feat: 增加 AI Agent 自主诊断执行模式

tests/test_agent_api.py

@@ -0,0 +1,48 @@
+import asyncio
+import json
+import unittest
+from unittest.mock import patch
+
+import backend.main as main
+
+
+def parse_sse(event):
+    return json.loads(event[6:].strip())
+
+
+class AgentApiTest(unittest.TestCase):
+    def test_agent_stream_forwards_agent_events(self):
+        async def fake_agent(report, question="", max_steps=6, execution_mode="ai"):
+            self.assertEqual(execution_mode, "manual")
+            yield {"type": "thinking", "step": 1, "message": "规划"}
+            yield {"type": "final", "content": "完成"}
+
+        async def run():
+            main._last_diagnosis = {"score": 60}
+            main._last_report = "report"
+            with patch.object(main, "run_diagnostic_agent", fake_agent):
+                response = await main.agent_diagnose_stream(question="检查 Pod", execution_mode="manual")
+                return [parse_sse(event) async for event in response.body_iterator]
+
+        events = asyncio.run(run())
+        self.assertEqual(events[0]["type"], "start")
+        self.assertEqual(events[-1]["type"], "done")
+        self.assertEqual(events[-2]["type"], "final")
+
+    def test_execute_approved_command_once(self):
+        approval = {"command": "kubectl scale deployment/api --replicas=2", "reason": "恢复副本"}
+
+        async def fake_execute(command):
+            return {"command": command, "mode": "write", "returncode": 0, "stdout": "scaled", "stderr": ""}
+
+        async def run():
+            with patch.object(main, "take_pending_approval", return_value=approval), patch.object(main, "execute_kubectl", fake_execute):
+                return await main.execute_approved_agent_command(main.AgentApprovalRequest(approval_id="abc", approved=True))
+
+        result = asyncio.run(run())
+        self.assertEqual(result["returncode"], 0)
+        self.assertEqual(result["stdout"], "scaled")
+
+
+if __name__ == "__main__":
+    unittest.main()