Python handlers.QueueHandler方法代码示例

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def __call__(self, *args, **kwargs):
        queue_in = self.queue_in
        queue_out = self.queue_out
        logger = logging.getLogger()
        logger.addHandler(QueueHandler(queue_out))
        logger.setLevel(logging.DEBUG if self._debug else logging.INFO)
        db.init(self._settings['db_path'], False)

        self._ready()

        heartbeat_sequence = 1
        while True:
            try:
                task = queue_in.get(timeout=HEARTBEAT_INTERVAL)
                if isinstance(task, tasks.Task):
                    self._work(str(task))
                    self._done(task(**self._settings))
            except queues.Empty:
                self._heartbeat(heartbeat_sequence)
                heartbeat_sequence += 1
            except Exception as e:
                self._error(e, traceback.format_exc())
            except KeyboardInterrupt:
                break 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def __init__(self,
                 log_dir: str,
                 verbose: bool = False,
                 root_log_level: Optional[int] = None,
                 capture_warnings: bool = True,
                 console_prefix: Optional[str] = None,
                 hyper_params: Optional[Dict] = None) -> None:
        self.log_dir = log_dir
        self.verbose = verbose
        self.log_level = logging.NOTSET
        self.capture_warnings = capture_warnings
        self.listener: handlers.QueueListener
        self.console_prefix = console_prefix
        self.handlers: List[logging.Handler] = []
        self.queue_handler: handlers.QueueHandler
        self.old_root_log_level: int = logging.NOTSET
        self.hyper_params: Dict = hyper_params or {} 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def get_process_safe_logger(self) -> logging.Logger:
        """
        Returns a process-safe logger
        This logger sends all records to the main process
        :return:
        """
        queue_handler = QueueHandler(self.__queue)
        root_logger = logging.getLogger()

        # The fork may have happened after the root logger was setup by the main process
        # Remove all handlers from the root logger for this process
        handlers = root_logger.handlers[:]
        for handler in handlers:
            handler.close()
            root_logger.removeHandler(handler)

        root_logger.addHandler(queue_handler)
        root_logger.setLevel(self.__logger_level)
        return root_logger 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def __setstate__(self, state):

        self.__dict__.update(state)
        self.handler = logging_handlers.QueueHandler(self.logging_queue)
        self.logger = logging.getLogger(self.name)
        self.logger.addHandler(self.handler)
        self.logger.setLevel(self.json_conf["log_settings"]["log_level"])
        self.logger.propagate = False
        self.engine = dbutils.connect(self.json_conf, self.logger)
        self.analyse_locus = functools.partial(analyse_locus,
                                               json_conf=self.json_conf,
                                               engine=self.engine,
                                               logging_queue=self.logging_queue)
        # self.dump_db, self.dump_conn, self.dump_cursor = self._create_temporary_store(self._tempdir, self.identifier)
        self.handler = logging_handlers.QueueHandler(self.logging_queue)
        self.logger.addHandler(self.handler) 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def _setup_logging_queue(*handlers: Handler) -> QueueHandler:
    """Create a new LocalQueueHandler and start an associated QueueListener.
    """
    queue: Queue = Queue()
    queue_handler = LocalQueueHandler(queue)

    serving_listener = QueueListener(queue, *handlers, respect_handler_level=True)
    serving_listener.start()

    return queue_handler 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def configure_asynchronous_logging(logging_queue: multiprocessing.Queue):
    """Helper for asynchronous logging - Writes all logs to a queue.
    """
    root_logger = logging.getLogger()
    root_logger.setLevel(logging.DEBUG)
    queue_handler = QueueHandler(logging_queue)
    queue_handler.setLevel(logging.DEBUG)
    root_logger.addHandler(queue_handler)
    logger_all.debug("Asynchronous logging has been set.") 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def _extract_output(q):
    '''Extract log output from a QueueHandler queue'''
    out = []
    while not q.empty():
        record = q.get()
        # Use list instead of tuple to have the same data before and after mongo persist
        out.append([record.levelname.lower(), record.getMessage()])
    return out 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def setup_logging_queues():
    if sys.version_info.major < 3:
        raise RuntimeError("This feature requires Python 3.")

    queue_listeners = []

