"""
CLI Commands
命令行界面命令系统 - 增强版
"""

import argparse
import asyncio
import os
import sys
import json
import yaml
import shutil
from pathlib import Path
from typing import Dict, Any, Callable, Optional, List
from datetime import datetime
import subprocess
import tempfile
import webbrowser
from rich.console import Console
from rich.table import Table
from rich.progress import track, Progress, SpinnerColumn, TextColumn
from rich.panel import Panel
from rich.syntax import Syntax
from rich.tree import Tree
from rich import print as rprint

# 添加项目根目录到路径
project_root = Path(__file__).parent.parent.parent.parent
sys.path.insert(0, str(project_root))

from ...adapter.openai.adapter import OpenAIAdapter
from ...adapter.openai.agent_wrapper import OpenAIAgentWrapper
from ...business.teams.collaboration_manager import CollaborationManager, CollaborationPattern, CollaborationRole
from ...business.workflows.workflow_engine import WorkflowEngine, WorkflowStepType
from ...framework.abstractions.task import UniversalTask, TaskType
from ...framework.abstractions.context import UniversalContext
from ...framework.abstractions.agent import AgentCapability


class CommandRegistry:
    """
    命令注册系统 - 增强版
    """
    
    def __init__(self):
        self.commands: Dict[str, Callable] = {}
        self.console = Console()
        self.project_root = Path.cwd()
        
    def register_commands(self, subparsers) -> None:
        """注册所有命令"""
        
        # Agent命令组
        agent_parser = subparsers.add_parser('agent', help='🤖 Agent管理命令')
        agent_subparsers = agent_parser.add_subparsers(dest='agent_action')
        
        # agent list
        list_parser = agent_subparsers.add_parser('list', help='📋 列出所有Agent')
        list_parser.add_argument('--format', choices=['table', 'json', 'yaml'], default='table', help='输出格式')
        list_parser.add_argument('--filter', help='过滤条件（名称、类型等）')
        list_parser.add_argument('--sort', choices=['name', 'type', 'created'], default='name', help='排序字段')
        
        # agent create
        create_parser = agent_subparsers.add_parser('create', help='✨ 创建新Agent')
        create_parser.add_argument('--name', required=True, help='Agent名称')
        create_parser.add_argument('--type', choices=['openai', 'autogen', 'langgraph'], default='openai', help='Agent类型')
        create_parser.add_argument('--model', default='gpt-4o-mini', help='使用的模型')
        create_parser.add_argument('--system-message', help='系统消息')
        create_parser.add_argument('--template', help='使用模板创建')
        create_parser.add_argument('--capabilities', nargs='+', help='Agent能力列表')
        create_parser.add_argument('--interactive', action='store_true', help='交互式创建')
        
        # agent chat
        chat_parser = agent_subparsers.add_parser('chat', help='💬 与Agent对话')
        chat_parser.add_argument('--name', required=True, help='Agent名称')
        chat_parser.add_argument('--message', help='消息内容（如果不提供则进入交互模式）')
        chat_parser.add_argument('--history', action='store_true', help='显示对话历史')
        chat_parser.add_argument('--save', help='保存对话到文件')
        
        # agent info
        info_parser = agent_subparsers.add_parser('info', help='ℹ️ 显示Agent详细信息')
        info_parser.add_argument('name', help='Agent名称')
        
        # agent delete
        delete_parser = agent_subparsers.add_parser('delete', help='🗑️ 删除Agent')
        delete_parser.add_argument('name', help='Agent名称')
        delete_parser.add_argument('--force', action='store_true', help='强制删除（不确认）')
        
        # Workflow命令组
        workflow_parser = subparsers.add_parser('workflow', help='⚙️ 工作流管理命令')
        workflow_subparsers = workflow_parser.add_subparsers(dest='workflow_action')
        
        # workflow list
        wf_list_parser = workflow_subparsers.add_parser('list', help='📋 列出所有工作流')
        wf_list_parser.add_argument('--format', choices=['table', 'json', 'yaml'], default='table', help='输出格式')
        wf_list_parser.add_argument('--status', choices=['active', 'completed', 'failed'], help='按状态过滤')
        
        # workflow create
        wf_create_parser = workflow_subparsers.add_parser('create', help='✨ 创建工作流')
        wf_create_parser.add_argument('--name', required=True, help='工作流名称')
        wf_create_parser.add_argument('--description', help='工作流描述')
        wf_create_parser.add_argument('--template', help='使用模板')
        wf_create_parser.add_argument('--file', help='从文件创建工作流')
        wf_create_parser.add_argument('--interactive', action='store_true', help='交互式创建')
        
        # workflow run
        wf_run_parser = workflow_subparsers.add_parser('run', help='▶️ 运行工作流')
        wf_run_parser.add_argument('--id', required=True, help='工作流ID')
        wf_run_parser.add_argument('--context', help='初始上下文（JSON格式）')
        wf_run_parser.add_argument('--watch', action='store_true', help='实时监控执行状态')
        wf_run_parser.add_argument('--timeout', type=int, default=300, help='超时时间（秒）')
        
        # workflow status
        wf_status_parser = workflow_subparsers.add_parser('status', help='📊 查看工作流状态')
        wf_status_parser.add_argument('id', help='工作流执行ID')
        wf_status_parser.add_argument('--follow', action='store_true', help='持续跟踪状态')
        
        # workflow logs
        wf_logs_parser = workflow_subparsers.add_parser('logs', help='📄 查看工作流日志')
        wf_logs_parser.add_argument('id', help='工作流执行ID')
        wf_logs_parser.add_argument('--follow', action='store_true', help='持续跟踪日志')
        wf_logs_parser.add_argument('--lines', type=int, default=100, help='显示行数')
        
        # Team命令组
        team_parser = subparsers.add_parser('team', help='👥 团队管理命令')
        team_subparsers = team_parser.add_subparsers(dest='team_action')
        
        # team list
        team_list_parser = team_subparsers.add_parser('list', help='📋 列出所有团队')
        team_list_parser.add_argument('--format', choices=['table', 'json', 'yaml'], default='table', help='输出格式')
        
        # team create
        team_create_parser = team_subparsers.add_parser('create', help='✨ 创建团队')
        team_create_parser.add_argument('--name', required=True, help='团队名称')
        team_create_parser.add_argument('--members', nargs='+', help='团队成员列表')
        team_create_parser.add_argument('--template', help='使用团队模板')
        team_create_parser.add_argument('--interactive', action='store_true', help='交互式创建')
        
        # team collaborate
        team_collab_parser = team_subparsers.add_parser('collaborate', help='🤝 执行团队协作')
        team_collab_parser.add_argument('--team', required=True, help='团队名称')
        team_collab_parser.add_argument('--task', required=True, help='任务描述')
        team_collab_parser.add_argument('--pattern', 
                                      choices=[p.value for p in CollaborationPattern],
                                      default='parallel', help='协作模式')
        team_collab_parser.add_argument('--watch', action='store_true', help='实时监控协作状态')
        
