AgentiAI / src /langgraphagenticai /logging /logging_utils.py
kamaleswar Mohanta
Implement SDLC Workflow UI in Streamlit with Planning, Design, Development, Testing, and Deployment phases; add project requirement collection and artifact management features.
0c217a7
import logging
import functools
import time
from pathlib import Path
import copy
# ---------------------------
# Logging Configuration Setup
# ---------------------------
# Setup log directory and file path
LOG_DIR = Path(__file__).resolve().parent / "logs"
LOG_DIR.mkdir(exist_ok=True)
LOG_FILE_PATH = LOG_DIR / "app.log"
# Configure logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
handlers=[
logging.StreamHandler(), # Console
logging.FileHandler(LOG_FILE_PATH, mode='a') # File
]
)
logger = logging.getLogger(__name__)
# -----------------------------------------
# Utility: Redact sensitive values in dicts
# -----------------------------------------
SENSITIVE_KEYS = [
"OPENAI_API_KEY", "GOOGLE_API_KEY", "GROQ_API_KEY", "TAVILY_API_KEY"
]
def redact_keys(data: dict, keys_to_redact=None):
"""
Redact sensitive keys in a dictionary before logging.
"""
if keys_to_redact is None:
keys_to_redact = SENSITIVE_KEYS
redacted = copy.deepcopy(data)
for key in keys_to_redact:
if key in redacted:
redacted[key] = "***REDACTED***"
return redacted
# -----------------------------------------
# Decorator: Log function entry and exit
# -----------------------------------------
def log_entry_exit(func):
"""
A decorator that logs function entry, exit, execution time,
and captures exceptions if any.
"""
@functools.wraps(func)
def wrapper(*args, **kwargs):
func_name = func.__name__
logger.info(f"\n{'='*20} ENTER: {func_name} {'='*20}")
start_time = time.perf_counter()
try:
result = func(*args, **kwargs)
execution_time = time.perf_counter() - start_time
logger.info(f"{func_name} completed in {execution_time:.4f} seconds")
logger.info(f"{'='*20} EXIT: {func_name} {'='*21}\n")
return result
except Exception as e:
execution_time = time.perf_counter() - start_time
logger.error(f"Exception in {func_name} after {execution_time:.4f} seconds: {e}", exc_info=True)
logger.info(f"{'='*20} FAILED: {func_name} {'='*20}\n")
raise
return wrapper
# -----------------------------------------
# Example Usage of Redacted Logging
# -----------------------------------------
def log_session_state(session_state: dict):
redacted_state = redact_keys(session_state)
logger.info("Session state updated: %s", redacted_state)