Fixes #456 - Our data directory should adopt standard python package structure

.gitignore

@@ -133,12 +133,12 @@ cython_debug/
 */data-pipeline/.secrets.*
 
 # ignore data
-*/data-pipeline/data
-*/data-pipeline/data/census
-*/data-pipeline/data/tiles
-*/data-pipeline/data/tmp
-*/data-pipeline/data/dataset
-*/data-pipeline/data/score
+*/data-pipeline/data_pipeline/data
+*/data-pipeline/data_pipeline/data/census
+*/data-pipeline/data_pipeline/data/tiles
+*/data-pipeline/data_pipeline/data/tmp
+*/data-pipeline/data_pipeline/data/dataset
+*/data-pipeline/data_pipeline/data/score
 
 # node
 node_modules

data/data-pipeline/README.md

@@ -5,23 +5,25 @@
 
 <!-- TOC -->
 
-- [About this application](#about-this-application)
-  - [Score comparison workflow](#score-comparison-workflow)
-    - [Workflow Diagram](#workflow-diagram)
-    - [Step 0: Set up your environment](#step-0-set-up-your-environment)
-    - [Step 1: Run the ETL script for each data source](#step-1-run-the-etl-script-for-each-data-source)
-    - [Step 2: Calculate the Justice40 score experiments](#step-2-calculate-the-justice40-score-experiments)
-    - [Step 3: Compare the Justice40 score experiments to other indices](#step-3-compare-the-justice40-score-experiments-to-other-indices)
-  - [Data Sources](#data-sources)
-- [Running using Docker](#running-using-docker)
-- [Log visualization](#log-visualization)
-- [Local development](#local-development)
-  - [Downloading Census Block Groups GeoJSON and Generating CBG CSVs](#downloading-census-block-groups-geojson-and-generating-cbg-csvs)
-  - [Generating mbtiles](#generating-mbtiles)
-  - [Serve the map locally](#serve-the-map-locally)
-  - [Running Jupyter notebooks](#running-jupyter-notebooks)
-  - [Activating variable-enabled Markdown for Jupyter notebooks](#activating-variable-enabled-markdown-for-jupyter-notebooks)
-- [Miscellaneous](#miscellaneous)
+- [Justice 40 Score application](#justice-40-score-application)
+  - [About this application](#about-this-application)
+    - [Score comparison workflow](#score-comparison-workflow)
+      - [Workflow Diagram](#workflow-diagram)
+      - [Step 0: Set up your environment](#step-0-set-up-your-environment)
+      - [Step 1: Run the ETL script for each data source](#step-1-run-the-etl-script-for-each-data-source)
+      - [Step 2: Calculate the Justice40 score experiments](#step-2-calculate-the-justice40-score-experiments)
+      - [Step 3: Compare the Justice40 score experiments to other indices](#step-3-compare-the-justice40-score-experiments-to-other-indices)
+    - [Data Sources](#data-sources)
+  - [Running using Docker](#running-using-docker)
+  - [Local development](#local-development)
+    - [Windows Users](#windows-users)
+    - [Setting up Poetry](#setting-up-poetry)
+    - [Downloading Census Block Groups GeoJSON and Generating CBG CSVs](#downloading-census-block-groups-geojson-and-generating-cbg-csvs)
+    - [Generating mbtiles](#generating-mbtiles)
+    - [Serve the map locally](#serve-the-map-locally)
+    - [Running Jupyter notebooks](#running-jupyter-notebooks)
+    - [Activating variable-enabled Markdown for Jupyter notebooks](#activating-variable-enabled-markdown-for-jupyter-notebooks)
+  - [Miscellaneous](#miscellaneous)
 
 <!-- /TOC -->
 
@@ -33,8 +35,12 @@ This application is used to compare experimental versions of the Justice40 score
 
 _**NOTE:** These scores **do not** represent final versions of the Justice40 scores and are merely used for comparative purposes. As a result, the specific input columns and formulas used to calculate them are likely to change over time._
 
+<<<<<<< Updated upstream
 
 ### Score generation and comparison workflow
+=======
+### Score comparison workflow
+>>>>>>> Stashed changes
 
 The descriptions below provide a more detailed outline of what happens at each step of ETL and score calculation workflow.
 
@@ -44,11 +50,14 @@ TODO add mermaid diagram
 
 #### Step 0: Set up your environment
 
+<<<<<<< Updated upstream
 1. After cloning the project locally, change to this directory: `cd data/data-pipeline`
+=======
+1. After cloning the project locally, change to this directory: `cd data`
+>>>>>>> Stashed changes
 1. Choose whether you'd like to run this application using Docker or if you'd like to install the dependencies locally so you can contribute to the project.
-    - **With Docker:** Follow these [installation instructions](https://docs.docker.com/get-docker/) and skip down to the [Running with Docker section](#running-with-docker) for more information
-    - **For Local Development:** Skip down to the [Local Development section](#local-development) for more detailed installation instructions
-
+   - **With Docker:** Follow these [installation instructions](https://docs.docker.com/get-docker/) and skip down to the [Running with Docker section](#running-with-docker) for more information
+   - **For Local Development:** Skip down to the [Local Development section](#local-development) for more detailed installation instructions
 
