Optimize autocomplete to ignore various types of bogus input that will
never match anything. It turns out it's not uncommon for people to do
things like paste random URLs into autocomplete, or hold down keys, or
enter long strings of gibberish text (sometimes in other languages).
Some things, like autocorrect and slash abbreviations, become
pathologically slow when fed certain types of bad input.
Autocomplete will abort and return nothing in the following situations:
* Searching for URLs (tags that start with http:// or https://).
* Overly long tags (strings longer than the 170 char tag name limit).
* Slash abbreviations longer than 10 chars (e.g. typing `/qwoijqoiqogirqewgoi`).
* Slash abbreviations that aren't alphanumeric (e.g. typing `/////////`).
* Autocorrect input that contains too much punctuation and not enough actual letters.
Fix `normalize_whitespace` to not strip zero-width joiner characters
(U+200D). These characters are used in emoji and stripping them breaks
some artist other names that use emoji.
Fix the `normalize` and `array_attribute` macros conflicting with each
other on the WikiPage model. This meant code like
`wiki_page.other_names = "foo bar"` didn't work. Both macros defined a
`other_names=` method, but one method overrode the other.
The fix is to use anonymous modules and prepend so we can chain method
calls with super.
Fix wiki pages and artists to normalize other names more consistently
and correctly.
For wiki pages, we strip leading / trailing / repeated underscores to
fix user typos, and we normalize to NFKC form to make search more consistent.
For artists, we allow leading / trailing / repeated underscores because
some artist names have these, and we normalize to NFC form because some
artists have weird names that would be lost by NFKC form. This does make
search less consistent.
Fix saved searches to remove additional invalid characters from labels:
* Remove repeated spaces or underscores.
* Remove leading and trailing spaces or underscores.
* Normalize Unicode characters to NFC form.
Also add a fix script to renormalize labels in old saved searches. A few
problems with existing searches:
* Some saved searches somehow had labels containing NULL elements.
* Some had leading or trailing underscores.
* Some had repeated underscores.
* Some had non-English characters in uppercase.
Add a custom Shoulda matcher for testing that a model correctly normalizes an attribute.
Usage:
subject { build(:wiki_page) }
should normalize_attribute(:title).from(" Azur Lane ").to("azur_lane")
Add tracking of certain important user actions. These events include:
* Logins
* Logouts
* Failed login attempts
* Account creations
* Account deletions
* Password reset requests
* Password changes
* Email address changes
This is similar to the mod actions log, except for account activity
related to a single user.
The information tracked includes the user, the event type (login,
logout, etc), the timestamp, the user's IP address, IP geolocation
information, the user's browser user agent, and the user's session ID
from their session cookie. This information is visible to mods only.
This is done with three models. The UserEvent model tracks the event
type (login, logout, password change, etc) and the user. The UserEvent
is tied to a UserSession, which contains the user's IP address and
browser metadata. Finally, the IpGeolocation model contains the
geolocation information for IPs, including the city, country, ISP, and
whether the IP is a proxy.
This tracking will be used for a few purposes:
* Letting users view their account history, to detect things like logins
from unrecognized IPs, failed logins attempts, password changes, etc.
* Rate limiting failed login attempts.
* Detecting sockpuppet accounts using their login history.
* Detecting unauthorized account sharing.
Refactor fav:<name> and ordfav:<name> searches to use the favorites
table instead of the posts.fav_string.
This may be slower for fav:<name> searches. The fav_string effectively
treats favorites like secret tags on the post, so fav:<name> searches
were effectively the same as tag searches. Now they do a subquery on the
favorites table, which may not perform as well for things like multiple
fav:<name> metatags or negated fav:<name> metatags.
For ordfav:<name> searches, this may be faster. ordfav: searches had a
tag match clause (`tag_index @@ 'fav:123'`) in addition to a join on the
favs table. This was redundant, and in some cases it inhibited the query
planner from choosing a more optimal plan.
Partially addresses #4652 by eliminating another place where we depended
on the fav_string.
Add the following bank redirect payment methods:
* https://stripe.com/docs/payments/bancontact
* https://stripe.com/docs/payments/eps
* https://stripe.com/docs/payments/giropay
* https://stripe.com/docs/payments/ideal
* https://stripe.com/docs/payments/p24
These methods are used in Austria, Belgium, Germany, the Netherlands,
and Poland.
