Merge branch 'develop'

.trellis/tasks/09-05-selection-layout-sector-filter/check.jsonl

@@ -0,0 +1 @@
+{"_example": "Fill with {\"file\": \"<path>\", \"reason\": \"<why>\"}. Put spec/research files only — no code paths. Run `python3 .trellis/scripts/get_context.py --mode packages` to list available specs. Delete this line once real entries are added."}

.trellis/tasks/09-05-selection-layout-sector-filter/implement.jsonl

@@ -0,0 +1 @@
+{"_example": "Fill with {\"file\": \"<path>\", \"reason\": \"<why>\"}. Put spec/research files only — no code paths. Run `python3 .trellis/scripts/get_context.py --mode packages` to list available specs. Delete this line once real entries are added."}

.trellis/tasks/09-05-selection-layout-sector-filter/prd.md

@@ -0,0 +1,40 @@
+# 选股页面迭代：布局重构与板块筛选
+
+## 需求
+
+1. 选股页面从左右布局改为「上搜索栏 + 左列表 / 右详情」三段式布局。
+2. 搜索模块增加板块筛选：下拉选项为当次策略结果的板块聚合，选项旁展示数量，按数量倒序。
+
+## 关键决策
+
+- 板块口径：概念板块（sector_type=concept），与详情面板「板块」标签一致；接口保留 sector_type 参数可扩展行业。
+- 单选下拉；排序按 stock_count 倒序（后端保证），名称升序 tie-break。
+- 板块数据不在 selection 表中，按 ADR 0001 通过端口委托 sector_radar 读服务（不跨上下文 join SQL）。
+
+## 实现
+
+后端（zhixing-server）：
+- sector_radar：`domain/persistence.py` 新增 `SectorCountEntry` + 2 个协议方法；`infrastructure/postgres.py` / `infrastructure/memory.py` 实现 `load_sector_counts` / `load_sector_member_codes`；`application/read.py` 新增 `sector_counts` / `sector_member_codes`（先解析 last-good publication）。
+- selection：`domain/runs.py` 新增 `SelectionSectorReader` 端口、`SelectionSectorCount` / `SelectionSectorMembership` / `SelectionRunIdentity`，`SelectionResultQuery.sector`；`application/run.py` 新增 `list_sector_counts`，`get_run`/`get_latest` 经 identity → 成员代码 → `sector_stock_codes` 过滤；`infrastructure/postgres_runs.py` `_stock_filter` 支持 `ts_code = ANY(...)` / FALSE；`infrastructure/sector_membership.py` 桥接适配器；`presentation/http.py` 新增 `GET /sectors`，results/runs 增加 `sector` 参数。
+
+前端（zhixing-web）：
+- `selection.types.ts` / `selection.api.ts` / `selection.query.ts`：`SelectionSectors`、`getSelectionResultSectors`、`useSelectionResultSectors`，query key 加 sector，结果失效同时失效 sectors。
+- `route-tree.tsx`：selection 路由 search 增加 `sector`。
+- `selection-results-page.tsx`：结果查询带 sector，页面调用 sectors hook 并下传 workbench；切策略重置 sector。
+- `selection-results-workbench.tsx`：布局重构为上搜索栏 + 下方 320px 列表/详情两栏；板块下拉（全部板块 + 聚合选项带数量徽标）；聚合加载后自动清掉失效 sector。
+
+## 测试
+
+- 后端：`test_read.py` +8、`test_sector_filter.py` 新建 9 个、`test_selection_http.py` +5。
+- 前端：页面测试新增「filters by sector and shows per-sector counts」。
+
+## 验收
+
+- [x] 页面布局为上搜索栏 + 左列表右详情（移动端纵向堆叠 搜索→列表→详情）
+- [x] 板块下拉选项为当次策略结果的概念板块聚合，选项旁展示数量，按数量倒序
+- [x] 选择板块后结果列表服务端过滤，`筛选结果 N 只` 反映叠加计数
+- [x] 后端 ruff/pyright/pytest 与前端 lint/typecheck/test/build 门禁通过（遗留项均为基线原有）
+
+## 遗留（均为基线原有，非本次引入）
+
+- 后端 pyright 16 个错误（chart.py/gold_brick.py pandas 相关、test_run.py 旧 fake 类型）；前端 4 个执行状态抽屉测试失败；前端 format:check 有基线未格式化文件（.playwright-cli、sector-radar 部分文件、signal-detail-panel.tsx）。

.trellis/tasks/09-05-selection-layout-sector-filter/task.json

@@ -0,0 +1,26 @@
+{
+  "id": "selection-layout-sector-filter",
+  "name": "selection-layout-sector-filter",
+  "title": "选股页面迭代：布局重构与板块筛选",
+  "description": "",
+  "status": "planning",
+  "dev_type": null,
+  "scope": null,
+  "package": null,
+  "priority": "P2",
+  "creator": "yuxuanhui",
+  "assignee": "yuxuanhui",
+  "createdAt": "2026-09-05",
+  "completedAt": null,
+  "branch": null,
+  "base_branch": "main",
+  "worktree_path": null,
+  "commit": null,
+  "pr_url": null,
+  "subtasks": [],
+  "children": [],
+  "parent": null,
+  "relatedFiles": [],
+  "notes": "",
+  "meta": {}
+}

zhixing-server/src/zhixing_server/modules/sector_radar/application/read.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from collections.abc import Iterator
+from collections.abc import Iterator, Sequence
 from dataclasses import dataclass
 from datetime import date
 from enum import StrEnum
@@ -21,7 +21,11 @@ from ..domain.models import (
     RankSide,
     SectorType,
 )
-from ..domain.persistence import SectorRadarRepository, StockMembershipEntry
+from ..domain.persistence import (
+    SectorCountEntry,
+    SectorRadarRepository,
+    StockMembershipEntry,
+)
 from ..domain.ranking import select_percentile_side, select_rank_change_side
 
 ReadStatus = Literal["success", "no_data"]
@@ -148,6 +152,26 @@ class StockSectorMembership:
     concept_total: int
 
 
+@dataclass(frozen=True, slots=True)
+class SectorCountsSnapshot:
+    """Sector counts for a bounded stock set on one last-good snapshot date."""
+
+    status: ReadStatus
+    sector_type: SectorType
+    trade_date: date | None
+    counts: tuple[SectorCountEntry, ...] = ()
+
+
+@dataclass(frozen=True, slots=True)
+class SectorMembersSnapshot:
+    """One sector's member stock codes on one last-good snapshot date."""
+
+    status: ReadStatus
+    sector_type: SectorType
+    trade_date: date | None
+    stock_codes: tuple[str, ...] = ()
+
+
 _METRIC_DEFINITIONS = {
     MetricKind.AMOUNT: RadarMetricDefinition(
         metric_kind=MetricKind.AMOUNT,
@@ -290,6 +314,78 @@ class ReadSectorRadar:
             concept_total=len(concepts),
         )
 
+    def sector_counts(
+        self,
+        stock_codes: Sequence[str],
+        target_trade_date: date,
+        *,
+        sector_type: SectorType = SectorType.CONCEPT,
+    ) -> SectorCountsSnapshot:
+        """Count claimed stocks per sector from the strict last-good snapshot."""
+
+        if not stock_codes:
+            return SectorCountsSnapshot(
+                status="no_data",
+                sector_type=sector_type,
+                trade_date=None,
+                counts=(),
+            )
+        publication = self.repository.get_last_good_publication(target_trade_date)
+        if publication is None:
+            return SectorCountsSnapshot(
+                status="no_data",
+                sector_type=sector_type,
+                trade_date=None,
+                counts=(),
+            )
+        counts = tuple(
+            self.repository.load_sector_counts(
+                publication.target_trade_date,
+                stock_codes,
+                sector_type,
+            )
+        )
+        return SectorCountsSnapshot(
+            status="success",
+            sector_type=sector_type,
+            trade_date=publication.target_trade_date,
+            counts=counts,
+        )
+
+    def sector_member_codes(
+        self,
+        target_trade_date: date,
+        sector_code: str,
+        *,
+        sector_type: SectorType = SectorType.CONCEPT,
+    ) -> SectorMembersSnapshot:
+        """Return one sector's members from the strict last-good snapshot."""
+
+        normalized_code = sector_code.strip()
+        if not normalized_code:
+            raise ValueError("sector_code must not be empty")
+        publication = self.repository.get_last_good_publication(target_trade_date)
+        if publication is None:
+            return SectorMembersSnapshot(
+                status="no_data",
+                sector_type=sector_type,
+                trade_date=None,
+                stock_codes=(),
+            )
+        codes = tuple(
+            self.repository.load_sector_member_codes(
+                publication.target_trade_date,
+                normalized_code,
+                sector_type,
+            )
+        )
+        return SectorMembersSnapshot(
+            status="success",
+            sector_type=sector_type,
+            trade_date=publication.target_trade_date,
+            stock_codes=codes,
+        )
+
 
 def _sector_refs(entries: Iterator[StockMembershipEntry]) -> tuple[SectorRef, ...]:
     """Project membership entries into ordered public sector references."""
@@ -309,6 +405,8 @@ __all__ = [
     "RadarView",
     "RankingPage",
     "ReadSectorRadar",
+    "SectorCountsSnapshot",
+    "SectorMembersSnapshot",
     "SectorRef",
     "StockSectorMembership",
     "StockSectorQuery",

zhixing-server/src/zhixing_server/modules/sector_radar/domain/persistence.py

@@ -81,6 +81,23 @@ class StockMembershipEntry:
             raise ValueError("membership sector identity fields must not be empty")
 
 
+@dataclass(frozen=True, slots=True)
+class SectorCountEntry:
+    """One sector and the number of stocks it claimed on one snapshot date."""
+
+    sector_code: str
+    sector_name: str
+    stock_count: int
+
+    def __post_init__(self) -> None:
+        """Reject empty sector identity and non-positive counts."""
+
+        if not self.sector_code.strip() or not self.sector_name.strip():
+            raise ValueError("sector count identity fields must not be empty")
+        if self.stock_count < 1:
+            raise ValueError("sector stock_count must be positive")
+
+
 @dataclass(frozen=True, slots=True)
 class StockFactRecord:
     """One normalized stock fact revision with all contributing raw snapshots."""
@@ -217,6 +234,20 @@ class SectorRadarRepository(Protocol):
         self, trade_date: date, stock_code: str
     ) -> Sequence[StockMembershipEntry]: ...
 
