flattenkeywordmatcher.py

Go to the documentation of this file.

#  Copyright 2008-2015 Nokia Networks
#  Copyright 2016-     Robot Framework Foundation
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
 
from robotide.lib.robot.errors import DataError
from robotide.lib.robot.model import TagPatterns
from robotide.lib.robot.utils import MultiMatcher, is_list_like, py2to3
 
 
def validate_flatten_keyword(options):
    for opt in options:
        low = opt.lower()
        if not (low in ('for', 'foritem') or
                low.startswith('name:') or
                low.startswith('tag:')):
            raise DataError("Expected 'FOR', 'FORITEM', 'TAG:<pattern>', or "
                            "'NAME:<pattern>' but got '%s'." % opt)
 
 
@py2to3
class FlattenByTypeMatcher():
 
    def __init__(self, flatten):
        if not is_list_like(flatten):
            flatten = [flatten]
        flatten = [f.lower() for f in flatten]
        self._types_types = [f for f in flatten if f in ('for', 'foritem')]
 
    def match(self, kwtype):
        return kwtype in self._types_types
 
    def __nonzero__(self):
        return bool(self._types_types)
 
 
@py2to3
class FlattenByNameMatcher():
 
    def __init__(self, flatten):
        if not is_list_like(flatten):
            flatten = [flatten]
        names = [n[5:] for n in flatten if n[:5].lower() == 'name:']
        self._matcher_matcher = MultiMatcher(names)
 
    def match(self, kwname, libname=None):
        name = '%s.%s' % (libname, kwname) if libname else kwname
        return self._matcher_matcher.match(name)
 
    def __nonzero__(self):
        return bool(self._matcher_matcher)
 
 
@py2to3
class FlattenByTagMatcher():
 
    def __init__(self, flatten):
        if not is_list_like(flatten):
            flatten = [flatten]
        patterns = [p[4:] for p in flatten if p[:4].lower() == 'tag:']
        self._matcher_matcher = TagPatterns(patterns)
 
    def match(self, kwtags):
        return self._matcher_matcher.match(kwtags)
 
    def __nonzero__(self):
        return bool(self._matcher_matcher)