SIENTIAPDE-1478

Enhance Activities and Prediction Workflows with PI Web API Integration

- Updated the Activities class to include API integration, allowing for configuration of PI Web API parameters.
- Modified prediction workflows to support output configuration for PI Web API, enabling data writing to the API.
- Refactored connectors_config.py by removing unused PostgreSQL and MongoDB configuration functions.
- Added tests to validate the new PI Web API functionality in activities and workflows, ensuring robust integration and functionality.
This commit is contained in:
vitor-aignosi
2026-01-08 16:04:19 -03:00
parent 33874ea1fb
commit 892823df11
14 changed files with 783 additions and 157 deletions

View File

@@ -3,8 +3,10 @@ from unittest.mock import ANY, AsyncMock, MagicMock, patch
from pytest import mark
from laborious.activities.activities import Activities
from laborious.activities.api import API
from laborious.activities.gates import Gates
from laborious.activities.mlflow import MLFlow
from laborious.activities.model_metrics import ModelMetrics
from laborious.activities.opc import OPC
from laborious.activities.storage import Storage
@@ -13,9 +15,17 @@ from laborious.activities.storage import Storage
@patch('laborious.activities.activities.MLFlow.__init__')
@patch('laborious.activities.activities.OPC.__init__')
@patch('laborious.activities.activities.Gates.__init__')
@patch('laborious.activities.activities.ModelMetrics.__init__')
@patch('laborious.activities.activities.API.__init__')
@patch('laborious.activities.activities.MetricsController')
def test___init__(
mock_metrics_controller, mock_gates_init, mock_opc_init, mock_mlflow_init, mock_storage_init
mock_metrics_controller,
mock_api_init,
mock_model_metrics_init,
mock_gates_init,
mock_opc_init,
mock_mlflow_init,
mock_storage_init,
):
postgres_config = {
'host': 'localhost',
@@ -43,6 +53,12 @@ def test___init__(
'group_id': 'test-group',
}
pi_web_api_config = {
'base_url': 'https://test-pi-server.com',
'auth_type': 'bearer',
'auth_token': 'test_token',
}
logger = MagicMock()
notification_handler = MagicMock()
@@ -51,6 +67,7 @@ def test___init__(
mlflow_config=mlflow_config,
minio_config=minio_config,
opc_config=opc_config,
pi_web_api_config=pi_web_api_config,
logger=logger,
notification_handler=notification_handler,
)
@@ -60,6 +77,8 @@ def test___init__(
assert isinstance(activities, MLFlow)
assert isinstance(activities, OPC)
assert isinstance(activities, Gates)
assert isinstance(activities, ModelMetrics)
assert isinstance(activities, API)
mock_storage_init.assert_called_once_with(
ANY,
@@ -103,13 +122,39 @@ def test___init__(
metrics_controller=mock_metrics_controller.return_value,
)
mock_model_metrics_init.assert_called_once_with(
ANY,
logger=logger,
notification_handler=notification_handler,
metrics_controller=mock_metrics_controller.return_value,
)
mock_api_init.assert_called_once_with(
ANY,
base_url=pi_web_api_config['base_url'],
auth_type=pi_web_api_config['auth_type'],
auth_token=pi_web_api_config['auth_token'],
logger=logger,
notification_handler=notification_handler,
metrics_controller=mock_metrics_controller.return_value,
)
@mark.asyncio
@patch('laborious.activities.activities.Storage')
@patch('laborious.activities.activities.MLFlow')
@patch('laborious.activities.activities.OPC')
@patch('laborious.activities.activities.Gates')
async def test_shutdown(mock_gates_init, mock_opc_init, mock_mlflow_init, mock_storage_init):
@patch('laborious.activities.activities.ModelMetrics')
@patch('laborious.activities.activities.API')
async def test_shutdown(
mock_api_init,
mock_model_metrics_init,
mock_gates_init,
mock_opc_init,
mock_mlflow_init,
mock_storage_init,
):
mock_opc_init.close = AsyncMock()
postgres_config = {
'host': 'localhost',
@@ -137,6 +182,12 @@ async def test_shutdown(mock_gates_init, mock_opc_init, mock_mlflow_init, mock_s
'group_id': 'test-group',
}
pi_web_api_config = {
'base_url': 'https://test-pi-server.com',
'auth_type': 'bearer',
'auth_token': 'test_token',
}
logger = MagicMock()
notification_handler = MagicMock()
@@ -145,6 +196,7 @@ async def test_shutdown(mock_gates_init, mock_opc_init, mock_mlflow_init, mock_s
mlflow_config=mlflow_config,
minio_config=minio_config,
opc_config=opc_config,
pi_web_api_config=pi_web_api_config,
logger=logger,
notification_handler=notification_handler,
)
@@ -154,3 +206,5 @@ async def test_shutdown(mock_gates_init, mock_opc_init, mock_mlflow_init, mock_s
mock_storage_init.close.assert_called_once()
mock_mlflow_init.close.assert_called_once()
mock_gates_init.close.assert_called_once()
mock_model_metrics_init.close.assert_called_once()
mock_api_init.close.assert_called_once()

