Return None

:param data_size_gb: Data size in GB :param query_volume: Number of queries per month :param aws_instance_type: AWS ElastiCache instance type :param redis_instance_type: Redis Enterprise instance type :param aws_price_pe…

while True: response = requests.get(url, headers=headers) if response.status_code == 200: return response.json() elif response.status_code == 429: # Rate limit exceeded reset_time = int(r…

elif response.status_code == 429: # Rate limit exceeded delay = base_delay * (2 ** attempt) + random.uniform(0, 1) print(f"Rate limit exceeded. Retrying in {delay:.2f} seconds...") time.sleep(del…

response = make_request(prompt) if response: return response if attempt < retries: logging.warning(f"Attempt {attempt + 1} failed. Retrying in {delay} seconds...") …

from azure.mgmt.monitor import MonitorManagementClient from azure.common.credentials import ServicePrincipalCredentials # Azure credentials subscription_id = 'your-subscription-id' tenant_id = 'your-tenant-id' client_id = 'your-client-id' …

logger.error("Max retries reached. Unable to refresh token and retry.") return None else: logger.error(f"Unexpected HTTP error: {e}") raise return None …

return None def update_metadata(metadata, file_path): if metadata: # Update metadata in the database # Placeholder for actual database update logic print(f"Updating metadata for {file_path}") else: …

- The `get_vectors` method returns the stored vectors up to the current count as a dense array. 4. **Resizing**: - The `_resize` method increases the capacity of the matrix by 50% and copies the existing vectors to the new matrix. B…

if __name__ == '__main__': unittest.main() ``` ### Interactive Debugging You can also use interactive debugging tools like `pdb` (Python Debugger) to step through the code and inspect variables: ```python import pdb def debug_vector…

return token except keycloak.exceptions.KeycloakError as e: # Handle authentication errors log_message('ERROR', f"Authentication error for user {username}", {'error': str(e)}) return None # FastAPI app a…

await caches.set(f"token_{username}", token, ttl=3600) # Cache for 1 hour return token except keycloak.exceptions.KeycloakError as e: # Handle authentication errors print(f"Authentication error: {e}") …

rate_limiter = RateLimiter(max_calls=100, period=60) # 100 calls per minute # Define a function to handle authentication async def authenticate(username, password): try: # Check cache first token = await caches.get(f"t…

'user_id': decoded_token['user_id'], 'exp': int(datetime.datetime.utcnow().timestamp()) + token_expiration_time }, 'your_secret_key', algorithm='HS256') return new_token except jwt.exceptions.Inva…

logging.debug(f"Ranked data: {ranked_data}") return ranked_data except ValueError as e: logging.error(f"Error ranking data: {e}") return None # Example usage: query = "example query" data = retrieve_data…

# Retrieve the serialized results from Redis serialized_results = redis_client.get(key) if serialized_results: # Deserialize the results results = pickle.loads(serialized_results) return results retur…

row (pd.Series): Series representing a row of the DataFrame. Returns: str: Classification of error rate ('high_error', 'medium_error', 'low_error'). """ try: error_rate = row['error_rate'] if error_rate …

- Replace the placeholder `perform_reformulation_logic` function with your actual reformulation logic. - Ensure that any external dependencies or resource-intensive operations are handled properly. 3. **Error Handling**: - Catch e…

logging.error(f'Resource limitation error for query "{query}": {e}') return None except ValueError as e: logging.error(f'Value error for query "{query}": {e}') return None except TimeoutError as e: …

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…