feat(ai-writing): 检索类型加回「知识库检索」(直连内网 ES 接口)

弱模型常识别不了配置技能(deepseek-chat 等),恢复旧的"不用技能"检索路径
作为独立检索类型 knowledge_base:绕过技能编排,直接调
ai_writing.intranet_search_url 内网知识库 ES 接口(IntranetSearchProvider)
对检索词并发检索;未配地址 → 无素材 + skill_error 告警。

- researcher.py: material_source 归一保留 knowledge_base + 新增直连内网分支
- state.py: material_source 三值注释
- 前端 AIWritingForm/WritingFormContext/types: 下拉新增「知识库检索」
- tests/test_ai_writing_knowledge_base.py: 直连/未配/不编排技能 3 用例
- backend CLAUDE.md: 检索类型段更新为三值

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

offline-backend-20260512/backend/tests/test_ai_writing_knowledge_base.py

@@ -0,0 +1,105 @@
+"""researcher_node：检索类型 `knowledge_base`（知识库检索）= 直连内网 ES 接口。
+
+弱模型识别不了技能时用这条路：不编排任何技能、不跑通用 provider，
+直接调 ai_writing.intranet_search_url 内网知识库 ES 接口检索。
+"""
+from __future__ import annotations
+
+from types import SimpleNamespace
+
+import pytest
+
+from deerflow.agents.ai_writing.nodes import researcher as R
+from deerflow.agents.ai_writing.search.base import SearchResult
+
+
+class _FakeIntranet:
+    instances: list = []
+
+    def __init__(self, **kw):
+        self.errors = []
+        self.raw_responses = []
+        self.kw = kw
+        _FakeIntranet.instances.append(self)
+
+    async def search(self, query, max_results=5, **_):
+        return [SearchResult(
+            title=f"内网-{query}", content="内网正文", source="ES",
+            published_at="", url=f"http://es/{query}", source_type="intranet",
+        )]
+
+
+class _SkillProviderShouldNotRun:
+    """knowledge_base 模式不应触碰通用 provider —— 调到就让测试爆。"""
+    errors: list = []
+    raw_responses: list = []
+
+    async def search(self, query, max_results=5, **_):  # pragma: no cover - 不应被调用
+        raise AssertionError("knowledge_base 模式不应调用通用 provider / 技能检索")
+
+
+def _patch(monkeypatch, intranet_url="http://es/api"):
+    _FakeIntranet.instances = []
+    cfg = {
+        "max_materials": 20,
+        "intranet_search_url": intranet_url,
+        "intranet_knowledge_base": "samples",
+    }
+    monkeypatch.setattr(R, "get_ai_writing_config", lambda: cfg)
+    monkeypatch.setattr(R, "use_builtin_agent", lambda *_: False)
+    monkeypatch.setattr(R, "safe_get_stream_writer", lambda: (lambda *a, **k: None))
+    monkeypatch.setattr(R, "use_skill_search_agent", lambda: False)
+
+    async def fake_llm_json(*a, **k):
+        return {"keywords": ["特朗普竞选"]}
+
+    monkeypatch.setattr(R, "llm_json", fake_llm_json)
+    # knowledge_base 模式不该加载/编排技能，但仍打桩以防意外路径
+    monkeypatch.setattr(R, "_load_configured_skills",
+                        lambda: [SimpleNamespace(name="knowledge-search-v2", description="内网检索")])
+    monkeypatch.setattr(R, "get_search_provider", lambda _cfg: _SkillProviderShouldNotRun())
+    monkeypatch.setattr(
+        "deerflow.agents.ai_writing.search.intranet_stub.IntranetSearchProvider",
+        _FakeIntranet,
+    )
+
+
+def _state(material_source="knowledge_base"):
+    return {
+        "user_intent": "分析特朗普近期动向",
+        "article_type": "政治分析",
+        "target_audience": "普通读者",
+        "keyword_count": 1,
+        "material_source": material_source,
+    }
+
+
+@pytest.mark.asyncio
+async def test_knowledge_base_hits_intranet_directly(monkeypatch):
+    _patch(monkeypatch)
+    out = await R.researcher_node(_state(), {"configurable": {}})
+    mats = out["material_package"]["materials"]
+    assert mats, "知识库检索应返回内网素材"
+    assert all(m["source_type"] == "intranet" for m in mats)
+    assert mats[0]["title"] == "内网-特朗普竞选"
+    assert _FakeIntranet.instances, "应实例化 IntranetSearchProvider 直连内网接口"
+    # 走素材确认暂停点
+    assert out["status"] == "awaiting_material_confirm"
+
+
+@pytest.mark.asyncio
+async def test_knowledge_base_no_url_empty(monkeypatch):
+    """未配置内网接口地址：无素材，且不实例化 provider。"""
+    _patch(monkeypatch, intranet_url="")
+    out = await R.researcher_node(_state(), {"configurable": {}})
+    assert out["material_package"]["materials"] == []
+    assert _FakeIntranet.instances == [], "无地址时不应实例化内网 provider"
+
+
+@pytest.mark.asyncio
+async def test_knowledge_base_does_not_orchestrate_skills(monkeypatch):
+    """knowledge_base 不编排技能：通用 provider 一旦被调用就会 raise。"""
+    _patch(monkeypatch)
+    # 不抛异常即证明没走 _SkillProviderShouldNotRun
+    out = await R.researcher_node(_state(), {"configurable": {}})
+    assert out["material_package"]["materials"]