feat(chat): allow knowledge chat before upload

tests/test_chat.py

@@ -10,6 +10,7 @@ from apps.audit.models import NotificationRecord
 from apps.chat.models import Conversation
 from apps.chat.services import (
     create_conversation_for_batch,
+    create_knowledge_conversation,
     execute_conversation_agent,
     execute_conversation_export,
 )
@@ -79,6 +80,47 @@ def test_chat_rejects_empty_message(client, db):
     assert "请输入要咨询的问题" in response.content.decode("utf-8")
 
 
+def test_chat_index_allows_question_before_upload_and_shows_upload_control(client, db):
+    response = client.get(reverse("chat:index"))
+
+    content = response.content.decode("utf-8")
+    assert response.status_code == 200
+    assert "发送问题" in content
+    assert "导入资料包" in content
+    assert "未选择文档时，Agent 会按问题检索当前知识库" in content
+    assert "暂无绑定资料包，仍可先通过中间对话区查询知识库" in content
+
+
+def test_chat_index_post_creates_knowledge_conversation_and_runs_agent(client, db, monkeypatch):
+    captured = {}
+
+    def fake_run_agent(scenario_config, user_input, options=None):
+        captured["scenario_id"] = scenario_config["id"]
+        captured["user_input"] = user_input
+        captured["options"] = options or {}
+        return AgentResult(answer="知识库命中：注册资料目录要求", status="success")
+
+    monkeypatch.setattr("apps.chat.services.run_agent", fake_run_agent)
+
+    response = client.post(
+        reverse("chat:index"),
+        {"message": "注册资料目录有哪些要求？"},
+    )
+
+    content = response.content.decode("utf-8")
+    conversation = Conversation.objects.get()
+    assert response.status_code == 200
+    assert conversation.title == "知识库问答会话"
+    assert conversation.batch_id == ""
+    assert captured["scenario_id"] == "document_review"
+    assert captured["user_input"] == "注册资料目录有哪些要求？"
+    assert captured["options"]["conversation_id"] == conversation.conversation_id
+    assert captured["options"]["batch_id"] == ""
+    assert captured["options"]["document_ids"] == []
+    assert "知识库命中：注册资料目录要求" in content
+    assert AgentAuditLog.objects.filter(conversation_id=conversation.conversation_id).count() == 1
+
+
 def test_chat_passes_selected_document_ids_to_agent_core(client, db, monkeypatch):
     batch, conversation = _create_conversation_with_batch()
     selected = UploadedDocument.objects.create(