ForcePilot/backend/package/yuxi/knowledge/manager.py

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import asyncio
import os
from yuxi.knowledge.base import KBNotFoundError, KnowledgeBase
from yuxi.knowledge.chunking.ragflow_like.presets import deep_merge
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
DEFAULT_SHARE_CONFIG = {"access_level": "global", "department_ids": [], "user_uids": []}
ACCESS_LEVELS = {"global", "department", "user"}
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")
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 "milvus"
if KnowledgeBaseFactory.is_type_supported(kb_type):
kb_types_in_use.add(kb_type)
else:
logger.warning(f"Skip unsupported knowledge base type during initialization: {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:
if not KnowledgeBaseFactory.is_type_supported(kb_type):
logger.warning(f"[InitializeKB] Skip initialization for unsupported knowledge base type: {kb_type}")
continue
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, kb_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(kb_id)
return await kb_instance.move_file(kb_id, file_id, new_parent_id)
async def _get_kb_for_database(self, kb_id: str) -> KnowledgeBase:
"""
根据数据库ID获取对应的知识库实例
Args:
kb_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_kb_id(kb_id)
if kb is None:
raise KBNotFoundError(f"Database {kb_id} not found")
kb_type = kb.kb_type or "milvus"
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)
# =============================================================================
# 统一的外部接口
# =============================================================================
async def aget_kb(self, kb_id: str) -> KnowledgeBase:
"""异步获取知识库实例
Args:
kb_id: 数据库ID
Returns:
知识库实例
"""
return await self._get_kb_for_database(kb_id)
def _normalize_share_config(
self,
share_config: dict | None,
*,
user_uid: str | None = None,
department_id: int | str | None = None,
) -> dict:
config = share_config or {}
access_level = config.get("access_level") or "global"
if access_level not in ACCESS_LEVELS:
raise ValueError("无效的知识库权限等级")
if access_level == "global":
return DEFAULT_SHARE_CONFIG.copy()
if access_level == "department":
department_ids = self._normalize_department_ids(config.get("department_ids"))
if department_id is not None:
department_ids.append(int(department_id))
department_ids = sorted(set(department_ids))
if not department_ids:
raise ValueError("部门共享至少需要选择一个部门")
return {"access_level": "department", "department_ids": department_ids, "user_uids": []}
user_uids = self._normalize_user_uids(config.get("user_uids"))
if user_uid:
user_uids.append(str(user_uid))
user_uids = sorted(set(user_uids))
if not user_uids:
raise ValueError("指定人可访问至少需要选择一个用户")
return {"access_level": "user", "department_ids": [], "user_uids": user_uids}
def _normalize_department_ids(self, department_ids: list | None) -> list[int]:
normalized = []
for department_id in department_ids or []:
normalized.append(int(department_id))
return normalized
def _normalize_user_uids(self, user_uids: list | None) -> list[str]:
return [uid for uid in (str(uid).strip() for uid in user_uids or []) if uid]
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 "milvus"
if not KnowledgeBaseFactory.is_type_supported(kb_type):
logger.warning(f"Skip unsupported database: kb_id={row.kb_id}, kb_type={kb_type}")
continue
kb_instance = self._get_or_create_kb_instance(kb_type)
db_info = kb_instance.get_database_info(row.kb_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.kb_id, include_files=False)
if not db_info:
logger.warning(f"Skip database due to missing metadata: kb_id={row.kb_id}, kb_type={kb_type}")
continue
# 补充 share_config 和 additional_params
db_info["share_config"] = row.share_config or DEFAULT_SHARE_CONFIG.copy()
db_info["additional_params"] = kb_instance.normalize_additional_params(row.additional_params)
db_info["created_by"] = row.created_by
all_databases.append(db_info)
return {"databases": all_databases}
@staticmethod
def _database_info_accessible(user: dict, db_info: dict) -> bool:
if user.get("role") == "superadmin":
return True
user_uid = str(user.get("uid") or "")
if user_uid and db_info.get("created_by") == user_uid:
return True
share_config = db_info.get("share_config") or DEFAULT_SHARE_CONFIG.copy()
access_level = share_config.get("access_level")
if access_level == "global":
return True
if access_level == "department":
user_department_id = user.get("department_id")
if user_department_id is None:
return False
try:
department_ids = [int(dept_id) for dept_id in share_config.get("department_ids") or []]
return int(user_department_id) in department_ids
except (ValueError, TypeError):
return False
if access_level == "user":
return bool(user_uid and user_uid in (share_config.get("user_uids") or []))
return False
async def check_accessible(self, user: dict, kb_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
kb_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_kb_id(kb_id)
if kb is None:
return False
return self._database_info_accessible(
user,
{
"created_by": kb.created_by,
"share_config": kb.share_config,
},
)
async def get_databases_by_uid(self, uid: str) -> dict:
"""根据 uid 获取知识库列表"""
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_uid(uid)
if not user:
logger.warning(f"User not found: {uid}")
return {"databases": []}
return await self.get_databases_by_user(user)
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async def get_databases_by_user(self, user: User | dict) -> dict:
"""根据用户权限获取知识库列表"""
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# 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 = {
"uid": user.uid,
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"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 = [
database for database in all_databases if self._database_info_accessible(user_info, database)
]