 #### Step 1: Run the ETL script for each data source
 
@@ -68,8 +77,8 @@ _For example: `poetry run python application.py etl-run -d ejscreen` would only
    - With Poetry: `poetry run python application.py score-run`
 1. The `score-run` command will execute the `etl/score/etl.py` script which loads the data from each of the source files added to the `data/dataset/` directory by the ETL scripts in Step 1.
 1. These data sets are merged into a single dataframe using their Census Block Group GEOID as a common key, and the data in each of the columns is standardized in two ways:
-    - Their [percentile rank](https://en.wikipedia.org/wiki/Percentile_rank) is calculated, which tells us what percentage of other Census Block Groups have a lower value for that particular column.
-    - They are normalized using [min-max normalization](https://en.wikipedia.org/wiki/Feature_scaling), which adjusts the scale of the data so that the Census Block Group with the highest value for that column is set to 1, the Census Block Group with the lowest value is set to 0, and all of the other values are adjusted to fit within that range based on how close they were to the highest or lowest value.
+   - Their [percentile rank](https://en.wikipedia.org/wiki/Percentile_rank) is calculated, which tells us what percentage of other Census Block Groups have a lower value for that particular column.
+   - They are normalized using [min-max normalization](https://en.wikipedia.org/wiki/Feature_scaling), which adjusts the scale of the data so that the Census Block Group with the highest value for that column is set to 1, the Census Block Group with the lowest value is set to 0, and all of the other values are adjusted to fit within that range based on how close they were to the highest or lowest value.
 1. The standardized columns are then used to calculate each of the Justice40 score experiments described in greater detail below, and the results are exported to a `.csv` file in [`data/score/csv`](data/score/csv)
 
 #### Step 3: Compare the Justice40 score experiments to other indices
@@ -110,7 +119,6 @@ To run this comparison tool:
 - **[HUD Recap](etl/sources/hud_recap):** TODO Add description of data source
 - **[CalEnviroScreen](etl/scores/calenviroscreen):** TODO Add description of data source
 
-
 ## Running using Docker
 
 We use Docker to install the necessary libraries in a container that can be run in any operating system.
@@ -136,6 +144,7 @@ Here's a list of commands:
 You can run the Python code locally without Docker to develop, using Poetry. However, to generate the census data you will need the [GDAL library](https://github.com/OSGeo/gdal) installed locally. Also to generate tiles for a local map, you will need [Mapbox tippeanoe](https://github.com/mapbox/tippecanoe). Please refer to the repos for specific instructions for your OS.
 
 ### Windows Users
+
 - If you want to download Census data or run tile generation, please install TippeCanoe [following these instrcutions](https://github.com/GISupportICRC/ArcGIS2Mapbox#installing-tippecanoe-on-windows).
 - If you want to generate tiles, you need some pre-requisites for Geopandas as specified in the Poetry requirements. Please follow [these instructions](https://stackoverflow.com/questions/56958421/pip-install-geopandas-on-windows) to install the Geopandas dependency locally.
 

data/data-pipeline/data/census/csv/fips_states_2010.csv

@@ -1,53 +0,0 @@
-fips,state_name,state_abbreviation,region,division
-01,Alabama,AL,South,East South Central
-02,Alaska,AK,West,Pacific
-04,Arizona,AZ,West,Mountain
-05,Arkansas,AR,South,West South Central
-06,California,CA,West,Pacific
-08,Colorado,CO,West,Mountain
-09,Connecticut,CT,Northeast,New England
-10,Delaware,DE,South,South Atlantic
-11,District of Columbia,DC,South,South Atlantic
-12,Florida,FL,South,South Atlantic
-13,Georgia,GA,South,South Atlantic
-15,Hawaii,HI,West,Pacific
-16,Idaho,ID,West,Mountain
-17,Illinois,IL,Midwest,East North Central
-18,Indiana,IN,Midwest,East North Central
-19,Iowa,IA,Midwest,West North Central
-20,Kansas,KS,Midwest,West North Central
-21,Kentucky,KY,South,East South Central
-22,Louisiana,LA,South,West South Central
-23,Maine,ME,Northeast,New England
-24,Maryland,MD,South,South Atlantic
-25,Massachusetts,MA,Northeast,New England
-26,Michigan,MI,Midwest,East North Central
-27,Minnesota,MN,Midwest,West North Central
-28,Mississippi,MS,South,East South Central
-29,Missouri,MO,Midwest,West North Central
-30,Montana,MT,West,Mountain
-31,Nebraska,NE,Midwest,West North Central
-32,Nevada,NV,West,Mountain
-33,New Hampshire,NH,Northeast,New England
-34,New Jersey,NJ,Northeast,Middle Atlantic
-35,New Mexico,NM,West,Mountain
-36,New York,NY,Northeast,Middle Atlantic
-37,North Carolina,NC,South,South Atlantic
-38,North Dakota,ND,Midwest,West North Central
-39,Ohio,OH,Midwest,East North Central
-40,Oklahoma,OK,South,West South Central
-41,Oregon,OR,West,Pacific
-42,Pennsylvania,PA,Northeast,Middle Atlantic
-44,Rhode Island,RI,Northeast,New England
-45,South Carolina,SC,South,South Atlantic
-46,South Dakota,SD,Midwest,West North Central
-47,Tennessee,TN,South,East South Central
-48,Texas,TX,South,West South Central
-49,Utah,UT,West,Mountain
-50,Vermont,VT,Northeast,New England
-51,Virginia,VA,South,South Atlantic
-53,Washington,WA,West,Pacific
-54,West Virginia,WV,South,South Atlantic
-55,Wisconsin,WI,Midwest,East North Central
-56,Wyoming,WY,West,Mountain
-72,Puerto Rico,PR,Puerto Rico,Puerto Rico

data/data-pipeline/data_pipeline/application.py

@@ -1,16 +1,16 @@
 import click
 
-from config import settings
-from utils import (
-    get_module_logger,
+from .config import settings
+from .etl.runner import etl_runner, score_generate, score_geo
+from .etl.sources.census.etl import download_census_csvs
+from .etl.sources.census.etl_utils import reset_data_directories as census_reset
+from .tile.generate import generate_tiles
+from .utils import (
     data_folder_cleanup,
+    get_module_logger,
     score_folder_cleanup,
     temp_folder_cleanup,
 )
-from etl.sources.census.etl import download_census_csvs
-from etl.sources.census.etl_utils import reset_data_directories as census_reset
-from etl.runner import etl_runner, score_generate, score_geo
-from tile.generate import generate_tiles
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/config.py

