e093995368
主要改进: - Agent 增强: 订单查询、售后支持、客服路由等功能优化 - 新增语言检测和 Token 管理模块 - 改进 Chatwoot webhook 处理和用户标识 - MCP 服务器增强: 订单 MCP 和 Strapi MCP 功能扩展 - 新增商城客户端、知识库、缓存和同步模块 - 添加多语言提示词系统 (YAML) - 完善项目结构: 整理文档、脚本和测试文件 - 新增调试和测试工具脚本 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
"""
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测试退货相关 FAQ 回答
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"""
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import asyncio
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import sys
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import os
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# 添加 agent 目录到路径
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sys.path.insert(0, '/app')
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from agents.customer_service import customer_service_agent
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from core.state import AgentState
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async def test_return_faq():
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"""测试退货相关 FAQ"""
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# 测试问题列表
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test_questions = [
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"I received a defective item, what should I do?",
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"How do I return a product?",
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"What is your return policy?",
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"I want to get a refund for my order",
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]
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for question in test_questions:
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print(f"\n{'='*60}")
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print(f"📝 问题: {question}")
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print(f"{'='*60}")
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# 初始化状态
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state = AgentState(
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conversation_id="test_return_001",
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user_id="test_user",
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account_id="2",
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message=question,
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history=[],
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context={}
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)
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try:
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# 调用客服 Agent
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final_state = await customer_service_agent(state)
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# 获取响应
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response = final_state.get("response", "无响应")
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tool_calls = final_state.get("tool_calls", [])
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intent = final_state.get("intent")
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print(f"\n🎯 意图识别: {intent}")
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print(f"\n🤖 AI 回答:")
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print(response)
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print(f"\n📊 调用的工具: {tool_calls}")
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except Exception as e:
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print(f"\n❌ 错误: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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print("🧪 测试退货相关 FAQ 回答\n")
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asyncio.run(test_return_faq())
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