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, kb_id: str, folder_name: str, parent_id: str = None) -> dict:
"""Create a folder in the database."""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.create_folder(kb_id, folder_name, parent_id)
async def create_database(
self,
database_name: str,
description: str,
kb_type: str = "milvus",
embedding_model_spec: str | None = None,
llm_model_spec: str | None = None,
share_config: dict | None = None,
created_by: str | None = None,
created_by_department_id: int | str | 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 milvus
embedding_model_spec: 嵌入模型 spec
llm_model_spec: LLM 模型 spec
share_config: 共享配置
created_by: 创建者 uid
created_by_department_id: 创建者部门 ID
**kwargs: 其他配置参数
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")
share_config = self._normalize_share_config(
share_config,
user_uid=created_by,
department_id=created_by_department_id,
)
kb_instance = self._get_or_create_kb_instance(kb_type)
kwargs = kb_instance.normalize_additional_params(kwargs)
db_info = await kb_instance.create_database(
database_name,
description,
embedding_model_spec=embedding_model_spec,
llm_model_spec=llm_model_spec,
**kwargs,
)
kb_id = db_info["kb_id"]
from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository
kb_repo = KnowledgeBaseRepository()
updated = await kb_repo.update(kb_id, {"share_config": share_config, "created_by": created_by})
if updated is None:
await kb_repo.create(
{
"kb_id": kb_id,
"name": database_name,
"description": description,
"kb_type": kb_type,
"embedding_model_spec": embedding_model_spec,
"llm_model_spec": db_info.get("llm_model_spec"),
"additional_params": kwargs.copy(),
"share_config": share_config,
"created_by": created_by,
}
)
logger.info(f"Created {kb_type} database: {database_name} ({kb_id}) with {kwargs}")
db_info["share_config"] = share_config
return db_info
async def delete_database(self, kb_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(kb_id)
result = await kb_instance.delete_database(kb_id)
# 删除数据库记录
kb_repo = KnowledgeBaseRepository()
await kb_repo.delete(kb_id)
return result
except KBNotFoundError as e:
logger.warning(f"Database {kb_id} not found during deletion: {e}")
return {"message": "删除成功"}
async def add_file_record(
self, kb_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(kb_id)
return await kb_instance.add_file_record(kb_id, item, params, operator_id)
async def parse_file(self, kb_id: str, file_id: str, operator_id: str | None = None) -> dict:
"""Parse file to Markdown"""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.parse_file(kb_id, file_id, operator_id)
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async def index_file(
self, kb_id: str, file_id: str, operator_id: str | None = None, params: dict | None = None
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) -> dict:
"""Index parsed file"""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.index_file(kb_id, file_id, operator_id, params=params)
async def update_file_params(self, kb_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(kb_id)
await kb_instance.update_file_params(kb_id, file_id, params, operator_id)
async def aquery(self, query_text: str, kb_id: str, **kwargs) -> str:
"""异步查询知识库"""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.aquery(query_text, kb_id, **kwargs)
async def export_data(self, kb_id: str, format: str = "zip", **kwargs) -> str:
"""导出知识库数据"""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.export_data(kb_id, format=format, **kwargs)
async def get_database_info(self, kb_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_kb_id(kb_id)
if kb is None:
return None
try:
kb_instance = await self._get_kb_for_database(kb_id)
db_info = kb_instance.get_database_info(kb_id)
except KBNotFoundError:
db_info = {
"kb_id": kb_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"] = kb_instance.normalize_additional_params(kb.additional_params)
db_info["share_config"] = kb.share_config or DEFAULT_SHARE_CONFIG.copy()
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, kb_id: str, folder_id: str) -> None:
"""递归删除文件夹"""
kb_instance = await self._get_kb_for_database(kb_id)
await kb_instance.delete_folder(kb_id, folder_id)
async def delete_file(self, kb_id: str, file_id: str) -> None:
"""删除文件"""
kb_instance = await self._get_kb_for_database(kb_id)
await kb_instance.delete_file(kb_id, file_id)
async def update_content(self, kb_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(kb_id)
return await kb_instance.update_content(kb_id, file_ids, params or {})
async def get_file_basic_info(self, kb_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(kb_id)
return await kb_instance.get_file_basic_info(kb_id, file_id)
async def get_file_content(self, kb_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(kb_id)
return await kb_instance.get_file_content(kb_id, file_id)
async def open_file_content(self, kb_id: str, file_id: str, offset: int = 0, limit: int = 800) -> dict:
"""按行窗口打开文件解析后的 Markdown 内容"""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.open_file_content(kb_id, file_id, offset, limit)
async def find_file_content(
self,
kb_id: str,
file_id: str,
patterns: list[str],
*,
use_regex: bool = False,
case_sensitive: bool = False,
max_windows: int = 5,
window_size: int = 80,
) -> dict:
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.find_file_content(
kb_id,
file_id,
patterns,
use_regex=use_regex,
case_sensitive=case_sensitive,
max_windows=max_windows,
window_size=window_size,
)
async def get_file_info(self, kb_id: str, file_id: str) -> dict:
"""获取文件完整信息(基本信息+内容信息)"""
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.get_file_info(kb_id, file_id)
async def list_file_tree(
self,
kb_id: str,
parent_id: str | None = None,
recursive: bool = False,
files_only: bool = False,
) -> dict:
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.list_file_tree(kb_id, parent_id, recursive, files_only)
