649 lines
93 KiB
XML
649 lines
93 KiB
XML
<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="23" failures="35" skipped="2" tests="83" time="5.714" timestamp="2025-07-25T11:22:37.801499" hostname="543df414761a"><testcase classname="tests.test_api.TestTrainingAPI" name="test_health_check" time="0.030"><failure message="AttributeError: 'async_generator' object has no attribute 'get'">tests/test_api.py:20: in test_health_check
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response = await test_client.get("/health")
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E AttributeError: 'async_generator' object has no attribute 'get'</failure></testcase><testcase classname="tests.test_api.TestTrainingAPI" name="test_readiness_check_ready" time="0.069"><failure message="AttributeError: <starlette.datastructures.State object at 0xffff5ae06a10> does not have the attribute 'ready'">tests/test_api.py:32: in test_readiness_check_ready
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with patch('app.main.app.state.ready', True):
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/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
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original, local = self.get_original()
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/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
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raise AttributeError(
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E AttributeError: <starlette.datastructures.State object at 0xffff5ae06a10> does not have the attribute 'ready'</failure></testcase><testcase classname="tests.test_api.TestTrainingAPI" name="test_readiness_check_not_ready" time="0.030"><failure message="AttributeError: <starlette.datastructures.State object at 0xffff5ae06a10> does not have the attribute 'ready'">tests/test_api.py:42: in test_readiness_check_not_ready
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with patch('app.main.app.state.ready', False):
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/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
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original, local = self.get_original()
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/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
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raise AttributeError(
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E AttributeError: <starlette.datastructures.State object at 0xffff5ae06a10> does not have the attribute 'ready'</failure></testcase><testcase classname="tests.test_api.TestTrainingAPI" name="test_liveness_check_healthy" time="0.028"><failure message="AttributeError: 'async_generator' object has no attribute 'get'">tests/test_api.py:53: in test_liveness_check_healthy
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response = await test_client.get("/health/live")
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E AttributeError: 'async_generator' object has no attribute 'get'</failure></testcase><testcase classname="tests.test_api.TestTrainingAPI" name="test_liveness_check_unhealthy" time="0.027"><failure message="AttributeError: 'async_generator' object has no attribute 'get'">tests/test_api.py:63: in test_liveness_check_unhealthy
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response = await test_client.get("/health/live")
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E AttributeError: 'async_generator' object has no attribute 'get'</failure></testcase><testcase classname="tests.test_api.TestTrainingAPI" name="test_metrics_endpoint" time="0.027"><failure message="AttributeError: 'async_generator' object has no attribute 'get'">tests/test_api.py:73: in test_metrics_endpoint
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response = await test_client.get("/metrics")
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E AttributeError: 'async_generator' object has no attribute 'get'</failure></testcase><testcase classname="tests.test_api.TestTrainingAPI" name="test_root_endpoint" time="0.026"><failure message="AttributeError: 'async_generator' object has no attribute 'get'">tests/test_api.py:92: in test_root_endpoint
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response = await test_client.get("/")
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E AttributeError: 'async_generator' object has no attribute 'get'</failure></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_start_training_job_success" time="0.029"><error message="failed on setup with "file /app/tests/test_api.py, line 104 @pytest.mark.asyncio async def test_start_training_job_success( self, test_client: AsyncClient, mock_messaging, mock_ml_trainer, mock_data_service ): """Test starting a training job successfully""" request_data = { "include_weather": True, "include_traffic": True, "min_data_points": 30, "seasonality_mode": "additive" } with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"): response = await test_client.post("/training/jobs", json=request_data) assert response.status_code == status.HTTP_200_OK data = response.json() assert "job_id" in data assert data["status"] == "started" assert data["tenant_id"] == "test-tenant" assert "estimated_duration_minutes" in data E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:104"">file /app/tests/test_api.py, line 104
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@pytest.mark.asyncio
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async def test_start_training_job_success(
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self,
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test_client: AsyncClient,
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mock_messaging,
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mock_ml_trainer,
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mock_data_service
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):
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"""Test starting a training job successfully"""
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request_data = {
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"include_weather": True,
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"include_traffic": True,
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"min_data_points": 30,
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"seasonality_mode": "additive"
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}
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with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
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response = await test_client.post("/training/jobs", json=request_data)
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assert response.status_code == status.HTTP_200_OK
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data = response.json()
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assert "job_id" in data
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assert data["status"] == "started"
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assert data["tenant_id"] == "test-tenant"
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assert "estimated_duration_minutes" in data
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E fixture 'mock_data_service' not found
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> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
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> use 'pytest --fixtures [testpath]' for help on them.
