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1015 lines
40 KiB
Python
Executable File
1015 lines
40 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 WORKERS_CONFIG
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# below. Leave empty for no workers. Add a ':' and a number at the end to
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# multiply that worker. Append multiple worker types with '+' to merge the
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# worker types into a single worker. Add a name and a '=' to the front of a
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# worker type to give this instance a name in logs and nginx.
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# Examples:
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# SYNAPSE_WORKER_TYPES='event_persister, federation_sender, client_reader'
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# SYNAPSE_WORKER_TYPES='event_persister:2, federation_sender:2, client_reader'
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# SYNAPSE_WORKER_TYPES='stream_writers=account_data+presence+typing'
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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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# * SYNAPSE_USE_EXPERIMENTAL_FORKING_LAUNCHER: Whether to use the forking launcher,
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# only intended for usage in Complement at the moment.
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# No stability guarantees are provided.
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# * SYNAPSE_LOG_LEVEL: Set this to DEBUG, INFO, WARNING or ERROR to change the
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# log level. INFO is the default.
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# * SYNAPSE_LOG_SENSITIVE: If unset, SQL and SQL values won't be logged,
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# regardless of the SYNAPSE_LOG_LEVEL setting.
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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 platform
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import re
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import subprocess
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import sys
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from collections import defaultdict
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from itertools import chain
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from pathlib import Path
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from typing import (
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Any,
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Dict,
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List,
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Mapping,
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MutableMapping,
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NoReturn,
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Optional,
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Set,
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SupportsIndex,
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)
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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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# A simple name used as a placeholder in the WORKERS_CONFIG below. This will be replaced
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# during processing with the name of the worker.
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WORKER_PLACEHOLDER_NAME = "placeholder_name"
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# Workers with exposed endpoints needs either "client", "federation", or "media" listener_resources
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# Watching /_matrix/client needs a "client" listener
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# Watching /_matrix/federation needs a "federation" listener
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# Watching /_matrix/media and related needs a "media" listener
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# Stream Writers require "client" and "replication" listeners because they
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# have to attach by instance_map to the master process and have client endpoints.
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WORKERS_CONFIG: Dict[str, Dict[str, Any]] = {
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"pusher": {
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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": {},
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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$"
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],
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"shared_extra_conf": {
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"update_user_directory_from_worker": WORKER_PLACEHOLDER_NAME
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},
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"worker_extra_conf": "",
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},
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"media_repository": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["media"],
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"endpoint_patterns": [
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"^/_matrix/media/",
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"^/_synapse/admin/v1/purge_media_cache$",
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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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# The first configured media worker will run the media background jobs
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"shared_extra_conf": {
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"enable_media_repo": False,
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"media_instance_running_background_jobs": WORKER_PLACEHOLDER_NAME,
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},
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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": {
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"notify_appservices_from_worker": WORKER_PLACEHOLDER_NAME
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},
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"worker_extra_conf": "",
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},
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"federation_sender": {
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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": {},
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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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"client_reader": {
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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)/publicRooms$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/joined_members$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/context/.*$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/members$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/state$",
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"^/_matrix/client/v1/rooms/.*/hierarchy$",
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"^/_matrix/client/(v1|unstable)/rooms/.*/relations/",
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"^/_matrix/client/v1/rooms/.*/threads$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/login$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/account/3pid$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/account/whoami$",
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"^/_matrix/client/versions$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/voip/turnServer$",
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"^/_matrix/client/(r0|v3|unstable)/register$",
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"^/_matrix/client/(r0|v3|unstable)/auth/.*/fallback/web$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/messages$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/event",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/joined_rooms",
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"^/_matrix/client/(api/v1|r0|v3|unstable/.*)/rooms/.*/aliases",
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"^/_matrix/client/v1/rooms/.*/timestamp_to_event$",
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"^/_matrix/client/(api/v1|r0|v3|unstable)/search",
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"^/_matrix/client/(r0|v3|unstable)/user/.*/filter(/|$)",
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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/timestamp_to_event/",
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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
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# background worker. This is enforced for the safety of your database.
