forked from github/pelican
478 lines
16 KiB
Python
478 lines
16 KiB
Python
# -*- coding: utf-8 -*-
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from __future__ import unicode_literals, print_function
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import datetime
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import logging
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import os
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import re
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try:
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import docutils
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import docutils.core
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import docutils.io
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from docutils.writers.html4css1 import HTMLTranslator
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# import the directives to have pygments support
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from pelican import rstdirectives # NOQA
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except ImportError:
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docutils = False
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try:
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from markdown import Markdown
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except ImportError:
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Markdown = False # NOQA
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try:
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from asciidocapi import AsciiDocAPI
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asciidoc = True
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except ImportError:
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asciidoc = False
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try:
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from html import escape
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except ImportError:
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from cgi import escape
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try:
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from html.parser import HTMLParser
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except ImportError:
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from HTMLParser import HTMLParser
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from pelican.contents import Page, Category, Tag, Author
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from pelican.utils import get_date, pelican_open
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logger = logging.getLogger(__name__)
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METADATA_PROCESSORS = {
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'tags': lambda x, y: [Tag(tag, y) for tag in x.split(',')],
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'date': lambda x, y: get_date(x),
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'status': lambda x, y: x.strip(),
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'category': Category,
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'author': Author,
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}
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logger = logging.getLogger(__name__)
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class Reader(object):
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enabled = True
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file_extensions = ['static']
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extensions = None
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def __init__(self, settings):
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self.settings = settings
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def process_metadata(self, name, value):
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if name in METADATA_PROCESSORS:
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return METADATA_PROCESSORS[name](value, self.settings)
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return value
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def read(self, source_path):
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"No-op parser"
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content = None
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metadata = {}
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return content, metadata
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class _FieldBodyTranslator(HTMLTranslator):
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def __init__(self, document):
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HTMLTranslator.__init__(self, document)
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self.compact_p = None
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def astext(self):
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return ''.join(self.body)
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def visit_field_body(self, node):
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pass
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def depart_field_body(self, node):
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pass
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def render_node_to_html(document, node):
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visitor = _FieldBodyTranslator(document)
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node.walkabout(visitor)
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return visitor.astext()
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class PelicanHTMLTranslator(HTMLTranslator):
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def visit_abbreviation(self, node):
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attrs = {}
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if node.hasattr('explanation'):
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attrs['title'] = node['explanation']
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self.body.append(self.starttag(node, 'abbr', '', **attrs))
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def depart_abbreviation(self, node):
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self.body.append('</abbr>')
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class RstReader(Reader):
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enabled = bool(docutils)
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file_extensions = ['rst']
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def __init__(self, *args, **kwargs):
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super(RstReader, self).__init__(*args, **kwargs)
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def _parse_metadata(self, document):
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"""Return the dict containing document metadata"""
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output = {}
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for docinfo in document.traverse(docutils.nodes.docinfo):
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for element in docinfo.children:
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if element.tagname == 'field': # custom fields (e.g. summary)
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name_elem, body_elem = element.children
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name = name_elem.astext()
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if name == 'summary':
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value = render_node_to_html(document, body_elem)
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else:
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value = body_elem.astext()
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else: # standard fields (e.g. address)
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name = element.tagname
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value = element.astext()
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name = name.lower()
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output[name] = self.process_metadata(name, value)
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return output
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def _get_publisher(self, source_path):
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extra_params = {'initial_header_level': '2',
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'syntax_highlight': 'short',
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'input_encoding': 'utf-8'}
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user_params = self.settings.get('DOCUTILS_SETTINGS')
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if user_params:
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extra_params.update(user_params)
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pub = docutils.core.Publisher(
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destination_class=docutils.io.StringOutput)
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pub.set_components('standalone', 'restructuredtext', 'html')
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pub.writer.translator_class = PelicanHTMLTranslator
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pub.process_programmatic_settings(None, extra_params, None)
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pub.set_source(source_path=source_path)
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pub.publish()
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return pub
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def read(self, source_path):
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"""Parses restructured text"""
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pub = self._get_publisher(source_path)
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parts = pub.writer.parts
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content = parts.get('body')
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metadata = self._parse_metadata(pub.document)
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metadata.setdefault('title', parts.get('title'))
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return content, metadata
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class MarkdownReader(Reader):
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enabled = bool(Markdown)
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file_extensions = ['md', 'markdown', 'mkd', 'mdown']
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def __init__(self, *args, **kwargs):
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super(MarkdownReader, self).__init__(*args, **kwargs)
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self.extensions = self.settings['MD_EXTENSIONS']
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self.extensions.append('meta')
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self._md = Markdown(extensions=self.extensions)
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def _parse_metadata(self, meta):
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"""Return the dict containing document metadata"""
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output = {}
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for name, value in meta.items():
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name = name.lower()
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if name == "summary":
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summary_values = "\n".join(value)
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# reset the markdown instance to clear any state
