notebooks/data-sources/TestGrid/metrics/build_pass_failure.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cbb9bc12",
   "metadata": {},
   "source": [
    "# Quantify Build Pass/Failure\n",
    "\n",
    "In this notebook, the key perfomance indicators that we would like to create greater visbility into and track over time is the percent of builds that passed/failed. This can be used to capture the build success rate ie. number of successful builds / deployments relative to the total number of builds / deployments. Through this notebook, we will be able to compute:\n",
    "\n",
    "* Total number of builds\n",
    "* Total number of passing builds\n",
    "* Total number of failing builds\n",
    "* Build pass percentage\n",
    "* Build failure percentage\n",
    "\n",
    "_Linked issues: [issue 1](https://github.com/aicoe-aiops/ocp-ci-analysis/issues/114), [issue 2](https://github.com/aicoe-aiops/ocp-ci-analysis/issues/136)_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fc8ee7f1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:16:52.176485Z",
     "start_time": "2021-03-24T19:16:51.134245Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gzip\n",
    "import json\n",
    "import os\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "\n",
    "from ipynb.fs.defs.metric_template import testgrid_labelwise_encoding\n",
    "from ipynb.fs.defs.metric_template import CephCommunication\n",
    "from ipynb.fs.defs.metric_template import save_to_disk, read_from_disk\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "\n",
    "load_dotenv(find_dotenv())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "719494fd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:05.930968Z",
     "start_time": "2021-03-24T19:16:53.339764Z"
    }
   },
   "outputs": [],
   "source": [
    "## Specify variables\n",
    "\n",
    "METRIC_NAME = \"build_pass_failure\"\n",
    "\n",
    "# Specify the path for input grid data,\n",
    "INPUT_DATA_PATH = \"../../../../data/raw/testgrid_183.json.gz\"\n",
    "\n",
    "# Specify the path for output metric data\n",
    "OUTPUT_DATA_PATH = f\"../../../../data/processed/metrics/{METRIC_NAME}\"\n",
    "\n",
    "## CEPH Bucket variables\n",
    "## Create a .env file on your local with the correct configs,\n",
    "s3_endpoint_url = os.getenv(\"S3_ENDPOINT\")\n",
    "s3_access_key = os.getenv(\"S3_ACCESS_KEY\")\n",
    "s3_secret_key = os.getenv(\"S3_SECRET_KEY\")\n",
    "s3_bucket = os.getenv(\"S3_BUCKET\")\n",
    "s3_path = os.getenv(\"S3_PROJECT_KEY\", \"ai4ci/testgrid/metrics\")\n",
    "s3_input_data_path = \"raw_data\"\n",
    "AUTOMATION = os.getenv(\"IN_AUTOMATION\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dbd2c3be",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Import data\n",
    "timestamp = datetime.datetime.today()\n",
    "\n",
    "if AUTOMATION:\n",
    "    filename = f\"testgrid_{timestamp.day}{timestamp.month}.json\"\n",
    "    cc = CephCommunication(s3_endpoint_url, s3_access_key, s3_secret_key, s3_bucket)\n",
    "    s3_object = cc.s3_resource.Object(s3_bucket, f\"{s3_input_data_path}/{filename}\")\n",
    "    file_content = s3_object.get()[\"Body\"].read().decode(\"utf-8\")\n",
    "    testgrid_data = json.loads(file_content)\n",
    "\n",
    "else:\n",
    "    with gzip.open(INPUT_DATA_PATH, \"rb\") as read_file:\n",
    "        testgrid_data = json.load(read_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9dd3f41",
   "metadata": {},
   "source": [
    "## Metric Calculation\n",
    "We find all the tests which are failing i.e have a status code of 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "582f59b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:32.122674Z",
     "start_time": "2021-03-24T19:17:05.934222Z"
    }
   },
   "outputs": [],
   "source": [
    "build_failures_list = testgrid_labelwise_encoding(testgrid_data, 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "01eb4340",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:32.129481Z",
     "start_time": "2021-03-24T19:17:32.125493Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50999978"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(build_failures_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "948655b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:33.357274Z",
     "start_time": "2021-03-24T19:17:32.131613Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(datetime.datetime(2021, 9, 30, 20, 16, 50),\n",
       " '\"redhat-assisted-installer\"',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.6-e2e-metal-assisted',\n",
       " 'periodic-ci-openshift-release-master-nightly-4.6-e2e-metal-assisted.Overall',\n",
       " None,\n",
       " False)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "build_failures_list[:][6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "08382997",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:48.514257Z",
     "start_time": "2021-03-24T19:17:33.359634Z"
    }
   },
   "outputs": [],
   "source": [
    "# Convert to dataframe\n",
    "build_failures_df = pd.DataFrame(\n",
    "    build_failures_list,\n",
    "    columns=[\"timestamp\", \"tab\", \"grid\", \"test\", \"test_duration\", \"build_failure\"],\n",