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/app/tests/test_api.py:104</error></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_start_training_job_validation_error" time="0.027"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:139: in test_start_training_job_validation_error
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with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
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/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
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original, local = self.get_original()
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/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
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raise AttributeError(
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E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_get_training_status_existing_job" time="0.031"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
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job = ModelTrainingLog(
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
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with util.safe_reraise():
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/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
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raise exc_value.with_traceback(exc_tb)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
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manager.original_init(*mixed[1:], **kwargs)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
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raise TypeError(
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E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_get_training_status_nonexistent_job" time="0.027"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:167: in test_get_training_status_nonexistent_job
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with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
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/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
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original, local = self.get_original()
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/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
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raise AttributeError(
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E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_list_training_jobs" time="0.028"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
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job = ModelTrainingLog(
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
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with util.safe_reraise():
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/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
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raise exc_value.with_traceback(exc_tb)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
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manager.original_init(*mixed[1:], **kwargs)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
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raise TypeError(
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E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_list_training_jobs_with_status_filter" time="0.028"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
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job = ModelTrainingLog(
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
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with util.safe_reraise():
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/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
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raise exc_value.with_traceback(exc_tb)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
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manager.original_init(*mixed[1:], **kwargs)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
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raise TypeError(
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E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_cancel_training_job_success" time="0.031"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
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job = ModelTrainingLog(
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
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with util.safe_reraise():
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/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
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raise exc_value.with_traceback(exc_tb)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
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manager.original_init(*mixed[1:], **kwargs)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
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raise TypeError(
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E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_cancel_nonexistent_job" time="0.031"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:233: in test_cancel_nonexistent_job
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with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
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/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
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original, local = self.get_original()
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/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
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raise AttributeError(
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E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_get_training_logs" time="0.032"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
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job = ModelTrainingLog(
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
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with util.safe_reraise():
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/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
