diff --git a/data/data-pipeline/data_pipeline/application.py b/data/data-pipeline/data_pipeline/application.py index 88c2505b..66323542 100644 --- a/data/data-pipeline/data_pipeline/application.py +++ b/data/data-pipeline/data_pipeline/application.py @@ -58,6 +58,7 @@ data_source_option = click.option( help=dataset_cli_help, ) + @click.group() def cli(): """Defines a click group for the commands below""" @@ -415,6 +416,7 @@ def clear_data_source_cache(dataset: str): log_goodbye() + @cli.command( help="Generate scoring and tiles", ) @@ -441,6 +443,7 @@ def full_run(ctx, use_cache): ctx.invoke(etl_run, dataset=None, use_cache=use_cache) ctx.invoke(full_post_etl) + def log_title(title: str, subtitle: str = None): """Logs a title in our fancy title format""" logger.info("-" * LOG_LINE_WIDTH) diff --git a/data/data-pipeline/data_pipeline/etl/downloader.py b/data/data-pipeline/data_pipeline/etl/downloader.py index 55a97f1b..fd0fec50 100644 --- a/data/data-pipeline/data_pipeline/etl/downloader.py +++ b/data/data-pipeline/data_pipeline/etl/downloader.py @@ -10,6 +10,7 @@ from data_pipeline.utils import get_module_logger logger = get_module_logger(__name__) + class Downloader: """A simple class to encapsulate the download capabilities of the application""" @@ -44,6 +45,7 @@ class Downloader: file_contents = response.content logger.debug("Downloaded.") else: + # pylint: disable-next=broad-exception-raised raise Exception( f"HTTP response {response.status_code} from url {file_url}. Info: {response.content}" ) diff --git a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py index ad0514ff..4fcf0d9f 100644 --- a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py +++ b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py @@ -39,6 +39,7 @@ def _choose_best_mask( for mask in masks_in_priority_order: if any(geo_df[mask][column_to_impute].notna()): return mask + # pylint: disable-next=broad-exception-raised raise Exception("No mask found") diff --git a/data/data-pipeline/data_pipeline/score/score_narwhal.py b/data/data-pipeline/data_pipeline/score/score_narwhal.py index cfdab639..18ff8676 100644 --- a/data/data-pipeline/data_pipeline/score/score_narwhal.py +++ b/data/data-pipeline/data_pipeline/score/score_narwhal.py @@ -1014,12 +1014,12 @@ class ScoreNarwhal(Score): ) def _mark_territory_dacs(self) -> None: - """Territory tracts that are flagged as low income are Score N communities. - """ + """Territory tracts that are flagged as low income are Score N communities.""" self.df[field_names.SCORE_N_COMMUNITIES] = np.where( - self.df[field_names.GEOID_TRACT_FIELD] - .str.startswith(tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)) & - self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED], + self.df[field_names.GEOID_TRACT_FIELD].str.startswith( + tuple(constants.TILES_ISLAND_AREA_FIPS_CODES) + ) + & self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED], True, self.df[field_names.SCORE_N_COMMUNITIES], ) @@ -1049,9 +1049,14 @@ class ScoreNarwhal(Score): combined_column_name=field_names.COMBINED_POVERTY_LESS_THAN_200_FPL_FIELD_2010, threshold_cutoff_for_island_areas=self.LOW_INCOME_THRESHOLD, ) - self.df.loc[self.df[field_names.GEOID_TRACT_FIELD].str.startswith(tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)), - field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED] = ( - self.df[island_areas_poverty_200_criteria_field_name] >= self.LOW_INCOME_THRESHOLD + self.df.loc[ + self.df[field_names.GEOID_TRACT_FIELD].str.startswith( + tuple(constants.TILES_ISLAND_AREA_FIPS_CODES) + ), + field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED, + ] = ( + self.df[island_areas_poverty_200_criteria_field_name] + >= self.LOW_INCOME_THRESHOLD ) def _get_percent_of_tract_that_is_dac(self) -> float: diff --git a/data/data-pipeline/data_pipeline/tests/score/test_score_narwhal_methods.py b/data/data-pipeline/data_pipeline/tests/score/test_score_narwhal_methods.py index a559e46c..4b8fe471 100644 --- a/data/data-pipeline/data_pipeline/tests/score/test_score_narwhal_methods.py +++ b/data/data-pipeline/data_pipeline/tests/score/test_score_narwhal_methods.py @@ -2,7 +2,6 @@ import pandas as pd import pytest from data_pipeline.config import settings -from data_pipeline.etl.score import constants from data_pipeline.etl.score.etl_score import ScoreETL from data_pipeline.score import field_names from data_pipeline.score.score_narwhal import ScoreNarwhal @@ -13,9 +12,11 @@ logger = get_module_logger(__name__) TEST_DATA_FOLDER = settings.APP_ROOT / "tests" / "score" / "test_utils" / "data" + @pytest.fixture def toy_score_df(scope="module"): - return pd.read_csv(TEST_DATA_FOLDER / "test_drop_tracts_from_percentile.csv", + return pd.read_csv( + TEST_DATA_FOLDER / "test_drop_tracts_from_percentile.csv", dtype={field_names.GEOID_TRACT_FIELD: str}, ) @@ -84,7 +85,8 @@ def test_drop_all_tracts(toy_score_df): def test_mark_territory_dacs(): - test_data = pd.read_csv(TEST_DATA_FOLDER / "test_mark_territory_dacs.csv", + test_data = pd.read_csv( + TEST_DATA_FOLDER / "test_mark_territory_dacs.csv", dtype={field_names.GEOID_TRACT_FIELD: str}, ) # Sanity check on the input data @@ -92,18 +94,22 @@ def test_mark_territory_dacs(): scorer = ScoreNarwhal(test_data) scorer._mark_territory_dacs() - territory_filter = test_data[field_names.GEOID_TRACT_FIELD].str.startswith(tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)) # Check territories are set to true - expected_new_dacs_filter = ( - test_data[field_names.GEOID_TRACT_FIELD].isin(['60050951100', '66010951100', '69110001101', '78010990000']) + expected_new_dacs_filter = test_data[field_names.GEOID_TRACT_FIELD].isin( + ["60050951100", "66010951100", "69110001101", "78010990000"] ) - assert test_data.loc[expected_new_dacs_filter, field_names.SCORE_N_COMMUNITIES].all() + assert test_data.loc[ + expected_new_dacs_filter, field_names.SCORE_N_COMMUNITIES + ].all() # Non-territories are still false - assert not test_data.loc[~expected_new_dacs_filter, field_names.SCORE_N_COMMUNITIES].all() + assert not test_data.loc[ + ~expected_new_dacs_filter, field_names.SCORE_N_COMMUNITIES + ].all() def test_mark_poverty_flag(): - test_data = pd.read_csv(TEST_DATA_FOLDER / "test_mark_poverty_flag.csv", + test_data = pd.read_csv( + TEST_DATA_FOLDER / "test_mark_poverty_flag.csv", dtype={field_names.GEOID_TRACT_FIELD: str}, ) # Sanity check on the input data @@ -111,14 +117,14 @@ def test_mark_poverty_flag(): scorer = ScoreNarwhal(test_data) scorer._mark_poverty_flag() - expected_low_income_filter = ( - test_data[field_names.GEOID_TRACT_FIELD].isin(['36087011302', '66010951100', '78010990000']) + expected_low_income_filter = test_data[field_names.GEOID_TRACT_FIELD].isin( + ["36087011302", "66010951100", "78010990000"] ) # Three tracts are set to true - assert ( - test_data[expected_low_income_filter][field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED].all() - ) + assert test_data[expected_low_income_filter][ + field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED + ].all() # Everything else is false - assert ( - not test_data[~expected_low_income_filter][field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED].all() - ) + assert not test_data[~expected_low_income_filter][ + field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED + ].all() diff --git 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