feat: LLM 解耦 bot、RSS 外置与内容过滤

daily 自建 Cursor bridge；DAILY_LLM_PROVIDER 控制后端；config/feeds.yaml 与 sensitive_words 可配置。

Co-authored-by: Cursor <cursoragent@cursor.com>

tests/test_feeds_and_filter.py

@@ -0,0 +1,40 @@
+from __future__ import annotations
+
+import pytest
+
+
+def test_load_categories_from_yaml():
+    from daily.news.feeds_loader import load_categories
+
+    categories = load_categories("intl")
+    assert categories
+    assert any(cat.id == "official" for cat in categories)
+    assert categories[0].feeds
+
+
+def test_load_categories_fallback_when_yaml_missing(monkeypatch, tmp_path):
+    import daily.config as config
+    import daily.news.feeds_loader as loader
+
+    missing = tmp_path / "missing" / "feeds.yaml"
+    monkeypatch.setattr(loader, "_FEEDS_FILE", missing)
+    loader._yaml_payload.cache_clear()
+
+    categories = loader.load_categories("intl")
+    assert categories
+    assert any(cat.id == "official" for cat in categories)
+
+
+def test_content_filter_removes_matching_items(monkeypatch):
+    import daily.news.content_filter as cf
+
+    monkeypatch.setenv("DAILY_CONTENT_FILTER", "1")
+    cf.load_sensitive_words.cache_clear()
+    items = [
+        {"title": "正常 AI 新闻", "summary": "OpenAI 发布新模型"},
+        {"title": "违规推广", "summary": "六合彩内幕消息"},
+    ]
+    kept, removed = cf.filter_news_items(items)
+    assert removed == 1
+    assert len(kept) == 1
+    assert kept[0]["title"].startswith("正常")

tests/test_llm_client.py

@@ -0,0 +1,33 @@
+from __future__ import annotations
+
+import pytest
+
+
+def test_resolve_llm_backend_prefers_cursor_in_agent_mode(monkeypatch):
+    import daily.llm_client as llm
+
+    monkeypatch.setenv("DAILY_REPORT_MODE", "agent")
+    monkeypatch.setenv("CURSOR_API_KEY", "cursor_test")
+    monkeypatch.setenv("DAILY_LLM_API_KEY", "openai_test")
+    monkeypatch.delenv("DAILY_LLM_PROVIDER", raising=False)
+    assert llm.resolve_llm_backend() == "cursor"
+
+
+def test_resolve_llm_backend_openai_override(monkeypatch):
+    import daily.llm_client as llm
+
+    monkeypatch.setenv("DAILY_REPORT_MODE", "agent")
+    monkeypatch.setenv("DAILY_LLM_PROVIDER", "openai")
+    monkeypatch.setenv("CURSOR_API_KEY", "cursor_test")
+    monkeypatch.setenv("DAILY_LLM_API_KEY", "openai_test")
+    assert llm.resolve_llm_backend() == "openai"
+
+
+def test_resolve_llm_backend_classic_defaults_openai(monkeypatch):
+    import daily.llm_client as llm
+
+    monkeypatch.setenv("DAILY_REPORT_MODE", "classic")
+    monkeypatch.setenv("CURSOR_API_KEY", "cursor_test")
+    monkeypatch.setenv("DAILY_LLM_API_KEY", "openai_test")
+    monkeypatch.delenv("DAILY_LLM_PROVIDER", raising=False)
+    assert llm.resolve_llm_backend() == "openai"