Agent/knowhub/knowhub_db/pg_capability_store.py

"""
PostgreSQL atomic_capability 存储封装

用于存储和检索原子能力数据，支持向量检索
"""

import os
import json
import psycopg2
from psycopg2.extras import RealDictCursor
from typing import List, Dict, Optional
from dotenv import load_dotenv

load_dotenv()


class PostgreSQLCapabilityStore:
    def __init__(self):
        """初始化 PostgreSQL 连接"""
        self.conn = psycopg2.connect(
            host=os.getenv('KNOWHUB_DB'),
            port=int(os.getenv('KNOWHUB_PORT', 5432)),
            user=os.getenv('KNOWHUB_USER'),
            password=os.getenv('KNOWHUB_PASSWORD'),
            database=os.getenv('KNOWHUB_DB_NAME')
        )
        self.conn.autocommit = False
        print(f"[PostgreSQL Capability] 已连接到远程数据库: {os.getenv('KNOWHUB_DB')}")

    def _get_cursor(self):
        return self.conn.cursor(cursor_factory=RealDictCursor)

    def insert_or_update(self, cap: Dict):
        """插入或更新原子能力"""
        cursor = self._get_cursor()
        try:
            cursor.execute("""
                INSERT INTO atomic_capability (
                    id, name, criterion, description, requirements,
                    implements, tools, source_knowledge, embedding
                ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
                ON CONFLICT (id) DO UPDATE SET
                    name = EXCLUDED.name,
                    criterion = EXCLUDED.criterion,
                    description = EXCLUDED.description,
                    requirements = EXCLUDED.requirements,
                    implements = EXCLUDED.implements,
                    tools = EXCLUDED.tools,
                    source_knowledge = EXCLUDED.source_knowledge,
                    embedding = EXCLUDED.embedding
            """, (
                cap['id'],
                cap.get('name', ''),
                cap.get('criterion', ''),
                cap.get('description', ''),
                json.dumps(cap.get('requirements', [])),
                json.dumps(cap.get('implements', {})),
                json.dumps(cap.get('tools', [])),
                json.dumps(cap.get('source_knowledge', [])),
                cap.get('embedding'),
            ))
            self.conn.commit()
        finally:
            cursor.close()

    def get_by_id(self, cap_id: str) -> Optional[Dict]:
        """根据 ID 获取原子能力"""
        cursor = self._get_cursor()
        try:
            cursor.execute("""
                SELECT id, name, criterion, description, requirements,
                       implements, tools, source_knowledge
                FROM atomic_capability WHERE id = %s
            """, (cap_id,))
            result = cursor.fetchone()
            return self._format_result(result) if result else None
        finally:
            cursor.close()

    def search(self, query_embedding: List[float], limit: int = 10) -> List[Dict]:
        """向量检索原子能力"""
        cursor = self._get_cursor()
        try:
            cursor.execute("""
                SELECT id, name, criterion, description, requirements,
                       implements, tools, source_knowledge,
                       1 - (embedding <=> %s::real[]) as score
                FROM atomic_capability
                WHERE embedding IS NOT NULL
                ORDER BY embedding <=> %s::real[]
                LIMIT %s
            """, (query_embedding, query_embedding, limit))
            results = cursor.fetchall()
            return [self._format_result(r) for r in results]
        finally:
            cursor.close()

    def list_all(self, limit: int = 100, offset: int = 0) -> List[Dict]:
        """列出原子能力"""
        cursor = self._get_cursor()
        try:
            cursor.execute("""
                SELECT id, name, criterion, description, requirements,
                       implements, tools, source_knowledge
                FROM atomic_capability
                ORDER BY id
                LIMIT %s OFFSET %s
            """, (limit, offset))
            results = cursor.fetchall()
            return [self._format_result(r) for r in results]
        finally:
            cursor.close()

    def update(self, cap_id: str, updates: Dict):
        """更新原子能力字段"""
        cursor = self._get_cursor()
        try:
            set_parts = []
            params = []
            json_fields = ('requirements', 'implements', 'tools', 'source_knowledge')
            for key, value in updates.items():
                set_parts.append(f"{key} = %s")
                if key in json_fields:
                    params.append(json.dumps(value))
                else:
                    params.append(value)
            params.append(cap_id)
            cursor.execute(
                f"UPDATE atomic_capability SET {', '.join(set_parts)} WHERE id = %s",
                params
            )
            self.conn.commit()
        finally:
            cursor.close()

    def delete(self, cap_id: str):
        """删除原子能力"""
        cursor = self._get_cursor()
        try:
            cursor.execute("DELETE FROM atomic_capability WHERE id = %s", (cap_id,))
            self.conn.commit()
        finally:
            cursor.close()

    def count(self) -> int:
        """统计原子能力总数"""
        cursor = self._get_cursor()
        try:
            cursor.execute("SELECT COUNT(*) as count FROM atomic_capability")
            return cursor.fetchone()['count']
        finally:
            cursor.close()

    def _format_result(self, row: Dict) -> Dict:
        """格式化查询结果"""
        if not row:
            return None
        result = dict(row)
        for field in ('requirements', 'implements', 'tools', 'source_knowledge'):
            if field in result and isinstance(result[field], str):
                result[field] = json.loads(result[field])
        return result

    def close(self):
        if self.conn:
            self.conn.close()