SIENTIAPDE-1273

Enhance data handling and export processes in Laborious workflows

- Updated `gates.py` to improve data quality validation, filtering, and formatting operations, including enhanced metrics recording.
- Refined `mlflow.py` to better manage model transformations and reference data retrieval from MLflow Model Registry.
- Enhanced `format_and_export_prediction.py` to support separate export of transformed data, improving flexibility in data handling.
- Added comprehensive test coverage for new functionalities, including transformed data formatting and retrain report generation.
- Improved documentation in `README.md` to reflect changes in activities and workflows, ensuring clarity on data processing and export paths.
This commit is contained in:
vitor-aignosi
2025-11-17 16:52:33 -03:00
parent a88a15c60a
commit 07dc612116
7 changed files with 531 additions and 20 deletions

View File

@@ -125,6 +125,156 @@ async def test_run_none_path_flag(workflow_mock, format_and_export_prediction):
assert workflow_mock.execute_local_activity_method.call_count == 1
@mark.asyncio
@patch(
'laborious.workflows.sub_workflows.format_and_export_prediction.workflow',
new_callable=AsyncMock,
)
async def test_run_none_path_flag_with_transformed_data(
workflow_mock, format_and_export_prediction
):
# Arrange
input_data = {
'metadata': metadata,
'path_flag': None,
'data': {'test': 'data'},
'transformed_data': {'transformed': 'data'},
'timestamp': '2021-01-01',
'model_id': 1,
'prediction_confidence': 0.9,
'schema': 'test_schema',
'table_name': 'test_table',
'transform_table_name': 'test_transform_table',
'opc_servers': ['test_server'],
'opc_output_config': {'test': 'config'},
'prediction_store_policy': 'lts:1',
}
prediction_data = MagicMock()
opc_metrics = MagicMock()
transformed_data = MagicMock()
workflow_mock.execute_local_activity_method.side_effect = [
prediction_data, # format_prediction
transformed_data, # format_transformed_data
]
write_transformed_handler = AsyncMock()
workflow_mock.start_activity_method.return_value = write_transformed_handler
workflow_mock.execute_activity_method.side_effect = [
(prediction_data, opc_metrics), # write_opc_data
MagicMock(), # export_data_to_postgres (prediction)
MagicMock(), # write_metrics
]
# Act
await format_and_export_prediction.run(input_data)
# Assert - format_prediction call
workflow_mock.execute_local_activity_method.assert_has_calls(
[
call(
Activities.format_prediction,
{
'data': input_data['data'],
'timestamp': input_data['timestamp'],
'model_id': input_data['model_id'],
'prediction_confidence': input_data['prediction_confidence'],
'prediction_store_policy': input_data['prediction_store_policy'],
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
),
call(
Activities.format_transformed_data,
{
'data': input_data['transformed_data'],
'model_id': input_data['model_id'],
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
),
]
)
# Assert - start_activity_method for transformed data export
workflow_mock.start_activity_method.assert_called_once_with(
Activities.export_data_to_postgres,
{
'schema': input_data['schema'],
'table_name': input_data['transform_table_name'],
'data': transformed_data,
'timestamp_conversion': {
'column': 'timestamp',
'format': DATETIME_FORMAT_WITH_TZ,
},
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
# Assert - write_opc_data call
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.write_opc_data,
{
'opc_output_config': input_data['opc_output_config'],
'data': prediction_data,
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
# Assert - export_data_to_postgres for prediction call
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.export_data_to_postgres,
{
'schema': input_data['schema'],
'table_name': input_data['table_name'],
'data': prediction_data,
'timestamp_conversion': {
'column': 'timestamp',
'format': DATETIME_FORMAT_WITH_TZ,
},
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
# Assert - write_metrics call
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.write_metrics,
{
**metadata,
'prediction': prediction_data,
'opc_metrics': opc_metrics,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
# Assert - verify counts
assert workflow_mock.execute_activity_method.call_count == 3
assert workflow_mock.execute_local_activity_method.call_count == 2
assert workflow_mock.start_activity_method.call_count == 1
@mark.asyncio
@patch(
'laborious.workflows.sub_workflows.format_and_export_prediction.workflow',