mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-10 19:57:17 +03:00
Implementation of Pattern
This commit is contained in:
Raphaël Bournhonesque
parent
47aaecd974
commit
e55199d454
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@ -16,6 +16,10 @@ try:
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except ImportError:
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import copyreg as copy_reg
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try:
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import Queue as queue
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except ImportError:
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import queue
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is_python2 = six.PY2
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is_python3 = six.PY3
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@ -32,6 +36,7 @@ if is_python2:
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basestring_ = basestring
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input_ = raw_input
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json_dumps = lambda data: ujson.dumps(data, indent=2).decode('utf8')
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intern = intern
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elif is_python3:
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bytes_ = bytes
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@ -39,6 +44,7 @@ elif is_python3:
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basestring_ = str
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input_ = input
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json_dumps = lambda data: ujson.dumps(data, indent=2)
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intern = sys.intern
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def symlink_to(orig, dest):
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4
spacy/pattern/__init__.py
Normal file
4
spacy/pattern/__init__.py
Normal file
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@ -0,0 +1,4 @@
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# coding: utf-8
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from .pattern import DependencyTree
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from .parser import PatternParser
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364
spacy/pattern/parser.py
Normal file
364
spacy/pattern/parser.py
Normal file
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@ -0,0 +1,364 @@
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# coding: utf-8
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from spacy.compat import intern, queue
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from operator import itemgetter
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import re
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from hashlib import md5
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import json
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from .pattern import DependencyPattern
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TOKEN_INITIAL = intern('initial')
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class PatternParser(object):
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"""Compile a Pattern query into a :class:`Pattern`, that can be used to
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match :class:`DependencyTree`s."""
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whitespace_re = re.compile(r'\s+', re.U)
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newline_re = re.compile(r'(\r\n|\r|\n)')
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name_re = re.compile(r'\w+', re.U)
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TOKEN_BLOCK_BEGIN = '['
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TOKEN_BLOCK_END = ']'
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EDGE_BLOCK_BEGIN = '>'
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WHITESPACE = ' '
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@classmethod
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def parse(cls, query):
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"""Parse the given `query`, and compile it into a :class:`Pattern`."""
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pattern = DependencyPattern()
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for lineno, token_stream in enumerate(cls.tokenize(query)):
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try:
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cls._parse_line(token_stream, pattern, lineno+1)
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except StopIteration:
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raise SyntaxError("A token is missing, please check your "
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"query.")
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if not pattern.nodes:
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return
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return pattern
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@classmethod
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def _parse_line(cls, stream, pattern, lineno):
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while not stream.closed:
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token = stream.current
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if token.type == 'name':
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next_token = stream.look()
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if next_token.type == 'node':
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cls.parse_node_def(stream, pattern)
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elif next_token.type == 'edge':
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cls.parse_edge_def(stream, pattern)
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else:
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raise SyntaxError("line %d: A 'node' or 'edge' token must "
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"follow a 'name' token." % lineno)
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elif token.type == 'node':
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next_token = stream.look()
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if next_token.type == 'edge':
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cls.parse_edge_def(stream, pattern)
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else:
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raise SyntaxError("line %d: an 'edge' token is "
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"expected." % lineno)
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if not stream.closed:
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next(stream)
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@classmethod
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def parse_node_def(cls, stream, pattern):
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name_token = stream.current
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next(stream)
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node_token = stream.current
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cls.add_node(node_token, pattern, name_token)
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@classmethod
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def add_node(cls, node_token, pattern, name_token=None):
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token_name = None
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if name_token is not None:
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token_id = name_token.value
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token_name = name_token.value
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else:
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token_id = node_token.hash()
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if token_id in pattern.nodes:
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raise SyntaxError("Token with ID '{}' already registered.".format(
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token_id))
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token_attr = cls.parse_node_attributes(node_token.value)
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token_attr['_name'] = token_name
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pattern.add_node(token_id, token_attr)
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@classmethod
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def parse_edge_def(cls, stream, pattern):
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token = stream.current
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if token.type == 'name':
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token_id = token.value
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if token_id not in pattern.nodes:
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raise SyntaxError("Token '{}' with ID '{}' is not "
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"defined.".format(token, token_id))
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elif token.type == 'node':
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token_id = token.hash()
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cls.add_node(token, pattern)
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next(stream)
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edge_attr = cls.parse_edge_attributes(stream.current.value)
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next(stream)
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head_token = stream.current
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if head_token.type == 'name':
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head_token_id = head_token.value
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if head_token_id not in pattern.nodes:
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raise SyntaxError("Token '{}' with ID '{}' is not "
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"defined.".format(head_token, head_token_id))
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elif head_token.type == 'node':
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head_token_id = head_token.hash()
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cls.add_node(head_token, pattern)
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else:
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raise SyntaxError("A 'node' or 'name' token was expected.")
