def validate_pykwalify(response, schema):
"""Make sure the response matches a given schema
Args:
response (Response): reqeusts.Response object
schema (dict): Schema for response
"""
with wrapfile(response.json()) as rdump, wrapfile(schema) as sdump:
verify_generic(rdump, sdump)
def _get_or_wrap_global_cfg(stack, tavern_global_cfg):
"""
Try to parse global configuration from given argument.
Args:
stack (ExitStack): context stack for wrapping file if a dictionary is given
tavern_global_cfg (dict, str): Dictionary or string. It should be a
path to a file or a dictionary with configuration.
Returns:
str: path to global config file
Raises:
InvalidSettingsError: If global config was not of the right type or a given path
does not exist
Todo:
Once python 2 is dropped, allow this to take a 'path like object'
"""
if isinstance(tavern_global_cfg, str):
if not os.path.exists(tavern_global_cfg):
raise exceptions.InvalidSettingsError(
"global config file '{}' does not exist".format(
tavern_global_cfg))
global_filename = tavern_global_cfg
elif isinstance(tavern_global_cfg, dict):
global_filename = stack.enter_context(wrapfile(tavern_global_cfg))
else:
raise exceptions.InvalidSettingsError(
"Invalid format for global settings - must be dict or path to settings file, was {}"
.format(type(tavern_global_cfg)))
return global_filename
def test_load_one(self):
example = {"a": "b"}
with wrapfile(example) as f:
assert example == load_single_document_yaml(f)
