Merge branch 'dev' of https://github.com/MaiM-with-u/MaiBot into dev

scripts/import_openie.py

@@ -10,13 +10,13 @@ from time import sleep
 
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 
-from src.chat.knowledge.src.lpmmconfig import PG_NAMESPACE, global_config
-from src.chat.knowledge.src.embedding_store import EmbeddingManager
-from src.chat.knowledge.src.llm_client import LLMClient
-from src.chat.knowledge.src.open_ie import OpenIE
-from src.chat.knowledge.src.kg_manager import KGManager
+from src.chat.knowledge.lpmmconfig import PG_NAMESPACE, global_config
+from src.chat.knowledge.embedding_store import EmbeddingManager
+from src.chat.knowledge.llm_client import LLMClient
+from src.chat.knowledge.open_ie import OpenIE
+from src.chat.knowledge.kg_manager import KGManager
 from src.common.logger import get_module_logger
-from src.chat.knowledge.src.utils.hash import get_sha256
+from src.chat.knowledge.utils.hash import get_sha256
 
 
 # 添加项目根目录到 sys.path

scripts/info_extraction.py

@@ -13,11 +13,11 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 from rich.progress import Progress  # 替换为 rich 进度条
 
 from src.common.logger import get_module_logger
-from src.chat.knowledge.src.lpmmconfig import global_config
-from src.chat.knowledge.src.ie_process import info_extract_from_str
-from src.chat.knowledge.src.llm_client import LLMClient
-from src.chat.knowledge.src.open_ie import OpenIE
-from src.chat.knowledge.src.raw_processing import load_raw_data
+from src.chat.knowledge.lpmmconfig import global_config
+from src.chat.knowledge.ie_process import info_extract_from_str
+from src.chat.knowledge.llm_client import LLMClient
+from src.chat.knowledge.open_ie import OpenIE
+from src.chat.knowledge.raw_processing import load_raw_data
 from rich.progress import (
     BarColumn,
     TimeElapsedColumn,

scripts/raw_data_preprocessor.py

@@ -6,7 +6,7 @@ import datetime  # 新增导入
 
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 from src.common.logger_manager import get_logger
-from src.chat.knowledge.src.lpmmconfig import global_config
+from src.chat.knowledge.lpmmconfig import global_config
 
 logger = get_logger("lpmm")
 ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))

src/chat/knowledge/embedding_store.py

@@ -27,7 +27,7 @@ from rich.progress import (
 )
 
 install(extra_lines=3)
-ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", ".."))
+ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
 EMBEDDING_DATA_DIR = (
     os.path.join(ROOT_PATH, "data", "embedding")
     if global_config["persistence"]["embedding_data_dir"] is None

src/chat/knowledge/ie_process.py

@@ -6,7 +6,7 @@ from .global_logger import logger
 from . import prompt_template
 from .lpmmconfig import global_config, INVALID_ENTITY
 from .llm_client import LLMClient
-from .utils.json_fix import new_fix_broken_generated_json
+from src.chat.knowledge.utils.json_fix import new_fix_broken_generated_json
 
 
 def _entity_extract(llm_client: LLMClient, paragraph: str) -> List[str]:

src/chat/knowledge/kg_manager.py

@@ -31,7 +31,7 @@ from .lpmmconfig import (
 
 from .global_logger import logger
 
-ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", ".."))
+ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
 KG_DIR = (
     os.path.join(ROOT_PATH, "data/rag")
     if global_config["persistence"]["rag_data_dir"] is None

src/chat/knowledge/knowledge_lib.py

@@ -1,10 +1,10 @@
-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
+from src.chat.knowledge.lpmmconfig import PG_NAMESPACE, global_config
+from src.chat.knowledge.embedding_store import EmbeddingManager
+from src.chat.knowledge.llm_client import LLMClient
+from src.chat.knowledge.mem_active_manager import MemoryActiveManager
+from src.chat.knowledge.qa_manager import QAManager
+from src.chat.knowledge.kg_manager import KGManager
+from src.chat.knowledge.global_logger import logger
 # try:
 #     import quick_algo
 # except ImportError:

src/chat/knowledge/lpmmconfig.py

@@ -45,7 +45,7 @@ def _load_config(config, config_file_path):
     if "llm_providers" in file_config:
         for provider in file_config["llm_providers"]:
             if provider["name"] not in config["llm_providers"]:
-                config["llm_providers"][provider["name"]] = dict()
+                config["llm_providers"][provider["name"]] = {}
             config["llm_providers"][provider["name"]]["base_url"] = provider["base_url"]
             config["llm_providers"][provider["name"]]["api_key"] = provider["api_key"]
 
