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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.
56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
import zipfile
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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.etl.base import ValidGeoLevel
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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 ExampleETL(ExtractTransformLoad):
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"""A test-only, simple implementation of the ETL base class.
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This can be used for the base tests of the `TestETL` class.
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"""
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INPUT_FIELD_NAME = "Input Field 1"
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EXAMPLE_FIELD_NAME = "Example Field 1"
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NAME = "example_dataset"
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LAST_UPDATED_YEAR = 2017
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SOURCE_URL = "https://www.example.com/example.zip"
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GEO_LEVEL = ValidGeoLevel.CENSUS_TRACT
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LOAD_YAML_CONFIG: bool = True
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def __init__(self):
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self.COLUMNS_TO_KEEP = [
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self.GEOID_TRACT_FIELD_NAME,
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self.EXAMPLE_FIELD_NAME,
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]
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def extract(self):
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# Pretend to download zip from external URL, write it to CSV.
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zip_file_path = (
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settings.APP_ROOT
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/ "tests"
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/ "sources"
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/ "example"
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/ "data"
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/ "input.zip"
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)
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with zipfile.ZipFile(zip_file_path, "r") as zip_ref:
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zip_ref.extractall(self.get_tmp_path())
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def transform(self):
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df: pd.DataFrame = pd.read_csv(
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self.get_tmp_path() / "input.csv",
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dtype={self.GEOID_TRACT_FIELD_NAME: "string"},
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low_memory=False,
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)
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df[self.EXAMPLE_FIELD_NAME] = df[self.INPUT_FIELD_NAME] * 2
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self.output_df = df
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