16 lines
978 B
Python
16 lines
978 B
Python
|
def test_dataset(df):
|
||
|
|
"""Test dataset quality and integrity."""
|
||
|
|
column_list = ["id", "created_on", "title", "description", "tag"]
|
||
|
|
df.expect_table_columns_to_match_ordered_list(column_list=column_list) # schema adherence
|
||
|
|
tags = ["computer-vision", "natural-language-processing", "mlops", "other"]
|
||
|
|
df.expect_column_values_to_be_in_set(column="tag", value_set=tags) # expected labels
|
||
|
|
df.expect_compound_columns_to_be_unique(column_list=["title", "description"]) # data leaks
|
||
|
|
df.expect_column_values_to_not_be_null(column="tag") # missing values
|
||
|
|
df.expect_column_values_to_be_unique(column="id") # unique values
|
||
|
|
df.expect_column_values_to_be_of_type(column="title", type_="str") # type adherence
|
||
|
|
|
||
|
|
# Expectation suite
|
||
|
|
expectation_suite = df.get_expectation_suite(discard_failed_expectations=False)
|
||
|
|
results = df.validate(expectation_suite=expectation_suite, only_return_failures=True).to_json_dict()
|
||
|
|
assert results["success"]
|