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# inverse the dependency to have an actual tree
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pattern.add_edge(head_token_id, token_id, edge_attr)
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@classmethod
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def parse_node_attributes(cls, string):
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string = string[1:] # remove the trailing '['
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end_delimiter_idx = string.find(']')
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attr_str = string[:end_delimiter_idx]
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attr = {}
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try:
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attr = json.loads(attr_str)
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except json.JSONDecodeError:
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for pair in attr_str.split(","):
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key, value = pair.split(':')
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attr[key] = value
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for key, value in attr.items():
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attr[key] = cls.compile_expression(value)
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alias = string[end_delimiter_idx+2:]
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if alias:
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attr['_alias'] = alias
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return attr
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@classmethod
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def parse_edge_attributes(cls, string):
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string = string[1:] # remove the trailing '>'
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if not string:
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return None
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return cls.compile_expression(string)
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@staticmethod
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def compile_expression(expr):
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if expr.startswith('/') and expr.endswith('/'):
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string = expr[1:-1]
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return re.compile(string, re.U)
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return expr
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@classmethod
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def tokenize(cls, text):
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lines = text.splitlines()
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for lineno, line in enumerate(lines):
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yield TokenStream(cls._tokenize_line(line, lineno+1))
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@classmethod
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def _tokenize_line(cls, line, lineno):
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reader = Reader(line)
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while reader.remaining():
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char = reader.next()
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if char == cls.TOKEN_BLOCK_BEGIN:
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token = 'node'
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idx = reader.find(cls.TOKEN_BLOCK_END)
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if idx == -1:
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raise SyntaxError("A token block end ']' was expected.")
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idx += 1
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if len(reader) > idx and reader[idx] == '=':
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# The node has a name
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idx = reader.find(cls.WHITESPACE, start=idx)
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if idx == -1:
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idx = reader.remaining()
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elif char == cls.EDGE_BLOCK_BEGIN:
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token = 'edge'
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idx = reader.find(cls.WHITESPACE)
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elif cls.name_re.match(char):
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token = 'name'
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idx = reader.find(cls.WHITESPACE)
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if idx == -1:
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whole_name_match = cls.name_re.match(str(reader))
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idx = whole_name_match.end()
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elif cls.newline_re.match(char) or cls.whitespace_re.match(char):
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# skip the whitespace
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reader.consume()
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continue
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else:
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raise SyntaxError("Unrecognized token BEGIN char: '{"
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"}'".format(char))
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if idx == -1:
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raise SyntaxError("Ending character of token '{}' not "
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"found.".format(token))
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value = reader.consume(idx)
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yield Token(lineno, token, value)
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class Token(tuple):
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"""Token class."""
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__slots__ = ()
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lineno, type, value = (property(itemgetter(x)) for x in range(3))
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def __new__(cls, lineno, type, value):
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return tuple.__new__(cls, (lineno, intern(str(type)), value))
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def hash(self):
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string = str(self.value)
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return md5(string.encode('utf-8')).hexdigest()
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def __repr__(self):
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return 'Token(%r, %r, %r)' % (
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self.lineno,
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self.type,
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self.value)
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class Reader(object):
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"""A class used by the :class:`PatternParser` to tokenize the `text`."""
