QTZPOC-20: Implement .sientia model bundle import workflow Introduces a new Temporal workflow and activities to import .sientia model bundles. This enables: - Secure decryption and validation of bundles through a seven-gate process. - Provisioning imported models in MLflow and updating the MongoDB model listing. - Comprehensive status tracking in the public.experiment_run table with new IMPORT_SUCCESS/IMPORT_ERROR states. - Dedicated metrics, robust error handling, and configurable settings. - Includes updated e2e database fixtures and extensive unit/integration tests for bundle format, reader, and overall workflow.
25 lines
703 B
JSON
25 lines
703 B
JSON
{
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"parameters": {
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"model_name": "fixture_model",
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"target_variable": "SE",
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"input_variables": "['feature_a', 'feature_b']",
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"models_params": "{'alpha': 0.1}",
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"nan_treatment": "drop",
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"scaler_name": "StandardScaler",
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"train_size": "0.8",
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"test_size": "0.2",
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"include_ar": "False",
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"retrain": "False",
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"start_date": "2026-01-01 00:00:00",
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"end_date": "2026-08-01 00:00:00"
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},
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"metadata": {
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"model_name": "fixture_model",
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"experiment_name": "fixture_experiment",
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"run_id": "8f14e45fceea167a5a36dedd4bea2543",
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"model_version": "3",
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"model_project": "fixture_project",
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"export_timestamp": "2026-08-25T12:08:59.533441+00:00"
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}
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}
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