def recommend_similar_keywords(self, name):
"""Return keyword names similar to `name`."""
candidates = self._get_candidates('.' in name)
normalizer = lambda name: candidates.get(name, name).lower().replace(
'_', ' ')
finder = RecommendationFinder(normalizer)
return finder.find_recommendations(name, candidates)
def _get_non_existing_setting_message(self, name, normalized):
if normalized in TestCaseFileSettings.names:
is_resource = isinstance(self, ResourceFileSettings)
return "Setting '%s' is not allowed in %s file." % (
name, 'resource' if is_resource else 'suite initialization')
return RecommendationFinder(normalize).find_and_format(
name=normalized,
candidates=tuple(self.settings) + tuple(self.aliases),
message="Non-existing setting '%s'." % name)
def recommend_similar_keywords(self, name, message):
"""Return keyword names similar to `name`."""
candidates = self._get_candidates('.' in name)
finder = RecommendationFinder(
lambda name: normalize(candidates.get(name, name), ignore='_'))
return finder.find_and_format(name,
candidates,
message,
check_missing_argument_separator=True)
def variable_not_found(name, candidates, message=None, deco_braces=True):
"""Raise DataError for missing variable name.
Return recommendations for similar variable names if any are found.
"""
candidates = _decorate_candidates(name[0], candidates, deco_braces)
normalizer = partial(normalize, ignore='$@&%{}_')
message = RecommendationFinder(normalizer).find_and_format(
name, candidates, message=message or "Variable '%s' not found." % name)
raise VariableError(message)
def raise_not_found(name, candidates, msg=None):
"""Raise DataError for missing variable name.
Return recommendations for similar variable names if any are found.
"""
if msg is None:
msg = "Variable '%s' not found." % name
candidates = _decorate_candidates(name[0], candidates)
normalizer = partial(normalize, ignore='$@%&*{}_', caseless=True,
spaceless=True)
finder = RecommendationFinder(normalizer)
recommendations = finder.find_recommendations(name, candidates)
msg = finder.format_recommendations(msg, recommendations)
raise DataError(msg)
def raise_not_found(name, candidates, msg=None, env_vars=False):
"""Raise DataError for missing variable name.
Return recommendations for similar variable names if any are found.
"""
if msg is None:
msg = "Variable '%s' not found." % name
if env_vars:
candidates = list(candidates) + ['%%{%s}' % ev for ev in get_env_vars()]
normalizer = partial(normalize, ignore='$@%&*{}_', caseless=True,
spaceless=True)
finder = RecommendationFinder(normalizer)
recommendations = finder.find_recommendations(name, candidates)
msg = finder.format_recommendations(msg, recommendations)
raise DataError(msg)
def format_recommendations(message, recommendations):
return RecommendationFinder().format(message, recommendations)
def recommend_similar_keywords(self, name):
"""Return keyword names similar to `name`."""
candidates = self._get_candidates('.' in name)
finder = RecommendationFinder(
lambda name: normalize(candidates.get(name, name), ignore='_'))
return finder.find(name, candidates)