feat: Phase 3 knowledge growth - multi-file fusion + entity alignment
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OpenClaw Bot
231
backend/db_manager.py
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231
backend/db_manager.py
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#!/usr/bin/env python3
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"""
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InsightFlow Database Manager
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处理项目、实体、关系的持久化
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"""
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import os
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import json
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import sqlite3
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from datetime import datetime
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from typing import List, Dict, Optional, Tuple
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from dataclasses import dataclass
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DB_PATH = os.getenv("DB_PATH", "/app/data/insightflow.db")
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@dataclass
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class Project:
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id: str
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name: str
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description: str = ""
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created_at: str = ""
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updated_at: str = ""
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@dataclass
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class Entity:
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id: str
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project_id: str
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name: str
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type: str
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definition: str = ""
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canonical_name: str = ""
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aliases: List[str] = None
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def __post_init__(self):
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if self.aliases is None:
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self.aliases = []
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@dataclass
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class EntityMention:
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id: str
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entity_id: str
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transcript_id: str
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start_pos: int
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end_pos: int
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text_snippet: str
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confidence: float = 1.0
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class DatabaseManager:
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def __init__(self, db_path: str = DB_PATH):
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self.db_path = db_path
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os.makedirs(os.path.dirname(db_path), exist_ok=True)
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self.init_db()
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def get_conn(self):
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conn = sqlite3.connect(self.db_path)
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conn.row_factory = sqlite3.Row
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return conn
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def init_db(self):
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"""初始化数据库表"""
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with open(os.path.join(os.path.dirname(__file__), 'schema.sql'), 'r') as f:
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schema = f.read()
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conn = self.get_conn()
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conn.executescript(schema)
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conn.commit()
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conn.close()
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# Project operations
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def create_project(self, project_id: str, name: str, description: str = "") -> Project:
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conn = self.get_conn()
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now = datetime.now().isoformat()
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conn.execute(
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"INSERT INTO projects (id, name, description, created_at, updated_at) VALUES (?, ?, ?, ?, ?)",
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(project_id, name, description, now, now)
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)
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conn.commit()
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conn.close()
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return Project(id=project_id, name=name, description=description, created_at=now, updated_at=now)
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def get_project(self, project_id: str) -> Optional[Project]:
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conn = self.get_conn()
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row = conn.execute("SELECT * FROM projects WHERE id = ?", (project_id,)).fetchone()
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conn.close()
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if row:
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return Project(**dict(row))
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return None
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def list_projects(self) -> List[Project]:
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conn = self.get_conn()
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rows = conn.execute("SELECT * FROM projects ORDER BY updated_at DESC").fetchall()
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conn.close()
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return [Project(**dict(r)) for r in rows]
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# Entity operations
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def create_entity(self, entity: Entity) -> Entity:
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conn = self.get_conn()
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conn.execute(
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"""INSERT INTO entities (id, project_id, name, canonical_name, type, definition, aliases, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)""",
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(entity.id, entity.project_id, entity.name, entity.canonical_name, entity.type,
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entity.definition, json.dumps(entity.aliases), datetime.now().isoformat(), datetime.now().isoformat())
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)
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conn.commit()
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conn.close()
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return entity
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def get_entity_by_name(self, project_id: str, name: str) -> Optional[Entity]:
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"""通过名称查找实体（用于对齐）"""
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conn = self.get_conn()
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row = conn.execute(
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"SELECT * FROM entities WHERE project_id = ? AND (name = ? OR canonical_name = ? OR aliases LIKE ?)",
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(project_id, name, name, f'%"{name}"%')
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).fetchone()
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conn.close()
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if row:
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data = dict(row)
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data['aliases'] = json.loads(data['aliases']) if data['aliases'] else []
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return Entity(**data)
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return None
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def find_similar_entities(self, project_id: str, name: str, threshold: float = 0.8) -> List[Entity]:
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"""查找相似实体（简单实现，生产可用 embedding）"""
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# TODO: 使用 embedding 或模糊匹配
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# 现在简单返回包含相同关键词的实体
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conn = self.get_conn()
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rows = conn.execute(
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"SELECT * FROM entities WHERE project_id = ? AND name LIKE ?",
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(project_id, f"%{name}%")
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).fetchall()
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conn.close()
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entities = []
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for row in rows:
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data = dict(row)
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data['aliases'] = json.loads(data['aliases']) if data['aliases'] else []
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entities.append(Entity(**data))
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return entities
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def merge_entities(self, target_id: str, source_id: str) -> Entity:
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"""合并两个实体（实体对齐）"""
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conn = self.get_conn()
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# 获取两个实体
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target = conn.execute("SELECT * FROM entities WHERE id = ?", (target_id,)).fetchone()
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source = conn.execute("SELECT * FROM entities WHERE id = ?", (source_id,)).fetchone()
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if not target or not source:
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conn.close()
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raise ValueError("Entity not found")
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# 合并别名
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target_aliases = set(json.loads(target['aliases']) if target['aliases'] else [])
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target_aliases.add(source['name'])
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target_aliases.update(json.loads(source['aliases']) if source['aliases'] else [])
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# 更新目标实体
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conn.execute(
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"UPDATE entities SET aliases = ?, updated_at = ? WHERE id = ?",
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(json.dumps(list(target_aliases)), datetime.now().isoformat(), target_id)
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)
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# 更新提及记录
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conn.execute(
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"UPDATE entity_mentions SET entity_id = ? WHERE entity_id = ?",
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(target_id, source_id)
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)
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# 删除源实体
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conn.execute("DELETE FROM entities WHERE id = ?", (source_id,))
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conn.commit()
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conn.close()
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return self.get_entity(target_id)
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def get_entity(self, entity_id: str) -> Optional[Entity]:
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conn = self.get_conn()
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row = conn.execute("SELECT * FROM entities WHERE id = ?", (entity_id,)).fetchone()
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conn.close()
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if row:
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data = dict(row)
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data['aliases'] = json.loads(data['aliases']) if data['aliases'] else []
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return Entity(**data)
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return None
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def list_project_entities(self, project_id: str) -> List[Entity]:
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conn = self.get_conn()
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rows = conn.execute(
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"SELECT * FROM entities WHERE project_id = ? ORDER BY updated_at DESC",
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(project_id,)
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).fetchall()
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conn.close()
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entities = []
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for row in rows:
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data = dict(row)
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data['aliases'] = json.loads(data['aliases']) if data['aliases'] else []
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entities.append(Entity(**data))
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return entities
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# Mention operations
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def add_mention(self, mention: EntityMention) -> EntityMention:
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conn = self.get_conn()
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conn.execute(
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"""INSERT INTO entity_mentions (id, entity_id, transcript_id, start_pos, end_pos, text_snippet, confidence)
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VALUES (?, ?, ?, ?, ?, ?, ?)""",
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(mention.id, mention.entity_id, mention.transcript_id, mention.start_pos,
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mention.end_pos, mention.text_snippet, mention.confidence)
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)
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conn.commit()
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conn.close()
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return mention
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def get_entity_mentions(self, entity_id: str) -> List[EntityMention]:
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conn = self.get_conn()
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rows = conn.execute(
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"SELECT * FROM entity_mentions WHERE entity_id = ? ORDER BY transcript_id, start_pos",
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(entity_id,)
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).fetchall()
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conn.close()
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return [EntityMention(**dict(r)) for r in rows]
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# Singleton instance
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_db_manager = None
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def get_db_manager() -> DatabaseManager:
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global _db_manager
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if _db_manager is None:
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_db_manager = DatabaseManager()
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return _db_manager
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