mirror of
https://github.com/aljazceru/Auto-GPT.git
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5e39dd1d26
* Match requests in cassette by hash * Strip requests more extensively for VCR * Sort JSON keys on cassette save * Strip max_tokens from cassettes * Improve logging in retry decorator * Raise when quota exceeded * Clean up @retry_api * Fix @retry_api * Remove dead tests/vcr/openai_filter.py * Add debug logging to execute_python_file * Make Docker CI pass
131 lines
3.8 KiB
Python
131 lines
3.8 KiB
Python
import pytest
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from openai.error import APIError, RateLimitError, ServiceUnavailableError
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from autogpt.llm.providers import openai
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@pytest.fixture(params=[RateLimitError, ServiceUnavailableError, 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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def error_factory(error_instance, error_count, retry_count, warn_user=True):
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"""Creates errors"""
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class RaisesError:
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def __init__(self):
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self.count = 0
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@openai.retry_api(
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max_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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"""Tests the retry functionality with no errors expected"""
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@openai.retry_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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"""Tests the retry with simulated errors [RateLimitError, ServiceUnavailableError, APIError], but should ulimately pass"""
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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" in output.out
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assert "Please double check" in output.out
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if type(error) == ServiceUnavailableError:
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assert "The OpenAI API engine is currently overloaded" in output.out
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assert "Please double check" 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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"""Tests the retry logic with a rate limit error"""
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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" in output.out
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assert "Please double check" not in output.out
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def test_retry_open_api_service_unavairable_no_warn(capsys):
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"""Tests the retry logic with a service unavairable error"""
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error_count = 2
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retry_count = 10
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raises = error_factory(
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ServiceUnavailableError, error_count, retry_count, warn_user=False
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)
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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 "The OpenAI API engine is currently overloaded" 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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"""Tests the Retry logic with a non rate limit error such as HTTP500"""
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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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