import asyncio import os from yuxi.knowledge.base import KBNotFoundError, KnowledgeBase from yuxi.knowledge.chunking.ragflow_like.presets import ( deep_merge, ensure_chunk_defaults_in_additional_params, ) from yuxi.knowledge.factory import KnowledgeBaseFactory from yuxi.storage.postgres.models_business import User from yuxi.utils import logger from yuxi.utils.datetime_utils import utc_isoformat class KnowledgeBaseManager: """ 知识库管理器 统一管理多种类型的知识库实例，直接通过 Repository 访问数据库，不维护冗余缓存。 """ def __init__(self, work_dir: str): """ 初始化知识库管理器 Args: work_dir: 工作目录 """ self.work_dir = work_dir os.makedirs(work_dir, exist_ok=True) # 知识库实例缓存 {kb_type: kb_instance} self.kb_instances: dict[str, KnowledgeBase] = {} # 元数据锁 self._metadata_lock = asyncio.Lock() async def initialize(self): """异步初始化""" # 初始化已存在的知识库实例 self._initialize_existing_kbs() logger.info("KnowledgeBaseManager initialized") async def _load_all_metadata(self): """异步加载所有元数据 - 保留兼容性的空方法，现在由 KB 实例自行加载""" pass def _initialize_existing_kbs(self): """初始化已存在的知识库实例""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository async def _async_init(): kb_repo = KnowledgeBaseRepository() rows = await kb_repo.get_all() kb_types_in_use = set() for row in rows: kb_type = row.kb_type or "lightrag" kb_types_in_use.add(kb_type) logger.info(f"[InitializeKB] 发现 {len(kb_types_in_use)} 种知识库类型: {kb_types_in_use}") # 为每种使用中的知识库类型创建实例并加载元数据 for kb_type in kb_types_in_use: try: kb_instance = self._get_or_create_kb_instance(kb_type) # 让 KB 实例自行加载元数据 await kb_instance._load_metadata() logger.info(f"[InitializeKB] {kb_type} 实例已初始化") except Exception as e: logger.error(f"Failed to initialize {kb_type} knowledge base: {e}") import traceback logger.error(traceback.format_exc()) # 在事件循环中运行异步初始化 try: loop = asyncio.get_running_loop() loop.create_task(_async_init()) except RuntimeError: asyncio.run(_async_init()) def _get_or_create_kb_instance(self, kb_type: str) -> KnowledgeBase: """ 获取或创建知识库实例 Args: kb_type: 知识库类型 Returns: 知识库实例 """ if kb_type in self.kb_instances: return self.kb_instances[kb_type] # 创建新的知识库实例 kb_work_dir = os.path.join(self.work_dir, f"{kb_type}_data") kb_instance = KnowledgeBaseFactory.create(kb_type, kb_work_dir) self.kb_instances[kb_type] = kb_instance logger.info(f"Created {kb_type} knowledge base instance") return kb_instance async def move_file(self, db_id: str, file_id: str, new_parent_id: str | None) -> dict: """ 移动文件/文件夹 """ kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.move_file(db_id, file_id, new_parent_id) async def _get_kb_for_database(self, db_id: str) -> KnowledgeBase: """ 根据数据库ID获取对应的知识库实例 Args: db_id: 数据库ID Returns: 知识库实例 Raises: KBNotFoundError: 数据库不存在或知识库类型不支持 """ from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() kb = await kb_repo.get_by_id(db_id) if kb is None: raise KBNotFoundError(f"Database {db_id} not found") kb_type = kb.kb_type or "lightrag" if not KnowledgeBaseFactory.is_type_supported(kb_type): raise KBNotFoundError(f"Unsupported knowledge base type: {kb_type}") return self._get_or_create_kb_instance(kb_type) def _get_kb_for_database_sync(self, db_id: str) -> KnowledgeBase: """同步版本的 _get_kb_for_database，用于兼容同步调用""" try: loop = asyncio.get_running_loop() return loop.run_until_complete(self._get_kb_for_database(db_id)) except RuntimeError: return asyncio.run(self._get_kb_for_database(db_id)) # ============================================================================= # 统一的外部接口 - 与原始 LightRagBasedKB 兼容 # ============================================================================= async def aget_kb(self, db_id: str) -> KnowledgeBase: """异步获取知识库实例 Args: db_id: 数据库ID Returns: 