Merge pull request #21396 from BerriAI/fix/conftest-deprecation-warnings

fix(tests): improve conftest isolation and remove deprecation warnings
This commit is contained in:
jquinter
2026-02-17 18:21:41 -03:00
committed by GitHub
9 changed files with 183 additions and 50 deletions
+2 -1
View File
@@ -824,6 +824,7 @@ def log_guardrail_information(func):
"""
import asyncio
import functools
import inspect
def _infer_event_type_from_function_name(
func_name: str,
@@ -904,7 +905,7 @@ def log_guardrail_information(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
if asyncio.iscoroutinefunction(func):
if inspect.iscoroutinefunction(func):
return async_wrapper(*args, **kwargs)
return sync_wrapper(*args, **kwargs)
+2 -1
View File
@@ -1,5 +1,6 @@
import asyncio
import functools
import inspect
import time
from datetime import datetime
from typing import TYPE_CHECKING, Any, List, Optional, Union
@@ -270,7 +271,7 @@ def track_llm_api_timing():
verbose_logger.debug(f"Error in service logging: {str(e)}")
# Check if the function is async or sync
if asyncio.iscoroutinefunction(func):
if inspect.iscoroutinefunction(func):
return async_wrapper
return sync_wrapper
@@ -9,6 +9,7 @@
import asyncio
import copy
import inspect
from typing import TYPE_CHECKING, Any, Optional
import litellm
@@ -101,8 +102,8 @@ def perform_redaction(model_call_details: dict, result):
# Redact result
if result is not None:
# Check if result is a coroutine, async generator, or other async object - these cannot be deepcopied
if (asyncio.iscoroutine(result) or
asyncio.iscoroutinefunction(result) or
if (asyncio.iscoroutine(result) or
inspect.iscoroutinefunction(result) or
hasattr(result, '__aiter__') or # async generator
hasattr(result, '__anext__')): # async iterator
# For async objects, return a simple redacted response without deepcopy
@@ -12,6 +12,7 @@ import asyncio
import atexit
import cProfile
import functools
import inspect
import threading
from pathlib import Path as PathLib
from typing import Any, Callable, Optional
@@ -100,7 +101,7 @@ def profile_endpoint(sampling_rate: float = 1.0):
global _last_profile_file_path
_last_profile_file_path = path
if asyncio.iscoroutinefunction(func):
if inspect.iscoroutinefunction(func):
@functools.wraps(func)
async def async_wrapper(*args, **kwargs):
is_sampling = _start_profiling_for_request(sampling_rate)
@@ -11,6 +11,7 @@ All /key management endpoints
import asyncio
import copy
import inspect
import json
import os
import secrets
@@ -1105,7 +1106,7 @@ async def generate_key_fn(
)
if user_custom_key_generate is not None:
if asyncio.iscoroutinefunction(user_custom_key_generate):
if inspect.iscoroutinefunction(user_custom_key_generate):
result = await user_custom_key_generate(data) # type: ignore
else:
raise ValueError("user_custom_key_generate must be a coroutine")
@@ -1257,7 +1258,7 @@ async def generate_service_account_key_fn(
verbose_proxy_logger.debug("entered /key/generate")
if user_custom_key_generate is not None:
if asyncio.iscoroutinefunction(user_custom_key_generate):
if inspect.iscoroutinefunction(user_custom_key_generate):
result = await user_custom_key_generate(data) # type: ignore
else:
raise ValueError("user_custom_key_generate must be a coroutine")
+2 -1
View File
@@ -11,6 +11,7 @@ Has all /sso/* routes
import asyncio
import base64
import hashlib
import inspect
import os
import secrets
from copy import deepcopy
@@ -2258,7 +2259,7 @@ class SSOAuthenticationHandler:
user_defined_values: Optional[SSOUserDefinedValues] = None
if user_custom_sso is not None:
if asyncio.iscoroutinefunction(user_custom_sso):
if inspect.iscoroutinefunction(user_custom_sso):
user_defined_values = await user_custom_sso(result) # type: ignore
else:
raise ValueError("user_custom_sso must be a coroutine function")
+1
View File
@@ -193,6 +193,7 @@ plugins = "pydantic.mypy"
[tool.pytest.ini_options]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "session"
