test

libs/langchain/tests/integration_tests/embeddings/test_azure_openai.py

@@ -0,0 +1,93 @@
+"""Test openai embeddings."""
+import os
+from typing import Any
+
+import numpy as np
+import pytest
+
+from langchain.embeddings import AzureOpenAIEmbeddings
+
+
+def _get_embeddings(**kwargs: Any) -> AzureOpenAIEmbeddings:
+    return AzureOpenAIEmbeddings(
+        openai_api_version=os.environ.get("AZURE_OPENAI_API_VERSION", ""),
+        **kwargs,
+    )
+
+
+def test_azure_openai_embedding_documents() -> None:
+    """Test openai embeddings."""
+    documents = ["foo bar"]
+    embedding = _get_embeddings()
+    output = embedding.embed_documents(documents)
+    assert len(output) == 1
+    assert len(output[0]) == 1536
+
+
+def test_azure_openai_embedding_documents_multiple() -> None:
+    """Test openai embeddings."""
+    documents = ["foo bar", "bar foo", "foo"]
+    embedding = _get_embeddings(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_azure_openai_embedding_documents_async_multiple() -> None:
+    """Test openai embeddings."""
+    documents = ["foo bar", "bar foo", "foo"]
+    embedding = _get_embeddings(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_azure_openai_embedding_query() -> None:
+    """Test openai embeddings."""
+    document = "foo bar"
+    embedding = _get_embeddings()
+    output = embedding.embed_query(document)
+    assert len(output) == 1536
+
+
+@pytest.mark.asyncio
+async def test_azure_openai_embedding_async_query() -> None:
+    """Test openai embeddings."""
+    document = "foo bar"
+    embedding = _get_embeddings()
+    output = await embedding.aembed_query(document)
+    assert len(output) == 1536
+
+
+@pytest.mark.skip(reason="Unblock scheduled testing. TODO: fix.")
+def test_azure_openai_embedding_with_empty_string() -> None:
+    """Test openai embeddings with empty string."""
+    import openai
+
+    document = ["", "abc"]
+    embedding = _get_embeddings()
+    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
+
+
+def test_embed_documents_normalized() -> None:
+    output = _get_embeddings().embed_documents(["foo walked to the market"])
+    assert np.isclose(np.linalg.norm(output[0]), 1.0)
+
+
+def test_embed_query_normalized() -> None:
+    output = _get_embeddings().embed_query("foo walked to the market")
+    assert np.isclose(np.linalg.norm(output), 1.0)