Module: blog¶
This module reads all the json files from a prior fetch as well as the alt-text files for the wordcloud and the graph. Then it formats them into a markdown file suitable for running through hugo. The results are then manually copied to a hugo web site.
This can only succeed if: 1. fetch has run successfully 2. analyse has run successfully 3. graphs has run successfully to generate graphs and text
Because writing the fetch statistics to a JSON file was added later, most of my data doesn't have that information. Only since October 2025 have I tracked the fetch statistics. So if the fetch data doesn't exist, the blog module will complain but it continues.
Two galleries run this way: * The Monsterdon Archives. (source code here). * The KungFu Saturday Archives. (source code here).
Code Reference¶
Module for writing out a Hugo-compatible blog post in Markdown. Reads two JSON dumps, one written by fetch and one written by analyse. Then it writes out the blog post. Since writing out the fetch JSON was only created in October 2025, the code handles the possibility of it not existing.
blog(config, copy_files=True, additional_tags=None)
¶
Do what it takes to find the results, convert them to markdown, then write it out in Hugo-compatible Markdown. Hugo compatibility means putting some extra TOML variables at the item. It's not just raw markdown.
Source code in mastoscore/blog.py
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create_blog_text(config, analysis, additional_tags=None)
¶
Write out the Markdown for the blog post with all the analysis.
Source code in mastoscore/blog.py
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