        # team performance
        team_perf_parser = team_subparsers.add_parser('performance', help='📊 查看团队性能')
        team_perf_parser.add_argument('name', help='团队名称')
        team_perf_parser.add_argument('--period', choices=['day', 'week', 'month'], default='week', help='统计周期')
        
        # Project命令组
        project_parser = subparsers.add_parser('project', help='🏗️ 项目管理命令')
        project_subparsers = project_parser.add_subparsers(dest='project_action')
        
        # project init
        proj_init_parser = project_subparsers.add_parser('init', help='🚀 初始化新项目')
        proj_init_parser.add_argument('name', help='项目名称')
        proj_init_parser.add_argument('--template', help='项目模板')
        proj_init_parser.add_argument('--path', help='项目路径')
        proj_init_parser.add_argument('--interactive', action='store_true', help='交互式创建')
        
        # project list
        proj_list_parser = project_subparsers.add_parser('list', help='📋 列出所有项目')
        proj_list_parser.add_argument('--format', choices=['table', 'json', 'yaml'], default='table', help='输出格式')
        
        # project status
        proj_status_parser = project_subparsers.add_parser('status', help='📊 查看项目状态')
        proj_status_parser.add_argument('name', nargs='?', help='项目名称（默认当前项目）')
        
        # project build
        proj_build_parser = project_subparsers.add_parser('build', help='🔨 构建项目')
        proj_build_parser.add_argument('--target', help='构建目标')
        proj_build_parser.add_argument('--watch', action='store_true', help='监控文件变化并自动构建')
        
        # project deploy
        proj_deploy_parser = project_subparsers.add_parser('deploy', help='🚀 部署项目')
        proj_deploy_parser.add_argument('--env', choices=['dev', 'staging', 'prod'], default='dev', help='部署环境')
        proj_deploy_parser.add_argument('--dry-run', action='store_true', help='预演模式')
        
        # Config命令组
        config_parser = subparsers.add_parser('config', help='⚙️ 配置管理命令')
        config_subparsers = config_parser.add_subparsers(dest='config_action')
        
        # config get
        config_get_parser = config_subparsers.add_parser('get', help='📖 获取配置值')
        config_get_parser.add_argument('key', help='配置键')
        
        # config set
        config_set_parser = config_subparsers.add_parser('set', help='✏️ 设置配置值')
        config_set_parser.add_argument('key', help='配置键')
        config_set_parser.add_argument('value', help='配置值')
        
        # config list
        config_list_parser = config_subparsers.add_parser('list', help='📋 列出所有配置')
        config_list_parser.add_argument('--format', choices=['table', 'json', 'yaml'], default='table', help='输出格式')
        
        # config edit
        config_edit_parser = config_subparsers.add_parser('edit', help='✏️ 编辑配置文件')
        config_edit_parser.add_argument('--editor', help='指定编辑器')
        
        # Monitor命令组
        monitor_parser = subparsers.add_parser('monitor', help='📊 监控命令')
        monitor_subparsers = monitor_parser.add_subparsers(dest='monitor_action')
        
        # monitor system
        monitor_sys_parser = monitor_subparsers.add_parser('system', help='💻 系统监控')
        monitor_sys_parser.add_argument('--interval', type=int, default=5, help='刷新间隔（秒）')
        
        # monitor agents
        monitor_agents_parser = monitor_subparsers.add_parser('agents', help='🤖 Agent监控')
        monitor_agents_parser.add_argument('--interval', type=int, default=10, help='刷新间隔（秒）')
        
        # monitor workflows
        monitor_wf_parser = monitor_subparsers.add_parser('workflows', help='⚙️ 工作流监控')
        monitor_wf_parser.add_argument('--interval', type=int, default=15, help='刷新间隔（秒）')
        
        # Tools命令组
        tools_parser = subparsers.add_parser('tools', help='🛠️ 工具命令')
        tools_subparsers = tools_parser.add_subparsers(dest='tools_action')
        
        # tools validate
        tools_validate_parser = tools_subparsers.add_parser('validate', help='✅ 验证配置和设置')
        tools_validate_parser.add_argument('--fix', action='store_true', help='自动修复问题')
        
        # tools benchmark
        tools_bench_parser = tools_subparsers.add_parser('benchmark', help='⚡ 性能基准测试')
        tools_bench_parser.add_argument('--type', choices=['agent', 'workflow', 'system'], default='system', help='测试类型')
        tools_bench_parser.add_argument('--duration', type=int, default=60, help='测试时长（秒）')
        
        # tools export
        tools_export_parser = tools_subparsers.add_parser('export', help='📤 导出数据')
        tools_export_parser.add_argument('--type', choices=['agents', 'workflows', 'teams', 'all'], required=True, help='导出类型')
        tools_export_parser.add_argument('--format', choices=['json', 'yaml', 'csv'], default='json', help='导出格式')
        tools_export_parser.add_argument('--output', help='输出文件路径')
        
        # tools import
        tools_import_parser = tools_subparsers.add_parser('import', help='📥 导入数据')
        tools_import_parser.add_argument('file', help='导入文件路径')
        tools_import_parser.add_argument('--type', choices=['agents', 'workflows', 'teams', 'auto'], default='auto', help='导入类型')
        tools_import_parser.add_argument('--merge', action='store_true', help='合并模式（不覆盖现有数据）')
        
        # Demo命令组 - 增强版
        demo_parser = subparsers.add_parser('demo', help='🎮 演示命令')
        demo_subparsers = demo_parser.add_subparsers(dest='demo_type')
        
        # demo openai
        openai_parser = demo_subparsers.add_parser('openai', help='🤖 OpenAI演示')
        openai_parser.add_argument('--model', default='gpt-4o-mini', help='使用的模型')
        openai_parser.add_argument('--interactive', action='store_true', help='交互模式')
        
        # demo business
        business_parser = demo_subparsers.add_parser('business', help='🏢 业务层演示')
        business_parser.add_argument('--module', choices=['collaboration', 'workflow', 'team', 'all'], default='all', help='演示模块')
        business_parser.add_argument('--verbose', action='store_true', help='详细输出')
        
        # demo orchestration
        orchestration_parser = demo_subparsers.add_parser('orchestration', help='🎭 应用编排演示')
        orchestration_parser.add_argument('--verbose', action='store_true', help='详细输出')
        
        # demo interactive
        interactive_parser = demo_subparsers.add_parser('interactive', help='🎯 交互式演示向导')
        
        # Help命令组
        help_parser = subparsers.add_parser('help', help='❓ 帮助命令')
        help_subparsers = help_parser.add_subparsers(dest='help_topic')
        
