From 1b17af84c824e1836f461788b8aa32b37e47df28 Mon Sep 17 00:00:00 2001
From: Jorge Escobar <83969469+esfoobar-usds@users.noreply.github.com>
Date: Mon, 1 Nov 2021 18:05:05 -0400
Subject: [PATCH] Combine + Tilefy (#806)

* init

* score-post

* added score csv s3 download; remore poetry cmds from readme

* working census tile fetch

* PR review

* Github Actions Work
---
 .github/workflows/combine-tilefy.yml          |  18 +-
 .github/workflows/generate-score.yml          |  10 +-
 data/data-pipeline/Dockerfile                 |   2 +-
 data/data-pipeline/README.md                  |  55 +-
 .../data_pipeline/application.py              |  69 +-
 .../data-pipeline/data_pipeline/etl/runner.py |  17 +-
 .../data_pipeline/etl/score/etl_score_geo.py  |   8 +
 .../data_pipeline/etl/score/etl_score_post.py |  13 +-
 .../data_pipeline/etl/score/etl_utils.py      |  50 ++
 .../etl/sources/census/etl_utils.py           |   4 +-
 data/data-pipeline/poetry.lock                | 674 ++++++++++--------
 data/data-pipeline/pyproject.toml             |  10 -
 data/data-pipeline/settings.toml              |   1 +
 13 files changed, 560 insertions(+), 371 deletions(-)
 create mode 100644 data/data-pipeline/data_pipeline/etl/score/etl_utils.py

diff --git a/.github/workflows/combine-tilefy.yml b/.github/workflows/combine-tilefy.yml
index cf9fa54f..9137a2ab 100644
--- a/.github/workflows/combine-tilefy.yml
+++ b/.github/workflows/combine-tilefy.yml
@@ -39,8 +39,8 @@ jobs:
           pip install GDAL==3.2.3
       - name: Run Scripts
         run: |
-          poetry run download_census
-          poetry run etl_and_score
+          poetry run python3 data_pipeline/application.py geo-score -s aws
+          poetry run python3 data_pipeline/application.py generate-map-tiles -s aws
       - name: Configure AWS Credentials
         uses: aws-actions/configure-aws-credentials@v1
         with:
@@ -49,14 +49,6 @@ jobs:
           aws-region: us-east-1
       - name: Deploy to Geoplatform AWS
         run: |
-          aws s3 sync ./data_pipeline/data/dataset/ s3://justice40-data/data-pipeline/data/dataset --acl public-read --delete
-          aws s3 sync ./data_pipeline/data/score/csv/ s3://justice40-data/data-pipeline/data/score/csv --acl public-read --delete
-          aws s3 sync ./data_pipeline/data/score/downloadable/ s3://justice40-data/data-pipeline/data/score/downloadable --acl public-read --delete
-      - name: Update PR with Comment about deployment
-        uses: mshick/add-pr-comment@v1
-        with:
-          message: |
-            Data Synced! Find it here: s3://justice40-data/data-pipeline/data/
-          repo-token: ${{ secrets.GITHUB_TOKEN }}
-          repo-token-user-login: "github-actions[bot]" # The user.login for temporary GitHub tokens
-          allow-repeats: false # This is the default
+          aws s3 rm s3://justice40-data/data-pipeline/data/score/tiles --recursive
+          aws s3 cp ./data_pipeline/data/score/tiles/ s3://justice40-data/data-pipeline/data/score/tiles --recursive --acl public-read
+          aws s3 sync ./data_pipeline/data/score/geojson/ s3://justice40-data/data-pipeline/data/score/geojson --acl public-read --delete
diff --git a/.github/workflows/generate-score.yml b/.github/workflows/generate-score.yml
index e3349681..2d361a8b 100644
--- a/.github/workflows/generate-score.yml
+++ b/.github/workflows/generate-score.yml
@@ -33,7 +33,7 @@ jobs:
         run: poetry install
       - name: Run Scripts
         run: |
-          poetry run python3 data_pipeline/application.py score-full-run
+          poetry run python3 data_pipeline/application.py score-full-run -s aws
       - name: Configure AWS Credentials
         uses: aws-actions/configure-aws-credentials@v1
         with:
@@ -44,11 +44,3 @@ jobs:
         run: |
           aws s3 sync ./data_pipeline/data/score/csv/ s3://justice40-data/data-pipeline/data/score/csv --acl public-read --delete
           aws s3 sync ./data_pipeline/data/score/downloadable/ s3://justice40-data/data-pipeline/data/score/downloadable --acl public-read --delete
-      - name: Update PR with Comment about deployment
-        uses: mshick/add-pr-comment@v1
-        with:
-          message: |
-            Data Synced! Find it here: s3://justice40-data/data-pipeline/data/score
-          repo-token: ${{ secrets.GITHUB_TOKEN }}
-          repo-token-user-login: 'github-actions[bot]' # The user.login for temporary GitHub tokens
-          allow-repeats: false # This is the default
diff --git a/data/data-pipeline/Dockerfile b/data/data-pipeline/Dockerfile
index f77cebeb..980c03b0 100644
--- a/data/data-pipeline/Dockerfile
+++ b/data/data-pipeline/Dockerfile
@@ -33,4 +33,4 @@ COPY requirements.txt .
 RUN pip3 install -r requirements.txt
 RUN pip3 install .
 