View File

@@ -0,0 +1,254 @@
from unittest.mock import ANY, AsyncMock, MagicMock, call, patch
import pytest_asyncio
from pandas import DataFrame
from pytest import fixture, mark
from sientia_do.notifications.models import NotificationLevel
from laborious.activities.api import API, PI_WEB_API_PREDICTION_ERROR_CONFIDENCE
metadata = {
'metadata': {
'model_id': 'test_model',
'model_name': 'test_model',
'workflow_name': 'test_workflow',
'schema_name': 'test_schedule',
},
}
def _create_mock_dataframe(to_dict_return=None):
"""Helper function to create a mocked DataFrame for testing."""
mock_df = MagicMock()
mock_head = MagicMock()
def get_column_values(key):
if key == 'prediction':
return MagicMock(values=[0.75])
elif key == 'prediction_confidence':
return MagicMock(values=[0.95])
else:
return MagicMock(values=['2024-01-01T00:00:00+00:00'])
mock_head.__getitem__.side_effect = get_column_values
mock_df.head.return_value = mock_head
if to_dict_return is None:
to_dict_return = {
'prediction': [0.75],
'prediction_confidence': [0.95],
'timestamp': ['2024-01-01T00:00:00+00:00'],
}
mock_df.to_dict.return_value = to_dict_return
return mock_df
@fixture
def base_input_data():
"""Base input data for PI Web API tests."""
return {
**metadata,
'data': {
'prediction': [0.75],
'prediction_confidence': [0.95],
'timestamp': ['2024-01-01T00:00:00+00:00'],
},
'pi_web_api_output_config': {
'endpoint': 'https://test-pi-server.com/piwebapi',
'prediction_tags': {'tag1': 'web_id_1'},
'confidence_tags': {'tag2': 'web_id_2'},
},
}
def test__init__():
api = API(
base_url='https://test-pi-server.com',
auth_type='bearer',
auth_token='test_token',
logger=MagicMock(),
notification_handler=MagicMock(),
metrics_controller=AsyncMock(),
)
assert api.pi_web_api_client is not None
@pytest_asyncio.fixture
@patch('laborious.activities.api.PIWebAPIClient')
def api(mock_pi_web_api_client):
mock_client = MagicMock()
mock_client.write_value = AsyncMock()
mock_client.close = MagicMock()
mock_pi_web_api_client.return_value = mock_client
api_instance = API(
base_url='https://test-pi-server.com',
auth_type='bearer',
auth_token='test_token',
logger=MagicMock(),
notification_handler=MagicMock(),
metrics_controller=AsyncMock(),
)
api_instance.send_notification_async = AsyncMock()
api_instance.info = MagicMock()
return api_instance
@mark.asyncio
@patch('laborious.activities.api.DataFrame')
async def test_write_pi_web_api_data_success(mock_dataframe, api, base_input_data):
input_data = {
**base_input_data,
'pi_web_api_output_config': {
'endpoint': 'https://test-pi-server.com/piwebapi',
'prediction_tags': {'tag1': 'web_id_1', 'tag2': 'web_id_2'},
'confidence_tags': {'tag3': 'web_id_3', 'tag4': 'web_id_4'},
},
}
mock_dataframe.return_value = _create_mock_dataframe()
result = await api.write_pi_web_api_data(input_data)
api.info.assert_called_once_with('Writing data to PI Web API...', metadata['metadata'])
api.pi_web_api_client.write_value.assert_has_calls(
[
call(
web_ids=['web_id_1', 'web_id_2'],
value={
'Timestamp': '2024-01-01T00:00:00+00:00',
'Value': 0.75,
},
endpoint='https://test-pi-server.com/piwebapi',
metadata=metadata['metadata'],
),
call(
web_ids=['web_id_3', 'web_id_4'],