@@ -1,4 +1,5 @@
 from pathlib import Path
+from importlib.resources import path
 
 from dynaconf import Dynaconf
 
@@ -9,7 +10,8 @@ settings = Dynaconf(
 )
 
 # set root dir
-settings.APP_ROOT = Path.cwd()
+with path(__package__, ".") as p:
+    settings.APP_ROOT = p
 
 # To set an environment use:
 # Linux/OSX: export ENV_FOR_DYNACONF=staging

data/data-pipeline/data_pipeline/etl/base.py

@@ -1,7 +1,7 @@
 from pathlib import Path
 
-from config import settings
-from utils import unzip_file_from_url, remove_all_from_dir
+from data_pipeline.config import settings
+from data_pipeline.utils import unzip_file_from_url, remove_all_from_dir
 
 
 class ExtractTransformLoad:

data/data-pipeline/data_pipeline/etl/runner.py

@@ -1,8 +1,8 @@
 import importlib
 
-from etl.score.etl_score import ScoreETL
-from etl.score.etl_score_post import PostScoreETL
-from etl.score.etl_score_geo import GeoScoreETL
+from data_pipeline.etl.score.etl_score import ScoreETL
+from data_pipeline.etl.score.etl_score_geo import GeoScoreETL
+from data_pipeline.etl.score.etl_score_post import PostScoreETL
 
 
 def etl_runner(dataset_to_run: str = None) -> None:
@@ -67,7 +67,9 @@ def etl_runner(dataset_to_run: str = None) -> None:
 
     # Run the ETLs for the dataset_list
     for dataset in dataset_list:
-        etl_module = importlib.import_module(f"etl.sources.{dataset['module_dir']}.etl")
+        etl_module = importlib.import_module(
+            f"data_pipeline.etl.sources.{dataset['module_dir']}.etl"
+        )
         etl_class = getattr(etl_module, dataset["class_name"])
         etl_instance = etl_class()
 

data/data-pipeline/data_pipeline/etl/score/etl_score.py

@@ -1,9 +1,9 @@
 import collections
 import functools
-import pandas as pd
 
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+import pandas as pd
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py

@@ -3,8 +3,8 @@ import math
 import pandas as pd
 import geopandas as gpd
 
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 
@@ -156,4 +156,4 @@ class GeoScoreETL(ExtractTransformLoad):
 
         logger.info("Writing usa-low (~9 minutes)")
         self.geojson_score_usa_low.to_file(self.SCORE_LOW_GEOJSON, driver="GeoJSON")
-        logger.info("Completed writing usa-low")
+        logger.info("Completed writing usa-low")

data/data-pipeline/data_pipeline/etl/score/etl_score_post.py

@@ -1,7 +1,7 @@
 import pandas as pd
 
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/calenviroscreen/etl.py

@@ -1,7 +1,7 @@
 import pandas as pd
 
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/census/etl.py

@@ -1,11 +1,11 @@
-import os
 import csv
 import json
+import os
 from pathlib import Path
 
 import geopandas as gpd
+from data_pipeline.utils import get_module_logger, unzip_file_from_url
 
-from utils import unzip_file_from_url, get_module_logger
 from .etl_utils import get_state_fips_codes
 
 logger = get_module_logger(__name__)

data/data-pipeline/data_pipeline/etl/sources/census/etl_utils.py

@@ -1,15 +1,14 @@
-import os
 import csv
-
+import os
 from pathlib import Path
-import pandas as pd
-from config import settings
 
-from utils import (
-    remove_files_from_dir,
-    remove_all_dirs_from_dir,
-    unzip_file_from_url,
+import pandas as pd
+from data_pipeline.config import settings
+from data_pipeline.utils import (
     get_module_logger,
+    remove_all_dirs_from_dir,
+    remove_files_from_dir,
+    unzip_file_from_url,
 )
 
 logger = get_module_logger(__name__)

data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py

@@ -1,9 +1,9 @@
 import pandas as pd
 import censusdata
 
-from etl.base import ExtractTransformLoad
-from etl.sources.census.etl_utils import get_state_fips_codes
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.etl.sources.census.etl_utils import get_state_fips_codes
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/ejscreen/etl.py

@@ -1,7 +1,7 @@
 import pandas as pd
 
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/housing_and_transportation/etl.py

@@ -1,8 +1,8 @@
 import pandas as pd
 
-from etl.base import ExtractTransformLoad
-from etl.sources.census.etl_utils import get_state_fips_codes
-from utils import get_module_logger, unzip_file_from_url
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.etl.sources.census.etl_utils import get_state_fips_codes
+from data_pipeline.utils import get_module_logger, unzip_file_from_url
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/hud_housing/etl.py

@@ -1,7 +1,6 @@
 import pandas as pd
-
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/hud_recap/etl.py

@@ -1,8 +1,8 @@
 import pandas as pd
 import requests
 
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/etl/sources/tree_equity_score/etl.py

@@ -1,8 +1,7 @@
-import pandas as pd
 import geopandas as gpd
-
-from etl.base import ExtractTransformLoad
-from utils import get_module_logger
+import pandas as pd
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/ipython/county_lookup.ipynb

@@ -3,38 +3,33 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7185e18d",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import csv\n",
     "from pathlib import Path\n",
     "import os\n",
     "import sys"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "174bbd09",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "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 utils import unzip_file_from_url\n",
-    "from etl.sources.census.etl_utils import get_state_fips_codes"
-   ]
+    "from data_pipeline.utils import unzip_file_from_url\n",
+    "from data_pipeline.etl.sources.census.etl_utils import get_state_fips_codes"
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dd090fcc",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "DATA_PATH = Path.cwd().parent / \"data\"\n",
     "TMP_PATH: Path = DATA_PATH / \"tmp\"\n",
@@ -43,98 +38,92 @@
     "COUNTY_SCORE_CSV = DATA_PATH / \"score\" / \"csv\" / \"usa-county.csv\"\n",
     "CENSUS_COUNTIES_ZIP_URL = \"https://www2.census.gov/geo/docs/maps-data/data/gazetteer/2020_Gazetteer/2020_Gaz_counties_national.zip\"\n",
     "CENSUS_COUNTIES_TXT = TMP_PATH / \"2020_Gaz_counties_national.txt\""
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cf2e266b",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
    "source": [
     "unzip_file_from_url(CENSUS_COUNTIES_ZIP_URL, TMP_PATH, TMP_PATH)"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {
+    "scrolled": true
+   }
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9ff96da8",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "counties_df = pd.read_csv(CENSUS_COUNTIES_TXT, sep=\"\\t\", dtype={\"GEOID\": \"string\", \"USPS\": \"string\"}, low_memory=False)\n",
     "counties_df = counties_df[['USPS', 'GEOID', 'NAME']]\n",
     "counties_df.rename(columns={\"USPS\": \"State Abbreviation\", \"NAME\": \"County Name\"}, inplace=True)\n",
     "counties_df.head()"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5af103da",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "states_df = pd.read_csv(STATE_CSV, dtype={\"fips\": \"string\", \"state_abbreviation\": \"string\"})\n",
     "states_df.rename(columns={\"fips\": \"State Code\", \"state_name\": \"State Name\", \"state_abbreviation\": \"State Abbreviation\"}, inplace=True)\n",
     "states_df.head()"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c8680258",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "county_state_merged = counties_df.join(states_df, rsuffix=' Other')\n",
     "del county_state_merged[\"State Abbreviation Other\"]\n",
     "county_state_merged.head()"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "58dca55a",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "score_df = pd.read_csv(SCORE_CSV, dtype={\"GEOID10\": \"string\"})\n",
     "score_df[\"GEOID\"] = score_df.GEOID10.str[:5]\n",
     "score_df.head()"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "45e04d42",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "score_county_state_merged = score_df.join(county_state_merged, rsuffix='_OTHER')\n",
     "del score_county_state_merged[\"GEOID_OTHER\"]\n",
     "score_county_state_merged.head()"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a5a0b32b",
-   "metadata": {},
-   "outputs": [],
    "source": [
     "score_county_state_merged.to_csv(COUNTY_SCORE_CSV, index=False)"
-   ]
+   ],
+   "outputs": [],
+   "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b690937e",
-   "metadata": {},
+   "source": [],
    "outputs": [],
-   "source": []
+   "metadata": {}
   }
  ],
  "metadata": {
@@ -158,4 +147,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

data/data-pipeline/data_pipeline/tile/generate.py

@@ -1,9 +1,8 @@
-from pathlib import Path
 import os
+from pathlib import Path
 from subprocess import call
 
-from utils import remove_all_from_dir
-from utils import get_module_logger
+from data_pipeline.utils import get_module_logger, remove_all_from_dir
 
 logger = get_module_logger(__name__)
 

data/data-pipeline/data_pipeline/utils.py

@@ -1,13 +1,13 @@
-from pathlib import Path
-import os
 import logging
+import os
 import shutil
 import zipfile
-import urllib3
+from pathlib import Path
 
 import requests
+import urllib3
 
-from config import settings
+from .config import settings
 
 
 def get_module_logger(module_name: str) -> logging.Logger:

data/data-pipeline/poetry.lock

@@ -33,7 +33,7 @@ tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
 [[package]]
 name = "astroid"
-version = "2.6.5"
+version = "2.6.6"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -53,6 +53,14 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "atomicwrites"
+version = "1.4.0"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
 [[package]]
 name = "attrs"
 version = "21.2.0"
@@ -116,11 +124,11 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "bleach"
-version = "3.3.1"
+version = "4.0.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
 packaging = "*"
@@ -129,7 +137,7 @@ webencodings = "*"
 
 [[package]]
 name = "censusdata"
-version = "1.13"
+version = "1.14"
 description = "Download data from U.S. Census API"
 category = "main"
 optional = false
@@ -160,7 +168,7 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.0.3"
+version = "2.0.4"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
@@ -231,7 +239,7 @@ testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pyt
 
 [[package]]
 name = "debugpy"
-version = "1.4.0"
+version = "1.4.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "main"
 optional = false
@@ -385,6 +393,14 @@ zipp = ">=0.5"
 docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
 testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
 
+[[package]]
+name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "ipykernel"
 version = "6.0.3"
@@ -408,7 +424,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "ipyparallel"]
 