-CMD python3 -m data_pipeline.application data-full-run --check
+CMD python3 -m data_pipeline.application data-full-run --check -s aws
diff --git a/data/data-pipeline/README.md b/data/data-pipeline/README.md
index 63dba798..bc975401 100644
--- a/data/data-pipeline/README.md
+++ b/data/data-pipeline/README.md
@@ -104,18 +104,18 @@ TODO add mermaid diagram
 
 1. Call the `etl-run` command using the application manager `application.py` **NOTE:** This may take several minutes to execute.
    - With Docker: `docker run --rm -it -v ${PWD}/data/data-pipeline/data_pipeline/data:/data_pipeline/data j40_data_pipeline python3 -m data_pipeline.application etl-run`
-   - With Poetry: `poetry run etl`
+   - With Poetry: `poetry run python3 data_pipeline/application.py etl-run`
 2. This command will execute the corresponding ETL script for each data source in `data_pipeline/etl/sources/`. For example, `data_pipeline/etl/sources/ejscreen/etl.py` is the ETL script for EJSCREEN data.
 3. Each ETL script will extract the data from its original source, then format the data into `.csv` files that get stored in the relevant folder in `data_pipeline/data/dataset/`. For example, HUD Housing data is stored in `data_pipeline/data/dataset/hud_housing/usa.csv`
 
 _**NOTE:** You have the option to pass the name of a specific data source to the `etl-run` command using the `-d` flag, which will limit the execution of the ETL process to that specific data source._
-_For example: `poetry run etl -d ejscreen` would only run the ETL process for EJSCREEN data._
+_For example: `poetry run python3 data_pipeline/application.py etl-run -d ejscreen` would only run the ETL process for EJSCREEN data._
 
 #### Step 3: Calculate the Justice40 score experiments
 
 1. Call the `score-run` command using the application manager `application.py` **NOTE:** This may take several minutes to execute.
    - With Docker: `docker run --rm -it -v ${PWD}/data/data-pipeline/data_pipeline/data:/data_pipeline/data j40_data_pipeline python3 -m data_pipeline.application score-run`
-   - With Poetry: `poetry run score`
+   - With Poetry: `poetry run python3 data_pipeline/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.
@@ -203,32 +203,58 @@ To install the above-named executables:
 
 ### Windows Users
 
-If you want to run tile generation, please install TippeCanoe [following these instrcutions](https://github.com/GISupportICRC/ArcGIS2Mapbox#installing-tippecanoe-on-windows). You also 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.
+If you want to run tile generation, please install TippeCanoe [following these instructions](https://github.com/GISupportICRC/ArcGIS2Mapbox#installing-tippecanoe-on-windows). You also 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. It's definitely easier if you have access to WSL (Windows Subsystem Linux), and install these packages using commands similar to our [Dockerfile](https://github.com/usds/justice40-tool/blob/main/data/data-pipeline/Dockerfile).
 
