SIENTIAPDE-1579: Updated tests
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@@ -6,12 +6,13 @@ Steps performed (default):
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2. Insert a new experiment_run record in Postgres and capture the generated ID.
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3. Trigger the Temporal `train_model` workflow with the correct payload.
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Local diagnosis (--local / --validate-only):
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Alternatives for local diagnosis (--local / --validate-only):
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- example: python scripts/run_training_test.py --scenario 01-linear-regression-basic --local --csv docs/test-model-data.csv
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- --validate-only: Validates scenario parameters only (no MinIO, Postgres, Temporal).
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- --local: Runs the same training pipeline locally (validate + load CSV + train +
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after_train_calculation). Use to get full Python tracebacks for debugging.
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Does not upload to MinIO, insert DB, or start Temporal. By default skips
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MLflow save; use --local-save-mlflow to also test saving to MLflow.
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Does not upload to MinIO, insert DB, or start Temporal.
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By default skips MLflow save; use --local-save-mlflow to also test saving to MLflow.
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Prerequisites (default flow):
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- `mc` CLI configured with alias defined in MINIO_ALIAS.
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