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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import os
import pytest
import pathlib
import openai
from devtools_testutils import AzureRecordedTestCase, get_credential
from conftest import (
configure,
ENV_AZURE_OPENAI_ENDPOINT,
ENV_AZURE_OPENAI_KEY,
LATEST,
ENV_AZURE_OPENAI_NORTHCENTRALUS_ENDPOINT,
ENV_AZURE_OPENAI_COMPLETIONS_NAME,
ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME,
ENV_AZURE_OPENAI_EMBEDDINGS_NAME,
ENV_AZURE_OPENAI_AUDIO_NAME,
AZURE,
reload,
get_bearer_token_provider
)
audio_test_file = pathlib.Path(__file__).parent / "./assets/hello.m4a"
@pytest.mark.live_test_only
class TestModuleClient(AzureRecordedTestCase):
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_env_vars_key(self, client, 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)
os.environ["OPENAI_API_TYPE"] = "azure"
try:
completion = openai.completions.create(prompt="hello world", model=ENV_AZURE_OPENAI_COMPLETIONS_NAME)
assert completion.id
assert completion.object == "text_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].text is not None
finally:
del os.environ['AZURE_OPENAI_ENDPOINT']
del os.environ['AZURE_OPENAI_API_KEY']
del os.environ['OPENAI_API_VERSION']
del os.environ["OPENAI_API_TYPE"]
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_env_vars_token(self, client, 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_AD_TOKEN"] = get_credential().get_token("https://cognitiveservices.azure.com/.default").token
os.environ["OPENAI_API_TYPE"] = "azure"
try:
completion = openai.completions.create(prompt="hello world", model=ENV_AZURE_OPENAI_COMPLETIONS_NAME)
assert completion.id
assert completion.object == "text_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].text is not None
finally:
del os.environ['AZURE_OPENAI_ENDPOINT']
del os.environ['AZURE_OPENAI_AD_TOKEN']
del os.environ['OPENAI_API_VERSION']
del os.environ["OPENAI_API_TYPE"]
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_api_key(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
openai.api_key = os.getenv(ENV_AZURE_OPENAI_KEY)
openai.api_version = LATEST
completion = openai.completions.create(prompt="hello world", model=ENV_AZURE_OPENAI_COMPLETIONS_NAME)
assert completion.id
assert completion.object == "text_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].text is not None
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_ad_token(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
openai.azure_ad_token = get_credential().get_token("https://cognitiveservices.azure.com/.default").token
openai.api_version = LATEST
completion = openai.completions.create(prompt="hello world", model=ENV_AZURE_OPENAI_COMPLETIONS_NAME)
assert completion.id
assert completion.object == "text_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].text is not None
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_completions(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
openai.azure_ad_token_provider = get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default")
openai.api_version = LATEST
completion = openai.completions.create(prompt="hello world", model=ENV_AZURE_OPENAI_COMPLETIONS_NAME)
assert completion.id
assert completion.object == "text_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].text is not None
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_chat_completions(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
openai.azure_ad_token_provider = get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default")
openai.api_version = LATEST
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"}
]
completion = openai.chat.completions.create(messages=messages, model=ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME)
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
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_embeddings(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
openai.azure_ad_token_provider = get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default")
openai.api_version = LATEST
embedding = openai.embeddings.create(input="hello world", model=ENV_AZURE_OPENAI_EMBEDDINGS_NAME)
assert embedding.object == "list"
assert embedding.model
assert embedding.usage.prompt_tokens is not None
assert embedding.usage.total_tokens is not None
assert len(embedding.data) == 1
assert embedding.data[0].object == "embedding"
assert embedding.data[0].index is not None
assert len(embedding.data[0].embedding) > 0
@pytest.mark.skip("InternalServerError, opened issue")
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_models(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_ENDPOINT)
openai.azure_ad_token_provider = get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default")
openai.api_version = LATEST
models = openai.models.list()
for model in models:
assert model.id
model = openai.models.retrieve(model=ENV_AZURE_OPENAI_CHAT_COMPLETIONS_NAME)
assert model.id
@configure
@pytest.mark.parametrize("api_type, api_version", [(AZURE, LATEST)])
def test_module_client_audio(self, client, api_type, api_version, **kwargs):
with reload():
openai.api_type= "azure"
openai.azure_endpoint = os.getenv(ENV_AZURE_OPENAI_NORTHCENTRALUS_ENDPOINT)
openai.azure_ad_token_provider = get_bearer_token_provider(get_credential(), "https://cognitiveservices.azure.com/.default")
openai.api_version = LATEST
result = openai.audio.transcriptions.create(
file=open(audio_test_file, "rb"),
model=ENV_AZURE_OPENAI_AUDIO_NAME
)
assert result.text == "Hello."
result = openai.audio.translations.create(
file=open(audio_test_file, "rb"),
model=ENV_AZURE_OPENAI_AUDIO_NAME
)
assert result.text == "Hello."
|