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raise exc_value.with_traceback(exc_tb)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
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manager.original_init(*mixed[1:], **kwargs)
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/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
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raise TypeError(
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E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_api.TestTrainingJobsAPI" name="test_validate_training_data_valid" time="0.028"><error message="failed on setup with "file /app/tests/test_api.py, line 257 @pytest.mark.asyncio async def test_validate_training_data_valid( self, test_client: AsyncClient, mock_data_service ): """Test validating valid training data""" request_data = { "include_weather": True, "include_traffic": True, "min_data_points": 30 } with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"): response = await test_client.post("/training/validate", json=request_data) assert response.status_code == status.HTTP_200_OK data = response.json() assert "is_valid" in data assert "issues" in data assert "recommendations" in data assert "estimated_training_time" in data E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:257"">file /app/tests/test_api.py, line 257
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@pytest.mark.asyncio
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async def test_validate_training_data_valid(
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self,
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test_client: AsyncClient,
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mock_data_service
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):
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"""Test validating valid training data"""
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request_data = {
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"include_weather": True,
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"include_traffic": True,
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"min_data_points": 30
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}
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with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
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response = await test_client.post("/training/validate", json=request_data)
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assert response.status_code == status.HTTP_200_OK
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data = response.json()
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assert "is_valid" in data
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assert "issues" in data
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assert "recommendations" in data
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assert "estimated_training_time" in data
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E fixture 'mock_data_service' not found
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> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
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> use 'pytest --fixtures [testpath]' for help on them.
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/app/tests/test_api.py:257</error></testcase><testcase classname="tests.test_api.TestSingleProductTrainingAPI" name="test_train_single_product_success" time="0.033"><error message="failed on setup with "file /app/tests/test_api.py, line 285 @pytest.mark.asyncio async def test_train_single_product_success( self, test_client: AsyncClient, mock_messaging, mock_ml_trainer, mock_data_service ): """Test training a single product successfully""" product_name = "Pan Integral" request_data = { "include_weather": True, "include_traffic": True, "seasonality_mode": "additive" } with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"): response = await test_client.post( f"/training/products/{product_name}", json=request_data ) assert response.status_code == status.HTTP_200_OK data = response.json() assert "job_id" in data assert data["status"] == "started" assert data["tenant_id"] == "test-tenant" assert f"training started for {product_name}" in data["message"].lower() E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:285"">file /app/tests/test_api.py, line 285
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@pytest.mark.asyncio
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|
async def test_train_single_product_success(
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self,
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test_client: AsyncClient,
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mock_messaging,
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mock_ml_trainer,
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|
mock_data_service
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|
):
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"""Test training a single product successfully"""
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product_name = "Pan Integral"
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request_data = {
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"include_weather": True,
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"include_traffic": True,
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"seasonality_mode": "additive"
|
|
}
|
|
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
response = await test_client.post(
|
|
f"/training/products/{product_name}",
|
|
json=request_data
|
|
)
|
|
|
|
assert response.status_code == status.HTTP_200_OK
|
|
data = response.json()
|
|
|
|
assert "job_id" in data
|
|
assert data["status"] == "started"
|
|
assert data["tenant_id"] == "test-tenant"
|
|
assert f"training started for {product_name}" in data["message"].lower()
|
|
E fixture 'mock_data_service' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_api.py:285</error></testcase><testcase classname="tests.test_api.TestSingleProductTrainingAPI" name="test_train_single_product_validation_error" time="0.033"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:323: in test_train_single_product_validation_error
