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Framework-agnostic HTTP logger with payload masking

Project description

🕵️‍♂️ BlackBox Logger

PyPI License

A universal request/response logger for Django, Flask, FastAPI, and other Python apps.
Automatically logs requests and responses, user info, IP address, and more — with masked sensitive data — into a log file and SQLite/PostgreSQL database.


🚀 Features

  • ✅ Logs all HTTP requests and responses
  • ✅ Logs to both blackbox.log file and SQLite or PostgreSQL DB
  • ✅ Automatically masks sensitive fields (e.g., password, token, etc.)
  • ✅ Logs user (if available), IP address, user agent, and request duration
  • ✅ Skips HTML/JS or large responses automatically
  • ✅ Supports log rotation
  • ✅ Decorator-based and middleware-based integration
  • ✅ Works out-of-the-box in Django, Flask, and FastAPI

📦 Installation

pip install blackbox-logger
# Or install directly from GitHub:
pip install git+https://github.com/avi9r/blackbox_logger.git

📁 Logs

  • log/blackbox.log — rotating file logs
  • log/blackbox_logs.db — SQLite DB (or PostgreSQL if configured)

⚙️ Usage

🟩 Django Middleware

from django.utils.deprecation import MiddlewareMixin
from blackbox_logger.logger import HTTPLogger
import time

logger = HTTPLogger()

class BlackBoxLoggerMiddleware(MiddlewareMixin):
    def process_request(self, request):
        request._start_time = time.time()
        logger.log_request(request.method, request.path, dict(request.headers), request.body, request)

    def process_response(self, request, response):
        duration = time.time() - getattr(request, "_start_time", time.time())
        logger.log_response(
            request.method, request.path, dict(response.headers),
            response.content, response.status_code, request, duration
        )
        return response

Then in settings.py:

MIDDLEWARE = [
    'your_project.middleware.BlackBoxLoggerMiddleware',
    ...
]

🔵 Django Decorator Usage

from blackbox_logger.logger import HTTPLogger
logger = HTTPLogger()

@logger.decorator
def my_view(request):
    return JsonResponse({"message": "OK"})

🟖 Flask Middleware

from flask import Flask, request
from flask_login import current_user
from blackbox_logger.logger import HTTPLogger
import time

logger = HTTPLogger(get_user=lambda h, r=None: current_user.username if current_user.is_authenticated else "Anonymous")
app = Flask(__name__)

@app.before_request
def log_request():
    request._start_time = time.time()
    logger.log_request(request.method, request.path, dict(request.headers), request.get_data(), request)

@app.after_request
def log_response(response):
    duration = time.time() - getattr(request, '_start_time', time.time())
    logger.log_response(
        request.method, request.path, dict(response.headers),
        response.get_data(), response.status_code, request, duration
    )
    return response

🟨 Flask Decorator Usage

@logger.decorator
def your_flask_view():
    return jsonify({"msg": "Hello"})

🟘 FastAPI Middleware

from fastapi import FastAPI, Request, Response
from blackbox_logger.logger import HTTPLogger

logger = HTTPLogger()
app = FastAPI()

@app.middleware("http")
async def blackbox_logger_middleware(request: Request, call_next):
    request.state.user = "Anonymous"  # attach user if needed
    body = await request.body()
    logger.log_request(request.method, str(request.url), dict(request.headers), body, request)

    response = await call_next(request)
    response_body = b"".join([chunk async for chunk in response.body_iterator])
    response.body_iterator = iter([response_body])

    logger.log_response(
        request.method, str(request.url), dict(response.headers),
        response_body, response.status_code, request
    )
    return response

🟦 FastAPI Decorator Usage

@app.get("/hello")
@logger.decorator
def hello(request: Request):
    return {"hello": "world"}

🔍 Decorator vs Middleware Summary

Integration Style Need Decorator? Works Without It?
Django/Flask/FastAPI Middleware ❌ No ✅ Yes
Manual log_request/log_response ❌ No ✅ Yes
Only with @decorator ✅ Yes (if no middleware) ✅ Yes

🔐 Masking Sensitive Data

Default masked fields:

["password", "token", "access_token", "secret", "authorization", "csrfmiddlewaretoken"]

To add custom fields:

logger = HTTPLogger(custom_mask_fields={"otp", "session_id"})

📃 PostgreSQL Support

Set these environment variables:

BLACKBOX_DB_TYPE=postgres
BLACKBOX_PG_DB=blackbox_logs
BLACKBOX_PG_USER=postgres
BLACKBOX_PG_PASSWORD=secret
BLACKBOX_PG_HOST=localhost
BLACKBOX_PG_PORT=5432

🔄 Log Rotation

Enable rotating file logs:

BLACKBOX_LOG_MAX_SIZE=1048576     # 1MB
BLACKBOX_LOG_BACKUP_COUNT=5       # Keep 5 backups

📜 Sample Output

2025-06-19 18:29:15 [INFO] [REQUEST] POST /api/login | User: admin | IP: 127.0.0.1 | Payload: {"username": "admin", "password": "***"}
2025-06-19 18:29:15 [INFO] [RESPONSE] POST /api/login | User: admin | IP: 127.0.0.1 | Status: 200 | Duration: 0.23s | Response: {"status": "ok"}

📓 License

MIT License

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