mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-08-02 21:58:40 +00:00

* Add step to loook up tokenizers by prefix in openai_utils * Updated tiktoken min version + openai_utils test * Added test case for GPT-4 and Azure model naming * Broken down tests * Added default case --------- Co-authored-by: ZanSara <sara.zanzottera@deepset.ai>
101 lines
3.9 KiB
Python
101 lines
3.9 KiB
Python
import pytest
|
|
from unittest.mock import patch
|
|
|
|
import pytest
|
|
from tenacity import wait_none
|
|
|
|
from haystack.errors import OpenAIError, OpenAIRateLimitError, OpenAIUnauthorizedError
|
|
from haystack.utils.openai_utils import openai_request, _openai_text_completion_tokenization_details
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_openai_text_completion_tokenization_details_gpt_default():
|
|
tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="text-ada-001")
|
|
assert tokenizer_name == "r50k_base"
|
|
assert max_tokens_limit == 2049
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_openai_text_completion_tokenization_details_gpt_davinci():
|
|
tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="text-davinci-003")
|
|
assert tokenizer_name == "p50k_base"
|
|
assert max_tokens_limit == 4097
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_openai_text_completion_tokenization_details_gpt3_5_azure():
|
|
tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-35-turbo")
|
|
assert tokenizer_name == "cl100k_base"
|
|
assert max_tokens_limit == 4096
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_openai_text_completion_tokenization_details_gpt3_5():
|
|
tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-3.5-turbo")
|
|
assert tokenizer_name == "cl100k_base"
|
|
assert max_tokens_limit == 4096
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_openai_text_completion_tokenization_details_gpt_4():
|
|
tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-4")
|
|
assert tokenizer_name == "cl100k_base"
|
|
assert max_tokens_limit == 8192
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_openai_text_completion_tokenization_details_gpt_4_32k():
|
|
tokenizer_name, max_tokens_limit = _openai_text_completion_tokenization_details(model_name="gpt-4-32k")
|
|
assert tokenizer_name == "cl100k_base"
|
|
assert max_tokens_limit == 32768
|
|
|
|
|
|
@pytest.mark.unit
|
|
@patch("haystack.utils.openai_utils.requests")
|
|
def test_openai_request_retries_generic_error(mock_requests):
|
|
mock_requests.request.return_value.status_code = 418
|
|
|
|
with pytest.raises(OpenAIError):
|
|
# We need to use a custom wait amount otherwise the test would take forever to run
|
|
# as the original wait time is exponential
|
|
openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)
|
|
|
|
assert mock_requests.request.call_count == 5
|
|
|
|
|
|
@pytest.mark.unit
|
|
@patch("haystack.utils.openai_utils.requests")
|
|
def test_openai_request_retries_on_rate_limit_error(mock_requests):
|
|
mock_requests.request.return_value.status_code = 429
|
|
|
|
with pytest.raises(OpenAIRateLimitError):
|
|
# We need to use a custom wait amount otherwise the test would take forever to run
|
|
# as the original wait time is exponential
|
|
openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)
|
|
|
|
assert mock_requests.request.call_count == 5
|
|
|
|
|
|
@pytest.mark.unit
|
|
@patch("haystack.utils.openai_utils.requests")
|
|
def test_openai_request_does_not_retry_on_unauthorized_error(mock_requests):
|
|
mock_requests.request.return_value.status_code = 401
|
|
|
|
with pytest.raises(OpenAIUnauthorizedError):
|
|
# We need to use a custom wait amount otherwise the test would take forever to run
|
|
# as the original wait time is exponential
|
|
openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)
|
|
|
|
assert mock_requests.request.call_count == 1
|
|
|
|
|
|
@pytest.mark.unit
|
|
@patch("haystack.utils.openai_utils.requests")
|
|
def test_openai_request_does_not_retry_on_success(mock_requests):
|
|
mock_requests.request.return_value.status_code = 200
|
|
# We need to use a custom wait amount otherwise the test would take forever to run
|
|
# as the original wait time is exponential
|
|
openai_request.retry_with(wait=wait_none())(url="some_url", headers={}, payload={}, read_response=False)
|
|
|
|
assert mock_requests.request.call_count == 1
|