Notebook for timing/gap test

docs/source/examples/TimingTest.ipynb

@@ -0,0 +1,133 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f9a24312-c178-494b-b07f-44908a2b48f4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "# add path to ioos_qc cloned repo\n",
+    "os.chdir('/Users/sakshamgupta/ioos_qc')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "6aa17d9e-518c-426f-97dc-87785cf85295",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ioos_qc.qartod import aggregate\n",
+    "from ioos_qc.streams import XarrayStream\n",
+    "from ioos_qc.results import collect_results, CollectedResult\n",
+    "from ioos_qc.config import Config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6254078b-a5bc-47a8-a857-e23fcb6de972",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from netCDF4 import Dataset\n",
+    "from cftime import num2pydate\n",
+    "import numpy.ma as ma\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import yaml\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "import warnings\n",
+    "import netCDF4\n",
+    "import datetime\n",
+    "# Suppress all warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7a31a705-b097-4487-9889-7e6d2d45c17b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class QartodFlags(object):\n",
+    "    \"\"\"Primary flags for QARTOD.\"\"\"\n",
+    "    GOOD = 1\n",
+    "    UNKNOWN = 2\n",
+    "    SUSPECT = 3\n",
+    "    FAIL = 4\n",
+    "    MISSING = 9\n",
+    "\n",
+    "FLAGS = QartodFlags  # Default name for all check modules\n",
+    "NOTEVAL_VALUE = QartodFlags.UNKNOWN"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "79cd7a4e-c48b-4e3b-9de7-777ebf51c716",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "flag_arr [1]\n"
+     ]
+    }
+   ],
+   "source": [
+    "tim_stmp = 1728150208 #1643723400 \n",
+    "tim_inc = 3600  # set 1 hour time interval as expected time window\n",
+    "now = datetime.datetime.now()\n",
+    "now_seconds = now.timestamp()\n",
+    "\n",
+    "# Calculating the time difference between the current time and the expected time stamp\n",
+    "time_diff = now_seconds - tim_stmp\n",
+    "\n",
+    "# Initialize the flag array with value (1)\n",
+    "flag_arr = np.ones(1, dtype='uint8')\n",
+    "\n",
+    "# If the time difference is greater than the expected time increment, set flag value 4\n",
+    "if time_diff > tim_inc:\n",
+    "    flag_arr[0] = QartodFlags.FAIL\n",
+    "\n",
+    "print(\"flag_arr\", flag_arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f454c06e-4cf1-47ff-803b-60a93addf9b2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}