langflow/src/backend/langflow/utils/logger.py

69 lines
1.9 KiB
Python

from typing import Optional
from loguru import logger
from pathlib import Path
from rich.logging import RichHandler
from platformdirs import user_cache_dir
import os
import orjson
VALID_LOG_LEVELS = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]
def serialize(record):
subset = {
"timestamp": record["time"].timestamp(),
"message": record["message"],
"level": record["level"].name,
"module": record["module"],
}
return orjson.dumps(subset)
def patching(record):
record["extra"]["serialized"] = serialize(record)
def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None):
if os.getenv("LANGFLOW_LOG_LEVEL") in VALID_LOG_LEVELS and log_level is None:
log_level = os.getenv("LANGFLOW_LOG_LEVEL")
if log_level is None:
log_level = "INFO"
# Human-readable
log_format = (
"<green>{time:YYYY-MM-DD HH:mm:ss}</green> - <level>"
"{level: <8}</level> - {module} - <level>{message}</level>"
)
# log_format = log_format_dev if log_level.upper() == "DEBUG" else log_format_prod
logger.remove() # Remove default handlers
logger.patch(patching)
# Configure loguru to use RichHandler
logger.configure(
handlers=[
{
"sink": RichHandler(rich_tracebacks=True, markup=True),
"format": log_format,
"level": log_level.upper(),
}
]
)
if not log_file:
cache_dir = Path(user_cache_dir("langflow"))
log_file = cache_dir / "langflow.log"
log_file = Path(log_file)
log_file.parent.mkdir(parents=True, exist_ok=True)
logger.add(
sink=str(log_file),
level=log_level.upper(),
format=log_format,
rotation="10 MB", # Log rotation based on file size
serialize=True,
)
logger.debug(f"Logger set up with log level: {log_level}")
if log_file:
logger.info(f"Log file: {log_file}")