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# -*- coding: utf-8 -*-
# Copyright 2016 matrix.org
#
# 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.
import collections
from ._base import Config
from .server import read_gc_thresholds
Worker = collections.namedtuple("Worker", [
"app",
"listeners",
"pid_file",
"daemonize",
"log_file",
"log_config",
"event_cache_size",
"soft_file_limit",
"gc_thresholds",
"replication_url",
])
def read_worker_config(config):
return Worker(
app=config["app"],
listeners=config.get("listeners", []),
pid_file=config.get("pid_file"),
daemonize=config["daemonize"],
log_file=config.get("log_file"),
log_config=config.get("log_config"),
event_cache_size=Config.parse_size(config.get("event_cache_size", "10K")),
soft_file_limit=config.get("soft_file_limit"),
gc_thresholds=read_gc_thresholds(config.get("gc_thresholds")),
replication_url=config.get("replication_url"),
)
class WorkerConfig(Config):
"""The workers are processes run separately to the main synapse process.
Each worker has a name that identifies it within the config file.
They have their own pid_file and listener configuration. They use the
replication_url to talk to the main synapse process. They have their
own cache size tuning, gc threshold tuning and open file limits."""
def read_config(self, config):
workers = config.get("workers", {})
self.workers = {
worker_name: read_worker_config(worker_config)
for worker_name, worker_config in workers.items()
}
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