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617 lines
23 KiB
Python
Executable File
617 lines
23 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright 2021 The Matrix.org Foundation C.I.C.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This script reads environment variables and generates a shared Synapse worker,
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# nginx and supervisord configs depending on the workers requested.
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#
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# The environment variables it reads are:
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# * SYNAPSE_SERVER_NAME: The desired server_name of the homeserver.
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# * SYNAPSE_REPORT_STATS: Whether to report stats.
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# * SYNAPSE_WORKER_TYPES: A comma separated list of worker names as specified in WORKER_CONFIG
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# below. Leave empty for no workers, or set to '*' for all possible workers.
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# * SYNAPSE_AS_REGISTRATION_DIR: If specified, a directory in which .yaml and .yml files
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# will be treated as Application Service registration files.
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# * SYNAPSE_TLS_CERT: Path to a TLS certificate in PEM format.
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# * SYNAPSE_TLS_KEY: Path to a TLS key. If this and SYNAPSE_TLS_CERT are specified,
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# Nginx will be configured to serve TLS on port 8448.
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#
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# NOTE: According to Complement's ENTRYPOINT expectations for a homeserver image (as defined
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# in the project's README), this script may be run multiple times, and functionality should
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# continue to work if so.
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import os
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import subprocess
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import sys
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from pathlib import Path
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from typing import Any, Dict, List, Mapping, MutableMapping, NoReturn, Set
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import yaml
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from jinja2 import Environment, FileSystemLoader
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MAIN_PROCESS_HTTP_LISTENER_PORT = 8080
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WORKERS_CONFIG: Dict[str, Dict[str, Any]] = {
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"pusher": {
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"app": "synapse.app.pusher",
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"listener_resources": [],
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"endpoint_patterns": [],
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"shared_extra_conf": {"start_pushers": False},
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"worker_extra_conf": "",
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},
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"user_dir": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client"],
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"endpoint_patterns": [
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"^/_matrix/client/(api/v1|r0|v3|unstable)/user_directory/search$"
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],
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"shared_extra_conf": {"update_user_directory_from_worker": "user_dir1"},
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"worker_extra_conf": "",
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},
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"media_repository": {
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"app": "synapse.app.media_repository",
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"listener_resources": ["media"],
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"endpoint_patterns": [
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"^/_matrix/media/",
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"^/_synapse/admin/v1/purge_media_cache$",
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"^/_synapse/admin/v1/room/.*/media.*$",
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"^/_synapse/admin/v1/user/.*/media.*$",
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"^/_synapse/admin/v1/media/.*$",
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"^/_synapse/admin/v1/quarantine_media/.*$",
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],
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"shared_extra_conf": {"enable_media_repo": False},
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"worker_extra_conf": "enable_media_repo: true",
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},
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"appservice": {
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"app": "synapse.app.generic_worker",
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"listener_resources": [],
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"endpoint_patterns": [],
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"shared_extra_conf": {"notify_appservices_from_worker": "appservice1"},
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"worker_extra_conf": "",
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},
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"federation_sender": {
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"app": "synapse.app.federation_sender",
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"listener_resources": [],
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"endpoint_patterns": [],
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"shared_extra_conf": {"send_federation": False},
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"worker_extra_conf": "",
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},
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"synchrotron": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client"],
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"endpoint_patterns": [
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"^/_matrix/client/(v2_alpha|r0|v3)/sync$",
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"^/_matrix/client/(api/v1|v2_alpha|r0|v3)/events$",
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"^/_matrix/client/(api/v1|r0|v3)/initialSync$",
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"^/_matrix/client/(api/v1|r0|v3)/rooms/[^/]+/initialSync$",
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],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"federation_reader": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["federation"],
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"endpoint_patterns": [
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"^/_matrix/federation/(v1|v2)/event/",
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"^/_matrix/federation/(v1|v2)/state/",
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"^/_matrix/federation/(v1|v2)/state_ids/",
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"^/_matrix/federation/(v1|v2)/backfill/",
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"^/_matrix/federation/(v1|v2)/get_missing_events/",
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"^/_matrix/federation/(v1|v2)/publicRooms",
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"^/_matrix/federation/(v1|v2)/query/",
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"^/_matrix/federation/(v1|v2)/make_join/",
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"^/_matrix/federation/(v1|v2)/make_leave/",
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"^/_matrix/federation/(v1|v2)/send_join/",
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"^/_matrix/federation/(v1|v2)/send_leave/",
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"^/_matrix/federation/(v1|v2)/invite/",
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"^/_matrix/federation/(v1|v2)/query_auth/",
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"^/_matrix/federation/(v1|v2)/event_auth/",
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"^/_matrix/federation/(v1|v2)/exchange_third_party_invite/",
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"^/_matrix/federation/(v1|v2)/user/devices/",
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"^/_matrix/federation/(v1|v2)/get_groups_publicised$",
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"^/_matrix/key/v2/query",
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],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"federation_inbound": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["federation"],
