2023-09-07 09:06:57 +01:00
|
|
|
import os
|
|
|
|
import pytest
|
|
|
|
import openai
|
|
|
|
from haystack.preview.components.generators.openai.gpt35 import GPT35Generator
|
2023-09-13 09:07:09 +01:00
|
|
|
from haystack.preview.components.generators.openai.gpt4 import GPT4Generator
|
2023-09-07 09:06:57 +01:00
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.skipif(
|
|
|
|
not os.environ.get("OPENAI_API_KEY", None),
|
|
|
|
reason="Export an env var called OPENAI_API_KEY containing the OpenAI API key to run this test.",
|
|
|
|
)
|
2023-09-13 09:07:09 +01:00
|
|
|
@pytest.mark.parametrize("generator_class,model_name", [(GPT35Generator, "gpt-3.5"), (GPT4Generator, "gpt-4")])
|
|
|
|
def test_gpt35_generator_run(generator_class, model_name):
|
|
|
|
component = generator_class(api_key=os.environ.get("OPENAI_API_KEY"), n=1)
|
2023-09-12 17:19:28 +01:00
|
|
|
results = component.run(prompt="What's the capital of France?")
|
|
|
|
assert len(results["replies"]) == 1
|
|
|
|
assert "Paris" in results["replies"][0]
|
|
|
|
assert len(results["metadata"]) == 1
|
2023-09-13 09:07:09 +01:00
|
|
|
assert model_name in results["metadata"][0]["model"]
|
2023-09-12 17:19:28 +01:00
|
|
|
assert "stop" == results["metadata"][0]["finish_reason"]
|
2023-09-07 09:06:57 +01:00
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.skipif(
|
|
|
|
not os.environ.get("OPENAI_API_KEY", None),
|
|
|
|
reason="Export an env var called OPENAI_API_KEY containing the OpenAI API key to run this test.",
|
|
|
|
)
|
2023-09-13 09:07:09 +01:00
|
|
|
@pytest.mark.parametrize("generator_class", [GPT35Generator, GPT4Generator])
|
|
|
|
def test_gpt35_generator_run_wrong_model_name(generator_class):
|
|
|
|
component = generator_class(model_name="something-obviously-wrong", api_key=os.environ.get("OPENAI_API_KEY"), n=1)
|
2023-09-07 09:06:57 +01:00
|
|
|
with pytest.raises(openai.InvalidRequestError, match="The model `something-obviously-wrong` does not exist"):
|
2023-09-12 17:19:28 +01:00
|
|
|
component.run(prompt="What's the capital of France?")
|
2023-09-07 09:06:57 +01:00
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.skipif(
|
|
|
|
not os.environ.get("OPENAI_API_KEY", None),
|
|
|
|
reason="Export an env var called OPENAI_API_KEY containing the OpenAI API key to run this test.",
|
|
|
|
)
|
2023-09-13 09:07:09 +01:00
|
|
|
@pytest.mark.parametrize("generator_class,model_name", [(GPT35Generator, "gpt-3.5"), (GPT4Generator, "gpt-4")])
|
|
|
|
def test_gpt35_generator_run_streaming(generator_class, model_name):
|
2023-09-07 09:06:57 +01:00
|
|
|
class Callback:
|
|
|
|
def __init__(self):
|
|
|
|
self.responses = ""
|
|
|
|
|
|
|
|
def __call__(self, chunk):
|
|
|
|
self.responses += chunk.choices[0].delta.content if chunk.choices[0].delta else ""
|
|
|
|
return chunk
|
|
|
|
|
|
|
|
callback = Callback()
|
2023-09-13 09:07:09 +01:00
|
|
|
component = generator_class(os.environ.get("OPENAI_API_KEY"), streaming_callback=callback, n=1)
|
2023-09-12 17:19:28 +01:00
|
|
|
results = component.run(prompt="What's the capital of France?")
|
2023-09-07 09:06:57 +01:00
|
|
|
|
2023-09-12 17:19:28 +01:00
|
|
|
assert len(results["replies"]) == 1
|
|
|
|
assert "Paris" in results["replies"][0]
|
2023-09-07 09:06:57 +01:00
|
|
|
|
2023-09-12 17:19:28 +01:00
|
|
|
assert len(results["metadata"]) == 1
|
2023-09-13 09:07:09 +01:00
|
|
|
assert model_name in results["metadata"][0]["model"]
|
2023-09-12 17:19:28 +01:00
|
|
|
assert "stop" == results["metadata"][0]["finish_reason"]
|
2023-09-07 09:06:57 +01:00
|
|
|
|
2023-09-12 17:19:28 +01:00
|
|
|
assert callback.responses == results["replies"][0]
|