mirror of
https://github.com/DOI-DO/j40-cejst-2.git
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6f39033dde
* Add a rough prototype allowing a developer to pre-download data sources for all ETLs * Update code to be more production-ish * Move fetch to Extract part of ETL * Create a downloader to house all downloading operations * Remove unnecessary "name" in data source * Format source files with black * Fix issues from pylint and get the tests working with the new folder structure * Clean up files with black * Fix unzip test * Add caching notes to README * Fix tests (linting and case sensitivity bug) * Address PR comments and add API keys for census where missing * Merging comparator changes from main into this branch for the sake of the PR * Add note on using cache (-u) during pipeline
60 lines
1.7 KiB
Python
60 lines
1.7 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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from data_pipeline.etl.datasource import DataSource
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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 get_data_sources(self) -> [DataSource]:
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return []
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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_sources_path())
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def transform(self):
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df: pd.DataFrame = pd.read_csv(
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self.get_sources_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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