synapse-old/synapse/config/workers.py

200 lines
7.5 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2016 OpenMarket Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import List, Union
import attr
from ._base import Config, ConfigError, ShardedWorkerHandlingConfig
from .server import ListenerConfig, parse_listener_def
def _instance_to_list_converter(obj: Union[str, List[str]]) -> List[str]:
"""Helper for allowing parsing a string or list of strings to a config
option expecting a list of strings.
"""
if isinstance(obj, str):
return [obj]
return obj
@attr.s
class InstanceLocationConfig:
"""The host and port to talk to an instance via HTTP replication.
"""
host = attr.ib(type=str)
port = attr.ib(type=int)
@attr.s
class WriterLocations:
"""Specifies the instances that write various streams.
Attributes:
events: The instances that write to the event and backfill streams.
typing: The instance that writes to the typing stream.
"""
events = attr.ib(
default=["master"], type=List[str], converter=_instance_to_list_converter
)
typing = attr.ib(default="master", type=str)
class WorkerConfig(Config):
"""The workers are processes run separately to the main synapse process.
They have their own pid_file and listener configuration. They use the
replication_url to talk to the main synapse process."""
section = "worker"
def read_config(self, config, **kwargs):
self.worker_app = config.get("worker_app")
# Canonicalise worker_app so that master always has None
if self.worker_app == "synapse.app.homeserver":
self.worker_app = None
self.worker_listeners = [
parse_listener_def(x) for x in config.get("worker_listeners", [])
]
self.worker_daemonize = config.get("worker_daemonize")
self.worker_pid_file = config.get("worker_pid_file")
self.worker_log_config = config.get("worker_log_config")
# The host used to connect to the main synapse
self.worker_replication_host = config.get("worker_replication_host", None)
# The port on the main synapse for TCP replication
self.worker_replication_port = config.get("worker_replication_port", None)
# The port on the main synapse for HTTP replication endpoint
self.worker_replication_http_port = config.get("worker_replication_http_port")
self.worker_name = config.get("worker_name", self.worker_app)
self.worker_main_http_uri = config.get("worker_main_http_uri", None)
# This option is really only here to support `--manhole` command line
# argument.
manhole = config.get("worker_manhole")
if manhole:
self.worker_listeners.append(
ListenerConfig(
port=manhole, bind_addresses=["127.0.0.1"], type="manhole",
)
)
# Whether to send federation traffic out in this process. This only
# applies to some federation traffic, and so shouldn't be used to
# "disable" federation
self.send_federation = config.get("send_federation", True)
federation_sender_instances = config.get("federation_sender_instances") or []
self.federation_shard_config = ShardedWorkerHandlingConfig(
federation_sender_instances
)
# A map from instance name to host/port of their HTTP replication endpoint.
instance_map = config.get("instance_map") or {}
self.instance_map = {
name: InstanceLocationConfig(**c) for name, c in instance_map.items()
}
# Map from type of streams to source, c.f. WriterLocations.
writers = config.get("stream_writers") or {}
self.writers = WriterLocations(**writers)
# Check that the configured writers for events and typing also appears in
# `instance_map`.
for stream in ("events", "typing"):
instances = _instance_to_list_converter(getattr(self.writers, stream))
for instance in instances:
if instance != "master" and instance not in self.instance_map:
raise ConfigError(
"Instance %r is configured to write %s but does not appear in `instance_map` config."
% (instance, stream)
)
self.events_shard_config = ShardedWorkerHandlingConfig(self.writers.events)
# Whether this worker should run background tasks or not.
#
# As a note for developers, the background tasks guarded by this should
# be able to run on only a single instance (meaning that they don't
# depend on any in-memory state of a particular worker).
#
# No effort is made to ensure only a single instance of these tasks is
# running.
background_tasks_instance = config.get("run_background_tasks_on") or "master"
self.run_background_tasks = (
self.worker_name is None and background_tasks_instance == "master"
) or self.worker_name == background_tasks_instance
def generate_config_section(self, config_dir_path, server_name, **kwargs):
return """\
## Workers ##
# Disables sending of outbound federation transactions on the main process.
# Uncomment if using a federation sender worker.
#
#send_federation: false
# It is possible to run multiple federation sender workers, in which case the
# work is balanced across them.
#
# This configuration must be shared between all federation sender workers, and if
# changed all federation sender workers must be stopped at the same time and then
# started, to ensure that all instances are running with the same config (otherwise
# events may be dropped).
#
#federation_sender_instances:
# - federation_sender1
# When using workers this should be a map from `worker_name` to the
# HTTP replication listener of the worker, if configured.
#
#instance_map:
# worker1:
# host: localhost
# port: 8034
# Experimental: When using workers you can define which workers should
# handle event persistence and typing notifications. Any worker
# specified here must also be in the `instance_map`.
#
#stream_writers:
# events: worker1
# typing: worker1
# The worker that is used to run background tasks (e.g. cleaning up expired
# data). If not provided this defaults to the main process.
#
#run_background_tasks_on: worker1
"""
def read_arguments(self, args):
# We support a bunch of command line arguments that override options in
# the config. A lot of these options have a worker_* prefix when running
# on workers so we also have to override them when command line options
# are specified.
if args.daemonize is not None:
self.worker_daemonize = args.daemonize
if args.manhole is not None:
self.worker_manhole = args.worker_manhole