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600b7bdd61
Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
91 lines
2.7 KiB
Python
91 lines
2.7 KiB
Python
"""Test openai embeddings."""
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import numpy as np
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import pytest
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from langchain_community.embeddings.openai import OpenAIEmbeddings
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@pytest.mark.scheduled
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def test_openai_embedding_documents() -> None:
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"""Test openai embeddings."""
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documents = ["foo bar"]
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embedding = OpenAIEmbeddings()
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output = embedding.embed_documents(documents)
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assert len(output) == 1
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assert len(output[0]) == 1536
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@pytest.mark.scheduled
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def test_openai_embedding_documents_multiple() -> None:
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"""Test openai embeddings."""
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documents = ["foo bar", "bar foo", "foo"]
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embedding = OpenAIEmbeddings(chunk_size=2)
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embedding.embedding_ctx_length = 8191
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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]) == 1536
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assert len(output[1]) == 1536
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assert len(output[2]) == 1536
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@pytest.mark.scheduled
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async def test_openai_embedding_documents_async_multiple() -> None:
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"""Test openai embeddings."""
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documents = ["foo bar", "bar foo", "foo"]
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embedding = OpenAIEmbeddings(chunk_size=2)
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embedding.embedding_ctx_length = 8191
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output = await embedding.aembed_documents(documents)
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assert len(output) == 3
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assert len(output[0]) == 1536
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assert len(output[1]) == 1536
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assert len(output[2]) == 1536
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@pytest.mark.scheduled
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def test_openai_embedding_query() -> None:
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"""Test openai embeddings."""
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document = "foo bar"
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embedding = OpenAIEmbeddings()
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output = embedding.embed_query(document)
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assert len(output) == 1536
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@pytest.mark.scheduled
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async def test_openai_embedding_async_query() -> None:
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"""Test openai embeddings."""
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document = "foo bar"
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embedding = OpenAIEmbeddings()
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output = await embedding.aembed_query(document)
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assert len(output) == 1536
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@pytest.mark.skip(reason="Unblock scheduled testing. TODO: fix.")
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@pytest.mark.scheduled
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def test_openai_embedding_with_empty_string() -> None:
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"""Test openai embeddings with empty string."""
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import openai
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document = ["", "abc"]
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embedding = OpenAIEmbeddings()
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output = embedding.embed_documents(document)
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assert len(output) == 2
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assert len(output[0]) == 1536
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expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[ # type: ignore[attr-defined]
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"data"
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][0]["embedding"]
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assert np.allclose(output[0], expected_output)
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assert len(output[1]) == 1536
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@pytest.mark.scheduled
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def test_embed_documents_normalized() -> None:
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output = OpenAIEmbeddings().embed_documents(["foo walked to the market"])
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assert np.isclose(np.linalg.norm(output[0]), 1.0)
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@pytest.mark.scheduled
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def test_embed_query_normalized() -> None:
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output = OpenAIEmbeddings().embed_query("foo walked to the market")
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assert np.isclose(np.linalg.norm(output), 1.0)
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