In Python REST APIs, processing events typically involves using a framework such as Flask or Django. Here’s a basic example of how to create an event handling endpoint using Flask.
from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route('/event', methods=['POST'])
def process_event():
event_data = request.json
# Process the event data
# Example: log the event or trigger some action
print(event_data)
return jsonify({"status": "success", "data": event_data}), 200
if __name__ == "__main__":
app.run(debug=True)
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?