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestSingleProductTrainingAPI" name="test_train_single_product_special_characters" time="0.030"><error message="failed on setup with "file /app/tests/test_api.py, line 331 @pytest.mark.asyncio async def test_train_single_product_special_characters( self, test_client: AsyncClient, mock_messaging, mock_ml_trainer, mock_data_service ): """Test training product with special characters in name""" product_name = "Pan Francés" # With accent request_data = { "include_weather": True, "seasonality_mode": "additive" } with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"): response = await test_client.post( f"/training/products/{product_name}", json=request_data ) assert response.status_code == status.HTTP_200_OK data = response.json() assert "job_id" in data E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:331"">file /app/tests/test_api.py, line 331
|
|
@pytest.mark.asyncio
|
|
async def test_train_single_product_special_characters(
|
|
self,
|
|
test_client: AsyncClient,
|
|
mock_messaging,
|
|
mock_ml_trainer,
|
|
mock_data_service
|
|
):
|
|
"""Test training product with special characters in name"""
|
|
product_name = "Pan Francés" # With accent
|
|
request_data = {
|
|
"include_weather": True,
|
|
"seasonality_mode": "additive"
|
|
}
|
|
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
response = await test_client.post(
|
|
f"/training/products/{product_name}",
|
|
json=request_data
|
|
)
|
|
|
|
assert response.status_code == status.HTTP_200_OK
|
|
data = response.json()
|
|
assert "job_id" in data
|
|
E fixture 'mock_data_service' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_api.py:331</error></testcase><testcase classname="tests.test_api.TestModelsAPI" name="test_list_models" time="0.028"><error message="failed on setup with "file /app/tests/test_api.py, line 360 @pytest.mark.asyncio async def test_list_models( self, test_client: AsyncClient, trained_model_in_db ): """Test listing trained models""" with patch('app.api.models.get_current_tenant_id', return_value="test-tenant"): response = await test_client.get("/models") # This endpoint might not exist yet, so we expect either 200 or 404 assert response.status_code in [status.HTTP_200_OK, status.HTTP_404_NOT_FOUND] if response.status_code == status.HTTP_200_OK: data = response.json() assert isinstance(data, list) E fixture 'trained_model_in_db' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:360"">file /app/tests/test_api.py, line 360
|
|
@pytest.mark.asyncio
|
|
async def test_list_models(
|
|
self,
|
|
test_client: AsyncClient,
|
|
trained_model_in_db
|
|
):
|
|
"""Test listing trained models"""
|
|
with patch('app.api.models.get_current_tenant_id', return_value="test-tenant"):
|
|
response = await test_client.get("/models")
|
|
|
|
# This endpoint might not exist yet, so we expect either 200 or 404
|
|
assert response.status_code in [status.HTTP_200_OK, status.HTTP_404_NOT_FOUND]
|
|
|
|
if response.status_code == status.HTTP_200_OK:
|
|
data = response.json()
|
|
assert isinstance(data, list)
|
|
E fixture 'trained_model_in_db' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_api.py:360</error></testcase><testcase classname="tests.test_api.TestModelsAPI" name="test_get_model_details" time="0.027"><error message="failed on setup with "file /app/tests/test_api.py, line 377 @pytest.mark.asyncio async def test_get_model_details( self, test_client: AsyncClient, trained_model_in_db ): """Test getting model details""" model_id = trained_model_in_db.model_id with patch('app.api.models.get_current_tenant_id', return_value="test-tenant"): response = await test_client.get(f"/models/{model_id}") # This endpoint might not exist yet assert response.status_code in [ status.HTTP_200_OK, status.HTTP_404_NOT_FOUND, status.HTTP_501_NOT_IMPLEMENTED ] E fixture 'trained_model_in_db' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:377"">file /app/tests/test_api.py, line 377
|
|
@pytest.mark.asyncio
|
|
async def test_get_model_details(
|
|
self,
|
|
test_client: AsyncClient,
|
|
trained_model_in_db
|
|
):
|
|
"""Test getting model details"""
|
|
model_id = trained_model_in_db.model_id
|
|
|
|
with patch('app.api.models.get_current_tenant_id', return_value="test-tenant"):
|
|
response = await test_client.get(f"/models/{model_id}")
|
|
|
|
# This endpoint might not exist yet
|
|
assert response.status_code in [
|
|
status.HTTP_200_OK,
|
|
status.HTTP_404_NOT_FOUND,
|
|
status.HTTP_501_NOT_IMPLEMENTED
|
|
]
|
|
E fixture 'trained_model_in_db' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_api.py:377</error></testcase><testcase classname="tests.test_api.TestErrorHandling" name="test_database_error_handling" time="0.032"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:412: in test_database_error_handling
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestErrorHandling" name="test_missing_tenant_id" time="0.028"><failure message="AttributeError: 'async_generator' object has no attribute 'post'">tests/test_api.py:427: in test_missing_tenant_id
|
|
response = await test_client.post("/training/jobs", json=request_data)
|
|
E AttributeError: 'async_generator' object has no attribute 'post'</failure></testcase><testcase classname="tests.test_api.TestErrorHandling" name="test_invalid_job_id_format" time="0.028"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:437: in test_invalid_job_id_format
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestErrorHandling" name="test_messaging_failure_handling" time="0.026"><error message="failed on setup with "file /app/tests/test_api.py, line 443 @pytest.mark.asyncio async def test_messaging_failure_handling( self, test_client: AsyncClient, mock_data_service ): """Test handling when messaging fails""" request_data = { "include_weather": True, "include_traffic": True, "min_data_points": 30 } with patch('app.services.messaging.publish_job_started', side_effect=Exception("Messaging failed")), \ patch('app.api.training.get_current_tenant_id', return_value="test-tenant"): response = await test_client.post("/training/jobs", json=request_data) # Should still succeed even if messaging fails assert response.status_code == status.HTTP_200_OK data = response.json() assert "job_id" in data E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_api.py:443"">file /app/tests/test_api.py, line 443
|
|
@pytest.mark.asyncio
|
|
async def test_messaging_failure_handling(
|
|
self,
|
|
