synapse-old/docker/Dockerfile-workers

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# syntax=docker/dockerfile:1
Add a dockerfile for running a set of Synapse worker processes (#9162) This PR adds a Dockerfile and some supporting files to the `docker/` directory. The Dockerfile's intention is to spin up a container with: * A Synapse main process. * Any desired worker processes, defined by a `SYNAPSE_WORKERS` environment variable supplied at runtime. * A redis for worker communication. * A nginx for routing traffic. * A supervisord to start all worker processes and monitor them if any go down. Note that **this is not currently intended to be used in production**. If you'd like to use Synapse workers with Docker, instead make use of the official image, with one worker per container. The purpose of this dockerfile is currently to allow testing Synapse in worker mode with the [Complement](https://github.com/matrix-org/complement/) test suite. `configure_workers_and_start.py` is where most of the magic happens in this PR. It reads from environment variables (documented in the file) and creates all necessary config files for the processes. It is the entrypoint of the Dockerfile, and thus is run any time the docker container is spun up, recreating all config files in case you want to use a different set of workers. One can specify which workers they'd like to use by setting the `SYNAPSE_WORKERS` environment variable (as a comma-separated list of arbitrary worker names) or by setting it to `*` for all worker processes. We will be using the latter in CI. Huge thanks to @MatMaul for helping get this all working :tada: This PR is paired with its equivalent on the Complement side: https://github.com/matrix-org/complement/pull/62. Note, for the purpose of testing this PR before it's merged: You'll need to (re)build the base Synapse docker image for everything to work (`matrixdotorg/synapse:latest`). Then build the worker-based docker image on top (`matrixdotorg/synapse:workers`).
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ARG SYNAPSE_VERSION=latest
ARG FROM=matrixdotorg/synapse:$SYNAPSE_VERSION
Add a dockerfile for running a set of Synapse worker processes (#9162) This PR adds a Dockerfile and some supporting files to the `docker/` directory. The Dockerfile's intention is to spin up a container with: * A Synapse main process. * Any desired worker processes, defined by a `SYNAPSE_WORKERS` environment variable supplied at runtime. * A redis for worker communication. * A nginx for routing traffic. * A supervisord to start all worker processes and monitor them if any go down. Note that **this is not currently intended to be used in production**. If you'd like to use Synapse workers with Docker, instead make use of the official image, with one worker per container. The purpose of this dockerfile is currently to allow testing Synapse in worker mode with the [Complement](https://github.com/matrix-org/complement/) test suite. `configure_workers_and_start.py` is where most of the magic happens in this PR. It reads from environment variables (documented in the file) and creates all necessary config files for the processes. It is the entrypoint of the Dockerfile, and thus is run any time the docker container is spun up, recreating all config files in case you want to use a different set of workers. One can specify which workers they'd like to use by setting the `SYNAPSE_WORKERS` environment variable (as a comma-separated list of arbitrary worker names) or by setting it to `*` for all worker processes. We will be using the latter in CI. Huge thanks to @MatMaul for helping get this all working :tada: This PR is paired with its equivalent on the Complement side: https://github.com/matrix-org/complement/pull/62. Note, for the purpose of testing this PR before it's merged: You'll need to (re)build the base Synapse docker image for everything to work (`matrixdotorg/synapse:latest`). Then build the worker-based docker image on top (`matrixdotorg/synapse:workers`).
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# first of all, we create a base image with an nginx which we can copy into the
# target image. For repeated rebuilds, this is much faster than apt installing
# each time.
FROM docker.io/library/debian:bookworm-slim AS deps_base
RUN \
--mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt,sharing=locked \
apt-get update -qq && \
DEBIAN_FRONTEND=noninteractive apt-get install -yqq --no-install-recommends \
redis-server nginx-light
# Similarly, a base to copy the redis server from.
#
# The redis docker image has fewer dynamic libraries than the debian package,
# which makes it much easier to copy (but we need to make sure we use an image
# based on the same debian version as the synapse image, to make sure we get
# the expected version of libc.
FROM docker.io/library/redis:7-bookworm AS redis_base
# now build the final image, based on the the regular Synapse docker image
FROM $FROM
# Install supervisord with pip instead of apt, to avoid installing a second
# copy of python.
RUN --mount=type=cache,target=/root/.cache/pip \
pip install supervisor~=4.2
RUN mkdir -p /etc/supervisor/conf.d
# Copy over redis and nginx
COPY --from=redis_base /usr/local/bin/redis-server /usr/local/bin
COPY --from=deps_base /usr/sbin/nginx /usr/sbin
COPY --from=deps_base /usr/share/nginx /usr/share/nginx
COPY --from=deps_base /usr/lib/nginx /usr/lib/nginx
COPY --from=deps_base /etc/nginx /etc/nginx
RUN rm /etc/nginx/sites-enabled/default
RUN mkdir /var/log/nginx /var/lib/nginx
RUN chown www-data /var/lib/nginx
# have nginx log to stderr/out
RUN ln -sf /dev/stdout /var/log/nginx/access.log
RUN ln -sf /dev/stderr /var/log/nginx/error.log
# Copy Synapse worker, nginx and supervisord configuration template files
COPY ./docker/conf-workers/* /conf/
# Copy a script to prefix log lines with the supervisor program name
COPY ./docker/prefix-log /usr/local/bin/
# Expose nginx listener port
EXPOSE 8080/tcp
# A script to read environment variables and create the necessary
# files to run the desired worker configuration. Will start supervisord.
COPY ./docker/configure_workers_and_start.py /configure_workers_and_start.py
ENTRYPOINT ["/configure_workers_and_start.py"]
# Replace the healthcheck with one which checks *all* the workers. The script
# is generated by configure_workers_and_start.py.
HEALTHCHECK --start-period=5s --interval=15s --timeout=5s \
CMD /bin/sh /healthcheck.sh