 [[package]]
 name = "ipython"
-version = "7.25.0"
+version = "7.26.0"
 description = "IPython: Productive Interactive Computing"
 category = "main"
 optional = false
@@ -932,7 +948,7 @@ pyparsing = ">=2.0.2"
 
 [[package]]
 name = "pandas"
-version = "1.3.0"
+version = "1.3.1"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
@@ -995,11 +1011,15 @@ python-versions = "*"
 
 [[package]]
 name = "platformdirs"
-version = "2.0.2"
+version = "2.2.0"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
+
+[package.extras]
+docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
+test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
 
 [[package]]
 name = "pluggy"
@@ -1127,6 +1147,28 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "pytest"
+version = "6.2.4"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+attrs = ">=19.2.0"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<1.0.0a1"
+py = ">=1.8.2"
+toml = "*"
+
+[package.extras]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+
 [[package]]
 name = "python-dateutil"
 version = "2.8.2"
@@ -1172,7 +1214,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [[package]]
 name = "pyzmq"
-version = "22.1.0"
+version = "22.2.0"
 description = "Python bindings for 0MQ"
 category = "main"
 optional = false
@@ -1214,7 +1256,7 @@ python-versions = "*"
 
 [[package]]
 name = "regex"
-version = "2021.7.6"
+version = "2021.8.3"
 description = "Alternative regular expression module, to replace re."
 category = "dev"
 optional = false
@@ -1329,7 +1371,7 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "tomli"
-version = "1.1.0"
+version = "1.2.0"
 description = "A lil' TOML parser"
 category = "dev"
 optional = false
@@ -1345,7 +1387,7 @@ python-versions = ">= 3.5"
 
 [[package]]
 name = "tox"
-version = "3.24.0"
+version = "3.24.1"
 description = "tox is a generic virtualenv management and test command line tool"
 category = "dev"
 optional = false
@@ -1390,7 +1432,7 @@ python-versions = "*"
 
 [[package]]
 name = "types-requests"
-version = "2.25.0"
+version = "2.25.2"
 description = "Typing stubs for requests"
 category = "main"
 optional = false
@@ -1419,7 +1461,7 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.6.0"
+version = "20.7.0"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@@ -1435,7 +1477,7 @@ six = ">=1.9.0,<2"
 
 [package.extras]
 docs = ["proselint (>=0.10.2)", "sphinx (>=3)", "sphinx-argparse (>=0.2.5)", "sphinx-rtd-theme (>=0.4.3)", "towncrier (>=19.9.0rc1)"]
-testing = ["coverage (>=4)", "coverage-enable-subprocess (>=1)", "flaky (>=3)", "pytest (>=4)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.1)", "pytest-mock (>=2)", "pytest-randomly (>=1)", "pytest-timeout (>=1)", "packaging (>=20.0)", "xonsh (>=0.9.16)"]
+testing = ["coverage (>=4)", "coverage-enable-subprocess (>=1)", "flaky (>=3)", "pytest (>=4)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.1)", "pytest-mock (>=2)", "pytest-randomly (>=1)", "pytest-timeout (>=1)", "packaging (>=20.0)"]
 
 [[package]]
 name = "wcwidth"
@@ -1487,7 +1529,7 @@ testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytes
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.7.1"
-content-hash = "705b0cf25d9ecd3028ba5b71581b5139608cb3b0b4d13c4817b4f3a49643308c"
+content-hash = "6fcf0825ce80c30181c920385d4e9b5e79ac6930b9a59526a916703795977f76"
 
