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fix_html.py
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import os, requests, json, hashlib, re
from colors import *
from bs4 import BeautifulSoup, NavigableString
from urllib.parse import unquote
def sha(s):
return hashlib.sha256(s.encode('UTF-8')).hexdigest()
ICON_CACHE = {}
def fix(path, id, headers, cookies):
global ICON_CACHE
with open(path+"index_dirty.html", "r", encoding="utf-8") as f:
r = f.read()
soup = BeautifulSoup(r, 'html.parser')
for data in soup(['style', 'script', 'link']):
#remove tags
data.decompose()
decomp = []
charset = soup.new_tag("meta")
charset["charset"] = "UTF-8"
soup.find("head").append(charset)
decomp.append(soup.find("meta", {"name": "viewport"}))
viewport = soup.new_tag("meta")
viewport["name"] = "viewport"
viewport["content"] = "width=device-width, initial-scale=1.0"
soup.find("head").append(viewport)
for el in soup("a"):
data_store = el.get("data-store")
data_uri = el.get("data-uri")
data_sigil = el.get("data-sigil")
if data_sigil:
if "translate-link" in data_sigil:
decomp.append(el)
if data_uri:
if "/comment" in data_uri:
decomp.append(el)
if not data_store: continue
try:
obj = json.loads(data_store)
#print(obj)
except:
continue
if "feedbackTarget" in obj or "editCommentURI" in obj or "reportIsModalDialog" in obj:
decomp.append(el)
for el in soup.find_all('a'):
if el.get("href") != None:
if el["href"].startswith("/"):
del el["href"]
elif el["href"].startswith("https://lm.facebook.com/l.php?u="):
el["href"] = unquote(el["href"].replace("https://lm.facebook.com/l.php?u=", "")).split("&h=")[0]
else:
del el["href"]
#reactions padding fix
for el in soup.find_all(attrs={"class": "_qfz _77kf"}):
el["style"] = "line-height: 0"
for el in soup.find_all(attrs={"class": "_1g06"}):
el["style"] = "vertical-align: bottom;"
#bottom padding
for el in soup.find_all(attrs={"class": "_45kb ufi"}):
el["style"] = "padding-bottom: 55px;"
#img shadow
for el in soup.find_all("div", attrs={"class": "_2b1t attachment"}):
el["style"] = "border-radius: 25px; box-shadow: 0px 20px 25px rgba(0, 0, 0, 0.1); border: none;"
decomp.append(soup.find("div", {"id": "MChromeHeader"}))
decomp.append(soup.find("select", {"name": "comment_switcher"}))
decomp.append(soup.find("div", {"id": "add_comment_switcher_placeholder"}))
decomp.append(soup.find("div", {"data-sigil": "m-photo-composer m-noninline-composer"}))
#main reactions padding
has_reactions = len(soup.find_all(attrs={"class": "_1w1k _5c4t"})) > 0
sentence = soup.find("div", {"id": "sentence_"+id})
if sentence:
if has_reactions:
sentence["style"] = "height: auto; padding-top: 14px; padding-left: 24px"
else:
sentence["style"] = "height: auto; padding-top: 0px; margin-bottom: -7px; padding-left: 24px"
#big posts size fix
for el in soup.find_all(attrs={"class": "_1-sh"}):
el['style'] = el.get("style", "")+"; border-radius: 25px; max-width: 500px; height: auto; display: block; overflow: auto; margin-left: auto; margin-right: auto; "
#big posts margin
for el in soup.find_all(attrs={"class": "_1-sk"}):
el['style'] = el.get("style", "")+"; margin: 0px;"
#triangle > fix
for el in soup.find_all("i", attrs={"class": "_5s3i _4q9a img sp_D06VMFUbltx_3x sx_d84c2c"}):
el['style'] = el.get("style", "")+"; transform: translateY(1px);"
#comment box
for el in soup.find_all("div", attrs={"data-sigil": "mufi-inline"}):
decomp.append(el)
#mention header
for el in soup.find_all(attrs={"class": "_52jh _5rgs _78cx _5sg5"}):
decomp.append(el)