These methods require payments to be denominated in EUR, which means we
have to set prices in both USD and EUR, and we have to automatically
detect which currency to use based on the user's country. We also have
to automatically detect which payment methods to offer based on the
user's country. We do this by using Cloudflare's CF-IPCountry header to
geolocate the user's country.
This also switches to using prices and products defined in Stripe
instead of generated on-the-fly when creating the checkout.
Add links to the Stripe payment page and the Stripe receipt page on
completed user upgrades.
The Stripe payment link is a link to the payment details on the Stripe
dashboard and is only visible to the owner.
Tag.category_for looked up a tag's category in the Redis cache. This was
only used in a few places (in related tags, and on the popular/missed
search pages). Get rid of this method so we can work towards getting rid
of caching tag categories in Redis.
Add a model to store the status of user upgrades.
* Store the upgrade purchaser and the upgrade receiver (these are
different for a gifted upgrade, the same for a self upgrade).
* Store the upgrade type: gold, platinum, or gold-to-platinum upgrades.
* Store the upgrade status:
** pending: User is still on the Stripe checkout page, no payment
received yet.
** processing: User has completed checkout, but the checkout status in
Stripe is still 'unpaid'.
** complete: We've received notification from Stripe that the payment
has gone through and the user has been upgraded.
* Store the Stripe checkout ID, to cross-reference the upgrade record on
Danbooru with the checkout record on Stripe.
This is the upgrade flow:
* When the user clicks the upgrade button on the upgrade page, we call
POST /user_upgrades and create a pending UserUpgrade.
* We redirect the user to the checkout page on Stripe.
* When the user completes checkout on Stripe, Stripe sends us a webhook
notification at POST /webhooks/receive.
* When we receive the webhook, we check the payment status, and if it's
paid we mark the UserUpgrade as complete and upgrade the user.
* After Stripe sees that we have successfully processed the webhook,
they redirect the user to the /user_upgrades/:id page, where we show
the user their upgrade receipt.
This upgrades from the legacy version of Stripe's checkout system to the
new version:
> The legacy version of Checkout presented customers with a modal dialog
> that collected card information, and returned a token or a source to
> your website. In contrast, the new version of Checkout is a smart
> payment page hosted by Stripe that creates payments or subscriptions. It
> supports Apple Pay, Dynamic 3D Secure, and many other features.
Basic overview of the new system:
* We send the user to a checkout page on Stripe.
* Stripe collects payment and sends us a webhook notification when the
order is complete.
* We receive the webhook notification and upgrade the user.
Docs:
* https://stripe.com/docs/payments/checkout
* https://stripe.com/docs/payments/checkout/migration#client-products
* https://stripe.com/docs/payments/handling-payment-events
* https://stripe.com/docs/payments/checkout/fulfill-orders
* Introduce an abstraction for normalizing attributes. Very loosely
modeled after https://github.com/fnando/normalize_attributes.
* Normalize wiki bodies to Unicode NFC form.
* Normalize Unicode space characters in wiki bodies (strip zero width
spaces, normalize line endings to CRLF, normalize Unicode spaces to
ASCII spaces).
* Trim spaces from the start and end of wiki page bodies. This may cause
wiki page diffs to show spaces being removed even when the user didn't
explicitly remove the spaces themselves.
Don't allow wiki pages to have invalid names.
This incidentally means that you can't create wiki pages for pools. For
example, you can't create a wiki titled "pool:almost_heart-warming".
This is not a valid tag name, so it's not a valid wiki name either. This
was done in a handful of cases to translate Pixiv tags to Danbooru pools
(see: <https://danbooru.donmai.us/wiki_page_versions?search[title_like]=pool:*>)
Also fix it so that titles are normalized before validation, not before save.
Rename the following post replacement attributes:
* file_size_was -> old_file_size
* file_ext_was -> old_file_ext
* image_width_was -> old_image_width
* image_height_was -> old_image_height
* md5_was -> old_md5
In Rails 6.1, having attributes named `file_size` and `file_size_was` on
the same model breaks things because it conflicts with Rails' dirty
attribute tracking.
Expand the tag abbreviation system introduced in b0be8ae45 so that it
works in searches and when tagging posts, not just in autocomplete.