 [metadata.files]
 appdirs = [
@@ -1523,13 +1565,17 @@ argon2-cffi = [
     {file = "argon2_cffi-20.1.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:36320372133a003374ef4275fbfce78b7ab581440dfca9f9471be3dd9a522428"},
 ]
 astroid = [
-    {file = "astroid-2.6.5-py3-none-any.whl", hash = "sha256:7b963d1c590d490f60d2973e57437115978d3a2529843f160b5003b721e1e925"},
-    {file = "astroid-2.6.5.tar.gz", hash = "sha256:83e494b02d75d07d4e347b27c066fd791c0c74fc96c613d1ea3de0c82c48168f"},
+    {file = "astroid-2.6.6-py3-none-any.whl", hash = "sha256:ab7f36e8a78b8e54a62028ba6beef7561db4cdb6f2a5009ecc44a6f42b5697ef"},
+    {file = "astroid-2.6.6.tar.gz", hash = "sha256:3975a0bd5373bdce166e60c851cfcbaf21ee96de80ec518c1f4cb3e94c3fb334"},
 ]
 async-generator = [
     {file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
     {file = "async_generator-1.10.tar.gz", hash = "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"},
 ]
+atomicwrites = [
+    {file = "atomicwrites-1.4.0-py2.py3-none-any.whl", hash = "sha256:6d1784dea7c0c8d4a5172b6c620f40b6e4cbfdf96d783691f2e1302a7b88e197"},
+    {file = "atomicwrites-1.4.0.tar.gz", hash = "sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a"},
+]
 attrs = [
     {file = "attrs-21.2.0-py2.py3-none-any.whl", hash = "sha256:149e90d6d8ac20db7a955ad60cf0e6881a3f20d37096140088356da6c716b0b1"},
     {file = "attrs-21.2.0.tar.gz", hash = "sha256:ef6aaac3ca6cd92904cdd0d83f629a15f18053ec84e6432106f7a4d04ae4f5fb"},
@@ -1547,11 +1593,11 @@ black = [
     {file = "black-21.7b0.tar.gz", hash = "sha256:c8373c6491de9362e39271630b65b964607bc5c79c83783547d76c839b3aa219"},
 ]
 bleach = [
-    {file = "bleach-3.3.1-py2.py3-none-any.whl", hash = "sha256:ae976d7174bba988c0b632def82fdc94235756edfb14e6558a9c5be555c9fb78"},
-    {file = "bleach-3.3.1.tar.gz", hash = "sha256:306483a5a9795474160ad57fce3ddd1b50551e981eed8e15a582d34cef28aafa"},
+    {file = "bleach-4.0.0-py2.py3-none-any.whl", hash = "sha256:c1685a132e6a9a38bf93752e5faab33a9517a6c0bb2f37b785e47bf253bdb51d"},
+    {file = "bleach-4.0.0.tar.gz", hash = "sha256:ffa9221c6ac29399cc50fcc33473366edd0cf8d5e2cbbbb63296dc327fb67cc8"},
 ]
 censusdata = [
-    {file = "CensusData-1.13.tar.gz", hash = "sha256:c2cc6ea93cb704f84fe4dda84925884c220bdf5dc8e5dd1a4b63a068f6a16ba8"},
+    {file = "CensusData-1.14.tar.gz", hash = "sha256:fd7bf06c797070d23df98cbaa60897ee98b265724e6d582b421b25f0f4cfcff6"},
 ]
 certifi = [
     {file = "certifi-2021.5.30-py2.py3-none-any.whl", hash = "sha256:50b1e4f8446b06f41be7dd6338db18e0990601dce795c2b1686458aa7e8fa7d8"},
@@ -1565,11 +1611,6 @@ cffi = [
     {file = "cffi-1.14.6-cp27-cp27m-win_amd64.whl", hash = "sha256:7bcac9a2b4fdbed2c16fa5681356d7121ecabf041f18d97ed5b8e0dd38a80224"},
     {file = "cffi-1.14.6-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:ed38b924ce794e505647f7c331b22a693bee1538fdf46b0222c4717b42f744e7"},
     {file = "cffi-1.14.6-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:e22dcb48709fc51a7b58a927391b23ab37eb3737a98ac4338e2448bef8559b33"},
-    {file = "cffi-1.14.6-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:aedb15f0a5a5949ecb129a82b72b19df97bbbca024081ed2ef88bd5c0a610534"},
-    {file = "cffi-1.14.6-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:48916e459c54c4a70e52745639f1db524542140433599e13911b2f329834276a"},
-    {file = "cffi-1.14.6-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:f627688813d0a4140153ff532537fbe4afea5a3dffce1f9deb7f91f848a832b5"},
-    {file = "cffi-1.14.6-cp35-cp35m-win32.whl", hash = "sha256:f0010c6f9d1a4011e429109fda55a225921e3206e7f62a0c22a35344bfd13cca"},
-    {file = "cffi-1.14.6-cp35-cp35m-win_amd64.whl", hash = "sha256:57e555a9feb4a8460415f1aac331a2dc833b1115284f7ded7278b54afc5bd218"},
     {file = "cffi-1.14.6-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e8c6a99be100371dbb046880e7a282152aa5d6127ae01783e37662ef73850d8f"},
     {file = "cffi-1.14.6-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:19ca0dbdeda3b2615421d54bef8985f72af6e0c47082a8d26122adac81a95872"},
     {file = "cffi-1.14.6-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:d950695ae4381ecd856bcaf2b1e866720e4ab9a1498cba61c602e56630ca7195"},
@@ -1605,8 +1646,8 @@ cffi = [
     {file = "cffi-1.14.6.tar.gz", hash = "sha256:c9a875ce9d7fe32887784274dd533c57909b7b1dcadcc128a2ac21331a9765dd"},
 ]
 charset-normalizer = [
-    {file = "charset-normalizer-2.0.3.tar.gz", hash = "sha256:c46c3ace2d744cfbdebceaa3c19ae691f53ae621b39fd7570f59d14fb7f2fd12"},
-    {file = "charset_normalizer-2.0.3-py3-none-any.whl", hash = "sha256:88fce3fa5b1a84fdcb3f603d889f723d1dd89b26059d0123ca435570e848d5e1"},
+    {file = "charset-normalizer-2.0.4.tar.gz", hash = "sha256:f23667ebe1084be45f6ae0538e4a5a865206544097e4e8bbcacf42cd02a348f3"},
+    {file = "charset_normalizer-2.0.4-py3-none-any.whl", hash = "sha256:0c8911edd15d19223366a194a513099a302055a962bca2cec0f54b8b63175d8b"},
