"""Test openai embeddings.""" import numpy as np import openai import pytest from langchain.embeddings.openai import OpenAIEmbeddings def test_openai_embedding_documents() -> None: """Test openai embeddings.""" documents = ["foo bar"] embedding = OpenAIEmbeddings() output = embedding.embed_documents(documents) assert len(output) == 1 assert len(output[0]) == 1536 def test_openai_embedding_documents_multiple() -> None: """Test openai embeddings.""" documents = ["foo bar", "bar foo", "foo"] embedding = OpenAIEmbeddings(chunk_size=2) embedding.embedding_ctx_length = 8191 output = embedding.embed_documents(documents) assert len(output) == 3 assert len(output[0]) == 1536 assert len(output[1]) == 1536 assert len(output[2]) == 1536 @pytest.mark.asyncio async def test_openai_embedding_documents_async_multiple() -> None: """Test openai embeddings.""" documents = ["foo bar", "bar foo", "foo"] embedding = OpenAIEmbeddings(chunk_size=2) embedding.embedding_ctx_length = 8191 output = await embedding.aembed_documents(documents) assert len(output) == 3 assert len(output[0]) == 1536 assert len(output[1]) == 1536 assert len(output[2]) == 1536 def test_openai_embedding_query() -> None: """Test openai embeddings.""" document = "foo bar" embedding = OpenAIEmbeddings() output = embedding.embed_query(document) assert len(output) == 1536 @pytest.mark.asyncio async def test_openai_embedding_async_query() -> None: """Test openai embeddings.""" document = "foo bar" embedding = OpenAIEmbeddings() output = await embedding.aembed_query(document) assert len(output) == 1536 def test_openai_embedding_with_empty_string() -> None: """Test openai embeddings with empty string.""" document = ["", "abc"] embedding = OpenAIEmbeddings() output = embedding.embed_documents(document) assert len(output) == 2 assert len(output[0]) == 1536 expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[ "data" ][0]["embedding"] assert np.allclose(output[0], expected_output) assert len(output[1]) == 1536