t;if(n===0)this.foldWidgets[t]=null;else if(e.action=="remove")this.foldWidgets.splice(t,n+1,null);else{var r=Array(n+1);r.unshift(t,1),this.foldWidgets.splice.apply(this.foldWidgets,r)}},this.tokenizerUpdateFoldWidgets=function(e){var t=e.data;t.first!=t.last&&this.foldWidgets.length>t.first&&this.foldWidgets.splice(t.first,this.foldWidgets.length)}}var r=e("../range").Range,i=e("./fold_line").FoldLine,s=e("./fold").Fold,o=e("../token_iterator").TokenIterator;t.Folding=u}),ace.define("ace/edit_session/bracket_match",["require","exports","module","ace/token_iterator","ace/range"],function(e,t,n){"use strict";function s(){this.findMatchingBracket=function(e,t){if(e.column==0)return null;var n=t||this.getLine(e.row).charAt(e.column-1);if(n=="")return null;var r=n.match(/([\(\[\{])|([\)\]\}])/);return r?r[1]?this.$findClosingBracket(r[1],e):this.$findOpeningBracket(r[2],e):null},this.getBracketRange=function(e){var t=this.getLine(e.row),n=!0,r,s=t.charAt(e.column-1),o=s&&s.match(/([\(\[\{])|([\)\]\}])/);o||(s=t.charAt(e.column),e={row:e.row,column:e.column+1},o=s&&s.match(/([\(\[\{])|([\)\]\}])/),n=!1);if(!o)return null;if(o[1]){var u=this.$findClosingBracket(o[1],e);if(!u)return null;r=i.fromPoints(e,u),n||(r.end.column++,r.start.column--),r.cursor=r.end}else{var u=this.$findOpeningBracket(o[2],e);if(!u)return null;r=i.fromPoints(u,e),n||(r.start.column++,r.end.column--),r.cursor=r.start}return r},this.$brackets={")":"(","(":")","]":"[","[":"]","{":"}","}":"{","<":">",">":"<"},this.$findOpeningBracket=function(e,t,n){var i=this.$brackets[e],s=1,o=new r(this,t.row,t.column),u=o.getCurrentToken();u||(u=o.stepForward());if(!u)return;n||(n=new RegExp("(\\.?"+u.type.replace(".","\\.").replace("rparen",".paren").replace(/\b(?:end)\b/,"(?:start|begin|end)")+")+"));var a=t.column-o.getCurrentTokenColumn()-2,f=u.value;for(;;){while(a>=0){var l=f.charAt(a);if(l==i){s-=1;if(s==0)return{row:o.getCurrentTokenRow(),column:a+o.getCurrentTokenColumn()}}else l==e&&(s+=1);a-=1}do u=o.stepBackward();while(u&&!n.test(u.type));if(u==null)break;f=u.value,a=f.length-1}return null},this.$findClosingBracket=function(e,t,n){var i=this.$brackets[e],s=1,o=new r(this,t.row,t.column),u=o.getCurrentToken();u||(u=o.stepForward());if(!u)return;n||(n=new RegExp("(\\.?"+u.type.replace(".","\\.").replace("lparen",".paren").replace(/\b(?:start|begin)\b/,"(?:start|begin|end)")+")+"));var a=t.column-o.getCurrentTokenColumn();for(;;){var f=u.value,l=f.length;while(a=4352&&e<=4447||e>=4515&&e<=4519||e>=4602&&e<=4607||e>=9001&&e<=9002||e>=11904&&e<=11929||e>=11931&&e<=12019||e>=12032&&e<=12245||e>=12272&&e<=12283||e>=12288&&e<=12350||e>=12353&&e<=12438||e>=12441&&e<=12543||e>=12549&&e<=12589||e>=12593&&e<=12686||e>=12688&&e<=12730||e>=12736&&e<=12771||e>=12784&&e<=12830||e>=12832&&e<=12871||e>=12880&&e<=13054||e>=13056&&e<=19903||e>=19968&&e<=42124||e>=42128&&e<=42182||e>=43360&&e<=43388||e>=44032&&e<=55203||e>=55216&&e<=55238||e>=55243&&e<=55291||e>=63744&&e<=64255||e>=65040&&e<=65049||e>=65072&&e<=65106||e>=65108&&e<=65126||e>=65128&&e<=65131||e>=65281&&e<=65376||e>=65504&&e<=65510}r.implement(this,u),this.setDocument=function(e){this.doc&&this.doc.removeListener("change",this.$onChange),this.doc=e,e.on("change",this.$onChange),this.bgTokenizer&&this.bgTokenizer.setDocument(this.getDocument()),this.resetCaches()},this.getDocument=function(){return this.doc},this.$resetRowCache=function(e){if(!e){this.$docRowCache=[],this.$screenRowCache=[];return}var t=this.$docRowCache.length,n=this.$getRowCacheIndex(this.$docRowCache,e)+1;t>n&&(this.$docRowCache.splice(n,t),this.$screenRowCache.splice(n,t))},this.$getRowCacheIndex=function(e,t){var n=0,r=e.length-1;while(n<=r){var i=n+r>>1,s=e[i];if(t>s)n=i+1;else{if(!(t=t)break}return r=n[s],r?(r.index=s,r.start=i-r.value.length,r):null},this.setUndoManager=function(e){this.$undoManager=e,this.$informUndoManager&&this.$informUndoManager.cancel();if(e){var t=this;e.addSession(this),this.$syncInformUndoManager=function(){t.$informUndoManager.cancel(),t.mergeUndoDeltas=!1},this.$informUndoManager=i.delayedCall(this.$syncInformUndoManager)}else this.$syncInformUndoManager=function(){}},this.markUndoGroup=function(){this.$syncInformUndoManager&&this.$syncInformUndoManager()},this.$defaultUndoManager={undo:function(){},redo:function(){},reset:function(){},add:function(){},addSelection:function(){},startNewGroup:function(){},addSession:function(){}},this.getUndoManager=function(){return this.$undoManager||this.$defaultUndoManager},this.getTabString=function(){return this.getUseSoftTabs()?i.stringRepeat(" ",this.getTabSize()):" "},this.setUseSoftTabs=function(e){this.setOption("useSoftTabs",e)},this.getUseSoftTabs=function(){return this.$useSoftTabs&&!this.$mode.$indentWithTabs},this.setTabSize=function(e){this.setOption("tabSize",e)},this.getTabSize=function(){return this.$tabSize},this.isTabStop=function(e){return this.$useSoftTabs&&e.column%this.$tabSize===0},this.setNavigateWithinSoftTabs=function(e){this.setOption("navigateWithinSoftTabs",e)},this.getNavigateWithinSoftTabs=function(){return this.$navigateWithinSoftTabs},this.$overwrite=!1,this.setOverwrite=function(e){this.setOption("overwrite",e)},this.getOverwrite=function(){return this.$overwrite},this.toggleOverwrite=function(){this.setOverwrite(!this.$overwrite)},this.addGutterDecoration=function(e,t){this.$decorations[e]||(this.$decorations[e]=""),this.$decorations[e]+=" "+t,this._signal("changeBreakpoint",{})},this.removeGutterDecoration=function(e,t){this.$decorations[e]=(this.$decorations[e]||"").replace(" "+t,""),this._signal("changeBreakpoint",{})},this.getBreakpoints=function(){return this.$breakpoints},this.setBreakpoints=function(e){this.$breakpoints=[];for(var t=0;t0&&(r=!!n.charAt(t-1).match(this.tokenRe)),r||(r=!!n.charAt(t).match(this.tokenRe));if(r)var i=this.tokenRe;else if(/^\s+$/.test(n.slice(t-1,t+1)))var i=/\s/;else var i=this.nonTokenRe;var s=t;if(s>0){do s--;while(s>=0&&n.charAt(s).match(i));s++}var o=t;while(oe&&(e=t.screenWidth)}),this.lineWidgetWidth=e},this.$computeWidth=function(e){if(this.$modified||e){this.$modified=!1;if(this.$useWrapMode)return this.screenWidth=this.$wrapLimit;var t=this.doc.getAllLines(),n=this.$rowLengthCache,r=0,i=0,s=this.$foldData[i],o=s?s.start.row:Infinity,u=t.length;for(var a=0;ao){a=s.end.row+1;if(a>=u)break;s=this.$foldData[i++],o=s?s.start.row:Infinity}n[a]==null&&(n[a]=this.$getStringScreenWidth(t[a])[0]),n[a]>r&&(r=n[a])}this.screenWidth=r}},this.getLine=function(e){return this.doc.getLine(e)},this.getLines=function(e,t){return this.doc.getLines(e,t)},this.getLength=function(){return this.doc.getLength()},this.getTextRange=function(e){return this.doc.getTextRange(e||this.selection.getRange())},this.insert=function(e,t){return this.doc.insert(e,t)},this.remove=function(e){return this.doc.remove(e)},this.removeFullLines=function(e,t){return this.doc.removeFullLines(e,t)},this.undoChanges=function(e,t){if(!e.length)return;this.$fromUndo=!0;for(var n=e.length-1;n!=-1;n--){var r=e[n];r.action=="insert"||r.action=="remove"?this.doc.revertDelta(r):r.folds&&this.addFolds(r.folds)}!t&&this.$undoSelect&&(e.selectionBefore?this.selection.fromJSON(e.selectionBefore):this.selection.setRange(this.$getUndoSelection(e,!0))),this.$fromUndo=!1},this.redoChanges=function(e,t){if(!e.length)return;this.$fromUndo=!0;for(var n=0;ne.end.column&&(s.start.column+=u),s.end.row==e.end.row&&s.end.column>e.end.column&&(s.end.column+=u)),o&&s.start.row>=e.end.row&&(s.start.row+=o,s.end.row+=o)}s.end=this.insert(s.start,r);if(i.length){var a=e.start,f=s.start,o=f.row-a.row,u=f.column-a.column;this.addFolds(i.map(function(e){return e=e.clone(),e.start.row==a.row&&(e.start.column+=u),e.end.row==a.row&&(e.end.column+=u),e.start.row+=o,e.end.row+=o,e}))}return s},this.indentRows=function(e,t,n){n=n.replace(/\t/g,this.getTabString());for(var r=e;r<=t;r++)this.doc.insertInLine({row:r,column:0},n)},this.outdentRows=function(e){var t=e.collapseRows(),n=new l(0,0,0,0),r=this.getTabSize();for(var i=t.start.row;i<=t.end.row;++i){var s=this.getLine(i);n.start.row=i,n.end.row=i;for(var o=0;o0){var r=this.getRowFoldEnd(t+n);if(r>this.doc.getLength()-1)return 0;var i=r-t}else{e=this.$clipRowToDocument(e),t=this.$clipRowToDocument(t);var i=t-e+1}var s=new l(e,0,t,Number.MAX_VALUE),o=this.getFoldsInRange(s).map(function(e){return e=e.clone(),e.start.row+=i,e.end.row+=i,e}),u=n==0?this.doc.getLines(e,t):this.doc.removeFullLines(e,t);return this.doc.insertFullLines(e+i,u),o.length&&this.addFolds(o),i},this.moveLinesUp=function(e,t){return this.$moveLines(e,t,-1)},this.moveLinesDown=function(e,t){return this.$moveLines(e,t,1)},this.duplicateLines=function(e,t){return this.$moveLines(e,t,0)},this.$clipRowToDocument=function(e){return Math.max(0,Math.min(e,this.doc.getLength()-1))},this.$clipColumnToRow=function(e,t){return t<0?0:Math.min(this.doc.getLine(e).length,t)},this.$clipPositionToDocument=function(e,t){t=Math.max(0,t);if(e<0)e=0,t=0;else{var n=this.doc.getLength();e>=n?(e=n-1,t=this.doc.getLine(n-1).length):t=Math.min(this.doc.getLine(e).length,t)}return{row:e,column:t}},this.$clipRangeToDocument=function(e){e.start.row<0?(e.start.row=0,e.start.column=0):e.start.column=this.$clipColumnToRow(e.start.row,e.start.column);var t=this.doc.getLength()-1;return e.end.row>t?(e.end.row=t,e.end.column=this.doc.getLine(t).length):e.end.column=this.$clipColumnToRow(e.end.row,e.end.column),e},this.$wrapLimit=80,this.$useWrapMode=!1,this.$wrapLimitRange={min:null,max:null},this.setUseWrapMode=function(e){if(e!=this.$useWrapMode){this.$useWrapMode=e,this.$modified=!0,this.$resetRowCache(0);if(e){var t=this.getLength();this.$wrapData=Array(t),this.$updateWrapData(0,t-1)}this._signal("changeWrapMode")}},this.getUseWrapMode=function(){return this.$useWrapMode},this.setWrapLimitRange=function(e,t){if(this.$wrapLimitRange.min!==e||this.$wrapLimitRange.max!==t)this.$wrapLimitRange={min:e,max:t},this.$modified=!0,this.$bidiHandler.markAsDirty(),this.$useWrapMode&&this._signal("changeWrapMode")},this.adjustWrapLimit=function(e,t){var n=this.$wrapLimitRange;n.max<0&&(n={min:t,max:t});var r=this.$constrainWrapLimit(e,n.min,n.max);return r!=this.$wrapLimit&&r>1?(this.$wrapLimit=r,this.$modified=!0,this.$useWrapMode&&(this.$updateWrapData(0,this.getLength()-1),this.$resetRowCache(0),this._signal("changeWrapLimit")),!0):!1},this.$constrainWrapLimit=function(e,t,n){return t&&(e=Math.max(t,e)),n&&(e=Math.min(n,e)),e},this.getWrapLimit=function(){return this.$wrapLimit},this.setWrapLimit=function(e){this.setWrapLimitRange(e,e)},this.getWrapLimitRange=function(){return{min:this.$wrapLimitRange.min,max:this.$wrapLimitRange.max}},this.$updateInternalDataOnChange=function(e){var t=this.$useWrapMode,n=e.action,r=e.start,i=e.end,s=r.row,o=i.row,u=o-s,a=null;this.$updating=!0;if(u!=0)if(n==="remove"){this[t?"$wrapData":"$rowLengthCache"].splice(s,u);var f=this.$foldData;a=this.getFoldsInRange(e),this.removeFolds(a);var l=this.getFoldLine(i.row),c=0;if(l){l.addRemoveChars(i.row,i.column,r.column-i.column),l.shiftRow(-u);var h=this.getFoldLine(s);h&&h!==l&&(h.merge(l),l=h),c=f.indexOf(l)+1}for(c;c=i.row&&l.shiftRow(-u)}o=s}else{var p=Array(u);p.unshift(s,0);var d=t?this.$wrapData:this.$rowLengthCache;d.splice.apply(d,p);var f=this.$foldData,l=this.getFoldLine(s),c=0;if(l){var v=l.range.compareInside(r.row,r.column);v==0?(l=l.split(r.row,r.column),l&&(l.shiftRow(u),l.addRemoveChars(o,0,i.column-r.column))):v==-1&&(l.addRemoveChars(s,0,i.column-r.column),l.shiftRow(u)),c=f.indexOf(l)+1}for(c;c=s&&l.shiftRow(u)}}else{u=Math.abs(e.start.column-e.end.column),n==="remove"&&(a=this.getFoldsInRange(e),this.removeFolds(a),u=-u);var l=this.getFoldLine(s);l&&l.addRemoveChars(s,r.column,u)}return t&&this.$wrapData.length!=this.doc.getLength()&&console.error("doc.getLength() and $wrapData.length have to be the same!"),this.$updating=!1,t?this.$updateWrapData(s,o):this.$updateRowLengthCache(s,o),a},this.$updateRowLengthCache=function(e,t,n){this.$rowLengthCache[e]=null,this.$rowLengthCache[t]=null},this.$updateWrapData=function(e,t){var r=this.doc.getAllLines(),i=this.getTabSize(),o=this.$wrapData,u=this.$wrapLimit,a,f,l=e;t=Math.min(t,r.length-1);while(l<=t)f=this.getFoldLine(l,f),f?(a=[],f.walk(function(e,t,i,o){var u;if(e!=null){u=this.$getDisplayTokens(e,a.length),u[0]=n;for(var f=1;fr-b){var w=f+r-b;if(e[w-1]>=c&&e[w]>=c){y(w);continue}if(e[w]==n||e[w]==s){for(w;w!=f-1;w--)if(e[w]==n)break;if(w>f){y(w);continue}w=f+r;for(w;w>2)),f-1);while(w>E&&e[w]E&&e[w]E&&e[w]==a)w--}else while(w>E&&e[w]E){y(++w);continue}w=f+r,e[w]==t&&w--,y(w-b)}return o},this.$getDisplayTokens=function(n,r){var i=[],s;r=r||0;for(var o=0;o39&&u<48||u>57&&u<64?i.push(a):u>=4352&&m(u)?i.push(e,t):i.push(e)}return i},this.$getStringScreenWidth=function(e,t,n){if(t==0)return[0,0];t==null&&(t=Infinity),n=n||0;var r,i;for(i=0;i=4352&&m(r)?n+=2:n+=1;if(n>t)break}return[n,i]},this.lineWidgets=null,this.getRowLength=function(e){if(this.lineWidgets)var t=this.lineWidgets[e]&&this.lineWidgets[e].rowCount||0;else t=0;return!this.$useWrapMode||!this.$wrapData[e]?1+t:this.$wrapData[e].length+1+t},this.getRowLineCount=function(e){return!this.$useWrapMode||!this.$wrapData[e]?1:this.$wrapData[e].length+1},this.getRowWrapIndent=function(e){if(this.$useWrapMode){var t=this.screenToDocumentPosition(e,Number.MAX_VALUE),n=this.$wrapData[t.row];return n.length&&n[0]=0)var u=f[l],i=this.$docRowCache[l],h=e>f[c-1];else var h=!c;var p=this.getLength()-1,d=this.getNextFoldLine(i),v=d?d.start.row:Infinity;while(u<=e){a=this.getRowLength(i);if(u+a>e||i>=p)break;u+=a,i++,i>v&&(i=d.end.row+1,d=this.getNextFoldLine(i,d),v=d?d.start.row:Infinity),h&&(this.$docRowCache.push(i),this.$screenRowCache.push(u))}if(d&&d.start.row<=i)r=this.getFoldDisplayLine(d),i=d.start.row;else{if(u+a<=e||i>p)return{row:p,column:this.getLine(p).length};r=this.getLine(i),d=null}var m=0,g=Math.floor(e-u);if(this.$useWrapMode){var y=this.$wrapData[i];y&&(o=y[g],g>0&&y.length&&(m=y.indent,s=y[g-1]||y[y.length-1],r=r.substring(s)))}return n!==undefined&&this.$bidiHandler.isBidiRow(u+g,i,g)&&(t=this.$bidiHandler.offsetToCol(n)),s+=this.$getStringScreenWidth(r,t-m)[1],this.$useWrapMode&&s>=o&&(s=o-1),d?d.idxToPosition(s):{row:i,column:s}},this.documentToScreenPosition=function(e,t){if(typeof t=="undefined")var n=this.$clipPositionToDocument(e.row,e.column);else n=this.$clipPositionToDocument(e,t);e=n.row,t=n.column;var r=0,i=null,s=null;s=this.getFoldAt(e,t,1),s&&(e=s.start.row,t=s.start.column);var o,u=0,a=this.$docRowCache,f=this.$getRowCacheIndex(a,e),l=a.length;if(l&&f>=0)var u=a[f],r=this.$screenRowCache[f],c=e>a[l-1];else var c=!l;var h=this.getNextFoldLine(u),p=h?h.start.row:Infinity;while(u=p){o=h.end.row+1;if(o>e)break;h=this.getNextFoldLine(o,h),p=h?h.start.row:Infinity}else o=u+1;r+=this.getRowLength(u),u=o,c&&(this.$docRowCache.push(u),this.$screenRowCache.push(r))}var d="";h&&u>=p?(d=this.getFoldDisplayLine(h,e,t),i=h.start.row):(d=this.getLine(e).substring(0,t),i=e);var v=0;if(this.$useWrapMode){var m=this.$wrapData[i];if(m){var g=0;while(d.length>=m[g])r++,g++;d=d.substring(m[g-1]||0,d.length),v=g>0?m.indent:0}}return{row:r,column:v+this.$getStringScreenWidth(d)[0]}},this.documentToScreenColumn=function(e,t){return this.documentToScreenPosition(e,t).column},this.documentToScreenRow=function(e,t){return this.documentToScreenPosition(e,t).row},this.getScreenLength=function(){var e=0,t=null;if(!this.$useWrapMode){e=this.getLength();var n=this.$foldData;for(var r=0;ro&&(s=t.end.row+1,t=this.$foldData[r++],o=t?t.start.row:Infinity)}}return this.lineWidgets&&(e+=this.$getWidgetScreenLength()),e},this.$setFontMetrics=function(e){if(!this.$enableVarChar)return;this.$getStringScreenWidth=function(t,n,r){if(n===0)return[0,0];n||(n=Infinity),r=r||0;var i,s;for(s=0;sn)break}return[r,s]}},this.destroy=function(){this.bgTokenizer&&(this.bgTokenizer.setDocument(null),this.bgTokenizer=null),this.$stopWorker()},this.isFullWidth=m}.call(d.prototype),e("./edit_session/folding").Folding.call(d.prototype),e("./edit_session/bracket_match").BracketMatch.call(d.prototype),o.defineOptions(d.prototype,"session",{wrap:{set:function(e){!e||e=="off"?e=!1:e=="free"?e=!0:e=="printMargin"?e=-1:typeof e=="string"&&(e=parseInt(e,10)||!1);if(this.$wrap==e)return;this.$wrap=e;if(!e)this.setUseWrapMode(!1);else{var t=typeof e=="number"?e:null;this.setWrapLimitRange(t,t),this.setUseWrapMode(!0)}},get:function(){return this.getUseWrapMode()?this.$wrap==-1?"printMargin":this.getWrapLimitRange().min?this.$wrap:"free":"off"},handlesSet:!0},wrapMethod:{set:function(e){e=e=="auto"?this.$mode.type!="text":e!="text",e!=this.$wrapAsCode&&(this.$wrapAsCode=e,this.$useWrapMode&&(this.$useWrapMode=!1,this.setUseWrapMode(!0)))},initialValue:"auto"},indentedSoftWrap:{set:function(){this.$useWrapMode&&(this.$useWrapMode=!1,this.setUseWrapMode(!0))},initialValue:!0},firstLineNumber:{set:function(){this._signal("changeBreakpoint")},initialValue:1},useWorker:{set:function(e){this.$useWorker=e,this.$stopWorker(),e&&this.$startWorker()},initialValue:!0},useSoftTabs:{initialValue:!0},tabSize:{set:function(e){e=parseInt(e);if(isNaN(e)||this.$tabSize===e)return;this.$modified=!0,this.$rowLengthCache=[],this.$tabSize=e,this._signal("changeTabSize")},initialValue:4,handlesSet:!0},navigateWithinSoftTabs:{initialValue:!1},foldStyle:{set:function(e){this.setFoldStyle(e)},handlesSet:!0},overwrite:{set:function(e){this._signal("changeOverwrite")},initialValue:!1},newLineMode:{set:function(e){this.doc.setNewLineMode(e)},get:function(){return this.doc.getNewLineMode()},handlesSet:!0},mode:{set:function(e){this.setMode(e)},get:function(){return this.$modeId},handlesSet:!0}}),t.EditSession=d}),ace.define("ace/search",["require","exports","module","ace/lib/lang","ace/lib/oop","ace/range"],function(e,t,n){"use strict";function u(e,t){function n(e){return/\w/.test(e)||t.regExp?"\\b":""}return n(e[0])+e+n(e[e.length-1])}var r=e("./lib/lang"),i=e("./lib/oop"),s=e("./range").Range,o=function(){this.$options={}};(function(){this.set=function(e){return i.mixin(this.$options,e),this},this.getOptions=function(){return r.copyObject(this.$options)},this.setOptions=function(e){this.$options=e},this.find=function(e){var t=this.$options,n=this.$matchIterator(e,t);if(!n)return!1;var r=null;return n.forEach(function(e,n,i,o){return r=new s(e,n,i,o),n==o&&t.start&&t.start.start&&t.skipCurrent!=0&&r.isEqual(t.start)?(r=null,!1):!0}),r},this.findAll=function(e){var t=this.$options;if(!t.needle)return[];this.$assembleRegExp(t);var n=t.range,i=n?e.getLines(n.start.row,n.end.row):e.doc.getAllLines(),o=[],u=t.re;if(t.$isMultiLine){var a=u.length,f=i.length-a,l;e:for(var c=u.offset||0;c<=f;c++){for(var h=0;hv)continue;o.push(l=new s(c,v,c+a-1,m)),a>2&&(c=c+a-2)}}else for(var g=0;gE&&o[h].end.row==n.end.row)h--;o=o.slice(g,h+1);for(g=0,h=o.length;g=u;n--)if(c(n,Number.MAX_VALUE,e))return;if(t.wrap==0)return;for(n=a,u=o.row;n>=u;n--)if(c(n,Number.MAX_VALUE,e))return};else var f=function(e){var n=o.row;if(c(n,o.column,e))return;for(n+=1;n<=a;n++)if(c(n,0,e))return;if(t.wrap==0)return;for(n=u,a=o.row;n<=a;n++)if(c(n,0,e))return};if(t.$isMultiLine)var l=n.length,c=function(t,i,s){var o=r?t-l+1:t;if(o<0)return;var u=e.getLine(o),a=u.search(n[0]);if(!r&&ai)return;if(s(o,a,o+l-1,c))return!0};else if(r)var c=function(t,r,i){var s=e.getLine(t),o=[],u,a=0;n.lastIndex=0;while(u=n.exec(s)){var f=u[0].length;a=u.index;if(!f){if(a>=s.length)break;n.lastIndex=a+=1}if(u.index+f>r)break;o.push(u.index,f)}for(var l=o.length-1;l>=0;l-=2){var c=o[l-1],f=o[l];if(i(t,c,t,c+f))return!0}};else var c=function(t,r,i){var s=e.getLine(t),o,u;n.lastIndex=r;while(u=n.exec(s)){var a=u[0].length;o=u.index;if(i(t,o,t,o+a))return!0;if(!a){n.lastIndex=o+=1;if(o>=s.length)return!1}}};return{forEach:f}}}).call(o.prototype),t.Search=o}),ace.define("ace/keyboard/hash_handler",["require","exports","module","ace/lib/keys","ace/lib/useragent"],function(e,t,n){"use strict";function o(e,t){this.platform=t||(i.isMac?"mac":"win"),this.commands={},this.commandKeyBinding={},this.addCommands(e),this.$singleCommand=!0}function u(e,t){o.call(this,e,t),this.$singleCommand=!1}var r=e("../lib/keys"),i=e("../lib/useragent"),s=r.KEY_MODS;u.prototype=o.prototype,function(){function e(e){return typeof e=="object"&&e.bindKey&&e.bindKey.position||(e.isDefault?-100:0)}this.addCommand=function(e){this.commands[e.name]&&this.removeCommand(e),this.commands[e.name]=e,e.bindKey&&this._buildKeyHash(e)},this.removeCommand=function(e,t){var n=e&&(typeof e=="string"?e:e.name);e=this.commands[n],t||delete this.commands[n];var r=this.commandKeyBinding;for(var i in r){var s=r[i];if(s==e)delete r[i];else if(Array.isArray(s)){var o=s.indexOf(e);o!=-1&&(s.splice(o,1),s.length==1&&(r[i]=s[0]))}}},this.bindKey=function(e,t,n){typeof e=="object"&&e&&(n==undefined&&(n=e.position),e=e[this.platform]);if(!e)return;if(typeof t=="function")return this.addCommand({exec:t,bindKey:e,name:t.name||e});e.split("|").forEach(function(e){var r="";if(e.indexOf(" ")!=-1){var i=e.split(/\s+/);e=i.pop(),i.forEach(function(e){var t=this.parseKeys(e),n=s[t.hashId]+t.key;r+=(r?" ":"")+n,this._addCommandToBinding(r,"chainKeys")},this),r+=" "}var o=this.parseKeys(e),u=s[o.hashId]+o.key;this._addCommandToBinding(r+u,t,n)},this)},this._addCommandToBinding=function(t,n,r){var i=this.commandKeyBinding,s;if(!n)delete i[t];else if(!i[t]||this.$singleCommand)i[t]=n;else{Array.isArray(i[t])?(s=i[t].indexOf(n))!=-1&&i[t].splice(s,1):i[t]=[i[t]],typeof r!="number"&&(r=e(n));var o=i[t];for(s=0;sr)break}o.splice(s,0,n)}},this.addCommands=function(e){e&&Object.keys(e).forEach(function(t){var n=e[t];if(!n)return;if(typeof n=="string")return this.bindKey(n,t);typeof n=="function"&&(n={exec:n});if(typeof n!="object")return;n.name||(n.name=t),this.addCommand(n)},this)},this.removeCommands=function(e){Object.keys(e).forEach(function(t){this.removeCommand(e[t])},this)},this.bindKeys=function(e){Object.keys(e).forEach(function(t){this.bindKey(t,e[t])},this)},this._buildKeyHash=function(e){this.bindKey(e.bindKey,e)},this.parseKeys=function(e){var t=e.toLowerCase().split(/[\-\+]([\-\+])?/).filter(function(e){return e}),n=t.pop(),i=r[n];if(r.FUNCTION_KEYS[i])n=r.FUNCTION_KEYS[i].toLowerCase();else{if(!t.length)return{key:n,hashId:-1};if(t.length==1&&t[0]=="shift")return{key:n.toUpperCase(),hashId:-1}}var s=0;for(var o=t.length;o--;){var u=r.KEY_MODS[t[o]];if(u==null)return typeof console!="undefined"&&console.error("invalid modifier "+t[o]+" in "+e),!1;s|=u}return{key:n,hashId:s}},this.findKeyCommand=function(t,n){var r=s[t]+n;return this.commandKeyBinding[r]},this.handleKeyboard=function(e,t,n,r){if(r<0)return;var i=s[t]+n,o=this.commandKeyBinding[i];e.$keyChain&&(e.$keyChain+=" "+i,o=this.commandKeyBinding[e.$keyChain]||o);if(o)if(o=="chainKeys"||o[o.length-1]=="chainKeys")return e.$keyChain=e.$keyChain||i,{command:"null"};if(e.$keyChain)if(!!t&&t!=4||n.length!=1){if(t==-1||r>0)e.$keyChain=""}else e.$keyChain=e.$keyChain.slice(0,-i.length-1);return{command:o}},this.getStatusText=function(e,t){return t.$keyChain||""}}.call(o.prototype),t.HashHandler=o,t.MultiHashHandler=u}),ace.define("ace/commands/command_manager",["require","exports","module","ace/lib/oop","ace/keyboard/hash_handler","ace/lib/event_emitter"],function(e,t,n){"use strict";var r=e("../lib/oop"),i=e("../keyboard/hash_handler").MultiHashHandler,s=e("../lib/event_emitter").EventEmitter,o=function(e,t){i.call(this,t,e),this.byName=this.commands,this.setDefaultHandler("exec",function(e){return e.command.exec(e.editor,e.args||{})})};r.inherits(o,i),function(){r.implement(this,s),this.exec=function(e,t,n){if(Array.isArray(e)){for(var r=e.length;r--;)if(this.exec(e[r],t,n))return!0;return!1}typeof e=="string"&&(e=this.commands[e]);if(!e)return!1;if(t&&t.$readOnly&&!e.readOnly)return!1;if(this.$checkCommandState!=0&&e.isAvailable&&!e.isAvailable(t))return!1;var i={editor:t,command:e,args:n};return i.returnValue=this._emit("exec",i),this._signal("afterExec",i),i.returnValue===!1?!1:!0},this.toggleRecording=function(e){if(this.$inReplay)return;return e&&e._emit("changeStatus"),this.recording?(this.macro.pop(),this.removeEventListener("exec",this.$addCommandToMacro),this.macro.length||(this.macro=this.oldMacro),this.recording=!1):(this.$addCommandToMacro||(this.$addCommandToMacro=function(e){this.macro.push([e.command,e.args])}.bind(this)),this.oldMacro=this.macro,this.macro=[],this.on("exec",this.$addCommandToMacro),this.recording=!0)},this.replay=function(e){if(this.$inReplay||!this.macro)return;if(this.recording)return this.toggleRecording(e);try{this.$inReplay=!0,this.macro.forEach(function(t){typeof t=="string"?this.exec(t,e):this.exec(t[0],e,t[1])},this)}finally{this.$inReplay=!1}},this.trimMacro=function(e){return e.map(function(e){return typeof e[0]!="string"&&(e[0]=e[0].name),e[1]||(e=e[0]),e})}}.call(o.prototype),t.CommandManager=o}),ace.define("ace/commands/default_commands",["require","exports","module","ace/lib/lang","ace/config","ace/range"],function(e,t,n){"use strict";function o(e,t){return{win:e,mac:t}}var r=e("../lib/lang"),i=e("../config"),s=e("../range").Range;t.commands=[{name:"showSettingsMenu",bindKey:o("Ctrl-,","Command-,"),exec:function(e){i.loadModule("ace/ext/settings_menu",function(t){t.init(e),e.showSettingsMenu()})},readOnly:!0},{name:"goToNextError",bindKey:o("Alt-E","F4"),exec:function(e){i.loadModule("./ext/error_marker",function(t){t.showErrorMarker(e,1)})},scrollIntoView:"animate",readOnly:!0},{name:"goToPreviousError",bindKey:o("Alt-Shift-E","Shift-F4"),exec:function(e){i.loadModule("./ext/error_marker",function(t){t.showErrorMarker(e,-1)})},scrollIntoView:"animate",readOnly:!0},{name:"selectall",description:"Select all",bindKey:o("Ctrl-A","Command-A"),exec:function(e){e.selectAll()},readOnly:!0},{name:"centerselection",description:"Center selection",bindKey:o(null,"Ctrl-L"),exec:function(e){e.centerSelection()},readOnly:!0},{name:"gotoline",description:"Go to line...",bindKey:o("Ctrl-L","Command-L"),exec:function(e,t){typeof t=="number"&&!isNaN(t)&&e.gotoLine(t),e.prompt({$type:"gotoLine"})},readOnly:!0},{name:"fold",bindKey:o("Alt-L|Ctrl-F1","Command-Alt-L|Command-F1"),exec:function(e){e.session.toggleFold(!1)},multiSelectAction:"forEach",scrollIntoView:"center",readOnly:!0},{name:"unfold",bindKey:o("Alt-Shift-L|Ctrl-Shift-F1","Command-Alt-Shift-L|Command-Shift-F1"),exec:function(e){e.session.toggleFold(!0)},multiSelectAction:"forEach",scrollIntoView:"center",readOnly:!0},{name:"toggleFoldWidget",bindKey:o("F2","F2"),exec:function(e){e.session.toggleFoldWidget()},multiSelectAction:"forEach",scrollIntoView:"center",readOnly:!0},{name:"toggleParentFoldWidget",bindKey:o("Alt-F2","Alt-F2"),exec:function(e){e.session.toggleFoldWidget(!0)},multiSelectAction:"forEach",scrollIntoView:"center",readOnly:!0},{name:"foldall",description:"Fold all",bindKey:o(null,"Ctrl-Command-Option-0"),exec:function(e){e.session.foldAll()},scrollIntoView:"center",readOnly:!0},{name:"foldOther",description:"Fold other",bindKey:o("Alt-0","Command-Option-0"),exec:function(e){e.session.foldAll(),e.session.unfold(e.selection.getAllRanges())},scrollIntoView:"center",readOnly:!0},{name:"unfoldall",description:"Unfold all",bindKey:o("Alt-Shift-0","Command-Option-Shift-0"),exec:function(e){e.session.unfold()},scrollIntoView:"center",readOnly:!0},{name:"findnext",description:"Find next",bindKey:o("Ctrl-K","Command-G"),exec:function(e){e.findNext()},multiSelectAction:"forEach",scrollIntoView:"center",readOnly:!0},{name:"findprevious",description:"Find previous",bindKey:o("Ctrl-Shift-K","Command-Shift-G"),exec:function(e){e.findPrevious()},multiSelectAction:"forEach",scrollIntoView:"center",readOnly:!0},{name:"selectOrFindNext",description:"Select or find next",bindKey:o("Alt-K","Ctrl-G"),exec:function(e){e.selection.isEmpty()?e.selection.selectWord():e.findNext()},readOnly:!0},{name:"selectOrFindPrevious",description:"Select or find previous",bindKey:o("Alt-Shift-K","Ctrl-Shift-G"),exec:function(e){e.selection.isEmpty()?e.selection.selectWord():e.findPrevious()},readOnly:!0},{name:"find",description:"Find",bindKey:o("Ctrl-F","Command-F"),exec:function(e){i.loadModule("ace/ext/searchbox",function(t){t.Search(e)})},readOnly:!0},{name:"overwrite",description:"Overwrite",bindKey:"Insert",exec:function(e){e.toggleOverwrite()},readOnly:!0},{name:"selecttostart",description:"Select to start",bindKey:o("Ctrl-Shift-Home","Command-Shift-Home|Command-Shift-Up"),exec:function(e){e.getSelection().selectFileStart()},multiSelectAction:"forEach",readOnly:!0,scrollIntoView:"animate",aceCommandGroup:"fileJump"},{name:"gotostart",description:"Go to start",bindKey:o("Ctrl-Home","Command-Home|Command-Up"),exec:function(e){e.navigateFileStart()},multiSelectAction:"forEach",readOnly:!0,scrollIntoView:"animate",aceCommandGroup:"fileJump"},{name:"selectup",description:"Select up",bindKey:o("Shift-Up","Shift-Up|Ctrl-Shift-P"),exec:function(e){e.getSelection().selectUp()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"golineup",description:"Go line up",bindKey:o("Up","Up|Ctrl-P"),exec:function(e,t){e.navigateUp(t.times)},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selecttoend",description:"Select to end",bindKey:o("Ctrl-Shift-End","Command-Shift-End|Command-Shift-Down"),exec:function(e){e.getSelection().selectFileEnd()},multiSelectAction:"forEach",readOnly:!0,scrollIntoView:"animate",aceCommandGroup:"fileJump"},{name:"gotoend",description:"Go to end",bindKey:o("Ctrl-End","Command-End|Command-Down"),exec:function(e){e.navigateFileEnd()},multiSelectAction:"forEach",readOnly:!0,scrollIntoView:"animate",aceCommandGroup:"fileJump"},{name:"selectdown",description:"Select down",bindKey:o("Shift-Down","Shift-Down|Ctrl-Shift-N"),exec:function(e){e.getSelection().selectDown()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"golinedown",description:"Go line down",bindKey:o("Down","Down|Ctrl-N"),exec:function(e,t){e.navigateDown(t.times)},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selectwordleft",description:"Select word left",bindKey:o("Ctrl-Shift-Left","Option-Shift-Left"),exec:function(e){e.getSelection().selectWordLeft()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"gotowordleft",description:"Go to word left",bindKey:o("Ctrl-Left","Option-Left"),exec:function(e){e.navigateWordLeft()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selecttolinestart",description:"Select to line start",bindKey:o("Alt-Shift-Left","Command-Shift-Left|Ctrl-Shift-A"),exec:function(e){e.getSelection().selectLineStart()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"gotolinestart",description:"Go to line start",bindKey:o("Alt-Left|Home","Command-Left|Home|Ctrl-A"),exec:function(e){e.navigateLineStart()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selectleft",description:"Select left",bindKey:o("Shift-Left","Shift-Left|Ctrl-Shift-B"),exec:function(e){e.getSelection().selectLeft()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"gotoleft",description:"Go to left",bindKey:o("Left","Left|Ctrl-B"),exec:function(e,t){e.navigateLeft(t.times)},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selectwordright",description:"Select word right",bindKey:o("Ctrl-Shift-Right","Option-Shift-Right"),exec:function(e){e.getSelection().selectWordRight()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"gotowordright",description:"Go to word right",bindKey:o("Ctrl-Right","Option-Right"),exec:function(e){e.navigateWordRight()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selecttolineend",description:"Select to line end",bindKey:o("Alt-Shift-Right","Command-Shift-Right|Shift-End|Ctrl-Shift-E"),exec:function(e){e.getSelection().selectLineEnd()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"gotolineend",description:"Go to line end",bindKey:o("Alt-Right|End","Command-Right|End|Ctrl-E"),exec:function(e){e.navigateLineEnd()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selectright",description:"Select right",bindKey:o("Shift-Right","Shift-Right"),exec:function(e){e.getSelection().selectRight()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"gotoright",description:"Go to right",bindKey:o("Right","Right|Ctrl-F"),exec:function(e,t){e.navigateRight(t.times)},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selectpagedown",description:"Select page down",bindKey:"Shift-PageDown",exec:function(e){e.selectPageDown()},readOnly:!0},{name:"pagedown",description:"Page down",bindKey:o(null,"Option-PageDown"),exec:function(e){e.scrollPageDown()},readOnly:!0},{name:"gotopagedown",description:"Go to page down",bindKey:o("PageDown","PageDown|Ctrl-V"),exec:function(e){e.gotoPageDown()},readOnly:!0},{name:"selectpageup",description:"Select page up",bindKey:"Shift-PageUp",exec:function(e){e.selectPageUp()},readOnly:!0},{name:"pageup",description:"Page up",bindKey:o(null,"Option-PageUp"),exec:function(e){e.scrollPageUp()},readOnly:!0},{name:"gotopageup",description:"Go to page up",bindKey:"PageUp",exec:function(e){e.gotoPageUp()},readOnly:!0},{name:"scrollup",description:"Scroll up",bindKey:o("Ctrl-Up",null),exec:function(e){e.renderer.scrollBy(0,-2*e.renderer.layerConfig.lineHeight)},readOnly:!0},{name:"scrolldown",description:"Scroll down",bindKey:o("Ctrl-Down",null),exec:function(e){e.renderer.scrollBy(0,2*e.renderer.layerConfig.lineHeight)},readOnly:!0},{name:"selectlinestart",description:"Select line start",bindKey:"Shift-Home",exec:function(e){e.getSelection().selectLineStart()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"selectlineend",description:"Select line end",bindKey:"Shift-End",exec:function(e){e.getSelection().selectLineEnd()},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"togglerecording",description:"Toggle recording",bindKey:o("Ctrl-Alt-E","Command-Option-E"),exec:function(e){e.commands.toggleRecording(e)},readOnly:!0},{name:"replaymacro",description:"Replay macro",bindKey:o("Ctrl-Shift-E","Command-Shift-E"),exec:function(e){e.commands.replay(e)},readOnly:!0},{name:"jumptomatching",description:"Jump to matching",bindKey:o("Ctrl-P","Ctrl-P"),exec:function(e){e.jumpToMatching()},multiSelectAction:"forEach",scrollIntoView:"animate",readOnly:!0},{name:"selecttomatching",description:"Select to matching",bindKey:o("Ctrl-Shift-P","Ctrl-Shift-P"),exec:function(e){e.jumpToMatching(!0)},multiSelectAction:"forEach",scrollIntoView:"animate",readOnly:!0},{name:"expandToMatching",description:"Expand to matching",bindKey:o("Ctrl-Shift-M","Ctrl-Shift-M"),exec:function(e){e.jumpToMatching(!0,!0)},multiSelectAction:"forEach",scrollIntoView:"animate",readOnly:!0},{name:"passKeysToBrowser",description:"Pass keys to browser",bindKey:o(null,null),exec:function(){},passEvent:!0,readOnly:!0},{name:"copy",description:"Copy",exec:function(e){},readOnly:!0},{name:"cut",description:"Cut",exec:function(e){var t=e.$copyWithEmptySelection&&e.selection.isEmpty(),n=t?e.selection.getLineRange():e.selection.getRange();e._emit("cut",n),n.isEmpty()||e.session.remove(n),e.clearSelection()},scrollIntoView:"cursor",multiSelectAction:"forEach"},{name:"paste",description:"Paste",exec:function(e,t){e.$handlePaste(t)},scrollIntoView:"cursor"},{name:"removeline",description:"Remove line",bindKey:o("Ctrl-D","Command-D"),exec:function(e){e.removeLines()},scrollIntoView:"cursor",multiSelectAction:"forEachLine"},{name:"duplicateSelection",description:"Duplicate selection",bindKey:o("Ctrl-Shift-D","Command-Shift-D"),exec:function(e){e.duplicateSelection()},scrollIntoView:"cursor",multiSelectAction:"forEach"},{name:"sortlines",description:"Sort lines",bindKey:o("Ctrl-Alt-S","Command-Alt-S"),exec:function(e){e.sortLines()},scrollIntoView:"selection",multiSelectAction:"forEachLine"},{name:"togglecomment",description:"Toggle comment",bindKey:o("Ctrl-/","Command-/"),exec:function(e){e.toggleCommentLines()},multiSelectAction:"forEachLine",scrollIntoView:"selectionPart"},{name:"toggleBlockComment",description:"Toggle block comment",bindKey:o("Ctrl-Shift-/","Command-Shift-/"),exec:function(e){e.toggleBlockComment()},multiSelectAction:"forEach",scrollIntoView:"selectionPart"},{name:"modifyNumberUp",description:"Modify number up",bindKey:o("Ctrl-Shift-Up","Alt-Shift-Up"),exec:function(e){e.modifyNumber(1)},scrollIntoView:"cursor",multiSelectAction:"forEach"},{name:"modifyNumberDown",description:"Modify number down",bindKey:o("Ctrl-Shift-Down","Alt-Shift-Down"),exec:function(e){e.modifyNumber(-1)},scrollIntoView:"cursor",multiSelectAction:"forEach"},{name:"replace",description:"Replace",bindKey:o("Ctrl-H","Command-Option-F"),exec:function(e){i.loadModule("ace/ext/searchbox",function(t){t.Search(e,!0)})}},{name:"undo",description:"Undo",bindKey:o("Ctrl-Z","Command-Z"),exec:function(e){e.undo()}},{name:"redo",description:"Redo",bindKey:o("Ctrl-Shift-Z|Ctrl-Y","Command-Shift-Z|Command-Y"),exec:function(e){e.redo()}},{name:"copylinesup",description:"Copy lines up",bindKey:o("Alt-Shift-Up","Command-Option-Up"),exec:function(e){e.copyLinesUp()},scrollIntoView:"cursor"},{name:"movelinesup",description:"Move lines up",bindKey:o("Alt-Up","Option-Up"),exec:function(e){e.moveLinesUp()},scrollIntoView:"cursor"},{name:"copylinesdown",description:"Copy lines down",bindKey:o("Alt-Shift-Down","Command-Option-Down"),exec:function(e){e.copyLinesDown()},scrollIntoView:"cursor"},{name:"movelinesdown",description:"Move lines down",bindKey:o("Alt-Down","Option-Down"),exec:function(e){e.moveLinesDown()},scrollIntoView:"cursor"},{name:"del",description:"Delete",bindKey:o("Delete","Delete|Ctrl-D|Shift-Delete"),exec:function(e){e.remove("right")},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"backspace",description:"Backspace",bindKey:o("Shift-Backspace|Backspace","Ctrl-Backspace|Shift-Backspace|Backspace|Ctrl-H"),exec:function(e){e.remove("left")},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"cut_or_delete",description:"Cut or delete",bindKey:o("Shift-Delete",null),exec:function(e){if(!e.selection.isEmpty())return!1;e.remove("left")},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"removetolinestart",description:"Remove to line start",bindKey:o("Alt-Backspace","Command-Backspace"),exec:function(e){e.removeToLineStart()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"removetolineend",description:"Remove to line end",bindKey:o("Alt-Delete","Ctrl-K|Command-Delete"),exec:function(e){e.removeToLineEnd()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"removetolinestarthard",description:"Remove to line start hard",bindKey:o("Ctrl-Shift-Backspace",null),exec:function(e){var t=e.selection.getRange();t.start.column=0,e.session.remove(t)},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"removetolineendhard",description:"Remove to line end hard",bindKey:o("Ctrl-Shift-Delete",null),exec:function(e){var t=e.selection.getRange();t.end.column=Number.MAX_VALUE,e.session.remove(t)},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"removewordleft",description:"Remove word left",bindKey:o("Ctrl-Backspace","Alt-Backspace|Ctrl-Alt-Backspace"),exec:function(e){e.removeWordLeft()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"removewordright",description:"Remove word right",bindKey:o("Ctrl-Delete","Alt-Delete"),exec:function(e){e.removeWordRight()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"outdent",description:"Outdent",bindKey:o("Shift-Tab","Shift-Tab"),exec:function(e){e.blockOutdent()},multiSelectAction:"forEach",scrollIntoView:"selectionPart"},{name:"indent",description:"Indent",bindKey:o("Tab","Tab"),exec:function(e){e.indent()},multiSelectAction:"forEach",scrollIntoView:"selectionPart"},{name:"blockoutdent",description:"Block outdent",bindKey:o("Ctrl-[","Ctrl-["),exec:function(e){e.blockOutdent()},multiSelectAction:"forEachLine",scrollIntoView:"selectionPart"},{name:"blockindent",description:"Block indent",bindKey:o("Ctrl-]","Ctrl-]"),exec:function(e){e.blockIndent()},multiSelectAction:"forEachLine",scrollIntoView:"selectionPart"},{name:"insertstring",description:"Insert string",exec:function(e,t){e.insert(t)},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"inserttext",description:"Insert text",exec:function(e,t){e.insert(r.stringRepeat(t.text||"",t.times||1))},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"splitline",description:"Split line",bindKey:o(null,"Ctrl-O"),exec:function(e){e.splitLine()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"transposeletters",description:"Transpose letters",bindKey:o("Alt-Shift-X","Ctrl-T"),exec:function(e){e.transposeLetters()},multiSelectAction:function(e){e.transposeSelections(1)},scrollIntoView:"cursor"},{name:"touppercase",description:"To uppercase",bindKey:o("Ctrl-U","Ctrl-U"),exec:function(e){e.toUpperCase()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"tolowercase",description:"To lowercase",bindKey:o("Ctrl-Shift-U","Ctrl-Shift-U"),exec:function(e){e.toLowerCase()},multiSelectAction:"forEach",scrollIntoView:"cursor"},{name:"expandtoline",description:"Expand to line",bindKey:o("Ctrl-Shift-L","Command-Shift-L"),exec:function(e){var t=e.selection.getRange();t.start.column=t.end.column=0,t.end.row++,e.selection.setRange(t,!1)},multiSelectAction:"forEach",scrollIntoView:"cursor",readOnly:!0},{name:"joinlines",description:"Join lines",bindKey:o(null,null),exec:function(e){var t=e.selection.isBackwards(),n=t?e.selection.getSelectionLead():e.selection.getSelectionAnchor(),i=t?e.selection.getSelectionAnchor():e.selection.getSelectionLead(),o=e.session.doc.getLine(n.row).length,u=e.session.doc.getTextRange(e.selection.getRange()),a=u.replace(/\n\s*/," ").length,f=e.session.doc.getLine(n.row);for(var l=n.row+1;l<=i.row+1;l++){var c=r.stringTrimLeft(r.stringTrimRight(e.session.doc.getLine(l)));c.length!==0&&(c=" "+c),f+=c}i.row+10?(e.selection.moveCursorTo(n.row,n.column),e.selection.selectTo(n.row,n.column+a)):(o=e.session.doc.getLine(n.row).length>o?o+1:o,e.selection.moveCursorTo(n.row,o))},multiSelectAction:"forEach",readOnly:!0},{name:"invertSelection",description:"Invert selection",bindKey:o(null,null),exec:function(e){var t=e.session.doc.getLength()-1,n=e.session.doc.getLine(t).length,r=e.selection.rangeList.ranges,i=[];r.length<1&&(r=[e.selection.getRange()]);for(var o=0;o=i.lastRow||r.end.row<=i.firstRow)&&this.renderer.scrollSelectionIntoView(this.selection.anchor,this.selection.lead);break;default:}n=="animate"&&this.renderer.animateScrolling(this.curOp.scrollTop)}var s=this.selection.toJSON();this.curOp.selectionAfter=s,this.$lastSel=this.selection.toJSON(),this.session.getUndoManager().addSelection(s),this.prevOp=this.curOp,this.curOp=null}},this.$mergeableCommands=["backspace","del","insertstring"],this.$historyTracker=function(e){if(!this.$mergeUndoDeltas)return;var t=this.prevOp,n=this.$mergeableCommands,r=t.command&&e.command.name==t.command.name;if(e.command.name=="insertstring"){var i=e.args;this.mergeNextCommand===undefined&&(this.mergeNextCommand=!0),r=r&&this.mergeNextCommand&&(!/\s/.test(i)||/\s/.test(t.args)),this.mergeNextCommand=!0}else r=r&&n.indexOf(e.command.name)!==-1;this.$mergeUndoDeltas!="always"&&Date.now()-this.sequenceStartTime>2e3&&(r=!1),r?this.session.mergeUndoDeltas=!0:n.indexOf(e.command.name)!==-1&&(this.sequenceStartTime=Date.now())},this.setKeyboardHandler=function(e,t){if(e&&typeof e=="string"&&e!="ace"){this.$keybindingId=e;var n=this;g.loadModule(["keybinding",e],function(r){n.$keybindingId==e&&n.keyBinding.setKeyboardHandler(r&&r.handler),t&&t()})}else this.$keybindingId=null,this.keyBinding.setKeyboardHandler(e),t&&t()},this.getKeyboardHandler=function(){return this.keyBinding.getKeyboardHandler()},this.setSession=function(e){if(this.session==e)return;this.curOp&&this.endOperation(),this.curOp={};var t=this.session;if(t){this.session.off("change",this.$onDocumentChange),this.session.off("changeMode",this.$onChangeMode),this.session.off("tokenizerUpdate",this.$onTokenizerUpdate),this.session.off("changeTabSize",this.$onChangeTabSize),this.session.off("changeWrapLimit",this.$onChangeWrapLimit),this.session.off("changeWrapMode",this.$onChangeWrapMode),this.session.off("changeFold",this.$onChangeFold),this.session.off("changeFrontMarker",this.$onChangeFrontMarker),this.session.off("changeBackMarker",this.$onChangeBackMarker),this.session.off("changeBreakpoint",this.$onChangeBreakpoint),this.session.off("changeAnnotation",this.$onChangeAnnotation),this.session.off("changeOverwrite",this.$onCursorChange),this.session.off("changeScrollTop",this.$onScrollTopChange),this.session.off("changeScrollLeft",this.$onScrollLeftChange);var n=this.session.getSelection();n.off("changeCursor",this.$onCursorChange),n.off("changeSelection",this.$onSelectionChange)}this.session=e,e?(this.$onDocumentChange=this.onDocumentChange.bind(this),e.on("change",this.$onDocumentChange),this.renderer.setSession(e),this.$onChangeMode=this.onChangeMode.bind(this),e.on("changeMode",this.$onChangeMode),this.$onTokenizerUpdate=this.onTokenizerUpdate.bind(this),e.on("tokenizerUpdate",this.$onTokenizerUpdate),this.$onChangeTabSize=this.renderer.onChangeTabSize.bind(this.renderer),e.on("changeTabSize",this.$onChangeTabSize),this.$onChangeWrapLimit=this.onChangeWrapLimit.bind(this),e.on("changeWrapLimit",this.$onChangeWrapLimit),this.$onChangeWrapMode=this.onChangeWrapMode.bind(this),e.on("changeWrapMode",this.$onChangeWrapMode),this.$onChangeFold=this.onChangeFold.bind(this),e.on("changeFold",this.$onChangeFold),this.$onChangeFrontMarker=this.onChangeFrontMarker.bind(this),this.session.on("changeFrontMarker",this.$onChangeFrontMarker),this.$onChangeBackMarker=this.onChangeBackMarker.bind(this),this.session.on("changeBackMarker",this.$onChangeBackMarker),this.$onChangeBreakpoint=this.onChangeBreakpoint.bind(this),this.session.on("changeBreakpoint",this.$onChangeBreakpoint),this.$onChangeAnnotation=this.onChangeAnnotation.bind(this),this.session.on("changeAnnotation",this.$onChangeAnnotation),this.$onCursorChange=this.onCursorChange.bind(this),this.session.on("changeOverwrite",this.$onCursorChange),this.$onScrollTopChange=this.onScrollTopChange.bind(this),this.session.on("changeScrollTop",this.$onScrollTopChange),this.$onScrollLeftChange=this.onScrollLeftChange.bind(this),this.session.on("changeScrollLeft",this.$onScrollLeftChange),this.selection=e.getSelection(),this.selection.on("changeCursor",this.$onCursorChange),this.$onSelectionChange=this.onSelectionChange.bind(this),this.selection.on("changeSelection",this.$onSelectionChange),this.onChangeMode(),this.onCursorChange(),this.onScrollTopChange(),this.onScrollLeftChange(),this.onSelectionChange(),this.onChangeFrontMarker(),this.onChangeBackMarker(),this.onChangeBreakpoint(),this.onChangeAnnotation(),this.session.getUseWrapMode()&&this.renderer.adjustWrapLimit(),this.renderer.updateFull()):(this.selection=null,this.renderer.setSession(e)),this._signal("changeSession",{session:e,oldSession:t}),this.curOp=null,t&&t._signal("changeEditor",{oldEditor:this}),e&&e._signal("changeEditor",{editor:this}),e&&e.bgTokenizer&&e.bgTokenizer.scheduleStart()},this.getSession=function(){return this.session},this.setValue=function(e,t){return this.session.doc.setValue(e),t?t==1?this.navigateFileEnd():t==-1&&this.navigateFileStart():this.selectAll(),e},this.getValue=function(){return this.session.getValue()},this.getSelection=function(){return this.selection},this.resize=function(e){this.renderer.onResize(e)},this.setTheme=function(e,t){this.renderer.setTheme(e,t)},this.getTheme=function(){return this.renderer.getTheme()},this.setStyle=function(e){this.renderer.setStyle(e)},this.unsetStyle=function(e){this.renderer.unsetStyle(e)},this.getFontSize=function(){return this.getOption("fontSize")||i.computedStyle(this.container).fontSize},this.setFontSize=function(e){this.setOption("fontSize",e)},this.$highlightBrackets=function(){this.session.$bracketHighlight&&(this.session.removeMarker(this.session.$bracketHighlight),this.session.$bracketHighlight=null);if(this.$highlightPending)return;var e=this;this.$highlightPending=!0,setTimeout(function(){e.$highlightPending=!1;var t=e.session;if(!t||!t.bgTokenizer)return;var n=t.findMatchingBracket(e.getCursorPosition());if(n)var r=new p(n.row,n.column,n.row,n.column+1);else if(t.$mode.getMatching)var r=t.$mode.getMatching(e.session);r&&(t.$bracketHighlight=t.addMarker(r,"ace_bracket","text"))},50)},this.$highlightTags=function(){if(this.$highlightTagPending)return;var e=this;this.$highlightTagPending=!0,setTimeout(function(){e.$highlightTagPending=!1;var t=e.session;if(!t||!t.bgTokenizer)return;var n=e.getCursorPosition(),r=new y(e.session,n.row,n.column),i=r.getCurrentToken();if(!i||!/\b(?:tag-open|tag-name)/.test(i.type)){t.removeMarker(t.$tagHighlight),t.$tagHighlight=null;return}if(i.type.indexOf("tag-open")!=-1){i=r.stepForward();if(!i)return}var s=i.value,o=0,u=r.stepBackward();if(u.value=="<"){do u=i,i=r.stepForward(),i&&i.value===s&&i.type.indexOf("tag-name")!==-1&&(u.value==="<"?o++:u.value==="=0)}else{do i=u,u=r.stepBackward(),i&&i.value===s&&i.type.indexOf("tag-name")!==-1&&(u.value==="<"?o++:u.value==="1)&&(t=!1)}if(e.$highlightLineMarker&&!t)e.removeMarker(e.$highlightLineMarker.id),e.$highlightLineMarker=null;else if(!e.$highlightLineMarker&&t){var n=new p(t.row,t.column,t.row,Infinity);n.id=e.addMarker(n,"ace_active-line","screenLine"),e.$highlightLineMarker=n}else t&&(e.$highlightLineMarker.start.row=t.row,e.$highlightLineMarker.end.row=t.row,e.$highlightLineMarker.start.column=t.column,e._signal("changeBackMarker"))},this.onSelectionChange=function(e){var t=this.session;t.$selectionMarker&&t.removeMarker(t.$selectionMarker),t.$selectionMarker=null;if(!this.selection.isEmpty()){var n=this.selection.getRange(),r=this.getSelectionStyle();t.$selectionMarker=t.addMarker(n,"ace_selection",r)}else this.$updateHighlightActiveLine();var i=this.$highlightSelectedWord&&this.$getSelectionHighLightRegexp();this.session.highlight(i),this._signal("changeSelection")},this.$getSelectionHighLightRegexp=function(){var e=this.session,t=this.getSelectionRange();if(t.isEmpty()||t.isMultiLine())return;var n=t.start.column,r=t.end.column,i=e.getLine(t.start.row),s=i.substring(n,r);if(s.length>5e3||!/[\w\d]/.test(s))return;var o=this.$search.$assembleRegExp({wholeWord:!0,caseSensitive:!0,needle:s}),u=i.substring(n-1,r+1);if(!o.test(u))return;return o},this.onChangeFrontMarker=function(){this.renderer.updateFrontMarkers()},this.onChangeBackMarker=function(){this.renderer.updateBackMarkers()},this.onChangeBreakpoint=function(){this.renderer.updateBreakpoints()},this.onChangeAnnotation=function(){this.renderer.setAnnotations(this.session.getAnnotations())},this.onChangeMode=function(e){this.renderer.updateText(),this._emit("changeMode",e)},this.onChangeWrapLimit=function(){this.renderer.updateFull()},this.onChangeWrapMode=function(){this.renderer.onResize(!0)},this.onChangeFold=function(){this.$updateHighlightActiveLine(),this.renderer.updateFull()},this.getSelectedText=function(){return this.session.getTextRange(this.getSelectionRange())},this.getCopyText=function(){var e=this.getSelectedText(),t=this.session.doc.getNewLineCharacter(),n=!1;if(!e&&this.$copyWithEmptySelection){n=!0;var r=this.selection.getAllRanges();for(var i=0;is.length||i.length<2||!i[1])return this.commands.exec("insertstring",this,t);for(var o=s.length;o--;){var u=s[o];u.isEmpty()||r.remove(u),r.insert(u.start,i[o])}}},this.execCommand=function(e,t){return this.commands.exec(e,this,t)},this.insert=function(e,t){var n=this.session,r=n.getMode(),i=this.getCursorPosition();if(this.getBehavioursEnabled()&&!t){var s=r.transformAction(n.getState(i.row),"insertion",this,n,e);s&&(e!==s.text&&(this.inVirtualSelectionMode||(this.session.mergeUndoDeltas=!1,this.mergeNextCommand=!1)),e=s.text)}e==" "&&(e=this.session.getTabString());if(!this.selection.isEmpty()){var o=this.getSelectionRange();i=this.session.remove(o),this.clearSelection()}else if(this.session.getOverwrite()&&e.indexOf("\n")==-1){var o=new p.fromPoints(i,i);o.end.column+=e.length,this.session.remove(o)}if(e=="\n"||e=="\r\n"){var u=n.getLine(i.row);if(i.column>u.search(/\S|$/)){var a=u.substr(i.column).search(/\S|$/);n.doc.removeInLine(i.row,i.column,i.column+a)}}this.clearSelection();var f=i.column,l=n.getState(i.row),u=n.getLine(i.row),c=r.checkOutdent(l,u,e),h=n.insert(i,e);s&&s.selection&&(s.selection.length==2?this.selection.setSelectionRange(new p(i.row,f+s.selection[0],i.row,f+s.selection[1])):this.selection.setSelectionRange(new p(i.row+s.selection[0],s.selection[1],i.row+s.selection[2],s.selection[3])));if(n.getDocument().isNewLine(e)){var d=r.getNextLineIndent(l,u.slice(0,i.column),n.getTabString());n.insert({row:i.row+1,column:0},d)}c&&r.autoOutdent(l,n,i.row)},this.onTextInput=function(e,t){if(!t)return this.keyBinding.onTextInput(e);this.startOperation({command:{name:"insertstring"}});var n=this.applyComposition.bind(this,e,t);this.selection.rangeCount?this.forEachSelection(n):n(),this.endOperation()},this.applyComposition=function(e,t){if(t.extendLeft||t.extendRight){var n=this.selection.getRange();n.start.column-=t.extendLeft,n.end.column+=t.extendRight,this.selection.setRange(n),!e&&!n.isEmpty()&&this.remove()}(e||!this.selection.isEmpty())&&this.insert(e,!0);if(t.restoreStart||t.restoreEnd){var n=this.selection.getRange();n.start.column-=t.restoreStart,n.end.column-=t.restoreEnd,this.selection.setRange(n)}},this.onCommandKey=function(e,t,n){this.keyBinding.onCommandKey(e,t,n)},this.setOverwrite=function(e){this.session.setOverwrite(e)},this.getOverwrite=function(){return this.session.getOverwrite()},this.toggleOverwrite=function(){this.session.toggleOverwrite()},this.setScrollSpeed=function(e){this.setOption("scrollSpeed",e)},this.getScrollSpeed=function(){return this.getOption("scrollSpeed")},this.setDragDelay=function(e){this.setOption("dragDelay",e)},this.getDragDelay=function(){return this.getOption("dragDelay")},this.setSelectionStyle=function(e){this.setOption("selectionStyle",e)},this.getSelectionStyle=function(){return this.getOption("selectionStyle")},this.setHighlightActiveLine=function(e){this.setOption("highlightActiveLine",e)},this.getHighlightActiveLine=function(){return this.getOption("highlightActiveLine")},this.setHighlightGutterLine=function(e){this.setOption("highlightGutterLine",e)},this.getHighlightGutterLine=function(){return this.getOption("highlightGutterLine")},this.setHighlightSelectedWord=function(e){this.setOption("highlightSelectedWord",e)},this.getHighlightSelectedWord=function(){return this.$highlightSelectedWord},this.setAnimatedScroll=function(e){this.renderer.setAnimatedScroll(e)},this.getAnimatedScroll=function(){return this.renderer.getAnimatedScroll()},this.setShowInvisibles=function(e){this.renderer.setShowInvisibles(e)},this.getShowInvisibles=function(){return this.renderer.getShowInvisibles()},this.setDisplayIndentGuides=function(e){this.renderer.setDisplayIndentGuides(e)},this.getDisplayIndentGuides=function(){return this.renderer.getDisplayIndentGuides()},this.setShowPrintMargin=function(e){this.renderer.setShowPrintMargin(e)},this.getShowPrintMargin=function(){return this.renderer.getShowPrintMargin()},this.setPrintMarginColumn=function(e){this.renderer.setPrintMarginColumn(e)},this.getPrintMarginColumn=function(){return this.renderer.getPrintMarginColumn()},this.setReadOnly=function(e){this.setOption("readOnly",e)},this.getReadOnly=function(){return this.getOption("readOnly")},this.setBehavioursEnabled=function(e){this.setOption("behavioursEnabled",e)},this.getBehavioursEnabled=function(){return this.getOption("behavioursEnabled")},this.setWrapBehavioursEnabled=function(e){this.setOption("wrapBehavioursEnabled",e)},this.getWrapBehavioursEnabled=function(){return this.getOption("wrapBehavioursEnabled")},this.setShowFoldWidgets=function(e){this.setOption("showFoldWidgets",e)},this.getShowFoldWidgets=function(){return this.getOption("showFoldWidgets")},this.setFadeFoldWidgets=function(e){this.setOption("fadeFoldWidgets",e)},this.getFadeFoldWidgets=function(){return this.getOption("fadeFoldWidgets")},this.remove=function(e){this.selection.isEmpty()&&(e=="left"?this.selection.selectLeft():this.selection.selectRight());var t=this.getSelectionRange();if(this.getBehavioursEnabled()){var n=this.session,r=n.getState(t.start.row),i=n.getMode().transformAction(r,"deletion",this,n,t);if(t.end.column===0){var s=n.getTextRange(t);if(s[s.length-1]=="\n"){var o=n.getLine(t.end.row);/^\s+$/.test(o)&&(t.end.column=o.length)}}i&&(t=i)}this.session.remove(t),this.clearSelection()},this.removeWordRight=function(){this.selection.isEmpty()&&this.selection.selectWordRight(),this.session.remove(this.getSelectionRange()),this.clearSelection()},this.removeWordLeft=function(){this.selection.isEmpty()&&this.selection.selectWordLeft(),this.session.remove(this.getSelectionRange()),this.clearSelection()},this.removeToLineStart=function(){this.selection.isEmpty()&&this.selection.selectLineStart(),this.selection.isEmpty()&&this.selection.selectLeft(),this.session.remove(this.getSelectionRange()),this.clearSelection()},this.removeToLineEnd=function(){this.selection.isEmpty()&&this.selection.selectLineEnd();var e=this.getSelectionRange();e.start.column==e.end.column&&e.start.row==e.end.row&&(e.end.column=0,e.end.row++),this.session.remove(e),this.clearSelection()},this.splitLine=function(){this.selection.isEmpty()||(this.session.remove(this.getSelectionRange()),this.clearSelection());var e=this.getCursorPosition();this.insert("\n"),this.moveCursorToPosition(e)},this.transposeLetters=function(){if(!this.selection.isEmpty())return;var e=this.getCursorPosition(),t=e.column;if(t===0)return;var n=this.session.getLine(e.row),r,i;tt.toLowerCase()?1:0});var i=new p(0,0,0,0);for(var r=e.first;r<=e.last;r++){var s=t.getLine(r);i.start.row=r,i.end.row=r,i.end.column=s.length,t.replace(i,n[r-e.first])}},this.toggleCommentLines=function(){var e=this.session.getState(this.getCursorPosition().row),t=this.