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137 lines
4.6 KiB
137 lines
4.6 KiB
# Copyright 2013 Dean Gardiner <gardiner91@gmail.com>
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from logr import Logr
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from caper.helpers import is_list_type, update_dict
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class FragmentMatcher(object):
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def __init__(self, pattern_groups):
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self.regex = {}
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self.construct_patterns(pattern_groups)
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def construct_patterns(self, pattern_groups):
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for group_name, patterns in pattern_groups:
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if group_name not in self.regex:
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self.regex[group_name] = []
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# Transform into weight groups
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if type(patterns[0]) is str or type(patterns[0][0]) not in [int, float]:
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patterns = [(1.0, patterns)]
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for weight, patterns in patterns:
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weight_patterns = []
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for pattern in patterns:
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# Transform into multi-fragment patterns
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if type(pattern) is str:
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pattern = (pattern,)
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if type(pattern) is tuple and len(pattern) == 2:
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if type(pattern[0]) is str and is_list_type(pattern[1], str):
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pattern = (pattern,)
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result = []
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for value in pattern:
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if type(value) is tuple:
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if len(value) == 2:
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# Construct OR-list pattern
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value = value[0] % '|'.join(value[1])
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elif len(value) == 1:
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value = value[0]
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result.append(re.compile(value, re.IGNORECASE))
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weight_patterns.append(tuple(result))
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self.regex[group_name].append((weight, weight_patterns))
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def find_group(self, name):
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for group_name, weight_groups in self.regex.items():
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if group_name and group_name == name:
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return group_name, weight_groups
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return None
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def value_match(self, value, group_name=None, single=True):
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result = None
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for group, weight_groups in self.regex.items():
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if group_name and group != group_name:
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continue
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# TODO handle multiple weights
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weight, patterns = weight_groups[0]
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for pattern in patterns:
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match = pattern[0].match(value)
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if not match:
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continue
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if result is None:
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result = {}
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if group not in result:
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result[group] = {}
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result[group].update(match.groupdict())
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if single:
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return result
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return result
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def fragment_match(self, fragment, group_name=None):
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"""Follow a fragment chain to try find a match
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:type fragment: caper.objects.CaperFragment
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:type group_name: str or None
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:return: The weight of the match found between 0.0 and 1.0,
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where 1.0 means perfect match and 0.0 means no match
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:rtype: (float, dict, int)
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"""
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group_name, weight_groups = self.find_group(group_name)
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for weight, patterns in weight_groups:
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for pattern in patterns:
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cur_fragment = fragment
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success = True
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result = {}
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# Ignore empty patterns
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if len(pattern) < 1:
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break
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for fragment_pattern in pattern:
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if not cur_fragment:
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success = False
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break
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match = fragment_pattern.match(cur_fragment.value)
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if match:
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update_dict(result, match.groupdict())
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else:
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success = False
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break
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cur_fragment = cur_fragment.right if cur_fragment else None
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if success:
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Logr.debug("Found match with weight %s" % weight)
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return float(weight), result, len(pattern)
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return 0.0, None, 1
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