Data folder restructuring in preparation for 361 (#376)

* initial checkin

* gitignore and docker-compose update

* readme update and error on hud

* encoding issue

* one more small README change

* data roadmap re-strcuture

* pyproject sort

* small update to score output folders

* checkpoint

* couple of last fixes

data/data-pipeline/application.py

@@ -0,0 +1,92 @@
+import click
+
+from config import settings
+from etl.sources.census.etl_utils import reset_data_directories as census_reset
+from utils import (
+    get_module_logger,
+    data_folder_cleanup,
+    score_folder_cleanup,
+    temp_folder_cleanup,
+)
+from etl.sources.census.etl import download_census_csvs
+from etl.runner import etl_runner, score_generate
+
+logger = get_module_logger(__name__)
+
+
+@click.group()
+def cli():
+    """Defines a click group for the commands below"""
+
+    pass
+
+
+@cli.command(
+    help="Clean up all census data folders",
+)
+def census_cleanup():
+    """CLI command to clean up the census data folder"""
+
+    data_path = settings.APP_ROOT / "data"
+
+    # census directories
+    logger.info(f"Initializing all census data")
+    census_reset(data_path)
+
+    logger.info("Cleaned up all census data files")
+
+
+@cli.command(
+    help="Clean up all data folders",
+)
+def data_cleanup():
+    """CLI command to clean up the all the data folders"""
+
+    data_folder_cleanup()
+    score_folder_cleanup()
+    temp_folder_cleanup()
+
+    logger.info("Cleaned up all data folders")
+
+
+@cli.command(
+    help="Census data download",
+)
+def census_data_download():
+    """CLI command to download all census shape files from the Census FTP and extract the geojson
+    to generate national and by state Census Block Group CSVs"""
+
+    logger.info("Downloading census data")
+    data_path = settings.APP_ROOT / "data"
+    download_census_csvs(data_path)
+
+    logger.info("Completed downloading census data")
+
+
+@cli.command(
+    help="Run all ETL processes or a specific one",
+)
+@click.option("-d", "--dataset", required=False, type=str)
+def etl_run(dataset: str):
+    """Run a specific or all ETL processes
+
+    Args:
+        dataset (str): Name of the ETL module to be run (optional)
+
+    Returns:
+        None
+    """
+
+    etl_runner(dataset)
+
+
+@cli.command(
+    help="Generate Score",
+)
+def score_run():
+    """CLI command to generate the score"""
+    score_generate()
+
+
+if __name__ == "__main__":
+    cli()