Most of this is just asserting that the sub_dict return value from
access_stream_by_id is not None in the cases where it shouldn't be,
but additionally, we also need to pass a function into
validate_user_access_to_subscribers_helper (in this case, just `lambda:
True` works fine)
While maybe these don't all belong in this test file, the overall
effect is that we now have quite good test coverage on
analytics/views.py.
It'd be nice to add some more assert statements for specific values
being present in the pages, but since we're not really working on that
part of the product, it's not a priority yet.
We're never going to add tests for this block, which is fundamentally
well-tested code from Django with a since line changed which is hard
to screw up (long-polling will not work at all without it). The hope
is to remove it entirely and replace it with a cleaner monkey-patch,
but until then, unit tests for it would be redundant.
This has a cool structure, but it's written against the long-dead
South API, and we can always pull it out of the Git history if we want
to use this approach in the future.
We now initialize most modules in ui_init.js, which
isn't the perfect place to do it, but at least now
we have a mostly consolidated entry point.
All the new foo.initialize() methods introduced in
this module run the same order relative to each
other as before this commit. (I did some console
logging with a hacked version of the program to
get the order right.) They happen a bit later than
before, though.
A couple modules still have the `$(function() {`
idiom for miscellaneous reasons:
archive - is a different bundle
common - used elsewhere
list_render - non-standard code style
scroll_bar - no exports
setup - probably special?
socket - $(function () is nested!
transmit - coupled to socket
translations - i18n is a bigger problem
ui_init - this bootstraps everything
This is preferred, since we don't currently have a way to run Django
logic on the postgres hosts with the Docker implementation.
This is a necessary part of removing the need for the docker-zulip
package to patch this file to make Zulip work with Docker.
This leaves the wrapper script with very little left to do!
The main thing left is finding scripts by searching for shebang lines;
mypy itself would happily do the search for importable Python files.
This module doesn't exist, and never did; the name appears to be a
mistaken variant of the module that really does contain ZulipTestCase.
So, fix the import to use the real name.
This would never have worked at runtime, which is why it's in an
`if False:`. It's also an example of the kind of error that can be
hidden by `ignore_missing_imports`; we'd have caught the issue
immediately if we hadn't had a blanket application of that flag
in place.
We now work with MessageListData objects while populating
data from local narrows, before actually making the
wrapper MessageList object.
This change will simplify unit testing (less view stuff
to fake out) in certain situations.
It will also allow us to eliminate the delay_render flag.
We used to have positional parameters for table_name
and filter, but we don't use them for message_list.all
and we're about to replace filter in some cases.
Passing everything in on opts is more consistent and
self-documenting in the calling code, plus lots of
unit tests can get away with passing in `{}` now
for situations where table_name does not matter.
All of our callers pass in muting_enabled, so we
remove the default value for it. And then the
collapse_messages variable doesn't have to live on
`this` as it's only being passed through down to the
view.
Before this change, the way to add messages had a lot
of ping-pong-ing between MessageList and MessageListData,
where first the data got triaged, but not actually
inserted into data structures, and then subsequent
calls would add the data and get filtered results.
Now we have a simple API for MessageListData.add_messages
that does all the data stuff up front. Having a fully
function MLD.add_messages not only makes the ML.add_messages
function about four lines shorter, it also sets us up
to easily build standalone MLD objects before making
the heavier ML objects.
Tim Abbott
Aman Ghebreweldi
Joshua Pan
Steve Howell
Baron Chandler
Yashashvi Dave
Greg Price
Eeshan Garg