$getSelectedRows();this.session.getMode().toggleCommentLines(e,this.session,t.first,t.last)},this.toggleBlockComment=function(){var e=this.getCursorPosition(),t=this.session.getState(e.row),n=this.getSelectionRange();this.session.getMode().toggleBlockComment(t,this.session,n,e)},this.getNumberAt=function(e,t){var n=/[\-]?[0-9]+(?:\.[0-9]+)?/g;n.lastIndex=0;var r=this.session.getLine(e);while(n.lastIndex=t){var s={value:i[0],start:i.index,end:i.index+i[0].length};return s}}return null},this.modifyNumber=function(e){var t=this.selection.getCursor().row,n=this.selection.getCursor().column,r=new p(t,n-1,t,n),i=this.session.getTextRange(r);if(!isNaN(parseFloat(i))&&isFinite(i)){var s=this.getNumberAt(t,n);if(s){var o=s.value.indexOf(".")>=0?s.start+s.value.indexOf(".")+1:s.end,u=s.start+s.value.length-o,a=parseFloat(s.value);a*=Math.pow(10,u),o!==s.end&&n=u&&o<=a&&(n=t,f.selection.clearSelection(),f.moveCursorTo(e,u+r),f.selection.selectTo(e,a+r)),u=a});var l=this.$toggleWordPairs,c;for(var h=0;hp+1)break;p=d.last}l--,u=this.session.$moveLines(h,p,t?0:e),t&&e==-1&&(c=l+1);while(c<=l)o[c].moveBy(u,0),c++;t||(u=0),a+=u}i.fromOrientedRange(i.ranges[0]),i.rangeList.attach(this.session),this.inVirtualSelectionMode=!1}},this.$getSelectedRows=function(e){return e=(e||this.getSelectionRange()).collapseRows(),{first:this.session.getRowFoldStart(e.start.row),last:this.session.getRowFoldEnd(e.end.row)}},this.onCompositionStart=function(e){this.renderer.showComposition(e)},this.onCompositionUpdate=function(e){this.renderer.setCompositionText(e)},this.onCompositionEnd=function(){this.renderer.hideComposition()},this.getFirstVisibleRow=function(){return this.renderer.getFirstVisibleRow()},this.getLastVisibleRow=function(){return this.renderer.getLastVisibleRow()},this.isRowVisible=function(e){return e>=this.getFirstVisibleRow()&&e<=this.getLastVisibleRow()},this.isRowFullyVisible=function(e){return e>=this.renderer.getFirstFullyVisibleRow()&&e<=this.renderer.getLastFullyVisibleRow()},this.$getVisibleRowCount=function(){return this.renderer.getScrollBottomRow()-this.renderer.getScrollTopRow()+1},this.$moveByPage=function(e,t){var n=this.renderer,r=this.renderer.layerConfig,i=e*Math.floor(r.height/r.lineHeight);t===!0?this.selection.$moveSelection(function(){this.moveCursorBy(i,0)}):t===!1&&(this.selection.moveCursorBy(i,0),this.selection.clearSelection());var s=n.scrollTop;n.scrollBy(0,i*r.lineHeight),t!=null&&n.scrollCursorIntoView(null,.5),n.animateScrolling(s)},this.selectPageDown=function(){this.$moveByPage(1,!0)},this.selectPageUp=function(){this.$moveByPage(-1,!0)},this.gotoPageDown=function(){this.$moveByPage(1,!1)},this.gotoPageUp=function(){this.$moveByPage(-1,!1)},this.scrollPageDown=function(){this.$moveByPage(1)},this.scrollPageUp=function(){this.$moveByPage(-1)},this.scrollToRow=function(e){this.renderer.scrollToRow(e)},this.scrollToLine=function(e,t,n,r){this.renderer.scrollToLine(e,t,n,r)},this.centerSelection=function(){var e=this.getSelectionRange(),t={row:Math.floor(e.start.row+(e.end.row-e.start.row)/2),column:Math.floor(e.start.column+(e.end.column-e.start.column)/2)};this.renderer.alignCursor(t,.5)},this.getCursorPosition=function(){return this.selection.getCursor()},this.getCursorPositionScreen=function(){return this.session.documentToScreenPosition(this.getCursorPosition())},this.getSelectionRange=function(){return this.selection.getRange()},this.selectAll=function(){this.selection.selectAll()},this.clearSelection=function(){this.selection.clearSelection()},this.moveCursorTo=function(e,t){this.selection.moveCursorTo(e,t)},this.moveCursorToPosition=function(e){this.selection.moveCursorToPosition(e)},this.jumpToMatching=function(e,t){var n=this.getCursorPosition(),r=new y(this.session,n.row,n.column),i=r.getCurrentToken(),s=i||r.stepForward();if(!s)return;var o,u=!1,a={},f=n.column-s.start,l,c={")":"(","(":"(","]":"[","[":"[","{":"{","}":"{"};do{if(s.value.match(/[{}()\[\]]/g))for(;f=0;--s)this.$tryReplace(n[s],e)&&r++;return this.selection.setSelectionRange(i),r},this.$tryReplace=function(e,t){var n=this.session.getTextRange(e);return t=this.$search.replace(n,t),t!==null?(e.end=this.session.replace(e,t),e):null},this.getLastSearchOptions=function(){return this.$search.getOptions()},this.find=function(e,t,n){t||(t={}),typeof e=="string"||e instanceof RegExp?t.needle=e:typeof e=="object"&&r.mixin(t,e);var i=this.selection.getRange();t.needle==null&&(e=this.session.getTextRange(i)||this.$search.$options.needle,e||(i=this.session.getWordRange(i.start.row,i.start.column),e=this.session.getTextRange(i)),this.$search.set({needle:e})),this.$search.set(t),t.start||this.$search.set({start:i});var s=this.$search.find(this.session);if(t.preventScroll)return s;if(s)return this.revealRange(s,n),s;t.backwards?i.start=i.end:i.end=i.start,this.selection.setRange(i)},this.findNext=function(e,t){this.find({skipCurrent:!0,backwards:!1},e,t)},this.findPrevious=function(e,t){this.find(e,{skipCurrent:!0,backwards:!0},t)},this.revealRange=function(e,t){this.session.unfold(e),this.selection.setSelectionRange(e);var n=this.renderer.scrollTop;this.renderer.scrollSelectionIntoView(e.start,e.end,.5),t!==!1&&this.renderer.animateScrolling(n)},this.undo=function(){this.session.getUndoManager().undo(this.session),this.renderer.scrollCursorIntoView(null,.5)},this.redo=function(){this.session.getUndoManager().redo(this.session),this.renderer.scrollCursorIntoView(null,.5)},this.destroy=function(){this.renderer.destroy(),this._signal("destroy",this),this.session&&this.session.destroy()},this.setAutoScrollEditorIntoView=function(e){if(!e)return;var t,n=this,r=!1;this.$scrollAnchor||(this.$scrollAnchor=document.createElement("div"));var i=this.$scrollAnchor;i.style.cssText="position:absolute",this.container.insertBefore(i,this.container.firstChild);var s=this.on("changeSelection",function(){r=!0}),o=this.renderer.on("beforeRender",function(){r&&(t=n.renderer.container.getBoundingClientRect())}),u=this.renderer.on("afterRender",function(){if(r&&t&&(n.isFocused()||n.searchBox&&n.searchBox.isFocused())){var e=n.renderer,s=e.$cursorLayer.$pixelPos,o=e.layerConfig,u=s.top-o.offset;s.top>=0&&u+t.top<0?r=!0:s.topwindow.innerHeight?r=!1:r=null,r!=null&&(i.style.top=u+"px",i.style.left=s.left+"px",i.style.height=o.lineHeight+"px",i.scrollIntoView(r)),r=t=null}});this.setAutoScrollEditorIntoView=function(e){if(e)return;delete this.setAutoScrollEditorIntoView,this.off("changeSelection",s),this.renderer.off("afterRender",u),this.renderer.off("beforeRender",o)}},this.$resetCursorStyle=function(){var e=this.$cursorStyle||"ace",t=this.renderer.$cursorLayer;if(!t)return;t.setSmoothBlinking(/smooth/.test(e)),t.isBlinking=!this.$readOnly&&e!="wide",i.setCssClass(t.element,"ace_slim-cursors",/slim/.test(e))},this.prompt=function(e,t,n){var r=this;g.loadModule("./ext/prompt",function(i){i.prompt(r,e,t,n)})}}.call(w.prototype),g.defineOptions(w.prototype,"editor",{selectionStyle:{set:function(e){this.onSelectionChange(),this._signal("changeSelectionStyle",{data:e})},initialValue:"line"},highlightActiveLine:{set:function(){this.$updateHighlightActiveLine()},initialValue:!0},highlightSelectedWord:{set:function(e){this.$onSelectionChange()},initialValue:!0},readOnly:{set:function(e){this.textInput.setReadOnly(e),this.$resetCursorStyle()},initialValue:!1},copyWithEmptySelection:{set:function(e){this.textInput.setCopyWithEmptySelection(e)},initialValue:!1},cursorStyle:{set:function(e){this.$resetCursorStyle()},values:["ace","slim","smooth","wide"],initialValue:"ace"},mergeUndoDeltas:{values:[!1,!0,"always"],initialValue:!0},behavioursEnabled:{initialValue:!0},wrapBehavioursEnabled:{initialValue:!0},autoScrollEditorIntoView:{set:function(e){this.setAutoScrollEditorIntoView(e)}},keyboardHandler:{set:function(e){this.setKeyboardHandler(e)},get:function(){return this.$keybindingId},handlesSet:!0},value:{set:function(e){this.session.setValue(e)},get:function(){return this.getValue()},handlesSet:!0,hidden:!0},session:{set:function(e){this.setSession(e)},get:function(){return this.session},handlesSet:!0,hidden:!0},showLineNumbers:{set:function(e){this.renderer.$gutterLayer.setShowLineNumbers(e),this.renderer.$loop.schedule(this.renderer.CHANGE_GUTTER),e&&this.$relativeLineNumbers?E.attach(this):E.detach(this)},initialValue:!0},relativeLineNumbers:{set:function(e){this.$showLineNumbers&&e?E.attach(this):E.detach(this)}},hScrollBarAlwaysVisible:"renderer",vScrollBarAlwaysVisible:"renderer",highlightGutterLine:"renderer",animatedScroll:"renderer",showInvisibles:"renderer",showPrintMargin:"renderer",printMarginColumn:"renderer",printMargin:"renderer",fadeFoldWidgets:"renderer",showFoldWidgets:"renderer",displayIndentGuides:"renderer",showGutter:"renderer",fontSize:"renderer",fontFamily:"renderer",maxLines:"renderer",minLines:"renderer",scrollPastEnd:"renderer",fixedWidthGutter:"renderer",theme:"renderer",hasCssTransforms:"renderer",maxPixelHeight:"renderer",useTextareaForIME:"renderer",scrollSpeed:"$mouseHandler",dragDelay:"$mouseHandler",dragEnabled:"$mouseHandler",focusTimeout:"$mouseHandler",tooltipFollowsMouse:"$mouseHandler",firstLineNumber:"session",overwrite:"session",newLineMode:"session",useWorker:"session",useSoftTabs:"session",navigateWithinSoftTabs:"session",tabSize:"session",wrap:"session",indentedSoftWrap:"session",foldStyle:"session",mode:"session"});var E={getText:function(e,t){return(Math.abs(e.selection.lead.row-t)||t+1+(t<9?"\u00b7":""))+""},getWidth:function(e,t,n){return Math.max(t.toString().length,(n.lastRow+1).toString().length,2)*n.characterWidth},update:function(e,t){t.renderer.$loop.schedule(t.renderer.CHANGE_GUTTER)},attach:function(e){e.renderer.$gutterLayer.$renderer=this,e.on("changeSelection",this.update),this.update(null,e)},detach:function(e){e.renderer.$gutterLayer.$renderer==this&&(e.renderer.$gutterLayer.$renderer=null),e.off("changeSelection",this.update),this.update(null,e)}};t.Editor=w}),ace.define("ace/undomanager",["require","exports","module","ace/range"],function(e,t,n){"use strict";function i(e,t){for(var n=t;n--;){var r=e[n];if(r&&!r[0].ignore){while(n0){a.row+=i,a.column+=a.row==r.row?s:0;continue}!t&&l<=0&&(a.row=n.row,a.column=n.column,l===0&&(a.bias=1))}}function f(e){return{row:e.row,column:e.column}}function l(e){return{start:f(e.start),end:f(e.end),action:e.action,lines:e.lines.slice()}}function c(e){e=e||this;if(Array.isArray(e))return e.map(c).join("\n");var t="";e.action?(t=e.action=="insert"?"+":"-",t+="["+e.lines+"]"):e.value&&(Array.isArray(e.value)?t=e.value.map(h).join("\n"):t=h(e.value)),e.start&&(t+=h(e));if(e.id||e.rev)t+=" ("+(e.id||e.rev)+")";return t}function h(e){return e.start.row+":"+e.start.column+"=>"+e.end.row+":"+e.end.column}function p(e,t){var n=e.action=="insert",r=t.action=="insert";if(n&&r)if(o(t.start,e.end)>=0)m(t,e,-1);else{if(!(o(t.start,e.start)<=0))return null;m(e,t,1)}else if(n&&!r)if(o(t.start,e.end)>=0)m(t,e,-1);else{if(!(o(t.end,e.start)<=0))return null;m(e,t,-1)}else if(!n&&r)if(o(t.start,e.start)>=0)m(t,e,1);else{if(!(o(t.start,e.start)<=0))return null;m(e,t,1)}else if(!n&&!r)if(o(t.start,e.start)>=0)m(t,e,1);else{if(!(o(t.end,e.start)<=0))return null;m(e,t,-1)}return[t,e]}function d(e,t){for(var n=e.length;n--;)for(var r=0;r=0?m(e,t,-1):o(e.start,t.start)<=0?m(t,e,1):(m(e,s.fromPoints(t.start,e.start),-1),m(t,e,1));else if(!n&&r)o(t.start,e.end)>=0?m(t,e,-1):o(t.start,e.start)<=0?m(e,t,1):(m(t,s.fromPoints(e.start,t.start),-1),m(e,t,1));else if(!n&&!r)if(o(t.start,e.end)>=0)m(t,e,-1);else{if(!(o(t.end,e.start)<=0)){var i,u;return o(e.start,t.start)<0&&(i=e,e=y(e,t.start)),o(e.end,t.end)>0&&(u=y(e,t.end)),g(t.end,e.start,e.end,-1),u&&!i&&(e.lines=u.lines,e.start=u.start,e.end=u.end,u=e),[t,i,u].filter(Boolean)}m(e,t,-1)}return[t,e]}function m(e,t,n){g(e.start,t.start,t.end,n),g(e.end,t.start,t.end,n)}function g(e,t,n,r){e.row==(r==1?t:n).row&&(e.column+=r*(n.column-t.column)),e.row+=r*(n.row-t.row)}function y(e,t){var n=e.lines,r=e.end;e.end=f(t);var i=e.end.row-e.start.row,s=n.splice(i,n.length),o=i?t.column:t.column-e.start.column;n.push(s[0].substring(0,o)),s[0]=s[0].substr(o);var u={start:f(t),end:r,lines:s,action:e.action};return u}function b(e,t){t=l(t);for(var n=e.length;n--;){var r=e[n];for(var i=0;i0},this.canRedo=function(){return this.$redoStack.length>0},this.bookmark=function(e){e==undefined&&(e=this.$rev),this.mark=e},this.isAtBookmark=function(){return this.$rev===this.mark},this.toJSON=function(){},this.fromJSON=function(){},this.hasUndo=this.canUndo,this.hasRedo=this.canRedo,this.isClean=this.isAtBookmark,this.markClean=this.bookmark,this.$prettyPrint=function(e){return e?c(e):c(this.$undoStack)+"\n---\n"+c(this.$redoStack)}}).call(r.prototype);var s=e("./range").Range,o=s.comparePoints,u=s.comparePoints;t.UndoManager=r}),ace.define("ace/layer/lines",["require","exports","module","ace/lib/dom"],function(e,t,n){"use strict";var r=e("../lib/dom"),i=function(e,t){this.element=e,this.canvasHeight=t||5e5,this.element.style.height=this.canvasHeight*2+"px",this.cells=[],this.cellCache=[],this.$offsetCoefficient=0};(function(){this.moveContainer=function(e){r.translate(this.element,0,-(e.firstRowScreen*e.lineHeight%this.canvasHeight)-e.offset*this.$offsetCoefficient)},this.pageChanged=function(e,t){return Math.floor(e.firstRowScreen*e.lineHeight/this.canvasHeight)!==Math.floor(t.firstRowScreen*t.lineHeight/this.canvasHeight)},this.computeLineTop=function(e,t,n){var r=t.firstRowScreen*t.lineHeight,i=Math.floor(r/this.canvasHeight),s=n.documentToScreenRow(e,0)*t.lineHeight;return s-i*this.canvasHeight},this.computeLineHeight=function(e,t,n){return t.lineHeight*n.getRowLength(e)},this.getLength=function(){return this.cells.length},this.get=function(e){return this.cells[e]},this.shift=function(){this.$cacheCell(this.cells.shift())},this.pop=function(){this.$cacheCell(this.cells.pop())},this.push=function(e){if(Array.isArray(e)){this.cells.push.apply(this.cells,e);var t=r.createFragment(this.element);for(var n=0;ns&&(a=i.end.row+1,i=t.getNextFoldLine(a,i),s=i?i.start.row:Infinity);if(a>r){while(this.$lines.getLength()>u+1)this.$lines.pop();break}o=this.$lines.get(++u),o?o.row=a:(o=this.$lines.createCell(a,e,this.session,f),this.$lines.push(o)),this.$renderCell(o,e,i,a),a++}this._signal("afterRender"),this.$updateGutterWidth(e)},this.$updateGutterWidth=function(e){var t=this.session,n=t.gutterRenderer||this.$renderer,r=t.$firstLineNumber,i=this.$lines.last()?this.$lines.last().text:"";if(this.$fixedWidth||t.$useWrapMode)i=t.getLength()+r-1;var s=n?n.getWidth(t,i,e):i.toString().length*e.characterWidth,o=this.$padding||this.$computePadding();s+=o.left+o.right,s!==this.gutterWidth&&!isNaN(s)&&(this.gutterWidth=s,this.element.parentNode.style.width=this.element.style.width=Math.ceil(this.gutterWidth)+"px",this._signal("changeGutterWidth",s))},this.$updateCursorRow=function(){if(!this.$highlightGutterLine)return;var e=this.session.selection.getCursor();if(this.$cursorRow===e.row)return;this.$cursorRow=e.row},this.updateLineHighlight=function(){if(!this.$highlightGutterLine)return;var e=this.session.selection.cursor.row;this.$cursorRow=e;if(this.$cursorCell&&this.$cursorCell.row==e)return;this.$cursorCell&&(this.$cursorCell.element.className=this.$cursorCell.element.className.replace("ace_gutter-active-line ",""));var t=this.$lines.cells;this.$cursorCell=null;for(var n=0;n=this.$cursorRow){if(r.row>this.$cursorRow){var i=this.session.getFoldLine(this.$cursorRow);if(!(n>0&&i&&i.start.row==t[n-1].row))break;r=t[n-1]}r.element.className="ace_gutter-active-line "+r.element.className,this.$cursorCell=r;break}}},this.scrollLines=function(e){var t=this.config;this.config=e,this.$updateCursorRow();if(this.$lines.pageChanged(t,e))return this.update(e);this.$lines.moveContainer(e);var n=Math.min(e.lastRow+e.gutterOffset,this.session.getLength()-1),r=this.oldLastRow;this.oldLastRow=n;if(!t||r0;i--)this.$lines.shift();if(r>n)for(var i=this.session.getFoldedRowCount(n+1,r);i>0;i--)this.$lines.pop();e.firstRowr&&this.$lines.push(this.$renderLines(e,r+1,n)),this.updateLineHighlight(),this._signal("afterRender"),this.$updateGutterWidth(e)},this.$renderLines=function(e,t,n){var r=[],i=t,s=this.session.getNextFoldLine(i),o=s?s.start.row:Infinity;for(;;){i>o&&(i=s.end.row+1,s=this.session.getNextFoldLine(i,s),o=s?s.start.row:Infinity);if(i>n)break;var u=this.$lines.createCell(i,e,this.session,f);this.$renderCell(u,e,s,i),r.push(u),i++}return r},this.$renderCell=function(e,t,n,i){var s=e.element,o=this.session,u=s.childNodes[0],a=s.childNodes[1],f=o.$firstLineNumber,l=o.$breakpoints,c=o.$decorations,h=o.gutterRenderer||this.$renderer,p=this.$showFoldWidgets&&o.foldWidgets,d=n?n.start.row:Number.MAX_VALUE,v="ace_gutter-cell ";this.$highlightGutterLine&&(i==this.$cursorRow||n&&i=d&&this.$cursorRow<=n.end.row)&&(v+="ace_gutter-active-line ",this.$cursorCell!=e&&(this.$cursorCell&&(this.$cursorCell.element.className=this.$cursorCell.element.className.replace("ace_gutter-active-line ","")),this.$cursorCell=e)),l[i]&&(v+=l[i]),c[i]&&(v+=c[i]),this.$annotations[i]&&(v+=this.$annotations[i].className),s.className!=v&&(s.className=v);if(p){var m=p[i];m==null&&(m=p[i]=o.getFoldWidget(i))}if(m){var v="ace_fold-widget ace_"+m;m=="start"&&i==d&&in.right-t.right)return"foldWidgets"}}).call(a.prototype),t.Gutter=a}),ace.define("ace/layer/marker",["require","exports","module","ace/range","ace/lib/dom"],function(e,t,n){"use strict";var r=e("../range").Range,i=e("../lib/dom"),s=function(e){this.element=i.createElement("div"),this.element.className="ace_layer ace_marker-layer",e.appendChild(this.element)};(function(){function e(e,t,n,r){return(e?1:0)|(t?2:0)|(n?4:0)|(r?8:0)}this.$padding=0,this.setPadding=function(e){this.$padding=e},this.setSession=function(e){this.session=e},this.setMarkers=function(e){this.markers=e},this.elt=function(e,t){var n=this.i!=-1&&this.element.childNodes[this.i];n?this.i++:(n=document.createElement("div"),this.element.appendChild(n),this.i=-1),n.style.cssText=t,n.className=e},this.update=function(e){if(!e)return;this.config=e,this.i=0;var t;for(var n in this.markers){var r=this.markers[n];if(!r.range){r.update(t,this,this.session,e);continue}var i=r.range.clipRows(e.firstRow,e.lastRow);if(i.isEmpty())continue;i=i.toScreenRange(this.session);if(r.renderer){var s=this.$getTop(i.start.row,e),o=this.$padding+i.start.column*e.characterWidth;r.renderer(t,i,o,s,e)}else r.type=="fullLine"?this.drawFullLineMarker(t,i,r.clazz,e):r.type=="screenLine"?this.drawScreenLineMarker(t,i,r.clazz,e):i.isMultiLine()?r.type=="text"?this.drawTextMarker(t,i,r.clazz,e):this.drawMultiLineMarker(t,i,r.clazz,e):this.drawSingleLineMarker(t,i,r.clazz+" ace_start"+" ace_br15",e)}if(this.i!=-1)while(this.ip,l==f),s,l==f?0:1,o)},this.drawMultiLineMarker=function(e,t,n,r,i){var s=this.$padding,o=r.lineHeight,u=this.$getTop(t.start.row,r),a=s+t.start.column*r.characterWidth;i=i||"";if(this.session.$bidiHandler.isBidiRow(t.start.row)){var f=t.clone();f.end.row=f.start.row,f.end.column=this.session.getLine(f.start.row).length,this.drawBidiSingleLineMarker(e,f,n+" ace_br1 ace_start",r,null,i)}else this.elt(n+" ace_br1 ace_start","height:"+o+"px;"+"right:0;"+"top:"+u+"px;left:"+a+"px;"+(i||""));if(this.session.$bidiHandler.isBidiRow(t.end.row)){var f=t.clone();f.start.row=f.end.row,f.start.column=0,this.drawBidiSingleLineMarker(e,f,n+" ace_br12",r,null,i)}else{u=this.$getTop(t.end.row,r);var l=t.end.column*r.characterWidth;this.elt(n+" ace_br12","height:"+o+"px;"+"width:"+l+"px;"+"top:"+u+"px;"+"left:"+s+"px;"+(i||""))}o=(t.end.row-t.start.row-1)*r.lineHeight;if(o<=0)return;u=this.$getTop(t.start.row+1,r);var c=(t.start.column?1:0)|(t.end.column?0:8);this.elt(n+(c?" ace_br"+c:""),"height:"+o+"px;"+"right:0;"+"top:"+u+"px;"+"left:"+s+"px;"+(i||""))},this.drawSingleLineMarker=function(e,t,n,r,i,s){if(this.session.$bidiHandler.isBidiRow(t.start.row))return this.drawBidiSingleLineMarker(e,t,n,r,i,s);var o=r.lineHeight,u=(t.end.column+(i||0)-t.start.column)*r.characterWidth,a=this.$getTop(t.start.row,r),f=this.$padding+t.start.column*r.characterWidth;this.elt(n,"height:"+o+"px;"+"width:"+u+"px;"+"top:"+a+"px;"+"left:"+f+"px;"+(s||""))},this.drawBidiSingleLineMarker=function(e,t,n,r,i,s){var o=r.lineHeight,u=this.$getTop(t.start.row,r),a=this.$padding,f=this.session.$bidiHandler.getSelections(t.start.column,t.end.column);f.forEach(function(e){this.elt(n,"height:"+o+"px;"+"width:"+e.width+(i||0)+"px;"+"top:"+u+"px;"+"left:"+(a+e.left)+"px;"+(s||""))},this)},this.drawFullLineMarker=function(e,t,n,r,i){var s=this.$getTop(t.start.row,r),o=r.lineHeight;t.start.row!=t.end.row&&(o+=this.$getTop(t.end.row,r)-s),this.elt(n,"height:"+o+"px;"+"top:"+s+"px;"+"left:0;right:0;"+(i||""))},this.drawScreenLineMarker=function(e,t,n,r,i){var s=this.$getTop(t.start.row,r),o=r.lineHeight;this.elt(n,"height:"+o+"px;"+"top:"+s+"px;"+"left:0;right:0;"+(i||""))}}).call(s.prototype),t.Marker=s}),ace.define("ace/layer/text",["require","exports","module","ace/lib/oop","ace/lib/dom","ace/lib/lang","ace/layer/lines","ace/lib/event_emitter"],function(e,t,n){"use strict";var r=e("../lib/oop"),i=e("../lib/dom"),s=e("../lib/lang"),o=e("./lines").Lines,u=e("../lib/event_emitter").EventEmitter,a=function(e){this.dom=i,this.element=this.dom.createElement("div"),this.element.className="ace_layer ace_text-layer",e.appendChild(this.element),this.$updateEolChar=this.$updateEolChar.bind(this),this.$lines=new o(this.element)};(function(){r.implement(this,u),this.EOF_CHAR="\u00b6",this.EOL_CHAR_LF="\u00ac",this.EOL_CHAR_CRLF="\u00a4",this.EOL_CHAR=this.EOL_CHAR_LF,this.TAB_CHAR="\u2014",this.SPACE_CHAR="\u00b7",this.$padding=0,this.MAX_LINE_LENGTH=1e4,this.$updateEolChar=function(){var e=this.session.doc,t=e.getNewLineCharacter()=="\n"&&e.getNewLineMode()!="windows",n=t?this.EOL_CHAR_LF:this.EOL_CHAR_CRLF;if(this.EOL_CHAR!=n)return this.EOL_CHAR=n,!0},this.setPadding=function(e){this.$padding=e,this.element.style.margin="0 "+e+"px"},this.getLineHeight=function(){return this.$fontMetrics.$characterSize.height||0},this.getCharacterWidth=function(){return this.$fontMetrics.$characterSize.width||0},this.$setFontMetrics=function(e){this.$fontMetrics=e,this.$fontMetrics.on("changeCharacterSize",function(e){this._signal("changeCharacterSize",e)}.bind(this)),this.$pollSizeChanges()},this.checkForSizeChanges=function(){this.$fontMetrics.checkForSizeChanges()},this.$pollSizeChanges=function(){return this.$pollSizeChangesTimer=this.$fontMetrics.$pollSizeChanges()},this.setSession=function(e){this.session=e,e&&this.$computeTabString()},this.showInvisibles=!1,this.setShowInvisibles=function(e){return this.showInvisibles==e?!1:(this.showInvisibles=e,this.$computeTabString(),!0)},this.displayIndentGuides=!0,this.setDisplayIndentGuides=function(e){return this.displayIndentGuides==e?!1:(this.displayIndentGuides=e,this.$computeTabString(),!0)},this.$tabStrings=[],this.onChangeTabSize=this.$computeTabString=function(){var e=this.session.getTabSize();this.tabSize=e;var t=this.$tabStrings=[0];for(var n=1;nl&&(u=a.end.row+1,a=this.session.getNextFoldLine(u,a),l=a?a.start.row:Infinity);if(u>i)break;var c=s[o++];if(c){this.dom.removeChildren(c),this.$renderLine(c,u,u==l?a:!1);var h=e.lineHeight*this.session.getRowLength(u)+"px";c.style.height!=h&&(f=!0,c.style.height=h)}u++}if(f)while(o0;i--)this.$lines.shift();if(t.lastRow>e.lastRow)for(var i=this.session.getFoldedRowCount(e.lastRow+1,t.lastRow);i>0;i--)this.$lines.pop();e.firstRowt.lastRow&&this.$lines.push(this.$renderLinesFragment(e,t.lastRow+1,e.lastRow))},this.$renderLinesFragment=function(e,t,n){var r=[],s=t,o=this.session.getNextFoldLine(s),u=o?o.start.row:Infinity;for(;;){s>u&&(s=o.end.row+1,o=this.session.getNextFoldLine(s,o),u=o?o.start.row:Infinity);if(s>n)break;var a=this.$lines.createCell(s,e,this.session),f=a.element;this.dom.removeChildren(f),i.setStyle(f.style,"height",this.$lines.computeLineHeight(s,e,this.session)+"px"),i.setStyle(f.style,"top",this.$lines.computeLineTop(s,e,this.session)+"px"),this.$renderLine(f,s,s==u?o:!1),this.$useLineGroups()?f.className="ace_line_group":f.className="ace_line",r.push(a),s++}return r},this.update=function(e){this.$lines.moveContainer(e),this.config=e;var t=e.firstRow,n=e.lastRow,r=this.$lines;while(r.getLength())r.pop();r.push(this.$renderLinesFragment(e,t,n))},this.$textToken={text:!0,rparen:!0,lparen:!0},this.$renderToken=function(e,t,n,r){var i=this,o=/(\t)|( +)|([\x00-\x1f\x80-\xa0\xad\u1680\u180E\u2000-\u200f\u2028\u2029\u202F\u205F\uFEFF\uFFF9-\uFFFC]+)|(\u3000)|([\u1100-\u115F\u11A3-\u11A7\u11FA-\u11FF\u2329-\u232A\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u2FF0-\u2FFB\u3001-\u303E\u3041-\u3096\u3099-\u30FF\u3105-\u312D\u3131-\u318E\u3190-\u31BA\u31C0-\u31E3\u31F0-\u321E\u3220-\u3247\u3250-\u32FE\u3300-\u4DBF\u4E00-\uA48C\uA490-\uA4C6\uA960-\uA97C\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFAFF\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE66\uFE68-\uFE6B\uFF01-\uFF60\uFFE0-\uFFE6]|[\uD800-\uDBFF][\uDC00-\uDFFF])/g,u=this.dom.createFragment(this.element),a,f=0;while(a=o.exec(r)){var l=a[1],c=a[2],h=a[3],p=a[4],d=a[5];if(!i.showInvisibles&&c)continue;var v=f!=a.index?r.slice(f,a.index):"";f=a.index+a[0].length,v&&u.appendChild(this.dom.createTextNode(v,this.element));if(l){var m=i.session.getScreenTabSize(t+a.index);u.appendChild(i.$tabStrings[m].cloneNode(!0)),t+=m-1}else if(c)if(i.showInvisibles){var g=this.dom.createElement("span");g.className="ace_invisible ace_invisible_space",g.textContent=s.stringRepeat(i.SPACE_CHAR,c.length),u.appendChild(g)}else u.appendChild(this.com.createTextNode(c,this.element));else if(h){var g=this.dom.createElement("span");g.className="ace_invisible ace_invisible_space ace_invalid",g.textContent=s.stringRepeat(i.SPACE_CHAR,h.length),u.appendChild(g)}else if(p){var y=i.showInvisibles?i.SPACE_CHAR:"";t+=1;var g=this.dom.createElement("span");g.style.width=i.config.characterWidth*2+"px",g.className=i.showInvisibles?"ace_cjk ace_invisible ace_invisible_space":"ace_cjk",g.textContent=i.showInvisibles?i.SPACE_CHAR:"",u.appendChild(g)}else if(d){t+=1;var g=this.dom.createElement("span");g.style.width=i.config.characterWidth*2+"px",g.className="ace_cjk",g.textContent=d,u.appendChild(g)}}u.appendChild(this.dom.createTextNode(f?r.slice(f):r,this.element));if(!this.$textToken[n.type]){var b="ace_"+n.type.replace(/\./g," ace_"),g=this.dom.createElement("span");n.type=="fold"&&(g.style.width=n.value.length*this.config.characterWidth+"px"),g.className=b,g.appendChild(u),e.appendChild(g)}else e.appendChild(u);return t+r.length},this.renderIndentGuide=function(e,t,n){var r=t.search(this.$indentGuideRe);if(r<=0||r>=n)return t;if(t[0]==" "){r-=r%this.tabSize;var i=r/this.tabSize;for(var s=0;s=o)u=this.$renderToken(a,u,l,c.substring(0,o-r)),c=c.substring(o-r),r=o,a=this.$createLineElement(),e.appendChild(a),a.appendChild(this.dom.createTextNode(s.stringRepeat("\u00a0",n.indent),this.element)),i++,u=0,o=n[i]||Number.MAX_VALUE;c.length!=0&&(r+=c.length,u=this.$renderToken(a,u,l,c))}}},this.$renderSimpleLine=function(e,t){var n=0,r=t[0],i=r.value;this.displayIndentGuides&&(i=this.renderIndentGuide(e,i)),i&&(n=this.$renderToken(e,n,r,i));for(var s=1;sthis.MAX_LINE_LENGTH)return this.$renderOverflowMessage(e,n,r,i);n=this.$renderToken(e,n,r,i)}},this.$renderOverflowMessage=function(e,t,n,r){this.$renderToken(e,t,n,r.slice(0,this.MAX_LINE_LENGTH-t));var i=this.dom.createElement("span");i.className="ace_inline_button ace_keyword ace_toggle_wrap",i.style.position="absolute",i.style.right="0",i.textContent="",e.appendChild(i)},this.$renderLine=function(e,t,n){!n&&n!=0&&(n=this.session.getFoldLine(t));if(n)var r=this.$getFoldLineTokens(t,n);else var r=this.session.getTokens(t);var i=e;if(r.length){var s=this.session.getRowSplitData(t);if(s&&s.length){this.$renderWrappedLine(e,r,s);var i=e.lastChild}else{var i=e;this.$useLineGroups()&&(i=this.$createLineElement(),e.appendChild(i)),this.$renderSimpleLine(i,r)}}else this.$useLineGroups()&&(i=this.$createLineElement(),e.appendChild(i));if(this.showInvisibles&&i){n&&(t=n.end.row);var o=this.dom.createElement("span");o.className="ace_invisible ace_invisible_eol",o.textContent=t==this.session.getLength()-1?this.EOF_CHAR:this.EOL_CHAR,i.appendChild(o)}},this.$getFoldLineTokens=function(e,t){function i(e,t,n){var i=0,s=0;while(s+e[i].value.lengthn-t&&(o=o.substring(0,n-t)),r.push({type:e[i].type,value:o}),s=t+o.length,i+=1}while(sn?r.push({type:e[i].type,value:o.substring(0,n-s)}):r.push(e[i]),s+=o.length,i+=1}}var n=this.session,r=[],s=n.getTokens(e);return t.walk(function(e,t,o,u,a){e!=null?r.push({type:"fold",value:e}):(a&&(s=n.getTokens(t)),s.length&&i(s,u,o))},t.end.row,this.session.getLine(t.end.row).length),r},this.$useLineGroups=function(){return this.session.getUseWrapMode()},this.destroy=function(){}}).call(a.prototype),t.Text=a}),ace.define("ace/layer/cursor",["require","exports","module","ace/lib/dom"],function(e,t,n){"use strict";var r=e("../lib/dom"),i=function(e){this.element=r.createElement("div"),this.element.className="ace_layer ace_cursor-layer",e.appendChild(this.element),this.isVisible=!1,this.isBlinking=!0,this.blinkInterval=1e3,this.smoothBlinking=!1,this.cursors=[],this.cursor=this.addCursor(),r.addCssClass(this.element,"ace_hidden-cursors"),this.$updateCursors=this.$updateOpacity.bind(this)};(function(){this.$updateOpacity=function(e){var t=this.cursors;for(var n=t.length;n--;)r.setStyle(t[n].style,"opacity",e?"":"0")},this.$startCssAnimation=function(){var e=this.cursors;for(var t=e.length;t--;)e[t].style.animationDuration=this.blinkInterval+"ms";setTimeout(function(){r.addCssClass(this.element,"ace_animate-blinking")}.bind(this))},this.$stopCssAnimation=function(){r.removeCssClass(this.element,"ace_animate-blinking")},this.$padding=0,this.setPadding=function(e){this.$padding=e},this.setSession=function(e){this.session=e},this.setBlinking=function(e){e!=this.isBlinking&&(this.isBlinking=e,this.restartTimer())},this.setBlinkInterval=function(e){e!=this.blinkInterval&&(this.blinkInterval=e,this.restartTimer())},this.setSmoothBlinking=function(e){e!=this.smoothBlinking&&(this.smoothBlinking=e,r.setCssClass(this.element,"ace_smooth-blinking",e),this.$updateCursors(!0),this.restartTimer())},this.addCursor=function(){var e=r.createElement("div");return e.className="ace_cursor",this.element.appendChild(e),this.cursors.push(e),e},this.removeCursor=function(){if(this.cursors.length>1){var e=this.cursors.pop();return e.parentNode.removeChild(e),e}},this.hideCursor=function(){this.isVisible=!1,r.addCssClass(this.element,"ace_hidden-cursors"),this.restartTimer()},this.showCursor=function(){this.isVisible=!0,r.removeCssClass(this.element,"ace_hidden-cursors"),this.restartTimer()},this.restartTimer=function(){var e=this.$updateCursors;clearInterval(this.intervalId),clearTimeout(this.timeoutId),this.$stopCssAnimation(),this.smoothBlinking&&r.removeCssClass(this.element,"ace_smooth-blinking"),e(!0);if(!this.isBlinking||!this.blinkInterval||!this.isVisible){this.$stopCssAnimation();return}this.smoothBlinking&&setTimeout(function(){r.addCssClass(this.element,"ace_smooth-blinking")}.bind(this));if(r.HAS_CSS_ANIMATION)this.$startCssAnimation();else{var t=function(){this.timeoutId=setTimeout(function(){e(!1)},.6*this.blinkInterval)}.bind(this);this.intervalId=setInterval(function(){e(!0),t()},this.blinkInterval),t()}},this.getPixelPosition=function(e,t){if(!this.config||!this.session)return{left:0,top:0};e||(e=this.session.selection.getCursor());var n=this.session.documentToScreenPosition(e),r=this.$padding+(this.session.$bidiHandler.isBidiRow(n.row,e.row)?this.session.$bidiHandler.getPosLeft(n.column):n.column*this.config.characterWidth),i=(n.row-(t?this.config.firstRowScreen:0))*this.config.lineHeight;return{left:r,top:i}},this.isCursorInView=function(e,t){return e.top>=0&&e.tope.height+e.offset||o.top<0)&&n>1)continue;var u=this.cursors[i++]||this.addCursor(),a=u.style;this.drawCursor?this.drawCursor(u,o,e,t[n],this.session):this.isCursorInView(o,e)?(r.setStyle(a,"display","block"),r.translate(u,o.left,o.top),r.setStyle(a,"width",Math.round(e.characterWidth)+"px"),r.setStyle(a,"height",e.lineHeight+"px")):r.setStyle(a,"display","none")}while(this.cursors.length>i)this.removeCursor();var f=this.session.getOverwrite();this.$setOverwrite(f),this.$pixelPos=o,this.restartTimer()},this.drawCursor=null,this.$setOverwrite=function(e){e!=this.overwrite&&(this.overwrite=e,e?r.addCssClass(this.element,"ace_overwrite-cursors"):r.removeCssClass(this.element,"ace_overwrite-cursors"))},this.destroy=function(){clearInterval(this.intervalId),clearTimeout(this.timeoutId)}}).call(i.prototype),t.Cursor=i}),ace.define("ace/scrollbar",["require","exports","module","ace/lib/oop","ace/lib/dom","ace/lib/event","ace/lib/event_emitter"],function(e,t,n){"use strict";var r=e("./lib/oop"),i=e("./lib/dom"),s=e("./lib/event"),o=e("./lib/event_emitter").EventEmitter,u=32768,a=function(e){this.element=i.createElement("div"),this.element.className="ace_scrollbar ace_scrollbar"+this.classSuffix,this.inner=i.createElement("div"),this.inner.className="ace_scrollbar-inner",this.element.appendChild(this.inner),e.appendChild(this.element),this.setVisible(!1),this.skipEvent=!1,s.addListener(this.element,"scroll",this.onScroll.bind(this)),s.addListener(this.element,"mousedown",s.preventDefault)};(function(){r.implement(this,o),this.setVisible=function(e){this.element.style.display=e?"":"none",this.isVisible=e,this.coeff=1}}).call(a.prototype);var f=function(e,t){a.call(this,e),this.scrollTop=0,this.scrollHeight=0,t.$scrollbarWidth=this.width=i.scrollbarWidth(e.ownerDocument),this.inner.style.width=this.element.style.width=(this.width||15)+5+"px",this.$minWidth=0};r.inherits(f,a),function(){this.classSuffix="-v",this.onScroll=function(){if(!this.skipEvent){this.scrollTop=this.element.scrollTop;if(this.coeff!=1){var e=this.element.clientHeight/this.scrollHeight;this.scrollTop=this.scrollTop*(1-e)/(this.coeff-e)}this._emit("scroll",{data:this.scrollTop})}this.skipEvent=!1},this.getWidth=function(){return Math.max(this.isVisible?this.width:0,this.$minWidth||0)},this.setHeight=function(e){this.element.style.height=e+"px"},this.setInnerHeight=this.setScrollHeight=function(e){this.scrollHeight=e,e>u?(this.coeff=u/e,e=u):this.coeff!=1&&(this.coeff=1),this.inner.style.height=e+"px"},this.setScrollTop=function(e){this.scrollTop!=e&&(this.skipEvent=!0,this.scrollTop=e,this.element.scrollTop=e*this.coeff)}}.call(f.prototype);var l=function(e,t){a.call(this,e),this.scrollLeft=0,this.height=t.$scrollbarWidth,this.inner.style.height=this.element.style.height=(this.height||15)+5+"px"};r.inherits(l,a),function(){this.classSuffix="-h",this.onScroll=function(){this.skipEvent||(this.scrollLeft=this.element.scrollLeft,this._emit("scroll",{data:this.scrollLeft})),this.skipEvent=!1},this.getHeight=function(){return this.isVisible?this.height:0},this.setWidth=function(e){this.element.style.width=e+"px"},this.setInnerWidth=function(e){this.inner.style.width=e+"px"},this.setScrollWidth=function(e){this.inner.style.width=e+"px"},this.setScrollLeft=function(e){this.scrollLeft!=e&&(this.skipEvent=!0,this.scrollLeft=this.element.scrollLeft=e)}}.call(l.prototype),t.ScrollBar=f,t.ScrollBarV=f,t.ScrollBarH=l,t.VScrollBar=f,t.HScrollBar=l}),ace.define("ace/renderloop",["require","exports","module","ace/lib/event"],function(e,t,n){"use strict";var r=e("./lib/event"),i=function(e,t){this.onRender=e,this.pending=!1,this.changes=0,this.$recursionLimit=2,this.window=t||window;var n=this;this._flush=function(e){n.pending=!1;var t=n.changes;t&&(r.blockIdle(100),n.changes=0,n.onRender(t));if(n.changes){if(n.$recursionLimit--<0)return;n.schedule()}else n.$recursionLimit=2}};(function(){this.schedule=function(e){this.changes=this.changes|e,this.changes&&!this.pending&&(r.nextFrame(this._flush),this.pending=!0)},this.clear=function(e){var t=this.changes;return this.changes=0,t}}).call(i.prototype),t.RenderLoop=i}),ace.define("ace/layer/font_metrics",["require","exports","module","ace/lib/oop","ace/lib/dom","ace/lib/lang","ace/lib/event","ace/lib/useragent","ace/lib/event_emitter"],function(e,t,n){var r=e("../lib/oop"),i=e("../lib/dom"),s=e("../lib/lang"),o=e("../lib/event"),u=e("../lib/useragent"),a=e("../lib/event_emitter").EventEmitter,f=256,l=typeof ResizeObserver=="function",c=200,h=t.FontMetrics=function(e){this.el=i.createElement("div"),this.$setMeasureNodeStyles(this.el.style,!0),this.$main=i.createElement("div"),this.$setMeasureNodeStyles(this.$main.style),this.$measureNode=i.createElement("div"),this.$setMeasureNodeStyles(this.$measureNode.style),this.el.appendChild(this.$main),this.el.appendChild(this.$measureNode),e.appendChild(this.el),this.$measureNode.innerHTML=s.stringRepeat("X",f),this.$characterSize={width:0,height:0},l?this.$addObserver():this.checkForSizeChanges()};(function(){r.implement(this,a),this.$characterSize={width:0,height:0},this.$setMeasureNodeStyles=function(e,t){e.width=e.height="auto",e.left=e.top="0px",e.visibility="hidden",e.position="absolute",e.whiteSpace="pre",u.isIE<8?e["font-family"]="inherit":e.font="inherit",e.overflow=t?"hidden":"visible"},this.checkForSizeChanges=function(e){e===undefined&&(e=this.$measureSizes());if(e&&(this.$characterSize.width!==e.width||this.$characterSize.height!==e.height)){this.$measureNode.style.fontWeight="bold";var t=this.$measureSizes();this.$measureNode.style.fontWeight="",this.$characterSize=e,this.charSizes=Object.create(null),this.allowBoldFonts=t&&t.width===e.width&&t.height===e.height,this._emit("changeCharacterSize",{data:e})}},this.$addObserver=function(){var e=this;this.$observer=new window.ResizeObserver(function(t){var n=t[0].contentRect;e.checkForSizeChanges({height:n.height,width:n.width/f})}),this.$observer.observe(this.$measureNode)},this.$pollSizeChanges=function(){if(this.$pollSizeChangesTimer||this.$observer)return this.$pollSizeChangesTimer;var e=this;return this.$pollSizeChangesTimer=o.onIdle(function t(){e.checkForSizeChanges(),o.onIdle(t,500)},500)},this.setPolling=function(e){e?this.$pollSizeChanges():this.$pollSizeChangesTimer&&(clearInterval(this.$pollSizeChangesTimer),this.$pollSizeChangesTimer=0)},this.$measureSizes=function(e){var t={height:(e||this.$measureNode).clientHeight,width:(e||this.$measureNode).clientWidth/f};return t.width===0||t.height===0?null:t},this.$measureCharWidth=function(e){this.$main.innerHTML=s.stringRepeat(e,f);var t=this.$main.getBoundingClientRect();return t.width/f},this.getCharacterWidth=function(e){var t=this.charSizes[e];return t===undefined&&(t=this.charSizes[e]=this.$measureCharWidth(e)/this.$characterSize.width),t},this.destroy=function(){clearInterval(this.$pollSizeChangesTimer),this.$observer&&this.$observer.disconnect(),this.el&&this.el.parentNode&&this.el.parentNode.removeChild(this.el)},this.$getZoom=function e(t){return t?(window.getComputedStyle(t).zoom||1)*e(t.parentElement):1},this.$initTransformMeasureNodes=function(){var e=function(e,t){return["div",{style:"position: absolute;top:"+e+"px;left:"+t+"px;"}]};this.els=i.buildDom([e(0,0),e(c,0),e(0,c),e(c,c)],this.el)},this.transformCoordinates=function(e,t){function r(e,t,n){var r=e[1]*t[0]-e[0]*t[1];return[(-t[1]*n[0]+t[0]*n[1])/r,(+e[1]*n[0]-e[0]*n[1])/r]}function i(e,t){return[e[0]-t[0],e[1]-t[1]]}function s(e,t){return[e[0]+t[0],e[1]+t[1]]}function o(e,t){return[e*t[0],e*t[1]]}function u(e){var t=e.getBoundingClientRect();return[t.left,t.top]}if(e){var n=this.$getZoom(this.el);e=o(1/n,e)}this.els||this.$initTransformMeasureNodes();var a=u(this.els[0]),f=u(this.els[1]),l=u(this.els[2]),h=u(this.els[3]),p=r(i(h,f),i(h,l),i(s(f,l),s(h,a))),d=o(1+p[0],i(f,a)),v=o(1+p[1],i(l,a));if(t){var m=t,g=p[0]*m[0]/c+p[1]*m[1]/c+1,y=s(o(m[0],d),o(m[1],v));return s(o(1/g/c,y),a)}var b=i(e,a),w=r(i(d,o(p[0],b)),i(v,o(p[1],b)),b);return o(c,w)}}).call(h.prototype)}),ace.define("ace/virtual_renderer",["require","exports","module","ace/lib/oop","ace/lib/dom","ace/config","ace/layer/gutter","ace/layer/marker","ace/layer/text","ace/layer/cursor","ace/scrollbar","ace/scrollbar","ace/renderloop","ace/layer/font_metrics","ace/lib/event_emitter","ace/lib/useragent"],function(e,t,n){"use strict";var r=e("./lib/oop"),i=e("./lib/dom"),s=e("./config"),o=e("./layer/gutter").Gutter,u=e("./layer/marker").Marker,a=e("./layer/text").Text,f=e("./layer/cursor").Cursor,l=e("./scrollbar").HScrollBar,c=e("./scrollbar").VScrollBar,h=e("./renderloop").RenderLoop,p=e("./layer/font_metrics").FontMetrics,d=e("./lib/event_emitter").EventEmitter,v='.ace_br1 {border-top-left-radius : 3px;}.ace_br2 {border-top-right-radius : 3px;}.ace_br3 {border-top-left-radius : 3px; border-top-right-radius: 3px;}.ace_br4 {border-bottom-right-radius: 3px;}.ace_br5 {border-top-left-radius : 3px; border-bottom-right-radius: 3px;}.ace_br6 {border-top-right-radius : 3px; border-bottom-right-radius: 3px;}.ace_br7 {border-top-left-radius : 3px; border-top-right-radius: 3px; border-bottom-right-radius: 3px;}.ace_br8 {border-bottom-left-radius : 3px;}.ace_br9 {border-top-left-radius : 3px; border-bottom-left-radius: 3px;}.ace_br10{border-top-right-radius : 3px; border-bottom-left-radius: 3px;}.ace_br11{border-top-left-radius : 3px; border-top-right-radius: 3px; border-bottom-left-radius: 3px;}.ace_br12{border-bottom-right-radius: 3px; border-bottom-left-radius: 3px;}.ace_br13{border-top-left-radius : 3px; border-bottom-right-radius: 3px; border-bottom-left-radius: 3px;}.ace_br14{border-top-right-radius : 3px; border-bottom-right-radius: 3px; border-bottom-left-radius: 3px;}.ace_br15{border-top-left-radius : 3px; border-top-right-radius: 3px; border-bottom-right-radius: 3px; border-bottom-left-radius: 3px;}.ace_editor {position: relative;overflow: hidden;font: 12px/normal \'Monaco\', \'Menlo\', \'Ubuntu Mono\', \'Consolas\', \'source-code-pro\', monospace;direction: ltr;text-align: left;-webkit-tap-highlight-color: rgba(0, 0, 0, 0);}.ace_scroller {position: absolute;overflow: hidden;top: 0;bottom: 0;background-color: inherit;-ms-user-select: none;-moz-user-select: none;-webkit-user-select: none;user-select: none;cursor: text;}.ace_content {position: absolute;box-sizing: border-box;min-width: 100%;contain: 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1em;opacity: 0;background: transparent;-moz-appearance: none;appearance: none;border: none;resize: none;outline: none;overflow: hidden;font: inherit;padding: 0 1px;margin: 0 -1px;contain: strict;-ms-user-select: text;-moz-user-select: text;-webkit-user-select: text;user-select: text;white-space: pre!important;}.ace_text-input.ace_composition {background: transparent;color: inherit;z-index: 1000;opacity: 1;}.ace_composition_placeholder { color: transparent }.ace_composition_marker { border-bottom: 1px solid;position: absolute;border-radius: 0;margin-top: 1px;}[ace_nocontext=true] {transform: none!important;filter: none!important;perspective: none!important;clip-path: none!important;mask : none!important;contain: none!important;perspective: none!important;mix-blend-mode: initial!important;z-index: auto;}.ace_layer {z-index: 1;position: absolute;overflow: hidden;word-wrap: normal;white-space: pre;height: 100%;width: 100%;box-sizing: border-box;pointer-events: none;}.ace_gutter-layer 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normal;font-weight: normal;letter-spacing: normal;pointer-events: none;}.ace_folding-enabled > .ace_gutter-cell {padding-right: 13px;}.ace_fold-widget {box-sizing: border-box;margin: 0 -12px 0 1px;display: none;width: 11px;vertical-align: top;background-image: url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAANElEQVR42mWKsQ0AMAzC8ixLlrzQjzmBiEjp0A6WwBCSPgKAXoLkqSot7nN3yMwR7pZ32NzpKkVoDBUxKAAAAABJRU5ErkJggg==");background-repeat: no-repeat;background-position: center;border-radius: 3px;border: 1px solid transparent;cursor: pointer;}.ace_folding-enabled .ace_fold-widget {display: inline-block; }.ace_fold-widget.ace_end {background-image: url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAANElEQVR42m3HwQkAMAhD0YzsRchFKI7sAikeWkrxwScEB0nh5e7KTPWimZki4tYfVbX+MNl4pyZXejUO1QAAAABJRU5ErkJggg==");}.ace_fold-widget.ace_closed {background-image: 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url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAMAAAAFCAYAAACAcVaiAAAAHElEQVQIW2P4//+/AxAzgDADlOOAznHAKgPWAwARji8UIDTfQQAAAABJRU5ErkJggg==");}.ace_dark .ace_fold-widget:hover {box-shadow: 0 1px 1px rgba(255, 255, 255, 0.2);background-color: rgba(255, 255, 255, 0.1);}.ace_dark .ace_fold-widget:active {box-shadow: 0 1px 1px rgba(255, 255, 255, 0.2);}.ace_inline_button {border: 1px solid lightgray;display: inline-block;margin: -1px 8px;padding: 0 5px;pointer-events: auto;cursor: pointer;}.ace_inline_button:hover {border-color: gray;background: rgba(200,200,200,0.2);display: inline-block;pointer-events: auto;}.ace_fold-widget.ace_invalid {background-color: #FFB4B4;border-color: #DE5555;}.ace_fade-fold-widgets .ace_fold-widget {transition: opacity 0.4s ease 0.05s;opacity: 0;}.ace_fade-fold-widgets:hover .ace_fold-widget {transition: opacity 0.05s ease 0.05s;opacity:1;}.ace_underline {text-decoration: underline;}.ace_bold {font-weight: bold;}.ace_nobold .ace_bold {font-weight: normal;}.ace_italic {font-style: italic;}.ace_error-marker {background-color: rgba(255, 0, 0,0.2);position: absolute;z-index: 9;}.ace_highlight-marker {background-color: rgba(255, 255, 0,0.2);position: absolute;z-index: 8;}',m=e("./lib/useragent"),g=m.isIE;i.importCssString(v,"ace_editor.css");var y=function(e,t){var n=this;this.container=e||i.createElement("div"),i.addCssClass(this.container,"ace_editor"),i.HI_DPI&&i.addCssClass(this.container,"ace_hidpi"),this.setTheme(t),this.$gutter=i.createElement("div"),this.$gutter.className="ace_gutter",this.container.appendChild(this.$gutter),this.$gutter.setAttribute("aria-hidden",!0),this.scroller=i.createElement("div"),this.scroller.className="ace_scroller",this.container.appendChild(this.scroller),this.content=i.createElement("div"),this.content.className="ace_content",this.scroller.appendChild(this.content),this.$gutterLayer=new o(this.$gutter),this.$gutterLayer.on("changeGutterWidth",this.onGutterResize.bind(this)),this.$markerBack=new u(this.content);var r=this.$textLayer=new a(this.content);this.canvas=r.element,this.$markerFront=new u(this.content),this.$cursorLayer=new f(this.content),this.$horizScroll=!1,this.$vScroll=!1,this.scrollBar=this.scrollBarV=new c(this.container,this),this.scrollBarH=new l(this.container,this),this.scrollBarV.addEventListener("scroll",function(e){n.$scrollAnimation||n.session.setScrollTop(e.data-n.scrollMargin.top)}),this.scrollBarH.addEventListener("scroll",function(e){n.$scrollAnimation||n.session.setScrollLeft(e.data-n.scrollMargin.left)}),this.scrollTop=0,this.scrollLeft=0,this.cursorPos={row:0,column:0},this.$fontMetrics=new p(this.container),this.$textLayer.$setFontMetrics(this.$fontMetrics),this.$textLayer.addEventListener("changeCharacterSize",function(e){n.updateCharacterSize(),n.onResize(!0,n.gutterWidth,n.$size.width,n.$size.height),n._signal("changeCharacterSize",e)}),this.$size={width:0,height:0,scrollerHeight:0,scrollerWidth:0,$dirty:!0},this.layerConfig={width:1,padding:0,firstRow:0,firstRowScreen:0,lastRow:0,lineHeight:0,characterWidth:0,minHeight:1,maxHeight:1,offset:0,height:1,gutterOffset:1},this.scrollMargin={left:0,right:0,top:0,bottom:0,v:0,h:0},this.margin={left:0,right:0,top:0,bottom:0,v:0,h:0},this.$keepTextAreaAtCursor=!m.isIOS,this.$loop=new h(this.$renderChanges.bind(this),this.container.ownerDocument.defaultView),this.$loop.schedule(this.CHANGE_FULL),this.updateCharacterSize(),this.setPadding(4),s.resetOptions(this),s._emit("renderer",this)};(function(){this.CHANGE_CURSOR=1,this.CHANGE_MARKER=2,this.CHANGE_GUTTER=4,this.CHANGE_SCROLL=8,this.CHANGE_LINES=16,this.CHANGE_TEXT=32,this.CHANGE_SIZE=64,this.CHANGE_MARKER_BACK=128,this.CHANGE_MARKER_FRONT=256,this.CHANGE_FULL=512,this.CHANGE_H_SCROLL=1024,r.implement(this,d),this.updateCharacterSize=function(){this.$textLayer.allowBoldFonts!=this.$allowBoldFonts&&(this.$allowBoldFonts=this.$textLayer.allowBoldFonts,this.setStyle("ace_nobold",!this.$allowBoldFonts)),this.layerConfig.characterWidth=this.characterWidth=this.$textLayer.getCharacterWidth(),this.layerConfig.lineHeight=this.lineHeight=this.$textLayer.getLineHeight(),this.$updatePrintMargin()},this.setSession=function(e){this.session&&this.session.doc.off("changeNewLineMode",this.onChangeNewLineMode),this.session=e,e&&this.scrollMargin.top&&e.getScrollTop()<=0&&e.setScrollTop(-this.scrollMargin.top),this.$cursorLayer.setSession(e),this.$markerBack.setSession(e),this.$markerFront.setSession(e),this.$gutterLayer.setSession(e),this.$textLayer.setSession(e);if(!e)return;this.$loop.schedule(this.CHANGE_FULL),this.session.$setFontMetrics(this.$fontMetrics),this.scrollBarH.scrollLeft=this.scrollBarV.scrollTop=null,this.onChangeNewLineMode=this.onChangeNewLineMode.bind(this),this.onChangeNewLineMode(),this.session.doc.on("changeNewLineMode",this.onChangeNewLineMode)},this.updateLines=function(e,t,n){t===undefined&&(t=Infinity),this.$changedLines?(this.$changedLines.firstRow>e&&(this.$changedLines.firstRow=e),this.$changedLines.lastRowthis.layerConfig.lastRow)return;this.$loop.schedule(this.CHANGE_LINES)},this.onChangeNewLineMode=function(){this.$loop.schedule(this.CHANGE_TEXT),this.$textLayer.$updateEolChar(),this.session.$bidiHandler.setEolChar(this.$textLayer.EOL_CHAR)},this.onChangeTabSize=function(){this.$loop.schedule(this.CHANGE_TEXT|this.CHANGE_MARKER),this.$textLayer.onChangeTabSize()},this.updateText=function(){this.$loop.schedule(this.CHANGE_TEXT)},this.updateFull=function(e){e?this.$renderChanges(this.CHANGE_FULL,!0):this.$loop.schedule(this.CHANGE_FULL)},this.updateFontSize=function(){this.$textLayer.checkForSizeChanges()},this.$changes=0,this.$updateSizeAsync=function(){this.$loop.pending?this.$size.$dirty=!0:this.onResize()},this.onResize=function(e,t,n,r){if(this.resizing>2)return;this.resizing>0?this.resizing++:this.resizing=e?1:0;var i=this.container;r||(r=i.clientHeight||i.scrollHeight),n||(n=i.clientWidth||i.scrollWidth);var s=this.$updateCachedSize(e,t,n,r);if(!this.$size.scrollerHeight||!n&&!r)return this.resizing=0;e&&(this.$gutterLayer.$padding=null),e?this.$renderChanges(s|this.$changes,!0):this.$loop.schedule(s|this.$changes),this.resizing&&(this.resizing=0),this.scrollBarV.scrollLeft=this.scrollBarV.scrollTop=null},this.$updateCachedSize=function(e,t,n,r){r-=this.$extraHeight||0;var s=0,o=this.$size,u={width:o.width,height:o.height,scrollerHeight:o.scrollerHeight,scrollerWidth:o.scrollerWidth};r&&(e||o.height!=r)&&(o.height=r,s|=this.CHANGE_SIZE,o.scrollerHeight=o.height,this.$horizScroll&&(o.scrollerHeight-=this.scrollBarH.getHeight()),this.scrollBarV.element.style.bottom=this.scrollBarH.getHeight()+"px",s|=this.CHANGE_SCROLL);if(n&&(e||o.width!=n)){s|=this.CHANGE_SIZE,o.width=n,t==null&&(t=this.$showGutter?this.$gutter.offsetWidth:0),this.gutterWidth=t,i.setStyle(this.scrollBarH.element.style,"left",t+"px"),i.setStyle(this.scroller.style,"left",t+this.margin.left+"px"),o.scrollerWidth=Math.max(0,n-t-this.scrollBarV.getWidth()-this.margin.h),i.setStyle(this.$gutter.style,"left",this.margin.left+"px");var a=this.scrollBarV.getWidth()+"px";i.setStyle(this.scrollBarH.element.style,"right",a),i.setStyle(this.scroller.style,"right",a),i.setStyle(this.scroller.style,"bottom",this.scrollBarH.getHeight());if(this.session&&this.session.getUseWrapMode()&&this.adjustWrapLimit()||e)s|=this.CHANGE_FULL}return o.$dirty=!n||!r,s&&this._signal("resize",u),s},this.onGutterResize=function(e){var t=this.$showGutter?e:0;t!=this.gutterWidth&&(this.$changes|=this.$updateCachedSize(!0,t,this.$size.width,this.$size.height)),this.session.getUseWrapMode()&&this.adjustWrapLimit()?this.$loop.schedule(this.CHANGE_FULL):this.$size.$dirty?this.$loop.schedule(this.CHANGE_FULL):this.$computeLayerConfig()},this.adjustWrapLimit=function(){var e=this.$size.scrollerWidth-this.$padding*2,t=Math.floor(e/this.characterWidth);return this.session.adjustWrapLimit(t,this.$showPrintMargin&&this.$printMarginColumn)},this.setAnimatedScroll=function(e){this.setOption("animatedScroll",e)},this.getAnimatedScroll=function(){return this.$animatedScroll},this.setShowInvisibles=function(e){this.setOption("showInvisibles",e),this.session.$bidiHandler.setShowInvisibles(e)},this.getShowInvisibles=function(){return this.getOption("showInvisibles")},this.getDisplayIndentGuides=function(){return this.getOption("displayIndentGuides")},this.setDisplayIndentGuides=function(e){this.setOption("displayIndentGuides",e)},this.setShowPrintMargin=function(e){this.setOption("showPrintMargin",e)},this.getShowPrintMargin=function(){return this.getOption("showPrintMargin")},this.setPrintMarginColumn=function(e){this.setOption("printMarginColumn",e)},this.getPrintMarginColumn=function(){return this.getOption("printMarginColumn")},this.getShowGutter=function(){return this.getOption("showGutter")},this.setShowGutter=function(e){return this.setOption("showGutter",e)},this.getFadeFoldWidgets=function(){return this.getOption("fadeFoldWidgets")},this.setFadeFoldWidgets=function(e){this.setOption("fadeFoldWidgets",e)},this.setHighlightGutterLine=function(e){this.setOption("highlightGutterLine",e)},this.getHighlightGutterLine=function(){return this.getOption("highlightGutterLine")},this.$updatePrintMargin=function(){if(!this.$showPrintMargin&&!this.$printMarginEl)return;if(!this.$printMarginEl){var e=i.createElement("div");e.className="ace_layer ace_print-margin-layer",this.$printMarginEl=i.createElement("div"),this.$printMarginEl.className="ace_print-margin",e.appendChild(this.$printMarginEl),this.content.insertBefore(e,this.content.firstChild)}var t=this.$printMarginEl.style;t.left=Math.round(this.characterWidth*this.$printMarginColumn+this.$padding)+"px",t.visibility=this.$showPrintMargin?"visible":"hidden",this.session&&this.session.$wrap==-1&&this.adjustWrapLimit()},this.getContainerElement=function(){return this.container},this.getMouseEventTarget=function(){return this.scroller},this.getTextAreaContainer=function(){return this.container},this.$moveTextAreaToCursor=function(){var e=this.textarea.style;if(!this.$keepTextAreaAtCursor){i.translate(this.textarea,-100,0);return}var t=this.$cursorLayer.$pixelPos;if(!t)return;var n=this.$composition;n&&n.markerRange&&(t=this.$cursorLayer.getPixelPosition(n.markerRange.start,!0));var r=this.layerConfig,s=t.top,o=t.left;s-=r.offset;var u=n&&n.useTextareaForIME?this.lineHeight:g?0:1;if(s<0||s>r.height-u){i.translate(this.textarea,0,0);return}var a=1;if(!n)s+=this.lineHeight;else if(n.useTextareaForIME){var f=this.textarea.value;a=this.characterWidth*this.session.$getStringScreenWidth(f)[0],u+=2}else s+=this.lineHeight+2;o-=this.scrollLeft,o>this.$size.scrollerWidth-a&&(o=this.$size.scrollerWidth-a),o+=this.gutterWidth+this.margin.left,i.setStyle(e,"height",u+"px"),i.setStyle(e,"width",a+"px"),i.translate(this.textarea,Math.min(o,this.$size.scrollerWidth-a),Math.min(s,this.$size.height-u))},this.getFirstVisibleRow=function(){return this.layerConfig.firstRow},this.getFirstFullyVisibleRow=function(){return this.layerConfig.firstRow+(this.layerConfig.offset===0?0:1)},this.getLastFullyVisibleRow=function(){var e=this.layerConfig,t=e.lastRow,n=this.session.documentToScreenRow(t,0)*e.lineHeight;return n-this.session.getScrollTop()>e.height-e.lineHeight?t-1:t},this.getLastVisibleRow=function(){return this.layerConfig.lastRow},this.$padding=null,this.setPadding=function(e){this.$padding=e,this.$textLayer.setPadding(e),this.$cursorLayer.setPadding(e),this.$markerFront.setPadding(e),this.$markerBack.setPadding(e),this.$loop.schedule(this.CHANGE_FULL),this.$updatePrintMargin()},this.setScrollMargin=function(e,t,n,r){var i=this.scrollMargin;i.top=e|0,i.bottom=t|0,i.right=r|0,i.left=n|0,i.v=i.top+i.bottom,i.h=i.left+i.right,i.top&&this.scrollTop<=0&&this.session&&this.session.setScrollTop(-i.top),this.updateFull()},this.setMargin=function(e,t,n,r){var i=this.margin;i.top=e|0,i.bottom=t|0,i.right=r|0,i.left=n|0,i.v=i.top+i.bottom,i.h=i.left+i.right,this.$updateCachedSize(!0,this.gutterWidth,this.$size.width,this.$size.height),this.updateFull()},this.getHScrollBarAlwaysVisible=function(){return this.$hScrollBarAlwaysVisible},this.setHScrollBarAlwaysVisible=function(e){this.setOption("hScrollBarAlwaysVisible",e)},this.getVScrollBarAlwaysVisible=function(){return this.$vScrollBarAlwaysVisible},this.setVScrollBarAlwaysVisible=function(e){this.setOption("vScrollBarAlwaysVisible",e)},this.$updateScrollBarV=function(){var e=this.layerConfig.maxHeight,t=this.$size.scrollerHeight;!this.$maxLines&&this.$scrollPastEnd&&(e-=(t-this.lineHeight)*this.$scrollPastEnd,this.scrollTop>e-t&&(e=this.scrollTop+t,this.scrollBarV.scrollTop=null)),this.scrollBarV.setScrollHeight(e+this.scrollMargin.v),this.scrollBarV.setScrollTop(this.scrollTop+this.scrollMargin.top)},this.$updateScrollBarH=function(){this.scrollBarH.setScrollWidth(this.layerConfig.width+2*this.$padding+this.scrollMargin.h),this.scrollBarH.setScrollLeft(this.scrollLeft+this.scrollMargin.left)},this.$frozen=!1,this.freeze=function(){this.$frozen=!0},this.unfreeze=function(){this.$frozen=!1},this.$renderChanges=function(e,t){this.$changes&&(e|=this.$changes,this.$changes=0);if(!this.session||!this.container.offsetWidth||this.$frozen||!e&&!t){this.$changes|=e;return}if(this.$size.$dirty)return this.$changes|=e,this.onResize(!0);this.lineHeight||this.$textLayer.checkForSizeChanges(),this._signal("beforeRender"),this.session&&this.session.$bidiHandler&&this.session.$bidiHandler.updateCharacterWidths(this.$fontMetrics);var n=this.layerConfig;if(e&this.CHANGE_FULL||e&this.CHANGE_SIZE||e&this.CHANGE_TEXT||e&this.CHANGE_LINES||e&this.CHANGE_SCROLL||e&this.CHANGE_H_SCROLL){e|=this.$computeLayerConfig()|this.$loop.clear();if(n.firstRow!=this.layerConfig.firstRow&&n.firstRowScreen==this.layerConfig.firstRowScreen){var r=this.scrollTop+(n.firstRow-this.layerConfig.firstRow)*this.lineHeight;r>0&&(this.scrollTop=r,e|=this.CHANGE_SCROLL,e|=this.$computeLayerConfig()|this.