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# Running tests against a dockerised Synapse
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It's possible to run integration tests against Synapse
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using [Complement](https://github.com/matrix-org/complement). Complement is a Matrix Spec
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compliance test suite for homeservers, and supports any homeserver docker image configured
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to listen on ports 8008/8448. This document contains instructions for building Synapse
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docker images that can be run inside Complement for testing purposes.
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Note that running Synapse's unit tests from within the docker image is not supported.
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## Using the Complement launch script
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`scripts-dev/complement.sh` is a script that will automatically build
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and run Synapse against Complement.
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Consult the [contributing guide][guideComplementSh] for instructions on how to use it.
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[guideComplementSh]: https://matrix-org.github.io/synapse/latest/development/contributing_guide.html#run-the-integration-tests-complement
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## Building and running the images manually
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Under some circumstances, you may wish to build the images manually.
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The instructions below will lead you to doing that.
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Start by building the base Synapse docker image. If you wish to run tests with the latest
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release of Synapse, instead of your current checkout, you can skip this step. From the
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root of the repository:
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```sh
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docker build -t matrixdotorg/synapse -f docker/Dockerfile .
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```
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Next, build the workerised Synapse docker image, which is a layer over the base
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image.
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```sh
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docker build -t matrixdotorg/synapse-workers -f docker/Dockerfile-workers .
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```
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Finally, build the multi-purpose image for Complement, which is a layer over the workers image.
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```sh
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docker build -t complement-synapse -f docker/complement/Dockerfile docker/complement
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```
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This will build an image with the tag `complement-synapse`, which can be handed to
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Complement for testing via the `COMPLEMENT_BASE_IMAGE` environment variable. Refer to
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[Complement's documentation](https://github.com/matrix-org/complement/#running) for
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how to run the tests, as well as the various available command line flags.
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See [the Complement image README](./complement/README.md) for information about the
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expected environment variables.
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## Running the Dockerfile-worker image standalone
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For manual testing of a multi-process Synapse instance in Docker,
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[Dockerfile-workers](Dockerfile-workers) is a Dockerfile that will produce an image
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bundling all necessary components together for a workerised homeserver instance.
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This includes any desired Synapse worker processes, a nginx to route traffic accordingly,
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a redis for worker communication and a supervisord instance to start up and monitor all
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processes. You will need to provide your own postgres container to connect to, and TLS
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is not handled by the container.
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Once you've built the image using the above instructions, you can run it. Be sure
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you've set up a volume according to the [usual Synapse docker instructions](README.md).
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Then run something along the lines of:
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```
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docker run -d --name synapse \
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--mount type=volume,src=synapse-data,dst=/data \
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-p 8008:8008 \
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-e SYNAPSE_SERVER_NAME=my.matrix.host \
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-e SYNAPSE_REPORT_STATS=no \
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-e POSTGRES_HOST=postgres \
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-e POSTGRES_USER=postgres \
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-e POSTGRES_PASSWORD=somesecret \
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-e SYNAPSE_WORKER_TYPES=synchrotron,media_repository,user_dir \
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-e SYNAPSE_WORKERS_WRITE_LOGS_TO_DISK=1 \
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matrixdotorg/synapse-workers
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```
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...substituting `POSTGRES*` variables for those that match a postgres host you have
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available (usually a running postgres docker container).
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### Workers
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The `SYNAPSE_WORKER_TYPES` environment variable is a comma-separated list of workers to
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use when running the container. All possible worker names are defined by the keys of the
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`WORKERS_CONFIG` variable in [this script](configure_workers_and_start.py), which the
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Dockerfile makes use of to generate appropriate worker, nginx and supervisord config
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files.
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Sharding is supported for a subset of workers, in line with the
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[worker documentation](../docs/workers.md). To run multiple instances of a given worker
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type, simply specify the type multiple times in `SYNAPSE_WORKER_TYPES`
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(e.g `SYNAPSE_WORKER_TYPES=event_creator,event_creator...`).
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Otherwise, `SYNAPSE_WORKER_TYPES` can either be left empty or unset to spawn no workers
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(leaving only the main process).
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The container will only be configured to use Redis-based worker mode if there are
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workers enabled.
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### Logging
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Logs for workers and the main process are logged to stdout and can be viewed with
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standard `docker logs` tooling. Worker logs contain their worker name
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after the timestamp.
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Setting `SYNAPSE_WORKERS_WRITE_LOGS_TO_DISK=1` will cause worker logs to be written to
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`<data_dir>/logs/<worker_name>.log`. Logs are kept for 1 week and rotate every day at 00:
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00, according to the container's clock. Logging for the main process must still be
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configured by modifying the homeserver's log config in your Synapse data volume.
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### Application Services
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Setting the `SYNAPSE_AS_REGISTRATION_DIR` environment variable to the path of
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a directory (within the container) will cause the configuration script to scan
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that directory for `.yaml`/`.yml` registration files.
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Synapse will be configured to load these configuration files.
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### TLS Termination
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Nginx is present in the image to route requests to the appropriate workers,
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but it does not serve TLS by default.
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You can configure `SYNAPSE_TLS_CERT` and `SYNAPSE_TLS_KEY` to point to a
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TLS certificate and key (respectively), both in PEM (textual) format.
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In this case, Nginx will additionally serve using HTTPS on port 8448.
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