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c1568e87c0
* Fixes #456 - Our data directory should adopt standard python package structure * a few missed references * updating readme * updating requirements * Running Black * Fixes for flake8 * updating pylint
64 lines
2.5 KiB
Python
64 lines
2.5 KiB
Python
import pandas as pd
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import requests
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from data_pipeline.etl.base import ExtractTransformLoad
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from data_pipeline.utils import get_module_logger
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logger = get_module_logger(__name__)
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class HudRecapETL(ExtractTransformLoad):
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def __init__(self):
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# pylint: disable=line-too-long
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self.HUD_RECAP_CSV_URL = "https://opendata.arcgis.com/api/v3/datasets/56de4edea8264fe5a344da9811ef5d6e_0/downloads/data?format=csv&spatialRefId=4326" # noqa: E501
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self.HUD_RECAP_CSV = (
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self.TMP_PATH
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/ "Racially_or_Ethnically_Concentrated_Areas_of_Poverty__R_ECAPs_.csv"
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)
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self.CSV_PATH = self.DATA_PATH / "dataset" / "hud_recap"
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# Definining some variable names
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self.HUD_RECAP_PRIORITY_COMMUNITY_FIELD_NAME = "hud_recap_priority_community"
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self.df: pd.DataFrame
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def extract(self) -> None:
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logger.info("Downloading HUD Recap Data")
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download = requests.get(self.HUD_RECAP_CSV_URL, verify=None)
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file_contents = download.content
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csv_file = open(self.HUD_RECAP_CSV, "wb")
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csv_file.write(file_contents)
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csv_file.close()
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def transform(self) -> None:
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logger.info("Transforming HUD Recap Data")
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# Load comparison index (CalEnviroScreen 4)
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self.df = pd.read_csv(self.HUD_RECAP_CSV, dtype={"GEOID": "string"})
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self.df.rename(
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columns={
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"GEOID": self.GEOID_TRACT_FIELD_NAME,
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# Interestingly, there's no data dictionary for the RECAP data that I could find.
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# However, this site (http://www.schousing.com/library/Tax%20Credit/2020/QAP%20Instructions%20(2).pdf)
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# suggests:
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# "If RCAP_Current for the tract in which the site is located is 1, the tract is an R/ECAP. If RCAP_Current is 0, it is not."
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"RCAP_Current": self.HUD_RECAP_PRIORITY_COMMUNITY_FIELD_NAME,
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},
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inplace=True,
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)
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# Convert to boolean
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self.df[self.HUD_RECAP_PRIORITY_COMMUNITY_FIELD_NAME] = self.df[
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self.HUD_RECAP_PRIORITY_COMMUNITY_FIELD_NAME
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].astype("bool")
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self.df[self.HUD_RECAP_PRIORITY_COMMUNITY_FIELD_NAME].value_counts()
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self.df.sort_values(by=self.GEOID_TRACT_FIELD_NAME, inplace=True)
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def load(self) -> None:
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logger.info("Saving HUD Recap CSV")
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# write nationwide csv
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self.CSV_PATH.mkdir(parents=True, exist_ok=True)
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self.df.to_csv(self.CSV_PATH / "usa.csv", index=False)
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