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# 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 BadRequestError, Elasticsearch, NotFoundError
def model_must_be_deployed(client: Elasticsearch, 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:
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
def model_is_deployed(client: Elasticsearch, model_id: str) -> bool:
try:
model_must_be_deployed(client, model_id)
return True
except NotFoundError:
return False
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