flask-Humanify

A strong bot protection system for Flask with many features: rate limiting, special rules for users, web crawler detection, and automatic bot detection.

from flask import Flask
from flask_Humanify import Humanify

app = Flask(__name__)
humanify = Humanify(app, challenge_type="one_click", image_dataset="ai_dogs")

# Register the middleware to deny access to bots
humanify.register_middleware(action="challenge")

@app.route("/")
def index():
    """
    A route that is protected against bots and DDoS attacks.
    """
    return "Hello, Human!"

if __name__ == "__main__":
    app.run()

Advanced Protection Rules

You can customize bot protection with advanced filtering rules:

# Protect specific endpoints with regex patterns
humanify.register_middleware(
    action="challenge",
    endpoint_patterns=["api.*", "admin.*"]  # Protect all API and admin endpoints
)

# Protect specific URL paths
humanify.register_middleware(
    action="deny_access",
    url_patterns=["/sensitive/*", "/admin/*"]  # Deny bot access to sensitive areas
)

# Exclude certain patterns from protection
humanify.register_middleware(
    endpoint_patterns=["api.*"],
    exclude_patterns=["api.public.*"]  # Don't protect public API endpoints
)

# Filter by request parameters
humanify.register_middleware(
    request_filters={
        "method": ["POST", "PUT", "DELETE"],  # Only protect write operations
        "args.admin": "true",                # Only when admin=true query parameter exists
        "headers.content-type": "regex:application/json.*"  # Match content type with regex
    }
)

Not using the middleware:

@app.route("/")
def index():
    """
    A route that is protected against bots and DDoS attacks.
    """
    if humanify.is_bot:
        return humanify.challenge()
    return "Hello, Human!"

Usage

Installation

Install the package with pip:

pip install flask-humanify --upgrade

Import the extension:

from flask_humanify import Humanify

Add the extension to your Flask app:

app = Flask(__name__)
humanify = Humanify(app)

Additional Features

Rate Limiting

Flask-Humanify includes a rate limiting feature to protect your application from excessive requests:

from flask import Flask
from flask_humanify import Humanify, RateLimiter

app = Flask(__name__)
humanify = Humanify(app)
# Default: 10 requests per 10 seconds
rate_limiter = RateLimiter(app)

# Or customize rate limits
rate_limiter = RateLimiter(app, max_requests=20, time_window=30)

The rate limiter will automatically:

• Track requests by IP address
• Hash IPs for privacy
• Redirect to a rate-limited page when limits are exceeded
• Ignore rate limits for special pages like the rate-limited and access-denied pages

Error Handling

Flask-Humanify provides a clean error handling system:

from flask import Flask
from flask_humanify import Humanify, ErrorHandler

app = Flask(__name__)
humanify = Humanify(app)
# Handle all standard HTTP errors
error_handler = ErrorHandler(app)

# Use custom template with placeholders: EXCEPTION_TITLE, EXCEPTION_CODE, EXCEPTION_MESSAGE
error_handler = ErrorHandler(app, template_path="templates/error.html")

# Or handle only specific error codes
error_handler = ErrorHandler(app, errors=[404, 429, 500])

# Or handle only specific error codes with a custom template
error_handler = ErrorHandler(app, errors={404: {"template": "404.html"}})

The error handler:

• Renders user-friendly error pages
• Uses the custom exception.html template
• Provides appropriate error messages and descriptions
• Includes HTTP status codes and titles

Complete Example

Here's a complete example combining all features:

from flask import Flask
from flask_humanify import Humanify, RateLimiter, ErrorHandler

app = Flask(__name__)
# Setup core protection
humanify = Humanify(app, challenge_type="one_click", image_dataset="animals")
humanify.register_middleware(action="challenge")

# Add rate limiting
rate_limiter = RateLimiter(app, max_requests=15, time_window=60)

# Add error handling
error_handler = ErrorHandler(app)

@app.route("/")
def index():
    return "Hello, Human!"

if __name__ == "__main__":
    app.run(debug=True)