    # Q: What about loggers created after this is called?
    # A: if they don't attach their own handlers they should be fine
    for logger in get_all_logger_names(include_root=True):
        logger = logging.getLogger(logger)
        if logger.handlers:
            log_queue = queue.Queue(-1)  # No limit on size

            queue_handler = QueueHandler(log_queue)
            queue_listener = QueueListener(
                log_queue, respect_handler_level=True)

            queuify_logger(logger, queue_handler, queue_listener)
            # print("Replaced logger %s with queue listener: %s" % (
            #     logger, queue_listener
            # ))
            queue_listeners.append(queue_listener)

    for listener in queue_listeners:
        listener.start()

    atexit.register(stop_queue_listeners, *queue_listeners)
    return 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def queuify_logger(logger, queue_handler, queue_listener):
    """Replace logger's handlers with a queue handler while adding existing
    handlers to a queue listener.

    This is useful when you want to use a default logging config but then
    optionally add a logger's handlers to a queue during runtime.

    Args:
        logger (mixed): Logger instance or string name of logger to queue-ify
            handlers.
        queue_handler (QueueHandler): Instance of a ``QueueHandler``.
        queue_listener (QueueListener): Instance of a ``QueueListener``.

    """
    if isinstance(logger, str):
        logger = logging.getLogger(logger)

    # Get handlers that aren't being listened for.
    handlers = [handler for handler in logger.handlers
                if handler not in queue_listener.handlers]

    if handlers:
        # The default QueueListener stores handlers as a tuple.
        queue_listener.handlers = \
            tuple(list(queue_listener.handlers) + handlers)

    # Remove logger's handlers and replace with single queue handler.
    del logger.handlers[:]
    logger.addHandler(queue_handler) 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def _setup_task_process(mp_log_q):
    # Setting up logging and cfg, needed since this is a new process
    cfg.CONF(sys.argv[1:], project='coriolis', version="1.0.0")
    utils.setup_logging()

    # Log events need to be handled in the parent process
    log_root = logging.getLogger(None).logger
    for handler in log_root.handlers:
        log_root.removeHandler(handler)
    log_root.addHandler(handlers.QueueHandler(mp_log_q)) 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def init_fail(log_queue=None):
    if log_queue is not None:
        logger = logging.getLogger('concurrent.futures')
        logger.addHandler(QueueHandler(log_queue))
        logger.setLevel('CRITICAL')
        logger.propagate = False
    time.sleep(0.1)  # let some futures be scheduled
    raise ValueError('error in initializer') 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def __setup_logger(self):

        """
        Private method to set up the logger using indications in the
        args namespace.
        """

        if hasattr(self.args, "log_queue"):
            # noinspection PyUnresolvedReferences
            self.queue_handler = log_handlers.QueueHandler(self.args.log_queue)
        else:
            self.queue_handler = logging.NullHandler
        if self._counter is None:
            self.logger = logging.getLogger("stat_logger")
        else:
            self.logger = logging.getLogger("stat_logger-{}".format(self._counter))
        self.logger.addHandler(self.queue_handler)
        # noinspection PyUnresolvedReferences
        if self.args.verbose:
            self.logger.setLevel(logging.DEBUG)
        else:
            self.logger.setLevel(logging.INFO)

        self.logger.propagate = False
        return

    # pylint: disable=too-many-locals 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def run(self):
        global log
        log = logging.getLogger()
        log.setLevel(self.log_level)
        # log.handlers = []  # Remove all other handlers
        # log.addHandler(TopicQueueHandler(self.monitor_queue))
        # log.addHandler(QueueHandler(self.log_queue))
        log.info("Worker thread started")

        self.procedure = self.results.procedure

        self.recorder = Recorder(self.results, self.recorder_queue)
        self.recorder.start()

        #locals()[self.procedures_file] = __import__(self.procedures_file)

        # route Procedure methods & log
        self.procedure.should_stop = self.should_stop
        self.procedure.emit = self.emit

        if self.port is not None and zmq is not None:
            try:
                self.context = zmq.Context()
                log.debug("Worker ZMQ Context: %r" % self.context)
                self.publisher = self.context.socket(zmq.PUB)
                self.publisher.bind('tcp://*:%d' % self.port)
                log.info("Worker connected to tcp://*:%d" % self.port)
                time.sleep(0.01)
            except Exception:
                log.exception("couldn't connect to ZMQ context")

        log.info("Worker started running an instance of %r", self.procedure.__class__.__name__)
        self.update_status(Procedure.RUNNING)
        self.emit('progress', 0.)