test_client: AsyncClient,
|
|
mock_data_service
|
|
):
|
|
"""Test handling when messaging fails"""
|
|
request_data = {
|
|
"include_weather": True,
|
|
"include_traffic": True,
|
|
"min_data_points": 30
|
|
}
|
|
|
|
with patch('app.services.messaging.publish_job_started', side_effect=Exception("Messaging failed")), \
|
|
patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
|
|
response = await test_client.post("/training/jobs", json=request_data)
|
|
|
|
# Should still succeed even if messaging fails
|
|
assert response.status_code == status.HTTP_200_OK
|
|
data = response.json()
|
|
assert "job_id" in data
|
|
E fixture 'mock_data_service' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_api.py:443</error></testcase><testcase classname="tests.test_api.TestErrorHandling" name="test_invalid_json_payload" time="0.028"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:469: in test_invalid_json_payload
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestErrorHandling" name="test_unsupported_content_type" time="0.028"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:481: in test_unsupported_content_type
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestAuthenticationIntegration" name="test_endpoints_require_auth" time="0.027"><failure message="AttributeError: 'async_generator' object has no attribute 'post'">tests/test_api.py:512: in test_endpoints_require_auth
|
|
response = await test_client.post(endpoint, json={})
|
|
E AttributeError: 'async_generator' object has no attribute 'post'</failure></testcase><testcase classname="tests.test_api.TestAuthenticationIntegration" name="test_tenant_isolation_in_api" time="0.028"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_api.TestAPIValidation" name="test_training_request_validation" time="0.027"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:555: in test_training_request_validation
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestAPIValidation" name="test_single_product_request_validation" time="0.038"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:591: in test_single_product_request_validation
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestAPIValidation" name="test_query_parameter_validation" time="0.030"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:612: in test_query_parameter_validation
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestAPIPerformance" name="test_concurrent_requests" time="0.031"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:643: in test_concurrent_requests
|
|
with patch('app.api.training.get_current_tenant_id', return_value=f"tenant-{i}"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestAPIPerformance" name="test_large_payload_handling" time="0.030"><failure message="AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'">tests/test_api.py:665: in test_large_payload_handling
|
|
with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
|
|
/usr/local/lib/python3.11/unittest/mock.py:1446: in __enter__
|
|
original, local = self.get_original()
|
|
/usr/local/lib/python3.11/unittest/mock.py:1419: in get_original
|
|
raise AttributeError(
|
|
E AttributeError: <module 'app.api.training' from '/app/app/api/training.py'> does not have the attribute 'get_current_tenant_id'</failure></testcase><testcase classname="tests.test_api.TestAPIPerformance" name="test_rapid_successive_requests" time="0.030"><failure message="AttributeError: 'async_generator' object has no attribute 'get'">tests/test_api.py:681: in test_rapid_successive_requests
|
|
response = await test_client.get("/health")
|
|
E AttributeError: 'async_generator' object has no attribute 'get'</failure></testcase><testcase classname="tests.test_ml.TestBakeryDataProcessor" name="test_prepare_training_data_basic" time="0.049" /><testcase classname="tests.test_ml.TestBakeryDataProcessor" name="test_prepare_training_data_empty_weather" time="0.045" /><testcase classname="tests.test_ml.TestBakeryDataProcessor" name="test_prepare_prediction_features" time="0.034" /><testcase classname="tests.test_ml.TestBakeryDataProcessor" name="test_add_temporal_features" time="0.029" /><testcase classname="tests.test_ml.TestBakeryDataProcessor" name="test_spanish_holiday_detection" time="0.026" /><testcase classname="tests.test_ml.TestBakeryDataProcessor" name="test_prepare_training_data_insufficient_data" time="0.037"><failure message="Failed: DID NOT RAISE <class 'Exception'>">tests/test_ml.py:201: in test_prepare_training_data_insufficient_data
|
|
with pytest.raises(Exception):
|
|
E Failed: DID NOT RAISE <class 'Exception'></failure></testcase><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_train_bakery_model_success" time="0.031"><failure message="AttributeError: 'TrainingSettings' object has no attribute 'PROPHET_DAILY_SEASONALITY'">tests/test_ml.py:239: in test_train_bakery_model_success
|
|
result = await prophet_manager.train_bakery_model(
|
|
app/ml/prophet_manager.py:70: in train_bakery_model
|
|
model = self._create_prophet_model(regressor_columns)
|
|
app/ml/prophet_manager.py:238: in _create_prophet_model
|
|
daily_seasonality=settings.PROPHET_DAILY_SEASONALITY,
|
|
/usr/local/lib/python3.11/site-packages/pydantic/main.py:761: in __getattr__
|
|
raise AttributeError(f'{type(self).__name__!r} object has no attribute {item!r}')
|
|
E AttributeError: 'TrainingSettings' object has no attribute 'PROPHET_DAILY_SEASONALITY'</failure></testcase><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_validate_training_data_valid" time="0.028" /><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_validate_training_data_insufficient" time="0.027" /><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_validate_training_data_missing_columns" time="0.027" /><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_get_spanish_holidays" time="0.029" /><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_extract_regressor_columns" time="0.028" /><testcase classname="tests.test_ml.TestBakeryProphetManager" name="test_generate_forecast" time="0.028" /><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_train_tenant_models_success" time="0.048" /><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_train_single_product_success" time="0.041"><failure message="ValueError: Insufficient training data for Pan Integral: 3 days, minimum required: 30">tests/test_ml.py:414: in test_train_single_product_success