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__slots__ = ('text', 'pos')
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def __init__(self, text):
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self.text = text
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self.pos = 0
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def find(self, needle, start=0, end=None):
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pos = self.pos
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start += pos
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if end is None:
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index = self.text.find(needle, start)
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else:
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end += pos
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index = self.text.find(needle, start, end)
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if index != -1:
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index -= pos
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return index
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def consume(self, count=1):
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new_pos = self.pos + count
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s = self.text[self.pos:new_pos]
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self.pos = new_pos
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return s
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def next(self):
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return self.text[self.pos:self.pos+1]
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def remaining(self):
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return len(self.text) - self.pos
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def __len__(self):
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return self.remaining()
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def __getitem__(self, key):
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if key < 0:
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return self.text[key]
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else:
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return self.text[self.pos + key]
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def __str__(self):
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return self.text[self.pos:]
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class TokenStreamIterator(object):
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"""The iterator for tokenstreams. Iterate over the stream until the
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stream is empty.
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"""
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def __init__(self, stream):
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self.stream = stream
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def __iter__(self):
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return self
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def __next__(self):
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token = self.stream.current
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try:
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next(self.stream)
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except StopIteration:
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self.stream.close()
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raise StopIteration()
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return token
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class TokenStream(object):
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"""A token stream is an iterable that yields :class:`Token`s. The
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current active token is stored as :attr:`current`.
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"""
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def __init__(self, generator):
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self._iter = iter(generator)
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self._pushed = queue.deque()
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self.closed = False
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self.current = Token(1, TOKEN_INITIAL, '')
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next(self)
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def __iter__(self):
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return TokenStreamIterator(self)
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def __bool__(self):
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return bool(self._pushed)
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__nonzero__ = __bool__ # py2
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def push(self, token):
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"""Push a token back to the stream."""
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self._pushed.append(token)
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def look(self):
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"""Look at the next token."""
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old_token = next(self)
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result = self.current
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self.push(result)
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self.current = old_token
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return result
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def __next__(self):
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"""Go one token ahead and return the old one."""
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rv = self.current
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if self._pushed:
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self.current = self._pushed.popleft()
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else:
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if self.closed:
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raise StopIteration("No token left.")
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try:
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self.current = next(self._iter)
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except StopIteration:
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self.close()
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return rv
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def close(self):
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"""Close the stream."""
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self._iter = None
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self.closed = True
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312
spacy/pattern/pattern.py
Normal file
312
spacy/pattern/pattern.py
Normal file
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@ -0,0 +1,312 @@
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# coding: utf-8
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import logging
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from collections import defaultdict
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logger = logging.getLogger(__name__)
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class Tree(object):
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def __init__(self):
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self.adjacency = defaultdict(dict)
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self.nodes = {}
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def __getitem__(self, item):
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return self.nodes[item]
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def number_of_nodes(self):
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return len(self)
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def __len__(self):
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return len(self.nodes)
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def number_of_edges(self):
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return sum(len(adj_dict) for adj_dict in self.adjacency.values())
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def edges_iter(self, origin=None, data=True):
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nbunch = (self.adjacency.items() if origin is None
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else [(origin, self.adjacency[origin])])
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for u, nodes in nbunch:
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for v, dep in nodes.items():
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if data:
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yield (u, v, dep)
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else:
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yield (u, v)
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def nodes_iter(self):
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for node in self.nodes.keys():
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yield node
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def is_connected(self):
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if len(self) == 0:
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raise ValueError('Connectivity is undefined for the null graph.')
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return len(set(self._plain_bfs(next(self.nodes_iter()),
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undirected=True))) == len(self)
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def _plain_bfs(self, source, undirected=False):
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"""A fast BFS node generator.
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:param: source: the source node
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"""
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seen = set()
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next_level = {source}
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while next_level:
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this_level = next_level
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next_level = set()
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for v in this_level:
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if v not in seen:
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yield v
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seen.add(v)
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next_level.update(self.adjacency[v].keys())
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if undirected:
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for n, adj in self.adjacency.items():
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if v in adj.keys():
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next_level.add(n)
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class DependencyPattern(Tree):
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def add_node(self, node, attr_dict=None):
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attr_dict = attr_dict or {}
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self.nodes[node] = attr_dict
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def add_edge(self, u, v, dep=None):
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if u not in self.nodes or v not in self.nodes:
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raise ValueError("Each node must be defined before adding an edge.")
