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fix create ft jobs api test

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This commit is contained in:
Ishaan Jaff 2024-07-30 17:13:27 -07:00
parent d611e5817c
commit c5157120a2
1 changed files with 83 additions and 67 deletions
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150
litellm/tests/test_fine_tuning_api.py
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@ -14,101 +14,117 @@ import litellm
litellm.num_retries = 0 litellm.num_retries = 0
import logging import logging
import openai
from litellm import create_fine_tuning_job from litellm import create_fine_tuning_job
from litellm._logging import verbose_logger from litellm._logging import verbose_logger
def test_create_fine_tune_job(): def test_create_fine_tune_job():
verbose_logger.setLevel(logging.DEBUG) try:
file_name = "openai_batch_completions.jsonl" verbose_logger.setLevel(logging.DEBUG)
_current_dir = os.path.dirname(os.path.abspath(__file__)) file_name = "openai_batch_completions.jsonl"
file_path = os.path.join(_current_dir, file_name) _current_dir = os.path.dirname(os.path.abspath(__file__))
file_path = os.path.join(_current_dir, file_name)
file_obj = litellm.create_file( file_obj = litellm.create_file(
file=open(file_path, "rb"), file=open(file_path, "rb"),
purpose="fine-tune", purpose="fine-tune",
custom_llm_provider="openai", custom_llm_provider="openai",
) )
print("Response from creating file=", file_obj) print("Response from creating file=", file_obj)
create_fine_tuning_response = litellm.create_fine_tuning_job( create_fine_tuning_response = litellm.create_fine_tuning_job(
model="gpt-3.5-turbo-0125", model="gpt-3.5-turbo-0125",
training_file=file_obj.id, training_file=file_obj.id,
) )
print("response from litellm.create_fine_tuning_job=", create_fine_tuning_response) print(
"response from litellm.create_fine_tuning_job=", create_fine_tuning_response
)
assert create_fine_tuning_response.id is not None assert create_fine_tuning_response.id is not None
assert create_fine_tuning_response.model == "gpt-3.5-turbo-0125" assert create_fine_tuning_response.model == "gpt-3.5-turbo-0125"
# list fine tuning jobs # list fine tuning jobs
print("listing ft jobs") print("listing ft jobs")
ft_jobs = litellm.list_fine_tuning_jobs(limit=2) ft_jobs = litellm.list_fine_tuning_jobs(limit=2)
print("response from litellm.list_fine_tuning_jobs=", ft_jobs) print("response from litellm.list_fine_tuning_jobs=", ft_jobs)
assert len(list(ft_jobs)) > 0 assert len(list(ft_jobs)) > 0
# delete file # delete file
litellm.file_delete( litellm.file_delete(
file_id=file_obj.id, file_id=file_obj.id,
) )
# cancel ft job # cancel ft job
response = litellm.cancel_fine_tuning_job( response = litellm.cancel_fine_tuning_job(
fine_tuning_job_id=create_fine_tuning_response.id, fine_tuning_job_id=create_fine_tuning_response.id,
) )
print("response from litellm.cancel_fine_tuning_job=", response) print("response from litellm.cancel_fine_tuning_job=", response)
assert response.status == "cancelled" assert response.status == "cancelled"
assert response.id == create_fine_tuning_response.id assert response.id == create_fine_tuning_response.id
pass pass
except openai.RateLimitError:
pass
except Exception as e:
pytest.fail(f"Error occurred: {e}")
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_create_fine_tune_jobs_async(): async def test_create_fine_tune_jobs_async():
verbose_logger.setLevel(logging.DEBUG) try:
file_name = "openai_batch_completions.jsonl" verbose_logger.setLevel(logging.DEBUG)
_current_dir = os.path.dirname(os.path.abspath(__file__)) file_name = "openai_batch_completions.jsonl"
file_path = os.path.join(_current_dir, file_name) _current_dir = os.path.dirname(os.path.abspath(__file__))
file_path = os.path.join(_current_dir, file_name)
file_obj = await litellm.acreate_file( file_obj = await litellm.acreate_file(
file=open(file_path, "rb"), file=open(file_path, "rb"),
purpose="fine-tune", purpose="fine-tune",
custom_llm_provider="openai", custom_llm_provider="openai",
) )
print("Response from creating file=", file_obj) print("Response from creating file=", file_obj)
create_fine_tuning_response = await litellm.acreate_fine_tuning_job( create_fine_tuning_response = await litellm.acreate_fine_tuning_job(
model="gpt-3.5-turbo-0125", model="gpt-3.5-turbo-0125",
training_file=file_obj.id, training_file=file_obj.id,
) )
print("response from litellm.create_fine_tuning_job=", create_fine_tuning_response) print(
"response from litellm.create_fine_tuning_job=", create_fine_tuning_response
)
assert create_fine_tuning_response.id is not None assert create_fine_tuning_response.id is not None
assert create_fine_tuning_response.model == "gpt-3.5-turbo-0125" assert create_fine_tuning_response.model == "gpt-3.5-turbo-0125"
# list fine tuning jobs # list fine tuning jobs
print("listing ft jobs") print("listing ft jobs")
ft_jobs = await litellm.alist_fine_tuning_jobs(limit=2) ft_jobs = await litellm.alist_fine_tuning_jobs(limit=2)
print("response from litellm.list_fine_tuning_jobs=", ft_jobs) print("response from litellm.list_fine_tuning_jobs=", ft_jobs)
assert len(list(ft_jobs)) > 0 assert len(list(ft_jobs)) > 0
# delete file # delete file
await litellm.afile_delete( await litellm.afile_delete(
file_id=file_obj.id, file_id=file_obj.id,
) )
# cancel ft job # cancel ft job
response = await litellm.acancel_fine_tuning_job( response = await litellm.acancel_fine_tuning_job(
fine_tuning_job_id=create_fine_tuning_response.id, fine_tuning_job_id=create_fine_tuning_response.id,
) )
print("response from litellm.cancel_fine_tuning_job=", response) print("response from litellm.cancel_fine_tuning_job=", response)
assert response.status == "cancelled" assert response.status == "cancelled"
assert response.id == create_fine_tuning_response.id assert response.id == create_fine_tuning_response.id
except openai.RateLimitError:
pass
except Exception as e:
pytest.fail(f"Error occurred: {e}")
pass pass