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This PR: - Adds VertexAI embeddings as an embedding provider Testing - Tested with pinecone destination connector on [this](https://github.com/Unstructured-IO/unstructured/actions/runs/8429035114/job/23082700074?pr=2693) job run. --------- Co-authored-by: Matt Robinson <mrobinson@unstructuredai.io> Co-authored-by: Matt Robinson <mrobinson@unstructured.io>
20 lines
880 B
Python
20 lines
880 B
Python
from unstructured.documents.elements import Text
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from unstructured.embed.vertexai import VertexAIEmbeddingConfig, VertexAIEmbeddingEncoder
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def test_embed_documents_does_not_break_element_to_dict(mocker):
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# Mocked client with the desired behavior for embed_documents
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mock_client = mocker.MagicMock()
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mock_client.embed_documents.return_value = [1, 2]
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# Mock create_client to return our mock_client
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mocker.patch.object(VertexAIEmbeddingEncoder, "create_client", return_value=mock_client)
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encoder = VertexAIEmbeddingEncoder(config=VertexAIEmbeddingConfig(api_key="api_key"))
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elements = encoder.embed_documents(
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elements=[Text("This is sentence 1"), Text("This is sentence 2")],
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)
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assert len(elements) == 2
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assert elements[0].to_dict()["text"] == "This is sentence 1"
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assert elements[1].to_dict()["text"] == "This is sentence 2"
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