mirror of
https://github.com/aljazceru/Auto-GPT.git
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2619740daa
* Extract retry logic, unify embedding functions * Add some docstrings * Remove embedding creation from API manager * Add test suite for retry handler * Make api manager fixture * Fix typing * Streamline tests
130 lines
3.6 KiB
Python
130 lines
3.6 KiB
Python
import pytest
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from openai.error import APIError, RateLimitError
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from autogpt.llm_utils import get_ada_embedding, retry_openai_api
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from autogpt.modelsinfo import COSTS
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@pytest.fixture(params=[RateLimitError, APIError])
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def error(request):
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if request.param == APIError:
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return request.param("Error", http_status=502)
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else:
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return request.param("Error")
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@pytest.fixture
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def mock_create_embedding(mocker):
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mock_response = mocker.MagicMock()
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mock_response.usage.prompt_tokens = 5
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mock_response.__getitem__.side_effect = lambda key: [{"embedding": [0.1, 0.2, 0.3]}]
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return mocker.patch(
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"autogpt.llm_utils.create_embedding", return_value=mock_response
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)
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def error_factory(error_instance, error_count, retry_count, warn_user=True):
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class RaisesError:
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def __init__(self):
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self.count = 0
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@retry_openai_api(
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num_retries=retry_count, backoff_base=0.001, warn_user=warn_user
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)
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def __call__(self):
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self.count += 1
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if self.count <= error_count:
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raise error_instance
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return self.count
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return RaisesError()
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def test_retry_open_api_no_error(capsys):
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@retry_openai_api()
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def f():
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return 1
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result = f()
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assert result == 1
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output = capsys.readouterr()
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assert output.out == ""
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assert output.err == ""
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@pytest.mark.parametrize(
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"error_count, retry_count, failure",
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[(2, 10, False), (2, 2, False), (10, 2, True), (3, 2, True), (1, 0, True)],
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ids=["passing", "passing_edge", "failing", "failing_edge", "failing_no_retries"],
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)
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def test_retry_open_api_passing(capsys, error, error_count, retry_count, failure):
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call_count = min(error_count, retry_count) + 1
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raises = error_factory(error, error_count, retry_count)
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if failure:
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with pytest.raises(type(error)):
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raises()
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else:
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result = raises()
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assert result == call_count
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assert raises.count == call_count
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output = capsys.readouterr()
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if error_count and retry_count:
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if type(error) == RateLimitError:
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assert "Reached rate limit, passing..." in output.out
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assert "Please double check" in output.out
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if type(error) == APIError:
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assert "API Bad gateway" in output.out
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else:
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assert output.out == ""
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def test_retry_open_api_rate_limit_no_warn(capsys):
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error_count = 2
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retry_count = 10
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raises = error_factory(RateLimitError, error_count, retry_count, warn_user=False)
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result = raises()
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call_count = min(error_count, retry_count) + 1
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assert result == call_count
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assert raises.count == call_count
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output = capsys.readouterr()
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assert "Reached rate limit, passing..." in output.out
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assert "Please double check" not in output.out
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def test_retry_openapi_other_api_error(capsys):
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error_count = 2
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retry_count = 10
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raises = error_factory(APIError("Error", http_status=500), error_count, retry_count)
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with pytest.raises(APIError):
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raises()
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call_count = 1
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assert raises.count == call_count
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output = capsys.readouterr()
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assert output.out == ""
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def test_get_ada_embedding(mock_create_embedding, api_manager):
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model = "text-embedding-ada-002"
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embedding = get_ada_embedding("test")
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mock_create_embedding.assert_called_once_with(
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"test", model="text-embedding-ada-002"
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)
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assert embedding == [0.1, 0.2, 0.3]
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cost = COSTS[model]["prompt"]
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assert api_manager.get_total_prompt_tokens() == 5
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assert api_manager.get_total_completion_tokens() == 0
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assert api_manager.get_total_cost() == (5 * cost) / 1000
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