    ")\n",
    "build_failures_df = build_failures_df.drop(columns=\"test_duration\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b08199a6",
   "metadata": {},
   "source": [
    "We use the `Overall` tests as our proxy for builds. We used the labels provided by TestGrid which classify a test overall as Pass or Fail to indicate build success and failures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f3246b10",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:49.995766Z",
     "start_time": "2021-03-24T19:17:48.516499Z"
    }
   },
   "outputs": [],
   "source": [
    "build_failures_df = build_failures_df.loc[\n",
    "    build_failures_df[\"test\"].str.contains(\"Overall\")\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f0ca8b98",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:17:50.011468Z",
     "start_time": "2021-03-24T19:17:49.998007Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tab</th>\n",
       "      <th>grid</th>\n",
       "      <th>test</th>\n",
       "      <th>build_failure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-10-08 00:18:00</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-10-07 20:37:44</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-10-05 16:04:16</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-10-04 20:36:36</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-10-04 00:00:45</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp                          tab  \\\n",
       "0 2021-10-08 00:18:00  \"redhat-assisted-installer\"   \n",
       "1 2021-10-07 20:37:44  \"redhat-assisted-installer\"   \n",
       "2 2021-10-05 16:04:16  \"redhat-assisted-installer\"   \n",
       "3 2021-10-04 20:36:36  \"redhat-assisted-installer\"   \n",
       "4 2021-10-04 00:00:45  \"redhat-assisted-installer\"   \n",
       "\n",
       "                                                grid  \\\n",
       "0  periodic-ci-openshift-release-master-nightly-4...   \n",
       "1  periodic-ci-openshift-release-master-nightly-4...   \n",
       "2  periodic-ci-openshift-release-master-nightly-4...   \n",
       "3  periodic-ci-openshift-release-master-nightly-4...   \n",
       "4  periodic-ci-openshift-release-master-nightly-4...   \n",
       "\n",
       "                                                test  build_failure  \n",
       "0  periodic-ci-openshift-release-master-nightly-4...          False  \n",
       "1  periodic-ci-openshift-release-master-nightly-4...          False  \n",
       "2  periodic-ci-openshift-release-master-nightly-4...          False  \n",
       "3  periodic-ci-openshift-release-master-nightly-4...          False  \n",
       "4  periodic-ci-openshift-release-master-nightly-4...          False  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "build_failures_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81216a8c",
   "metadata": {},
   "source": [
    "We now find all the tests which are passing i.e. have a status code of 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2dbcccde",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:28.411187Z",
     "start_time": "2021-03-24T19:17:50.318498Z"
    }
   },
   "outputs": [],
   "source": [
    "build_passing_list = testgrid_labelwise_encoding(testgrid_data, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5af42eaf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:41.892913Z",
     "start_time": "2021-03-24T19:18:28.414121Z"
    }
   },
   "outputs": [],
   "source": [
    "# Convert to dataframe\n",
    "build_passing_df = pd.DataFrame(\n",
    "    build_passing_list,\n",
    "    columns=[\"timestamp\", \"tab\", \"grid\", \"test\", \"test_duration\", \"build_passing\"],\n",
    ")\n",
    "build_passing_df = build_passing_df.drop(columns=\"test_duration\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "004054c5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:43.335390Z",
     "start_time": "2021-03-24T19:18:41.895412Z"
    }
   },
   "outputs": [],
   "source": [
    "build_passing_df = build_passing_df.loc[\n",
    "    build_passing_df[\"test\"].str.contains(\"Overall\")\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5e1febbc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:43.350415Z",
     "start_time": "2021-03-24T19:18:43.337566Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tab</th>\n",
       "      <th>grid</th>\n",
       "      <th>test</th>\n",
       "      <th>build_passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-10-08 00:18:00</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-10-07 20:37:44</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-10-05 16:04:16</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-10-04 20:36:36</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-10-04 00:00:45</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp                          tab  \\\n",
       "0 2021-10-08 00:18:00  \"redhat-assisted-installer\"   \n",
       "1 2021-10-07 20:37:44  \"redhat-assisted-installer\"   \n",
       "2 2021-10-05 16:04:16  \"redhat-assisted-installer\"   \n",
       "3 2021-10-04 20:36:36  \"redhat-assisted-installer\"   \n",