 ]
 click = [
     {file = "click-8.0.1-py3-none-any.whl", hash = "sha256:fba402a4a47334742d782209a7c79bc448911afe1149d07bdabdf480b3e2f4b6"},
@@ -1629,62 +1670,62 @@ configparser = [
     {file = "configparser-5.0.2.tar.gz", hash = "sha256:85d5de102cfe6d14a5172676f09d19c465ce63d6019cf0a4ef13385fc535e828"},
 ]
 debugpy = [
-    {file = "debugpy-1.4.0-cp27-cp27m-macosx_10_14_x86_64.whl", hash = "sha256:55d12ee03b3b705af5250b8344a87fbd9bb720d00bd9d281d2998dbf9f60c8d3"},
-    {file = "debugpy-1.4.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:712ef6a4be1ee4b9a954c6f36788ac12686dc1d5eeef501e0b81e1c89c16484d"},
-    {file = "debugpy-1.4.0-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:93596f34a3a27b0023fdb5313600cf25035739e246864d1d6c60d16e2a337e36"},
-    {file = "debugpy-1.4.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:651696be9ca40384dd17f048ada32fba9049dec15e7d12be24b0452fd211ea80"},
-    {file = "debugpy-1.4.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:07f93fa6c6162e199c4f168619c87ae5f5bca1c1331f46399684bfb38d307fd9"},
-    {file = "debugpy-1.4.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:d3130bec374b2a07edeeb21b7bd3a88a8b83a37b4adc4c13468c5f40f503825d"},
-    {file = "debugpy-1.4.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:8d77d4a0ab72c5a60df0618385be0562b938f6f5844a7f2f3031fa832167392c"},
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+    {file = "regex-2021.8.3.tar.gz", hash = "sha256:8935937dad2c9b369c3d932b0edbc52a62647c2afb2fafc0c280f14a8bf56a6a"},
 ]
 requests = [
     {file = "requests-2.26.0-py2.py3-none-any.whl", hash = "sha256:6c1246513ecd5ecd4528a0906f910e8f0f9c6b8ec72030dc9fd154dc1a6efd24"},
@@ -2360,8 +2399,8 @@ toml = [
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
 ]
 tomli = [
-    {file = "tomli-1.1.0-py3-none-any.whl", hash = "sha256:f4a182048010e89cbec0ae4686b21f550a7f2903f665e34a6de58ec15424f919"},
-    {file = "tomli-1.1.0.tar.gz", hash = "sha256:33d7984738f8bb699c9b0a816eb646a8178a69eaa792d258486776a5d21b8ca5"},
+    {file = "tomli-1.2.0-py3-none-any.whl", hash = "sha256:056f0376bf5a6b182c513f9582c1e5b0487265eb6c48842b69aa9ca1cd5f640a"},
+    {file = "tomli-1.2.0.tar.gz", hash = "sha256:d60e681734099207a6add7a10326bc2ddd1fdc36c1b0f547d00ef73ac63739c2"},
 ]
 tornado = [
     {file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
@@ -2407,8 +2446,8 @@ tornado = [
     {file = "tornado-6.1.tar.gz", hash = "sha256:33c6e81d7bd55b468d2e793517c909b139960b6c790a60b7991b9b6b76fb9791"},
 ]
 tox = [
-    {file = "tox-3.24.0-py2.py3-none-any.whl", hash = "sha256:c990028355f0d0b681e3db9baa89dd9f839a6e999c320029339f6a6b36160591"},
-    {file = "tox-3.24.0.tar.gz", hash = "sha256:67636634df6569e450c4bc18fdfd8b84d7903b3902d5c65416eb6735f3d4afb8"},
+    {file = "tox-3.24.1-py2.py3-none-any.whl", hash = "sha256:60eda26fa47b7130e6fc1145620b1fd897963af521093c3685c3f63d1c394029"},
+    {file = "tox-3.24.1.tar.gz", hash = "sha256:9850daeb96d21b4abf049bc5f197426123039e383ebfed201764e9355fc5a880"},
 ]
 traitlets = [
     {file = "traitlets-5.0.5-py3-none-any.whl", hash = "sha256:69ff3f9d5351f31a7ad80443c2674b7099df13cc41fc5fa6e2f6d3b0330b0426"},
@@ -2447,8 +2486,8 @@ typed-ast = [
     {file = "typed_ast-1.4.3.tar.gz", hash = "sha256:fb1bbeac803adea29cedd70781399c99138358c26d05fcbd23c13016b7f5ec65"},
 ]
 types-requests = [
-    {file = "types-requests-2.25.0.tar.gz", hash = "sha256:ee0d0c507210141b7d5b8639cc43eaa726084178775db2a5fb06fbf85c185808"},
-    {file = "types_requests-2.25.0-py3-none-any.whl", hash = "sha256:fa5c1e5e832ff6193507d8da7e1159281383908ee193a2f4b37bc08140b51844"},
+    {file = "types-requests-2.25.2.tar.gz", hash = "sha256:03122b582f5300ec35ac6692f2634207c467e602dc9ba46b5811a9f6ce0b0bc2"},
+    {file = "types_requests-2.25.2-py3-none-any.whl", hash = "sha256:a4c03c654527957a70002079ca48669b53d82eac4811abf140ea93847b65529b"},
 ]
 typing-extensions = [
     {file = "typing_extensions-3.10.0.0-py2-none-any.whl", hash = "sha256:0ac0f89795dd19de6b97debb0c6af1c70987fd80a2d62d1958f7e56fcc31b497"},
@@ -2460,8 +2499,8 @@ urllib3 = [
     {file = "urllib3-1.26.6.tar.gz", hash = "sha256:f57b4c16c62fa2760b7e3d97c35b255512fb6b59a259730f36ba32ce9f8e342f"},
 ]
 virtualenv = [
-    {file = "virtualenv-20.6.0-py2.py3-none-any.whl", hash = "sha256:e4fc84337dce37ba34ef520bf2d4392b392999dbe47df992870dc23230f6b758"},
-    {file = "virtualenv-20.6.0.tar.gz", hash = "sha256:51df5d8a2fad5d1b13e088ff38a433475768ff61f202356bb9812c454c20ae45"},
+    {file = "virtualenv-20.7.0-py2.py3-none-any.whl", hash = "sha256:fdfdaaf0979ac03ae7f76d5224a05b58165f3c804f8aa633f3dd6f22fbd435d5"},
+    {file = "virtualenv-20.7.0.tar.gz", hash = "sha256:97066a978431ec096d163e72771df5357c5c898ffdd587048f45e0aecc228094"},
 ]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},