async def read_file_preview(self, kb_id: str, file_id: str, variant: str = "parsed") -> dict:
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.read_file_preview(kb_id, file_id, variant)
async def get_file_download(self, kb_id: str, file_id: str, variant: str = "original") -> dict:
kb_instance = await self._get_kb_for_database(kb_id)
return await kb_instance.get_file_download(kb_id, file_id, variant)
async def file_name_existed_in_db(self, kb_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 kb_id or not file_name:
return False
try:
kb_instance = await self._get_kb_for_database(kb_id)
except KBNotFoundError:
return False
for file_info in kb_instance.files_meta.values():
if file_info.get("kb_id") != kb_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, kb_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:
kb_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 kb_id or not filename:
return []
try:
kb_instance = await self._get_kb_for_database(kb_id)
except KBNotFoundError:
return []
same_name_files = []
for file_id, file_info in kb_instance.files_meta.items():
if file_info.get("kb_id") != kb_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, kb_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 kb_id or not content_hash:
return False
try:
kb_instance = await self._get_kb_for_database(kb_id)
except KBNotFoundError:
return False
for file_info in kb_instance.files_meta.values():
if file_info.get("kb_id") != kb_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,
kb_id: str,
name: str,
description: str,
llm_model_spec: str | None = None,
update_llm_model_spec: bool = False,
additional_params: dict | None = None,
share_config: dict | None = None,
operator_uid: str | None = None,
operator_department_id: int | str | 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_kb_id(kb_id)
if kb is None:
raise ValueError(f"数据库 {kb_id} 不存在")
kb_instance = await self._get_kb_for_database(kb_id)
kb_instance.update_database(kb_id, name, description, llm_model_spec, update_llm_model_spec)
update_data: dict = {
"name": name,
"description": description,
}
if update_llm_model_spec:
update_data["llm_model_spec"] = llm_model_spec
if additional_params is not None:
current_additional_params = kb.additional_params or {}
current_graph_config = current_additional_params.get("graph_build_config") or {}
if current_graph_config.get("locked") and "graph_build_config" in additional_params:
raise ValueError("图谱抽取配置已锁定,请使用图谱重置接口重新配置")
merged_additional_params = kb_instance.normalize_additional_params(
deep_merge(current_additional_params, additional_params)
)
update_data["additional_params"] = merged_additional_params
if kb_id in kb_instance.databases_meta:
kb_instance.databases_meta[kb_id]["metadata"] = merged_additional_params
if share_config is not None:
update_data["share_config"] = self._normalize_share_config(
share_config,
user_uid=operator_uid,
department_id=operator_department_id,
)
# 保存到数据库
await kb_repo.update(kb_id, update_data)
return await self.get_database_info(kb_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:
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"""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}
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# 按知识库类型统计
for row in rows:
kb_type = row.kb_type or "milvus"
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if kb_type not in stats["kb_types"]:
stats["kb_types"][kb_type] = 0
stats["kb_types"][kb_type] += 1
file_repo = KnowledgeFileRepository()
files = await file_repo.get_all()
stats["total_files"] = len(files)
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return stats
# =============================================================================
# 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,
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"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_kb_ids = {row.kb_id for row in rows}
# 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
if collection_name in all_known_kb_ids:
is_known = True
# 如果是已知集合,跳过
if is_known:
continue
# 如果是未知集合,记录下来
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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
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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)
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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 kb_id in metadata_collection_names:
try:
if utility.has_collection(kb_id, using=milvus_kb.connection_alias):
from pymilvus import Collection
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collection = Collection(name=kb_id, using=milvus_kb.connection_alias)
actual_count = collection.num_entities
# 获取 metadata 中记录的文件数量
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metadata_files_count = sum(
1 for file_info in milvus_kb.files_meta.values() if file_info.get("kb_id") == kb_id
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)
# 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:
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inconsistencies["missing_files"].append(
{
"kb_id": kb_id,
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"vector_count": actual_count,
"metadata_files_count": metadata_files_count,
"detected_at": utc_isoformat(),
}
)
logger.warning(
f"发现数据库 {kb_id} 在 Milvus 中有 {actual_count} 条向量数据,"
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"但 metadata 中没有文件记录"
)
except Exception as e:
logger.debug(f"检查数据库 {kb_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:
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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:
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logger.warning(
f" - 数据库: {file_info['kb_id']}, 向量数: {file_info['vector_count']}, "
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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}")
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()