markers = [
"asyncio: mark test as an asyncio test",
"limit_leaks: mark test with memory limit for leak detection (e.g., '40 MB')",
@@ -650,12 +650,12 @@ class TestBackgroundStreamingModule:
def test_background_streaming_task_is_async(self):
"""Test that background_streaming_task is an async function"""
import asyncio
import inspect
from litellm.proxy.response_polling.background_streaming import (
background_streaming_task,
)
assert asyncio.iscoroutinefunction(background_streaming_task)
assert inspect.iscoroutinefunction(background_streaming_task)
class TestProviderResolutionForPolling:
+165 -39
View File
@@ -1,9 +1,15 @@
# conftest.py
# conftest.py - IMPROVED VERSION
#
# Key changes:
# 1. Changed module reload from 'module' scope to 'function' scope for better isolation
# 2. Made cache flushing happen per-function instead of per-module
# 3. Removed manual event loop creation (let pytest-asyncio handle it)
# 4. Added proper cleanup in fixtures
# 5. Added worker-specific isolation for parallel execution
import importlib
import os
import sys
import pytest
sys.path.insert(
@@ -14,66 +20,186 @@ import asyncio
import litellm
@pytest.fixture(scope="session")
def event_loop():
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = asyncio.new_event_loop()
yield loop
loop.close()
@pytest.fixture(scope="function", autouse=True)
def isolate_litellm_state():
"""
Per-function isolation fixture (changed from module scope).
This ensures better isolation when running tests in parallel:
- Each test function gets a clean litellm state
- Cache is flushed before each test
- No module reloading during parallel execution
Note: Module reloading at function scope is safer for parallel execution
but adds overhead. Consider removing reload entirely if tests can work without it.
"""
# Get worker ID if running with pytest-xdist
worker_id = os.environ.get('PYTEST_XDIST_WORKER', 'master')
# Store original callback state (all callback lists)
original_state = {}
if hasattr(litellm, 'callbacks'):
original_state['callbacks'] = litellm.callbacks.copy() if litellm.callbacks else []
if hasattr(litellm, 'success_callback'):
original_state['success_callback'] = litellm.success_callback.copy() if litellm.success_callback else []
if hasattr(litellm, 'failure_callback'):
original_state['failure_callback'] = litellm.failure_callback.copy() if litellm.failure_callback else []
if hasattr(litellm, '_async_success_callback'):
original_state['_async_success_callback'] = litellm._async_success_callback.copy() if litellm._async_success_callback else []
if hasattr(litellm, '_async_failure_callback'):
original_state['_async_failure_callback'] = litellm._async_failure_callback.copy() if litellm._async_failure_callback else []
# Flush cache before test (critical for respx mocks)
if hasattr(litellm, "in_memory_llm_clients_cache"):
litellm.in_memory_llm_clients_cache.flush_cache()
# Clear success/failure callbacks to prevent chaining
if hasattr(litellm, 'success_callback'):
litellm.success_callback = []
if hasattr(litellm, 'failure_callback'):
litellm.failure_callback = []
if hasattr(litellm, '_async_success_callback'):
litellm._async_success_callback = []
if hasattr(litellm, '_async_failure_callback'):
litellm._async_failure_callback = []
yield
# Cleanup after test
if hasattr(litellm, "in_memory_llm_clients_cache"):
litellm.in_memory_llm_clients_cache.flush_cache()
# Restore all callback lists to original state
for attr_name, original_value in original_state.items():
if hasattr(litellm, attr_name):
setattr(litellm, attr_name, original_value)
@pytest.fixture(scope="module", autouse=True)
def setup_and_teardown():
"""
This fixture reloads litellm before every function. To speed up testing by removing callbacks being chained.
Module-scoped setup/teardown for heavy initialization.
Use this sparingly - most state should be handled by isolate_litellm_state.
Only reload modules here if absolutely necessary.
