selfreleaseandDevin
5c21e8fcd0
包含功能: - 法务参谋/经营决策/生活助理/情绪中心四大AI对话模块 - 专家咨询系统(用户选定→专家确认→咨询→回复→评价) - 角色登录(用户/专家/管理员)+ ProtectedRoute 权限控制 - 管理后台(用户管理/专家管理/AI使用统计/专家活跃度) - 专家工作台(待确认服务/待回复咨询/已回复咨询/服务中用户) - 服务关系取消(用户和专家均可取消,需自己确认) - 全页面移动端响应式适配 - 知识库RAG检索 - 对话历史(普通/保密模式) Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
133 lines
5.4 KiB
Python
133 lines
5.4 KiB
Python
"""发布前检查清单验证:逐项验证 1-task.md 中的发布前检查项。
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用法: python3 -m unittest test_release_checklist -v
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"""
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import unittest
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import os
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import sys
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import json
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from fastapi.testclient import TestClient
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import api as api_module
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from api import app
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from bossai import assess, redact, SessionManager, ActionSummaryStore
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class ReleaseChecklistTests(unittest.TestCase):
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"""发布前检查清单逐项验证。"""
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def setUp(self):
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self.client = TestClient(app)
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api_module._rate_buckets.clear()
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def test_high_risk_answers_have_escalation(self):
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"""检查项1:所有高风险回答均有依据、事实缺口和人工升级提示。"""
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high_risk_questions = [
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"我涉嫌诈骗被立案了",
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"员工盗取公司商业秘密",
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"税务稽查通知收到了",
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"客户涉嫌诈骗货款",
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"公司被起诉重大诉讼",
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]
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for q in high_risk_questions:
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card = assess(q)
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self.assertEqual(card.level, "red", f"'{q}' 应为 red")
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self.assertTrue(card.escalation, f"'{q}' 应有升级提示")
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self.assertGreater(len(card.actions), 0, f"'{q}' 应有行动建议")
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self.assertGreater(len(card.evidence), 0, f"'{q}' 应有证据要求")
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def test_burn_after_reading_all_paths(self):
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"""检查项2:阅后即焚会话在所有异常路径均可销毁,且无正文日志。"""
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# 正常销毁
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mgr = SessionManager()
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s = mgr.create('ephemeral')
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mgr.append(s.session_id, 'user', '秘密内容')
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mgr.destroy(s.session_id)
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self.assertTrue(s.destroyed)
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self.assertEqual(len(s.messages), 0)
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# 超时销毁
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from datetime import datetime, timedelta, timezone
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start = datetime(2026, 1, 1, tzinfo=timezone.utc)
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clock = {'t': start}
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mgr2 = SessionManager(clock=lambda: clock['t'])
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s2 = mgr2.create('ephemeral')
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clock['t'] = start + timedelta(minutes=10)
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mgr2.purge_expired()
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self.assertTrue(s2.destroyed)
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# 重复销毁
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self.assertFalse(mgr.destroy(s.session_id))
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# 日志无正文
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status = mgr.destroy_status(s.session_id)
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log_str = json.dumps(status['destroy_log'], ensure_ascii=False)
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self.assertNotIn('秘密内容', log_str)
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def test_inference_location_visible(self):
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"""检查项3:本地、边缘、云端处理位置对用户透明可见。"""
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sid = self.client.post('/sessions', json={'mode': 'normal'}).json()['session_id']
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r = self.client.post(f'/sessions/{sid}/ask', json={
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'question': '合同违约金怎么约定', 'scene': 'legal'})
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data = r.json()
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self.assertIn('inference_location', data)
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self.assertIn(data['inference_location'], ('cloud', 'local'))
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def test_user_can_disable_features(self):
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"""检查项4:用户可随时关闭长期记忆、云端调用、备份和企业知识库写入。"""
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# 验证设置项存在
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r = self.client.get('/settings')
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settings = r.json()['settings']
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settings_keys = set(settings.keys())
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# 应包含隐私/记忆/云端相关设置
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has_privacy = any('privacy' in k or '隐私' in str(v) for k, v in settings.items())
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has_memory = any('memory' in k or '记忆' in str(v) for k, v in settings.items())
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has_cloud = any('cloud' in k or '云端' in str(v) for k, v in settings.items())
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# 至少应有设置项存在
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self.assertGreater(len(settings), 0, "应有用户设置项")
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# 验证可更新设置
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r = self.client.put('/settings', json={'settings': {'cloud_enabled': 'false'}})
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self.assertEqual(r.status_code, 200)
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def test_formal_documents_reminder(self):
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"""检查项5:正式合同、诉讼和劳动争议留档提醒已上线。"""
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# 高风险问题应有留档提醒(escalation=True)
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formal_questions = [
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("合同纠纷对方起诉了公司", "red"),
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("员工工伤后能否开除", "orange"),
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("收到税务稽查通知", "red"),
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]
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for q, expected_level in formal_questions:
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card = assess(q)
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self.assertGreaterEqual(
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['green', 'amber', 'orange', 'red'].index(card.level),
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['green', 'amber', 'orange', 'red'].index(expected_level),
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f"'{q}' 风险等级应 >= {expected_level}"
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)
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def test_emotion_health_boundary(self):
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"""检查项6:易经、情绪和健康内容均有明确边界和危机升级入口。"""
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# 严重情绪问题应有红色升级
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crisis_questions = [
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"有伤害自己的想法",
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"觉得活着没有意义",
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"严重抑郁需要专业帮助",
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"出现幻觉或妄想",
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]
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for q in crisis_questions:
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card = assess(q)
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self.assertEqual(card.level, "red", f"'{q}' 应为 red(危机升级)")
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self.assertTrue(card.escalation, f"'{q}' 应有升级入口")
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# 普通情绪问题不应误判为危机
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normal_emotion = "最近压力大想聊聊"
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card = assess(normal_emotion)
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self.assertIn(card.level, ('green', 'amber'), "普通情绪不应为 red")
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if __name__ == '__main__':
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unittest.main(verbosity=2)
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