def run_general_rules(self):
self.save_result(garbage_symbols(self.source_items))
self.save_result(
coverage_rules.check_fields_coverage(
self.source_items.df.drop(columns=["_type", "_key"])
)
)
def run_general_rules(self):
self.save_result(garbage_symbols(self.source_items.df))
df = self.source_items.df
self.save_result(
coverage_rules.check_fields_coverage(
df.drop(columns=df.columns[df.columns.str.startswith("_")])))
self.save_result(category_rules.get_categories(df))
def run_general_rules(self):
self.save_result(garbage_symbols(self.source_items.df))
df = self.source_items.df
self.save_result(
coverage_rules.check_fields_coverage(
df.drop(columns=df.columns[df.columns.str.startswith("_")])))
self.save_result(category_rules.get_categories(df))
if getattr(self, "uniques", None):
self.save_result(
duplicate_rules.find_by(self.source_items.df, self.uniques))
def scraped_fields_coverage(self, df: pd.DataFrame) -> None:
coverage_res = self.report.results.get(
"Fields Coverage", coverage_rules.check_fields_coverage(df))
self.figures.extend(coverage_res.figures)
def test_check_fields_coverage(df, expected_messages, expected_stats):
result = cov.check_fields_coverage(df)
assert result == create_result("Fields Coverage", expected_messages,
expected_stats)
def test_check_fields_coverage(df, expected_messages, expected_stats):
assert_results_equal(
cov.check_fields_coverage(df),
create_result("Fields Coverage", expected_messages, expected_stats),
)
def run_general_rules(self):
self.save_result(garbage_symbols(self.source_items))
self.save_result(
coverage_rules.check_fields_coverage(self.source_items.df))
