Server-side AI bot tracking SDK for Python
Project description
surfgeo Python SDK
Track AI bot traffic on your Python servers with surfgeo.
Installation
pip install surfgeo-sdk
Framework-Specific Installation
# Django
pip install surfgeo-sdk[django]
# Flask
pip install surfgeo-sdk[flask]
# FastAPI
pip install surfgeo-sdk[fastapi]
Quick Start
Django
# settings.py
MIDDLEWARE = [
# ... other middleware
'surfgeo.middleware.django.surfgeoMiddleware',
]
SURFGEO_CONFIG = {
'script_key': 'sk_your_key_here'
}
Flask
from flask import Flask
from surfgeo import get_flask_extension
app = Flask(__name__)
SurfGeo = get_flask_extension()
surfgeo = SurfGeo(app, script_key='sk_your_key_here')
FastAPI
from fastapi import FastAPI
from surfgeo.middleware.fastapi import surfgeoMiddleware
app = FastAPI()
app.add_middleware(
surfgeoMiddleware,
script_key='sk_your_key_here'
)
Configuration Options
| Option | Type | Required | Default | Description |
|---|---|---|---|---|
| script_key | str | Yes | - | Your surfgeo script key |
| endpoint | str | No | Production | Custom tracking endpoint |
| timeout | float | No | 0.05 | Request timeout (seconds) |
| debug | bool | No | False | Enable debug logging |
| enabled | bool | No | True | Enable/disable tracking |
Features
- ✅ Zero impact on app performance (non-blocking)
- ✅ Async and sync framework support
- ✅ Works with Django, Flask, FastAPI, and more
- ✅ Type hints and modern Python (3.8+)
- ✅ Comprehensive test coverage
Documentation
License
MIT
Support
Project details
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