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self._md.reset()
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summary = self._md.convert(summary_values)
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output[name] = self.process_metadata(name, summary)
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else:
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output[name] = self.process_metadata(name, value[0])
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return output
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def read(self, source_path):
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"""Parse content and metadata of markdown files"""
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with pelican_open(source_path) as text:
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content = self._md.convert(text)
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metadata = self._parse_metadata(self._md.Meta)
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return content, metadata
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class HTMLReader(Reader):
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"""Parses HTML files as input, looking for meta, title, and body tags"""
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file_extensions = ['htm', 'html']
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enabled = True
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class _HTMLParser(HTMLParser):
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def __init__(self, settings, filename):
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HTMLParser.__init__(self)
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self.body = ''
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self.metadata = {}
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self.settings = settings
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self._data_buffer = ''
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self._filename = filename
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self._in_top_level = True
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self._in_head = False
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self._in_title = False
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self._in_body = False
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self._in_tags = False
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def handle_starttag(self, tag, attrs):
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if tag == 'head' and self._in_top_level:
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self._in_top_level = False
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self._in_head = True
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elif tag == 'title' and self._in_head:
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self._in_title = True
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self._data_buffer = ''
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elif tag == 'body' and self._in_top_level:
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self._in_top_level = False
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self._in_body = True
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self._data_buffer = ''
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elif tag == 'meta' and self._in_head:
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self._handle_meta_tag(attrs)
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elif self._in_body:
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self._data_buffer += self.build_tag(tag, attrs, False)
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def handle_endtag(self, tag):
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if tag == 'head':
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if self._in_head:
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self._in_head = False
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self._in_top_level = True
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elif tag == 'title':
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self._in_title = False
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self.metadata['title'] = self._data_buffer
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elif tag == 'body':
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self.body = self._data_buffer
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self._in_body = False
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self._in_top_level = True
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elif self._in_body:
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self._data_buffer += '</{}>'.format(escape(tag))
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def handle_startendtag(self, tag, attrs):
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if tag == 'meta' and self._in_head:
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self._handle_meta_tag(attrs)
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if self._in_body:
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self._data_buffer += self.build_tag(tag, attrs, True)
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def handle_comment(self, data):
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self._data_buffer += '<!--{}-->'.format(data)
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def handle_data(self, data):
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self._data_buffer += data
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def handle_entityref(self, data):
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self._data_buffer += '&{};'.format(data)
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def handle_charref(self, data):
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self._data_buffer += '&#{};'.format(data)
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def build_tag(self, tag, attrs, close_tag):
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result = '<{}'.format(escape(tag))
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for k, v in attrs:
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result += ' ' + escape(k)
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if v is not None:
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result += '="{}"'.format(escape(v))
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if close_tag:
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return result + ' />'
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return result + '>'
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def _handle_meta_tag(self, attrs):
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name = self._attr_value(attrs, 'name').lower()
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contents = self._attr_value(attrs, 'content', '')
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if not contents:
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contents = self._attr_value(attrs, 'contents', '')
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if contents:
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logger.warning("Meta tag attribute 'contents' used in file %s, should be changed to 'content'", self._filename)
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if name == 'keywords':
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name = 'tags'
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self.metadata[name] = contents
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@classmethod
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def _attr_value(cls, attrs, name, default=None):
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return next((x[1] for x in attrs if x[0] == name), default)
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def read(self, filename):
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"""Parse content and metadata of HTML files"""
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with pelican_open(filename) as content:
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parser = self._HTMLParser(self.settings, filename)
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parser.feed(content)
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parser.close()
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metadata = {}
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for k in parser.metadata:
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metadata[k] = self.process_metadata(k, parser.metadata[k])
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return parser.body, metadata
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class AsciiDocReader(Reader):
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enabled = bool(asciidoc)
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file_extensions = ['asc']
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default_options = ["--no-header-footer", "-a newline=\\n"]
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def read(self, source_path):
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"""Parse content and metadata of asciidoc files"""
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from cStringIO import StringIO
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with pelican_open(source_path) as source:
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text = StringIO(source)
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content = StringIO()
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ad = AsciiDocAPI()
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options = self.settings['ASCIIDOC_OPTIONS']
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if isinstance(options, (str, unicode)):
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options = [m.strip() for m in options.split(',')]
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options = self.default_options + options
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for o in options:
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ad.options(*o.split())
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ad.execute(text, content, backend="html4")
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content = content.getvalue()
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metadata = {}
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for name, value in ad.asciidoc.document.attributes.items():
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name = name.lower()
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metadata[name] = self.process_metadata(name, value)
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if 'doctitle' in metadata:
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metadata['title'] = metadata['doctitle']
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return content, metadata
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EXTENSIONS = {}
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for cls in [Reader] + Reader.__subclasses__():
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for ext in cls.file_extensions:
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EXTENSIONS[ext] = cls
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def read_file(base_path, path, content_class=Page, fmt=None,
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settings=None, context=None,
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preread_signal=None, preread_sender=None,
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context_signal=None, context_sender=None):
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"""Return a content object parsed with the given format."""
