コード例 #1
0
ファイル: yatai_service_impl.py プロジェクト: zhentan/BentoML
class YataiService(YataiServicer):

    # pylint: disable=unused-argument

    def __init__(self, db_url, repo_base_url, default_namespace):
        self.default_namespace = default_namespace
        self.repo = BentoRepository(repo_base_url)
        self.sess_maker = init_db(db_url)
        self.deployment_store = DeploymentStore(self.sess_maker)
        self.bento_metadata_store = BentoMetadataStore(self.sess_maker)

    def HealthCheck(self, request, context=None):
        return HealthCheckResponse(status=Status.OK())

    def GetYataiServiceVersion(self, request, context=None):
        return GetYataiServiceVersionResponse(status=Status.OK,
                                              version=BENTOML_VERSION)

    def ApplyDeployment(self, request, context=None):
        try:
            # apply default namespace if not set
            request.deployment.namespace = (request.deployment.namespace
                                            or self.default_namespace)

            validation_errors = validate_deployment_pb_schema(
                request.deployment)
            if validation_errors:
                raise InvalidArgument(
                    'Failed to validate deployment. {errors}'.format(
                        errors=validation_errors))

            previous_deployment = self.deployment_store.get(
                request.deployment.name, request.deployment.namespace)
            if not previous_deployment:
                request.deployment.created_at.GetCurrentTime()
            request.deployment.last_updated_at.GetCurrentTime()

            self.deployment_store.insert_or_update(request.deployment)
            # find deployment operator based on deployment spec
            operator = get_deployment_operator(self, request.deployment)

            # deploying to target platform
            if previous_deployment:
                response = operator.update(request.deployment,
                                           previous_deployment)
            else:
                response = operator.add(request.deployment)

            if response.status.status_code == status_pb2.Status.OK:
                # update deployment state
                if response and response.deployment:
                    self.deployment_store.insert_or_update(response.deployment)
                else:
                    raise BentoMLException(
                        "DeploymentOperator Internal Error: failed to add or update "
                        "deployment metadata to database")
                logger.info(
                    "ApplyDeployment (%s, namespace %s) succeeded",
                    request.deployment.name,
                    request.deployment.namespace,
                )
            else:
                if not previous_deployment:
                    # When failed to create the deployment, delete it from active
                    # deployments records
                    self.deployment_store.delete(request.deployment.name,
                                                 request.deployment.namespace)
                logger.debug(
                    "ApplyDeployment (%s, namespace %s) failed: %s",
                    request.deployment.name,
                    request.deployment.namespace,
                    response.status.error_message,
                )

            return response

        except BentoMLException as e:
            logger.error("RPC ERROR ApplyDeployment: %s", e)
            return ApplyDeploymentResponse(status=e.status_proto)

    def DeleteDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(request.deployment_name,
                                                      request.namespace)

            if deployment_pb:
                # find deployment operator based on deployment spec
                operator = get_deployment_operator(self, deployment_pb)

                # executing deployment deletion
                response = operator.delete(deployment_pb)

                # if delete successful, remove it from active deployment records table
                if response.status.status_code == status_pb2.Status.OK:
                    self.deployment_store.delete(request.deployment_name,
                                                 request.namespace)
                    return response

                # If force delete flag is True, we will remove the record
                # from yatai database.
                if request.force_delete:
                    self.deployment_store.delete(request.deployment_name,
                                                 request.namespace)
                    return DeleteDeploymentResponse(status=Status.OK())

                if response.status.status_code == status_pb2.Status.NOT_FOUND:
                    modified_message = (
                        'Cloud resources not found, error: {} - it may have been '
                        'deleted manually. Try delete deployment '
                        'with "--force" option to ignore this error '
                        'and force deleting the deployment record'.format(
                            response.status.error_message))
                    response.status.error_message = modified_message

                return response
            else:
                return DeleteDeploymentResponse(status=Status.NOT_FOUND(
                    'Deployment "{}" in namespace "{}" not found'.format(
                        request.deployment_name, request.namespace)))

        except BentoMLException as e:
            logger.error("RPC ERROR DeleteDeployment: %s", e)
            return DeleteDeploymentResponse(status=e.status_proto)

    def GetDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(request.deployment_name,
                                                      request.namespace)
            if deployment_pb:
                return GetDeploymentResponse(status=Status.OK(),
                                             deployment=deployment_pb)
            else:
                return GetDeploymentResponse(status=Status.NOT_FOUND(
                    'Deployment "{}" in namespace "{}" not found'.format(
                        request.deployment_name, request.namespace)))
        except BentoMLException as e:
            logger.error("RPC ERROR GetDeployment: %s", e)
            return GetDeploymentResponse(status=e.status_proto)

