def deploy_spec(self, model_spec: ModelSpec): self._create_api_client() env_api = EnvironmentApi(self.api_client) user = env_api.read_user() print(user) # TODO: Use KubernetesSpec().spec sd = SeldonDeployment( kind="SeldonDeployment", api_version="machinelearning.seldon.io/v1", metadata=ObjectMeta( name=model_spec.model_details.name, namespace=model_spec.runtime_options.namespace, # type: ignore ), spec=SeldonDeploymentSpec(predictors=[ PredictorSpec( graph=PredictiveUnit( implementation=KubernetesSpec.Implementations[ model_spec.model_details.platform], model_uri=model_spec.model_details.uri, name="model", ), name="default", replicas=model_spec.runtime_options. replicas, # type: ignore ) ]), ) dep_instance = SeldonDeploymentsApi(self.api_client) dep_instance.create_seldon_deployment( model_spec.runtime_options.namespace, sd) # type: ignore
def init_api(): config = Configuration() config.host = deploy_api_host config.oidc_client_id = oidc_client_id config.oidc_server = oidc_server config.username = oidc_username config.password = oidc_password config.oidc_client_secret = oidc_client_secret config.auth_method = oidc_auth_method if not config.auth_method or config.auth_method is None: config.auth_method = 'password_grant' if not config.host or config.host is None: print('No DEPLOY_API_HOST - will not look up metadata from Deploy') return if not config.oidc_server or config.oidc_server is None: print( 'No OIDC_PROVIDER - auth will not be used in connecting to metadata' ) return auth = None if config.oidc_server: auth = OIDCAuthenticator(config) config.access_token = auth.authenticate() api_client = ApiClient(configuration=config, authenticator=auth) env_api = EnvironmentApi(api_client) print('connected to deploy') print(env_api.read_user()) global metadata_api metadata_api = ModelMetadataServiceApi(api_client)
def init_api(): config = Configuration() config.host = deploy_api_host config.oidc_client_id = oidc_client_id config.oidc_server = oidc_server config.username = oidc_username config.password = oidc_password config.oidc_client_secret = oidc_client_secret config.oidc_resource = oidc_resource config.auth_method = oidc_auth_method if verify_ssl.lower() != "true": config.verify_ssl = False os.environ["CURL_CA_BUNDLE"] = "" if not config.auth_method: config.auth_method = "password_grant" if not config.host: print("No DEPLOY_API_HOST - will not look up metadata from Deploy") return if not config.oidc_server: print( "No OIDC_PROVIDER - auth will not be used in connecting to metadata" ) auth = None if config.oidc_server: auth = OIDCAuthenticator(config) config.access_token = auth.authenticate() api_client = ApiClient(configuration=config, authenticator=auth) env_api = EnvironmentApi(api_client) print("connected to deploy") print(env_api.read_user()) global metadata_api metadata_api = ModelMetadataServiceApi(api_client)
"name": "Dog" }, { "name": "Frog" }, { "name": "Horse" }, { "name": "Ship" }, { "name": "Truck" }] }] } } ] for model in models: body = V1Model(**model) try: env_api = EnvironmentApi(api_client) print(env_api.read_user()) api_response = api_instance.model_metadata_service_create_model_metadata( body) print(str(api_response)) metadata_list = api_instance.model_metadata_service_list_model_metadata( ) print(str(metadata_list)) except ApiException as e: print(e) print(f"Couldn't create model: {json.loads(e.body)['message']}")