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https://github.com/tiennm99/litellm.git
synced 2026-08-10 22:24:51 +00:00
test fix openai batches and files
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@@ -170,6 +170,69 @@ class TestCustomLogger(CustomLogger):
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self.standard_logging_object = kwargs["standard_logging_object"]
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def cleanup_azure_files():
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"""
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Delete all files for Azure - helper for when we run out of Azure Files Quota
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"""
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azure_files = litellm.file_list(
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custom_llm_provider="azure",
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api_key=os.getenv("AZURE_FT_API_KEY"),
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api_base=os.getenv("AZURE_FT_API_BASE"),
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)
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print("azure_files=", azure_files)
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for _file in azure_files:
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print("deleting file=", _file)
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delete_file_response = litellm.file_delete(
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file_id=_file.id,
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custom_llm_provider="azure",
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api_key=os.getenv("AZURE_FT_API_KEY"),
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api_base=os.getenv("AZURE_FT_API_BASE"),
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)
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print("delete_file_response=", delete_file_response)
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assert delete_file_response.id == _file.id
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def cleanup_azure_ft_models():
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"""
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Test CLEANUP: Delete all existing fine tuning jobs for Azure
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"""
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try:
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from openai import AzureOpenAI
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import requests
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client = AzureOpenAI(
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api_key=os.getenv("AZURE_FT_API_KEY"),
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azure_endpoint=os.getenv("AZURE_FT_API_BASE"),
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api_version=os.getenv("AZURE_API_VERSION"),
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)
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_list_ft_jobs = client.fine_tuning.jobs.list()
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print("_list_ft_jobs=", _list_ft_jobs)
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# delete all ft jobs make post request to this
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# Delete all fine-tuning jobs
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for job in _list_ft_jobs:
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try:
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endpoint = os.getenv("AZURE_FT_API_BASE").rstrip("/")
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url = f"{endpoint}/openai/fine_tuning/jobs/{job.id}?api-version=2024-10-21"
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print("url=", url)
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headers = {
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"api-key": os.getenv("AZURE_FT_API_KEY"),
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"Content-Type": "application/json",
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}
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response = requests.delete(url, headers=headers)
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print(f"Deleting job {job.id}: Status {response.status_code}")
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if response.status_code != 204:
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print(f"Error deleting job {job.id}: {response.text}")
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except Exception as e:
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print(f"Error deleting job {job.id}: {str(e)}")
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except Exception as e:
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print(f"Error on cleanup_azure_ft_models: {str(e)}")
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@pytest.mark.parametrize("provider", ["openai"])
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@pytest.mark.asyncio()
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@pytest.mark.flaky(retries=3, delay=1)
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@@ -304,69 +367,6 @@ async def test_async_create_batch(provider):
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cleanup_azure_ft_models()
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def cleanup_azure_files():
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"""
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Delete all files for Azure - helper for when we run out of Azure Files Quota
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"""
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azure_files = litellm.file_list(
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custom_llm_provider="azure",
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api_key=os.getenv("AZURE_FT_API_KEY"),
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api_base=os.getenv("AZURE_FT_API_BASE"),
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)
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print("azure_files=", azure_files)
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for _file in azure_files:
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print("deleting file=", _file)
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delete_file_response = litellm.file_delete(
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file_id=_file.id,
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custom_llm_provider="azure",
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api_key=os.getenv("AZURE_FT_API_KEY"),
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api_base=os.getenv("AZURE_FT_API_BASE"),
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)
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print("delete_file_response=", delete_file_response)
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assert delete_file_response.id == _file.id
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def cleanup_azure_ft_models():
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"""
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Test CLEANUP: Delete all existing fine tuning jobs for Azure
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"""
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try:
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from openai import AzureOpenAI
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import requests
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client = AzureOpenAI(
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api_key=os.getenv("AZURE_FT_API_KEY"),
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azure_endpoint=os.getenv("AZURE_FT_API_BASE"),
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api_version=os.getenv("AZURE_API_VERSION"),
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)
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_list_ft_jobs = client.fine_tuning.jobs.list()
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print("_list_ft_jobs=", _list_ft_jobs)
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# delete all ft jobs make post request to this
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# Delete all fine-tuning jobs
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for job in _list_ft_jobs:
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try:
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endpoint = os.getenv("AZURE_FT_API_BASE").rstrip("/")
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url = f"{endpoint}/openai/fine_tuning/jobs/{job.id}?api-version=2024-10-21"
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print("url=", url)
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headers = {
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"api-key": os.getenv("AZURE_FT_API_KEY"),
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"Content-Type": "application/json",
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}
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response = requests.delete(url, headers=headers)
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print(f"Deleting job {job.id}: Status {response.status_code}")
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if response.status_code != 204:
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print(f"Error deleting job {job.id}: {response.text}")
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except Exception as e:
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print(f"Error deleting job {job.id}: {str(e)}")
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except Exception as e:
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print(f"Error on cleanup_azure_ft_models: {str(e)}")
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@pytest.mark.asyncio
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async def test_avertex_batch_prediction():
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load_vertex_ai_credentials()
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