data/data-pipeline/pyproject.toml

@@ -1,11 +1,11 @@
 [tool.poetry]
 authors = ["Your Name <you@example.com>"]
 description = "ETL and Generation of Justice 40 Score"
-name = "score"
-version = "0.1.0"
+name = "data-pipeline"
 packages = [
-    { include = "etl" },  # required for poetry packaging to install in tox
+  {include = "etl"}, # required for poetry packaging to install in tox
 ]
+version = "0.1.0"
 
 [tool.poetry.dependencies]
 CensusData = "^1.13"
@@ -23,12 +23,13 @@ types-requests = "^2.25.0"
 
 [tool.poetry.dev-dependencies]
 black = {version = "^21.6b0", allow-prereleases = true}
-mypy = "^0.910"
-tox = "^3.24.0"
 flake8 = "^3.9.2"
-pylint = "^2.9.6"
 liccheck = "^0.6.2"
+mypy = "^0.910"
+pylint = "^2.9.6"
+pytest = "^6.2.4"
 safety = "^1.10.3"
+tox = "^3.24.0"
 
 [build-system]
 build-backend = "poetry.core.masonry.api"
@@ -38,66 +39,69 @@ requires = ["poetry-core>=1.0.0"]
 
 [tool.pylint."MESSAGE CONTROL"]
 disable = [
-  "C0114",  # Disables module docstrings
-  "R0201",  # Disables method could have been a function
-  "R0903",  # Disables too few public methods
-  "C0103",  # Disables name case styling
-  "W0511",  # Disables FIXME warning
-  "W1203",  # Disables f-string interpolation for logging warning
-  # Errors temporarily ignored for further discussion
-  "W0107",  # Disables unnecessary pass
-  "W0221",  # Disables arguments differ
-  "R0902",  # Disables too many instance attributes
-  "R0914",  # Disables too many local variables
-  "W0621",  # Disables redefined outer name
-  "C0302",  # Disables too many lines in module
-  "R1732",  # Disables consider using "with"
-  "R1720",  # Disables unnecessary "else" after "raise"
-  "C0206",  # Disables consider iteratig with ".items()"
-  "C0200",  # Disables consider using "enumerate" instead of "range" + "len"
-  "W0612",  # Disables unused variable
-  "W0613",  # Disables unused argument
-  "C0116",  # Disables missing function or method docstring
-  "C0115",  # Disables missing class docstring
+  "C0114", # Disables module docstrings
+  "R0201", # Disables method could have been a function
+  "R0903", # Disables too few public methods
+  "C0103", # Disables name case styling
+  "W0511", # Disables FIXME warning
+  "W1203", # Disables f-string interpolation for logging warning  # Errors temporarily ignored for further discussion
+  "W0107", # Disables unnecessary pass
+  "W0221", # Disables arguments differ
+  "R0902", # Disables too many instance attributes
+  "R0914", # Disables too many local variables
+  "W0621", # Disables redefined outer name
+  "C0302", # Disables too many lines in module
+  "R1732", # Disables consider using "with"
+  "R1720", # Disables unnecessary "else" after "raise"
+  "C0206", # Disables consider iteratig with ".items()"
+  "C0200", # Disables consider using "enumerate" instead of "range" + "len"
+  "W0612", # Disables unused variable
+  "W0613", # Disables unused argument
+  "C0116", # Disables missing function or method docstring
+  "C0115", # Disables missing class docstring
 ]
 
 [tool.pylint.FORMAT]
-max-line-length=150
+max-line-length = 150
 
 [tool.pylint.SIMILARITIES]
 # Configures how pylint detects repetitive code
-min-similarity-lines = 4
 ignore-comments = "yes"
 ignore-docstrings = "yes"
 ignore-imports = "yes"
+min-similarity-lines = 4
 
 [tool.liccheck]
 # Authorized and unauthorized licenses in LOWER CASE
 authorized_licenses = [
-        "bsd",
-        "new bsd",
-        "bsd license",
-        "bsd 3-clause",
-        "new bsd license",
-        "simplified bsd",
-        "apache",
-        "apache 2.0",
-        "apache license 2.0",
-        "apache software license",
-        "apache software",
-        "gnu lgpl",
-        "gnu lesser general public license v2 (lgplv2)",
-        "gnu general public license v2 (gplv2)",
-        "gnu library or lesser general public license (lgpl)",
-        "lgpl with exceptions or zpl",
-        "isc license",
-        "isc license (iscl)",
-        "mit",
-        "mit license",
-        "mozilla public license 2.0 (mpl 2.0)",
-        "public domain",
-        "python software foundation license",
-        "python software foundation",
-        "zpl 2.1",
-        "gpl v3"
+  "bsd",
+  "new bsd",
+  "bsd license",
+  "bsd 3-clause",
+  "new bsd license",
+  "simplified bsd",
+  "apache",
+  "apache 2.0",
+  "apache license 2.0",
+  "apache software license",
+  "apache software",
+  "gnu lgpl",
+  "gnu lesser general public license v2 (lgplv2)",
+  "gnu general public license v2 (gplv2)",
+  "gnu library or lesser general public license (lgpl)",
+  "lgpl with exceptions or zpl",
+  "isc license",
+  "isc license (iscl)",
+  "mit",
+  "mit license",
+  "mozilla public license 2.0 (mpl 2.0)",
+  "public domain",
+  "python software foundation license",
+  "python software foundation",
+  "zpl 2.1",
+  "gpl v3",
 ]
+
+[tool.poetry.scripts]
+etl = 'data_pipeline.application:etl_run'
+score = 'data_pipeline.application:score_run'