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https://github.com/hwchase17/langchain
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31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
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"""Test elasticsearch_embeddings embeddings."""
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import pytest
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from langchain.embeddings.elasticsearch import ElasticsearchEmbeddings
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@pytest.fixture
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def model_id() -> str:
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# Replace with your actual model_id
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return "your_model_id"
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def test_elasticsearch_embedding_documents(model_id: str) -> None:
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"""Test Elasticsearch embedding documents."""
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documents = ["foo bar", "bar foo", "foo"]
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embedding = ElasticsearchEmbeddings.from_credentials(model_id)
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output = embedding.embed_documents(documents)
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assert len(output) == 3
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assert len(output[0]) == 768 # Change 768 to the expected embedding size
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assert len(output[1]) == 768 # Change 768 to the expected embedding size
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assert len(output[2]) == 768 # Change 768 to the expected embedding size
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def test_elasticsearch_embedding_query(model_id: str) -> None:
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"""Test Elasticsearch embedding query."""
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document = "foo bar"
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embedding = ElasticsearchEmbeddings.from_credentials(model_id)
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output = embedding.embed_query(document)
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assert len(output) == 768 # Change 768 to the expected embedding size
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