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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
242 lines
8.3 KiB
Python
242 lines
8.3 KiB
Python
import os
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import time
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import traceback
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from litellm._uuid import uuid
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from dotenv import load_dotenv
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load_dotenv()
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import asyncio
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import hashlib
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import random
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import pytest
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import litellm
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from litellm import aembedding, completion, embedding
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from litellm.caching.caching import Cache
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from unittest.mock import AsyncMock, patch, MagicMock, call
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import datetime
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from datetime import timedelta
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from litellm.caching import *
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@pytest.mark.parametrize("is_async", [True, False])
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@pytest.mark.asyncio
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async def test_dual_cache_get_set(is_async):
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"""Test that DualCache reads from in-memory cache first for both sync and async operations"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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# Test basic set/get
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test_key = f"test_key_{str(uuid.uuid4())}"
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test_value = {"test": "value"}
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if is_async:
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await dual_cache.async_set_cache(test_key, test_value)
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mock_method = "async_get_cache"
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else:
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dual_cache.set_cache(test_key, test_value)
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mock_method = "get_cache"
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# Mock Redis get to ensure we're not calling it
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# this should only read in memory since we just set test_key
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with patch.object(redis_cache, mock_method) as mock_redis_get:
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if is_async:
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result = await dual_cache.async_get_cache(test_key)
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else:
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result = dual_cache.get_cache(test_key)
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assert result == test_value
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mock_redis_get.assert_not_called() # Verify Redis wasn't accessed
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@pytest.mark.parametrize("is_async", [True, False])
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@pytest.mark.asyncio
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async def test_dual_cache_local_only(is_async):
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"""Test that when local_only=True, only in-memory cache is used"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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test_key = f"test_key_{str(uuid.uuid4())}"
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test_value = {"test": "value"}
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# Mock Redis methods to ensure they're not called
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redis_set_method = "async_set_cache" if is_async else "set_cache"
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redis_get_method = "async_get_cache" if is_async else "get_cache"
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with (
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patch.object(redis_cache, redis_set_method) as mock_redis_set,
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patch.object(redis_cache, redis_get_method) as mock_redis_get,
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):
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# Set value with local_only=True
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if is_async:
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await dual_cache.async_set_cache(test_key, test_value, local_only=True)
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result = await dual_cache.async_get_cache(test_key, local_only=True)
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else:
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dual_cache.set_cache(test_key, test_value, local_only=True)
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result = dual_cache.get_cache(test_key, local_only=True)
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assert result == test_value
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mock_redis_set.assert_not_called() # Verify Redis set wasn't called
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mock_redis_get.assert_not_called() # Verify Redis get wasn't called
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@pytest.mark.parametrize("is_async", [True, False])
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@pytest.mark.asyncio
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async def test_dual_cache_value_not_in_memory(is_async):
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"""Test that DualCache falls back to Redis when value isn't in memory,
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and subsequent requests use in-memory cache"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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test_key = f"test_key_{str(uuid.uuid4())}"
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test_value = {"test": "value"}
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# First, set value only in Redis
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if is_async:
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await redis_cache.async_set_cache(test_key, test_value)
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else:
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redis_cache.set_cache(test_key, test_value)
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# First request - should fall back to Redis and populate in-memory
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if is_async:
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result = await dual_cache.async_get_cache(test_key)
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else:
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result = dual_cache.get_cache(test_key)
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assert result == test_value
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# Second request - should now use in-memory cache
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with patch.object(
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redis_cache, "async_get_cache" if is_async else "get_cache"
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) as mock_redis_get:
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if is_async:
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result = await dual_cache.async_get_cache(test_key)
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else:
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result = dual_cache.get_cache(test_key)
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assert result == test_value
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mock_redis_get.assert_not_called() # Verify Redis wasn't accessed second time
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@pytest.mark.parametrize("is_async", [True, False])
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@pytest.mark.asyncio
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async def test_dual_cache_batch_operations(is_async):
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"""Test batch get/set operations use in-memory cache correctly"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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test_keys = [f"test_key_{str(uuid.uuid4())}" for _ in range(3)]
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test_values = [{"test": f"value_{i}"} for i in range(3)]
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cache_list = list(zip(test_keys, test_values))
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# Set values
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if is_async:
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await dual_cache.async_set_cache_pipeline(cache_list)
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else:
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for key, value in cache_list:
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dual_cache.set_cache(key, value)
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# Verify in-memory cache is used for subsequent reads
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with patch.object(
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redis_cache, "async_batch_get_cache" if is_async else "batch_get_cache"
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) as mock_redis_get:
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if is_async:
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results = await dual_cache.async_batch_get_cache(test_keys)
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else:
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results = dual_cache.batch_get_cache(test_keys, parent_otel_span=None)
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assert results == test_values
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mock_redis_get.assert_not_called()
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@pytest.mark.parametrize("is_async", [True, False])
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@pytest.mark.asyncio
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async def test_dual_cache_increment(is_async):
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"""Test increment operations only use in memory when local_only=True"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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test_key = f"counter_{str(uuid.uuid4())}"
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increment_value = 1
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# increment should use in-memory cache
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with patch.object(
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redis_cache, "async_increment" if is_async else "increment_cache"
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) as mock_redis_increment:
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if is_async:
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result = await dual_cache.async_increment_cache(
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test_key,
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increment_value,
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local_only=True,
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parent_otel_span=None,
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)
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else:
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result = dual_cache.increment_cache(
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test_key, increment_value, local_only=True
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)
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assert result == increment_value
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mock_redis_increment.assert_not_called()
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@pytest.mark.asyncio
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async def test_dual_cache_sadd():
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"""Test set add operations use in-memory cache for reads"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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test_key = f"set_{str(uuid.uuid4())}"
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test_values = ["value1", "value2", "value3"]
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# Add values to set
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await dual_cache.async_set_cache_sadd(test_key, test_values)
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# Verify in-memory cache is used for subsequent operations
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with patch.object(redis_cache, "async_get_cache") as mock_redis_get:
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result = await dual_cache.async_get_cache(test_key)
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assert set(result) == set(test_values)
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mock_redis_get.assert_not_called()
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@pytest.mark.parametrize("is_async", [True, False])
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@pytest.mark.asyncio
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async def test_dual_cache_delete(is_async):
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"""Test delete operations remove from both caches"""
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in_memory = InMemoryCache()
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redis_cache = RedisCache(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))
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dual_cache = DualCache(in_memory_cache=in_memory, redis_cache=redis_cache)
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test_key = f"test_key_{str(uuid.uuid4())}"
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test_value = {"test": "value"}
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# Set value
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if is_async:
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await dual_cache.async_set_cache(test_key, test_value)
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else:
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dual_cache.set_cache(test_key, test_value)
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# Delete value
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if is_async:
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await dual_cache.async_delete_cache(test_key)
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else:
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dual_cache.delete_cache(test_key)
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# Verify value is deleted from both caches
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if is_async:
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result = await dual_cache.async_get_cache(test_key)
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else:
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result = dual_cache.get_cache(test_key)
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assert result is None
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