mirror of
https://github.com/DOI-DO/j40-cejst-2.git
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65ceb7900f
* fixing dependency issue * fixing more dependencies * including fraction of state AMI * wip * nitpick whitespace * etl working now * wip on scoring * fix rename error * reducing metrics * fixing score f * fixing readme * adding dependency * passing tests; * linting/black * removing unnecessary sample * fixing error * adding verify flag on etl/base Co-authored-by: Jorge Escobar <jorge.e.escobar@omb.eop.gov>
66 lines
2 KiB
Python
66 lines
2 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, download_file_from_url
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logger = get_module_logger(__name__)
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class CDCPlacesETL(ExtractTransformLoad):
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def __init__(self):
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self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "cdc_places"
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self.CDC_PLACES_URL = "https://chronicdata.cdc.gov/api/views/cwsq-ngmh/rows.csv?accessType=DOWNLOAD"
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self.CDC_GEOID_FIELD_NAME = "LocationID"
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self.CDC_VALUE_FIELD_NAME = "Data_Value"
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self.CDC_MEASURE_FIELD_NAME = "Measure"
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self.df: pd.DataFrame
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def extract(self) -> None:
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logger.info("Starting to download 520MB CDC Places file.")
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file_path = download_file_from_url(
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file_url=self.CDC_PLACES_URL,
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download_file_name=self.TMP_PATH
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/ "cdc_places"
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/ "census_tract.csv",
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)
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self.df = pd.read_csv(
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filepath_or_buffer=file_path,
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dtype={self.CDC_GEOID_FIELD_NAME: "string"},
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low_memory=False,
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)
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def transform(self) -> None:
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logger.info("Starting CDC Places transform")
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# Rename GEOID field
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self.df.rename(
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columns={self.CDC_GEOID_FIELD_NAME: self.GEOID_TRACT_FIELD_NAME},
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inplace=True,
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errors="raise",
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)
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# Note: Puerto Rico not included.
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self.df = self.df.pivot(
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index=self.GEOID_TRACT_FIELD_NAME,
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columns=self.CDC_MEASURE_FIELD_NAME,
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values=self.CDC_VALUE_FIELD_NAME,
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)
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# Make the index (the census tract ID) a column, not the index.
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self.df.reset_index(inplace=True)
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def load(self) -> None:
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logger.info("Saving CDC Places Data")
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# mkdir census
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self.OUTPUT_PATH.mkdir(parents=True, exist_ok=True)
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self.df.to_csv(path_or_buf=self.OUTPUT_PATH / "usa.csv", index=False)
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def validate(self) -> None:
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logger.info("Validating Census ACS Data")
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pass
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