Files
danswer/backend/onyx/background/celery/memory_monitoring.py
2025-03-08 14:47:56 -08:00

74 lines
2.5 KiB
Python

# backend/onyx/background/celery/memory_monitoring.py
import logging
import os
from logging.handlers import RotatingFileHandler
import psutil
from onyx.utils.logger import is_running_in_container
from onyx.utils.logger import setup_logger
# Regular application logger
logger = setup_logger()
# Only set up memory monitoring in container environment
if is_running_in_container():
# Set up a dedicated memory monitoring logger
MEMORY_LOG_DIR = "/var/log/persisted-logs/memory"
MEMORY_LOG_FILE = os.path.join(MEMORY_LOG_DIR, "memory_usage.log")
MEMORY_LOG_MAX_BYTES = 10 * 1024 * 1024 # 10MB
MEMORY_LOG_BACKUP_COUNT = 5 # Keep 5 backup files
# Ensure log directory exists
os.makedirs(MEMORY_LOG_DIR, exist_ok=True)
# Create a dedicated logger for memory monitoring
memory_logger = logging.getLogger("memory_monitoring")
memory_logger.setLevel(logging.INFO)
# Create a rotating file handler
memory_handler = RotatingFileHandler(
MEMORY_LOG_FILE,
maxBytes=MEMORY_LOG_MAX_BYTES,
backupCount=MEMORY_LOG_BACKUP_COUNT,
)
# Create a formatter that includes all relevant information
memory_formatter = logging.Formatter(
"%(asctime)s [%(levelname)s] %(message)s", datefmt="%Y-%m-%d %H:%M:%S"
)
memory_handler.setFormatter(memory_formatter)
memory_logger.addHandler(memory_handler)
else:
# Create a null logger when not in container
memory_logger = logging.getLogger("memory_monitoring")
memory_logger.addHandler(logging.NullHandler())
def emit_process_memory(
pid: int, process_name: str, additional_metadata: dict[str, str | int]
) -> None:
# Skip memory monitoring if not in container
if not is_running_in_container():
return
try:
process = psutil.Process(pid)
memory_info = process.memory_info()
cpu_percent = process.cpu_percent(interval=0.1)
# Build metadata string from additional_metadata dictionary
metadata_str = " ".join(
[f"{key}={value}" for key, value in additional_metadata.items()]
)
metadata_str = f" {metadata_str}" if metadata_str else ""
memory_logger.info(
f"PROCESS_MEMORY process_name={process_name} pid={pid} "
f"rss_mb={memory_info.rss / (1024 * 1024):.2f} "
f"vms_mb={memory_info.vms / (1024 * 1024):.2f} "
f"cpu={cpu_percent:.2f}{metadata_str}"
)
except Exception:
logger.exception("Error monitoring process memory.")