+    def load_sector_counts(
+        self,
+        trade_date: date,
+        stock_codes: Sequence[str],
+        sector_type: SectorType,
+    ) -> Sequence[SectorCountEntry]: ...
+
+    def load_sector_member_codes(
+        self,
+        trade_date: date,
+        sector_code: str,
+        sector_type: SectorType,
+    ) -> Sequence[str]: ...
+
     def save_stock_facts(self, records: Iterable[StockFactRecord]) -> WriteCounts: ...
 
     def save_daily_aggregates(self, records: Iterable[DailyAggregateRecord]) -> WriteCounts: ...

zhixing-server/src/zhixing_server/modules/sector_radar/infrastructure/memory.py

@@ -7,13 +7,20 @@ from contextlib import contextmanager
 from dataclasses import replace
 from datetime import date, datetime
 
-from ..domain.models import PublicationStatus, RadarPublication, RankedMetric, SectorDailyAggregate
+from ..domain.models import (
+    PublicationStatus,
+    RadarPublication,
+    RankedMetric,
+    SectorDailyAggregate,
+    SectorType,
+)
 from ..domain.persistence import (
     DailyAggregateRecord,
     MembershipRecord,
     PublicationSourceGroup,
     PublicationSourceRecord,
     RankingRecord,
+    SectorCountEntry,
     StockFactRecord,
     StockMembershipEntry,
     WriteCounts,
@@ -137,6 +144,58 @@ class InMemorySectorRadarRepository:
             and record.status.value == "available"
         )
 
+    def load_sector_counts(
+        self,
+        trade_date: date,
+        stock_codes: Sequence[str],
+        sector_type: SectorType,
+    ) -> Sequence[SectorCountEntry]:
+        """Aggregate claimed-stock counts per sector on one snapshot date."""
+
+        wanted = set(stock_codes)
+        counts: dict[tuple[str, str], int] = {}
+        for record in self.memberships.values():
+            if (
+                record.trade_date == trade_date
+                and record.sector_type is sector_type
+                and record.status.value == "available"
+                and record.stock_code in wanted
+            ):
+                key = (record.sector_code, record.sector_name)
+                counts[key] = counts.get(key, 0) + 1
+        return tuple(
+            SectorCountEntry(
+                sector_code=sector_code,
+                sector_name=sector_name,
+                stock_count=stock_count,
+            )
+            for (sector_code, sector_name), stock_count in sorted(
+                counts.items(),
+                key=lambda item: (-item[1], item[0][0]),
+            )
+        )
+
+    def load_sector_member_codes(
+        self,
+        trade_date: date,
+        sector_code: str,
+        sector_type: SectorType,
+    ) -> Sequence[str]:
+        """Return available member stock codes of one sector on one date."""
+
+        return tuple(
+            record.stock_code
+            for record in sorted(
+                self.memberships.values(),
+                key=lambda item: item.stock_code or "",
+            )
+            if record.trade_date == trade_date
+            and record.sector_type is sector_type
+            and record.sector_code == sector_code
+            and record.status.value == "available"
+            and record.stock_code is not None
+        )
+
     def save_stock_facts(self, records: Iterable[StockFactRecord]) -> WriteCounts:
         """Insert normalized fact revisions idempotently."""
 

zhixing-server/src/zhixing_server/modules/sector_radar/infrastructure/postgres.py

@@ -30,6 +30,7 @@ from ..domain.persistence import (
     PublicationSourceGroup,
     PublicationSourceRecord,
     RankingRecord,
+    SectorCountEntry,
     StockFactRecord,
     StockMembershipEntry,
     WriteCounts,
@@ -310,6 +311,60 @@ class PostgresSectorRadarRepository:
             for row in rows
         )
 
+    def load_sector_counts(
+        self,
+        trade_date: date,
+        stock_codes: Sequence[str],
+        sector_type: SectorType,
+    ) -> Sequence[SectorCountEntry]:
+        """Aggregate how many of the given stocks each sector claimed on one date."""
+
+        if not stock_codes:
+            return ()
+        with self._connection() as connection:
+            rows = connection.execute(
+                """
+                SELECT sector_code, sector_name, COUNT(*) AS stock_count
+                FROM sector_radar_membership
+                WHERE trade_date = %s AND sector_type = %s
+                  AND membership_status = 'available'
+                  AND stock_code = ANY(%s)
+                GROUP BY sector_code, sector_name
+                ORDER BY stock_count DESC, sector_code
+                """,
+                (trade_date, sector_type.value, list(stock_codes)),
+            ).fetchall()
+        return tuple(
+            SectorCountEntry(
+                sector_code=row[0],
+                sector_name=row[1],
+                stock_count=int(row[2]),
+            )
+            for row in rows
+        )
+
+    def load_sector_member_codes(
+        self,
+        trade_date: date,
+        sector_code: str,
+        sector_type: SectorType,
+    ) -> Sequence[str]:
+        """Load every stock one sector claimed on exactly one snapshot date."""
+
+        with self._connection() as connection:
+            rows = connection.execute(
+                """
+                SELECT stock_code
+                FROM sector_radar_membership
+                WHERE trade_date = %s AND sector_type = %s
+                  AND sector_code = %s
+                  AND membership_status = 'available'
+                ORDER BY stock_code
+                """,
+                (trade_date, sector_type.value, sector_code),
+            ).fetchall()
+        return tuple(str(row[0]) for row in rows)
+
     def save_stock_facts(self, records: Iterable[StockFactRecord]) -> WriteCounts:
         """COPY normalized stock facts while preserving contributing source ids."""
 

zhixing-server/src/zhixing_server/modules/selection/application/run.py

@@ -7,7 +7,7 @@ import time
 from collections import Counter
 from collections.abc import Callable, Mapping, Sequence
 from concurrent.futures import ThreadPoolExecutor
-from dataclasses import dataclass
+from dataclasses import dataclass, replace
 from datetime import date
 from typing import Protocol, cast
 
@@ -29,6 +29,9 @@ from ..domain.runs import (
     SelectionRunItem,
     SelectionRunStatus,
     SelectionRunStore,
+    SelectionSectorCount,
+    SelectionSectorMembership,
+    SelectionSectorReader,
     SelectionStock,
     SelectionUniverseReader,
 )
@@ -60,6 +63,16 @@ class PreparedSelectionRun:
     source: SelectionExecutionSource
 
 
+@dataclass(frozen=True, slots=True)
+class SelectionSectorAggregates:
+    """A run summary plus its selected stocks' sector membership counts."""
+
+    run: SelectionRun | None
+    snapshot_trade_date: date | None
+    sector_type: str
+    sectors: tuple[SelectionSectorCount, ...]
+
+
 class RunZhixingB1:
     """Prepare, execute, and query persisted selection strategy batches.
 
@@ -75,6 +88,7 @@ class RunZhixingB1:
         evaluators: Mapping[StrategyName, SelectionEvaluator] | None = None,
         pattern_case_loader: PatternCaseLibraryLoader | None = None,
         pattern_scorer: PatternScorer | None = None,
+        sector_reader: SelectionSectorReader | None = None,
         *,
         pattern_scoring_enabled: bool = False,
         max_workers: int = 4,
@@ -96,6 +110,7 @@ class RunZhixingB1:
             self.evaluators.update(evaluators)
         self.pattern_case_loader = pattern_case_loader
         self.pattern_scorer = pattern_scorer
+        self.sector_reader = sector_reader
         self.pattern_scoring_enabled = pattern_scoring_enabled
         self.max_workers = max_workers
         self.batch_size = batch_size
@@ -211,8 +226,7 @@ class RunZhixingB1:
                     )
                     history_rows += batch_history_rows
                     batch_missing_turnover = sum(
-                        not _turnover_present(history, target_trade_date)
-                        for history in histories
+                        not _turnover_present(history, target_trade_date) for history in histories
                     )
                     logger.info(
                         "selection_read_batch_summary strategy=%s target_trade_date=%s "
@@ -581,9 +595,22 @@ class RunZhixingB1:
         *,
         query: SelectionResultQuery | None = None,
     ) -> SelectionRun | None:
-        """Read one persisted run for polling."""
+        """Read one persisted run for polling with optional sector filtering."""
 
+        effective = query or SelectionResultQuery()
+        if not effective.sector:
             return self.store.get_run(run_id, query=query)
+        identity = self.store.get_run_identity(run_id)
+        if identity is None:
+            return None
+        member_codes = self._sector_member_codes(identity.target_trade_date, effective.sector)
+        if member_codes is None:
+            return self.store.get_run(run_id, query=query)
+        return self.store.get_run(
+            run_id,
+            query=replace(effective, sector=None),
+            sector_stock_codes=member_codes,
+        )
 
     def get_latest(
         self,
@@ -594,7 +621,73 @@ class RunZhixingB1:
     ) -> SelectionRun | None:
         """Read the current result by date or the latest result for a strategy."""
 
