For boop.mp3, this commit adds both ID3v1 and ID3v2 tags. For boop.ogg,
we use Vorbis metadata.
In the case of boop.mp3, this also adds a cover image. Interestingly, it
didn't seem to affect the size of boop.mp3 much, despite being ~8k.
boop.ogg seemed to be much more affected and so no cover image was added
to that version.
We have changed how we store reblogs in the redis for bigint IDs. This process is done by 1) scan all entries in users feed, and 2) re-store reblogs by 3 write commands.
However, this operation is really slow for large instances. e.g. 1hrs on friends.nico (w/ 50k users). So I have tried below tweaks.
* It checked non-reblogs by `entry[0] == entry[1]`, but this condition won't work because `entry[0]` is String while `entry[1]` is Float. Changing `entry[0].to_i == entry[1]` seems work.
-> about 4-20x faster (feed with less reblogs will be faster)
* Write operations can be batched by pipeline
-> about 6x faster
* Wrap operation by Lua script and execute by EVALSHA command. This really reduces packets between Ruby and Redis.
-> about 3x faster
I've taken Lua script way, though doing other optimizations may be enough.
* Swedish file added
* Swedish file added
* Swedish file updated
* Swedish languagefile added
* Add Swedish translation
* Add Swedish translation
* Started the Swedish translation
* Added Swedish lang settings
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Swedish language completed and added
* Swedish language Simple_form added
* Swedish language Divise added
* Swedish language doorkeeper added
* Swedish language - now all file complete
* Swedish - Typos and supplementation in sentence structure
* Update simple_form.sv.yml
* Update sv.yml
* Update sv.yml
Rearranged the alphabetical order.
Specifically, this fixes status length calculation to be same as JS side.
BTW, since this pattern used in not only preview card fetching, we
should extract it (with twitter-regex?) and write tests I think.
* Clean up reblog-tracking sets from FeedManager
Builds on #5419, with a few minor optimizations and cleanup of sets
after they are no longer needed.
* Update tests, fix multiply-reblogged case
Previously, we would have lost the fact that a given status was
reblogged if the displayed reblog of it was removed, now we don't.
Also added tests to make sure FeedManager#trim cleans up our reblog
tracking keys, fixed up FeedCleanupScheduler to use the right loop,
and fixed the test for it.
* Swedish file added
* Swedish file added
* Swedish file updated
* Swedish languagefile added
* Add Swedish translation
* Add Swedish translation
* Started the Swedish translation
* Added Swedish lang settings
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Updating Swedish language
* Swedish language completed and added
* Swedish language Simple_form added
* Swedish language Divise added
* Swedish language doorkeeper added
* Swedish language - now all file complete
* Keep references to all reblogs of a status on home feed
When inserting reblog: Add to set of reblogs of this status on
the feed, if original status was present in the feed, add it to
that set as well.
When removing a reblog: Remove it from that set. Take random
remaining item from the set. If one exists, re-insert it into feed,
otherwise do not re-insert anything.
Fix#4210
* When original is removed, toss out reblog references
Fix#5398
Ordering the home timeline query by account_id meant that the first
100 items belonged to a single account. There was also no reason to
reverse-iterate over the statuses. Assuming the user accesses the
feed halfway-through, it's better to have recent statuses already
available at the top. Therefore working from newer->older is ideal.
If the algorithm ends up filtering all items out during last-mile
filtering, repeat again a page further. The algorithm terminates
when either at least one item has been added, or if the database
query returns nothing (end of data reached)
