Fix usernames not being highlighted when completing @mentions.
This also changes it so the autocomplete results don't include the '@'
in front of the name.
Minor breaking change to the /autocomplete.json API. Autocomplete
results for mentions now have the type `mention` instead of `user`.
Fix /autocomplete.json returning results like this:
[
{
"table": {
"type": "tag-word",
"label": "long hair",
"value": "long_hair",
"category": 0,
"post_count": 2818211,
"antecedent": null
}
},
]
instead of like this:
[
{
"type": "tag-word",
"label": "long hair",
"value": "long_hair",
"category": 0,
"post_count": 2818211,
},
]
Also change it so that optional attributes like `antecedent` aren't
returned if they're null. This could be a minor breaking change if users
rely on these attributes always being present.
Lastly change XML results to look like this:
<autocomplete-service-results type="array">
<autocomplete-service-result>
<type>tag-word</type>
<label>long hair</label>
<value>long_hair</value>
<category type="integer">0</category>
<post-count type="integer">2801117</post-count>
</autocomplete-service-result>
</autocomplete-service-results>
instead of like this:
<objects type="array">
<object>
<type>tag</type>
<label>hair ornament</label>
<value>hair_ornament</value>
<category type="integer">0</category>
<post-count type="integer">883340</post-count>
<antecedent nil="true"/>
</object>
</objects>
Fix a bug where the word `lazy` wasn't highlighted in `don't_say_"lazy"`
when searching for `lazy`. The bug was that punctuation surrounding
words wasn't properly split from the word.
When completing a static metatag, such as rating: or order:,
don't include the metatag name in the autocomplete menu.
For example, when completing `rating:g`, show `general` in the
autocomplete menu, not `rating:general`.
This makes static metatags consistent with other metatags.
Remove the `data-autocomplete-antecedent`, `data-autocomplete-category`,
and `data-autocomplete-post-count` data attributes from the autocomplete
menu. These weren't used by Danbooru itself and they bloat the HTML.
Limit the width of the autocomplete menu to 480px. This is so that
stupidly long isekai titles don't blow out the size of the menu when
searching for common words.
For example, when searching for "look", one of the results is:
no_matter_how_you_look_at_it_it's_your_fault_that_i'm_not_popular! -> watashi_ga_motenai_no_wa_dou_kangaetemo_omaera_ga_warui!
The new autocomplete system tends to return more results, so increase
the number of tags shown from 10 to 20. This is useful so you can do things
like search for 'skirt' during tagging to find all skirt-related tags.
Highlight the matching part of the tag in the autocomplete menu. For
example, if you search "hair", then the word "hair" will be bolded in
every matching tag. This is so users can tell why a particular tag was
matched.
Switch autocomplete to match individual words in the tag, instead of
only matching the start of the tag.
For example, "hair" matches any tag containing the word "hair", not just tags
starting with "hair". "long_hair" matches all tags containing the words "long"
and "hair", which includes "very_long_hair" and "absurdly_long_hair".
Words can be in any order and words can be left out. So "closed_eye" matches
"one_eye_closed". "asuka_langley_souryuu" matches "souryuu_asuka_langley".
This has several advantages:
* You can search characters by first name. For example, "miku" matches "hatsune_miku".
"zelda" matches both "princess_zelda" and "the_legend_of_zelda".
* You can find the right tag even if you get the word order wrong, or forget a word.
For example, "eyes_closed" matches "closed_eyes". "hair_over_eye" matches "hair_over_one_eye".
* You can find more related tags. For example, searching "skirt" shows all tags
containing the word "skirt", not just tags starting with "skirt".
The downside is this may break muscle memory by changing the autocomplete order of
some tags. This is an acceptable trade-off.
You can get the old behavior by writing a "*" at the end of the tag. For
example, searching "skirt*" gives the same results as before.
Add a `words` column to the tags table. This will be used for parsing
tags into words for word-based matching in autocomplete.
For example, "very_long_hair" can be parsed into ["very", "long", "hair"].
The `array_to_tsvector(words)` index is for performing wildcard
searches. It lets us do e.g
SELECT * FROM tags WHERE array_to_tsvector(words) @@ 'hand:* & hold:*'
to find tags containing the words "hand*" and "hold*".
Render the HTML for autocomplete results server-side instead of in
Javascript. This is cleaner than building HTML in Javascript, but it may
hurt caching because the HTTP responses are larger.
Fixes#4698: user autocomplete contains links to /posts
Also fixes a bug where tag counts in the autocomplete menu were different
from tag counts displayed elsewhere because of differences in rounding.
Previously if you typed e.g. "/tr" in autocomplete we would first check
if "/tr" was aliased to another tag before expanding out the abbreviation.
This was for compatibility with legacy shortcut aliases. These aliases
have been removed so this is dead code now.
Show the search navbar when searching for `pool:1234 tag`. Before the
search navbar would always be hidden if the search contained a pool:
metatag, even if it was a multi-tag search.
Fix the pool name not being bolded in the pool navbar when doing a
pool:<name> search. Previously the selected pool was only bolded when
doing a pool:<id> search.
Also change the /autocomplete.json API to no longer strip '-' and '~'
from the start of the tag. This may be a breaking change if third-party
scripts relied on this behavior.
This was an obsolete URL format briefly used by Pixiv around 2019-2020.
There were only ~80 posts with sources using this format. They have been
manually fixed.
Bug: When uploading a direct Pixiv image URL, we ignored it in favor of the
image URL returned by the Pixiv API. This meant if you tried to upload the
original version of a revised image, we would get the revised version instead.
