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Fix linting

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This commit is contained in:
yangdx
2025-02-02 04:27:55 +08:00
parent ecf48a5be5
commit 0a693dbfda
2 changed files with 5 additions and 3 deletions
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2
lightrag/lightrag.py
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@@ -916,7 +916,7 @@ class LightRAG:
else self.key_string_value_json_storage_cls(
namespace="llm_response_cache",
global_config=asdict(self),
embedding_func=self.embedding_func,
embedding_func=self.embedding_func,
),
prompt=prompt,
)

6
lightrag/utils.py
View File

@@ -368,7 +368,9 @@ async def get_best_cached_response(
original_prompt=None,
cache_type=None,
) -> Union[str, None]:
logger.debug(f"get_best_cached_response: mode={mode} cache_type={cache_type} use_llm_check={use_llm_check}")
logger.debug(
f"get_best_cached_response: mode={mode} cache_type={cache_type} use_llm_check={use_llm_check}"
)
mode_cache = await hashing_kv.get_by_id(mode)
if not mode_cache:
return None
@@ -511,7 +513,7 @@ async def handle_cache(
if is_embedding_cache_enabled:
# Use embedding cache
current_embedding = await hashing_kv.embedding_func([prompt])
llm_model_func = hashing_kv.global_config.get('llm_model_func')
llm_model_func = hashing_kv.global_config.get("llm_model_func")
quantized, min_val, max_val = quantize_embedding(current_embedding[0])
best_cached_response = await get_best_cached_response(
hashing_kv,