value={
'Timestamp': '2024-01-01T00:00:00+00:00',
'Value': 0.95,
},
endpoint='https://test-pi-server.com/piwebapi',
metadata=metadata['metadata'],
),
]
)
assert result == {
'prediction': [0.75],
'prediction_confidence': [0.95],
'timestamp': ['2024-01-01T00:00:00+00:00'],
}
@mark.asyncio
@patch('laborious.activities.api.DataFrame')
async def test_write_pi_web_api_data_prediction_error(mock_dataframe, api, base_input_data):
mock_dataframe.return_value = _create_mock_dataframe({
'prediction': [0.75],
'prediction_confidence': [PI_WEB_API_PREDICTION_ERROR_CONFIDENCE],
'timestamp': ['2024-01-01T00:00:00+00:00'],
})
api.pi_web_api_client.write_value.side_effect = Exception('Prediction write failed')
result = await api.write_pi_web_api_data(base_input_data)
api.send_notification_async.assert_called_once_with(
metadata=metadata['metadata'],
notification_id='WRITE_PI_WEB_API_PREDICTION_ERROR',
message='Error writing prediction data to PI Web API: Prediction write failed\n Tags: {\'tag1\': \'web_id_1\'}',
block='write_pi_web_api_data',
level=NotificationLevel.ERROR,
attachment_content=ANY,
)
assert result['prediction_confidence'][0] == PI_WEB_API_PREDICTION_ERROR_CONFIDENCE
assert api.pi_web_api_client.write_value.call_count == 1
@mark.asyncio
@patch('laborious.activities.api.DataFrame')
async def test_write_pi_web_api_data_confidence_error(mock_dataframe, api, base_input_data):
mock_dataframe.return_value = _create_mock_dataframe()
api.pi_web_api_client.write_value.side_effect = [
None,
Exception('Confidence write failed'),
]
result = await api.write_pi_web_api_data(base_input_data)
api.send_notification_async.assert_called_once_with(
metadata=metadata['metadata'],
notification_id='WRITE_PI_WEB_API_CONFIDENCE_ERROR',
message='Error writing confidence data to PI Web API: Confidence write failed\n Tags: {\'tag2\': \'web_id_2\'}',
block='write_pi_web_api_data',
level=NotificationLevel.ERROR,
attachment_content=ANY,
)
assert result == {
'prediction': [0.75],
'prediction_confidence': [0.95],
'timestamp': ['2024-01-01T00:00:00+00:00'],
}
assert api.pi_web_api_client.write_value.call_count == 2
@mark.asyncio
@patch('laborious.activities.api.DataFrame')
async def test_write_pi_web_api_data_empty_tags(mock_dataframe, api, base_input_data):
input_data = {
**base_input_data,
'pi_web_api_output_config': {
'endpoint': 'https://test-pi-server.com/piwebapi',
'prediction_tags': {},
'confidence_tags': {},
},
}
mock_dataframe.return_value = _create_mock_dataframe()
result = await api.write_pi_web_api_data(input_data)
api.pi_web_api_client.write_value.assert_has_calls(
[
call(
web_ids=[],
value={
'Timestamp': '2024-01-01T00:00:00+00:00',
'Value': 0.75,
},
endpoint='https://test-pi-server.com/piwebapi',
metadata=metadata['metadata'],
),
call(
web_ids=[],
value={
'Timestamp': '2024-01-01T00:00:00+00:00',
'Value': 0.95,
},
endpoint='https://test-pi-server.com/piwebapi',
metadata=metadata['metadata'],
),
]
)
assert result == {
'prediction': [0.75],
'prediction_confidence': [0.95],
'timestamp': ['2024-01-01T00:00:00+00:00'],
}
@mark.asyncio
async def test_close(api):
api.close()
api.pi_web_api_client.close.assert_called_once()

