nandac
commented
3 years ago @reagle I do not know of any ready-made utility that converts Pelican metadata to YAML. However, let us say you have a file called test.md with the following contents:
Title: My super title
Date: 2010-12-03 10:20
Modified: 2010-12-05 19:30
Category: Python
Tags: pelican, publishing
Slug: my-super-post
Authors: Alexis Metaireau, Conan Doyle
Summary: Short version for index and feeds
My first sentence.You could use the script below to modify the frontmatter into the format expected by Pandoc.
#!/usr/bin/env python3
import re
PATTERN = "^.*?:\s*?.*$"
def main():
lines = []
with open("test.md", "r") as file_handle:
lines = file_handle.readlines()
index = 0
new_lines = []
for index, line in enumerate(lines):
if re.match(PATTERN, line):
line.replace(line, line[0].lower() + line[1:])
new_lines.append(line)
else:
break
new_lines.insert(0, "---\n")
new_lines.insert(index + 1, "---\n")
new_lines.extend(lines[index:])
with open("test2.md", "w") as file_handle:
for line in new_lines:
file_handle.write(line)
if __name__ == '__main__':
main()This writes the following to a file called test2.md the following lines:
---
title: My super title
date: 2010-12-03 10:20
modified: 2010-12-05 19:30
category: Python
tags: pelican, publishing
slug: my-super-post
authors: Alexis Metaireau, Conan Doyle
summary: Short version for index and feeds
---
My first sentence.The script above is not the most efficient or robust but it gets the job done. You will have to modify it slightly to fit your environment.
We are in the process of releasing a new version of the plugin which may solve your speed issues.
If you would like to try out the code before we release it, you may download the directory pelican/plugins/pandoc-reader and place it in your plugins directory. You will also need the following dependencies installed locally:
Of course, you will also need Pandoc 2.11 or higher installed.
Hope that helps.
reagle
kdeldycke
justinmayer
avaris
Hi, I believe I've experimented with this plugin the past, but I see it's configuration commented out with the annotation that it was too slow -- over 10 minutes.
Trying the version in PyPi it took 77 seconds across my ~300 files. However, this was skipping each one because the metadata isn't correct.
I'd like to give this an honest go, before that: