o wOi@s~dZddlZddlmZddlmZmZmZmZda dde dej fd d Z dd ede ddfd dZ dd ede ddfddZdS)a+ Module contains events processing mechanisms that are integrated with the standard python logging. Example of usage: :: from torchelastic import events event = Event(name="test_event", source=EventSource.WORKER, metadata={...}) events.get_events_logger(destination="default").info(event) N)get_logging_handler)Event EventSourceTsmEventEventMetadataValuenull destinationreturncCs@trtSt|}td|attjdt_t|tS)aF Constructs python logger based on the destination type or extends if provided. Available destination could be found in ``handlers.py`` file. The constructed logger does not propagate messages to the upper level loggers, e.g. root logger. This makes sure that a single event can be processed once. Args: destination: The string representation of the event handler. Available handlers found in ``handlers`` module logger: Logger to be extended with the events handler. Method constructs a new logger if None provided. ztorchelastic-events-F)_events_loggerrlogging getLoggersetLevelDEBUG propagate addHandler)r logging_handlerrP/home/ubuntu/.local/lib/python3.10/site-packages/torchelastic/events/__init__.py_get_or_create_loggers  rconsoleeventcCt||dSNrinfo serializerr rrrrecord8rcCrrrrrrr record_tsm<rr )r)r)__doc__r torchelastic.events.handlersrapirrrrr strLoggerrrr rrrrs