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"""Test openai embeddings."""
import numpy as np
import openai
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
def test_openai_embedding_query() -> None:
"""Test openai embeddings."""
document = "foo bar"
embedding = OpenAIEmbeddings()
output = embedding.embed_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
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