+        effective = query or SelectionResultQuery()
+        if not effective.sector:
             return self.store.get_latest_run(strategy, target_trade_date, query=query)
+        identity = self.store.get_latest_run_identity(strategy, target_trade_date)
+        if identity is None:
+            return None
+        member_codes = self._sector_member_codes(identity.target_trade_date, effective.sector)
+        if member_codes is None:
+            return self.store.get_latest_run(strategy, target_trade_date, query=query)
+        return self.store.get_latest_run(
+            strategy,
+            identity.target_trade_date,
+            query=replace(effective, sector=None),
+            sector_stock_codes=member_codes,
+        )
+
+    def _sector_member_codes(
+        self,
+        target_trade_date: date,
+        sector_code: str,
+    ) -> tuple[str, ...] | None:
+        """Resolve one sector's members, or None when the port is absent."""
+
+        if self.sector_reader is None:
+            return None
+        return self.sector_reader.sector_member_codes(target_trade_date, sector_code)
+
+    def list_sector_counts(
+        self,
+        strategy: StrategyName,
+        target_trade_date: date | None = None,
+        *,
+        sector_type: str = "concept",
+    ) -> SelectionSectorAggregates | None:
+        """Aggregate the current run's selected stocks by point-in-time sector."""
+
+        run = self.store.get_latest_run(strategy, target_trade_date)
+        if run is None:
+            return None
+        selected_codes = [
+            item.ts_code
+            for item in run.items
+            if item.status == "selected" and item.signal_count > 0
+        ]
+        membership = self._sector_membership(selected_codes, run.target_trade_date, sector_type)
+        return SelectionSectorAggregates(
+            run=run,
+            snapshot_trade_date=membership.snapshot_trade_date,
+            sector_type=sector_type,
+            sectors=membership.sector_counts,
+        )
+
+    def _sector_membership(
+        self,
+        stock_codes: Sequence[str],
+        target_trade_date: date,
+        sector_type: str,
+    ) -> SelectionSectorMembership:
+        """Read sector counts for a stock set, tolerating a missing port."""
+
+        if self.sector_reader is None or not stock_codes:
+            return SelectionSectorMembership(snapshot_trade_date=None, sector_counts=())
+        return self.sector_reader.sector_counts(
+            stock_codes,
+            target_trade_date,
+            sector_type=sector_type,
+        )
 
 
 def _to_item(
@@ -676,4 +769,5 @@ __all__ = [
     "RunZhixingB1",
     "SelectionRerunRequired",
     "SelectionRunInProgress",
+    "SelectionSectorAggregates",
 ]

zhixing-server/src/zhixing_server/modules/selection/domain/gold_brick.py

@@ -19,9 +19,7 @@ from .zhixing_b1 import compute_signal_masks, prepare_zhixing_b1_indicators
 
 GOLD_BRICK_MINIMUM_HISTORY = 200
 GOLD_BRICK_TURNOVER_RATE_THRESHOLD = 0.99
-GOLD_BRICK_SIGNAL_ORDER: tuple[GoldBrickCategory, ...] = (
-    GoldBrickCategory.RESONANCE,
-)
+GOLD_BRICK_SIGNAL_ORDER: tuple[GoldBrickCategory, ...] = (GoldBrickCategory.RESONANCE,)
 
 
 def _safe_ratio(numerator: pd.Series, denominator: pd.Series) -> pd.Series:
@@ -90,9 +88,7 @@ def prepare_gold_brick_indicators(frame: pd.DataFrame, code: str) -> pd.DataFram
     )
     multiple_volume_bonus = pd.Series(
         np.where(
-            (close > open_price)
-            & (close > previous_close)
-            & (volume > previous_volume * 1.8),
+            (close > open_price) & (close > previous_close) & (volume > previous_volume * 1.8),
             multiple_volume_coefficient,
             1.0,
         ),
@@ -115,13 +111,9 @@ def prepare_gold_brick_indicators(frame: pd.DataFrame, code: str) -> pd.DataFram
     )
     result["j_momentum"] = j_momentum
     result["rsi_momentum"] = rsi_momentum
-    result["yellow_column"] = (
-        momentum_sum.div(2).mul(shadow_coefficient).mul(multiple_volume_bonus)
-    )
+    result["yellow_column"] = momentum_sum.div(2).mul(shadow_coefficient).mul(multiple_volume_bonus)
     x_condition = (
-        (close > open_price)
-        & (close > previous_close)
-        & (momentum_sum > previous_momentum_sum)
+        (close > open_price) & (close > previous_close) & (momentum_sum > previous_momentum_sum)
     )
     result["x_momentum"] = (
         momentum_sum.sub(previous_momentum_sum)
@@ -163,9 +155,8 @@ def prepare_gold_brick_indicators(frame: pd.DataFrame, code: str) -> pd.DataFram
         high - close,
         high - upper_shadow_floor,
     )
-    result["upper_shadow_condition"] = (
-        ((close >= open_price) | (close > previous_close))
-        & (result["upper_shadow_strength"] > 0.618)
+    result["upper_shadow_condition"] = ((close >= open_price) | (close > previous_close)) & (
+        result["upper_shadow_strength"] > 0.618
     )
 
     long = result["long_oscillator"]

zhixing-server/src/zhixing_server/modules/selection/domain/runs.py

@@ -31,6 +31,52 @@ class SelectionResultQuery:
     search: str | None = None
     category: SelectionSignalCategoryFilter | None = None
     sort: SelectionResultSort = "code"
+    sector: str | None = None
+
+
+@dataclass(frozen=True, slots=True)
+class SelectionSectorCount:
+    """One sector and the number of this run's selected stocks it contains."""
+
+    sector_code: str
+    sector_name: str
+    stock_count: int
+
+
+@dataclass(frozen=True, slots=True)
+class SelectionSectorMembership:
+    """Point-in-time sector membership aggregates for a set of stock codes."""
+
+    snapshot_trade_date: date | None
+    sector_counts: tuple[SelectionSectorCount, ...] = ()
+
+
+@dataclass(frozen=True, slots=True)
+class SelectionRunIdentity:
+    """Minimal run locator used to resolve date-dependent filters."""
+
+    run_id: str
+    target_trade_date: date
+
+
+class SelectionSectorReader(Protocol):
+    """Port to the sector-radar context's point-in-time membership reads."""
+
+    def sector_counts(
+        self,
+        stock_codes: Sequence[str],
+        target_trade_date: date,
+        *,
+        sector_type: str = "concept",
+    ) -> SelectionSectorMembership: ...
+
+    def sector_member_codes(
+        self,
+        target_trade_date: date,
+        sector_code: str,
+        *,
+        sector_type: str = "concept",
+    ) -> tuple[str, ...]: ...
 
 
 @dataclass(frozen=True, slots=True)
@@ -139,6 +185,7 @@ class SelectionRunStore(Protocol):
         run_id: str,
         *,
         query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
     ) -> SelectionRun | None: ...
 
     def get_latest_run(
@@ -147,8 +194,17 @@ class SelectionRunStore(Protocol):
         target_trade_date: date | None = None,
         *,
         query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
     ) -> SelectionRun | None: ...
 
+    def get_run_identity(self, run_id: str) -> SelectionRunIdentity | None: ...
+
+    def get_latest_run_identity(
+        self,
+        strategy: SelectionStrategyName,
+        target_trade_date: date | None = None,
+    ) -> SelectionRunIdentity | None: ...
+
 
 class SelectionUniverseReader(Protocol):
     """Read a qualified market-data source snapshot for one strategy run."""

zhixing-server/src/zhixing_server/modules/selection/infrastructure/postgres_runs.py

@@ -33,6 +33,7 @@ from ..domain.runs import (
     SelectionResultQuery,
     SelectionRun,
     SelectionRunError,
+    SelectionRunIdentity,
     SelectionRunInProgress,
     SelectionRunItem,
     SelectionRunStatus,
@@ -46,9 +47,7 @@ _SELECTION_SIGNAL_ORDER: tuple[SelectionSignalCategory, ...] = (
     *ZHIXING_B1_SIGNAL_ORDER,
     *GOLD_BRICK_SIGNAL_ORDER,
 )
-_SIGNAL_PRIORITY = {
-    category: index for index, category in enumerate(_SELECTION_SIGNAL_ORDER)
-}
+_SIGNAL_PRIORITY = {category: index for index, category in enumerate(_SELECTION_SIGNAL_ORDER)}
 _CATEGORY_PREFIXES = {
     "pullback": "zhixing_b1_pullback_",
     "oversold": "zhixing_b1_oversold_",
@@ -335,21 +334,41 @@ class PostgresSelectionRunRepository(SelectionRunStore):
         run_id: str,
         *,
         query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
     ) -> SelectionRun | None:
         """Read one run with filtered, stock-paged signals and item failures."""
 
         try:
             with self._connection() as connection:
-                return self._load_run(connection, run_id, query or SelectionResultQuery())
+                return self._load_run(
+                    connection,
+                    run_id,
+                    query or SelectionResultQuery(),
+                    sector_stock_codes=sector_stock_codes,
+                )
         except psycopg.Error as exc:
             raise SelectionRunStoreError(f"failed to load selection run {run_id}") from exc
 
+    def get_run_identity(self, run_id: str) -> SelectionRunIdentity | None:
+        """Read only a run's locator so date-dependent filters resolve first."""
+
+        try:
+            with self._connection() as connection:
+                row = connection.execute(
+                    "SELECT id, target_trade_date FROM selection_run WHERE id = %s",
+                    (run_id,),
+                ).fetchone()
+        except psycopg.Error as exc:
+            raise SelectionRunStoreError(f"failed to load selection run {run_id}") from exc
+        return SelectionRunIdentity(run_id=str(row[0]), target_trade_date=row[1]) if row else None
+
     def get_latest_run(
         self,
         strategy: SelectionStrategyName,
         target_trade_date: date | None = None,
         *,
         query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
     ) -> SelectionRun | None:
         """Read the current run for a date or the latest date for a strategy."""
 
@@ -377,18 +396,59 @@ class PostgresSelectionRunRepository(SelectionRunStore):
                         (strategy, target_trade_date),
                     ).fetchone()
                 return (
-                    self._load_run(connection, str(row[0]), query or SelectionResultQuery())
+                    self._load_run(
+                        connection,
+                        str(row[0]),
+                        query or SelectionResultQuery(),
+                        sector_stock_codes=sector_stock_codes,
+                    )
                     if row
                     else None
                 )
         except psycopg.Error as exc:
             raise SelectionRunStoreError("failed to load latest selection run") from exc
 
+    def get_latest_run_identity(
+        self,
+        strategy: SelectionStrategyName,
+        target_trade_date: date | None = None,
+    ) -> SelectionRunIdentity | None:
+        """Read only the current run's locator so sector filters resolve first."""
+
+        try:
+            with self._connection() as connection:
+                if target_trade_date is None:
+                    row = connection.execute(
+                        """
+                        SELECT id, target_trade_date
+                        FROM selection_run
+                        WHERE strategy = %s
+                        ORDER BY target_trade_date DESC, created_at DESC, id DESC
+                        LIMIT 1
+                        """,
+                        (strategy,),
+                    ).fetchone()
+                else:
+                    row = connection.execute(
+                        """
+                        SELECT id, target_trade_date
+                        FROM selection_run
+                        WHERE strategy = %s AND target_trade_date = %s
+                        LIMIT 1
+                        """,
+                        (strategy, target_trade_date),
+                    ).fetchone()
+        except psycopg.Error as exc:
+            raise SelectionRunStoreError("failed to load latest selection run") from exc
+        return SelectionRunIdentity(run_id=str(row[0]), target_trade_date=row[1]) if row else None
+
     @staticmethod
     def _load_run(
         connection: Any,
         run_id: str,
         query: SelectionResultQuery,
+        *,
+        sector_stock_codes: Sequence[str] | None = None,
     ) -> SelectionRun | None:
         row = connection.execute(
             """
@@ -417,7 +477,9 @@ class PostgresSelectionRunRepository(SelectionRunStore):
             """,
             (run_id,),
         ).fetchall()
-        stock_filter, stock_parameters = _stock_filter(query, run_id)
+        stock_filter, stock_parameters = _stock_filter(
+            query, run_id, sector_stock_codes=sector_stock_codes
+        )
         stock_total_row = connection.execute(
             f"SELECT COUNT(*) FROM selection_run_item AS item WHERE {stock_filter}",
             tuple(stock_parameters),
@@ -568,12 +630,19 @@ def _signal_category(value: str) -> SelectionSignalCategory:
         return GoldBrickCategory(value)
 
 
-def _stock_filter(query: SelectionResultQuery, run_id: str) -> tuple[str, list[object]]:
+def _stock_filter(
+    query: SelectionResultQuery,
+    run_id: str,
+    *,
+    sector_stock_codes: Sequence[str] | None = None,
+) -> tuple[str, list[object]]:
     """Build the signal predicate used to select distinct matching stocks.
 
