mirror of
https://github.com/DOI-DO/j40-cejst-2.git
synced 2025-02-24 10:34:18 -08:00
67 lines
2 KiB
Python
67 lines
2 KiB
Python
|
import pandas as pd
|
||
|
|
|
||
|
|
from data_pipeline.etl.base import ExtractTransformLoad
|
||
|
|
from data_pipeline.utils import get_module_logger, download_file_from_url
|
||
|
|
|
||
|
|
logger = get_module_logger(__name__)
|
||
|
|
|
||
|
|
|
||
|
|
class CDCPlacesETL(ExtractTransformLoad):
|
||
|
|
def __init__(self):
|
||
|
|
self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "cdc_places"
|
||
|
|
|
||
|
|
self.CDC_PLACES_URL = "https://chronicdata.cdc.gov/api/views/cwsq-ngmh/rows.csv?accessType=DOWNLOAD"
|
||
|
|
self.CDC_GEOID_FIELD_NAME = "LocationID"
|
||
|
|
self.CDC_VALUE_FIELD_NAME = "Data_Value"
|
||
|
|
self.CDC_MEASURE_FIELD_NAME = "Measure"
|
||
|
|
|
||
|
|
self.df: pd.DataFrame
|
||
|
|
|
||
|
|
def extract(self) -> None:
|
||
|
|
logger.info("Starting to download 520MB CDC Places file.")
|
||
|
|
file_path = download_file_from_url(
|
||
|
|
file_url=self.CDC_PLACES_URL,
|
||
|
|
download_file_name=self.TMP_PATH
|
||
|
|
/ "cdc_places"
|
||
|
|
/ "census_tract.csv",
|
||
|
|
)
|
||
|
|
|
||
|
|
self.df = pd.read_csv(
|
||
|
|
filepath_or_buffer=file_path,
|
||
|
|
dtype={self.CDC_GEOID_FIELD_NAME: "string"},
|
||
|
|
low_memory=False,
|
||
|
|
)
|
||
|
|
|
||
|
|
def transform(self) -> None:
|
||
|
|
logger.info("Starting CDC Places transform")
|
||
|
|
|
||
|
|
# Rename GEOID field
|
||
|
|
self.df.rename(
|
||
|
|
columns={self.CDC_GEOID_FIELD_NAME: self.GEOID_TRACT_FIELD_NAME},
|
||
|
|
inplace=True,
|
||
|
|
errors="raise",
|
||
|
|
)
|
||
|
|
|
||
|
|
# Note: Puerto Rico not included.
|
||
|
|
self.df = self.df.pivot(
|
||
|
|
index=self.GEOID_TRACT_FIELD_NAME,
|
||
|
|
columns=self.CDC_MEASURE_FIELD_NAME,
|
||
|
|
values=self.CDC_VALUE_FIELD_NAME,
|
||
|
|
)
|
||
|
|
|
||
|
|
# Make the index (the census tract ID) a column, not the index.
|
||
|
|
self.df.reset_index(inplace=True)
|
||
|
|
|
||
|
|
def load(self) -> None:
|
||
|
|
logger.info("Saving CDC Places Data")
|
||
|
|
|
||
|
|
# mkdir census
|
||
|
|
self.OUTPUT_PATH.mkdir(parents=True, exist_ok=True)
|
||
|
|
|
||
|
|
self.df.to_csv(path_or_buf=self.OUTPUT_PATH / "usa.csv", index=False)
|
||
|
|
|
||
|
|
def validate(self) -> None:
|
||
|
|
logger.info("Validating Census ACS Data")
|
||
|
|
|
||
|
|
pass
|