    def DescribeDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(request.deployment_name,
                                                      request.namespace)

            if deployment_pb:
                operator = get_deployment_operator(self, deployment_pb)

                response = operator.describe(deployment_pb)

                if response.status.status_code == status_pb2.Status.OK:
                    with self.deployment_store.update_deployment(
                            request.deployment_name,
                            request.namespace) as deployment:
                        deployment.state = ProtoMessageToDict(response.state)

                return response
            else:
                return DescribeDeploymentResponse(status=Status.NOT_FOUND(
                    'Deployment "{}" in namespace "{}" not found'.format(
                        request.deployment_name, request.namespace)))
        except BentoMLException as e:
            logger.error("RPC ERROR DescribeDeployment: %s", e)
            return DeleteDeploymentResponse(status=e.status_proto)

    def ListDeployments(self, request, context=None):
        try:
            namespace = request.namespace or self.default_namespace
            deployment_pb_list = self.deployment_store.list(
                namespace=namespace,
                labels_query=request.labels_query,
                offset=request.offset,
                limit=request.limit,
                operator=request.operator,
                order_by=request.order_by,
                ascending_order=request.ascending_order,
            )

            return ListDeploymentsResponse(status=Status.OK(),
                                           deployments=deployment_pb_list)
        except BentoMLException as e:
            logger.error("RPC ERROR ListDeployments: %s", e)
            return DeleteDeploymentResponse(status=e.status_proto)

    def AddBento(self, request, context=None):
        try:
            # TODO: validate request

            bento_metadata_pb = self.bento_metadata_store.get(
                request.bento_name, request.bento_version)
            if bento_metadata_pb:
                error_message = "BentoService bundle: {}:{} already exist".format(
                    request.bento_name, request.bento_version)
                logger.error(error_message)
                return AddBentoResponse(status=Status.ABORTED(error_message))

            new_bento_uri = self.repo.add(request.bento_name,
                                          request.bento_version)
            self.bento_metadata_store.add(
                bento_name=request.bento_name,
                bento_version=request.bento_version,
                uri=new_bento_uri.uri,
                uri_type=new_bento_uri.type,
            )

            return AddBentoResponse(status=Status.OK(), uri=new_bento_uri)
        except BentoMLException as e:
            logger.error("RPC ERROR AddBento: %s", e)
            return DeleteDeploymentResponse(status=e.status_proto)

    def UpdateBento(self, request, context=None):
        try:
            # TODO: validate request
            if request.upload_status:
                self.bento_metadata_store.update_upload_status(
                    request.bento_name, request.bento_version,
                    request.upload_status)
            if request.service_metadata:
                self.bento_metadata_store.update_bento_service_metadata(
                    request.bento_name, request.bento_version,
                    request.service_metadata)
            return UpdateBentoResponse(status=Status.OK())
        except BentoMLException as e:
            logger.error("RPC ERROR UpdateBento: %s", e)
            return UpdateBentoResponse(status=e.status_proto)

    def DangerouslyDeleteBento(self, request, context=None):
        try:
            # TODO: validate request
            bento_metadata_pb = self.bento_metadata_store.get(
                request.bento_name, request.bento_version)
            if not bento_metadata_pb:
                msg = (
                    f"BentoService {request.bento_name}:{request.bento_version} "
                    f"has already been deleted")
                return DangerouslyDeleteBentoResponse(
                    status=Status.ABORTED(msg))

            logger.debug('Deleting BentoService %s:%s', request.bento_name,
                         request.bento_version)
            self.bento_metadata_store.dangerously_delete(
                request.bento_name, request.bento_version)
            self.repo.dangerously_delete(request.bento_name,
                                         request.bento_version)
            return DangerouslyDeleteBentoResponse(status=Status.OK())
        except BentoMLException as e:
            logger.error("RPC ERROR DangerouslyDeleteBento: %s", e)
            return DangerouslyDeleteBentoResponse(status=e.status_proto)

    def GetBento(self, request, context=None):
        try:
            # TODO: validate request
            bento_metadata_pb = self.bento_metadata_store.get(
                request.bento_name, request.bento_version)
            if request.bento_version.lower() == 'latest':
                logger.info(
                    'Getting latest version %s:%s',
                    request.bento_name,
                    bento_metadata_pb.version,
                )

