def register_run_keyword(self, libname, keyword, args_to_process=None):
if args_to_process is None:
args_to_process = self._get_args_from_method(keyword)
keyword = keyword.__name__
if libname not in self._libs:
self._libs[libname] = NormalizedDict(ignore=['_'])
self._libs[libname][keyword] = int(args_to_process)
def __init__(self, combined_stats):
#: Dictionary, where key is the name of the tag as a string and value
#: is an instance of :class:`~robot.model.stats.TagStat`.
self.tags = NormalizedDict(ignore=['_'])
#: Dictionary, where key is the name of the created tag as a string
# and value is an instance of :class:`~robot.model.stats.TagStat`.
self.combined = combined_stats
class EmptyFinder(object):
identifiers = '$@&'
find = NormalizedDict({
'${EMPTY}': '',
'@{EMPTY}': (),
'&{EMPTY}': {}
},
ignore='_').__getitem__
class ForLoop(_WithSteps):
"""The parsed representation of a for-loop.
:param list declaration: The literal cell values that declare the loop
(excluding ":FOR").
:param str comment: A comment, default None.
:ivar str flavor: The value of the 'IN' item, uppercased.
Typically 'IN', 'IN RANGE', 'IN ZIP', or 'IN ENUMERATE'.
:ivar list vars: Variables set per-iteration by this loop.
:ivar list items: Loop values that come after the 'IN' item.
:ivar str comment: A comment, or None.
:ivar list steps: A list of steps in the loop.
"""
flavors = {'IN', 'IN RANGE', 'IN ZIP', 'IN ENUMERATE'}
normalized_flavors = NormalizedDict((f, f) for f in flavors)
def __init__(self, parent, declaration, comment=None):
self.parent = parent
self.flavor, index = self._get_flavor_and_index(declaration)
self.vars = declaration[:index]
self.items = declaration[index + 1:]
self.comment = Comment(comment)
self.steps = []
def _get_flavor_and_index(self, declaration):
for index, item in enumerate(declaration):
if item in self.flavors:
return item, index
if item in self.normalized_flavors:
correct = self.normalized_flavors[item]
self._report_deprecated_flavor_syntax(item, correct)
return correct, index
if normalize(item).startswith('in'):
return item.upper(), index
return 'IN', len(declaration)
def _report_deprecated_flavor_syntax(self, deprecated, correct):
self.parent.report_invalid_syntax(
"Using '%s' as a FOR loop separator is deprecated. "
"Use '%s' instead." % (deprecated, correct),
level='WARN')
def is_comment(self):
return False
def is_for_loop(self):
return True
def as_list(self, indent=False, include_comment=True):
comments = self.comment.as_list() if include_comment else []
return ['FOR'] + self.vars + [self.flavor] + self.items + comments
def __iter__(self):
return iter(self.steps)
def is_set(self):
return True
def __init__(self, critical_stats, non_critical_stats, combined_stats):
#: Dictionary, where key is the name of the tag as a string and value
#: is an instance of :class:`~robot.model.stats.TagStat`.
self.tags = NormalizedDict(ignore='_')
#: List of :class:`~robot.model.stats.CriticalTagStat` objects.
self.critical = critical_stats
#: List of :class:`~robot.model.stats.CriticalTagStat` objects.
self.non_critical = non_critical_stats
#: List of :class:`~robot.model.stats.CombinedTagStat` objects.
self.combined = combined_stats
def register_run_keyword(self,
libname,
keyword,
args_to_process=None,
deprecation_warning=True):
if deprecation_warning:
warnings.warn(self._deprecation_warning(), UserWarning)
if args_to_process is None:
args_to_process = self._get_args_from_method(keyword)
keyword = keyword.__name__
if libname not in self._libs:
self._libs[libname] = NormalizedDict(ignore=['_'])
self._libs[libname][keyword] = int(args_to_process)
def start_suite(self, suite):
self._output.library_listeners.new_suite_scope()
result = TestSuite(source=suite.source,
name=suite.name,
doc=suite.doc,
metadata=suite.metadata,
starttime=get_timestamp(),
rpa=self._settings.rpa)
if not self.result:
result.set_criticality(self._settings.critical_tags,
self._settings.non_critical_tags)
self.result = Result(root_suite=result, rpa=self._settings.rpa)
self.result.configure(status_rc=self._settings.status_rc,
stat_config=self._settings.statistics_config)
else:
self._suite.suites.append(result)
self._suite = result
self._suite_status = SuiteStatus(self._suite_status,
self._settings.exit_on_failure,
self._settings.exit_on_error,
self._settings.skip_teardown_on_exit)
ns = Namespace(self._variables, result, suite.resource)
ns.start_suite()
ns.variables.set_from_variable_table(suite.resource.variables)
EXECUTION_CONTEXTS.start_suite(result, ns, self._output,
self._settings.dry_run)
self._context.set_suite_variables(result)
if not self._suite_status.failures:
ns.handle_imports()
ns.variables.resolve_delayed()
result.doc = self._resolve_setting(result.doc)
result.metadata = [(self._resolve_setting(n), self._resolve_setting(v))
for n, v in result.metadata.items()]
self._context.set_suite_variables(result)
self._output.start_suite(
ModelCombiner(suite,
result,
tests=suite.tests,
suites=suite.suites,
test_count=suite.test_count))
self._output.register_error_listener(self._suite_status.error_occurred)
self._run_setup(suite.keywords.setup, self._suite_status)
self._executed_tests = NormalizedDict(ignore='_')
def _escape_and_encode_targets(self, targets):
return NormalizedDict(
(html_escape(key), self._encode_uri_component(value))
for key, value in targets.items())
def start_suite(self):
if not self._scopes:
self._suite = NormalizedDict(ignore='_')
else:
self._suite = self._scopes[-1].copy()
self._scopes.append(self._suite)
def _normalize(self, tags):
normalized = NormalizedDict(((unic(t), 1) for t in tags), ignore='_')
for removed in '', 'NONE':
if removed in normalized:
normalized.pop(removed)
return tuple(normalized)
def _get_critical_and_non_critical_matcher(self):
crits = [stat for stat in self.critical + self.non_critical
if isinstance(stat.pattern, SingleTagPattern)]
return NormalizedDict([(unicode(stat.pattern), None) for stat in crits],
ignore='_')
def __init__(self, parent=None, source=None):
self.parent = parent
self.source = abspath(source) if source else None
self.children = []
self._tables = NormalizedDict(self._get_tables())
def as_dict(self, decoration=True):
if decoration:
variables = (self._decorate(name, self[name]) for name in self)
else:
variables = self.data
return NormalizedDict(variables, ignore='_')
def __init__(self, variables):
self.data = NormalizedDict(ignore='_')
self._variables = variables
def __init__(self, source):
self._source = source
self._normal = NormalizedDict(ignore='_')
self._embedded = []
