mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
7bcf238a1a
Optimize the initialization method of GPTCache, so that users can use GPTCache more quickly.
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import os
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from typing import Any, Callable, Union
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import pytest
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import langchain
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from langchain.cache import GPTCache
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from langchain.schema import Generation
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from tests.unit_tests.llms.fake_llm import FakeLLM
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try:
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from gptcache import Cache # noqa: F401
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from gptcache.manager.factory import get_data_manager
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from gptcache.processor.pre import get_prompt
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gptcache_installed = True
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except ImportError:
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gptcache_installed = False
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def init_gptcache_map(cache_obj: Cache) -> None:
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i = getattr(init_gptcache_map, "_i", 0)
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cache_path = f"data_map_{i}.txt"
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if os.path.isfile(cache_path):
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os.remove(cache_path)
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cache_obj.init(
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pre_embedding_func=get_prompt,
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data_manager=get_data_manager(data_path=cache_path),
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)
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init_gptcache_map._i = i + 1 # type: ignore
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def init_gptcache_map_with_llm(cache_obj: Cache, llm: str) -> None:
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cache_path = f"data_map_{llm}.txt"
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if os.path.isfile(cache_path):
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os.remove(cache_path)
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cache_obj.init(
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pre_embedding_func=get_prompt,
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data_manager=get_data_manager(data_path=cache_path),
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)
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@pytest.mark.skipif(not gptcache_installed, reason="gptcache not installed")
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@pytest.mark.parametrize(
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"init_func", [None, init_gptcache_map, init_gptcache_map_with_llm]
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)
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def test_gptcache_caching(
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init_func: Union[Callable[[Any, str], None], Callable[[Any], None], None]
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) -> None:
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"""Test gptcache default caching behavior."""
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langchain.llm_cache = GPTCache(init_func)
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llm = FakeLLM()
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params = llm.dict()
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params["stop"] = None
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llm_string = str(sorted([(k, v) for k, v in params.items()]))
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langchain.llm_cache.update("foo", llm_string, [Generation(text="fizz")])
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_ = llm.generate(["foo", "bar", "foo"])
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cache_output = langchain.llm_cache.lookup("foo", llm_string)
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assert cache_output == [Generation(text="fizz")]
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langchain.llm_cache.clear()
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assert langchain.llm_cache.lookup("bar", llm_string) is None
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