This commit performs a sweep on the first batch of non API
files to rename "huddle" to "direct_message_group`.
It also renames variables and methods of type -
"huddle_message" to "group_direct_message".
This is a part of #28640
Earlier we were using the type `OptionalNarrowListT` for all functions
that required "narrow" as a parameter.
This commit changes all the functions accepting a "narrow"
to use a list of the new `NarrowParameter`
instead of `OptionalNarrowListT` which is a list of dicts.
Removed the old `narrow_parameter` as we have shifted to
the new `NarrowParameter` Pydantic Object.
This new object provides better error messages for data validation,
hence changed the error messages in `test_message_fetch`.
Earlier `num_before` and `num_after` wasn't being passed while
testing.
Moving to typed_endpoint requires all the "required" parameters
to be passed to the function explicitly in tests.
Create the is:followed search operator.
Fetch all messages that are from followed topics
using exists.
Update API documentation and changelog.
Co-authored-by: Kenneth Rodrigues <kenneth.nrk123@gmail.com>
Fixes#27309.
Previously, when the operand of id operator was more than
2147483647, it was raising server error. This is because the
maximum permissible PostgreSQL integers value is 2147483647.
This is fixed by raising a BadNarrowOperatorError in case the
id operand is larger than 2147483647.
The messages populated in the test database are random in nature,
so there is a possibility of more than one resolved topic
messages returned by 'self.get_and_check_messages()' query
in 'test_get_messages_for_resolved_topics'.
That would result in a flaky behavior. This commit fixes the
flaky behavior.
9a682fb20a started performing message fetching in a read-only
transaction. However, our use of `get_or_create_huddle` can violate
the read-only promise, and result in a user-facing 500.
In the cases where we're attempting to narrow to a huddle that does
not exist, this is equivalent to a false condition; catch those,
without making the huddle row, and insert a false.
Adds backend support for "channels" operator.
This will deprecate/replace the "streams" operator eventually, but
we will keep support of the operator for backwards compatibility
for a while.
Part of renaming stream to channel project.
Adds backend support for "channel" operator.
This will deprecate/replace the "stream" operator eventually, but
we will keep support of the operator for backwards compatibility
for a while.
Part of renaming stream to channel project.
Prep commit for deprecating the "stream" search operator and
replacing it with the "channel" operator, and for depreacting the
"streams" operator and replacing it with the "channels" operator.
Prep commit for deprecating the "stream" search operator and
replacing it with the "channel" operator, and for depreacting the
"streams" operator and replacing it with the "channels" operator.
Replaces test names, variables and strings to use channel instead
of stream, so that subsequent commits that change the code
are clearer.
Rename the existing 'wildcard_mentioned' flag to
'stream_wildcard_mentioned'.
The 'wildcard_mentioned' flag is deprecated and exists for
backwards compatibility.
We have two separate flags for stream and topic wildcard mentions,
i.e., 'stream_wildcard_mentioned' and 'topic_wildcard_mentioned',
respectively.
* stream wildcard mentions: `@all`, `@everyone`, and `@stream`
* topic wildcard mentions: `@topic`
The `wildcard_mentioned` flag is included in the events and
API response if either `stream_wildcard_mentioned` or
`topic_wildcard_mentioned` is set.
Earlier, the 'wildcard_mentioned' flag was set for both the
stream and topic wildcard mentions.
Now, the 'topic_wildcard_mentioned' flag is set for topic
wildcard mentions, and the 'wildcard_mentioned' flag is set for
stream wildcard mentions.
We will rename the 'wildcard_mentioned' flag to
'stream_wildcard_mentioned' in a later commit.
These queries benefit from the increased specificity of using the
realm / recipient / sender indexes. The argument from 11a1cb9630
does not apply in these cases, since there are only 2 usermessage rows
for each matching message row for DMs, and few more than that for
huddles.
The unique index on `(user_id, message_id)` that is the
`zerver_usermessage` table is rather specific, and even the PostgreSQL
extended statistics are not enough for it to realize there is a
correlation between the `realm_id` in the message table and the
`user_id` in the usermessage table. This means that adding the
`realm_id` limit when there is a join to `zerver_usermessage` flips
the query plan from a nested loop of unique usermessage index-only
scan, with an index scan of the messages pkey -- to a parallel hash
join of the messages limit with a index scan of just the user_id limit
on usermessages. It thinks this is necessary because it thinks that
the `realm_id` limit may remove a large number of messages from the
usermessage set -- which is totally untrue.
Remove the `realm_id` limit if we have a usermessage join.
This commit addresses the issue where the topic highlighting
in search results was offset by one character when an
apostrophe was present. The problem stemmed from the disparity
in HTML escaping generated by the function `func.escape_html` which
is used to obtain `topic_matches` differs from the escaping performed
by the function `django.utils.html.escape` for apostrophes (').
func.escape_html | django.utils.html.escape
-----------------+--------------------------
' | '
To fix this SQL query is changed to return the HTML-escaped
topic name generated by the function `func.escape_html`.
Fixes: #25633.
The get_display_recipient helper is a clumsy way to get
stream names, and it's not even representative of how
most of our code retrieves stream names.
The new helper also double-checks that the Stream
object has the correct recipient id.
Expands support for the message ID operand for id" operator to be either
a string or an integer. Previously, this operand was always validated as
a string.
Alex Vandiver
roanster007
Kenneth Rodrigues
nimish
Anders Kaseorg
Prakhar Pratyush
Lauryn Menard
Sahil Batra
Prakhar Pratyush
Tim Abbott
Akshat
Steve Howell