Source code for tradeexecutor.cli.log

"""High-grade logging facilities.

We have a custom level `logging.TRADE` that we use to log trade execution to Discord and such.
"""

import logging
import sys
from logging import Logger
from os import PathLike
from pathlib import Path
from typing import Optional, List

from tradeexecutor.utils.ring_buffer_logging_handler import RingBufferHandler

try:
    import coloredlogs
    import logstash
    from discord_logging.handler import DiscordHandler
except ImportError:
    # Not available for Pyodide build, see
    # test_optional_dependencies.py
    pass


#: Stored here as a global so that we can later call RingBufferHandler.export()
_ring_buffer_handler: Optional[RingBufferHandler] = None


[docs]def setup_logging( log_level: None | str | int=logging.INFO, in_memory_buffer=False) -> Logger: """Setup root logger and quiet some levels. :param log_level: Log level read from command line or environment var. :param in_memory_buffer: Setup in-memory log buffer used to fetch log messages to the frontend. """ setup_custom_log_levels() if log_level == "disabled": # Special unit test marker, don't mess with loggers return logging.getLogger() elif log_level is None: log_level = logging.INFO if isinstance(log_level, str): log_level = log_level.upper() logger = logging.getLogger() # Set log format to dislay the logger name to hunt down verbose logging modules fmt = "%(asctime)s %(name)-50s %(levelname)-8s %(message)s" # Use colored logging output for console coloredlogs.install(level=log_level, fmt=fmt, logger=logger) # Disable logging of JSON-RPC requests and reploes logging.getLogger("web3.RequestManager").setLevel(logging.WARNING) logging.getLogger("web3.providers.HTTPProvider").setLevel(logging.WARNING) # logging.getLogger("web3.RequestManager").propagate = False # Disable all internal debug logging of requests and urllib3 # E.g. HTTP traffic logging.getLogger("requests").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) # IPython notebook internal logging.getLogger("asyncio").setLevel(logging.WARNING) # Maplotlib puke logging.getLogger("matplotlib").setLevel(logging.WARNING) # Disable warnings on startup logging.getLogger("pyramid_openapi3").setLevel(logging.ERROR) # Datadog tracer agent # https://ddtrace.readthedocs.io/en/stable/basic_usage.html logging.getLogger("ddtrace").setLevel(logging.INFO) # Because we are running a single threaded worker, # the position trigger check task can be blocked by trade decision task, or vice versa. # Because the position trigger check task is very quick, this should not be an issue in practice. # However apscheduler spews logs with WARN on this and we do not want it as # warning, as it is a planned scenario. # enzyme-polygon-eth-usdc | 2023-06-23 13:00:05 apscheduler.executors.default WARNING Run time of job "ExecutionLoop.run_live.<locals>.live_positions (trigger: interval[1:00:00], next run at: 2023-06-23 14:00:00 UTC)" was missed by 0:00:05.324013 logging.getLogger("apscheduler.executors.default").setLevel(logging.ERROR) # GraphQL library # Writes very noisy and long Introspection query to logs # everytime graphql endpoint is read logging.getLogger("graphql").setLevel(logging.WARNING) logging.getLogger("gql").setLevel(logging.WARNING) if in_memory_buffer: setup_in_memory_logging(logger) return logger
[docs]def setup_file_logging( log_filename: str | Path, log_level: str | int = logging.INFO, http_logging=False, ): """Create log file output. - All log messages - HTTP traffic only """ # https://stackoverflow.com/a/11111212/315168 fmt = "%(asctime)s %(name)-50s %(levelname)-8s %(message)s" formatter = logging.Formatter(fmt) if isinstance(log_level, str): log_level = log_level.upper() if log_level == "NONE": # Allow disable return file_handler = logging.FileHandler(log_filename) file_handler.setFormatter(formatter) file_handler.setLevel(log_level) logging.getLogger().addHandler(file_handler) if http_logging: # Delayed import, as we do not want to bring in web server machinery in backtesting from tradeexecutor.webhook.http_log import configure_http_request_logging # Create a logger for HTTP requests only configure_http_request_logging(Path(log_filename))
[docs]def setup_in_memory_logging(logger): global _ring_buffer_handler _ring_buffer_handler = RingBufferHandler(logging.INFO) logger.addHandler(_ring_buffer_handler)
[docs]def get_ring_buffer_handler() -> RingBufferHandler: return _ring_buffer_handler
[docs]def setup_pytest_logging(request=None, mute_requests=True) -> logging.Logger: """Setup logger in pytest environment. Quiets out unnecessary logging subsystems. :param request: pytest.fixtures.SubRequest instance :return: Test logger - though please use module specific logger """ setup_custom_log_levels() # Disable logging of JSON-RPC requests and reploes logging.getLogger("web3.RequestManager").setLevel(logging.WARNING) logging.getLogger("web3.providers.HTTPProvider").setLevel(logging.WARNING) # Disable all internal debug logging of requests and urllib3 # E.g. HTTP traffic if mute_requests: logging.getLogger("requests").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) # ipdb internals logging.getLogger("asyncio").setLevel(logging.WARNING) # maplotlib burps a lot on startup logging.getLogger("matplotlib").setLevel(logging.WARNING) # Don't log section duration monitors logging.getLogger("tradeexecutor.utils.timer").setLevel(logging.WARNING) # Mute mainloop (a lot of logs about nothing happening in backtesting) # logging.getLogger("tradeexecutor.strategy.runner").setLevel(logging.WARNING) return logging.getLogger("test")
