fix(agent): 增强 LLM 流式回复兜底

tests/test_llm_streaming.py

@@ -0,0 +1,41 @@
+import io
+from urllib import request
+
+import pytest
+
+from review_agent.llm import stream_reply
+from review_agent.models import Conversation
+
+
+pytestmark = pytest.mark.django_db
+
+
+class FakeStreamingResponse:
+    def __iter__(self):
+        return iter(
+            [
+                b'data: {"choices":[{"delta":{"content":"A"}}]}\n\n',
+                b"data: not-json\n\n",
+                b'data: {"choices":[{"delta":{"content":"B"}}]}\n\n',
+                b"data: [DONE]\n\n",
+            ]
+        )
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc, traceback):
+        return False
+
+
+def test_stream_reply_skips_malformed_sse_data(monkeypatch, settings, django_user_model):
+    settings.LLM_API_KEY = "key"
+    settings.LLM_MODEL = "model"
+    settings.LLM_BASE_URL = "https://example.test/v1"
+    monkeypatch.setattr(request, "urlopen", lambda req, timeout: FakeStreamingResponse())
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="会话")
+
+    chunks = list(stream_reply(conversation, "你好"))
+
+    assert chunks == ["A", "B"]