#post margin
for el in soup.find_all("div", attrs={"class": "_5rgu _7dc9 _27x0"}):
el['style'] = el.get("style", "")+"; margin-bottom: 15px;"
#img border
for el in soup.find_all("div", attrs={"class": "_50xr _4g6 _4prr _11cc _-_b _403j"}):
el['style'] = el.get("style", "")+"; border-radius: 15px; box-shadow: 0px 20px 25px rgba(0, 0, 0, 0.05);"
#name popup
for el in soup.find_all("div", attrs={"class": "_3fcy"}):
decomp.append(el)
#shared post margin
for el in soup.find_all(attrs={"class": "_56be _4hkg _5rgr _5s1m async_like"}):
el['style'] = el.get("style", "")+"; margin-left: 20px; margin-right: 20px"
#add comment
for el in soup.find_all(attrs={"data-sigil": "m-add-comment"}):
decomp.append(el)
#more popup (admin)
for el in soup.find_all(attrs={"data-sigil": "comment-flyout-context comment-metadata"}):
decomp.append(el)
#name offset
for el in soup.find_all("div", attrs={"class": "_4g34 _5i2i _52we"}):
el["style"] = "margin-top: 14px; margin-left: 10px"
first_pfp = True
#avatars
for el in soup.find_all("i", attrs={"class": "img _1-yc profpic"}):
#make them bigger
el["style"] = el.get("style", "").replace("width:24px", "width:32px").replace("height:24px", "height:32px")
#move it down
if first_pfp:
el["style"] = el["style"]+"; width:40px; height:40px;"
first_pfp = False
if "40px" in el["style"]:
pass
#el["style"] = el["style"]+"; top:9px; position: relative;"
else:
el["style"] = el["style"]+"; top:14px; position: relative;"
el["style"] = el["style"]+"; border: 1px solid #eeeeee"
#follow button remove
for el in soup.find_all("button", attrs={"class": "_56bz _54k8 _52jg _56bs _26vk _56bt"}):
decomp.append(el)
#anon name fix
for el in soup.find_all("div", attrs={"class": "_59k _2rgt _1j-f _2rgt"}):
if "Anonimowy członek" in el.get_text():
el.clear()
el.append('Anonimowy członek grupy')
el["class"].remove("_59k")
#avatars anon
for el in soup.find_all("div", attrs={"class": "_67lm _77kc"}):
#make them bigger
el["style"] = "width:40px; height:40px; border-radius: 20px; overflow: hidden"
#move it down
if "40px" in el["style"]:
el["style"] = el["style"]+"; top:9px; position: relative;"
else:
el["style"] = el["style"]+"; top:14px; position: relative;"
el["style"] = el["style"]+"; border: 1px solid #eeeeee"
#story ring
for el in soup.find_all(attrs={"class": "_67lm _8479 _847o _77kc"}):
el["class"].remove("_67lm")
el["class"].remove("_8479")
el["class"].remove("_847o")
el["class"].remove("_77kc")
el["style"] = "width:40px; height:40px; border-radius: 20px; overflow: hidden; top:9px; position: relative;"
#hide emojis
for el in soup.find_all("span", attrs={"class": "_6qdm"}):
if el.get("style") != None:
el["style"] = "color: inherit"
el["class"] = ""
#word breaks
for el in soup.find_all("wbr"):
decomp.append(el)
for el in soup.find_all("span", attrs={"class": "word_break"}):
decomp.append(el)
#reactions align fix & border & shadow
for el in soup.find_all("a", attrs={"class": "_14v8 _4edm"}):
el["style"] = "line-height: 0px; padding: 4px; padding-right: 7px; padding-left: 7px; border-radius: 15px; padding-top: 3px; box-shadow: 0px 2px 20px rgba(0, 0, 0, 0.10); transform: translate(-5px, 2px);"
#search bar
for el in soup.find_all("form", attrs={"action": "/search/top/"}):
decomp.append(el)
#loading comments
for el in soup.find_all("div", attrs={"data-sigil": "m-photo-composer m-inline-reply-composer"}):
decomp.append(el)
#three dots
for el in soup.find_all("div", attrs={"data-sigil": "story-popup-causal-init"}):
decomp.append(el)
#comments margin