        # help commands
        help_cmd_parser = help_subparsers.add_parser('commands', help='📋 命令列表')
        help_cmd_parser.add_argument('--category', help='命令分类')
        
        # help examples
        help_examples_parser = help_subparsers.add_parser('examples', help='💡 使用示例')
        help_examples_parser.add_argument('--command', help='特定命令的示例')
        
        # help docs
        help_docs_parser = help_subparsers.add_parser('docs', help='📚 打开文档')
        help_docs_parser.add_argument('--local', action='store_true', help='打开本地文档')
        
    async def execute_command(self, args: argparse.Namespace) -> int:
        """执行命令"""
        try:
            if args.command == 'agent':
                return await self._handle_agent_commands(args)
            elif args.command == 'workflow':
                return await self._handle_workflow_commands(args)
            elif args.command == 'team':
                return await self._handle_team_commands(args)
            elif args.command == 'demo':
                return await self._handle_demo_commands(args)
            elif args.command == 'config':
                return await self._handle_config_commands(args)
            elif args.command == 'system':
                return await self._handle_system_commands(args)
            elif args.command == 'project':
                return await self._handle_project_commands(args)
            elif args.command == 'monitor':
                return await self._handle_monitor_commands(args)
            elif args.command == 'tools':
                return await self._handle_tools_commands(args)
            elif args.command == 'help':
                return await self._handle_help_commands(args)
            else:
                print(f"未知命令: {args.command}")
                return 1
                
        except Exception as e:
            print(f"❌ 命令执行失败: {e}")
            return 1
    
    async def _handle_agent_commands(self, args: argparse.Namespace) -> int:
        """处理Agent命令"""
        if args.agent_action == 'list':
            return await self._agent_list(args)
        elif args.agent_action == 'create':
            return await self._agent_create(args)
        elif args.agent_action == 'chat':
            return await self._agent_chat(args)
        elif args.agent_action == 'info':
            return await self._agent_info(args)
        elif args.agent_action == 'delete':
            return await self._agent_delete(args)
        else:
            print(f"未知Agent操作: {args.agent_action}")
            return 1
    
    async def _agent_list(self, args: argparse.Namespace) -> int:
        """列出Agent"""
        print("📋 Agent列表:")
        print("=" * 50)
        
        # 这里应该从实际的Agent管理器获取数据
        # 目前显示示例数据
        agents = [
            {"name": "OpenAI Assistant", "type": "openai", "model": "gpt-4o-mini", "status": "ready"},
            {"name": "Code Expert", "type": "openai", "model": "gpt-4", "status": "ready"},
            {"name": "AutoGen Team", "type": "autogen", "model": "multi", "status": "ready"},
        ]
        
        if args.format == 'json':
            print(json.dumps(agents, indent=2, ensure_ascii=False))
        else:
            print(f"{'名称':<20} {'类型':<10} {'模型':<15} {'状态':<10}")
            print("-" * 60)
            for agent in agents:
                print(f"{agent['name']:<20} {agent['type']:<10} {agent['model']:<15} {agent['status']:<10}")
        
        return 0
    
    async def _agent_create(self, args: argparse.Namespace) -> int:
        """创建Agent"""
        print(f"🤖 创建Agent: {args.name}")
        print("=" * 50)
        
        try:
            if args.type == 'openai':
                # 检查API密钥
                api_key = os.getenv("OPENAI_API_KEY")
                if not api_key:
                    print("❌ 请设置OPENAI_API_KEY环境变量")
                    return 1
                
                # 创建OpenAI适配器
                adapter = OpenAIAdapter(f"{args.name.lower()}_adapter")
                config = {
                    "api_key": api_key,
                    "model": args.model,
                    "temperature": 0.7,
                    "max_tokens": 2000
                }
                
                await adapter.initialize(config)
                
                # 创建Agent包装器
                agent = OpenAIAgentWrapper(
                    name=args.name,
                    adapter=adapter,
                    description=f"OpenAI Agent using {args.model}",
                    config={
                        "system_message": args.system_message or "You are a helpful AI assistant.",
                        "model_config": "default"
                    }
                )
                
                print(f"✅ 成功创建OpenAI Agent: {args.name}")
                print(f"   模型: {args.model}")
                print(f"   系统消息: {args.system_message or '默认消息'}")
                
            else:
                print(f"❌ 暂不支持Agent类型: {args.type}")
                return 1
            
            return 0
            
        except Exception as e:
            print(f"❌ 创建Agent失败: {e}")
            return 1
    
    async def _agent_chat(self, args: argparse.Namespace) -> int:
        """与Agent对话"""
        print(f"💬 与Agent对话: {args.name}")
        print("=" * 50)
        
        try:
            # 检查API密钥
            api_key = os.getenv("OPENAI_API_KEY")
            if not api_key:
                print("❌ 请设置OPENAI_API_KEY环境变量")
                return 1
            
            # 创建临时Agent（实际应用中应该从Agent管理器获取）
            adapter = OpenAIAdapter(f"{args.name.lower()}_adapter")
            config = {
                "api_key": api_key,
                "model": "gpt-4o-mini",
                "temperature": 0.7,
                "max_tokens": 1000
            }
            
            await adapter.initialize(config)
            
            agent = OpenAIAgentWrapper(
                name=args.name,
                adapter=adapter,
                description="Chat Agent",
                config={
                    "system_message": "You are a helpful AI assistant.",
                    "model_config": "default"
                }
            )
            
            if args.message:
                # 单次对话
                response = await agent.chat(args.message)
                print(f"\n🤖 {args.name}: {response}")
            else:
                # 交互模式
                print(f"进入与 {args.name} 的对话模式。输入 'quit' 或 'exit' 退出。")
                print("-" * 50)
                
                conversation_history = []
                
                while True:
                    try:
                        user_input = input("\n👤 你: ").strip()
                        
                        if user_input.lower() in ['quit', 'exit', '退出']:
                            print("👋 对话结束")
                            break
                        
                        if not user_input:
                            continue
                        
                        response = await agent.chat(user_input, conversation_history)
                        print(f"\n🤖 {args.name}: {response}")
                        
                        # 更新对话历史
                        conversation_history.append({"role": "user", "content": user_input})
                        conversation_history.append({"role": "assistant", "content": response})
                        
                        # 限制历史长度
                        if len(conversation_history) > 20:
                            conversation_history = conversation_history[-20:]
                        
                    except KeyboardInterrupt:
                        print("\n👋 对话被中断")
                        break
                    except EOFError:
                        print("\n👋 对话结束")
                        break
            
            return 0
            
        except Exception as e:
            print(f"❌ 对话失败: {e}")
            return 1
    
    async def _agent_info(self, args: argparse.Namespace) -> int:
        """显示Agent详细信息"""
        print(f"ℹ️ 显示Agent详细信息: {args.name}")
        print("=" * 50)
        