知识库实例 """ return await self._get_kb_for_database(db_id) def get_kb(self, db_id: str) -> KnowledgeBase: """同步获取知识库实例（兼容性方法，用于同步上下文） Args: db_id: 数据库ID Returns: 知识库实例 """ return self._get_kb_for_database_sync(db_id) async def get_databases(self) -> dict: """获取所有数据库信息""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() rows = await kb_repo.get_all() all_databases = [] metadata_reloaded_types: set[str] = set() for row in rows: kb_type = row.kb_type or "lightrag" kb_instance = self._get_or_create_kb_instance(kb_type) db_info = kb_instance.get_database_info(row.db_id, include_files=False) if not db_info and kb_type not in metadata_reloaded_types: try: await kb_instance._load_metadata() metadata_reloaded_types.add(kb_type) except Exception as e: logger.warning(f"Failed to reload metadata for kb_type={kb_type}: {e}") db_info = kb_instance.get_database_info(row.db_id, include_files=False) if not db_info: logger.warning(f"Skip database due to missing metadata: db_id={row.db_id}, kb_type={kb_type}") continue # 补充 share_config 和 additional_params db_info["share_config"] = row.share_config or {"is_shared": True, "accessible_departments": []} db_info["additional_params"] = ensure_chunk_defaults_in_additional_params(row.additional_params) all_databases.append(db_info) return {"databases": all_databases} async def check_accessible(self, user: dict, db_id: str) -> bool: """检查用户是否有权限访问数据库 Args: user: 用户信息字典 db_id: 数据库ID Returns: bool: 是否有权限 """ # 超级管理员有权访问所有 if user.get("role") == "superadmin": return True from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() kb = await kb_repo.get_by_id(db_id) if kb is None: return False share_config = kb.share_config or {} is_shared = share_config.get("is_shared", True) # 如果是全员共享，则有权限 if is_shared: return True # 检查部门权限 user_department_id = user.get("department_id") accessible_departments = share_config.get("accessible_departments", []) if user_department_id is None: return False # 转换为整数进行比较（前端可能传递字符串，后端存储为整数） try: user_department_id = int(user_department_id) accessible_departments = [int(d) for d in accessible_departments] except (ValueError, TypeError): return False return user_department_id in accessible_departments async def get_databases_by_raw_id(self, user_id: int) -> dict: """根据用户ID获取知识库列表（原始ID版本，兼容旧接口）""" from yuxi.repositories.user_repository import UserRepository # 通过数据库获取用户信息 user_repo = UserRepository() user: User | None = await user_repo.get_by_id(id=int(user_id)) if not user: logger.warning(f"User not found: {user_id}") return {"databases": []} return await self.get_databases_by_user(user) async def get_databases_by_user_id(self, user_id: str) -> dict: """根据用户ID获取知识库列表（字符串ID版本）""" from yuxi.repositories.user_repository import UserRepository # 通过数据库获取用户信息 user_repo = UserRepository() user: User | None = await user_repo.get_by_user_id(user_id) if not user: logger.warning(f"User not found: {user_id}") return {"databases": []} return await self.get_databases_by_user(user) async def get_databases_by_user(self, user: User | dict) -> dict: """根据用户权限获取知识库列表""" # 构建用户信息字典（支持 User 对象或 dict） if isinstance(user, dict): user_info = user else: user_info = { "role": user.role, "department_id": user.department_id, } user_role = user_info.get("role") user_dept = user_info.get("department_id") logger.info(f"Getting databases for user with role {user_role} and department {user_dept}") all_databases = (await self.get_databases()).get("databases", []) # 超级管理员可以看到所有知识库 if user_info.get("role") == "superadmin": return {"databases": all_databases} filtered_databases = [] for db in all_databases: db_id = db.get("db_id") if not db_id: continue if await self.check_accessible(user_info, db_id): filtered_databases.append(db) return {"databases": filtered_databases} async def database_name_exists(self, database_name: str) -> bool: """检查知识库名称是否已存在""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository from yuxi.storage.postgres.manager import pg_manager # 确保 pg_manager 已初始化 if not pg_manager._initialized: pg_manager.initialize() kb_repo = KnowledgeBaseRepository() rows = await kb_repo.get_all() for row in rows: if (row.name or "").lower() == database_name.lower(): return True return False async def create_folder(self, db_id: str, folder_name: str, parent_id: str = None) -> dict: """Create a folder in the database.""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.create_folder(db_id, folder_name, parent_id) async def create_database( self, database_name: str, description: str, kb_type: str = "lightrag", embed_info: dict | None = None, share_config: dict | None = None, **kwargs, ) -> dict: """ 创建数据库 Args: database_name: 数据库名称 description: 数据库描述 kb_type: 知识库类型，默认为lightrag embed_info: 嵌入模型信息 share_config: 共享配置 **kwargs: 其他配置参数，包括chunk_size和chunk_overlap Returns: 数据库信息字典 """ if not KnowledgeBaseFactory.is_type_supported(kb_type): available_types = list(KnowledgeBaseFactory.get_available_types().keys()) raise ValueError(f"Unsupported knowledge base type: {kb_type}. Available types: {available_types}") # 检查名称是否已存在 if await self.database_name_exists(database_name): raise ValueError(f"知识库名称 '{database_name}' 已存在，请使用其他名称") # 默认共享配置 if share_config is None: share_config = {"is_shared": True, "accessible_departments": []} kwargs = ensure_chunk_defaults_in_additional_params(kwargs) kb_instance = self._get_or_create_kb_instance(kb_type) db_info = await kb_instance.create_database(database_name, description, embed_info, **kwargs) db_id = db_info["db_id"] from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() updated = await kb_repo.update(db_id, {"share_config": share_config}) if updated is None: await kb_repo.create( { "db_id": db_id, "name": database_name, "description": description, "kb_type": kb_type, "embed_info": embed_info, "llm_info": db_info.get("llm_info"), "additional_params": kwargs.copy(), "share_config": share_config, } ) logger.info(f"Created {kb_type} database: {database_name} ({db_id}) with {kwargs}") db_info["share_config"] = share_config return db_info async def delete_database(self, db_id: str) -> dict: """删除数据库""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository try: kb_instance = await self._get_kb_for_database(db_id) result = await kb_instance.delete_database(db_id) # 删除数据库记录 kb_repo = KnowledgeBaseRepository() await kb_repo.delete(db_id) return result except KBNotFoundError as e: logger.warning(f"Database {db_id} not found during deletion: {e}") return {"message": "删除成功"} async def add_file_record( self, db_id: str, item: str, params: dict | None = None, operator_id: str | None = None ) -> dict: """Add file record to metadata""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.add_file_record(db_id, item, params, operator_id) async def parse_file(self, db_id: str, file_id: str, operator_id: str | None = None) -> dict: """Parse file to Markdown""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.parse_file(db_id, file_id, operator_id) async def index_file( self, db_id: str, file_id: str, operator_id: str | None = None, params: dict | None = None ) -> dict: """Index parsed file""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.index_file(db_id, file_id, operator_id, params=params) async def update_file_params(self, db_id: str, file_id: str, params: dict, operator_id: str | None = None) -> None: """Update file processing params""" kb_instance = await self._get_kb_for_database(db_id) await kb_instance.update_file_params(db_id, file_id, params, operator_id) async def aquery(self, query_text: str, db_id: str, **kwargs) -> str: """异步查询知识库""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.aquery(query_text, db_id, **kwargs) async def export_data(self, db_id: str, format: str = "zip", **kwargs) -> str: """导出知识库数据""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.export_data(db_id, format=format, **kwargs) def query(self, query_text: str, db_id: str, **kwargs) -> str: """同步查询知识库（兼容性方法）""" kb_instance = self._get_kb_for_database_sync(db_id) return kb_instance.query(query_text, db_id, **kwargs) async def get_database_info(self, db_id: str) -> dict | None: """获取数据库详细信息""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() kb = await kb_repo.get_by_id(db_id) if kb is None: return None try: kb_instance = await self._get_kb_for_database(db_id) db_info = kb_instance.get_database_info(db_id) except KBNotFoundError: db_info = { "db_id": db_id, "name": kb.name, "description": kb.description, "kb_type": kb.kb_type, "files": {}, "row_count": 0, "status": "已连接", } # 添加数据库中的附加字段 db_info["additional_params"] = ensure_chunk_defaults_in_additional_params(kb.additional_params) db_info["share_config"] = kb.share_config or {"is_shared": True, "accessible_departments": []} db_info["mindmap"] = kb.mindmap db_info["sample_questions"] = kb.sample_questions or [] db_info["query_params"] = kb.query_params return db_info async def delete_folder(self, db_id: str, folder_id: str) -> None: """递归删除文件夹""" kb_instance = await self._get_kb_for_database(db_id) await kb_instance.delete_folder(db_id, folder_id) async def delete_file(self, db_id: str, file_id: str) -> None: """删除文件""" kb_instance = await self._get_kb_for_database(db_id) await kb_instance.delete_file(db_id, file_id) async def update_content(self, db_id: str, file_ids: list[str], params: dict | None = None) -> list[dict]: """更新内容（重新分块）""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.update_content(db_id, file_ids, params or {}) async def get_file_basic_info(self, db_id: str, file_id: str) -> dict: """获取文件基本信息（仅元数据）""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.get_file_basic_info(db_id, file_id) async def get_file_content(self, db_id: str, file_id: str) -> dict: """获取文件内容信息（chunks和lines）""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.get_file_content(db_id, file_id) async def get_file_info(self, db_id: str, file_id: str) -> dict: """获取文件完整信息（基本信息+内容信息）- 保持向后兼容""" kb_instance = await self._get_kb_for_database(db_id) return await kb_instance.get_file_info(db_id, file_id) def get_db_upload_path(self, db_id: str | None = None) -> str: """获取数据库上传路径""" if db_id: try: kb_instance = self._get_kb_for_database_sync(db_id) return kb_instance.get_db_upload_path(db_id) except KBNotFoundError: # 如果数据库不存在，创建通用上传路径 pass # 通用上传路径 general_uploads = os.path.join(self.work_dir, "uploads") os.makedirs(general_uploads, exist_ok=True) return general_uploads async def file_name_existed_in_db(self, db_id: str | None, file_name: str | None) -> bool: """检查指定数据库中是否存在同名的文件""" if not db_id or not file_name: return False try: kb_instance = await self._get_kb_for_database(db_id) except KBNotFoundError: return False for file_info in kb_instance.files_meta.values(): if file_info.get("database_id") != db_id: continue if file_info.get("status") == "failed": continue if file_info.get("file_name") == file_name: return True return False async def get_same_name_files(self, db_id: str, filename: str) -> list[dict]: """获取同一知识库中同名文件列表 基于原始文件名直接比较 返回基础信息：文件名、大小、上传时间 Args: db_id: 数据库ID filename: 要检测的文件名（原始文件名） Returns: 同名文件列表，每项包含： - filename: 文件名 - size: 文件大小 - created_at: 上传时间 - file_id: 文件ID（用于下载） """ if not db_id or not filename: return [] try: kb_instance = await self._get_kb_for_database(db_id) except KBNotFoundError: return [] same_name_files = [] for file_id, file_info in kb_instance.files_meta.items(): if file_info.get("database_id") != db_id: continue if file_info.get("status") == "failed": continue # 直接比较文件名（现在就是原始文件名） current_filename = file_info.get("filename", "") if current_filename.lower() == filename.lower(): same_name_files.append( { "file_id": file_id, "filename": current_filename, "size": file_info.get("size", 0), "created_at": file_info.get("created_at", ""), "content_hash": file_info.get("content_hash", ""), } ) # 按上传时间降序排序 same_name_files.sort(key=lambda x: x.get("created_at", ""), reverse=True) return same_name_files async def file_existed_in_db(self, db_id: str | None, content_hash: str | None) -> bool: """检查指定数据库中是否存在相同内容哈希的文件""" if not db_id or not content_hash: return False try: kb_instance = await self._get_kb_for_database(db_id) except KBNotFoundError: return False for file_info in kb_instance.files_meta.values(): if file_info.get("database_id") != db_id: continue if file_info.get("status") == "failed": continue if file_info.get("content_hash") == content_hash: return True return False async def update_database( self, db_id: str, name: str, description: str, llm_info: dict = None, additional_params: dict | None = None, share_config: dict | None = None, ) -> dict: """更新数据库""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() kb = await kb_repo.get_by_id(db_id) if kb is None: raise ValueError(f"数据库 {db_id} 不存在") kb_instance = await self._get_kb_for_database(db_id) kb_instance.update_database(db_id, name, description, llm_info) # 准备更新数据 update_data: dict = { "name": name, "description": description, } if llm_info is not None: update_data["llm_info"] = llm_info if additional_params is not None: merged_additional_params = ensure_chunk_defaults_in_additional_params( deep_merge(kb.additional_params or {}, additional_params) ) update_data["additional_params"] = merged_additional_params if db_id in kb_instance.databases_meta: kb_instance.databases_meta[db_id]["metadata"] = merged_additional_params if share_config is not None: update_data["share_config"] = share_config # 保存到数据库 await kb_repo.update(db_id, update_data) return await self.get_database_info(db_id) def get_retrievers(self) -> dict[str, dict]: """获取所有检索器""" all_retrievers = {} # 收集所有知识库的检索器 for kb_instance in self.kb_instances.values(): retrievers = kb_instance.get_retrievers() all_retrievers.update(retrievers) return all_retrievers # ============================================================================= # 管理器特有的方法 # ============================================================================= def get_supported_kb_types(self) -> dict[str, dict]: """获取支持的知识库类型""" return KnowledgeBaseFactory.get_available_types() def get_kb_instance_info(self) -> dict[str, dict]: """获取知识库实例信息""" info = {} for kb_type, kb_instance in self.kb_instances.items(): info[kb_type] = { "work_dir": kb_instance.work_dir, "database_count": len(kb_instance.databases_meta), "file_count": len(kb_instance.files_meta), } return info async def get_statistics(self) -> dict: """获取统计信息""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository from yuxi.repositories.knowledge_file_repository import KnowledgeFileRepository kb_repo = KnowledgeBaseRepository() rows = await