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Usable, albeit slightly hackish, solution for YAML metadata.

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This commit is contained in:
Chris Krycho 2016-08-04 22:52:50 -04:00
parent e078420af2
commit 0afed4a026
1 changed files with 9 additions and 7 deletions
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16
pandoc_reader.py
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@ -1,3 +1,4 @@
import logging
import subprocess
from pelican import signals
@ -8,6 +9,7 @@ try:
import yaml
except ImportError:
yaml = None
logging.warning("YAML is not installed; the YAML reader will not work.")
class PandocReader(BaseReader):
@ -21,25 +23,25 @@ class PandocReader(BaseReader):
if use_YAML:
# Load the data we need to parse
to_parse = []
text = text[1:]
for i, line in enumerate(text):
for i, line in enumerate(text[1:]):
# When we find a terminator (`---` or `...`), stop.
if line == '---' or line == '...':
if line in ('---', '...'):
# Do not include the terminator itself.
content = "\n".join(text[i+1:])
break
# Otherwise, just keep adding the lines to the parseable.
to_parse.append(line)
to_parse = "\n".join(to_parse)
parsed = yaml.load(to_parse)
parsed = yaml.load("\n".join(to_parse))
# Postprocess to make the data usable by Pelican.
for k in parsed:
name, value = k.lower(), str(parsed[k]).strip()
name, value = k.lower(), parsed[k]
metadata[name] = self.process_metadata(name, value)
# Return the text entirely.
content = "\n".join(text)
else:
for i, line in enumerate(text):
kv = line.split(':', 1)