 ### Setting up Poetry
 
 - Start a terminal
 - Change to this directory (`/data/data-pipeline/`)
-- Make sure you have Python 3.9 installed: `python -V` or `python3 -V`
+- Make sure you have at least Python 3.7 installed: `python -V` or `python3 -V`
 - We use [Poetry](https://python-poetry.org/) for managing dependencies and building the application. Please follow the instructions on their site to download.
 - Install Poetry requirements with `poetry install`
 
-### Downloading Census Block Groups GeoJSON and Generating CBG CSVs
+### The Application entrypoint
 
-- Make sure you have Docker running in your machine
+After installing the poetry dependencies, you can see a list of commands with the following steps: 
 - Start a terminal
-- Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline/`)
-- If you want to clear out all data and tiles from all directories, you can run: `poetry run cleanup_data`.
-- Then run `poetry run download_census`
-  Note: Census files are not kept in the repository and the download directories are ignored by Git
+- Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline`)
+- Then run `poetry run python3 data_pipeline/application.py --help`
+
+### Downloading Census Block Groups GeoJSON and Generating CBG CSVs (not normally required)
+
+- Start a terminal
+- Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline`)
+- If you want to clear out all data and tiles from all directories, you can run: `poetry run python3 data_pipeline/application.py data-cleanup`.
+- Then run `poetry run python3 data_pipeline/application.py census-data-download`
+  Note: Census files are hosted in the Justice40 S3 and you can skip this step by passing the `-s aws` or `--data-source aws` flag in the scripts below
+
+
+### Run all ETL, score and map generation processes
+- Start a terminal
+- Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline`)
+- Then run `poetry run python3 data_pipeline/application.py data-full-run -s aws`
+- Note: The `-s` flag is optional if you have generated/downloaded the census data
+
+
+### Run both ETL and score generation processes
+- Start a terminal
+- Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline`)
+- Then run `poetry run python3 data_pipeline/application.py score-full-run`
+
+
+### Run all ETL processes
+- Start a terminal
+- Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline`)
+- Then run `poetry run python3 data_pipeline/application.py etl-run`
+
 
 ### Generating Map Tiles
 
-- Make sure you have Docker running in your machine
 - Start a terminal
 - Change to the package directory (i.e. `cd data/data-pipeline/data_pipeline`)
-- Then run `poetry run generate_tiles`
+- Then run `poetry run python3 data_pipeline/application.py generate-map-tiles -s aws`
 - If you have S3 keys, you can sync to the dev repo by doing `aws s3 sync ./data_pipeline/data/score/tiles/ s3://justice40-data/data-pipeline/data/score/tiles --acl public-read --delete`
+- Note: The `-s` flag is optional if you have generated/downloaded the score data
 
 ### Serve the map locally
 
@@ -248,8 +274,7 @@ If you want to run tile generation, please install TippeCanoe [following these i
 - Activate a Poetry Shell (see above)
 - Run `jupyter contrib nbextension install --user`
 - Run `jupyter nbextension enable python-markdown/main`
-- Make sure you've loaded the Jupyter notebook in a "Trusted" state. (See button near
-  top right of Notebook screen.)
+- Make sure you've loaded the Jupyter notebook in a "Trusted" state. (See button near top right of Notebook screen.)
 
 For more information, see [nbextensions docs](https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html) and
 see [python-markdown docs](https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tree/master/src/jupyter_contrib_nbextensions/nbextensions/python-markdown).
diff --git a/data/data-pipeline/data_pipeline/application.py b/data/data-pipeline/data_pipeline/application.py
index 7e02b2e2..3ec6629d 100644
--- a/data/data-pipeline/data_pipeline/application.py
+++ b/data/data-pipeline/data_pipeline/application.py
@@ -25,6 +25,8 @@ from data_pipeline.utils import (
 
 logger = get_module_logger(__name__)
 
+dataset_cli_help = "Grab the data from either 'local' for local access or 'aws' to retrieve from Justice40 S3 repository"
+
 
 @click.group()
 def cli():
@@ -93,7 +95,13 @@ def census_data_download(zip_compress):
 @cli.command(
     help="Run all ETL processes or a specific one",
 )
-@click.option("-d", "--dataset", required=False, type=str)
+@click.option(
+    "-d",
+    "--dataset",
+    required=False,
+    type=str,
+    help=dataset_cli_help,
+)
 def etl_run(dataset: str):
     """Run a specific or all ETL processes
 
