* Rate-limiting for registration
* Add unit test for registration rate limiting
* Add config parameters for rate limiting on auth endpoints
* Doc
* Fix doc of rate limiting function
Co-Authored-By: babolivier <contact@brendanabolivier.com>
* Incorporate review
* Fix config parsing
* Fix linting errors
* Set default config for auth rate limiting
* Fix tests
* Add changelog
* Advance reactor instead of mocked clock
* Move parameters to registration specific config and give them more sensible default values
* Remove unused config options
* Don't mock the rate limiter un MAU tests
* Rename _register_with_store into register_with_store
* Make CI happy
* Remove unused import
* Update sample config
* Fix ratelimiting test for py2
* Add non-guest test
Remove a call to run_as_background_process: there is no need to run this as a
background process, because build_and_send_edu does not block.
We may as well inline the whole of _push_remotes.
When filtering events to send to server we check more than just history
visibility. However when deciding whether to backfill or not we only
care about the history visibility.
In worker mode, on the federation sender, when we receive an edu for sending
over the replication socket, it is parsed into an Edu object. There is no point
extracting the contents of it so that we can then immediately build another Edu.
* make 'event_id' a required parameter in federated state requests
As per the spec: https://matrix.org/docs/spec/server_server/r0.1.1.html#id40
Signed-off-by: Joseph Weston <joseph@weston.cloud>
* add changelog entry for bugfix
Signed-off-by: Joseph Weston <joseph@weston.cloud>
* Update server.py
If the client failed to process incoming commands during the initial set
up of the replication connection it would immediately disconnect and
reconnect, resulting in a tightloop.
This can happen, for example, when subscribing to a stream that has a
row that is too long in the backlog.
The fix here is to not consider the connection successfully set up until
the client has succesfully subscribed and caught up with the streams.
This ensures that the retry logic timers aren't reset until then,
meaning that if an error does happen during start up the client will
continue backing off before retrying again.