Task configuration:
{"task_id": "06", "task_name": "add_item_to_collection", "description": "\u5c06Zotero\u6761\u76ee\u6dfb\u52a0\u81f3\u5176\u4ed6\u5206\u7c7b", "application_info": {"type": "electron", "name": "zotero", "executable_path": "apps/zotero/app/scripts/build_and_run", "args": ["-r"]}, "task_parameters": {"item_desc": "Multi-Grained", "collection_desc": "Container"}, "instruction_template": "\u5728\u6253\u5f00\u7684zotero `MyLibrary` \u4e2d\u5c06 `virtualization` \u4e2d\u7684 \u6807\u9898\u5305\u542b `${item_desc}` \u7684\u6761\u76ee\u6dfb\u52a0\u81f3\u5206\u7ec4 `${collection_desc}`, \u5982\u679c\u5206\u7ec4\u4e0d\u5b58\u5728\u5219\u5728 `MyLibrary` \u4e0b\u521b\u5efa", "evaluation_setup": {"scripts": [{"role": "hook", "path": "hooker.js"}, {"role": "handler", "path": "handler.py"}], "timeout": 120, "evaluator_type": "IpcInjector", "evaluate_on_completion": true}, "total_key_steps": 1, "events": {"item_added": {"description": "\u6210\u529f\u6dfb\u52a0\u6761\u76ee", "is_key_step": true, "key_step_index": 1, "key_step_name": "\u6210\u529f\u6dfb\u52a0\u6761\u76ee"}}, "mcp_servers": [{"cwd": "/home/agent/zotero-mcp", "command": "uv", "args": ["run", "zotero-mcp"], "env": {"ZOTERO_LOCAL": "true"}}], "pre_process": {"command": "python", "args": ["/home/agent/agent-demo/PC-Canary/tests/tasks/zotero/task06_add_item_to_collection/pre_process.py"]}, "context_data": [{"from": "tests/context_data/zotero/task06_add_item_to_collection/Zotero", "to": "/home/agent/Zotero"}, {"from": "tests/context_data/zotero/task06_add_item_to_collection/.zotero", "to": "/home/agent/.zotero"}]}

Hook script:
// // hookClient.js
// const http = require('http');
// const { URL } = require('url');

// // 基础配置
// const SERVER_HOST = 'localhost';
// const SERVER_PORT = 5001;

// function sendRequest(path, params = {}) {
//     return new Promise((resolve, reject) => {
//         const url = new URL(`http://${SERVER_HOST}:${SERVER_PORT}/${path}`);
//         Object.entries(params).forEach(([k, v]) => url.searchParams.set(k, v));

//         http.get(url, (res) => {
//             let data = '';
//             res.on('data', chunk => data += chunk);
//             res.on('end', () => resolve(JSON.parse(data)));
//         }).on('error', reject);
//     });
// }

// // 启用 Hook
// async function enableHook(hookName) {
//     return sendRequest(`call/${hookName}`);
// }

// // 禁用 Hook
// async function disableHook(hookName) {
//     return sendRequest(`stop/${hookName}`);
// }

// // 使用示例
// (async () => {
//     try {
//         // 启用 hookAddCollection
//         const enableResult = await enableHook('hookAddItemToCollection');
//         console.log('启用结果:', enableResult);
//     } catch (err) {
//         console.error('操作失败:', err);
//     }
// })();

Evaluation handler:
import os
import json
import time
from typing import Dict, Any, Optional, List
import shutil
import sqlite3
import platform

def message_handler(message: Dict[str, Any], logger: Any, task_parameter: Dict[str, Any]) -> Optional[List[Dict[str, Any]]]:
    event_type = message.get('event_type')
    if event_type == 'item_to_collection_added':
        if check_item_in_collection(message.get('doi'), message.get('collection')):
            return [
                {"status": "key_step", "index": 1},
                {"status": "success", "reason": "条目已成功添加到分类"}
            ]
        else:
            return None
    else:
        return [
            {"status": "error", "type": "evaluate_on_completion", "message": "任务没有完成"}
        ]


