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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import os
import pytest
import openai
import httpx
from devtools_testutils import AzureRecordedTestCase, get_credential
from azure.identity.aio import get_bearer_token_provider
from conftest import (
AZURE,
ENV_AZURE_OPENAI_ENDPOINT,
ENV_AZURE_OPENAI_KEY,
LATEST,
ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME,
configure_async,
reload,
)
@pytest.mark.live_test_only
class TestClientAsync(AzureRecordedTestCase):
"""Azure AD with token provider is missing here because it is tested per feature"""
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_chat_completion_bad_deployment(self, client_async, api_type, api_version, **kwargs):
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
with pytest.raises(openai.NotFoundError) as e:
await client_async.chat.completions.create(messages=messages, model="bad_deployment")
assert e.value.status_code == 404
assert "The API deployment for this resource does not exist" in e.value.message
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_chat_completion_endpoint_deployment(self, client_async, api_type, api_version, **kwargs):
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_deployment=ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME,
azure_ad_token_provider=get_bearer_token_provider(get_credential(is_async=True), "https://cognitiveservices.azure.com/.default"),
api_version=LATEST,
)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
completion = await client.chat.completions.create(messages=messages, model="placeholder")
assert completion.id
assert completion.object == "chat.completion"
assert completion.model
assert completion.created
assert completion.usage.completion_tokens is not None
assert completion.usage.prompt_tokens is not None
assert completion.usage.total_tokens == completion.usage.completion_tokens + completion.usage.prompt_tokens
assert len(completion.choices) == 1
assert completion.choices[0].finish_reason
assert completion.choices[0].index is not None
assert completion.choices[0].message.content is not None
assert completion.choices[0].message.role
# try to call some other feature not under the same deployment name
with pytest.raises(openai.BadRequestError) as e:
await client.embeddings.create(input=["Hello world!"], model="placeholder")
assert e.value.status_code == 400
assert "The embeddings operation does not work with the specified model, " \
f"{ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME}. Please choose different model and try again" in e.value.message
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_deployment_with_nondeployment_api(self, client_async, api_type, api_version, **kwargs):
client_async = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_deployment=ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME,
azure_ad_token_provider=get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default"),
api_version=LATEST,
)
model = await client_async.models.retrieve(**kwargs)
assert model
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_chat_completion_base_url(self, client_async, api_type, api_version, **kwargs):
client = openai.AsyncAzureOpenAI(
base_url=f"{os.getenv(ENV_AZURE_OPENAI_ENDPOINT)}/openai/deployments/{ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME}",
azure_ad_token_provider=get_bearer_token_provider(get_credential(is_async=True), "https://cognitiveservices.azure.com/.default"),
api_version=LATEST,
)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
completion = await client.chat.completions.create(messages=messages, **kwargs)
assert completion.id
assert completion.object == "chat.completion"
assert completion.model
assert completion.created
assert completion.usage.completion_tokens is not None
assert completion.usage.prompt_tokens is not None
assert completion.usage.total_tokens == completion.usage.completion_tokens + completion.usage.prompt_tokens
assert len(completion.choices) == 1
assert completion.choices[0].finish_reason
assert completion.choices[0].index is not None
assert completion.choices[0].message.content is not None
assert completion.choices[0].message.role
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_client_str_token(self, client_async, api_type, api_version, **kwargs):
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
credential = get_credential(is_async=True)
access_token = await credential.get_token("https://cognitiveservices.azure.com/.default")
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_ad_token=access_token.token,
api_version=LATEST,
)
completion = await client.chat.completions.create(messages=messages, **kwargs)
assert completion.id
assert completion.object == "chat.completion"
assert completion.model
assert completion.created
assert completion.usage.completion_tokens is not None
assert completion.usage.prompt_tokens is not None
assert completion.usage.total_tokens == completion.usage.completion_tokens + completion.usage.prompt_tokens