     A category narrows which stocks qualify for the page. Once a stock
     qualifies, the repository loads every signal for that stock so callers
-    can present all independently persisted categories together.
+    can present all independently persisted categories together. Resolved
+    sector membership codes arrive from the sector-radar port, so the SQL
+    stays inside the selection context.
     """
 
     clauses = ["item.run_id = %s", "item.status = 'selected'", "item.signal_count > 0"]
@@ -592,6 +661,12 @@ def _stock_filter(query: SelectionResultQuery, run_id: str) -> tuple[str, list[o
             ")"
         )
         parameters.append(f"{_CATEGORY_PREFIXES[query.category]}%")
+    if sector_stock_codes is not None:
+        if not sector_stock_codes:
+            clauses.append("FALSE")
+        else:
+            clauses.append("item.ts_code = ANY(%s)")
+            parameters.append(list(sector_stock_codes))
     return " AND ".join(clauses), parameters
 
 

zhixing-server/src/zhixing_server/modules/selection/infrastructure/sector_membership.py

@@ -0,0 +1,84 @@
+"""Bridge the selection sector-filter port to the sector-radar read model.
+
+The selection context owns no sector-membership storage. This adapter keeps
+the port contract local to selection while delegating point-in-time reads to
+the sector-radar application service in the composition root.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from datetime import date
+
+from zhixing_server.modules.sector_radar.application.read import ReadSectorRadar
+from zhixing_server.modules.sector_radar.domain.models import SectorType
+from zhixing_server.modules.selection.domain.runs import (
+    SelectionSectorCount,
+    SelectionSectorMembership,
+)
+
+SELECTION_SECTOR_TYPES: dict[str, SectorType] = {
+    "concept": SectorType.CONCEPT,
+    "industry": SectorType.INDUSTRY,
+}
+
+
+def _sector_type(value: str) -> SectorType:
+    """Map the public sector-type vocabulary onto the radar domain enum."""
+
+    try:
+        return SELECTION_SECTOR_TYPES[value]
+    except KeyError:
+        raise ValueError(f"unsupported sector type: {value}") from None
+
+
+class SectorRadarSelectionReader:
+    """Resolve selection sector aggregates through the sector-radar context."""
+
+    def __init__(self, reader: ReadSectorRadar) -> None:
+        self._reader = reader
+
+    def sector_counts(
+        self,
+        stock_codes: Sequence[str],
+        target_trade_date: date,
+        *,
+        sector_type: str = "concept",
+    ) -> SelectionSectorMembership:
+        """Return per-sector stock counts for one run's selected stocks."""
+
+        snapshot = self._reader.sector_counts(
+            stock_codes,
+            target_trade_date,
+            sector_type=_sector_type(sector_type),
+        )
+        return SelectionSectorMembership(
+            snapshot_trade_date=snapshot.trade_date,
+            sector_counts=tuple(
+                SelectionSectorCount(
+                    sector_code=entry.sector_code,
+                    sector_name=entry.sector_name,
+                    stock_count=entry.stock_count,
+                )
+                for entry in snapshot.counts
+            ),
+        )
+
+    def sector_member_codes(
+        self,
+        target_trade_date: date,
+        sector_code: str,
+        *,
+        sector_type: str = "concept",
+    ) -> tuple[str, ...]:
+        """Return one sector's member stock codes on the aligned snapshot."""
+
+        snapshot = self._reader.sector_member_codes(
+            target_trade_date,
+            sector_code,
+            sector_type=_sector_type(sector_type),
+        )
+        return snapshot.stock_codes
+
+
+__all__ = ["SELECTION_SECTOR_TYPES", "SectorRadarSelectionReader"]

zhixing-server/src/zhixing_server/modules/selection/presentation/http.py

@@ -9,6 +9,7 @@ from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query, s
 from pydantic import BaseModel, Field
 
 from zhixing_server.bootstrap.config import Settings, get_settings
+from zhixing_server.modules.sector_radar.presentation.http import get_sector_radar_reader
 from zhixing_server.modules.selection.application.chart import (
     GetSelectionChart,
     SelectionChart,
@@ -46,6 +47,9 @@ from zhixing_server.modules.selection.infrastructure.postgres_reader import (
 from zhixing_server.modules.selection.infrastructure.postgres_runs import (
     PostgresSelectionRunRepository,
 )
+from zhixing_server.modules.selection.infrastructure.sector_membership import (
+    SectorRadarSelectionReader,
+)
 
 selection_router = APIRouter()
 _SELECTION_POOL_CACHE_LOCK = threading.Lock()
@@ -212,6 +216,32 @@ class SelectionResultsResponse(BaseModel):
     stocks: list[SelectionStockResponse] = Field(default_factory=_empty_stocks)
 
 
+class SelectionSectorCountResponse(BaseModel):
+    """One sector and the number of this run's selected stocks it contains."""
+
+    sector_code: str
+    sector_name: str
+    stock_count: int = Field(ge=0)
+
+
+def _empty_sectors() -> list[SelectionSectorCountResponse]:
+    """Create a typed default sector-aggregate list."""
+
+    return []
+
+
+class SelectionSectorsResponse(BaseModel):
+    """The current run's selected stocks aggregated by point-in-time sector."""
+
+    strategy: StrategyValue
+    target_trade_date: date | None
+    run_id: str | None
+    status: SelectionStatusValue
+    snapshot_trade_date: date | None
+    sector_type: Literal["concept", "industry"]
+    sectors: list[SelectionSectorCountResponse] = Field(default_factory=_empty_sectors)
+
+
 def get_selection_service(
     settings: Annotated[Settings, Depends(get_settings)],
 ) -> RunZhixingB1:
@@ -221,12 +251,14 @@ def get_selection_service(
     reader = PostgresMarketDataReader(settings, pool=pool)
     pattern_case_loader = PostgresPatternCaseLibraryLoader(settings, pool=pool)
     store = PostgresSelectionRunRepository(settings.database_url, pool=pool)
+    sector_reader = SectorRadarSelectionReader(get_sector_radar_reader(settings))
     return RunZhixingB1(
         reader,
         store,
         evaluators={"gold_brick": EvaluateGoldBrick(reader)},
         pattern_case_loader=pattern_case_loader,
         pattern_scorer=ZhixingB1PatternScorer(),
+        sector_reader=sector_reader,
         pattern_scoring_enabled=settings.selection_pattern_scoring_enabled,
         max_workers=settings.selection_max_workers,
         batch_size=settings.selection_batch_size,
@@ -338,15 +370,14 @@ def get_selection_run(
     page: Annotated[int, Query(ge=1)] = 1,
     page_size: Annotated[int, Query(ge=1, le=100)] = 10,
     search: Annotated[str | None, Query(max_length=100)] = None,
-    category: Literal[
-        "pullback", "oversold", "original", "resonance"
-    ] | None = None,
+    category: Literal["pullback", "oversold", "original", "resonance"] | None = None,
     sort: Literal["code", "score_desc", "score_asc"] = "code",
+    sector: Annotated[str | None, Query(max_length=60)] = None,
 ) -> SelectionResultsResponse:
     """Return one run for asynchronous polling."""
 
     try:
-        query = _result_query(page, page_size, search, category, sort)
+        query = _result_query(page, page_size, search, category, sort, sector)
         run = service.get_run(run_id, query=query)
     except SelectionRunStoreError as exc:
         raise _http_error(503, "selection_storage_unavailable", str(exc)) from exc
@@ -355,6 +386,51 @@ def get_selection_run(
     return _run_response(run, query=query)
 
 
+@selection_router.get("/sectors", response_model=SelectionSectorsResponse)
+def get_selection_sectors(
+    service: Annotated[RunZhixingB1, Depends(get_selection_service)],
+    strategy: StrategyValue = "zhixing_b1",
+    target_trade_date: date | None = None,
+    sector_type: Literal["concept", "industry"] = "concept",
+) -> SelectionSectorsResponse:
+    """Aggregate the current run's selected stocks by point-in-time sector."""
+
+    try:
+        aggregates = service.list_sector_counts(
+            strategy,
+            target_trade_date,
+            sector_type=sector_type,
+        )
+    except SelectionRunStoreError as exc:
+        raise _http_error(503, "selection_storage_unavailable", str(exc)) from exc
+    if aggregates is None or aggregates.run is None:
+        return SelectionSectorsResponse(
+            strategy=strategy,
+            target_trade_date=target_trade_date,
+            run_id=None,
+            status="no_data",
+            snapshot_trade_date=None,
+            sector_type=sector_type,
+        )
+    run = aggregates.run
+    return SelectionSectorsResponse(
+        strategy=run.strategy,
+        target_trade_date=run.target_trade_date,
+        run_id=run.id,
+        status=run.status,
+        snapshot_trade_date=aggregates.snapshot_trade_date,
+        sector_type=sector_type,
+        sectors=[
+            SelectionSectorCountResponse(
+                sector_code=count.sector_code,
+                sector_name=count.sector_name,
+                stock_count=count.stock_count,
+            )
+            for count in aggregates.sectors
+        ],
+    )
+
+
 @selection_router.get("/results", response_model=SelectionResultsResponse)
 def get_selection_results(
     service: Annotated[RunZhixingB1, Depends(get_selection_service)],
@@ -363,15 +439,14 @@ def get_selection_results(
     page: Annotated[int, Query(ge=1)] = 1,
     page_size: Annotated[int, Query(ge=1, le=100)] = 10,
     search: Annotated[str | None, Query(max_length=100)] = None,
-    category: Literal[
-        "pullback", "oversold", "original", "resonance"
-    ] | None = None,
+    category: Literal["pullback", "oversold", "original", "resonance"] | None = None,
     sort: Literal["code", "score_desc", "score_asc"] = "code",
+    sector: Annotated[str | None, Query(max_length=60)] = None,
 ) -> SelectionResultsResponse:
     """Return the current persisted result for a strategy and optional date."""
 
