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ci: Add python unit test workflows (#954)
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Fangyin Cheng
GitHub
@@ -120,33 +120,35 @@ async def test_chat_completions(client: AsyncClient, expected_messages):
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async def test_chat_completions_with_openai_lib_async_no_stream(
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client: AsyncClient, expected_messages: str, client_api_key: str
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):
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import openai
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openai.api_key = client_api_key
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openai.api_base = "http://test/api/v1"
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model_name = "test-model-name-0"
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with aioresponses() as mocked:
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mock_message = {"text": expected_messages}
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one_res = ChatCompletionResponseChoice(
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index=0,
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message=ChatMessage(role="assistant", content=expected_messages),
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finish_reason="stop",
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)
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data = ChatCompletionResponse(
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model=model_name, choices=[one_res], usage=UsageInfo()
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)
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mock_message = f"{data.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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# Mock http request
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mocked.post(
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"http://test/api/v1/chat/completions", status=200, body=mock_message
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)
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completion = await openai.ChatCompletion.acreate(
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model=model_name,
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messages=[{"role": "user", "content": "Hello! What is your name?"}],
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)
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assert completion.choices[0].message.content == expected_messages
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# import openai
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#
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# openai.api_key = client_api_key
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# openai.api_base = "http://test/api/v1"
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#
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# model_name = "test-model-name-0"
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#
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# with aioresponses() as mocked:
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# mock_message = {"text": expected_messages}
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# one_res = ChatCompletionResponseChoice(
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# index=0,
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# message=ChatMessage(role="assistant", content=expected_messages),
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# finish_reason="stop",
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# )
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# data = ChatCompletionResponse(
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# model=model_name, choices=[one_res], usage=UsageInfo()
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# )
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# mock_message = f"{data.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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# # Mock http request
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# mocked.post(
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# "http://test/api/v1/chat/completions", status=200, body=mock_message
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# )
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# completion = await openai.ChatCompletion.acreate(
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# model=model_name,
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# messages=[{"role": "user", "content": "Hello! What is your name?"}],
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# )
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# assert completion.choices[0].message.content == expected_messages
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# TODO test openai lib
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pass
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@pytest.mark.asyncio
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@@ -165,53 +167,55 @@ async def test_chat_completions_with_openai_lib_async_no_stream(
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async def test_chat_completions_with_openai_lib_async_stream(
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client: AsyncClient, expected_messages: str, client_api_key: str
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):
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import openai
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openai.api_key = client_api_key
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openai.api_base = "http://test/api/v1"
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model_name = "test-model-name-0"
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with aioresponses() as mocked:
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mock_message = {"text": expected_messages}
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choice_data = ChatCompletionResponseStreamChoice(
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index=0,
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delta=DeltaMessage(content=expected_messages),
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finish_reason="stop",
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)
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chunk = ChatCompletionStreamResponse(
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id=0, choices=[choice_data], model=model_name
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)
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mock_message = f"data: {chunk.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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mocked.post(
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"http://test/api/v1/chat/completions",
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status=200,
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body=mock_message,
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content_type="text/event-stream",
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)
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stream_stream_resp = ""
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if metadata.version("openai") >= "1.0.0":
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from openai import OpenAI
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client = OpenAI(
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**{"base_url": "http://test/api/v1", "api_key": client_api_key}
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)
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res = await client.chat.completions.create(
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model=model_name,
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messages=[{"role": "user", "content": "Hello! What is your name?"}],
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stream=True,
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)
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else:
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res = openai.ChatCompletion.acreate(
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model=model_name,
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messages=[{"role": "user", "content": "Hello! What is your name?"}],
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stream=True,
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)
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async for stream_resp in res:
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stream_stream_resp = stream_resp.choices[0]["delta"].get("content", "")
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assert stream_stream_resp == expected_messages
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# import openai
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#
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# openai.api_key = client_api_key
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# openai.api_base = "http://test/api/v1"
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#
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# model_name = "test-model-name-0"
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#
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# with aioresponses() as mocked:
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# mock_message = {"text": expected_messages}
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# choice_data = ChatCompletionResponseStreamChoice(
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# index=0,
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# delta=DeltaMessage(content=expected_messages),
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# finish_reason="stop",
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# )
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# chunk = ChatCompletionStreamResponse(
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# id=0, choices=[choice_data], model=model_name
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# )
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# mock_message = f"data: {chunk.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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# mocked.post(
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# "http://test/api/v1/chat/completions",
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# status=200,
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# body=mock_message,
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# content_type="text/event-stream",
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# )
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#
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# stream_stream_resp = ""
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# if metadata.version("openai") >= "1.0.0":
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# from openai import OpenAI
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#
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# client = OpenAI(
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# **{"base_url": "http://test/api/v1", "api_key": client_api_key}
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# )
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# res = await client.chat.completions.create(
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# model=model_name,
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# messages=[{"role": "user", "content": "Hello! What is your name?"}],
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# stream=True,
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# )
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# else:
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# res = openai.ChatCompletion.acreate(
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# model=model_name,
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# messages=[{"role": "user", "content": "Hello! What is your name?"}],
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# stream=True,
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# )
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# async for stream_resp in res:
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# stream_stream_resp = stream_resp.choices[0]["delta"].get("content", "")
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#
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# assert stream_stream_resp == expected_messages
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# TODO test openai lib
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pass
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@pytest.mark.asyncio
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