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d1273b63c5
* Adds dev dependencies to requirements.txt and re-runs black on codebase * Adds test and code for national risk index etl, still in progress * Removes test_data from .gitignore * Adds test data to nation_risk_index tests * Creates tests and ETL class for NRI data * Adds tests for load() and transform() methods of NationalRiskIndexETL * Updates README.md with info about the NRI dataset * Adds to dos * Moves tests and test data into a tests/ dir in national_risk_index * Moves tmp_dir for tests into data/tmp/tests/ * Promotes fixtures to conftest and relocates national_risk_index tests: The relocation of national_risk_index tests is necessary because tests can only use fixtures specified in conftests within the same package * Fixes issue with df.equals() in test_transform() * Files reformatted by black * Commit changes to other files after re-running black * Fixes unused import that caused lint checks to fail * Moves tests/ directory to app root for data_pipeline * Adds new methods to ExtractTransformLoad base class: - __init__() Initializes class attributes - _get_census_fips_codes() Loads a dataframe with the fips codes for census block group and tract - validate_init() Checks that the class was initialized correctly - validate_output() Checks that the output was loaded correctly * Adds test for ExtractTransformLoad.__init__() and base.py * Fixes failing flake8 test * Changes geo_col to geoid_col and changes is_dataset to is_census in yaml * Adds test for validate_output() * Adds remaining tests * Removes is_dataset from init method * Makes CENSUS_CSV a class attribute instead of a class global: This ensures that CENSUS_CSV is only set when the ETL class is for a non-census dataset and removes the need to overwrite the value in mock_etl fixture * Re-formats files with black and fixes broken tox tests
10 lines
222 B
YAML
10 lines
222 B
YAML
name = Template # uses equal sign instead of colon
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year: null
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is_dataset: true
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source_url: https://github.com/usds/justice40-tool/
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geo_level: Census Block Group
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geoid_col: GEO COL
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score_cols:
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- COL 1
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- COL 2
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- COL 3
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