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sientia-dataops-laborious_t…/e2e/test_opc_real_server.py
vitor-aignosi f794d9e11e Snapshot of fix/QTZPOC-13 source tree
Code-only import without upstream history.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 11:50:01 -03:00

212 lines
6.7 KiB
Python

"""
E2E tests for OPC export using an in-process asyncua server and real OpcRepository.
Covers scenarios 3.1.2, 3.2.2, 3.2.4, and 3.2.5 from e2e/scenarios.md.
Mock-based OPC tests remain in test_predictions_batch_format_export.py.
"""
import asyncio
import pytest
from temporalio.testing import WorkflowEnvironment
from temporalio.worker import Worker
from e2e.helpers import (
assert_prediction,
insert_sample_data,
make_workflow_id,
start_and_await_workflow,
)
from e2e.opc_test_server import UNKNOWN_NODE_ID, OpcE2ETestServer, build_opc_output_config
from e2e.test_predictions_batch_format_export import get_base_input_data
from laborious.activities.activities import Activities
from laborious.activities.opc import OPC_RECONNECT_IN_PROGRESS_COMMENT
from laborious.utils.repository.opc_repository import OpcRepository
from laborious.workflows.predictions_batch import PredictionsBatch
async def _reconnect_under_held_lock(
repo: OpcRepository, acquired: asyncio.Event, release: asyncio.Event
) -> None:
"""
Hold the connection lock until released, then reconnect.
The lock must stay held for the whole workflow, and how long the workflow takes to
reach the OPC write is not bounded — a fixed sleep here lets `_reconnect_locked`
finish first, which sets `_session_ready` again and the write then succeeds.
Args:
repo (OpcRepository): Connected repository.
acquired (asyncio.Event): Set once the lock is held, before any write can race.
release (asyncio.Event): Awaited while holding the lock; set by the caller.
"""
async with repo._connection_lock:
acquired.set()
await release.wait()
await repo._reconnect_locked()
@pytest.mark.asyncio
@pytest.mark.integration
@pytest.mark.opc
async def test_scenario_3_1_2_export_with_opc_only_real_server(
temporal_test_env: WorkflowEnvironment,
temporal_worker_real_opc: Worker,
test_activities_real_opc: Activities,
opc_e2e_server: OpcE2ETestServer,
postgres_engine,
):
"""
Scenario 3.1.2 (real OPC): connect, write prediction and confidence, verify server values.
"""
client = temporal_test_env.client
model_id = 412
insert_sample_data(postgres_engine, model_id, [23.5, 78.2])
input_data = get_base_input_data(model_id)
input_data['opc_output_config'] = build_opc_output_config(opc_e2e_server.node_ids)
input_data['pi_web_api_output_config'] = None
await start_and_await_workflow(
client,
PredictionsBatch.run,
input_data,
make_workflow_id('test-opc-real-happy'),
)
test_activities_real_opc.pi_web_api_client.write_value.assert_not_called()
assert await opc_e2e_server.read_prediction() == pytest.approx(0.5)
assert await opc_e2e_server.read_confidence() == pytest.approx(0.0)
assert_prediction(postgres_engine, model_id)
@pytest.mark.asyncio
@pytest.mark.integration
@pytest.mark.opc
async def test_scenario_3_2_2_opc_write_error_real_server(
temporal_test_env: WorkflowEnvironment,
temporal_worker_real_opc: Worker,
test_activities_real_opc: Activities,
opc_e2e_server: OpcE2ETestServer,
postgres_engine,
):
"""
Scenario 3.2.2 (real OPC): unknown NodeId yields generic write failure (confidence 12).
"""
client = temporal_test_env.client
model_id = 422
insert_sample_data(postgres_engine, model_id, [23.5, 78.2])
node_ids = opc_e2e_server.node_ids
input_data = get_base_input_data(model_id)
input_data['opc_output_config'] = build_opc_output_config(
node_ids,
prediction_tag=UNKNOWN_NODE_ID,
confidence_tag=UNKNOWN_NODE_ID,
)
input_data['pi_web_api_output_config'] = None
await start_and_await_workflow(
client,
PredictionsBatch.run,
input_data,
make_workflow_id('test-opc-real-bad-node'),
)
assert_prediction(
postgres_engine,
model_id,
prediction_confidence=12,
comments='Some data could not be written to OPC servers',
)
@pytest.mark.asyncio
@pytest.mark.integration
@pytest.mark.opc
async def test_scenario_3_2_4_opc_session_bad_real_server(
temporal_test_env: WorkflowEnvironment,
temporal_worker_real_opc: Worker,
test_activities_real_opc: Activities,
opc_e2e_server: OpcE2ETestServer,
postgres_engine,
):
"""
Scenario 3.2.4 (real OPC): server PreWrite fault injects BadSessionIdInvalid (confidence 14).
"""
client = temporal_test_env.client
model_id = 424
insert_sample_data(postgres_engine, model_id, [23.5, 78.2])
opc_e2e_server.set_session_bad_on_write(True)
try:
input_data = get_base_input_data(model_id)
input_data['opc_output_config'] = build_opc_output_config(
opc_e2e_server.node_ids,
prediction_only=True,
)
input_data['pi_web_api_output_config'] = None
await start_and_await_workflow(
client,
PredictionsBatch.run,
input_data,
make_workflow_id('test-opc-real-session-bad'),
)
finally:
opc_e2e_server.set_session_bad_on_write(False)
assert_prediction(
postgres_engine,
model_id,
prediction_confidence=14,
comments_contains='OPC UA session/channel error: BadSessionIdInvalid',
)
@pytest.mark.asyncio
@pytest.mark.integration
@pytest.mark.opc
async def test_scenario_3_2_5_opc_write_blocked_during_reconnect_real_server(
temporal_test_env: WorkflowEnvironment,
temporal_worker_real_opc: Worker,
test_activities_real_opc: Activities,
opc_e2e_server: OpcE2ETestServer,
postgres_engine,
):
"""
Scenario 3.2.5 (real OPC): writes rejected while reconnect holds the connection lock.
"""
client = temporal_test_env.client
model_id = 425
insert_sample_data(postgres_engine, model_id, [23.5, 78.2])
repo = test_activities_real_opc.opc_repository['1']
repo._session_ready.clear()
acquired = asyncio.Event()
release = asyncio.Event()
reconnect_task = asyncio.create_task(_reconnect_under_held_lock(repo, acquired, release))
await acquired.wait()
input_data = get_base_input_data(model_id)
input_data['opc_output_config'] = build_opc_output_config(opc_e2e_server.node_ids)
input_data['pi_web_api_output_config'] = None
try:
await start_and_await_workflow(
client,
PredictionsBatch.run,
input_data,
make_workflow_id('test-opc-real-reconnect-block'),
)
finally:
release.set()
await reconnect_task
assert_prediction(
postgres_engine,
model_id,
prediction_confidence=14,
comments_contains=OPC_RECONNECT_IN_PROGRESS_COMMENT,
)