feat(chat): 接入全局知识库上下文

tests/test_file_summary_workflow.py

@@ -201,17 +201,36 @@ def test_stream_message_returns_workflow_meta_when_triggered(settings, django_us
 def test_stream_message_uses_normal_llm_path_when_not_triggered(monkeypatch, django_user_model):
     user = django_user_model.objects.create_user(username="owner", password="pass")
     conversation = Conversation.objects.create(user=user, title="会话")
+    calls = []
 
-    def fake_stream_reply(conversation, content):
+    def fake_stream_reply(conversation, content, knowledge_context=""):
+        calls.append(knowledge_context)
         yield "普通回复"
 
     monkeypatch.setattr("review_agent.services.stream_reply", fake_stream_reply)
+    monkeypatch.setattr(
+        "review_agent.services.search_knowledge_base",
+        lambda query, n_results=3: {
+            "query": query,
+            "results": [
+                {
+                    "source": "用户知识库/1/2/孙之烨-260510.pdf",
+                    "text": "孙之烨负责审核智能体项目。",
+                    "score": 0.23,
+                }
+            ],
+            "error_message": "",
+        },
+    )
 
-    frames = list(stream_message(conversation, "你好"))
+    frames = list(stream_message(conversation, "孙之烨是谁"))
 
     joined = "".join(frames)
     assert "普通回复" in joined
     assert "workflow_started" not in joined
+    assert calls
+    assert "孙之烨负责审核智能体项目" in calls[0]
+    assert "用户知识库/1/2/孙之烨-260510.pdf" in calls[0]
 
 
 def test_stream_message_meta_uses_first_prompt_title_for_new_conversation(monkeypatch, django_user_model):
@@ -257,12 +276,15 @@ def test_stream_message_falls_back_to_non_stream_reply_when_stream_breaks(monkey
     user = django_user_model.objects.create_user(username="owner", password="pass")
     conversation = Conversation.objects.create(user=user, title="会话")
 
-    def broken_stream_reply(conversation, content):
+    def broken_stream_reply(conversation, content, knowledge_context=""):
         yield "已生成部分内容"
         raise RuntimeError("provider connection reset")
 
     monkeypatch.setattr("review_agent.services.stream_reply", broken_stream_reply)
-    monkeypatch.setattr("review_agent.services.generate_reply", lambda conversation, content: "非流式完整回复")
+    monkeypatch.setattr(
+        "review_agent.services.generate_reply",
+        lambda conversation, content, knowledge_context="": "非流式完整回复",
+    )
 
     frames = list(stream_message(conversation, "普通问题"))