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import logging
import pytest
from openai.error import APIError, RateLimitError, ServiceUnavailableError
from autogpt.llm.providers import openai
from autogpt.logs.config import USER_FRIENDLY_OUTPUT_LOGGER
@pytest.fixture(params=[RateLimitError, ServiceUnavailableError, APIError])
def error(request):
if request.param == APIError:
return request.param("Error", http_status=502)
else:
return request.param("Error")
def error_factory(error_instance, error_count, retry_count, warn_user=True):
"""Creates errors"""
class RaisesError:
def __init__(self):
self.count = 0
@openai.retry_api(
max_retries=retry_count, backoff_base=0.001, warn_user=warn_user
)
def __call__(self):
self.count += 1
if self.count <= error_count:
raise error_instance
return self.count
return RaisesError()
def test_retry_open_api_no_error(caplog: pytest.LogCaptureFixture):
"""Tests the retry functionality with no errors expected"""
@openai.retry_api()
def f():
return 1
result = f()
assert result == 1
output = caplog.text
assert output == ""
assert output == ""
@pytest.mark.parametrize(
"error_count, retry_count, failure",
[(2, 10, False), (2, 2, False), (10, 2, True), (3, 2, True), (1, 0, True)],
ids=["passing", "passing_edge", "failing", "failing_edge", "failing_no_retries"],
)
def test_retry_open_api_passing(
caplog: pytest.LogCaptureFixture,
error: Exception,
error_count: int,
retry_count: int,
failure: bool,
):
"""Tests the retry with simulated errors [RateLimitError, ServiceUnavailableError, APIError], but should ulimately pass"""
# Add capture handler to non-propagating logger
logging.getLogger(USER_FRIENDLY_OUTPUT_LOGGER).addHandler(caplog.handler)
call_count = min(error_count, retry_count) + 1
raises = error_factory(error, error_count, retry_count)
if failure:
with pytest.raises(type(error)):
raises()
else:
result = raises()
assert result == call_count
assert raises.count == call_count
output = caplog.text
if error_count and retry_count:
if type(error) == RateLimitError:
assert "Reached rate limit" in output
assert "Please double check" in output
if type(error) == ServiceUnavailableError:
assert "The OpenAI API engine is currently overloaded" in output
assert "Please double check" in output
else:
assert output == ""
def test_retry_open_api_rate_limit_no_warn(caplog: pytest.LogCaptureFixture):
"""Tests the retry logic with a rate limit error"""
error_count = 2
retry_count = 10
raises = error_factory(RateLimitError, error_count, retry_count, warn_user=False)
result = raises()
call_count = min(error_count, retry_count) + 1
assert result == call_count
assert raises.count == call_count
output = caplog.text
assert "Reached rate limit" in output
assert "Please double check" not in output
def test_retry_open_api_service_unavairable_no_warn(caplog: pytest.LogCaptureFixture):
"""Tests the retry logic with a service unavairable error"""
error_count = 2
retry_count = 10
raises = error_factory(
ServiceUnavailableError, error_count, retry_count, warn_user=False
)
result = raises()
call_count = min(error_count, retry_count) + 1
assert result == call_count
assert raises.count == call_count
output = caplog.text
assert "The OpenAI API engine is currently overloaded" in output
assert "Please double check" not in output
def test_retry_openapi_other_api_error(caplog: pytest.LogCaptureFixture):
"""Tests the Retry logic with a non rate limit error such as HTTP500"""
error_count = 2
retry_count = 10
raises = error_factory(APIError("Error", http_status=500), error_count, retry_count)
with pytest.raises(APIError):
raises()
call_count = 1
assert raises.count == call_count
output = caplog.text
assert output == ""
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