feat: 新增工具插件、系统日志、workflow配置及前端优化

1. 新增工具插件(edit_file, python_executor, search_file, shell_executor, write_file) 2. 新增系统事件日志模块和API 3. 新增workflow配置文件和详情API 4. 前端增加SSE、错误边界、设置引导等组件 5. 优化认证加密、速率限制、配置加载等工具模块 6. 删除废弃的cluster和health API 7. 补充单元测试和集成测试 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-03 07:34:43 +00:00
parent f04fef916f
commit a53ffebe0e
57 changed files with 2804 additions and 271 deletions
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+"""组装层 / 端到端 smoke 测试。
+
+这一层补 ``tests/unit`` 的盲区：单测全是 mock 出来的纯逻辑，抓不到
+"import 错误 / 路由冲突 / 真实节点拓扑串联不上" 这类组装层 bug。
+
+设计原则：
+- **不依赖真 ray / 真 postgres**：sandbox 里 ``ray.init`` 有 psutil PID 问题，
+  真 postgres 要 docker。这里只验证"组件能正确组装 + 真实拓扑能端到端跑通"。
+- app 装配：用真实的 ``KiloStarGateway`` 内部 ``app``（触发所有 router import +
+  注册），打 health 探针。
+- workflow：用真实的 6 节点 graph 拓扑端到端跑，只 mock 最外层 IO（DB 写 / SSE /
+  执行器），不 mock 任何节点逻辑。
+"""
+
+from __future__ import annotations
+
+from unittest.mock import AsyncMock
+
+import pytest
+from httpx import ASGITransport, AsyncClient
+
+pytestmark = pytest.mark.integration
+
+
+# ─── 组装层：整个 FastAPI app 能 import + 路由注册无冲突 ────────────────────
+
+
+@pytest.mark.asyncio
+async def test_app_imports_and_health_live_ok():
+    """导入生产 ``app`` 不报错，且 /health/live 返回 alive。
+
+    这一步能抓到的真实 bug：任一 router 模块 import 失败、include_router
+    路由前缀撞车、middleware 装配异常——这些单测都看不到。
+    """
+    from kilostar.api import app
+
+    transport = ASGITransport(app=app, raise_app_exceptions=False)
+    async with AsyncClient(transport=transport, base_url="http://test") as client:
+        resp = await client.get("/health/live")
+
+    assert resp.status_code == 200
+    assert resp.json() == {"status": "alive"}
+
+
+@pytest.mark.asyncio
+async def test_app_route_table_has_expected_endpoints():
+    """关键路由都已注册（拓扑回归保护）。"""
+    from kilostar.api import app
+
+    paths = {getattr(r, "path", None) for r in app.router.routes}
+    assert "/health/live" in paths
+    assert "/health/ready" in paths
+    assert "/api/v1/workflow" in paths
+    # 阶段九/十 新增的 resume / graph 端点
+    assert "/api/v1/workflow/{trace_id}/resume" in paths
+    assert "/api/v1/workflow/{trace_id}/graph" in paths
+
+
+# ─── 端到端：真实 6 节点 graph 拓扑跑通 ────────────────────────────────────
+
+
+def _make_real_deps(skill_outputs, consciousness_outputs=None, replies=None):
+    """构造 WorkflowDeps：只 mock 最外层 IO，节点逻辑全用真实实现。"""
+    from kilostar.core.work.workflow.workflow_engine import WorkflowDeps
+
+    skill_q = list(skill_outputs or [])
+    consc_q = list(consciousness_outputs or [])
+    reply_q = list(replies or [])
+    sink = {"pending": [], "skill": [], "consc": []}
+
+    async def _get_received(tid):
+        return reply_q.pop(0) if reply_q else ""
+
+    async def _run_skill(step, state):
+        sink["skill"].append(step.get("name"))
+        return skill_q.pop(0) if skill_q else ("(none)", True)
+
+    async def _run_consciousness(step, state):
+        sink["consc"].append(step.get("name"))
+        return consc_q.pop(0) if consc_q else ("(none)", True)
+
+    deps = WorkflowDeps(
+        upsert_workflow_context=AsyncMock(),
+        update_workflow_status=AsyncMock(),
+        put_pending=AsyncMock(side_effect=lambda t, m: sink["pending"].append(m)),
+        get_received=_get_received,
+        run_skill=_run_skill,
+        run_consciousness=_run_consciousness,
+    )
+    return deps, sink
+
+
+@pytest.mark.asyncio
+async def test_end_to_end_mixed_workflow_runs_to_completion():
+    """混合 skill + consciousness + HITL 的多步 workflow 端到端跑通。
+
+    这是最贴近"真实一次 workflow"的 smoke：3 步分别走不同节点类型 + 一步
+    需要人工审批，全程用真实 Dispatch 派发逻辑。
+    """
+    from kilostar.core.work.workflow.workflow_engine import run_workflow_graph
+    from kilostar.core.work.workflow.model import WorkflowStatus
+
+    deps, sink = _make_real_deps(
+        skill_outputs=[("s-ok", True), ("s2-ok", True)],
+        consciousness_outputs=[("c-ok", True)],
+        replies=["approve"],
+    )
+    workflow_data = {
+        "work_link": [
+            {"step": 1, "name": "research", "action": "do",
+             "node": "skill_individual", "agent_id": "a1"},
+            {"step": 2, "name": "plan", "action": "do",
+             "node": "consciousness_node"},
+            {"step": 3, "name": "review", "action": "do",
+             "node": "skill_individual", "agent_id": "a1",
+             "require_approval": True},
+        ]
+    }
+
+    final = await run_workflow_graph(workflow_data, "smoke-mixed", deps=deps)
+
+    assert final == WorkflowStatus.COMPLETED.value
+    # 真实派发：skill 跑了 research + review（审批通过后），consciousness 跑了 plan
+    assert sink["skill"] == ["research", "review"]
+    assert sink["consc"] == ["plan"]
+    # 审批提示发过
+    assert any("人工审批" in m for m in sink["pending"])
+
+
+@pytest.mark.asyncio
+async def test_end_to_end_empty_workflow_completes_immediately():
+    """空 work_link 直接 COMPLETED（不卡死、不报错）。"""
+    from kilostar.core.work.workflow.workflow_engine import run_workflow_graph
+    from kilostar.core.work.workflow.model import WorkflowStatus
+
+    deps, _ = _make_real_deps(skill_outputs=[])
+    final = await run_workflow_graph({"work_link": []}, "smoke-empty", deps=deps)
+    assert final == WorkflowStatus.COMPLETED.value
+
+
+@pytest.mark.asyncio
+async def test_end_to_end_failed_step_aborts_workflow():
+    """某步执行失败 → 工作流终态 FAILED（真实 logic gate 行为）。"""
+    from kilostar.core.work.workflow.workflow_engine import run_workflow_graph
+    from kilostar.core.work.workflow.model import WorkflowStatus
+
+    deps, sink = _make_real_deps(skill_outputs=[("boom", False)])
+    workflow_data = {
+        "work_link": [
+            {"step": 1, "name": "will-fail", "action": "do",
+             "node": "skill_individual", "agent_id": "a1"},
+        ]
+    }
+    final = await run_workflow_graph(workflow_data, "smoke-fail", deps=deps)
+    assert final == WorkflowStatus.FAILED.value
+    assert sink["skill"] == ["will-fail"]