This was a pretty nasty error, where we were accidentally accessing
the parent list in this inner loop function.
This appears to have been introduced as a refactoring bug in
7822ef38c2.
The various vars here that had recipient_subject
in the name now have either bucket or bucket_tup
there.
The shorter names are a bit easier to read, and the
original names were misleading for the PM case.
This was basically two search/replaces, and we have
good test coverage here, so it's pretty low risk
despite the messy diff.
We now attach zulip_db_data to the markdown engines
for classes that need it. This was the last remaining
global we had, so we remove `arguments.py` here.
The Markdown processor makes it fairly simple for
the helper classes to access the `md` engine. We
now write `_md_engine.zulip_message` to avoid having
the current message in the global namespace.
Note that we do reuse engines for multiple messages,
but each engine is specific to a realm. And we therefore
avoid even the theoretical possibility of leaking message
data between realms.
This makes us consistent with how we import codehilite.
Using Python's normal import mechanism avoids some overhead
with Markdown having to parse dotted notation.
These modules are tiny, so they shouldn't impact startup
too much. Also, by explicitly importing them, we avoid
the pitfall of having a sucessful startup and a broken
renderer.
We were building the same link regex every time
we build a Markdown engine, which happens twice
per realm. It's an expensive operation due to
the complexity of the regex and us reading a file.
Nested classes are kind of expensive in Python,
particularly when you throw in mypy annotations.
Also, flatter is arguably better, although it is
kind of a pain here not to have closures.
This change avoids hitting the Django ORM when
we don't find any possible group mentions in
the message content.
Django doesn't necessarily actually hit the database,
but it's still slow and shows up in profiles.
This commit speeds up the import by avoiding
sender lookups and instead using the data
for users that we already have in memory.
This avoids a few DB hops, many hops to memcached,
plus some object construction.
We now call do_render_markdown() directly. This
also makes it more explicit that the import has
never rendered alert words.
For the import-data codepath, we will call
the extracted function directly in a
subsequent commit.
The do_render_markdown() function has more
required parameters, which allows for more
explicit code and also allows us to flatten
out some logic related to alert words. (We
just pass in empty sets/dicts as needed).
We can rely on `message_realm` being the same
as `message.sender.realm`, which allows us to
skip two queries to the database for the rare
Zephyr mirroring case.
This function requires a message object, whereas
we want to work with JSON data to avoid necessary
queries when we import data. Inlining the function
sets us up for a subsequent refactoring.
We change the way we deal with theoretical return
values of `None` to use an assertion; otherwise,
we would have to loosen up a bunch of mypy types
from `str` to `Optional[str]`. It's not clear `None`
is even possible--we've moved toward throwing exceptions
there instead of silently failing.
This is somewhat hairy logic, so it's nice
to extract it and not worry about variable leaks.
Also, this moves some legacy "subject" references out
of actions.py.
We start by including functions that do custom
queries for topic history.
The goal of this library is partly to quarantine
the legacy "subject" column on Message.
A recent change to check_send_webhook_message allows webhooks to
unescape stream names before sending a message. This commit adds
a test for the edge case where the webhook URL is escaped twice by
a third-party.
Recently, one of our users reported that a JIRA webhook was not
able to send messages to a stream with a space character in its
name. Turns out that JIRA does something weird with webhook URLs,
such that escaped space characters (%20) are escaped again, so
that when the request gets to Zulip, the double escaped %20 is
evaluated as the literal characters `%20`, and not as a space.
We fix this by unescaping the stream name on our end before
sending the message forward!
The previous logic was incorrect, in that if `content_type` was set to
None (which happens with Slack/HipChat export, among other things),
then we wouldn't run the `guess_type` logic to auto-detect the
Content-Type to send to S3.
The last_modified field is intended to support setting the
orig-last-modified field in the S3 backend when importing, basically
to keep track of this bit of pre-export data for debugging. In the
event that it isn't available, the correct thing to do is not write
out an invalid `last_modified` field; we should just not write it out
at all.
