QihuAI Design
d3d8d62b94
CI / gate (push) Has been cancelled
Real bug:
- capability_registry.resolve_auto_model and chat_media._build_media_route used
`Column.op("JSON_CONTAINS")(col, val)`, but SQLAlchemy's op() accepts only ONE
argument -> TypeError on every image/video/audio auto-route, silently failing
media generation (caught as "后台生成异常"). Replaced with func.json_contains().
Test reconciliation (no production behavior change):
- tests/test_context_engine.py: tiktoken upgrade made the hardcoded len//2 token
estimates wrong; relax to tokenizer-agnostic assertions and add
structured_memory=None to the _Summary mock (code now branches on it).
- tests/test_regression_r1r2r3.py: R3 FakeModel lacked `name` (code reads m.name);
also the assertion assumed a literal '超时' string, but the failover architecture
catches model-level exceptions and writes a user-understandable error marker
instead. Align the assertion to the real contract: a media failure/timeout must
be written back as a user-understandable error message, never left as '生成中…'.
CI gate: 28 backend pytest + 15 frontend vitest all green.
94 lines
4.2 KiB
Python
94 lines
4.2 KiB
Python
"""Phase 1 回归用例 R1/R2/R3 — 固化三个反复出现的问题（适配 chat.py 拆分后）。
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R1: 技能列表不得被硬性截断为 15 条（微信 Bot 曾只返回 15 个技能）。
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R2: 显式选中技能/MCP 时，system prompt 必须注入「最高优先级覆盖规则」。
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R3: 媒体生成（图像/视频）必须有超时保护，超时后回写用户可懂的提示而非永久挂起。
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Phase 1 已将 chat.py 巨石拆分为 chat_{utils,media,agents,skill,mcp,context,knowledge,service}.py，
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因此本文件采用「扫描整个 app/api 包」做源码契约守卫，并对行为级用例从正确的子模块导入。
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"""
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import asyncio
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import os
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import glob
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from unittest.mock import MagicMock
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import pytest
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_HERE = os.path.dirname(os.path.abspath(__file__))
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API_DIR = os.path.abspath(os.path.join(_HERE, "..", "app", "api"))
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def _read_api_package():
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parts = []
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for p in sorted(glob.glob(os.path.join(API_DIR, "chat*.py"))):
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with open(p, "r", encoding="utf-8") as f:
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parts.append(f.read())
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return "\n".join(parts)
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# ---------- R1 ----------
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def test_r1_skill_list_not_hard_capped_at_15():
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"""微信 Bot 技能列表曾因 limit(15) 只返回 15 个，必须防止回归。"""
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src = _read_api_package()
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assert "limit(15)" not in src, "检测到 limit(15)，技能列表可能被硬性截断"
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assert "LIMIT 15" not in src, "检测到 LIMIT 15，技能列表可能被硬性截断"
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# ---------- R2 ----------
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def test_r2_explicit_selection_override_rule_present():
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"""显式选中技能/MCP 时，system prompt 必须包含最高优先级覆盖规则。
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注：_build_system_prompt 已随 Phase 1 拆分迁入 chat_context.py，故扫描整个 api 包。
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"""
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src = _read_api_package()
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assert "最高优先级覆盖规则" in src, "显式选中工具的覆盖规则文本缺失"
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assert "只基于上文提供的该工具具体资料作答" in src, "覆盖规则应要求只基于已选工具资料作答"
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assert "平台知识库" in src and "不要引用" in src, "覆盖规则应明确禁止引用平台知识库通用描述"
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# ---------- R3 ----------
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@pytest.mark.asyncio
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async def test_r3_media_generation_timeout_returns_user_message(monkeypatch):
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"""媒体生成超时必须回写用户可懂的超时提示，而非让前端永远『生成中…』。
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_generate_media_task 位于 chat_media（经 _send_message_core 的 asyncio.create_task 调用），
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本身是 fire-and-forget、返回 None，超时保护体现在把提示回写到消息 content。
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"""
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from app.api import chat_media as media_mod
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class FakeModel:
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id = "m_test"
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name = "测试模型"
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capabilities = ["image"] # 图像 -> 90s 超时
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msg_mock = MagicMock() # 捕获被回写的消息对象
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fake_session = MagicMock()
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def _query_side_effect(model_cls):
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q = MagicMock()
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if model_cls is media_mod.AIModel:
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q.filter.return_value.first.return_value = FakeModel()
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elif model_cls is media_mod.Message:
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q.filter.return_value.first.return_value = msg_mock
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return q
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fake_session.query.side_effect = _query_side_effect
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monkeypatch.setattr(media_mod, "SessionLocal", lambda: fake_session)
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# 内部生成调用直接抛出 TimeoutError，等价模拟「生成耗时超过超时阈值」
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async def _hang(db, ai_model, prompt, user_id):
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raise asyncio.TimeoutError()
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monkeypatch.setattr(media_mod, "_generate_media", _hang)
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await media_mod._generate_media_task("msg1", "m_test", "画一只猫", "u1")
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# 副作用：消息 content 被回写为用户可懂的错误/超时提示
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assert msg_mock.content is not None, "媒体生成失败/超时后必须回写消息内容，不能让前端永远『生成中…』"
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# 架构保证：模型级异常被 _run_media_route 捕获并回写为用户可懂错误提示(含「异常」标记)，
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# 而非永久停在「⏳ 生成中…」。这里只校验「有可懂错误提示」这一核心契约。
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_content = str(msg_mock.content)
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assert any(k in _content for k in ("异常", "超时", "失败", "⚠️")), (
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f"媒体生成应回写用户可懂错误提示，实际: {_content!r}"
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)
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