Spaces:
Runtime error
Runtime error
feat: Restructure project into src/ directory and integrate DagsHub with enhanced MLflow utilities
0cb14f5 | import logging | |
| import threading | |
| import queue | |
| import sys | |
| class StreamlitLogHandler(logging.Handler): | |
| def __init__(self, log_queue): | |
| super().__init__() | |
| self.log_queue = log_queue | |
| def emit(self, record): | |
| msg = self.format(record) | |
| self.log_queue.put(msg) | |
| def setup_logging_to_queue(log_queue): | |
| handler = StreamlitLogHandler(log_queue) | |
| handler.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')) | |
| logger = logging.getLogger() | |
| logger.addHandler(handler) | |
| logger.setLevel(logging.INFO) | |
| return handler | |
| class StdoutRedirector: | |
| def __init__(self, log_queue): | |
| self.log_queue = log_queue | |
| def write(self, string): | |
| if string.strip(): | |
| self.log_queue.put(string.strip()) | |
| def flush(self): | |
| pass | |