swaggerconformance.strategies.basestrategies module

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

swaggerconformance.strategies.basestrategies.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.basestrategies.dates()

Hypothesis strategy for generating datetime.date values.

swaggerconformance.strategies.basestrategies.times()

Hypothesis strategy for generating datetime.time values.

swaggerconformance.strategies.basestrategies.datetimes()

Hypothesis strategy for generating datetime.datetime values.

swaggerconformance.strategies.basestrategies.file_objects()

Hypothesis strategy for generating pre-populated file objects.

swaggerconformance.strategies.basestrategies.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.basestrategies.merge_dicts_strategy(dict_strat_1, dict_strat_2)

Strategy merging two strategies producting dicts into one.

swaggerconformance.strategies.basestrategies.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.basestrategies.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.