RefurnishAI / app /logger.py
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from collections import deque
from datetime import datetime
import io
import logging
import sys
import threading
logs = None
stdout_interceptor = None
stderr_interceptor = None
class LogInterceptor(io.TextIOWrapper):
def __init__(self, stream, *args, **kwargs):
buffer = stream.buffer
encoding = stream.encoding
super().__init__(buffer, *args, **kwargs, encoding=encoding, line_buffering=stream.line_buffering)
self._lock = threading.Lock()
self._flush_callbacks = []
self._logs_since_flush = []
def write(self, data):
entry = {"t": datetime.now().isoformat(), "m": data}
with self._lock:
self._logs_since_flush.append(entry)
# Simple handling for cr to overwrite the last output if it isnt a full line
# else logs just get full of progress messages
if isinstance(data, str) and data.startswith("\r") and not logs[-1]["m"].endswith("\n"):
logs.pop()
logs.append(entry)
super().write(data)
def flush(self):
super().flush()
for cb in self._flush_callbacks:
cb(self._logs_since_flush)
self._logs_since_flush = []
def on_flush(self, callback):
self._flush_callbacks.append(callback)
def get_logs():
return logs
def on_flush(callback):
if stdout_interceptor is not None:
stdout_interceptor.on_flush(callback)
if stderr_interceptor is not None:
stderr_interceptor.on_flush(callback)
def setup_logger(log_level: str = 'INFO', capacity: int = 300):
global logs
if logs:
return
# Override output streams and log to buffer
logs = deque(maxlen=capacity)
global stdout_interceptor
global stderr_interceptor
stdout_interceptor = sys.stdout = LogInterceptor(sys.stdout)
stderr_interceptor = sys.stderr = LogInterceptor(sys.stderr)
# Setup default global logger
logger = logging.getLogger()
logger.setLevel(log_level)
stream_handler = logging.StreamHandler()
stream_handler.setFormatter(logging.Formatter("%(message)s"))
logger.addHandler(stream_handler)