#!/usr/bin/python # coding: utf-8 """Lexical analysis of formal languages (i.e. code) using Pygments.""" # :Author: Georg Brandl; Felix Wiemann; Günter Milde # :Date: $Date: 2011-12-20 15:14:21 +0100 (Die, 20 Dez 2011) $ # :Copyright: This module has been placed in the public domain. from docutils import ApplicationError try: import pygments from pygments.lexers import get_lexer_by_name from pygments.formatters.html import _get_ttype_class with_pygments = True except ImportError: with_pygments = False # Filter the following token types from the list of class arguments: unstyled_tokens = ['token', # Token (base token type) 'text', # Token.Text ''] # short name for Token and Text # (Add, e.g., Token.Punctuation with ``unstyled_tokens += 'punctuation'``.) class LexerError(ApplicationError): pass class Lexer(object): """Parse `code` lines and yield "classified" tokens. Arguments code -- string of source code to parse, language -- formal language the code is written in, tokennames -- either 'long', 'short', or '' (see below). Merge subsequent tokens of the same token-type. Iterating over an instance yields the tokens as ``(tokentype, value)`` tuples. The value of `tokennames` configures the naming of the tokentype: 'long': downcased full token type name, 'short': short name defined by pygments.token.STANDARD_TYPES (= class argument used in pygments html output), 'none': skip lexical analysis. """ def __init__(self, code, language, tokennames='short'): """ Set up a lexical analyzer for `code` in `language`. """ self.code = code self.language = language self.tokennames = tokennames self.lexer = None # get lexical analyzer for `language`: if language in ('', 'text') or tokennames == 'none': return if not with_pygments: raise LexerError('Cannot analyze code. ' 'Pygments package not found.') try: self.lexer = get_lexer_by_name(self.language) except pygments.util.ClassNotFound: raise LexerError('Cannot analyze code. ' 'No Pygments lexer found for "%s".' % language) # Since version 1.2. (released Jan 01, 2010) Pygments has a # TokenMergeFilter. However, this requires Python >= 2.4. When Docutils # requires same minimal version, ``self.merge(tokens)`` in __iter__ can # be replaced by ``self.lexer.add_filter('tokenmerge')`` in __init__. def merge(self, tokens): """Merge subsequent tokens of same token-type. Also strip the final newline (added by pygments). """ tokens = iter(tokens) (lasttype, lastval) = next(tokens) for ttype, value in tokens: if ttype is lasttype: lastval += value else: yield(lasttype, lastval) (lasttype, lastval) = (ttype, value) if lastval.endswith('\n'): lastval = lastval[:-1] if lastval: yield(lasttype, lastval) def __iter__(self): """Parse self.code and yield "classified" tokens. """ if self.lexer is None: yield ([], self.code) return tokens = pygments.lex(self.code, self.lexer) for tokentype, value in self.merge(tokens): if self.tokennames == 'long': # long CSS class args classes = str(tokentype).lower().split('.') else: # short CSS class args classes = [_get_ttype_class(tokentype)] classes = [cls for cls in classes if cls not in unstyled_tokens] yield (classes, value) class NumberLines(object): """Insert linenumber-tokens at the start of every code line. Arguments tokens -- iterable of ``(classes, value)`` tuples startline -- first line number endline -- last line number Iterating over an instance yields the tokens with a ``(['ln'], '')`` token added for every code line. Multi-line tokens are splitted.""" def __init__(self, tokens, startline, endline): self.tokens = tokens self.startline = startline # pad linenumbers, e.g. endline == 100 -> fmt_str = '%3d ' self.fmt_str = '%%%dd ' % len(str(endline)) def __iter__(self): lineno = self.startline yield (['ln'], self.fmt_str % lineno) for ttype, value in self.tokens: lines = value.split('\n') for line in lines[:-1]: yield (ttype, line + '\n') lineno += 1 yield (['ln'], self.fmt_str % lineno) yield (ttype, lines[-1])