        # 这里应该从实际的Agent管理器获取数据
        # 目前显示示例数据
        agent_info = {
            "名称": "OpenAI Assistant",
            "类型": "openai",
            "模型": "gpt-4o-mini",
            "状态": "ready",
            "创建时间": "2023-10-27 10:00:00",
            "能力": ["自然语言处理", "代码生成", "信息检索"]
        }
        
        table = Table(title=f"Agent: {args.name}")
        table.add_column("属性", style="cyan")
        table.add_column("值", style="magenta")
        
        for key, value in agent_info.items():
            table.add_row(key, str(value))
        
        self.console.print(table)
        return 0
    
    async def _agent_delete(self, args: argparse.Namespace) -> int:
        """删除Agent"""
        print(f"🗑️ 删除Agent: {args.name}")
        print("=" * 50)
        
        if args.force:
            confirm = "y"
        else:
            confirm = input("确定要删除该Agent吗？(y/N): ").lower()
            
        if confirm == "y":
            try:
                # 这里应该从实际的Agent管理器删除
                print(f"✅ 已删除Agent: {args.name}")
                return 0
            except Exception as e:
                print(f"❌ 删除Agent失败: {e}")
                return 1
        else:
            print("👋 取消删除")
            return 0
    
    async def _handle_workflow_commands(self, args: argparse.Namespace) -> int:
        """处理工作流命令"""
        if args.workflow_action == 'list':
            return await self._workflow_list(args)
        elif args.workflow_action == 'create':
            return await self._workflow_create(args)
        elif args.workflow_action == 'run':
            return await self._workflow_run(args)
        elif args.workflow_action == 'status':
            return await self._workflow_status(args)
        elif args.workflow_action == 'logs':
            return await self._workflow_logs(args)
        else:
            print(f"未知工作流操作: {args.workflow_action}")
            return 1
    
    async def _workflow_list(self, args: argparse.Namespace) -> int:
        """列出工作流"""
        print("⚙️ 工作流列表:")
        print("=" * 50)
        
        # 示例工作流数据
        workflows = [
            {"id": "wf_001", "name": "Software Development", "steps": 6, "status": "ready"},
            {"id": "wf_002", "name": "Content Creation", "steps": 4, "status": "ready"},
            {"id": "wf_003", "name": "Data Analysis", "steps": 5, "status": "draft"},
        ]
        
        if args.format == 'json':
            print(json.dumps(workflows, indent=2, ensure_ascii=False))
        else:
            print(f"{'ID':<10} {'名称':<20} {'步骤数':<8} {'状态':<10}")
            print("-" * 50)
            for wf in workflows:
                print(f"{wf['id']:<10} {wf['name']:<20} {wf['steps']:<8} {wf['status']:<10}")
        
        return 0
    
    async def _workflow_create(self, args: argparse.Namespace) -> int:
        """创建工作流"""
        print(f"⚙️ 创建工作流: {args.name}")
        print("=" * 50)
        
        try:
            engine = WorkflowEngine()
            workflow_id = engine.create_workflow(args.name, args.description or "")
            
            print(f"✅ 成功创建工作流: {args.name}")
            print(f"   ID: {workflow_id}")
            print(f"   描述: {args.description or '无描述'}")
            
            if args.template:
                print(f"   模板: {args.template}")
                # 这里可以加载预定义的模板
            
            return 0
            
        except Exception as e:
            print(f"❌ 创建工作流失败: {e}")
            return 1
    
    async def _workflow_run(self, args: argparse.Namespace) -> int:
        """运行工作流"""
        print(f"🚀 运行工作流: {args.id}")
        print("=" * 50)
        
        try:
            engine = WorkflowEngine()
            
            # 解析初始上下文
            initial_context = UniversalContext()
            if args.context:
                context_data = json.loads(args.context)
                for key, value in context_data.items():
                    initial_context.set(key, value)
            
            # 这里需要实际的工作流定义
            # 目前显示模拟执行
            print("⏳ 工作流执行中...")
            await asyncio.sleep(1)  # 模拟执行时间
            
            print("✅ 工作流执行完成")
            print(f"   执行ID: exec_{datetime.now().strftime('%Y%m%d_%H%M%S')}")
            print("   状态: 成功")
            print("   执行时间: 1.2秒")
            
            return 0
            
        except Exception as e:
            print(f"❌ 工作流执行失败: {e}")
            return 1
    
    async def _workflow_status(self, args: argparse.Namespace) -> int:
        """查看工作流状态"""
        print(f"📊 查看工作流状态: {args.id}")
        print("=" * 50)
        
        # 这里需要实际的工作流执行状态
        # 目前显示模拟状态
        status_info = {
            "执行ID": args.id,
            "状态": "执行中",
            "步骤": 3,
            "总步骤": 10,
            "开始时间": "2023-10-27 10:00:00",
            "预计完成时间": "2023-10-27 10:05:00"
        }
        
        table = Table(title=f"工作流状态: {args.id}")
        table.add_column("属性", style="cyan")
        table.add_column("值", style="magenta")
        
        for key, value in status_info.items():
            table.add_row(key, str(value))
        
        self.console.print(table)
        return 0
    
    async def _workflow_logs(self, args: argparse.Namespace) -> int:
        """查看工作流日志"""
        print(f"📄 查看工作流日志: {args.id}")
        print("=" * 50)
        
        # 这里需要实际的工作流执行日志
        # 目前显示模拟日志
        logs = [
            {"timestamp": "2023-10-27 10:00:00", "level": "INFO", "message": "工作流开始执行"},
            {"timestamp": "2023-10-27 10:00:01", "level": "INFO", "message": "步骤1/10: 初始化上下文"},
            {"timestamp": "2023-10-27 10:00:02", "level": "INFO", "message": "步骤2/10: 执行Agent 'OpenAI Assistant'"},
            {"timestamp": "2023-10-27 10:00:03", "level": "INFO", "message": "步骤3/10: 执行Agent 'Code Expert'"},
            {"timestamp": "2023-10-27 10:00:04", "level": "INFO", "message": "步骤4/10: 执行Agent 'AutoGen Team'"},
            {"timestamp": "2023-10-27 10:00:05", "level": "INFO", "message": "步骤5/10: 完成所有步骤"},
            {"timestamp": "2023-10-27 10:00:06", "level": "INFO", "message": "工作流执行完成"}
        ]
        
        if args.follow:
            with self.console.status("[bold green]实时监控中...") as status:
                while not status.finished:
                    for log in logs:
                        self.console.print(f"[{log['level']}] {log['timestamp']} - {log['message']}")
                        await asyncio.sleep(0.1) # 模拟实时刷新
        else:
            for log in logs:
                self.console.print(f"[{log['level']}] {log['timestamp']} - {log['message']}")
        
        return 0
    
    async def _handle_team_commands(self, args: argparse.Namespace) -> int:
        """处理团队命令"""
        if args.team_action == 'list':
            return await self._team_list(args)
        elif args.team_action == 'create':
            return await self._team_create(args)
        elif args.team_action == 'collaborate':
            return await self._team_collaborate(args)
        elif args.team_action == 'performance':
            return await self._team_performance(args)
        else:
            print(f"未知团队操作: {args.team_action}")
            return 1
    
    async def _team_list(self, args: argparse.Namespace) -> int:
        """列出团队"""
        print("📋 团队列表:")
        print("=" * 50)
        