kb_repo.get_all() stats = {"total_databases": len(rows), "kb_types": {}, "total_files": 0} # 按知识库类型统计 for row in rows: kb_type = row.kb_type or "lightrag" if kb_type not in stats["kb_types"]: stats["kb_types"][kb_type] = 0 stats["kb_types"][kb_type] += 1 # 统计文件总数 file_repo = KnowledgeFileRepository() files = await file_repo.get_all() stats["total_files"] = len(files) return stats # ============================================================================= # 兼容性方法 - 为了支持现有的 graph_router.py # ============================================================================= async def _get_lightrag_instance(self, db_id: str): """ 获取 LightRAG 实例（兼容性方法） Args: db_id: 数据库ID Returns: LightRAG 实例，如果数据库不是 lightrag 类型则返回 None Raises: ValueError: 如果数据库不存在或不是 lightrag 类型 """ from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() kb = await kb_repo.get_by_id(db_id) if kb is None: logger.error(f"Database {db_id} not found in global metadata") return None kb_type = kb.kb_type or "lightrag" if kb_type != "lightrag": logger.error(f"Database {db_id} is not a LightRAG type (actual type: {kb_type})") raise ValueError(f"Database {db_id} is not a LightRAG knowledge base") kb_instance = await self._get_kb_for_database(db_id) if not hasattr(kb_instance, "_get_lightrag_instance"): logger.error(f"Knowledge base instance for {db_id} is not LightRagKB") return None return await kb_instance._get_lightrag_instance(db_id) async def is_lightrag_database(self, db_id: str) -> bool: """ 检查数据库是否是 LightRAG 类型 Args: db_id: 数据库ID Returns: 是否是 LightRAG 类型的数据库 """ from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository kb_repo = KnowledgeBaseRepository() kb = await kb_repo.get_by_id(db_id) if kb is None: return False return (kb.kb_type or "lightrag") == "lightrag" async def get_lightrag_databases(self) -> list[dict]: """ 获取所有 LightRAG 类型的数据库 Returns: LightRAG 数据库列表 """ all_databases = (await self.get_databases())["databases"] return [db for db in all_databases if db.get("kb_type", "lightrag") == "lightrag"] # ============================================================================= # 数据一致性检测方法 # ============================================================================= async def detect_data_inconsistencies(self) -> dict: """ 检测向量数据库中存在但在 metadata 中缺失的数据 Returns: 包含不一致信息的字典，按知识库类型分组 """ inconsistencies = { "milvus": {"missing_collections": [], "missing_files": []}, "total_missing_collections": 0, "total_missing_files": 0, } logger.info("开始检测向量数据库与元数据的一致性...") # 检测 Milvus 数据不一致 if "milvus" in self.kb_instances: try: milvus_inconsistencies = await self._detect_milvus_inconsistencies() inconsistencies["milvus"] = milvus_inconsistencies inconsistencies["total_missing_collections"] += len(milvus_inconsistencies["missing_collections"]) inconsistencies["total_missing_files"] += len(milvus_inconsistencies["missing_files"]) except Exception as e: logger.error(f"检测 Milvus 数据不一致时出错: {e}") # 输出检测结果到日志 self._log_inconsistencies(inconsistencies) return inconsistencies async def _detect_milvus_inconsistencies(self) -> dict: """检测 Milvus 中的数据不一致""" from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository inconsistencies = {"missing_collections": [], "missing_files": []} milvus_kb = self.kb_instances["milvus"] try: from pymilvus import utility # 获取 Milvus 中所有实际的集合 actual_collection_names = set(utility.list_collections(using=milvus_kb.connection_alias)) # 从数据库获取所有已知的数据库ID kb_repo = KnowledgeBaseRepository() rows = await kb_repo.get_all() all_known_db_ids = {row.db_id for row in rows} lightrag_suffixes = ["_chunks", "_relationships", "_entities"] # 找出存在于 Milvus 但不在 metadata 中的集合 # missing_collections = actual_collection_names - metadata_collection_names for collection_name in actual_collection_names: # 跳过一些系统集合 if not collection_name.startswith("kb_"): continue # 检查集合是否属于已知数据库 is_known = False # 1. 