For example, you can tag a post with /evth and it will add the tag
eyebrows_visible_through_hair. You can search for /evth and it will
search for the tag eyebrows_visible_through_hair.
Some more examples:
* /ops is short for one-piece_swimsuit
* /hooe is short for hair_over_one_eye
* /saol is short for standing_on_one_leg
* /tlozbotw is short for the_legend_of_zelda:_breath_of_the_wild
If two tags have the same abbreviation, then the larger tag takes
precedence. For example, /be is short for blue_eyes, not brown_eyes,
because blue_eyes is the bigger tag.
If there is an existing shortcut alias that conflicts with the
abbreviation, then the alias take precedence. For example, /sh is short
for suzumiya_haruhi, not short_hair, because there's an old alias for
/sh -> suzumiya_haruhi.
Limit tag length to 170 chars. 170 chars was chosen because it's
longer than the longest active tag on Danbooru.
Tag length is limited because in some contexts we can't deal with
excessively long tags. Tag autocorrect for example uses the levenshtein
function in Postgres, which can't handle strings more than 255 chars long.
Disallow tags from starting with a '/' character. This is so that tag
abbreviations in autocomplete, which start with a '/', don't conflict
with regular tags.
Also disallow some other punctuation characters: `%{})]. Currently no
tags start with these characters. This is to reserve other special
characters in case we need them for other future syntax extensions.
Fix an exception that could occur when typing "/" by itself in
autocomplete and a regular tag starting with "/" was returned. This
caused an exception in `r[:antecedent].length` because the tag's
antecedent was nil.
Allowing typing Japanese tags in autocomplete. For example, typing 東方
in autocomplete will be completed to the touhou tag. Typing ぶくぶ will
complete to the bkub tag.
This works using wiki page and artist other names. Effectively, any name
listed as an other name in a wiki or artist page will be treated like an
alias for autocomplete purposes. This is limited to non-ASCII other names,
to prevent English other names from interfering with regular tag searches.
New rules for user promotions:
* Moderators can no longer promote other users to moderator level. Only
Admins can promote users to Mod level. Mods can only promote up to Builder level.
* Admins can no longer promote other users to Admin level. Only Owners
can promote users to Admin. Admins can only promote up to Mod level.
* Admins can no longer demote themselves or other admins.
These rules are being changed to account for the new Owner user level.
Also change it so that when a user upgrades their account, the promotion
is done by DanbooruBot. This means that the inviter and the mod action
will show DanbooruBot as the promoter instead of the user themselves.
Add a new Owner user level for the site owner. Highly sensitive
operations like manually changing the passwords of other users will be
restricted to the site owner.
Fix an exception that was thrown when trying to autocomplete saved
search labels (e.g. `search:all`) as an anonymous user. This was a
pre-existing bug.
Reworks tag autocomplete to work the same way for all users. Previously
autocomplete for Builders worked differently than autocomplete for
regular users.
This is how it works now:
* If the search starts with a slash (/), then do a tag abbreviation
match. For example, `/evth` matches eyebrows_visible_through_hair.
* Otherwise if the search contains a wildcard (*), then just do a simple
wildcard search.
* Otherwise do a tag prefix match against tags and aliases. For example,
`black` matches all tags or aliases beginning with `black`.
* If the tag prefix match returns no results, then do a autocorrect match.
The differences for regular users:
* You can abbreviate tags with a slash (/).
The differences for Builders:
* Now tag abbreviations have to start with a slash (/).
* Autocorrect isn't performed unless a regular search returns no results.
* Results are always sorted by tag count. Before different types of
results (regular tag matches, alias matches, abbreviation matches,
and autocorrect matches) were all mixed together based on a tag
weighting scheme.
This refactors the autocomplete Javascript to use a single dedicated
/autocomplete.json endpoint instead of a bunch of separate endpoints.
This simplifies the autocomplete Javascript by making it so that instead
of calling a different endpoint for each type of query (for users, wiki
pages, pools, artists, etc), then having to parse the results of each
call to get the data we need, we can call a single endpoint that returns
exactly what we need.
This also means we don't have to parse searches clientside in order to
autocomplete metatags. Instead we can just pass the search term to the
server and let it parse the search, which is easy to do serverside.
Finally, this makes autocomplete easier to test, and it makes it easier
to add more sophisticated autocomplete behavior, since most of the logic
lives serverside.