|
|
result = await ml_trainer.train_single_product(
|
|
app/ml/trainer.py:149: in train_single_product
|
|
model_info = await self.prophet_manager.train_bakery_model(
|
|
app/ml/prophet_manager.py:61: in train_bakery_model
|
|
await self._validate_training_data(df, product_name)
|
|
app/ml/prophet_manager.py:158: in _validate_training_data
|
|
raise ValueError(
|
|
E ValueError: Insufficient training data for Pan Integral: 3 days, minimum required: 30</failure></testcase><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_train_single_product_no_data" time="0.036"><failure message="KeyError: 'product_name'">tests/test_ml.py:438: in test_train_single_product_no_data
|
|
await ml_trainer.train_single_product(
|
|
app/ml/trainer.py:134: in train_single_product
|
|
product_sales = sales_df[sales_df['product_name'] == product_name].copy()
|
|
/usr/local/lib/python3.11/site-packages/pandas/core/frame.py:3893: in __getitem__
|
|
indexer = self.columns.get_loc(key)
|
|
/usr/local/lib/python3.11/site-packages/pandas/core/indexes/range.py:418: in get_loc
|
|
raise KeyError(key)
|
|
E KeyError: 'product_name'</failure></testcase><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_validate_input_data_valid" time="0.032" /><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_validate_input_data_empty" time="0.033" /><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_validate_input_data_missing_columns" time="0.038" /><testcase classname="tests.test_ml.TestBakeryMLTrainer" name="test_calculate_training_summary" time="0.032" /><testcase classname="tests.test_ml.TestIntegrationML" name="test_end_to_end_training_flow" time="0.028"><skipped type="pytest.skip" message="Requires actual Prophet dependencies for integration test">/app/tests/test_ml.py:508: Requires actual Prophet dependencies for integration test</skipped></testcase><testcase classname="tests.test_ml.TestIntegrationML" name="test_data_pipeline_integration" time="0.028"><skipped type="pytest.skip" message="Requires actual dependencies for integration test">/app/tests/test_ml.py:513: Requires actual dependencies for integration test</skipped></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_create_training_job_success" time="0.030"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:52: in create_training_job
|
|
db.add(training_log)
|
|
E AttributeError: 'coroutine' object has no attribute 'add'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:34: in test_create_training_job_success
|
|
result = await training_service.create_training_job(
|
|
app/services/training_service.py:61: in create_training_job
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_create_single_product_job_success" time="0.031"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:84: in create_single_product_job
|
|
db.add(training_log)
|
|
E AttributeError: 'coroutine' object has no attribute 'add'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:60: in test_create_single_product_job_success
|
|
result = await training_service.create_single_product_job(
|
|
app/services/training_service.py:93: in create_single_product_job
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_get_job_status_existing" time="0.035"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_get_job_status_nonexistent" time="0.030" /><testcase classname="tests.test_service.TestTrainingService" name="test_list_training_jobs" time="0.031"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_list_training_jobs_with_filter" time="0.035"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_cancel_training_job_success" time="0.035"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_cancel_nonexistent_job" time="0.031"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:270: in cancel_training_job
|
|
result = await db.execute(
|
|
E AttributeError: 'coroutine' object has no attribute 'execute'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:175: in test_cancel_nonexistent_job
|
|
result = await training_service.cancel_training_job(
|
|
app/services/training_service.py:297: in cancel_training_job
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_validate_training_data_valid" time="0.034"><error message="failed on setup with "file /app/tests/test_service.py, line 183 @pytest.mark.asyncio async def test_validate_training_data_valid( self, training_service, test_db_session, mock_data_service ): """Test validation with valid data""" config = {"min_data_points": 30} result = await training_service.validate_training_data( db=test_db_session, tenant_id="test-tenant", config=config ) assert isinstance(result, dict) assert "is_valid" in result assert "issues" in result assert "recommendations" in result assert "estimated_time_minutes" in result E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, training_service, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_service.py:183"">file /app/tests/test_service.py, line 183
|
|
@pytest.mark.asyncio
|
|
async def test_validate_training_data_valid(
|
|
self,
|
|
training_service,
|
|
test_db_session,
|
|
mock_data_service
|
|
):
|
|
"""Test validation with valid data"""
|
|
config = {"min_data_points": 30}
|
|
|
|
result = await training_service.validate_training_data(
|
|
db=test_db_session,
|
|
tenant_id="test-tenant",
|
|
config=config
|
|
)
|
|
|
|
assert isinstance(result, dict)
|
|
assert "is_valid" in result
|
|
assert "issues" in result
|
|
assert "recommendations" in result
|
|
assert "estimated_time_minutes" in result
|
|
E fixture 'mock_data_service' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, training_service, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_service.py:183</error></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_validate_training_data_no_data" time="0.031"><failure message="assert True is False">tests/test_service.py:221: in test_validate_training_data_no_data
|
|
assert result["is_valid"] is False
|
|
E assert True is False</failure></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_update_job_status" time="0.035"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_store_trained_models" time="0.032"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:572: in _store_trained_models
|
|
await db.execute(
|
|
E AttributeError: 'coroutine' object has no attribute 'execute'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:280: in test_store_trained_models
