forked from phoenix/litellm-mirror
fix(test_caching.py): add longer delay for async test
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parent
161e836427
commit
d67e47d7fd
2 changed files with 55 additions and 35 deletions
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@ -178,11 +178,17 @@ def test_caching_with_default_ttl():
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pytest.fail(f"Error occurred: {e}")
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def test_caching_with_cache_controls():
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@pytest.mark.parametrize(
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"sync_flag",
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[True, False],
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)
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@pytest.mark.asyncio
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async def test_caching_with_cache_controls(sync_flag):
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try:
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litellm.set_verbose = True
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litellm.cache = Cache()
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message = [{"role": "user", "content": f"Hey, how's it going? {uuid.uuid4()}"}]
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if sync_flag:
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## TTL = 0
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response1 = completion(
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model="gpt-3.5-turbo", messages=messages, cache={"ttl": 0}
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@ -190,11 +196,23 @@ def test_caching_with_cache_controls():
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response2 = completion(
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model="gpt-3.5-turbo", messages=messages, cache={"s-maxage": 10}
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)
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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assert response2["id"] != response1["id"]
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else:
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## TTL = 0
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response1 = await litellm.acompletion(
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model="gpt-3.5-turbo", messages=messages, cache={"ttl": 0}
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)
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await asyncio.sleep(10)
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response2 = await litellm.acompletion(
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model="gpt-3.5-turbo", messages=messages, cache={"s-maxage": 10}
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)
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assert response2["id"] != response1["id"]
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message = [{"role": "user", "content": f"Hey, how's it going? {uuid.uuid4()}"}]
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## TTL = 5
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if sync_flag:
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response1 = completion(
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model="gpt-3.5-turbo", messages=messages, cache={"ttl": 5}
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)
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@ -204,6 +222,17 @@ def test_caching_with_cache_controls():
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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assert response2["id"] == response1["id"]
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else:
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response1 = await litellm.acompletion(
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model="gpt-3.5-turbo", messages=messages, cache={"ttl": 25}
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)
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await asyncio.sleep(10)
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response2 = await litellm.acompletion(
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model="gpt-3.5-turbo", messages=messages, cache={"s-maxage": 25}
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)
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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assert response2["id"] == response1["id"]
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except Exception as e:
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print(f"error occurred: {traceback.format_exc()}")
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pytest.fail(f"Error occurred: {e}")
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@ -2716,7 +2716,7 @@ def client(original_function):
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# [OPTIONAL] CHECK CACHE
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print_verbose(
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f"kwargs[caching]: {kwargs.get('caching', False)}; litellm.cache: {litellm.cache}"
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f"SYNC kwargs[caching]: {kwargs.get('caching', False)}; litellm.cache: {litellm.cache}; kwargs.get('cache')['no-cache']: {kwargs.get('cache', {}).get('no-cache', False)}"
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)
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# if caching is false or cache["no-cache"]==True, don't run this
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if (
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@ -2724,17 +2724,14 @@ def client(original_function):
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(
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(
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kwargs.get("caching", None) is None
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and kwargs.get("cache", None) is None
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and litellm.cache is not None
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)
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or kwargs.get("caching", False) == True
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)
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and (
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kwargs.get("cache", None) is None
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or kwargs["cache"].get("no-cache", False) != True
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)
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and kwargs.get("cache", {}).get("no-cache", False) != True
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)
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and kwargs.get("aembedding", False) != True
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and kwargs.get("atext_completion", False) != True
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and kwargs.get("acompletion", False) != True
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and kwargs.get("aimg_generation", False) != True
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and kwargs.get("atranscription", False) != True
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@ -3014,21 +3011,16 @@ def client(original_function):
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# [OPTIONAL] CHECK CACHE
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print_verbose(
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f"kwargs[caching]: {kwargs.get('caching', False)}; litellm.cache: {litellm.cache}; kwargs.get('cache'): {kwargs.get('cache', None)}"
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f"ASYNC kwargs[caching]: {kwargs.get('caching', False)}; litellm.cache: {litellm.cache}; kwargs.get('cache'): {kwargs.get('cache', None)}"
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)
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# if caching is false, don't run this
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final_embedding_cached_response = None
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if (
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(
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kwargs.get("caching", None) is None
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and kwargs.get("cache", None) is None
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and litellm.cache is not None
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)
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(kwargs.get("caching", None) is None and litellm.cache is not None)
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or kwargs.get("caching", False) == True
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) and (
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kwargs.get("cache", None) is None
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or kwargs["cache"].get("no-cache", False) != True
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kwargs.get("cache", {}).get("no-cache", False) != True
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): # allow users to control returning cached responses from the completion function
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# checking cache
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print_verbose("INSIDE CHECKING CACHE")
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@ -3074,7 +3066,6 @@ def client(original_function):
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preset_cache_key # for streaming calls, we need to pass the preset_cache_key
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)
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cached_result = litellm.cache.get_cache(*args, **kwargs)
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if cached_result is not None and not isinstance(
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cached_result, list
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):
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