# 根据操作系统找到 Zotero 数据库路径
def get_zotero_db_path():
    system = platform.system()
    home = os.path.expanduser("~")
    
    if system == 'Windows':
        return os.path.join(home, 'Zotero', 'zotero.sqlite')
    elif system == 'Darwin':  # macOS
        return os.path.join(home, 'Zotero', 'zotero.sqlite')
    elif system == 'Linux':
        return os.path.join(home, 'Zotero', 'zotero.sqlite')
    else:
        raise Exception("不支持的操作系统")
    
# 检查指定 DOI 的条目是否在特定分类中
def check_item_in_collection(doi, collection_name):
    try:
        # 获取原始数据库路径
        original_db_path = get_zotero_db_path()
        if not os.path.exists(original_db_path):
            print(f"Zotero 数据库文件未找到: {original_db_path}")
            return False
        
        # 创建临时数据库副本
        temp_db_path = original_db_path + ".temp"
        print(f"创建数据库临时副本: {temp_db_path}")
        shutil.copy2(original_db_path, temp_db_path)
        
        try:
            # 连接到临时数据库副本
            conn = sqlite3.connect(temp_db_path)
            cursor = conn.cursor()
            
            # 1. 首先找到 DOI 字段的 fieldID
            cursor.execute("SELECT fieldID FROM fields WHERE fieldName = 'DOI'")
            doi_field_id = cursor.fetchone()
            
            if not doi_field_id:
                print("未找到 DOI 字段")
                return False
            
            doi_field_id = doi_field_id[0]
            
            # 2. 找到具有指定 DOI 的条目
            cursor.execute("""
                SELECT items.itemID, items.key 
                FROM items 
                JOIN itemData ON items.itemID = itemData.itemID 
                JOIN itemDataValues ON itemData.valueID = itemDataValues.valueID 
                WHERE itemData.fieldID = ? AND itemDataValues.value = ?
            """, (doi_field_id, doi))
            
            item = cursor.fetchone()
            
            if not item:
                print(f"未找到 DOI 为 {doi} 的条目")
                return False
            
            item_id = item[0]
            item_key = item[1]
            print(f"找到条目 ID: {item_id}, Key: {item_key}, DOI: {doi}")
            
            # 3. 找到指定名称的分类
            cursor.execute("""
                SELECT collectionID, collectionName 
                FROM collections 
                WHERE collectionName LIKE ?
            """, (f"%{collection_name}%",))
            
            collections = cursor.fetchall()
            
            if not collections:
                print(f"未找到名称包含 '{collection_name}' 的分类")
                return False
            
            print(f"找到 {len(collections)} 个匹配的分类:")
            for coll in collections:
                print(f"  - 分类 ID: {coll[0]}, 名称: '{coll[1]}'")
            
            # 4. 检查条目是否在任何匹配的分类中
            for coll in collections:
                collection_id = coll[0]
                
                cursor.execute("""
                    SELECT COUNT(*) 
                    FROM collectionItems 
                    WHERE collectionID = ? AND itemID = ?
                """, (collection_id, item_id))
                
                count = cursor.fetchone()[0]
                
                if count > 0:
                    print(f"条目在分类 '{coll[1]}' (ID: {collection_id}) 中")
                    conn.close()
                    return True
            
            print(f"条目不在任何匹配的分类中")
            conn.close()
            return False
            
        except sqlite3.Error as e:
            print(f"查询数据库时出错: {e}")
            return False
            
        finally:
            # 无论查询是否成功，都删除临时数据库
            if os.path.exists(temp_db_path):
                try:
                    os.remove(temp_db_path)
                    print(f"已删除临时数据库副本")
                except OSError as e:
                    print(f"删除临时数据库时出错: {e}")
    
    except Exception as e:
        print(f"检查条目分类时出错: {e}")
        return False