This change drops the memory used for Python processes run by Zulip in
development from about 1GB to 300MB on my laptop.
On the front of safety, http://pika.readthedocs.org/en/latest/faq.html
explains "Pika does not have any notion of threading in the code. If
you want to use Pika with threading, make sure you have a Pika
connection per thread, created in that thread. It is not safe to share
one Pika connection across threads.". Since this code only connects
to rabbitmq inside the individual threads, I believe this should be
safe.
Progress towards #32.
The new Tornado handler tracking logic properly handled requests that
threw an exception or followed the RespondAsynchronously code path,
but did not properly de-allocated the handler in the syncronous case.
An easy reproducer for this is to load a new Zulip browser window;
that will leak 2 handler objects for the 2 synchronous requests made
from Django to Tornado as part of initial state fetching.
The recent Tornado memory leak fix
(1396eb7022) didn't use the correct
variable name for the current handler ID, causing this cleanup code to
fail in the event that a view raised an exception.
In 2ea0daab19, handlers were moved to
being tracked via the handlers_by_id dict, but nothing cleared this
dict, resulting in every handler object being leaked. Since a Tornado
process uses a different handler object for every request, this
resulted in a significant memory leak. We fix this by clearing the
handlers_by_id dict in the two code paths that would result in a
Tornado handler being de-allocated: the exception codepath and the
handler disconnect codepath.
Fixes#463.
Add a function email_allowed_for_realm that checks whether a user with
given email is allowed to join a given realm (either because the email
has the right domain, or because the realm is open), and use it
whenever deciding whether to allow adding a user to a realm.
This commit is not intended to change any behavior, except in one case
where the Zulip realm's domain was not being converted to lowercase.
Previously, client descriptors were referenced directly from the
handler object. Once we split the Tornado process into separate queue
and connection servers, these will no longer be in the same process,
so we need to reference them by ID instead.
Django's `manage.py runserver` prints a relatively low-information log
line for every request of the form:
[14/Dec/2015 00:43:06]"GET /static/js/message_list.js HTTP/1.0" 200 21969
This is pretty spammy, especially given that we already have our own
middleware printing a more detailed version of the same log lines:
2015-12-14 00:43:06,935 INFO 127.0.0.1 GET 200 0ms /static/js/message_list.js (unauth via ?)
Since runserver doesn't have support controlling whether these log
lines are printed, we wrap it with a small bit of code that silences
the log lines for 200/304 requests (aka the uninteresting ones).
notify_new_user was recently moved to zerver.lib.actions from
zerver.views and this wasn't properly updated. This would give an
error when doing a `manage.py create_user` from the command line.
get_realm is better in two key ways:
* It uses memcached to fetch the data from the cache and thus is faster.
* It does a case-insensitive query and thus is more safe.
This also removes the convenient way to run statsd in the Dev VM,
because we don't anticipate anyone doing that. It's just 2 lines of
config to configure it anyway:
STATSD_HOST = 'localhost'
STATSD_PREFIX = 'user'
(imported from commit 5b09422ee0e956bc7f336dd1e575634380b8bfa2)
The one time use address are a unique token which maps to stored stated
in redis. We store the user_id, recipient_id, and subject. When an email
is received at this address it is sent to the stored recipient by the
stored user. Anyone with this address can send a single message as this
user.
(imported from commit 4219417bdc30c033a6cf7a0c7c0939f7d0308144)
Tim Abbott
Eklavya Sharma
Reid Barton
Tim Abbott
Walter Heck
Steven Oud
David Roe
Nemanja Stanarevic
Tim Abbott
Jason Michalski