       "4 2021-10-04 00:00:45  \"redhat-assisted-installer\"   \n",
       "\n",
       "                                                grid  \\\n",
       "0  periodic-ci-openshift-release-master-nightly-4...   \n",
       "1  periodic-ci-openshift-release-master-nightly-4...   \n",
       "2  periodic-ci-openshift-release-master-nightly-4...   \n",
       "3  periodic-ci-openshift-release-master-nightly-4...   \n",
       "4  periodic-ci-openshift-release-master-nightly-4...   \n",
       "\n",
       "                                                test  build_passing  \n",
       "0  periodic-ci-openshift-release-master-nightly-4...           True  \n",
       "1  periodic-ci-openshift-release-master-nightly-4...           True  \n",
       "2  periodic-ci-openshift-release-master-nightly-4...           True  \n",
       "3  periodic-ci-openshift-release-master-nightly-4...           True  \n",
       "4  periodic-ci-openshift-release-master-nightly-4...          False  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "build_passing_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dbbd60a",
   "metadata": {},
   "source": [
    "## Metric Calculation\n",
    "We want to capture the build pass and build fail percentage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4441ac91",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:43.681329Z",
     "start_time": "2021-03-24T19:18:43.665190Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of Builds: 151535\n",
      "Total number of failing builds: 30906\n",
      "Build failure percentage: 20.395288\n",
      "Total number of passing builds: 44918\n",
      "Build pass percentage: 29.641997\n"
     ]
    }
   ],
   "source": [
    "# Metrics\n",
    "no_tests = build_passing_df.test.count()\n",
    "print(\"Total number of Builds: %i\" % (no_tests))\n",
    "no_failures = build_failures_df.build_failure.sum()\n",
    "print(\"Total number of failing builds: %i\" % (no_failures))\n",
    "build_failures_percentage = (\n",
    "    (build_failures_df.build_failure.sum() / build_failures_df.test.count())\n",
    ") * 100\n",
    "print(\"Build failure percentage: %f\" % (build_failures_percentage))\n",
    "no_pass = build_passing_df.build_passing.sum()\n",
    "print(\"Total number of passing builds: %i\" % (no_pass))\n",
    "build_pass_percentage = (\n",
    "    (build_passing_df.build_passing.sum() / build_passing_df.test.count())\n",
    ") * 100\n",
    "print(\"Build pass percentage: %f\" % (build_pass_percentage))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "392723c0",
   "metadata": {},
   "source": [
    "## Visualization\n",
    "Plot of build success and failure over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fe1c2f02",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:43.691673Z",
     "start_time": "2021-03-24T19:18:43.683391Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_builds_tab_grid(tab, grid, df):\n",
    "\n",
    "    \"\"\"\n",
    "    Takes in input as tab and grid and plots change in\n",
    "    build pass/fail over time\n",
    "    \"\"\"\n",
    "\n",
    "    df = df[(df[\"tab\"] == tab) | (df[\"grid\"] == grid)]\n",
    "\n",
    "    sns.set(rc={\"figure.figsize\": (15, 5)})\n",
    "    sns.lineplot(x=\"timestamp\", y=\"build_status\", data=df)\n",
    "    plt.xlabel(\"Timestamps\")\n",
    "    plt.ylabel(\"Build Pass or Fail\")\n",
    "    plt.title(\"Change in Build Pass or Failure over time\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f85f586f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:47.084942Z",
     "start_time": "2021-03-24T19:18:47.016968Z"
    }
   },
   "outputs": [],
   "source": [
    "combined = pd.merge(\n",
    "    build_failures_df,\n",
    "    build_passing_df,\n",
    "    on=[\"timestamp\", \"tab\", \"grid\", \"test\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "606b2b49",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:49.393295Z",
     "start_time": "2021-03-24T19:18:47.868604Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tab</th>\n",
       "      <th>grid</th>\n",
       "      <th>test</th>\n",
       "      <th>build_failure</th>\n",
       "      <th>build_passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-10-08 00:18:00</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-10-07 20:37:44</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-10-05 16:04:16</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-10-04 20:36:36</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-10-04 00:00:45</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163072</th>\n",
       "      <td>2021-08-12 03:34:12</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163073</th>\n",
       "      <td>2021-08-12 01:55:02</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163074</th>\n",
       "      <td>2021-08-11 01:54:52</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163075</th>\n",
       "      <td>2021-08-10 05:03:51</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163076</th>\n",
       "      <td>2021-08-09 05:03:11</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>163077 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 timestamp                          tab  \\\n",