View File

@@ -3,9 +3,7 @@ from os import environ
from laborious.utils.connectors_config import (
build_minio_config,
build_mlflow_config,
build_mongodb_config,
build_opc_config,
build_postgres_config,
)
@@ -92,79 +90,6 @@ def test_build_opc_config_with_defaults():
assert config['1']['reconnection_interval'] == 120
def test_build_postgres_config_with_env_vars():
# Arrange
environ['POSTGRES_HOST'] = 'test-host'
environ['POSTGRES_PORT'] = '5433'
environ['POSTGRES_USER'] = 'test-user'
environ['POSTGRES_PASSWORD'] = 'test-pass'
environ['POSTGRES_DBNAME'] = 'test-db'
environ['POSTGRES_MIN_CONNECTIONS'] = '10'
environ['POSTGRES_MAX_CONNECTIONS'] = '30'
# Act
config = build_postgres_config()
# Assert
assert config['host'] == 'test-host'
assert config['port'] == 5433
assert config['user'] == 'test-user'
assert config['password'] == 'test-pass'
assert config['dbname'] == 'test-db'
assert config['min_connections'] == 10
assert config['max_connections'] == 30
def test_build_postgres_config_with_defaults():
# Arrange
environ.pop('POSTGRES_HOST', None)
environ.pop('POSTGRES_PORT', None)
environ.pop('POSTGRES_USER', None)
environ.pop('POSTGRES_PASSWORD', None)
environ.pop('POSTGRES_DBNAME', None)
environ.pop('POSTGRES_MIN_CONNECTIONS', None)
environ.pop('POSTGRES_MAX_CONNECTIONS', None)
# Act
config = build_postgres_config()
# Assert
assert config['host'] == 'localhost'
assert config['port'] == 5432
assert config['user'] == 'sientia'
assert config['password'] == 'sientia'
assert config['dbname'] == 'sientia'
assert config['min_connections'] == 5
assert config['max_connections'] == 20
def test_build_mongo_db_config_with_env_vars():
environ['MONGODB_USERNAME'] = 'sientia1'
environ['MONGODB_PASSWORD'] = 'sientia1'
environ['MONGODB_URL'] = 'localhost:27018'
environ['MONGODB_DATABASE_NAME'] = 'test_db'
environ['MONGODB_TTL_INDEX_HOURS'] = '1'
assert build_mongodb_config() == {
'connection_string': 'mongodb://sientia1:sientia1@localhost:27018',
'database_name': 'test_db',
'ttl_index_seconds': 3600,
}
def test_build_mongo_db_config_with_defaults():
environ.pop('MONGODB_USERNAME', None)
environ.pop('MONGODB_PASSWORD', None)
environ.pop('MONGODB_DATABASE_NAME', None)
environ.pop('MONGODB_URL', None)
environ.pop('MONGODB_TTL_INDEX_HOURS', None)
assert build_mongodb_config() == {
'connection_string': 'mongodb://root:wKZDbMNU1c@localhost:27018',
'database_name': 'sientia',
'ttl_index_seconds': 3600,
}
def test_build_minio_config_with_env_vars():
environ['MINIO_ENDPOINT_URL'] = 'http://test-host'
environ['MINIO_ACCESS_KEY'] = 'test-key'

