/mlflow/mlflow-tests/tests/test_artifacts.py:278: requires the in-cluster SeaweedFS S3 backend/mlflow/mlflow-tests/tests/test_artifacts.py:456: requires an S3-backed artifact server with a direct artifact URI/mlflow/mlflow-tests/tests/test_artifacts.py:495: requires live S3 multipart Gateway rewrite validation/mlflow/mlflow-tests/tests/test_garbage_collection.py:178: garbage collection live Job requires enabled remote SQL/S3 deploymentself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773920> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773920>> test_data = Test Data: name=User with CREATE can create a bare Skill via the direct client API user_info=UserInfo(workspace='works...y', resource_type=[<ResourceType.SKILLS: 'skills'>], verbs=['create']) workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773920> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-rxyhc1yu in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-rxyhc1yu, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773e60> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773e60>> test_data = Test Data: name=User with UPDATE cannot create a bare Skill via the direct client API without CREATE user_info=UserInf...y', resource_type=[<ResourceType.SKILLS: 'skills'>], verbs=['update']) workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) tests/base.py:712: in _execute_validation validate_func(self.test_context) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ test_context = TestContext(workspaces=['workspace1-p8ofsely', 'workspace2-p8ofsely'], active_workspace='workspace1-p8ofsely', active_..._observed_state={}, k8_manager=None, discovered_workspaces=set(), unlabeled_namespace=None, namespaces_to_delete=set()) def validate_authentication_denied(test_context: TestContext) -> None: """Validate that an action failed due to authentication denial. Checks that an authentication or authorization error occurred during the action. Args: test_context: Test context containing structured error information. Raises: AssertionError: If no error occurred or error is not permission-related. """ user_name = test_context.active_user.uname workspace = test_context.active_workspace logger.info(f"Validating that action failed as expected for user '{user_name}' in workspace '{workspace}'") # Validate that an error occurred if test_context.last_error is None: logger.error(f"Validation failed: Action should have failed for unauthorized user '{user_name}', but succeeded") raise AssertionError(f"Action should have failed for unauthorized user '{user_name}', but succeeded") error_response: ErrorResponse = test_context.last_error # Check if it's a permission or authentication error if not error_response.is_permission_error(): logger.error(f"Validation failed: Expected permission/authentication error, got: {error_response.error.code} - {error_response.error.message}") > raise AssertionError( f"Action failed with unexpected error for user {user_name}: {error_response.error.code} - {error_response.error.message}. " f"Expected permission/authentication error." ) E AssertionError: Action failed with unexpected error for user test-user-wqsscu4c: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}}. Expected permission/authentication error. tests/validations/validation_utils.py:38: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773f20> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773f20>> test_data = Test Data: name=User with GET can retrieve a Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773f20> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-ebh7ono0 in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-ebh7ono0, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773fe0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773fe0>> test_data = Test Data: name=User without GET cannot retrieve a Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f773fe0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-wqvdmmgj in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-wqvdmmgj, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f89b0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f89b0>> test_data = Test Data: name=User with LIST can search Skills user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f89b0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-b8jfuobo in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-b8jfuobo, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8050> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8050>> test_data = Test Data: name=User without LIST cannot search Skills user_info=UserInfo(workspace='workspace1-p8ofsely', resource_type=[<ResourceType.SKILLS: 'skills'>], verbs=['get']) workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) tests/base.py:712: in _execute_validation validate_func(self.test_context) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ test_context = TestContext(workspaces=['workspace1-p8ofsely', 'workspace2-p8ofsely'], active_workspace='workspace1-p8ofsely', active_..._observed_state={}, k8_manager=None, discovered_workspaces=set(), unlabeled_namespace=None, namespaces_to_delete=set()) def validate_authentication_denied(test_context: TestContext) -> None: """Validate that an action failed due to authentication denial. Checks that an authentication or authorization error occurred during the action. Args: test_context: Test context containing structured error information. Raises: AssertionError: If no error occurred or error is not permission-related. """ user_name = test_context.active_user.uname workspace = test_context.active_workspace logger.info(f"Validating that action failed as expected for user '{user_name}' in workspace '{workspace}'") # Validate that an error occurred if test_context.last_error is None: logger.error(f"Validation failed: Action should have failed for unauthorized user '{user_name}', but succeeded") raise AssertionError(f"Action should have failed for unauthorized user '{user_name}', but succeeded") error_response: ErrorResponse = test_context.last_error # Check if it's a permission or authentication error if not error_response.is_permission_error(): logger.error(f"Validation failed: Expected permission/authentication error, got: {error_response.error.code} - {error_response.error.message}") > raise AssertionError( f"Action failed with unexpected error for user {user_name}: {error_response.error.code} - {error_response.error.message}. " f"Expected permission/authentication error." ) E AssertionError: Action failed with unexpected error for user test-user-vjwht523: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}}. Expected permission/authentication error. tests/validations/validation_utils.py:38: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8140> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8140>> test_data = Test Data: name=User with UPDATE can update a Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8140> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-r9sowy2a in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-r9sowy2a, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8200> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8200>> test_data = Test Data: name=User without UPDATE cannot update a Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8200> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-y3rml1f3 in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-y3rml1f3, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f82f0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f82f0>> test_data = Test Data: name=User with DELETE can delete a Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f82f0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-ivjba55i in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-ivjba55i, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f83b0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f83b0>> test_data = Test Data: name=User without DELETE cannot delete a Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f83b0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-4itt4b4y in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-4itt4b4y, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8470> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8470>> test_data = Test Data: name=User cannot retrieve a Skill from another workspace user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8470> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-tsdxvvdt