     try:
-        query = _result_query(page, page_size, search, category, sort)
+        query = _result_query(page, page_size, search, category, sort, sector)
         run = service.get_latest(strategy, target_trade_date, query=query)
     except SelectionRunStoreError as exc:
         raise _http_error(503, "selection_storage_unavailable", str(exc)) from exc
@@ -524,16 +599,19 @@ def _result_query(
     search: str | None,
     category: Literal["pullback", "oversold", "original", "resonance"] | None,
     sort: Literal["code", "score_desc", "score_asc"],
+    sector: str | None = None,
 ) -> SelectionResultQuery:
     """Normalize HTTP query values before handing them to the selection port."""
 
     normalized_search = search.strip() if search else None
+    normalized_sector = sector.strip() if sector else None
     return SelectionResultQuery(
         page=page,
         page_size=page_size,
         search=normalized_search or None,
         category=category,
         sort=sort,
+        sector=normalized_sector or None,
     )
 
 
@@ -551,6 +629,7 @@ __all__ = [
     "SelectionResultsResponse",
     "SelectionRunAcceptedResponse",
     "SelectionRunRequest",
+    "SelectionSectorsResponse",
     "SelectionStockResponse",
     "get_selection_chart_service",
     "get_selection_service",

zhixing-server/tests/test_selection_http.py

@@ -15,7 +15,10 @@ from zhixing_server.modules.selection.application.chart import (
     SelectionChartNotFound,
     SelectionChartPoint,
 )
-from zhixing_server.modules.selection.application.run import PreparedSelectionRun
+from zhixing_server.modules.selection.application.run import (
+    PreparedSelectionRun,
+    SelectionSectorAggregates,
+)
 from zhixing_server.modules.selection.domain.models import SelectionSignal, ZhixingB1Category
 from zhixing_server.modules.selection.domain.pattern_scoring import (
     PATTERN_SCORING_VERSION,
@@ -30,6 +33,7 @@ from zhixing_server.modules.selection.domain.runs import (
     SelectionResultQuery,
     SelectionRun,
     SelectionRunInProgress,
+    SelectionSectorCount,
     SelectionStock,
 )
 from zhixing_server.modules.selection.infrastructure.postgres_reader import (
@@ -45,11 +49,17 @@ TARGET = date(2026, 8, 8)
 
 
 class FakeSelectionService:
-    def __init__(self, run: SelectionRun | None = None) -> None:
+    def __init__(
+        self,
+        run: SelectionRun | None = None,
+        sectors: tuple[SelectionSectorCount, ...] = (),
+    ) -> None:
         self.run = run
+        self.sectors = sectors
         self.executed = False
         self.mode = "ok"
         self.last_query: SelectionResultQuery | None = None
+        self.sector_type_requested: str | None = None
 
     def prepare(
         self,
@@ -103,6 +113,23 @@ class FakeSelectionService:
             return None
         return self.run
 
+    def list_sector_counts(
+        self,
+        strategy: str,
+        target_trade_date: date | None = None,
+        *,
+        sector_type: str = "concept",
+    ) -> SelectionSectorAggregates | None:
+        self.sector_type_requested = sector_type
+        if self.run is None:
+            return None
+        return SelectionSectorAggregates(
+            run=self.run,
+            snapshot_trade_date=self.run.target_trade_date,
+            sector_type=sector_type,
+            sectors=self.sectors,
+        )
+
 
 class FakeChartService:
     """Return or fail one deterministic chart response."""
@@ -434,6 +461,83 @@ def test_query_rejects_invalid_page_size() -> None:
     assert response.status_code == 422
 
 
+def test_query_forwards_sector_filter() -> None:
+    service = FakeSelectionService(_run("run-http", "success"))
+
+    response = _client(service).get(
+        "/api/v1/selection/results",
+        params={"strategy": "zhixing_b1", "sector": "  BK0475.DC  "},
+    )
+
+    assert response.status_code == 200
+    assert service.last_query is not None
+    assert service.last_query.sector == "BK0475.DC"
+
+
+def test_sectors_returns_aggregated_counts_desc() -> None:
+    run = _run("run-http", "success")
+    service = FakeSelectionService(
+        run,
+        sectors=(
+            SelectionSectorCount(sector_code="BK0001.DC", sector_name="机器人", stock_count=3),
+            SelectionSectorCount(sector_code="BK0003.DC", sector_name="数字经济", stock_count=2),
+        ),
+    )
+
+    response = _client(service).get("/api/v1/selection/sectors")
+
+    assert response.status_code == 200
+    assert response.json() == {
+        "strategy": "zhixing_b1",
+        "target_trade_date": "2026-08-08",
+        "run_id": "run-http",
+        "status": "success",
+        "snapshot_trade_date": "2026-08-08",
+        "sector_type": "concept",
+        "sectors": [
+            {"sector_code": "BK0001.DC", "sector_name": "机器人", "stock_count": 3},
+            {"sector_code": "BK0003.DC", "sector_name": "数字经济", "stock_count": 2},
+        ],
+    }
+
+
+def test_sectors_forwards_sector_type() -> None:
+    service = FakeSelectionService(_run("run-http", "success"))
+
+    response = _client(service).get(
+        "/api/v1/selection/sectors",
+        params={"sector_type": "industry"},
+    )
+
+    assert response.status_code == 200
+    assert service.sector_type_requested == "industry"
+    assert response.json()["sector_type"] == "industry"
+
+
+def test_sectors_without_run_returns_no_data() -> None:
+    response = _client(FakeSelectionService()).get("/api/v1/selection/sectors")
+
+    assert response.status_code == 200
+    assert response.json() == {
+        "strategy": "zhixing_b1",
+        "target_trade_date": None,
+        "run_id": None,
+        "status": "no_data",
+        "snapshot_trade_date": None,
+        "sector_type": "concept",
+        "sectors": [],
+    }
+
+
+def test_sectors_rejects_unknown_sector_type() -> None:
+    response = _client(FakeSelectionService()).get(
+        "/api/v1/selection/sectors",
+        params={"sector_type": "macro"},
+    )
+
+    assert response.status_code == 422
+
+
 def test_chart_returns_bounded_qfq_contract() -> None:
     chart_service = FakeChartService()
 

zhixing-server/tests/unit/sector_radar/test_read.py

@@ -27,6 +27,7 @@ from zhixing_server.modules.sector_radar.domain.models import (
 from zhixing_server.modules.sector_radar.domain.persistence import (
     MembershipRecord,
     RankingRecord,
+    SectorCountEntry,
 )
 from zhixing_server.modules.sector_radar.domain.ranking import rank_metric_observations
 from zhixing_server.modules.sector_radar.infrastructure.memory import (
@@ -315,3 +316,89 @@ def test_stock_membership_query_rejects_invalid_values() -> None:
         StockSectorQuery(trade_date=TARGET_DATE, ts_code="x" * 13)
     with pytest.raises(ValueError):
         StockSectorQuery(trade_date=TARGET_DATE, ts_code="000001.SZ", concept_limit=0)
+
+
+def test_sector_counts_aggregates_concepts_and_orders_by_count_then_code() -> None:
+    repository = _membership_repository()
+    repository.save_memberships(
+        (
+            _membership_record("000002.SZ", SectorType.CONCEPT, "BK0001.DC", "机器人"),
+            _membership_record("000003.SZ", SectorType.CONCEPT, "BK0001.DC", "机器人"),
+            _membership_record("000002.SZ", SectorType.CONCEPT, "BK0003.DC", "数字经济"),
+        )
+    )
+    reader = ReadSectorRadar(repository)
+
+    snapshot = reader.sector_counts(["000001.SZ", "000002.SZ", "000003.SZ"], TARGET_DATE)
+
+    assert snapshot.status == "success"
+    assert snapshot.trade_date == TARGET_DATE
+    assert snapshot.sector_type is SectorType.CONCEPT
+    assert snapshot.counts == (
+        SectorCountEntry(sector_code="BK0001.DC", sector_name="机器人", stock_count=3),
+        SectorCountEntry(sector_code="BK0003.DC", sector_name="数字经济", stock_count=2),
+        SectorCountEntry(sector_code="BK0002.DC", sector_name="人工智能", stock_count=1),
+    )
+
+
+def test_sector_counts_supports_industry_type() -> None:
+    reader = ReadSectorRadar(_membership_repository())
+
+    snapshot = reader.sector_counts(
+        ["000001.SZ", "000002.SZ"],
+        TARGET_DATE,
+        sector_type=SectorType.INDUSTRY,
+    )
+
+    assert snapshot.status == "success"
+    assert snapshot.sector_type is SectorType.INDUSTRY
+    assert snapshot.counts == (
+        SectorCountEntry(sector_code="BK0901.DC", sector_name="银行", stock_count=1),
+        SectorCountEntry(sector_code="BK0902.DC", sector_name="房地产", stock_count=1),
+    )
+
+
+def test_sector_counts_without_publication_is_no_data() -> None:
+    reader = ReadSectorRadar(InMemorySectorRadarRepository())
+
+    snapshot = reader.sector_counts(["000001.SZ"], TARGET_DATE)
+
+    assert snapshot.status == "no_data"
+    assert snapshot.trade_date is None
+    assert snapshot.counts == ()
+
+
+def test_sector_counts_with_empty_stock_set_skips_publication_lookup() -> None:
+    reader = ReadSectorRadar(_membership_repository())
+
+    snapshot = reader.sector_counts([], TARGET_DATE)
+
+    assert snapshot.status == "no_data"
+    assert snapshot.counts == ()
+
+
+def test_sector_member_codes_returns_available_members() -> None:
+    reader = ReadSectorRadar(_membership_repository())
+
+    snapshot = reader.sector_member_codes(TARGET_DATE, "BK0001.DC")
+
+    assert snapshot.status == "success"
+    assert snapshot.trade_date == TARGET_DATE
+    assert snapshot.stock_codes == ("000001.SZ",)
+
+
+def test_sector_member_codes_without_publication_is_no_data() -> None:
+    reader = ReadSectorRadar(InMemorySectorRadarRepository())
+
+    snapshot = reader.sector_member_codes(TARGET_DATE, "BK0001.DC")
+
+    assert snapshot.status == "no_data"
+    assert snapshot.trade_date is None
+    assert snapshot.stock_codes == ()
+
+
+def test_sector_member_codes_rejects_blank_sector_code() -> None:
+    reader = ReadSectorRadar(_membership_repository())
+
+    with pytest.raises(ValueError):
+        reader.sector_member_codes(TARGET_DATE, "   ")

zhixing-server/tests/unit/selection/test_run.py

@@ -136,7 +136,13 @@ class FakeStore:
             kwargs["error_message"] = error_message
         self.finished = (run_id, status, kwargs)
 