@@ -134,9 +142,16 @@ def score_full_run():
 
 
 @cli.command(help="Generate Geojson files with scores baked in")
-@click.option("-d", "--data-source", default="local", required=False, type=str)
+@click.option(
+    "-s",
+    "--data-source",
+    default="local",
+    required=False,
+    type=str,
+    help=dataset_cli_help,
+)
 def geo_score(data_source: str):
-    """CLI command to generate the score
+    """CLI command to combine score with GeoJSON data and generate low and high files
 
     Args:
         data_source (str): Source for the census data (optional)
@@ -166,11 +181,29 @@ def generate_map_tiles():
 @cli.command(
     help="Run etl_score_post to create score csv, tile csv, and downloadable zip",
 )
-def generate_score_post():
-    """CLI command to generate score, tile, and downloadable files"""
+@click.option(
+    "-s",
+    "--data-source",
+    default="local",
+    required=False,
+    type=str,
+    help=dataset_cli_help,
+)
+def generate_score_post(data_source: str):
+    """CLI command to generate score, tile, and downloadable files
+
+    Args:
+        data_source (str): Source for the census data (optional)
+                           Options:
+                           - local: fetch census and score data from the local data directory
+                           - aws: fetch census and score from AWS S3 J40 data repository
+
+    Returns:
+        None
+    """
 
     downloadable_cleanup()
-    score_post()
+    score_post(data_source)
     sys.exit()
 
 
@@ -183,11 +216,23 @@ def generate_score_post():
     is_flag=True,
     help="Check if data run has been run before, and don't run it if so.",
 )
-def data_full_run(check):
+@click.option(
+    "-s",
+    "--data-source",
+    default="local",
+    required=False,
+    type=str,
+    help=dataset_cli_help,
+)
+def data_full_run(check: bool, data_source: str):
     """CLI command to run ETL, score, JSON combine and generate tiles in one command
 
     Args:
         check (bool): Run the full data run only if the first run sempahore file is not set (optional)
+        data_source (str): Source for the census data (optional)
+                           Options:
+                           - local: fetch census and score data from the local data directory
+                           - aws: fetch census and score from AWS S3 J40 data repository
 
      Returns:
         None
@@ -206,8 +251,9 @@ def data_full_run(check):
     score_folder_cleanup()
     temp_folder_cleanup()
 
-    logger.info("*** Downloading census data")
-    etl_runner("census")
+    if data_source == "local":
+        logger.info("*** Downloading census data")
+        etl_runner("census")
 
     logger.info("*** Running all ETLs")
     etl_runner()
@@ -215,8 +261,11 @@ def data_full_run(check):
     logger.info("*** Generating Score")
     score_generate()
 
+    logger.info("*** Running Post Score scripts")
+    score_post(data_source)
+
     logger.info("*** Combining Score with Census Geojson")
-    score_geo()
+    score_geo(data_source)
 
     logger.info("*** Generating Map Tiles")
     generate_tiles(data_path)
diff --git a/data/data-pipeline/data_pipeline/etl/runner.py b/data/data-pipeline/data_pipeline/etl/runner.py
index f23362b6..3e9fb7f0 100644
--- a/data/data-pipeline/data_pipeline/etl/runner.py
+++ b/data/data-pipeline/data_pipeline/etl/runner.py
@@ -87,17 +87,20 @@ def score_generate() -> None:
     score_post()
 
 
-def score_post() -> None:
+def score_post(data_source: str = "local") -> None:
     """Posts the score files to the local directory
 
     Args:
-        None
+        data_source (str): Source for the census data (optional)
+                           Options:
+                           - local (default): fetch census data from the local data directory
+                           - aws: fetch census from AWS S3 J40 data repository
 
     Returns:
         None
     """
     # Post Score Processing
-    score_post = PostScoreETL()
+    score_post = PostScoreETL(data_source=data_source)
     score_post.extract()
     score_post.transform()
     score_post.load()
@@ -108,10 +111,10 @@ def score_geo(data_source: str = "local") -> None:
     """Generates the geojson files with score data baked in
 
     Args:
-        census_data_source (str): Source for the census data (optional)
-                                  Options:
-                                  - local (default): fetch census data from the local data directory
-                                  - aws: fetch census from AWS S3 J40 data repository
+        data_source (str): Source for the census data (optional)
+                           Options:
+                           - local (default): fetch census data from the local data directory
+                           - aws: fetch census from AWS S3 J40 data repository
 