精确匹配 (Milvus 类型的知识库) if collection_name in all_known_db_ids: is_known = True # 2. 后缀匹配 (LightRAG 类型的知识库) else: for suffix in lightrag_suffixes: if collection_name.endswith(suffix): potential_db_id = collection_name[: -len(suffix)] if potential_db_id in all_known_db_ids: is_known = True break # 如果是已知集合，跳过 if is_known: continue # 如果是未知集合，记录下来 collection_info = {"collection_name": collection_name, "detected_at": utc_isoformat()} # 尝试获取集合的基本信息 try: from pymilvus import Collection collection = Collection(name=collection_name, using=milvus_kb.connection_alias) collection_info["count"] = collection.num_entities collection_info["description"] = collection.description except Exception as e: logger.warning(f"无法获取集合 {collection_name} 的详细信息: {e}") collection_info["count"] = "unknown" inconsistencies["missing_collections"].append(collection_info) logger.warning( f"发现 Milvus 中存在但 metadata 中缺失的集合: {collection_name} " f"(实体数: {collection_info['count']})" ) # 获取 metadata 中记录的数据库ID（仅 Milvus 类型，用于检查文件一致性） metadata_collection_names = set(milvus_kb.databases_meta.keys()) # 检查文件级别的不一致（针对已知的数据库） for db_id in metadata_collection_names: try: if utility.has_collection(db_id, using=milvus_kb.connection_alias): from pymilvus import Collection collection = Collection(name=db_id, using=milvus_kb.connection_alias) actual_count = collection.num_entities # 获取 metadata 中记录的文件数量 metadata_files_count = sum( 1 for file_info in milvus_kb.files_meta.values() if file_info.get("database_id") == db_id ) # 如果向量数据库中有数据但 metadata 中没有文件记录，可能存在文件缺失 if actual_count > 0 and metadata_files_count == 0: inconsistencies["missing_files"].append( { "database_id": db_id, "vector_count": actual_count, "metadata_files_count": metadata_files_count, "detected_at": utc_isoformat(), } ) logger.warning( f"发现数据库 {db_id} 在 Milvus 中有 {actual_count} 条向量数据，" "但 metadata 中没有文件记录" ) except Exception as e: logger.debug(f"检查数据库 {db_id} 的文件一致性时出错: {e}") except Exception as e: logger.error(f"检测 Milvus 数据不一致时出错: {e}") return inconsistencies def _log_inconsistencies(self, inconsistencies: dict) -> None: """将不一致检测结果输出到日志""" total_missing_collections = inconsistencies["total_missing_collections"] total_missing_files = inconsistencies["total_missing_files"] if total_missing_collections == 0 and total_missing_files == 0: logger.info("数据一致性检测完成，未发现不一致情况") return logger.warning("=" * 80) logger.warning("数据一致性检测完成，发现以下不一致情况：") logger.warning("=" * 80) # Milvus 不一致情况 milvus_missing = inconsistencies["milvus"]["missing_collections"] milvus_files_missing = inconsistencies["milvus"]["missing_files"] if milvus_missing or milvus_files_missing: logger.warning("Milvus 不一致情况：") logger.warning(f" 缺失集合数量: {len(milvus_missing)}") for collection_info in milvus_missing: logger.warning(f" - 集合: {collection_info['collection_name']}, 实体数: {collection_info['count']}") logger.warning(f" 缺失文件记录数量: {len(milvus_files_missing)}") for file_info in milvus_files_missing: logger.warning( f" - 数据库: {file_info['database_id']}, 向量数: {file_info['vector_count']}, " f"元数据文件数: {file_info['metadata_files_count']}" ) logger.warning("=" * 80) logger.warning(f"总计：缺失集合 {total_missing_collections} 个，缺失文件记录 {total_missing_files} 个") logger.warning("建议：检查这些不一致的数据，必要时进行数据清理或元数据修复") logger.warning("=" * 80) async def manual_consistency_check(self) -> dict: """ 手动触发数据一致性检测 Returns: 检测结果字典 """ logger.info("手动触发数据一致性检测...") return await self.detect_data_inconsistencies()