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self.adjacency[u][v] = dep
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@property
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def root_node(self):
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if self.number_of_nodes() == 1:
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# if the graph has a single node, it is the root
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return next(iter(self.nodes.keys()))
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if not self.is_connected():
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return None
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in_node = set()
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out_node = set()
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for u, v in self.edges_iter(data=False):
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in_node.add(v)
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out_node.add(u)
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try:
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return list(out_node.difference(in_node))[0]
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except IndexError:
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return None
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class DependencyTree(Tree):
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def __init__(self, doc):
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super(DependencyTree, self).__init__()
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for token in doc:
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self.nodes[token.i] = token
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# inverse the dependency to have an actual tree
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self.adjacency[token.head.i][token.i] = token.dep_
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def __getitem__(self, item):
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return self.nodes[item]
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def match_nodes(self, attr_dict, **kwargs):
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results = []
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for token_idx, token in self.nodes.items():
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if match_token(token, attr_dict, **kwargs):
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results.append(token_idx)
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return results
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def match(self, pattern):
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"""Return a list of matches between the given
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:class:`DependencyPattern` and `self` if any, or None.
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:param pattern: a :class:`DependencyPattern`
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"""
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pattern_root_node = pattern.root_node
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pattern_root_node_attr = pattern[pattern_root_node]
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dep_root_nodes = self.match_nodes(pattern_root_node_attr)
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matches = []
|
||||
for candidate_root_node in dep_root_nodes:
|
||||
match_list = subtree_in_graph(candidate_root_node, self,
|
||||
pattern_root_node, pattern)
|
||||
for mapping in match_list:
|
||||
match = PatternMatch(mapping, pattern, self)
|
||||
matches.append(match)
|
||||
|
||||
return matches
|
||||
|
||||
|
||||
class PatternMatch(object):
|
||||
def __init__(self, mapping, pattern, tree):
|
||||
for pattern_node_id, tree_node_id in mapping.items():
|
||||
mapping[pattern_node_id] = tree[tree_node_id]
|
||||
self.mapping = mapping
|
||||
self.pattern = pattern
|
||||
self.tree = tree
|
||||
|
||||
self.alias_map = {}
|
||||
for pattern_node_id in self.mapping:
|
||||
pattern_node = self.pattern[pattern_node_id]
|
||||
|
||||
alias = pattern_node.get('_alias')
|
||||
if alias:
|
||||
self.alias_map[alias] = self.mapping[pattern_node_id]
|
||||
|
||||
def __repr__(self):
|
||||
return "<Pattern Match: {} node>".format(len(self.mapping))
|
||||
|
||||
def __getitem__(self, item):
|
||||
return self.alias_map[item]
|
||||
|
||||
|
||||
def subtree_in_graph(dep_tree_node, dep_tree, pattern_node, pattern):
|
||||
"""Return a list of matches of `pattern` as a subtree of `dep_tree`.
|
||||
:param dep_tree_node: the token (identified by its index) to start from
|
||||
(int)
|
||||
:param dep_tree: a :class:`DependencyTree`
|
||||
:param pattern_node: the pattern node to start from
|
||||
:param pattern: a :class:`DependencyPattern`
|
||||
:return: found matches (list)
|
||||
"""
|
||||
results = []
|
||||
association_dict = {pattern_node: dep_tree_node}
|
||||
_subtree_in_graph(dep_tree_node, dep_tree, pattern_node,
|
||||
pattern, results=results,
|
||||
association_dict=association_dict)
|
||||
results = results or []
|
||||
return results
|
||||
|
||||
|
||||
def _subtree_in_graph(dep_tree_node, dep_tree, pattern_node, pattern,
|
||||
association_dict=None, results=None):
|
||||
token = dep_tree[dep_tree_node]
|
||||
logger.debug("Starting from token '{}'".format(token.orth_))
|
||||
|
||||
adjacent_edges = list(pattern.edges_iter(origin=pattern_node))
|
||||
if adjacent_edges:
|
||||
for (_, adjacent_pattern_node,
|
||||
dep) in adjacent_edges:
|
||||
adjacent_pattern_node_attr = pattern[adjacent_pattern_node]
|
||||
logger.debug("Exploring relation {} -[{}]-> {} from "
|
||||
"pattern".format(pattern[pattern_node],
|
||||
dep,
|
||||
adjacent_pattern_node_attr))
|
||||
|
||||
adjacent_nodes = find_adjacent_nodes(dep_tree,
|
||||
dep_tree_node,
|
||||
dep,
|
||||
adjacent_pattern_node_attr)
|
||||
|
||||
if not adjacent_nodes:
|
||||
logger.debug("No adjacent nodes in dep_tree satisfying these "
|
||||
"conditions.")
