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fix(setup): restore security stamp filtering

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This commit is contained in:
matt 2025-10-01 11:11:44 -07:00
parent f48e335e17
commit 4b3ddf5853
4 changed files with 70 additions and 27 deletions
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27
code/file_setup/setup_utils.py
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@ -194,13 +194,36 @@ def filter_dataframe(df: pd.DataFrame, banned_cards: List[str]) -> pd.DataFrame:
filtered_df = df.copy()
filter_config: FilterConfig = FILTER_CONFIG # Type hint for configuration
for field, rules in filter_config.items():
if field not in filtered_df.columns:
logger.warning('Skipping filter for missing field %s', field)
continue
for rule_type, values in rules.items():
if not values:
continue
if rule_type == 'exclude':
for value in values:
filtered_df = filtered_df[~filtered_df[field].str.contains(value, na=False)]
mask = filtered_df[field].astype(str).str.contains(
value,
case=False,
na=False,
regex=False
)
filtered_df = filtered_df[~mask]
elif rule_type == 'require':
for value in values:
filtered_df = filtered_df[filtered_df[field].str.contains(value, na=False)]
mask = filtered_df[field].astype(str).str.contains(
value,
case=False,
na=False,
regex=False
)
filtered_df = filtered_df[mask]
else:
logger.warning('Unknown filter rule type %s for field %s', rule_type, field)
continue
logger.debug(f'Applied {rule_type} filter for {field}: {values}')
# Remove illegal sets