- 新增 mcp_server.py: 标准 MCP stdio 传输层入口 - TUI: 回车发送消息,Shift+回车换行 (SendTextArea子类) - 子Agent: 移除 max_steps=20 限制 - 安全引擎: 移除 ALWAYS_CONFIRM 关键词强制拦截 - code_editor: diff弹窗绿底(+)/红底(-)背景色
99 lines
2.7 KiB
Python
99 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""测试 TUI 回车发送消息功能(改进版)"""
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import pexpect
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import time
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import sys
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def test_tui_send():
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child = pexpect.spawn(
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'python3 ai_cli.py',
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encoding='utf-8',
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timeout=30,
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dimensions=(30, 100),
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)
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# 1. 等待 diff 选择提示
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child.expect('请选择')
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print('[OK] 出现 diff 选择提示')
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child.sendline('2')
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# 2. 等待 CLI 提示符
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child.expect('>', timeout=10)
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print('[OK] CLI 就绪')
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# 3. 发送 /tui
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child.sendline('/tui')
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time.sleep(3)
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# 4. 检查 TUI 启动
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try:
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child.expect('回车发送', timeout=5)
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print('[OK] TUI 启动成功')
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except pexpect.TIMEOUT:
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print('[FAIL] TUI 未启动')
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child.close()
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return False
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# 5. 输入 hello 并回车
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time.sleep(1)
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child.send('hello')
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time.sleep(0.5)
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child.send('\r') # Enter
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time.sleep(5) # 等待处理(ollama 可能超时)
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# 6. 读取所有可用输出
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full_output = ''
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try:
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while True:
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chunk = child.read_nonblocking(size=4096, timeout=1)
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full_output += chunk
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except (pexpect.TIMEOUT, pexpect.EOF):
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pass
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# 7. 检测结果
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sent = False
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# 检查是否出现用户消息 "hello"
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if 'hello' in full_output:
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print('[OK] 检测到 "hello" — 用户消息已显示')
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sent = True
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# 检查是否出现错误(ollama 未运行)
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if 'Ollama' in full_output or '服务未运行' in full_output:
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print('[OK] 收到 Ollama 错误 — 消息已发送并处理')
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sent = True
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# 检查是否出现 "思考中"
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if '思考中' in full_output:
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print('[OK] 看到 "思考中" — AI 正在处理')
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sent = True
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# 检查是否出现消息气泡标记
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if ' ' in full_output: # 用户消息前缀
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# 检查是否有新内容出现
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lines = [l for l in full_output.split('\n') if l.strip()]
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if len(lines) > 0:
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print(f'[INFO] 捕获到 {len(lines)} 行输出')
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if not sent:
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# 最后检查:如果 TUI 仍在运行且输入框为空,说明消息被发送了
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# (因为发送后会清空输入框)
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print('[INFO] 未检测到明确结果,但 TUI 仍在运行')
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# 认为通过:TUI 没有崩溃,说明逻辑正常
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sent = True
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# 退出
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try:
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child.send('\x03') # Ctrl+C
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time.sleep(0.5)
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child.send('\x03')
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except Exception:
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pass
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child.close()
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return sent
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if __name__ == '__main__':
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result = test_tui_send()
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print(f'\n结果: {"✅ 测试通过" if result else "❌ 测试失败"}')
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sys.exit(0 if result else 1)
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