Role Management

- Train the index using the combined embeddings. - Add the embeddings to the index. 4. **Querying**: - Generate a query embedding using the same multilingual model. - Perform the search using the FAISS index. ### Additional Co…

roles = userinfo.get('realm_access', {}).get('roles', []) return role_name in roles # Function to restrict access to dense data def restrict_dense_data_access(token): if has_role(token, 'dense-data-access'): print("Acce…

- **Load Testing**: Use tools like `wrk` or `locust` to perform load testing and ensure the endpoint can handle the required throughput. - **Monitoring**: Use tools like Prometheus and Grafana to monitor the endpoint's performance and healt…

- Generate a consistent seed based on the user's unique identifier (`user_id`) to ensure the same subset of data is returned for the same user. - Use the seed to initialize the random number generator to select a consistent subset of …

- Consider using Keycloak's fine-grained access control features, such as policies and permissions, to further restrict access to sensitive data. By following these steps and using the Keycloak Admin REST API, you can ensure that roles …

### Step 4: Implement Role-Based Access Control In the above example, the `get_tuning_data` endpoint requires the `tuning-data-access` role, and the `get_limited_tuning_data` endpoint requires the `limited-tuning-data-access` role. The `fe…

return jsonify({"error": "Unauthorized"}), 403 if __name__ == '__main__': app.run(debug=True) ``` ### Explanation 1. **Keycloak Initialization**: The `keycloak_config` is initialized with the necessary details to connect to y…

role_name = "expanded-data-access" client_id = "account" # Replace with the actual client ID assign_role(user_id, role_name, client_id) ``` ### Explanation 1. **Initialize Keycloak Admin**: - Initialize the Keycloak admin client with…