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00b24aa545
This modifies the configuration of structured logging to be usable from the standard Python logging configuration. This also separates the formatting of logs from the transport allowing JSON logs to files or standard logs to sockets.
160 lines
5.1 KiB
Python
160 lines
5.1 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2019 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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import os.path
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from typing import Any, Dict, Generator, Optional, Tuple
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from constantly import NamedConstant, Names
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from synapse.config._base import ConfigError
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class DrainType(Names):
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CONSOLE = NamedConstant()
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CONSOLE_JSON = NamedConstant()
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CONSOLE_JSON_TERSE = NamedConstant()
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FILE = NamedConstant()
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FILE_JSON = NamedConstant()
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NETWORK_JSON_TERSE = NamedConstant()
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DEFAULT_LOGGERS = {"synapse": {"level": "info"}}
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def parse_drain_configs(
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drains: dict,
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) -> Generator[Tuple[str, Dict[str, Any]], None, None]:
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"""
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Parse the drain configurations.
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Args:
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drains (dict): A list of drain configurations.
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Yields:
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dict instances representing a logging handler.
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Raises:
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ConfigError: If any of the drain configuration items are invalid.
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"""
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for name, config in drains.items():
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if "type" not in config:
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raise ConfigError("Logging drains require a 'type' key.")
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try:
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logging_type = DrainType.lookupByName(config["type"].upper())
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except ValueError:
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raise ConfigError(
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"%s is not a known logging drain type." % (config["type"],)
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)
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# Either use the default formatter or the tersejson one.
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if logging_type in (DrainType.CONSOLE_JSON, DrainType.FILE_JSON,):
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formatter = "json" # type: Optional[str]
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elif logging_type in (
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DrainType.CONSOLE_JSON_TERSE,
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DrainType.NETWORK_JSON_TERSE,
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):
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formatter = "tersejson"
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else:
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# A formatter of None implies using the default formatter.
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formatter = None
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if logging_type in [
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DrainType.CONSOLE,
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DrainType.CONSOLE_JSON,
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DrainType.CONSOLE_JSON_TERSE,
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]:
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location = config.get("location")
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if location is None or location not in ["stdout", "stderr"]:
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raise ConfigError(
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(
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"The %s drain needs the 'location' key set to "
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"either 'stdout' or 'stderr'."
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)
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% (logging_type,)
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)
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yield name, {
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"class": "logging.StreamHandler",
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"formatter": formatter,
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"stream": "ext://sys." + location,
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}
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elif logging_type in [DrainType.FILE, DrainType.FILE_JSON]:
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if "location" not in config:
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raise ConfigError(
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"The %s drain needs the 'location' key set." % (logging_type,)
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)
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location = config.get("location")
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if os.path.abspath(location) != location:
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raise ConfigError(
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"File paths need to be absolute, '%s' is a relative path"
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% (location,)
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)
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yield name, {
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"class": "logging.FileHandler",
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"formatter": formatter,
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"filename": location,
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}
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elif logging_type in [DrainType.NETWORK_JSON_TERSE]:
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host = config.get("host")
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port = config.get("port")
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maximum_buffer = config.get("maximum_buffer", 1000)
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yield name, {
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"class": "synapse.logging.RemoteHandler",
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"formatter": formatter,
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"host": host,
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"port": port,
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"maximum_buffer": maximum_buffer,
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}
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else:
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raise ConfigError(
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"The %s drain type is currently not implemented."
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% (config["type"].upper(),)
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)
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def setup_structured_logging(log_config: dict,) -> dict:
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"""
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Convert a legacy structured logging configuration (from Synapse < v1.23.0)
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to one compatible with the new standard library handlers.
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"""
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if "drains" not in log_config:
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raise ConfigError("The logging configuration requires a list of drains.")
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new_config = {
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"version": 1,
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"formatters": {
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"json": {"class": "synapse.logging.JsonFormatter"},
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"tersejson": {"class": "synapse.logging.TerseJsonFormatter"},
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},
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"handlers": {},
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"loggers": log_config.get("loggers", DEFAULT_LOGGERS),
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"root": {"handlers": []},
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}
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for handler_name, handler in parse_drain_configs(log_config["drains"]):
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new_config["handlers"][handler_name] = handler
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# Add each handler to the root logger.
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new_config["root"]["handlers"].append(handler_name)
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return new_config
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