for el in soup.find_all("div", attrs={"class": "_2b04"}):
el["style"] = "margin-top: 12px; overflow: visible;"
#dot
for el in soup.find_all("span", attrs={"aria-hidden": "true"}):
decomp.append(el)
for el in soup.find_all("i", attrs={"class": "feedAudienceIcon"}):
decomp.append(el)
#min height
for el in soup.find_all("div", attrs={"id": "viewport"}):
el["style"] = "overflow: visible"
for el in soup.find_all("div", attrs={"id": "root"}):
el["style"] = "max-width: 777px; margin-right: auto; margin-left: auto; margin-top: 10px; padding-top: 0px; padding-right: 0px; padding-left: 10px;"
#post date style
for el in soup.find_all("div", attrs={"data-sigil": "m-feed-voice-subtitle"}):
el["style"] = "margin-top: -2px; margin-left: 0px; font-size: 10px;"
#comments box round
for el in soup.find_all(attrs={"data-sigil": "m-mentions-expand"}):
el["style"] = "border-radius: 20px;"
found_comments = False
#comments padding
for el in soup.find_all("div", attrs={"class": "_2b06"}):
found_comments = True
el["style"] = "padding: 12px; line-height: 20px; border-radius: 25px; box-shadow: 0px 8px 35px rgba(0, 0, 0, 0.1); background-color: #fefefe; margin-bottom: 4px; padding-bottom: 13px; padding-right: 14px;"
for el in soup.find_all("div", attrs={"class": "_2b05"}):
found_comments = True
el["style"] = "padding-right: 8px; padding-left: 11px; padding-top: 3px;"
for el in soup.find_all("div", attrs={"data-sigil": "comment-body"}):
found_comments = True
el["style"] = "padding-right: 8px; padding-left: 11px;"
for el in soup.find_all("div", attrs={"class": "_2b05", "data-sigil": "comment-body"}):
found_comments = True
el["style"] = "padding-right: 8px; padding-left: 11px; margin-top: 17px;"
el.parent["style"] = el.parent.get("style", "a: 1;")+"; margin-top: -10px;"
#post pfp padding
for el in soup.find_all("header", attrs={"class": "_7om2 _1o88 _77kd _5qc1"}):
el["style"] = "margin-left: 18px; margin-bottom: 15px;"
#post padding
for el in soup.find_all("div", attrs={"class": "_5rgt _5nk5"}):
if len(el.get_text().strip()) > 0:
el["style"] = "padding-right: 40px; line-height: 20px; padding-left: 30px; padding-bottom: 7px;"
#comment time margin
for el in soup.find_all("abbr", attrs={"class": "_4ghv _2b0a"}):
old_parent = el.parent
name_tag = el.parent.parent.find_all(attrs={"class": "_2b05"})[0]
el.insert(0, NavigableString("\u00a0"))
name_tag.append(el)
el["style"] = "color: #aaaaaa; margin-left: 3px;";
decomp.append(old_parent)
#el["style"] = el.get("style", "a: 1")+"; margin-top: 5px; margin-left: 14px;"
#useless
for el in soup.find_all("div", attrs={"data-sigil": "ufi-inline-comment-actions"}):
decomp.append(el)
#pfp margin
for el in soup.find_all("div", attrs={"class": "_2b00"}):
el["style"] = el.get("style", "a: 1")+"; margin-left: 7px; margin-right: 8px;"
#story body shadow
for el in soup.find_all("div", attrs={"class": "story_body_container"}):
el["style"] = "border-radius: 20px; padding-bottom: 4px; box-shadow: 0px 20px 50px rgba(0, 0, 0, 0.1); border: none; margin-top: 5px; margin-bottom: 10px;"
#gear icon
for el in soup.find_all(attrs={"class": "img _1_if img _2sxw"}):
el["style"] = el.get("style", "a: 1")+"width:20px;height:20px;margin-right:5px;"
#top padding
for el in soup("body"):
el["style"] = "padding-top: 7px;"
for el in soup("form"):
data_store = el.get("data-store")
if not data_store: continue
try:
obj = json.loads(data_store)
#print(obj)
except:
continue
if "expand_composer" in obj:
decomp.append(el)
for el in soup("form"):
data_store = el.get("data-store")