$loop.clear())}n=this.layerConfig,this.$updateScrollBarV(),e&this.CHANGE_H_SCROLL&&this.$updateScrollBarH(),i.translate(this.content,-this.scrollLeft,-n.offset);var s=n.width+2*this.$padding+"px",o=n.minHeight+"px";i.setStyle(this.content.style,"width",s),i.setStyle(this.content.style,"height",o)}e&this.CHANGE_H_SCROLL&&(i.translate(this.content,-this.scrollLeft,-n.offset),this.scroller.className=this.scrollLeft<=0?"ace_scroller":"ace_scroller ace_scroll-left");if(e&this.CHANGE_FULL){this.$textLayer.update(n),this.$showGutter&&this.$gutterLayer.update(n),this.$markerBack.update(n),this.$markerFront.update(n),this.$cursorLayer.update(n),this.$moveTextAreaToCursor(),this._signal("afterRender");return}if(e&this.CHANGE_SCROLL){e&this.CHANGE_TEXT||e&this.CHANGE_LINES?this.$textLayer.update(n):this.$textLayer.scrollLines(n),this.$showGutter&&(e&this.CHANGE_GUTTER||e&this.CHANGE_LINES?this.$gutterLayer.update(n):this.$gutterLayer.scrollLines(n)),this.$markerBack.update(n),this.$markerFront.update(n),this.$cursorLayer.update(n),this.$moveTextAreaToCursor(),this._signal("afterRender");return}e&this.CHANGE_TEXT?(this.$textLayer.update(n),this.$showGutter&&this.$gutterLayer.update(n)):e&this.CHANGE_LINES?(this.$updateLines()||e&this.CHANGE_GUTTER&&this.$showGutter)&&this.$gutterLayer.update(n):e&this.CHANGE_TEXT||e&this.CHANGE_GUTTER?this.$showGutter&&this.$gutterLayer.update(n):e&this.CHANGE_CURSOR&&this.$highlightGutterLine&&this.$gutterLayer.updateLineHighlight(n),e&this.CHANGE_CURSOR&&(this.$cursorLayer.update(n),this.$moveTextAreaToCursor()),e&(this.CHANGE_MARKER|this.CHANGE_MARKER_FRONT)&&this.$markerFront.update(n),e&(this.CHANGE_MARKER|this.CHANGE_MARKER_BACK)&&this.$markerBack.update(n),this._signal("afterRender")},this.$autosize=function(){var e=this.session.getScreenLength()*this.lineHeight,t=this.$maxLines*this.lineHeight,n=Math.min(t,Math.max((this.$minLines||1)*this.lineHeight,e))+this.scrollMargin.v+(this.$extraHeight||0);this.$horizScroll&&(n+=this.scrollBarH.getHeight()),this.$maxPixelHeight&&n>this.$maxPixelHeight&&(n=this.$maxPixelHeight);var r=n<=2*this.lineHeight,i=!r&&e>t;if(n!=this.desiredHeight||this.$size.height!=this.desiredHeight||i!=this.$vScroll){i!=this.$vScroll&&(this.$vScroll=i,this.scrollBarV.setVisible(i));var s=this.container.clientWidth;this.container.style.height=n+"px",this.$updateCachedSize(!0,this.$gutterWidth,s,n),this.desiredHeight=n,this._signal("autosize")}},this.$computeLayerConfig=function(){var e=this.session,t=this.$size,n=t.height<=2*this.lineHeight,r=this.session.getScreenLength(),i=r*this.lineHeight,s=this.$getLongestLine(),o=!n&&(this.$hScrollBarAlwaysVisible||t.scrollerWidth-s-2*this.$padding<0),u=this.$horizScroll!==o;u&&(this.$horizScroll=o,this.scrollBarH.setVisible(o));var a=this.$vScroll;this.$maxLines&&this.lineHeight>1&&this.$autosize();var f=t.scrollerHeight+this.lineHeight,l=!this.$maxLines&&this.$scrollPastEnd?(t.scrollerHeight-this.lineHeight)*this.$scrollPastEnd:0;i+=l;var c=this.scrollMargin;this.session.setScrollTop(Math.max(-c.top,Math.min(this.scrollTop,i-t.scrollerHeight+c.bottom))),this.session.setScrollLeft(Math.max(-c.left,Math.min(this.scrollLeft,s+2*this.$padding-t.scrollerWidth+c.right)));var h=!n&&(this.$vScrollBarAlwaysVisible||t.scrollerHeight-i+l<0||this.scrollTop>c.top),p=a!==h;p&&(this.$vScroll=h,this.scrollBarV.setVisible(h));var d=this.scrollTop%this.lineHeight,v=Math.ceil(f/this.lineHeight)-1,m=Math.max(0,Math.round((this.scrollTop-d)/this.lineHeight)),g=m+v,y,b,w=this.lineHeight;m=e.screenToDocumentRow(m,0);var E=e.getFoldLine(m);E&&(m=E.start.row),y=e.documentToScreenRow(m,0),b=e.getRowLength(m)*w,g=Math.min(e.screenToDocumentRow(g,0),e.getLength()-1),f=t.scrollerHeight+e.getRowLength(g)*w+b,d=this.scrollTop-y*w;var S=0;if(this.layerConfig.width!=s||u)S=this.CHANGE_H_SCROLL;if(u||p)S|=this.$updateCachedSize(!0,this.gutterWidth,t.width,t.height),this._signal("scrollbarVisibilityChanged"),p&&(s=this.$getLongestLine());return this.layerConfig={width:s,padding:this.$padding,firstRow:m,firstRowScreen:y,lastRow:g,lineHeight:w,characterWidth:this.characterWidth,minHeight:f,maxHeight:i,offset:d,gutterOffset:w?Math.max(0,Math.ceil((d+t.height-t.scrollerHeight)/w)):0,height:this.$size.scrollerHeight},this.session.$bidiHandler&&this.session.$bidiHandler.setContentWidth(s-this.$padding),S},this.$updateLines=function(){if(!this.$changedLines)return;var e=this.$changedLines.firstRow,t=this.$changedLines.lastRow;this.$changedLines=null;var n=this.layerConfig;if(e>n.lastRow+1)return;if(tthis.$textLayer.MAX_LINE_LENGTH&&(e=this.$textLayer.MAX_LINE_LENGTH+30),Math.max(this.$size.scrollerWidth-2*this.$padding,Math.round(e*this.characterWidth))},this.updateFrontMarkers=function(){this.$markerFront.setMarkers(this.session.getMarkers(!0)),this.$loop.schedule(this.CHANGE_MARKER_FRONT)},this.updateBackMarkers=function(){this.$markerBack.setMarkers(this.session.getMarkers()),this.$loop.schedule(this.CHANGE_MARKER_BACK)},this.addGutterDecoration=function(e,t){this.$gutterLayer.addGutterDecoration(e,t)},this.removeGutterDecoration=function(e,t){this.$gutterLayer.removeGutterDecoration(e,t)},this.updateBreakpoints=function(e){this.$loop.schedule(this.CHANGE_GUTTER)},this.setAnnotations=function(e){this.$gutterLayer.setAnnotations(e),this.$loop.schedule(this.CHANGE_GUTTER)},this.updateCursor=function(){this.$loop.schedule(this.CHANGE_CURSOR)},this.hideCursor=function(){this.$cursorLayer.hideCursor()},this.showCursor=function(){this.$cursorLayer.showCursor()},this.scrollSelectionIntoView=function(e,t,n){this.scrollCursorIntoView(e,n),this.scrollCursorIntoView(t,n)},this.scrollCursorIntoView=function(e,t,n){if(this.$size.scrollerHeight===0)return;var r=this.$cursorLayer.getPixelPosition(e),i=r.left,s=r.top,o=n&&n.top||0,u=n&&n.bottom||0,a=this.$scrollAnimation?this.session.getScrollTop():this.scrollTop;a+o>s?(t&&a+o>s+this.lineHeight&&(s-=t*this.$size.scrollerHeight),s===0&&(s=-this.scrollMargin.top),this.session.setScrollTop(s)):a+this.$size.scrollerHeight-ui?(i=1-this.scrollMargin.top)return!0;if(t>0&&this.session.getScrollTop()+this.$size.scrollerHeight-this.layerConfig.maxHeight<-1+this.scrollMargin.bottom)return!0;if(e<0&&this.session.getScrollLeft()>=1-this.scrollMargin.left)return!0;if(e>0&&this.session.getScrollLeft()+this.$size.scrollerWidth-this.layerConfig.width<-1+this.scrollMargin.right)return!0},this.pixelToScreenCoordinates=function(e,t){var n;if(this.$hasCssTransforms){n={top:0,left:0};var r=this.$fontMetrics.transformCoordinates([e,t]);e=r[1]-this.gutterWidth-this.margin.left,t=r[0]}else n=this.scroller.getBoundingClientRect();var i=e+this.scrollLeft-n.left-this.$padding,s=i/this.characterWidth,o=Math.floor((t+this.scrollTop-n.top)/this.lineHeight),u=this.$blockCursor?Math.floor(s):Math.round(s);return{row:o,column:u,side:s-u>0?1:-1,offsetX:i}},this.screenToTextCoordinates=function(e,t){var n;if(this.$hasCssTransforms){n={top:0,left:0};var r=this.$fontMetrics.transformCoordinates([e,t]);e=r[1]-this.gutterWidth-this.margin.left,t=r[0]}else n=this.scroller.getBoundingClientRect();var i=e+this.scrollLeft-n.left-this.$padding,s=i/this.characterWidth,o=this.$blockCursor?Math.floor(s):Math.round(s),u=Math.floor((t+this.scrollTop-n.top)/this.lineHeight);return this.session.screenToDocumentPosition(u,Math.max(o,0),i)},this.textToScreenCoordinates=function(e,t){var n=this.scroller.getBoundingClientRect(),r=this.session.documentToScreenPosition(e,t),i=this.$padding+(this.session.$bidiHandler.isBidiRow(r.row,e)?this.session.$bidiHandler.getPosLeft(r.column):Math.round(r.column*this.characterWidth)),s=r.row*this.lineHeight;return{pageX:n.left+i-this.scrollLeft,pageY:n.top+s-this.scrollTop}},this.visualizeFocus=function(){i.addCssClass(this.container,"ace_focus")},this.visualizeBlur=function(){i.removeCssClass(this.container,"ace_focus")},this.showComposition=function(e){this.$composition=e,e.cssText||(e.cssText=this.textarea.style.cssText,e.keepTextAreaAtCursor=this.$keepTextAreaAtCursor),e.useTextareaForIME=this.$useTextareaForIME,this.$useTextareaForIME?(this.$keepTextAreaAtCursor=!0,i.addCssClass(this.textarea,"ace_composition"),this.textarea.style.cssText="",this.$moveTextAreaToCursor(),this.$cursorLayer.element.style.display="none"):e.markerId=this.session.addMarker(e.markerRange,"ace_composition_marker","text")},this.setCompositionText=function(e){var t=this.session.selection.cursor;this.addToken(e,"composition_placeholder",t.row,t.column),this.$moveTextAreaToCursor()},this.hideComposition=function(){if(!this.$composition)return;this.$composition.markerId&&this.session.removeMarker(this.$composition.markerId),i.removeCssClass(this.textarea,"ace_composition"),this.$keepTextAreaAtCursor=this.$composition.keepTextAreaAtCursor,this.textarea.style.cssText=this.$composition.cssText,this.$composition=null,this.$cursorLayer.element.style.display=""},this.addToken=function(e,t,n,r){var i=this.session;i.bgTokenizer.lines[n]=null;var s={type:t,value:e},o=i.getTokens(n);if(r==null)o.push(s);else{var u=0;for(var a=0;a50&&e.length>this.$doc.getLength()>>1?this.call("setValue",[this.$doc.getValue()]):this.emit("change",{data:e})}}).call(f.prototype);var l=function(e,t,n){var r=null,i=!1,u=Object.create(s),a=[],l=new f({messageBuffer:a,terminate:function(){},postMessage:function(e){a.push(e);if(!r)return;i?setTimeout(c):c()}});l.setEmitSync=function(e){i=e};var c=function(){var e=a.shift();e.command?r[e.command].apply(r,e.args):e.event&&u._signal(e.event,e.data)};return u.postMessage=function(e){l.onMessage({data:e})},u.callback=function(e,t){this.postMessage({type:"call",id:t,data:e})},u.emit=function(e,t){this.postMessage({type:"event",name:e,data:t})},o.loadModule(["worker",t],function(e){r=new e[n](u);while(a.length)c()}),l};t.UIWorkerClient=l,t.WorkerClient=f,t.createWorker=a}),ace.define("ace/placeholder",["require","exports","module","ace/range","ace/lib/event_emitter","ace/lib/oop"],function(e,t,n){"use strict";var r=e("./range").Range,i=e("./lib/event_emitter").EventEmitter,s=e("./lib/oop"),o=function(e,t,n,r,i,s){var o=this;this.length=t,this.session=e,this.doc=e.getDocument(),this.mainClass=i,this.othersClass=s,this.$onUpdate=this.onUpdate.bind(this),this.doc.on("change",this.$onUpdate),this.$others=r,this.$onCursorChange=function(){setTimeout(function(){o.onCursorChange()})},this.$pos=n;var u=e.getUndoManager().$undoStack||e.getUndoManager().$undostack||{length:-1};this.$undoStackDepth=u.length,this.setup(),e.selection.on("changeCursor",this.$onCursorChange)};(function(){s.implement(this,i),this.setup=function(){var e=this,t=this.doc,n=this.session;this.selectionBefore=n.selection.toJSON(),n.selection.inMultiSelectMode&&n.selection.toSingleRange(),this.pos=t.createAnchor(this.$pos.row,this.$pos.column);var i=this.pos;i.$insertRight=!0,i.detach(),i.markerId=n.addMarker(new r(i.row,i.column,i.row,i.column+this.length),this.mainClass,null,!1),this.others=[],this.$others.forEach(function(n){var r=t.createAnchor(n.row,n.column);r.$insertRight=!0,r.detach(),e.others.push(r)}),n.setUndoSelect(!1)},this.showOtherMarkers=function(){if(this.othersActive)return;var e=this.session,t=this;this.othersActive=!0,this.others.forEach(function(n){n.markerId=e.addMarker(new r(n.row,n.column,n.row,n.column+t.length),t.othersClass,null,!1)})},this.hideOtherMarkers=function(){if(!this.othersActive)return;this.othersActive=!1;for(var e=0;e=this.pos.column&&t.start.column<=this.pos.column+this.length+1,s=t.start.column-this.pos.column;this.updateAnchors(e),i&&(this.length+=n);if(i&&!this.session.$fromUndo)if(e.action==="insert")for(var o=this.others.length-1;o>=0;o--){var u=this.others[o],a={row:u.row,column:u.column+s};this.doc.insertMergedLines(a,e.lines)}else if(e.action==="remove")for(var o=this.others.length-1;o>=0;o--){var u=this.others[o],a={row:u.row,column:u.column+s};this.doc.remove(new r(a.row,a.column,a.row,a.column-n))}this.$updating=!1,this.updateMarkers()},this.updateAnchors=function(e){this.pos.onChange(e);for(var t=this.others.length;t--;)this.others[t].onChange(e);this.updateMarkers()},this.updateMarkers=function(){if(this.$updating)return;var e=this,t=this.session,n=function(n,i){t.removeMarker(n.markerId),n.markerId=t.addMarker(new r(n.row,n.column,n.row,n.column+e.length),i,null,!1)};n(this.pos,this.mainClass);for(var i=this.others.length;i--;)n(this.others[i],this.othersClass)},this.onCursorChange=function(e){if(this.$updating||!this.session)return;var t=this.session.selection.getCursor();t.row===this.pos.row&&t.column>=this.pos.column&&t.column<=this.pos.column+this.length?(this.showOtherMarkers(),this._emit("cursorEnter",e)):(this.hideOtherMarkers(),this._emit("cursorLeave",e))},this.detach=function(){this.session.removeMarker(this.pos&&this.pos.markerId),this.hideOtherMarkers(),this.doc.removeEventListener("change",this.$onUpdate),this.session.selection.removeEventListener("changeCursor",this.$onCursorChange),this.session.setUndoSelect(!0),this.session=null},this.cancel=function(){if(this.$undoStackDepth===-1)return;var e=this.session.getUndoManager(),t=(e.$undoStack||e.$undostack).length-this.$undoStackDepth;for(var n=0;n1&&!this.inMultiSelectMode&&(this._signal("multiSelect"),this.inMultiSelectMode=!0,this.session.$undoSelect=!1,this.rangeList.attach(this.session)),t||this.fromOrientedRange(e)},this.toSingleRange=function(e){e=e||this.ranges[0];var t=this.rangeList.removeAll();t.length&&this.$onRemoveRange(t),e&&this.fromOrientedRange(e)},this.substractPoint=function(e){var t=this.rangeList.substractPoint(e);if(t)return this.$onRemoveRange(t),t[0]},this.mergeOverlappingRanges=function(){var e=this.rangeList.merge();e.length&&this.$onRemoveRange(e)},this.$onAddRange=function(e){this.rangeCount=this.rangeList.ranges.length,this.ranges.unshift(e),this._signal("addRange",{range:e})},this.$onRemoveRange=function(e){this.rangeCount=this.rangeList.ranges.length;if(this.rangeCount==1&&this.inMultiSelectMode){var t=this.rangeList.ranges.pop();e.push(t),this.rangeCount=0}for(var n=e.length;n--;){var r=this.ranges.indexOf(e[n]);this.ranges.splice(r,1)}this._signal("removeRange",{ranges:e}),this.rangeCount===0&&this.inMultiSelectMode&&(this.inMultiSelectMode=!1,this._signal("singleSelect"),this.session.$undoSelect=!0,this.rangeList.detach(this.session)),t=t||this.ranges[0],t&&!t.isEqual(this.getRange())&&this.fromOrientedRange(t)},this.$initRangeList=function(){if(this.rangeList)return;this.rangeList=new r,this.ranges=[],this.rangeCount=0},this.getAllRanges=function(){return this.rangeCount?this.rangeList.ranges.concat():[this.getRange()]},this.splitIntoLines=function(){if(this.rangeCount>1){var e=this.rangeList.ranges,t=e[e.length-1],n=i.fromPoints(e[0].start,t.end);this.toSingleRange(),this.setSelectionRange(n,t.cursor==t.start)}else{var n=this.getRange(),r=this.isBackwards(),s=n.start.row,o=n.end.row;if(s==o){if(r)var u=n.end,a=n.start;else var u=n.start,a=n.end;this.addRange(i.fromPoints(a,a)),this.addRange(i.fromPoints(u,u));return}var f=[],l=this.getLineRange(s,!0);l.start.column=n.start.column,f.push(l);for(var c=s+1;c1){var e=this.rangeList.ranges,t=e[e.length-1],n=i.fromPoints(e[0].start,t.end);this.toSingleRange(),this.setSelectionRange(n,t.cursor==t.start)}else{var r=this.session.documentToScreenPosition(this.cursor),s=this.session.documentToScreenPosition(this.anchor),o=this.rectangularRangeBlock(r,s);o.forEach(this.addRange,this)}},this.rectangularRangeBlock=function(e,t,n){var r=[],s=e.column0)g--;if(g>0){var y=0;while(r[y].isEmpty())y++}for(var b=g;b>=y;b--)r[b].isEmpty()&&r.splice(b,1)}return r}}.call(s.prototype);var d=e("./editor").Editor;(function(){this.updateSelectionMarkers=function(){this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.addSelectionMarker=function(e){e.cursor||(e.cursor=e.end);var t=this.getSelectionStyle();return e.marker=this.session.addMarker(e,"ace_selection",t),this.session.$selectionMarkers.push(e),this.session.selectionMarkerCount=this.session.$selectionMarkers.length,e},this.removeSelectionMarker=function(e){if(!e.marker)return;this.session.removeMarker(e.marker);var t=this.session.$selectionMarkers.indexOf(e);t!=-1&&this.session.$selectionMarkers.splice(t,1),this.session.selectionMarkerCount=this.session.$selectionMarkers.length},this.removeSelectionMarkers=function(e){var t=this.session.$selectionMarkers;for(var n=e.length;n--;){var r=e[n];if(!r.marker)continue;this.session.removeMarker(r.marker);var i=t.indexOf(r);i!=-1&&t.splice(i,1)}this.session.selectionMarkerCount=t.length},this.$onAddRange=function(e){this.addSelectionMarker(e.range),this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.$onRemoveRange=function(e){this.removeSelectionMarkers(e.ranges),this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.$onMultiSelect=function(e){if(this.inMultiSelectMode)return;this.inMultiSelectMode=!0,this.setStyle("ace_multiselect"),this.keyBinding.addKeyboardHandler(f.keyboardHandler),this.commands.setDefaultHandler("exec",this.$onMultiSelectExec),this.renderer.updateCursor(),this.renderer.updateBackMarkers()},this.$onSingleSelect=function(e){if(this.session.multiSelect.inVirtualMode)return;this.inMultiSelectMode=!1,this.unsetStyle("ace_multiselect"),this.keyBinding.removeKeyboardHandler(f.keyboardHandler),this.commands.removeDefaultHandler("exec",this.$onMultiSelectExec),this.renderer.updateCursor(),this.renderer.updateBackMarkers(),this._emit("changeSelection")},this.$onMultiSelectExec=function(e){var t=e.command,n=e.editor;if(!n.multiSelect)return;if(!t.multiSelectAction){var r=t.exec(n,e.args||{});n.multiSelect.addRange(n.multiSelect.toOrientedRange()),n.multiSelect.mergeOverlappingRanges()}else t.multiSelectAction=="forEach"?r=n.forEachSelection(t,e.args):t.multiSelectAction=="forEachLine"?r=n.forEachSelection(t,e.args,!0):t.multiSelectAction=="single"?(n.exitMultiSelectMode(),r=t.exec(n,e.args||{})):r=t.multiSelectAction(n,e.args||{});return r},this.forEachSelection=function(e,t,n){if(this.inVirtualSelectionMode)return;var r=n&&n.keepOrder,i=n==1||n&&n.$byLines,o=this.session,u=this.selection,a=u.rangeList,f=(r?u:a).ranges,l;if(!f.length)return e.exec?e.exec(this,t||{}):e(this,t||{});var c=u._eventRegistry;u._eventRegistry={};var h=new s(o);this.inVirtualSelectionMode=!0;for(var p=f.length;p--;){if(i)while(p>0&&f[p].start.row==f[p-1].end.row)p--;h.fromOrientedRange(f[p]),h.index=p,this.selection=o.selection=h;var d=e.exec?e.exec(this,t||{}):e(this,t||{});!l&&d!==undefined&&(l=d),h.toOrientedRange(f[p])}h.detach(),this.selection=o.selection=u,this.inVirtualSelectionMode=!1,u._eventRegistry=c,u.mergeOverlappingRanges(),u.ranges[0]&&u.fromOrientedRange(u.ranges[0]);var v=this.renderer.$scrollAnimation;return this.onCursorChange(),this.onSelectionChange(),v&&v.from==v.to&&this.renderer.animateScrolling(v.from),l},this.exitMultiSelectMode=function(){if(!this.inMultiSelectMode||this.inVirtualSelectionMode)return;this.multiSelect.toSingleRange()},this.getSelectedText=function(){var e="";if(this.inMultiSelectMode&&!this.inVirtualSelectionMode){var t=this.multiSelect.rangeList.ranges,n=[];for(var r=0;r0);u<0&&(u=0),f>=c&&(f=c-1)}var p=this.session.removeFullLines(u,f);p=this.$reAlignText(p,l),this.session.insert({row:u,column:0},p.join("\n")+"\n"),l||(o.start.column=0,o.end.column=p[p.length-1].length),this.selection.setRange(o)}else{s.forEach(function(e){t.substractPoint(e.cursor)});var d=0,v=Infinity,m=n.map(function(t){var n=t.cursor,r=e.getLine(n.row),i=r.substr(n.column).search(/\S/g);return i==-1&&(i=0),n.column>d&&(d=n.column),io?e.insert(r,a.stringRepeat(" ",s-o)):e.remove(new i(r.row,r.column,r.row,r.column-s+o)),t.start.column=t.end.column=d,t.start.row=t.end.row=r.row,t.cursor=t.end}),t.fromOrientedRange(n[0]),this.renderer.updateCursor(),this.renderer.updateBackMarkers()}},this.$reAlignText=function(e,t){function u(e){return a.stringRepeat(" ",e)}function f(e){return e[2]?u(i)+e[2]+u(s-e[2].length+o)+e[4].replace(/^([=:])\s+/,"$1 "):e[0]}function l(e){return e[2]?u(i+s-e[2].length)+e[2]+u(o)+e[4].replace(/^([=:])\s+/,"$1 "):e[0]}function c(e){return e[2]?u(i)+e[2]+u(o)+e[4].replace(/^([=:])\s+/,"$1 "):e[0]}var n=!0,r=!0,i,s,o;return e.map(function(e){var t=e.match(/(\s*)(.*?)(\s*)([=:].*)/);return t?i==null?(i=t[1].length,s=t[2].length,o=t[3].length,t):(i+s+o!=t[1].length+t[2].length+t[3].length&&(r=!1),i!=t[1].length&&(n=!1),i>t[1].length&&(i=t[1].length),st[3].length&&(o=t[3].length),t):[e]}).map(t?f:n?r?l:f:c)}}).call(d.prototype),t.onSessionChange=function(e){var t=e.session;t&&!t.multiSelect&&(t.$selectionMarkers=[],t.selection.$initRangeList(),t.multiSelect=t.selection),this.multiSelect=t&&t.multiSelect;var n=e.oldSession;n&&(n.multiSelect.off("addRange",this.$onAddRange),n.multiSelect.off("removeRange",this.$onRemoveRange),n.multiSelect.off("multiSelect",this.$onMultiSelect),n.multiSelect.off("singleSelect",this.$onSingleSelect),n.multiSelect.lead.off("change",this.$checkMultiselectChange),n.multiSelect.anchor.off("change",this.$checkMultiselectChange)),t&&(t.multiSelect.on("addRange",this.$onAddRange),t.multiSelect.on("removeRange",this.$onRemoveRange),t.multiSelect.on("multiSelect",this.$onMultiSelect),t.multiSelect.on("singleSelect",this.$onSingleSelect),t.multiSelect.lead.on("change",this.$checkMultiselectChange),t.multiSelect.anchor.on("change",this.$checkMultiselectChange)),t&&this.inMultiSelectMode!=t.selection.inMultiSelectMode&&(t.selection.inMultiSelectMode?this.$onMultiSelect():this.$onSingleSelect())},t.MultiSelect=m,e("./config").defineOptions(d.prototype,"editor",{enableMultiselect:{set:function(e){m(this),e?(this.on("changeSession",this.$multiselectOnSessionChange),this.on("mousedown",o)):(this.off("changeSession",this.$multiselectOnSessionChange),this.off("mousedown",o))},value:!0},enableBlockSelect:{set:function(e){this.$blockSelectEnabled=e},value:!0}})}),ace.define("ace/mode/folding/fold_mode",["require","exports","module","ace/range"],function(e,t,n){"use strict";var r=e("../../range").Range,i=t.FoldMode=function(){};(function(){this.foldingStartMarker=null,this.foldingStopMarker=null,this.getFoldWidget=function(e,t,n){var r=e.getLine(n);return this.foldingStartMarker.test(r)?"start":t=="markbeginend"&&this.foldingStopMarker&&this.foldingStopMarker.test(r)?"end":""},this.getFoldWidgetRange=function(e,t,n){return null},this.indentationBlock=function(e,t,n){var i=/\S/,s=e.getLine(t),o=s.search(i);if(o==-1)return;var u=n||s.length,a=e.getLength(),f=t,l=t;while(++tf){var h=e.getLine(l).length;return new r(f,u,l,h)}},this.openingBracketBlock=function(e,t,n,i,s){var o={row:n,column:i+1},u=e.$findClosingBracket(t,o,s);if(!u)return;var a=e.foldWidgets[u.row];return a==null&&(a=e.getFoldWidget(u.row)),a=="start"&&u.row>o.row&&(u.row--,u.column=e.getLine(u.row).length),r.fromPoints(o,u)},this.closingBracketBlock=function(e,t,n,i,s){var o={row:n,column:i},u=e.$findOpeningBracket(t,o);if(!u)return;return u.column++,o.column--,r.fromPoints(u,o)}}).call(i.prototype)}),ace.define("ace/theme/textmate",["require","exports","module","ace/lib/dom"],function(e,t,n){"use strict";t.isDark=!1,t.cssClass="ace-tm",t.cssText='.ace-tm .ace_gutter {background: #f0f0f0;color: #333;}.ace-tm .ace_print-margin {width: 1px;background: #e8e8e8;}.ace-tm .ace_fold {background-color: #6B72E6;}.ace-tm {background-color: #FFFFFF;color: black;}.ace-tm .ace_cursor {color: black;}.ace-tm .ace_invisible {color: rgb(191, 191, 191);}.ace-tm .ace_storage,.ace-tm .ace_keyword {color: blue;}.ace-tm .ace_constant {color: rgb(197, 6, 11);}.ace-tm .ace_constant.ace_buildin {color: rgb(88, 72, 246);}.ace-tm .ace_constant.ace_language {color: rgb(88, 92, 246);}.ace-tm .ace_constant.ace_library {color: rgb(6, 150, 14);}.ace-tm .ace_invalid {background-color: rgba(255, 0, 0, 0.1);color: red;}.ace-tm .ace_support.ace_function {color: rgb(60, 76, 114);}.ace-tm .ace_support.ace_constant {color: rgb(6, 150, 14);}.ace-tm .ace_support.ace_type,.ace-tm .ace_support.ace_class {color: rgb(109, 121, 222);}.ace-tm .ace_keyword.ace_operator {color: rgb(104, 118, 135);}.ace-tm .ace_string {color: rgb(3, 106, 7);}.ace-tm .ace_comment {color: rgb(76, 136, 107);}.ace-tm .ace_comment.ace_doc {color: rgb(0, 102, 255);}.ace-tm .ace_comment.ace_doc.ace_tag {color: rgb(128, 159, 191);}.ace-tm .ace_constant.ace_numeric {color: rgb(0, 0, 205);}.ace-tm .ace_variable {color: rgb(49, 132, 149);}.ace-tm .ace_xml-pe {color: rgb(104, 104, 91);}.ace-tm .ace_entity.ace_name.ace_function {color: #0000A2;}.ace-tm .ace_heading {color: rgb(12, 7, 255);}.ace-tm .ace_list {color:rgb(185, 6, 144);}.ace-tm .ace_meta.ace_tag {color:rgb(0, 22, 142);}.ace-tm .ace_string.ace_regex {color: rgb(255, 0, 0)}.ace-tm .ace_marker-layer .ace_selection {background: rgb(181, 213, 255);}.ace-tm.ace_multiselect .ace_selection.ace_start {box-shadow: 0 0 3px 0px white;}.ace-tm .ace_marker-layer .ace_step {background: rgb(252, 255, 0);}.ace-tm .ace_marker-layer .ace_stack {background: rgb(164, 229, 101);}.ace-tm .ace_marker-layer .ace_bracket {margin: -1px 0 0 -1px;border: 1px solid rgb(192, 192, 192);}.ace-tm .ace_marker-layer .ace_active-line {background: rgba(0, 0, 0, 0.07);}.ace-tm .ace_gutter-active-line {background-color : #dcdcdc;}.ace-tm .ace_marker-layer .ace_selected-word {background: rgb(250, 250, 255);border: 1px solid rgb(200, 200, 250);}.ace-tm .ace_indent-guide {background: url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAACCAYAAACZgbYnAAAAE0lEQVQImWP4////f4bLly//BwAmVgd1/w11/gAAAABJRU5ErkJggg==") right repeat-y;}',t.$id="ace/theme/textmate";var r=e("../lib/dom");r.importCssString(t.cssText,t.cssClass)}),ace.define("ace/line_widgets",["require","exports","module","ace/lib/oop","ace/lib/dom","ace/range"],function(e,t,n){"use strict";function o(e){this.session=e,this.session.widgetManager=this,this.session.getRowLength=this.getRowLength,this.session.$getWidgetScreenLength=this.$getWidgetScreenLength,this.updateOnChange=this.updateOnChange.bind(this),this.renderWidgets=this.renderWidgets.bind(this),this.measureWidgets=this.measureWidgets.bind(this),this.session._changedWidgets=[],this.$onChangeEditor=this.$onChangeEditor.bind(this),this.session.on("change",this.updateOnChange),this.session.on("changeFold",this.updateOnFold),this.session.on("changeEditor",this.$onChangeEditor)}var r=e("./lib/oop"),i=e("./lib/dom"),s=e("./range").Range;(function(){this.getRowLength=function(e){var t;return this.lineWidgets?t=this.lineWidgets[e]&&this.lineWidgets[e].rowCount||0:t=0,!this.$useWrapMode||!this.$wrapData[e]?1+t:this.$wrapData[e].length+1+t},this.$getWidgetScreenLength=function(){var e=0;return this.lineWidgets.forEach(function(t){t&&t.rowCount&&!t.hidden&&(e+=t.rowCount)}),e},this.$onChangeEditor=function(e){this.attach(e.editor)},this.attach=function(e){e&&e.widgetManager&&e.widgetManager!=this&&e.widgetManager.detach();if(this.editor==e)return;this.detach(),this.editor=e,e&&(e.widgetManager=this,e.renderer.on("beforeRender",this.measureWidgets),e.renderer.on("afterRender",this.renderWidgets))},this.detach=function(e){var t=this.editor;if(!t)return;this.editor=null,t.widgetManager=null,t.renderer.off("beforeRender",this.measureWidgets),t.renderer.off("afterRender",this.renderWidgets);var n=this.session.lineWidgets;n&&n.forEach(function(e){e&&e.el&&e.el.parentNode&&(e._inDocument=!1,e.el.parentNode.removeChild(e.el))})},this.updateOnFold=function(e,t){var n=t.lineWidgets;if(!n||!e.action)return;var r=e.data,i=r.start.row,s=r.end.row,o=e.action=="add";for(var u=i+1;u0&&!r[i])i--;this.firstRow=n.firstRow,this.lastRow=n.lastRow,t.$cursorLayer.config=n;for(var o=i;o<=s;o++){var u=r[o];if(!u||!u.el)continue;if(u.hidden){u.el.style.top=-100-(u.pixelHeight||0)+"px";continue}u._inDocument||(u._inDocument=!0,t.container.appendChild(u.el));var a=t.$cursorLayer.getPixelPosition({row:o,column:0},!0).top;u.coverLine||(a+=n.lineHeight*this.session.getRowLineCount(u.row)),u.el.style.top=a-n.offset+"px";var f=u.coverGutter?0:t.gutterWidth;u.fixedWidth||(f-=t.scrollLeft),u.el.style.left=f+"px",u.fullWidth&&u.screenWidth&&(u.el.style.minWidth=n.width+2*n.padding+"px"),u.fixedWidth?u.el.style.right=t.scrollBar.getWidth()+"px":u.el.style.right=""}}}).call(o.prototype),t.LineWidgets=o}),ace.define("ace/ext/error_marker",["require","exports","module","ace/line_widgets","ace/lib/dom","ace/range"],function(e,t,n){"use strict";function o(e,t,n){var r=0,i=e.length-1;while(r<=i){var s=r+i>>1,o=n(t,e[s]);if(o>0)r=s+1;else{if(!(o<0))return s;i=s-1}}return-(r+1)}function u(e,t,n){var r=e.getAnnotations().sort(s.comparePoints);if(!r.length)return;var i=o(r,{row:t,column:-1},s.comparePoints);i<0&&(i=-i-1),i>=r.length?i=n>0?0:r.length-1:i===0&&n<0&&(i=r.length-1);var u=r[i];if(!u||!n)return;if(u.row===t){do u=r[i+=n];while(u&&u.row===t);if(!u)return r.slice()}var a=[];t=u.row;do a[n<0?"unshift":"push"](u),u=r[i+=n];while(u&&u.row==t);return a.length&&a}var r=e("../line_widgets").LineWidgets,i=e("../lib/dom"),s=e("../range").Range;t.showErrorMarker=function(e,t){var n=e.session;n.widgetManager||(n.widgetManager=new r(n),n.widgetManager.attach(e));var s=e.getCursorPosition(),o=s.row,a=n.widgetManager.getWidgetsAtRow(o).filter(function(e){return e.type=="errorMarker"})[0];a?a.destroy():o-=t;var f=u(n,o,t),l;if(f){var c=f[0];s.column=(c.pos&&typeof c.column!="number"?c.pos.sc:c.column)||0,s.row=c.row,l=e.renderer.$gutterLayer.$annotations[s.row]}else{if(a)return;l={text:["Looks good!"],className:"ace_ok"}}e.session.unfold(s.row),e.selection.moveToPosition(s);var h={row:s.row,fixedWidth:!0,coverGutter:!0,el:i.createElement("div"),type:"errorMarker"},p=h.el.appendChild(i.createElement("div")),d=h.el.appendChild(i.createElement("div"));d.className="error_widget_arrow "+l.className;var v=e.renderer.$cursorLayer.getPixelPosition(s).left;d.style.left=v+e.renderer.gutterWidth-5+"px",h.el.className="error_widget_wrapper",p.className="error_widget "+l.className,p.innerHTML=l.text.join("
"),p.appendChild(i.createElement("div"));var m=function(e,t,n){if(t===0&&(n==="esc"||n==="return"))return h.destroy(),{command:"null"}};h.destroy=function(){if(e.$mouseHandler.isMousePressed)return;e.keyBinding.removeKeyboardHandler(m),n.widgetManager.removeLineWidget(h),e.off("changeSelection",h.destroy),e.off("changeSession",h.destroy),e.off("mouseup",h.destroy),e.off("change",h.destroy)},e.keyBinding.addKeyboardHandler(m),e.on("changeSelection",h.destroy),e.on("changeSession",h.destroy),e.on("mouseup",h.destroy),e.on("change",h.destroy),e.session.widgetManager.addLineWidget(h),h.el.onmousedown=e.focus.bind(e),e.renderer.scrollCursorIntoView(null,.5,{bottom:h.el.offsetHeight})},i.importCssString(" .error_widget_wrapper { background: inherit; color: inherit; border:none } .error_widget { border-top: solid 2px; border-bottom: solid 2px; margin: 5px 0; padding: 10px 40px; white-space: pre-wrap; } .error_widget.ace_error, .error_widget_arrow.ace_error{ border-color: #ff5a5a } .error_widget.ace_warning, .error_widget_arrow.ace_warning{ border-color: #F1D817 } .error_widget.ace_info, .error_widget_arrow.ace_info{ border-color: #5a5a5a } .error_widget.ace_ok, .error_widget_arrow.ace_ok{ border-color: #5aaa5a } .error_widget_arrow { position: absolute; border: solid 5px; border-top-color: transparent!important; border-right-color: transparent!important; border-left-color: transparent!important; top: -5px; }","")}),ace.define("ace/ace",["require","exports","module","ace/lib/fixoldbrowsers","ace/lib/dom","ace/lib/event","ace/range","ace/editor","ace/edit_session","ace/undomanager","ace/virtual_renderer","ace/worker/worker_client","ace/keyboard/hash_handler","ace/placeholder","ace/multi_select","ace/mode/folding/fold_mode","ace/theme/textmate","ace/ext/error_marker","ace/config"],function(e,t,n){"use strict";e("./lib/fixoldbrowsers");var r=e("./lib/dom"),i=e("./lib/event"),s=e("./range").Range,o=e("./editor").Editor,u=e("./edit_session").EditSession,a=e("./undomanager").UndoManager,f=e("./virtual_renderer").VirtualRenderer;e("./worker/worker_client"),e("./keyboard/hash_handler"),e("./placeholder"),e("./multi_select"),e("./mode/folding/fold_mode"),e("./theme/textmate"),e("./ext/error_marker"),t.config=e("./config"),t.require=e,typeof define=="function"&&(t.define=define),t.edit=function(e,n){if(typeof e=="string"){var s=e;e=document.getElementById(s);if(!e)throw new Error("ace.edit can't find div #"+s)}if(e&&e.env&&e.env.editor instanceof o)return e.env.editor;var u="";if(e&&/input|textarea/i.test(e.tagName)){var a=e;u=a.value,e=r.createElement("pre"),a.parentNode.replaceChild(e,a)}else e&&(u=e.textContent,e.innerHTML="");var l=t.createEditSession(u),c=new o(new f(e),l,n),h={document:l,editor:c,onResize:c.resize.bind(c,null)};return a&&(h.textarea=a),i.addListener(window,"resize",h.onResize),c.on("destroy",function(){i.removeListener(window,"resize",h.onResize),h.editor.container.env=null}),c.container.env=c.env=h,c},t.createEditSession=function(e,t){var n=new u(e,t);return n.setUndoManager(new a),n},t.Range=s,t.Editor=o,t.EditSession=u,t.UndoManager=a,t.VirtualRenderer=f,t.version="1.4.4"}); (function() { + ace.require(["ace/ace"], function(a) { + if (a) { + a.config.init(true); + a.define = ace.define; + } + if (!window.ace) + window.ace = a; + for (var key in a) if (a.hasOwnProperty(key)) + window.ace[key] = a[key]; + window.ace["default"] = window.ace; + if (typeof module == "object" && typeof exports == "object" && module) { + module.exports = window.ace; + } + }); + })(); diff --git a/book/ayu-highlight.css b/book/ayu-highlight.css new file mode 100644 index 00000000..32c94322 --- /dev/null +++ b/book/ayu-highlight.css @@ -0,0 +1,78 @@ +/* +Based off of the Ayu theme +Original by Dempfi (https://github.com/dempfi/ayu) +*/ + +.hljs { + display: block; + overflow-x: auto; + background: #191f26; + color: #e6e1cf; +} + +.hljs-comment, +.hljs-quote { + color: #5c6773; + font-style: italic; +} + +.hljs-variable, +.hljs-template-variable, +.hljs-attribute, +.hljs-attr, +.hljs-regexp, +.hljs-link, +.hljs-selector-id, +.hljs-selector-class { + color: #ff7733; +} + +.hljs-number, +.hljs-meta, +.hljs-builtin-name, +.hljs-literal, +.hljs-type, +.hljs-params { + color: #ffee99; +} + +.hljs-string, +.hljs-bullet { + color: #b8cc52; +} + +.hljs-title, +.hljs-built_in, +.hljs-section { + color: #ffb454; +} + +.hljs-keyword, +.hljs-selector-tag, +.hljs-symbol { + color: #ff7733; +} + +.hljs-name { + color: #36a3d9; +} + +.hljs-tag { + color: #00568d; +} + +.hljs-emphasis { + font-style: italic; +} + +.hljs-strong { + font-weight: bold; +} + +.hljs-addition { + color: #91b362; +} + +.hljs-deletion { + color: #d96c75; +} diff --git a/book/book.js b/book/book.js new file mode 100644 index 00000000..adbd6a3c --- /dev/null +++ b/book/book.js @@ -0,0 +1,713 @@ +"use strict"; + +// Fix back button cache problem +window.onunload = function () { }; + +// Global variable, shared between modules +function playground_text(playground, hidden = true) { + let code_block = playground.querySelector("code"); + + if (window.ace && code_block.classList.contains("editable")) { + let editor = window.ace.edit(code_block); + return editor.getValue(); + } else if (hidden) { + return code_block.textContent; + } else { + return code_block.innerText; + } +} + +(function codeSnippets() { + function fetch_with_timeout(url, options, timeout = 6000) { + return Promise.race([ + fetch(url, options), + new Promise((_, reject) => setTimeout(() => reject(new Error('timeout')), timeout)) + ]); + } + + var playgrounds = Array.from(document.querySelectorAll(".playground")); + if (playgrounds.length > 0) { + fetch_with_timeout("https://play.rust-lang.org/meta/crates", { + headers: { + 'Content-Type': "application/json", + }, + method: 'POST', + mode: 'cors', + }) + .then(response => response.json()) + .then(response => { + // get list of crates available in the rust playground + let playground_crates = response.crates.map(item => item["id"]); + playgrounds.forEach(block => handle_crate_list_update(block, playground_crates)); + }); + } + + function handle_crate_list_update(playground_block, playground_crates) { + // update the play buttons after receiving the response + update_play_button(playground_block, playground_crates); + + // and install on change listener to dynamically update ACE editors + if (window.ace) { + let code_block = playground_block.querySelector("code"); + if (code_block.classList.contains("editable")) { + let editor = window.ace.edit(code_block); + editor.addEventListener("change", function (e) { + update_play_button(playground_block, playground_crates); + }); + // add Ctrl-Enter command to execute rust code + editor.commands.addCommand({ + name: "run", + bindKey: { + win: "Ctrl-Enter", + mac: "Ctrl-Enter" + }, + exec: _editor => run_rust_code(playground_block) + }); + } + } + } + + // updates the visibility of play button based on `no_run` class and + // used crates vs ones available on http://play.rust-lang.org + function update_play_button(pre_block, playground_crates) { + var play_button = pre_block.querySelector(".play-button"); + + // skip if code is `no_run` + if (pre_block.querySelector('code').classList.contains("no_run")) { + play_button.classList.add("hidden"); + return; + } + + // get list of `extern crate`'s from snippet + var txt = playground_text(pre_block); + var re = /extern\s+crate\s+([a-zA-Z_0-9]+)\s*;/g; + var snippet_crates = []; + var item; + while (item = re.exec(txt)) { + snippet_crates.push(item[1]); + } + + // check if all used crates are available on play.rust-lang.org + var all_available = snippet_crates.every(function (elem) { + return playground_crates.indexOf(elem) > -1; + }); + + if (all_available) { + play_button.classList.remove("hidden"); + } else { + play_button.classList.add("hidden"); + } + } + + function run_rust_code(code_block) { + var result_block = code_block.querySelector(".result"); + if (!result_block) { + result_block = document.createElement('code'); + result_block.className = 'result hljs language-bash'; + + code_block.append(result_block); + } + + let text = playground_text(code_block); + let classes = code_block.querySelector('code').classList; + let edition = "2015"; + if(classes.contains("edition2018")) { + edition = "2018"; + } else if(classes.contains("edition2021")) { + edition = "2021"; + } + var params = { + version: "stable", + optimize: "0", + code: text, + edition: edition + }; + + if (text.indexOf("#![feature") !== -1) { + params.version = "nightly"; + } + + result_block.innerText = "Running..."; + + fetch_with_timeout("https://play.rust-lang.org/evaluate.json", { + headers: { + 'Content-Type': "application/json", + }, + method: 'POST', + mode: 'cors', + body: JSON.stringify(params) + }) + .then(response => response.json()) + .then(response => { + if (response.result.trim() === '') { + result_block.innerText = "No output"; + result_block.classList.add("result-no-output"); + } else { + result_block.innerText = response.result; + result_block.classList.remove("result-no-output"); + } + }) + .catch(error => result_block.innerText = "Playground Communication: " + error.message); + } + + // Syntax highlighting Configuration + hljs.configure({ + tabReplace: ' ', // 4 spaces + languages: [], // Languages used for auto-detection + }); + + let code_nodes = Array + .from(document.querySelectorAll('code')) + // Don't highlight `inline code` blocks in headers. + .filter(function (node) {return !node.parentElement.classList.contains("header"); }); + + if (window.ace) { + // language-rust class needs to be removed for editable + // blocks or highlightjs will capture events + code_nodes + .filter(function (node) {return node.classList.contains("editable"); }) + .forEach(function (block) { block.classList.remove('language-rust'); }); + + code_nodes + .filter(function (node) {return !node.classList.contains("editable"); }) + .forEach(function (block) { hljs.highlightBlock(block); }); + } else { + code_nodes.forEach(function (block) { hljs.highlightBlock(block); }); + } + + // Adding the hljs class gives code blocks the color css + // even if highlighting doesn't apply + code_nodes.forEach(function (block) { block.classList.add('hljs'); }); + + Array.from(document.querySelectorAll("code.language-rust")).forEach(function (block) { + + var lines = Array.from(block.querySelectorAll('.boring')); + // If no lines were hidden, return + if (!lines.length) { return; } + block.classList.add("hide-boring"); + + var buttons = document.createElement('div'); + buttons.className = 'buttons'; + buttons.innerHTML = ""; + + // add expand button + var pre_block = block.parentNode; + pre_block.insertBefore(buttons, pre_block.firstChild); + + pre_block.querySelector('.buttons').addEventListener('click', function (e) { + if (e.target.classList.contains('fa-eye')) { + e.target.classList.remove('fa-eye'); + e.target.classList.add('fa-eye-slash'); + e.target.title = 'Hide lines'; + e.target.setAttribute('aria-label', e.target.title); + + block.classList.remove('hide-boring'); + } else if (e.target.classList.contains('fa-eye-slash')) { + e.target.classList.remove('fa-eye-slash'); + e.target.classList.add('fa-eye'); + e.target.title = 'Show hidden lines'; + e.target.setAttribute('aria-label', e.target.title); + + block.classList.add('hide-boring'); + } + }); + }); + + if (window.playground_copyable) { + Array.from(document.querySelectorAll('pre code')).forEach(function (block) { + var pre_block = block.parentNode; + if (!pre_block.classList.contains('playground')) { + var buttons = pre_block.querySelector(".buttons"); + if (!buttons) { + buttons = document.createElement('div'); + buttons.className = 'buttons'; + pre_block.insertBefore(buttons, pre_block.firstChild); + } + + var clipButton = document.createElement('button'); + clipButton.className = 'fa fa-copy clip-button'; + clipButton.title = 'Copy to clipboard'; + clipButton.setAttribute('aria-label', clipButton.title); + clipButton.innerHTML = ''; + + buttons.insertBefore(clipButton, buttons.firstChild); + } + }); + } + + // Process playground code blocks + Array.from(document.querySelectorAll(".playground")).forEach(function (pre_block) { + // Add play button + var buttons = pre_block.querySelector(".buttons"); + if (!buttons) { + buttons = document.createElement('div'); + buttons.className = 'buttons'; + pre_block.insertBefore(buttons, pre_block.firstChild); + } + + var runCodeButton = document.createElement('button'); + runCodeButton.className = 'fa fa-play play-button'; + runCodeButton.hidden = true; + runCodeButton.title = 'Run this code'; + runCodeButton.setAttribute('aria-label', runCodeButton.title); + + buttons.insertBefore(runCodeButton, buttons.firstChild); + runCodeButton.addEventListener('click', function (e) { + run_rust_code(pre_block); + }); + + if (window.playground_copyable) { + var copyCodeClipboardButton = document.createElement('button'); + copyCodeClipboardButton.className = 'fa fa-copy clip-button'; + copyCodeClipboardButton.innerHTML = ''; + copyCodeClipboardButton.title = 'Copy to clipboard'; + copyCodeClipboardButton.setAttribute('aria-label', copyCodeClipboardButton.title); + + buttons.insertBefore(copyCodeClipboardButton, buttons.firstChild); + } + + let code_block = pre_block.querySelector("code"); + if (window.ace && code_block.classList.contains("editable")) { + var undoChangesButton = document.createElement('button'); + undoChangesButton.className = 'fa fa-history reset-button'; + undoChangesButton.title = 'Undo changes'; + undoChangesButton.setAttribute('aria-label', undoChangesButton.title); + + buttons.insertBefore(undoChangesButton, buttons.firstChild); + + undoChangesButton.addEventListener('click', function () { + let editor = window.ace.edit(code_block); + editor.setValue(editor.originalCode); + editor.clearSelection(); + }); + } + }); +})(); + +(function themes() { + var html = document.querySelector('html'); + var themeToggleButton = document.getElementById('theme-toggle'); + var themePopup = document.getElementById('theme-list'); + var themeColorMetaTag = document.querySelector('meta[name="theme-color"]'); + var stylesheets = { + ayuHighlight: document.querySelector("[href$='ayu-highlight.css']"), + tomorrowNight: document.querySelector("[href$='tomorrow-night.css']"), + orandaHighlight: document.querySelector("[href$='oranda-highlight.css']"), + highlight: document.querySelector("[href$='highlight.css']"), + }; + + function showThemes() { + themePopup.style.display = 'block'; + themeToggleButton.setAttribute('aria-expanded', true); + themePopup.querySelector("button#" + get_theme()).focus(); + } + + function updateThemeSelected() { + themePopup.querySelectorAll('.theme-selected').forEach(function (el) { + el.classList.remove('theme-selected'); + }); + themePopup.querySelector("button#" + get_theme()).classList.add('theme-selected'); + } + + function hideThemes() { + themePopup.style.display = 'none'; + themeToggleButton.setAttribute('aria-expanded', false); + themeToggleButton.focus(); + } + + function checkThemeCacheValidity() { + // We use the display name of the default_theme to determine if the oranda + // user has changed the default theme. If they have, we invalidate the stored + // theme so that we'll revert back to the default_theme. + var oldLabel; + try { + oldLabel = localStorage.getItem('orandamdbook-theme-default-label'); + } catch (e) { } + var curLabel = themePopup.querySelector("button#" + default_theme).innerText; + + if (oldLabel != curLabel) { + // Default changed, toss everything + localStorage.removeItem('orandamdbook-theme') + } + // Remember the current default label + localStorage.setItem('orandamdbook-theme-default-label', curLabel); + } + + function get_theme() { + checkThemeCacheValidity(); + var theme; + try { theme = localStorage.getItem('orandamdbook-theme'); } catch (e) { } + + if (theme === null || theme === undefined || themePopup.querySelector("button#" + theme) === null) { + return default_theme; + } else { + return theme; + } + } + + function set_theme(theme, store = true) { + let ace_theme; + + // disable all syntax stylesheets, then enable the right one + for (const name in stylesheets) { + stylesheets[name].disabled = true; + } + + if (theme == 'coal' || theme == 'navy') { + stylesheets.tomorrowNight.disabled = false; + ace_theme = "ace/theme/tomorrow_night"; + } else if (theme == 'ayu') { + stylesheets.ayuHighlight.disabled = false; + ace_theme = "ace/theme/tomorrow_night"; + } else if (theme == "oranda-dark" || theme == "oranda-light") { + stylesheets.orandaHighlight.disabled = false; + ace_theme = "ace/theme/tomorrow_night"; + } else { + stylesheets.highlight.disabled = false; + ace_theme = "ace/theme/dawn"; + } + + setTimeout(function () { + themeColorMetaTag.content = getComputedStyle(document.body).backgroundColor; + }, 1); + + if (window.ace && window.editors) { + window.editors.forEach(function (editor) { + editor.setTheme(ace_theme); + }); + } + + var previousTheme = get_theme(); + + if (store) { + // We use a custom key here to avoid breaking other mdbooks running on localhost, + // because they will share localStorage with us, and if they see the selected + // theme is "oranda" they sadly will crash instead of ignoring it. + try { localStorage.setItem('orandamdbook-theme', theme); } catch (e) { } + } + + html.classList.remove(previousTheme); + html.classList.add(theme); + updateThemeSelected(); + } + + // Set theme + var theme = get_theme(); + + set_theme(theme, false); + + themeToggleButton.addEventListener('click', function () { + if (themePopup.style.display === 'block') { + hideThemes(); + } else { + showThemes(); + } + }); + + themePopup.addEventListener('click', function (e) { + var theme; + if (e.target.className === "theme") { + theme = e.target.id; + } else if (e.target.parentElement.className === "theme") { + theme = e.target.parentElement.id; + } else { + return; + } + set_theme(theme); + }); + + themePopup.addEventListener('focusout', function(e) { + // e.relatedTarget is null in Safari and Firefox on macOS (see workaround below) + if (!!e.relatedTarget && !themeToggleButton.contains(e.relatedTarget) && !themePopup.contains(e.relatedTarget)) { + hideThemes(); + } + }); + + // Should not be needed, but it works around an issue on macOS & iOS: https://github.com/rust-lang/mdBook/issues/628 + document.addEventListener('click', function(e) { + if (themePopup.style.display === 'block' && !themeToggleButton.contains(e.target) && !themePopup.contains(e.target)) { + hideThemes(); + } + }); + + document.addEventListener('keydown', function (e) { + if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey) { return; } + if (!themePopup.contains(e.target)) { return; } + + switch (e.key) { + case 'Escape': + e.preventDefault(); + hideThemes(); + break; + case 'ArrowUp': + e.preventDefault(); + var li = document.activeElement.parentElement; + if (li && li.previousElementSibling) { + li.previousElementSibling.querySelector('button').focus(); + } + break; + case 'ArrowDown': + e.preventDefault(); + var li = document.activeElement.parentElement; + if (li && li.nextElementSibling) { + li.nextElementSibling.querySelector('button').focus(); + } + break; + case 'Home': + e.preventDefault(); + themePopup.querySelector('li:first-child button').focus(); + break; + case 'End': + e.preventDefault(); + themePopup.querySelector('li:last-child button').focus(); + break; + } + }); +})(); + +(function sidebar() { + var html = document.querySelector("html"); + var sidebar = document.getElementById("sidebar"); + var sidebarLinks = document.querySelectorAll('#sidebar a'); + var sidebarToggleButton = document.getElementById("sidebar-toggle"); + var sidebarResizeHandle = document.getElementById("sidebar-resize-handle"); + var firstContact = null; + + function showSidebar() { + html.classList.remove('sidebar-hidden') + html.classList.add('sidebar-visible'); + Array.from(sidebarLinks).forEach(function (link) { + link.setAttribute('tabIndex', 0); + }); + sidebarToggleButton.setAttribute('aria-expanded', true); + sidebar.setAttribute('aria-hidden', false); + try { localStorage.setItem('mdbook-sidebar', 'visible'); } catch (e) { } + } + + + var sidebarAnchorToggles = document.querySelectorAll('#sidebar a.toggle'); + + function toggleSection(ev) { + ev.currentTarget.parentElement.classList.toggle('expanded'); + } + + Array.from(sidebarAnchorToggles).forEach(function (el) { + el.addEventListener('click', toggleSection); + }); + + function hideSidebar() { + html.classList.remove('sidebar-visible') + html.classList.add('sidebar-hidden'); + Array.from(sidebarLinks).forEach(function (link) { + link.setAttribute('tabIndex', -1); + }); + sidebarToggleButton.setAttribute('aria-expanded', false); + sidebar.setAttribute('aria-hidden', true); + try { localStorage.setItem('mdbook-sidebar', 'hidden'); } catch (e) { } + } + + // Toggle sidebar + sidebarToggleButton.addEventListener('click', function sidebarToggle() { + if (html.classList.contains("sidebar-hidden")) { + var current_width = parseInt( + document.documentElement.style.getPropertyValue('--sidebar-width'), 10); + if (current_width < 150) { + document.documentElement.style.setProperty('--sidebar-width', '150px'); + } + showSidebar(); + } else if (html.classList.contains("sidebar-visible")) { + hideSidebar(); + } else { + if (getComputedStyle(sidebar)['transform'] === 'none') { + hideSidebar(); + } else { + showSidebar(); + } + } + }); + + sidebarResizeHandle.addEventListener('mousedown', initResize, false); + + function initResize(e) { + window.addEventListener('mousemove', resize, false); + window.addEventListener('mouseup', stopResize, false); + html.classList.add('sidebar-resizing'); + } + function resize(e) { + var pos = (e.clientX - sidebar.offsetLeft); + if (pos < 20) { + hideSidebar(); + } else { + if (html.classList.contains("sidebar-hidden")) { + showSidebar(); + } + pos = Math.min(pos, window.innerWidth - 100); + document.documentElement.style.setProperty('--sidebar-width', pos + 'px'); + } + } + //on mouseup remove windows functions mousemove & mouseup + function stopResize(e) { + html.classList.remove('sidebar-resizing'); + window.removeEventListener('mousemove', resize, false); + window.removeEventListener('mouseup', stopResize, false); + } + + document.addEventListener('touchstart', function (e) { + firstContact = { + x: e.touches[0].clientX, + time: Date.now() + }; + }, { passive: true }); + + document.addEventListener('touchmove', function (e) { + if (!firstContact) + return; + + var curX = e.touches[0].clientX; + var xDiff = curX - firstContact.x, + tDiff = Date.now() - firstContact.time; + + if (tDiff < 250 && Math.abs(xDiff) >= 150) { + if (xDiff >= 0 && firstContact.x < Math.min(document.body.clientWidth * 0.25, 300)) + showSidebar(); + else if (xDiff < 0 && curX < 300) + hideSidebar(); + + firstContact = null; + } + }, { passive: true }); + + // Scroll sidebar to current active section + var activeSection = document.getElementById("sidebar").querySelector(".active"); + if (activeSection) { + // https://developer.mozilla.org/en-US/docs/Web/API/Element/scrollIntoView + activeSection.scrollIntoView({ block: 'center' }); + } +})(); + +(function chapterNavigation() { + document.addEventListener('keydown', function (e) { + if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey) { return; } + if (window.search && window.search.hasFocus()) { return; } + + switch (e.key) { + case 'ArrowRight': + e.preventDefault(); + var nextButton = document.querySelector('.nav-chapters.next'); + if (nextButton) { + window.location.href = nextButton.href; + } + break; + case 'ArrowLeft': + e.preventDefault(); + var previousButton = document.querySelector('.nav-chapters.previous'); + if (previousButton) { + window.location.href = previousButton.href; + } + break; + } + }); +})(); + +(function clipboard() { + var clipButtons = document.querySelectorAll('.clip-button'); + + function hideTooltip(elem) { + elem.firstChild.innerText = ""; + elem.className = 'fa fa-copy clip-button'; + } + + function showTooltip(elem, msg) { + elem.firstChild.innerText = msg; + elem.className = 'fa fa-copy tooltipped'; + } + + var clipboardSnippets = new ClipboardJS('.clip-button', { + text: function (trigger) { + hideTooltip(trigger); + let playground = trigger.closest("pre"); + return playground_text(playground, false); + } + }); + + Array.from(clipButtons).forEach(function (clipButton) { + clipButton.addEventListener('mouseout', function (e) { + hideTooltip(e.currentTarget); + }); + }); + + clipboardSnippets.on('success', function (e) { + e.clearSelection(); + showTooltip(e.trigger, "Copied!"); + }); + + clipboardSnippets.on('error', function (e) { + showTooltip(e.trigger, "Clipboard error!"); + }); +})(); + +(function scrollToTop () { + var menuTitle = document.querySelector('.menu-title'); + + menuTitle.addEventListener('click', function () { + document.scrollingElement.scrollTo({ top: 0, behavior: 'smooth' }); + }); +})(); + +(function controllMenu() { + var menu = document.getElementById('menu-bar'); + + (function controllPosition() { + var scrollTop = document.scrollingElement.scrollTop; + var prevScrollTop = scrollTop; + var minMenuY = -menu.clientHeight - 50; + // When the script loads, the page can be at any scroll (e.g. if you reforesh it). + menu.style.top = scrollTop + 'px'; + // Same as parseInt(menu.style.top.slice(0, -2), but faster + var topCache = menu.style.top.slice(0, -2); + menu.classList.remove('sticky'); + var stickyCache = false; // Same as menu.classList.contains('sticky'), but faster + document.addEventListener('scroll', function () { + scrollTop = Math.max(document.scrollingElement.scrollTop, 0); + // `null` means that it doesn't need to be updated + var nextSticky = null; + var nextTop = null; + var scrollDown = scrollTop > prevScrollTop; + var menuPosAbsoluteY = topCache - scrollTop; + if (scrollDown) { + nextSticky = false; + if (menuPosAbsoluteY > 0) { + nextTop = prevScrollTop; + } + } else { + if (menuPosAbsoluteY > 0) { + nextSticky = true; + } else if (menuPosAbsoluteY < minMenuY) { + nextTop = prevScrollTop + minMenuY; + } + } + if (nextSticky === true && stickyCache === false) { + menu.classList.add('sticky'); + stickyCache = true; + } else if (nextSticky === false && stickyCache === true) { + menu.classList.remove('sticky'); + stickyCache = false; + } + if (nextTop !== null) { + menu.style.top = nextTop + 'px'; + topCache = nextTop; + } + prevScrollTop = scrollTop; + }, { passive: true }); + })(); + (function controllBorder() { + menu.classList.remove('bordered'); + document.addEventListener('scroll', function () { + if (menu.offsetTop === 0) { + menu.classList.remove('bordered'); + } else { + menu.classList.add('bordered'); + } + }, { passive: true }); + })(); +})(); diff --git a/book/clipboard.min.js b/book/clipboard.min.js new file mode 100644 index 00000000..02c549e3 --- /dev/null +++ b/book/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.4 + * https://zenorocha.github.io/clipboard.js + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return function(n){var o={};function r(t){if(o[t])return o[t].exports;var e=o[t]={i:t,l:!1,exports:{}};return n[t].call(e.exports,e,e.exports,r),e.l=!0,e.exports}return r.m=n,r.c=o,r.d=function(t,e,n){r.o(t,e)||Object.defineProperty(t,e,{enumerable:!0,get:n})},r.r=function(t){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(t,"__esModule",{value:!0})},r.t=function(e,t){if(1&t&&(e=r(e)),8&t)return e;if(4&t&&"object"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(r.r(n),Object.defineProperty(n,"default",{enumerable:!0,value:e}),2&t&&"string"!=typeof e)for(var o in e)r.d(n,o,function(t){return e[t]}.bind(null,o));return n},r.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return r.d(e,"a",e),e},r.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},r.p="",r(r.s=0)}([function(t,e,n){"use strict";var r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t},i=function(){function o(t,e){for(var n=0;n + + + + + Compatibility - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+ + + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Compatibility