[docs]def setup_notebook_logging(log_level: str | int=logging.WARNING) -> logging.Logger: """Setup logger in notebook / backtesting environments. This will enable logging for all loggeres and the output is too verbose for backtesting. """ logger = logging.getLogger() # Set log format to dislay the logger name to hunt down verbose logging modules fmt = "%(asctime)s %(name)-50s %(levelname)-8s %(message)s" # TODO: coloredlogs disabled for notebook - # see https://stackoverflow.com/a/68930736/315168 # how to add native HTML log output # Use colored logging output for console # coloredlogs.install(level=log_level, fmt=fmt, logger=logger) if isinstance(log_level, str): log_level = log_level.upper() logger = logging.getLogger() logging.basicConfig(stream=sys.stdout, level=log_level) #logger.setLevel(log_level) setup_custom_log_levels() # Disable logging of JSON-RPC requests and reploes logging.getLogger("web3.RequestManager").setLevel(logging.WARNING) logging.getLogger("web3.providers.HTTPProvider").setLevel(logging.WARNING) logging.getLogger("requests").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) # ipdb internals logging.getLogger("asyncio").setLevel(logging.WARNING) # maplotlib burps a lot on startup logging.getLogger("matplotlib").setLevel(logging.WARNING) # Performance metrics, irrelevant for backtesting logging.getLogger("tradeexecutor.utils.timer").setLevel(logging.WARNING) return logger
[docs]def setup_strategy_logging(default_log_level: str | int=logging.WARNING) -> logging.Logger: """Setup logging for backtesting. This will enable logging :py:class:`~tradeexecutor.strategy.pandas_trading.PositionManager` only. See also :py:meth:`tradeexecutor.strategy.pandas_trading.position_manager.PositionManager.log` for examples. """ # TODO: coloredlogs disabled for notebook - # see https://stackoverflow.com/a/68930736/315168 # how to add native HTML log output # Use colored logging output for console # coloredlogs.install(level=log_level, fmt=fmt, logger=logger) if isinstance(default_log_level, str): default_log_level = default_log_level.upper() # See https://stackoverflow.com/a/56532290/315168 logger = logging.getLogger() logging.basicConfig(stream=sys.stdout, level=default_log_level) setup_custom_log_levels() logging.getLogger("tradeexecutor.strategy.pandas_trader.position_manager").setLevel(logging.INFO) return logger
[docs]def setup_custom_log_levels(): """Create a new logging level TRADE that is between INFO and WARNING. This level is used to log trade execution to Discord etc. trader followed stream. """ if hasattr(logging, "TRADE"): # Already setup, don't try twice return # https://www.programcreek.com/python/?code=dwavesystems%2Fdwave-hybrid%2Fdwave-hybrid-master%2Fhybrid%2F__init__.py logging.TRADE = logging.INFO + 1 # Info is 20, TRADE is 21, Warning is 30 logging.addLevelName(logging.TRADE, "TRADE") def _trade(logger, message, *args, **kwargs): if logger.isEnabledFor(logging.TRADE): logger._log(logging.TRADE, message, args, **kwargs) logging.Logger.trade = _trade
[docs]def setup_discord_logging(name: str, webhook_url: str, avatar_url: Optional[str]=None): """Setup Discord logger. Any log with level `logging.TRADE` is echoed to Discord channel given in the URL. https://pypi.org/project/discord-logger/ :param url: :return: """ discord_format = logging.Formatter("%(message)s") discord_handler = DiscordHandler(name, webhook_url, avatar_url=avatar_url, message_break_char="…") discord_handler.setFormatter(discord_format) discord_handler.setLevel(logging.TRADE) logging.getLogger().addHandler(discord_handler)
[docs]def setup_logstash_logging( logstash_server: str, application_name: str, extra_tags: Optional[List[str]] = None, quiet=True, level=logging.INFO, port=5959, ): """Setup Logstash logger. Connects via UDP. :param logstash_server: Host name / IP address of a logstash server :param port: Logstash receiving UDP port :param application_name: Added as application tag. You can look up this application by filtering for `application` in Logstash. :param extra_tags: List of extra tags added on on Logstash messages. :param quiet: Do we note if we have connected to the server :return: Logstash logger """ logger = logging.getLogger() extra_tags = extra_tags or [] tags = ["python"] + extra_tags if not quiet: logger.info("Logging to Logstash server %s, application name is %s, tags are %s", logstash_server, application_name, tags) # Include our application name in the logs assert application_name, "Cannot use Logstash without application_name set" extra_fields = {"application": application_name} handler = logstash.UDPLogstashHandler(logstash_server, port, version=1, tags=tags, extra_fields=extra_fields) handler.setLevel(level) logger.addHandler(handler) return logger