            if bento_metadata_pb:
                return GetBentoResponse(status=Status.OK(),
                                        bento=bento_metadata_pb)
            else:
                return GetBentoResponse(status=Status.NOT_FOUND(
                    "BentoService `{}:{}` is not found".format(
                        request.bento_name, request.bento_version)))
        except BentoMLException as e:
            logger.error("RPC ERROR GetBento: %s", e)
            return GetBentoResponse(status=e.status_proto)

    def ListBento(self, request, context=None):
        try:
            # TODO: validate request
            bento_metadata_pb_list = self.bento_metadata_store.list(
                bento_name=request.bento_name,
                offset=request.offset,
                limit=request.limit,
                order_by=request.order_by,
                ascending_order=request.ascending_order,
            )

            return ListBentoResponse(status=Status.OK(),
                                     bentos=bento_metadata_pb_list)
        except BentoMLException as e:
            logger.error("RPC ERROR ListBento: %s", e)
            return ListBentoResponse(status=e.status_proto)
コード例 #2
0
class YataiService(YataiServicer):

    # pylint: disable=unused-argument

    def __init__(self, db_url, repo_base_url, default_namespace):
        self.default_namespace = default_namespace
        self.repo = BentoRepository(repo_base_url)
        self.sess_maker = init_db(db_url)
        self.deployment_store = DeploymentStore(self.sess_maker)
        self.bento_metadata_store = BentoMetadataStore(self.sess_maker)

    def HealthCheck(self, request, context=None):
        return HealthCheckResponse(status=Status.OK())

    def GetYataiServiceVersion(self, request, context=None):
        return GetYataiServiceVersionResponse(status=Status.OK, version=BENTOML_VERSION)

    def ApplyDeployment(self, request, context=None):
        try:
            # apply default namespace if not set
            request.deployment.namespace = (
                request.deployment.namespace or self.default_namespace
            )

            validation_errors = validate_deployment_pb_schema(request.deployment)
            if validation_errors:
                return ApplyDeploymentResponse(
                    status=Status.INVALID_ARGUMENT(
                        'Failed to validate deployment. {errors}'.format(
                            errors=validation_errors
                        )
                    )
                )

            previous_deployment = self.deployment_store.get(
                request.deployment.name, request.deployment.namespace
            )
            if previous_deployment:
                # check deployment platform
                if (
                    previous_deployment.spec.operator
                    != request.deployment.spec.operator
                ):
                    return ApplyDeploymentResponse(
                        status=Status.ABORTED(
                            'Can not change the target deploy platform of existing '
                            'active deployment. Try delete existing deployment and '
                            'deploy to new target platform again'
                        )
                    )
                request.deployment.state.state = DeploymentState.PENDING
            else:
                request.deployment.created_at.GetCurrentTime()

            request.deployment.last_updated_at.GetCurrentTime()

            self.deployment_store.insert_or_update(request.deployment)
            # find deployment operator based on deployment spec
            operator = get_deployment_operator(request.deployment)

            # deploying to target platform
            response = operator.apply(request.deployment, self, previous_deployment)

            # update deployment state
            self.deployment_store.insert_or_update(response.deployment)

            return response

        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return ApplyDeploymentResponse(status=Status.INTERNAL(str(e)))

    def DeleteDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(
                request.deployment_name, request.namespace
            )

            if deployment_pb:
                # find deployment operator based on deployment spec
                operator = get_deployment_operator(deployment_pb)

                # executing deployment deletion
                response = operator.delete(deployment_pb, self)

                # if delete successful, remove it from active deployment records table
                if response.status.status_code == status_pb2.Status.OK:
                    self.deployment_store.delete(
                        request.deployment_name, request.namespace
                    )
                    return response

                # If force delete flag is True, we will remove the record
                # from yatai database.
                if request.force_delete:
                    self.deployment_store.delete(
                        request.deployment_name, request.namespace
                    )
                    return DeleteDeploymentResponse(status=Status.OK())

                if response.status.status_code == status_pb2.Status.NOT_FOUND:
                    modified_message = (
                        'Cloud resources not found, error: {} - it may have been '
                        'deleted manually. Try delete deployment '
                        'with "--force" option to ignore this error '
                        'and force deleting the deployment record'.format(
                            response.status.error_message
                        )
                    )
                    response.status.error_message = modified_message

                return response
            else:
                return DeleteDeploymentResponse(
                    status=Status.NOT_FOUND(
                        'Deployment "{}" in namespace "{}" not found'.format(
                            request.deployment_name, request.namespace
                        )
                    )
                )

