Write a Memacs module for Podcast Addict (an Android podcatcher)

[novoid]

I've analyzed the approach of using a backup file to generate an Org-mode file that contains all listened Podcast Addict episodes with their finishing time-stamp.

PodcastAddict_autoBackup_20241102_210006.backup is a ZIP file with two files:

1. com.bambuna.podcastaddict_preferences.xml the app settings
2. podcastAddict.db: a SQLite 3.x database

The DB file itself contains all the necessary data in two of the many tables:

table "podcasts" has at least entries for:

• "name" (string): name of the podcast
  • example: "Methodisch inkorrekt!"
• "_id" (integer): ID of the podcast
  • example: "17098"
• "homepage" (string): optional homepage of the podcast
  • example: "http://www.minkorrekt.de"

table "episodes" has at least entries for:

• "podcast_id" (integer) which maps to "_id" from table "podcasts"
  • example: "17098"
• "playbackDate" (integer): UNIX epoch in miliseconds
  • example: "1718225660587" (stands for: 2024-06-12 20:54:20.587000)
• "name" (string): title of the episode
  • example: "Mi319 – "Bildungswesen""
• "content" (HTML string): shownotes and description (multi-line!)
  • example:

    ... direkt aus der Literatur der Wissenschaft.
    <!-- wp:paragraph -->
    <p><strong>Inhalt</strong><br><a href="podcastaddict:0">00:00:00</a>  Intro<br><a href="podcastaddict:195000">00:03:15</a>  Begrüßung<br><a href="podcastaddict:649000">00:10:49</a>  Abgelehntes Paper</p>
    <!-- /wp:paragraph -->
    <!-- wp:paragraph -->
    <p><strong>Reini ist wieder da</strong> – die Buddys sind wieder vereint! </p>
    <!-- /wp:paragraph -->
[...]

• "url" (string) → url of episode!
  • example: "https://minkorrekt.de/mi319-bildungswesen/"
• "duration" (string): duration in the format of: HH:MM:SS
  • example: "02:10:20"
• "seasonNB" (integer): optional number of the season
  • example: 42
• "episodeNB" (integer): optional episode within the season
  • example: 319
• "transcript_url (JSON string): URL of the transcript
  • example: "{"urls":[{"type":"srt","url":"https://feeds.buzzsprout.com/1924539/9974188/transcript.srt"},{"type":"json","url":"https://feeds.buzzsprout.com/1924539/9974188/transcript.json"},{"type":"html","url":"https://feeds.buzzsprout.com/1924539/9974188/transcript"}]}"

That can be transformed in headings like:

** <2024-06-12 Wed 20:54> [[https://minkorrekt.de/mi319-bildungswesen/][Mi319 – "Bildungswesen"]] ([[http://www.minkorrekt.de][Methodisch inkorrekt!]] S42E319)

- [[https://feeds.buzzsprout.com/1924539/9974188/transcript.srt][Transcript]]

Description:

... direkt aus der Literatur der Wissenschaft.

*Inhalt*
00:00:00  Intro
00:03:15  Begrüßung
00:10:49  Abgelehntes Paper
[...]

You can use the example module that parses arbitrary CSV files: https://github.com/novoid/Memacs/blob/master/memacs/csv.py This should give you a quick overview how to use the framework in order to write the output without having to format too much on your own.

This should be doable within a couple of hours of work even if this is your first Memacs module.