feat: 微服务架构拆分和前后端优化

后端:
- 拆分出 agent_service, runtime_service, trading_service, news_service
- Gateway 模块化拆分 (gateway_*.py)
- 添加 domains/ 领域层
- 新增 control_client, runtime_client
- 更新 start-dev.sh 支持 split 服务模式

前端:
- 完善 API 服务层 (newsApi, tradingApi)
- 更新 vite.config.js
- Explain 组件优化

测试:
- 添加多个服务 app 测试

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/tests/test_news_domain.py

@@ -0,0 +1,171 @@
+# -*- coding: utf-8 -*-
+"""Unit tests for the news domain helpers."""
+
+from backend.domains import news as news_domain
+
+
+class _FakeStore:
+    def __init__(self):
+        self.calls = []
+
+    def get_ticker_watermarks(self, symbol):
+        self.calls.append(("get_ticker_watermarks", symbol))
+        return {"symbol": symbol, "last_news_fetch": "2026-03-10"}
+
+    def get_news_items_enriched(self, ticker, start_date=None, end_date=None, trade_date=None, limit=100):
+        self.calls.append(("get_news_items_enriched", ticker, start_date, end_date, trade_date, limit))
+        target = trade_date or end_date
+        return [{"id": "n1", "ticker": ticker, "date": target, "trade_date": target}]
+
+    def get_news_timeline_enriched(self, ticker, start_date=None, end_date=None):
+        self.calls.append(("get_news_timeline_enriched", ticker, start_date, end_date))
+        return [{"date": end_date, "count": 1}]
+
+    def get_news_categories_enriched(self, ticker, start_date=None, end_date=None, limit=200):
+        self.calls.append(("get_news_categories_enriched", ticker, start_date, end_date, limit))
+        return {"macro": {"count": 1}}
+
+    def get_news_by_ids_enriched(self, ticker, article_ids):
+        self.calls.append(("get_news_by_ids_enriched", ticker, list(article_ids)))
+        return [{"id": article_ids[0], "ticker": ticker, "date": "2026-03-16"}]
+
+
+def test_news_rows_need_enrichment_detects_missing_fields():
+    assert news_domain.news_rows_need_enrichment([]) is True
+    assert news_domain.news_rows_need_enrichment([{"sentiment": "", "relevance": "", "key_discussion": ""}]) is True
+    assert news_domain.news_rows_need_enrichment([{"sentiment": "positive"}]) is False
+
+
+def test_ensure_news_fresh_triggers_incremental_refresh_when_watermark_is_stale(monkeypatch):
+    store = _FakeStore()
+    calls = []
+
+    monkeypatch.setattr(
+        news_domain,
+        "update_ticker_incremental",
+        lambda symbol, end_date=None, store=None: calls.append((symbol, end_date)),
+    )
+
+    payload = news_domain.ensure_news_fresh(store, ticker="AAPL", target_date="2026-03-16")
+
+    assert calls == [("AAPL", "2026-03-16")]
+    assert payload["target_date"] == "2026-03-16"
+    assert payload["refreshed"] is True
+
+
+def test_ensure_news_fresh_skips_refresh_when_watermark_is_current(monkeypatch):
+    store = _FakeStore()
+    calls = []
+
+    monkeypatch.setattr(
+        store,
+        "get_ticker_watermarks",
+        lambda symbol: {"symbol": symbol, "last_news_fetch": "2026-03-16"},
+    )
+    monkeypatch.setattr(
+        news_domain,
+        "update_ticker_incremental",
+        lambda symbol, end_date=None, store=None: calls.append((symbol, end_date)),
+    )
+
+    payload = news_domain.ensure_news_fresh(store, ticker="AAPL", target_date="2026-03-16")
+
+    assert calls == []
+    assert payload["refreshed"] is False
+
+
+def test_get_enriched_news_returns_rows_without_enrichment_when_present(monkeypatch):
+    store = _FakeStore()
+    monkeypatch.setattr(news_domain, "news_rows_need_enrichment", lambda rows: False)
+    monkeypatch.setattr(
+        news_domain,
+        "ensure_news_fresh",
+        lambda store, ticker, target_date=None: {
+            "ticker": ticker,
+            "target_date": target_date,
+            "last_news_fetch": target_date,
+            "refreshed": False,
+        },
+    )
+
+    payload = news_domain.get_enriched_news(
+        store,
+        ticker="AAPL",
+        start_date="2026-03-01",
+        end_date="2026-03-16",
+        limit=20,
+    )
+
+    assert payload["ticker"] == "AAPL"
+    assert payload["news"][0]["ticker"] == "AAPL"
+    assert payload["freshness"]["target_date"] is None or payload["freshness"]["target_date"] == "2026-03-16"
+    assert store.calls == [
+        ("get_news_items_enriched", "AAPL", "2026-03-01", "2026-03-16", None, 20)
+    ]
+
+
+def test_get_story_and_similar_days_delegate(monkeypatch):
+    store = _FakeStore()
+    monkeypatch.setattr(
+        news_domain,
+        "ensure_news_fresh",
+        lambda store, ticker, target_date=None: {
+            "ticker": ticker,
+            "target_date": target_date,
+            "last_news_fetch": target_date,
+            "refreshed": False,
+        },
+    )
+    monkeypatch.setattr(news_domain, "enrich_news_for_symbol", lambda *args, **kwargs: {"analyzed": 1})
+    monkeypatch.setattr(
+        news_domain,
+        "get_or_create_stock_story",
+        lambda store, symbol, as_of_date: {"symbol": symbol, "as_of_date": as_of_date, "story": "story"},
+    )
+    monkeypatch.setattr(
+        news_domain,
+        "find_similar_days",
+        lambda store, symbol, target_date, top_k: {"symbol": symbol, "target_date": target_date, "items": [{"score": 0.9}]},
+    )
+
+    story = news_domain.get_story_payload(store, ticker="AAPL", as_of_date="2026-03-16")
+    similar = news_domain.get_similar_days_payload(store, ticker="AAPL", date="2026-03-16", n_similar=8)
+
+    assert story["story"] == "story"
+    assert "freshness" in story
+    assert similar["items"][0]["score"] == 0.9
+    assert "freshness" in similar
+
+
+def test_get_range_explain_payload_uses_article_ids(monkeypatch):
+    store = _FakeStore()
+    monkeypatch.setattr(
+        news_domain,
+        "ensure_news_fresh",
+        lambda store, ticker, target_date=None: {
+            "ticker": ticker,
+            "target_date": target_date,
+            "last_news_fetch": target_date,
+            "refreshed": False,
+        },
+    )
+    monkeypatch.setattr(news_domain, "news_rows_need_enrichment", lambda rows: False)
+    monkeypatch.setattr(
+        news_domain,
+        "build_range_explanation",
+        lambda ticker, start_date, end_date, news_rows: {"ticker": ticker, "count": len(news_rows)},
+    )
+
+    payload = news_domain.get_range_explain_payload(
+        store,
+        ticker="AAPL",
+        start_date="2026-03-10",
+        end_date="2026-03-16",
+        article_ids=["news-9"],
+        limit=50,
+    )
+
+    assert payload["ticker"] == "AAPL"
+    assert payload["result"] == {"ticker": "AAPL", "count": 1}
+    assert "freshness" in payload
+    assert store.calls == [("get_news_by_ids_enriched", "AAPL", ["news-9"])]