This demonstrates some basic use cases of the Json[...] wrapper with
@typed_endpoint.
Along with this change we extend test_openapi so that schema checking
based on function signatures will still work with this new decorator.
Pydantic's TypeAdapter supports dumping the JSON schema of any given type,
which is leveraged here to validate against our own OpenAPI definitions.
Parts of the implementation will be covered in later commits as we
migrate more functions to use @typed_endpoint.
See also:
https://docs.pydantic.dev/latest/api/type_adapter/#pydantic.type_adapter.TypeAdapter.json_schema
For the OpenAPI schema, we preprocess it mostly the same way. For the
parameter types though, we no longer need to use
get_standardized_argument_type to normalize type annotation, because
Pydantic dumps a JSON schema that is compliant with OpenAPI schema
already, which makes it a lot convenient for us to compare the types
with our OpenAPI definitions.
Do note that there are some exceptions where our definitions do not match
the generated one. For example, we use JSON to parse int and bool parameters,
but we don't mark them to use "application/json" in our definitions.
Various backend tests use the `PATCH /messages/{msg_id}` endpoint.
For that endpoint, the message ID is encoded in the URL path and
ignored if provided as a parameter in the the query.
Verified that the tests were providing the same message ID to both
the path and then removed the ignored parameter in the query.
This prevents the regex from requiring multiple spaces between
adjacent alert words by using lookahead and lookbehind (rather than
the before/after checks each needing to eat a whitespace character) so
that consecutive alert words (if any) can be highlighted.
With a frontend test covering adjacent corner cases by tabbott.
Fixes#17320
The tests had a bunch of different ways to create
users; now we are consistent. (This is a bit of
a prep step, too, to allow us to easily clean
Hamlet's existing words before each test.)
Fixes#2665.
Regenerated by tabbott with `lint --fix` after a rebase and change in
parameters.
Note from tabbott: In a few cases, this converts technical debt in the
form of unsorted imports into different technical debt in the form of
our largest files having very long, ugly import sequences at the
start. I expect this change will increase pressure for us to split
those files, which isn't a bad thing.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Automatically generated by the following script, based on the output
of lint with flake8-comma:
import re
import sys
last_filename = None
last_row = None
lines = []
for msg in sys.stdin:
m = re.match(
r"\x1b\[35mflake8 \|\x1b\[0m \x1b\[1;31m(.+):(\d+):(\d+): (\w+)", msg
)
if m:
filename, row_str, col_str, err = m.groups()
row, col = int(row_str), int(col_str)
if filename == last_filename:
assert last_row != row
else:
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
with open(filename) as f:
lines = f.readlines()
last_filename = filename
last_row = row
line = lines[row - 1]
if err in ["C812", "C815"]:
lines[row - 1] = line[: col - 1] + "," + line[col - 1 :]
elif err in ["C819"]:
assert line[col - 2] == ","
lines[row - 1] = line[: col - 2] + line[col - 1 :].lstrip(" ")
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
Changing test_alert_words to use do_add_alert_words() and
do_remove_alert_words() from lib/actions.py instead of the
existing add_user_alert_words() and remove_user_alert_words()
as is the general policy of calling these functions when we
are updating the database.
The post_init cache-flushing behavior in the original alert words
migration was subtly wrong; while it may have passed tests, it didn't
have the right ordering for unlikely races.
We use post_save rather than post_init hooks precisely because they
ensure that we flush the cache after we know the database has been
updated and any future reads from the database will have the latest
state.
Previously, alert words were case-insensitive in practice, by which I
mean the Markdown logic had always been case-insensitive; but the data
model was not, so you could create "duplicate" alert words with the
same words in different cases. We fix this inconsistency by making
the database model case-insensitive.
I'd prefer to be using the Postgres `citext` extension to have
postgres take care of case-insensitive logic for us, but that requires
installing a postgres extension as root on the postgres server, which
is a pain and perhaps not worth the effort to arrange given that we
can achieve our goals with transaction when adding alert words.
We take advantage of the migrate_alert_words migration we're already
doing for all users to effect this transition.
Fixes#12563.
This test was passing a string, not an Iterable[str], and effectively
a quirk in the remove_alert_words implementation happened to result in
processing each character in the string working.
Generated by `pyupgrade --py3-plus --keep-percent-format` on all our
Python code except `zthumbor` and `zulip-ec2-configure-interfaces`,
followed by manual indentation fixes.
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
We now have this API...
If you really just need to log in
and not do anything with the actual
user:
self.login('hamlet')
If you're gonna use the user in the
rest of the test:
hamlet = self.example_user('hamlet')
self.login_user(hamlet)
If you are specifically testing
email/password logins (used only in 4 places):
self.login_by_email(email, password)
And for failures uses this (used twice):
self.assert_login_failure(email)
This commit mostly makes our tests less
noisy, since emails are no longer an important
detail of sending messages (they're not even
really used in the API).
It also sets us up to have more scrutiny
on delivery_email/email in the future
for things that actually matter. (This is
a prep commit for something along those
lines, kind of hard to explain the full
plan.)
POST and DELETE operations in /users/me/alert_words may leave the
user's list of alert words in an unknown state: POSTing adds words to a
list that the client may not know from the begining, and the same with
DELETE.
Replying with the current status of the alert words list is the best way
of letting the client alter the list and knowing its contents after
being updated with a single query.
This is especially useful taking into account that POSTing words that
were already present and DELETing non-existing words both produce a
successful response.
An extra test has been added to avoid leaving GET /users/me/alert_words
too untested.
This fixes most cases where we were assigning a user to
the var email and then calling get_user_profile_by_email with
that var.
(This was fixed mostly with a script.)
The example_user() function is specifically designed for
AARON, hamlet, cordelia, and friends, and it allows a concise
way of using their built-in user profiles. Eventually, the
widespread use of example_user() should help us with refactorings
such as moving the tests users out of the "zulip.com" realm
and deprecating get_user_profile_by_email.
Zixuan James Li
Anders Kaseorg
Lauryn Menard
Abhijeet Prasad Bodas
im-adithya
Steve Howell
Anders Kaseorg
Abhishek-Balaji
Tim Abbott
Steve Howell
Anders Kaseorg
Yago González
Aditya Bansal
rht
Alena Volkova
Umair Khan
Vishnu Ks
Andrew Archer
Andrew Archer
Steve Howell
Juanvulcano
bulat22101
Sidhant Bhavnani
sinwar