This fixes the fact that these emoji were sometimes not displaying
properly (because of changes in the emoji names used in the codebase),
while also making this integration more standard (since it was the
only one with such an aggressive use of emoji).
The UserMessage table can be huge, so creating a
bunch of entries in `ID_MAP` can overflow memory.
We don't have any tables that depend on `UserMessage`,
and we don't send the 'id' fields from `zerver_usermessage`
to the database, so re-mapping them was just busy-work.
This is a preparator refactor for supporting hosting different Tornado
processes on different servers; to look up which Tornado server we
should be sending the event to, we'll need the realm object.
This should make it possible for there to safely be multiple Tornado
processes running on different ports on the same system.
It may also fix a rare race bug in development, where previously, it
was possible for the Tornados processes for Casper and the main
development server to interfere; I haven't investigated whether this
was a real bug or not, but now those two services will use independent
Tornado files.
We still need to add something to direct traffic between the different
Tornado processes.
This reverts commit 3645bb9225.
This change was incorrect, because the `is_zephyr_mirror_realm`
property on Realm is a property and thus isn't available in the
migration codebase.
Since this migration is only run for very old servers, this should
have no impact.
Apparently, the QUERY_STRING property of the report object wasn't
actually a string; since we only care about its string representation,
we should just stringify it.
Apparently, we weren't resetting the query counters inside the
websockets codebase, resulting in broken log results like this:
SOCKET 403 2ms (db: 1ms/2q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 5ms (db: 2ms/3q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 2ms (db: 3ms/4q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 2ms (db: 3ms/5q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 2ms (db: 4ms/6q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 2ms (db: 5ms/7q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 2ms (db: 5ms/8q) /socket/auth [transport=websocket] (unknown via ?)
SOCKET 403 3ms (db: 6ms/9q) /socket/auth [transport=websocket] (unknown via ?)
The correct fix for this is to call reset_queries at the start of each
endpoint within the websockets system. As it turns out, we're already
calling record_request_start_data there, and in fact should be calling
`reset_queries` in all code paths that use that function (the other
code paths, in zerver/middleware.py, do it manually with
connection.connection.queries = []).
So we can clean up the code in a way that reduces risk for similar
future issues and fix this logging bug with this simple refactor.
Fixes#10745.
Use get_display_recipient to get stream names, and remove the
references to message.stream_name in push_notifications.py which were
added in 97571a203, as the actual stream names were being retrived
only for Message objects associated with public streams.
This is mostly an extraction, but it does change the
way we calculate `content`. We append the markdown
links from ALL files to any content that came in the
message itself.
Separating this out also allows us to add more
test coverage for the extracted code.
We now use subscriber_map for building UserMessage
rows in Slack/Gitter conversions.
This is mostly designed to simplify the code, rather
than having to scan the entire subscribers for each
message.
I am guessing this will improve performance for most
conversions. We sort small lists on every message,
in order to be deterministic, but the sorting cost
is probably more than offset by avoiding the O(N)
scans across all subscriptions. Also, it's probably
negligible in the grand scheme of things, compared
to JSON parsing, file I/O, etc.
This commits also fixes some typos with mentioned_users_id ->
mentioned_user_ids and cleans up a test a bit as well.
We now have all three third party
conversions (Gitter/Slack/Hipchat)
go through build_user_message().
Hipchat was already using this helper.
We also avoid callers having to pass in
an id to build_user_message().
When you send a message to a bot that wants
to talk via an outgoing webhook, and there's
an error (e.g. server is down), we send a
message to the bot's owner that links to the
message that triggered the error.
The code to produce those links was out of
date.
Now we move the important code to the
`url_encoding.py` library and fix the PM
links to use the more modern style (user_ids
instead of emails). We also replace "subject"
with "topic" in the stream urls.