|
||||
return None
|
||||
|
||||
for adjacent_node in adjacent_nodes:
|
||||
logger.debug("Found adjacent node '{}' in "
|
||||
"dep_tree".format(dep_tree[adjacent_node].orth_))
|
||||
association_dict[adjacent_pattern_node] = adjacent_node
|
||||
recursive_return = _subtree_in_graph(adjacent_node,
|
||||
dep_tree,
|
||||
adjacent_pattern_node,
|
||||
pattern,
|
||||
association_dict,
|
||||
results=results)
|
||||
|
||||
if recursive_return is None:
|
||||
# No Match
|
||||
return None
|
||||
|
||||
association_dict, results = recursive_return
|
||||
|
||||
else:
|
||||
if len(association_dict) == pattern.number_of_nodes():
|
||||
logger.debug("Add to results: {}".format(association_dict))
|
||||
results.append(dict(association_dict))
|
||||
|
||||
else:
|
||||
logger.debug("{} nodes in subgraph, only {} "
|
||||
"mapped".format(pattern.number_of_nodes(),
|
||||
len(association_dict)))
|
||||
|
||||
logger.debug("Return intermediate: {}".format(association_dict))
|
||||
return association_dict, results
|
||||
|
||||
|
||||
def find_adjacent_nodes(dep_tree, node, target_dep, node_attributes):
|
||||
"""Find nodes adjacent to ``node`` that fulfill specified attributes
|
||||
values on edge and node.
|
||||
|
||||
:param dep_tree: a :class:`DependencyTree`
|
||||
:param node: initial node to search from
|
||||
:param target_dep: edge attributes that must be fulfilled (pair-value)
|
||||
:type target_dep: dict
|
||||
:param node_attributes: node attributes that must be fulfilled (pair-value)
|
||||
:type node_attributes: dict
|
||||
:return: adjacent nodes that fulfill the given criteria (list)
|
||||
"""
|
||||
results = []
|
||||
for _, adj_node, adj_dep in dep_tree.edges_iter(origin=node):
|
||||
adj_token = dep_tree[adj_node]
|
||||
if (match_edge(adj_dep, target_dep)
|
||||
and match_token(adj_token, node_attributes)):
|
||||
results.append(adj_node)
|
||||
|
||||
return results
|
||||
|
||||
|
||||
def match_edge(token_dep, target_dep):
|
||||
if target_dep is None:
|
||||
return True
|
||||
|
||||
if hasattr(target_dep, 'match'):
|
||||
return target_dep.match(token_dep) is not None
|
||||
|
||||
if token_dep == target_dep:
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def match_token(token,
|
||||
target_attributes,
|
||||
ignore_special_key=True,
|
||||
lower=True):
|
||||
bind_map = {
|
||||
'word': lambda t: t.orth_,
|
||||
'lemma': lambda t: t.lemma_,
|
||||
}
|
||||
|
||||
if lower:
|
||||
bind_map = {key: lambda t: func(t).lower() for key, func in
|
||||
bind_map.items()}
|
||||
|
||||
for target_key, target_value in target_attributes.items():
|
||||
is_special_key = target_key[0] == '_'
|
||||
|
||||
if ignore_special_key and is_special_key:
|
||||
continue
|
||||
|
||||
if lower and hasattr(target_value, 'lower'):
|
||||
target_value = target_value.lower()
|
||||
|
||||
if target_key in bind_map:
|
||||
token_attr = bind_map[target_key](token)
|
||||
|
||||
if hasattr(target_value, 'match'): # if it is a compiled regex
|
||||
if target_value.match(token_attr) is None:
|
||||
break
|
||||
else:
|
||||
if not token_attr == target_value:
|
||||
break
|
||||
|
||||
else:
|
||||
raise ValueError("Unknown key: '{}'".format(target_key))
|
||||
|
||||
else: # the loop was not broken
|
||||
return True
|
||||
|
||||
return False
|
||||
Loading…
Reference in New Issue
Block a user