test fix openai batches and files

This commit is contained in:
Ishaan Jaff
2025-02-14 19:03:30 -08:00
parent 753290e5b8
commit 0bdebe36d8
@@ -170,6 +170,69 @@ class TestCustomLogger(CustomLogger):
self.standard_logging_object = kwargs["standard_logging_object"]
def cleanup_azure_files():
"""
Delete all files for Azure - helper for when we run out of Azure Files Quota
"""
azure_files = litellm.file_list(
custom_llm_provider="azure",
api_key=os.getenv("AZURE_FT_API_KEY"),
api_base=os.getenv("AZURE_FT_API_BASE"),
)
print("azure_files=", azure_files)
for _file in azure_files:
print("deleting file=", _file)
delete_file_response = litellm.file_delete(
file_id=_file.id,
custom_llm_provider="azure",
api_key=os.getenv("AZURE_FT_API_KEY"),
api_base=os.getenv("AZURE_FT_API_BASE"),
)
print("delete_file_response=", delete_file_response)
assert delete_file_response.id == _file.id
def cleanup_azure_ft_models():
"""
Test CLEANUP: Delete all existing fine tuning jobs for Azure
"""
try:
from openai import AzureOpenAI
import requests
client = AzureOpenAI(
api_key=os.getenv("AZURE_FT_API_KEY"),
azure_endpoint=os.getenv("AZURE_FT_API_BASE"),
api_version=os.getenv("AZURE_API_VERSION"),
)
_list_ft_jobs = client.fine_tuning.jobs.list()
print("_list_ft_jobs=", _list_ft_jobs)
# delete all ft jobs make post request to this
# Delete all fine-tuning jobs
for job in _list_ft_jobs:
try:
endpoint = os.getenv("AZURE_FT_API_BASE").rstrip("/")
url = f"{endpoint}/openai/fine_tuning/jobs/{job.id}?api-version=2024-10-21"
print("url=", url)
headers = {
"api-key": os.getenv("AZURE_FT_API_KEY"),
"Content-Type": "application/json",
}
response = requests.delete(url, headers=headers)
print(f"Deleting job {job.id}: Status {response.status_code}")
if response.status_code != 204:
print(f"Error deleting job {job.id}: {response.text}")
except Exception as e:
print(f"Error deleting job {job.id}: {str(e)}")
except Exception as e:
print(f"Error on cleanup_azure_ft_models: {str(e)}")
@pytest.mark.parametrize("provider", ["openai"])
@pytest.mark.asyncio()
@pytest.mark.flaky(retries=3, delay=1)
@@ -304,69 +367,6 @@ async def test_async_create_batch(provider):
cleanup_azure_ft_models()
def cleanup_azure_files():
"""
Delete all files for Azure - helper for when we run out of Azure Files Quota
"""
azure_files = litellm.file_list(
custom_llm_provider="azure",
api_key=os.getenv("AZURE_FT_API_KEY"),
api_base=os.getenv("AZURE_FT_API_BASE"),
)
print("azure_files=", azure_files)
for _file in azure_files:
print("deleting file=", _file)
delete_file_response = litellm.file_delete(
file_id=_file.id,
custom_llm_provider="azure",
api_key=os.getenv("AZURE_FT_API_KEY"),
api_base=os.getenv("AZURE_FT_API_BASE"),
)
print("delete_file_response=", delete_file_response)
assert delete_file_response.id == _file.id
def cleanup_azure_ft_models():
"""
Test CLEANUP: Delete all existing fine tuning jobs for Azure
"""
try:
from openai import AzureOpenAI
import requests
client = AzureOpenAI(
api_key=os.getenv("AZURE_FT_API_KEY"),
azure_endpoint=os.getenv("AZURE_FT_API_BASE"),
api_version=os.getenv("AZURE_API_VERSION"),
)
_list_ft_jobs = client.fine_tuning.jobs.list()
print("_list_ft_jobs=", _list_ft_jobs)
# delete all ft jobs make post request to this
# Delete all fine-tuning jobs
for job in _list_ft_jobs:
try:
endpoint = os.getenv("AZURE_FT_API_BASE").rstrip("/")
url = f"{endpoint}/openai/fine_tuning/jobs/{job.id}?api-version=2024-10-21"
print("url=", url)
headers = {
"api-key": os.getenv("AZURE_FT_API_KEY"),
"Content-Type": "application/json",
}
response = requests.delete(url, headers=headers)
print(f"Deleting job {job.id}: Status {response.status_code}")
if response.status_code != 204:
print(f"Error deleting job {job.id}: {response.text}")
except Exception as e:
print(f"Error deleting job {job.id}: {str(e)}")
except Exception as e:
print(f"Error on cleanup_azure_ft_models: {str(e)}")
@pytest.mark.asyncio
async def test_avertex_batch_prediction():
load_vertex_ai_credentials()