     Returns:
         None
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py b/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
index 6a52ed5e..1711fa1a 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
@@ -6,6 +6,7 @@ from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.etl.sources.census.etl_utils import (
     check_census_data_source,
 )
+from data_pipeline.etl.score.etl_utils import check_score_data_source
 from data_pipeline.utils import get_module_logger
 
 logger = get_module_logger(__name__)
@@ -17,6 +18,7 @@ class GeoScoreETL(ExtractTransformLoad):
     """
 
     def __init__(self, data_source: str = None):
+        self.DATA_SOURCE = data_source
         self.SCORE_GEOJSON_PATH = self.DATA_PATH / "score" / "geojson"
         self.SCORE_LOW_GEOJSON = self.SCORE_GEOJSON_PATH / "usa-low.json"
         self.SCORE_HIGH_GEOJSON = self.SCORE_GEOJSON_PATH / "usa-high.json"
@@ -46,6 +48,12 @@ class GeoScoreETL(ExtractTransformLoad):
             census_data_source=self.DATA_SOURCE,
         )
 
+        # check score data
+        check_score_data_source(
+            score_csv_data_path=self.SCORE_CSV_PATH,
+            score_data_source=self.DATA_SOURCE,
+        )
+
         logger.info("Reading US GeoJSON (~6 minutes)")
         self.geojson_usa_df = gpd.read_file(
             self.CENSUS_USA_GEOJSON,
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py b/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
index fe13c0e9..19bdc788 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
@@ -3,6 +3,9 @@ import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.utils import get_module_logger, zip_files
 
+from data_pipeline.etl.sources.census.etl_utils import (
+    check_census_data_source,
+)
 from . import constants
 
 logger = get_module_logger(__name__)
@@ -14,7 +17,8 @@ class PostScoreETL(ExtractTransformLoad):
     datasets.
     """
 
-    def __init__(self):
+    def __init__(self, data_source: str = None):
+        self.DATA_SOURCE = data_source
         self.input_counties_df: pd.DataFrame
         self.input_states_df: pd.DataFrame
         self.input_score_df: pd.DataFrame
@@ -66,6 +70,13 @@ class PostScoreETL(ExtractTransformLoad):
 
     def extract(self) -> None:
         logger.info("Starting Extraction")
+
+        # check census data
+        check_census_data_source(
+            census_data_path=self.DATA_PATH / "census",
+            census_data_source=self.DATA_SOURCE,
+        )
+
         super().extract(
             constants.CENSUS_COUNTIES_ZIP_URL,
             constants.TMP_PATH,
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_utils.py b/data/data-pipeline/data_pipeline/etl/score/etl_utils.py
new file mode 100644
index 00000000..c3fec035
--- /dev/null
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_utils.py
@@ -0,0 +1,50 @@
+import os
+import sys
+from pathlib import Path
+
+from data_pipeline.config import settings
+from data_pipeline.utils import (
+    download_file_from_url,
+    get_module_logger,
+)
+
+logger = get_module_logger(__name__)
+
+
+def check_score_data_source(
+    score_csv_data_path: Path,
+    score_data_source: str,
+) -> None:
+    """Checks if census data is present, and exits gracefully if it doesn't exist. It will download it from S3
+       if census_data_source is set to "aws"
+
+    Args:
+        score_csv_data_path (str): Path for local Score CSV data
+        score_data_source (str): Source for the score data
+                                  Options:
+                                  - local: fetch census data from the local data directory
+                                  - aws: fetch census from AWS S3 J40 data repository
+
+    Returns:
+        None
+
+    """
+    TILE_SCORE_CSV_S3_URL = (
+        settings.AWS_JUSTICE40_DATAPIPELINE_URL
+        + "/data/score/csv/tiles/usa.csv"
+    )
+    TILE_SCORE_CSV = score_csv_data_path / "tiles" / "usa.csv"
+
+    # download from s3 if census_data_source is aws
+    if score_data_source == "aws":
+        logger.info("Fetching Score Tile data from AWS S3")
+        download_file_from_url(
+            file_url=TILE_SCORE_CSV_S3_URL, download_file_name=TILE_SCORE_CSV
+        )
+    else:
+        # check if score data is found locally
+        if not os.path.isfile(TILE_SCORE_CSV):
+            logger.info(
+                "No local score tiles data found. Please use '-d aws` to fetch from AWS"
+            )
+            sys.exit()
diff --git a/data/data-pipeline/data_pipeline/etl/sources/census/etl_utils.py b/data/data-pipeline/data_pipeline/etl/sources/census/etl_utils.py
index 259fffbb..3bc33b37 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/census/etl_utils.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/census/etl_utils.py
@@ -107,13 +107,13 @@ def check_census_data_source(
         # check if census data is found locally
         if not os.path.isfile(census_data_path / "geojson" / "us.json"):
             logger.info(
-                "No local census data found. Please use '-cds aws` to fetch from AWS"
+                "No local census data found. Please use '-d aws` to fetch from AWS"
             )
             sys.exit()
 