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"shared_extra_conf": {"run_background_tasks_on": WORKER_PLACEHOLDER_NAME},
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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)/knock/",
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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.generic_worker",
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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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},
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"account_data": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client", "replication"],
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"endpoint_patterns": [
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"^/_matrix/client/(r0|v3|unstable)/.*/tags",
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"^/_matrix/client/(r0|v3|unstable)/.*/account_data",
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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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"presence": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client", "replication"],
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"endpoint_patterns": ["^/_matrix/client/(api/v1|r0|v3|unstable)/presence/"],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"receipts": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client", "replication"],
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"endpoint_patterns": [
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"^/_matrix/client/(r0|v3|unstable)/rooms/.*/receipt",
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"^/_matrix/client/(r0|v3|unstable)/rooms/.*/read_markers",
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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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"to_device": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client", "replication"],
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"endpoint_patterns": ["^/_matrix/client/(r0|v3|unstable)/sendToDevice/"],
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"shared_extra_conf": {},
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"worker_extra_conf": "",
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},
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"typing": {
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"app": "synapse.app.generic_worker",
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"listener_resources": ["client", "replication"],
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"endpoint_patterns": [
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"^/_matrix/client/(api/v1|r0|v3|unstable)/rooms/.*/typing"
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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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}
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# Templates for sections that may be inserted multiple times in config files
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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_base_name} {{
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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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print(txt)
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def error(txt: str) -> NoReturn:
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print(txt, file=sys.stderr)
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sys.exit(2)
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def flush_buffers() -> None:
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sys.stdout.flush()
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sys.stderr.flush()
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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_worker_roles_to_shared_config(
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shared_config: dict,
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worker_types_set: Set[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 appropriate 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
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converted to YAML)
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worker_types_set: The type of worker (one of those defined in WORKERS_CONFIG).
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This list can be a single worker type or multiple.
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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
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# streams
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instance_map = shared_config.setdefault("instance_map", {})
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# This is a list of the stream_writers that there can be only one of. Events can be
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# sharded, and therefore doesn't belong here.
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singular_stream_writers = [
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"account_data",
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"presence",
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"receipts",
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"to_device",
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"typing",
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]
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# Worker-type specific sharding config. Now a single worker can fulfill multiple
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# roles, check each.
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if "pusher" in worker_types_set:
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shared_config.setdefault("pusher_instances", []).append(worker_name)
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if "federation_sender" in worker_types_set:
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shared_config.setdefault("federation_sender_instances", []).append(worker_name)
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if "event_persister" in worker_types_set:
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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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# Update the list of stream writers. It's convenient that the name of the worker
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# type is the same as the stream to write. Iterate over the whole list in case there
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# is more than one.
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for worker in worker_types_set:
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if worker in singular_stream_writers:
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shared_config.setdefault("stream_writers", {}).setdefault(
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worker, []
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).append(worker_name)
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# Map of stream writer instance names to host/ports combos
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# For now, all stream writers need http replication ports
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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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def merge_worker_template_configs(
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existing_dict: Optional[Dict[str, Any]],
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to_be_merged_dict: Dict[str, Any],
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) -> Dict[str, Any]:
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"""When given an existing dict of worker template configuration consisting with both
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dicts and lists, merge new template data from WORKERS_CONFIG(or create) and
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return new dict.
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Args:
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existing_dict: Either an existing worker template or a fresh blank one.
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to_be_merged_dict: The template from WORKERS_CONFIGS to be merged into
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existing_dict.
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Returns: The newly merged together dict values.
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"""
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new_dict: Dict[str, Any] = {}
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if not existing_dict:
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# It doesn't exist yet, just use the new dict(but take a copy not a reference)
|
|
new_dict = to_be_merged_dict.copy()
|
|
else:
|
|
for i in to_be_merged_dict.keys():
|
|
if (i == "endpoint_patterns") or (i == "listener_resources"):
|
|
# merge the two lists, remove duplicates
|
|
new_dict[i] = list(set(existing_dict[i] + to_be_merged_dict[i]))
|
|
elif i == "shared_extra_conf":
|
|
# merge dictionary's, the worker name will be replaced later
|
|
new_dict[i] = {**existing_dict[i], **to_be_merged_dict[i]}
|
|
elif i == "worker_extra_conf":