in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-tsdxvvdt, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8530> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8530>> test_data = Test Data: name=Skill search excludes Skills from another workspace user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8530> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-ezikbbsb in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-ezikbbsb, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f85f0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f85f0>> test_data = Test Data: name=Named GET permission allows the named Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f85f0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-6ux8912i in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-6ux8912i, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f86b0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f86b0>> test_data = Test Data: name=Named GET permission denies a different Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f86b0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-g3uzaljk in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-g3uzaljk, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8770> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8770>> test_data = Test Data: name=Named UPDATE permission denies a different Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8770> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-owtvb8of in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-owtvb8of, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8830> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8830>> test_data = Test Data: name=Named DELETE permission denies a different Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8830> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-2gjj7vk5 in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-2gjj7vk5, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8920> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8920>> test_data = Test Data: name=Named UPDATE permission allows the matching Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8920> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-a1jd2f9d in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-a1jd2f9d, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8aa0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8aa0>> test_data = Test Data: name=Named DELETE permission allows the matching Skill user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8aa0> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-l0co2k5s in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-l0co2k5s, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8b60> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8b60>> test_data = Test Data: name=Named GET permission does not grant unrestricted Skill search user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8b60> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 2, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-9o8m8egp in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-9o8m8egp, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8c20> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8c20>> test_data = Test Data: name=User can complete the Skill lifecycle user_info=UserInfo(workspace='workspace1-p8ofsely', resource_typ...ILLS: 'skills'>], verbs=['create', 'get', 'list', 'update', 'delete']) workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8c20> validate_func = <function validate_skill_created at 0x7fa17f83ef20> step_number = 1, action_name = 'action_create_skill_shell' def _execute_validation(self, validate_func, step_number: int, action_name: str) -> None: """Execute a single validation function. Args: validate_func: The validation function to execute. step_number: The step number for logging. action_name: The action that was executed before this validation. Raises: AssertionError: If validation fails. """ validation_name = validate_func.__name__ logger.info(f"Step {step_number}: Executing validation '{validation_name}' for action '{action_name}'") # Generic error handling: if action failed and this is not an "expected failure" validation, # show the actual action error instead of letting validation give misleading messages if ( self.test_context.last_error is not None and validation_name not in { "validate_authentication_denied", "validate_authentication_denied_or_resource_not_found", "validate_mcp_access_endpoint_deleted", "validate_skill_artifact_registration_unavailable", "validate_skill_deleted", } ): error_response = self.test_context.last_error user_name = self.test_context.active_user.uname if self.test_context.active_user else "unknown" workspace = self.test_context.active_workspace or "unknown" logger.error(f"Validation '{validation_name}' failed because action '{action_name}' encountered an error for user '{user_name}' in workspace '{workspace}': {error_response.error.code} - {error_response.error.message}") # Provide detailed error message showing the actual action failure error_msg = f"Action '{action_name}' failed for user {user_name} in workspace {workspace}: {error_response.error.code} - {error_response.error.message}" if error_response.error.details: error_msg += f"\nDetails: {error_response.error.details}" > raise AssertionError(error_msg) E AssertionError: Action 'action_create_skill_shell' failed for user test-user-u9sdvsoj in workspace workspace1-p8ofsely: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} E Details: Context: User: test-user-u9sdvsoj, Workspace: workspace1-p8ofsely tests/base.py:709: AssertionErrorself = <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8ce0> create_user_with_permissions = <bound method TestBase._create_user of <tests.test_skill_registry.TestSkillRegistry object at 0x7fa17f7f8ce0>> test_data = Test Data: name=Local Skill registration is unavailable without artifact serving user_info=None workspace=workspace1-p8ofsely resource_slot=None @pytest.mark.parametrize( "test_data", test_scenarios, ids=lambda scenario: scenario.test_name, ) def test_skill_registry(self, create_user_with_permissions, test_data): logger.info("Starting test: %s", test_data.test_name) if test_data.user_info: user_info = create_user_with_permissions( workspace=test_data.user_info.workspace, verbs=test_data.user_info.verbs, resource_types=test_data.user_info.resource_types, subresources=test_data.user_info.subresources, resource_names=test_data.user_info.resource_names, ) self.test_context.active_user = user_info self.test_context.user_client = user_info.client if test_data.workspace_to_use: self.test_context.active_workspace = test_data.workspace_to_use mlflow.set_workspace(test_data.workspace_to_use) > self._execute_test_steps(test_data=test_data) tests/test_skill_registry.py:672: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/base.py:634: in _execute_test_steps self._execute_validation(validate_func=step.validate_func, step_number=i, action_name=action_name) tests/base.py:712: in _execute_validation validate_func(self.test_context) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ test_context = TestContext(workspaces=['workspace1-p8ofsely', 'workspace2-p8ofsely'], active_workspace='workspace1-p8ofsely', active_..._observed_state={}, k8_manager=None, discovered_workspaces=set(), unlabeled_namespace=None, namespaces_to_delete=set()) def validate_skill_artifact_registration_unavailable( test_context: TestContext, ) -> None: """Validate local registration failure when artifact serving is disabled.""" if test_context.last_error is None: raise AssertionError( "Local Skill registration unexpectedly succeeded without artifact serving" ) message = test_context.last_error.error.message if "does not serve artifacts" not in message: > raise AssertionError( "Expected the server artifact-serving capability error, got: " f"{test_context.last_error.error.code} - {message}" ) E AssertionError: Expected the server artifact-serving capability error, got: RESOURCE_NOT_FOUND - INTERNAL_ERROR: Response: {'error': {'code': 'ENDPOINT_NOT_FOUND', 'message': 'Endpoint not found.'}} tests/validations/skill_validations.py:133: AssertionError/mlflow/mlflow-tests/tests/test_trace_archival.py:91: trace archival live Job requires object storage and an enabled trace archival configuration