 
 def zip_census_data():
-    logger.info("Compressing and uploading census files to AWS S3")
+    logger.info("Compressing census files to data/tmp folder")
 
     CENSUS_DATA_PATH = settings.APP_ROOT / "data" / "census"
     TMP_PATH = settings.APP_ROOT / "data" / "tmp"
diff --git a/data/data-pipeline/poetry.lock b/data/data-pipeline/poetry.lock
index 77cc834e..770af99e 100644
--- a/data/data-pipeline/poetry.lock
+++ b/data/data-pipeline/poetry.lock
@@ -38,7 +38,7 @@ tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
 [[package]]
 name = "astroid"
-version = "2.8.0"
+version = "2.8.3"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -48,7 +48,7 @@ python-versions = "~=3.6"
 lazy-object-proxy = ">=1.4.0"
 typed-ast = {version = ">=1.4.0,<1.5", markers = "implementation_name == \"cpython\" and python_version < \"3.8\""}
 typing-extensions = {version = ">=3.10", markers = "python_version < \"3.10\""}
-wrapt = ">=1.11,<1.13"
+wrapt = ">=1.11,<1.14"
 
 [[package]]
 name = "atomicwrites"
@@ -150,7 +150,7 @@ requests = "*"
 
 [[package]]
 name = "certifi"
-version = "2021.5.30"
+version = "2021.10.8"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
@@ -158,7 +158,7 @@ python-versions = "*"
 
 [[package]]
 name = "cffi"
-version = "1.14.6"
+version = "1.15.0"
 description = "Foreign Function Interface for Python calling C code."
 category = "main"
 optional = false
@@ -169,7 +169,7 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.0.6"
+version = "2.0.7"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
@@ -180,7 +180,7 @@ unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
-version = "8.0.1"
+version = "8.0.3"
 description = "Composable command line interface toolkit"
 category = "main"
 optional = false
@@ -251,7 +251,7 @@ six = "*"
 
 [[package]]
 name = "debugpy"
-version = "1.4.3"
+version = "1.5.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "main"
 optional = false
@@ -332,11 +332,15 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "filelock"
-version = "3.0.12"
+version = "3.3.1"
 description = "A platform independent file lock."
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
+
+[package.extras]
+docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
+testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
 
 [[package]]
 name = "fiona"
@@ -391,7 +395,7 @@ shapely = ">=1.6"
 
 [[package]]
 name = "idna"
-version = "3.2"
+version = "3.3"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
@@ -424,7 +428,7 @@ python-versions = "*"
 
 [[package]]
 name = "ipykernel"
-version = "6.4.1"
+version = "6.4.2"
 description = "IPython Kernel for Jupyter"
 category = "main"
 optional = false
@@ -447,7 +451,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "ipyparallel"]
 
 [[package]]
 name = "ipython"
-version = "7.27.0"
+version = "7.28.0"
 description = "IPython: Productive Interactive Computing"
 category = "main"
 optional = false
@@ -544,7 +548,7 @@ python-versions = "*"
 