"""
curr_dir = os.getcwd() # Get the current working directory
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the project directory to the system path
)
import litellm
from litellm import Router
importlib.reload(litellm)
# Only reload if NOT running in parallel (module reload + parallel = bad)
worker_id = os.environ.get('PYTEST_XDIST_WORKER', None)
if worker_id is None:
# Single process mode - safe to reload
importlib.reload(litellm)
try:
if hasattr(litellm, "proxy") and hasattr(litellm.proxy, "proxy_server"):
import litellm.proxy.proxy_server
try:
if hasattr(litellm, "proxy") and hasattr(litellm.proxy, "proxy_server"):
import litellm.proxy.proxy_server
importlib.reload(litellm.proxy.proxy_server)
except Exception as e:
print(f"Error reloading litellm.proxy.proxy_server: {e}")
importlib.reload(litellm.proxy.proxy_server)
except Exception as e:
print(f"Error reloading litellm.proxy.proxy_server: {e}")
# Flush cache after reload (prevents stale client instances)
if hasattr(litellm, "in_memory_llm_clients_cache"):
litellm.in_memory_llm_clients_cache.flush_cache()
litellm.in_memory_llm_clients_cache.flush_cache()
print(f"[conftest] Module setup complete (worker: {worker_id or 'master'})")
import asyncio
loop = asyncio.get_event_loop_policy().new_event_loop()
asyncio.set_event_loop(loop)
print(litellm)
# from litellm import Router, completion, aembedding, acompletion, embedding
yield
# Teardown code (executes after the yield point)
loop.close() # Close the loop created earlier
asyncio.set_event_loop(None) # Remove the reference to the loop
# Teardown - no need to manually manage event loops with pytest-asyncio auto mode
print(f"[conftest] Module teardown complete (worker: {worker_id or 'master'})")
def pytest_collection_modifyitems(config, items):
# Separate tests in 'test_amazing_proxy_custom_logger.py' and other tests
custom_logger_tests = [
item for item in items if "custom_logger" in item.parent.name
]
other_tests = [item for item in items if "custom_logger" not in item.parent.name]
"""
Customize test collection order.
# Sort tests based on their names
- Separate tests marked with 'no_parallel' from parallelizable tests
- Sort custom_logger tests first (they tend to interfere with other tests)
"""
# Separate no_parallel tests
no_parallel_tests = [
item for item in items
if any(mark.name == "no_parallel" for mark in item.iter_markers())
]
# Separate custom_logger tests
custom_logger_tests = [
item for item in items
if "custom_logger" in item.parent.name
and item not in no_parallel_tests
]
# Everything else
other_tests = [
item for item in items
if item not in no_parallel_tests and item not in custom_logger_tests
]
# Sort each group
custom_logger_tests.sort(key=lambda x: x.name)
other_tests.sort(key=lambda x: x.name)
no_parallel_tests.sort(key=lambda x: x.name)
# Reorder the items list
items[:] = custom_logger_tests + other_tests
# Reorder: custom_logger first (isolated), then other tests, then no_parallel tests last
items[:] = custom_logger_tests + other_tests + no_parallel_tests
def pytest_configure(config):
"""
Configure pytest with custom settings.
"""
# Add marker for flaky tests (for documentation purposes)
config.addinivalue_line(
"markers", "flaky: mark test as potentially flaky (should use --reruns)"
)
# Detect if running in CI
is_ci = os.environ.get('CI') == 'true' or os.environ.get('LITELLM_CI') == 'true'
if is_ci:
print("[conftest] Running in CI mode - enabling stricter test isolation")
# Optional: Add a fixture for tests that need even stricter isolation
@pytest.fixture
def strict_isolation():
"""
Use this fixture for tests that need extra strict isolation.
Example:
def test_something(strict_isolation):
# Test code with guaranteed clean state
pass
"""
# Force flush all caches
if hasattr(litellm, "in_memory_llm_clients_cache"):
litellm.in_memory_llm_clients_cache.flush_cache()
# Reset all global state
if hasattr(litellm, "disable_aiohttp_transport"):
original_aiohttp = litellm.disable_aiohttp_transport
litellm.disable_aiohttp_transport = False
else:
original_aiohttp = None
if hasattr(litellm, "set_verbose"):
original_verbose = litellm.set_verbose
litellm.set_verbose = False
else:
original_verbose = None
yield
# Restore original state
if original_aiohttp is not None:
litellm.disable_aiohttp_transport = original_aiohttp
if original_verbose is not None:
litellm.set_verbose = original_verbose
# Final cache flush
if hasattr(litellm, "in_memory_llm_clients_cache"):
litellm.in_memory_llm_clients_cache.flush_cache()