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# coding=utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import os
import pytest
import importlib
import contextlib
import functools
import openai
from azure.identity import get_bearer_token_provider
from azure.identity.aio import (
get_bearer_token_provider as get_bearer_token_provider_async,
)
from ci_tools.variables import in_ci
from devtools_testutils import get_credential
# for pytest.parametrize
GA = "2024-10-21"
PREVIEW = "2025-03-01-preview"
LATEST = PREVIEW
AZURE = "azure"
OPENAI = "openai"
AZURE_KEY = "azure_key"
WHISPER_AZURE = "whisper_azure"
TTS_OPENAI = "tts_openai"
TTS_AZURE = "tts_azure"
DALLE_AZURE = "dalle_azure"
GPT_4_AZURE = "gpt_4_azure"
GPT_4_OPENAI = "gpt_4_openai"
ASST_AZURE = "asst_azure"
# Environment variable keys
ENV_AZURE_OPENAI_ENDPOINT = "AZ_OPENAI_ENDPOINT"
ENV_AZURE_OPENAI_KEY = "AZURE_OPENAI_KEY"
ENV_AZURE_OPENAI_NORTHCENTRALUS_ENDPOINT = "AZURE_OPENAI_NORTHCENTRALUS_ENDPOINT"
ENV_AZURE_OPENAI_SWEDENCENTRAL_ENDPOINT = "AZURE_OPENAI_SWEDENCENTRAL_ENDPOINT"
ENV_AZURE_OPENAI_SWEDENCENTRAL_KEY = "AZURE_OPENAI_SWEDENCENTRAL_KEY"
ENV_AZURE_OPENAI_SEARCH_ENDPOINT = "AZURE_OPENAI_SEARCH_ENDPOINT"
ENV_AZURE_OPENAI_SEARCH_INDEX = "AZURE_OPENAI_SEARCH_INDEX"
ENV_AZURE_OPENAI_COMPLETIONS_NAME = "gpt-35-turbo-instruct"
ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME = "gpt-35-turbo"
ENV_AZURE_OPENAI_EMBEDDINGS_NAME = "text-embedding-ada-002"
ENV_AZURE_OPENAI_AUDIO_NAME = "whisper"
ENV_AZURE_OPENAI_DALLE_NAME = "dall-e-3"
ENV_AZURE_OPENAI_CHAT_COMPLETIONS_GPT4_NAME = "gpt-4o-mini"
ENV_AZURE_OPENAI_REALTIME_NAME = "gpt-4o-mini-realtime-preview-1217"
ENV_AZURE_OPENAI_TTS_NAME = "tts"
ENV_OPENAI_KEY = "OPENAI_KEY"
ENV_OPENAI_COMPLETIONS_MODEL = "gpt-3.5-turbo-instruct"
ENV_OPENAI_CHAT_COMPLETIONS_MODEL = "gpt-3.5-turbo"
ENV_OPENAI_EMBEDDINGS_MODEL = "text-embedding-ada-002"
ENV_OPENAI_AUDIO_MODEL = "whisper-1"
ENV_OPENAI_DALLE_MODEL = "dall-e-3"
ENV_OPENAI_CHAT_COMPLETIONS_GPT4_MODEL = "gpt-4o-mini-2024-07-18"
ENV_OPENAI_REALTIME_NAME = "gpt-4o-mini-realtime-preview-2024-10-01"
ENV_OPENAI_TTS_MODEL = "tts-1"
def skip_openai_test(api_type) -> bool:
return in_ci() and "openai" in api_type and "tests-weekly" not in os.getenv("SYSTEM_DEFINITIONNAME", "")
@pytest.fixture
def client(api_type, api_version):
if skip_openai_test(api_type):
pytest.skip("Skipping openai tests - they only run on tests-weekly.")
if api_type == "azure":
client = openai.AzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_ad_token_provider=get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default"),
api_version=api_version,
)
elif api_type == "azure_key":
client = openai.AzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
api_key=os.getenv(ENV_AZURE_OPENAI_KEY),
api_version=api_version,
)
elif api_type in ["openai", "gpt_4_openai", "tts_openai"]:
client = openai.OpenAI(
api_key=os.getenv(ENV_OPENAI_KEY)
)
elif api_type in ["whisper_azure", "tts_azure"]:
client = openai.AzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_NORTHCENTRALUS_ENDPOINT),
azure_ad_token_provider=get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default"),
api_version=api_version,
)
elif api_type in ["dalle_azure", "gpt_4_azure", "asst_azure"]:
client = openai.AzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_SWEDENCENTRAL_ENDPOINT),
azure_ad_token_provider=get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default"),
api_version=api_version,
)
return client
@pytest.fixture
def client_async(api_type, api_version):
if skip_openai_test(api_type):
pytest.skip("Skipping openai tests - they only run on tests-weekly.")
