SIENTIAPDE-1243: Initial commit of the model manager project, adding core files and configurations.

This commit introduces the initial project structure, including:
- .env.example: Example environment configuration.
- .github/workflows/quality-gate.yml: CI workflow for quality checks.
- .gitignore: Specifies intentionally untracked files that Git should ignore.
- Makefile: Automation of tasks like docker builds.
- README.md: Project documentation.
- Source code for model management, activities, utils, worker and workflows.
- Test suite.
- Dockerfile for the simulator.
- sonar-project.properties: SonarQube configuration file.
- values.yaml: Helm chart values for deployment.

tests/laborious/workflows/test_predictions_batch.py

@@ -0,0 +1,88 @@
+from unittest.mock import AsyncMock, call, patch, ANY
+from pytest import fixture, mark
+from laborious.activities.activities import Activities
+from laborious.workflows.predictions_batch import PredictionsBatch
+
+
+@fixture
+def predictions_batch() -> PredictionsBatch:
+    return PredictionsBatch()
+
+
+metadata = {
+    "metadata": {
+        "model_id": "test_model_id",
+        "model_name": "test_model",
+        "workflow_name": "predictions_batch",
+        "schedule_name": "test_schedule",
+    },
+}
+
+
+@mark.asyncio
+@patch('laborious.workflows.predictions_batch.workflow', new_callable=AsyncMock)
+async def test_run(workflow_mock: AsyncMock, predictions_batch: PredictionsBatch):
+    workflow_mock.execute_local_activity_method.return_value = {
+        'data': 'test_data'
+    }
+    input_data = {
+        'schedule_name': 'test_schedule',
+        'model_name': 'test_model',
+        'model_id': 'test_model_id',
+        'query': 'SELECT * FROM test',
+        'schema': 'test_schema',
+        'table_name': 'test_table',
+        'opc_output_config': 'test_opc_output_config',
+        'datetime_columns': ['timestamp', 'created_at'],
+        'prediction_store_policy': 'erl:1',
+        'model_config': {
+            'retention': '30'
+        }
+    }
+
+    await predictions_batch.run(input_data)
+
+    workflow_mock.execute_local_activity_method.assert_has_calls([
+        call(
+            Activities.load_custom_query,
+            {
+                **metadata,
+                'query': input_data['query'],
+                'datetime_columns': input_data.get('datetime_columns', [])
+            },
+            retry_policy=ANY,
+            start_to_close_timeout=ANY
+        )
+    ])
+    prediction_input = {
+        'metadata': metadata,
+        'data': {'data': 'test_data'},
+        'schema': input_data['schema'],
+        'table_name': input_data['table_name'],
+        'model_id': input_data['model_id'],
+        'model_name': input_data['model_name'],
+        'input_filters': input_data.get('input_filters', {
+            'EMPTY_DATA': {
+                'POLICY': 'STOP'
+            }
+        }),
+        'mlflow_transform_filters': input_data.get('mlflow_transform_filters', {
+            'API_ERROR': {
+                'POLICY': 'STOP'
+            }
+        }),
+        'mlflow_predict_filters': input_data.get('mlflow_predict_filters', {
+            'API_ERROR': {
+                'POLICY': 'STOP'
+            }
+        }),
+        'model_config': input_data.get('model_config', {}),
+        'path_priority': input_data.get('path_priority', ['STOP', 'CONTINUE', 'REPEAT']),
+        'opc_output_config': input_data.get('opc_output_config', {}),
+        'prediction_store_policy': input_data.get('prediction_store_policy', 'erl:1')
+    }
+
+    workflow_mock.execute_child_workflow.assert_has_calls([
+        call(
+            'prediction_process', prediction_input)
+    ])