tasks-logger
is a versatile Python logging library designed to facilitate detailed and color-coded logging for applications that manage multiple tasks, such as those operating across various threads or processes. It extends the basic functionality of Python’s built-in logging module to include dynamic log levels, thread-safe output, conditional file logging, and vivid color outputs for better clarity and monitoring.
Check also tasks-loader
- Dynamic Log Levels: Easily define new log levels on the fly.
- Color-coded Output: Enhance log visibility with configurable color outputs for each log level.
- Conditional File Logging: Decide which log level messages are important enough to save to files.
- Thread Safety: Ensure logs are thread-safe using locks to prevent text scrambling when used in multi-threaded applications.
Install tasks-logger
via pip:
pip install tasks-logger
tasks-logger
utilizes the Colorama library to add color to log messages depending on their severity. You can set up different log levels and specify whether these should be output to the console, saved to a file, or both. The logger also supports dynamic addition of new log levels with specific properties.
Here's how to set up and use the tasks-logger
:
from tasks_logger import Logger
logger = Logger(level='INFO', file_level='ERROR', filename='app.log')
logger.info("This is an informational message.")
logger.error("This error message will also be saved to a file.")
You can add new log levels dynamically:
logger.add_level('VERBOSE', 15, Fore.LIGHTBLUE_EX)
logger.verbose("This is a verbose message with custom log level.")
tasks-logger
is designed to be safe for use in multi-threaded environments:
import threading
def task():
logger.info("Log from a thread.")
thread = threading.Thread(target=task)
thread.start()
thread.join()
Control which log levels are logged to files:
# Only ERROR and above levels will be saved to the file.
logger = Logger(level='DEBUG', file_level='ERROR', filename='important.log')
logger.debug("This message will not be logged in the file.")
logger.error("This error will be logged in the file.")
Here is an example showing how tasks-logger
might be used in a sneakers/tickets purchasing bot, which operates with multiple tasks:
class MyTask:
def __init__(self, task_id: str, mail: str, ...):
self.logger = Logger(
level='INFO',
task_id=task_id,
mail=mail,
formatting="[{timestamp}] [{level}] ({task_id}) {mail} - {message}"
)
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