feat(sector_radar): enhance sector radar functionality with active moneyflow and detailed metrics

- Introduced ActiveMoneyflowSource to fetch optional active-order flow, enhancing the sector radar's data capabilities.
- Updated StockFactRecord and DailyAggregateRecord to include pct_change and active_buy_net_amount_yuan for improved financial insights.
- Modified the build process to incorporate active moneyflow data without invalidating main rankings on failure.
- Enhanced the HTTP API to return detailed sector history and metrics, including pct_change and active buy metrics for members.
- Updated tests to validate the new functionality and ensure data integrity across various scenarios.

zhixing-web/src/features/sector-radar/pages/sector-radar-page.test.tsx

@@ -12,6 +12,7 @@ import { SectorRadarPage } from "./sector-radar-page"
 const navigate = vi.hoisted(() => vi.fn())
 const useSectorRadarDates = vi.fn()
 const useSectorRadarRankings = vi.fn()
+const useSectorRadarHistory = vi.fn()
 const refetchDates = vi.fn()
 const refetchRankings = vi.fn()
 const fetchNextPage = vi.fn()
@@ -24,6 +25,7 @@ vi.mock("@tanstack/react-router", () => ({
 }))
 
 vi.mock("@/features/sector-radar/api/sector-radar.query", () => ({
+  useSectorRadarHistory: (...args: unknown[]) => useSectorRadarHistory(...args),
   useSectorRadarDates: () => useSectorRadarDates(),
   useSectorRadarRankings: (...args: unknown[]) =>
     useSectorRadarRankings(...args),
@@ -91,6 +93,11 @@ const rankingsResponse: RadarRankingsResponse = {
       rank_percentile: 100,
       rank_change_days: 1,
       rank_change: 3,
+      pct_change: -1.25,
+      daily_net_amount_yuan: 1250000000,
+      daily_ratio: -0.02,
+      on_list_count: 3,
+      history_available_days: 10,
     },
     {
       trade_date: "2026-08-28",
@@ -111,6 +118,11 @@ const rankingsResponse: RadarRankingsResponse = {
       rank_percentile: null,
       rank_change_days: 1,
       rank_change: null,
+      pct_change: null,
+      daily_net_amount_yuan: null,
+      daily_ratio: null,
+      on_list_count: null,
+      history_available_days: 0,
     },
   ],
 }
@@ -163,6 +175,11 @@ describe("SectorRadarPage", () => {
       refetch: refetchDates,
     })
     useSectorRadarRankings.mockReturnValue(rankingQueryResult())
+    useSectorRadarHistory.mockReturnValue({
+      isPending: false,
+      isError: false,
+      data: { status: "no_data" },
+    })
     navigate.mockReset()
     refetchDates.mockReset()
     refetchRankings.mockReset()
@@ -175,14 +192,21 @@ describe("SectorRadarPage", () => {
 
     expect(screen.getAllByText("+12.5 亿元")[0]).toBeInTheDocument()
     expect(screen.getAllByText("机器人")[0]).toBeInTheDocument()
-    expect(screen.getAllByText("19/20")[0]).toBeInTheDocument()
-    expect(screen.getAllByText("100%")[0]).toBeInTheDocument()
+    expect(screen.queryByText("19/20")).not.toBeInTheDocument()
+    expect(screen.queryByText("BK0001.DC")).not.toBeInTheDocument()
     expect(
-      screen.getAllByRole("columnheader", { name: "排名百分位" }),
+      screen.queryByRole("columnheader", { name: "排名百分位" }),
+    ).not.toBeInTheDocument()
+    expect(
+      screen.queryByRole("columnheader", { name: "样本" }),
+    ).not.toBeInTheDocument()
+    expect(
+      screen.getAllByRole("columnheader", { name: "涨跌幅" }),
     ).toHaveLength(2)
-    expect(screen.getAllByRole("columnheader", { name: "样本" })).toHaveLength(
-      2,
-    )
+    expect(
+      screen.getAllByRole("columnheader", { name: "单日流入率" }),
+    ).toHaveLength(2)
+    expect(screen.getAllByText("-2%")).toHaveLength(2)
     expect(
       screen.queryByRole("columnheader", { name: "资金覆盖率" }),
     ).not.toBeInTheDocument()
@@ -206,6 +230,66 @@ describe("SectorRadarPage", () => {
     ).not.toBeInTheDocument()
   })
 
+  it("mirrors ratio columns and expands only the selected sector history, resetting on date change", () => {
+    routeSearch = { ...routeSearch, view: "ratio" }
+    const ratioPage = {
+      ...rankingsResponse,
+      view: "ratio",
+      rows: rankingsResponse.rows.map((row) => ({
+        ...row,
+        unit: "ratio",
+        metric_value: -0.01,
+      })),
+    }
+    useSectorRadarRankings.mockReturnValue(
+      rankingQueryResult({ data: { pages: [ratioPage], pageParams: [1] } }),
+    )
+    const { rerender } = render(<SectorRadarPage />)
+    expect(screen.getAllByRole("columnheader", { name: "在榜" })).toHaveLength(
+      2,
+    )
+    expect(screen.getAllByText("-1%")).toHaveLength(4)
+    const trigger = screen.getAllByRole("button", {
+      name: "机器人展开在榜历史",
+    })[0]!
+    fireEvent.click(trigger)
+    expect(trigger).toHaveAttribute("aria-expanded", "true")
+    expect(useSectorRadarHistory).toHaveBeenLastCalledWith({
+      sectorType: "concept",
+      sectorCode: "BK0001.DC",
+      tradeDate: "2026-08-28",
+    })
+    expect(screen.getByText("暂无在榜历史数据。")).toBeInTheDocument()
+    fireEvent.click(trigger)
+    expect(screen.queryByText("暂无在榜历史数据。")).not.toBeInTheDocument()
+    fireEvent.click(trigger)
+    useSectorRadarRankings.mockReturnValue(
+      rankingQueryResult({
+        data: {
+          pages: [
+            {
+              ...ratioPage,
+              publication: {
+                ...successPublication,
+                publication_id: "next-day",
+              },
+              rows: ratioPage.rows.map((row) => ({
+                ...row,
+                trade_date: "2026-08-31",
+              })),
+            },
+          ],
+          pageParams: [1],
+        },
+      }),
+    )
+    rerender(<SectorRadarPage />)
+    expect(screen.queryByText("暂无在榜历史数据。")).not.toBeInTheDocument()
+    expect(
+      screen.getAllByRole("button", { name: "机器人展开在榜历史" })[0],
+    ).toHaveAttribute("aria-expanded", "false")
+  })
+
   it("resets filters to the first batch in router search state", () => {
     routeSearch = { ...routeSearch, page: 3 }
     render(<SectorRadarPage />)