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"endpoint_patterns": ["/_matrix/federation/(v1|v2)/send/"],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"event_persister": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["replication"],
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"endpoint_patterns": [],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"background_worker": {
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"app": "synapse.app.generic_worker",
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"listener_resources": [],
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"endpoint_patterns": [],
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# This worker cannot be sharded. Therefore there should only ever be one background
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# worker, and it should be named background_worker1
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"shared_extra_conf": {"run_background_tasks_on": "background_worker1"},
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"worker_extra_conf": "",
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},
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"event_creator": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client"],
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"endpoint_patterns": [
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/redact",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/send",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/(join|invite|leave|ban|unban|kick)$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/join/",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/profile/",
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"^/_matrix/client/(v1|unstable/org.matrix.msc2716)/rooms/.*/batch_send",
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],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"frontend_proxy": {
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"app": "synapse.app.frontend_proxy",
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"listener_resources": ["client", "replication"],
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"endpoint_patterns": ["^/_matrix/client/(api/v1|r0|v3|unstable)/keys/upload"],
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"shared_extra_conf": {},
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"worker_extra_conf": (
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"worker_main_http_uri: http://127.0.0.1:%d"
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% (MAIN_PROCESS_HTTP_LISTENER_PORT,)
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),
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},
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}
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# Templates for sections that may be inserted multiple times in config files
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SUPERVISORD_PROCESS_CONFIG_BLOCK = """
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[program:synapse_{name}]
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command=/usr/local/bin/prefix-log /usr/local/bin/python -m {app} \
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--config-path="{config_path}" \
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--config-path=/conf/workers/shared.yaml \
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--config-path=/conf/workers/{name}.yaml
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autorestart=unexpected
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priority=500
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exitcodes=0
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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"""
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NGINX_LOCATION_CONFIG_BLOCK = """
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location ~* {endpoint} {{
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proxy_pass {upstream};
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proxy_set_header X-Forwarded-For $remote_addr;
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proxy_set_header X-Forwarded-Proto $scheme;
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proxy_set_header Host $host;
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}}
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"""
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NGINX_UPSTREAM_CONFIG_BLOCK = """
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upstream {upstream_worker_type} {{
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{body}
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}}
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"""
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# Utility functions
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def log(txt: str) -> None:
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"""Log something to the stdout.
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Args:
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txt: The text to log.
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"""
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print(txt)
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def error(txt: str) -> NoReturn:
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"""Log something and exit with an error code.
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Args:
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txt: The text to log in error.
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"""
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log(txt)
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sys.exit(2)
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def convert(src: str, dst: str, **template_vars: object) -> None:
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"""Generate a file from a template
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Args:
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src: Path to the input file.
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dst: Path to write to.
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template_vars: The arguments to replace placeholder variables in the template with.
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"""
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# Read the template file
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# We disable autoescape to prevent template variables from being escaped,
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# as we're not using HTML.
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env = Environment(loader=FileSystemLoader(os.path.dirname(src)), autoescape=False)
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template = env.get_template(os.path.basename(src))
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# Generate a string from the template.
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rendered = template.render(**template_vars)
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# Write the generated contents to a file
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#
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# We use append mode in case the files have already been written to by something else
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# (for instance, as part of the instructions in a dockerfile).
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with open(dst, "a") as outfile:
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# In case the existing file doesn't end with a newline
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outfile.write("\n")
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outfile.write(rendered)
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def add_sharding_to_shared_config(
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shared_config: dict,
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worker_type: str,
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worker_name: str,
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worker_port: int,
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) -> None:
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"""Given a dictionary representing a config file shared across all workers,
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append sharded worker information to it for the current worker_type instance.
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Args:
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shared_config: The config dict that all worker instances share (after being converted to YAML)
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worker_type: The type of worker (one of those defined in WORKERS_CONFIG).
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worker_name: The name of the worker instance.
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worker_port: The HTTP replication port that the worker instance is listening on.
