{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20aa3891",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import csv\n",
    "import sys\n",
    "import os\n",
    "\n",
    "module_path = os.path.abspath(os.path.join(\"..\"))\n",
    "if module_path not in sys.path:\n",
    "    sys.path.append(module_path)\n",
    "\n",
    "from etl.sources.census.etl_utils import get_state_fips_codes\n",
    "from utils import unzip_file_from_url, remove_all_from_dir\n",
    "\n",
    "DATA_PATH = Path.cwd().parent / \"data\"\n",
    "TMP_PATH = DATA_PATH / \"tmp\"\n",
    "CALENVIROSCREEN_FTP_URL = \"https://justice40-data.s3.amazonaws.com/CalEnviroScreen/CalEnviroScreen_4.0_2021.zip\"\n",
    "CSV_PATH = DATA_PATH / \"dataset\" / \"calenviroscreen4\"\n",
    "\n",
    "# Definining some variable names\n",
    "CALENVIROSCREEN_SCORE_FIELD_NAME = \"calenviroscreen_score\"\n",
    "CALENVIROSCREEN_PERCENTILE_FIELD_NAME = \"calenviroscreen_percentile\"\n",
    "CALENVIROSCREEN_PRIORITY_COMMUNITY_FIELD_NAME = \"calenviroscreen_priority_community\"\n",
    "GEOID_TRACT_FIELD_NAME = \"GEOID10_TRACT\"\n",
    "\n",
    "# Choosing constants.\n",
    "# None of these numbers are final, but just for the purposes of comparison.\n",
    "CALENVIROSCREEN_PRIORITY_COMMUNITY_THRESHOLD = 75\n",
    "\n",
    "print(DATA_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc3fb9ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# download file from ejscreen ftp\n",
    "unzip_file_from_url(CALENVIROSCREEN_FTP_URL, TMP_PATH, TMP_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15f66756",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data from https://calenviroscreen-oehha.hub.arcgis.com/#Data, specifically:\n",
    "# https://oehha.ca.gov/media/downloads/calenviroscreen/document/calenviroscreen40resultsdatadictionaryd12021.zip\n",
    "calenviroscreen_4_csv_name = \"CalEnviroScreen_4.0_2021.csv\"\n",
    "calenviroscreen_data_path = TMP_PATH.joinpath(calenviroscreen_4_csv_name)\n",
    "\n",
    "# Load comparison index (CalEnviroScreen 4)\n",
    "calenviroscreen_df = pd.read_csv(\n",
    "    calenviroscreen_data_path, dtype={\"Census Tract\": \"string\"}\n",
    ")\n",
    "\n",
    "calenviroscreen_df.rename(\n",
    "    columns={\n",
    "        \"Census Tract\": GEOID_TRACT_FIELD_NAME,\n",
    "        \"DRAFT CES 4.0 Score\": CALENVIROSCREEN_SCORE_FIELD_NAME,\n",
    "        \"DRAFT CES 4.0 Percentile\": CALENVIROSCREEN_PERCENTILE_FIELD_NAME,\n",
    "    },\n",
    "    inplace=True,\n",
    ")\n",
    "\n",
    "# Add a leading \"0\" to the Census Tract to match our format in other data frames.\n",
    "\n",
    "calenviroscreen_df[GEOID_TRACT_FIELD_NAME] = (\n",
    "    \"0\" + calenviroscreen_df[GEOID_TRACT_FIELD_NAME]\n",
    ")\n",
    "\n",
    "# Calculate the top K% of prioritized communities\n",
    "calenviroscreen_df[CALENVIROSCREEN_PRIORITY_COMMUNITY_FIELD_NAME] = (\n",
    "    calenviroscreen_df[CALENVIROSCREEN_PERCENTILE_FIELD_NAME]\n",
    "    >= CALENVIROSCREEN_PRIORITY_COMMUNITY_THRESHOLD\n",
    ")\n",
    "\n",
    "calenviroscreen_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fa2077a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# write csv\n",
    "CSV_PATH.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "# Matching other conventions in the ETL scripts, write only for the state (FIPS code 06).\n",
    "calenviroscreen_df.to_csv(CSV_PATH / \"data06.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81b977f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# cleanup\n",
    "remove_all_from_dir(TMP_PATH)"
   ]
  }
 ],
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