if not data_store: continue
try:
obj = json.loads(data_store)
#print(obj)
except:
continue
if "expand_composer" in obj:
decomp.append(el)
for el in soup('i')[:]:
data_store = el.get("data-store")
if not data_store: continue
try:
obj = json.loads(data_store)
#print(obj)
except:
continue
if "imgsrc" in obj:
img = soup.new_tag("img")
img["src"] = obj["imgsrc"]
el.parent.parent.append(img)
decomp.append(el.parent)
for el in soup("section", {"class": "_2rea _24e1 _412_ _bpa _vyy _5t8z"}):
el["class"] = ""
for el in soup('div')[:]:
#print(el)
# if "data-store" in el:
# if el["data-store"].contains("videoID"):
data_store = el.get("data-store")
if not data_store: continue
try:
obj = json.loads(data_store)
#print(obj)
except:
continue
if "videoID" in obj:
#print(data_store)
center = soup.new_tag("center")
video = soup.new_tag("video")
divv = soup.new_tag("div")
video["src"] = obj["src"]+"#t=0.001"
video["controls"] = True
#print(video)
for ell in el.find_all("div"):
decomp.append(ell)
for ell in el.find_all("img"):
decomp.append(ell)
center.append(divv)
divv.append(video)
el.parent.parent.append(center)
decomp.append(el.parent)
for el in decomp:
try:
el.decompose()
except:
pass
try:
os.mkdir(path+"media")
except:
pass
#responsive images size
for el in soup.find_all("img"):
el["style"] = "max-width: 100%; height: auto;"
session = requests.Session()
for el in soup('img')[:]:
src = el["src"]
if not src.startswith("data:image"):
print_info("Downloading image "+color(src, colors.GREEN))
mediapath = "media/"+sha(src)+".jpg"
if not os.path.exists(path+mediapath):
bytes = session.get(src, headers=headers, cookies=cookies).content
with open(path+mediapath, "wb+") as f:
f.write(bytes)
el['src'] = "./"+mediapath
for el in soup('video')[:]:
src = el["src"]
print_info("Downloading video "+color(src, colors.GREEN))
mediapath = "media/"+sha(src)+".mp4"
if not os.path.exists(path+mediapath):
bytes = session.get(src, headers=headers, cookies=cookies).content
with open(path+mediapath, "wb+") as f:
f.write(bytes)
el['src'] = "./"+mediapath
for el in soup.find_all():
#if "href" in el:
style = el.get("style")
if style:
if "background" in style:
#print(style)
fixedurl = None
url = None
if "url('" in style:
url = style.split("url('")[1].split("')")[0]
elif 'url("' in style:
url = style.split('url("')[1].split('")')[0]
elif 'url(' in style:
url = style.split('url(')[1].split(')')[0]
if url:
fixedurl = url.replace("\\3a ", ":").replace("\\3d ", "=").replace("\\26 ", "&").replace(r"\25 3A", ":").replace(r"\25 2F", "/")
if fixedurl:
print_info("Downloading misc "+color(fixedurl, colors.GREEN))
ext = fixedurl
if "?" in ext:
ext = ext.split("?")[0]
ext = ext.split(".")[-1]
#print(ext)
if ext not in ["gif", "jpg", "jpeg", "png", "webp"]:
ext = "jpg"
mediapath = "media/"+sha(fixedurl)+"."+ext
if not os.path.exists(path+mediapath):
bytes = session.get(fixedurl, headers=headers, cookies=cookies).content
with open(path+mediapath, "wb+") as f:
f.write(bytes)
el["style"] = el["style"].replace(url, "./"+mediapath)
for video in soup("video")[:]:
divv = soup.new_tag("div")
video['style'] = "max-width: 100%; height: auto; max-height: 500px; width: 100%; position: relative; left: 0; top: 0; opacity: 1; display: inline-block;"
video.parent.append(divv)
divv.append(video)
if divv.parent.parent.parent.name == "section": #sorry
divv['style'] = "margin: 20px; width: calc(100%-40px); margin-bottom: 15px; height: auto; display: block; border-radius: 20px; border: none; box-shadow: 0px 20px 35px rgba(0, 0, 0, 0.05); overflow: hidden; position: relative;"