 [[package]]
 name = "jinja2"
-version = "3.0.1"
+version = "3.0.2"
 description = "A very fast and expressive template engine."
 category = "main"
 optional = false
@@ -558,21 +562,20 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jsonschema"
-version = "3.2.0"
+version = "4.1.2"
 description = "An implementation of JSON Schema validation for Python"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [package.dependencies]
 attrs = ">=17.4.0"
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-pyrsistent = ">=0.14.0"
-six = ">=1.11.0"
+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
 
 [package.extras]
-format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
-format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
 
 [[package]]
 name = "jupyter"
@@ -592,7 +595,7 @@ qtconsole = "*"
 
 [[package]]
 name = "jupyter-client"
-version = "7.0.3"
+version = "7.0.6"
 description = "Jupyter protocol implementation and client libraries"
 category = "main"
 optional = false
@@ -900,7 +903,7 @@ test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=
 
 [[package]]
 name = "nbconvert"
-version = "6.1.0"
+version = "6.2.0"
 description = "Converting Jupyter Notebooks"
 category = "main"
 optional = false
@@ -922,11 +925,11 @@ testpath = "*"
 traitlets = ">=5.0"
 
 [package.extras]
-all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
+all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
 docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
 serve = ["tornado (>=4.0)"]
-test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)"]
-webpdf = ["pyppeteer (==0.2.2)"]
+test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)"]
+webpdf = ["pyppeteer (==0.2.6)"]
 
 [[package]]
 name = "nbformat"
@@ -956,7 +959,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "notebook"
-version = "6.4.4"
+version = "6.4.5"
 description = "A web-based notebook environment for interactive computing"
 category = "main"
 optional = false
@@ -997,7 +1000,7 @@ version = "3.0.9"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 category = "dev"
 optional = false
-python-versions = ">=3.6,"
+python-versions = ">=3.6"
 
 [package.dependencies]
 et-xmlfile = "*"
@@ -1015,14 +1018,19 @@ pyparsing = ">=2.0.2"
 
 [[package]]
 name = "pandas"
-version = "1.3.3"
+version = "1.3.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
 python-versions = ">=3.7.1"
 
 [package.dependencies]
-numpy = ">=1.17.3"
+numpy = [
+    {version = ">=1.17.3", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
+    {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
+]
 python-dateutil = ">=2.7.3"
 pytz = ">=2017.3"
 
@@ -1078,7 +1086,7 @@ python-versions = "*"
 
 [[package]]
 name = "pillow"
-version = "8.3.2"
+version = "8.4.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
 optional = false
@@ -1086,7 +1094,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "platformdirs"
-version = "2.3.0"
+version = "2.4.0"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
@@ -1124,7 +1132,7 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.20"
+version = "3.0.21"
 description = "Library for building powerful interactive command lines in Python"
 category = "main"
 optional = false
@@ -1282,7 +1290,7 @@ six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2021.1"
+version = "2021.3"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
@@ -1290,7 +1298,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "301"
+version = "302"
 description = "Python for Window Extensions"
 category = "main"
 optional = false
@@ -1306,11 +1314,11 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "pyyaml"
-version = "5.4.1"
+version = "6.0"
 description = "YAML parser and emitter for Python"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "pyzmq"
@@ -1348,7 +1356,7 @@ test = ["flaky", "pytest", "pytest-qt"]
 
 [[package]]
 name = "qtpy"
-version = "1.11.1"
+version = "1.11.2"
 description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5, PyQt4 and PySide) and additional custom QWidgets."
 category = "main"
 optional = false
@@ -1356,7 +1364,7 @@ python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
 
 [[package]]
 name = "regex"
-version = "2021.8.28"
+version = "2021.10.21"
 description = "Alternative regular expression module, to replace re."
 category = "dev"
 optional = false
@@ -1547,7 +1555,7 @@ python-versions = "*"
 
 [[package]]
 name = "types-requests"
-version = "2.25.8"
+version = "2.25.11"
 description = "Typing stubs for requests"
 category = "main"
 optional = false
@@ -1563,7 +1571,7 @@ python-versions = "*"
 
 [[package]]
 name = "urllib3"
-version = "1.26.6"
+version = "1.26.7"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
@@ -1587,7 +1595,7 @@ jellyfish = "0.6.1"
 
 [[package]]
 name = "virtualenv"
-version = "20.8.0"
+version = "20.8.1"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@@ -1634,11 +1642,11 @@ notebook = ">=4.4.1"
 
