content: #  Copyright (c) ZenML GmbH 2023. All Rights Reserved.
  #
  #  Licensed 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:
  #
  #       https://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 tests.unit.test_general import _test_materializer
  
  
  def test_langchain_openai_embedding_materializer(clean_client):
      """Tests the Langchain OpenAI Embeddings materializer."""
      from langchain_community.embeddings import OpenAIEmbeddings
  
      from zenml.integrations.langchain.materializers.openai_embedding_materializer import (
          LangchainOpenaiEmbeddingMaterializer,
      )
  
      fake_key = "aria_and_blupus"
      fake_chunk_size = 1234
  
      original_embeddings = OpenAIEmbeddings(
          chunk_size=fake_chunk_size,
          openai_api_key=fake_key,
      )
  
      embeddings = _test_materializer(
          step_output=original_embeddings,
          materializer_class=LangchainOpenaiEmbeddingMaterializer,
          expected_metadata_size=1,
      )
  
      # Test that essential configuration is preserved
      assert isinstance(embeddings, OpenAIEmbeddings)
      assert embeddings.chunk_size == fake_chunk_size
  