View File

@@ -375,3 +375,269 @@ async def test_run_default_path_flag(workflow_mock, format_and_export_prediction
assert workflow_mock.execute_activity_method.call_count == 3
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_pi_web_api(workflow_mock, format_and_export_prediction):
input_data = {
'metadata': metadata,
'path_flag': None,
'data': {'test': 'data'},
'timestamp': '2021-01-01',
'model_id': 1,
'prediction_confidence': 0,
'schema': 'test_schema',
'table_name': 'test_table',
'pi_web_api_output_config': {'endpoint': 'https://test-pi-server.com', 'prediction_tags': {}, 'confidence_tags': {}},
'prediction_store_policy': 'erl:1',
}
pi_web_api_data = MagicMock()
workflow_mock.execute_activity_method.side_effect = [
pi_web_api_data, # write_pi_web_api_data
MagicMock(), # export_data_to_postgres
MagicMock(), # write_metrics
]
await format_and_export_prediction.run(input_data)
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,
)
]
)
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.write_pi_web_api_data,
{
'pi_web_api_output_config': input_data['pi_web_api_output_config'],
'data': workflow_mock.execute_local_activity_method.return_value,
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
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': pi_web_api_data,
'timestamp_conversion': {
'column': 'timestamp',
'format': DATETIME_FORMAT_WITH_TZ,
},
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.write_metrics,
{
**metadata,
'prediction': pi_web_api_data,
'opc_metrics': {},
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
assert workflow_mock.execute_activity_method.call_count == 3
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_pi_web_api_and_opc(workflow_mock, format_and_export_prediction):
input_data = {
'metadata': metadata,
'path_flag': None,
'data': {'test': 'data'},
'timestamp': '2021-01-01',
'model_id': 1,
'prediction_confidence': 0,
'schema': 'test_schema',
'table_name': 'test_table',
'opc_output_config': {'test': 'config'},
'pi_web_api_output_config': {'endpoint': 'https://test-pi-server.com', 'prediction_tags': {}, 'confidence_tags': {}},
'prediction_store_policy': 'erl:1',
}
prediction_data = MagicMock()
pi_web_api_data = MagicMock()
opc_metrics = MagicMock()
workflow_mock.execute_activity_method.side_effect = [
pi_web_api_data, # write_pi_web_api_data
(prediction_data, opc_metrics), # write_opc_data
MagicMock(), # export_data_to_postgres
MagicMock(), # write_metrics
]
await format_and_export_prediction.run(input_data)
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.write_pi_web_api_data,
{
'pi_web_api_output_config': input_data['pi_web_api_output_config'],
'data': workflow_mock.execute_local_activity_method.return_value,
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
),
call(
Activities.write_opc_data,
{
'opc_output_config': input_data['opc_output_config'],
'data': pi_web_api_data,
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
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,
)
]
)
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 workflow_mock.execute_activity_method.call_count == 4
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_default_path_flag_with_pi_web_api(workflow_mock, format_and_export_prediction):
input_data = {
'metadata': metadata,
'path_flag': 'default',
'data': {'test': 'data'},
'timestamp': '2021-01-01',
'model_id': 1,
'prediction_confidence': 0,
'schema': 'test_schema',
'table_name': 'test_table',
'pi_web_api_output_config': {'endpoint': 'https://test-pi-server.com', 'prediction_tags': {}, 'confidence_tags': {}},
'comment': 'test_comment',
}
pi_web_api_data = MagicMock()
workflow_mock.execute_activity_method.side_effect = [
pi_web_api_data, # write_pi_web_api_data
MagicMock(), # export_data_to_postgres
MagicMock(), # write_metrics
]
await format_and_export_prediction.run(input_data)
workflow_mock.execute_activity_method.assert_has_calls(
[
call(
Activities.write_pi_web_api_data,
{
'pi_web_api_output_config': input_data['pi_web_api_output_config'],
'data': workflow_mock.execute_local_activity_method.return_value,
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
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': pi_web_api_data,
'timestamp_conversion': {
'column': 'timestamp',
'format': DATETIME_FORMAT_WITH_TZ,
},
**metadata,
},
retry_policy=ANY,
start_to_close_timeout=ANY,
)
]
)
assert workflow_mock.execute_activity_method.call_count == 3
assert workflow_mock.execute_local_activity_method.call_count == 1