+

Scaphandre intends to provide multiple ways to gather power consumption metrics and make understanding tech services footprint possible in many situations. Depending on how you use scaphandre, you may have some restrictions.

+

To summarize, scaphandre should provide two ways to estimate the power consumption of a service, process or machine. Either by measuring it, using software interfaces that give access to hardware metrics, or by estimating it if measuring is not an option (this is a planned feature, not yet implemented as those lines are written, in december 2020).

+

In scaphandre, the code responsible to collect the power consumption data before any further processing is grouped in components called sensors. If you want more details about scaphandre structure, here are the explanations.

+

On GNU/Linux PowercapRAPL sensor enables you to measure the power consumption, but it doesn't work in all contexts.

+

On Windows, the MsrRAPL sensor, coupled with the driver responsible to read RAPL MSR's enables you to do (almost) the same.

+
+ + + +
SensorIntel x86 bare metalAMD x86 bare metalARM bare metalVirtual MachinePublic cloud instanceContainer
PowercapRAPL (GNU/Linux only)YesYes ⚠️ kernel > 5.11 requiredWe don't know yetYes, if on a qemu/KVM hypervisor that runs scaphandre and the Qemu exporterNo, until your cloud provider uses scaphandre on its hypervisorsDepends on what you want
MsrRAPL (Windows only)YesProbable yes (not tested yet, if you have windows operated AMD gear, please consider contributingNoNot yet, depends on improvements on the MsrRAPL sensors and overall windows/hypervisors support in ScaphandreNo, until your cloud provider uses scaphandre on its hypervisorsMight work, not tested yet. If you want to join us in this journey, please consider contributing
Future estimation based sensorFuture YesFuture YesFuture YesFuture YesFuture YesFuture Yes
+
+

Checking RAPL is available on your CPU

+

Sensors including "RAPL" in their name rely on RAPL.

+

The pts and pln feature flags ("Intel Package Thermal Status" and "Intel Power Limit Notification" respectively) seem to indicate that RAPL is supported on a CPU. On GNU/Linux, you could be sure of their presence, if this command succeds and matches :

+
egrep "(pts|pln)" /proc/cpuinfo
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
+ + diff --git a/book/contributing.html b/book/contributing.html new file mode 100644 index 00000000..232b7ad4 --- /dev/null +++ b/book/contributing.html @@ -0,0 +1,242 @@ + + + + + + Contributing guide - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Contributing guide

+

If you are reading this, you may be to contribute. Just for that, a big thank you ! 👏

+

Feel free to propose pull requests, or open new discussions or issues at will. Scaphandre is a collaborative project and all opinions and propositions shall be heard and studied. The contributions will be received with kindness, gratitude and with an open mind. Remember that we are all dwarfs standing on the shoulders of giants. We all have to learn from others and to give back, with due mutual respect.

+

Code of conduct

+

This project adheres to the Rust Code of Conduct, which can be found here.

+

Ways to contribute

+

Contributions may take multiple forms:

+
    +
  • 💻 code, of course, but not only (there is a lot more !)
    • +
  • 📖 documentation : here is a guide to edit and build the documentation
    • +
  • 🎤 Any help on communication: writing blog posts, speaking about scaphandre in conferences, speaking and writing about the responsibility of tech to be sustainable as well !
    • +
  • 🧬 structuring the project and the community is also a very important topic. Feel free to propose help, or start discussions about that.
    • +
+

This project intends to unite a lot of people to have a lot of positive impact. Any action going helping us to get there will be very much appreciated ! 🎉

+

Contact

+

Discussions and questions about the project are welcome on gitter or by email.

+

Contribution guidelines

+

This project intends to use conventional commit messages and the gitflow workflow.

+

Please open your pull requests on the dev branch :)

+

Scaphandre is a not only a tool, but a framework. Modules dedicated to collect energy consumption data from the host are called Sensors. +Modules that are dedicated to send this data to a given channel or remote system are called Exporters. New Sensors and Exporters are going to be created and all contributions are welcome. For more on the internal structure please jump here.

+

Edit and build the documentation

+

Documentation source files are in docs_src, edit the content there and propose pull-requests on the scaphandre repository as if it was a code pull-request.

+

Here is how to build and publish the documentation after a change. First download mdbook, the static site generator we use for the documentation website:

+
cargo install mdbook
+
+

Then fork the scaphandre-documentation repository and clone the resulting repository locally.

+

Place the resulting documentation folder next to scaphandre's folder. Then run the build:

+
cd scaphandre && mdbook build
+
+

You should then have the result in scaphandre-documentation/docs. Commit, push and propose a PR to publish the changes.

+

You can also serve the current content locally to see your changes before commit:

+
mdbook serve
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
+ + diff --git a/book/css/chrome.css b/book/css/chrome.css new file mode 100644 index 00000000..f15c384f --- /dev/null +++ b/book/css/chrome.css @@ -0,0 +1,569 @@ +/* CSS for UI elements (a.k.a. chrome) */ + +@import 'variables.css'; + +html { + scrollbar-color: var(--scrollbar) var(--bg); +} +#searchresults a, +.content a:link, +a:visited, +a > .hljs { + color: var(--links); +} +#searchresults a:hover, +.content a:hover, +a:hover, +a > .hljs:hover { + color: var(--links-hover, var(--links)); +} + +/* + body-container is necessary because mobile browsers don't seem to like + overflow-x on the body tag when there is a tag. +*/ +#body-container { + /* + This is used when the sidebar pushes the body content off the side of + the screen on small screens. Without it, dragging on mobile Safari + will want to reposition the viewport in a weird way. + */ + overflow-x: hidden; +} + +/* Menu Bar */ + +#menu-bar, +#menu-bar-hover-placeholder { + z-index: 101; + margin: auto calc(0px - var(--page-padding)); +} +#menu-bar { + position: relative; + display: flex; + flex-wrap: wrap; + background-color: var(--bg); + border-bottom-color: var(--bg); + border-bottom-width: 1px; + border-bottom-style: solid; +} +#menu-bar.sticky, +.js #menu-bar-hover-placeholder:hover + #menu-bar, +.js #menu-bar:hover, +.js.sidebar-visible #menu-bar { + position: -webkit-sticky; + position: sticky; + top: 0 !important; +} +#menu-bar-hover-placeholder { + position: sticky; + position: -webkit-sticky; + top: 0; + height: var(--menu-bar-height); +} +#menu-bar.bordered { + border-bottom-color: var(--table-border-color); +} +#menu-bar i, #menu-bar .icon-button { + position: relative; + padding: 0 8px; + z-index: 10; + line-height: var(--menu-bar-height); + cursor: pointer; + transition: color 0.5s; +} +@media only screen and (max-width: 420px) { + #menu-bar i, #menu-bar .icon-button { + padding: 0 5px; + } +} + +.icon-button { + border: none; + background: none; + padding: 0; + color: inherit; +} +.icon-button i { + margin: 0; +} + +.right-buttons { + margin: 0 15px; +} +.right-buttons a { + text-decoration: none; +} + +.left-buttons { + display: flex; + margin: 0 5px; +} +.no-js .left-buttons { + display: none; +} + +.menu-title { + display: inline-block; + font-weight: 200; + font-size: 2.4rem; + line-height: var(--menu-bar-height); + text-align: center; + margin: 0; + flex: 1; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} +.js .menu-title { + cursor: pointer; +} + +.menu-bar, +.menu-bar:visited, +.nav-chapters, +.nav-chapters:visited, +.mobile-nav-chapters, +.mobile-nav-chapters:visited, +.menu-bar .icon-button, +.menu-bar a i { + color: var(--icons); +} + +.menu-bar i:hover, +.menu-bar .icon-button:hover, +.nav-chapters:hover, +.mobile-nav-chapters i:hover { + color: var(--icons-hover); +} + +/* Nav Icons */ + +.nav-chapters { + font-size: 2.5em; + text-align: center; + text-decoration: none; + + position: fixed; + top: 0; + bottom: 0; + margin: 0; + max-width: 150px; + min-width: 90px; + + display: flex; + justify-content: center; + align-content: center; + flex-direction: column; + + transition: color 0.5s, background-color 0.5s; +} + +.nav-chapters:hover { + text-decoration: none; + background-color: var(--theme-hover); + transition: background-color 0.15s, color 0.15s; +} + +.nav-wrapper { + margin-top: 50px; + display: none; +} + +.mobile-nav-chapters { + font-size: 2.5em; + text-align: center; + text-decoration: none; + width: 90px; + border-radius: 5px; + background-color: var(--sidebar-bg); +} + +.previous { + float: left; +} + +.next { + float: right; + right: var(--page-padding); +} + +@media only screen and (max-width: 1080px) { + .nav-wide-wrapper { display: none; } + .nav-wrapper { display: block; } +} + +@media only screen and (max-width: 1380px) { + .sidebar-visible .nav-wide-wrapper { display: none; } + .sidebar-visible .nav-wrapper { display: block; } +} + +/* Inline code */ + +:not(pre) > .hljs { + display: inline; + padding: 0.1em 0.3em; + border-radius: 3px; +} + +:not(pre):not(a) > .hljs { + color: var(--inline-code-color); + overflow-x: initial; +} + +/* + oranda standard theming is to not include boxes/bgs around inline code. + this overloads values that are normally set by a highlightjs css + file (*-highlight.css), which we don't want for other themes. There's + no good way I could find to toggle this with pure vars, so it has to + be done manually here. +*/ +.oranda-dark :not(pre) > .hljs, +.oranda-light :not(pre) > .hljs { + background-color: inherit; + padding: 0em; +} + +a:hover > .hljs { + text-decoration: underline; +} + +pre { + position: relative; +} +pre > .buttons { + position: absolute; + z-index: 100; + right: 0px; + top: 2px; + margin: 0px; + padding: 2px 0px; + + color: var(--sidebar-fg); + cursor: pointer; + visibility: hidden; + opacity: 0; + transition: visibility 0.1s linear, opacity 0.1s linear; +} +pre:hover > .buttons { + visibility: visible; + opacity: 1 +} +pre > .buttons :hover { + color: var(--sidebar-active); + border-color: var(--icons-hover); + background-color: var(--theme-hover); +} +pre > .buttons i { + margin-left: 8px; +} +pre > .buttons button { + cursor: inherit; + margin: 0px 5px; + padding: 3px 5px; + font-size: 14px; + + border-style: solid; + border-width: 1px; + border-radius: 4px; + border-color: var(--icons); + background-color: var(--theme-popup-bg); + transition: 100ms; + transition-property: color,border-color,background-color; + color: var(--icons); +} +@media (pointer: coarse) { + pre > .buttons button { + /* On mobile, make it easier to tap buttons. */ + padding: 0.3rem 1rem; + } +} +pre > code { + padding: 1rem; +} + +/* FIXME: ACE editors overlap their buttons because ACE does absolute + positioning within the code block which breaks padding. The only solution I + can think of is to move the padding to the outer pre tag (or insert a div + wrapper), but that would require fixing a whole bunch of CSS rules. +*/ +.hljs.ace_editor { + padding: 0rem 0rem; +} + +pre > .result { + margin-top: 10px; +} + +/* Search */ + +#searchresults a { + text-decoration: none; +} + +mark { + border-radius: 2px; + padding: 0 3px 1px 3px; + margin: 0 -3px -1px -3px; + background-color: var(--search-mark-bg); + transition: background-color 300ms linear; + cursor: pointer; +} + +mark.fade-out { + background-color: rgba(0,0,0,0) !important; + cursor: auto; +} + +.searchbar-outer { + margin-left: auto; + margin-right: auto; + max-width: var(--content-max-width); +} + +#searchbar { + width: 100%; + margin: 5px auto 0px auto; + padding: 10px 16px; + transition: box-shadow 300ms ease-in-out; + border: 1px solid var(--searchbar-border-color); + border-radius: 3px; + background-color: var(--searchbar-bg); + color: var(--searchbar-fg); +} +#searchbar:focus, +#searchbar.active { + box-shadow: 0 0 3px var(--searchbar-shadow-color); +} + +.searchresults-header { + font-weight: bold; + font-size: 1em; + padding: 18px 0 0 5px; + color: var(--searchresults-header-fg); +} + +.searchresults-outer { + margin-left: auto; + margin-right: auto; + max-width: var(--content-max-width); + border-bottom: 1px dashed var(--searchresults-border-color); +} + +ul#searchresults { + list-style: none; + padding-left: 20px; +} +ul#searchresults li { + margin: 10px 0px; + padding: 2px; + border-radius: 2px; +} +ul#searchresults li.focus { + background-color: var(--searchresults-li-bg); +} +ul#searchresults span.teaser { + display: block; + clear: both; + margin: 5px 0 0 20px; + font-size: 0.8em; +} +ul#searchresults span.teaser em { + font-weight: bold; + font-style: normal; +} + +/* Sidebar */ + +.sidebar { + position: fixed; + left: 0; + top: 0; + bottom: 0; + width: var(--sidebar-width); + font-size: 0.875em; + box-sizing: border-box; + -webkit-overflow-scrolling: touch; + overscroll-behavior-y: contain; + background-color: var(--sidebar-bg); + color: var(--sidebar-fg); +} +.sidebar-resizing { + -moz-user-select: none; + -webkit-user-select: none; + -ms-user-select: none; + user-select: none; +} +.js:not(.sidebar-resizing) .sidebar { + transition: transform 0.3s; /* Animation: slide away */ +} +.sidebar code { + line-height: 2em; +} +.sidebar .sidebar-scrollbox { + overflow-y: auto; + position: absolute; + top: 0; + bottom: 0; + left: 0; + right: 0; + padding: 10px 10px; +} +.sidebar .sidebar-resize-handle { + position: absolute; + cursor: col-resize; + width: 0; + right: 0; + top: 0; + bottom: 0; +} +.js .sidebar .sidebar-resize-handle { + cursor: col-resize; + width: 5px; +} +.sidebar-hidden .sidebar { + transform: translateX(calc(0px - var(--sidebar-width))); +} +.sidebar::-webkit-scrollbar { + background: var(--sidebar-bg); +} +.sidebar::-webkit-scrollbar-thumb { + background: var(--scrollbar); +} + +.sidebar-visible .page-wrapper { + transform: translateX(var(--sidebar-width)); +} +@media only screen and (min-width: 620px) { + .sidebar-visible .page-wrapper { + transform: none; + margin-left: var(--sidebar-width); + } +} + +.chapter { + list-style: none outside none; + padding-left: 0; + line-height: 2.2em; +} + +.chapter ol { + width: 100%; +} + +.chapter li { + display: flex; + color: var(--sidebar-non-existant); +} +.chapter li a { + display: block; + padding: 0; + text-decoration: none; + color: var(--sidebar-fg); +} + +.chapter li.chapter-item div { + color: var(--sidebar-fg); + filter: brightness(60%); +} + +.chapter li a:hover { + color: var(--sidebar-active); +} + +.chapter li a.active { + color: var(--sidebar-active); +} + +.chapter li > a.toggle { + cursor: pointer; + display: block; + margin-left: auto; + padding: 0 10px; + user-select: none; + opacity: 0.68; +} + +.chapter li > a.toggle div { + transition: transform 0.5s; +} + +/* collapse the section */ +.chapter li:not(.expanded) + li > ol { + display: none; +} + +.chapter li.chapter-item { + line-height: 1.5em; + margin-top: 0.6em; +} + +.chapter li.expanded > a.toggle div { + transform: rotate(90deg); +} + +.spacer { + width: 100%; + height: 3px; + margin: 5px 0px; +} +.chapter .spacer { + background-color: var(--sidebar-spacer); +} + +@media (-moz-touch-enabled: 1), (pointer: coarse) { + .chapter li a { padding: 5px 0; } + .spacer { margin: 10px 0; } +} + +.section { + list-style: none outside none; + padding-left: 20px; + line-height: 1.9em; +} + +/* Theme Menu Popup */ + +.theme-popup { + position: absolute; + left: 10px; + top: var(--menu-bar-height); + z-index: 1000; + border-radius: 4px; + font-size: 0.7em; + color: var(--fg); + background: var(--theme-popup-bg); + border: 1px solid var(--theme-popup-border); + margin: 0; + padding: 0; + list-style: none; + display: none; + /* Don't let the children's background extend past the rounded corners. */ + overflow: hidden; +} +.theme-popup .default { + color: var(--icons); +} +.theme-popup .theme { + width: 100%; + border: 0; + margin: 0; + padding: 2px 20px; + line-height: 25px; + white-space: nowrap; + text-align: left; + cursor: pointer; + color: inherit; + background: inherit; + font-size: inherit; +} +.theme-popup .theme:hover { + background-color: var(--theme-hover); +} + +.theme-selected::before { + display: inline-block; + content: "✓"; + margin-left: -14px; + width: 14px; +} \ No newline at end of file diff --git a/book/css/general.css b/book/css/general.css new file mode 100644 index 00000000..3de43ae4 --- /dev/null +++ b/book/css/general.css @@ -0,0 +1,251 @@ +/* Base styles and content styles */ + +@import "variables.css"; + +:root { + /* Browser default font-size is 16px, this way 1 rem = 10px */ + font-size: 62.5%; +} + +html { + font-family: var(--main-font); + color: var(--fg); + background-color: var(--bg); + text-size-adjust: none; + -webkit-text-size-adjust: none; +} + +body { + margin: 0; + font-size: 1.6rem; + overflow-x: hidden; +} + +code { + font-family: var(--mono-font) !important; + font-size: var(--code-font-size); +} + +/* make long words/inline code not x overflow */ +main { + overflow-wrap: break-word; +} + +/* make wide tables scroll if they overflow */ +.table-wrapper { + overflow-x: auto; +} + +/* Don't change font size in headers. */ +h1 code, +h2 code, +h3 code, +h4 code, +h5 code, +h6 code { + font-size: unset; +} + +.left { + float: left; +} +.right { + float: right; +} +.boring { + opacity: 0.6; +} +.hide-boring .boring { + display: none; +} +.hidden { + display: none !important; +} + +h2, +h3 { + margin-top: 2.5em; +} +h4, +h5 { + margin-top: 2em; +} + +.header + .header h3, +.header + .header h4, +.header + .header h5 { + margin-top: 1em; +} + +h1:target::before, +h2:target::before, +h3:target::before, +h4:target::before, +h5:target::before, +h6:target::before { + display: inline-block; + content: "»"; + margin-left: -30px; + width: 30px; +} + +/* This is broken on Safari as of version 14, but is fixed + in Safari Technology Preview 117 which I think will be Safari 14.2. + https://bugs.webkit.org/show_bug.cgi?id=218076 +*/ +:target { + scroll-margin-top: calc(var(--menu-bar-height) + 0.5em); +} + +.page { + outline: 0; + padding: 0 var(--page-padding); + margin-top: calc( + 0px - var(--menu-bar-height) + ); /* Compensate for the #menu-bar-hover-placeholder */ +} +.page-wrapper { + box-sizing: border-box; +} +.js:not(.sidebar-resizing) .page-wrapper { + transition: margin-left 0.3s ease, transform 0.3s ease; /* Animation: slide away */ +} + +.content { + overflow-y: auto; + min-height: 70vh; + padding: 0 5px 50px 5px; +} +.content main { + margin-left: auto; + margin-right: auto; + max-width: var(--content-max-width); +} +.content p { + line-height: 1.45em; +} +.content ol { + line-height: 1.45em; +} +.content ul { + line-height: 1.45em; +} +.content a { + text-decoration: none; +} +.content a:hover { + text-decoration: underline; +} +.content img, +.content video { + max-width: 100%; +} +.content h1 .header:link, +.content h1 .header:visited { + color: var(--title-fg); +} +h2, +h3, +h4, +h5, +h6, +.content .header:link, +.content .header:visited { + color: var(--subtitle-fg); +} + +.content .header:link, +.content .header:visited:hover { + text-decoration: none; +} + +table { + margin: 0 auto; + border-collapse: collapse; +} +table td { + padding: 3px 20px; + border: 1px var(--table-border-color) solid; +} +table thead { + background: var(--table-header-bg); +} +table thead td { + font-weight: 700; + border: none; +} +table thead th { + padding: 3px 20px; +} +table thead tr { + border: 1px var(--table-header-bg) solid; +} +/* Alternate background colors for rows */ +table tbody tr:nth-child(2n) { + background: var(--table-alternate-bg); +} + +blockquote { + margin: 20px 0; + padding: 0 20px; + color: var(--fg); + background-color: var(--quote-bg); + border-top: 0.1em solid var(--quote-border); + border-bottom: 0.1em solid var(--quote-border); +} + +kbd { + background-color: var(--table-border-color); + border-radius: 4px; + border: solid 1px var(--theme-popup-border); + box-shadow: inset 0 -1px 0 var(--theme-hover); + display: inline-block; + font-size: var(--code-font-size); + font-family: var(--mono-font); + line-height: 10px; + padding: 4px 5px; + vertical-align: middle; +} + +:not(.footnote-definition) + .footnote-definition, +.footnote-definition + :not(.footnote-definition) { + margin-top: 2em; +} +.footnote-definition { + font-size: 0.9em; + margin: 0.5em 0; +} +.footnote-definition p { + display: inline; +} + +.tooltiptext { + position: absolute; + visibility: hidden; + color: #fff; + background-color: #333; + transform: translateX( + -50% + ); /* Center by moving tooltip 50% of its width left */ + left: -8px; /* Half of the width of the icon */ + top: -35px; + font-size: 0.8em; + text-align: center; + border-radius: 6px; + padding: 5px 8px; + margin: 5px; + z-index: 1000; +} +.tooltipped .tooltiptext { + visibility: visible; +} + +.chapter li.part-title { + color: var(--sidebar-fg); + margin: 5px 0px; + font-weight: bold; +} + +.result-no-output { + font-style: italic; +} diff --git a/book/css/print.css b/book/css/print.css new file mode 100644 index 00000000..80ec3a54 --- /dev/null +++ b/book/css/print.css @@ -0,0 +1,50 @@ + +#sidebar, +#menu-bar, +.nav-chapters, +.mobile-nav-chapters { + display: none; +} + +#page-wrapper.page-wrapper { + transform: none !important; + margin-inline-start: 0px; + overflow-y: initial; +} + +#content { + max-width: none; + margin: 0; + padding: 0; +} + +.page { + overflow-y: initial; +} + +code { + direction: ltr !important; +} + +pre > .buttons { + z-index: 2; +} + +a, a:visited, a:active, a:hover { + color: #4183c4; + text-decoration: none; +} + +h1, h2, h3, h4, h5, h6 { + page-break-inside: avoid; + page-break-after: avoid; +} + +pre, code { + page-break-inside: avoid; + white-space: pre-wrap; +} + +.fa { + display: none !important; +} diff --git a/book/css/variables.css b/book/css/variables.css new file mode 100644 index 00000000..2b53e2eb --- /dev/null +++ b/book/css/variables.css @@ -0,0 +1,399 @@ + +/* Globals */ + +:root { + --sidebar-width: 300px; + --page-padding: 15px; + --content-max-width: 750px; + --menu-bar-height: 50px; + + --mono-font: "Source Code Pro", Consolas, "Ubuntu Mono", Menlo, "DejaVu Sans Mono", monospace, monospace; + --code-font-size: 0.875em /* please adjust the ace font size accordingly in editor.js */ + + /* axomdbook mods to add some more knobs to themes */ + --title-fg: var(--fg); + --subtitle-fg: var(--title-fg); + --main-font: "Open Sans", sans-serif; +} + +/* Themes */ + +.ayu { + --bg: hsl(210, 25%, 8%); + --fg: #c5c5c5; + + --sidebar-bg: #14191f; + --sidebar-fg: #c8c9db; + --sidebar-non-existant: #5c6773; + --sidebar-active: #ffb454; + --sidebar-spacer: #2d334f; + + --scrollbar: var(--sidebar-fg); + + --icons: #737480; + --icons-hover: #b7b9cc; + + --links: #0096cf; + + --inline-code-color: #ffb454; + + --theme-popup-bg: #14191f; + --theme-popup-border: #5c6773; + --theme-hover: #191f26; + + --quote-bg: hsl(226, 15%, 17%); + --quote-border: hsl(226, 15%, 22%); + + --table-border-color: hsl(210, 25%, 13%); + --table-header-bg: hsl(210, 25%, 28%); + --table-alternate-bg: hsl(210, 25%, 11%); + + --searchbar-border-color: #848484; + --searchbar-bg: #424242; + --searchbar-fg: #fff; + --searchbar-shadow-color: #d4c89f; + --searchresults-header-fg: #666; + --searchresults-border-color: #888; + --searchresults-li-bg: #252932; + --search-mark-bg: #e3b171; +} + +.coal { + --bg: hsl(200, 7%, 8%); + --fg: #98a3ad; + + --sidebar-bg: #292c2f; + --sidebar-fg: #a1adb8; + --sidebar-non-existant: #505254; + --sidebar-active: #3473ad; + --sidebar-spacer: #393939; + + --scrollbar: var(--sidebar-fg); + + --icons: #43484d; + --icons-hover: #b3c0cc; + + --links: #2b79a2; + + --inline-code-color: #c5c8c6; + + --theme-popup-bg: #141617; + --theme-popup-border: #43484d; + --theme-hover: #1f2124; + + --quote-bg: hsl(234, 21%, 18%); + --quote-border: hsl(234, 21%, 23%); + + --table-border-color: hsl(200, 7%, 13%); + --table-header-bg: hsl(200, 7%, 28%); + --table-alternate-bg: hsl(200, 7%, 11%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #b7b7b7; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #98a3ad; + --searchresults-li-bg: #2b2b2f; + --search-mark-bg: #355c7d; +} + +.light { + --bg: hsl(0, 0%, 100%); + --fg: hsl(0, 0%, 0%); + + --sidebar-bg: #fafafa; + --sidebar-fg: hsl(0, 0%, 0%); + --sidebar-non-existant: #aaaaaa; + --sidebar-active: #1f1fff; + --sidebar-spacer: #f4f4f4; + + --scrollbar: #8F8F8F; + + --icons: #747474; + --icons-hover: #000000; + + --links: #20609f; + + --inline-code-color: #301900; + + --theme-popup-bg: #fafafa; + --theme-popup-border: #cccccc; + --theme-hover: #e6e6e6; + + --quote-bg: hsl(197, 37%, 96%); + --quote-border: hsl(197, 37%, 91%); + + --table-border-color: hsl(0, 0%, 95%); + --table-header-bg: hsl(0, 0%, 80%); + --table-alternate-bg: hsl(0, 0%, 97%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #fafafa; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #888; + --searchresults-li-bg: #e4f2fe; + --search-mark-bg: #a2cff5; +} + +.navy { + --bg: hsl(226, 23%, 11%); + --fg: #bcbdd0; + + --sidebar-bg: #282d3f; + --sidebar-fg: #c8c9db; + --sidebar-non-existant: #505274; + --sidebar-active: #2b79a2; + --sidebar-spacer: #2d334f; + + --scrollbar: var(--sidebar-fg); + + --icons: #737480; + --icons-hover: #b7b9cc; + + --links: #2b79a2; + + --inline-code-color: #c5c8c6; + + --theme-popup-bg: #161923; + --theme-popup-border: #737480; + --theme-hover: #282e40; + + --quote-bg: hsl(226, 15%, 17%); + --quote-border: hsl(226, 15%, 22%); + + --table-border-color: hsl(226, 23%, 16%); + --table-header-bg: hsl(226, 23%, 31%); + --table-alternate-bg: hsl(226, 23%, 14%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #aeaec6; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #5f5f71; + --searchresults-border-color: #5c5c68; + --searchresults-li-bg: #242430; + --search-mark-bg: #a2cff5; +} + +.rust { + --bg: hsl(60, 9%, 87%); + --fg: #262625; + + --sidebar-bg: #3b2e2a; + --sidebar-fg: #c8c9db; + --sidebar-non-existant: #505254; + --sidebar-active: #e69f67; + --sidebar-spacer: #45373a; + + --scrollbar: var(--sidebar-fg); + + --icons: #737480; + --icons-hover: #262625; + + --links: #2b79a2; + + --inline-code-color: #6e6b5e; + + --theme-popup-bg: #e1e1db; + --theme-popup-border: #b38f6b; + --theme-hover: #99908a; + + --quote-bg: hsl(60, 5%, 75%); + --quote-border: hsl(60, 5%, 70%); + + --table-border-color: hsl(60, 9%, 82%); + --table-header-bg: #b3a497; + --table-alternate-bg: hsl(60, 9%, 84%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #fafafa; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #888; + --searchresults-li-bg: #dec2a2; + --search-mark-bg: #e69f67; +} + +@media (prefers-color-scheme: dark) { + .light.no-js { + --bg: hsl(200, 7%, 8%); + --fg: #98a3ad; + + --sidebar-bg: #292c2f; + --sidebar-fg: #a1adb8; + --sidebar-non-existant: #505254; + --sidebar-active: #3473ad; + --sidebar-spacer: #393939; + + --scrollbar: var(--sidebar-fg); + + --icons: #43484d; + --icons-hover: #b3c0cc; + + --links: #2b79a2; + + --inline-code-color: #c5c8c6; + + --theme-popup-bg: #141617; + --theme-popup-border: #43484d; + --theme-hover: #1f2124; + + --quote-bg: hsl(234, 21%, 18%); + --quote-border: hsl(234, 21%, 23%); + + --table-border-color: hsl(200, 7%, 13%); + --table-header-bg: hsl(200, 7%, 28%); + --table-alternate-bg: hsl(200, 7%, 11%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #b7b7b7; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #98a3ad; + --searchresults-li-bg: #2b2b2f; + --search-mark-bg: #355c7d; + } +} + +/* oranda theme gets injected here */ +.oranda-dark { + /* + This part is just defining constants that are consistent + between both oranda themes, which oranda-css should probably + be injecting into this file. For now, they're hardcoded. + */ + --dark-color: #141414; + --light-color: #ffffff; + --link-color: #0284c7; + --light-highlight-bg-color: #ededed; + --light-highlight-fg-color: #595959; + --dark-highlight-bg-color: #595959; + --dark-highlight-fg-color: #ededed; + --font-face: "Fira Sans", sans-serif; + + /* + Here we select which colors/fonts to use for this specific theme. + This first block calls a lot of the shots, most other definitions just + defer to these values. + */ + --bg: var(--dark-color); + --fg: var(--light-color); + --well-bg: var(--dark-color); + --well-bg-highlight: var(--dark-color); + --title-fg: var(--light-color); + --subtitle-fg: var(--light-color); + --border-color: var(--dark-highlight-fg-color); + --main-font: var(--font-face); + --mono-font: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, + Liberation Mono, Courier New, monospace; + + --sidebar-bg: var(--bg); + --sidebar-fg: var(--fg); + --sidebar-non-existant: var(--bg); + --sidebar-active: var(--link-color); + --sidebar-spacer: var(--border-color); + + --scrollbar: default; + + --icons: var(--light-color); + --icons-hover: var(--light-color); + + --links: var(--link-color); + --links-hover: var(--link-color); + + --inline-code-color: var(--link-color); + + --theme-popup-bg: var(--well-bg); + --theme-popup-border: var(--border-color); + --theme-hover: var(--well-bg-highlight); + + --quote-bg: var(--bg); + --quote-border: var(--border-color); + + --table-border-color: var(--border-color); + --table-header-bg: var(--well-bg-highlight); + --table-alternate-bg: var(--well-bg); + + --searchbar-border-color: var(--border-color); + --searchbar-bg: var(--well-bg); + --searchbar-fg: var(--fg); + --searchbar-shadow-color: var(--border-color); + --searchresults-header-fg: var(--title-fg); + --searchresults-border-color: var(--border-color); + --searchresults-li-bg: var(--well-bg); + --search-mark-bg: var(--links); +} + +.oranda-light { + /* + This part is just defining constants that are consistent + between both oranda themes, which fringe/oranda-css should probably + be injecting into this file. For now, they're hardcoded. + */ + --dark-color: #141414; + --light-color: #ffffff; + --link-color: #0284c7; + --light-highlight-bg-color: #ededed; + --light-highlight-fg-color: #595959; + --dark-highlight-bg-color: #595959; + --dark-highlight-fg-color: #ededed; + --font-face: "Fira Sans", sans-serif; + + /* + Here we select which colors/fonts to use for this specific theme. + This first block calls a lot of the shots, most other definitions just + defer to these values. + */ + --bg: var(--light-color); + --fg: var(--dark-color); + --well-bg: var(--light-color); + --well-bg-highlight: var(--light-color); + --title-fg: var(--dark-color); + --subtitle-fg: var(--dark-color); + --border-color: var(--dark-color); + --main-font: var(--font-face); + --mono-font: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, + Liberation Mono, Courier New, monospace; + + --sidebar-bg: var(--bg); + --sidebar-fg: var(--fg); + --sidebar-non-existant: var(--bg); + --sidebar-active: var(--link-color); + --sidebar-spacer: var(--border-color); + + --scrollbar: default; + + --icons: var(--dark-color); + --icons-hover: var(--dark-color); + + --links: var(--link-color); + --links-hover: var(--link-color); + + --inline-code-color: var(--link-color); + + --theme-popup-bg: var(--well-bg); + --theme-popup-border: var(--border-color); + --theme-hover: var(--well-bg-highlight); + + --quote-bg: var(--bg); + --quote-border: var(--border-color); + + --table-border-color: var(--border-color); + --table-header-bg: var(--well-bg-highlight); + --table-alternate-bg: var(--well-bg); + + --searchbar-border-color: var(--border-color); + --searchbar-bg: var(--well-bg); + --searchbar-fg: var(--fg); + --searchbar-shadow-color: var(--border-color); + --searchresults-header-fg: var(--title-fg); + --searchresults-border-color: var(--border-color); + --searchresults-li-bg: var(--well-bg); + --search-mark-bg: var(--links); +} + diff --git a/book/editor.js b/book/editor.js new file mode 100644 index 00000000..464790c4 --- /dev/null +++ b/book/editor.js @@ -0,0 +1,29 @@ +"use strict"; +window.editors = []; +(function(editors) { + if (typeof(ace) === 'undefined' || !ace) { + return; + } + + Array.from(document.querySelectorAll('.editable')).forEach(function(editable) { + let display_line_numbers = window.playground_line_numbers || false; + + let editor = ace.edit(editable); + editor.setOptions({ + highlightActiveLine: false, + showPrintMargin: false, + showLineNumbers: display_line_numbers, + showGutter: display_line_numbers, + maxLines: Infinity, + fontSize: "0.875em" // please adjust the font size of the code in general.css + }); + + editor.$blockScrolling = Infinity; + + editor.getSession().setMode("ace/mode/rust"); + + editor.originalCode = editor.getValue(); + + editors.push(editor); + }); +})(window.editors); diff --git a/book/elasticlunr.min.js b/book/elasticlunr.min.js new file mode 100644 index 00000000..94b20dd2 --- /dev/null +++ b/book/elasticlunr.min.js @@ -0,0 +1,10 @@ +/** + * elasticlunr - http://weixsong.github.io + * Lightweight full-text search engine in Javascript for browser search and offline search. - 0.9.5 + * + * Copyright (C) 2017 Oliver Nightingale + * Copyright (C) 2017 Wei Song + * MIT Licensed + * @license + */ +!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default 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this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o + + + + + About containers - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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About containers

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There are several ways scaphandre can interact with containers.

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You may run scaphandre in a container, to not have to manage the dependencies, then measure the power consumption of the bare metal host. This is described in the quickstart tutorial. Note that you need to expose /sys/class/powercap and /proc as volumes in the container to allow scaphandre to get the relevant metrics from the bare metal host.

+

Scaphandre may help you measure the power consumption of containers running on a given host. You can already get to that goal using the tips provided in the howto section called "Get process level power consumption". It may still require some tweaking and inventiveness from you in making the approriate queries to your favorite TSDB. This should be made easier by the upcoming scaphandre features.

+

Another use case scenario is measuring the power consumption of a container orchestrator (like kubernetes), its nodes and the containers and applications running on it. Scaphandre can be installed on Kubernetes via the Helm chart and there is a tutorial for installing it along with Prometheus and Grafana to view the metrics.

+

As described here, scaphandre provides several ways (sensors) to collect the power consumption metrics. Depending on your use case a sensor should be more suitable than the other. Each of them comes with strengths and weaknesses. This is basically always a tradeoff between precision and simplicity. This is especially true if you run a container-based workloads on public cloud instances. We are working to provide a solution for that as well.

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+ + diff --git a/book/explanations/host_metrics.html b/book/explanations/host_metrics.html new file mode 100644 index 00000000..688317b7 --- /dev/null +++ b/book/explanations/host_metrics.html @@ -0,0 +1,226 @@ + + + + + + Explanations about host level power and energy metrics - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Explanations about host level power and energy metrics.

+

This is true starting from Scaphandre >= 1.0.

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There are several metrics available at the host level in Scaphandre:

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    +
  • scaph_host_power_microwatts : always returned, computed from Record structs made from scaph_host_energy_microjoules metric
    • +
  • scaph_host_energy_microjoules : always returned, either one value or a sum of values coming directly from RAPL counters (energy_uj files or direct read from an MSR)
    • +
  • scaph_host_rapl_psys_microjoules : is available only when the PSYS RAPL domain is available on the machine.
    • +
+

In addition to those metrics, you might want to build, on your time series database, the sum of process_ metrics to have a view of the weight of all processes on the host power. Using Prometheus, it would look like: sum(scaph_process_power_consumption_microwatts{hostname="$hostname"}) / 1000000, to get it in Watts.

+

Let's explain the relationship between those metrics, and what you could expect.

+

host_power metric will return :

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  1. If PSYS domain is available, a computed power coming from PSYS energy records
    2. +
  2. If not, a computed power which is the sum of per-socket power (PKG RAPL domain) + DRAM RAPL domain power
    3. +
+

Briefly explained (see RAPL domains for detailled explanations), PSYS covers most components on the machine ("all components connected to the SoC / motherboard" according to most documentations), so we return this wider ranged metric when available. If not we use a combination of PKG domain, that includes CPU and integrated GPU power, and DRAM domain, that includes memory power. The first options gives higher figures than the second, for now.

+

Suming the power of all processes, if the machine is mostly IDLE, you'll get a tiny percentage of the host machine, most likely. The difference between host power and the sum of processes power can be accounted as "power due to IDLE activity", in other words the power your machine demands for "doing nothing". The higher this difference on a long period of time (better seen as a graph), the higher chance that there is room for improvement in moving the workloads to another machine and shut the current machine down (and make it available for another project or to another organization to prevent from buying a new machine).

+

Warning: that being said, the way per-process power is computed is still biased and shall be improved in the following versions of Scaphandre. For now, the main key for allocation is CPU time. As host level power metrics include power usage of more and more components on the machine (work in progress) this allocation key will be more and more inaccurate. Future versions of this allocation model should include keys regarding the activity of other components than CPU. Enabling a better set of allocation keys for per-process power is part of the roadmap.

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+ + diff --git a/book/explanations/how-scaph-computes-per-process-power-consumption.html b/book/explanations/how-scaph-computes-per-process-power-consumption.html new file mode 100644 index 00000000..54848612 --- /dev/null +++ b/book/explanations/how-scaph-computes-per-process-power-consumption.html @@ -0,0 +1,254 @@ + + + + + + How scaphandre computes per process power consumption - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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How scaphandre computes per process power consumption

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Scaphandre is a tool that makes it possible to see the power being used by a single process on a computer.

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This sounds like a simple thing thing to be able to do, but in practice a number of details can make this more complex.

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So having a good mental model of how it works will make it easier to understand when and how to use Scaphandre. Let's start with a simplified mental model below, before moving on to multiple processors or virtual machines - but once you understand the key ideas outlined below, it's easier to see how they can be applied to thinking about tracking power on virtual machines, or when multiple processors are available.

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How a computer works on multiple jobs at the same time

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When we first think about how much energy a single process running in a computer might use, we might start with a mental model that looks like the figure below, with large, uninterrupted chunks of compute time allocated to each process.

+

This is easy to understand, and it matches how we might be billed for a share of a larger machine when paying for cloud services.

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what scaphandre does - per process power usage

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Timesharing of work

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However, if the reality was exactly like this diagram, our computers would only ever be able to do one thing at a time. It's more accurate and helpful to think of computers working on lots of different jobs at the same time - they work on one job for short interval of time, then another, and another and so one. You'll often see these small intervals of time referred to as jiffies.

+

work on jobs is split into jiffies

+

In a given amount of time, some jobs that are prioritized or more resource intensive will use more jiffies than others. Fortunately, each job keeps a running total of the total jiffies allocated to it, so if we know how many jiffies have been used in total, it can give us an idea how much of a machine's resources are being used by a given process.

+

work on jobs is split into jiffies

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Going from share of resources to actual power figures

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It's possible without Scaphandre to understand how large a share of a machines' resources are being used by a given process.

+

This is useful, by itself, but if we want to understand how much power is used per process, not just the share of the machine's resources, we need to know how much power is being used by the machine in absolute terms.

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To do this, we need a sensor of some kind to track power usage by the machine itself. Some servers have these, like with Intel's RAPL sensors, which we cover this in more detail later on. This makes it possible to understand how much power is being used by CPUs, GPUs and so on, in terms of watts, or, if we are looking at just a single process, various fractions of a watt.

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Sensors provide power over time

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To understand the power used by a single process we combine both of these ideas. We count the jiffies used by our job when it's being worked on, and for each jiffy, we check how much power is being drawn at those moments in time.

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Combined we can see how much the power during 'our' jiffies

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Finally, when we group together all the power readings for all our jiffies over a given time period, we can arrive at a usable figure for how much power has been used, in terms of watt hours.

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Once we have a figure in terms of watt hours, there are various ways we can convert this to environmental impact. A common way is to use an emission factor for the electricity used, to turn the power consumption data into an estimate of associated carbon emissions.

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Combined we can see how much the power during 'our' jiffies

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Working with virtualisation and multiple processors

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While the reality is again more complicated than the diagram below, the same ideas broadly apply when you introduce multiple processors too.

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If you are able to read from sensors that can share how much power is being used by the various processors at work, and know how much of the time is being allocated to our processes during those moments, you can get a good idea of what these figures are, at a per-process level.

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Seeing this with multiple processors

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Things get a bit more complicated with virtualised environments, because in many cases, virtual machines only have a partial view of the system they are part of, and frequently do not have access to any power usage figures from the host physical machine.

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However, if a guest virtual machine or guest container does have access to readings provided by the host physical machine, it is possible to work out the same kinds of per-process power figures. Scaphandre supports exposing these kinds of power readings to virtual machines and containers, which means, if you are running on infrastructure that is running scaphandre and exposing these readings, you can see these figures for the energy used by your own processes.

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+

More details about how Scaphandre works

+

As you can see with the prometheus exporter reference, scaphandre exporters can provide process level power consumption metrics. This section will explain how it is done and how it may be improved in the future.

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Some details about RAPL

+

We'll talk here about the case where scaphandre is able to effectively measure the power consumption of the host (see compatibility section for more on sensors and their prerequisites) and specifically about the PowercapRAPL sensor.

+

Let's clarify what's happening when you collect metrics with scaphandre and the RAPL sensor. +RAPL stands for Running Average Power Limit. It's a technology embedded in most Intel and AMD x86 CPUs produced after 2012.

+

Thanks to this technology it is possible to get the total energy consumption of the CPU, of the consumption per CPU socket, plus in some cases, the consumption of the DRAM controller. In most cases it represents the vast majority of the energy consumption of the machine (except when running GPU intensive workloads, for example).

+

Further improvements shall be made in scaphandre to fully measure the consumption when GPU are involved (or a lot of hard drives on the same host...).

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Between scaphandre and this data is the powercap kernel module that writes the energy consumption to files. Scaphandre reads those files, stores the data in buffers and then allows for more processing through the exporters.

+

How to get the consumption of one process ?

+

The PowercapRAPL sensor does actually more than just collecting those energy consumption metrics (and converting them to power consumption metrics).

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Every time the exporter asks for a measurement (either periodically like in the Stdout exporter, or every time a request comes as would be the case for the Prometheus exporter) the sensor reads the values of the energy counters from powercap. It then stores those values, and does the same for the CPU usage statistics of the CPU (the one you can see in /proc/stats) and for each running process on the machine at that time (see /proc/PID/stats).

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With this data it is possible to compute the ratio of CPU time actively spent for a given PID on the CPU time actively spent doing something. With this ratio we can then get the subset of power consumption that is related to that PID on a given timeframe (between two measurement requests).

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How to get the consumption of an application/a service ?

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Services and programs are often not running on only one PID. It's needed to aggregate the consumption of all related PIDs to know what this service is actually consuming.

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To do that, in the current state of scaphandre development, you can use the Prometheus exporter, and then use Prometheus and its query language capabilities. You'll find examples looking at the graphs and queries here. In a near future, more advanced features may be implemented in scaphandre to allow such classification even if you don't have access to a proper Time Series database (TSDB).

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+ + diff --git a/book/explanations/internal-structure.html b/book/explanations/internal-structure.html new file mode 100644 index 00000000..c2512f90 --- /dev/null +++ b/book/explanations/internal-structure.html @@ -0,0 +1,227 @@ + + + + + + Internal structure - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Internal structure

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Scaphandre is designed to be extensible. As it performs basically two tasks: collecting/pre-computing the power consumption metrics and publishing it, it is composed of two main components: a sensor and an exporter. Each can be implemented in different ways to match a certain use case. When you run scaphandre from the command line, -s allows you to choose the sensor you want to use, and the next subcommand is the name of the exporter.

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Sensors

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Sensors are meant to:

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    +
  1. get the power consumptions metrics of the host
    2. +
  2. make it available for the exporter
    3. +
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The PowercapRAPL for instance, gets and transforms metrics coming from the powercap Linux kernel module, that serves as an interface to get the data from the RAPL feature of x86 CPUs. Because this feature is only accessible when you are running on a bare metal machine, this sensor will not work in a virtual machine, except if you first run scaphandre on the hypervisor and make the VM metrics available, with the qemu exporter, to scaphandre running inside the virtual machine.

+

When you don't have access to the hypervisor/bare-metal machine (ie. when you run on public cloud instances and your provider doesn't run scaphandre) you still have the option to estimate the power consumption, based on both the ressources (cpu/gpu/ram/io...) consumed by the virtual machine at a given time, and the characteristics of the underlying hardware. This is the way we are designing the future estimation-based sensor, to match that use case.

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Looking at the code, you'll find that the interface between metrics and the exporters is in fact the Topology object. This is intended to be asked by the exporter through the get_topology method of the sensor.

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Exporters

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An exporter is expected to:

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  1. ask the sensors to get new metrics and store them for later, potential usage
    2. +
  2. export the current metrics
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The Stdout exporter exposes the metrics on the standard output (in your terminal). The prometheus exporter exposes the metrics on an HTTP endpoint, to be scraped by a prometheus instance. An exporter should be created for each monitoring scenario (do you want to feed your favorite monitoring/data analysis tool with scaphandre metrics ? feel free to open a PR to create a new exporter !).

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As introduced in the sensors section, the Qemu exporter, is very specific. It is only intended to collect metrics related to running virtual machines on a Qemu/KVM hypervisor. Those metrics can then be made available to each virtual machine and their own scaphandre instance, running the PowercapRAPL sensor (with the --vm flag on). The qemu exporter puts VM's metrics in files the same way the powercap kernel module does it. It mimics this behavior, so the sensor can act the same way it would on a bare metal machine.

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+ + diff --git a/book/explanations/rapl-domains.html b/book/explanations/rapl-domains.html new file mode 100644 index 00000000..db6fd959 --- /dev/null +++ b/book/explanations/rapl-domains.html @@ -0,0 +1,221 @@ + + + + + + About RAPL domains - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Explanation on RAPL / Running Average Power Limit domains: what we (think we) know so far

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RAPL stands for "Running Average Power Limit", it is a feature on Intel/AMD x86 CPU's (manufactured after 2012) that allows to set limits on power used by the CPU and other components. This feature also allows to just get "measurements" (mind the double quotes, as at least part of the numbers RAPL gives are coming from estimations/modeling) of components power usage.

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RAPL domains

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It is composed of "domains", that, in 2023, may include:

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    +
  • Core/PP0: Energy consumed by the CPU Cores themselves.
    • +
  • Uncore/PP1: Energy consumed by components close to the CPU : most of the time it means the embedded GPU chipset.
    • +
  • Dram: Energy consumed by the memory/RAM sticks
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  • Package/PKG: Includes "Core" and "Uncore". In some documentations and in some of our experiments it seem to include "Dram", but this doesn't seem true in every cases.
    • +
  • PSys: We don't have a clear understanding on this one (yet). But most documentations refer to it with words similar to "PSys: (introduced with Intel Skylake) monitors and controls the thermal and power specifications of the entire SoC and it is useful especially when the source of the power consumption is neither the CPU nor the GPU. For multi-socket server systems, each socket reports its own RAPL values.". To summarize, Psys seems like an interesting metric to get energy consumed by a motherboard and connected components (which includes RAPL usual suspects but also WiFi/Bluetooth cards and probably more). If you want to know more about this metric, we gathered references/sources here. If you want to help us understanding and documenting better this metric, please consider constributing to the Energizta project.
    • +
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RAPL documentation from Intel doesn't necessarily give very precise informations about how RAPL behaves depending on the platform, or about what is included in the calculation. Actively looking for other experimentations/feedbacks/documentations is needed. You might find some informations gathered here: awesome-energy. If you have more or more precise informations and are willing to contribute, don't hesitate to open a PR to dev branch on scaphandre's repository (targeting docs_src folder) and/or the awesome-energy repository.

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If you want to know if RAPL is supported by your CPU, please have a look to the end of the Compatibility section.

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b/book/favicon.svg new file mode 100644 index 00000000..90e0ea58 --- /dev/null +++ b/book/favicon.svg @@ -0,0 +1,22 @@ + + + + + diff --git a/book/fonts/fonts.css b/book/fonts/fonts.css new file mode 100644 index 00000000..38e50911 --- /dev/null +++ b/book/fonts/fonts.css @@ -0,0 +1,8 @@ +/* fonts used by axo themes, not sure if this is the best way to fetch them */ + +@import url("https://fonts.googleapis.com/css2?family=Fira+Sans:wght@400;700&display=swap"); +@import url("https://fonts.googleapis.com/css2?family=Comfortaa:wght@400;700&display=swap"); +@import url("https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;600;700&display=swap"); +@import url("https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600&display=swap"); + +/* note that the standard mdbook themes lose their custom fonts by us overriding this */ diff --git a/book/grafana-dash-scaphandre.cleaned.png b/book/grafana-dash-scaphandre.cleaned.png new file mode 100644 index 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__FLOAT__"},contains:[s.COMMENT(";","$",{relevance:0}),{className:"number",variants:[{begin:"\\b(?:([0-9][0-9_]*)?\\.[0-9_]*(?:[eE][+-]?[0-9_]+)?|(0[Xx])?[0-9][0-9_]*\\.?[0-9_]*(?:[pP](?:[+-]?[0-9_]+)?)?)\\b",relevance:0},{begin:"\\$[0-9][0-9A-Fa-f]*",relevance:0},{begin:"\\b(?:[0-9A-Fa-f][0-9A-Fa-f_]*[Hh]|[0-9][0-9_]*[DdTt]?|[0-7][0-7_]*[QqOo]|[0-1][0-1_]*[BbYy])\\b"},{begin:"\\b(?:0[Xx][0-9A-Fa-f_]+|0[DdTt][0-9_]+|0[QqOo][0-7_]+|0[BbYy][0-1_]+)\\b"}]},s.QUOTE_STRING_MODE,{className:"string",variants:[{begin:"'",end:"[^\\\\]'"},{begin:"`",end:"[^\\\\]`"}],relevance:0},{className:"symbol",variants:[{begin:"^\\s*[A-Za-z._?][A-Za-z0-9_$#@~.?]*(:|\\s+label)"},{begin:"^\\s*%%[A-Za-z0-9_$#@~.?]*:"}],relevance:0},{className:"subst",begin:"%[0-9]+",relevance:0},{className:"subst",begin:"%!S+",relevance:0},{className:"meta",begin:/^\s*\.[\w_-]+/}]}}}()); \ No newline at end of file diff --git a/book/how-to_guides/get-process-level-power-in-grafana.html b/book/how-to_guides/get-process-level-power-in-grafana.html new file mode 100644 index 00000000..963828e2 --- /dev/null +++ b/book/how-to_guides/get-process-level-power-in-grafana.html @@ -0,0 +1,227 @@ + + + + + + Get process-level power consumption in my grafana dashboard - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Get process-level power consumption in my grafana dashboard

    +

    Now we'll see how to get valuable data in a dashboard. Let's say you want to track the power consumption of a given process or application in a dashboard and eventually set thresholds on it. WHat do you need to get that subset of the power consumption of the host visually ?

    +

    You need basically 3 components for that:

    + +

    We'll say that you already have a running prometheus server and an available grafana instance and that you have added prometheus as a datasource in grafana.

    +

    How to get metrics per process as you may see here ?

    +

    The metric that I need from the prometheus exporter to do that is: scaph_process_power_consumption_microwatts. This metric is a wallet for the power consumption of all the running processes on the host at a given time.

    +

    This is a prometheus metrics, so you have labels to filter on the processes you are interested in. Currently the available labels are: instance, exe, job and pid.

    +

    If I want to get power consumption (in Watts) for all processes related to nginx running on a host with ip 10.0.0.9 I may use that query, in grafana, based on the prometheus datasource:

    +
    scaph_process_power_consumption_microwatts{cmdline=~".*nginx.*", instance="10.0.0.9:8080"} / 1000000
+
    +

    Here we assume that scaphandre/the prometheus exporter is running on port number 8080.

    +

    Here is how it looks, creating a panel in grafana:

    +

    +

    Those labels are explained in much more detail here.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/how-to_guides/install-prometheuspush-only-rhel.html b/book/how-to_guides/install-prometheuspush-only-rhel.html new file mode 100644 index 00000000..b0ed8332 --- /dev/null +++ b/book/how-to_guides/install-prometheuspush-only-rhel.html @@ -0,0 +1,252 @@ + + + + + + Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9

    +

    Manual installation

    +

    Scaphandre can be compiled with a limited set of features. You have the choice to only install Scaphandre with prometheus-push exporter (alongside with stdout and json exporters, which might be useful locally).

    +

    RPM packages containing only those features are provided for RHEL 8 and 9 :

    + +

    You can download it and install it just providing the right URL to dnf :

    +
    dnf install -y URL
+
    +

    Then you'll probably need to change its configuration to target the appropriate Push Gateway server. Edit the configuration file :

    +
    vi /etc/scaphandre/prometheuspush
+
    +

    Default options look like :

    +
    SCAPHANDRE_ARGS="prometheus-push -H localhost -S http"
+
    +

    Those are prometheus-push exporter CLI options. Run the executable to get the reference of the options :

    +
    /usr/bin/scaphandre-prometheuspush --help
+
    +

    A simple configuration to target Push Gateway reachable on https://myserver.mydomain:PORT and send data every 30 seconds would look like :

    +
    SCAPHANDRE_ARGS="prometheus-push -H myserver.mydomain -S https -p PORT -s 30"
+
    +

    Once the configuration is changed, you can restart the service and ensure it is enabled as well for next reboot :

    +
    systemctl restart scaphandre-prometheuspush && systemctl enable scaphandre-prometheuspush
+
    +

    Configuration issues or issues to reach the push gateway should be visible in the logs :

    +
    systemctl status scaphandre-prometheuspush
+
    +

    Automatic installation with ansible

    +

    There is a sample Ansible playbook available in the automation/ansible folder of the project.

    +

    This can be used this way :

    +
    ansible-playbook -i inventory -b -u myunprivilegeduser -K install-configure-prometheuspush-rhel.yml
+
    +

    Beware of the playbook parameters :

    +
    rhel_version: 9
+scaphandre_version: "dev0.5.10"
+pushgateway_host: localhost
+pushgateway_scheme: http
+pushgateway_port: 9092
+scaphandre_config_path: /etc/scaphandre/prometheuspush
+service_name: scaphandre-prometheuspush
+
    +

    Ensure to change those to match your context, including changing rhel version if needed (8 and 9 are supported) and parameters to reach the Push Gateway on the network.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/how-to_guides/propagate-metrics-hypervisor-to-vm_qemu-kvm.html b/book/how-to_guides/propagate-metrics-hypervisor-to-vm_qemu-kvm.html new file mode 100644 index 00000000..4415e182 --- /dev/null +++ b/book/how-to_guides/propagate-metrics-hypervisor-to-vm_qemu-kvm.html @@ -0,0 +1,250 @@ + + + + + + Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM)

    +

    Introduction

    +

    A major pain point in measuring power consumption is doing so inside a virtual machine. A virtual machine usually doesn't have access to power metrics.

    +

    Scaphandre aims at solving that by enabling a communication between a scaphandre instance on the hypervisor/bare metal machine and another one running on the virtual machine. +The scaphandre agent on the hypervisor will compute the metrics meaningful for that virtual machine and the one on the VM access those metrics to allow its user/administrator to use the data as if they had access to power metrics in the first place (as if they were on a bare metal machine).

    +

    This allows to break opacity in a virtualization context, if you have access to the hypervisor, or in a public cloud context if the provider uses scaphandre on its hypervisors.

    + +

    How to

    +

    This is working on Qemu/KVM hypervisors only.

    +

    The idea is to run the agent on the hypervisor, with the qemu exporter:

    +
    scaphandre qemu
+
    +

    More examples for a production ready setup will be added soon (systemd service, docker container, ...). If you think the documentation needs a refresh now, please contribute :)

    +

    For each virtual machine you want to give access to its metrics, create a tmpfs mountpoint:

    +
     mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=5m
+
    +

    In the definition of the virtual machine (here we are using libvirt), ensure you have a filesystem configuration to give access to the mountpoint:

    +
    virsh edit DOMAIN_NAME
+
    +

    Then add this filesystem configuration block inside the <devices></devices> block:

    +
    <filesystem type='mount' accessmode='passthrough'>
+    <driver type='virtiofs'/>
+    <source dir='/var/lib/libvirt/scaphandre/DOMAIN_NAME'/>
+    <target dir='scaphandre'/>
+    <readonly />
+</filesystem>
+
    +

    Save and (re)start the virtual machine.

    +

    If you get this error: "error: unsupported configuration: 'virtiofs' requires shared memory", you might add this configuration section to the <domain> section.

    +
    <memoryBacking>
+  <source type='memfd'/>
+  <access mode='shared'/>
+</memoryBacking>
+
    +

    Then connect to the virtual machine and mount the filesystem:

    +
     mount -t 9p -o trans=virtio scaphandre /var/scaphandre
+
    +

    You can now run scaphandre to export the metrics with the exporter of your choice (here prometheus):

    +
     scaphandre --vm prometheus
+
    +

    Please refer to the qemu exporter reference for more details.

    +

    Note: This how to is only suitable for a "manual" use case. For all automated systems like openstack or proxmox, some more work needs to be done to make the integration of those steps easier.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + Introduction - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Introduction

    +

    +

    Welcome on Scaphandre documentation.

    +

    Scaphandre is a monitoring agent, dedicated to energy consumption metrics. Its purpose is to help measuring and thus understanding tech services energy consumption patterns. This is key, in our opinion, to enable the tech industry to shift towards more sustainability. 💚

    +

    If at this point you think "why bother ?", or if you want more details about this project's motivations, please have a look at the why section.

    +

    If not and you want to proceed, just directly jump to the tutorials section.

    +

    If you need more in-depth, use-case oriented instructions, the how-to guides are here for you.

    +

    Explanations is about theoretical concepts behind scaphandre and the reasons for the technical choices that have been made so far.

    +

    If you are already using, hacking or exploring scaphandre and need precise informations about one of its components, go to the references section. (The code documentation itself is here).

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
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Author: Nate Peterson + License: ~ MIT (or more permissive) [via base16-schemes-source] + Maintainer: @highlightjs/core-team + Version: 2021.09.0 +*/ + +/* + WARNING: DO NOT EDIT THIS FILE DIRECTLY. + + This theme file was auto-generated from the Base16 scheme material + by the Highlight.js Base16 template builder. + + - https://github.com/highlightjs/base16-highlightjs +*/ + +/* +base00 #263238 Default Background +base01 #2E3C43 Lighter Background (Used for status bars, line number and folding marks) +base02 #314549 Selection Background +base03 #546E7A Comments, Invisibles, Line Highlighting +base04 #B2CCD6 Dark Foreground (Used for status bars) +base05 #EEFFFF Default Foreground, Caret, Delimiters, Operators +base06 #EEFFFF Light Foreground (Not often used) +base07 #FFFFFF Light Background (Not often used) +base08 #F07178 Variables, XML Tags, Markup Link Text, Markup Lists, Diff Deleted +base09 #F78C6C Integers, Boolean, Constants, XML Attributes, Markup Link Url +base0A #FFCB6B 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.hljs-meta .hljs-string + { + color: #FF5370; + } + + .hljs-meta .hljs-keyword, + /* for v10 compatible themes */ + .hljs-meta-keyword { + font-weight: bold; + } \ No newline at end of file diff --git a/book/print.html b/book/print.html new file mode 100644 index 00000000..d7fa3e5a --- /dev/null +++ b/book/print.html @@ -0,0 +1,1268 @@ + + + + + + Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Introduction

    +

    +

    Welcome on Scaphandre documentation.

    +

    Scaphandre is a monitoring agent, dedicated to energy consumption metrics. Its purpose is to help measuring and thus understanding tech services energy consumption patterns. This is key, in our opinion, to enable the tech industry to shift towards more sustainability. 💚

    +

    If at this point you think "why bother ?", or if you want more details about this project's motivations, please have a look at the why section.

    +

    If not and you want to proceed, just directly jump to the tutorials section.

    +

    If you need more in-depth, use-case oriented instructions, the how-to guides are here for you.

    +

    Explanations is about theoretical concepts behind scaphandre and the reasons for the technical choices that have been made so far.

    +

    If you are already using, hacking or exploring scaphandre and need precise informations about one of its components, go to the references section. (The code documentation itself is here).

    +

    Getting started

    +

    To install Scaphandre, depending on your platform, see:

    + +

    If you want to contribute or just play with the code and need to compile Scaphandre, see :

    + +

    Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common first:

    +
    modprobe intel_rapl_common # or intel_rapl for kernels < 5
+
    +

    To quickly run scaphandre in your terminal you may use docker:

    +
    docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15
+
    +

    Or if you downloaded or built a binary, you'd run:

    +
    scaphandre stdout -t 15
+
    +

    Running scaphandre on Fedora / CentOS Stream / RHEL (or any distribution using SELinux) with podman

    +

    Running scaphandre with podman on a distribution using SELinux may fail because of access denied to /proc files.

    +

    To make it work you should run scaphandre in privileged mode :

    +
    podman run --privileged ...
+
    +

    You'll find explanation of this requirement here : #106.

    +

    Output

    +

    Here we are using the stdout exporter to print current power consumption usage in the terminal during 15 seconds.

    +

    You should get an output like:

    +
    Host:	9.391334 W	Core		Uncore		DRAM
+Socket0	9.392    W	1.497082 W
+Top 5 consumers:
+Power	PID	Exe
+4.808363 W	642	"/usr/sbin/dockerd"
+4.808363 W	703	"/usr/bin/docker-containerd"
+4.808363 W	1028	"/usr/local/bin/redis-server"
+0 W	1	"/usr/lib/systemd/systemd"
+0 W	2	""
+------------------------------------------------------------
+
    +

    Let's briefly describe what you see here. First Line is the power consumption of the machine (between the two last measurements). +Second line is the power consumption of the first CPU socket plus the detail by RAPL Domain. +If you have more than one CPU Socket, you'll have multiple SocketX lines. +Then you have the 5 processes consuming the most power during the last two measurements.

    +

    If you don't get this output and get an error, jump to the Troubleshooting section of the documentation.

    +

    Going further

    +

    At that point, you're ready to use scaphandre. The Stdout exporter is very basic and other exporters should allow you to use and send those metrics the way you like.

    +

    The prometheus exporter, for example, allows you to expose power consumption metrics as an HTTP endpoint that can be scrapped by a prometheus instance:

    +
    docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -p 8080:8080 -ti hubblo/scaphandre prometheus
+
    +

    Here is the same command with a simple binary:

    +
    scaphandre prometheus
+
    +

    To validate that the metrics are available, send an http request from another terminal:

    +
    curl -s http://localhost:8080/metrics
+
    +

    Here you can see examples of graphs you can get thanks to scaphandre, the prometheus exporter, prometheus and grafana.

    +

    Installation (GNU/Linux)

    +

    Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common before running scaphandre:

    +
    modprobe intel_rapl_common # or intel_rapl for kernels < 5
+
    +

    To quickly run scaphandre in your terminal you may use docker:

    +
    docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15
+
    +

    Or if you downloaded or built a binary, you'd run:

    +
    scaphandre stdout -t 15
+
    +

    Here are some other ways to install scaphandre depending on your context:

    + +

    Kudos to contributors who work on system packages, please have a try and/or contribute to:

    + +

    Other tutorials should come, as:

    +
      +
    • install scaphandre as a proper systemd service
      • +
    • scaphandre in your favorite GNU/Linux distribution (need help from packaging gurus !)
      • +
    • scaphandre on MacOSX
      • +
    • and more...
      • +
    +

    Install Scaphandre on Windows

    +

    !! Warning: Windows version of Scaphandre is still in early stage. !!

    +

    Using the installer

    +

    Download the latest exe installer from the release page and install it as an administrator.

    +

    Configuring a Windows service to run Scaphandre in the background

    +

    For example, to run the prometheus-push exporter in the background and target the Prometheus Push Gateway server with ip address 198.51.100.5 using HTTPS on port 443 and a step to send metrics of 45s, without checking the certificate of the push gateway (remove that option if you have a properly signed TLS certificate):

    +
    sc.exe create Scaphandre binPath="C:\Program Files (x86)\scaphandre\scaphandre.exe prometheus-push -H 198.51.100.5 -s 45 -S https -p 443 --no-tls-check" DisplayName=Scaphandre start=auto
+
    +

    Ensure the service is started in Services.msc, start it by right clicking on it, then Start, otherwise.

    +

    To delete the service, you can do it in Services.msc, or:

    +
    sc.exe delete Scaphandre
+
    +

    Using an installer including a development version of the driver

    +

    If you are running a development version of the installer (which probably means a development version of the driver), you'll need to enable Test Mode on Windows prior to proceed to this installation, then reboot.

    +
    bcdedit.exe -set TESTSIGNING ON
+bcdedit.exe -set nointegritychecks on
+
    +

    Beware: in this case, activation of test mode and a reboot is needed before anyway.

    +

    Once installed, you should be able to run scaphandre from Powershell, by running :

    +
    & 'C:\Program Files (x86)\scaphandre\scaphandre.exe' stdout
+
    +

    Troubleshooting

    +

    An error such as

    +
    scaphandre::sensors::msr_rapl: Failed to open device : HANDLE(-1)
+
    +

    means that the driver is not properly setup. Check it's state by running:

    +
    driverquery /v | findstr capha
+
    +

    If there is not item returned, the installation of the driver encountered an issue.

    +

    If the service is STOPPED, there is also something wrong.

    +

    Compilation

    +

    If you look for compiling Scaphandre and its driver yourself, see Compilation for Windows

    +

    Run a complete stack with docker-compose

    +

    If you'd like to try scaphandre and see the data in a decent visualization tool, there is a docker-compose in the repository to install scaphandre along side with prometheus and grafana.

    +

    Once you have cloned the repository, just move to the docker-compose folder and run the stack:

    +
    cd docker-compose
+docker-compose up -d
+
    +

    Be warned: the sample stack runs scaphandre as a privileged container. Otherwise apparmor or equivalents might complain about ptrace calls on the host. See #135.

    +

    Grafana will be available at http://localhost:3000, the default username is admin and the password is secret.

    +

    Refresh the dashboard after 30s or enable auto-refresh and you should see the data filling the graphs.

    +

    The process_filter textbox on the top of the graph allows you to look at the power consumption of a single application or service. Type the name of the program you want to look at and press enter. In the Filtered process (process_filter) power, by exe graph, on the 3rd line, you should now see the power cosumption of the given program.

    +

    To remove the stack just run this command in the same folder:

    +
    docker-compose down
+
    +

    Compile scaphandre from source (GNU/Linux)

    +

    We recommand using this version of the rust toolchain or later:

    +
    cargo --version
+cargo 1.48.0 (65cbdd2dc 2020-10-14)
+rustc --version
+rustc 1.48.0 (7eac88abb 2020-11-16)
+
    +

    To be sure to be up to date, you may install rust from the official website instead of your package manager.

    +

    To hack scaph, or simply be up to date with latest developments, you can download scaphandre from the main branch:

    +
    git clone https://github.com/hubblo-org/scaphandre.git
+cd scaphandre
+cargo build # binary path is target/debug/scaphandre
+
    +

    To use the latest code for a true use case, build for release instead of debug:

    +
    cargo build --release
+
    +

    Binary path is target/release/scaphandre.

    +

    Compilation for Windows (experimental)

    +

    Scaphandre, on Windows, needs a kernel driver to get the same metrics as it does with powercap on GNU/Linux. This driver is available on this repository. Please refer to this project to get either pre-compiled binaries (available soon) or to follow the compilation procedure.

    +

    Scaphandre's dependencies on Windows and GNU/Linux

    +

    Once you have a working driver, you can compile Scaphandre, with the Rust for Windows usual toolkit.

    +

    For now, all Scaphandre features are not supported on windows. Use the following command line to build the binary :

    +
    cargo build --no-default-features --features "prometheus json riemann"
+
    +

    Don't forget to add the --release flag to build a binary suited for more than test and debug usecases.

    +

    Kubernetes

    +

    This tutorial uses Helm to install +Scaphandre, Prometheus and Grafana.

    +

    Install Scaphandre

    +

    First we install Scaphandre which runs as a daemon set which creates a pod on +each node for collecting the metrics. The helm chart is not in a repo, it needs +to be installed from the source code.