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"""
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# The instance_map config field marks the workers that write to various replication streams
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instance_map = shared_config.setdefault("instance_map", {})
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# Worker-type specific sharding config
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if worker_type == "pusher":
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shared_config.setdefault("pusher_instances", []).append(worker_name)
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elif worker_type == "federation_sender":
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shared_config.setdefault("federation_sender_instances", []).append(worker_name)
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elif worker_type == "event_persister":
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# Event persisters write to the events stream, so we need to update
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# the list of event stream writers
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shared_config.setdefault("stream_writers", {}).setdefault("events", []).append(
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worker_name
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)
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# Map of stream writer instance names to host/ports combos
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instance_map[worker_name] = {
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"host": "localhost",
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"port": worker_port,
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}
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elif worker_type == "media_repository":
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# The first configured media worker will run the media background jobs
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shared_config.setdefault("media_instance_running_background_jobs", worker_name)
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def generate_base_homeserver_config() -> None:
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"""Starts Synapse and generates a basic homeserver config, which will later be
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modified for worker support.
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Raises: CalledProcessError if calling start.py returned a non-zero exit code.
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"""
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# start.py already does this for us, so just call that.
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# note that this script is copied in in the official, monolith dockerfile
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os.environ["SYNAPSE_HTTP_PORT"] = str(MAIN_PROCESS_HTTP_LISTENER_PORT)
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subprocess.check_output(["/usr/local/bin/python", "/start.py", "migrate_config"])
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def generate_worker_files(
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environ: Mapping[str, str], config_path: str, data_dir: str
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) -> None:
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"""Read the desired list of workers from environment variables and generate
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shared homeserver, nginx and supervisord configs.
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Args:
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environ: os.environ instance.
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config_path: The location of the generated Synapse main worker config file.
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data_dir: The location of the synapse data directory. Where log and
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user-facing config files live.
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"""
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# Note that yaml cares about indentation, so care should be taken to insert lines
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# into files at the correct indentation below.
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# shared_config is the contents of a Synapse config file that will be shared amongst
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# the main Synapse process as well as all workers.
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# It is intended mainly for disabling functionality when certain workers are spun up,
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# and adding a replication listener.
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# First read the original config file and extract the listeners block. Then we'll add
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# another listener for replication. Later we'll write out the result to the shared
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# config file.
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listeners = [
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{
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"port": 9093,
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"bind_address": "127.0.0.1",
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"type": "http",
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"resources": [{"names": ["replication"]}],
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}
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]
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with open(config_path) as file_stream:
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original_config = yaml.safe_load(file_stream)
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original_listeners = original_config.get("listeners")
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if original_listeners:
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listeners += original_listeners
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# The shared homeserver config. The contents of which will be inserted into the
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# base shared worker jinja2 template.
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#
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# This config file will be passed to all workers, included Synapse's main process.
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shared_config: Dict[str, Any] = {"listeners": listeners}
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# The supervisord config. The contents of which will be inserted into the
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# base supervisord jinja2 template.
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#
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# Supervisord will be in charge of running everything, from redis to nginx to Synapse
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# and all of its worker processes. Load the config template, which defines a few
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# services that are necessary to run.
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supervisord_config = ""
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# Upstreams for load-balancing purposes. This dict takes the form of a worker type to the
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# ports of each worker. For example:
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# {
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# worker_type: {1234, 1235, ...}}
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# }
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# and will be used to construct 'upstream' nginx directives.
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nginx_upstreams: Dict[str, Set[int]] = {}
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# A map of: {"endpoint": "upstream"}, where "upstream" is a str representing what will be
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# placed after the proxy_pass directive. The main benefit to representing this data as a
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# dict over a str is that we can easily deduplicate endpoints across multiple instances
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# of the same worker.
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#
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# An nginx site config that will be amended to depending on the workers that are
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# spun up. To be placed in /etc/nginx/conf.d.
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nginx_locations = {}
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# Read the desired worker configuration from the environment
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worker_types_env = environ.get("SYNAPSE_WORKER_TYPES", "").strip()
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if not worker_types_env:
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# No workers, just the main process
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worker_types = []
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else:
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# Split type names by comma
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worker_types = worker_types_env.split(",")
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# Create the worker configuration directory if it doesn't already exist
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os.makedirs("/conf/workers", exist_ok=True)
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# Start worker ports from this arbitrary port
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worker_port = 18009
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# A counter of worker_type -> int. Used for determining the name for a given
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# worker type when generating its config file, as each worker's name is just
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# worker_type + instance #
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worker_type_counter: Dict[str, int] = {}
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# A list of internal endpoints to healthcheck, starting with the main process
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# which exists even if no workers do.
