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https://github.com/DOI-DO/j40-cejst-2.git
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03a6d3c660
Update logging messages and message consistency This update includes changes to the level of many log messages. Rather than everything being logged at the info level, it differentiates between debug, info, warning, and error messages. It also changes the default log level to info to avoid much of the noise previously in the logs. It also removes many extra log messages, and adds additional decorators at the beginning of each pipeline run.
72 lines
2.6 KiB
Python
72 lines
2.6 KiB
Python
import pandas as pd
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from data_pipeline.config import settings
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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 CalEnviroScreenETL(ExtractTransformLoad):
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def __init__(self):
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self.CALENVIROSCREEN_FTP_URL = (
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settings.AWS_JUSTICE40_DATASOURCES_URL
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+ "/CalEnviroScreen_4.0_2021.zip"
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)
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self.CALENVIROSCREEN_CSV = (
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self.get_tmp_path() / "CalEnviroScreen_4.0_2021.csv"
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)
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self.CSV_PATH = self.DATA_PATH / "dataset" / "calenviroscreen4"
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# Definining some variable names
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self.CALENVIROSCREEN_SCORE_FIELD_NAME = "calenviroscreen_score"
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self.CALENVIROSCREEN_PERCENTILE_FIELD_NAME = (
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"calenviroscreen_percentile"
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)
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self.CALENVIROSCREEN_PRIORITY_COMMUNITY_FIELD_NAME = (
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"calenviroscreen_priority_community"
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)
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# Choosing constants
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# None of these numbers are final, but just for the purposes of comparison.
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self.CALENVIROSCREEN_PRIORITY_COMMUNITY_THRESHOLD = 75
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self.df: pd.DataFrame
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def extract(self) -> None:
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super().extract(
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self.CALENVIROSCREEN_FTP_URL,
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self.get_tmp_path(),
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)
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def transform(self) -> None:
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# Data from https://calenviroscreen-oehha.hub.arcgis.com/#Data, specifically:
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# https://oehha.ca.gov/media/downloads/calenviroscreen/document/calenviroscreen40resultsdatadictionaryd12021.zip
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# Load comparison index (CalEnviroScreen 4)
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self.df = pd.read_csv(
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self.CALENVIROSCREEN_CSV, dtype={"Census Tract": "string"}
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)
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self.df.rename(
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columns={
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"Census Tract": self.GEOID_TRACT_FIELD_NAME,
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"DRAFT CES 4.0 Score": self.CALENVIROSCREEN_SCORE_FIELD_NAME,
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"DRAFT CES 4.0 Percentile": self.CALENVIROSCREEN_PERCENTILE_FIELD_NAME,
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},
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inplace=True,
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)
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# Add a leading "0" to the Census Tract to match our format in other data frames.
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self.df[self.GEOID_TRACT_FIELD_NAME] = (
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"0" + self.df[self.GEOID_TRACT_FIELD_NAME]
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)
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# Calculate the top K% of prioritized communities
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self.df[self.CALENVIROSCREEN_PRIORITY_COMMUNITY_FIELD_NAME] = (
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self.df[self.CALENVIROSCREEN_PERCENTILE_FIELD_NAME]
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>= self.CALENVIROSCREEN_PRIORITY_COMMUNITY_THRESHOLD
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)
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def load(self) -> None:
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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 / "data06.csv", index=False)
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