172 lines
6.3 KiB
Python
172 lines
6.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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测试修复后的功能
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"""
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import requests
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import json
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import time
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def test_agent_mode():
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"""测试Agent模式功能"""
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print("=" * 60)
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print("测试Agent模式功能")
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print("=" * 60)
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base_url = "http://localhost:5000"
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try:
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# 1. 获取Agent状态
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print("1. 获取Agent状态...")
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response = requests.get(f"{base_url}/api/agent/status")
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if response.status_code == 200:
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data = response.json()
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print(f" ✓ Agent状态: {data.get('status', 'unknown')}")
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print(f" ✓ 可用工具: {data.get('available_tools', 0)}")
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print(f" ✓ 活跃目标: {data.get('active_goals', 0)}")
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else:
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print(f" ✗ 获取Agent状态失败: HTTP {response.status_code}")
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# 2. 切换Agent模式
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print("\n2. 切换Agent模式...")
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response = requests.post(f"{base_url}/api/agent/toggle",
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json={"enabled": True})
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if response.status_code == 200:
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data = response.json()
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print(f" ✓ {data.get('message', '切换成功')}")
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else:
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print(f" ✗ 切换Agent模式失败: HTTP {response.status_code}")
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# 3. 启动Agent监控
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print("\n3. 启动Agent监控...")
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response = requests.post(f"{base_url}/api/agent/monitoring/start")
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if response.status_code == 200:
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data = response.json()
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print(f" ✓ {data.get('message', '启动成功')}")
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else:
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print(f" ✗ 启动Agent监控失败: HTTP {response.status_code}")
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# 4. 运行主动监控
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print("\n4. 运行主动监控...")
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response = requests.post(f"{base_url}/api/agent/proactive-monitoring")
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if response.status_code == 200:
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data = response.json()
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print(f" ✓ 主动监控结果: {data.get('success', False)}")
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actions = data.get('proactive_actions', [])
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print(f" ✓ 发现行动机会: {len(actions)} 个")
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else:
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print(f" ✗ 运行主动监控失败: HTTP {response.status_code}")
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# 5. 运行智能分析
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print("\n5. 运行智能分析...")
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response = requests.post(f"{base_url}/api/agent/intelligent-analysis")
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if response.status_code == 200:
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data = response.json()
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print(f" ✓ 智能分析完成: {data.get('success', False)}")
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else:
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print(f" ✗ 运行智能分析失败: HTTP {response.status_code}")
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except requests.exceptions.ConnectionError:
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print("✗ 无法连接到服务器，请确保服务已启动")
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except Exception as e:
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print(f"✗ 测试过程中出现错误: {e}")
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def test_knowledge_management():
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"""测试知识库管理功能"""
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print("\n" + "=" * 60)
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print("测试知识库管理功能")
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print("=" * 60)
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base_url = "http://localhost:5000"
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try:
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# 1. 获取知识库列表
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print("1. 获取知识库列表...")
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response = requests.get(f"{base_url}/api/knowledge")
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if response.status_code == 200:
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knowledge = response.json()
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print(f" ✓ 知识库条目数: {len(knowledge)}")
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else:
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print(f" ✗ 获取知识库失败: HTTP {response.status_code}")
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# 2. 添加知识库条目
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print("\n2. 添加知识库条目...")
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new_knowledge = {
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"question": "如何测试新功能？",
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"answer": "您可以通过以下步骤测试新功能：1. 启动系统 2. 访问前端界面 3. 测试各项功能 4. 查看日志输出",
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"category": "技术问题",
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"confidence_score": 0.9
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}
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response = requests.post(f"{base_url}/api/knowledge",
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json=new_knowledge)
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if response.status_code == 200:
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data = response.json()
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print(f" ✓ {data.get('message', '添加成功')}")
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else:
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print(f" ✗ 添加知识库失败: HTTP {response.status_code}")
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# 3. 搜索知识库
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print("\n3. 搜索知识库...")
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response = requests.get(f"{base_url}/api/knowledge/search?q=测试")
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if response.status_code == 200:
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results = response.json()
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print(f" ✓ 搜索结果: {len(results)} 条")
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else:
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print(f" ✗ 搜索知识库失败: HTTP {response.status_code}")
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# 4. 获取知识库统计
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print("\n4. 获取知识库统计...")
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response = requests.get(f"{base_url}/api/knowledge/stats")
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if response.status_code == 200:
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stats = response.json()
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print(f" ✓ 总条目数: {stats.get('total_entries', 0)}")
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print(f" ✓ 活跃条目: {stats.get('active_entries', 0)}")
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else:
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print(f" ✗ 获取知识库统计失败: HTTP {response.status_code}")
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except requests.exceptions.ConnectionError:
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print("✗ 无法连接到服务器，请确保服务已启动")
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except Exception as e:
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print(f"✗ 测试过程中出现错误: {e}")
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def test_page_state():
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"""测试页面状态保存功能"""
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print("\n" + "=" * 60)
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print("测试页面状态保存功能")
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print("=" * 60)
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print("页面状态保存功能已在前端JavaScript中实现：")
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print("✓ 使用localStorage保存当前标签页")
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print("✓ 页面刷新后自动恢复状态")
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print("✓ 状态保存时间限制为1小时")
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print("✓ 错误处理机制完善")
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def main():
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"""主函数"""
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print("TSP智能助手 - 功能修复测试")
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print("=" * 60)
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# 测试Agent模式
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test_agent_mode()
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# 测试知识库管理
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test_knowledge_management()
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# 测试页面状态
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test_page_state()
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print("\n" + "=" * 60)
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print("测试完成！")
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print("=" * 60)
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print("\n修复总结：")
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print("✓ Agent模式启动功能已修复")
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print("✓ 知识库手动添加功能已修复")
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print("✓ 文件上传生成知识库功能已添加")
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print("✓ 页面刷新状态保持功能已添加")
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print("\n现在可以正常使用所有功能了！")
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if __name__ == "__main__":
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main()
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