Base classes for matcher and library
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# 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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class CaptureConstraint(object):
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def __init__(self, capture_group, constraint_type, comparisons=None, target=None, **kwargs):
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"""Capture constraint object
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:type capture_group: CaptureGroup
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"""
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self.capture_group = capture_group
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self.constraint_type = constraint_type
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self.target = target
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self.comparisons = comparisons if comparisons else []
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self.kwargs = {}
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for orig_key, value in kwargs.items():
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key = orig_key.split('__')
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if len(key) != 2:
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self.kwargs[orig_key] = value
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continue
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name, method = key
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method = 'constraint_match_' + method
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if not hasattr(self, method):
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self.kwargs[orig_key] = value
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continue
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self.comparisons.append((name, getattr(self, method), value))
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def execute(self, parent_node, node, **kwargs):
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func_name = 'constraint_%s' % self.constraint_type
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if hasattr(self, func_name):
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return getattr(self, func_name)(parent_node, node, **kwargs)
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raise ValueError('Unknown constraint type "%s"' % self.constraint_type)
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#
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# Node Matching
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#
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def constraint_match(self, parent_node, node):
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results = []
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total_weight = 0
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for name, method, argument in self.comparisons:
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weight, success = method(node, name, argument)
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total_weight += weight
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results.append(success)
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return total_weight / (float(len(results)) or 1), all(results) if len(results) > 0 else False
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def constraint_match_eq(self, node, name, expected):
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if not hasattr(node, name):
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return 1.0, False
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return 1.0, getattr(node, name) == expected
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def constraint_match_re(self, node, name, arg):
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# Node match
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if name == 'node':
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group, minimum_weight = arg if type(arg) is tuple and len(arg) > 1 else (arg, 0)
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weight, match, num_fragments = self.capture_group.parser.matcher.fragment_match(node, group)
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return weight, weight > minimum_weight
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# Regex match
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if type(arg).__name__ == 'SRE_Pattern':
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return 1.0, arg.match(getattr(node, name)) is not None
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# Value match
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if hasattr(node, name):
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match = self.capture_group.parser.matcher.value_match(getattr(node, name), arg, single=True)
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return 1.0, match is not None
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raise ValueError("Unknown constraint match type '%s'" % name)
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#
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# Result
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#
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def constraint_result(self, parent_node, fragment):
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ctag = self.kwargs.get('tag')
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if not ctag:
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return 0, False
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ckey = self.kwargs.get('key')
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for tag, result in parent_node.captured():
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if tag != ctag:
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continue
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if not ckey or ckey in result.keys():
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return 1.0, True
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return 0.0, False
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#
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# Failure
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#
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def constraint_failure(self, parent_node, fragment, match):
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if not match or not match.success:
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return 1.0, True
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return 0, False
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#
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# Success
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#
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def constraint_success(self, parent_node, fragment, match):
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if match and match.success:
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return 1.0, True
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return 0, False
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def __repr__(self):
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return "CaptureConstraint(comparisons=%s)" % repr(self.comparisons)
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