        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return DeleteDeploymentResponse(status=Status.INTERNAL(str(e)))

    def GetDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(
                request.deployment_name, request.namespace
            )
            if deployment_pb:
                return GetDeploymentResponse(
                    status=Status.OK(), deployment=deployment_pb
                )
            else:
                return GetDeploymentResponse(
                    status=Status.NOT_FOUND(
                        'Deployment "{}" in namespace "{}" not found'.format(
                            request.deployment_name, request.namespace
                        )
                    )
                )
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return GetDeploymentResponse(status=Status.INTERNAL(str(e)))

    def DescribeDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(
                request.deployment_name, request.namespace
            )

            if deployment_pb:
                operator = get_deployment_operator(deployment_pb)

                response = operator.describe(deployment_pb, self)

                if response.status.status_code == status_pb2.Status.OK:
                    with self.deployment_store.update_deployment(
                        request.deployment_name, request.namespace
                    ) as deployment:
                        deployment.state = ProtoMessageToDict(response.state)

                return response
            else:
                return DescribeDeploymentResponse(
                    status=Status.NOT_FOUND(
                        'Deployment "{}" in namespace "{}" not found'.format(
                            request.deployment_name, request.namespace
                        )
                    )
                )
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return DescribeDeploymentResponse(Status.INTERNAL(str(e)))

    def ListDeployments(self, request, context=None):
        try:
            namespace = request.namespace or self.default_namespace
            deployment_pb_list = self.deployment_store.list(
                namespace=namespace,
                filter_str=request.filter,
                labels=request.labels,
                offset=request.offset,
                limit=request.limit,
            )

            return ListDeploymentsResponse(
                status=Status.OK(), deployments=deployment_pb_list
            )
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return ListDeploymentsResponse(status=Status.INTERNAL(str(e)))

    def AddBento(self, request, context=None):
        try:
            # TODO: validate request

            bento_metadata_pb = self.bento_metadata_store.get(
                request.bento_name, request.bento_version
            )
            if bento_metadata_pb:
                error_message = "BentoService bundle: {}:{} already exist".format(
                    request.bento_name, request.bento_version
                )
                logger.error(error_message)
                return AddBentoResponse(status=Status.ABORTED(error_message))

            new_bento_uri = self.repo.add(request.bento_name, request.bento_version)
            self.bento_metadata_store.add(
                bento_name=request.bento_name,
                bento_version=request.bento_version,
                uri=new_bento_uri.uri,
                uri_type=new_bento_uri.type,
            )

            return AddBentoResponse(status=Status.OK(), uri=new_bento_uri)
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return AddBentoResponse(status=Status.INTERNAL(str(e)))

    def UpdateBento(self, request, context=None):
        try:
            # TODO: validate request
            if request.upload_status:
                self.bento_metadata_store.update_upload_status(
                    request.bento_name, request.bento_version, request.upload_status
                )
            if request.service_metadata:
                self.bento_metadata_store.update_bento_service_metadata(
                    request.bento_name, request.bento_version, request.service_metadata
                )
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return UpdateBentoResponse(status=Status.INTERNAL(str(e)))

    def DangerouslyDeleteBento(self, request, context=None):
        try:
            # TODO: validate request
            self.bento_metadata_store.dangerously_delete(
                request.bento_name, request.bento_version
            )
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return DangerouslyDeleteBentoResponse(status=Status.INTERNAL(str(e)))

    def GetBento(self, request, context=None):
        try:
            # TODO: validate request
            bento_metadata_pb = self.bento_metadata_store.get(
                request.bento_name, request.bento_version
            )

            if bento_metadata_pb:
                return GetBentoResponse(status=Status.OK(), bento=bento_metadata_pb)
            else:
                return GetBentoResponse(
                    status=Status.NOT_FOUND(
                        "Bento `{}:{}` is not found".format(
                            request.bento_name, request.bento_version
                        )
                    )
                )
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return GetBentoResponse(status=Status.INTERNAL(str(e)))

    def ListBento(self, request, context=None):
        try:
            # TODO: validate request
            bento_metadata_pb_list = self.bento_metadata_store.list(
                request.bento_name, request.offset, request.limit, request.filter
            )