    +
    git clone https://github.com/hubblo-org/scaphandre
+cd scaphandre
+helm install scaphandre helm/scaphandre
+
    +

    Parameters

    +

    Service monitor parameters

    +
    + + + +
    NameDescriptionValue
    serviceMonitor.enabledCreate ServiceMonitor Resource for scraping metrics using PrometheusOperatorfalse
    serviceMonitor.namespaceThe namespace in which the ServiceMonitor will be created (if not set, default to namespace on which this chart is installed)""
    serviceMonitor.intervalThe interval at which metrics should be scraped1m
    +
    +

    Security Parameters

    +
    + + + +
    NameDescriptionValue
    securityContext.privilegedGives full host access, bypassing container isolation (can be needed to run on physical server)false
    securityContext.runAsUserRun as root user to get proper permissions0
    securityContext.runAsGroupRun as root group to get proper permissions0
    +
    +

    Install Prometheus

    +

    Next we will install Prometheus which will scrape the metrics generated by Scaphandre.

    +
    helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo add kube-state-metrics https://kubernetes.github.io/kube-state-metrics
+helm repo update
+
+helm install prometheus prometheus-community/prometheus \
+--set alertmanager.persistentVolume.enabled=false \
+--set server.persistentVolume.enabled=false
+
    +

    This setup should only be used for testing as the Prometheus data is not +persisted if the pods are deleted.

    +

    You can access the Prometheus web UI by creating a port forwarding connection.

    +
    kubectl port-forward deploy/prometheus-server 9090:9090
+
    +

    Install Grafana

    +

    Create a configmap to store the Grafana dashboard.

    +
    kubectl create configmap scaphandre-dashboard \
+    --from-file=scaphandre-dashboard.json=docs_src/tutorials/grafana-kubernetes-dashboard.json
+
    +

    Install Grafana.

    +
    helm repo add grafana https://grafana.github.io/helm-charts
+helm repo update
+
+helm install grafana grafana/grafana --values docs_src/tutorials/grafana-helm-values.yaml
+
    +

    Get the Grafana web UI password which is randomly generated.

    +
    kubectl get secret grafana -o jsonpath="{.data.admin-password}" | base64 --decode
+
    +

    Create a port forwarding connection to the Grafana pod.

    +
    kubectl port-forward deploy/grafana 3000:3000
+
    +

    Open Grafana in your browser at http://localhost:3000 the username is admin.

    +

    Cleaning up

    +

    Deleting the Helm releases will remove all the resources we created.

    +
    helm delete grafana prometheus scaphandre
+
    +

    Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM)

    +

    Introduction

    +

    A major pain point in measuring power consumption is doing so inside a virtual machine. A virtual machine usually doesn't have access to power metrics.

    +

    Scaphandre aims at solving that by enabling a communication between a scaphandre instance on the hypervisor/bare metal machine and another one running on the virtual machine. +The scaphandre agent on the hypervisor will compute the metrics meaningful for that virtual machine and the one on the VM access those metrics to allow its user/administrator to use the data as if they had access to power metrics in the first place (as if they were on a bare metal machine).

    +

    This allows to break opacity in a virtualization context, if you have access to the hypervisor, or in a public cloud context if the provider uses scaphandre on its hypervisors.

    + +

    How to

    +

    This is working on Qemu/KVM hypervisors only.

    +

    The idea is to run the agent on the hypervisor, with the qemu exporter:

    +
    scaphandre qemu
+
    +

    More examples for a production ready setup will be added soon (systemd service, docker container, ...). If you think the documentation needs a refresh now, please contribute :)

    +

    For each virtual machine you want to give access to its metrics, create a tmpfs mountpoint:

    +
     mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=5m
+
    +

    In the definition of the virtual machine (here we are using libvirt), ensure you have a filesystem configuration to give access to the mountpoint:

    +
    virsh edit DOMAIN_NAME
+
    +

    Then add this filesystem configuration block inside the <devices></devices> block:

    +
    <filesystem type='mount' accessmode='passthrough'>
+    <driver type='virtiofs'/>
+    <source dir='/var/lib/libvirt/scaphandre/DOMAIN_NAME'/>
+    <target dir='scaphandre'/>
+    <readonly />
+</filesystem>
+
    +

    Save and (re)start the virtual machine.

    +

    If you get this error: "error: unsupported configuration: 'virtiofs' requires shared memory", you might add this configuration section to the <domain> section.

    +
    <memoryBacking>
+  <source type='memfd'/>
+  <access mode='shared'/>
+</memoryBacking>
+
    +

    Then connect to the virtual machine and mount the filesystem:

    +
     mount -t 9p -o trans=virtio scaphandre /var/scaphandre
+
    +

    You can now run scaphandre to export the metrics with the exporter of your choice (here prometheus):

    +
     scaphandre --vm prometheus
+
    +

    Please refer to the qemu exporter reference for more details.

    +

    Note: This how to is only suitable for a "manual" use case. For all automated systems like openstack or proxmox, some more work needs to be done to make the integration of those steps easier.

    +

    Get process-level power consumption in my grafana dashboard

    +

    Now we'll see how to get valuable data in a dashboard. Let's say you want to track the power consumption of a given process or application in a dashboard and eventually set thresholds on it. WHat do you need to get that subset of the power consumption of the host visually ?

    +

    You need basically 3 components for that:

    + +

    We'll say that you already have a running prometheus server and an available grafana instance and that you have added prometheus as a datasource in grafana.

    +

    How to get metrics per process as you may see here ?

    +

    The metric that I need from the prometheus exporter to do that is: scaph_process_power_consumption_microwatts. This metric is a wallet for the power consumption of all the running processes on the host at a given time.

    +

    This is a prometheus metrics, so you have labels to filter on the processes you are interested in. Currently the available labels are: instance, exe, job and pid.

    +

    If I want to get power consumption (in Watts) for all processes related to nginx running on a host with ip 10.0.0.9 I may use that query, in grafana, based on the prometheus datasource:

    +
    scaph_process_power_consumption_microwatts{cmdline=~".*nginx.*", instance="10.0.0.9:8080"} / 1000000
+
    +

    Here we assume that scaphandre/the prometheus exporter is running on port number 8080.

    +

    Here is how it looks, creating a panel in grafana:

    +

    +

    Those labels are explained in much more detail here.

    +

    Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9

    +

    Manual installation

    +

    Scaphandre can be compiled with a limited set of features. You have the choice to only install Scaphandre with prometheus-push exporter (alongside with stdout and json exporters, which might be useful locally).

    +

    RPM packages containing only those features are provided for RHEL 8 and 9 :

    + +

    You can download it and install it just providing the right URL to dnf :

    +
    dnf install -y URL
+
    +

    Then you'll probably need to change its configuration to target the appropriate Push Gateway server. Edit the configuration file :

    +
    vi /etc/scaphandre/prometheuspush
+
    +

    Default options look like :

    +
    SCAPHANDRE_ARGS="prometheus-push -H localhost -S http"
+
    +

    Those are prometheus-push exporter CLI options. Run the executable to get the reference of the options :

    +
    /usr/bin/scaphandre-prometheuspush --help
+
    +

    A simple configuration to target Push Gateway reachable on https://myserver.mydomain:PORT and send data every 30 seconds would look like :

    +
    SCAPHANDRE_ARGS="prometheus-push -H myserver.mydomain -S https -p PORT -s 30"
+
    +

    Once the configuration is changed, you can restart the service and ensure it is enabled as well for next reboot :

    +
    systemctl restart scaphandre-prometheuspush && systemctl enable scaphandre-prometheuspush
+
    +

    Configuration issues or issues to reach the push gateway should be visible in the logs :

    +
    systemctl status scaphandre-prometheuspush
+
    +

    Automatic installation with ansible

    +

    There is a sample Ansible playbook available in the automation/ansible folder of the project.

    +

    This can be used this way :

    +
    ansible-playbook -i inventory -b -u myunprivilegeduser -K install-configure-prometheuspush-rhel.yml
+
    +

    Beware of the playbook parameters :

    +
    rhel_version: 9
+scaphandre_version: "dev0.5.10"
+pushgateway_host: localhost
+pushgateway_scheme: http
+pushgateway_port: 9092
+scaphandre_config_path: /etc/scaphandre/prometheuspush
+service_name: scaphandre-prometheuspush
+
    +

    Ensure to change those to match your context, including changing rhel version if needed (8 and 9 are supported) and parameters to reach the Push Gateway on the network.

    +

    Explanations about host level power and energy metrics.

    +

    This is true starting from Scaphandre >= 1.0.

    +

    There are several metrics available at the host level in Scaphandre:

    +
      +
    • scaph_host_power_microwatts : always returned, computed from Record structs made from scaph_host_energy_microjoules metric
      • +
    • scaph_host_energy_microjoules : always returned, either one value or a sum of values coming directly from RAPL counters (energy_uj files or direct read from an MSR)
      • +
    • scaph_host_rapl_psys_microjoules : is available only when the PSYS RAPL domain is available on the machine.
      • +
    +

    In addition to those metrics, you might want to build, on your time series database, the sum of process_ metrics to have a view of the weight of all processes on the host power. Using Prometheus, it would look like: sum(scaph_process_power_consumption_microwatts{hostname="$hostname"}) / 1000000, to get it in Watts.

    +

    Let's explain the relationship between those metrics, and what you could expect.

    +

    host_power metric will return :

    +
      +
    1. If PSYS domain is available, a computed power coming from PSYS energy records
      2. +
    2. If not, a computed power which is the sum of per-socket power (PKG RAPL domain) + DRAM RAPL domain power
      3. +
    +

    Briefly explained (see RAPL domains for detailled explanations), PSYS covers most components on the machine ("all components connected to the SoC / motherboard" according to most documentations), so we return this wider ranged metric when available. If not we use a combination of PKG domain, that includes CPU and integrated GPU power, and DRAM domain, that includes memory power. The first options gives higher figures than the second, for now.

    +

    Suming the power of all processes, if the machine is mostly IDLE, you'll get a tiny percentage of the host machine, most likely. The difference between host power and the sum of processes power can be accounted as "power due to IDLE activity", in other words the power your machine demands for "doing nothing". The higher this difference on a long period of time (better seen as a graph), the higher chance that there is room for improvement in moving the workloads to another machine and shut the current machine down (and make it available for another project or to another organization to prevent from buying a new machine).

    +

    Warning: that being said, the way per-process power is computed is still biased and shall be improved in the following versions of Scaphandre. For now, the main key for allocation is CPU time. As host level power metrics include power usage of more and more components on the machine (work in progress) this allocation key will be more and more inaccurate. Future versions of this allocation model should include keys regarding the activity of other components than CPU. Enabling a better set of allocation keys for per-process power is part of the roadmap.

    +

    How scaphandre computes per process power consumption

    +

    Scaphandre is a tool that makes it possible to see the power being used by a single process on a computer.

    +

    This sounds like a simple thing thing to be able to do, but in practice a number of details can make this more complex.

    +

    So having a good mental model of how it works will make it easier to understand when and how to use Scaphandre. Let's start with a simplified mental model below, before moving on to multiple processors or virtual machines - but once you understand the key ideas outlined below, it's easier to see how they can be applied to thinking about tracking power on virtual machines, or when multiple processors are available.

    +

    How a computer works on multiple jobs at the same time

    +

    When we first think about how much energy a single process running in a computer might use, we might start with a mental model that looks like the figure below, with large, uninterrupted chunks of compute time allocated to each process.

    +

    This is easy to understand, and it matches how we might be billed for a share of a larger machine when paying for cloud services.

    +

    what scaphandre does - per process power usage

    +

    Timesharing of work

    +

    However, if the reality was exactly like this diagram, our computers would only ever be able to do one thing at a time. It's more accurate and helpful to think of computers working on lots of different jobs at the same time - they work on one job for short interval of time, then another, and another and so one. You'll often see these small intervals of time referred to as jiffies.

    +

    work on jobs is split into jiffies

    +

    In a given amount of time, some jobs that are prioritized or more resource intensive will use more jiffies than others. Fortunately, each job keeps a running total of the total jiffies allocated to it, so if we know how many jiffies have been used in total, it can give us an idea how much of a machine's resources are being used by a given process.

    +

    work on jobs is split into jiffies

    +

    Going from share of resources to actual power figures

    +

    It's possible without Scaphandre to understand how large a share of a machines' resources are being used by a given process.

    +

    This is useful, by itself, but if we want to understand how much power is used per process, not just the share of the machine's resources, we need to know how much power is being used by the machine in absolute terms.

    +

    To do this, we need a sensor of some kind to track power usage by the machine itself. Some servers have these, like with Intel's RAPL sensors, which we cover this in more detail later on. This makes it possible to understand how much power is being used by CPUs, GPUs and so on, in terms of watts, or, if we are looking at just a single process, various fractions of a watt.

    +

    Sensors provide power over time

    +

    To understand the power used by a single process we combine both of these ideas. We count the jiffies used by our job when it's being worked on, and for each jiffy, we check how much power is being drawn at those moments in time.

    +

    Combined we can see how much the power during 'our' jiffies

    +

    Finally, when we group together all the power readings for all our jiffies over a given time period, we can arrive at a usable figure for how much power has been used, in terms of watt hours.

    +

    Once we have a figure in terms of watt hours, there are various ways we can convert this to environmental impact. A common way is to use an emission factor for the electricity used, to turn the power consumption data into an estimate of associated carbon emissions.

    +

    Combined we can see how much the power during 'our' jiffies

    +

    Working with virtualisation and multiple processors

    +

    While the reality is again more complicated than the diagram below, the same ideas broadly apply when you introduce multiple processors too.

    +

    If you are able to read from sensors that can share how much power is being used by the various processors at work, and know how much of the time is being allocated to our processes during those moments, you can get a good idea of what these figures are, at a per-process level.

    +

    Seeing this with multiple processors

    +

    Things get a bit more complicated with virtualised environments, because in many cases, virtual machines only have a partial view of the system they are part of, and frequently do not have access to any power usage figures from the host physical machine.

    +

    However, if a guest virtual machine or guest container does have access to readings provided by the host physical machine, it is possible to work out the same kinds of per-process power figures. Scaphandre supports exposing these kinds of power readings to virtual machines and containers, which means, if you are running on infrastructure that is running scaphandre and exposing these readings, you can see these figures for the energy used by your own processes.

    +
    +

    More details about how Scaphandre works

    +

    As you can see with the prometheus exporter reference, scaphandre exporters can provide process level power consumption metrics. This section will explain how it is done and how it may be improved in the future.

    +

    Some details about RAPL

    +

    We'll talk here about the case where scaphandre is able to effectively measure the power consumption of the host (see compatibility section for more on sensors and their prerequisites) and specifically about the PowercapRAPL sensor.

    +

    Let's clarify what's happening when you collect metrics with scaphandre and the RAPL sensor. +RAPL stands for Running Average Power Limit. It's a technology embedded in most Intel and AMD x86 CPUs produced after 2012.

    +

    Thanks to this technology it is possible to get the total energy consumption of the CPU, of the consumption per CPU socket, plus in some cases, the consumption of the DRAM controller. In most cases it represents the vast majority of the energy consumption of the machine (except when running GPU intensive workloads, for example).

    +

    Further improvements shall be made in scaphandre to fully measure the consumption when GPU are involved (or a lot of hard drives on the same host...).

    +

    Between scaphandre and this data is the powercap kernel module that writes the energy consumption to files. Scaphandre reads those files, stores the data in buffers and then allows for more processing through the exporters.

    +

    How to get the consumption of one process ?

    +

    The PowercapRAPL sensor does actually more than just collecting those energy consumption metrics (and converting them to power consumption metrics).

    +

    Every time the exporter asks for a measurement (either periodically like in the Stdout exporter, or every time a request comes as would be the case for the Prometheus exporter) the sensor reads the values of the energy counters from powercap. It then stores those values, and does the same for the CPU usage statistics of the CPU (the one you can see in /proc/stats) and for each running process on the machine at that time (see /proc/PID/stats).

    +

    With this data it is possible to compute the ratio of CPU time actively spent for a given PID on the CPU time actively spent doing something. With this ratio we can then get the subset of power consumption that is related to that PID on a given timeframe (between two measurement requests).

    +

    How to get the consumption of an application/a service ?

    +

    Services and programs are often not running on only one PID. It's needed to aggregate the consumption of all related PIDs to know what this service is actually consuming.

    +

    To do that, in the current state of scaphandre development, you can use the Prometheus exporter, and then use Prometheus and its query language capabilities. You'll find examples looking at the graphs and queries here. In a near future, more advanced features may be implemented in scaphandre to allow such classification even if you don't have access to a proper Time Series database (TSDB).

    +

    Internal structure

    +

    Scaphandre is designed to be extensible. As it performs basically two tasks: collecting/pre-computing the power consumption metrics and publishing it, it is composed of two main components: a sensor and an exporter. Each can be implemented in different ways to match a certain use case. When you run scaphandre from the command line, -s allows you to choose the sensor you want to use, and the next subcommand is the name of the exporter.

    +

    Sensors

    +

    Sensors are meant to:

    +
      +
    1. get the power consumptions metrics of the host
      2. +
    2. make it available for the exporter
      3. +
    +

    The PowercapRAPL for instance, gets and transforms metrics coming from the powercap Linux kernel module, that serves as an interface to get the data from the RAPL feature of x86 CPUs. Because this feature is only accessible when you are running on a bare metal machine, this sensor will not work in a virtual machine, except if you first run scaphandre on the hypervisor and make the VM metrics available, with the qemu exporter, to scaphandre running inside the virtual machine.

    +

    When you don't have access to the hypervisor/bare-metal machine (ie. when you run on public cloud instances and your provider doesn't run scaphandre) you still have the option to estimate the power consumption, based on both the ressources (cpu/gpu/ram/io...) consumed by the virtual machine at a given time, and the characteristics of the underlying hardware. This is the way we are designing the future estimation-based sensor, to match that use case.

    +

    Looking at the code, you'll find that the interface between metrics and the exporters is in fact the Topology object. This is intended to be asked by the exporter through the get_topology method of the sensor.

    +

    Exporters

    +

    An exporter is expected to:

    +
      +
    1. ask the sensors to get new metrics and store them for later, potential usage
      2. +
    2. export the current metrics
      3. +
    +

    The Stdout exporter exposes the metrics on the standard output (in your terminal). The prometheus exporter exposes the metrics on an HTTP endpoint, to be scraped by a prometheus instance. An exporter should be created for each monitoring scenario (do you want to feed your favorite monitoring/data analysis tool with scaphandre metrics ? feel free to open a PR to create a new exporter !).

    +

    As introduced in the sensors section, the Qemu exporter, is very specific. It is only intended to collect metrics related to running virtual machines on a Qemu/KVM hypervisor. Those metrics can then be made available to each virtual machine and their own scaphandre instance, running the PowercapRAPL sensor (with the --vm flag on). The qemu exporter puts VM's metrics in files the same way the powercap kernel module does it. It mimics this behavior, so the sensor can act the same way it would on a bare metal machine.

    +

    About containers

    +

    There are several ways scaphandre can interact with containers.

    +

    You may run scaphandre in a container, to not have to manage the dependencies, then measure the power consumption of the bare metal host. This is described in the quickstart tutorial. Note that you need to expose /sys/class/powercap and /proc as volumes in the container to allow scaphandre to get the relevant metrics from the bare metal host.

    +

    Scaphandre may help you measure the power consumption of containers running on a given host. You can already get to that goal using the tips provided in the howto section called "Get process level power consumption". It may still require some tweaking and inventiveness from you in making the approriate queries to your favorite TSDB. This should be made easier by the upcoming scaphandre features.

    +

    Another use case scenario is measuring the power consumption of a container orchestrator (like kubernetes), its nodes and the containers and applications running on it. Scaphandre can be installed on Kubernetes via the Helm chart and there is a tutorial for installing it along with Prometheus and Grafana to view the metrics.

    +

    As described here, scaphandre provides several ways (sensors) to collect the power consumption metrics. Depending on your use case a sensor should be more suitable than the other. Each of them comes with strengths and weaknesses. This is basically always a tradeoff between precision and simplicity. This is especially true if you run a container-based workloads on public cloud instances. We are working to provide a solution for that as well.

    +

    Explanation on RAPL / Running Average Power Limit domains: what we (think we) know so far

    +

    RAPL stands for "Running Average Power Limit", it is a feature on Intel/AMD x86 CPU's (manufactured after 2012) that allows to set limits on power used by the CPU and other components. This feature also allows to just get "measurements" (mind the double quotes, as at least part of the numbers RAPL gives are coming from estimations/modeling) of components power usage.

    +

    RAPL domains

    +

    It is composed of "domains", that, in 2023, may include:

    +
      +
    • Core/PP0: Energy consumed by the CPU Cores themselves.
      • +
    • Uncore/PP1: Energy consumed by components close to the CPU : most of the time it means the embedded GPU chipset.
      • +
    • Dram: Energy consumed by the memory/RAM sticks
      • +
    • Package/PKG: Includes "Core" and "Uncore". In some documentations and in some of our experiments it seem to include "Dram", but this doesn't seem true in every cases.
      • +
    • PSys: We don't have a clear understanding on this one (yet). But most documentations refer to it with words similar to "PSys: (introduced with Intel Skylake) monitors and controls the thermal and power specifications of the entire SoC and it is useful especially when the source of the power consumption is neither the CPU nor the GPU. For multi-socket server systems, each socket reports its own RAPL values.". To summarize, Psys seems like an interesting metric to get energy consumed by a motherboard and connected components (which includes RAPL usual suspects but also WiFi/Bluetooth cards and probably more). If you want to know more about this metric, we gathered references/sources here. If you want to help us understanding and documenting better this metric, please consider constributing to the Energizta project.
      • +
    +

    RAPL documentation from Intel doesn't necessarily give very precise informations about how RAPL behaves depending on the platform, or about what is included in the calculation. Actively looking for other experimentations/feedbacks/documentations is needed. You might find some informations gathered here: awesome-energy. If you have more or more precise informations and are willing to contribute, don't hesitate to open a PR to dev branch on scaphandre's repository (targeting docs_src folder) and/or the awesome-energy repository.

    +

    If you want to know if RAPL is supported by your CPU, please have a look to the end of the Compatibility section.

    +

    Metrics exposed by Scaphandre

    +

    With Stdout exporter, you can see all metrics available on your machine with flag --raw-metrics. +With prometheus exporter, all metrics have a HELP section provided on /metrics (or whatever suffix you choosed to expose them).

    +

    Here are some key metrics that you will most probably be interested in:

    +
      +
    • scaph_host_power_microwatts: Aggregation of several measurements to give a try on the power usage of the the whole host, in microwatts (GAUGE). It might be the same as RAPL PSYS (see RAPL domains) measurement if available, or a combination of RAPL PKG and DRAM domains + an estimation of other hardware componentes power usage.
      • +
    • scaph_process_power_consumption_microwatts{exe="$PROCESS_EXE",pid="$PROCESS_PID",cmdline="path/to/exe --and-maybe-options"}: Power consumption due to the process, measured on at the topology level, in microwatts. PROCESS_EXE being the name of the executable and PROCESS_PID being the pid of the process. (GAUGE)
      • +
    +

    For more details on that metric labels, see this section.

    +

    And some more deep metrics that you may want if you need to make more complex calculations and data processing:

    +
      +
    • scaph_host_energy_microjoules : Energy measurement for the whole host, as extracted from the sensor, in microjoules. (COUNTER)
      • +
    • scaph_socket_power_microwatts{socket_id="$SOCKET_ID"}: Power measurement relative to a CPU socket, in microwatts. SOCKET_ID being the socket numerical id (GAUGE)
      • +
    +

    If your machine provides RAPL PSYS domain (see RAPL domains), you can get the raw energy counter for PSYS/platform with scaph_host_rapl_psys_microjoules. Note that scaph_host_power_microwatts is based on this PSYS counter if it is available.

    +

    Since 1.0.0 the following host metrics are availalable as well ;

    +
      +
    • scaph_host_swap_total_bytes: Total swap space on the host, in bytes.
      • +
    • scaph_host_swap_free_bytes: Swap space free to be used on the host, in bytes.
      • +
    • scaph_host_memory_free_bytes: Random Access Memory free to be used (not reused) on the host, in bytes.
      • +
    • scaph_host_memory_available_bytes: Random Access Memory available to be re-used on the host, in bytes.
      • +
    • scaph_host_memory_total_bytes: Random Access Memory installed on the host, in bytes.
      • +
    • scaph_host_disk_total_bytes: Total disk size, in bytes.
      • +
    • scaph_host_disk_available_bytes: Available disk space, in bytes.
      • +
    +

    Disk metrics have the following labels : disk_file_system, disk_is_removable, disk_type, disk_mount_point, disk_name

    +
      +
    • scaph_host_cpu_frequency: Global frequency of all the cpus. In MegaHertz
      • +
    • scaph_host_load_avg_fifteen: Load average on 15 minutes.
      • +
    • scaph_host_load_avg_five: Load average on 5 minutes.
      • +
    • scaph_host_load_avg_one: Load average on 1 minute.
      • +
    +

    If you hack scaph or just want to investigate its behavior, you may be interested in some internal metrics:

    +
      +
    • +

      scaph_self_memory_bytes: Scaphandre memory usage, in bytes

      +
      • +
    • +

      scaph_self_memory_virtual_bytes: Scaphandre virtual memory usage, in bytes

      +
      • +
    • +

      scaph_self_topo_stats_nb: Number of CPUStat traces stored for the host

      +
      • +
    • +

      scaph_self_topo_records_nb: Number of energy consumption Records stored for the host

      +
      • +
    • +

      scaph_self_topo_procs_nb: Number of processes monitored by scaph

      +
      • +
    • +

      scaph_self_socket_stats_nb{socket_id="SOCKET_ID"}: Number of CPUStat traces stored for each socket

      +
      • +
    • +

      scaph_self_socket_records_nb{socket_id="SOCKET_ID"}: Number of energy consumption Records stored for each socket, with SOCKET_ID being the id of the socket measured

      +
      • +
    • +

      scaph_self_domain_records_nb{socket_id="SOCKET_ID",rapl_domain_name="RAPL_DOMAIN_NAME "}: Number of energy consumption Records stored for a Domain, where SOCKET_ID identifies the socket and RAPL_DOMAIN_NAME identifies the rapl domain measured on that socket

      +
      • +
    +

    Getting per process data with scaph_process_* metrics

    +

    Here are available labels for the scaph_process_power_consumption_microwatts metric that you may need to extract the data you need:

    +
      +
    • exe: is the name of the executable that is the origin of that process. This is good to be used when your application is running one or only a few processes.
      • +
    • cmdline: this contains the whole command line with the executable path and its parameters (concatenated). You can filter on this label by using prometheus =~ operator to match a regular expression pattern. This is very practical in many situations.
      • +
    • instance: this is a prometheus generated label to enable you to filter the metrics by the originating host. This is very useful when you monitor distributed services, so that you can not only sum the metrics for the same service on the different hosts but also see what instance of that service is consuming the most, or notice differences beteween hosts that may not have the same hardware, and so on...
      • +
    • pid: is the process id, which is useful if you want to track a specific process and have your eyes on what's happening on the host, but not so practical to use in a more general use case
      • +
    +

    Since 1.0.0 the following per-process metrics are available as well :

    +
      +
    • scaph_process_cpu_usage_percentage: CPU time consumed by the process, as a percentage of the capacity of all the CPU Cores
      • +
    • scaph_process_memory_bytes: Physical RAM usage by the process, in bytes
      • +
    • scaph_process_memory_virtual_bytes: Virtual RAM usage by the process, in bytes
      • +
    • scaph_process_disk_total_write_bytes: Total data written on disk by the process, in bytes
      • +
    • scaph_process_disk_write_bytes: Data written on disk by the process, in bytes
      • +
    • scaph_process_disk_read_bytes: Data read on disk by the process, in bytes
      • +
    • scaph_process_disk_total_read_bytes: Total data read on disk by the process, in bytes
      • +
    +

    Get container-specific labels on scaph_process_* metrics

    +

    The flag --containers enables Scaphandre to collect data about the running Docker containers or Kubernetes pods on the local machine. This way, it adds specific labels to make filtering processes power consumption metrics by their encapsulation in containers easier.

    +

    Generic labels help to identify the container runtime and scheduler used (based on the content of /proc/PID/cgroup):

    +

    container_scheduler: possible values are docker or kubernetes. If this label is not attached to the metric, it means that scaphandre didn't manage to identify the container scheduler based on cgroups data.

    +

    Then the label container_runtime could be attached. The only possible value for now is containerd.

    +

    container_id is the ID scaphandre got from /proc/PID/cgroup for that container.

    +

    For Docker containers (if container_scheduler is set), available labels are :

    +
      +
    • container_names: is a string containing names attached to that container, according to the docker daemon
      • +
    • container_docker_version: version of the docker daemon
      • +
    • container_label_maintainer: content of the maintainer field for this container
      • +
    +

    For containers coming from a docker-compose file, there are a bunch of labels related to data coming from the docker daemon:

    +
      +
    • container_label_com_docker_compose_project_working_dir
      • +
    • container_label_com_docker_compose_container_number
      • +
    • container_label_com_docker_compose_project_config_files
      • +
    • container_label_com_docker_compose_version
      • +
    • container_label_com_docker_compose_service
      • +
    • container_label_com_docker_compose_oneoff
      • +
    +

    For Kubernetes pods (if container_scheduler is set), available labels are :

    +
      +
    • kubernetes_node_name: identifies the name of the kubernetes node scaphandre is running on
      • +
    • kubernetes_pod_name: the name of the pod the container belongs to
      • +
    • kubernetes_pod_namespace: the namespace of the pod the container belongs to
      • +
    +

    JSON exporter

    +

    Usage

    +

    You can launch the JSON exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre json
+
    +

    Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. Here is how to display metrics during one minute:

    +
    scaphandre json -t 60
+
    +

    You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step:

    +
    scaphandre json -t 60 -s 5
+
    +

    If you want a faster interval you can use option -n (for nano seconds). Here is how to display metrics during 10s with a 100ms step:

    +
    scaphandre json -t 10 -s 0 -n 100000000
+
    +

    By default, JSON is printed in the terminal, to write result in a file you can provide a path with option -f:

    +
    scaphandre json -t 10 -s 0 -n 100000000 -f report.json
+
    +

    To get informations about processes that are running in containers, add --containers:

    +
    scaphandre --no-header json --containers --max-top-consumers=15 | jq
+
    +

    Since 1.0.0 you can filter the processes, either by their process name with --process-regex, or by the name of the container they run in with --container-regex (needs the flag --containers to be active as well).

    +

    As always exporter's options can be displayed with -h:

    +
    Write the metrics in the JSON format to a file or to stdout
+
+Usage: scaphandre json [OPTIONS]
+
+Options:
+  -t, --timeout <TIMEOUT>
+          Maximum time spent measuring, in seconds. If unspecified, runs forever
+  -s, --step <SECONDS>
+          Interval between two measurements, in seconds [default: 2]
+      --step-nano <NANOSECS>
+          Additional step duration in _nano_ seconds. This is added to `step` to get the final duration [default: 0]
+      --max-top-consumers <MAX_TOP_CONSUMERS>
+          Maximum number of processes to watch [default: 10]
+  -f, --file <FILE>
+          Destination file for the report (if absent, print the report to stdout)
+      --containers
+          Monitor and apply labels for processes running as containers
+      --process-regex <PROCESS_REGEX>
+          Filter processes based on regular expressions (example: 'scaph\\w\\w.e')
+      --container-regex <CONTAINER_REGEX>
+          Filter containers based on regular expressions
+      --resources
+          Monitor and incude CPU, RAM and Disk usage per process
+  -h, --help
+          Print help
+
    +

    Metrics provided Scaphandre are documented here.

    +

    Prometheus exporter

    + +

    Usage

    +

    You can launch the prometheus exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre prometheus
+
    +

    As always exporter's options can be displayed with -h:

    +
    	scaphandre prometheus -h
+	scaphandre-prometheus
+	Prometheus exporter exposes power consumption metrics on an http endpoint (/metrics is default) in prometheus accepted
+	format
+
+	USAGE:
+		scaphandre prometheus [FLAGS] [OPTIONS]
+
+	FLAGS:
+        --containers    Monitor and apply labels for processes running as containers
+		-h, --help       Prints help information
+		-q, --qemu       Instruct that scaphandre is running on an hypervisor
+		-V, --version    Prints version information
+
+	OPTIONS:
+		-a, --address <address>    ipv6 or ipv4 address to expose the service to [default: ::]
+		-p, --port <port>          TCP port number to expose the service [default: 8080]
+		-s, --suffix <suffix>      url suffix to access metrics [default: metrics]
+
    +

    With default options values, the metrics are exposed on http://localhost:8080/metrics.

    +

    Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. +This will allow to easily create charts consumption for each vm and defined which one is the top contributor.

    +

    Metrics provided Scaphandre are documented here.

    +

    PrometheusPush Exporter for Prometheus Push Gateway

    +

    Usage

    +

    You can launch the prometheus exporter this way:

    +
    scaphandre prometheus-push
+
    +

    As always exporter's options can be displayed with -h:

    +
    	scaphandre prometheus-push -h
+	Push metrics to Prometheus Push Gateway
+
+	Usage: scaphandre prometheus-push [OPTIONS]
+
+	Options:
+	  -H, --host <HOST>      IP address (v4 or v6) of the metrics endpoint for Prometheus [default: localhost]
+	  -p, --port <PORT>      TCP port of the metrics endpoint for Prometheus [default: 9091]
+	      --suffix <SUFFIX>  [default: metrics]
+	  -S, --scheme <SCHEME>  [default: http]
+	  -s, --step <STEP>      [default: 5]
+	      --qemu             Apply labels to metrics of processes that look like a Qemu/KVM virtual machine
+	      --containers       Apply labels to metrics of processes running as containers
+	  -j, --job <JOB>        Job name to apply as a label for pushed metrics [default: scaphandre]
+	      --no-tls-check     Don't verify remote TLS certificate (works with --scheme="https")
+	  -h, --help             Print help
+
    +

    With default options values, the metrics are sent to http://localhost:9091/metrics

    +

    Metrics exposed

    +

    Metrics exposed are the same as the Prometheus (pull mode) exporter.

    +

    Push gateway's grouping key for each host is in the form job/scaphandre/instance/${HOSTNAME} with HOSTNAME being the hostname of the host sending metrics.

    +

    Qemu exporter

    +

    Computes energy consumption metrics for each Qemu/KVM virtual machine found on the host. +Exposes those metrics as filetrees compatible with the powercap_rapl sensor.

    +

    Note that this is still experimental. Metrics are already considered trustworthy, but there are discussions and tests to be performed about the acceptable ways to share the data with the guests/vms. Any feedback or thoughts about this are welcome. Please refer to the contributing section.

    +

    Usage

    +
      +
    1. +

      Run the scaphandre with the qemu exporter on your bare metal hypervisor machine:

      +
       scaphandre qemu # this is suitable for a test, please run it as a systemd service for a production setup
+
      +
      2. +
    2. +

      Default is to expose virtual machines metrics in /var/lib/libvirt/scaphandre/${DOMAIN_NAME} with DOMAIN_NAME being the libvirt domain name of the virtual machine. +First create a tmpfs mount point to isolate metrics for that virtual machine:

      +
       mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=10m
+
      +
      3. +
    3. +

      Ensure you expose the content of this folder to the virtual machine by having this configuration in the xml configuration of the domain:

      +
      		<filesystem type='mount' accessmode='passthrough'>
+	      <driver type='virtiofs'/>
+	      <source dir='/var/lib/libvirt/scaphandre/DOMAIN_NAME'/>
+	      <target dir='scaphandre'/>
+		  <readonly />
+	    </filesystem>
+
      +

      You can edit the vm properties using sudo virsh edit <DOMAIN_NAME> using your usual editor. But it is more convenient to use virtual-manager, as explained in the following screenshots.

      +

      It also helps to define the correct syntax which probably depends from the qemu version. You can check that the above configuration is slightly different form the one below.

      +

      a. Right click in the hardware menu: +virtualmgr00

      +

      b. Enter the following parameters: +virtualmgr01

      +

      c. XML generated as a result: +virtualmgr02

      +
        +
      1. +

        Ensure the VM has been started once the configuration is applied, then mount the filesystem on the VM/guest:

        +
         mount -t 9p -o trans=virtio scaphandre /var/scaphandre
+
        +
        2. +
      2. +

        Still in the guest, run scaphandre in VM mode with the default sensor:

        +
         scaphandre --vm prometheus
+
        +
        3. +
      3. +

        Collect your virtual machine specific power usage metrics. (requesting http://VM_IP:8080/metrics in this example, using the prometheus exporter)

        +
        4. +
      +
      4. +
    +

    Riemann exporter

    +

    riemann exporter

    +

    Usage

    +

    You can launch the Riemann exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre riemann
+
    +

    As always exporter's options can be displayed with -h:

    +
    Expose the metrics to a Riemann server
+
+Usage: scaphandre riemann [OPTIONS]
+
+Options:
+  -a, --address <ADDRESS>
+          Address of the Riemann server. If mTLS is used this must be the server's FQDN [default: localhost]
+  -p, --port <PORT>
+          TCP port number of the Riemann server [default: 5555]
+  -d, --dispatch-interval <DISPATCH_INTERVAL>
+          Duration between each metric dispatch, in seconds [default: 5]
+  -q, --qemu
+          Apply labels to metrics of processes looking like a Qemu/KVM virtual machine
+      --containers
+          Monitor and apply labels for processes running as containers
+      --mtls
+          Connect to Riemann using mTLS instead of plain TCP
+      --ca <CA_FILE>
+          CA certificate file (.pem format)
+      --cert <CERT_FILE>
+          Client certificate file (.pem format)
+      --key <KEY_FILE>
+          Client RSA key file
+  -h, --help
+          Print help
+
    +

    With default options values, the metrics are sent to http://localhost:5555 every 5 seconds

    +

    Use --mtls option to connect to a Riemann server using mTLS. In such case, you must provide the following parameters:

    +
      +
    • --address to specify the fqdn of the Riemann server.
      • +
    • --ca to specify the CA that authenticate the Riemann server.
      • +
    • --cert to specify the client certificate.
      • +
    • --key to specify the RSA key to be used by the client certificate.
      • +
    +

    Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. +This will allow to easily create charts consumption for each vm and defined which one is the top contributor.

    +

    Troubleshooting note: run Scaphandre using -vv parameter. If Scaphandre is stuck on the Send data log event, ensure you are connecting the Riemann server using a TLS port (5554 in the below example). +As a reference here is a Riemann configuration:

    +
    ; -*- mode: clojure; -*-
+; vim: filetype=clojure
+
+(logging/init {:file "riemann.log"})
+
+; Listen on the local interface over TCP (5555), UDP (5555), TLS/TCP (5554)  and websockets
+; (5556)
+(let [host "0.0.0.0"]
+  (tcp-server {:host host})
+  (tcp-server {:host host
+               :port 5554
+               :tls? true
+               :key "/client.key.pkcs8"
+               :cert "/client.pem"
+               :ca-cert "/CA.pem"})
+  (udp-server {:host host})
+  (ws-server  {:host host}))
+
+; Expire old events from the index every 5 seconds.
+(periodically-expire 5)
+
+(let [index (index)]
+  ; Inbound events will be passed to these streams:
+  (streams
+    (default :ttl 60
+      ; Index all events immediately.
+      index
+
+      ; Log expired events.
+      (expired
+        (fn [event] (info "expired" event))))))
+
    +

    Metrics exposed

    +

    Metrics provided Scaphandre are documented here.

    +

    There is only one exception about process_power_consumption_microwatts each process has a service name process_power_consumption_microwatts_pid_exe.

    +

    As an example, process consumption can be retrieved using the following Riemann query:

    +
    (service =~ "process_power_consumption_microwatts_%_firefox") or (service =~ "process_power_consumption_microwatts_%_scaphandre")
+
    +

    Stdout exporter

    +

    Usage

    +

    You can launch the stdout exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre stdout
+
    +

    Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. +A value of -t 0 will display top consumers infinitely and must be interrupted with ctrl-c.

    +

    Here is how to display metrics during one minute:

    +
    scaphandre stdout -t 60
+
    +

    You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step:

    +
    scaphandre stdout -t 60 -s 5
+
    +

    You can change the number of top consumers displayed with -p. Here is how to display the first 20 top consumers:

    +
    scaphandre stdout -p 20
+
    +

    You can filter the processes to display with -r. A warning will be risen if this option is used with -p at the same time. +In such case, -p behavior is disabled.

    +

    The -r expected parameter is a regular expression. Details can be found here and tested here.

    +

    Here is how to display power data for the 'scaphandre' process:

    +
    scaphandre stdout -r 'scaphandre'
+
    +

    Metrics provided Scaphandre are documented here.

    +

    Since 1.0.0 the flag --raw-metrics displays all metrics available for the host, as a parseable list. This might be useful to list metrics that you would like to fetch afterwards in your monitoring dashboard. Without this flag enabled, Stdout exporter has it's own format and might not show you all available metrics.

    +

    As always exporter's options can be displayed with -h:

    +
    Write the metrics to the terminal
+
+Usage: scaphandre stdout [OPTIONS]
+
+Options:
+  -t, --timeout <TIMEOUT>            Maximum time spent measuring, in seconds. If negative, runs forever [default: 10]
+  -s, --step <SECONDS>               Interval between two measurements, in seconds [default: 2]
+  -p, --processes <PROCESSES>        Maximum number of processes to display [default: 5]
+  -r, --regex-filter <REGEX_FILTER>  Filter processes based on regular expressions (example: 'scaph\\w\\w.e')
+      --containers                   Monitor and apply labels for processes running as containers
+  -q, --qemu                         Apply labels to metrics of processes looking like a Qemu/KVM virtual machine
+      --raw-metrics                  Display metrics with their names
+  -h, --help                         Print help
    +

    Warp10 exporter

    +

    warp10 exporter

    +

    Usage

    +

    You can launch the Warp10 exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre warp10
+
    +

    You need a token to be able to push data to a warp10 instance. +The SCAPH_WARP10_WRITE_TOKEN env var can be used to make it available to scaphandre. +Please refer to the warp10 documentation to know how to get the token in the first place.

    +

    As always exporter's options can be displayed with -h:

    +
    Expose the metrics to a Warp10 host, through HTTP
+
+Usage: scaphandre warpten [OPTIONS]
+
+Options:
+  -H, --host <HOST>                FQDN or IP address of the Warp10 instance [default: localhost]
+  -p, --port <PORT>                TCP port of the Warp10 instance [default: 8080]
+  -S, --scheme <SCHEME>            "http" or "https" [default: http]
+  -t, --write-token <WRITE_TOKEN>  Auth token to write data to Warp10. If not specified, you must set the env variable SCAPH_WARP10_WRITE_TOKEN
+  -s, --step <SECONDS>             Interval between two measurements, in seconds [default: 2]
+  -q, --qemu                       Apply labels to metrics of processes looking like a Qemu/KVM virtual machine
+  -h, --help                       Print help
+
    +

    With default options values, the metrics are sent to http://localhost:8080 every 60 seconds

    +

    Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. +This will allow to easily create charts consumption for each vm and defined which one is the top contributor.

    +

    Metrics provided Scaphandre are documented here.

    +

    MSR_RAPL sensor

    +

    Pre-requesites

    +

    At the time those lines are written, this sensor works only on:

    +
      +
    • OS: Windows 10/Windows Server 2016, Windows Server 2019
      • +
    • Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012)
      • +
    +

    This sensor needs the RAPL MSR-based driver to be installed.

    +

    Usage

    +

    To explicitely call the powercap_rapl sensor from the command line use:

    +
    scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use
+
    +

    You can see arguments available from the cli for this sensors with:

    +
    scaphandre -s msr_rapl -h
+
    +

    Please refer to doc.rs code documentation for more details.

    +

    Options available

    +

    TODO

    +

    Environment variables

    +

    TODO

    +

    Troubleshooting

    +

    TODO

    +

    Powercap_rapl sensor

    +

    Pre-requesites

    +

    At the time those lines are written, this sensor works only on:

    +
      +
    • OS: GNU/Linux
      • +
    • Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012)
      • +
    +

    It needs the following kernel modules to be present and running:

    +

    On kernels 5.0 or later: intel_rapl_common

    +

    On kernel prior 5.0: intel_rapl

    +

    For AMD processors, it seems that powercap/rapl will work only since kernel 5.8 +and 5.11 for family 19h.

    +

    Energy consumption data can be directly collected on a physical machine only.

    +

    To collect energy consumption on a virtual machine, you may first collect power consumption data from the hypervisor thanks to the qemu exporter and then collect those metrics in the virtual machine thanks to this sensor, with --vm flag enabled.

    +

    Usage

    +

    To explicitely call the powercap_rapl sensor from the command line use:

    +
    scaphandre -s powercap_rapl EXPORTER # EXPORTER being the exporter name you want to use
+
    +

    You can see arguments available from the cli for this sensors with:

    +
    scaphandre -s powercap_rapl -h
+
    +

    If running in a virtual machine:

    +
    scaphandre --vm -s powercap_rapl EXPORTER
+
    +

    Please refer to doc.rs code documentation for more details.

    +

    Options available

    +
      +
    • sensor-buffer-per-socket-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each socket
      • +
    • sensor-buffer-per-domain-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each domain
      • +
    +

    Environment variables

    +

    If in --vm mode, you want to read metrics from another path than the default /var/scaphandre, set env var SCAPHANDRE_POWERCAP_PATH with the desired path.

    +

    Troubleshooting

    +

    When running scaphandre on Ubuntu 20.xx I get a permission denied error

    +

    Since linux kernel package 5.4.0-53.59 in debian/ubuntu, powercap attributes are only accessible by root:

    +
    linux (5.4.0-53.59) focal; urgency=medium
+
+  * CVE-2020-8694
+    - powercap: make attributes only readable by root
+
    +

    Therefor, the user running scaphandre needs to have read access to energy_uj files in /sys/class/powercap.

    +

    You can run the init.sh script to apply appropriate permissions to the required files.

    +

    MSR_RAPL sensor

    +

    Pre-requesites

    +

    At the time those lines are written, this sensor works only on:

    +
      +
    • OS: Windows 10/Windows Server 2016, Windows Server 2019
      • +
    • Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012)
      • +
    +

    This sensor needs the RAPL MSR-based driver to be installed.

    +

    Usage

    +

    To explicitely call the powercap_rapl sensor from the command line use:

    +
    scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use
+
    +

    You can see arguments available from the cli for this sensors with:

    +
    scaphandre -s msr_rapl -h
+
    +

    Please refer to doc.rs code documentation for more details.

    +

    Options available

    +

    TODO

    +

    Environment variables

    +

    TODO

    +

    Troubleshooting

    +

    TODO

    +

    Why ?

    +

    We are facing the biggest challenge of mankind history: to make our activities sustainable enough to not jeopardize our future.

    +

    Global average temperature anomaly

    +

    To match the Paris agreement objective of not going further than +2 Celcius degrees on average in 2100, we need to transform our industries. +The tech industry is no exception and we need to make sure that its benefits are not cancelled (or worse) by its negative impact.

    +

    Measuring power consumption in tech services infrastructures is not as easy as it seems. We often rely on physical devices to do that and need to build in-house data pipelines to get those metrics useful. Furthermore this doesn't give fine graned data regarding applications/processes power consumption but only the host power consumption. +This is even harder in a virtualization environement or as public cloud customers.

    +

    Even recent scientific researches about tech energy consumption rely on statistical, both large and narrowed scale, assumptions based data (because it's all we got). Despite their weaknesses, they also all agree on the fact that the current consumption of datacenters and the Internet will increase drastically in the following years.

    +

    Scaphandre aims to initiate a collaboration of tech companies and enthusiasts to provide an easy, lightweight, robust and well understood way to precisely measure the energy consumption and make it useful to take soberness decisions.

    +

    Note that the greenhouse gazes emissions related to this energy consumption depends on the energetic mix of your country. You may find valuable data about that on Electricity Map.

    +

    Compatibility

    +

    Scaphandre intends to provide multiple ways to gather power consumption metrics and make understanding tech services footprint possible in many situations. Depending on how you use scaphandre, you may have some restrictions.

    +

    To summarize, scaphandre should provide two ways to estimate the power consumption of a service, process or machine. Either by measuring it, using software interfaces that give access to hardware metrics, or by estimating it if measuring is not an option (this is a planned feature, not yet implemented as those lines are written, in december 2020).

    +

    In scaphandre, the code responsible to collect the power consumption data before any further processing is grouped in components called sensors. If you want more details about scaphandre structure, here are the explanations.

    +

    On GNU/Linux PowercapRAPL sensor enables you to measure the power consumption, but it doesn't work in all contexts.

    +

    On Windows, the MsrRAPL sensor, coupled with the driver responsible to read RAPL MSR's enables you to do (almost) the same.

    +
    + + + +
    SensorIntel x86 bare metalAMD x86 bare metalARM bare metalVirtual MachinePublic cloud instanceContainer
    PowercapRAPL (GNU/Linux only)YesYes ⚠️ kernel > 5.11 requiredWe don't know yetYes, if on a qemu/KVM hypervisor that runs scaphandre and the Qemu exporterNo, until your cloud provider uses scaphandre on its hypervisorsDepends on what you want
    MsrRAPL (Windows only)YesProbable yes (not tested yet, if you have windows operated AMD gear, please consider contributingNoNot yet, depends on improvements on the MsrRAPL sensors and overall windows/hypervisors support in ScaphandreNo, until your cloud provider uses scaphandre on its hypervisorsMight work, not tested yet. If you want to join us in this journey, please consider contributing
    Future estimation based sensorFuture YesFuture YesFuture YesFuture YesFuture YesFuture Yes
    +
    +

    Checking RAPL is available on your CPU

    +

    Sensors including "RAPL" in their name rely on RAPL.

    +

    The pts and pln feature flags ("Intel Package Thermal Status" and "Intel Power Limit Notification" respectively) seem to indicate that RAPL is supported on a CPU. On GNU/Linux, you could be sure of their presence, if this command succeds and matches :

    +
    egrep "(pts|pln)" /proc/cpuinfo
+
    +

    Troubleshooting

    +

    I get a permission denied error when I run scaphandre, no matter what is the exporter

    +

    Since Linux kernel 5.10 (late 2020), the energy counters files that the PowercapRAPL sensor uses, are owned by root.

    +

    To ensure this is your issue and fix that quickly you can run the init.sh script:

    +
    bash init.sh
+
    +

    Then run scaphandre. If it does not work, the issue is somewhere else.

    +

    I get a no such device error, the intel_rapl of intel_rapl_common kernel modules are present

    +

    It can mean that your cpu doesn't support RAPL. Please refer to the compatibility section to be sure.

    +

    I can't mount the required kernel modules, getting a Could'nt find XXX modules error

    +

    If you are in a situation comparable to this one, you may need to install additional packages.

    +

    On ubuntu 20.01 and 20.10, try to install linux-modules-extra-$(uname -r) with apt. Then you should be able to modprobe intel_rapl_common.

    +

    On an AMD cpu machine, I get the following stracktrace

    +
    scaphandre::sensors::powercap_rapl: Couldn't find intel_rapl modules.
+thread 'main' panicked at 'Trick: if you are running on a vm, do not forget to use --vm parameter invoking scaphandre at the command line', src/sensors/mod.rs:238:18
+stack backtrace:
+   0: rust_begin_unwind
+             at /build/rust/src/rustc-1.49.0-src/library/std/src/panicking.rs:495:5
+   1: core::panicking::panic_fmt
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/panicking.rs:92:14
+   2: core::option::expect_failed
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:1260:5
+   3: core::option::Option<T>::expect
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:349:21
+   4: scaphandre::sensors::Topology::add_cpu_cores
+             at ./src/sensors/mod.rs:234:26
+   5: <scaphandre::sensors::powercap_rapl::PowercapRAPLSensor as scaphandre::sensors::Sensor>::generate_topology
+             at ./src/sensors/powercap_rapl.rs:106:9
+   6: <scaphandre::sensors::powercap_rapl::PowercapRAPLSensor as scaphandre::sensors::Sensor>::get_topology
+             at ./src/sensors/powercap_rapl.rs:112:24
+   7: scaphandre::exporters::stdout::StdoutExporter::new
+             at ./src/exporters/stdout.rs:51:30
+   8: scaphandre::run
+             at ./src/lib.rs:60:28
+   9: scaphandre::main
+             at ./src/main.rs:91:5
+  10: core::ops::function::FnOnce::call_once
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/ops/function.rs:227:5
+note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.
+
    +

    We verified that scaphandre (and especially the powercap_rapl sensor) works on AMD Zen processors with a Linux kernel 5.11 or later. Before that kernel version, it won't probably work as the drivers needed to feed powercap with rapl data are not present.

    +

    Trying to build the project I get this error

    +
    error: linker `cc` not found
+  |
+  = note: No such file or directory (os error 2)
+
+error: aborting due to previous error
+
+error: could not compile `log`
+
    +

    You need compiling tooling. On Ubuntu/Debian, run:

    +
     sudo apt install build-essential
+
    +

    Contributing guide

    +

    If you are reading this, you may be to contribute. Just for that, a big thank you ! 👏

    +

    Feel free to propose pull requests, or open new discussions or issues at will. Scaphandre is a collaborative project and all opinions and propositions shall be heard and studied. The contributions will be received with kindness, gratitude and with an open mind. Remember that we are all dwarfs standing on the shoulders of giants. We all have to learn from others and to give back, with due mutual respect.

    +

    Code of conduct

    +

    This project adheres to the Rust Code of Conduct, which can be found here.

    +

    Ways to contribute

    +

    Contributions may take multiple forms:

    +
      +
    • 💻 code, of course, but not only (there is a lot more !)
      • +
    • 📖 documentation : here is a guide to edit and build the documentation
      • +
    • 🎤 Any help on communication: writing blog posts, speaking about scaphandre in conferences, speaking and writing about the responsibility of tech to be sustainable as well !
      • +
    • 🧬 structuring the project and the community is also a very important topic. Feel free to propose help, or start discussions about that.
      • +
    +

    This project intends to unite a lot of people to have a lot of positive impact. Any action going helping us to get there will be very much appreciated ! 🎉

    +

    Contact

    +

    Discussions and questions about the project are welcome on gitter or by email.

    +

    Contribution guidelines

    +

    This project intends to use conventional commit messages and the gitflow workflow.

    +

    Please open your pull requests on the dev branch :)

    +

    Scaphandre is a not only a tool, but a framework. Modules dedicated to collect energy consumption data from the host are called Sensors. +Modules that are dedicated to send this data to a given channel or remote system are called Exporters. New Sensors and Exporters are going to be created and all contributions are welcome. For more on the internal structure please jump here.

    +

    Edit and build the documentation

    +

    Documentation source files are in docs_src, edit the content there and propose pull-requests on the scaphandre repository as if it was a code pull-request.

    +

    Here is how to build and publish the documentation after a change. First download mdbook, the static site generator we use for the documentation website:

    +
    cargo install mdbook
+
    +

    Then fork the scaphandre-documentation repository and clone the resulting repository locally.

    +

    Place the resulting documentation folder next to scaphandre's folder. Then run the build:

    +
    cd scaphandre && mdbook build
+
    +

    You should then have the result in scaphandre-documentation/docs. Commit, push and propose a PR to publish the changes.

    +

    You can also serve the current content locally to see your changes before commit:

    +
    mdbook serve
+
    +

    Additional references for documentation

    + +

    Powercap/RAPL source code in the kernel

    +
      +
    • arch/x86/events/intel/rapl.c
      • +
    • drivers/powercap
      • +
    +

    Topics to investigate

    + + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-json.html b/book/references/exporter-json.html new file mode 100644 index 00000000..60a69cdb --- /dev/null +++ b/book/references/exporter-json.html @@ -0,0 +1,257 @@ + + + + + + JSON exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    JSON exporter

    +

    Usage

    +

    You can launch the JSON exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre json
+
    +

    Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. Here is how to display metrics during one minute:

    +
    scaphandre json -t 60
+
    +

    You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step:

    +
    scaphandre json -t 60 -s 5
+
    +

    If you want a faster interval you can use option -n (for nano seconds). Here is how to display metrics during 10s with a 100ms step:

    +
    scaphandre json -t 10 -s 0 -n 100000000
+
    +

    By default, JSON is printed in the terminal, to write result in a file you can provide a path with option -f:

    +
    scaphandre json -t 10 -s 0 -n 100000000 -f report.json
+
    +

    To get informations about processes that are running in containers, add --containers:

    +
    scaphandre --no-header json --containers --max-top-consumers=15 | jq
+
    +

    Since 1.0.0 you can filter the processes, either by their process name with --process-regex, or by the name of the container they run in with --container-regex (needs the flag --containers to be active as well).

    +

    As always exporter's options can be displayed with -h:

    +
    Write the metrics in the JSON format to a file or to stdout
+
+Usage: scaphandre json [OPTIONS]
+
+Options:
+  -t, --timeout <TIMEOUT>
+          Maximum time spent measuring, in seconds. If unspecified, runs forever
+  -s, --step <SECONDS>
+          Interval between two measurements, in seconds [default: 2]
+      --step-nano <NANOSECS>
+          Additional step duration in _nano_ seconds. This is added to `step` to get the final duration [default: 0]
+      --max-top-consumers <MAX_TOP_CONSUMERS>
+          Maximum number of processes to watch [default: 10]
+  -f, --file <FILE>
+          Destination file for the report (if absent, print the report to stdout)
+      --containers
+          Monitor and apply labels for processes running as containers
+      --process-regex <PROCESS_REGEX>
+          Filter processes based on regular expressions (example: 'scaph\\w\\w.e')
+      --container-regex <CONTAINER_REGEX>
+          Filter containers based on regular expressions
+      --resources
+          Monitor and incude CPU, RAM and Disk usage per process
+  -h, --help
+          Print help
+
    +

    Metrics provided Scaphandre are documented here.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-prometheus.html b/book/references/exporter-prometheus.html new file mode 100644 index 00000000..942b25c2 --- /dev/null +++ b/book/references/exporter-prometheus.html @@ -0,0 +1,238 @@ + + + + + + Prometheus exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Prometheus exporter

    + +

    Usage

    +

    You can launch the prometheus exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre prometheus
+
    +

    As always exporter's options can be displayed with -h:

    +
    	scaphandre prometheus -h
+	scaphandre-prometheus
+	Prometheus exporter exposes power consumption metrics on an http endpoint (/metrics is default) in prometheus accepted
+	format
+
+	USAGE:
+		scaphandre prometheus [FLAGS] [OPTIONS]
+
+	FLAGS:
+        --containers    Monitor and apply labels for processes running as containers
+		-h, --help       Prints help information
+		-q, --qemu       Instruct that scaphandre is running on an hypervisor
+		-V, --version    Prints version information
+
+	OPTIONS:
+		-a, --address <address>    ipv6 or ipv4 address to expose the service to [default: ::]
+		-p, --port <port>          TCP port number to expose the service [default: 8080]
+		-s, --suffix <suffix>      url suffix to access metrics [default: metrics]
+
    +

    With default options values, the metrics are exposed on http://localhost:8080/metrics.

    +

    Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. +This will allow to easily create charts consumption for each vm and defined which one is the top contributor.

    +

    Metrics provided Scaphandre are documented here.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-prometheuspush.html b/book/references/exporter-prometheuspush.html new file mode 100644 index 00000000..7189df2d --- /dev/null +++ b/book/references/exporter-prometheuspush.html @@ -0,0 +1,235 @@ + + + + + + Prometheus-push exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    PrometheusPush Exporter for Prometheus Push Gateway

    +

    Usage

    +

    You can launch the prometheus exporter this way:

    +
    scaphandre prometheus-push
+
    +

    As always exporter's options can be displayed with -h:

    +
    	scaphandre prometheus-push -h
+	Push metrics to Prometheus Push Gateway
+
+	Usage: scaphandre prometheus-push [OPTIONS]
+
+	Options:
+	  -H, --host <HOST>      IP address (v4 or v6) of the metrics endpoint for Prometheus [default: localhost]
+	  -p, --port <PORT>      TCP port of the metrics endpoint for Prometheus [default: 9091]
+	      --suffix <SUFFIX>  [default: metrics]
+	  -S, --scheme <SCHEME>  [default: http]
+	  -s, --step <STEP>      [default: 5]
+	      --qemu             Apply labels to metrics of processes that look like a Qemu/KVM virtual machine
+	      --containers       Apply labels to metrics of processes running as containers
+	  -j, --job <JOB>        Job name to apply as a label for pushed metrics [default: scaphandre]
+	      --no-tls-check     Don't verify remote TLS certificate (works with --scheme="https")
+	  -h, --help             Print help
+
    +

    With default options values, the metrics are sent to http://localhost:9091/metrics

    +

    Metrics exposed

    +

    Metrics exposed are the same as the Prometheus (pull mode) exporter.

    +

    Push gateway's grouping key for each host is in the form job/scaphandre/instance/${HOSTNAME} with HOSTNAME being the hostname of the host sending metrics.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-qemu.html b/book/references/exporter-qemu.html new file mode 100644 index 00000000..d00560ac --- /dev/null +++ b/book/references/exporter-qemu.html @@ -0,0 +1,259 @@ + + + + + + Qemu exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Qemu exporter

    +

    Computes energy consumption metrics for each Qemu/KVM virtual machine found on the host. +Exposes those metrics as filetrees compatible with the powercap_rapl sensor.

    +

    Note that this is still experimental. Metrics are already considered trustworthy, but there are discussions and tests to be performed about the acceptable ways to share the data with the guests/vms. Any feedback or thoughts about this are welcome. Please refer to the contributing section.

    +

    Usage

    +
      +
    1. +

      Run the scaphandre with the qemu exporter on your bare metal hypervisor machine:

      +
       scaphandre qemu # this is suitable for a test, please run it as a systemd service for a production setup
+
      +
      2. +
    2. +

      Default is to expose virtual machines metrics in /var/lib/libvirt/scaphandre/${DOMAIN_NAME} with DOMAIN_NAME being the libvirt domain name of the virtual machine. +First create a tmpfs mount point to isolate metrics for that virtual machine:

      +
       mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=10m
+
      +
      3. +
    3. +

      Ensure you expose the content of this folder to the virtual machine by having this configuration in the xml configuration of the domain:

      +
      		<filesystem type='mount' accessmode='passthrough'>
+	      <driver type='virtiofs'/>
+	      <source dir='/var/lib/libvirt/scaphandre/DOMAIN_NAME'/>
+	      <target dir='scaphandre'/>
+		  <readonly />
+	    </filesystem>
+
      +

      You can edit the vm properties using sudo virsh edit <DOMAIN_NAME> using your usual editor. But it is more convenient to use virtual-manager, as explained in the following screenshots.

      +

      It also helps to define the correct syntax which probably depends from the qemu version. You can check that the above configuration is slightly different form the one below.

      +

      a. Right click in the hardware menu: +virtualmgr00

      +

      b. Enter the following parameters: +virtualmgr01

      +

      c. XML generated as a result: +virtualmgr02

      +
        +
      1. +

        Ensure the VM has been started once the configuration is applied, then mount the filesystem on the VM/guest:

        +
         mount -t 9p -o trans=virtio scaphandre /var/scaphandre
+
        +
        2. +
      2. +

        Still in the guest, run scaphandre in VM mode with the default sensor:

        +
         scaphandre --vm prometheus
+
        +
        3. +
      3. +

        Collect your virtual machine specific power usage metrics. (requesting http://VM_IP:8080/metrics in this example, using the prometheus exporter)

        +
        4. +
      +
      4. +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-riemann.html b/book/references/exporter-riemann.html new file mode 100644 index 00000000..04cf54dd --- /dev/null +++ b/book/references/exporter-riemann.html @@ -0,0 +1,291 @@ + + + + + + Riemann exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Riemann exporter

    +

    riemann exporter

    +

    Usage

    +

    You can launch the Riemann exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre riemann
+
    +

    As always exporter's options can be displayed with -h:

    +
    Expose the metrics to a Riemann server
+
+Usage: scaphandre riemann [OPTIONS]
+
+Options:
+  -a, --address <ADDRESS>
+          Address of the Riemann server. If mTLS is used this must be the server's FQDN [default: localhost]
+  -p, --port <PORT>
+          TCP port number of the Riemann server [default: 5555]
+  -d, --dispatch-interval <DISPATCH_INTERVAL>
+          Duration between each metric dispatch, in seconds [default: 5]
+  -q, --qemu
+          Apply labels to metrics of processes looking like a Qemu/KVM virtual machine
+      --containers
+          Monitor and apply labels for processes running as containers
+      --mtls
+          Connect to Riemann using mTLS instead of plain TCP
+      --ca <CA_FILE>
+          CA certificate file (.pem format)
+      --cert <CERT_FILE>
+          Client certificate file (.pem format)
+      --key <KEY_FILE>
+          Client RSA key file
+  -h, --help
+          Print help
+
    +

    With default options values, the metrics are sent to http://localhost:5555 every 5 seconds

    +

    Use --mtls option to connect to a Riemann server using mTLS. In such case, you must provide the following parameters:

    +
      +
    • --address to specify the fqdn of the Riemann server.
      • +
    • --ca to specify the CA that authenticate the Riemann server.
      • +
    • --cert to specify the client certificate.
      • +
    • --key to specify the RSA key to be used by the client certificate.
      • +
    +

    Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. +This will allow to easily create charts consumption for each vm and defined which one is the top contributor.

    +

    Troubleshooting note: run Scaphandre using -vv parameter. If Scaphandre is stuck on the Send data log event, ensure you are connecting the Riemann server using a TLS port (5554 in the below example). +As a reference here is a Riemann configuration:

    +
    ; -*- mode: clojure; -*-
+; vim: filetype=clojure
+
+(logging/init {:file "riemann.log"})
+
+; Listen on the local interface over TCP (5555), UDP (5555), TLS/TCP (5554)  and websockets
+; (5556)
+(let [host "0.0.0.0"]
+  (tcp-server {:host host})
+  (tcp-server {:host host
+               :port 5554
+               :tls? true
+               :key "/client.key.pkcs8"
+               :cert "/client.pem"
+               :ca-cert "/CA.pem"})
+  (udp-server {:host host})
+  (ws-server  {:host host}))
+
+; Expire old events from the index every 5 seconds.
+(periodically-expire 5)
+
+(let [index (index)]
+  ; Inbound events will be passed to these streams:
+  (streams
+    (default :ttl 60
+      ; Index all events immediately.
+      index
+
+      ; Log expired events.
+      (expired
+        (fn [event] (info "expired" event))))))
+
    +

    Metrics exposed

    +

    Metrics provided Scaphandre are documented here.

    +

    There is only one exception about process_power_consumption_microwatts each process has a service name process_power_consumption_microwatts_pid_exe.

    +

    As an example, process consumption can be retrieved using the following Riemann query:

    +
    (service =~ "process_power_consumption_microwatts_%_firefox") or (service =~ "process_power_consumption_microwatts_%_scaphandre")
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-stdout.html b/book/references/exporter-stdout.html new file mode 100644 index 00000000..ae3b125d --- /dev/null +++ b/book/references/exporter-stdout.html @@ -0,0 +1,246 @@ + + + + + + Stdout exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Stdout exporter

    +

    Usage

    +

    You can launch the stdout exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre stdout
+
    +

    Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. +A value of -t 0 will display top consumers infinitely and must be interrupted with ctrl-c.

    +

    Here is how to display metrics during one minute:

    +
    scaphandre stdout -t 60
+
    +

    You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step:

    +
    scaphandre stdout -t 60 -s 5
+
    +

    You can change the number of top consumers displayed with -p. Here is how to display the first 20 top consumers:

    +
    scaphandre stdout -p 20
+
    +

    You can filter the processes to display with -r. A warning will be risen if this option is used with -p at the same time. +In such case, -p behavior is disabled.

    +

    The -r expected parameter is a regular expression. Details can be found here and tested here.

    +

    Here is how to display power data for the 'scaphandre' process:

    +
    scaphandre stdout -r 'scaphandre'
+
    +

    Metrics provided Scaphandre are documented here.

    +

    Since 1.0.0 the flag --raw-metrics displays all metrics available for the host, as a parseable list. This might be useful to list metrics that you would like to fetch afterwards in your monitoring dashboard. Without this flag enabled, Stdout exporter has it's own format and might not show you all available metrics.

    +

    As always exporter's options can be displayed with -h:

    +
    Write the metrics to the terminal
+
+Usage: scaphandre stdout [OPTIONS]
+
+Options:
+  -t, --timeout <TIMEOUT>            Maximum time spent measuring, in seconds. If negative, runs forever [default: 10]
+  -s, --step <SECONDS>               Interval between two measurements, in seconds [default: 2]
+  -p, --processes <PROCESSES>        Maximum number of processes to display [default: 5]
+  -r, --regex-filter <REGEX_FILTER>  Filter processes based on regular expressions (example: 'scaph\\w\\w.e')
+      --containers                   Monitor and apply labels for processes running as containers
+  -q, --qemu                         Apply labels to metrics of processes looking like a Qemu/KVM virtual machine
+      --raw-metrics                  Display metrics with their names
+  -h, --help                         Print help
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/exporter-warp10.html b/book/references/exporter-warp10.html new file mode 100644 index 00000000..a61c818f --- /dev/null +++ b/book/references/exporter-warp10.html @@ -0,0 +1,235 @@ + + + + + + Warp10 exporter - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Warp10 exporter

    +

    warp10 exporter

    +

    Usage

    +

    You can launch the Warp10 exporter this way (running the default powercap_rapl sensor):

    +
    scaphandre warp10
+
    +

    You need a token to be able to push data to a warp10 instance. +The SCAPH_WARP10_WRITE_TOKEN env var can be used to make it available to scaphandre. +Please refer to the warp10 documentation to know how to get the token in the first place.

