fix：调整目录结构，优化hfc prompt，移除日程，移除动态和llm判断willing模式，

src/chat/knowledge/knowledge_lib.py

@@ -0,0 +1,64 @@
+from .src.lpmmconfig import PG_NAMESPACE, global_config
+from .src.embedding_store import EmbeddingManager
+from .src.llm_client import LLMClient
+from .src.mem_active_manager import MemoryActiveManager
+from .src.qa_manager import QAManager
+from .src.kg_manager import KGManager
+from .src.global_logger import logger
+# try:
+#     import quick_algo
+# except ImportError:
+#     print("quick_algo not found, please install it first")
+
+logger.info("正在初始化Mai-LPMM\n")
+logger.info("创建LLM客户端")
+llm_client_list = dict()
+for key in global_config["llm_providers"]:
+    llm_client_list[key] = LLMClient(
+        global_config["llm_providers"][key]["base_url"],
+        global_config["llm_providers"][key]["api_key"],
+    )
+
+# 初始化Embedding库
+embed_manager = EmbeddingManager(llm_client_list[global_config["embedding"]["provider"]])
+logger.info("正在从文件加载Embedding库")
+try:
+    embed_manager.load_from_file()
+except Exception as e:
+    logger.error("从文件加载Embedding库时发生错误：{}".format(e))
+    logger.error("如果你是第一次导入知识，或者还未导入知识，请忽略此错误")
+logger.info("Embedding库加载完成")
+# 初始化KG
+kg_manager = KGManager()
+logger.info("正在从文件加载KG")
+try:
+    kg_manager.load_from_file()
+except Exception as e:
+    logger.error("从文件加载KG时发生错误：{}".format(e))
+    logger.error("如果你是第一次导入知识，或者还未导入知识，请忽略此错误")
+logger.info("KG加载完成")
+
+logger.info(f"KG节点数量：{len(kg_manager.graph.get_node_list())}")
+logger.info(f"KG边数量：{len(kg_manager.graph.get_edge_list())}")
+
+
+# 数据比对：Embedding库与KG的段落hash集合
+for pg_hash in kg_manager.stored_paragraph_hashes:
+    key = PG_NAMESPACE + "-" + pg_hash
+    if key not in embed_manager.stored_pg_hashes:
+        logger.warning(f"KG中存在Embedding库中不存在的段落：{key}")
+
+# 问答系统（用于知识库）
+qa_manager = QAManager(
+    embed_manager,
+    kg_manager,
+    llm_client_list[global_config["embedding"]["provider"]],
+    llm_client_list[global_config["qa"]["llm"]["provider"]],
+    llm_client_list[global_config["qa"]["llm"]["provider"]],
+)
+
+# 记忆激活（用于记忆库）
+inspire_manager = MemoryActiveManager(
+    embed_manager,
+    llm_client_list[global_config["embedding"]["provider"]],
+)