q-logger-py is a pure Python 3 logging library that use queues for handling log messages.
It is thread-based, which makes it faster than standard file logging.
pip install q-logger-pyfirst need to create a QueueHandler and a ThreadWorker (either ThreadStdoutWorker or ThreadRotateFileWorker).
Then, add the QueueHandler to your logger and start the ThreadWorker.
import logging
from q_logger_py import QueueHandler, ThreadStdoutWorker
queue_handler = QueueHandler()
thread_worker = ThreadStdoutWorker(queue_handler.log_queue)
logger = logging.getLogger(__name__)
logger.addHandler(queue_handler)
logger.setLevel(logging.DEBUG)
thread_worker.start()
logger.debug('This is a debug')
logger.info('This is a info')
logger.warning('This is a warning')
logger.error('This is an error')
thread_worker.end()- Thread-based: uses threads to handle log messages, which makes it faster than standard file logging.
- Queue-based: uses queues to store log messages, which ensures that no log messages are lost.
key features of q-logger-py is the ease of creating custom outputs.
By inheriting from the BaseThreadWorker class, you can define output method to handle records in any way you want.
from q_logger_py.worker.base_thread_worker import BaseThreadWorker
class ThreadFileWorker(BaseThreadWorker):
def __init__(self, log_queue, filename):
super().__init__(log_queue)
self.file = open(filename, 'a')
def output(self):
log_output = self.format(self.record)
# add custom output here
# self.file.write(log_output + '\n')
# self.file.flush()
print(log_output)q-logger-py is licensed under the Apache License.