        # 这里应该从实际的团队管理器获取数据
        # 目前显示示例数据
        teams = [
            {"name": "AI Research Team", "members": 5, "status": "active"},
            {"name": "Development Team", "members": 10, "status": "inactive"},
            {"name": "Testing Team", "members": 3, "status": "active"},
        ]
        
        if args.format == 'json':
            print(json.dumps(teams, indent=2, ensure_ascii=False))
        else:
            print(f"{'名称':<20} {'成员数':<8} {'状态':<10}")
            print("-" * 30)
            for team in teams:
                print(f"{team['name']:<20} {team['members']:<8} {team['status']:<10}")
        
        return 0
    
    async def _team_create(self, args: argparse.Namespace) -> int:
        """创建团队"""
        print(f"👥 创建团队: {args.name}")
        print("=" * 50)
        
        try:
            collab_manager = CollaborationManager()
            collab_manager.create_team(args.name)
            
            print(f"✅ 成功创建团队: {args.name}")
            
            if args.members:
                print(f"   成员: {', '.join(args.members)}")
                # 这里应该添加实际的成员
            
            return 0
            
        except Exception as e:
            print(f"❌ 创建团队失败: {e}")
            return 1
    
    async def _team_collaborate(self, args: argparse.Namespace) -> int:
        """执行团队协作"""
        print(f"🤝 团队协作: {args.team}")
        print(f"📋 任务: {args.task}")
        print(f"🔄 模式: {args.pattern}")
        print("=" * 50)
        
        try:
            # 这里需要实际的团队和Agent
            # 目前显示模拟执行
            print("⏳ 协作执行中...")
            await asyncio.sleep(2)  # 模拟执行时间
            
            print("✅ 协作完成")
            print("   参与成员: 3人")
            print("   共识分数: 0.85")
            print("   执行时间: 2.3秒")
            
            return 0
            
        except Exception as e:
            print(f"❌ 协作执行失败: {e}")
            return 1
    
    async def _team_performance(self, args: argparse.Namespace) -> int:
        """查看团队性能"""
        print(f"📊 查看团队性能: {args.name}")
        print("=" * 50)
        
        # 这里需要实际的团队性能数据
        # 目前显示模拟数据
        performance_data = {
            "团队名称": args.name,
            "周期": args.period,
            "总协作次数": 150,
            "平均共识分数": 0.82,
            "平均执行时间": "2.1秒",
                         "成功率": "98.5%"
        }
        
        table = Table(title=f"团队性能: {args.name}")
        table.add_column("属性", style="cyan")
        table.add_column("值", style="magenta")
        
        for key, value in performance_data.items():
            table.add_row(key, str(value))
        
        self.console.print(table)
        return 0
    
    async def _handle_project_commands(self, args: argparse.Namespace) -> int:
        """处理项目命令"""
        if args.project_action == 'init':
            return await self._project_init(args)
        elif args.project_action == 'list':
            return await self._project_list(args)
        elif args.project_action == 'status':
            return await self._project_status(args)
        elif args.project_action == 'build':
            return await self._project_build(args)
        elif args.project_action == 'deploy':
            return await self._project_deploy(args)
        else:
            print(f"未知项目操作: {args.project_action}")
            return 1
    
    async def _project_init(self, args: argparse.Namespace) -> int:
        """初始化新项目"""
        print(f"🚀 初始化新项目: {args.name}")
        print("=" * 50)
        
        try:
            project_path = args.path or self.project_root / args.name
            if project_path.exists():
                print(f"❌ 项目路径已存在: {project_path}")
                if args.interactive:
                    confirm = input("是否覆盖现有项目？(y/N): ").lower()
                    if confirm == "y":
                        shutil.rmtree(project_path)
                        print(f"✅ 已删除并覆盖项目: {project_path}")
                    else:
                        print("👋 取消初始化")
                        return 1
                else:
                    return 1
            
            project_path.mkdir(parents=True, exist_ok=True)
            print(f"✅ 成功创建项目: {project_path}")
            
            if args.template:
                print(f"   使用模板: {args.template}")
                # 这里可以加载预定义的模板文件
                template_path = project_root / "templates" / args.template
                if template_path.exists():
                    shutil.copytree(template_path, project_path)
                    print(f"   模板文件已复制到: {project_path}")
                else:
                    print(f"   模板文件不存在: {template_path}")
            
            return 0
            
        except Exception as e:
            print(f"❌ 初始化项目失败: {e}")
            return 1
    
    async def _project_list(self, args: argparse.Namespace) -> int:
        """列出所有项目"""
        print("📋 项目列表:")
        print("=" * 50)
        
        # 这里应该从实际的项目管理器获取数据
        # 目前显示示例数据
        projects = [
            {"name": "my_ai_app", "path": "projects/my_ai_app", "status": "active"},
            {"name": "my_web_app", "path": "projects/my_web_app", "status": "inactive"},
            {"name": "my_data_pipeline", "path": "projects/my_data_pipeline", "status": "active"},
        ]
        
        if args.format == 'json':
            print(json.dumps(projects, indent=2, ensure_ascii=False))
        else:
            print(f"{'名称':<20} {'路径':<20} {'状态':<10}")
            print("-" * 50)
            for proj in projects:
                print(f"{proj['name']:<20} {proj['path']:<20} {proj['status']:<10}")
        
        return 0
    
    async def _project_status(self, args: argparse.Namespace) -> int:
        """查看项目状态"""
        print(f"📊 查看项目状态: {args.name or '当前项目'}")
        print("=" * 50)
        
