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1d541be447
* Adding ej screen areas of concern * Uses it where user has local files, but not otherwise Co-authored-by: VincentLaUSDS <vincent.la@omb.eop.gov>
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
import pandas as pd
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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 EJSCREENETL(ExtractTransformLoad):
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def __init__(self):
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self.EJSCREEN_FTP_URL = "https://gaftp.epa.gov/EJSCREEN/2019/EJSCREEN_2019_StatePctile.csv.zip"
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self.EJSCREEN_CSV = self.TMP_PATH / "EJSCREEN_2019_StatePctiles.csv"
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self.CSV_PATH = self.DATA_PATH / "dataset" / "ejscreen_2019"
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self.df: pd.DataFrame
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def extract(self) -> None:
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logger.info("Downloading EJScreen Data")
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super().extract(
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self.EJSCREEN_FTP_URL,
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self.TMP_PATH,
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verify=False, # EPA EJScreen end point has certificate issues often
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)
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def transform(self) -> None:
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logger.info("Transforming EJScreen Data")
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self.df = pd.read_csv(
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self.EJSCREEN_CSV,
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dtype={"ID": "string"},
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# EJSCREEN writes the word "None" for NA data.
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na_values=["None"],
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low_memory=False,
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)
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def load(self) -> None:
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logger.info("Saving EJScreen 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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