初始化

src/chat/knowledge/mem_active_manager.py

@@ -1,33 +0,0 @@
-raise DeprecationWarning("MemoryActiveManager is not used yet, please do not import it")
-from .lpmmconfig import global_config
-from .embedding_store import EmbeddingManager
-from .llm_client import LLMClient
-from .utils.dyn_topk import dyn_select_top_k
-
-
-class MemoryActiveManager:
-    def __init__(
-        self,
-        embed_manager: EmbeddingManager,
-        llm_client_embedding: LLMClient,
-    ):
-        self.embed_manager = embed_manager
-        self.embedding_client = llm_client_embedding
-
-    def get_activation(self, question: str) -> float:
-        """获取记忆激活度"""
-        # 生成问题的Embedding
-        question_embedding = self.embedding_client.send_embedding_request("text-embedding", question)
-        # 查询关系库中的相似度
-        rel_search_res = self.embed_manager.relation_embedding_store.search_top_k(question_embedding, 10)
-
-        # 动态过滤阈值
-        rel_scores = dyn_select_top_k(rel_search_res, 0.5, 1.0)
-        if rel_scores[0][1] < global_config["qa"]["params"]["relation_threshold"]:
-            # 未找到相关关系
-            return 0.0
-
-        # 计算激活度
-        activation = sum([item[2] for item in rel_scores]) * 10
-
-        return activation