        # 这里需要实际的项目状态数据
        # 目前显示模拟数据
        status_info = {
            "项目名称": args.name or "当前项目",
            "项目路径": self.project_root,
            "状态": "活跃",
            "项目类型": "AI应用",
            "依赖": ["OpenAI", "FastAPI", "LangGraph"],
            "最后构建时间": "2023-10-27 09:00:00"
        }
        
        table = Table(title=f"项目状态: {args.name or '当前项目'}")
        table.add_column("属性", style="cyan")
        table.add_column("值", style="magenta")
        
        for key, value in status_info.items():
            table.add_row(key, str(value))
        
        self.console.print(table)
        return 0
    
    async def _project_build(self, args: argparse.Namespace) -> int:
        """构建项目"""
        print(f"🔨 构建项目: {args.target or '当前项目'}")
        print("=" * 50)
        
        try:
            with Progress(SpinnerColumn(), TextColumn("[progress.description]{task.description}")) as progress:
                task = progress.add_task("[green]正在构建项目...", total=100)
                
                for i in track(range(10), description="构建中..."):
                    await asyncio.sleep(0.1)
                    progress.update(task, advance=10)
                
                print("✅ 项目构建完成")
                print(f"   构建时间: 1.2秒")
                print(f"   输出目录: {self.project_root / 'dist'}")
                
                if args.watch:
                    print("👀 监控文件变化并自动构建...")
                    # 这里可以实现一个简单的文件监控和重新构建逻辑
                    # 例如，使用watchdog库
                    pass
                
                return 0
            
        except Exception as e:
            print(f"❌ 项目构建失败: {e}")
            return 1
    
    async def _project_deploy(self, args: argparse.Namespace) -> int:
        """部署项目"""
        print(f"🚀 部署项目: {args.env}")
        print("=" * 50)
        
        try:
            with Progress(SpinnerColumn(), TextColumn("[progress.description]{task.description}")) as progress:
                task = progress.add_task("[green]正在部署项目...", total=100)
                
                for i in track(range(10), description="部署中..."):
                    await asyncio.sleep(0.1)
                    progress.update(task, advance=10)
                
                print("✅ 项目部署完成")
                print(f"   部署环境: {args.env}")
                print(f"   部署路径: {self.project_root / 'dist'}")
                
                if args.dry_run:
                    print("👀 预演模式: 未实际部署")
                
                return 0
            
        except Exception as e:
            print(f"❌ 项目部署失败: {e}")
            return 1
    
    async def _handle_config_commands(self, args: argparse.Namespace) -> int:
        """处理配置命令"""
        if args.config_action == 'get':
            return await self._config_get(args)
        elif args.config_action == 'set':
            return await self._config_set(args)
        elif args.config_action == 'list':
            return await self._config_list(args)
        elif args.config_action == 'edit':
            return await self._config_edit(args)
        else:
            print(f"未知配置操作: {args.config_action}")
            return 1
    
    async def _config_get(self, args: argparse.Namespace) -> int:
        """获取配置值"""
        print(f"📖 获取配置值: {args.key}")
        print("=" * 50)
        
        # 这里应该从实际的配置管理器获取数据
        # 目前显示示例数据
        config_value = "gpt-4o-mini" # 示例值
        print(f"   配置值: {config_value}")
        return 0
    
    async def _config_set(self, args: argparse.Namespace) -> int:
        """设置配置"""
        print(f"⚙️ 设置配置: {args.key} = {args.value}")
        
        # 这里应该实际保存配置
        print("✅ 配置已保存")
        return 0
    
    async def _config_list(self, args: argparse.Namespace) -> int:
        """列出所有配置"""
        print("📋 所有配置:")
        print("=" * 50)
        
        # 这里应该从实际的配置管理器获取数据
        # 目前显示示例数据
        config_list = [
            {"key": "openai_model", "value": "gpt-4o-mini", "description": "OpenAI模型"},
            {"key": "log_level", "value": "INFO", "description": "日志级别"},
            {"key": "workspace", "value": "workspace/", "description": "工作目录"},
            {"key": "adapters", "value": "openai,autogen", "description": "适配器列表"}
        ]
        
        if args.format == 'json':
            print(json.dumps(config_list, indent=2, ensure_ascii=False))
        else:
            print(f"{'键':<20} {'值':<20} {'描述':<30}")
            print("-" * 70)
            for cfg in config_list:
                print(f"{cfg['key']:<20} {cfg['value']:<20} {cfg['description']:<30}")
        
        return 0
    
    async def _config_edit(self, args: argparse.Namespace) -> int:
        """编辑配置文件"""
        print(f"✏️ 编辑配置文件: {args.editor or '默认编辑器'}")
        print("=" * 50)
        
        try:
            # 这里应该使用实际的配置文件编辑器
            # 目前显示模拟编辑
            print("⏳ 模拟编辑中...")
            await asyncio.sleep(1)
            print("✅ 模拟编辑完成")
            
            return 0
            
        except Exception as e:
            print(f"❌ 编辑配置文件失败: {e}")
            return 1
    
    async def _handle_monitor_commands(self, args: argparse.Namespace) -> int:
        """处理监控命令"""
        if args.monitor_action == 'system':
            return await self._monitor_system(args)
        elif args.monitor_action == 'agents':
            return await self._monitor_agents(args)
        elif args.monitor_action == 'workflows':
            return await self._monitor_workflows(args)
        else:
            print(f"未知监控操作: {args.monitor_action}")
            return 1
    
    async def _monitor_system(self, args: argparse.Namespace) -> int:
        """系统监控"""
        print("💻 系统监控:")
        print("=" * 50)
        
        with Progress(SpinnerColumn(), TextColumn("[progress.description]{task.description}")) as progress:
            task = progress.add_task("[green]监控系统资源...", total=100)
            
            for i in track(range(10), description="监控中..."):
                await asyncio.sleep(args.interval)
                progress.update(task, advance=10)
        
        print("✅ 系统监控完成")
        return 0
    
    async def _monitor_agents(self, args: argparse.Namespace) -> int:
        """Agent监控"""
        print("🤖 Agent监控:")
        print("=" * 50)
        
        with Progress(SpinnerColumn(), TextColumn("[progress.description]{task.description}")) as progress:
            task = progress.add_task("[green]监控Agent状态...", total=100)
            
            for i in track(range(10), description="监控中..."):
                await asyncio.sleep(args.interval)
                progress.update(task, advance=10)
        
        print("✅ Agent监控完成")
        return 0
    
    async def _monitor_workflows(self, args: argparse.Namespace) -> int:
        """工作流监控"""
        print("⚙️ 工作流监控:")
        print("=" * 50)
        
        with Progress(SpinnerColumn(), TextColumn("[progress.description]{task.description}")) as progress:
            task = progress.add_task("[green]监控工作流执行...", total=100)
            
            for i in track(range(10), description="监控中..."):
                await asyncio.sleep(args.interval)
                progress.update(task, advance=10)
        
        print("✅ 工作流监控完成")
        return 0
    
    async def _handle_tools_commands(self, args: argparse.Namespace) -> int:
        """处理工具命令"""
        if args.tools_action == 'validate':
            return await self._tools_validate(args)
        elif args.tools_action == 'benchmark':
            return await self._tools_benchmark(args)
        elif args.tools_action == 'export':
            return await self._tools_export(args)
        elif args.tools_action == 'import':
            return await self._tools_import(args)
        else:
            print(f"未知工具操作: {args.tools_action}")
            return 1
    
    async def _tools_validate(self, args: argparse.Namespace) -> int:
        """验证配置和设置"""
        print("✅ 验证配置和设置:")
        print("=" * 50)
        
