cached_results missing branch

print(f"Average response time: {average_response_time:.2f}ms") print(f"Median response time: {median_response_time:.2f}ms") print(f"90th percentile response time: {p90_response_time:.2f}ms") # Check if 90% of queries meet the 200ms target …

"temperature": temperature, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty, "seed": seed } try: response = requests.post(endpoint, headers=headers, json=…

document = {'title': 'Example Document', 'author': 'John Doe'} metadata = extract_metadata(document) normalized_metadata = normalize_metadata(metadata) if validate_metadata(normalized_metadata): print("Metadata is valid") else: prin…

### 5. **Use Cache Hit Ratio Monitoring** Monitor the cache hit ratio to ensure that the cache is being used effectively. This can help you fine-tune your caching strategy. #### Example with Monitoring ```python # Increment cache hit coun…

if reranked_results is not None: print("Reranked Results:") for result in reranked_results: print(result) else: print("Failed to rerank results.") ``` ### Explanation 1. **Logger Initialization**: - The logger is in…

[Turn 9760] User: How do I implement role-based access control using Keycloak 22.0.6 to protect access to my documentation system, ensuring that only 1% of the documentation data is exposed to authorized users? ```python import keycloak # …

return [f"{term}_synonym1", f"{term}_synonym2"] else: return [] if __name__ == "__main__": app.run(debug=True) ``` ### Explanation 1. **Rate Limiting**: - The `limiter.limit("350 per second")` decorator ensures…

except Exception as e: logging.error(f"Error caching query results: {str(e)}") return False def get_cached_query_results(query_id): try: # Create a Redis client redis_client = redis.Redis(host='local…