Debug Flag

- Added exception handling to capture and report any failures during query execution. 5. **Granular Timing**: - Tracks the total execution time of all queries and prints it at the end. This approach provides a more realistic simulat…

report = RiskReport(report_data=report_data) db.session.add(report) db.session.commit() return jsonify({"message": "Report created successfully"}), 201 if __name__ == "__main__": app.run(debug=True) ``` …

from flask import Flask, request, jsonify from flask_asyncio import AsyncIOMiddleware import asyncio app = Flask(__name__) AsyncIOMiddleware(app) async def authenticate_user(username, password): # Simulate authentication process a…

def protected(): if not auth0.authorized: return redirect(url_for('auth0.login')) resp = auth0.get('/userinfo') userinfo = resp.json() user_role = userinfo.get('https://your-domain.auth0.com/roles', 'guest') if n…

def fetch_data(lang): # Simulate fetching data time.sleep(1) return {"result": f"Query result for {lang}"} return jsonify(fetch_data(language)) # Example usage if __name__ == '__main__': app.run(deb…

Here's an improved version of your Flask API endpoint using `Flask` and `gunicorn` for better performance and scalability: #### 1. **Asynchronous Processing with Flask and Gunicorn** Using `gunicorn` with multiple worker processes can hel…

redis_client.set(f"synonym:{term}", json.dumps(expanded_synonyms), ex=3600) return expanded_synonyms else: return [] tasks = [expand_term(term) for term in ter…