-    def get_run(self, run_id: str, *, query: SelectionResultQuery | None = None):
+    def get_run(
+        self,
+        run_id: str,
+        *,
+        query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
+    ):
         return None
 
     def get_latest_run(
@@ -145,9 +151,16 @@ class FakeStore:
         target_trade_date: date | None = None,
         *,
         query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
     ):
         return None
 
+    def get_run_identity(self, run_id: str):
+        return None
+
+    def get_latest_run_identity(self, strategy: str, target_trade_date: date | None = None):
+        return None
+
 
 class BatchStore(FakeStore):
     def __init__(self) -> None:
@@ -427,8 +440,8 @@ def test_execute_loads_cases_once_and_scores_only_selected_stocks() -> None:
         reader,
         store,
         evaluator,
-        loader,
-        scorer,
+        pattern_case_loader=loader,
+        pattern_scorer=scorer,
         pattern_scoring_enabled=True,
         batch_size=1,
     )
@@ -463,8 +476,8 @@ def test_execute_isolates_pattern_scoring_failure_from_selection_status() -> Non
         BatchReader(source),
         store,
         evaluator,
-        loader,
-        scorer,
+        pattern_case_loader=loader,
+        pattern_scorer=scorer,
         pattern_scoring_enabled=True,
     )
 
@@ -497,8 +510,8 @@ def test_execute_skips_pattern_dependencies_when_feature_flag_is_disabled() -> N
         BatchReader(source),
         store,
         evaluator,
-        loader,
-        scorer,
+        pattern_case_loader=loader,
+        pattern_scorer=scorer,
         pattern_scoring_enabled=False,
     )
 
@@ -535,8 +548,8 @@ def test_execute_marks_scores_failed_when_case_library_is_unavailable() -> None:
         BatchReader(source),
         store,
         evaluator,
-        loader,
-        scorer,
+        pattern_case_loader=loader,
+        pattern_scorer=scorer,
         pattern_scoring_enabled=True,
     )
 

zhixing-server/tests/unit/selection/test_sector_filter.py

@@ -0,0 +1,264 @@
+"""Sector-filter behavior for selection result reads and sector aggregates."""
+
+from collections.abc import Sequence
+from dataclasses import replace
+from datetime import date
+from decimal import Decimal
+
+from zhixing_server.modules.selection.application.run import (
+    RunZhixingB1,
+    SelectionSectorAggregates,
+)
+from zhixing_server.modules.selection.domain.runs import (
+    SelectionExecutionSource,
+    SelectionResultQuery,
+    SelectionRun,
+    SelectionRunIdentity,
+    SelectionRunItem,
+    SelectionRunStatus,
+    SelectionSectorCount,
+    SelectionSectorMembership,
+)
+
+TARGET = date(2026, 8, 8)
+
+
+class FakeReader:
+    def load_execution_source(
+        self, strategy: str, target_trade_date: date
+    ) -> SelectionExecutionSource:
+        raise AssertionError("sector reads must not load execution sources")
+
+    def load_history(self, ts_code: str, target_trade_date: date):
+        raise AssertionError("sector reads must not load histories")
+
+
+class FakeSectorReader:
+    def __init__(
+        self,
+        counts: tuple[SelectionSectorCount, ...] = (),
+        member_codes: tuple[str, ...] = (),
+    ) -> None:
+        self.counts = counts
+        self.member_codes = member_codes
+        self.count_calls: list[tuple[tuple[str, ...], date, str]] = []
+        self.member_calls: list[tuple[date, str, str]] = []
+
+    def sector_counts(
+        self,
+        stock_codes: Sequence[str],
+        target_trade_date: date,
+        *,
+        sector_type: str = "concept",
+    ) -> SelectionSectorMembership:
+        self.count_calls.append((tuple(stock_codes), target_trade_date, sector_type))
+        return SelectionSectorMembership(
+            snapshot_trade_date=target_trade_date,
+            sector_counts=self.counts,
+        )
+
+    def sector_member_codes(
+        self,
+        target_trade_date: date,
+        sector_code: str,
+        *,
+        sector_type: str = "concept",
+    ) -> tuple[str, ...]:
+        self.member_calls.append((target_trade_date, sector_code, sector_type))
+        return self.member_codes
+
+
+class FakeStore:
+    def __init__(self, run: SelectionRun | None) -> None:
+        self.run = run
+        self.sector_codes_seen: Sequence[str] | None = None
+        self.queries: list[SelectionResultQuery] = []
+
+    def prepare_run(self, *args: object, **kwargs: object):
+        raise AssertionError("sector reads must not prepare runs")
+
+    def record_item(self, run_id: str, item: SelectionRunItem) -> None:
+        raise AssertionError("sector reads must not record items")
+
+    def finish_run(self, *args: object, **kwargs: object) -> None:
+        raise AssertionError("sector reads must not finish runs")
+
+    def get_run(
+        self,
+        run_id: str,
+        *,
+        query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
+    ) -> SelectionRun | None:
+        self.queries.append(query or SelectionResultQuery())
+        self.sector_codes_seen = sector_stock_codes
+        if self.run is not None and self.run.id == run_id:
+            return self.run
+        return None
+
+    def get_latest_run(
+        self,
+        strategy: str,
+        target_trade_date: date | None = None,
+        *,
+        query: SelectionResultQuery | None = None,
+        sector_stock_codes: Sequence[str] | None = None,
+    ) -> SelectionRun | None:
+        self.queries.append(query or SelectionResultQuery())
+        self.sector_codes_seen = sector_stock_codes
+        return self.run
+
+    def get_run_identity(self, run_id: str) -> SelectionRunIdentity | None:
+        if self.run is None or self.run.id != run_id:
+            return None
+        return SelectionRunIdentity(
+            run_id=self.run.id,
+            target_trade_date=self.run.target_trade_date,
+        )
+
+    def get_latest_run_identity(
+        self,
+        strategy: str,
+        target_trade_date: date | None = None,
+    ) -> SelectionRunIdentity | None:
+        if self.run is None:
+            return None
+        return SelectionRunIdentity(
+            run_id=self.run.id,
+            target_trade_date=self.run.target_trade_date,
+        )
+
+
+def _run(status: SelectionRunStatus = "success") -> SelectionRun:
+    return SelectionRun(
+        id="run-1",
+        strategy="zhixing_b1",
+        target_trade_date=TARGET,
+        market_sync_batch_id="market-run-1",
+        status=status,
+        target_count=3,
+        eligible_count=3,
+        evaluated_count=3,
+        selected_stock_count=2,
+        signal_count=2,
+        failed_count=0,
+        coverage=Decimal(1),
+        items=(
+            SelectionRunItem(ts_code="000001.SZ", name="A", status="selected", signal_count=1),
+            SelectionRunItem(ts_code="000002.SZ", name="B", status="selected", signal_count=1),
+            SelectionRunItem(ts_code="000003.SZ", name="C", status="no_signal", signal_count=0),
+        ),
+    )
+
+
+def test_list_sector_counts_aggregates_only_selected_stocks() -> None:
+    store = FakeStore(_run())
+    sector_reader = FakeSectorReader(
+        counts=(SelectionSectorCount(sector_code="BK0001.DC", sector_name="机器人", stock_count=2),)
+    )
+    service = RunZhixingB1(FakeReader(), store, sector_reader=sector_reader)
+
+    aggregates = service.list_sector_counts("zhixing_b1")
+
+    assert isinstance(aggregates, SelectionSectorAggregates)
+    assert sector_reader.count_calls == [(("000001.SZ", "000002.SZ"), TARGET, "concept")]
+    assert aggregates.snapshot_trade_date == TARGET
+    assert aggregates.sector_type == "concept"
+    assert aggregates.sectors == sector_reader.counts
+    assert aggregates.run is store.run
+
+
+def test_list_sector_counts_without_run_returns_none() -> None:
+    service = RunZhixingB1(FakeReader(), FakeStore(None), sector_reader=FakeSectorReader())
+
+    assert service.list_sector_counts("zhixing_b1") is None
+
+
+def test_list_sector_counts_without_selected_stocks_skips_reader() -> None:
+    run = replace(_run(), items=())
+    sector_reader = FakeSectorReader()
+    service = RunZhixingB1(FakeReader(), FakeStore(run), sector_reader=sector_reader)
+
+    aggregates = service.list_sector_counts("zhixing_b1")
+
+    assert sector_reader.count_calls == []
+    assert aggregates is not None
+    assert aggregates.snapshot_trade_date is None
+    assert aggregates.sectors == ()
+
+
+def test_get_latest_resolves_sector_filter_against_run_snapshot() -> None:
+    store = FakeStore(_run())
+    sector_reader = FakeSectorReader(member_codes=("000001.SZ", "000002.SZ"))
+    service = RunZhixingB1(FakeReader(), store, sector_reader=sector_reader)
+
+    run = service.get_latest(
+        "zhixing_b1",
+        query=SelectionResultQuery(page=2, page_size=20, sector="BK0001.DC"),
+    )
+
+    assert run is store.run
+    assert sector_reader.member_calls == [(TARGET, "BK0001.DC", "concept")]
+    assert store.sector_codes_seen == ("000001.SZ", "000002.SZ")
+    assert store.queries[-1].sector is None
+    assert store.queries[-1].page == 2
+
+
+def test_get_latest_with_empty_sector_members_returns_empty_codes_page() -> None:
+    store = FakeStore(_run())
+    service = RunZhixingB1(
+        FakeReader(),
+        store,
+        sector_reader=FakeSectorReader(member_codes=()),
+    )
+
+    service.get_latest("zhixing_b1", query=SelectionResultQuery(sector="BK9999.DC"))
+
+    assert store.sector_codes_seen == ()
+
+
+def test_get_latest_without_sector_reader_ignores_the_filter() -> None:
+    store = FakeStore(_run())
+    service = RunZhixingB1(FakeReader(), store)
+
+    run = service.get_latest(
+        "zhixing_b1",
+        query=SelectionResultQuery(sector="BK0001.DC"),
+    )
+
+    assert run is store.run
+    assert store.sector_codes_seen is None
+    assert store.queries[-1].sector == "BK0001.DC"
+
+
+def test_get_run_resolves_sector_filter_against_run_snapshot() -> None:
+    store = FakeStore(_run())
+    sector_reader = FakeSectorReader(member_codes=("000001.SZ",))
+    service = RunZhixingB1(FakeReader(), store, sector_reader=sector_reader)
+
+    run = service.get_run("run-1", query=SelectionResultQuery(sector="BK0001.DC"))
+
+    assert run is store.run
+    assert sector_reader.member_calls == [(TARGET, "BK0001.DC", "concept")]
+    assert store.sector_codes_seen == ("000001.SZ",)
+
+
+def test_get_latest_without_run_and_sector_filter_returns_none() -> None:
+    service = RunZhixingB1(
+        FakeReader(),
+        FakeStore(None),
+        sector_reader=FakeSectorReader(member_codes=()),
+    )
+
+    assert service.get_latest("zhixing_b1", query=SelectionResultQuery(sector="BK0001.DC")) is None
+
+
+def test_list_sector_counts_accepts_industry_type() -> None:
+    sector_reader = FakeSectorReader()
+    service = RunZhixingB1(FakeReader(), FakeStore(_run()), sector_reader=sector_reader)
+
+    aggregates = service.list_sector_counts("zhixing_b1", sector_type="industry")
+
+    assert aggregates is not None
+    assert aggregates.sector_type == "industry"
+    assert sector_reader.count_calls == [(("000001.SZ", "000002.SZ"), TARGET, "industry")]