if api_type == "azure":
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_ad_token_provider=get_bearer_token_provider_async(get_credential(is_async=True), "https://cognitiveservices.azure.com/.default"),
api_version=api_version,
)
elif api_type == "azure_key":
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
api_key=os.getenv(ENV_AZURE_OPENAI_KEY),
api_version=api_version,
)
elif api_type in ["openai", "gpt_4_openai", "tts_openai"]:
client = openai.AsyncOpenAI(
api_key=os.getenv(ENV_OPENAI_KEY)
)
elif api_type in ["whisper_azure", "tts_azure"]:
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_NORTHCENTRALUS_ENDPOINT),
azure_ad_token_provider=get_bearer_token_provider_async(get_credential(is_async=True), "https://cognitiveservices.azure.com/.default"),
api_version=api_version,
)
elif api_type in ["dalle_azure", "gpt_4_azure", "asst_azure"]:
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_SWEDENCENTRAL_ENDPOINT),
azure_ad_token_provider=get_bearer_token_provider_async(get_credential(is_async=True), "https://cognitiveservices.azure.com/.default"),
api_version=api_version,
)
return client
def build_kwargs(args, api_type):
test_feature = args[0].qualified_test_name
if test_feature.startswith("test_audio"):
if api_type in ["whisper_azure"]:
return {"model": ENV_AZURE_OPENAI_AUDIO_NAME}
elif api_type == "openai":
return {"model": ENV_OPENAI_AUDIO_MODEL}
elif api_type == "tts_openai":
return {"model": ENV_OPENAI_TTS_MODEL}
elif api_type in ["tts_azure"]:
return {"model": ENV_AZURE_OPENAI_TTS_NAME}
if test_feature.startswith(
("test_client", "test_models", "test_chat_completions",
"test_assistants", "test_responses", "test_vector_stores")
):
if api_type in ["azure", "azure_key", "asst_azure"]:
return {"model": ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME}
elif api_type == "openai":
return {"model": ENV_OPENAI_CHAT_COMPLETIONS_MODEL}
elif api_type in ["gpt_4_azure"]:
return {"model": ENV_AZURE_OPENAI_CHAT_COMPLETIONS_GPT4_NAME}
elif api_type == "gpt_4_openai":
return {"model": ENV_OPENAI_CHAT_COMPLETIONS_GPT4_MODEL}
if test_feature.startswith("test_completions"):
if api_type == "azure":
return {"model": ENV_AZURE_OPENAI_COMPLETIONS_NAME}
elif api_type == "openai":
return {"model": ENV_OPENAI_COMPLETIONS_MODEL}
if test_feature.startswith("test_embeddings"):
if api_type == "azure":
return {"model": ENV_AZURE_OPENAI_EMBEDDINGS_NAME}
elif api_type == "openai":
return {"model": ENV_OPENAI_EMBEDDINGS_MODEL}
if test_feature.startswith("test_dall_e"):
if api_type in ["dalle_azure"]:
return {"model": ENV_AZURE_OPENAI_DALLE_NAME}
elif api_type == "openai":
return {"model": ENV_OPENAI_DALLE_MODEL}
if test_feature.startswith("test_realtime"):
if api_type in ["gpt_4_azure"]:
return {"model": ENV_AZURE_OPENAI_REALTIME_NAME}
elif api_type == "gpt_4_openai":
return {"model": ENV_OPENAI_REALTIME_NAME}
if test_feature.startswith(("test_module_client", "test_cli")):
return {}
raise ValueError(f"Test feature: {test_feature} needs to have its kwargs configured.")
def configure_async(f):
@functools.wraps(f)
async def wrapper(*args, **kwargs):
api_type = kwargs.pop("api_type")
api_version = kwargs.pop("api_version")
client_async = kwargs.pop("client_async")
kwargs = build_kwargs(args, api_type)
try:
return await f(*args, client_async=client_async, api_type=api_type, api_version=api_version, **kwargs)
except openai.RateLimitError:
pytest.skip(f"{str(f).split(' ')[1]}[{api_type}]: Skipping - Rate limit reached.")
except openai.BadRequestError as e:
if e.body.get("code") == "content_policy_violation":
pytest.skip(f"{str(f).split(' ')[1]}[{api_type}]: Skipping - Triggered content filter.")
raise
return wrapper
def configure(f):
@functools.wraps(f)
def wrapper(*args, **kwargs):
api_type = kwargs.pop("api_type")
api_version = kwargs.pop("api_version")
client = kwargs.pop("client")
kwargs = build_kwargs(args, api_type)
try:
return f(*args, client=client, api_type=api_type, api_version=api_version, **kwargs)
except openai.RateLimitError:
pytest.skip(f"{str(f).split(' ')[1]}[{api_type}]: Skipping - Rate limit reached.")
except openai.BadRequestError as e:
if e.body.get("code") == "content_policy_violation":
pytest.skip(f"{str(f).split(' ')[1]}[{api_type}]: Skipping - Triggered content filter.")
raise
return wrapper
@contextlib.contextmanager
def reload():
try:
importlib.reload(openai)
yield
finally:
importlib.reload(openai)
|
