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