            return ListBentoResponse(status=Status.OK(), bentos=bento_metadata_pb_list)
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return ListBentoResponse(status=Status.INTERNAL(str(e)))
コード例 #3
0
ファイル: __init__.py プロジェクト: gianrisa/BentoML
class YataiService(YataiServicer):
    def __init__(self,
                 db_config=None,
                 bento_repository=None,
                 default_namespace=None):
        self.default_namespace = default_namespace or config.get(
            'deployment', 'default_namespace')
        self.sess_maker = init_db(db_config)
        self.deployment_store = DeploymentStore(self.sess_maker)
        self.repo = bento_repository or get_default_repository()

    def HealthCheck(self, request, context=None):
        return HealthCheckResponse(status=Status.OK())

    def GetYataiServiceVersion(self, request, context=None):
        return GetYataiServiceVersionResponse(status=Status.OK,
                                              version=BENTOML_VERSION)

    def ApplyDeployment(self, request, context=None):
        try:
            # apply default namespace if not set
            request.deployment.namespace = (request.deployment.namespace
                                            or self.default_namespace)

            # TODO: validate deployment config

            # create or update deployment spec record
            self.deployment_store.insert_or_update(request.deployment)

            # find deployment operator based on deployment spec
            operator = get_deployment_operator(request.deployment)

            # deploying to target platform
            response = operator.apply(request.deployment, self.repo)

            # update deployment state
            self.deployment_store.insert_or_update(response.deployment)

            return response

        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return ApplyDeploymentResponse(Status.INTERNAL(e))

    def DeleteDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(request.deployment_name,
                                                      request.namespace)

            if deployment_pb:
                # find deployment operator based on deployment spec
                operator = get_deployment_operator(deployment_pb)

                # executing deployment deletion
                response = operator.delete(deployment_pb, self.repo)

                # if delete successful, remove it from active deployment records table
                if response.status.status_code == status_pb2.Status.OK:
                    self.deployment_store.delete(request.deployment_name,
                                                 request.namespace)

                return response
            else:
                return DeleteDeploymentResponse(status=Status.NOT_FOUND(
                    'Deployment "{}" in namespace "{}" not found'.format(
                        request.deployment_name, request.namespace)))

        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return DeleteDeploymentResponse(status=Status.INTERNAL(e))

    def GetDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(request.deployment_name,
                                                      request.namespace)
            if deployment_pb:
                return GetDeploymentResponse(status=Status.OK(),
                                             deployment=deployment_pb)
            else:
                return GetDeploymentResponse(status=Status.NOT_FOUND(
                    'Deployment "{}" in namespace "{}" not found'.format(
                        request.deployment_name, request.namespace)))
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return GetDeploymentResponse(status=Status.INTERNAL(e))

    def DescribeDeployment(self, request, context=None):
        try:
            request.namespace = request.namespace or self.default_namespace
            deployment_pb = self.deployment_store.get(request.deployment_name,
                                                      request.namespace)

            if deployment_pb:
                operator = get_deployment_operator(deployment_pb)
                response = operator.describe(deployment_pb, self.repo)

                if response.status.status_code == status_pb2.Status.OK:
                    with self.deployment_store.update_deployment(
                            request.deployment_name,
                            request.namespace) as deployment:
                        deployment.state = MessageToDict(response.state)

                return response
            else:
                return DescribeDeploymentResponse(status=Status.NOT_FOUND(
                    'Deployment "{}" in namespace "{}" not found'.format(
                        request.deployment_name, request.namespace)))
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return DescribeDeploymentResponse(Status.INTERNAL(e))

    def ListDeployments(self, request, context=None):
        try:
            namespace = request.namespace or self.default_namespace
            deployment_pb_list = self.deployment_store.list(
                namespace=namespace,
                filter_str=request.filter,
                labels=request.labels,
                offset=request.offset,
                limit=request.limit,
            )

            return ListDeploymentsResponse(status=Status.OK(),
                                           deployments=deployment_pb_list)
        except BentoMLException as e:
            logger.error("INTERNAL ERROR: %s", e)
            return ListDeploymentsResponse(status=Status.INTERNAL(e))

    def AddBento(self, request_iterator, context=None):
        raise NotImplementedError('Method not implemented!')

    def RemoveBento(self, request, context=None):
        raise NotImplementedError('Method not implemented!')

    def GetBento(self, request, context=None):
        raise NotImplementedError('Method not implemented!')

    def ListBento(self, request, context=None):
        raise NotImplementedError('Method not implemented!')