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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.
64 lines
2.5 KiB
Python
64 lines
2.5 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.score import field_names
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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 MichiganEnviroScreenETL(ExtractTransformLoad):
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"""Michigan EJ Screen class that ingests dataset represented
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here: https://www.arcgis.com/apps/webappviewer/index.html?id=dc4f0647dda34959963488d3f519fd24
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This class ingests the data presented in "Assessing the State of Environmental
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Justice in Michigan." Please see the README in this module for further details.
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"""
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def __init__(self):
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self.MICHIGAN_EJSCREEN_S3_URL = (
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settings.AWS_JUSTICE40_DATASOURCES_URL
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+ "/michigan_ejscore_12212021.csv"
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)
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self.CSV_PATH = self.DATA_PATH / "dataset" / "michigan_ejscreen"
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self.MICHIGAN_EJSCREEN_PRIORITY_COMMUNITY_THRESHOLD: float = 0.75
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self.COLUMNS_TO_KEEP = [
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self.GEOID_TRACT_FIELD_NAME,
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field_names.MICHIGAN_EJSCREEN_SCORE_FIELD,
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field_names.MICHIGAN_EJSCREEN_PERCENTILE_FIELD,
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field_names.MICHIGAN_EJSCREEN_PRIORITY_COMMUNITY_FIELD,
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]
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self.df: pd.DataFrame
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def extract(self) -> None:
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self.df = pd.read_csv(
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filepath_or_buffer=self.MICHIGAN_EJSCREEN_S3_URL,
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dtype={"GEO_ID": "string"},
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low_memory=False,
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)
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def transform(self) -> None:
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self.df.rename(
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columns={
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"GEO_ID": self.GEOID_TRACT_FIELD_NAME,
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"EJ_Score_Cal_Min": field_names.MICHIGAN_EJSCREEN_SCORE_FIELD,
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"Pct_CalMin": field_names.MICHIGAN_EJSCREEN_PERCENTILE_FIELD,
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},
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inplace=True,
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)
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# Calculate the top quartile of prioritized communities
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# Please see pg. 104 - 109 from source:
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# pg. https://deepblue.lib.umich.edu/bitstream/handle/2027.42/149105/AssessingtheStateofEnvironmentalJusticeinMichigan_344.pdf
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self.df[field_names.MICHIGAN_EJSCREEN_PRIORITY_COMMUNITY_FIELD] = (
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self.df[field_names.MICHIGAN_EJSCREEN_PERCENTILE_FIELD]
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>= self.MICHIGAN_EJSCREEN_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[self.COLUMNS_TO_KEEP].to_csv(
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self.CSV_PATH / "michigan_ejscreen.csv", index=False
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)
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