@@ -135,6 +135,6 @@ global_config = dict(
 # _load_config(global_config, parser.parse_args().config_path)
 # file_path = os.path.abspath(__file__)
 # dir_path = os.path.dirname(file_path)
-ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", ".."))
+ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
 config_path = os.path.join(ROOT_PATH, "config", "lpmm_config.toml")
 _load_config(global_config, config_path)

src/chat/knowledge/raw_processing.py

@@ -3,7 +3,7 @@ import os
 
 from .global_logger import logger
 from .lpmmconfig import global_config
-from .utils.hash import get_sha256
+from src.chat.knowledge.utils import get_sha256
 
 
 def load_raw_data(path: str = None) -> tuple[list[str], list[str]]:

src/config/config.py

@@ -32,6 +32,7 @@ from src.config.official_configs import (
     FocusChatProcessorConfig,
     MessageReceiveConfig,
     MaimMessageConfig,
+    LPMMKnowledgeConfig,
     RelationshipConfig,
 )
 
@@ -161,6 +162,7 @@ class Config(ConfigBase):
     experimental: ExperimentalConfig
     model: ModelConfig
     maim_message: MaimMessageConfig
+    lpmm_knowledge: LPMMKnowledgeConfig
 
 
 def load_config(config_path: str) -> Config:

src/config/official_configs.py

@@ -414,6 +414,44 @@ class MaimMessageConfig(ConfigBase):
     """认证令牌，用于API验证，为空则不启用验证"""
 
 
+@dataclass
+class LPMMKnowledgeConfig(ConfigBase):
+    """LPMM知识库配置类"""
+
+    enable: bool = True
+    """是否启用LPMM知识库"""
+
+    rag_synonym_search_top_k: int = 10
+    """RAG同义词搜索的Top K数量"""
+
+    rag_synonym_threshold: float = 0.8
+    """RAG同义词搜索的相似度阈值"""
+
+    info_extraction_workers: int = 3
+    """信息提取工作线程数"""
+
+    qa_relation_search_top_k: int = 10
+    """QA关系搜索的Top K数量"""
+
+    qa_relation_threshold: float = 0.75
+    """QA关系搜索的相似度阈值"""
+
+    qa_paragraph_search_top_k: int = 1000
+    """QA段落搜索的Top K数量"""
+
+    qa_paragraph_node_weight: float = 0.05
+    """QA段落节点权重"""
+
+    qa_ent_filter_top_k: int = 10
+    """QA实体过滤的Top K数量"""
+
+    qa_ppr_damping: float = 0.8
+    """QA PageRank阻尼系数"""
+
+    qa_res_top_k: int = 10
+    """QA最终结果的Top K数量"""
+    
+
 @dataclass
 class ModelConfig(ConfigBase):
     """模型配置类"""

template/bot_config_template.toml

@@ -1,5 +1,5 @@
 [inner]
-version = "2.14.0"
+version = "2.15.0"
 
 #----以下是给开发人员阅读的，如果你只是部署了麦麦，不需要阅读----
 #如果你想要修改配置文件，请在修改后将version的值进行变更
@@ -137,6 +137,18 @@ mood_update_interval = 1.0 # 情绪更新间隔 单位秒
 mood_decay_rate = 0.95 # 情绪衰减率
 mood_intensity_factor = 1.0 # 情绪强度因子
 
+[lpmm_knowledge] # lpmm知识库配置
+enable = true # 是否启用lpmm知识库
+rag_synonym_search_top_k = 10 # 同义词搜索TopK
+rag_synonym_threshold = 0.8 # 同义词阈值（相似度高于此阈值的词语会被认为是同义词）
+info_extraction_workers = 3 # 实体提取同时执行线程数，非Pro模型不要设置超过5
+qa_relation_search_top_k = 10 # 关系搜索TopK
+qa_relation_threshold = 0.5 # 关系阈值（相似度高于此阈值的关系会被认为是相关的关系）
+qa_paragraph_search_top_k = 1000 # 段落搜索TopK（不能过小，可能影响搜索结果）
+qa_paragraph_node_weight = 0.05 # 段落节点权重（在图搜索&PPR计算中的权重，当搜索仅使用DPR时，此参数不起作用）
+qa_ent_filter_top_k = 10 # 实体过滤TopK
+qa_ppr_damping = 0.8 # PPR阻尼系数
+qa_res_top_k = 3 # 最终提供的文段TopK
 
 # keyword_rules 用于设置关键词触发的额外回复知识
 # 添加新规则方法：在 keyword_rules 数组中增加一项，格式如下：
@@ -273,7 +285,30 @@ temp = 0.7
 enable_thinking = false # 是否启用思考（qwen3 only）
 
 
+#------------LPMM知识库模型------------
 
+[model.lpmm_entity_extract] # 实体提取模型
+name = "Pro/deepseek-ai/DeepSeek-V3"
+provider = "SILICONFLOW"
+pri_in = 2
+pri_out = 8
+temp = 0.2
+
+
+[model.lpmm_rdf_build] # RDF构建模型
+name = "Pro/deepseek-ai/DeepSeek-V3"
+provider = "SILICONFLOW"
+pri_in = 2
+pri_out = 8
+temp = 0.2
+
+
+[model.lpmm_qa] # 问答模型
+name = "Pro/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"
+provider = "SILICONFLOW"
+pri_in = 4.0
+pri_out = 16.0
+temp = 0.7
 
 
 [maim_message]
@@ -296,3 +331,4 @@ enable_friend_chat = false # 是否启用好友聊天
 
 
 
+