|
|
# There is only one worker type that has a 'worker_extra_conf' and it is
|
|
# the media_repo. Since duplicate worker types on the same worker don't
|
|
# work, this is fine.
|
|
new_dict[i] = existing_dict[i] + to_be_merged_dict[i]
|
|
else:
|
|
# Everything else should be identical, like "app", which only works
|
|
# because all apps are now generic_workers.
|
|
new_dict[i] = to_be_merged_dict[i]
|
|
return new_dict
|
|
|
|
|
|
def insert_worker_name_for_worker_config(
|
|
existing_dict: Dict[str, Any], worker_name: str
|
|
) -> Dict[str, Any]:
|
|
"""Insert a given worker name into the worker's configuration dict.
|
|
|
|
Args:
|
|
existing_dict: The worker_config dict that is imported into shared_config.
|
|
worker_name: The name of the worker to insert.
|
|
Returns: Copy of the dict with newly inserted worker name
|
|
"""
|
|
dict_to_edit = existing_dict.copy()
|
|
for k, v in dict_to_edit["shared_extra_conf"].items():
|
|
# Only proceed if it's the placeholder name string
|
|
if v == WORKER_PLACEHOLDER_NAME:
|
|
dict_to_edit["shared_extra_conf"][k] = worker_name
|
|
return dict_to_edit
|
|
|
|
|
|
def apply_requested_multiplier_for_worker(worker_types: List[str]) -> List[str]:
|
|
"""
|
|
Apply multiplier(if found) by returning a new expanded list with some basic error
|
|
checking.
|
|
|
|
Args:
|
|
worker_types: The unprocessed List of requested workers
|
|
Returns:
|
|
A new list with all requested workers expanded.
|
|
"""
|
|
# Checking performed:
|
|
# 1. if worker:2 or more is declared, it will create additional workers up to number
|
|
# 2. if worker:1, it will create a single copy of this worker as if no number was
|
|
# given
|
|
# 3. if worker:0 is declared, this worker will be ignored. This is to allow for
|
|
# scripting and automated expansion and is intended behaviour.
|
|
# 4. if worker:NaN or is a negative number, it will error and log it.
|
|
new_worker_types = []
|
|
for worker_type in worker_types:
|
|
if ":" in worker_type:
|
|
worker_type_components = split_and_strip_string(worker_type, ":", 1)
|
|
worker_count = 0
|
|
# Should only be 2 components, a type of worker(s) and an integer as a
|
|
# string. Cast the number as an int then it can be used as a counter.
|
|
try:
|
|
worker_count = int(worker_type_components[1])
|
|
except ValueError:
|
|
error(
|
|
f"Bad number in worker count for '{worker_type}': "
|
|
f"'{worker_type_components[1]}' is not an integer"
|
|
)
|
|
|
|
# As long as there are more than 0, we add one to the list to make below.
|
|
for _ in range(worker_count):
|
|
new_worker_types.append(worker_type_components[0])
|
|
|
|
else:
|
|
# If it's not a real worker_type, it will error out later.
|
|
new_worker_types.append(worker_type)
|
|
return new_worker_types
|
|
|
|
|
|
def is_sharding_allowed_for_worker_type(worker_type: str) -> bool:
|
|
"""Helper to check to make sure worker types that cannot have multiples do not.
|
|
|
|
Args:
|
|
worker_type: The type of worker to check against.
|
|
Returns: True if allowed, False if not
|
|
"""
|
|
return worker_type not in [
|
|
"background_worker",
|
|
"account_data",
|
|
"presence",
|
|
"receipts",
|
|
"typing",
|
|
"to_device",
|
|
]
|
|
|
|
|
|
def split_and_strip_string(
|
|
given_string: str, split_char: str, max_split: SupportsIndex = -1
|
|
) -> List[str]:
|
|
"""
|
|
Helper to split a string on split_char and strip whitespace from each end of each
|
|
element.