zhixing-web/src/features/selection/api/selection.api.ts

@@ -7,6 +7,7 @@ import {
   type SelectionResultsQuery,
   type SelectionRunAccepted,
   type SelectionRunRequest,
+  type SelectionSectors,
   type SelectionStrategy,
 } from "./selection.types"
 
@@ -63,9 +64,27 @@ function buildSelectionQueryParams(query: SelectionResultsQuery) {
   if (query.search) params.set("search", query.search)
   if (query.category) params.set("category", query.category)
   if (query.sort) params.set("sort", query.sort)
+  if (query.sector) params.set("sector", query.sector)
   return params
 }
 
+export function getSelectionResultSectors(
+  strategy: SelectionStrategy,
+  targetTradeDate?: string,
+  sectorType: "concept" | "industry" = "concept",
+  signal?: AbortSignal,
+) {
+  const params = new URLSearchParams({
+    strategy,
+    sector_type: sectorType,
+  })
+  if (targetTradeDate) params.set("target_trade_date", targetTradeDate)
+  return requestJson<SelectionSectors>(
+    `/api/v1/selection/sectors?${params.toString()}`,
+    { signal },
+  )
+}
+
 export function triggerSelectionRun(
   request: SelectionRunRequest,
   signal?: AbortSignal,

zhixing-web/src/features/selection/api/selection.query.test.ts

@@ -69,6 +69,7 @@ describe("selection query hooks", () => {
         "平安",
         "pullback",
         "score_desc",
+        "",
       ],
     )
     expect(

zhixing-web/src/features/selection/api/selection.query.ts

@@ -10,6 +10,7 @@ import { useEffect } from "react"
 
 import {
   getSelectionChart,
+  getSelectionResultSectors,
   getSelectionResults,
   getSelectionRun,
   triggerSelectionRun,
@@ -19,6 +20,7 @@ import {
   type SelectionResults,
   type SelectionResultsQuery,
   type SelectionRunRequest,
+  type SelectionSectors,
   type SelectionStrategy,
 } from "./selection.types"
 
@@ -55,6 +57,7 @@ export const selectionResultsQueryKey = (
     query.search ?? "",
     query.category ?? "all",
     query.sort ?? "code",
+    query.sector ?? "",
   ] as const
 
 export const selectionRunQueryKey = (
@@ -69,8 +72,15 @@ export const selectionRunQueryKey = (
     query.search ?? "",
     query.category ?? "all",
     query.sort ?? "code",
+    query.sector ?? "",
   ] as const
 
+export const selectionSectorsQueryKey = (
+  strategy: SelectionStrategy,
+  targetTradeDate?: string,
+  sectorType: "concept" | "industry" = "concept",
+) => ["selection", "sectors", strategy, targetTradeDate, sectorType] as const
+
 export function flattenSelectionResults(
   data: InfiniteData<SelectionResults> | undefined,
 ): SelectionResults | undefined {
@@ -120,6 +130,18 @@ export function useSelectionChart(
   })
 }
 
+export function useSelectionResultSectors(
+  strategy: SelectionStrategy,
+  targetTradeDate?: string,
+  sectorType: "concept" | "industry" = "concept",
+) {
+  return useQuery<SelectionSectors, Error>({
+    queryFn: ({ signal }) =>
+      getSelectionResultSectors(strategy, targetTradeDate, sectorType, signal),
+    queryKey: selectionSectorsQueryKey(strategy, targetTradeDate, sectorType),
+  })
+}
+
 export function useSelectionRun(
   runId: string | null,
   resultQuery: SelectionResultsListQuery = defaultListQuery,
@@ -173,9 +195,14 @@ export function invalidateSelectionResults(
   queryClient: QueryClient,
   strategy: SelectionStrategy,
 ) {
-  return queryClient.invalidateQueries({
+  return Promise.all([
+    queryClient.invalidateQueries({
       queryKey: ["selection", "results", strategy],
-  })
+    }),
+    queryClient.invalidateQueries({
+      queryKey: ["selection", "sectors", strategy],
+    }),
+  ])
 }
 
 function nextSelectionPageParam(

zhixing-web/src/features/selection/api/selection.types.ts

@@ -25,6 +25,27 @@ export interface SelectionResultsQuery {
   search?: string
   category?: Exclude<SelectionCategoryFilter, "all">
   sort?: SelectionSort
+  sector?: string
+}
+
+export type SelectionSectorType = "concept" | "industry"
+
+export const selectionSectorTypes = ["concept", "industry"] as const
+
+export interface SelectionSectorAggregate {
+  sector_code: string
+  sector_name: string
+  stock_count: number
+}
+
+export interface SelectionSectors {
+  strategy: SelectionStrategy
+  target_trade_date: string | null
+  run_id: string | null
+  status: SelectionRunStatus
+  snapshot_trade_date: string | null
+  sector_type: SelectionSectorType
+  sectors: SelectionSectorAggregate[]
 }
 
 export type SelectionRunStatus =

zhixing-web/src/features/selection/components/selection-results-workbench.tsx

@@ -1,4 +1,4 @@
-import { useMemo, useRef, useState } from "react"
+import { useEffect, useMemo, useRef, useState } from "react"
 import { useNavigate, useSearch } from "@tanstack/react-router"
 
 import { Input } from "@/shared/ui/input"
@@ -11,7 +11,11 @@ import {
   SelectValue,
 } from "@/shared/ui/select"
 
-import type { SelectionResults, SelectionSort } from "../api/selection.types"
+import type {
+  SelectionResults,
+  SelectionSectorAggregate,
+  SelectionSort,
+} from "../api/selection.types"
 import { SignalDetailPanel } from "./signal-detail-panel"
 import { SignalRecordList } from "./signal-record-list"
 import {
@@ -30,12 +34,15 @@ const SCORE_SORT_OPTIONS: ReadonlyArray<{
   { label: "评分从低到高", value: "score_asc" },
 ]
 
+const ALL_SECTORS_VALUE = "all"
+
 interface SelectionResultsWorkbenchProps {
   hasNextPage: boolean
   isFetchNextPageError: boolean
   isFetchingNextPage: boolean
   onLoadMore: () => void | Promise<unknown>
   result: SelectionResults
+  sectorOptions: ReadonlyArray<SelectionSectorAggregate>
 }
 
 export function SelectionResultsWorkbench({
@@ -44,12 +51,14 @@ export function SelectionResultsWorkbench({
   isFetchingNextPage,
   onLoadMore,
   result,
+  sectorOptions,
 }: SelectionResultsWorkbenchProps) {
   const search = useSearch({ from: "/_workspace/selection" })
   const navigate = useNavigate({ from: "/selection" })
   const query = search.search ?? ""
   const category = search.category ?? "all"
   const sort = search.sort ?? "code"
+  const sector = search.sector
   const [selectedKey, setSelectedKey] = useState<string | null>(null)
   const loadMoreRequestPending = useRef(false)
 
@@ -68,11 +77,32 @@ export function SelectionResultsWorkbench({
   const selectedStock =
     visibleStocks.find((stock) => getStockKey(stock) === selectedKey) ??
     visibleStocks[0]
+  const sectorSelectItems = useMemo(
+    () => [
+      { label: "全部板块", value: ALL_SECTORS_VALUE },
+      ...sectorOptions.map((option) => ({
+        label: option.sector_name,
+        value: option.sector_code,
+      })),
+    ],
+    [sectorOptions],
+  )
+
+  // The aggregate list is the source of truth for valid sectors; drop a stale
+  // value left over from another strategy or trade date.
+  useEffect(() => {
+    if (!sector) return
+    if (sectorOptions.some((option) => option.sector_code === sector)) return
+    void navigate({
+      search: (previous) => ({ ...previous, sector: undefined }),
+    })
+  }, [navigate, sector, sectorOptions])
 
   function updateSearch(next: {
     search?: string
     category?: SignalCategoryFilter
     sort?: SelectionSort
+    sector?: string
   }) {
     void navigate({ search: (previous) => ({ ...previous, ...next }) })
   }
@@ -89,6 +119,10 @@ export function SelectionResultsWorkbench({
     updateSearch({ sort: value })
   }
 
