pyfunclog 2.0.1

Comprehensive function logging with async support and sensitive data protection

PyFuncLog

Comprehensive function logging with automatic sensitive data protection.

Features

• 🕵️‍♂️ Automatic Variable Capture: Captures all local variables and function arguments
• 🔒 Sensitive Data Protection: Automatically masks passwords, tokens, API keys, etc.
• 🎯 Flexible Decorators: Choose what to log - everything, returns, or just locals
• 📝 Structured Logging: JSON-formatted logs with clear structure
• 🚀 Easy Integration: Simple decorator-based approach

Installation

pip install pyfunclog

usage example:

import asyncio
from pyfunclog import async_secure_log_function

@async_secure_log_function()
async def fetch_data(api_key: str, user_id: int):
    # api_key will be automatically masked
    await asyncio.sleep(0.1)
    result = {"user_id": user_id, "data": "sample"}
    return result

# Or use universal decorator for both sync and async
from pyfunclog import universal_log

@universal_log
async def async_function(x):
    return x * 2

@universal_log
def sync_function(x):
    return x * 2

fastapi integration

from fastapi import FastAPI
from pyfunclog import FastAPILoggingSupport, async_secure_log_function

app = FastAPI()
logging_support = FastAPILoggingSupport()
logging_support.middleware(app)  # Add request/response logging

@app.get("/users/{user_id}")
@async_secure_log_function()
async def get_user(user_id: int, token: str):
    # token will be automatically masked
    return {"user_id": user_id, "name": "John Doe"}

configure logging

from pyfunclog import configure_logging

# Configure logging
configure_logging(
    level="DEBUG",
    format_string='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    filename="app.log"
)