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sientia-dataops-laborious-l…/tests/laborious/activities/test_opc.py
vitor-aignosi 50e6479c49 SIENTIAPDE-1110
Refactor notification handling in Gates and OPC activities to use send_notification method with metadata integration, enhancing error reporting and traceability.
2025-07-04 15:19:14 -03:00

241 lines
6.6 KiB
Python

from unittest.mock import patch, MagicMock, ANY, call
from pandas import DataFrame
from pytest import fixture, mark
from laborious.activities.opc import NotificationLevel
from laborious.activities.opc import OPC
metadata = {
"metadata": {
"model_id": "test_model",
"model_name": "test_model",
"workflow_name": "test_workflow",
"schema_name": "test_schedule",
},
}
@patch("laborious.activities.opc.OpcRepository")
def test___init__(mock_opc_repository):
mock_logger = MagicMock()
server1 = MagicMock()
server2 = MagicMock()
mock_opc_repository.side_effect = [server1, server2]
mock_notification_handler = MagicMock()
servers = {
'server1': {
'id': 'server1',
'url': 'http://localhost:8080',
'server_uri': 'opc.tcp://localhost:4840',
'cert_path': '',
'private_key_path': '',
'server_cert_path': '',
'reconnection_interval': 60,
},
'server2': {
'id': 'server2',
'url': 'http://localhost:8080',
'server_uri': 'opc.tcp://localhost:4840',
'cert_path': '',
'private_key_path': '',
'server_cert_path': '',
'reconnection_interval': 60,
}
}
opc = OPC(
opc_servers=servers,
logger=mock_logger,
notification_handler=mock_notification_handler
)
assert opc.opc_servers == servers
assert opc.logger == mock_logger
assert opc.notification_handler == mock_notification_handler
assert opc.opc_repository['server1'] == server1
assert opc.opc_repository['server2'] == server2
mock_opc_repository.assert_has_calls([
call(
id="server1",
url="http://localhost:8080",
logger=mock_logger,
server_uri="opc.tcp://localhost:4840",
cert_path="",
private_key_path="",
server_cert_path="",
notification_handler=mock_notification_handler,
reconnection_interval=60,
),
])
mock_opc_repository.assert_has_calls([
call(
id="server2",
url="http://localhost:8080",
logger=mock_logger,
server_uri="opc.tcp://localhost:4840",
cert_path="",
private_key_path="",
server_cert_path="",
notification_handler=mock_notification_handler,
reconnection_interval=60,
)
])
server1.connect.assert_called_once()
server2.connect.assert_called_once()
@fixture
@patch("laborious.activities.opc.OpcRepository")
def opc(mock_opc_repository):
servers = {
'server1': {
'id': 'server1',
'url': 'http://localhost:8080',
'server_uri': 'opc.tcp://localhost:4840',
'cert_path': '',
'private_key_path': '',
'server_cert_path': '',
'reconnection_interval': 60,
}
}
mock_opc_repository.write_data = MagicMock(
return_value=True
)
opc = OPC(
opc_servers=servers,
logger=MagicMock(),
notification_handler=MagicMock()
)
opc.send_notification = MagicMock()
return opc
WRITE_DATA_CASES = [
('tag1', 'int', 50),
('tag2', 'float', 50.5),
('tag3', 'bool', True),
('tag4', 'string', 'test'),
]
@mark.parametrize('tag,data_type,data', WRITE_DATA_CASES)
def test_write_data_success(opc, tag, data_type, data):
assert opc.write_data(server_id='server1', tag=tag, data=data,
data_type=data_type, tag_type='prediction', metadata=metadata)
opc.opc_repository['server1'].write_data.assert_called_once_with(
tag, data, data_type, opc.logger, metadata)
def test_write_data_exception(opc):
opc.opc_repository['server1'].write_data.side_effect = Exception(
"Test error")
try:
opc.write_data(server_id='server1', tag='tag1', data=50,
data_type='int', tag_type='prediction', metadata=metadata)
except Exception:
opc.send_notification.assert_called_once_with(
metadata=metadata,
notification_id="WRITE_OPC_PREDICTION_ERROR",
message="Error writing data to OPC server: Test error",
block="write_opc_data",
level=NotificationLevel.ERROR,
attachment_content=ANY
)
else:
assert False, "Expected an exception to be raised"
@mark.asyncio
async def test_write_opc_data_success(opc):
# Arrange
input_data = {
**metadata,
'data': {
'prediction': [0.75],
'prediction_confidence': [0.95]
},
'opc_output_config': {
'server1': {
'prediction_tags': {
'tag1': {'data_type': 'float'}
},
'confidence_tags': {
'tag2': {'data_type': 'float'}
}
}
}
}
# Act
opc.write_data = MagicMock()
opc.process_confidence = MagicMock(return_value={'data': 'data'})
output = await opc.write_opc_data(input_data)
# Assert
assert output == {'data': 'data'}
opc.write_data.assert_has_calls([
call(
server_id='server1',
tag='tag1',
data=0.75,
data_type='float',
tag_type='prediction',
metadata=metadata['metadata']
)])
opc.write_data.assert_has_calls([
call(
server_id='server1',
tag='tag2',
data=0.95,
data_type='float',
tag_type='confidence',
metadata=metadata['metadata']
)
])
assert opc.write_data.call_count == 2
@mark.asyncio
async def test_write_opc_data_empty_config(opc):
# Arrange
input_data = {
**metadata,
'data': {
'prediction': [0.75],
'prediction_confidence': [0.95]
},
'opc_servers': ['server1'],
'opc_output_config': {
'prediction_tags': {},
'confidence_tags': {}
}
}
# Act
await opc.write_opc_data(input_data)
# Assert
opc.opc_repository['server1'].write_data.assert_not_called()
@mark.parametrize('data,success,expected', [
(DataFrame({'prediction_confidence': [0]}), True, 0),
(DataFrame({'prediction_confidence': [0]}), False, 12),
])
def test_process_confidence(opc, data, success, expected):
# Act
result = opc.process_confidence(data, success, metadata)
# Assert
assert result['prediction_confidence'][0] == expected
def test_shutdown(opc):
opc.shutdown()
opc.opc_repository['server1'].disconnect.assert_called_once()