Fix: When given a direct Pixiv image URL, use it as-is if it's a full
image URL. If it's a sample image URL, ignore it in favor of the full image
URL as returned by the API, unless the post is deleted and the API data
is unavailable.
Allow logged out users to call https://danbooru.donmai.us/profile.json.
This allows getting information on default settings and limits for
anonymous users.
May be a breaking API change if users were using the HTTP response code
from /profile.json to check if they were successfully logged in.
Foundation changed their HTML page format and we can no longer scrape
the image URL directly from the page. Instead we have to build it based
on API data.
Add ability to search your unposted uploads using AI tags. Like with
media assets, only basic tags are supported (no metatags) and complex
multi-tag searches will probably be slow.
The default AI tag confidence threshold is 50%. There's a hidden
search[min_score] URL param that lets you change this.
Add ability to search the /media_assets index by AI tags. Multi-tag
searches are supported, including AND/OR/NOT operators, but metatags
aren't supported. Multi-tag searches will probably be slow.
The default AI tag confidence threshold is 50%. There's a hidden
search[min_score] URL param that lets you change this.
* Fix the suggested tags list in the related tags box not showing rating tags.
* Fix the suggested tags list showing tags that have been aliased to another tag.
Add a Suggested tags list to the Related Tags box. The suggested tags
are just the AI tags for the post.
Suggested tags are currently hidden in CSS for beta testing. Use custom
CSS to unhide them.
Exclude the posts, post_votes, favorites, media_assets, and ai_tags
tables from the BigQuery dumps. These usually take too long to complete
and also consume huge amounts of memory in the background workers.
Allow searching for e.g. `ai:monochrome,0%` to find posts where the AI has 0% confidence
the post should be tagged monochrome.
This is useful for finding mistagged posts. You can search `monochrome ai:monochrome,0%`
to find posts that are potentially mistagged as monochrome, that is, posts that are
tagged monochrome but where the AI has 0% confidence that it should be tagged monochrome.
Not all cases will be mistags. The majority will be cases where the AI failed to identify
the tag. This is also useful for studying the AI's failures.
Index on (tag_id, score) instead of (tag_id) to allow tags to be
filtered and sorted by confidence more efficiently. This index takes up
about the same amount of space as an index on tag_id alone, so including
the score in the index is essentially free.
Change the /ai_tags page to show only posts by default, not both posts
and unposted media assets mixed together. Showing media assets tended to
confuse users about why they couldn't add tags to these images. It also
distracted from the page's primary use case, which is gardening posts.
Add a hidden option for 540px size thumbnails. This option currently
isn't listed in the thumbnail size menu, but it can be enabled with an
URL param: https://danbooru.donmai.us/posts?size=540.
Fix a bug where `Post#has_tag?` would return false for tags that
contained colons. This caused the /ai_tags page to incorrectly say
certain tags weren't present on the post.
Add "Add" and "Remove" buttons beneath thumbnails on the /ai_tags page.
These let you add the tag to the post if it's correct, or remove it if
it's wrong.
Add option for "Absurd" (720px) size thumbnails to the thumbnail size
menu. 720px size thumbnails require .webp support so they won't work in
older browsers.
Allow searching for e.g. `ai:solo,>=90%` to to find posts that have the
solo tag with >=90% confidence. The default confidence level is 50%. The
delimiter is a comma because it's one of the few characters not allowed
in tag names.
Enabled filtering by posted media assets on the /ai_tags page. This was
disabled in development because it was too slow, but seems to be fine in
production.
Add a database model for storing AI-predicted tags, and add a UI for browsing and searching these tags.
AI tags are generated by the Danbooru Autotagger (https://github.com/danbooru/autotagger). See that
repo for details about the model.
The database schema is `ai_tags (media_asset_id integer, tag_id integer, score smallint)`. This is
designed to be as space-efficient as possible, since in production we have over 300 million
AI-generated tags (6 million images and 50 tags per post). This amounts to over 10GB in size, plus
indexes.
You can search for AI tags using e.g. `ai:scenery`. You can do `ai:scenery -scenery` to find posts
where the scenery tag is potentially missing, or `scenery -ai:scenery` to find posts that are
potentially mistagged (or more likely where the AI missed the tag).
You can browse AI tags at https://danbooru.donmai.us/ai_tags. On this page you can filter by
confidence level. You can also search unposted media assets by AI tag.
To generate tags, use the `autotag` script from the Autotagger repo, something like this:
docker run --rm -v ~/danbooru/public/data/360x360:/images ghcr.io/danbooru/autotagger ./autotag -c -f /images | gzip > tags.csv.gz
To import tags, use the fix script in script/fixes/. Expect a Danbooru-size dataset to take
hours to days to generate tags, then 20-30 minutes to import. Currently this all has to be done by hand.
This is so admins can overrule flags and always have the final say in whether a
post is approved, even in the event of coordinated or sockpuppet flagging.
Fixes#4980: Way to mark flags as invalid for admins
The following metatags no longer count against the tag search limit:
* is
* id
* date
* age
* filesize
* filetype
* parent
* child
* md5
* width
* height
* duration
* mpixels
* ratio
* score
* upvotes
* downvotes
* favcount
* embedded
* tagcount
* pixiv_id
* pixiv
These are mostly metatags that have to do with properties of the post
itself. Other metatags still count because they involve things like
subqueries or joins, or they're more tag-like in function.
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