       "0      2021-10-08 00:18:00  \"redhat-assisted-installer\"   \n",
       "1      2021-10-07 20:37:44  \"redhat-assisted-installer\"   \n",
       "2      2021-10-05 16:04:16  \"redhat-assisted-installer\"   \n",
       "3      2021-10-04 20:36:36  \"redhat-assisted-installer\"   \n",
       "4      2021-10-04 00:00:45  \"redhat-assisted-installer\"   \n",
       "...                    ...                          ...   \n",
       "163072 2021-08-12 03:34:12         \"redhat-single-node\"   \n",
       "163073 2021-08-12 01:55:02         \"redhat-single-node\"   \n",
       "163074 2021-08-11 01:54:52         \"redhat-single-node\"   \n",
       "163075 2021-08-10 05:03:51         \"redhat-single-node\"   \n",
       "163076 2021-08-09 05:03:11         \"redhat-single-node\"   \n",
       "\n",
       "                                                     grid  \\\n",
       "0       periodic-ci-openshift-release-master-nightly-4...   \n",
       "1       periodic-ci-openshift-release-master-nightly-4...   \n",
       "2       periodic-ci-openshift-release-master-nightly-4...   \n",
       "3       periodic-ci-openshift-release-master-nightly-4...   \n",
       "4       periodic-ci-openshift-release-master-nightly-4...   \n",
       "...                                                   ...   \n",
       "163072  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163073  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163074  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163075  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163076  periodic-ci-openshift-release-master-nightly-4...   \n",
       "\n",
       "                                                     test  build_failure  \\\n",
       "0       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "1       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "2       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "3       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "4       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "...                                                   ...            ...   \n",
       "163072                                            Overall           True   \n",
       "163073                                            Overall          False   \n",
       "163074                                            Overall           True   \n",
       "163075                                            Overall          False   \n",
       "163076                                            Overall          False   \n",
       "\n",
       "        build_passing  \n",
       "0                True  \n",
       "1                True  \n",
       "2                True  \n",
       "3                True  \n",
       "4               False  \n",
       "...               ...  \n",
       "163072          False  \n",
       "163073           True  \n",
       "163074          False  \n",
       "163075           True  \n",
       "163076           True  \n",
       "\n",
       "[163077 rows x 6 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b9254276",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:49.690384Z",
     "start_time": "2021-03-24T19:18:49.396238Z"
    }
   },
   "outputs": [],
   "source": [
    "def label_race(row):\n",
    "    if row[\"build_failure\"]:\n",
    "        return \"Fail\"\n",
    "\n",
    "    if row[\"build_passing\"]:\n",
    "        return \"Pass\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "21534155",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:52.697496Z",
     "start_time": "2021-03-24T19:18:51.248065Z"
    }
   },
   "outputs": [],
   "source": [
    "combined[\"build_status\"] = combined.apply(lambda row: label_race(row), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "048f874b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:53.513997Z",
     "start_time": "2021-03-24T19:18:53.498594Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tab</th>\n",
       "      <th>grid</th>\n",
       "      <th>test</th>\n",
       "      <th>build_failure</th>\n",
       "      <th>build_passing</th>\n",
       "      <th>build_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-10-08 00:18:00</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-10-07 20:37:44</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-10-05 16:04:16</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-10-04 20:36:36</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-10-04 00:00:45</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp                          tab  \\\n",
       "0 2021-10-08 00:18:00  \"redhat-assisted-installer\"   \n",
       "1 2021-10-07 20:37:44  \"redhat-assisted-installer\"   \n",
       "2 2021-10-05 16:04:16  \"redhat-assisted-installer\"   \n",
       "3 2021-10-04 20:36:36  \"redhat-assisted-installer\"   \n",
       "4 2021-10-04 00:00:45  \"redhat-assisted-installer\"   \n",
       "\n",
       "                                                grid  \\\n",
       "0  periodic-ci-openshift-release-master-nightly-4...   \n",
       "1  periodic-ci-openshift-release-master-nightly-4...   \n",