    +

    As always exporter's options can be displayed with -h:

    +
    Expose the metrics to a Warp10 host, through HTTP
+
+Usage: scaphandre warpten [OPTIONS]
+
+Options:
+  -H, --host <HOST>                FQDN or IP address of the Warp10 instance [default: localhost]
+  -p, --port <PORT>                TCP port of the Warp10 instance [default: 8080]
+  -S, --scheme <SCHEME>            "http" or "https" [default: http]
+  -t, --write-token <WRITE_TOKEN>  Auth token to write data to Warp10. If not specified, you must set the env variable SCAPH_WARP10_WRITE_TOKEN
+  -s, --step <SECONDS>             Interval between two measurements, in seconds [default: 2]
+  -q, --qemu                       Apply labels to metrics of processes looking like a Qemu/KVM virtual machine
+  -h, --help                       Print help
+
    +

    With default options values, the metrics are sent to http://localhost:8080 every 60 seconds

    +

    Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. +This will allow to easily create charts consumption for each vm and defined which one is the top contributor.

    +

    Metrics provided Scaphandre are documented here.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
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zN726r%2(&4>8szfN2}&}lc7M|2>!hS=l@vuLHtP}<5K|~6=s{iyG7_ZgxR9jik9KB%EeV$(@;RZ(^S_PBVV-FFXYgJ&MbLb!XN!Vb@F)6HB&r_S}sMWWW6mMG>;w$I}1?XF1xpH{$~eO z06p01wp=%%+o^5(UlQmoDZT9e)fIzg?SJoq_GM`=5AapXvwyTSR=oBfRe0@rG;aw< P*AHyZk|-84{`B7faFtxN literal 0 HcmV?d00001 diff --git a/book/references/metrics.html b/book/references/metrics.html new file mode 100644 index 00000000..de30c873 --- /dev/null +++ b/book/references/metrics.html @@ -0,0 +1,312 @@ + + + + + + Metrics available - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Metrics exposed by Scaphandre

    +

    With Stdout exporter, you can see all metrics available on your machine with flag --raw-metrics. +With prometheus exporter, all metrics have a HELP section provided on /metrics (or whatever suffix you choosed to expose them).

    +

    Here are some key metrics that you will most probably be interested in:

    +
      +
    • scaph_host_power_microwatts: Aggregation of several measurements to give a try on the power usage of the the whole host, in microwatts (GAUGE). It might be the same as RAPL PSYS (see RAPL domains) measurement if available, or a combination of RAPL PKG and DRAM domains + an estimation of other hardware componentes power usage.
      • +
    • scaph_process_power_consumption_microwatts{exe="$PROCESS_EXE",pid="$PROCESS_PID",cmdline="path/to/exe --and-maybe-options"}: Power consumption due to the process, measured on at the topology level, in microwatts. PROCESS_EXE being the name of the executable and PROCESS_PID being the pid of the process. (GAUGE)
      • +
    +

    For more details on that metric labels, see this section.

    +

    And some more deep metrics that you may want if you need to make more complex calculations and data processing:

    +
      +
    • scaph_host_energy_microjoules : Energy measurement for the whole host, as extracted from the sensor, in microjoules. (COUNTER)
      • +
    • scaph_socket_power_microwatts{socket_id="$SOCKET_ID"}: Power measurement relative to a CPU socket, in microwatts. SOCKET_ID being the socket numerical id (GAUGE)
      • +
    +

    If your machine provides RAPL PSYS domain (see RAPL domains), you can get the raw energy counter for PSYS/platform with scaph_host_rapl_psys_microjoules. Note that scaph_host_power_microwatts is based on this PSYS counter if it is available.

    +

    Since 1.0.0 the following host metrics are availalable as well ;

    +
      +
    • scaph_host_swap_total_bytes: Total swap space on the host, in bytes.
      • +
    • scaph_host_swap_free_bytes: Swap space free to be used on the host, in bytes.
      • +
    • scaph_host_memory_free_bytes: Random Access Memory free to be used (not reused) on the host, in bytes.
      • +
    • scaph_host_memory_available_bytes: Random Access Memory available to be re-used on the host, in bytes.
      • +
    • scaph_host_memory_total_bytes: Random Access Memory installed on the host, in bytes.
      • +
    • scaph_host_disk_total_bytes: Total disk size, in bytes.
      • +
    • scaph_host_disk_available_bytes: Available disk space, in bytes.
      • +
    +

    Disk metrics have the following labels : disk_file_system, disk_is_removable, disk_type, disk_mount_point, disk_name

    +
      +
    • scaph_host_cpu_frequency: Global frequency of all the cpus. In MegaHertz
      • +
    • scaph_host_load_avg_fifteen: Load average on 15 minutes.
      • +
    • scaph_host_load_avg_five: Load average on 5 minutes.
      • +
    • scaph_host_load_avg_one: Load average on 1 minute.
      • +
    +

    If you hack scaph or just want to investigate its behavior, you may be interested in some internal metrics:

    +
      +
    • +

      scaph_self_memory_bytes: Scaphandre memory usage, in bytes

      +
      • +
    • +

      scaph_self_memory_virtual_bytes: Scaphandre virtual memory usage, in bytes

      +
      • +
    • +

      scaph_self_topo_stats_nb: Number of CPUStat traces stored for the host

      +
      • +
    • +

      scaph_self_topo_records_nb: Number of energy consumption Records stored for the host

      +
      • +
    • +

      scaph_self_topo_procs_nb: Number of processes monitored by scaph

      +
      • +
    • +

      scaph_self_socket_stats_nb{socket_id="SOCKET_ID"}: Number of CPUStat traces stored for each socket

      +
      • +
    • +

      scaph_self_socket_records_nb{socket_id="SOCKET_ID"}: Number of energy consumption Records stored for each socket, with SOCKET_ID being the id of the socket measured

      +
      • +
    • +

      scaph_self_domain_records_nb{socket_id="SOCKET_ID",rapl_domain_name="RAPL_DOMAIN_NAME "}: Number of energy consumption Records stored for a Domain, where SOCKET_ID identifies the socket and RAPL_DOMAIN_NAME identifies the rapl domain measured on that socket

      +
      • +
    +

    Getting per process data with scaph_process_* metrics

    +

    Here are available labels for the scaph_process_power_consumption_microwatts metric that you may need to extract the data you need:

    +
      +
    • exe: is the name of the executable that is the origin of that process. This is good to be used when your application is running one or only a few processes.
      • +
    • cmdline: this contains the whole command line with the executable path and its parameters (concatenated). You can filter on this label by using prometheus =~ operator to match a regular expression pattern. This is very practical in many situations.
      • +
    • instance: this is a prometheus generated label to enable you to filter the metrics by the originating host. This is very useful when you monitor distributed services, so that you can not only sum the metrics for the same service on the different hosts but also see what instance of that service is consuming the most, or notice differences beteween hosts that may not have the same hardware, and so on...
      • +
    • pid: is the process id, which is useful if you want to track a specific process and have your eyes on what's happening on the host, but not so practical to use in a more general use case
      • +
    +

    Since 1.0.0 the following per-process metrics are available as well :

    +
      +
    • scaph_process_cpu_usage_percentage: CPU time consumed by the process, as a percentage of the capacity of all the CPU Cores
      • +
    • scaph_process_memory_bytes: Physical RAM usage by the process, in bytes
      • +
    • scaph_process_memory_virtual_bytes: Virtual RAM usage by the process, in bytes
      • +
    • scaph_process_disk_total_write_bytes: Total data written on disk by the process, in bytes
      • +
    • scaph_process_disk_write_bytes: Data written on disk by the process, in bytes
      • +
    • scaph_process_disk_read_bytes: Data read on disk by the process, in bytes
      • +
    • scaph_process_disk_total_read_bytes: Total data read on disk by the process, in bytes
      • +
    +

    Get container-specific labels on scaph_process_* metrics

    +

    The flag --containers enables Scaphandre to collect data about the running Docker containers or Kubernetes pods on the local machine. This way, it adds specific labels to make filtering processes power consumption metrics by their encapsulation in containers easier.

    +

    Generic labels help to identify the container runtime and scheduler used (based on the content of /proc/PID/cgroup):

    +

    container_scheduler: possible values are docker or kubernetes. If this label is not attached to the metric, it means that scaphandre didn't manage to identify the container scheduler based on cgroups data.

    +

    Then the label container_runtime could be attached. The only possible value for now is containerd.

    +

    container_id is the ID scaphandre got from /proc/PID/cgroup for that container.

    +

    For Docker containers (if container_scheduler is set), available labels are :

    +
      +
    • container_names: is a string containing names attached to that container, according to the docker daemon
      • +
    • container_docker_version: version of the docker daemon
      • +
    • container_label_maintainer: content of the maintainer field for this container
      • +
    +

    For containers coming from a docker-compose file, there are a bunch of labels related to data coming from the docker daemon:

    +
      +
    • container_label_com_docker_compose_project_working_dir
      • +
    • container_label_com_docker_compose_container_number
      • +
    • container_label_com_docker_compose_project_config_files
      • +
    • container_label_com_docker_compose_version
      • +
    • container_label_com_docker_compose_service
      • +
    • container_label_com_docker_compose_oneoff
      • +
    +

    For Kubernetes pods (if container_scheduler is set), available labels are :

    +
      +
    • kubernetes_node_name: identifies the name of the kubernetes node scaphandre is running on
      • +
    • kubernetes_pod_name: the name of the pod the container belongs to
      • +
    • kubernetes_pod_namespace: the namespace of the pod the container belongs to
      • +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/sensor-msr_rapl.html b/book/references/sensor-msr_rapl.html new file mode 100644 index 00000000..eed788c9 --- /dev/null +++ b/book/references/sensor-msr_rapl.html @@ -0,0 +1,230 @@ + + + + + + MSRRAPL sensor - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    MSR_RAPL sensor

    +

    Pre-requesites

    +

    At the time those lines are written, this sensor works only on:

    +
      +
    • OS: Windows 10/Windows Server 2016, Windows Server 2019
      • +
    • Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012)
      • +
    +

    This sensor needs the RAPL MSR-based driver to be installed.

    +

    Usage

    +

    To explicitely call the powercap_rapl sensor from the command line use:

    +
    scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use
+
    +

    You can see arguments available from the cli for this sensors with:

    +
    scaphandre -s msr_rapl -h
+
    +

    Please refer to doc.rs code documentation for more details.

    +

    Options available

    +

    TODO

    +

    Environment variables

    +

    TODO

    +

    Troubleshooting

    +

    TODO

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/references/sensor-powercap_rapl.html b/book/references/sensor-powercap_rapl.html new file mode 100644 index 00000000..9c432344 --- /dev/null +++ b/book/references/sensor-powercap_rapl.html @@ -0,0 +1,250 @@ + + + + + + PowercapRAPL sensor - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Powercap_rapl sensor

    +

    Pre-requesites

    +

    At the time those lines are written, this sensor works only on:

    +
      +
    • OS: GNU/Linux
      • +
    • Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012)
      • +
    +

    It needs the following kernel modules to be present and running:

    +

    On kernels 5.0 or later: intel_rapl_common

    +

    On kernel prior 5.0: intel_rapl

    +

    For AMD processors, it seems that powercap/rapl will work only since kernel 5.8 +and 5.11 for family 19h.

    +

    Energy consumption data can be directly collected on a physical machine only.

    +

    To collect energy consumption on a virtual machine, you may first collect power consumption data from the hypervisor thanks to the qemu exporter and then collect those metrics in the virtual machine thanks to this sensor, with --vm flag enabled.

    +

    Usage

    +

    To explicitely call the powercap_rapl sensor from the command line use:

    +
    scaphandre -s powercap_rapl EXPORTER # EXPORTER being the exporter name you want to use
+
    +

    You can see arguments available from the cli for this sensors with:

    +
    scaphandre -s powercap_rapl -h
+
    +

    If running in a virtual machine:

    +
    scaphandre --vm -s powercap_rapl EXPORTER
+
    +

    Please refer to doc.rs code documentation for more details.

    +

    Options available

    +
      +
    • sensor-buffer-per-socket-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each socket
      • +
    • sensor-buffer-per-domain-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each domain
      • +
    +

    Environment variables

    +

    If in --vm mode, you want to read metrics from another path than the default /var/scaphandre, set env var SCAPHANDRE_POWERCAP_PATH with the desired path.

    +

    Troubleshooting

    +

    When running scaphandre on Ubuntu 20.xx I get a permission denied error

    +

    Since linux kernel package 5.4.0-53.59 in debian/ubuntu, powercap attributes are only accessible by root:

    +
    linux (5.4.0-53.59) focal; urgency=medium
+
+  * CVE-2020-8694
+    - powercap: make attributes only readable by root
+
    +

    Therefor, the user running scaphandre needs to have read access to energy_uj files in /sys/class/powercap.

    +

    You can run the init.sh script to apply appropriate permissions to the required files.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
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    ipv6 or ipv4 address to expose the service to [default: ::] -p, --port TCP port number to expose the service [default: 8080] -s, --suffix url suffix to access metrics [default: metrics] With default options values, the metrics are exposed on http://localhost:8080/metrics. Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. This will allow to easily create charts consumption for each vm and defined which one is the top contributor. Metrics provided Scaphandre are documented here .","breadcrumbs":"Prometheus exporter » Usage","id":"38","title":"Usage"},"39":{"body":"","breadcrumbs":"Prometheus-push exporter » PrometheusPush Exporter for Prometheus Push Gateway","id":"39","title":"PrometheusPush Exporter for Prometheus Push Gateway"},"4":{"body":"At that point, you're ready to use scaphandre. The Stdout exporter is very basic and other exporters should allow you to use and send those metrics the way you like. The prometheus exporter , for example, allows you to expose power consumption metrics as an HTTP endpoint that can be scrapped by a prometheus instance: docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -p 8080:8080 -ti hubblo/scaphandre prometheus Here is the same command with a simple binary: scaphandre prometheus To validate that the metrics are available, send an http request from another terminal: curl -s http://localhost:8080/metrics Here you can see examples of graphs you can get thanks to scaphandre, the prometheus exporter, prometheus and grafana .","breadcrumbs":"Getting Started » Going further","id":"4","title":"Going further"},"40":{"body":"You can launch the prometheus exporter this way: scaphandre prometheus-push As always exporter's options can be displayed with -h: scaphandre prometheus-push -h Push metrics to Prometheus Push Gateway Usage: scaphandre prometheus-push [OPTIONS] Options: -H, --host IP address (v4 or v6) of the metrics endpoint for Prometheus [default: localhost] -p, --port TCP port of the metrics endpoint for Prometheus [default: 9091] --suffix [default: metrics] -S, --scheme [default: http] -s, --step [default: 5] --qemu Apply labels to metrics of processes that look like a Qemu/KVM virtual machine --containers Apply labels to metrics of processes running as containers -j, --job Job name to apply as a label for pushed metrics [default: scaphandre] --no-tls-check Don't verify remote TLS certificate (works with --scheme=\"https\") -h, --help Print help With default options values, the metrics are sent to http://localhost:9091/metrics","breadcrumbs":"Prometheus-push exporter » Usage","id":"40","title":"Usage"},"41":{"body":"Metrics exposed are the same as the Prometheus (pull mode) exporter. Push gateway's grouping key for each host is in the form job/scaphandre/instance/${HOSTNAME} with HOSTNAME being the hostname of the host sending metrics.","breadcrumbs":"Prometheus-push exporter » Metrics exposed","id":"41","title":"Metrics exposed"},"42":{"body":"Computes energy consumption metrics for each Qemu/KVM virtual machine found on the host. Exposes those metrics as filetrees compatible with the powercap_rapl sensor . Note that this is still experimental. Metrics are already considered trustworthy, but there are discussions and tests to be performed about the acceptable ways to share the data with the guests/vms. Any feedback or thoughts about this are welcome. Please refer to the contributing section .","breadcrumbs":"Qemu exporter » Qemu exporter","id":"42","title":"Qemu exporter"},"43":{"body":"Run the scaphandre with the qemu exporter on your bare metal hypervisor machine: scaphandre qemu # this is suitable for a test, please run it as a systemd service for a production setup Default is to expose virtual machines metrics in /var/lib/libvirt/scaphandre/${DOMAIN_NAME} with DOMAIN_NAME being the libvirt domain name of the virtual machine. First create a tmpfs mount point to isolate metrics for that virtual machine: mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=10m Ensure you expose the content of this folder to the virtual machine by having this configuration in the xml configuration of the domain: You can edit the vm properties using sudo virsh edit using your usual editor. But it is more convenient to use virtual-manager, as explained in the following screenshots. It also helps to define the correct syntax which probably depends from the qemu version. You can check that the above configuration is slightly different form the one below . a. Right click in the hardware menu: virtualmgr00 b. Enter the following parameters: virtualmgr01 c. XML generated as a result: virtualmgr02 Ensure the VM has been started once the configuration is applied, then mount the filesystem on the VM/guest: mount -t 9p -o trans=virtio scaphandre /var/scaphandre Still in the guest, run scaphandre in VM mode with the default sensor: scaphandre --vm prometheus Collect your virtual machine specific power usage metrics. (requesting http://VM_IP:8080/metrics in this example, using the prometheus exporter)","breadcrumbs":"Qemu exporter » Usage","id":"43","title":"Usage"},"44":{"body":"riemann exporter","breadcrumbs":"Riemann exporter » Riemann exporter","id":"44","title":"Riemann exporter"},"45":{"body":"You can launch the Riemann exporter this way (running the default powercap_rapl sensor): scaphandre riemann As always exporter's options can be displayed with -h: Expose the metrics to a Riemann server Usage: scaphandre riemann [OPTIONS] Options: -a, --address
    Address of the Riemann server. If mTLS is used this must be the server's FQDN [default: localhost] -p, --port TCP port number of the Riemann server [default: 5555] -d, --dispatch-interval Duration between each metric dispatch, in seconds [default: 5] -q, --qemu Apply labels to metrics of processes looking like a Qemu/KVM virtual machine --containers Monitor and apply labels for processes running as containers --mtls Connect to Riemann using mTLS instead of plain TCP --ca CA certificate file (.pem format) --cert Client certificate file (.pem format) --key Client RSA key file -h, --help Print help With default options values, the metrics are sent to http://localhost:5555 every 5 seconds Use --mtls option to connect to a Riemann server using mTLS. In such case, you must provide the following parameters: --address to specify the fqdn of the Riemann server. --ca to specify the CA that authenticate the Riemann server. --cert to specify the client certificate. --key to specify the RSA key to be used by the client certificate. Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. This will allow to easily create charts consumption for each vm and defined which one is the top contributor. Troubleshooting note: run Scaphandre using -vv parameter. If Scaphandre is stuck on the Send data log event, ensure you are connecting the Riemann server using a TLS port (5554 in the below example). As a reference here is a Riemann configuration: ; -*- mode: clojure; -*-\n; vim: filetype=clojure (logging/init {:file \"riemann.log\"}) ; Listen on the local interface over TCP (5555), UDP (5555), TLS/TCP (5554) and websockets\n; (5556)\n(let [host \"0.0.0.0\"] (tcp-server {:host host}) (tcp-server {:host host :port 5554 :tls? true :key \"/client.key.pkcs8\" :cert \"/client.pem\" :ca-cert \"/CA.pem\"}) (udp-server {:host host}) (ws-server {:host host})) ; Expire old events from the index every 5 seconds.\n(periodically-expire 5) (let [index (index)] ; Inbound events will be passed to these streams: (streams (default :ttl 60 ; Index all events immediately. index ; Log expired events. (expired (fn [event] (info \"expired\" event))))))","breadcrumbs":"Riemann exporter » Usage","id":"45","title":"Usage"},"46":{"body":"Metrics provided Scaphandre are documented here . There is only one exception about process_power_consumption_microwatts each process has a service name process_power_consumption_microwatts_pid_exe. As an example, process consumption can be retrieved using the following Riemann query: (service =~ \"process_power_consumption_microwatts_%_firefox\") or (service =~ \"process_power_consumption_microwatts_%_scaphandre\")","breadcrumbs":"Riemann exporter » Metrics exposed","id":"46","title":"Metrics exposed"},"47":{"body":"","breadcrumbs":"Stdout exporter » Stdout exporter","id":"47","title":"Stdout exporter"},"48":{"body":"You can launch the stdout exporter this way (running the default powercap_rapl sensor): scaphandre stdout Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. A value of -t 0 will display top consumers infinitely and must be interrupted with ctrl-c. Here is how to display metrics during one minute: scaphandre stdout -t 60 You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step: scaphandre stdout -t 60 -s 5 You can change the number of top consumers displayed with -p. Here is how to display the first 20 top consumers: scaphandre stdout -p 20 You can filter the processes to display with -r. A warning will be risen if this option is used with -p at the same time. In such case, -p behavior is disabled. The -r expected parameter is a regular expression. Details can be found here and tested here . Here is how to display power data for the 'scaphandre' process: scaphandre stdout -r 'scaphandre' Metrics provided Scaphandre are documented here . Since 1.0.0 the flag --raw-metrics displays all metrics available for the host, as a parseable list. This might be useful to list metrics that you would like to fetch afterwards in your monitoring dashboard. Without this flag enabled, Stdout exporter has it's own format and might not show you all available metrics. As always exporter's options can be displayed with -h: Write the metrics to the terminal Usage: scaphandre stdout [OPTIONS] Options: -t, --timeout Maximum time spent measuring, in seconds. If negative, runs forever [default: 10] -s, --step Interval between two measurements, in seconds [default: 2] -p, --processes Maximum number of processes to display [default: 5] -r, --regex-filter Filter processes based on regular expressions (example: 'scaph\\\\w\\\\w.e') --containers Monitor and apply labels for processes running as containers -q, --qemu Apply labels to metrics of processes looking like a Qemu/KVM virtual machine --raw-metrics Display metrics with their names -h, --help Print help","breadcrumbs":"Stdout exporter » Usage","id":"48","title":"Usage"},"49":{"body":"warp10 exporter","breadcrumbs":"Warp10 exporter » Warp10 exporter","id":"49","title":"Warp10 exporter"},"5":{"body":"Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common before running scaphandre: modprobe intel_rapl_common # or intel_rapl for kernels < 5 To quickly run scaphandre in your terminal you may use docker : docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15 Or if you downloaded or built a binary, you'd run: scaphandre stdout -t 15 Here are some other ways to install scaphandre depending on your context: quickly try the project with docker-compose/docker stack run scaphandre on kubernetes run scaphandre on RHEL, with prometheus-push mode Kudos to contributors who work on system packages, please have a try and/or contribute to: Debian package , maintainer: @barnumbirr NixOS package , maintainer: @mmai Other tutorials should come, as: install scaphandre as a proper systemd service scaphandre in your favorite GNU/Linux distribution (need help from packaging gurus !) scaphandre on MacOSX and more...","breadcrumbs":"Installation on GNU/Linux » Installation (GNU/Linux)","id":"5","title":"Installation (GNU/Linux)"},"50":{"body":"You can launch the Warp10 exporter this way (running the default powercap_rapl sensor): scaphandre warp10 You need a token to be able to push data to a warp10 instance. The SCAPH_WARP10_WRITE_TOKEN env var can be used to make it available to scaphandre. Please refer to the warp10 documentation to know how to get the token in the first place. As always exporter's options can be displayed with -h: Expose the metrics to a Warp10 host, through HTTP Usage: scaphandre warpten [OPTIONS] Options: -H, --host FQDN or IP address of the Warp10 instance [default: localhost] -p, --port TCP port of the Warp10 instance [default: 8080] -S, --scheme \"http\" or \"https\" [default: http] -t, --write-token Auth token to write data to Warp10. If not specified, you must set the env variable SCAPH_WARP10_WRITE_TOKEN -s, --step Interval between two measurements, in seconds [default: 2] -q, --qemu Apply labels to metrics of processes looking like a Qemu/KVM virtual machine -h, --help Print help With default options values, the metrics are sent to http://localhost:8080 every 60 seconds Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. This will allow to easily create charts consumption for each vm and defined which one is the top contributor. Metrics provided Scaphandre are documented here .","breadcrumbs":"Warp10 exporter » Usage","id":"50","title":"Usage"},"51":{"body":"","breadcrumbs":"MSR_RAPL sensor » MSR_RAPL sensor","id":"51","title":"MSR_RAPL sensor"},"52":{"body":"At the time those lines are written, this sensor works only on: OS: Windows 10/Windows Server 2016, Windows Server 2019 Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012) This sensor needs the RAPL MSR-based driver to be installed.","breadcrumbs":"MSR_RAPL sensor » Pre-requesites","id":"52","title":"Pre-requesites"},"53":{"body":"To explicitely call the powercap_rapl sensor from the command line use: scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use You can see arguments available from the cli for this sensors with: scaphandre -s msr_rapl -h Please refer to doc.rs code documentation for more details.","breadcrumbs":"MSR_RAPL sensor » Usage","id":"53","title":"Usage"},"54":{"body":"TODO","breadcrumbs":"MSR_RAPL sensor » Options available","id":"54","title":"Options available"},"55":{"body":"TODO","breadcrumbs":"MSR_RAPL sensor » Environment variables","id":"55","title":"Environment variables"},"56":{"body":"TODO","breadcrumbs":"MSR_RAPL sensor » Troubleshooting","id":"56","title":"Troubleshooting"},"57":{"body":"","breadcrumbs":"PowercapRAPL sensor » Powercap_rapl sensor","id":"57","title":"Powercap_rapl sensor"},"58":{"body":"At the time those lines are written, this sensor works only on: OS: GNU/Linux Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012) It needs the following kernel modules to be present and running: On kernels 5.0 or later: intel_rapl_common On kernel prior 5.0: intel_rapl For AMD processors, it seems that powercap/rapl will work only since kernel 5.8 and 5.11 for family 19h . Energy consumption data can be directly collected on a physical machine only. To collect energy consumption on a virtual machine, you may first collect power consumption data from the hypervisor thanks to the qemu exporter and then collect those metrics in the virtual machine thanks to this sensor, with --vm flag enabled.","breadcrumbs":"PowercapRAPL sensor » Pre-requesites","id":"58","title":"Pre-requesites"},"59":{"body":"To explicitely call the powercap_rapl sensor from the command line use: scaphandre -s powercap_rapl EXPORTER # EXPORTER being the exporter name you want to use You can see arguments available from the cli for this sensors with: scaphandre -s powercap_rapl -h If running in a virtual machine: scaphandre --vm -s powercap_rapl EXPORTER Please refer to doc.rs code documentation for more details.","breadcrumbs":"PowercapRAPL sensor » Usage","id":"59","title":"Usage"},"6":{"body":"!! Warning: Windows version of Scaphandre is still in early stage. !!","breadcrumbs":"Installation on Windows » Install Scaphandre on Windows","id":"6","title":"Install Scaphandre on Windows"},"60":{"body":"sensor-buffer-per-socket-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each socket sensor-buffer-per-domain-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each domain","breadcrumbs":"PowercapRAPL sensor » Options available","id":"60","title":"Options available"},"61":{"body":"If in --vm mode, you want to read metrics from another path than the default /var/scaphandre, set env var SCAPHANDRE_POWERCAP_PATH with the desired path.","breadcrumbs":"PowercapRAPL sensor » Environment variables","id":"61","title":"Environment variables"},"62":{"body":"When running scaphandre on Ubuntu 20.xx I get a permission denied error Since linux kernel package 5.4.0-53.59 in debian/ubuntu, powercap attributes are only accessible by root: linux (5.4.0-53.59) focal; urgency=medium * CVE-2020-8694 - powercap: make attributes only readable by root Therefor, the user running scaphandre needs to have read access to energy_uj files in /sys/class/powercap. You can run the init.sh script to apply appropriate permissions to the required files.","breadcrumbs":"PowercapRAPL sensor » Troubleshooting","id":"62","title":"Troubleshooting"},"63":{"body":"","breadcrumbs":"MSRRAPL sensor » MSR_RAPL sensor","id":"63","title":"MSR_RAPL sensor"},"64":{"body":"At the time those lines are written, this sensor works only on: OS: Windows 10/Windows Server 2016, Windows Server 2019 Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012) This sensor needs the RAPL MSR-based driver to be installed.","breadcrumbs":"MSRRAPL sensor » Pre-requesites","id":"64","title":"Pre-requesites"},"65":{"body":"To explicitely call the powercap_rapl sensor from the command line use: scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use You can see arguments available from the cli for this sensors with: scaphandre -s msr_rapl -h Please refer to doc.rs code documentation for more details.","breadcrumbs":"MSRRAPL sensor » Usage","id":"65","title":"Usage"},"66":{"body":"TODO","breadcrumbs":"MSRRAPL sensor » Options available","id":"66","title":"Options available"},"67":{"body":"TODO","breadcrumbs":"MSRRAPL sensor » Environment variables","id":"67","title":"Environment variables"},"68":{"body":"TODO","breadcrumbs":"MSRRAPL sensor » Troubleshooting","id":"68","title":"Troubleshooting"},"69":{"body":"We are facing the biggest challenge of mankind history: to make our activities sustainable enough to not jeopardize our future. Global average temperature anomaly To match the Paris agreement objective of not going further than +2 Celcius degrees on average in 2100, we need to transform our industries. The tech industry is no exception and we need to make sure that its benefits are not cancelled (or worse) by its negative impact. Measuring power consumption in tech services infrastructures is not as easy as it seems. We often rely on physical devices to do that and need to build in-house data pipelines to get those metrics useful. Furthermore this doesn't give fine graned data regarding applications/processes power consumption but only the host power consumption. This is even harder in a virtualization environement or as public cloud customers. Even recent scientific researches about tech energy consumption rely on statistical, both large and narrowed scale, assumptions based data (because it's all we got). Despite their weaknesses, they also all agree on the fact that the current consumption of datacenters and the Internet will increase drastically in the following years. Scaphandre aims to initiate a collaboration of tech companies and enthusiasts to provide an easy, lightweight, robust and well understood way to precisely measure the energy consumption and make it useful to take soberness decisions. Note that the greenhouse gazes emissions related to this energy consumption depends on the energetic mix of your country. You may find valuable data about that on Electricity Map .","breadcrumbs":"Why this project ? » Why ?","id":"69","title":"Why ?"},"7":{"body":"Download the latest exe installer from the release page and install it as an administrator . Configuring a Windows service to run Scaphandre in the background For example, to run the prometheus-push exporter in the background and target the Prometheus Push Gateway server with ip address 198.51.100.5 using HTTPS on port 443 and a step to send metrics of 45s, without checking the certificate of the push gateway (remove that option if you have a properly signed TLS certificate): sc.exe create Scaphandre binPath=\"C:\\Program Files (x86)\\scaphandre\\scaphandre.exe prometheus-push -H 198.51.100.5 -s 45 -S https -p 443 --no-tls-check\" DisplayName=Scaphandre start=auto Ensure the service is started in Services.msc, start it by right clicking on it, then Start, otherwise. To delete the service, you can do it in Services.msc, or: sc.exe delete Scaphandre Using an installer including a development version of the driver If you are running a development version of the installer (which probably means a development version of the driver ), you'll need to enable Test Mode on Windows prior to proceed to this installation, then reboot. bcdedit.exe -set TESTSIGNING ON\nbcdedit.exe -set nointegritychecks on Beware: in this case, activation of test mode and a reboot is needed before anyway. Once installed, you should be able to run scaphandre from Powershell, by running : & 'C:\\Program Files (x86)\\scaphandre\\scaphandre.exe' stdout","breadcrumbs":"Installation on Windows » Using the installer","id":"7","title":"Using the installer"},"70":{"body":"Scaphandre intends to provide multiple ways to gather power consumption metrics and make understanding tech services footprint possible in many situations. Depending on how you use scaphandre, you may have some restrictions. To summarize, scaphandre should provide two ways to estimate the power consumption of a service, process or machine. Either by measuring it , using software interfaces that give access to hardware metrics, or by estimating it if measuring is not an option (this is a planned feature , not yet implemented as those lines are written, in december 2020). In scaphandre, the code responsible to collect the power consumption data before any further processing is grouped in components called sensors . If you want more details about scaphandre structure, here are the explanations . On GNU/Linux PowercapRAPL sensor enables you to measure the power consumption, but it doesn't work in all contexts. On Windows, the MsrRAPL sensor , coupled with the driver responsible to read RAPL MSR's enables you to do (almost) the same. Sensor Intel x86 bare metal AMD x86 bare metal ARM bare metal Virtual Machine Public cloud instance Container PowercapRAPL (GNU/Linux only) Yes Yes ⚠️ kernel > 5.11 required We don't know yet Yes, if on a qemu/KVM hypervisor that runs scaphandre and the Qemu exporter No, until your cloud provider uses scaphandre on its hypervisors Depends on what you want MsrRAPL (Windows only) Yes Probable yes (not tested yet, if you have windows operated AMD gear, please consider contributing No Not yet, depends on improvements on the MsrRAPL sensors and overall windows/hypervisors support in Scaphandre No, until your cloud provider uses scaphandre on its hypervisors Might work, not tested yet. If you want to join us in this journey, please consider contributing Future estimation based sensor Future Yes Future Yes Future Yes Future Yes Future Yes Future Yes","breadcrumbs":"Compatibility » Compatibility","id":"70","title":"Compatibility"},"71":{"body":"Sensors including \"RAPL\" in their name rely on RAPL . The pts and pln feature flags (\"Intel Package Thermal Status\" and \"Intel Power Limit Notification\" respectively) seem to indicate that RAPL is supported on a CPU. On GNU/Linux, you could be sure of their presence, if this command succeds and matches : egrep \"(pts|pln)\" /proc/cpuinfo","breadcrumbs":"Compatibility » Checking RAPL is available on your CPU","id":"71","title":"Checking RAPL is available on your CPU"},"72":{"body":"I get a permission denied error when I run scaphandre, no matter what is the exporter Since Linux kernel 5.10 (late 2020), the energy counters files that the PowercapRAPL sensor uses, are owned by root. To ensure this is your issue and fix that quickly you can run the init.sh script: bash init.sh Then run scaphandre. If it does not work, the issue is somewhere else. I get a no such device error, the intel_rapl of intel_rapl_common kernel modules are present It can mean that your cpu doesn't support RAPL. Please refer to the compatibility section to be sure. I can't mount the required kernel modules, getting a Could'nt find XXX modules error If you are in a situation comparable to this one , you may need to install additional packages. On ubuntu 20.01 and 20.10, try to install linux-modules-extra-$(uname -r) with apt. Then you should be able to modprobe intel_rapl_common. On an AMD cpu machine, I get the following stracktrace scaphandre::sensors::powercap_rapl: Couldn't find intel_rapl modules.\nthread 'main' panicked at 'Trick: if you are running on a vm, do not forget to use --vm parameter invoking scaphandre at the command line', src/sensors/mod.rs:238:18\nstack backtrace: 0: rust_begin_unwind at /build/rust/src/rustc-1.49.0-src/library/std/src/panicking.rs:495:5 1: core::panicking::panic_fmt at /build/rust/src/rustc-1.49.0-src/library/core/src/panicking.rs:92:14 2: core::option::expect_failed at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:1260:5 3: core::option::Option::expect at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:349:21 4: scaphandre::sensors::Topology::add_cpu_cores at ./src/sensors/mod.rs:234:26 5: ::generate_topology at ./src/sensors/powercap_rapl.rs:106:9 6: ::get_topology at ./src/sensors/powercap_rapl.rs:112:24 7: scaphandre::exporters::stdout::StdoutExporter::new at ./src/exporters/stdout.rs:51:30 8: scaphandre::run at ./src/lib.rs:60:28 9: scaphandre::main at ./src/main.rs:91:5 10: core::ops::function::FnOnce::call_once at /build/rust/src/rustc-1.49.0-src/library/core/src/ops/function.rs:227:5\nnote: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace. We verified that scaphandre (and especially the powercap_rapl sensor) works on AMD Zen processors with a Linux kernel 5.11 or later . Before that kernel version, it won't probably work as the drivers needed to feed powercap with rapl data are not present. Trying to build the project I get this error error: linker `cc` not found | = note: No such file or directory (os error 2) error: aborting due to previous error error: could not compile `log` You need compiling tooling. On Ubuntu/Debian, run: sudo apt install build-essential","breadcrumbs":"Troubleshooting » Troubleshooting","id":"72","title":"Troubleshooting"},"73":{"body":"If you are reading this, you may be to contribute. Just for that, a big thank you ! 👏 Feel free to propose pull requests, or open new discussions or issues at will. Scaphandre is a collaborative project and all opinions and propositions shall be heard and studied. The contributions will be received with kindness, gratitude and with an open mind. Remember that we are all dwarfs standing on the shoulders of giants . We all have to learn from others and to give back, with due mutual respect. Code of conduct This project adheres to the Rust Code of Conduct, which can be found here . Ways to contribute Contributions may take multiple forms: 💻 code , of course, but not only (there is a lot more !) 📖 documentation : here is a guide to edit and build the documentation 🎤 Any help on communication : writing blog posts, speaking about scaphandre in conferences, speaking and writing about the responsibility of tech to be sustainable as well ! 🧬 structuring the project and the community is also a very important topic. Feel free to propose help, or start discussions about that. This project intends to unite a lot of people to have a lot of positive impact. Any action going helping us to get there will be very much appreciated ! 🎉 Contact Discussions and questions about the project are welcome on gitter or by email . Contribution guidelines This project intends to use conventional commit messages and the gitflow workflow. Please open your pull requests on the dev branch :) Scaphandre is a not only a tool, but a framework. Modules dedicated to collect energy consumption data from the host are called Sensors . Modules that are dedicated to send this data to a given channel or remote system are called Exporters . New Sensors and Exporters are going to be created and all contributions are welcome. For more on the internal structure please jump here . Edit and build the documentation Documentation source files are in docs_src, edit the content there and propose pull-requests on the scaphandre repository as if it was a code pull-request. Here is how to build and publish the documentation after a change. First download mdbook , the static site generator we use for the documentation website : cargo install mdbook Then fork the scaphandre-documentation repository and clone the resulting repository locally. Place the resulting documentation folder next to scaphandre's folder. Then run the build: cd scaphandre && mdbook build You should then have the result in scaphandre-documentation/docs. Commit, push and propose a PR to publish the changes. You can also serve the current content locally to see your changes before commit: mdbook serve","breadcrumbs":"Contributing guide » Contributing guide","id":"73","title":"Contributing guide"},"74":{"body":"/proc/stat explained Gathering CPU utilization from /proc/stat proc filesystem documentation CPU usage on Linux Using RAPL to read PP0 and DRAM energy on Haswell RAPL reference How to measure linux performance avoiding most typical mistakes: CPU How to calculate cpu utilization","breadcrumbs":"External references you may be interested in » Additional references for documentation","id":"74","title":"Additional references for documentation"},"75":{"body":"arch/x86/events/intel/rapl.c drivers/powercap","breadcrumbs":"External references you may be interested in » Powercap/RAPL source code in the kernel","id":"75","title":"Powercap/RAPL source code in the kernel"},"76":{"body":"PSI Linux PSI by example PSI - Pressure Stall Information How to measure linux performance avoiding most typical mistakes: memory","breadcrumbs":"External references you may be interested in » Topics to investigate","id":"76","title":"Topics to investigate"},"8":{"body":"An error such as scaphandre::sensors::msr_rapl: Failed to open device : HANDLE(-1) means that the driver is not properly setup. Check it's state by running: driverquery /v | findstr capha If there is not item returned, the installation of the driver encountered an issue. If the service is STOPPED, there is also something wrong.","breadcrumbs":"Installation on Windows » Troubleshooting","id":"8","title":"Troubleshooting"},"9":{"body":"If you look for compiling Scaphandre and its driver yourself, see Compilation for Windows","breadcrumbs":"Installation on Windows » 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on Scaphandre documentation. Scaphandre is a monitoring agent , dedicated to energy consumption metrics. Its purpose is to help measuring and thus understanding tech services energy consumption patterns. This is key, in our opinion, to enable the tech industry to shift towards more sustainability. 💚 If at this point you think \"why bother ?\", or if you want more details about this project's motivations, please have a look at the why section. If not and you want to proceed, just directly jump to the tutorials section. If you need more in-depth, use-case oriented instructions, the how-to guides are here for you. Explanations is about theoretical concepts behind scaphandre and the reasons for the technical choices that have been made so far. If you are already using, hacking or exploring scaphandre and need precise informations about one of its components, go to the references section. (The code documentation itself is here ).","breadcrumbs":"Introduction » Introduction","id":"0","title":"Introduction"},"1":{"body":"To install Scaphandre, depending on your platform, see: Installation on GNU/Linux section. Installation on Windows section. If you want to contribute or just play with the code and need to compile Scaphandre, see : Compilation on GNU/Linux . Compilation on Windows . Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common first: modprobe intel_rapl_common # or intel_rapl for kernels < 5 To quickly run scaphandre in your terminal you may use docker : docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15 Or if you downloaded or built a binary, you'd run: scaphandre stdout -t 15","breadcrumbs":"Getting Started » Getting started","id":"1","title":"Getting started"},"10":{"body":"If you'd like to try scaphandre and see the data in a decent visualization tool, there is a docker-compose in the repository to install scaphandre along side with prometheus and grafana . Once you have cloned the repository, just move to the docker-compose folder and run the stack: cd docker-compose\ndocker-compose up -d Be warned: the sample stack runs scaphandre as a privileged container. Otherwise apparmor or equivalents might complain about ptrace calls on the host. See #135 . Grafana will be available at http://localhost:3000, the default username is admin and the password is secret. Refresh the dashboard after 30s or enable auto-refresh and you should see the data filling the graphs. The process_filter textbox on the top of the graph allows you to look at the power consumption of a single application or service. Type the name of the program you want to look at and press enter. In the Filtered process (process_filter) power, by exe graph, on the 3rd line, you should now see the power cosumption of the given program. To remove the stack just run this command in the same folder: docker-compose down","breadcrumbs":"Docker-compose » Run a complete stack with docker-compose","id":"10","title":"Run a complete stack with docker-compose"},"11":{"body":"We recommand using this version of the rust toolchain or later: cargo --version\ncargo 1.48.0 (65cbdd2dc 2020-10-14)\nrustc --version\nrustc 1.48.0 (7eac88abb 2020-11-16) To be sure to be up to date, you may install rust from the official website instead of your package manager. To hack scaph , or simply be up to date with latest developments, you can download scaphandre from the main branch: git clone https://github.com/hubblo-org/scaphandre.git\ncd scaphandre\ncargo build # binary path is target/debug/scaphandre To use the latest code for a true use case, build for release instead of debug: cargo build --release Binary path is target/release/scaphandre.","breadcrumbs":"Compilation for GNU/Linux » Compile scaphandre from source (GNU/Linux)","id":"11","title":"Compile scaphandre from source (GNU/Linux)"},"12":{"body":"Scaphandre, on Windows, needs a kernel driver to get the same metrics as it does with powercap on GNU/Linux. This driver is available on this repository . Please refer to this project to get either pre-compiled binaries (available soon) or to follow the compilation procedure. Scaphandre's dependencies on Windows and GNU/Linux Once you have a working driver, you can compile Scaphandre, with the Rust for Windows usual toolkit. For now, all Scaphandre features are not supported on windows. Use the following command line to build the binary : cargo build --no-default-features --features \"prometheus json riemann\" Don't forget to add the --release flag to build a binary suited for more than test and debug usecases.","breadcrumbs":"Compilation for Windows » Compilation for Windows (experimental)","id":"12","title":"Compilation for Windows (experimental)"},"13":{"body":"This tutorial uses Helm to install Scaphandre, Prometheus and Grafana.","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Kubernetes","id":"13","title":"Kubernetes"},"14":{"body":"First we install Scaphandre which runs as a daemon set which creates a pod on each node for collecting the metrics. The helm chart is not in a repo, it needs to be installed from the source code. git clone https://github.com/hubblo-org/scaphandre\ncd scaphandre\nhelm install scaphandre helm/scaphandre Parameters Service monitor parameters Name Description Value serviceMonitor.enabled Create ServiceMonitor Resource for scraping metrics using PrometheusOperator false serviceMonitor.namespace The namespace in which the ServiceMonitor will be created (if not set, default to namespace on which this chart is installed) \"\" serviceMonitor.interval The interval at which metrics should be scraped 1m Security Parameters Name Description Value securityContext.privileged Gives full host access, bypassing container isolation (can be needed to run on physical server) false securityContext.runAsUser Run as root user to get proper permissions 0 securityContext.runAsGroup Run as root group to get proper permissions 0","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Install Scaphandre","id":"14","title":"Install Scaphandre"},"15":{"body":"Next we will install Prometheus which will scrape the metrics generated by Scaphandre. helm repo add prometheus-community https://prometheus-community.github.io/helm-charts\nhelm repo add kube-state-metrics https://kubernetes.github.io/kube-state-metrics\nhelm repo update helm install prometheus prometheus-community/prometheus \\\n--set alertmanager.persistentVolume.enabled=false \\\n--set server.persistentVolume.enabled=false This setup should only be used for testing as the Prometheus data is not persisted if the pods are deleted. You can access the Prometheus web UI by creating a port forwarding connection. kubectl port-forward deploy/prometheus-server 9090:9090","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Install Prometheus","id":"15","title":"Install Prometheus"},"16":{"body":"Create a configmap to store the Grafana dashboard. kubectl create configmap scaphandre-dashboard \\ --from-file=scaphandre-dashboard.json=docs_src/tutorials/grafana-kubernetes-dashboard.json Install Grafana. helm repo add grafana https://grafana.github.io/helm-charts\nhelm repo update helm install grafana grafana/grafana --values docs_src/tutorials/grafana-helm-values.yaml Get the Grafana web UI password which is randomly generated. kubectl get secret grafana -o jsonpath=\"{.data.admin-password}\" | base64 --decode Create a port forwarding connection to the Grafana pod. kubectl port-forward deploy/grafana 3000:3000 Open Grafana in your browser at http://localhost:3000 the username is admin.","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Install Grafana","id":"16","title":"Install Grafana"},"17":{"body":"Deleting the Helm releases will remove all the resources we created. helm delete grafana prometheus scaphandre","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Cleaning up","id":"17","title":"Cleaning up"},"18":{"body":"","breadcrumbs":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) » Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM)","id":"18","title":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM)"},"19":{"body":"A major pain point in measuring power consumption is doing so inside a virtual machine. A virtual machine usually doesn't have access to power metrics. Scaphandre aims at solving that by enabling a communication between a scaphandre instance on the hypervisor/bare metal machine and another one running on the virtual machine . The scaphandre agent on the hypervisor will compute the metrics meaningful for that virtual machine and the one on the VM access those metrics to allow its user/administrator to use the data as if they had access to power metrics in the first place (as if they were on a bare metal machine). This allows to break opacity in a virtualization context, if you have access to the hypervisor, or in a public cloud context if the provider uses scaphandre on its hypervisors.","breadcrumbs":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) » Introduction","id":"19","title":"Introduction"},"2":{"body":"Running scaphandre with podman on a distribution using SELinux may fail because of access denied to /proc files. To make it work you should run scaphandre in privileged mode : podman run --privileged ... You'll find explanation of this requirement here : #106 .","breadcrumbs":"Getting Started » Running scaphandre on Fedora / CentOS Stream / RHEL (or any distribution using SELinux) with podman","id":"2","title":"Running scaphandre on Fedora / CentOS Stream / RHEL (or any distribution using SELinux) with podman"},"20":{"body":"This is working on Qemu/KVM hypervisors only. The idea is to run the agent on the hypervisor, with the qemu exporter : scaphandre qemu More examples for a production ready setup will be added soon (systemd service, docker container, ...). If you think the documentation needs a refresh now, please contribute :) For each virtual machine you want to give access to its metrics, create a tmpfs mountpoint: mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=5m In the definition of the virtual machine (here we are using libvirt), ensure you have a filesystem configuration to give access to the mountpoint: virsh edit DOMAIN_NAME Then add this filesystem configuration block inside the block: \n Save and (re)start the virtual machine. If you get this error: \"error: unsupported configuration: 'virtiofs' requires shared memory\", you might add this configuration section to the section. \n Then connect to the virtual machine and mount the filesystem: mount -t 9p -o trans=virtio scaphandre /var/scaphandre You can now run scaphandre to export the metrics with the exporter of your choice (here prometheus): scaphandre --vm prometheus Please refer to the qemu exporter reference for more details. Note: This how to is only suitable for a \"manual\" use case. For all automated systems like openstack or proxmox, some more work needs to be done to make the integration of those steps easier.","breadcrumbs":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) » How to","id":"20","title":"How to"},"21":{"body":"Now we'll see how to get valuable data in a dashboard. Let's say you want to track the power consumption of a given process or application in a dashboard and eventually set thresholds on it. WHat do you need to get that subset of the power consumption of the host visually ? You need basically 3 components for that: scaphandre running with the prometheus exporter prometheus grafana We'll say that you already have a running prometheus server and an available grafana instance and that you have added prometheus as a datasource in grafana. How to get metrics per process as you may see here ? The metric that I need from the prometheus exporter to do that is: scaph_process_power_consumption_microwatts. This metric is a wallet for the power consumption of all the running processes on the host at a given time. This is a prometheus metrics, so you have labels to filter on the processes you are interested in. Currently the available labels are: instance, exe, job and pid. If I want to get power consumption (in Watts) for all processes related to nginx running on a host with ip 10.0.0.9 I may use that query, in grafana, based on the prometheus datasource: scaph_process_power_consumption_microwatts{cmdline=~\".*nginx.*\", instance=\"10.0.0.9:8080\"} / 1000000 Here we assume that scaphandre/the prometheus exporter is running on port number 8080. Here is how it looks, creating a panel in grafana: Those labels are explained in much more detail here .","breadcrumbs":"Get process-level power consumption in my grafana dashboard » Get process-level power consumption in my grafana dashboard","id":"21","title":"Get process-level power consumption in my grafana dashboard"},"22":{"body":"","breadcrumbs":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 » Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9","id":"22","title":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9"},"23":{"body":"Scaphandre can be compiled with a limited set of features. You have the choice to only install Scaphandre with prometheus-push exporter (alongside with stdout and json exporters, which might be useful locally). RPM packages containing only those features are provided for RHEL 8 and 9 : RPM package for RHEL8 RPM package for RHEL9 You can download it and install it just providing the right URL to dnf : dnf install -y URL Then you'll probably need to change its configuration to target the appropriate Push Gateway server. Edit the configuration file : vi /etc/scaphandre/prometheuspush Default options look like : SCAPHANDRE_ARGS=\"prometheus-push -H localhost -S http\" Those are prometheus-push exporter CLI options. Run the executable to get the reference of the options : /usr/bin/scaphandre-prometheuspush --help A simple configuration to target Push Gateway reachable on https://myserver.mydomain:PORT and send data every 30 seconds would look like : SCAPHANDRE_ARGS=\"prometheus-push -H myserver.mydomain -S https -p PORT -s 30\" Once the configuration is changed, you can restart the service and ensure it is enabled as well for next reboot : systemctl restart scaphandre-prometheuspush && systemctl enable scaphandre-prometheuspush Configuration issues or issues to reach the push gateway should be visible in the logs : systemctl status scaphandre-prometheuspush","breadcrumbs":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 » Manual installation","id":"23","title":"Manual installation"},"24":{"body":"There is a sample Ansible playbook available in the automation/ansible folder of the project. This can be used this way : ansible-playbook -i inventory -b -u myunprivilegeduser -K install-configure-prometheuspush-rhel.yml Beware of the playbook parameters : rhel_version: 9\nscaphandre_version: \"dev0.5.10\"\npushgateway_host: localhost\npushgateway_scheme: http\npushgateway_port: 9092\nscaphandre_config_path: /etc/scaphandre/prometheuspush\nservice_name: scaphandre-prometheuspush Ensure to change those to match your context, including changing rhel version if needed (8 and 9 are supported) and parameters to reach the Push Gateway on the network.","breadcrumbs":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 » Automatic installation with ansible","id":"24","title":"Automatic installation with ansible"},"25":{"body":"This is true starting from Scaphandre >= 1.0. There are several metrics available at the host level in Scaphandre: scaph_host_power_microwatts : always returned, computed from Record structs made from scaph_host_energy_microjoules metric scaph_host_energy_microjoules : always returned, either one value or a sum of values coming directly from RAPL counters (energy_uj files or direct read from an MSR) scaph_host_rapl_psys_microjoules : is available only when the PSYS RAPL domain is available on the machine. In addition to those metrics, you might want to build, on your time series database, the sum of process_ metrics to have a view of the weight of all processes on the host power. Using Prometheus, it would look like: sum(scaph_process_power_consumption_microwatts{hostname=\"$hostname\"}) / 1000000, to get it in Watts. Let's explain the relationship between those metrics, and what you could expect. host_power metric will return : If PSYS domain is available, a computed power coming from PSYS energy records If not, a computed power which is the sum of per-socket power (PKG RAPL domain) + DRAM RAPL domain power Briefly explained (see RAPL domains for detailled explanations), PSYS covers most components on the machine (\"all components connected to the SoC / motherboard\" according to most documentations), so we return this wider ranged metric when available. If not we use a combination of PKG domain, that includes CPU and integrated GPU power, and DRAM domain, that includes memory power. The first options gives higher figures than the second, for now. Suming the power of all processes, if the machine is mostly IDLE, you'll get a tiny percentage of the host machine, most likely. The difference between host power and the sum of processes power can be accounted as \"power due to IDLE activity\", in other words the power your machine demands for \"doing nothing\". The higher this difference on a long period of time (better seen as a graph), the higher chance that there is room for improvement in moving the workloads to another machine and shut the current machine down (and make it available for another project or to another organization to prevent from buying a new machine). Warning: that being said, the way per-process power is computed is still biased and shall be improved in the following versions of Scaphandre. For now, the main key for allocation is CPU time. As host level power metrics include power usage of more and more components on the machine (work in progress) this allocation key will be more and more inaccurate. Future versions of this allocation model should include keys regarding the activity of other components than CPU. Enabling a better set of allocation keys for per-process power is part of the roadmap .","breadcrumbs":"Explanations about host level power and energy metrics » Explanations about host level power and energy metrics.","id":"25","title":"Explanations about host level power and energy metrics."},"26":{"body":"Scaphandre is a tool that makes it possible to see the power being used by a single process on a computer. This sounds like a simple thing thing to be able to do, but in practice a number of details can make this more complex. So having a good mental model of how it works will make it easier to understand when and how to use Scaphandre. Let's start with a simplified mental model below, before moving on to multiple processors or virtual machines - but once you understand the key ideas outlined below, it's easier to see how they can be applied to thinking about tracking power on virtual machines, or when multiple processors are available. How a computer works on multiple jobs at the same time When we first think about how much energy a single process running in a computer might use, we might start with a mental model that looks like the figure below, with large, uninterrupted chunks of compute time allocated to each process. This is easy to understand, and it matches how we might be billed for a share of a larger machine when paying for cloud services. what scaphandre does - per process power usage Timesharing of work However, if the reality was exactly like this diagram, our computers would only ever be able to do one thing at a time. It's more accurate and helpful to think of computers working on lots of different jobs at the same time - they work on one job for short interval of time, then another, and another and so one. You'll often see these small intervals of time referred to as jiffies . work on jobs is split into jiffies In a given amount of time, some jobs that are prioritized or more resource intensive will use more jiffies than others. Fortunately, each job keeps a running total of the total jiffies allocated to it, so if we know how many jiffies have been used in total, it can give us an idea how much of a machine's resources are being used by a given process. work on jobs is split into jiffies Going from share of resources to actual power figures It's possible without Scaphandre to understand how large a share of a machines' resources are being used by a given process. This is useful, by itself, but if we want to understand how much power is used per process, not just the share of the machine's resources, we need to know how much power is being used by the machine in absolute terms. To do this, we need a sensor of some kind to track power usage by the machine itself. Some servers have these, like with Intel's RAPL sensors, which we cover this in more detail later on. This makes it possible to understand how much power is being used by CPUs, GPUs and so on, in terms of watts, or, if we are looking at just a single process, various fractions of a watt. Sensors provide power over time To understand the power used by a single process we combine both of these ideas. We count the jiffies used by our job when it's being worked on, and for each jiffy, we check how much power is being drawn at those moments in time. Combined we can see how much the power during 'our' jiffies Finally, when we group together all the power readings for all our jiffies over a given time period, we can arrive at a usable figure for how much power has been used, in terms of watt hours. Once we have a figure in terms of watt hours, there are various ways we can convert this to environmental impact. A common way is to use an emission factor for the electricity used, to turn the power consumption data into an estimate of associated carbon emissions. Combined we can see how much the power during 'our' jiffies Working with virtualisation and multiple processors While the reality is again more complicated than the diagram below, the same ideas broadly apply when you introduce multiple processors too. If you are able to read from sensors that can share how much power is being used by the various processors at work, and know how much of the time is being allocated to our processes during those moments, you can get a good idea of what these figures are, at a per-process level. Seeing this with multiple processors Things get a bit more complicated with virtualised environments, because in many cases, virtual machines only have a partial view of the system they are part of, and frequently do not have access to any power usage figures from the host physical machine. However, if a guest virtual machine or guest container does have access to readings provided by the host physical machine, it is possible to work out the same kinds of per-process power figures. Scaphandre supports exposing these kinds of power readings to virtual machines and containers, which means, if you are running on infrastructure that is running scaphandre and exposing these readings, you can see these figures for the energy used by your own processes.","breadcrumbs":"How scaphandre computes per process power consumption » How scaphandre computes per process power consumption","id":"26","title":"How scaphandre computes per process power consumption"},"27":{"body":"As you can see with the prometheus exporter reference , scaphandre exporters can provide process level power consumption metrics. This section will explain how it is done and how it may be improved in the future.","breadcrumbs":"How scaphandre computes per process power consumption » More details about how Scaphandre works","id":"27","title":"More details about how Scaphandre works"},"28":{"body":"We'll talk here about the case where scaphandre is able to effectively measure the power consumption of the host (see compatibility section for more on sensors and their prerequisites) and specifically about the PowercapRAPL sensor. Let's clarify what's happening when you collect metrics with scaphandre and the RAPL sensor. RAPL stands for Running Average Power Limit . It's a technology embedded in most Intel and AMD x86 CPUs produced after 2012. Thanks to this technology it is possible to get the total energy consumption of the CPU, of the consumption per CPU socket, plus in some cases, the consumption of the DRAM controller. In most cases it represents the vast majority of the energy consumption of the machine (except when running GPU intensive workloads, for example). Further improvements shall be made in scaphandre to fully measure the consumption when GPU are involved (or a lot of hard drives on the same host...). Between scaphandre and this data is the powercap kernel module that writes the energy consumption to files. Scaphandre reads those files, stores the data in buffers and then allows for more processing through the exporters. How to get the consumption of one process ? The PowercapRAPL sensor does actually more than just collecting those energy consumption metrics (and converting them to power consumption metrics). Every time the exporter asks for a measurement (either periodically like in the Stdout exporter, or every time a request comes as would be the case for the Prometheus exporter) the sensor reads the values of the energy counters from powercap. It then stores those values, and does the same for the CPU usage statistics of the CPU (the one you can see in /proc/stats) and for each running process on the machine at that time (see /proc/PID/stats). With this data it is possible to compute the ratio of CPU time actively spent for a given PID on the CPU time actively spent doing something. With this ratio we can then get the subset of power consumption that is related to that PID on a given timeframe (between two measurement requests). How to get the consumption of an application/a service ? Services and programs are often not running on only one PID. It's needed to aggregate the consumption of all related PIDs to know what this service is actually consuming. To do that, in the current state of scaphandre development, you can use the Prometheus exporter, and then use Prometheus and its query language capabilities. You'll find examples looking at the graphs and queries here . In a near future, more advanced features may be implemented in scaphandre to allow such classification even if you don't have access to a proper Time Series database (TSDB) .","breadcrumbs":"How scaphandre computes per process power consumption » Some details about RAPL","id":"28","title":"Some details about RAPL"},"29":{"body":"Scaphandre is designed to be extensible. As it performs basically two tasks: collecting /pre-computing the power consumption metrics and publishing it, it is composed of two main components: a sensor and an exporter . Each can be implemented in different ways to match a certain use case. When you run scaphandre from the command line, -s allows you to choose the sensor you want to use, and the next subcommand is the name of the exporter.","breadcrumbs":"Internal structure » Internal structure","id":"29","title":"Internal structure"},"3":{"body":"Here we are using the stdout exporter to print current power consumption usage in the terminal during 15 seconds. You should get an output like: Host:\t9.391334 W\tCore Uncore DRAM\nSocket0\t9.392 W\t1.497082 W\nTop 5 consumers:\nPower\tPID\tExe\n4.808363 W\t642\t\"/usr/sbin/dockerd\"\n4.808363 W\t703\t\"/usr/bin/docker-containerd\"\n4.808363 W\t1028\t\"/usr/local/bin/redis-server\"\n0 W\t1\t\"/usr/lib/systemd/systemd\"\n0 W\t2\t\"\"\n------------------------------------------------------------ Let's briefly describe what you see here. First Line is the power consumption of the machine (between the two last measurements). Second line is the power consumption of the first CPU socket plus the detail by RAPL Domain. If you have more than one CPU Socket, you'll have multiple SocketX lines. Then you have the 5 processes consuming the most power during the last two measurements. If you don't get this output and get an error, jump to the Troubleshooting section of the documentation.","breadcrumbs":"Getting Started » Output","id":"3","title":"Output"},"30":{"body":"Sensors are meant to: get the power consumptions metrics of the host make it available for the exporter The PowercapRAPL for instance, gets and transforms metrics coming from the powercap Linux kernel module, that serves as an interface to get the data from the RAPL feature of x86 CPUs. Because this feature is only accessible when you are running on a bare metal machine, this sensor will not work in a virtual machine, except if you first run scaphandre on the hypervisor and make the VM metrics available, with the qemu exporter , to scaphandre running inside the virtual machine. When you don't have access to the hypervisor/bare-metal machine (ie. when you run on public cloud instances and your provider doesn't run scaphandre) you still have the option to estimate the power consumption, based on both the ressources (cpu/gpu/ram/io...) consumed by the virtual machine at a given time, and the characteristics of the underlying hardware. This is the way we are designing the future estimation-based sensor , to match that use case. Looking at the code, you'll find that the interface between metrics and the exporters is in fact the Topology object. This is intended to be asked by the exporter through the get_topology method of the sensor.","breadcrumbs":"Internal structure » Sensors","id":"30","title":"Sensors"},"31":{"body":"An exporter is expected to: ask the sensors to get new metrics and store them for later, potential usage export the current metrics The Stdout exporter exposes the metrics on the standard output (in your terminal). The prometheus exporter exposes the metrics on an HTTP endpoint, to be scraped by a prometheus instance. An exporter should be created for each monitoring scenario (do you want to feed your favorite monitoring/data analysis tool with scaphandre metrics ? feel free to open a PR to create a new exporter !). As introduced in the sensors section, the Qemu exporter, is very specific. It is only intended to collect metrics related to running virtual machines on a Qemu/KVM hypervisor. Those metrics can then be made available to each virtual machine and their own scaphandre instance, running the PowercapRAPL sensor (with the --vm flag on). The qemu exporter puts VM's metrics in files the same way the powercap kernel module does it. It mimics this behavior, so the sensor can act the same way it would on a bare metal machine.","breadcrumbs":"Internal structure » Exporters","id":"31","title":"Exporters"},"32":{"body":"There are several ways scaphandre can interact with containers. You may run scaphandre in a container , to not have to manage the dependencies, then measure the power consumption of the bare metal host . This is described in the quickstart tutorial . Note that you need to expose /sys/class/powercap and /proc as volumes in the container to allow scaphandre to get the relevant metrics from the bare metal host. Scaphandre may help you measure the power consumption of containers running on a given host. You can already get to that goal using the tips provided in the howto section called \"Get process level power consumption\" . It may still require some tweaking and inventiveness from you in making the approriate queries to your favorite TSDB. This should be made easier by the upcoming scaphandre features . Another use case scenario is measuring the power consumption of a container orchestrator (like kubernetes ), its nodes and the containers and applications running on it. Scaphandre can be installed on Kubernetes via the Helm chart and there is a tutorial for installing it along with Prometheus and Grafana to view the metrics. As described here , scaphandre provides several ways ( sensors ) to collect the power consumption metrics. Depending on your use case a sensor should be more suitable than the other. Each of them comes with strengths and weaknesses. This is basically always a tradeoff between precision and simplicity. This is especially true if you run a container-based workloads on public cloud instances. We are working to provide a solution for that as well .","breadcrumbs":"About containers » About containers","id":"32","title":"About containers"},"33":{"body":"RAPL stands for \"Running Average Power Limit\", it is a feature on Intel/AMD x86 CPU's (manufactured after 2012) that allows to set limits on power used by the CPU and other components. This feature also allows to just get \"measurements\" (mind the double quotes, as at least part of the numbers RAPL gives are coming from estimations/modeling) of components power usage. RAPL domains It is composed of \"domains\", that, in 2023, may include: Core/PP0 : Energy consumed by the CPU Cores themselves. Uncore/PP1 : Energy consumed by components close to the CPU : most of the time it means the embedded GPU chipset. Dram : Energy consumed by the memory/RAM sticks Package/PKG : Includes \"Core\" and \"Uncore\". In some documentations and in some of our experiments it seem to include \"Dram\", but this doesn't seem true in every cases. PSys : We don't have a clear understanding on this one (yet). But most documentations refer to it with words similar to \"PSys: (introduced with Intel Skylake) monitors and controls the thermal and power specifications of the entire SoC and it is useful especially when the source of the power consumption is neither the CPU nor the GPU. For multi-socket server systems, each socket reports its own RAPL values.\". To summarize, Psys seems like an interesting metric to get energy consumed by a motherboard and connected components (which includes RAPL usual suspects but also WiFi/Bluetooth cards and probably more). If you want to know more about this metric, we gathered references/sources here . If you want to help us understanding and documenting better this metric, please consider constributing to the Energizta project . RAPL documentation from Intel doesn't necessarily give very precise informations about how RAPL behaves depending on the platform, or about what is included in the calculation. Actively looking for other experimentations/feedbacks/documentations is needed. You might find some informations gathered here: awesome-energy . If you have more or more precise informations and are willing to contribute, don't hesitate to open a PR to dev branch on scaphandre's repository (targeting docs_src folder ) and/or the awesome-energy repository. If you want to know if RAPL is supported by your CPU, please have a look to the end of the Compatibility section.","breadcrumbs":"About RAPL domains » Explanation on RAPL / Running Average Power Limit domains: what we (think we) know so far","id":"33","title":"Explanation on RAPL / Running Average Power Limit domains: what we (think we) know so far"},"34":{"body":"With Stdout exporter, you can see all metrics available on your machine with flag --raw-metrics. With prometheus exporter, all metrics have a HELP section provided on /metrics (or whatever suffix you choosed to expose them). Here are some key metrics that you will most probably be interested in: scaph_host_power_microwatts: Aggregation of several measurements to give a try on the power usage of the the whole host, in microwatts (GAUGE). It might be the same as RAPL PSYS (see RAPL domains ) measurement if available, or a combination of RAPL PKG and DRAM domains + an estimation of other hardware componentes power usage. scaph_process_power_consumption_microwatts{exe=\"$PROCESS_EXE\",pid=\"$PROCESS_PID\",cmdline=\"path/to/exe --and-maybe-options\"}: Power consumption due to the process, measured on at the topology level, in microwatts. PROCESS_EXE being the name of the executable and PROCESS_PID being the pid of the process. (GAUGE) For more details on that metric labels, see this section . And some more deep metrics that you may want if you need to make more complex calculations and data processing: scaph_host_energy_microjoules : Energy measurement for the whole host, as extracted from the sensor, in microjoules. (COUNTER) scaph_socket_power_microwatts{socket_id=\"$SOCKET_ID\"}: Power measurement relative to a CPU socket, in microwatts. SOCKET_ID being the socket numerical id (GAUGE) If your machine provides RAPL PSYS domain (see RAPL domains ), you can get the raw energy counter for PSYS/platform with scaph_host_rapl_psys_microjoules. Note that scaph_host_power_microwatts is based on this PSYS counter if it is available. Since 1.0.0 the following host metrics are availalable as well ; scaph_host_swap_total_bytes: Total swap space on the host, in bytes. scaph_host_swap_free_bytes: Swap space free to be used on the host, in bytes. scaph_host_memory_free_bytes: Random Access Memory free to be used (not reused) on the host, in bytes. scaph_host_memory_available_bytes: Random Access Memory available to be re-used on the host, in bytes. scaph_host_memory_total_bytes: Random Access Memory installed on the host, in bytes. scaph_host_disk_total_bytes: Total disk size, in bytes. scaph_host_disk_available_bytes: Available disk space, in bytes. Disk metrics have the following labels : disk_file_system, disk_is_removable, disk_type, disk_mount_point, disk_name scaph_host_cpu_frequency: Global frequency of all the cpus. In MegaHertz scaph_host_load_avg_fifteen: Load average on 15 minutes. scaph_host_load_avg_five: Load average on 5 minutes. scaph_host_load_avg_one: Load average on 1 minute. If you hack scaph or just want to investigate its behavior, you may be interested in some internal metrics: scaph_self_memory_bytes: Scaphandre memory usage, in bytes scaph_self_memory_virtual_bytes: Scaphandre virtual memory usage, in bytes scaph_self_topo_stats_nb: Number of CPUStat traces stored for the host scaph_self_topo_records_nb: Number of energy consumption Records stored for the host scaph_self_topo_procs_nb: Number of processes monitored by scaph scaph_self_socket_stats_nb{socket_id=\"SOCKET_ID\"}: Number of CPUStat traces stored for each socket scaph_self_socket_records_nb{socket_id=\"SOCKET_ID\"}: Number of energy consumption Records stored for each socket, with SOCKET_ID being the id of the socket measured scaph_self_domain_records_nb{socket_id=\"SOCKET_ID\",rapl_domain_name=\"RAPL_DOMAIN_NAME \"}: Number of energy consumption Records stored for a Domain, where SOCKET_ID identifies the socket and RAPL_DOMAIN_NAME identifies the rapl domain measured on that socket Getting per process data with scaph_process_* metrics Here are available labels for the scaph_process_power_consumption_microwatts metric that you may need to extract the data you need: exe: is the name of the executable that is the origin of that process. This is good to be used when your application is running one or only a few processes. cmdline: this contains the whole command line with the executable path and its parameters (concatenated). You can filter on this label by using prometheus =~ operator to match a regular expression pattern. This is very practical in many situations. instance: this is a prometheus generated label to enable you to filter the metrics by the originating host. This is very useful when you monitor distributed services, so that you can not only sum the metrics for the same service on the different hosts but also see what instance of that service is consuming the most, or notice differences beteween hosts that may not have the same hardware, and so on... pid: is the process id, which is useful if you want to track a specific process and have your eyes on what's happening on the host, but not so practical to use in a more general use case Since 1.0.0 the following per-process metrics are available as well : scaph_process_cpu_usage_percentage: CPU time consumed by the process, as a percentage of the capacity of all the CPU Cores scaph_process_memory_bytes: Physical RAM usage by the process, in bytes scaph_process_memory_virtual_bytes: Virtual RAM usage by the process, in bytes scaph_process_disk_total_write_bytes: Total data written on disk by the process, in bytes scaph_process_disk_write_bytes: Data written on disk by the process, in bytes scaph_process_disk_read_bytes: Data read on disk by the process, in bytes scaph_process_disk_total_read_bytes: Total data read on disk by the process, in bytes Get container-specific labels on scaph_process_* metrics The flag --containers enables Scaphandre to collect data about the running Docker containers or Kubernetes pods on the local machine. This way, it adds specific labels to make filtering processes power consumption metrics by their encapsulation in containers easier. Generic labels help to identify the container runtime and scheduler used (based on the content of /proc/PID/cgroup): container_scheduler: possible values are docker or kubernetes. If this label is not attached to the metric, it means that scaphandre didn't manage to identify the container scheduler based on cgroups data. Then the label container_runtime could be attached. The only possible value for now is containerd. container_id is the ID scaphandre got from /proc/PID/cgroup for that container. For Docker containers (if container_scheduler is set), available labels are : container_names: is a string containing names attached to that container, according to the docker daemon container_docker_version: version of the docker daemon container_label_maintainer: content of the maintainer field for this container For containers coming from a docker-compose file, there are a bunch of labels related to data coming from the docker daemon: container_label_com_docker_compose_project_working_dir container_label_com_docker_compose_container_number container_label_com_docker_compose_project_config_files container_label_com_docker_compose_version container_label_com_docker_compose_service container_label_com_docker_compose_oneoff For Kubernetes pods (if container_scheduler is set), available labels are : kubernetes_node_name: identifies the name of the kubernetes node scaphandre is running on kubernetes_pod_name: the name of the pod the container belongs to kubernetes_pod_namespace: the namespace of the pod the container belongs to","breadcrumbs":"Metrics available » Metrics exposed by Scaphandre","id":"34","title":"Metrics exposed by Scaphandre"},"35":{"body":"","breadcrumbs":"JSON exporter » JSON exporter","id":"35","title":"JSON exporter"},"36":{"body":"You can launch the JSON exporter this way (running the default powercap_rapl sensor): scaphandre json Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. Here is how to display metrics during one minute: scaphandre json -t 60 You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step: scaphandre json -t 60 -s 5 If you want a faster interval you can use option -n (for nano seconds). Here is how to display metrics during 10s with a 100ms step: scaphandre json -t 10 -s 0 -n 100000000 By default, JSON is printed in the terminal, to write result in a file you can provide a path with option -f: scaphandre json -t 10 -s 0 -n 100000000 -f report.json To get informations about processes that are running in containers, add --containers: scaphandre --no-header json --containers --max-top-consumers=15 | jq Since 1.0.0 you can filter the processes, either by their process name with --process-regex, or by the name of the container they run in with --container-regex (needs the flag --containers to be active as well). As always exporter's options can be displayed with -h: Write the metrics in the JSON format to a file or to stdout Usage: scaphandre json [OPTIONS] Options: -t, --timeout Maximum time spent measuring, in seconds. If unspecified, runs forever -s, --step Interval between two measurements, in seconds [default: 2] --step-nano Additional step duration in _nano_ seconds. This is added to `step` to get the final duration [default: 0] --max-top-consumers Maximum number of processes to watch [default: 10] -f, --file Destination file for the report (if absent, print the report to stdout) --containers Monitor and apply labels for processes running as containers --process-regex Filter processes based on regular expressions (example: 'scaph\\\\w\\\\w.e') --container-regex Filter containers based on regular expressions --resources Monitor and incude CPU, RAM and Disk usage per process -h, --help Print help Metrics provided Scaphandre are documented here .","breadcrumbs":"JSON exporter » Usage","id":"36","title":"Usage"},"37":{"body":"","breadcrumbs":"Prometheus exporter » Prometheus exporter","id":"37","title":"Prometheus exporter"},"38":{"body":"You can launch the prometheus exporter this way (running the default powercap_rapl sensor): scaphandre prometheus As always exporter's options can be displayed with -h: scaphandre prometheus -h scaphandre-prometheus Prometheus exporter exposes power consumption metrics on an http endpoint (/metrics is default) in prometheus accepted format USAGE: scaphandre prometheus [FLAGS] [OPTIONS] FLAGS: --containers Monitor and apply labels for processes running as containers -h, --help Prints help information -q, --qemu Instruct that scaphandre is running on an hypervisor -V, --version Prints version information OPTIONS: -a, --address
    ipv6 or ipv4 address to expose the service to [default: ::] -p, --port TCP port number to expose the service [default: 8080] -s, --suffix url suffix to access metrics [default: metrics] With default options values, the metrics are exposed on http://localhost:8080/metrics. Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. This will allow to easily create charts consumption for each vm and defined which one is the top contributor. Metrics provided Scaphandre are documented here .","breadcrumbs":"Prometheus exporter » Usage","id":"38","title":"Usage"},"39":{"body":"","breadcrumbs":"Prometheus-push exporter » PrometheusPush Exporter for Prometheus Push Gateway","id":"39","title":"PrometheusPush Exporter for Prometheus Push Gateway"},"4":{"body":"At that point, you're ready to use scaphandre. The Stdout exporter is very basic and other exporters should allow you to use and send those metrics the way you like. The prometheus exporter , for example, allows you to expose power consumption metrics as an HTTP endpoint that can be scrapped by a prometheus instance: docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -p 8080:8080 -ti hubblo/scaphandre prometheus Here is the same command with a simple binary: scaphandre prometheus To validate that the metrics are available, send an http request from another terminal: curl -s http://localhost:8080/metrics Here you can see examples of graphs you can get thanks to scaphandre, the prometheus exporter, prometheus and grafana .","breadcrumbs":"Getting Started » Going further","id":"4","title":"Going further"},"40":{"body":"You can launch the prometheus exporter this way: scaphandre prometheus-push As always exporter's options can be displayed with -h: scaphandre prometheus-push -h Push metrics to Prometheus Push Gateway Usage: scaphandre prometheus-push [OPTIONS] Options: -H, --host IP address (v4 or v6) of the metrics endpoint for Prometheus [default: localhost] -p, --port TCP port of the metrics endpoint for Prometheus [default: 9091] --suffix [default: metrics] -S, --scheme [default: http] -s, --step [default: 5] --qemu Apply labels to metrics of processes that look like a Qemu/KVM virtual machine --containers Apply labels to metrics of processes running as containers -j, --job Job name to apply as a label for pushed metrics [default: scaphandre] --no-tls-check Don't verify remote TLS certificate (works with --scheme=\"https\") -h, --help Print help With default options values, the metrics are sent to http://localhost:9091/metrics","breadcrumbs":"Prometheus-push exporter » Usage","id":"40","title":"Usage"},"41":{"body":"Metrics exposed are the same as the Prometheus (pull mode) exporter. Push gateway's grouping key for each host is in the form job/scaphandre/instance/${HOSTNAME} with HOSTNAME being the hostname of the host sending metrics.","breadcrumbs":"Prometheus-push exporter » Metrics exposed","id":"41","title":"Metrics exposed"},"42":{"body":"Computes energy consumption metrics for each Qemu/KVM virtual machine found on the host. Exposes those metrics as filetrees compatible with the powercap_rapl sensor . Note that this is still experimental. Metrics are already considered trustworthy, but there are discussions and tests to be performed about the acceptable ways to share the data with the guests/vms. Any feedback or thoughts about this are welcome. Please refer to the contributing section .","breadcrumbs":"Qemu exporter » Qemu exporter","id":"42","title":"Qemu exporter"},"43":{"body":"Run the scaphandre with the qemu exporter on your bare metal hypervisor machine: scaphandre qemu # this is suitable for a test, please run it as a systemd service for a production setup Default is to expose virtual machines metrics in /var/lib/libvirt/scaphandre/${DOMAIN_NAME} with DOMAIN_NAME being the libvirt domain name of the virtual machine. First create a tmpfs mount point to isolate metrics for that virtual machine: mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=10m Ensure you expose the content of this folder to the virtual machine by having this configuration in the xml configuration of the domain: You can edit the vm properties using sudo virsh edit using your usual editor. But it is more convenient to use virtual-manager, as explained in the following screenshots. It also helps to define the correct syntax which probably depends from the qemu version. You can check that the above configuration is slightly different form the one below . a. Right click in the hardware menu: virtualmgr00 b. Enter the following parameters: virtualmgr01 c. XML generated as a result: virtualmgr02 Ensure the VM has been started once the configuration is applied, then mount the filesystem on the VM/guest: mount -t 9p -o trans=virtio scaphandre /var/scaphandre Still in the guest, run scaphandre in VM mode with the default sensor: scaphandre --vm prometheus Collect your virtual machine specific power usage metrics. (requesting http://VM_IP:8080/metrics in this example, using the prometheus exporter)","breadcrumbs":"Qemu exporter » Usage","id":"43","title":"Usage"},"44":{"body":"riemann exporter","breadcrumbs":"Riemann exporter » Riemann exporter","id":"44","title":"Riemann exporter"},"45":{"body":"You can launch the Riemann exporter this way (running the default powercap_rapl sensor): scaphandre riemann As always exporter's options can be displayed with -h: Expose the metrics to a Riemann server Usage: scaphandre riemann [OPTIONS] Options: -a, --address
    Address of the Riemann server. If mTLS is used this must be the server's FQDN [default: localhost] -p, --port TCP port number of the Riemann server [default: 5555] -d, --dispatch-interval Duration between each metric dispatch, in seconds [default: 5] -q, --qemu Apply labels to metrics of processes looking like a Qemu/KVM virtual machine --containers Monitor and apply labels for processes running as containers --mtls Connect to Riemann using mTLS instead of plain TCP --ca CA certificate file (.pem format) --cert Client certificate file (.pem format) --key Client RSA key file -h, --help Print help With default options values, the metrics are sent to http://localhost:5555 every 5 seconds Use --mtls option to connect to a Riemann server using mTLS. In such case, you must provide the following parameters: --address to specify the fqdn of the Riemann server. --ca to specify the CA that authenticate the Riemann server. --cert to specify the client certificate. --key to specify the RSA key to be used by the client certificate. Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. This will allow to easily create charts consumption for each vm and defined which one is the top contributor. Troubleshooting note: run Scaphandre using -vv parameter. If Scaphandre is stuck on the Send data log event, ensure you are connecting the Riemann server using a TLS port (5554 in the below example). As a reference here is a Riemann configuration: ; -*- mode: clojure; -*-\n; vim: filetype=clojure (logging/init {:file \"riemann.log\"}) ; Listen on the local interface over TCP (5555), UDP (5555), TLS/TCP (5554) and websockets\n; (5556)\n(let [host \"0.0.0.0\"] (tcp-server {:host host}) (tcp-server {:host host :port 5554 :tls? true :key \"/client.key.pkcs8\" :cert \"/client.pem\" :ca-cert \"/CA.pem\"}) (udp-server {:host host}) (ws-server {:host host})) ; Expire old events from the index every 5 seconds.\n(periodically-expire 5) (let [index (index)] ; Inbound events will be passed to these streams: (streams (default :ttl 60 ; Index all events immediately. index ; Log expired events. (expired (fn [event] (info \"expired\" event))))))","breadcrumbs":"Riemann exporter » Usage","id":"45","title":"Usage"},"46":{"body":"Metrics provided Scaphandre are documented here . There is only one exception about process_power_consumption_microwatts each process has a service name process_power_consumption_microwatts_pid_exe. As an example, process consumption can be retrieved using the following Riemann query: (service =~ \"process_power_consumption_microwatts_%_firefox\") or (service =~ \"process_power_consumption_microwatts_%_scaphandre\")","breadcrumbs":"Riemann exporter » Metrics exposed","id":"46","title":"Metrics exposed"},"47":{"body":"","breadcrumbs":"Stdout exporter » Stdout exporter","id":"47","title":"Stdout exporter"},"48":{"body":"You can launch the stdout exporter this way (running the default powercap_rapl sensor): scaphandre stdout Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. A value of -t 0 will display top consumers infinitely and must be interrupted with ctrl-c. Here is how to display metrics during one minute: scaphandre stdout -t 60 You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step: scaphandre stdout -t 60 -s 5 You can change the number of top consumers displayed with -p. Here is how to display the first 20 top consumers: scaphandre stdout -p 20 You can filter the processes to display with -r. A warning will be risen if this option is used with -p at the same time. In such case, -p behavior is disabled. The -r expected parameter is a regular expression. Details can be found here and tested here . Here is how to display power data for the 'scaphandre' process: scaphandre stdout -r 'scaphandre' Metrics provided Scaphandre are documented here . Since 1.0.0 the flag --raw-metrics displays all metrics available for the host, as a parseable list. This might be useful to list metrics that you would like to fetch afterwards in your monitoring dashboard. Without this flag enabled, Stdout exporter has it's own format and might not show you all available metrics. As always exporter's options can be displayed with -h: Write the metrics to the terminal Usage: scaphandre stdout [OPTIONS] Options: -t, --timeout Maximum time spent measuring, in seconds. If negative, runs forever [default: 10] -s, --step Interval between two measurements, in seconds [default: 2] -p, --processes Maximum number of processes to display [default: 5] -r, --regex-filter Filter processes based on regular expressions (example: 'scaph\\\\w\\\\w.e') --containers Monitor and apply labels for processes running as containers -q, --qemu Apply labels to metrics of processes looking like a Qemu/KVM virtual machine --raw-metrics Display metrics with their names -h, --help Print help","breadcrumbs":"Stdout exporter » Usage","id":"48","title":"Usage"},"49":{"body":"warp10 exporter","breadcrumbs":"Warp10 exporter » Warp10 exporter","id":"49","title":"Warp10 exporter"},"5":{"body":"Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common before running scaphandre: modprobe intel_rapl_common # or intel_rapl for kernels < 5 To quickly run scaphandre in your terminal you may use docker : docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15 Or if you downloaded or built a binary, you'd run: scaphandre stdout -t 15 Here are some other ways to install scaphandre depending on your context: quickly try the project with docker-compose/docker stack run scaphandre on kubernetes run scaphandre on RHEL, with prometheus-push mode Kudos to contributors who work on system packages, please have a try and/or contribute to: Debian package , maintainer: @barnumbirr NixOS package , maintainer: @mmai Other tutorials should come, as: install scaphandre as a proper systemd service scaphandre in your favorite GNU/Linux distribution (need help from packaging gurus !) scaphandre on MacOSX and more...","breadcrumbs":"Installation on GNU/Linux » Installation (GNU/Linux)","id":"5","title":"Installation (GNU/Linux)"},"50":{"body":"You can launch the Warp10 exporter this way (running the default powercap_rapl sensor): scaphandre warp10 You need a token to be able to push data to a warp10 instance. The SCAPH_WARP10_WRITE_TOKEN env var can be used to make it available to scaphandre. Please refer to the warp10 documentation to know how to get the token in the first place. As always exporter's options can be displayed with -h: Expose the metrics to a Warp10 host, through HTTP Usage: scaphandre warpten [OPTIONS] Options: -H, --host FQDN or IP address of the Warp10 instance [default: localhost] -p, --port TCP port of the Warp10 instance [default: 8080] -S, --scheme \"http\" or \"https\" [default: http] -t, --write-token Auth token to write data to Warp10. If not specified, you must set the env variable SCAPH_WARP10_WRITE_TOKEN -s, --step Interval between two measurements, in seconds [default: 2] -q, --qemu Apply labels to metrics of processes looking like a Qemu/KVM virtual machine -h, --help Print help With default options values, the metrics are sent to http://localhost:8080 every 60 seconds Use -q or --qemu option if you are running scaphandre on a hypervisor. In that case a label with the vm name will be added to all qemu-system* processes. This will allow to easily create charts consumption for each vm and defined which one is the top contributor. Metrics provided Scaphandre are documented here .","breadcrumbs":"Warp10 exporter » Usage","id":"50","title":"Usage"},"51":{"body":"","breadcrumbs":"MSR_RAPL sensor » MSR_RAPL sensor","id":"51","title":"MSR_RAPL sensor"},"52":{"body":"At the time those lines are written, this sensor works only on: OS: Windows 10/Windows Server 2016, Windows Server 2019 Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012) This sensor needs the RAPL MSR-based driver to be installed.","breadcrumbs":"MSR_RAPL sensor » Pre-requesites","id":"52","title":"Pre-requesites"},"53":{"body":"To explicitely call the powercap_rapl sensor from the command line use: scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use You can see arguments available from the cli for this sensors with: scaphandre -s msr_rapl -h Please refer to doc.rs code documentation for more details.","breadcrumbs":"MSR_RAPL sensor » Usage","id":"53","title":"Usage"},"54":{"body":"TODO","breadcrumbs":"MSR_RAPL sensor » Options available","id":"54","title":"Options available"},"55":{"body":"TODO","breadcrumbs":"MSR_RAPL sensor » Environment variables","id":"55","title":"Environment variables"},"56":{"body":"TODO","breadcrumbs":"MSR_RAPL sensor » Troubleshooting","id":"56","title":"Troubleshooting"},"57":{"body":"","breadcrumbs":"PowercapRAPL sensor » Powercap_rapl sensor","id":"57","title":"Powercap_rapl sensor"},"58":{"body":"At the time those lines are written, this sensor works only on: OS: GNU/Linux Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012) It needs the following kernel modules to be present and running: On kernels 5.0 or later: intel_rapl_common On kernel prior 5.0: intel_rapl For AMD processors, it seems that powercap/rapl will work only since kernel 5.8 and 5.11 for family 19h . Energy consumption data can be directly collected on a physical machine only. To collect energy consumption on a virtual machine, you may first collect power consumption data from the hypervisor thanks to the qemu exporter and then collect those metrics in the virtual machine thanks to this sensor, with --vm flag enabled.","breadcrumbs":"PowercapRAPL sensor » Pre-requesites","id":"58","title":"Pre-requesites"},"59":{"body":"To explicitely call the powercap_rapl sensor from the command line use: scaphandre -s powercap_rapl EXPORTER # EXPORTER being the exporter name you want to use You can see arguments available from the cli for this sensors with: scaphandre -s powercap_rapl -h If running in a virtual machine: scaphandre --vm -s powercap_rapl EXPORTER Please refer to doc.rs code documentation for more details.","breadcrumbs":"PowercapRAPL sensor » Usage","id":"59","title":"Usage"},"6":{"body":"!! Warning: Windows version of Scaphandre is still in early stage. !!","breadcrumbs":"Installation on Windows » Install Scaphandre on Windows","id":"6","title":"Install Scaphandre on Windows"},"60":{"body":"sensor-buffer-per-socket-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each socket sensor-buffer-per-domain-max-kB: Maximum memory size allowed, in KiloBytes, for storing energy consumption for each domain","breadcrumbs":"PowercapRAPL sensor » Options available","id":"60","title":"Options available"},"61":{"body":"If in --vm mode, you want to read metrics from another path than the default /var/scaphandre, set env var SCAPHANDRE_POWERCAP_PATH with the desired path.","breadcrumbs":"PowercapRAPL sensor » Environment variables","id":"61","title":"Environment variables"},"62":{"body":"When running scaphandre on Ubuntu 20.xx I get a permission denied error Since linux kernel package 5.4.0-53.59 in debian/ubuntu, powercap attributes are only accessible by root: linux (5.4.0-53.59) focal; urgency=medium * CVE-2020-8694 - powercap: make attributes only readable by root Therefor, the user running scaphandre needs to have read access to energy_uj files in /sys/class/powercap. You can run the init.sh script to apply appropriate permissions to the required files.","breadcrumbs":"PowercapRAPL sensor » Troubleshooting","id":"62","title":"Troubleshooting"},"63":{"body":"","breadcrumbs":"MSRRAPL sensor » MSR_RAPL sensor","id":"63","title":"MSR_RAPL sensor"},"64":{"body":"At the time those lines are written, this sensor works only on: OS: Windows 10/Windows Server 2016, Windows Server 2019 Intel and AMD x86 CPUs, produced after 2012 (or some laptop cpu prior to 2012) This sensor needs the RAPL MSR-based driver to be installed.","breadcrumbs":"MSRRAPL sensor » Pre-requesites","id":"64","title":"Pre-requesites"},"65":{"body":"To explicitely call the powercap_rapl sensor from the command line use: scaphandre -s msr_rapl EXPORTER # EXPORTER being the exporter name you want to use You can see arguments available from the cli for this sensors with: scaphandre -s msr_rapl -h Please refer to doc.rs code documentation for more details.","breadcrumbs":"MSRRAPL sensor » Usage","id":"65","title":"Usage"},"66":{"body":"TODO","breadcrumbs":"MSRRAPL sensor » Options available","id":"66","title":"Options available"},"67":{"body":"TODO","breadcrumbs":"MSRRAPL sensor » Environment variables","id":"67","title":"Environment variables"},"68":{"body":"TODO","breadcrumbs":"MSRRAPL sensor » Troubleshooting","id":"68","title":"Troubleshooting"},"69":{"body":"We are facing the biggest challenge of mankind history: to make our activities sustainable enough to not jeopardize our future. Global average temperature anomaly To match the Paris agreement objective of not going further than +2 Celcius degrees on average in 2100, we need to transform our industries. The tech industry is no exception and we need to make sure that its benefits are not cancelled (or worse) by its negative impact. Measuring power consumption in tech services infrastructures is not as easy as it seems. We often rely on physical devices to do that and need to build in-house data pipelines to get those metrics useful. Furthermore this doesn't give fine graned data regarding applications/processes power consumption but only the host power consumption. This is even harder in a virtualization environement or as public cloud customers. Even recent scientific researches about tech energy consumption rely on statistical, both large and narrowed scale, assumptions based data (because it's all we got). Despite their weaknesses, they also all agree on the fact that the current consumption of datacenters and the Internet will increase drastically in the following years. Scaphandre aims to initiate a collaboration of tech companies and enthusiasts to provide an easy, lightweight, robust and well understood way to precisely measure the energy consumption and make it useful to take soberness decisions. Note that the greenhouse gazes emissions related to this energy consumption depends on the energetic mix of your country. You may find valuable data about that on Electricity Map .","breadcrumbs":"Why this project ? » Why ?","id":"69","title":"Why ?"},"7":{"body":"Download the latest exe installer from the release page and install it as an administrator . Configuring a Windows service to run Scaphandre in the background For example, to run the prometheus-push exporter in the background and target the Prometheus Push Gateway server with ip address 198.51.100.5 using HTTPS on port 443 and a step to send metrics of 45s, without checking the certificate of the push gateway (remove that option if you have a properly signed TLS certificate): sc.exe create Scaphandre binPath=\"C:\\Program Files (x86)\\scaphandre\\scaphandre.exe prometheus-push -H 198.51.100.5 -s 45 -S https -p 443 --no-tls-check\" DisplayName=Scaphandre start=auto Ensure the service is started in Services.msc, start it by right clicking on it, then Start, otherwise. To delete the service, you can do it in Services.msc, or: sc.exe delete Scaphandre Using an installer including a development version of the driver If you are running a development version of the installer (which probably means a development version of the driver ), you'll need to enable Test Mode on Windows prior to proceed to this installation, then reboot. bcdedit.exe -set TESTSIGNING ON\nbcdedit.exe -set nointegritychecks on Beware: in this case, activation of test mode and a reboot is needed before anyway. Once installed, you should be able to run scaphandre from Powershell, by running : & 'C:\\Program Files (x86)\\scaphandre\\scaphandre.exe' stdout","breadcrumbs":"Installation on Windows » Using the installer","id":"7","title":"Using the installer"},"70":{"body":"Scaphandre intends to provide multiple ways to gather power consumption metrics and make understanding tech services footprint possible in many situations. Depending on how you use scaphandre, you may have some restrictions. To summarize, scaphandre should provide two ways to estimate the power consumption of a service, process or machine. Either by measuring it , using software interfaces that give access to hardware metrics, or by estimating it if measuring is not an option (this is a planned feature , not yet implemented as those lines are written, in december 2020). In scaphandre, the code responsible to collect the power consumption data before any further processing is grouped in components called sensors . If you want more details about scaphandre structure, here are the explanations . On GNU/Linux PowercapRAPL sensor enables you to measure the power consumption, but it doesn't work in all contexts. On Windows, the MsrRAPL sensor , coupled with the driver responsible to read RAPL MSR's enables you to do (almost) the same. Sensor Intel x86 bare metal AMD x86 bare metal ARM bare metal Virtual Machine Public cloud instance Container PowercapRAPL (GNU/Linux only) Yes Yes ⚠️ kernel > 5.11 required We don't know yet Yes, if on a qemu/KVM hypervisor that runs scaphandre and the Qemu exporter No, until your cloud provider uses scaphandre on its hypervisors Depends on what you want MsrRAPL (Windows only) Yes Probable yes (not tested yet, if you have windows operated AMD gear, please consider contributing No Not yet, depends on improvements on the MsrRAPL sensors and overall windows/hypervisors support in Scaphandre No, until your cloud provider uses scaphandre on its hypervisors Might work, not tested yet. If you want to join us in this journey, please consider contributing Future estimation based sensor Future Yes Future Yes Future Yes Future Yes Future Yes Future Yes","breadcrumbs":"Compatibility » Compatibility","id":"70","title":"Compatibility"},"71":{"body":"Sensors including \"RAPL\" in their name rely on RAPL . The pts and pln feature flags (\"Intel Package Thermal Status\" and \"Intel Power Limit Notification\" respectively) seem to indicate that RAPL is supported on a CPU. On GNU/Linux, you could be sure of their presence, if this command succeds and matches : egrep \"(pts|pln)\" /proc/cpuinfo","breadcrumbs":"Compatibility » Checking RAPL is available on your CPU","id":"71","title":"Checking RAPL is available on your CPU"},"72":{"body":"I get a permission denied error when I run scaphandre, no matter what is the exporter Since Linux kernel 5.10 (late 2020), the energy counters files that the PowercapRAPL sensor uses, are owned by root. To ensure this is your issue and fix that quickly you can run the init.sh script: bash init.sh Then run scaphandre. If it does not work, the issue is somewhere else. I get a no such device error, the intel_rapl of intel_rapl_common kernel modules are present It can mean that your cpu doesn't support RAPL. Please refer to the compatibility section to be sure. I can't mount the required kernel modules, getting a Could'nt find XXX modules error If you are in a situation comparable to this one , you may need to install additional packages. On ubuntu 20.01 and 20.10, try to install linux-modules-extra-$(uname -r) with apt. Then you should be able to modprobe intel_rapl_common. On an AMD cpu machine, I get the following stracktrace scaphandre::sensors::powercap_rapl: Couldn't find intel_rapl modules.\nthread 'main' panicked at 'Trick: if you are running on a vm, do not forget to use --vm parameter invoking scaphandre at the command line', src/sensors/mod.rs:238:18\nstack backtrace: 0: rust_begin_unwind at /build/rust/src/rustc-1.49.0-src/library/std/src/panicking.rs:495:5 1: core::panicking::panic_fmt at /build/rust/src/rustc-1.49.0-src/library/core/src/panicking.rs:92:14 2: core::option::expect_failed at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:1260:5 3: core::option::Option::expect at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:349:21 4: scaphandre::sensors::Topology::add_cpu_cores at ./src/sensors/mod.rs:234:26 5: ::generate_topology at ./src/sensors/powercap_rapl.rs:106:9 6: ::get_topology at ./src/sensors/powercap_rapl.rs:112:24 7: scaphandre::exporters::stdout::StdoutExporter::new at ./src/exporters/stdout.rs:51:30 8: scaphandre::run at ./src/lib.rs:60:28 9: scaphandre::main at ./src/main.rs:91:5 10: core::ops::function::FnOnce::call_once at /build/rust/src/rustc-1.49.0-src/library/core/src/ops/function.rs:227:5\nnote: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace. We verified that scaphandre (and especially the powercap_rapl sensor) works on AMD Zen processors with a Linux kernel 5.11 or later . Before that kernel version, it won't probably work as the drivers needed to feed powercap with rapl data are not present. Trying to build the project I get this error error: linker `cc` not found | = note: No such file or directory (os error 2) error: aborting due to previous error error: could not compile `log` You need compiling tooling. On Ubuntu/Debian, run: sudo apt install build-essential","breadcrumbs":"Troubleshooting » Troubleshooting","id":"72","title":"Troubleshooting"},"73":{"body":"If you are reading this, you may be to contribute. Just for that, a big thank you ! 👏 Feel free to propose pull requests, or open new discussions or issues at will. Scaphandre is a collaborative project and all opinions and propositions shall be heard and studied. The contributions will be received with kindness, gratitude and with an open mind. Remember that we are all dwarfs standing on the shoulders of giants . We all have to learn from others and to give back, with due mutual respect. Code of conduct This project adheres to the Rust Code of Conduct, which can be found here . Ways to contribute Contributions may take multiple forms: 💻 code , of course, but not only (there is a lot more !) 📖 documentation : here is a guide to edit and build the documentation 🎤 Any help on communication : writing blog posts, speaking about scaphandre in conferences, speaking and writing about the responsibility of tech to be sustainable as well ! 🧬 structuring the project and the community is also a very important topic. Feel free to propose help, or start discussions about that. This project intends to unite a lot of people to have a lot of positive impact. Any action going helping us to get there will be very much appreciated ! 🎉 Contact Discussions and questions about the project are welcome on gitter or by email . Contribution guidelines This project intends to use conventional commit messages and the gitflow workflow. Please open your pull requests on the dev branch :) Scaphandre is a not only a tool, but a framework. Modules dedicated to collect energy consumption data from the host are called Sensors . Modules that are dedicated to send this data to a given channel or remote system are called Exporters . New Sensors and Exporters are going to be created and all contributions are welcome. For more on the internal structure please jump here . Edit and build the documentation Documentation source files are in docs_src, edit the content there and propose pull-requests on the scaphandre repository as if it was a code pull-request. Here is how to build and publish the documentation after a change. First download mdbook , the static site generator we use for the documentation website : cargo install mdbook Then fork the scaphandre-documentation repository and clone the resulting repository locally. Place the resulting documentation folder next to scaphandre's folder. Then run the build: cd scaphandre && mdbook build You should then have the result in scaphandre-documentation/docs. Commit, push and propose a PR to publish the changes. You can also serve the current content locally to see your changes before commit: mdbook serve","breadcrumbs":"Contributing guide » Contributing guide","id":"73","title":"Contributing guide"},"74":{"body":"/proc/stat explained Gathering CPU utilization from /proc/stat proc filesystem documentation CPU usage on Linux Using RAPL to read PP0 and DRAM energy on Haswell RAPL reference How to measure linux performance avoiding most typical mistakes: CPU How to calculate cpu utilization","breadcrumbs":"External references you may be interested in » Additional references for documentation","id":"74","title":"Additional references for documentation"},"75":{"body":"arch/x86/events/intel/rapl.c drivers/powercap","breadcrumbs":"External references you may be interested in » Powercap/RAPL source code in the kernel","id":"75","title":"Powercap/RAPL source code in the kernel"},"76":{"body":"PSI Linux PSI by example PSI - Pressure Stall Information How to measure linux performance avoiding most typical mistakes: memory","breadcrumbs":"External references you may be interested in » Topics to investigate","id":"76","title":"Topics to investigate"},"8":{"body":"An error such as scaphandre::sensors::msr_rapl: Failed to open device : HANDLE(-1) means that the driver is not properly setup. Check it's state by running: driverquery /v | findstr capha If there is not item returned, the installation of the driver encountered an issue. If the service is STOPPED, there is also something wrong.","breadcrumbs":"Installation on Windows » Troubleshooting","id":"8","title":"Troubleshooting"},"9":{"body":"If you look for compiling Scaphandre and its driver yourself, see Compilation for Windows","breadcrumbs":"Installation on Windows » 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\ No newline at end of file diff --git a/book/sources.html b/book/sources.html new file mode 100644 index 00000000..89d8c205 --- /dev/null +++ b/book/sources.html @@ -0,0 +1,225 @@ + + + + + + External references you may be interested in - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Additional references for documentation

