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- # -*- coding: utf-8 -*-
- from __future__ import unicode_literals, print_function
- from pelican import signals
- from pelican.readers import BaseReader
- from pelican.utils import pelican_open
- try:
- from textile import textile
- except ImportError:
- textile = False
- class TextileReader(BaseReader):
- """Reader for Textile files. Written using the core MarkdownReader as
- a template. Textile input files must be of the form:
- Title: An example
- Date: 2013-08-10
- ----
- p. Lorem ipsum dolar sit amet...
- Specifically, the header values as with Markdown files, then four
- dashes, then the body.
- """
- enabled = bool(textile)
- file_extensions = ['textile']
- def __init__(self, *args, **kwargs):
- super(TextileReader, self).__init__(*args, **kwargs)
- def _parse_metadata(self, meta):
- """Process the metadata dict, lowercasing the keys and textilizing the
- value of the 'summary' key (if present). Keys that share the same
- lowercased form will be overridden in some arbitrary order.
- """
- output = {}
- for name, value in meta.items():
- name = name.lower()
- if name == "summary":
- value = textile(value)
- output[name] = self.process_metadata(name, value)
- return output
- def read(self, source_path):
- """Parse content and metadata of textile files."""
- with pelican_open(source_path) as text:
- parts = text.split('----', 1)
- if len(parts) == 2:
- headerlines = parts[0].splitlines()
- headerpairs = map(lambda l: l.split(':', 1), headerlines)
- headerdict = {pair[0]: pair[1].strip()
- for pair in headerpairs
- if len(pair) == 2}
- metadata = self._parse_metadata(headerdict)
- content = textile(parts[1])
- else:
- metadata = {}
- content = textile(text)
- return content, metadata
- def add_reader(readers):
- readers.reader_classes['textile'] = TextileReader
- def register():
- signals.readers_init.connect(add_reader)
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