* Use a participant worker queue in room.
Removes selectively needing to call things in goroutine from
participant.
Also, a bit of drive-by clean up.
* spelling
* prevent race
* don't need to remove in goroutine as it is already running in the worker
* worker will get cleaned up in state change callback
* create participant worker only if not created already
* ref count participant worker
* maintain participant list
* clean up oldState
* Use Seque in ops queue.
Standardizing some uses
- Change OpsQueue to use Deque so that it can grow/shrink as necessary and
need not worry about channel getting full and dropping events.
- Change StreamAllocator and TelemetryService to use OpsQueue so that
they also need not worry about channel size and overflows.
* Address feedback
* delete obvious comment
* clean up
* Augment LeaveRequest with alternate regions to connect.
* update protocol and issue resume action on close if expected to resume
* use current protocol in tests
* address feedback
Used the full TrackInfo in my previous PR, but telemetry might be
relying on top level Width/Height. So, make a pared down TrackInfo to
report to telemetry.
Also, correct some spelling/comments.
* Unify muted and unmuted migration paths.
If dynacast had disabled all layers, after a migration, the client did
not restart publish (it is akin to muted track). That failed migration
because migration state machine waits for unmuted tracks to be published
(i. e. server has to receive packets).
If a migrating track is in muted state, server does not wait for
packets. It synthesises the published event and catches up later when
packets actually come in.
Just treating all migrations as the erstwhile muted case. Sythesise
publish whether track is muted or not. In the unmuted case, packets
might arrive soon after whereas in muted case, it will depend on when
unmute happens.
This is tricky stuff. So, will need good testing.
* use muted from track info
The comparisson between the last and current ParticipantInfo_State wasn't atomic. This sometimes resulted in two calls to onStateChange method for the same participant state. In the end this was reflected in two ACTIVE events being generated for the same participant at exactly the same moment. The fix actually uses the atomic method Swap to properly protect the "compare and set" operation and avoid any race condition.
* Add ControllerNodeId and SelectionReason to StartSession.
Media node has that information and can log it in context.
* Update deps
* clean up and mage generate
* clean up and fix test
* clean up
* clean up
* Add a simulation scenario to disconnect signal channel on resume
- Requesting that scenario add that participant to a map with a timeout
of 5 seconds.
- If a resume (reconnect = 1) happens before the timeout, the signalling
channel is closed immediately on resume.
- There is a clean up worker which will remove entries from the map when
they timout.
- The participant is also removed from the map if the disconnect on
resume is invoked once.
* simulate disconnect signal on resume no messages
* comment
* comment
* Close all retries
* update deps
* abort resume only if simulation applied
* Revert SIP change
It is possible that onBindAndConnectedChanged gets executed in such a
way that `writable` does not have the correct value in some very rare
timing case (i. e. case like two executions of the function is racing
and one atomic was read on first exeuction and second execution runs and
sets `writable` and then first execution completes the sets `writable`
to incorrect value based on stale read of first execution).
Prevent it by executing under bind lock.
PacketsLost may not provide useful if repairs are discounting the loss.
So, out-of-order packets are an indication of loss and maybe subsequent
repair. Note that out-of-order could be just out-of-order by a short
amount of time, but a lot of that happening is not good either.
So, out-of-order could provide a decent view of link quality.