       "2  periodic-ci-openshift-release-master-nightly-4...   \n",
       "3  periodic-ci-openshift-release-master-nightly-4...   \n",
       "4  periodic-ci-openshift-release-master-nightly-4...   \n",
       "\n",
       "                                                test  build_failure  \\\n",
       "0  periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "1  periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "2  periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "3  periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "4  periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "\n",
       "   build_passing build_status  \n",
       "0           True         Pass  \n",
       "1           True         Pass  \n",
       "2           True         Pass  \n",
       "3           True         Pass  \n",
       "4          False         None  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b95c3d63",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:55.604953Z",
     "start_time": "2021-03-24T19:18:55.600494Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "163077"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(combined)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1bc650da",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:56.127417Z",
     "start_time": "2021-03-24T19:18:56.109352Z"
    }
   },
   "outputs": [],
   "source": [
    "# since we are only interested in success and failure statuses\n",
    "combined = combined.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "def24f0e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:56.660232Z",
     "start_time": "2021-03-24T19:18:56.655736Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "81148"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(combined)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4fee535d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:57.605148Z",
     "start_time": "2021-03-24T19:18:57.165292Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_builds_tab_grid(\n",
    "    \"redhat-openshift-informing\",\n",
    "    \"release-openshift-okd-installer-e2e-aws-upgrade\",\n",
    "    combined,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "572080c5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:58.055919Z",
     "start_time": "2021-03-24T19:18:57.664904Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_builds_tab_grid(\n",
    "    \"redhat-openshift-ocp-release-4.2-informing\",\n",
    "    \"release-openshift-origin-installer-e2e-aws-upgrade-rollback-4.1-to-4.2\",\n",
    "    combined,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bfb43c6a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:18:59.505261Z",
     "start_time": "2021-03-24T19:18:59.144065Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_builds_tab_grid(\"redhat-osde2e-stage-moa\", \"osde2e-stage-aws-e2e-next-z\", combined)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "44d037b0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-24T19:19:00.943626Z",
     "start_time": "2021-03-24T19:19:00.619323Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_builds_tab_grid(\n",
    "    \"redhat-openshift-ocp-release-4.5-blocking\",\n",
    "    \"release-openshift-origin-installer-e2e-gcp-serial-4.5\",\n",
    "    combined,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3489fda7",
   "metadata": {},
   "source": [
    "## Save to Ceph or local"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "af1990c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "timestamp = datetime.datetime.now()\n",
    "\n",
    "if AUTOMATION:\n",
    "    cc = CephCommunication(s3_endpoint_url, s3_access_key, s3_secret_key, s3_bucket)\n",
    "    cc.upload_to_ceph(\n",
    "        combined,\n",
    "        s3_path,\n",
    "        f\"{METRIC_NAME}/{METRIC_NAME}-{timestamp.year}-{timestamp.month}-{timestamp.day}.parquet\",\n",
    "    )\n",
    "else:\n",
    "    save_to_disk(\n",
    "        combined,\n",
    "        OUTPUT_DATA_PATH,\n",
    "        f\"{METRIC_NAME}-{timestamp.year}-{timestamp.month}-{timestamp.day}.parquet\",\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5cba2777",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tab</th>\n",
       "      <th>grid</th>\n",
       "      <th>test</th>\n",
       "      <th>build_failure</th>\n",
       "      <th>build_passing</th>\n",
       "      <th>build_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-10-08 00:18:00</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-10-07 20:37:44</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-10-05 16:04:16</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-10-04 20:36:36</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-10-04 00:00:45</td>\n",
       "      <td>\"redhat-assisted-installer\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163072</th>\n",
       "      <td>2021-08-12 03:34:12</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Fail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163073</th>\n",
       "      <td>2021-08-12 01:55:02</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163074</th>\n",