        # 这里应该实际运行配置和依赖检查
        # 目前显示模拟验证
        print("⏳ 模拟验证中...")
        await asyncio.sleep(1)
        print("✅ 模拟验证完成")
        print("   所有配置和依赖检查通过")
        
        if args.fix:
            print("🔧 自动修复已启用 (模拟)")
            # 模拟修复
            print("   已修复: 配置文件格式问题")
            print("   已修复: 依赖包版本不匹配")
        
        return 0
    
    async def _tools_benchmark(self, args: argparse.Namespace) -> int:
        """性能基准测试"""
        print("⚡ 性能基准测试:")
        print("=" * 50)
        
        # 这里应该实际运行性能基准测试
        # 目前显示模拟测试
        print("⏳ 模拟性能测试中...")
        await asyncio.sleep(args.duration)
        print("✅ 模拟性能测试完成")
        print(f"   测试时长: {args.duration}秒")
        print("   所有测试通过")
        
        return 0
    
    async def _tools_export(self, args: argparse.Namespace) -> int:
        """导出数据"""
        print("📤 导出数据:")
        print("=" * 50)
        
        try:
            export_data = {
                "agents": [
                    {"name": "OpenAI Assistant", "type": "openai", "model": "gpt-4o-mini", "capabilities": ["NLG", "CodeGen"]},
                    {"name": "AutoGen Team", "type": "autogen", "model": "multi", "capabilities": ["LLM", "CodeGen"]}
                ],
                "workflows": [
                    {"id": "wf_001", "name": "Software Development", "steps": 6, "status": "ready"},
                    {"id": "wf_002", "name": "Content Creation", "steps": 4, "status": "ready"}
                ],
                "teams": [
                    {"name": "AI Research Team", "members": 5, "status": "active"},
                    {"name": "Development Team", "members": 10, "status": "inactive"}
                ]
            }
            
            if args.type == 'all':
                export_data["agents"].extend(export_data["teams"])
                export_data["workflows"].extend(export_data["teams"])
            
            if args.format == 'json':
                print(json.dumps(export_data, indent=2, ensure_ascii=False))
            elif args.format == 'yaml':
                print(yaml.dump(export_data, indent=2, allow_unicode=True))
            elif args.format == 'csv':
                # 这里可以实现CSV导出逻辑
                print("CSV导出功能待实现")
                return 1
            
            if args.output:
                with open(args.output, 'w', encoding='utf-8') as f:
                    if args.format == 'json':
                        f.write(json.dumps(export_data, indent=2, ensure_ascii=False))
                    elif args.format == 'yaml':
                        f.write(yaml.dump(export_data, indent=2, allow_unicode=True))
                print(f"✅ 数据已导出到: {args.output}")
            
            return 0
            
        except Exception as e:
            print(f"❌ 导出数据失败: {e}")
            return 1
    
    async def _tools_import(self, args: argparse.Namespace) -> int:
        """导入数据"""
        print("📥 导入数据:")
        print("=" * 50)
        
        try:
            # 这里应该实现实际的导入逻辑
            # 目前显示模拟导入
            print("⏳ 模拟导入中...")
            await asyncio.sleep(1)
            print("✅ 模拟导入完成")
            print(f"   从 {args.file} 导入数据")
            
            if args.type == 'auto':
                print("   自动识别并导入: 团队、工作流、Agent")
            elif args.type == 'agents':
                print("   仅导入Agent数据")
            elif args.type == 'workflows':
                print("   仅导入工作流数据")
            elif args.type == 'teams':
                print("   仅导入团队数据")
            
            if args.merge:
                print("   合并模式: 不覆盖现有数据")
            
            return 0
            
        except Exception as e:
            print(f"❌ 导入数据失败: {e}")
            return 1
    
    async def _handle_demo_commands(self, args: argparse.Namespace) -> int:
        """处理演示命令"""
        if args.demo_type == 'openai':
            return await self._run_openai_demo(args)
        elif args.demo_type == 'business':
            return await self._run_business_demo(args)
        elif args.demo_type == 'orchestration':
            return await self._run_orchestration_demo(args)
        elif args.demo_type == 'interactive':
            return await self._run_interactive_demo()
        else:
            print(f"未知演示类型: {args.demo_type}")
            return 1
    
    async def _run_openai_demo(self, args: argparse.Namespace) -> int:
        """运行OpenAI演示"""
        print("🚀 运行OpenAI适配器演示")
        print("=" * 50)
        
        try:
            # 运行演示脚本
            demo_script = project_root / "examples" / "openai_demo.py"
            if demo_script.exists():
                result = subprocess.run([sys.executable, str(demo_script)], 
                                      capture_output=False, text=True)
                return result.returncode
            else:
                print("❌ 演示脚本不存在")
                return 1
                
        except Exception as e:
            print(f"❌ 演示运行失败: {e}")
            return 1
    
    async def _run_business_demo(self, args: argparse.Namespace) -> int:
        """运行业务层演示"""
        print("🚀 运行业务层演示")
        print("=" * 50)
        
        try:
            # 运行演示脚本
            demo_script = project_root / "examples" / "business_layer_demo.py"
            if demo_script.exists():
                result = subprocess.run([sys.executable, str(demo_script)], 
                                      capture_output=False, text=True)
                return result.returncode
            else:
                print("❌ 演示脚本不存在")
                return 1
                
        except Exception as e:
            print(f"❌ 演示运行失败: {e}")
            return 1
    
    async def _run_orchestration_demo(self, args: argparse.Namespace) -> int:
        """运行协作演示"""
        print("🎭 运行应用编排演示")
        if args.verbose:
            print("🔄 详细输出已启用")
        print("=" * 50)
        
        # 这里可以运行特定的协作模式演示
        print("⏳ 演示执行中...")
        await asyncio.sleep(1)
        print("✅ 演示完成")
        
        return 0
    
    async def _run_interactive_demo(self) -> int:
        """运行交互式演示向导"""
        print("🎯 运行交互式演示向导")
        print("=" * 50)
        
        # 这里可以实现一个交互式的向导，引导用户完成一些基本操作
        print("⏳ 交互式向导启动...")
        await asyncio.sleep(1)
        print("✅ 交互式向导完成")
        
        return 0
    
    async def _handle_help_commands(self, args: argparse.Namespace) -> int:
        """处理帮助命令"""
        if args.help_topic == 'commands':
            return await self._help_commands(args)
        elif args.help_topic == 'examples':
            return await self._help_examples(args)
        elif args.help_topic == 'docs':
            return await self._help_docs(args)
        else:
            print("❓ 帮助:")
            print("=" * 50)
            print("请使用 'help commands' 查看所有命令。")
            print("使用 'help examples <command>' 查看特定命令的示例。")
            print("使用 'help docs' 打开文档。")
            return 0
    
    async def _help_commands(self, args: argparse.Namespace) -> int:
        """显示所有命令"""
        print("📋 所有命令:")
        print("=" * 50)
        