 [[package]]
 name = "wrapt"
-version = "1.12.1"
+version = "1.13.2"
 description = "Module for decorators, wrappers and monkey patching."
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "xlsxwriter"
@@ -1650,7 +1658,7 @@ python-versions = "*"
 
 [[package]]
 name = "zipp"
-version = "3.5.0"
+version = "3.6.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
@@ -1688,8 +1696,8 @@ argon2-cffi = [
     {file = "argon2_cffi-21.1.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:566ffb581bbd9db5562327aee71b2eda24a1c15b23a356740abe3c011bbe0dcb"},
 ]
 astroid = [
-    {file = "astroid-2.8.0-py3-none-any.whl", hash = "sha256:dcc06f6165f415220013801642bd6c9808a02967070919c4b746c6864c205471"},
-    {file = "astroid-2.8.0.tar.gz", hash = "sha256:fe81f80c0b35264acb5653302ffbd935d394f1775c5e4487df745bf9c2442708"},
+    {file = "astroid-2.8.3-py3-none-any.whl", hash = "sha256:f9d66e3a4a0e5b52819b2ff41ac2b179df9d180697db71c92beb33a60c661794"},
+    {file = "astroid-2.8.3.tar.gz", hash = "sha256:0e361da0744d5011d4f5d57e64473ba9b7ab4da1e2d45d6631ebd67dd28c3cce"},
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 atomicwrites = [
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@@ -1719,63 +1727,68 @@ censusdata = [
     {file = "CensusData-1.15.tar.gz", hash = "sha256:0ccbdeede9d5475530ae04f13a9893809617ed83d1577d8207b72fdb782c8b39"},
 ]
 certifi = [
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-    {file = "certifi-2021.5.30.tar.gz", hash = "sha256:2bbf76fd432960138b3ef6dda3dde0544f27cbf8546c458e60baf371917ba9ee"},
+    {file = "certifi-2021.10.8-py2.py3-none-any.whl", hash = "sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"},
+    {file = "certifi-2021.10.8.tar.gz", hash = "sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872"},
 ]
 cffi = [
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 xlsxwriter = [
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 ]
 zipp = [
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-    {file = "zipp-3.5.0.tar.gz", hash = "sha256:f5812b1e007e48cff63449a5e9f4e7ebea716b4111f9c4f9a645f91d579bf0c4"},
+    {file = "zipp-3.6.0-py3-none-any.whl", hash = "sha256:9fe5ea21568a0a70e50f273397638d39b03353731e6cbbb3fd8502a33fec40bc"},
+    {file = "zipp-3.6.0.tar.gz", hash = "sha256:71c644c5369f4a6e07636f0aa966270449561fcea2e3d6747b8d23efaa9d7832"},
 ]
diff --git a/data/data-pipeline/pyproject.toml b/data/data-pipeline/pyproject.toml
index ba268a85..19afe64e 100644
--- a/data/data-pipeline/pyproject.toml
+++ b/data/data-pipeline/pyproject.toml
@@ -114,13 +114,3 @@ authorized_licenses = [
   "gpl v3",
   "historical permission notice and disclaimer (hpnd)",
 ]
-
-[tool.poetry.scripts]
-cleanup_census = 'data_pipeline.application:census_cleanup'
-cleanup_data = 'data_pipeline.application:data_cleanup'
-download_census = 'data_pipeline.application:census_data_download'
-etl = 'data_pipeline.application:etl_run'
-generate_tiles = 'data_pipeline.application:generate_map_tiles'
-score = 'data_pipeline.application:score_run'
-score_geo = 'data_pipeline.application:geo_score'
-etl_and_score = 'data_pipeline.application:score_full_run'
diff --git a/data/data-pipeline/settings.toml b/data/data-pipeline/settings.toml
index 26d7746b..ce67e23e 100644
--- a/data/data-pipeline/settings.toml
+++ b/data/data-pipeline/settings.toml
@@ -1,5 +1,6 @@
 [default]
 AWS_JUSTICE40_DATASOURCES_URL = "https://justice40-data.s3.amazonaws.com/data-sources"
+AWS_JUSTICE40_DATAPIPELINE_URL = "https://justice40-data.s3.amazonaws.com/data-pipeline"
 
 [development]