       "      <td>2021-08-11 01:54:52</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Fail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163075</th>\n",
       "      <td>2021-08-10 05:03:51</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163076</th>\n",
       "      <td>2021-08-09 05:03:11</td>\n",
       "      <td>\"redhat-single-node\"</td>\n",
       "      <td>periodic-ci-openshift-release-master-nightly-4...</td>\n",
       "      <td>Overall</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>81148 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 timestamp                          tab  \\\n",
       "0      2021-10-08 00:18:00  \"redhat-assisted-installer\"   \n",
       "1      2021-10-07 20:37:44  \"redhat-assisted-installer\"   \n",
       "2      2021-10-05 16:04:16  \"redhat-assisted-installer\"   \n",
       "3      2021-10-04 20:36:36  \"redhat-assisted-installer\"   \n",
       "13     2021-10-04 00:00:45  \"redhat-assisted-installer\"   \n",
       "...                    ...                          ...   \n",
       "163072 2021-08-12 03:34:12         \"redhat-single-node\"   \n",
       "163073 2021-08-12 01:55:02         \"redhat-single-node\"   \n",
       "163074 2021-08-11 01:54:52         \"redhat-single-node\"   \n",
       "163075 2021-08-10 05:03:51         \"redhat-single-node\"   \n",
       "163076 2021-08-09 05:03:11         \"redhat-single-node\"   \n",
       "\n",
       "                                                     grid  \\\n",
       "0       periodic-ci-openshift-release-master-nightly-4...   \n",
       "1       periodic-ci-openshift-release-master-nightly-4...   \n",
       "2       periodic-ci-openshift-release-master-nightly-4...   \n",
       "3       periodic-ci-openshift-release-master-nightly-4...   \n",
       "13      periodic-ci-openshift-release-master-nightly-4...   \n",
       "...                                                   ...   \n",
       "163072  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163073  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163074  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163075  periodic-ci-openshift-release-master-nightly-4...   \n",
       "163076  periodic-ci-openshift-release-master-nightly-4...   \n",
       "\n",
       "                                                     test  build_failure  \\\n",
       "0       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "1       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "2       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "3       periodic-ci-openshift-release-master-nightly-4...          False   \n",
       "13                                                Overall          False   \n",
       "...                                                   ...            ...   \n",
       "163072                                            Overall           True   \n",
       "163073                                            Overall          False   \n",
       "163074                                            Overall           True   \n",
       "163075                                            Overall          False   \n",
       "163076                                            Overall          False   \n",
       "\n",
       "        build_passing build_status  \n",
       "0                True         Pass  \n",
       "1                True         Pass  \n",
       "2                True         Pass  \n",
       "3                True         Pass  \n",
       "13               True         Pass  \n",
       "...               ...          ...  \n",
       "163072          False         Fail  \n",
       "163073           True         Pass  \n",
       "163074          False         Fail  \n",
       "163075           True         Pass  \n",
       "163076           True         Pass  \n",
       "\n",
       "[81148 rows x 7 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Sanity check to see if the dataset is the same\n",
    "if AUTOMATION:\n",
    "    sanity_check = cc.read_from_ceph(\n",
    "        s3_path,\n",
    "        f\"{METRIC_NAME}/{METRIC_NAME}-{timestamp.year}-{timestamp.month}-{timestamp.day}.parquet\",\n",
    "    )\n",
    "else:\n",
    "    sanity_check = read_from_disk(\n",
    "        OUTPUT_DATA_PATH,\n",
    "        f\"{METRIC_NAME}-{timestamp.year}-{timestamp.month}-{timestamp.day}.parquet\",\n",
    "    )\n",
    "\n",
    "sanity_check"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73ce6386",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    "\n",
    "In this Notebook, we use the \"Overall\" as a proxy for a build. Testgrid refers an aggregate of multiple tests performed at a certain timestamp within a Job as a Build and each build has a unique Build ID. In this notebook, we went ahead and used the labels provided by testgrid which classify a test overall as Pass or Fail to indicate build success and failures and thus calculate the percent of success and failures."
   ]
  }
 ],
 "metadata": {
  "finalized": {
   "timestamp": 1616085009075,
   "trusted": false
  },
  "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": "3.8.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}