hypothesis-csv
hypothesis-csv is an extension to the hypothesis framework. The goal of this framework is to offer a flexible tool
to perform generative-testing/property-based testing for software that accepts CSV files as an input.
Description
hypothesis-csv is designed with two main use cases in mind:
- test software that accepts a wide spectrum of CSV formats and doesn't make assumptions on the content (i.e. CSV parsers)
- test software that accepts very specific CSV formats and makes assumption on the content, types and header fields.
It provides two strategies, data_rows and csv, to pursue this goal, both contained in the strategies module.
Please refer to their documentation and the examples for more details.
Examples
Generate arbitrary, non-empty CSV
from hypothesis_csv.strategies import csv
@given(csv=csv())
def test_my_csv_parse(csv):
parsed_csv=my_csv_parser(csv)
assert ...Generate CSV of a given size (5 columns x 20 rows)
from hypothesis_csv.strategies import csv
@given(csv=csv(lines=20,header=5))
def test_my_csv_parse(csv):
parsed_csv=my_csv_parser(csv)
assert parsed_csv.num_columns == 5
assert parsed_csv.num_rows == 20Generate CSV with a header
from hypothesis_csv.strategies import csv
@given(csv=csv(header=["timestamp","val_1","val_2"]))
def test_my_csv_parse(csv):
parsed_csv=my_csv_parser(csv)
assert parsed_csv.num_columns == 3Generate CSV with columns of a given type
from hypothesis_csv.strategies import csv
@given(csv=csv(columns=[text(),int(),float()]))
def test_my_csv_parse(csv):
parsed_csv=my_csv_parser(csv)
assert parsed_csv.num_columns == 3Generate CSV with a given dialect
from hypothesis_csv.strategies import csv
@given(csv=csv(columns=[text(),int(),float()], dialect="excel-tab"))
def test_my_csv_parse(csv):
...Generate CSV with drawns dialects
from hypothesis_csv.strategies import csv
@given(csv=csv(columns=[text(),int(),float()], dialect=None))
def test_my_csv_parse(csv):
...
