Michael Kaye e2c300e7e4 Create healthcheck script for synapse-workers container (#11429) | 2 سال پیش | |
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conf | 2 سال پیش | |
conf-workers | 2 سال پیش | |
Dockerfile | 3 سال پیش | |
Dockerfile-dhvirtualenv | 3 سال پیش | |
Dockerfile-pgtests | 3 سال پیش | |
Dockerfile-workers | 2 سال پیش | |
README-testing.md | 3 سال پیش | |
README.md | 3 سال پیش | |
build_debian.sh | 3 سال پیش | |
configure_workers_and_start.py | 2 سال پیش | |
run_pg_tests.sh | 3 سال پیش | |
start.py | 3 سال پیش |
It's possible to run integration tests against Synapse using Complement. Complement is a Matrix Spec compliance test suite for homeservers, and supports any homeserver docker image configured to listen on ports 8008/8448. This document contains instructions for building Synapse docker images that can be run inside Complement for testing purposes.
Note that running Synapse's unit tests from within the docker image is not supported.
Note that
scripts-dev/complement.sh
is a script that will automatically build and run an SQLite-based, single-process of Synapse against Complement.
The instructions below will set up Complement testing for a single-process, SQLite-based Synapse deployment.
Start by building the base Synapse docker image. If you wish to run tests with the latest release of Synapse, instead of your current checkout, you can skip this step. From the root of the repository:
docker build -t matrixdotorg/synapse -f docker/Dockerfile .
This will build an image with the tag matrixdotorg/synapse
.
Next, build the Synapse image for Complement. You will need a local checkout of Complement. Change to the root of your Complement checkout and run:
docker build -t complement-synapse -f "dockerfiles/Synapse.Dockerfile" dockerfiles
This will build an image with the tag complement-synapse
, which can be handed to
Complement for testing via the COMPLEMENT_BASE_IMAGE
environment variable. Refer to
Complement's documentation for
how to run the tests, as well as the various available command line flags.
The above docker image only supports running Synapse with SQLite and in a single-process topology. The following instructions are used to build a Synapse image for Complement that supports either single or multi-process topology with a PostgreSQL database backend.
As with the single-process image, build the base Synapse docker image. If you wish to run tests with the latest release of Synapse, instead of your current checkout, you can skip this step. From the root of the repository:
docker build -t matrixdotorg/synapse -f docker/Dockerfile .
This will build an image with the tag matrixdotorg/synapse
.
Next, we build a new image with worker support based on matrixdotorg/synapse:latest
.
Again, from the root of the repository:
docker build -t matrixdotorg/synapse-workers -f docker/Dockerfile-workers .
This will build an image with the tagmatrixdotorg/synapse-workers
.
It's worth noting at this point that this image is fully functional, and can be used for testing against locally. See instructions for using the container under Running the Dockerfile-worker image standalone below.
Finally, build the Synapse image for Complement, which is based on
matrixdotorg/synapse-workers
. You will need a local checkout of Complement. Change to
the root of your Complement checkout and run:
docker build -t matrixdotorg/complement-synapse-workers -f dockerfiles/SynapseWorkers.Dockerfile dockerfiles
This will build an image with the tag complement-synapse
, which can be handed to
Complement for testing via the COMPLEMENT_BASE_IMAGE
environment variable. Refer to
Complement's documentation for
how to run the tests, as well as the various available command line flags.
For manual testing of a multi-process Synapse instance in Docker, Dockerfile-workers is a Dockerfile that will produce an image bundling all necessary components together for a workerised homeserver instance.
This includes any desired Synapse worker processes, a nginx to route traffic accordingly, a redis for worker communication and a supervisord instance to start up and monitor all processes. You will need to provide your own postgres container to connect to, and TLS is not handled by the container.
Once you've built the image using the above instructions, you can run it. Be sure you've set up a volume according to the usual Synapse docker instructions. Then run something along the lines of:
docker run -d --name synapse \
--mount type=volume,src=synapse-data,dst=/data \
-p 8008:8008 \
-e SYNAPSE_SERVER_NAME=my.matrix.host \
-e SYNAPSE_REPORT_STATS=no \
-e POSTGRES_HOST=postgres \
-e POSTGRES_USER=postgres \
-e POSTGRES_PASSWORD=somesecret \
-e SYNAPSE_WORKER_TYPES=synchrotron,media_repository,user_dir \
-e SYNAPSE_WORKERS_WRITE_LOGS_TO_DISK=1 \
matrixdotorg/synapse-workers
...substituting POSTGRES*
variables for those that match a postgres host you have
available (usually a running postgres docker container).
The SYNAPSE_WORKER_TYPES
environment variable is a comma-separated list of workers to
use when running the container. All possible worker names are defined by the keys of the
WORKERS_CONFIG
variable in this script, which the
Dockerfile makes use of to generate appropriate worker, nginx and supervisord config
files.
Sharding is supported for a subset of workers, in line with the
worker documentation. To run multiple instances of a given worker
type, simply specify the type multiple times in SYNAPSE_WORKER_TYPES
(e.g SYNAPSE_WORKER_TYPES=event_creator,event_creator...
).
Otherwise, SYNAPSE_WORKER_TYPES
can either be left empty or unset to spawn no workers
(leaving only the main process). The container is configured to use redis-based worker
mode.
Logs for workers and the main process are logged to stdout and can be viewed with
standard docker logs
tooling. Worker logs contain their worker name
after the timestamp.
Setting SYNAPSE_WORKERS_WRITE_LOGS_TO_DISK=1
will cause worker logs to be written to
<data_dir>/logs/<worker_name>.log
. Logs are kept for 1 week and rotate every day at 00:
00, according to the container's clock. Logging for the main process must still be
configured by modifying the homeserver's log config in your Synapse data volume.