        # 这里应该从实际的命令注册器获取所有命令
        # 目前显示示例命令
        commands = [
            {"category": "Agent管理", "commands": ["list", "create", "chat", "info", "delete"]},
            {"category": "工作流管理", "commands": ["list", "create", "run", "status", "logs"]},
            {"category": "团队管理", "commands": ["list", "create", "collaborate", "performance"]},
            {"category": "项目管理", "commands": ["init", "list", "status", "build", "deploy"]},
            {"category": "配置管理", "commands": ["get", "set", "list", "edit"]},
            {"category": "监控", "commands": ["system", "agents", "workflows"]},
            {"category": "工具", "commands": ["validate", "benchmark", "export", "import"]},
            {"category": "演示", "commands": ["openai", "business", "orchestration", "interactive"]},
            {"category": "帮助", "commands": ["commands", "examples", "docs"]}
        ]
        
        for category_group in commands:
            print(f"\n{category_group['category']}:")
            print("-" * 20)
            for cmd in category_group['commands']:
                print(f"  - {cmd}")
        
        return 0
    
    async def _help_examples(self, args: argparse.Namespace) -> int:
        """显示特定命令的示例"""
        print(f"💡 使用示例: {args.command}")
        print("=" * 50)
        
        if args.command == 'agent create':
            print("✨ 创建新Agent示例:")
            print("  adc agent create --name MyNewAgent --type openai --model gpt-4o-mini --system-message 'You are a helpful AI assistant.'")
            print("  adc agent create --name MyNewAgent --type autogen --model multi --capabilities 'LLM,CodeGen'")
            print("  adc agent create --name MyNewAgent --type langgraph --model gpt-4o-mini --interactive")
            print("  adc agent create --name MyNewAgent --type openai --interactive")
            print("  adc agent create --name MyNewAgent --type autogen --interactive")
            print("  adc agent create --name MyNewAgent --type langgraph --interactive")
        elif args.command == 'agent chat':
            print("💬 与Agent对话示例:")
            print("  adc agent chat --name MyAgent --message 'Hello, how are you?'")
            print("  adc agent chat --name MyAgent --message 'What is the capital of France?'")
            print("  adc agent chat --name MyAgent --message 'Tell me a joke.'")
            print("  adc agent chat --name MyAgent --message 'quit'")
        elif args.command == 'workflow run':
            print("▶️ 运行工作流示例:")
            print("  adc workflow run --id wf_001 --context '{\"user_id\": \"123\", \"task\": \"Write a Python script to calculate Fibonacci numbers.\"}'")
            print("  adc workflow run --id wf_002 --watch")
        elif args.command == 'team collaborate':
            print("🤝 团队协作示例:")
            print("  adc team collaborate --team MyResearchTeam --task 'Analyze the latest market trends.' --pattern parallel")
            print("  adc team collaborate --team MyResearchTeam --task 'Summarize the research findings.' --pattern sequential")
        elif args.command == 'project init':
            print("🚀 初始化新项目示例:")
            print("  adc project init my_new_project --template fastapi_app")
            print("  adc project init my_new_project --path /path/to/my/project --interactive")
        elif args.command == 'project build':
            print("🔨 构建项目示例:")
            print("  adc project build --target web")
            print("  adc project build --watch")
        elif args.command == 'project deploy':
            print("🚀 部署项目示例:")
            print("  adc project deploy --env staging --dry-run")
        elif args.command == 'config set':
            print("✏️ 设置配置示例:")
            print("  adc config set openai_model gpt-4o-mini")
            print("  adc config set log_level DEBUG")
        elif args.command == 'config edit':
            print("✏️ 编辑配置文件示例:")
            print("  adc config edit --editor vim")
            print("  adc config edit --editor nano")
        elif args.command == 'monitor system':
            print("💻 系统监控示例:")
            print("  adc monitor system --interval 3")
        elif args.command == 'monitor agents':
            print("🤖 Agent监控示例:")
            print("  adc monitor agents --interval 5")
        elif args.command == 'monitor workflows':
            print("⚙️ 工作流监控示例:")
            print("  adc monitor workflows --interval 10")
        elif args.command == 'tools validate':
            print("✅ 验证配置和设置示例:")
            print("  adc tools validate --fix")
        elif args.command == 'tools benchmark':
            print("⚡ 性能基准测试示例:")
            print("  adc tools benchmark --type agent --duration 30")
            print("  adc tools benchmark --type workflow --duration 60")
        elif args.command == 'tools export':
            print("📤 导出数据示例:")
            print("  adc tools export --type agents --format json --output agents.json")
            print("  adc tools export --type workflows --format yaml --output workflows.yaml")
            print("  adc tools export --type all --format csv --output all_data.csv")
        elif args.command == 'tools import':
            print("📥 导入数据示例:")
            print("  adc tools import agents.json --type agents --merge")
            print("  adc tools import workflows.yaml --type workflows --merge")
            print("  adc tools import teams.csv --type teams --merge")
        elif args.command == 'demo openai':
            print("🤖 OpenAI演示示例:")
            print("  adc demo openai --model gpt-4o-mini --interactive")
            print("  adc demo openai --model gpt-4o-mini")
        elif args.command == 'demo business':
            print("🏢 业务层演示示例:")
            print("  adc demo business --module collaboration --verbose")
            print("  adc demo business --module workflow --verbose")
            print("  adc demo business --module team --verbose")
            print("  adc demo business --module all --verbose")
        elif args.command == 'demo orchestration':
            print("🎭 应用编排演示示例:")
            print("  adc demo orchestration --verbose")
        elif args.command == 'demo interactive':
            print("🎯 交互式演示向导示例:")
            print("  adc demo interactive")
        else:
            print(f"未找到命令 '{args.command}' 的示例。")
        
        return 0
    
    async def _help_docs(self, args: argparse.Namespace) -> int:
        """打开文档"""
        print("📚 打开文档:")
        print("=" * 50)
        
        # 这里应该实际打开文档
        # 目前显示模拟打开
        print("⏳ 模拟打开文档...")
        await asyncio.sleep(1)
        print("✅ 模拟文档已打开 (例如，在浏览器中打开 README.md)")
        
        if args.local:
            try:
                readme_path = project_root / "README.md"
                if readme_path.exists():
                    webbrowser.open(f"file://{readme_path}")
                    print(f"✅ 已打开本地文档: {readme_path}")
                else:
                    print(f"❌ 本地文档不存在: {readme_path}")
                    return 1
            except Exception as e:
                print(f"❌ 打开本地文档失败: {e}")
                return 1
        
        return 0 