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Run ETL processes in parallel (#1253)

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* WIP on parallelizing

* switching to get_tmp_path for nri

* switching to get_tmp_path everywhere necessary

* fixing linter errors

* moving heavy ETLs to front of line

* add hold

* moving cdc places up

* removing unnecessary print

* moving h&t up

* adding parallel to geo post

* better census labels

* switching to concurrent futures

* fixing output
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Lucas Merrill Brown 2022-02-11 14:04:53 -05:00 • committed by GitHub
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30 changed files with 286 additions and 160 deletions
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data/data-pipeline/data_pipeline/etl/sources/hud_recap/etl.py
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@ -12,7 +12,7 @@ class HudRecapETL(ExtractTransformLoad):
# pylint: disable=line-too-long
self.HUD_RECAP_CSV_URL = "https://opendata.arcgis.com/api/v3/datasets/56de4edea8264fe5a344da9811ef5d6e_0/downloads/data?format=csv&spatialRefId=4326" # noqa: E501
self.HUD_RECAP_CSV = (
self.TMP_PATH
self.get_tmp_path()
/ "Racially_or_Ethnically_Concentrated_Areas_of_Poverty__R_ECAPs_.csv"
)
self.CSV_PATH = self.DATA_PATH / "dataset" / "hud_recap"