8ea98360c3
This commit refactors the training workflow and associated activities to raise exceptions on failure instead of returning success/failure dictionaries. This allows the Temporal workflow to handle errors more effectively and ensures that the workflow stops when a critical error occurs. Key changes: - The train_model workflow is introduced to orchestrate the entire training process, including parameter validation, data download, model training, and model saving. - The validate_train_params activity is added to validate and convert training parameters. - The train_model and save_model activities are updated to raise exceptions on failure. - The ExperimentStatus enum is updated to include a new status for orchestrator validation errors. - The tests are updated to reflect the new exception-based error handling. - The activities now return the TrainModelResult directly instead of a dictionary.
16 KiB
16 KiB