|
|
Args:
|
|
given_string: The string to split
|
|
split_char: The character to split the string on
|
|
max_split: kwarg for split() to limit how many times the split() happens
|
|
Returns:
|
|
A List of strings
|
|
"""
|
|
# Removes whitespace from ends of result strings before adding to list. Allow for
|
|
# overriding 'maxsplit' kwarg, default being -1 to signify no maximum.
|
|
return [x.strip() for x in given_string.split(split_char, maxsplit=max_split)]
|
|
|
|
|
|
def generate_base_homeserver_config() -> None:
|
|
"""Starts Synapse and generates a basic homeserver config, which will later be
|
|
modified for worker support.
|
|
|
|
Raises: CalledProcessError if calling start.py returned a non-zero exit code.
|
|
"""
|
|
# start.py already does this for us, so just call that.
|
|
# note that this script is copied in in the official, monolith dockerfile
|
|
os.environ["SYNAPSE_HTTP_PORT"] = str(MAIN_PROCESS_HTTP_LISTENER_PORT)
|
|
subprocess.run(["/usr/local/bin/python", "/start.py", "migrate_config"], check=True)
|
|
|
|
|
|
def parse_worker_types(
|
|
requested_worker_types: List[str],
|
|
) -> Dict[str, Set[str]]:
|
|
"""Read the desired list of requested workers and prepare the data for use in
|
|
generating worker config files while also checking for potential gotchas.
|
|
|
|
Args:
|
|
requested_worker_types: The list formed from the split environment variable
|
|
containing the unprocessed requests for workers.
|
|
|
|
Returns: A dict of worker names to set of worker types. Format:
|
|
{'worker_name':
|
|
{'worker_type', 'worker_type2'}
|
|
}
|
|
"""
|
|
# A counter of worker_base_name -> int. Used for determining the name for a given
|
|
# worker when generating its config file, as each worker's name is just
|
|
# worker_base_name followed by instance number
|
|
worker_base_name_counter: Dict[str, int] = defaultdict(int)
|
|
|
|
# Similar to above, but more finely grained. This is used to determine we don't have
|
|
# more than a single worker for cases where multiples would be bad(e.g. presence).
|
|
worker_type_shard_counter: Dict[str, int] = defaultdict(int)
|
|
|
|
# The final result of all this processing
|
|
dict_to_return: Dict[str, Set[str]] = {}
|
|
|
|
# Handle any multipliers requested for given workers.
|
|
multiple_processed_worker_types = apply_requested_multiplier_for_worker(
|
|
requested_worker_types
|
|
)
|
|
|
|
# Process each worker_type_string
|
|
# Examples of expected formats:
|
|
# - requested_name=type1+type2+type3
|
|
# - synchrotron
|
|
# - event_creator+event_persister
|
|
for worker_type_string in multiple_processed_worker_types:
|
|
# First, if a name is requested, use that — otherwise generate one.
|
|
worker_base_name: str = ""
|
|
if "=" in worker_type_string:
|
|
# Split on "=", remove extra whitespace from ends then make list
|
|
worker_type_split = split_and_strip_string(worker_type_string, "=")
|
|
if len(worker_type_split) > 2:
|
|
error(
|
|
"There should only be one '=' in the worker type string. "
|
|
f"Please fix: {worker_type_string}"
|
|
)
|
|
|
|
# Assign the name
|
|
worker_base_name = worker_type_split[0]
|
|
|
|
if not re.match(r"^[a-zA-Z0-9_+-]*[a-zA-Z_+-]$", worker_base_name):
|
|
# Apply a fairly narrow regex to the worker names. Some characters
|
|
# aren't safe for use in file paths or nginx configurations.
|
|
# Don't allow to end with a number because we'll add a number
|
|
# ourselves in a moment.
|
|
error(
|
|
"Invalid worker name; please choose a name consisting of "
|
|
"alphanumeric letters, _ + -, but not ending with a digit: "
|
|
f"{worker_base_name!r}"
|
|
)
|
|
|
|
# Continue processing the remainder of the worker_type string
|
|
# with the name override removed.
|
|
worker_type_string = worker_type_split[1]