    + +

    Powercap/RAPL source code in the kernel

    +
      +
    • arch/x86/events/intel/rapl.c
      • +
    • drivers/powercap
      • +
    +

    Topics to investigate

    + + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/theme-dawn.js b/book/theme-dawn.js new file mode 100644 index 00000000..af391d05 --- /dev/null +++ b/book/theme-dawn.js @@ -0,0 +1,7 @@ +ace.define("ace/theme/dawn",["require","exports","module","ace/lib/dom"],function(e,t,n){t.isDark=!1,t.cssClass="ace-dawn",t.cssText=".ace-dawn .ace_gutter {background: #ebebeb;color: #333}.ace-dawn .ace_print-margin {width: 1px;background: #e8e8e8}.ace-dawn {background-color: #F9F9F9;color: #080808}.ace-dawn .ace_cursor {color: #000000}.ace-dawn .ace_marker-layer .ace_selection {background: rgba(39, 95, 255, 0.30)}.ace-dawn.ace_multiselect .ace_selection.ace_start {box-shadow: 0 0 3px 0px #F9F9F9;}.ace-dawn .ace_marker-layer .ace_step {background: rgb(255, 255, 0)}.ace-dawn .ace_marker-layer .ace_bracket {margin: -1px 0 0 -1px;border: 1px solid rgba(75, 75, 126, 0.50)}.ace-dawn .ace_marker-layer .ace_active-line {background: rgba(36, 99, 180, 0.12)}.ace-dawn .ace_gutter-active-line {background-color : #dcdcdc}.ace-dawn .ace_marker-layer .ace_selected-word {border: 1px solid rgba(39, 95, 255, 0.30)}.ace-dawn .ace_invisible {color: rgba(75, 75, 126, 0.50)}.ace-dawn .ace_keyword,.ace-dawn .ace_meta {color: #794938}.ace-dawn .ace_constant,.ace-dawn .ace_constant.ace_character,.ace-dawn .ace_constant.ace_character.ace_escape,.ace-dawn .ace_constant.ace_other {color: #811F24}.ace-dawn .ace_invalid.ace_illegal {text-decoration: underline;font-style: italic;color: #F8F8F8;background-color: #B52A1D}.ace-dawn .ace_invalid.ace_deprecated {text-decoration: underline;font-style: italic;color: #B52A1D}.ace-dawn .ace_support {color: #691C97}.ace-dawn .ace_support.ace_constant {color: #B4371F}.ace-dawn .ace_fold {background-color: #794938;border-color: #080808}.ace-dawn .ace_list,.ace-dawn .ace_markup.ace_list,.ace-dawn .ace_support.ace_function {color: #693A17}.ace-dawn .ace_storage {font-style: italic;color: #A71D5D}.ace-dawn .ace_string {color: #0B6125}.ace-dawn .ace_string.ace_regexp {color: #CF5628}.ace-dawn .ace_comment {font-style: italic;color: #5A525F}.ace-dawn .ace_heading,.ace-dawn .ace_markup.ace_heading {color: #19356D}.ace-dawn .ace_variable {color: #234A97}.ace-dawn .ace_indent-guide {background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAACCAYAAACZgbYnAAAAEklEQVQImWNgYGBgYLh/5+x/AAizA4hxNNsZAAAAAElFTkSuQmCC) right repeat-y}";var r=e("../lib/dom");r.importCssString(t.cssText,t.cssClass)}); 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(function() { + ace.require(["ace/theme/tomorrow_night"], function(m) { + if (typeof module == "object" && typeof exports == "object" && module) { + module.exports = m; + } + }); + })(); diff --git a/book/tomorrow-night.css b/book/tomorrow-night.css new file mode 100644 index 00000000..81fe276e --- /dev/null +++ b/book/tomorrow-night.css @@ -0,0 +1,102 @@ +/* Tomorrow Night Theme */ +/* https://github.com/jmblog/color-themes-for-highlightjs */ +/* Original theme - https://github.com/chriskempson/tomorrow-theme */ +/* https://github.com/jmblog/color-themes-for-highlightjs */ + +/* Tomorrow Comment */ +.hljs-comment { + color: #969896; +} + +/* Tomorrow Red */ +.hljs-variable, +.hljs-attribute, +.hljs-tag, +.hljs-regexp, +.ruby .hljs-constant, +.xml .hljs-tag .hljs-title, +.xml .hljs-pi, +.xml .hljs-doctype, +.html .hljs-doctype, +.css .hljs-id, +.css .hljs-class, +.css .hljs-pseudo { + color: #cc6666; +} + +/* Tomorrow Orange */ +.hljs-number, +.hljs-preprocessor, +.hljs-pragma, +.hljs-built_in, +.hljs-literal, +.hljs-params, +.hljs-constant { + color: #de935f; +} + +/* Tomorrow Yellow */ +.ruby .hljs-class .hljs-title, +.css .hljs-rule .hljs-attribute { + color: #f0c674; +} + +/* Tomorrow Green */ +.hljs-string, +.hljs-value, +.hljs-inheritance, +.hljs-header, +.hljs-name, +.ruby .hljs-symbol, +.xml .hljs-cdata { + color: #b5bd68; +} + +/* Tomorrow Aqua */ +.hljs-title, +.css .hljs-hexcolor { + color: #8abeb7; +} + +/* Tomorrow Blue */ +.hljs-function, +.python .hljs-decorator, +.python .hljs-title, +.ruby .hljs-function .hljs-title, +.ruby .hljs-title .hljs-keyword, +.perl .hljs-sub, +.javascript .hljs-title, +.coffeescript .hljs-title { + color: #81a2be; +} + +/* Tomorrow Purple */ +.hljs-keyword, +.javascript .hljs-function { + color: #b294bb; +} + +.hljs { + display: block; + overflow-x: auto; + background: #1d1f21; + color: #c5c8c6; +} + +.coffeescript .javascript, +.javascript .xml, +.tex .hljs-formula, +.xml .javascript, +.xml .vbscript, +.xml .css, +.xml .hljs-cdata { + opacity: 0.5; +} + +.hljs-addition { + color: #718c00; +} + +.hljs-deletion { + color: #c82829; +} diff --git a/book/troubleshooting.html b/book/troubleshooting.html new file mode 100644 index 00000000..56992435 --- /dev/null +++ b/book/troubleshooting.html @@ -0,0 +1,261 @@ + + + + + + Troubleshooting - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Troubleshooting

    +

    I get a permission denied error when I run scaphandre, no matter what is the exporter

    +

    Since Linux kernel 5.10 (late 2020), the energy counters files that the PowercapRAPL sensor uses, are owned by root.

    +

    To ensure this is your issue and fix that quickly you can run the init.sh script:

    +
    bash init.sh
+
    +

    Then run scaphandre. If it does not work, the issue is somewhere else.

    +

    I get a no such device error, the intel_rapl of intel_rapl_common kernel modules are present

    +

    It can mean that your cpu doesn't support RAPL. Please refer to the compatibility section to be sure.

    +

    I can't mount the required kernel modules, getting a Could'nt find XXX modules error

    +

    If you are in a situation comparable to this one, you may need to install additional packages.

    +

    On ubuntu 20.01 and 20.10, try to install linux-modules-extra-$(uname -r) with apt. Then you should be able to modprobe intel_rapl_common.

    +

    On an AMD cpu machine, I get the following stracktrace

    +
    scaphandre::sensors::powercap_rapl: Couldn't find intel_rapl modules.
+thread 'main' panicked at 'Trick: if you are running on a vm, do not forget to use --vm parameter invoking scaphandre at the command line', src/sensors/mod.rs:238:18
+stack backtrace:
+   0: rust_begin_unwind
+             at /build/rust/src/rustc-1.49.0-src/library/std/src/panicking.rs:495:5
+   1: core::panicking::panic_fmt
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/panicking.rs:92:14
+   2: core::option::expect_failed
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:1260:5
+   3: core::option::Option<T>::expect
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/option.rs:349:21
+   4: scaphandre::sensors::Topology::add_cpu_cores
+             at ./src/sensors/mod.rs:234:26
+   5: <scaphandre::sensors::powercap_rapl::PowercapRAPLSensor as scaphandre::sensors::Sensor>::generate_topology
+             at ./src/sensors/powercap_rapl.rs:106:9
+   6: <scaphandre::sensors::powercap_rapl::PowercapRAPLSensor as scaphandre::sensors::Sensor>::get_topology
+             at ./src/sensors/powercap_rapl.rs:112:24
+   7: scaphandre::exporters::stdout::StdoutExporter::new
+             at ./src/exporters/stdout.rs:51:30
+   8: scaphandre::run
+             at ./src/lib.rs:60:28
+   9: scaphandre::main
+             at ./src/main.rs:91:5
+  10: core::ops::function::FnOnce::call_once
+             at /build/rust/src/rustc-1.49.0-src/library/core/src/ops/function.rs:227:5
+note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.
+
    +

    We verified that scaphandre (and especially the powercap_rapl sensor) works on AMD Zen processors with a Linux kernel 5.11 or later. Before that kernel version, it won't probably work as the drivers needed to feed powercap with rapl data are not present.

    +

    Trying to build the project I get this error

    +
    error: linker `cc` not found
+  |
+  = note: No such file or directory (os error 2)
+
+error: aborting due to previous error
+
+error: could not compile `log`
+
    +

    You need compiling tooling. On Ubuntu/Debian, run:

    +
     sudo apt install build-essential
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/compilation-linux.html b/book/tutorials/compilation-linux.html new file mode 100644 index 00000000..7384cf73 --- /dev/null +++ b/book/tutorials/compilation-linux.html @@ -0,0 +1,225 @@ + + + + + + Compilation for GNU/Linux - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Compile scaphandre from source (GNU/Linux)

    +

    We recommand using this version of the rust toolchain or later:

    +
    cargo --version
+cargo 1.48.0 (65cbdd2dc 2020-10-14)
+rustc --version
+rustc 1.48.0 (7eac88abb 2020-11-16)
+
    +

    To be sure to be up to date, you may install rust from the official website instead of your package manager.

    +

    To hack scaph, or simply be up to date with latest developments, you can download scaphandre from the main branch:

    +
    git clone https://github.com/hubblo-org/scaphandre.git
+cd scaphandre
+cargo build # binary path is target/debug/scaphandre
+
    +

    To use the latest code for a true use case, build for release instead of debug:

    +
    cargo build --release
+
    +

    Binary path is target/release/scaphandre.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/compilation-windows.html b/book/tutorials/compilation-windows.html new file mode 100644 index 00000000..5bf57f5e --- /dev/null +++ b/book/tutorials/compilation-windows.html @@ -0,0 +1,216 @@ + + + + + + Compilation for Windows - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Compilation for Windows (experimental)

    +

    Scaphandre, on Windows, needs a kernel driver to get the same metrics as it does with powercap on GNU/Linux. This driver is available on this repository. Please refer to this project to get either pre-compiled binaries (available soon) or to follow the compilation procedure.

    +

    Scaphandre's dependencies on Windows and GNU/Linux

    +

    Once you have a working driver, you can compile Scaphandre, with the Rust for Windows usual toolkit.

    +

    For now, all Scaphandre features are not supported on windows. Use the following command line to build the binary :

    +
    cargo build --no-default-features --features "prometheus json riemann"
+
    +

    Don't forget to add the --release flag to build a binary suited for more than test and debug usecases.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/docker-compose.html b/book/tutorials/docker-compose.html new file mode 100644 index 00000000..9c90994c --- /dev/null +++ b/book/tutorials/docker-compose.html @@ -0,0 +1,221 @@ + + + + + + Docker-compose - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Run a complete stack with docker-compose

    +

    If you'd like to try scaphandre and see the data in a decent visualization tool, there is a docker-compose in the repository to install scaphandre along side with prometheus and grafana.

    +

    Once you have cloned the repository, just move to the docker-compose folder and run the stack:

    +
    cd docker-compose
+docker-compose up -d
+
    +

    Be warned: the sample stack runs scaphandre as a privileged container. Otherwise apparmor or equivalents might complain about ptrace calls on the host. See #135.

    +

    Grafana will be available at http://localhost:3000, the default username is admin and the password is secret.

    +

    Refresh the dashboard after 30s or enable auto-refresh and you should see the data filling the graphs.

    +

    The process_filter textbox on the top of the graph allows you to look at the power consumption of a single application or service. Type the name of the program you want to look at and press enter. In the Filtered process (process_filter) power, by exe graph, on the 3rd line, you should now see the power cosumption of the given program.

    +

    To remove the stack just run this command in the same folder:

    +
    docker-compose down
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/getting_started.html b/book/tutorials/getting_started.html new file mode 100644 index 00000000..6b4a21c7 --- /dev/null +++ b/book/tutorials/getting_started.html @@ -0,0 +1,265 @@ + + + + + + Getting Started - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Getting started

    +

    To install Scaphandre, depending on your platform, see:

    + +

    If you want to contribute or just play with the code and need to compile Scaphandre, see :

    + +

    Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common first:

    +
    modprobe intel_rapl_common # or intel_rapl for kernels < 5
+
    +

    To quickly run scaphandre in your terminal you may use docker:

    +
    docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15
+
    +

    Or if you downloaded or built a binary, you'd run:

    +
    scaphandre stdout -t 15
+
    +

    Running scaphandre on Fedora / CentOS Stream / RHEL (or any distribution using SELinux) with podman

    +

    Running scaphandre with podman on a distribution using SELinux may fail because of access denied to /proc files.

    +

    To make it work you should run scaphandre in privileged mode :

    +
    podman run --privileged ...
+
    +

    You'll find explanation of this requirement here : #106.

    +

    Output

    +

    Here we are using the stdout exporter to print current power consumption usage in the terminal during 15 seconds.

    +

    You should get an output like:

    +
    Host:	9.391334 W	Core		Uncore		DRAM
+Socket0	9.392    W	1.497082 W
+Top 5 consumers:
+Power	PID	Exe
+4.808363 W	642	"/usr/sbin/dockerd"
+4.808363 W	703	"/usr/bin/docker-containerd"
+4.808363 W	1028	"/usr/local/bin/redis-server"
+0 W	1	"/usr/lib/systemd/systemd"
+0 W	2	""
+------------------------------------------------------------
+
    +

    Let's briefly describe what you see here. First Line is the power consumption of the machine (between the two last measurements). +Second line is the power consumption of the first CPU socket plus the detail by RAPL Domain. +If you have more than one CPU Socket, you'll have multiple SocketX lines. +Then you have the 5 processes consuming the most power during the last two measurements.

    +

    If you don't get this output and get an error, jump to the Troubleshooting section of the documentation.

    +

    Going further

    +

    At that point, you're ready to use scaphandre. The Stdout exporter is very basic and other exporters should allow you to use and send those metrics the way you like.

    +

    The prometheus exporter, for example, allows you to expose power consumption metrics as an HTTP endpoint that can be scrapped by a prometheus instance:

    +
    docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -p 8080:8080 -ti hubblo/scaphandre prometheus
+
    +

    Here is the same command with a simple binary:

    +
    scaphandre prometheus
+
    +

    To validate that the metrics are available, send an http request from another terminal:

    +
    curl -s http://localhost:8080/metrics
+
    +

    Here you can see examples of graphs you can get thanks to scaphandre, the prometheus exporter, prometheus and grafana.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/grafana-helm-values.yaml b/book/tutorials/grafana-helm-values.yaml new file mode 100644 index 00000000..43b2533c --- /dev/null +++ b/book/tutorials/grafana-helm-values.yaml @@ -0,0 +1,23 @@ +datasources: + datasources.yaml: + apiVersion: 1 + datasources: + - name: Prometheus + type: prometheus + url: http://prometheus-server + access: proxy + isDefault: true +dashboardProviders: + dashboardproviders.yaml: + apiVersion: 1 + providers: + - name: default + orgId: 1 + folder: '' + type: file + disableDeletion: false + editable: true + options: + path: /var/lib/grafana/dashboards/default +dashboardsConfigMaps: + default: scaphandre-dashboard diff --git a/book/tutorials/grafana-kubernetes-dashboard.json b/book/tutorials/grafana-kubernetes-dashboard.json new file mode 100644 index 00000000..75ee4331 --- /dev/null +++ b/book/tutorials/grafana-kubernetes-dashboard.json @@ -0,0 +1,787 @@ +{ + "__inputs": [ + { + "name": "DS_PROMETHEUS", + "label": "Prometheus", + "description": "", + "type": "datasource", + "pluginId": "prometheus", + "pluginName": "Prometheus" + } + ], + "__requires": [ + { + "type": "grafana", + "id": "grafana", + "name": "Grafana", + "version": "7.3.5" + }, + { + "type": "panel", + "id": "graph", + "name": "Graph", + "version": "" + }, + { + "type": "datasource", + "id": "prometheus", + "name": "Prometheus", + "version": "1.0.0" + }, + { + "type": "panel", + "id": "text", + "name": "Text", + "version": "" + } + ], + "annotations": { + "list": [ + { + "builtIn": 1, + "datasource": "-- Grafana --", + "enable": true, + "hide": true, + "iconColor": "rgba(0, 211, 255, 1)", + "name": "Annotations & Alerts", + "type": "dashboard" + } + ] + }, + "description": "Show Kubernetes cluster power usage measured with Scaphandre.", + "editable": true, + "gnetId": 13845, + "graphTooltip": 0, + "id": null, + "links": [], + "panels": [ + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "Prometheus", + "fieldConfig": { + "defaults": { + "custom": {}, + "unit": "watt" + }, + "overrides": [] + }, + "fill": 1, + "fillGradient": 0, + "gridPos": { + "h": 8, + "w": 12, + "x": 0, + "y": 0 + }, + "hiddenSeries": false, + "id": 4, + "legend": { + "avg": false, + "current": false, + "max": false, + "min": false, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "nullPointMode": "null", + "options": { + "alertThreshold": true + }, + "percentage": false, + "pluginVersion": "7.3.5", + "pointradius": 2, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "scaph_process_power_consumption_microwatts / 1000000 > 0.01", + "interval": "", + "legendFormat": "{{ exe }}", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Processes using > 0.01W", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "$$hashKey": "object:1445", + "format": "watt", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + }, + { + "$$hashKey": "object:1446", + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + }, + { + "datasource": "Prometheus", + "description": "", + "fieldConfig": { + "defaults": { + "custom": {} + }, + "overrides": [] + }, + "gridPos": { + "h": 8, + "w": 12, + "x": 12, + "y": 0 + }, + "id": 16, + "options": { + "content": "# Kubernetes Energy Usage\n\nPower consumption metrics for Kubernetes clusters using Scaphandre. https://github.com/hubblo-org/scaphandre", + "mode": "markdown" + }, + "pluginVersion": "7.3.5", + "timeFrom": null, + 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], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Nodes", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "$$hashKey": "object:548", + "format": "watt", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + }, + { + "$$hashKey": "object:549", + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + }, + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "Prometheus", + "fieldConfig": { + "defaults": { + "custom": {}, + "unit": "watt" + }, + "overrides": [] + }, + "fill": 1, + "fillGradient": 0, + "gridPos": { + "h": 8, + "w": 12, + "x": 12, + "y": 8 + }, + "hiddenSeries": false, + "id": 6, + 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"seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "scaph_process_power_consumption_microwatts{exe=\"prometheus\"} / 1000000", + "interval": "", + "legendFormat": "{{ kubernetes_node }}", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Prometheus", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "$$hashKey": "object:1217", + "format": "watt", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + }, + { + "$$hashKey": "object:1218", + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + }, + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "Prometheus", + "fieldConfig": { + "defaults": { + "custom": {}, + "unit": "watt" + }, + "overrides": [] + }, + "fill": 1, + "fillGradient": 0, + "gridPos": { + "h": 8, + "w": 12, + "x": 0, + "y": 17 + }, + "hiddenSeries": false, + "id": 8, + "legend": { + "avg": false, + "current": false, + "max": false, + "min": false, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "nullPointMode": "null", + "options": { + "alertThreshold": true + }, + "percentage": false, + "pluginVersion": "7.3.5", + "pointradius": 2, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "scaph_process_power_consumption_microwatts{exe=~\"etcd|kube-apiserver|kube-controller|kube-proxy|kube-scheduler|kubelet\"} / 1000000", + "interval": "", + "legendFormat": "{{ exe }}", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Kubernetes Control Plane", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "$$hashKey": "object:384", + "format": "watt", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + }, + { + "$$hashKey": "object:385", + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + }, + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "Prometheus", + "fieldConfig": { + "defaults": { + "custom": {}, + "unit": "watt" + }, + "overrides": [] + }, + "fill": 1, + "fillGradient": 0, + "gridPos": { + "h": 8, + "w": 12, + "x": 12, + "y": 24 + }, + "hiddenSeries": false, + "id": 12, + "legend": { + "avg": false, + "current": false, + "max": false, + "min": false, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "nullPointMode": "null", + "options": { + "alertThreshold": true + }, + "percentage": false, + "pluginVersion": "7.3.5", + "pointradius": 2, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "scaph_process_power_consumption_microwatts{exe=\"grafana-server\"} / 1000000", + "interval": "", + "legendFormat": "{{ kubernetes_node }}", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Grafana", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "$$hashKey": "object:1293", + "format": "watt", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + }, + { + "$$hashKey": "object:1294", + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + }, + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "Prometheus", + "fieldConfig": { + "defaults": { + "custom": {}, + "unit": "watt" + }, + "overrides": [] + }, + "fill": 1, + "fillGradient": 0, + "gridPos": { + "h": 8, + "w": 12, + "x": 0, + "y": 25 + }, + "hiddenSeries": false, + "id": 14, + "legend": { + "avg": false, + "current": false, + "max": false, + "min": false, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "nullPointMode": "null", + "options": { + "alertThreshold": true + }, + "percentage": false, + "pluginVersion": "7.3.5", + "pointradius": 2, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "scaph_process_power_consumption_microwatts{exe=\"dockerd\"} / 1000000", + "interval": "", + "legendFormat": "{{ kubernetes_node }}", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Docker", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "$$hashKey": "object:100", + "format": "watt", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + }, + { + "$$hashKey": "object:101", + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + } + ], + "refresh": false, + "schemaVersion": 26, + "style": "dark", + "tags": [], + "templating": { + "list": [] + }, + "time": { + "from": "now-30m", + "to": "now" + }, + "timepicker": {}, + "timezone": "", + "title": "Kubernetes power usage using Scaphandre", + "uid": "Bg3f4zPGz", + "version": 4 +} diff --git a/book/tutorials/installation-linux.html b/book/tutorials/installation-linux.html new file mode 100644 index 00000000..58723a1a --- /dev/null +++ b/book/tutorials/installation-linux.html @@ -0,0 +1,236 @@ + + + + + + Installation on GNU/Linux - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Installation (GNU/Linux)

    +

    Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common before running scaphandre:

    +
    modprobe intel_rapl_common # or intel_rapl for kernels < 5
+
    +

    To quickly run scaphandre in your terminal you may use docker:

    +
    docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15
+
    +

    Or if you downloaded or built a binary, you'd run:

    +
    scaphandre stdout -t 15
+
    +

    Here are some other ways to install scaphandre depending on your context:

    + +

    Kudos to contributors who work on system packages, please have a try and/or contribute to:

    + +

    Other tutorials should come, as:

    +
      +
    • install scaphandre as a proper systemd service
      • +
    • scaphandre in your favorite GNU/Linux distribution (need help from packaging gurus !)
      • +
    • scaphandre on MacOSX
      • +
    • and more...
      • +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/installation-windows.html b/book/tutorials/installation-windows.html new file mode 100644 index 00000000..2be8f49f --- /dev/null +++ b/book/tutorials/installation-windows.html @@ -0,0 +1,240 @@ + + + + + + Installation on Windows - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Install Scaphandre on Windows

    +

    !! Warning: Windows version of Scaphandre is still in early stage. !!

    +

    Using the installer

    +

    Download the latest exe installer from the release page and install it as an administrator.

    +

    Configuring a Windows service to run Scaphandre in the background

    +

    For example, to run the prometheus-push exporter in the background and target the Prometheus Push Gateway server with ip address 198.51.100.5 using HTTPS on port 443 and a step to send metrics of 45s, without checking the certificate of the push gateway (remove that option if you have a properly signed TLS certificate):

    +
    sc.exe create Scaphandre binPath="C:\Program Files (x86)\scaphandre\scaphandre.exe prometheus-push -H 198.51.100.5 -s 45 -S https -p 443 --no-tls-check" DisplayName=Scaphandre start=auto
+
    +

    Ensure the service is started in Services.msc, start it by right clicking on it, then Start, otherwise.

    +

    To delete the service, you can do it in Services.msc, or:

    +
    sc.exe delete Scaphandre
+
    +

    Using an installer including a development version of the driver

    +

    If you are running a development version of the installer (which probably means a development version of the driver), you'll need to enable Test Mode on Windows prior to proceed to this installation, then reboot.

    +
    bcdedit.exe -set TESTSIGNING ON
+bcdedit.exe -set nointegritychecks on
+
    +

    Beware: in this case, activation of test mode and a reboot is needed before anyway.

    +

    Once installed, you should be able to run scaphandre from Powershell, by running :

    +
    & 'C:\Program Files (x86)\scaphandre\scaphandre.exe' stdout
+
    +

    Troubleshooting

    +

    An error such as

    +
    scaphandre::sensors::msr_rapl: Failed to open device : HANDLE(-1)
+
    +

    means that the driver is not properly setup. Check it's state by running:

    +
    driverquery /v | findstr capha
+
    +

    If there is not item returned, the installation of the driver encountered an issue.

    +

    If the service is STOPPED, there is also something wrong.

    +

    Compilation

    +

    If you look for compiling Scaphandre and its driver yourself, see Compilation for Windows

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/book/tutorials/kubernetes.html b/book/tutorials/kubernetes.html new file mode 100644 index 00000000..67c11010 --- /dev/null +++ b/book/tutorials/kubernetes.html @@ -0,0 +1,271 @@ + + + + + + Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Kubernetes

    +

    This tutorial uses Helm to install +Scaphandre, Prometheus and Grafana.

    +

    Install Scaphandre

    +

    First we install Scaphandre which runs as a daemon set which creates a pod on +each node for collecting the metrics. The helm chart is not in a repo, it needs +to be installed from the source code.

    +
    git clone https://github.com/hubblo-org/scaphandre
+cd scaphandre
+helm install scaphandre helm/scaphandre
+
    +

    Parameters

    +

    Service monitor parameters

    +
    + + + +
    NameDescriptionValue
    serviceMonitor.enabledCreate ServiceMonitor Resource for scraping metrics using PrometheusOperatorfalse
    serviceMonitor.namespaceThe namespace in which the ServiceMonitor will be created (if not set, default to namespace on which this chart is installed)""
    serviceMonitor.intervalThe interval at which metrics should be scraped1m
    +
    +

    Security Parameters

    +
    + + + +
    NameDescriptionValue
    securityContext.privilegedGives full host access, bypassing container isolation (can be needed to run on physical server)false
    securityContext.runAsUserRun as root user to get proper permissions0
    securityContext.runAsGroupRun as root group to get proper permissions0
    +
    +

    Install Prometheus

    +

    Next we will install Prometheus which will scrape the metrics generated by Scaphandre.

    +
    helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo add kube-state-metrics https://kubernetes.github.io/kube-state-metrics
+helm repo update
+
+helm install prometheus prometheus-community/prometheus \
+--set alertmanager.persistentVolume.enabled=false \
+--set server.persistentVolume.enabled=false
+
    +

    This setup should only be used for testing as the Prometheus data is not +persisted if the pods are deleted.

    +

    You can access the Prometheus web UI by creating a port forwarding connection.

    +
    kubectl port-forward deploy/prometheus-server 9090:9090
+
    +

    Install Grafana

    +

    Create a configmap to store the Grafana dashboard.

    +
    kubectl create configmap scaphandre-dashboard \
+    --from-file=scaphandre-dashboard.json=docs_src/tutorials/grafana-kubernetes-dashboard.json
+
    +

    Install Grafana.

    +
    helm repo add grafana https://grafana.github.io/helm-charts
+helm repo update
+
+helm install grafana grafana/grafana --values docs_src/tutorials/grafana-helm-values.yaml
+
    +

    Get the Grafana web UI password which is randomly generated.

    +
    kubectl get secret grafana -o jsonpath="{.data.admin-password}" | base64 --decode
+
    +

    Create a port forwarding connection to the Grafana pod.

    +
    kubectl port-forward deploy/grafana 3000:3000
+
    +

    Open Grafana in your browser at http://localhost:3000 the username is admin.

    +

    Cleaning up

    +

    Deleting the Helm releases will remove all the resources we created.

    +
    helm delete grafana prometheus scaphandre
+
    + +
    + + +
    +
    + + + +
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zDspO6ovK4V#mURgpC$roA5yrJ>eIR$L=W*DoWmSPJ*3$RqK~*64b=n?@xL)*{127Q WVX+;v*f;WRh^Cs}{Yu2+Xa5Et(BGB- literal 0 HcmV?d00001 diff --git a/book/virtu.cleaned.svg b/book/virtu.cleaned.svg new file mode 100644 index 00000000..d0d5ca75 --- /dev/null +++ b/book/virtu.cleaned.svg @@ -0,0 +1,111 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/book/why.html b/book/why.html new file mode 100644 index 00000000..df2e30eb --- /dev/null +++ b/book/why.html @@ -0,0 +1,218 @@ + + + + + + Why this project ? - Scaphandre documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

      + + + + + + + + + + + + + + +
      + +
      + + + + + + + + +
      +
      +

      Why ?

      +

      We are facing the biggest challenge of mankind history: to make our activities sustainable enough to not jeopardize our future.

      +

      Global average temperature anomaly

      +

      To match the Paris agreement objective of not going further than +2 Celcius degrees on average in 2100, we need to transform our industries. +The tech industry is no exception and we need to make sure that its benefits are not cancelled (or worse) by its negative impact.

      +

      Measuring power consumption in tech services infrastructures is not as easy as it seems. We often rely on physical devices to do that and need to build in-house data pipelines to get those metrics useful. Furthermore this doesn't give fine graned data regarding applications/processes power consumption but only the host power consumption. +This is even harder in a virtualization environement or as public cloud customers.

      +

      Even recent scientific researches about tech energy consumption rely on statistical, both large and narrowed scale, assumptions based data (because it's all we got). Despite their weaknesses, they also all agree on the fact that the current consumption of datacenters and the Internet will increase drastically in the following years.

      +

      Scaphandre aims to initiate a collaboration of tech companies and enthusiasts to provide an easy, lightweight, robust and well understood way to precisely measure the energy consumption and make it useful to take soberness decisions.

      +

      Note that the greenhouse gazes emissions related to this energy consumption depends on the energetic mix of your country. You may find valuable data about that on Electricity Map.