assert len(completion.choices) == 1
assert completion.choices[0].finish_reason
assert completion.choices[0].index is not None
assert completion.choices[0].message.content is not None
assert completion.choices[0].message.role
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_client_no_api_key(self, client_async, api_type, api_version, **kwargs):
with pytest.raises(openai.OpenAIError) as e:
openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
api_key=None,
api_version=LATEST,
)
assert 'Missing credentials. Please pass one of `api_key`, `azure_ad_token`, `azure_ad_token_provider`, or the `AZURE_OPENAI_API_KEY` or `AZURE_OPENAI_AD_TOKEN` environment variables.' in str(e.value.args)
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_client_bad_token(self, client_async, api_type, api_version, **kwargs):
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_ad_token="None",
api_version=LATEST,
)
with pytest.raises(openai.AuthenticationError) as e:
await client.chat.completions.create(messages=messages, **kwargs)
assert e.value.status_code == 401
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_client_bad_token_provider(self, client_async, api_type, api_version, **kwargs):
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
azure_ad_token_provider=lambda: None,
api_version=LATEST,
)
with pytest.raises(ValueError) as e:
await client.chat.completions.create(messages=messages, **kwargs)
assert "Expected `azure_ad_token_provider` argument to return a string but it returned None" in str(e.value.args)
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_client_env_vars_key(self, client_async, api_type, api_version, **kwargs):
with reload():
os.environ["AZURE_OPENAI_ENDPOINT"] = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
os.environ["OPENAI_API_VERSION"] = LATEST
os.environ["AZURE_OPENAI_API_KEY"] = os.getenv(ENV_AZURE_OPENAI_KEY)
try:
client = openai.AsyncAzureOpenAI()
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
completion = await client.chat.completions.create(messages=messages, **kwargs)
assert completion.id
assert completion.object == "chat.completion"
assert completion.model
assert completion.created
assert completion.usage.completion_tokens is not None
assert completion.usage.prompt_tokens is not None
assert completion.usage.total_tokens == completion.usage.completion_tokens + completion.usage.prompt_tokens
assert len(completion.choices) == 1
assert completion.choices[0].finish_reason
assert completion.choices[0].index is not None
assert completion.choices[0].message.content is not None
assert completion.choices[0].message.role
finally:
del os.environ['AZURE_OPENAI_ENDPOINT']
del os.environ['AZURE_OPENAI_API_KEY']
del os.environ['OPENAI_API_VERSION']
@configure_async
@pytest.mark.asyncio
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
async def test_client_env_vars_token(self, client_async, api_type, api_version, **kwargs):
with reload():
os.environ["AZURE_OPENAI_ENDPOINT"] = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
os.environ["OPENAI_API_VERSION"] = LATEST
credential = get_credential(is_async=True)
access_token = await credential.get_token("https://cognitiveservices.azure.com/.default")
os.environ["AZURE_OPENAI_AD_TOKEN"] = access_token.token
try:
client = openai.AsyncAzureOpenAI()
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
completion = await client.chat.completions.create(messages=messages, **kwargs)
assert completion.id
assert completion.object == "chat.completion"
assert completion.model
assert completion.created
assert completion.usage.completion_tokens is not None
assert completion.usage.prompt_tokens is not None
assert completion.usage.total_tokens == completion.usage.completion_tokens + completion.usage.prompt_tokens
assert len(completion.choices) == 1
assert completion.choices[0].finish_reason
assert completion.choices[0].index is not None
assert completion.choices[0].message.content is not None
assert completion.choices[0].message.role
finally:
del os.environ['AZURE_OPENAI_ENDPOINT']
del os.environ['AZURE_OPENAI_AD_TOKEN']
del os.environ['OPENAI_API_VERSION']
@pytest.mark.parametrize(
"headers,timeout",
[
({"retry-after-ms": "2000"}, 2.0),
({"retry-after-ms": "2", "retry-after": "1"}, 0.002),
({"Retry-After-Ms": "2", "Retry-After": "1"}, 0.002),
({"retry-after-ms": "invalid"}, ...),
({}, ...),
(None, ...),
],
)
def test_parse_retry_after_ms_header(self, headers, timeout, **kwargs):
client = openai.AsyncAzureOpenAI(
azure_endpoint=os.getenv(ENV_AZURE_OPENAI_ENDPOINT),
api_key="key",
api_version=LATEST,
)
response_headers = httpx.Headers(headers)
options = openai._models.FinalRequestOptions(method="post", url="/completions")
retry_timeout = client._calculate_retry_timeout(
remaining_retries=2,
options=options,
response_headers=response_headers
)
if headers is None or headers == {} or headers.get("retry-after-ms") == "invalid":
assert retry_timeout # uses the default implementation
else:
assert retry_timeout == timeout # uses retry-after-ms
|