|
|
|
|
# Split the worker_type_string on "+", remove whitespace from ends then make
|
|
# the list a set so it's deduplicated.
|
|
worker_types_set: Set[str] = set(
|
|
split_and_strip_string(worker_type_string, "+")
|
|
)
|
|
|
|
if not worker_base_name:
|
|
# No base name specified: generate one deterministically from set of
|
|
# types
|
|
worker_base_name = "+".join(sorted(worker_types_set))
|
|
|
|
# At this point, we have:
|
|
# worker_base_name which is the name for the worker, without counter.
|
|
# worker_types_set which is the set of worker types for this worker.
|
|
|
|
# Validate worker_type and make sure we don't allow sharding for a worker type
|
|
# that doesn't support it. Will error and stop if it is a problem,
|
|
# e.g. 'background_worker'.
|
|
for worker_type in worker_types_set:
|
|
# Verify this is a real defined worker type. If it's not, stop everything so
|
|
# it can be fixed.
|
|
if worker_type not in WORKERS_CONFIG:
|
|
error(
|
|
f"{worker_type} is an unknown worker type! Was found in "
|
|
f"'{worker_type_string}'. Please fix!"
|
|
)
|
|
|
|
if worker_type in worker_type_shard_counter:
|
|
if not is_sharding_allowed_for_worker_type(worker_type):
|
|
error(
|
|
f"There can be only a single worker with {worker_type} "
|
|
"type. Please recount and remove."
|
|
)
|
|
# Not in shard counter, must not have seen it yet, add it.
|
|
worker_type_shard_counter[worker_type] += 1
|
|
|
|
# Generate the number for the worker using incrementing counter
|
|
worker_base_name_counter[worker_base_name] += 1
|
|
worker_number = worker_base_name_counter[worker_base_name]
|
|
worker_name = f"{worker_base_name}{worker_number}"
|
|
|
|
if worker_number > 1:
|
|
# If this isn't the first worker, check that we don't have a confusing
|
|
# mixture of worker types with the same base name.
|
|
first_worker_with_base_name = dict_to_return[f"{worker_base_name}1"]
|
|
if first_worker_with_base_name != worker_types_set:
|
|
error(
|
|
f"Can not use worker_name: '{worker_name}' for worker_type(s): "
|
|
f"{worker_types_set!r}. It is already in use by "
|
|
f"worker_type(s): {first_worker_with_base_name!r}"
|
|
)
|
|
|
|
dict_to_return[worker_name] = worker_types_set
|
|
|
|
return dict_to_return
|
|
|
|
|
|
def generate_worker_files(
|
|
environ: Mapping[str, str],
|
|
config_path: str,
|
|
data_dir: str,
|
|
requested_worker_types: Dict[str, Set[str]],
|
|
) -> None:
|
|
"""Read the desired workers(if any) that is passed in and generate shared
|
|
homeserver, nginx and supervisord configs.
|
|
|
|
Args:
|
|
environ: os.environ instance.
|
|
config_path: The location of the generated Synapse main worker config file.
|
|
data_dir: The location of the synapse data directory. Where log and
|
|
user-facing config files live.
|
|
requested_worker_types: A Dict containing requested workers in the format of
|
|
{'worker_name1': {'worker_type', ...}}
|
|
"""
|
|
# Note that yaml cares about indentation, so care should be taken to insert lines
|
|
# into files at the correct indentation below.
|
|
|
|
# First read the original config file and extract the listeners block. Then we'll
|
|
# add another listener for replication. Later we'll write out the result to the
|
|
# shared config file.
|
|
listeners = [
|
|
{
|
|
"port": 9093,
|
|
"bind_address": "127.0.0.1",
|
|
"type": "http",
|
|
"resources": [{"names": ["replication"]}],
|
|
}
|
|
]
|
|
with open(config_path) as file_stream:
|
|
original_config = yaml.safe_load(file_stream)
|
|
original_listeners = original_config.get("listeners")
|
|
if original_listeners:
|
|
listeners += original_listeners
|
|
|
|
# The shared homeserver config. The contents of which will be inserted into the
|
|
# base shared worker jinja2 template. This config file will be passed to all
|
|
# workers, included Synapse's main process. It is intended mainly for disabling
|
|
# functionality when certain workers are spun up, and adding a replication listener.
|
|
shared_config: Dict[str, Any] = {"listeners": listeners}
|
|
|
|
# List of dicts that describe workers.
|
|
# We pass this to the Supervisor template later to generate the appropriate
|
|
# program blocks.
|
|
worker_descriptors: List[Dict[str, Any]] = []
|
|
|
|
# Upstreams for load-balancing purposes. This dict takes the form of the worker
|
|
# type to the ports of each worker. For example:
|
|
# {
|
|
# worker_type: {1234, 1235, ...}}
|
|
# }
|
|
# and will be used to construct 'upstream' nginx directives.
|
|
nginx_upstreams: Dict[str, Set[int]] = {}
|
|
|
|
# A map of: {"endpoint": "upstream"}, where "upstream" is a str representing what
|
|
# will be placed after the proxy_pass directive. The main benefit to representing
|
|
# this data as a dict over a str is that we can easily deduplicate endpoints
|
|
# across multiple instances of the same worker. The final rendering will be combined
|
|
# with nginx_upstreams and placed in /etc/nginx/conf.d.
|
|
nginx_locations: Dict[str, str] = {}
|
|
|
|
# Create the worker configuration directory if it doesn't already exist
|
|
os.makedirs("/conf/workers", exist_ok=True)
|
|
|
|
# Start worker ports from this arbitrary port
|
|
worker_port = 18009
|
|
|
|
# A list of internal endpoints to healthcheck, starting with the main process
|
|
# which exists even if no workers do.
|
|
healthcheck_urls = ["http://localhost:8080/health"]
|
|
|
|
# Get the set of all worker types that we have configured
|
|
all_worker_types_in_use = set(chain(*requested_worker_types.values()))
|
|
# Map locations to upstreams (corresponding to worker types) in Nginx
|
|
# but only if we use the appropriate worker type
|
|
for worker_type in all_worker_types_in_use:
|
|
for endpoint_pattern in WORKERS_CONFIG[worker_type]["endpoint_patterns"]:
|
|
nginx_locations[endpoint_pattern] = f"http://{worker_type}"
|
|
|
|
# For each worker type specified by the user, create config values and write it's
|
|
# yaml config file
|
|
for worker_name, worker_types_set in requested_worker_types.items():
|
|
# The collected and processed data will live here.
|
|
worker_config: Dict[str, Any] = {}
|
|
|
|
# Merge all worker config templates for this worker into a single config
|
|
for worker_type in worker_types_set:
|
|
copy_of_template_config = WORKERS_CONFIG[worker_type].copy()
|
|
|
|
# Merge worker type template configuration data. It's a combination of lists
|
|
# and dicts, so use this helper.
|
|
worker_config = merge_worker_template_configs(
|
|
worker_config, copy_of_template_config
|
|
)
|
|
|
|
# Replace placeholder names in the config template with the actual worker name.
|
|
worker_config = insert_worker_name_for_worker_config(worker_config, worker_name)
|
|
|
|
worker_config.update(
|
|
{"name": worker_name, "port": str(worker_port), "config_path": config_path}
|
|
)