else:
divv['style'] = "width: 100%; height: auto; display: block; border-radius: 20px; border: none; box-shadow: 0px 20px 35px rgba(0, 0, 0, 0.05); overflow: hidden; position: relative;"
#video.decompose()
if not found_comments:
comments = soup.find("div", attrs={"class": "_45kb ufi"})
post_deleted = False
if comments == None:
comments = soup.find("body")
post_deleted = True
center = soup.new_tag("div")
text = soup.new_tag("h1")
center["style"] = "margin-left: auto; margin-top: 50px; width: fit-content; margin-right: auto; text-align: center;"
text["style"] = "font-size: 40px; font-weight: normal; margin-left: -10px;"
text.insert(0, NavigableString("Post deleted" if post_deleted else "No comments"))
img = soup.new_tag("img")
img["src"] = 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"
img["style"] = "margin-bottom: 60px"
center.append(img)
center.append(soup.new_tag("br"))
center.append(text)
comments.append(center)
style = soup.new_tag("link")
style["href"] = "style.css"
style["rel"] = "stylesheet"
soup.html.head.append(style)
# return data by retrieving the tag content
final = soup.prettify()
try:
os.mkdir(path+"media")
except:
pass
style = ""
with open(path+"style.css", "r") as f:
style = f.read()
repl = {}
session = requests.Session()
for url in re.findall(r'url\(\s*(.*?)\s*\)', style):
if url in repl: continue
if not url.startswith("data:"):
if "." in url:
ext = url.split(".")[-1]
src = "https://static.xx.fbcdn.net"+url
sha_url = sha(url)
mediapath = "media/"+sha_url+"."+ext
bytess = None
if url in ICON_CACHE:
print_info("Css img was in cache "+color(src, colors.GREEN)+" -> "+sha_url)
bytess = ICON_CACHE[url]
else:
headers_img = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/114.0',
'Accept': 'image/avif,image/webp,*/*',
'Accept-Language': 'pl,en-US;q=0.7,en;q=0.3',
'Alt-Used': 'static.xx.fbcdn.net',
'Connection': 'keep-alive',
'Referer': 'https://static.xx.fbcdn.net/rsrc.php/v3/yd/l/0,cross/jsnRWJHluG0.css?_nc_x=UeZwemhlfW9',
'Sec-Fetch-Dest': 'image',
'Sec-Fetch-Mode': 'no-cors',
'Sec-Fetch-Site': 'same-origin',
'Pragma': 'no-cache',
'Cache-Control': 'no-cache',
}
print_info("Downloading css img "+color(src, colors.GREEN)+" -> "+sha_url)
if not os.path.exists(path+mediapath):
bytess = session.get(src, headers=headers_img).content
ICON_CACHE[url] = bytess
else:
with open(path+mediapath, "rb") as f:
ICON_CACHE[url] = f.read()
bytess = ICON_CACHE[url]
if bytess != None:
repl[url] = "./"+mediapath
with open(path+mediapath, "wb+") as f:
f.write(bytess)
for k, v in repl.items():
style = style.replace(k, v)
style = style.replace('1px solid rgba(0, 0, 0, .101)', '0px solid rgba(0, 0, 0, 0)').replace('rgba(0, 0, 0, .07)', 'rgba(0, 0, 0, 0)').replace('rgba(0, 0, 0, .11)', 'rgba(0, 0, 0, 0)').replace('rgba(0, 0, 0, .18)', 'rgba(0, 0, 0, 0)').replace('rgba(0, 0, 0, .1)', 'rgba(0, 0, 0, 0)')
style = style.replace("._1-sh::after,._1-sh::before{background-color:rgba(0, 0, 0, .1);content:'';display:block;height:1px;left:0;position:absolute;right:0}", "")
style = style.replace("_56be::before", "_56be::gowno")
style = style.replace("user-select", "user-gowno")
with open(path+"style.css", "w") as f:
f.write(style)
with open(path+"index.html", "w", encoding="utf-8") as f:
f.write(final)
# now lets count comments
elements_count = 0
for el in soup.find_all("div", attrs={"class": "_2b04"}):
elements_count += 1
return elements_count
#os.remove(path+"index_dirty.html")