        try:
            self.procedure.startup()
            self.procedure.execute()
        except (KeyboardInterrupt, SystemExit):
            self.handle_abort()
        except Exception:
            self.handle_error()
        finally:
            self.shutdown()
            self.stop() 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def execute(self, recordonly=False, dryrun=False):
        '''
        Execute a migration

        If recordonly is True, the migration is only recorded
        If dryrun is True, the migration is neither executed nor recorded
        '''
        q = queue.Queue(-1)  # no limit on size
        handler = QueueHandler(q)
        handler.setFormatter(MigrationFormatter())
        logger = getattr(self.module, 'log', logging.getLogger(self.module.__name__))
        logger.propagate = False
        for h in logger.handlers:
            logger.removeHandler(h)
        logger.addHandler(handler)

        if not hasattr(self.module, 'migrate'):
            error = SyntaxError('A migration should at least have a migrate(db) function')
            raise MigrationError('Error while executing migration', exc=error)

        out = [['info', 'Recorded only']] if recordonly else []
        state = {}

        if not recordonly and not dryrun:
            db = get_db()
            db._state = state
            try:
                self.module.migrate(db)
                out = _extract_output(q)
            except Exception as e:
                out = _extract_output(q)
                self.add_record('migrate', out, db._state, False)
                fe = MigrationError('Error while executing migration',
                                    output=out, exc=e)
                if hasattr(self.module, 'rollback'):
                    try:
                        self.module.rollback(db)
                        out = _extract_output(q)
                        self.add_record('rollback', out, db._state, True)
                        msg = 'Error while executing migration, rollback has been applied'
                        fe = RollbackError(msg, output=out, migrate_exc=fe)
                    except Exception as re:
                        out = _extract_output(q)
                        self.add_record('rollback', out, db._state, False)
                        msg = 'Error while executing migration rollback'
                        fe = RollbackError(msg, output=out, exc=re, migrate_exc=fe)
                raise fe

        if not dryrun:
            self.add_record('migrate', out, state, True)

        return out 

# 需要导入模块: from logging import handlers [as 别名]
# 或者: from logging.handlers import QueueHandler [as 别名]
def __init__(self,
                 json_conf,
                 locus_queue,
                 logging_queue,
                 status_queue,
                 identifier,
                 tempdir="mikado_pick_tmp"
                 ):

        # current_counter, gene_counter, current_chrom = shared_values
        super(LociProcesser, self).__init__()
        json_conf = msgpack.loads(json_conf, raw=False)
        self.logging_queue = logging_queue
        self.status_queue = status_queue
        self.__identifier = identifier  # Property directly unsettable
        self.name = "LociProcesser-{0}".format(self.identifier)
        self.json_conf = json_conf
        self.engine = None
        self.handler = logging_handlers.QueueHandler(self.logging_queue)
        self.logger = logging.getLogger(self.name)
        self.logger.addHandler(self.handler)
        self.logger.setLevel(self.json_conf["log_settings"]["log_level"])

        self.logger.propagate = False
        self._tempdir = tempdir
        self.locus_queue = locus_queue
        self.regressor = None
        # self.dump_db, self.dump_conn, self.dump_cursor = self._create_temporary_store(self._tempdir, self.identifier)

        if self.json_conf["pick"]["scoring_file"].endswith((".pickle", ".model")):
            with open(self.json_conf["pick"]["scoring_file"], "rb") as forest:
                self.regressor = pickle.load(forest)
            from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
            if not isinstance(self.regressor["scoring"], (RandomForestRegressor, RandomForestClassifier)):
                exc = TypeError("Invalid regressor provided, type: %s", type(self.regressor))
                self.logger.critical(exc)
                self.exitcode = 9
                self.join()
        self.logger.debug("Starting Process %s", self.name)

        self.logger.debug("Starting the pool for {0}".format(self.name))
        try:
            self.engine = dbutils.connect(self.json_conf, self.logger)
        except KeyboardInterrupt:
            raise
        except EOFError:
            raise
        except Exception as exc:
            self.logger.exception(exc)
            return

        self.analyse_locus = functools.partial(analyse_locus,
                                               json_conf=self.json_conf,
                                               engine=self.engine,
                                               logging_queue=self.logging_queue)