View File

@@ -40,6 +40,7 @@ async def test_run(workflow_mock, prediction_process):
'model_config': {'retention': '30'},
'path_priority': ['continue', 'repeat', 'stop'],
'opc_output_config': {'test': 'config'},
'pi_web_api_output_config': {'test': 'config'},
'prediction_store_policy': 'lts:1',
}
@@ -183,6 +184,7 @@ async def test_run(workflow_mock, prediction_process):
'model_name': 'test_model_name',
'model_config': input_data['model_config'],
'opc_output_config': input_data['opc_output_config'],
'pi_web_api_output_config': input_data['pi_web_api_output_config'],
'schema': input_data['schema'],
'table_name': input_data['table_name'],
'transform_table_name': input_data['transform_table_name'],
@@ -729,6 +731,7 @@ async def test_path_flag_handler_continue(workflow_mock, prediction_process):
'model_name': model_name,
'model_config': model_config,
'opc_output_config': {'test': 'config'},
'pi_web_api_output_config': {'endpoint': 'https://test-pi-server.com', 'prediction_tags': {}, 'confidence_tags': {}},
'prediction_store_policy': prediction_store_policy,
},
confidence,
@@ -755,6 +758,7 @@ async def test_path_flag_handler_continue(workflow_mock, prediction_process):
'transform_table_name': 'test_transform_table',
'comment': 'Prediction Process',
'opc_output_config': {'test': 'config'},
'pi_web_api_output_config': {'endpoint': 'https://test-pi-server.com', 'prediction_tags': {}, 'confidence_tags': {}},
'prediction_store_policy': prediction_store_policy,
},
)
@@ -788,6 +792,7 @@ async def test_path_flag_handler_unknown(workflow_mock, prediction_process):
'model_name': model_name,
'model_config': model_config,
'opc_output_config': {'test': 'config'},
'pi_web_api_output_config': {'endpoint': 'https://test-pi-server.com', 'prediction_tags': {}, 'confidence_tags': {}},
'prediction_store_policy': prediction_store_policy,
},
confidence,

View File

@@ -34,6 +34,7 @@ async def test_run(workflow_mock: AsyncMock, predictions_batch: PredictionsBatch
'table_name': 'test_table',
'transform_table_name': 'test_transform_table',
'opc_output_config': 'test_opc_output_config',
'pi_web_api_output_config': 'test_pi_web_api_output_config',
'datetime_columns': ['timestamp', 'created_at'],
'prediction_store_policy': 'erl:1',
'model_config': {'retention': '30'},
@@ -73,7 +74,9 @@ async def test_run(workflow_mock: AsyncMock, predictions_batch: PredictionsBatch
'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', {}),
'pi_web_api_output_config': input_data.get('pi_web_api_output_config', {}),
'prediction_store_policy': input_data.get('prediction_store_policy', 'lts:1'),
'save_transform': input_data.get('save_transform', True),
}
workflow_mock.execute_child_workflow.assert_has_calls(