|
|
await training_service._store_trained_models(
|
|
app/services/training_service.py:592: in _store_trained_models
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingService" name="test_get_training_logs" time="0.033"><error message="failed on setup with "TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog"">tests/conftest.py:539: in training_job_in_db
|
|
job = ModelTrainingLog(
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:566: in _initialize_instance
|
|
with util.safe_reraise():
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
|
|
raise exc_value.with_traceback(exc_tb)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state.py:564: in _initialize_instance
|
|
manager.original_init(*mixed[1:], **kwargs)
|
|
/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/decl_base.py:2142: in _declarative_constructor
|
|
raise TypeError(
|
|
E TypeError: 'started_at' is an invalid keyword argument for ModelTrainingLog</error></testcase><testcase classname="tests.test_service.TestTrainingServiceDataFetching" name="test_fetch_sales_data_success" time="0.031" /><testcase classname="tests.test_service.TestTrainingServiceDataFetching" name="test_fetch_sales_data_error" time="0.030" /><testcase classname="tests.test_service.TestTrainingServiceDataFetching" name="test_fetch_weather_data_success" time="0.040" /><testcase classname="tests.test_service.TestTrainingServiceDataFetching" name="test_fetch_traffic_data_success" time="0.033" /><testcase classname="tests.test_service.TestTrainingServiceDataFetching" name="test_fetch_data_with_date_filters" time="0.030" /><testcase classname="tests.test_service.TestTrainingServiceExecution" name="test_execute_training_job_success" time="0.030"><error message="failed on setup with "file /app/tests/test_service.py, line 468 @pytest.mark.asyncio async def test_execute_training_job_success( self, training_service, test_db_session, mock_messaging, mock_data_service ): """Test successful training job execution""" # Create job first job_id = "test-execution-job" training_log = await training_service.create_training_job( db=test_db_session, tenant_id="test-tenant", job_id=job_id, config={"include_weather": True} ) request = TrainingJobRequest( include_weather=True, include_traffic=True, min_data_points=30 ) with patch('app.services.training_service.TrainingService._fetch_sales_data') as mock_fetch_sales, \ patch('app.services.training_service.TrainingService._fetch_weather_data') as mock_fetch_weather, \ patch('app.services.training_service.TrainingService._fetch_traffic_data') as mock_fetch_traffic, \ patch('app.services.training_service.TrainingService._store_trained_models') as mock_store: mock_fetch_sales.return_value = [{"date": "2024-01-01", "product_name": "Pan Integral", "quantity": 45}] mock_fetch_weather.return_value = [] mock_fetch_traffic.return_value = [] mock_store.return_value = None await training_service.execute_training_job( db=test_db_session, job_id=job_id, tenant_id="test-tenant", request=request ) # Verify job was completed updated_job = await training_service.get_job_status( db=test_db_session, job_id=job_id, tenant_id="test-tenant" ) assert updated_job.status == "completed" assert updated_job.progress == 100 E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, training_service, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_service.py:468"">file /app/tests/test_service.py, line 468
|
|
@pytest.mark.asyncio
|
|
async def test_execute_training_job_success(
|
|
self,
|
|
training_service,
|
|
test_db_session,
|
|
mock_messaging,
|
|
mock_data_service
|
|
):
|
|
"""Test successful training job execution"""
|
|
# Create job first
|
|
job_id = "test-execution-job"
|
|
training_log = await training_service.create_training_job(
|
|
db=test_db_session,
|
|
tenant_id="test-tenant",
|
|
job_id=job_id,
|
|
config={"include_weather": True}
|
|
)
|
|
|
|
request = TrainingJobRequest(
|
|
include_weather=True,
|
|
include_traffic=True,
|
|
min_data_points=30
|
|
)
|
|
|
|
with patch('app.services.training_service.TrainingService._fetch_sales_data') as mock_fetch_sales, \
|
|
patch('app.services.training_service.TrainingService._fetch_weather_data') as mock_fetch_weather, \
|
|
patch('app.services.training_service.TrainingService._fetch_traffic_data') as mock_fetch_traffic, \
|
|
patch('app.services.training_service.TrainingService._store_trained_models') as mock_store:
|
|
|
|
mock_fetch_sales.return_value = [{"date": "2024-01-01", "product_name": "Pan Integral", "quantity": 45}]
|
|
mock_fetch_weather.return_value = []
|
|
mock_fetch_traffic.return_value = []
|
|
mock_store.return_value = None
|
|
|
|
await training_service.execute_training_job(
|
|
db=test_db_session,
|
|
job_id=job_id,
|
|
tenant_id="test-tenant",
|
|
request=request
|
|
)
|
|
|
|
# Verify job was completed
|
|
updated_job = await training_service.get_job_status(
|
|
db=test_db_session,
|
|
job_id=job_id,
|
|
tenant_id="test-tenant"
|
|
)
|
|
|
|
assert updated_job.status == "completed"
|
|
assert updated_job.progress == 100
|
|
E fixture 'mock_data_service' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, training_service, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_service.py:468</error></testcase><testcase classname="tests.test_service.TestTrainingServiceExecution" name="test_execute_training_job_failure" time="0.031"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:52: in create_training_job
|
|
db.add(training_log)
|
|
E AttributeError: 'coroutine' object has no attribute 'add'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:529: in test_execute_training_job_failure
|
|
await training_service.create_training_job(
|
|
app/services/training_service.py:61: in create_training_job
