litellm/tests/local_testing/test_supabase_integration.py
Krish Dholakia d57be47b0f
Litellm ruff linting enforcement (#5992)
* ci(config.yml): add a 'check_code_quality' step

Addresses https://github.com/BerriAI/litellm/issues/5991

* ci(config.yml): check why circle ci doesn't pick up this test

* ci(config.yml): fix to run 'check_code_quality' tests

* fix(__init__.py): fix unprotected import

* fix(__init__.py): don't remove unused imports

* build(ruff.toml): update ruff.toml to ignore unused imports

* fix: fix: ruff + pyright - fix linting + type-checking errors

* fix: fix linting errors

* fix(lago.py): fix module init error

* fix: fix linting errors

* ci(config.yml): cd into correct dir for checks

* fix(proxy_server.py): fix linting error

* fix(utils.py): fix bare except

causes ruff linting errors

* fix: ruff - fix remaining linting errors

* fix(clickhouse.py): use standard logging object

* fix(__init__.py): fix unprotected import

* fix: ruff - fix linting errors

* fix: fix linting errors

* ci(config.yml): cleanup code qa step (formatting handled in local_testing)

* fix(_health_endpoints.py): fix ruff linting errors

* ci(config.yml): just use ruff in check_code_quality pipeline for now

* build(custom_guardrail.py): include missing file

* style(embedding_handler.py): fix ruff check
2024-10-01 19:44:20 -04:00

79 lines
2 KiB
Python

#### What this tests ####
# This tests if logging to the supabase integration actually works
import sys, os
import traceback
import pytest
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import litellm
from litellm import embedding, completion
litellm.input_callback = ["supabase"]
litellm.success_callback = ["supabase"]
litellm.failure_callback = ["supabase"]
litellm.set_verbose = False
def test_supabase_logging():
try:
response = completion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hello tell me hi"}],
user="ishaanRegular",
max_tokens=10,
)
print(response)
except Exception as e:
print(e)
# test_supabase_logging()
def test_acompletion_sync():
import asyncio
import time
async def completion_call():
try:
response = await litellm.acompletion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "write a poem"}],
max_tokens=10,
stream=True,
user="ishaanStreamingUser",
timeout=5,
)
complete_response = ""
start_time = time.time()
async for chunk in response:
chunk_time = time.time()
# print(chunk)
complete_response += chunk["choices"][0]["delta"].get("content", "")
# print(complete_response)
# print(f"time since initial request: {chunk_time - start_time:.5f}")
if chunk["choices"][0].get("finish_reason", None) != None:
print("🤗🤗🤗 DONE")
return
except litellm.Timeout as e:
pass
except Exception:
print(f"error occurred: {traceback.format_exc()}")
pass
asyncio.run(completion_call())
# test_acompletion_sync()
# reset callbacks
litellm.input_callback = []
litellm.success_callback = []
litellm.failure_callback = []