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healthcheck_urls = ["http://localhost:8080/health"]
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# For each worker type specified by the user, create config values
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for worker_type in worker_types:
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worker_type = worker_type.strip()
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worker_config = WORKERS_CONFIG.get(worker_type)
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if worker_config:
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worker_config = worker_config.copy()
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else:
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log(worker_type + " is an unknown worker type! It will be ignored")
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continue
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new_worker_count = worker_type_counter.setdefault(worker_type, 0) + 1
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worker_type_counter[worker_type] = new_worker_count
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# Name workers by their type concatenated with an incrementing number
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# e.g. federation_reader1
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worker_name = worker_type + str(new_worker_count)
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worker_config.update(
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{"name": worker_name, "port": str(worker_port), "config_path": config_path}
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)
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# Update the shared config with any worker-type specific options
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shared_config.update(worker_config["shared_extra_conf"])
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healthcheck_urls.append("http://localhost:%d/health" % (worker_port,))
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# Check if more than one instance of this worker type has been specified
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worker_type_total_count = worker_types.count(worker_type)
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if worker_type_total_count > 1:
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# Update the shared config with sharding-related options if necessary
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add_sharding_to_shared_config(
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shared_config, worker_type, worker_name, worker_port
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)
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# Enable the worker in supervisord
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supervisord_config += SUPERVISORD_PROCESS_CONFIG_BLOCK.format_map(worker_config)
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# Add nginx location blocks for this worker's endpoints (if any are defined)
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for pattern in worker_config["endpoint_patterns"]:
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# Determine whether we need to load-balance this worker
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if worker_type_total_count > 1:
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# Create or add to a load-balanced upstream for this worker
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nginx_upstreams.setdefault(worker_type, set()).add(worker_port)
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# Upstreams are named after the worker_type
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upstream = "http://" + worker_type
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else:
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upstream = "http://localhost:%d" % (worker_port,)
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# Note that this endpoint should proxy to this upstream
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nginx_locations[pattern] = upstream
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# Write out the worker's logging config file
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log_config_filepath = generate_worker_log_config(environ, worker_name, data_dir)
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# Then a worker config file
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convert(
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"/conf/worker.yaml.j2",
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"/conf/workers/{name}.yaml".format(name=worker_name),
|
|
**worker_config,
|
|
worker_log_config_filepath=log_config_filepath,
|
|
)
|
|
|
|
worker_port += 1
|
|
|
|
# Build the nginx location config blocks
|
|
nginx_location_config = ""
|
|
for endpoint, upstream in nginx_locations.items():
|
|
nginx_location_config += NGINX_LOCATION_CONFIG_BLOCK.format(
|
|
endpoint=endpoint,
|
|
upstream=upstream,
|
|
)
|
|
|
|
# Determine the load-balancing upstreams to configure
|
|
nginx_upstream_config = ""
|
|
|
|
for upstream_worker_type, upstream_worker_ports in nginx_upstreams.items():
|
|
body = ""
|
|
for port in upstream_worker_ports:
|
|
body += " server localhost:%d;\n" % (port,)
|
|
|
|
# Add to the list of configured upstreams
|
|
nginx_upstream_config += NGINX_UPSTREAM_CONFIG_BLOCK.format(
|
|
upstream_worker_type=upstream_worker_type,
|
|
body=body,
|
|
)
|
|
|
|
# Finally, we'll write out the config files.
|
|
|
|
# log config for the master process
|
|
master_log_config = generate_worker_log_config(environ, "master", data_dir)
|
|
shared_config["log_config"] = master_log_config
|
|
|
|
# Find application service registrations
|
|
appservice_registrations = None
|
|
appservice_registration_dir = os.environ.get("SYNAPSE_AS_REGISTRATION_DIR")
|
|
if appservice_registration_dir:
|
|
# Scan for all YAML files that should be application service registrations.
|
|
appservice_registrations = [
|
|
str(reg_path.resolve())
|
|
for reg_path in Path(appservice_registration_dir).iterdir()
|
|
if reg_path.suffix.lower() in (".yaml", ".yml")
|
|
]
|
|
|
|
workers_in_use = len(worker_types) > 0
|
|
|
|
# Shared homeserver config
|
|
convert(
|
|
"/conf/shared.yaml.j2",
|
|
"/conf/workers/shared.yaml",
|
|
shared_worker_config=yaml.dump(shared_config),
|
|
appservice_registrations=appservice_registrations,
|
|
enable_redis=workers_in_use,
|
|
workers_in_use=workers_in_use,
|
|
)
|
|
|
|
# Nginx config
|
|
convert(
|
|
"/conf/nginx.conf.j2",
|
|
"/etc/nginx/conf.d/matrix-synapse.conf",
|
|
worker_locations=nginx_location_config,
|
|
upstream_directives=nginx_upstream_config,
|
|
tls_cert_path=os.environ.get("SYNAPSE_TLS_CERT"),
|
|
tls_key_path=os.environ.get("SYNAPSE_TLS_KEY"),
|
|
)
|
|
|
|
# Supervisord config
|
|
os.makedirs("/etc/supervisor", exist_ok=True)
|
|
convert(
|
|
"/conf/supervisord.conf.j2",
|
|
"/etc/supervisor/supervisord.conf",
|
|
main_config_path=config_path,
|
|
worker_config=supervisord_config,
|
|
enable_redis=workers_in_use,
|
|
)
|
|
|
|
# healthcheck config
|
|
convert(
|
|
"/conf/healthcheck.sh.j2",
|
|
"/healthcheck.sh",
|
|
healthcheck_urls=healthcheck_urls,
|
|
)
|
|
|
|
# Ensure the logging directory exists
|
|
log_dir = data_dir + "/logs"
|
|
if not os.path.exists(log_dir):
|
|
os.mkdir(log_dir)
|
|
|
|
|
|
def generate_worker_log_config(
|
|
environ: Mapping[str, str], worker_name: str, data_dir: str
|
|
) -> str:
|
|
"""Generate a log.config file for the given worker.
|
|
|
|
Returns: the path to the generated file
|
|
"""
|
|
# Check whether we should write worker logs to disk, in addition to the console
|
|
extra_log_template_args = {}
|
|
if environ.get("SYNAPSE_WORKERS_WRITE_LOGS_TO_DISK"):
|
|
extra_log_template_args["LOG_FILE_PATH"] = "{dir}/logs/{name}.log".format(
|
|
dir=data_dir, name=worker_name
|
|
)
|
|
# Render and write the file
|
|
log_config_filepath = "/conf/workers/{name}.log.config".format(name=worker_name)
|
|
convert(
|
|
"/conf/log.config",
|
|
log_config_filepath,
|
|
worker_name=worker_name,
|
|
**extra_log_template_args,
|
|
)
|
|
return log_config_filepath
|
|
|
|
|
|
def main(args: List[str], environ: MutableMapping[str, str]) -> None:
|
|
config_dir = environ.get("SYNAPSE_CONFIG_DIR", "/data")
|
|
config_path = environ.get("SYNAPSE_CONFIG_PATH", config_dir + "/homeserver.yaml")
|
|
data_dir = environ.get("SYNAPSE_DATA_DIR", "/data")
|
|
|
|
# override SYNAPSE_NO_TLS, we don't support TLS in worker mode,
|
|
# this needs to be handled by a frontend proxy
|
|
environ["SYNAPSE_NO_TLS"] = "yes"
|
|
|
|
# Generate the base homeserver config if one does not yet exist
|
|
if not os.path.exists(config_path):
|
|
log("Generating base homeserver config")
|
|
generate_base_homeserver_config()
|
|
|
|
# This script may be run multiple times (mostly by Complement, see note at top of file).
|
|
# Don't re-configure workers in this instance.
|
|
mark_filepath = "/conf/workers_have_been_configured"
|
|
if not os.path.exists(mark_filepath):
|
|
# Always regenerate all other config files
|
|
generate_worker_files(environ, config_path, data_dir)
|
|
|
|
# Mark workers as being configured
|
|
with open(mark_filepath, "w") as f:
|
|
f.write("")
|
|
|
|
# Start supervisord, which will start Synapse, all of the configured worker
|
|
# processes, redis, nginx etc. according to the config we created above.
|
|
log("Starting supervisord")
|
|
os.execl(
|
|
"/usr/local/bin/supervisord",
|
|
"supervisord",
|
|
"-c",
|
|
"/etc/supervisor/supervisord.conf",
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main(sys.argv, os.environ)
|