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path = os.path.abspath(os.path.join(base_path, path))
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source_path = os.path.relpath(path, base_path)
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base, ext = os.path.splitext(os.path.basename(path))
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logger.debug('read file {} -> {}'.format(
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source_path, content_class.__name__))
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if not fmt:
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fmt = ext[1:]
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if fmt not in EXTENSIONS:
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raise TypeError('Pelican does not know how to parse {}'.format(path))
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if preread_signal:
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logger.debug('signal {}.send({})'.format(
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preread_signal, preread_sender))
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preread_signal.send(preread_sender)
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if settings is None:
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settings = {}
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reader_class = EXTENSIONS[fmt]
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if not reader_class.enabled:
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raise ValueError('Missing dependencies for {}'.format(fmt))
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reader = reader_class(settings)
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settings_key = '%s_EXTENSIONS' % fmt.upper()
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if settings and settings_key in settings:
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reader.extensions = settings[settings_key]
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metadata = default_metadata(
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settings=settings, process=reader.process_metadata)
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metadata.update(path_metadata(
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full_path=path, source_path=source_path, settings=settings))
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metadata.update(parse_path_metadata(
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source_path=source_path, settings=settings,
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process=reader.process_metadata))
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content, reader_metadata = reader.read(path)
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metadata.update(reader_metadata)
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# eventually filter the content with typogrify if asked so
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if content and settings and settings['TYPOGRIFY']:
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from typogrify.filters import typogrify
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content = typogrify(content)
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metadata['title'] = typogrify(metadata['title'])
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if context_signal:
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logger.debug('signal {}.send({}, <metadata>)'.format(
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context_signal, context_sender))
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context_signal.send(context_sender, metadata=metadata)
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return content_class(
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content=content,
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metadata=metadata,
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settings=settings,
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source_path=path,
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context=context)
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def default_metadata(settings=None, process=None):
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metadata = {}
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if settings:
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if 'DEFAULT_CATEGORY' in settings:
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value = settings['DEFAULT_CATEGORY']
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if process:
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value = process('category', value)
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metadata['category'] = value
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if 'DEFAULT_DATE' in settings and settings['DEFAULT_DATE'] != 'fs':
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metadata['date'] = datetime.datetime(*settings['DEFAULT_DATE'])
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return metadata
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def path_metadata(full_path, source_path, settings=None):
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metadata = {}
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if settings:
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if settings.get('DEFAULT_DATE', None) == 'fs':
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metadata['date'] = datetime.datetime.fromtimestamp(
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os.stat(full_path).st_ctime)
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metadata.update(settings.get('EXTRA_PATH_METADATA', {}).get(
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source_path, {}))
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return metadata
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def parse_path_metadata(source_path, settings=None, process=None):
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"""Extract a metadata dictionary from a file's path
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>>> import pprint
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>>> settings = {
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... 'FILENAME_METADATA': '(?P<slug>[^.]*).*',
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... 'PATH_METADATA':
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... '(?P<category>[^/]*)/(?P<date>\d{4}-\d{2}-\d{2})/.*',
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... }
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>>> reader = Reader(settings=settings)
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>>> metadata = parse_path_metadata(
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... source_path='my-cat/2013-01-01/my-slug.html',
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... settings=settings,
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... process=reader.process_metadata)
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>>> pprint.pprint(metadata) # doctest: +ELLIPSIS
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{'category': <pelican.urlwrappers.Category object at ...>,
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'date': datetime.datetime(2013, 1, 1, 0, 0),
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'slug': 'my-slug'}
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"""
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metadata = {}
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dirname, basename = os.path.split(source_path)
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base, ext = os.path.splitext(basename)
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subdir = os.path.basename(dirname)
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if settings:
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checks = []
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for key,data in [('FILENAME_METADATA', base),
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('PATH_METADATA', source_path),
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]:
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checks.append((settings.get(key, None), data))
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if settings.get('USE_FOLDER_AS_CATEGORY', None):
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checks.insert(0, ('(?P<category>.*)', subdir))
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for regexp,data in checks:
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if regexp and data:
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match = re.match(regexp, data)
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if match:
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# .items() for py3k compat.
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for k, v in match.groupdict().items():
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if k not in metadata:
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k = k.lower() # metadata must be lowercase
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if process:
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v = process(k, v)
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metadata[k] = v
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return metadata
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