elasticsearch/helpers/vectorstore/_async/_utils.py (13 lines of code) (raw):

# Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you under # the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from elasticsearch import AsyncElasticsearch, BadRequestError, NotFoundError async def model_must_be_deployed(client: AsyncElasticsearch, model_id: str) -> None: """ :raises [NotFoundError]: if the model is neither downloaded nor deployed. :raises [ConflictError]: if the model is downloaded but not yet deployed. """ doc = {"text_field": f"test if the model '{model_id}' is deployed"} try: await client.ml.infer_trained_model(model_id=model_id, docs=[doc]) except BadRequestError: # The model is deployed but expects a different input field name. pass async def model_is_deployed(client: AsyncElasticsearch, model_id: str) -> bool: try: await model_must_be_deployed(client, model_id) return True except NotFoundError: return False