Note that a pretty common use case for this is a realm admin sending this to
everyone after an import from HipChat or Slack. So this adds the realm_name
to the title (so that there is something they might recognize) and kept the
wording generic enough to accommodate the user not having clicked anything
to get this email.
Also strengthens the tests a bit to better test the complicated template
logic.
The previous migration code path was broken in two ways:
* ScheduledEmail objects generally contain a `None` value for
whichever of `to_user_id` and `to_email` isn't in use; this could
result in us sending a [None] to send_email(), which doesn't make
sense.
* We were calling handle_send_email_format_changes in the wrong order
with respect to the JSON loading process.
Thanks to Tom Daff for the report!
Technically, we will only need to process deactivated users for the
purpose of reactivating them (and can ignore, e.g., name changes).
But it's simplest to just process them unconditionally.
This should make life a lot more convenient for organizations that use
the LDAP integration and have their avatars in LDAP already.
This hasn't been end-to-end tested against LDAP yet, so there may be
some minor revisions, but fundamentally, it works, has automated
tests, and should be easy to maintain.
Fixes#286.
Apparently, Django's get_current_site function (used, e.g., in
django-two-factor to look up the domain to use in QR codes) first
tries to use the Sites framework, and if unavailable, does the right
thing (namely, using request.get_host()).
We don't use the Sites framework for anything in Zulip, so the correct
fix is to just remove it.
Fixes#11014.
A key part of this is the new helper, get_user_by_delivery_email. Its
verbose name is important for clarity; it should help avoid blind
copy-pasting of get_user (which we'll also want to rename).
Unfortunately, it requires detailed understanding of the context to
figure out which one to use; each is used in about half of call sites.
Another important note is that this PR doesn't migrate get_user calls
in the tests except where not doing so would cause the tests to fail.
This probably deserves a follow-up refactor to avoid bugs here.
Apparently, we have a second code path where we might try to call
send_email library functions on old data, namely in the
queue_processors codebase. So we apply the same migration logic here.
This adds a function that sends provided email to all administrators
of a realm, but in a single email. As a result, send_email now takes
arguments to_user_ids and to_emails instead of to_user_id and
to_email.
We adjust other APIs to match, but note that send_future_email does
not yet support the multiple recipients model for good reasons.
Tweaked by tabbott to modify `manage.py deliver_email` to handle
backwards-compatibily for any ScheduledEmail objects already in the
database.
Fixes#10896.
This library was absolutely essential as part of our Python 2->3
migration process, but all of its calls should be either no-ops or
encode/decode operations.
Note also that the library has been wrong since the incorrect
refactoring in 1f9244e060.
Fixes#10807.
This adds a web flow and management command for reactivating a Zulip
organization, with confirmation from one of the organization
administrators.
Further work is needed to make the emails nicer (ideally, we'd send
one email with all the admins on the `To` line, but the `send_email`
library doesn't support that).
Fixes#10783.
With significant tweaks to the email text by tabbott.
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.
Masking content can be useful for testing
out conversions where you're dealing
with data from customers and want to avoid
inadvertently reading their content (while
still having semi-realistic messages).
This is a very early version of a tool to convert Hipchat
tar files into data files that can be used by the Zulip
import process.
We include the most fundamental entities--users and
streams. Customers who don't care about past messages
or customizations could start an instance off of this
and start communicating.
Of course, there are a lot of things missing in the
initial version:
* messages!
* file assets -- avatars, emojis, attachments
* probably lots of other minor things
We currently ignore any incoming dates from Hipchat data
and just use the current time. This is consistent with
other imports.
We also don't have any docs yet, although the process
will be extremely similar to the "Slack" process:
https://zulipchat.com/help/import-from-slack
Also, there's a comment at the top of convert_hipchat_data.py
that describes how to test this in dev mode.
I tested this by following the steps in the comment above.
The users just "show up" in /devlogin, so that's nice, and
you can send messages to other users. To verify the stream
data you have to go into the gear menu and click on "All
Streams", then you can subscribe and send a message.
Production users will need to get new passwords and
re-subscribe to streams. We will probably auto-subscribe
all users to public streams.
This fixes an issue where passing a path like `~/exports/foo` would
result in a `~` directory being created and the export/import not
working correctly.
This flag is used to track which user/message pairs correspond to an
active mobile push notification, that should potentially be cleared
when the user reads the message.
This flag should never appear on a message that is also marked as
read; eventually we may want a cron job to check for that condition.
We include a partial index on UserMessage for this flag.
The is_private flag is intended to be set if recipient type is
'private'(1) or 'huddle'(3), otherwise i.e if it is 'stream'(2), it
should be unset.
This commit adds a database index for the is_private flag (which we'll
need to use it). That index is used to reset the flag if it was
already set. The already set flags were due to a previous removal of
is_me_message flag for which the values were not cleared out.
For now, the is_private flag is always 0 since the really hard part of
this migration is clearing the unspecified previous state; future
commits will fully implement it actually doing something.
History: Migration rewritten significantly by tabbott to ensure it
runs in only 3 minutes on chat.zulip.org. A key detail in making that
work was to ensure that we use the new index for the queries to find
rows to update (which currently requires the `order_by` and `limit`
clauses).
The only changes visible at the AST level, checked using
https://github.com/asottile/astpretty, are
zerver/lib/test_fixtures.py:
'\x1b\\[(1|0)m' ↦ '\\x1b\\[(1|0)m'
'\\[[X| ]\\] (\\d+_.+)\n' ↦ '\\[[X| ]\\] (\\d+_.+)\\n'
which is fine because re treats '\\x1b' and '\\n' the same way as
'\x1b' and '\n'.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Significantly tweaked by tabbott because:
* Argparse was already handling the early checks
* Splitting the bottom loop into two loops means we validate all the
input before trying to run actual import code on anything.
* The argparse documentation was confusing about whether the paths
should be files or directories.
We extract the entire operations of the management command to a
function create_if_missing_realm_internal_bots in the
zerver/lib/onboarding.py. The logic for determining if there are any realm
internal bots which have not been created is extracted to a function
missing_any_realm_internal_bots in actions.py.
We add conditional infinite sleep to this delivery job as a means to
handle case of multiple servers in service to a realm running this
job. In such a scenerio race conditions might arise leading to
multiple deliveries for same message. This way we try to match the
behaviour of what other jobs do in such a case.
Note: We should eventually do something to make such jobs work
while being running on multiple servers.
Rishi Gupta
Tim Abbott
Joshua Pan
Raymond Akornor
Steve Howell
Vishnu Ks
Rhea Parekh
Shubham Padia
Anders Kaseorg
Sampriti Panda
Aditya Bansal