def delete_project_by_name(self, project_name) -> Status:
"""
Delete the registered project by project name .
:param project_name: the project name
:return: Status.OK if the project is successfully deleted, Status.ERROR if the project does not exist otherwise.
"""
request = metadata_service_pb2.NameRequest(name=project_name)
response = self.metadata_store_stub.deleteProjectByName(request)
return _unwrap_delete_response(response)
def get_project_by_name(self, project_name) -> Optional[ProjectMeta]:
"""
get a specific project in metadata store by project name
:param project_name: the project name
:return: A single :py:class:`ai_flow.meta.project.ProjectMeta` object if the project exists,
Otherwise, returns None if the project does not exist.
"""
request = metadata_service_pb2.NameRequest(name=project_name)
response = self.metadata_store_stub.getProjectByName(request)
return _unwrap_project_response(response)
def delete_model_relation_by_name(self, model_name) -> Status:
"""
Delete the registered model by model name .
:param model_name: the model name
:return: Status.OK if the model is successfully deleted, Status.ERROR if the model does not exist otherwise.
"""
request = metadata_service_pb2.NameRequest(name=model_name)
response = self.metadata_store_stub.deleteModelRelationByName(request)
return _unwrap_delete_response(response)
def delete_dataset_by_name(self, dataset_name) -> Status:
"""
Delete the registered dataset by dataset name .
:param dataset_name: the dataset name
:return: Status.OK if the dataset is successfully deleted, Status.ERROR if the dataset does not exist otherwise.
"""
request = metadata_service_pb2.NameRequest(name=dataset_name)
response = self.metadata_store_stub.deleteDatasetByName(request)
return _unwrap_delete_response(response)
def get_artifact_by_name(self, artifact_name) -> Optional[ArtifactMeta]:
"""
get a specific artifact in metadata store by artifact name.
:param artifact_name: the artifact name
:return: A single :py:class:`ai_flow.meta.artifact_meta.ArtifactMeta` object
if the artifact exists, Otherwise, returns None if the artifact does not exist.
"""
request = metadata_service_pb2.NameRequest(name=artifact_name)
response = self.metadata_store_stub.getArtifactByName(request)
return _unwrap_artifact_response(response)
def get_dataset_by_name(self, dataset_name) -> Optional[DatasetMeta]:
"""
get a specific dataset in metadata store by dataset name.
:param dataset_name: the dataset name
:return: A single :py:class:`ai_flow.meta.dataset_meta.DatasetMeta` object if the dataset exists,,
Otherwise, returns None if the dataset does not exist.
"""
request = metadata_service_pb2.NameRequest(name=dataset_name)
response = self.metadata_store_stub.getDatasetByName(request)
return _unwrap_dataset_response(response)
def get_model_by_name(self, model_name) -> Optional[ModelMeta]:
"""
get a specific model in metadata store by model name.
:param model_name: Name of registered model
:return: A single :py:class:`ai_flow.meta.model_meta.ModelMeta` object if the model relation exists,
Otherwise, returns None if the model relation does not exist.
"""
request = metadata_service_pb2.NameRequest(name=model_name)
response = self.metadata_store_stub.getModelByName(request)
return _unwrap_model_response(response)