+  function handleSectorChange(value: string) {
+    updateSearch({ sector: value === ALL_SECTORS_VALUE ? undefined : value })
+  }
+
   function requestLoadMore() {
     if (
       loadMoreRequestPending.current ||
@@ -105,9 +139,9 @@ export function SelectionResultsWorkbench({
   }
 
   return (
-    <div className="flex min-h-0 min-w-0 flex-1 flex-col gap-2 overflow-hidden md:grid md:grid-cols-[320px_minmax(0,1fr)]">
-      <section className="flex min-h-0 min-w-0 flex-1 flex-col overflow-hidden rounded-md border border-border/80 bg-card">
-        <div className="flex shrink-0 flex-wrap items-center gap-1.5 border-b border-border/60 p-2.5">
+    <div className="flex min-h-0 min-w-0 flex-1 flex-col gap-2 overflow-hidden">
+      <section className="shrink-0 rounded-md border border-border/80 bg-card">
+        <div className="flex flex-wrap items-center gap-1.5 p-2.5">
           <Input
             aria-label="搜索命中股票"
             className="h-11 min-w-0 flex-1 bg-background text-sm sm:max-w-[260px] md:h-8"
@@ -116,6 +150,38 @@ export function SelectionResultsWorkbench({
             type="search"
             value={query}
           />
+          <Select
+            items={sectorSelectItems}
+            onValueChange={(value) => {
+              if (typeof value === "string") handleSectorChange(value)
+            }}
+            value={sector ?? ALL_SECTORS_VALUE}
+          >
+            <SelectTrigger
+              aria-label="筛选板块"
+              className="h-11 w-full bg-background text-sm sm:w-auto sm:min-w-36 md:h-8"
+            >
+              <SelectValue placeholder="筛选板块" />
+            </SelectTrigger>
+            <SelectContent>
+              <SelectGroup>
+                <SelectItem value={ALL_SECTORS_VALUE}>全部板块</SelectItem>
+                {sectorOptions.map((option) => (
+                  <SelectItem
+                    key={option.sector_code}
+                    value={option.sector_code}
+                  >
+                    <span className="flex w-full items-center justify-between gap-3">
+                      <span>{option.sector_name}</span>
+                      <span className="tabular-nums text-muted-foreground">
+                        {option.stock_count}
+                      </span>
+                    </span>
+                  </SelectItem>
+                ))}
+              </SelectGroup>
+            </SelectContent>
+          </Select>
           <Select
             items={signalCategoryOptions}
             onValueChange={(value) => {
@@ -170,7 +236,10 @@ export function SelectionResultsWorkbench({
             筛选结果 {stocksTotal} 只
           </span>
         </div>
+      </section>
 
+      <div className="flex min-h-0 min-w-0 flex-1 flex-col gap-2 overflow-hidden md:grid md:grid-cols-[320px_minmax(0,1fr)]">
+        <section className="flex min-h-0 min-w-0 flex-1 flex-col overflow-hidden rounded-md border border-border/80 bg-card">
           <div className="flex min-h-0 min-w-0 flex-1 flex-col overflow-hidden">
             <SignalRecordList
               isFetchNextPageError={isFetchNextPageError}
@@ -189,5 +258,6 @@ export function SelectionResultsWorkbench({
 
         <SignalDetailPanel stock={selectedStock} />
       </div>
+    </div>
   )
 }

zhixing-web/src/features/selection/pages/selection-results-page.test.tsx

@@ -16,6 +16,7 @@ import { SelectionResultsPage } from "./selection-results-page"
 
 const routerNavigate = vi.hoisted(() => vi.fn())
 const useSelectionResults = vi.fn()
+const useSelectionResultSectors = vi.fn()
 const useSelectionChart = vi.fn()
 const useStockSectorMembership = vi.fn()
 const useSelectionRun = vi.fn()
@@ -31,6 +32,8 @@ vi.mock("@/features/selection/api/selection.query", async () => {
   return {
     ...actual,
     useSelectionResults: (...args: unknown[]) => useSelectionResults(...args),
+    useSelectionResultSectors: (...args: unknown[]) =>
+      useSelectionResultSectors(...args),
     useSelectionChart: (...args: unknown[]) => useSelectionChart(...args),
     useSelectionRun: (...args: unknown[]) => useSelectionRun(...args),
     useTriggerSelectionRun: () => useTriggerSelectionRun(),
@@ -169,6 +172,11 @@ describe("SelectionResultsPage", () => {
       isPending: false,
     })
     useSelectionResults.mockReturnValue(selectionQueryResult(selectedResult))
+    useSelectionResultSectors.mockReturnValue({
+      data: undefined,
+      isError: false,
+      isPending: false,
+    })
     useSelectionRun.mockReturnValue(emptySelectionQuery())
     useTriggerSelectionRun.mockReturnValue({
       isError: false,
@@ -535,6 +543,45 @@ describe("SelectionResultsPage", () => {
     })
   })
 
+  it("filters by sector and shows per-sector counts", async () => {
+    useSelectionResultSectors.mockReturnValue({
+      data: {
+        strategy: "zhixing_b1",
+        target_trade_date: "2026-08-08",
+        run_id: "run-1",
+        status: "success",
+        snapshot_trade_date: "2026-08-08",
+        sector_type: "concept",
+        sectors: [
+          { sector_code: "BK0001.DC", sector_name: "机器人", stock_count: 3 },
+          { sector_code: "BK0003.DC", sector_name: "数字经济", stock_count: 2 },
+        ],
+      },
+      isError: false,
+      isPending: false,
+    })
+    render(<SelectionResultsPage />)
+
+    const sectorTrigger = screen.getByRole("combobox", { name: "筛选板块" })
+    expect(sectorTrigger).toHaveTextContent("全部板块")
+
+    fireEvent.click(sectorTrigger)
+    const robotOption = await screen.findByRole("option", {
+      name: /机器人/,
+    })
+    expect(robotOption).toHaveTextContent("3")
+    fireEvent.pointerDown(robotOption, { pointerType: "mouse" })
+    fireEvent.click(robotOption)
+
+    expect(routerNavigate).toHaveBeenCalled()
+    const lastCall =
+      routerNavigate.mock.calls[routerNavigate.mock.calls.length - 1]
+    const searchUpdate = lastCall[0].search as (previous: {
+      sector?: string
+    }) => Record<string, unknown>
+    expect(searchUpdate({})).toEqual({ sector: "BK0001.DC" })
+  })
+
   it("requests database-backed score sorting", async () => {
     render(<SelectionResultsPage />)
 

zhixing-web/src/features/selection/pages/selection-results-page.tsx

@@ -5,6 +5,7 @@ import { useRef, useState, type RefObject } from "react"
 import { PageLayout } from "@/app/layout/page-layout"
 import {
   flattenSelectionResults,
+  useSelectionResultSectors,
   useSelectionResults,
   useSelectionRun,
   useTriggerSelectionRun,
@@ -14,6 +15,8 @@ import {
   selectionStrategies,
   type SelectionResults,
   type SelectionResultsQuery,
+  type SelectionSectorAggregate,
+  type SelectionSectors,
   type SelectionStrategy,
 } from "@/features/selection/api/selection.types"
 import { Button } from "@/shared/ui/button"
@@ -71,6 +74,7 @@ export function SelectionResultsPage() {
     pageSize: selectionResultPageSize,
     ...(search.search ? { search: search.search } : {}),
     ...(search.category !== "all" ? { category: search.category } : {}),
+    ...(search.sector ? { sector: search.sector } : {}),
     sort: search.sort,
   }
 
@@ -79,6 +83,10 @@ export function SelectionResultsPage() {
     targetTradeDate || undefined,
     resultQuery,
   )
+  const sectorsQuery = useSelectionResultSectors(
+    strategy,
+    targetTradeDate || undefined,
+  )
   const resultsSnapshot = flattenSelectionResults(results.data)
   const persistedRunningRunId =
     resultsSnapshot?.status === "running" ? resultsSnapshot.run_id : null
@@ -156,7 +164,11 @@ export function SelectionResultsPage() {
     setRerunDialogOpen(false)
     trigger.reset()
     void navigate({
-      search: (previous) => ({ ...previous, category: "all" }),
+      search: (previous) => ({
+        ...previous,
+        category: "all",
+        sector: undefined,
+      }),
     })
   }
 
@@ -212,6 +224,7 @@ export function SelectionResultsPage() {
               isFetchingNextPage={Boolean(listQuery.isFetchingNextPage)}
               onLoadMore={() => listQuery.fetchNextPage()}
               result={displayedResult}
+              sectors={sectorsQuery.data}
             />
           ) : null}
         </div>
@@ -376,8 +389,11 @@ interface ResultStateProps {
   isFetchingNextPage: boolean
   onLoadMore: () => void | Promise<unknown>
   result: SelectionResults
+  sectors: SelectionSectors | undefined
 }
 
+const EMPTY_SECTOR_OPTIONS: ReadonlyArray<SelectionSectorAggregate> = []
+
 function parseLocalTradeDate(value: string): Date | undefined {
   const match = /^(\d{4})-(\d{2})-(\d{2})$/.exec(value)
   if (!match) return undefined
@@ -511,6 +527,7 @@ function ResultState({
   isFetchingNextPage,
   onLoadMore,
   result,
+  sectors,
 }: ResultStateProps) {
   return result.signal_count === 0 ? (
     <NoSignalState />
@@ -521,6 +538,7 @@ function ResultState({
       isFetchingNextPage={isFetchingNextPage}
       onLoadMore={onLoadMore}
       result={result}
+      sectorOptions={sectors?.sectors ?? EMPTY_SECTOR_OPTIONS}
     />
   )
 }

zhixing-web/src/routes/route-tree.tsx

@@ -124,7 +124,11 @@ const selectionRoute = createRoute({
     )
       ? (rawSort as SelectionSort)
       : "code"
-    return { page, pageSize, search: searchValue, category, sort }
+    const sector =
+      typeof search.sector === "string" && search.sector.trim()
+        ? search.sector.trim().slice(0, 60)
+        : undefined
+    return { page, pageSize, search: searchValue, category, sort, sector }
   },
   component: SelectionResultsPage,
 })