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingServiceExecution" name="test_execute_single_product_training_success" time="0.031"><error message="failed on setup with "file /app/tests/test_service.py, line 559 @pytest.mark.asyncio async def test_execute_single_product_training_success( self, training_service, test_db_session, mock_messaging, mock_data_service ): """Test successful single product training execution""" job_id = "test-single-product-job" product_name = "Pan Integral" await training_service.create_single_product_job( db=test_db_session, tenant_id="test-tenant", product_name=product_name, job_id=job_id, config={} ) request = SingleProductTrainingRequest( include_weather=True, include_traffic=False ) with patch('app.services.training_service.TrainingService._fetch_product_sales_data') as mock_fetch_sales, \ patch('app.services.training_service.TrainingService._fetch_weather_data') as mock_fetch_weather, \ patch('app.services.training_service.TrainingService._store_single_trained_model') as mock_store: mock_fetch_sales.return_value = [{"date": "2024-01-01", "product_name": product_name, "quantity": 45}] mock_fetch_weather.return_value = [] mock_store.return_value = None await training_service.execute_single_product_training( db=test_db_session, job_id=job_id, tenant_id="test-tenant", product_name=product_name, request=request ) # Verify job was completed updated_job = await training_service.get_job_status( db=test_db_session, job_id=job_id, tenant_id="test-tenant" ) assert updated_job.status == "completed" assert updated_job.progress == 100 E fixture 'mock_data_service' not found > available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, training_service, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory > use 'pytest --fixtures [testpath]' for help on them. /app/tests/test_service.py:559"">file /app/tests/test_service.py, line 559
|
|
@pytest.mark.asyncio
|
|
async def test_execute_single_product_training_success(
|
|
self,
|
|
training_service,
|
|
test_db_session,
|
|
mock_messaging,
|
|
mock_data_service
|
|
):
|
|
"""Test successful single product training execution"""
|
|
job_id = "test-single-product-job"
|
|
product_name = "Pan Integral"
|
|
|
|
await training_service.create_single_product_job(
|
|
db=test_db_session,
|
|
tenant_id="test-tenant",
|
|
product_name=product_name,
|
|
job_id=job_id,
|
|
config={}
|
|
)
|
|
|
|
request = SingleProductTrainingRequest(
|
|
include_weather=True,
|
|
include_traffic=False
|
|
)
|
|
|
|
with patch('app.services.training_service.TrainingService._fetch_product_sales_data') as mock_fetch_sales, \
|
|
patch('app.services.training_service.TrainingService._fetch_weather_data') as mock_fetch_weather, \
|
|
patch('app.services.training_service.TrainingService._store_single_trained_model') as mock_store:
|
|
|
|
mock_fetch_sales.return_value = [{"date": "2024-01-01", "product_name": product_name, "quantity": 45}]
|
|
mock_fetch_weather.return_value = []
|
|
mock_store.return_value = None
|
|
|
|
await training_service.execute_single_product_training(
|
|
db=test_db_session,
|
|
job_id=job_id,
|
|
tenant_id="test-tenant",
|
|
product_name=product_name,
|
|
request=request
|
|
)
|
|
|
|
# Verify job was completed
|
|
updated_job = await training_service.get_job_status(
|
|
db=test_db_session,
|
|
job_id=job_id,
|
|
tenant_id="test-tenant"
|
|
)
|
|
|
|
assert updated_job.status == "completed"
|
|
assert updated_job.progress == 100
|
|
E fixture 'mock_data_service' not found
|
|
> available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, api_test_scenarios, auth_headers, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, class_mocker, cleanup_after_test, configure_test_logging, corrupted_sales_data, cov, data_quality_test_cases, doctest_namespace, error_scenarios, event_loop, failing_external_services, insufficient_sales_data, integration_test_dependencies, integration_test_setup, large_dataset_for_performance, load_test_configuration, memory_monitor, mock_aemet_client, mock_data_processor, mock_external_services, mock_job_scheduler, mock_madrid_client, mock_messaging, mock_ml_trainer, mock_model_storage, mock_notification_system, mock_prophet_manager, mocker, module_mocker, monkeypatch, no_cover, package_mocker, performance_benchmarks, pytestconfig, real_world_scenarios, record_property, record_testsuite_property, record_xml_attribute, recwarn, sample_bakery_sales_data, sample_model_metadata, sample_single_product_request, sample_traffic_data, sample_training_request, sample_weather_data, seasonal_product_data, session_mocker, setup_test_environment, spanish_holidays_2023, temp_model_storage, test_app, test_client, test_config, test_data_validator, test_db_session, test_metrics_collector, timing_monitor, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, training_job_in_db, training_progress_states, training_service, unused_tcp_port, unused_tcp_port_factory, unused_udp_port, unused_udp_port_factory
|
|
> use 'pytest --fixtures [testpath]' for help on them.
|
|
|
|
/app/tests/test_service.py:559</error></testcase><testcase classname="tests.test_service.TestTrainingServiceEdgeCases" name="test_database_connection_failure" time="0.029" /><testcase classname="tests.test_service.TestTrainingServiceEdgeCases" name="test_external_service_timeout" time="0.030" /><testcase classname="tests.test_service.TestTrainingServiceEdgeCases" name="test_concurrent_job_creation" time="0.028"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:52: in create_training_job
|
|
db.add(training_log)
|
|
E AttributeError: 'coroutine' object has no attribute 'add'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:660: in test_concurrent_job_creation
|
|
job = await training_service.create_training_job(
|
|
app/services/training_service.py:61: in create_training_job
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingServiceEdgeCases" name="test_malformed_config_handling" time="0.001"><failure message="AttributeError: 'coroutine' object has no attribute 'rollback'">app/services/training_service.py:52: in create_training_job
|
|
db.add(training_log)
|
|
E AttributeError: 'coroutine' object has no attribute 'add'
|
|
|
|
During handling of the above exception, another exception occurred:
|
|
tests/test_service.py:681: in test_malformed_config_handling
|
|
job = await training_service.create_training_job(
|
|
app/services/training_service.py:61: in create_training_job
|
|
await db.rollback()
|
|
E AttributeError: 'coroutine' object has no attribute 'rollback'</failure></testcase><testcase classname="tests.test_service.TestTrainingServiceEdgeCases" name="test_malformed_config_handling" time="0.029"><error message="failed on teardown with "TypeError: 'str' object is not callable"">tests/conftest.py:464: in setup_test_environment
|
|
os.environ.pop(var, None)(scope="session")
|
|
E TypeError: 'str' object is not callable</error></testcase></testsuite></testsuites> |