      + +
      + + +
      +
      + + + +
      + + + + + + + + + + + + + + + + + + + + + + + + +
      + + diff --git a/changelog.rss b/changelog.rss new file mode 100644 index 00000000..e5878991 --- /dev/null +++ b/changelog.rss @@ -0,0 +1,141 @@ +scaphandre Changeloghttp://127.0.0.1:7979/scaphandre/changelogChangelog information for scaphandrescaphandre ChangelogScaphandre v1.0.0http://127.0.0.1:7979/scaphandre/changelog/v1.0.0scaphandre Changeloghttp://127.0.0.1:7979/scaphandre/changelog/v1.0.0Added

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an XSS except + // for '. Due to that we also manually replace ' with its url-encoded + // representation (%27). + var searchterms = encodeURIComponent(searchterms.join(" ")).replace(/\'/g, "%27"); + + return '' + result.doc.breadcrumbs + '' + + '' + + teaser + ''; + } + + function makeTeaser(body, searchterms) { + // The strategy is as follows: + // First, assign a value to each word in the document: + // Words that correspond to search terms (stemmer aware): 40 + // Normal words: 2 + // First word in a sentence: 8 + // Then use a sliding window with a constant number of words and count the + // sum of the values of the words within the window. Then use the window that got the + // maximum sum. If there are multiple maximas, then get the last one. + // Enclose the terms in . + var stemmed_searchterms = searchterms.map(function(w) { + return elasticlunr.stemmer(w.toLowerCase()); + }); + var searchterm_weight = 40; + var weighted = []; // contains elements of ["word", weight, index_in_document] + // split in sentences, then words + var sentences = body.toLowerCase().split('. '); + var index = 0; + var value = 0; + var searchterm_found = false; + for (var sentenceindex in sentences) { + var words = sentences[sentenceindex].split(' '); + value = 8; + for (var wordindex in words) { + var word = words[wordindex]; + if (word.length > 0) { + for (var searchtermindex in stemmed_searchterms) { + if (elasticlunr.stemmer(word).startsWith(stemmed_searchterms[searchtermindex])) { + value = searchterm_weight; + searchterm_found = true; + } + }; + weighted.push([word, value, index]); + value = 2; + } + index += word.length; + index += 1; // ' ' or '.' if last word in sentence + }; + index += 1; // because we split at a two-char boundary '. ' + }; + + if (weighted.length == 0) { + return body; + } + + var window_weight = []; + var window_size = Math.min(weighted.length, results_options.teaser_word_count); + + var cur_sum = 0; + for (var wordindex = 0; wordindex < window_size; wordindex++) { + cur_sum += weighted[wordindex][1]; + }; + window_weight.push(cur_sum); + for (var wordindex = 0; wordindex < weighted.length - window_size; wordindex++) { + cur_sum -= weighted[wordindex][1]; + cur_sum += weighted[wordindex + window_size][1]; + window_weight.push(cur_sum); + }; + + if (searchterm_found) { + var max_sum = 0; + var max_sum_window_index = 0; + // backwards + for (var i = window_weight.length - 1; i >= 0; i--) { + if (window_weight[i] > max_sum) { + max_sum = window_weight[i]; + max_sum_window_index = i; + } + }; + } else { + max_sum_window_index = 0; + } + + // add around searchterms + var teaser_split = []; + var index = weighted[max_sum_window_index][2]; + for (var i = max_sum_window_index; i < max_sum_window_index+window_size; i++) { + var word = weighted[i]; + if (index < word[2]) { + // missing text from index to start of `word` + teaser_split.push(body.substring(index, word[2])); + index = word[2]; + } + if (word[1] == searchterm_weight) { + teaser_split.push("") + } + index = word[2] + word[0].length; + teaser_split.push(body.substring(word[2], index)); + if (word[1] == searchterm_weight) { + teaser_split.push("") + } + }; + + return teaser_split.join(''); + } + + function init(config) { + results_options = config.results_options; + search_options = config.search_options; + searchbar_outer = config.searchbar_outer; + doc_urls = config.doc_urls; + searchindex = elasticlunr.Index.load(config.index); + + // Set up events + searchicon.addEventListener('click', function(e) { searchIconClickHandler(); }, false); + searchbar.addEventListener('keyup', function(e) { searchbarKeyUpHandler(); }, false); + document.addEventListener('keydown', function(e) { globalKeyHandler(e); }, false); + // If the user uses the browser buttons, do the same as if a reload happened + window.onpopstate = function(e) { doSearchOrMarkFromUrl(); }; + // Suppress "submit" events so the page doesn't reload when the user presses Enter + document.addEventListener('submit', function(e) { e.preventDefault(); }, false); + + // If reloaded, do the search or mark again, depending on the current url parameters + doSearchOrMarkFromUrl(); + } + + function unfocusSearchbar() { + // hacky, but just focusing a div only works once + var tmp = document.createElement('input'); + tmp.setAttribute('style', 'position: absolute; opacity: 0;'); + searchicon.appendChild(tmp); + tmp.focus(); + tmp.remove(); + } + + // On reload or browser history backwards/forwards events, parse the url and do search or mark + function doSearchOrMarkFromUrl() { + // Check current URL for search request + var url = parseURL(window.location.href); + if (url.params.hasOwnProperty(URL_SEARCH_PARAM) + && url.params[URL_SEARCH_PARAM] != "") { + showSearch(true); + searchbar.value = decodeURIComponent( + (url.params[URL_SEARCH_PARAM]+'').replace(/\+/g, '%20')); + searchbarKeyUpHandler(); // -> doSearch() + } else { + showSearch(false); + } + + if (url.params.hasOwnProperty(URL_MARK_PARAM)) { + var words = decodeURIComponent(url.params[URL_MARK_PARAM]).split(' '); + marker.mark(words, { + exclude: mark_exclude + }); + + var markers = document.querySelectorAll("mark"); + function hide() { + for (var i = 0; i < markers.length; i++) { + markers[i].classList.add("fade-out"); + window.setTimeout(function(e) { marker.unmark(); }, 300); + } + } + for (var i = 0; i < markers.length; i++) { + markers[i].addEventListener('click', hide); + } + } + } + + // Eventhandler for keyevents on `document` + function globalKeyHandler(e) { + if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey || e.target.type === 'textarea' || e.target.type === 'text' || !hasFocus() && /^(?:input|select|textarea)$/i.test(e.target.nodeName)) { return; } + + if (e.keyCode === ESCAPE_KEYCODE) { + e.preventDefault(); + searchbar.classList.remove("active"); + setSearchUrlParameters("", + (searchbar.value.trim() !== "") ? "push" : "replace"); + if (hasFocus()) { + unfocusSearchbar(); + } + showSearch(false); + marker.unmark(); + } else if (!hasFocus() && e.keyCode === SEARCH_HOTKEY_KEYCODE) { + e.preventDefault(); + showSearch(true); + window.scrollTo(0, 0); + searchbar.select(); + } else if (hasFocus() && e.keyCode === DOWN_KEYCODE) { + e.preventDefault(); + unfocusSearchbar(); + searchresults.firstElementChild.classList.add("focus"); + } else if (!hasFocus() && (e.keyCode === DOWN_KEYCODE + || e.keyCode === UP_KEYCODE + || e.keyCode === SELECT_KEYCODE)) { + // not `:focus` because browser does annoying scrolling + var focused = searchresults.querySelector("li.focus"); + if (!focused) return; + e.preventDefault(); + if (e.keyCode === DOWN_KEYCODE) { + var next = focused.nextElementSibling; + if (next) { + focused.classList.remove("focus"); + next.classList.add("focus"); + } + } else if (e.keyCode === UP_KEYCODE) { + focused.classList.remove("focus"); + var prev = focused.previousElementSibling; + if (prev) { + prev.classList.add("focus"); + } else { + searchbar.select(); + } + } else { // SELECT_KEYCODE + window.location.assign(focused.querySelector('a')); + } + } + } + + function showSearch(yes) { + if (yes) { + search_wrap.classList.remove('hidden'); + searchicon.setAttribute('aria-expanded', 'true'); + } else { + search_wrap.classList.add('hidden'); + searchicon.setAttribute('aria-expanded', 'false'); + var results = searchresults.children; + for (var i = 0; i < results.length; i++) { + results[i].classList.remove("focus"); + } + } + } + + function showResults(yes) { + if (yes) { + searchresults_outer.classList.remove('hidden'); + } else { + searchresults_outer.classList.add('hidden'); + } + } + + // Eventhandler for search icon + function searchIconClickHandler() { + if (search_wrap.classList.contains('hidden')) { + showSearch(true); + window.scrollTo(0, 0); + searchbar.select(); + } else { + showSearch(false); + } + } + + // Eventhandler for keyevents while the searchbar is focused + function searchbarKeyUpHandler() { + var searchterm = searchbar.value.trim(); + if (searchterm != "") { + searchbar.classList.add("active"); + doSearch(searchterm); + } else { + searchbar.classList.remove("active"); + showResults(false); + removeChildren(searchresults); + } + + setSearchUrlParameters(searchterm, "push_if_new_search_else_replace"); + + // Remove marks + marker.unmark(); + } + + // Update current url with ?URL_SEARCH_PARAM= parameter, remove ?URL_MARK_PARAM and #heading-anchor . + // `action` can be one of "push", "replace", "push_if_new_search_else_replace" + // and replaces or pushes a new browser history item. + // "push_if_new_search_else_replace" pushes if there is no `?URL_SEARCH_PARAM=abc` yet. + function setSearchUrlParameters(searchterm, action) { + var url = parseURL(window.location.href); + var first_search = ! url.params.hasOwnProperty(URL_SEARCH_PARAM); + if (searchterm != "" || action == "push_if_new_search_else_replace") { + url.params[URL_SEARCH_PARAM] = searchterm; + delete url.params[URL_MARK_PARAM]; + url.hash = ""; + } else { + delete url.params[URL_MARK_PARAM]; + delete url.params[URL_SEARCH_PARAM]; + } + // A new search will also add a new history item, so the user can go back + // to the page prior to searching. A updated search term will only replace + // the url. + if (action == "push" || (action == "push_if_new_search_else_replace" && first_search) ) { + history.pushState({}, document.title, renderURL(url)); + } else if (action == "replace" || (action == "push_if_new_search_else_replace" && !first_search) ) { + history.replaceState({}, document.title, renderURL(url)); + } + } + + function doSearch(searchterm) { + + // Don't search the same twice + if (current_searchterm == searchterm) { return; } + else { current_searchterm = searchterm; } + + if (searchindex == null) { return; } + + // Do the actual search + var results = searchindex.search(searchterm, search_options); + var resultcount = Math.min(results.length, results_options.limit_results); + + // Display search metrics + searchresults_header.innerText = formatSearchMetric(resultcount, searchterm); + + // Clear and insert results + var searchterms = searchterm.split(' '); + removeChildren(searchresults); + for(var i = 0; i < resultcount ; i++){ + var resultElem = document.createElement('li'); + resultElem.innerHTML = formatSearchResult(results[i], searchterms); + searchresults.appendChild(resultElem); + } + + // Display results + showResults(true); + } + + fetch(path_to_root + 'searchindex.json') + .then(response => response.json()) + .then(json => init(json)) + .catch(error => { // Try to load searchindex.js if fetch failed + var script = document.createElement('script'); + script.src = path_to_root + 'searchindex.js'; + script.onload = () => init(window.search); + document.head.appendChild(script); + }); + + // Exported functions + search.hasFocus = hasFocus; +})(window.search); diff --git a/book/searchindex.js b/book/searchindex.js new file mode 100644 index 00000000..93917a2f --- /dev/null +++ b/book/searchindex.js @@ -0,0 +1 @@ +Object.assign(window.search, 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on Scaphandre documentation. Scaphandre is a monitoring agent , dedicated to energy consumption metrics. Its purpose is to help measuring and thus understanding tech services energy consumption patterns. This is key, in our opinion, to enable the tech industry to shift towards more sustainability. 💚 If at this point you think \"why bother ?\", or if you want more details about this project's motivations, please have a look at the why section. If not and you want to proceed, just directly jump to the tutorials section. If you need more in-depth, use-case oriented instructions, the how-to guides are here for you. Explanations is about theoretical concepts behind scaphandre and the reasons for the technical choices that have been made so far. If you are already using, hacking or exploring scaphandre and need precise informations about one of its components, go to the references section. (The code documentation itself is here ).","breadcrumbs":"Introduction » Introduction","id":"0","title":"Introduction"},"1":{"body":"To install Scaphandre, depending on your platform, see: Installation on GNU/Linux section. Installation on Windows section. If you want to contribute or just play with the code and need to compile Scaphandre, see : Compilation on GNU/Linux . Compilation on Windows . Depending on your kernel version, you could need to modprobe the module intel_rapl or intel_rapl_common first: modprobe intel_rapl_common # or intel_rapl for kernels < 5 To quickly run scaphandre in your terminal you may use docker : docker run -v /sys/class/powercap:/sys/class/powercap -v /proc:/proc -ti hubblo/scaphandre stdout -t 15 Or if you downloaded or built a binary, you'd run: scaphandre stdout -t 15","breadcrumbs":"Getting Started » Getting started","id":"1","title":"Getting started"},"10":{"body":"If you'd like to try scaphandre and see the data in a decent visualization tool, there is a docker-compose in the repository to install scaphandre along side with prometheus and grafana . Once you have cloned the repository, just move to the docker-compose folder and run the stack: cd docker-compose\ndocker-compose up -d Be warned: the sample stack runs scaphandre as a privileged container. Otherwise apparmor or equivalents might complain about ptrace calls on the host. See #135 . Grafana will be available at http://localhost:3000, the default username is admin and the password is secret. Refresh the dashboard after 30s or enable auto-refresh and you should see the data filling the graphs. The process_filter textbox on the top of the graph allows you to look at the power consumption of a single application or service. Type the name of the program you want to look at and press enter. In the Filtered process (process_filter) power, by exe graph, on the 3rd line, you should now see the power cosumption of the given program. To remove the stack just run this command in the same folder: docker-compose down","breadcrumbs":"Docker-compose » Run a complete stack with docker-compose","id":"10","title":"Run a complete stack with docker-compose"},"11":{"body":"We recommand using this version of the rust toolchain or later: cargo --version\ncargo 1.48.0 (65cbdd2dc 2020-10-14)\nrustc --version\nrustc 1.48.0 (7eac88abb 2020-11-16) To be sure to be up to date, you may install rust from the official website instead of your package manager. To hack scaph , or simply be up to date with latest developments, you can download scaphandre from the main branch: git clone https://github.com/hubblo-org/scaphandre.git\ncd scaphandre\ncargo build # binary path is target/debug/scaphandre To use the latest code for a true use case, build for release instead of debug: cargo build --release Binary path is target/release/scaphandre.","breadcrumbs":"Compilation for GNU/Linux » Compile scaphandre from source (GNU/Linux)","id":"11","title":"Compile scaphandre from source (GNU/Linux)"},"12":{"body":"Scaphandre, on Windows, needs a kernel driver to get the same metrics as it does with powercap on GNU/Linux. This driver is available on this repository . Please refer to this project to get either pre-compiled binaries (available soon) or to follow the compilation procedure. Scaphandre's dependencies on Windows and GNU/Linux Once you have a working driver, you can compile Scaphandre, with the Rust for Windows usual toolkit. For now, all Scaphandre features are not supported on windows. Use the following command line to build the binary : cargo build --no-default-features --features \"prometheus json riemann\" Don't forget to add the --release flag to build a binary suited for more than test and debug usecases.","breadcrumbs":"Compilation for Windows » Compilation for Windows (experimental)","id":"12","title":"Compilation for Windows (experimental)"},"13":{"body":"This tutorial uses Helm to install Scaphandre, Prometheus and Grafana.","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Kubernetes","id":"13","title":"Kubernetes"},"14":{"body":"First we install Scaphandre which runs as a daemon set which creates a pod on each node for collecting the metrics. The helm chart is not in a repo, it needs to be installed from the source code. git clone https://github.com/hubblo-org/scaphandre\ncd scaphandre\nhelm install scaphandre helm/scaphandre Parameters Service monitor parameters Name Description Value serviceMonitor.enabled Create ServiceMonitor Resource for scraping metrics using PrometheusOperator false serviceMonitor.namespace The namespace in which the ServiceMonitor will be created (if not set, default to namespace on which this chart is installed) \"\" serviceMonitor.interval The interval at which metrics should be scraped 1m Security Parameters Name Description Value securityContext.privileged Gives full host access, bypassing container isolation (can be needed to run on physical server) false securityContext.runAsUser Run as root user to get proper permissions 0 securityContext.runAsGroup Run as root group to get proper permissions 0","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Install Scaphandre","id":"14","title":"Install Scaphandre"},"15":{"body":"Next we will install Prometheus which will scrape the metrics generated by Scaphandre. helm repo add prometheus-community https://prometheus-community.github.io/helm-charts\nhelm repo add kube-state-metrics https://kubernetes.github.io/kube-state-metrics\nhelm repo update helm install prometheus prometheus-community/prometheus \\\n--set alertmanager.persistentVolume.enabled=false \\\n--set server.persistentVolume.enabled=false This setup should only be used for testing as the Prometheus data is not persisted if the pods are deleted. You can access the Prometheus web UI by creating a port forwarding connection. kubectl port-forward deploy/prometheus-server 9090:9090","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Install Prometheus","id":"15","title":"Install Prometheus"},"16":{"body":"Create a configmap to store the Grafana dashboard. kubectl create configmap scaphandre-dashboard \\ --from-file=scaphandre-dashboard.json=docs_src/tutorials/grafana-kubernetes-dashboard.json Install Grafana. helm repo add grafana https://grafana.github.io/helm-charts\nhelm repo update helm install grafana grafana/grafana --values docs_src/tutorials/grafana-helm-values.yaml Get the Grafana web UI password which is randomly generated. kubectl get secret grafana -o jsonpath=\"{.data.admin-password}\" | base64 --decode Create a port forwarding connection to the Grafana pod. kubectl port-forward deploy/grafana 3000:3000 Open Grafana in your browser at http://localhost:3000 the username is admin.","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Install Grafana","id":"16","title":"Install Grafana"},"17":{"body":"Deleting the Helm releases will remove all the resources we created. helm delete grafana prometheus scaphandre","breadcrumbs":"Power consumption of a Kubernetes cluster with scaphandre, prometheus and grafana » Cleaning up","id":"17","title":"Cleaning up"},"18":{"body":"","breadcrumbs":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) » Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM)","id":"18","title":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM)"},"19":{"body":"A major pain point in measuring power consumption is doing so inside a virtual machine. A virtual machine usually doesn't have access to power metrics. Scaphandre aims at solving that by enabling a communication between a scaphandre instance on the hypervisor/bare metal machine and another one running on the virtual machine . The scaphandre agent on the hypervisor will compute the metrics meaningful for that virtual machine and the one on the VM access those metrics to allow its user/administrator to use the data as if they had access to power metrics in the first place (as if they were on a bare metal machine). This allows to break opacity in a virtualization context, if you have access to the hypervisor, or in a public cloud context if the provider uses scaphandre on its hypervisors.","breadcrumbs":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) » Introduction","id":"19","title":"Introduction"},"2":{"body":"Running scaphandre with podman on a distribution using SELinux may fail because of access denied to /proc files. To make it work you should run scaphandre in privileged mode : podman run --privileged ... You'll find explanation of this requirement here : #106 .","breadcrumbs":"Getting Started » Running scaphandre on Fedora / CentOS Stream / RHEL (or any distribution using SELinux) with podman","id":"2","title":"Running scaphandre on Fedora / CentOS Stream / RHEL (or any distribution using SELinux) with podman"},"20":{"body":"This is working on Qemu/KVM hypervisors only. The idea is to run the agent on the hypervisor, with the qemu exporter : scaphandre qemu More examples for a production ready setup will be added soon (systemd service, docker container, ...). If you think the documentation needs a refresh now, please contribute :) For each virtual machine you want to give access to its metrics, create a tmpfs mountpoint: mount -t tmpfs tmpfs_DOMAIN_NAME /var/lib/libvirt/scaphandre/DOMAIN_NAME -o size=5m In the definition of the virtual machine (here we are using libvirt), ensure you have a filesystem configuration to give access to the mountpoint: virsh edit DOMAIN_NAME Then add this filesystem configuration block inside the block: \n Save and (re)start the virtual machine. If you get this error: \"error: unsupported configuration: 'virtiofs' requires shared memory\", you might add this configuration section to the section. \n Then connect to the virtual machine and mount the filesystem: mount -t 9p -o trans=virtio scaphandre /var/scaphandre You can now run scaphandre to export the metrics with the exporter of your choice (here prometheus): scaphandre --vm prometheus Please refer to the qemu exporter reference for more details. Note: This how to is only suitable for a \"manual\" use case. For all automated systems like openstack or proxmox, some more work needs to be done to make the integration of those steps easier.","breadcrumbs":"Propagate power consumption metrics from hypervisor to virtual machines (Qemu/KVM) » How to","id":"20","title":"How to"},"21":{"body":"Now we'll see how to get valuable data in a dashboard. Let's say you want to track the power consumption of a given process or application in a dashboard and eventually set thresholds on it. WHat do you need to get that subset of the power consumption of the host visually ? You need basically 3 components for that: scaphandre running with the prometheus exporter prometheus grafana We'll say that you already have a running prometheus server and an available grafana instance and that you have added prometheus as a datasource in grafana. How to get metrics per process as you may see here ? The metric that I need from the prometheus exporter to do that is: scaph_process_power_consumption_microwatts. This metric is a wallet for the power consumption of all the running processes on the host at a given time. This is a prometheus metrics, so you have labels to filter on the processes you are interested in. Currently the available labels are: instance, exe, job and pid. If I want to get power consumption (in Watts) for all processes related to nginx running on a host with ip 10.0.0.9 I may use that query, in grafana, based on the prometheus datasource: scaph_process_power_consumption_microwatts{cmdline=~\".*nginx.*\", instance=\"10.0.0.9:8080\"} / 1000000 Here we assume that scaphandre/the prometheus exporter is running on port number 8080. Here is how it looks, creating a panel in grafana: Those labels are explained in much more detail here .","breadcrumbs":"Get process-level power consumption in my grafana dashboard » Get process-level power consumption in my grafana dashboard","id":"21","title":"Get process-level power consumption in my grafana dashboard"},"22":{"body":"","breadcrumbs":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 » Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9","id":"22","title":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9"},"23":{"body":"Scaphandre can be compiled with a limited set of features. You have the choice to only install Scaphandre with prometheus-push exporter (alongside with stdout and json exporters, which might be useful locally). RPM packages containing only those features are provided for RHEL 8 and 9 : RPM package for RHEL8 RPM package for RHEL9 You can download it and install it just providing the right URL to dnf : dnf install -y URL Then you'll probably need to change its configuration to target the appropriate Push Gateway server. Edit the configuration file : vi /etc/scaphandre/prometheuspush Default options look like : SCAPHANDRE_ARGS=\"prometheus-push -H localhost -S http\" Those are prometheus-push exporter CLI options. Run the executable to get the reference of the options : /usr/bin/scaphandre-prometheuspush --help A simple configuration to target Push Gateway reachable on https://myserver.mydomain:PORT and send data every 30 seconds would look like : SCAPHANDRE_ARGS=\"prometheus-push -H myserver.mydomain -S https -p PORT -s 30\" Once the configuration is changed, you can restart the service and ensure it is enabled as well for next reboot : systemctl restart scaphandre-prometheuspush && systemctl enable scaphandre-prometheuspush Configuration issues or issues to reach the push gateway should be visible in the logs : systemctl status scaphandre-prometheuspush","breadcrumbs":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 » Manual installation","id":"23","title":"Manual installation"},"24":{"body":"There is a sample Ansible playbook available in the automation/ansible folder of the project. This can be used this way : ansible-playbook -i inventory -b -u myunprivilegeduser -K install-configure-prometheuspush-rhel.yml Beware of the playbook parameters : rhel_version: 9\nscaphandre_version: \"dev0.5.10\"\npushgateway_host: localhost\npushgateway_scheme: http\npushgateway_port: 9092\nscaphandre_config_path: /etc/scaphandre/prometheuspush\nservice_name: scaphandre-prometheuspush Ensure to change those to match your context, including changing rhel version if needed (8 and 9 are supported) and parameters to reach the Push Gateway on the network.","breadcrumbs":"Install Scaphandre with only Prometheus-push exporter compiled, for Prometheus Push Gateway, on RHEL 8 and 9 » Automatic installation with ansible","id":"24","title":"Automatic installation with ansible"},"25":{"body":"This is true starting from Scaphandre >= 1.0. There are several metrics available at the host level in Scaphandre: scaph_host_power_microwatts : always returned, computed from Record structs made from scaph_host_energy_microjoules metric scaph_host_energy_microjoules : always returned, either one value or a sum of values coming directly from RAPL counters (energy_uj files or direct read from an MSR) scaph_host_rapl_psys_microjoules : is available only when the PSYS RAPL domain is available on the machine. In addition to those metrics, you might want to build, on your time series database, the sum of process_ metrics to have a view of the weight of all processes on the host power. Using Prometheus, it would look like: sum(scaph_process_power_consumption_microwatts{hostname=\"$hostname\"}) / 1000000, to get it in Watts. Let's explain the relationship between those metrics, and what you could expect. host_power metric will return : If PSYS domain is available, a computed power coming from PSYS energy records If not, a computed power which is the sum of per-socket power (PKG RAPL domain) + DRAM RAPL domain power Briefly explained (see RAPL domains for detailled explanations), PSYS covers most components on the machine (\"all components connected to the SoC / motherboard\" according to most documentations), so we return this wider ranged metric when available. If not we use a combination of PKG domain, that includes CPU and integrated GPU power, and DRAM domain, that includes memory power. The first options gives higher figures than the second, for now. Suming the power of all processes, if the machine is mostly IDLE, you'll get a tiny percentage of the host machine, most likely. The difference between host power and the sum of processes power can be accounted as \"power due to IDLE activity\", in other words the power your machine demands for \"doing nothing\". The higher this difference on a long period of time (better seen as a graph), the higher chance that there is room for improvement in moving the workloads to another machine and shut the current machine down (and make it available for another project or to another organization to prevent from buying a new machine). Warning: that being said, the way per-process power is computed is still biased and shall be improved in the following versions of Scaphandre. For now, the main key for allocation is CPU time. As host level power metrics include power usage of more and more components on the machine (work in progress) this allocation key will be more and more inaccurate. Future versions of this allocation model should include keys regarding the activity of other components than CPU. Enabling a better set of allocation keys for per-process power is part of the roadmap .","breadcrumbs":"Explanations about host level power and energy metrics » Explanations about host level power and energy metrics.","id":"25","title":"Explanations about host level power and energy metrics."},"26":{"body":"Scaphandre is a tool that makes it possible to see the power being used by a single process on a computer. This sounds like a simple thing thing to be able to do, but in practice a number of details can make this more complex. So having a good mental model of how it works will make it easier to understand when and how to use Scaphandre. Let's start with a simplified mental model below, before moving on to multiple processors or virtual machines - but once you understand the key ideas outlined below, it's easier to see how they can be applied to thinking about tracking power on virtual machines, or when multiple processors are available. How a computer works on multiple jobs at the same time When we first think about how much energy a single process running in a computer might use, we might start with a mental model that looks like the figure below, with large, uninterrupted chunks of compute time allocated to each process. This is easy to understand, and it matches how we might be billed for a share of a larger machine when paying for cloud services. what scaphandre does - per process power usage Timesharing of work However, if the reality was exactly like this diagram, our computers would only ever be able to do one thing at a time. It's more accurate and helpful to think of computers working on lots of different jobs at the same time - they work on one job for short interval of time, then another, and another and so one. You'll often see these small intervals of time referred to as jiffies . work on jobs is split into jiffies In a given amount of time, some jobs that are prioritized or more resource intensive will use more jiffies than others. Fortunately, each job keeps a running total of the total jiffies allocated to it, so if we know how many jiffies have been used in total, it can give us an idea how much of a machine's resources are being used by a given process. work on jobs is split into jiffies Going from share of resources to actual power figures It's possible without Scaphandre to understand how large a share of a machines' resources are being used by a given process. This is useful, by itself, but if we want to understand how much power is used per process, not just the share of the machine's resources, we need to know how much power is being used by the machine in absolute terms. To do this, we need a sensor of some kind to track power usage by the machine itself. Some servers have these, like with Intel's RAPL sensors, which we cover this in more detail later on. This makes it possible to understand how much power is being used by CPUs, GPUs and so on, in terms of watts, or, if we are looking at just a single process, various fractions of a watt. Sensors provide power over time To understand the power used by a single process we combine both of these ideas. We count the jiffies used by our job when it's being worked on, and for each jiffy, we check how much power is being drawn at those moments in time. Combined we can see how much the power during 'our' jiffies Finally, when we group together all the power readings for all our jiffies over a given time period, we can arrive at a usable figure for how much power has been used, in terms of watt hours. Once we have a figure in terms of watt hours, there are various ways we can convert this to environmental impact. A common way is to use an emission factor for the electricity used, to turn the power consumption data into an estimate of associated carbon emissions. Combined we can see how much the power during 'our' jiffies Working with virtualisation and multiple processors While the reality is again more complicated than the diagram below, the same ideas broadly apply when you introduce multiple processors too. If you are able to read from sensors that can share how much power is being used by the various processors at work, and know how much of the time is being allocated to our processes during those moments, you can get a good idea of what these figures are, at a per-process level. Seeing this with multiple processors Things get a bit more complicated with virtualised environments, because in many cases, virtual machines only have a partial view of the system they are part of, and frequently do not have access to any power usage figures from the host physical machine. However, if a guest virtual machine or guest container does have access to readings provided by the host physical machine, it is possible to work out the same kinds of per-process power figures. Scaphandre supports exposing these kinds of power readings to virtual machines and containers, which means, if you are running on infrastructure that is running scaphandre and exposing these readings, you can see these figures for the energy used by your own processes.","breadcrumbs":"How scaphandre computes per process power consumption » How scaphandre computes per process power consumption","id":"26","title":"How scaphandre computes per process power consumption"},"27":{"body":"As you can see with the prometheus exporter reference , scaphandre exporters can provide process level power consumption metrics. This section will explain how it is done and how it may be improved in the future.","breadcrumbs":"How scaphandre computes per process power consumption » More details about how Scaphandre works","id":"27","title":"More details about how Scaphandre works"},"28":{"body":"We'll talk here about the case where scaphandre is able to effectively measure the power consumption of the host (see compatibility section for more on sensors and their prerequisites) and specifically about the PowercapRAPL sensor. Let's clarify what's happening when you collect metrics with scaphandre and the RAPL sensor. RAPL stands for Running Average Power Limit . It's a technology embedded in most Intel and AMD x86 CPUs produced after 2012. Thanks to this technology it is possible to get the total energy consumption of the CPU, of the consumption per CPU socket, plus in some cases, the consumption of the DRAM controller. In most cases it represents the vast majority of the energy consumption of the machine (except when running GPU intensive workloads, for example). Further improvements shall be made in scaphandre to fully measure the consumption when GPU are involved (or a lot of hard drives on the same host...). Between scaphandre and this data is the powercap kernel module that writes the energy consumption to files. Scaphandre reads those files, stores the data in buffers and then allows for more processing through the exporters. How to get the consumption of one process ? The PowercapRAPL sensor does actually more than just collecting those energy consumption metrics (and converting them to power consumption metrics). Every time the exporter asks for a measurement (either periodically like in the Stdout exporter, or every time a request comes as would be the case for the Prometheus exporter) the sensor reads the values of the energy counters from powercap. It then stores those values, and does the same for the CPU usage statistics of the CPU (the one you can see in /proc/stats) and for each running process on the machine at that time (see /proc/PID/stats). With this data it is possible to compute the ratio of CPU time actively spent for a given PID on the CPU time actively spent doing something. With this ratio we can then get the subset of power consumption that is related to that PID on a given timeframe (between two measurement requests). How to get the consumption of an application/a service ? Services and programs are often not running on only one PID. It's needed to aggregate the consumption of all related PIDs to know what this service is actually consuming. To do that, in the current state of scaphandre development, you can use the Prometheus exporter, and then use Prometheus and its query language capabilities. You'll find examples looking at the graphs and queries here . In a near future, more advanced features may be implemented in scaphandre to allow such classification even if you don't have access to a proper Time Series database (TSDB) .","breadcrumbs":"How scaphandre computes per process power consumption » Some details about RAPL","id":"28","title":"Some details about RAPL"},"29":{"body":"Scaphandre is designed to be extensible. As it performs basically two tasks: collecting /pre-computing the power consumption metrics and publishing it, it is composed of two main components: a sensor and an exporter . Each can be implemented in different ways to match a certain use case. When you run scaphandre from the command line, -s allows you to choose the sensor you want to use, and the next subcommand is the name of the exporter.","breadcrumbs":"Internal structure » Internal structure","id":"29","title":"Internal structure"},"3":{"body":"Here we are using the stdout exporter to print current power consumption usage in the terminal during 15 seconds. You should get an output like: Host:\t9.391334 W\tCore Uncore DRAM\nSocket0\t9.392 W\t1.497082 W\nTop 5 consumers:\nPower\tPID\tExe\n4.808363 W\t642\t\"/usr/sbin/dockerd\"\n4.808363 W\t703\t\"/usr/bin/docker-containerd\"\n4.808363 W\t1028\t\"/usr/local/bin/redis-server\"\n0 W\t1\t\"/usr/lib/systemd/systemd\"\n0 W\t2\t\"\"\n------------------------------------------------------------ Let's briefly describe what you see here. First Line is the power consumption of the machine (between the two last measurements). Second line is the power consumption of the first CPU socket plus the detail by RAPL Domain. If you have more than one CPU Socket, you'll have multiple SocketX lines. Then you have the 5 processes consuming the most power during the last two measurements. If you don't get this output and get an error, jump to the Troubleshooting section of the documentation.","breadcrumbs":"Getting Started » Output","id":"3","title":"Output"},"30":{"body":"Sensors are meant to: get the power consumptions metrics of the host make it available for the exporter The PowercapRAPL for instance, gets and transforms metrics coming from the powercap Linux kernel module, that serves as an interface to get the data from the RAPL feature of x86 CPUs. Because this feature is only accessible when you are running on a bare metal machine, this sensor will not work in a virtual machine, except if you first run scaphandre on the hypervisor and make the VM metrics available, with the qemu exporter , to scaphandre running inside the virtual machine. When you don't have access to the hypervisor/bare-metal machine (ie. when you run on public cloud instances and your provider doesn't run scaphandre) you still have the option to estimate the power consumption, based on both the ressources (cpu/gpu/ram/io...) consumed by the virtual machine at a given time, and the characteristics of the underlying hardware. This is the way we are designing the future estimation-based sensor , to match that use case. Looking at the code, you'll find that the interface between metrics and the exporters is in fact the Topology object. This is intended to be asked by the exporter through the get_topology method of the sensor.","breadcrumbs":"Internal structure » Sensors","id":"30","title":"Sensors"},"31":{"body":"An exporter is expected to: ask the sensors to get new metrics and store them for later, potential usage export the current metrics The Stdout exporter exposes the metrics on the standard output (in your terminal). The prometheus exporter exposes the metrics on an HTTP endpoint, to be scraped by a prometheus instance. An exporter should be created for each monitoring scenario (do you want to feed your favorite monitoring/data analysis tool with scaphandre metrics ? feel free to open a PR to create a new exporter !). As introduced in the sensors section, the Qemu exporter, is very specific. It is only intended to collect metrics related to running virtual machines on a Qemu/KVM hypervisor. Those metrics can then be made available to each virtual machine and their own scaphandre instance, running the PowercapRAPL sensor (with the --vm flag on). The qemu exporter puts VM's metrics in files the same way the powercap kernel module does it. It mimics this behavior, so the sensor can act the same way it would on a bare metal machine.","breadcrumbs":"Internal structure » Exporters","id":"31","title":"Exporters"},"32":{"body":"There are several ways scaphandre can interact with containers. You may run scaphandre in a container , to not have to manage the dependencies, then measure the power consumption of the bare metal host . This is described in the quickstart tutorial . Note that you need to expose /sys/class/powercap and /proc as volumes in the container to allow scaphandre to get the relevant metrics from the bare metal host. Scaphandre may help you measure the power consumption of containers running on a given host. You can already get to that goal using the tips provided in the howto section called \"Get process level power consumption\" . It may still require some tweaking and inventiveness from you in making the approriate queries to your favorite TSDB. This should be made easier by the upcoming scaphandre features . Another use case scenario is measuring the power consumption of a container orchestrator (like kubernetes ), its nodes and the containers and applications running on it. Scaphandre can be installed on Kubernetes via the Helm chart and there is a tutorial for installing it along with Prometheus and Grafana to view the metrics. As described here , scaphandre provides several ways ( sensors ) to collect the power consumption metrics. Depending on your use case a sensor should be more suitable than the other. Each of them comes with strengths and weaknesses. This is basically always a tradeoff between precision and simplicity. This is especially true if you run a container-based workloads on public cloud instances. We are working to provide a solution for that as well .","breadcrumbs":"About containers » About containers","id":"32","title":"About containers"},"33":{"body":"RAPL stands for \"Running Average Power Limit\", it is a feature on Intel/AMD x86 CPU's (manufactured after 2012) that allows to set limits on power used by the CPU and other components. This feature also allows to just get \"measurements\" (mind the double quotes, as at least part of the numbers RAPL gives are coming from estimations/modeling) of components power usage. RAPL domains It is composed of \"domains\", that, in 2023, may include: Core/PP0 : Energy consumed by the CPU Cores themselves. Uncore/PP1 : Energy consumed by components close to the CPU : most of the time it means the embedded GPU chipset. Dram : Energy consumed by the memory/RAM sticks Package/PKG : Includes \"Core\" and \"Uncore\". In some documentations and in some of our experiments it seem to include \"Dram\", but this doesn't seem true in every cases. PSys : We don't have a clear understanding on this one (yet). But most documentations refer to it with words similar to \"PSys: (introduced with Intel Skylake) monitors and controls the thermal and power specifications of the entire SoC and it is useful especially when the source of the power consumption is neither the CPU nor the GPU. For multi-socket server systems, each socket reports its own RAPL values.\". To summarize, Psys seems like an interesting metric to get energy consumed by a motherboard and connected components (which includes RAPL usual suspects but also WiFi/Bluetooth cards and probably more). If you want to know more about this metric, we gathered references/sources here . If you want to help us understanding and documenting better this metric, please consider constributing to the Energizta project . RAPL documentation from Intel doesn't necessarily give very precise informations about how RAPL behaves depending on the platform, or about what is included in the calculation. Actively looking for other experimentations/feedbacks/documentations is needed. You might find some informations gathered here: awesome-energy . If you have more or more precise informations and are willing to contribute, don't hesitate to open a PR to dev branch on scaphandre's repository (targeting docs_src folder ) and/or the awesome-energy repository. If you want to know if RAPL is supported by your CPU, please have a look to the end of the Compatibility section.","breadcrumbs":"About RAPL domains » Explanation on RAPL / Running Average Power Limit domains: what we (think we) know so far","id":"33","title":"Explanation on RAPL / Running Average Power Limit domains: what we (think we) know so far"},"34":{"body":"With Stdout exporter, you can see all metrics available on your machine with flag --raw-metrics. With prometheus exporter, all metrics have a HELP section provided on /metrics (or whatever suffix you choosed to expose them). Here are some key metrics that you will most probably be interested in: scaph_host_power_microwatts: Aggregation of several measurements to give a try on the power usage of the the whole host, in microwatts (GAUGE). It might be the same as RAPL PSYS (see RAPL domains ) measurement if available, or a combination of RAPL PKG and DRAM domains + an estimation of other hardware componentes power usage. scaph_process_power_consumption_microwatts{exe=\"$PROCESS_EXE\",pid=\"$PROCESS_PID\",cmdline=\"path/to/exe --and-maybe-options\"}: Power consumption due to the process, measured on at the topology level, in microwatts. PROCESS_EXE being the name of the executable and PROCESS_PID being the pid of the process. (GAUGE) For more details on that metric labels, see this section . And some more deep metrics that you may want if you need to make more complex calculations and data processing: scaph_host_energy_microjoules : Energy measurement for the whole host, as extracted from the sensor, in microjoules. (COUNTER) scaph_socket_power_microwatts{socket_id=\"$SOCKET_ID\"}: Power measurement relative to a CPU socket, in microwatts. SOCKET_ID being the socket numerical id (GAUGE) If your machine provides RAPL PSYS domain (see RAPL domains ), you can get the raw energy counter for PSYS/platform with scaph_host_rapl_psys_microjoules. Note that scaph_host_power_microwatts is based on this PSYS counter if it is available. Since 1.0.0 the following host metrics are availalable as well ; scaph_host_swap_total_bytes: Total swap space on the host, in bytes. scaph_host_swap_free_bytes: Swap space free to be used on the host, in bytes. scaph_host_memory_free_bytes: Random Access Memory free to be used (not reused) on the host, in bytes. scaph_host_memory_available_bytes: Random Access Memory available to be re-used on the host, in bytes. scaph_host_memory_total_bytes: Random Access Memory installed on the host, in bytes. scaph_host_disk_total_bytes: Total disk size, in bytes. scaph_host_disk_available_bytes: Available disk space, in bytes. Disk metrics have the following labels : disk_file_system, disk_is_removable, disk_type, disk_mount_point, disk_name scaph_host_cpu_frequency: Global frequency of all the cpus. In MegaHertz scaph_host_load_avg_fifteen: Load average on 15 minutes. scaph_host_load_avg_five: Load average on 5 minutes. scaph_host_load_avg_one: Load average on 1 minute. If you hack scaph or just want to investigate its behavior, you may be interested in some internal metrics: scaph_self_memory_bytes: Scaphandre memory usage, in bytes scaph_self_memory_virtual_bytes: Scaphandre virtual memory usage, in bytes scaph_self_topo_stats_nb: Number of CPUStat traces stored for the host scaph_self_topo_records_nb: Number of energy consumption Records stored for the host scaph_self_topo_procs_nb: Number of processes monitored by scaph scaph_self_socket_stats_nb{socket_id=\"SOCKET_ID\"}: Number of CPUStat traces stored for each socket scaph_self_socket_records_nb{socket_id=\"SOCKET_ID\"}: Number of energy consumption Records stored for each socket, with SOCKET_ID being the id of the socket measured scaph_self_domain_records_nb{socket_id=\"SOCKET_ID\",rapl_domain_name=\"RAPL_DOMAIN_NAME \"}: Number of energy consumption Records stored for a Domain, where SOCKET_ID identifies the socket and RAPL_DOMAIN_NAME identifies the rapl domain measured on that socket Getting per process data with scaph_process_* metrics Here are available labels for the scaph_process_power_consumption_microwatts metric that you may need to extract the data you need: exe: is the name of the executable that is the origin of that process. This is good to be used when your application is running one or only a few processes. cmdline: this contains the whole command line with the executable path and its parameters (concatenated). You can filter on this label by using prometheus =~ operator to match a regular expression pattern. This is very practical in many situations. instance: this is a prometheus generated label to enable you to filter the metrics by the originating host. This is very useful when you monitor distributed services, so that you can not only sum the metrics for the same service on the different hosts but also see what instance of that service is consuming the most, or notice differences beteween hosts that may not have the same hardware, and so on... pid: is the process id, which is useful if you want to track a specific process and have your eyes on what's happening on the host, but not so practical to use in a more general use case Since 1.0.0 the following per-process metrics are available as well : scaph_process_cpu_usage_percentage: CPU time consumed by the process, as a percentage of the capacity of all the CPU Cores scaph_process_memory_bytes: Physical RAM usage by the process, in bytes scaph_process_memory_virtual_bytes: Virtual RAM usage by the process, in bytes scaph_process_disk_total_write_bytes: Total data written on disk by the process, in bytes scaph_process_disk_write_bytes: Data written on disk by the process, in bytes scaph_process_disk_read_bytes: Data read on disk by the process, in bytes scaph_process_disk_total_read_bytes: Total data read on disk by the process, in bytes Get container-specific labels on scaph_process_* metrics The flag --containers enables Scaphandre to collect data about the running Docker containers or Kubernetes pods on the local machine. This way, it adds specific labels to make filtering processes power consumption metrics by their encapsulation in containers easier. Generic labels help to identify the container runtime and scheduler used (based on the content of /proc/PID/cgroup): container_scheduler: possible values are docker or kubernetes. If this label is not attached to the metric, it means that scaphandre didn't manage to identify the container scheduler based on cgroups data. Then the label container_runtime could be attached. The only possible value for now is containerd. container_id is the ID scaphandre got from /proc/PID/cgroup for that container. For Docker containers (if container_scheduler is set), available labels are : container_names: is a string containing names attached to that container, according to the docker daemon container_docker_version: version of the docker daemon container_label_maintainer: content of the maintainer field for this container For containers coming from a docker-compose file, there are a bunch of labels related to data coming from the docker daemon: container_label_com_docker_compose_project_working_dir container_label_com_docker_compose_container_number container_label_com_docker_compose_project_config_files container_label_com_docker_compose_version container_label_com_docker_compose_service container_label_com_docker_compose_oneoff For Kubernetes pods (if container_scheduler is set), available labels are : kubernetes_node_name: identifies the name of the kubernetes node scaphandre is running on kubernetes_pod_name: the name of the pod the container belongs to kubernetes_pod_namespace: the namespace of the pod the container belongs to","breadcrumbs":"Metrics available » Metrics exposed by Scaphandre","id":"34","title":"Metrics exposed by Scaphandre"},"35":{"body":"","breadcrumbs":"JSON exporter » JSON exporter","id":"35","title":"JSON exporter"},"36":{"body":"You can launch the JSON exporter this way (running the default powercap_rapl sensor): scaphandre json Default behavior is to measure and show metrics periodically during 10 seconds. You can change that timeout with -t. Here is how to display metrics during one minute: scaphandre json -t 60 You can change as well the step measure duration with -s. Here is how to display metrics during one minutes with a 5s step: scaphandre json -t 60 -s 5 If you want a faster interval you can use option -n (for nano seconds). Here is how to display metrics during 10s with a 100ms step: scaphandre json -t 10 -s 0 -n 100000000 By default, JSON is printed in the terminal, to write result in a file you can provide a path with option -f: scaphandre json -t 10 -s 0 -n 100000000 -f report.json To get informations about processes that are running in containers, add --containers: scaphandre --no-header json --containers --max-top-consumers=15 | jq Since 1.0.0 you can filter the processes, either by their process name with --process-regex, or by the name of the container they run in with --container-regex (needs the flag --containers to be active as well). As always exporter's options can be displayed with -h: Write the metrics in the JSON format to a file or to stdout Usage: scaphandre json [OPTIONS] Options: -t, --timeout Maximum time spent measuring, in seconds. If unspecified, runs forever -s, --step Interval between two measurements, in seconds [default: 2] --step-nano Additional step duration in _nano_ seconds. This is added to `step` to get the final duration [default: 0] --max-top-consumers Maximum number of processes to watch [default: 10] -f, --file Destination file for the report (if absent, print the report to stdout) --containers Monitor and apply labels for processes running as containers --process-regex Filter processes based on regular expressions (example: 'scaph\\\\w\\\\w.e') --container-regex Filter containers based on regular expressions --resources Monitor and incude CPU, RAM and Disk usage per process -h, --help Print help Metrics provided Scaphandre are documented here .","breadcrumbs":"JSON exporter » Usage","id":"36","title":"Usage"},"37":{"body":"","breadcrumbs":"Prometheus exporter » Prometheus exporter","id":"37","title":"Prometheus exporter"},"38":{"body":"You can launch the prometheus exporter this way (running the default powercap_rapl sensor): scaphandre prometheus As always exporter's options can be displayed with -h: scaphandre prometheus -h scaphandre-prometheus Prometheus exporter exposes power consumption metrics on an http endpoint (/metrics is default) in prometheus accepted format USAGE: scaphandre prometheus [FLAGS] [OPTIONS] FLAGS: --containers Monitor and apply labels for processes running as containers -h, --help Prints help information -q, --qemu Instruct that scaphandre is running on an hypervisor -V, --version Prints version information OPTIONS: -a, --address

    + +

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    • First building blocks for conditional compilation depending on the OS : #148
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    • Mitigation for machines where powercap is not able to feed rapl domain folders, and only has socket ones : #198
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    • Experimental support for Windows 10, 11, server 2019 : #74 and #247
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    • Kubernetes pods using containerd are now supported : #130, thanks to @rossf7
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    • Excluded unrelevant procfs metrics from calculation of cpu cycles consumed by processes : #132
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    • Mitigated possible decrepancies between host (rapl) total power usage metric and the sum of per-process power usage metrics : #20, note that some issues show remaining issues on this topic. Further investigation and work needed.
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    • Documentation fix for helm install : #136, thanks to @arthurzenika
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    • New helm chart values: arguments and backtrace : #139, thanks to @jotak
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    • Some documentation typos : #157, thanks to @metacosm
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    • Aligning on new clippy rules : #162, thanks to @demeringo
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    • Support kubelets using systemd cgroup driver: #146, thanks to @rossf7
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    • Fix missing volume in psp (helm chart): #168, thanks to @olevitt
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    • Spelling check in documentation : #183, thanks to @irishgordo
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    • Updated k8s-sync crate to 0.2.3 to get authentication by token feature
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    +]]>    Scaphandre v0.3.0http://127.0.0.1:7979/scaphandre/changelog/v0.3.0scaphandre Changeloghttp://127.0.0.1:7979/scaphandre/changelog/v0.3.0Added +
      +
    • New MetricGenerator and Metric structs and helper functions to make writing exporters easier. Riemann and Prometheus exporters now share the same code pattern: #79 thanks @uggla !
      • +
    • New Warp10 exporter ! #76
      • +
    • Updated riemann_client and protobuf crates dependencies #70 thanks @uggla !
      • +
    • Successfully tested on AMD CPUs (AMD Ryzen 5 2600X): #55 (requires a kernel 5.11 or later) thanks @barnumbirr and @kamaradclimber !
      • +
    • Scaphandre can now be tested locally thanks to a docker-compose stack ! #61 thanks @PierreRust !
      • +
    • Added a CITATION file for references: #95 thanks @tstrempel !
      • +
    +

    Fixed

    +
      +
    • Allowing scaphandre to run even if intel_rapl modules are not found: #65 (needed to run scaphandre on AMD CPUs)
      • +
    • Fixed typos and lacks in the documentation: #81, #77, #80 thanks @pierreozoux, @LudovicRousseau, @maethor, @wallet77
      • +
    • Moved documentation output to another repository: #94 (documentation is now available here: https://hubblo-org.github.io/scaphandre-documentation)
      • +
    • Json exporter has been refactored: #87 thanks @jdrouet !
      • +
    +]]>    Scaphandre v0.2.0http://127.0.0.1:7979/scaphandre/changelog/v0.2.0scaphandre Changeloghttp://127.0.0.1:7979/scaphandre/changelog/v0.2.0Added +
      +
    • Docker image (hubblo/scaphandre), ubuntu based: #48, thanks @rossf7
      • +
    • Helm chart to run scaphandre as a DaemonSet in a kubernetes cluster: #72 - thanks @rossf7
      • +
    • JsonExporter, to get metrics in JSON either in stdout or files: #68 - thanks @wallet77
      • +
    • RiemannExporter, to send metrics to Riemann monitoring tool: #58 - thanks @uggla
      • +
    • --qemu flag on PrometheusExporter, to add a "vmname" label to metrics related to processes that represent qemu-kvm virtual machines: #41 - thanks @uggla
      • +
    • Better documentation structure (based on divio's documentation framework and mdbook): #45, result here: https://hubblo-org.github.io/scaphandre-documentation/
      • +
    • Automated CI tests including cargo test --all, running on a (bare metal) machine: #62
      • +
    +

    Fixed

    +
      +
    • Improved QemuExporter documentation: #42 - thanks @uggla
      • +
    +]]>    Scaphandre v0.1.1http://127.0.0.1:7979/scaphandre/changelog/v0.1.1scaphandre Changeloghttp://127.0.0.1:7979/scaphandre/changelog/v0.1.1Added +
      +
    • -s, --step option added by @Uggla, to specify time step between two measurements, when using StdoutExporter
      • +
    +

    Removed

    +
      +
    • removed energy_records_to_power_record function from src/sensors/mod.rs. get_records_diff_power_microwatts functions from Topology and CPUSocket should be used instead
      • +
    +

    Fixed

    +
      +
    • README typos and misusage of english fixed by @Uggla and @florimondmanca
      • +
    • @Uggla made init.sh script more robust
      • +
    • cleaning of internal structs (records, cpustat, processes) was buggy, it is fixed
      • +
    • linux kernels < 5, on intel CPUs (>2012) may me measurable now (fixed kernel modules names check)
      • +
    +]]>    Scaphandre v0.1.0http://127.0.0.1:7979/scaphandre/changelog/v0.1.0scaphandre Changeloghttp://127.0.0.1:7979/scaphandre/changelog/v0.1.0Added +
      +
    • Exporters and sensors design.
      • +
    • Stdout exporter.
      • +
    • Prometheus exporter.
      • +
    • Powercap_rapl sensor.
      • +
    • Qemu exporter.
      • +
    +]]>     \ No newline at end of file diff --git a/changelog/index.html b/changelog/index.html new file mode 100644 index 00000000..8569485d --- /dev/null +++ b/changelog/index.html @@ -0,0 +1,530 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    + Releases + + + + + + +

    +
    + + +
    + + +
    +

    + + + Scaphandre v1.0.0 + + +

    +
    + + + + + v1.0.0 + + + + + Feb 12 2024 at 13:48 UTC + + +
    +
    +

    Added

    + +

    Changed

    + +

    Fixed

    + + +
    +
    + + +
    +

    + + + Scaphandre v0.5.0 + + +

    +
    + + + + + v0.5.0 + + + + + Jan 30 2023 at 11:52 UTC + + +
    +
    +

    Changed

    +
      +
    • Upgraded procfs to 0.12 : #144
      • +
    • Rollbacked to ubuntu 20.04 as the base docker image : #151, thanks to @demeringo
      • +
    • Using github action to tag docker image : #160, thanks to @rossf7
      • +
    +

    Added

    +
      +
    • New level of abstraction regarding structs managed by Sensors, so we could implement more sensors in an easier way : #149
      • +
    • Enable JSON exporter to run as a daemon : #169
      • +
    • First building blocks for conditional compilation depending on the OS : #148
      • +
    • Mitigation for machines where powercap is not able to feed rapl domain folders, and only has socket ones : #198
      • +
    • Experimental support for Windows 10, 11, server 2019 : #74 and #247
      • +
    • Added --containers option to JSON exporter : #217
      • +
    +

    Fixed

    +
      +
    • Kubernetes pods using containerd are now supported : #130, thanks to @rossf7
      • +
    • Excluded unrelevant procfs metrics from calculation of cpu cycles consumed by processes : #132
      • +
    • Mitigated possible decrepancies between host (rapl) total power usage metric and the sum of per-process power usage metrics : #20, note that some issues show remaining issues on this topic. Further investigation and work needed.
      • +
    • Documentation fix for helm install : #136, thanks to @arthurzenika
      • +
    • New helm chart values: arguments and backtrace : #139, thanks to @jotak
      • +
    • Some documentation typos : #157, thanks to @metacosm
      • +
    • Aligning on new clippy rules : #162, thanks to @demeringo
      • +
    • Always set last pods check timestamp : #173, thanks to @rossf7
      • +
    • Support kubelets using systemd cgroup driver: #146, thanks to @rossf7
      • +
    • Fix missing volume in psp (helm chart): #168, thanks to @olevitt
      • +
    • Spelling check in documentation : #183, thanks to @irishgordo
      • +
    • No more duplicated HELP and TYPE lines in prometheus exporter: #165 and #192
      • +
    • Escaping newlines in cmdline: #175, thanks to @uggla
      • +
    + +
    +
    + + +
    +

    + + + Scaphandre v0.4.1 + + +

    +
    + + + + + v0.4.1 + + + + + Oct 5 2021 at 15:31 UTC + + +
    +
    +

    Changed

    +
      +
    • Updated k8s-sync crate to 0.2.3 to get authentication by token feature
      • +
    + +
    +
    + + +
    +

    + + + Scaphandre v0.4.0 + + +

    +
    + + + + + v0.4.0 + + + + + Oct 5 2021 at 10:46 UTC + + +
    +
    +

    Added

    +
      +
    • Riemann exporter now supports mTLS: #103 thanks @uggla !
      • +
    • --containers option, in prometheus exporter, tells scaphandre to add labels to metrics related to a docker container or a kubernetes pod, to make getting metrics of a distributed application easier: #84 thanks @rossf7 for the tests, feedbacks, helm configuration and thanks @uggla for the reviews !
      • +
    • stdout exporter now allows to choose the number of processes to watch, with the --process-number flag and to filter processes watched thanks to a regex, with the --regex-filter option: #98, thanks @uggla !
      • +
    • MetricGenerator includes timestamp in Metrics now : #113
      • +
    +

    Fixed

    +
      +
    • Added Cargo.lock to the repository: #111
      • +
    • Ensured domains names are feteched properly in any case : #114 thanks @PierreRust !
      • +
    +

    Changed

    +
      +
    • Manipulating flags as a Vec of clap::Arg instead of a HashMap of ExporterOption in exporters: #100, thanks @uggla !
      • +
    • Json and Stdout exporters are now using MetricGenerator as an inteface to get metrics properly : #113
      • +
    + +
    +
    + + +
    +

    + + + Scaphandre v0.3.0 + + +

    +
    + + + + + v0.3.0 + + + + + Apr 13 2021 at 08:23 UTC + + +
    +
    +

    Added

    +
      +
    • New MetricGenerator and Metric structs and helper functions to make writing exporters easier. Riemann and Prometheus exporters now share the same code pattern: #79 thanks @uggla !
      • +
    • New Warp10 exporter ! #76
      • +
    • Updated riemann_client and protobuf crates dependencies #70 thanks @uggla !
      • +
    • Successfully tested on AMD CPUs (AMD Ryzen 5 2600X): #55 (requires a kernel 5.11 or later) thanks @barnumbirr and @kamaradclimber !
      • +
    • Scaphandre can now be tested locally thanks to a docker-compose stack ! #61 thanks @PierreRust !
      • +
    • Added a CITATION file for references: #95 thanks @tstrempel !
      • +
    +

    Fixed

    +
      +
    • Allowing scaphandre to run even if intel_rapl modules are not found: #65 (needed to run scaphandre on AMD CPUs)
      • +
    • Fixed typos and lacks in the documentation: #81, #77, #80 thanks @pierreozoux, @LudovicRousseau, @maethor, @wallet77
      • +
    • Moved documentation output to another repository: #94 (documentation is now available here: https://hubblo-org.github.io/scaphandre-documentation)
      • +
    • Json exporter has been refactored: #87 thanks @jdrouet !
      • +
    + +
    +
    + + +
    +

    + + + Scaphandre v0.2.0 + + +

    +
    + + + + + v0.2.0 + + + + + Feb 12 2021 at 16:26 UTC + + +
    +
    +

    Added

    +
      +
    • Docker image (hubblo/scaphandre), ubuntu based: #48, thanks @rossf7
      • +
    • Helm chart to run scaphandre as a DaemonSet in a kubernetes cluster: #72 - thanks @rossf7
      • +
    • JsonExporter, to get metrics in JSON either in stdout or files: #68 - thanks @wallet77
      • +
    • RiemannExporter, to send metrics to Riemann monitoring tool: #58 - thanks @uggla
      • +
    • --qemu flag on PrometheusExporter, to add a "vmname" label to metrics related to processes that represent qemu-kvm virtual machines: #41 - thanks @uggla
      • +
    • Better documentation structure (based on divio's documentation framework and mdbook): #45, result here: https://hubblo-org.github.io/scaphandre-documentation/
      • +
    • Automated CI tests including cargo test --all, running on a (bare metal) machine: #62
      • +
    +

    Fixed

    +
      +
    • Improved QemuExporter documentation: #42 - thanks @uggla
      • +
    + +
    +
    + + +
    +

    + + + Scaphandre v0.1.1 + + +

    +
    + + + + + v0.1.1 + + + + + Dec 22 2020 at 15:44 UTC + + +
    +
    +

    Added

    +
      +
    • -s, --step option added by @Uggla, to specify time step between two measurements, when using StdoutExporter
      • +
    +

    Removed

    +
      +
    • removed energy_records_to_power_record function from src/sensors/mod.rs. get_records_diff_power_microwatts functions from Topology and CPUSocket should be used instead
      • +
    +

    Fixed

    +
      +
    • README typos and misusage of english fixed by @Uggla and @florimondmanca
      • +
    • @Uggla made init.sh script more robust
      • +
    • cleaning of internal structs (records, cpustat, processes) was buggy, it is fixed
      • +
    • linux kernels < 5, on intel CPUs (>2012) may me measurable now (fixed kernel modules names check)
      • +
    + +
    +
    + + + + +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + + + \ No newline at end of file diff --git a/changelog/v0.1.0/index.html b/changelog/v0.1.0/index.html new file mode 100644 index 00000000..87bbeed8 --- /dev/null +++ b/changelog/v0.1.0/index.html @@ -0,0 +1,133 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.1.0

    +
    + + +
    + +
    + + + + + v0.1.0 + + + + + Dec 8 2020 at 13:53 UTC + + +
    +
    +

    Added

    +
      +
    • Exporters and sensors design.
      • +
    • Stdout exporter.
      • +
    • Prometheus exporter.
      • +
    • Powercap_rapl sensor.
      • +
    • Qemu exporter.
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v0.1.1/index.html b/changelog/v0.1.1/index.html new file mode 100644 index 00000000..8303d458 --- /dev/null +++ b/changelog/v0.1.1/index.html @@ -0,0 +1,140 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.1.1

    +
    + + +
    + +
    + + + + + v0.1.1 + + + + + Dec 22 2020 at 15:44 UTC + + +
    +
    +

    Added

    +
      +
    • -s, --step option added by @Uggla, to specify time step between two measurements, when using StdoutExporter
      • +
    +

    Removed

    +
      +
    • removed energy_records_to_power_record function from src/sensors/mod.rs. get_records_diff_power_microwatts functions from Topology and CPUSocket should be used instead
      • +
    +

    Fixed

    +
      +
    • README typos and misusage of english fixed by @Uggla and @florimondmanca
      • +
    • @Uggla made init.sh script more robust
      • +
    • cleaning of internal structs (records, cpustat, processes) was buggy, it is fixed
      • +
    • linux kernels < 5, on intel CPUs (>2012) may me measurable now (fixed kernel modules names check)
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v0.2.0/index.html b/changelog/v0.2.0/index.html new file mode 100644 index 00000000..79bb1550 --- /dev/null +++ b/changelog/v0.2.0/index.html @@ -0,0 +1,139 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.2.0

    +
    + + +
    + +
    + + + + + v0.2.0 + + + + + Feb 12 2021 at 16:26 UTC + + +
    +
    +

    Added

    +
      +
    • Docker image (hubblo/scaphandre), ubuntu based: #48, thanks @rossf7
      • +
    • Helm chart to run scaphandre as a DaemonSet in a kubernetes cluster: #72 - thanks @rossf7
      • +
    • JsonExporter, to get metrics in JSON either in stdout or files: #68 - thanks @wallet77
      • +
    • RiemannExporter, to send metrics to Riemann monitoring tool: #58 - thanks @uggla
      • +
    • --qemu flag on PrometheusExporter, to add a "vmname" label to metrics related to processes that represent qemu-kvm virtual machines: #41 - thanks @uggla
      • +
    • Better documentation structure (based on divio's documentation framework and mdbook): #45, result here: https://hubblo-org.github.io/scaphandre-documentation/
      • +
    • Automated CI tests including cargo test --all, running on a (bare metal) machine: #62
      • +
    +

    Fixed

    +
      +
    • Improved QemuExporter documentation: #42 - thanks @uggla
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v0.3.0/index.html b/changelog/v0.3.0/index.html new file mode 100644 index 00000000..fa86407f --- /dev/null +++ b/changelog/v0.3.0/index.html @@ -0,0 +1,141 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.3.0

    +
    + + +
    + +
    + + + + + v0.3.0 + + + + + Apr 13 2021 at 08:23 UTC + + +
    +
    +

    Added

    +
      +
    • New MetricGenerator and Metric structs and helper functions to make writing exporters easier. Riemann and Prometheus exporters now share the same code pattern: #79 thanks @uggla !
      • +
    • New Warp10 exporter ! #76
      • +
    • Updated riemann_client and protobuf crates dependencies #70 thanks @uggla !
      • +
    • Successfully tested on AMD CPUs (AMD Ryzen 5 2600X): #55 (requires a kernel 5.11 or later) thanks @barnumbirr and @kamaradclimber !
      • +
    • Scaphandre can now be tested locally thanks to a docker-compose stack ! #61 thanks @PierreRust !
      • +
    • Added a CITATION file for references: #95 thanks @tstrempel !
      • +
    +

    Fixed

    +
      +
    • Allowing scaphandre to run even if intel_rapl modules are not found: #65 (needed to run scaphandre on AMD CPUs)
      • +
    • Fixed typos and lacks in the documentation: #81, #77, #80 thanks @pierreozoux, @LudovicRousseau, @maethor, @wallet77
      • +
    • Moved documentation output to another repository: #94 (documentation is now available here: https://hubblo-org.github.io/scaphandre-documentation)
      • +
    • Json exporter has been refactored: #87 thanks @jdrouet !
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v0.4.0/index.html b/changelog/v0.4.0/index.html new file mode 100644 index 00000000..a20c9fb4 --- /dev/null +++ b/changelog/v0.4.0/index.html @@ -0,0 +1,142 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.4.0

    +
    + + +
    + +
    + + + + + v0.4.0 + + + + + Oct 5 2021 at 10:46 UTC + + +
    +
    +

    Added

    +
      +
    • Riemann exporter now supports mTLS: #103 thanks @uggla !
      • +
    • --containers option, in prometheus exporter, tells scaphandre to add labels to metrics related to a docker container or a kubernetes pod, to make getting metrics of a distributed application easier: #84 thanks @rossf7 for the tests, feedbacks, helm configuration and thanks @uggla for the reviews !
      • +
    • stdout exporter now allows to choose the number of processes to watch, with the --process-number flag and to filter processes watched thanks to a regex, with the --regex-filter option: #98, thanks @uggla !
      • +
    • MetricGenerator includes timestamp in Metrics now : #113
      • +
    +

    Fixed

    +
      +
    • Added Cargo.lock to the repository: #111
      • +
    • Ensured domains names are feteched properly in any case : #114 thanks @PierreRust !
      • +
    +

    Changed

    +
      +
    • Manipulating flags as a Vec of clap::Arg instead of a HashMap of ExporterOption in exporters: #100, thanks @uggla !
      • +
    • Json and Stdout exporters are now using MetricGenerator as an inteface to get metrics properly : #113
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v0.4.1/index.html b/changelog/v0.4.1/index.html new file mode 100644 index 00000000..6771df75 --- /dev/null +++ b/changelog/v0.4.1/index.html @@ -0,0 +1,129 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.4.1

    +
    + + +
    + +
    + + + + + v0.4.1 + + + + + Oct 5 2021 at 15:31 UTC + + +
    +
    +

    Changed

    +
      +
    • Updated k8s-sync crate to 0.2.3 to get authentication by token feature
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v0.5.0/index.html b/changelog/v0.5.0/index.html new file mode 100644 index 00000000..8d4c1e3e --- /dev/null +++ b/changelog/v0.5.0/index.html @@ -0,0 +1,156 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v0.5.0

    +
    + + +
    + +
    + + + + + v0.5.0 + + + + + Jan 30 2023 at 11:52 UTC + + +
    +
    +

    Changed

    +
      +
    • Upgraded procfs to 0.12 : #144
      • +
    • Rollbacked to ubuntu 20.04 as the base docker image : #151, thanks to @demeringo
      • +
    • Using github action to tag docker image : #160, thanks to @rossf7
      • +
    +

    Added

    +
      +
    • New level of abstraction regarding structs managed by Sensors, so we could implement more sensors in an easier way : #149
      • +
    • Enable JSON exporter to run as a daemon : #169
      • +
    • First building blocks for conditional compilation depending on the OS : #148
      • +
    • Mitigation for machines where powercap is not able to feed rapl domain folders, and only has socket ones : #198
      • +
    • Experimental support for Windows 10, 11, server 2019 : #74 and #247
      • +
    • Added --containers option to JSON exporter : #217
      • +
    +

    Fixed

    +
      +
    • Kubernetes pods using containerd are now supported : #130, thanks to @rossf7
      • +
    • Excluded unrelevant procfs metrics from calculation of cpu cycles consumed by processes : #132
      • +
    • Mitigated possible decrepancies between host (rapl) total power usage metric and the sum of per-process power usage metrics : #20, note that some issues show remaining issues on this topic. Further investigation and work needed.
      • +
    • Documentation fix for helm install : #136, thanks to @arthurzenika
      • +
    • New helm chart values: arguments and backtrace : #139, thanks to @jotak
      • +
    • Some documentation typos : #157, thanks to @metacosm
      • +
    • Aligning on new clippy rules : #162, thanks to @demeringo
      • +
    • Always set last pods check timestamp : #173, thanks to @rossf7
      • +
    • Support kubelets using systemd cgroup driver: #146, thanks to @rossf7
      • +
    • Fix missing volume in psp (helm chart): #168, thanks to @olevitt
      • +
    • Spelling check in documentation : #183, thanks to @irishgordo
      • +
    • No more duplicated HELP and TYPE lines in prometheus exporter: #165 and #192
      • +
    • Escaping newlines in cmdline: #175, thanks to @uggla
      • +
    + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/changelog/v1.0.0/index.html b/changelog/v1.0.0/index.html new file mode 100644 index 00000000..afb2d1fd --- /dev/null +++ b/changelog/v1.0.0/index.html @@ -0,0 +1,160 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Scaphandre v1.0.0

    +
    + + +
    + +
    + + + + + v1.0.0 + + + + + Feb 12 2024 at 13:48 UTC + + +
    +
    +

    Added

    + +

    Changed

    + +

    Fixed

    + + +
    +
    +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
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    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + +
    +

    Help fund this project!

    + + +
      + +
    +
    + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 00000000..bbf8d7ca --- /dev/null +++ b/index.html @@ -0,0 +1,1750 @@ + + + + scaphandre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + +
    + + + Check out our GitHub! + +
    + + +
    +
    + +

    scaphandre

    + + + +
    + + + + + + + +
    +
    +

    Install v1.0.0

    + +
    Published on Feb 12 2024 at 13:48 UTC
    + + +
      + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + + +
    + View all installation options + + + +
    +
    + +View all installation options + + +

    + +

    +

    + Scaphandre +

    +

    + Your tech stack doesn't need so much energy ⚡ +

    +
    +

    Scaphandre [skafɑ̃dʁ] is a metrology agent dedicated to electric power and energy consumption metrics. The goal of the project is to permit to any company or individual to measure the power consumption of its tech services and get this data in a convenient form, sending it through any monitoring or data analysis toolchain.

    +

    Scaphandre means heavy diving suit in :fr:. It comes from the idea that tech related services often don't track their power consumption and thus don't expose it to their clients. Most of the time the reason is a presumed bad ROI. Scaphandre makes, for tech providers and tech users, easier and cheaper to go under the surface to bring back the desired power consumption metrics, take better sustainability focused decisions, and then show the metrics to their clients to allow them to do the same.

    +

    This project was born from a deep sense of duty from tech workers. Please refer to the why section to know more about its goals.

    +

    Warning: this is still a very early stage project. Any feedback or contribution will be highly appreciated. Please refer to the contribution section.

    +

    Fmt+Clippy + +

    +

    Join us on Gitter or Matrix !

    +
    +

    ✨ Features

    +
      +
    • measuring power/energy consumed on bare metal hosts
      • +
    • measuring power/energy consumed of qemu/kvm virtual machines from the host
      • +
    • exposing power/energy metrics of a virtual machine, to allow manipulating those metrics in the VM as if it was a bare metal machine (relies on hypervisor features)
      • +
    • exposing metrics as a prometheus (HTTP) exporter
      • +
    • sending metrics in push mode to a prometheus Push Gateway
      • +
    • sending metrics to riemann
      • +
    • sending metrics to Warp10
      • +
    • works on kubernetes
      • +
    • storing power consumption metrics in a JSON file
      • +
    • showing basic power consumption metrics in the terminal
      • +
    • operating systems supported so far : Gnu/Linux, Windows 10, 11 and Server 2016/2019/2022
      • +
    • packages available for RHEL 8 and 9, Debian 11 and 12 and Windows, also NixOS (community support)
      • +
    +

    Here is an example dashboard built thanks to scaphandre: https://metrics.hubblo.org.

    +

    +

    📄 How to ... ?

    +

    You'll find everything you may want to know about scaphandre in the documentation, like:

    + +

    If you are only interested in the code documentation here it is.

    +

    📅 Roadmap

    +

    The ongoing roadmap can be seen here. Feature requests are welcome, please join us.

    +

    ⚖️ Footprint

    +

    In opposition to its name, scaphandre aims to be as light and clean as possible. One of the main focus areas of the project is to come as close as possible to a 0 overhead, both about resources consumption and power consumption.

    +

    🙏 Sponsoring

    +

    If you like this project and would like to provide financial help, here's our sponsoring page. +Thanks a lot for considering it !

    + + + +
    +
    + +
    + + + + + scaphandre, Apache-2.0 + +
    +
    + + + + + + + + + + + \ No newline at end of file diff --git a/oranda-v0.6.1.css b/oranda-v0.6.1.css new file mode 100644 index 00000000..47588842 --- /dev/null +++ b/oranda-v0.6.1.css @@ -0,0 +1,3 @@ +@import url("https://fonts.googleapis.com/css2?family=Fira+Sans:wght@400;700;900&display=swap");@import url("https://fonts.googleapis.com/css2?family=Comfortaa:wght@400;700&display=swap");@import url("https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;600;700&display=swap");@import 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