|
|
|
|
# Update the shared config with any worker_type specific options. The first of a
|
|
# given worker_type needs to stay assigned and not be replaced.
|
|
worker_config["shared_extra_conf"].update(shared_config)
|
|
shared_config = worker_config["shared_extra_conf"]
|
|
|
|
healthcheck_urls.append("http://localhost:%d/health" % (worker_port,))
|
|
|
|
# Update the shared config with sharding-related options if necessary
|
|
add_worker_roles_to_shared_config(
|
|
shared_config, worker_types_set, worker_name, worker_port
|
|
)
|
|
|
|
# Enable the worker in supervisord
|
|
worker_descriptors.append(worker_config)
|
|
|
|
# Write out the worker's logging config file
|
|
log_config_filepath = generate_worker_log_config(environ, worker_name, data_dir)
|
|
|
|
# Then a worker config file
|
|
convert(
|
|
"/conf/worker.yaml.j2",
|
|
"/conf/workers/{name}.yaml".format(name=worker_name),
|
|
**worker_config,
|
|
worker_log_config_filepath=log_config_filepath,
|
|
)
|
|
|
|
# Save this worker's port number to the correct nginx upstreams
|
|
for worker_type in worker_types_set:
|
|
nginx_upstreams.setdefault(worker_type, set()).add(worker_port)
|
|
|
|
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_base_name, upstream_worker_ports in nginx_upstreams.items():
|
|
body = ""
|
|
for port in upstream_worker_ports:
|
|
body += f" server localhost:{port};\n"
|
|
|
|
# Add to the list of configured upstreams
|
|
nginx_upstream_config += NGINX_UPSTREAM_CONFIG_BLOCK.format(
|
|
upstream_worker_base_name=upstream_worker_base_name,
|
|
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(requested_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,
|
|
enable_redis=workers_in_use,
|
|
)
|
|
|
|
convert(
|
|
"/conf/synapse.supervisord.conf.j2",
|
|
"/etc/supervisor/conf.d/synapse.conf",
|
|
workers=worker_descriptors,
|
|
main_config_path=config_path,
|
|
use_forking_launcher=environ.get("SYNAPSE_USE_EXPERIMENTAL_FORKING_LAUNCHER"),
|
|
)
|
|
|
|
# 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: Dict[str, Optional[str]] = {}
|
|
if environ.get("SYNAPSE_WORKERS_WRITE_LOGS_TO_DISK"):
|
|
extra_log_template_args["LOG_FILE_PATH"] = f"{data_dir}/logs/{worker_name}.log"
|
|
|
|
extra_log_template_args["SYNAPSE_LOG_LEVEL"] = environ.get("SYNAPSE_LOG_LEVEL")
|
|
extra_log_template_args["SYNAPSE_LOG_SENSITIVE"] = environ.get(
|
|
"SYNAPSE_LOG_SENSITIVE"
|
|
)
|
|
|
|
# Render and write the file
|
|
log_config_filepath = f"/conf/workers/{worker_name}.log.config"
|
|
convert(
|
|
"/conf/log.config",
|
|
log_config_filepath,
|
|
worker_name=worker_name,
|
|
**extra_log_template_args,
|
|
include_worker_name_in_log_line=environ.get(
|
|
"SYNAPSE_USE_EXPERIMENTAL_FORKING_LAUNCHER"
|
|
),
|
|
)
|
|
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()
|
|
else:
|
|
log("Base homeserver config exists—not regenerating")
|
|
# 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):
|
|
# Collect and validate worker_type requests
|
|
# Read the desired worker configuration from the environment
|
|
worker_types_env = environ.get("SYNAPSE_WORKER_TYPES", "").strip()
|
|
# Only process worker_types if they exist
|
|
if not worker_types_env:
|
|
# No workers, just the main process
|
|
worker_types = []
|
|
requested_worker_types: Dict[str, Any] = {}
|
|
else:
|
|
# Split type names by comma, ignoring whitespace.
|
|
worker_types = split_and_strip_string(worker_types_env, ",")
|
|
requested_worker_types = parse_worker_types(worker_types)
|
|
|
|
# Always regenerate all other config files
|
|
log("Generating worker config files")
|
|
generate_worker_files(environ, config_path, data_dir, requested_worker_types)
|
|
|
|
# Mark workers as being configured
|
|
with open(mark_filepath, "w") as f:
|
|
f.write("")
|
|
else:
|
|
log("Worker config exists—not regenerating")
|
|
|
|
# Lifted right out of start.py
|
|
jemallocpath = "/usr/lib/%s-linux-gnu/libjemalloc.so.2" % (platform.machine(),)
|
|
|
|
if os.path.isfile(jemallocpath):
|
|
environ["LD_PRELOAD"] = jemallocpath
|
|
else:
|
|
log("Could not find %s, will not use" % (jemallocpath,))
|
|
|
|
# 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")
|
|
flush_buffers()
|
|
os.execle(
|
|
"/usr/local/bin/supervisord",
|
|
"supervisord",
|
|
"-c",
|
|
"/etc/supervisor/supervisord.conf",
|
|
environ,
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main(sys.argv, os.environ)
|