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fixing up validation

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lucasmbrown-usds 2022-09-21 16:07:54 -04:00
commit a3ad7e0a5a
2 changed files with 19 additions and 8 deletions
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16
data/data-pipeline/data_pipeline/etl/base.py
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@ -119,6 +119,12 @@ class ExtractTransformLoad:
# the YAML files?
LOAD_YAML_CONFIG: bool = False
# Some data sets will have multiple rows of data per tract. For those data sets,
# set this variable to `True` to skip two validation steps.
# However, note that datasets with multiple rows per tract *cannot* be used
# in the score process.
VALIDATE_SHOULD_SKIP_DUPLICATE_GEOGRAPHIES_AND_GEOGRAPHY_COUNT: bool = False
# We use output_df as the final dataframe to use to write to the CSV
# It is used on the "load" base class method
output_df: pd.DataFrame = None
@ -276,7 +282,10 @@ class ExtractTransformLoad:
f"Must have `{geo_field}` in columns if "
f"specifying geo level as `{geo_level} "
)
if self.output_df.shape[0] > expected_rows:
if (
self.output_df.shape[0] > expected_rows
and not self.VALIDATE_SHOULD_SKIP_DUPLICATE_GEOGRAPHIES_AND_GEOGRAPHY_COUNT
):
raise ValueError(
f"Too many rows: `{self.output_df.shape[0]}` rows in "
f"output exceeds expectation of `{expected_rows}` "
@ -302,7 +311,10 @@ class ExtractTransformLoad:
self.output_df[geo_field].shape[0]
- self.output_df[geo_field].nunique()
)
if duplicate_geo_field_values > 0:
if (
duplicate_geo_field_values > 0
and not self.VALIDATE_SHOULD_SKIP_DUPLICATE_GEOGRAPHIES_AND_GEOGRAPHY_COUNT
):
raise ValueError(
f"Duplicate values: There are {duplicate_geo_field_values} "
f"duplicate values in "