# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 4
# self = https://watcher.sour.is/conv/pyscdeq
Thanks, @movq!
My backing SQLite database with indices is 8.7 MiB in size right now.
The twtxt cache is 7.6 MiB, it uses Python's pickle module. And next to it there is a 16.0 MiB second database with all the read statuses for the old tt. Wow, super inefficient, it shouldn't contain anything else, it's a giant, pickled {"$hash": {"read": True/False}, …}. What the heck, why is it so big?! O_o
There are 82.108 read statuses, but only 24.421 messages in the cache. In contrast to the cache with the messages, the read statuses are never cleaned up when a feed was unsubscribed from. And the read statuses also contain old style hashes, before we settled on the what we have today. Still a huge difference. Hmm.
@lyse for a brief moment I was confused, and puzzled, on how were you able to count read statuses, and messages on cache, with such high precision. Then I remembered you are using German numerical notation. LOL.
@david Ah shit, sorry, you're right! :-D