swaggerconformance.strategies module

Extra hypothesis strategies built from those in hypothesis.strategies, and helper functions for merging dictionary type strategies and dictionaries of strategies.

swaggerconformance.strategies.json(value_limit=5)

Hypothesis strategy for generating values that can be passed to json.dumps to produce valid JSON data.

Parameters:value_limit (int) – A limit on the number of values in the JSON data - setting this too high can cause value generation to time out.

swaggerconformance.strategies.dates()

Hypothesis strategy for generating datetime.date values.

swaggerconformance.strategies.times()

Hypothesis strategy for generating datetime.time values.

swaggerconformance.strategies.datetimes()

Hypothesis strategy for generating datetime.datetime values.

swaggerconformance.strategies.file_objects()

Hypothesis strategy for generating pre-populated file objects.

swaggerconformance.strategies.files()

Hypothesis strategy for generating objects pyswagger can use as file handles to populate file format parameters.

Generated values take the format: dict('data': <file object>)

swaggerconformance.strategies.merge_dicts_strategy(dict_strat_1, dict_strat_2)

Strategy merging two strategies producting dicts into one.

swaggerconformance.strategies.merge_dicts_max_size_strategy(dict1, dict2, max_size)

Combine dict strategies into one to produce a dict up to a max size.

Assumes both dicts have distinct keys.

Parameters:max_size (int) – Maximum number of keys in dicts generated by the strategy.

swaggerconformance.strategies.merge_optional_dict_strategy(required_fields, optional_fields)

Combine dicts of strings mapping to required and optional strategies.

Parameters:

• required_fields (dict(str)) – Mapping containing required fields.
• optional_fields (dict(str)) – Mapping containing optional fields.