# Copyright 2016 Grist Labs, Inc. # # 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. import ast import bisect import token import tokenize import io import six from six.moves import xrange # pylint: disable=redefined-builtin from .line_numbers import LineNumbers from .util import Token, match_token from .mark_tokens import MarkTokens class ASTTokens(object): """ ASTTokens maintains the text of Python code in several forms: as a string, as line numbers, and as tokens, and is used to mark and access token and position information. ``source_text`` must be a unicode or UTF8-encoded string. If you pass in UTF8 bytes, remember that all offsets you'll get are to the unicode text, which is available as the ``.text`` property. If ``parse`` is set, the ``source_text`` will be parsed with ``ast.parse()``, and the resulting tree marked with token info and made available as the ``.tree`` property. If ``tree`` is given, it will be marked and made available as the ``.tree`` property. In addition to the trees produced by the ``ast`` module, ASTTokens will also mark trees produced using ``astroid`` library . If only ``source_text`` is given, you may use ``.mark_tokens(tree)`` to mark the nodes of an AST tree created separately. """ def __init__(self, source_text, parse=False, tree=None): if isinstance(source_text, six.binary_type): source_text = source_text.decode('utf8') self._tree = ast.parse(source_text) if parse else tree self._text = source_text self._line_numbers = LineNumbers(source_text) # Tokenize the code. self._tokens = list(self._generate_tokens(source_text)) # Extract the start positions of all tokens, so that we can quickly map positions to tokens. self._token_offsets = [tok.startpos for tok in self._tokens] if self._tree: self.mark_tokens(self._tree) def mark_tokens(self, root_node): """ Given the root of the AST or Astroid tree produced from source_text, visits all nodes marking them with token and position information by adding ``.first_token`` and ``.last_token``attributes. This is done automatically in the constructor when ``parse`` or ``tree`` arguments are set, but may be used manually with a separate AST or Astroid tree. """ # The hard work of this class is done by MarkTokens MarkTokens(self).visit_tree(root_node) def _generate_tokens(self, text): """ Generates tokens for the given code. """ # This is technically an undocumented API for Python3, but allows us to use the same API as for # Python2. See http://stackoverflow.com/a/4952291/328565. for index, tok in enumerate(tokenize.generate_tokens(io.StringIO(text).readline)): tok_type, tok_str, start, end, line = tok yield Token(tok_type, tok_str, start, end, line, index, self._line_numbers.line_to_offset(start[0], start[1]), self._line_numbers.line_to_offset(end[0], end[1])) @property def text(self): """The source code passed into the constructor.""" return self._text @property def tokens(self): """The list of tokens corresponding to the source code from the constructor.""" return self._tokens @property def tree(self): """The root of the AST tree passed into the constructor or parsed from the source code.""" return self._tree def get_token_from_offset(self, offset): """ Returns the token containing the given character offset (0-based position in source text), or the preceeding token if the position is between tokens. """ return self._tokens[bisect.bisect(self._token_offsets, offset) - 1] def get_token(self, lineno, col_offset): """ Returns the token containing the given (lineno, col_offset) position, or the preceeding token if the position is between tokens. """ # TODO: add test for multibyte unicode. We need to translate offsets from ast module (which # are in utf8) to offsets into the unicode text. tokenize module seems to use unicode offsets # but isn't explicit. return self.get_token_from_offset(self._line_numbers.line_to_offset(lineno, col_offset)) def get_token_from_utf8(self, lineno, col_offset): """ Same as get_token(), but interprets col_offset as a UTF8 offset, which is what `ast` uses. """ return self.get_token(lineno, self._line_numbers.from_utf8_col(lineno, col_offset)) def next_token(self, tok, include_extra=False): """ Returns the next token after the given one. If include_extra is True, includes non-coding tokens from the tokenize module, such as NL and COMMENT. """ i = tok.index + 1 if not include_extra: while self._tokens[i].type >= token.N_TOKENS: i += 1 return self._tokens[i] def prev_token(self, tok, include_extra=False): """ Returns the previous token before the given one. If include_extra is True, includes non-coding tokens from the tokenize module, such as NL and COMMENT. """ i = tok.index - 1 if not include_extra: while self._tokens[i].type >= token.N_TOKENS: i -= 1 return self._tokens[i] def find_token(self, start_token, tok_type, tok_str=None, reverse=False): """ Looks for the first token, starting at start_token, that matches tok_type and, if given, the token string. Searches backwards if reverse is True. """ t = start_token advance = self.prev_token if reverse else self.next_token while not match_token(t, tok_type, tok_str) and not token.ISEOF(t.type): t = advance(t) return t def token_range(self, first_token, last_token, include_extra=False): """ Yields all tokens in order from first_token through and including last_token. If include_extra is True, includes non-coding tokens such as tokenize.NL and .COMMENT. """ for i in xrange(first_token.index, last_token.index + 1): if include_extra or self._tokens[i].type < token.N_TOKENS: yield self._tokens[i] def get_tokens(self, node, include_extra=False): """ Yields all tokens making up the given node. If include_extra is True, includes non-coding tokens such as tokenize.NL and .COMMENT. """ return self.token_range(node.first_token, node.last_token, include_extra=include_extra) def get_text_range(self, node): """ After mark_tokens() has been called, returns the (startpos, endpos) positions in source text corresponding to the given node. Returns (0, 0) for nodes (like `Load`) that don't correspond to any particular text. """ if not hasattr(node, 'first_token'): return (0, 0) start = node.first_token.startpos if any(match_token(t, token.NEWLINE) for t in self.get_tokens(node)): # Multi-line nodes would be invalid unless we keep the indentation of the first node. start = self._text.rfind('\n', 0, start) + 1 return (start, node.last_token.endpos) def get_text(self, node): """ After mark_tokens() has been called, returns the text corresponding to the given node. Returns '' for nodes (like `Load`) that don't correspond to any particular text. """ start, end = self.get_text_range(node) return self._text[start : end]