更新生产部署配置，调整工作流以支持 prod 分支，移除不再使用的数据库网络变量，并优化文档说明

- Added new sections on missing data handling and experimental variables in data and signal semantics (2026-09-25).
- Included clarifications on clustering representatives and candidate evaluations in portfolio and correlation optimization (2026-09-25).
- Updated README to reflect the latest forum synchronization and new post counts, including significant additions and revisions across multiple topics (2026-09-25).

.gitea/workflows/deploy-production.yaml

@@ -1,13 +1,15 @@
 name: Deploy production
 on:
   push:
-    branches: [main]
+    branches: [prod]
   workflow_dispatch:
 
 jobs:
   deploy:
-    # Reuse the runner that deploys zhixing-system to the same Docker host.
-    runs-on: ubuntu-latest
+    # Manual runs must also select prod before receiving production credentials.
+    if: ${{ github.ref == 'refs/heads/prod' }}
+    # Match the label of tencent-prod-runner on server B, not its runner name.
+    runs-on: tencent-prod
     steps:
       - name: Checkout
         uses: https://github.com/actions/checkout@v4
@@ -22,7 +24,6 @@ jobs:
           WQ_PASSWORD: ${{ secrets.WQ_PASSWORD }}
           ENCRYPTION_KEY: ${{ secrets.ENCRYPTION_KEY }}
           ADMIN_USERNAME: ${{ vars.ADMIN_USERNAME }}
-          DATABASE_NETWORK: ${{ vars.DATABASE_NETWORK }}
           PUBLIC_ORIGIN: ${{ vars.PUBLIC_ORIGIN }}
           MCP_ENABLED: ${{ vars.MCP_ENABLED }}
         run: bash scripts/deploy-production.sh

.scratch/backtest-table-interactions/issues/01-implementation.md

@@ -0,0 +1,12 @@
+# 实现与验证
+Type: task
+Status: ready-for-agent
+
+- [x] 共用表格、工具栏、图标刷新
+- [x] 服务端名称筛选与排序
+- [x] 后端与浏览器回归、构建
+
+## Comments
+用户授权本地实现，未要求本次提交或推送。
+
+本地实现完成。后端 20 项测试及 ruff 检查通过，前端构建通过；4 项浏览器用例通过，轮询慢请求保护修改后工具栏用例再次通过。验证了名称/来源筛选、排序回到第一页、手动刷新、列显隐、40px 行高、桌面与窄屏固定分页，以及原有草稿/预览/运行和 MCP 来源流程。使用模拟平台，无真实回测请求。构建保留已有依赖 eval 与包体积警告。

.scratch/backtest-table-interactions/spec.md

@@ -0,0 +1,2 @@
+# 回测研究表格交互
+运行记录与候选草稿复用目录工具栏和 WorkspaceTable：筛选浮层、列显隐持久化、服务端名称/时间排序、图标刷新与调度设置、固定分页及 25/50/100 条容量。保留自动刷新和现有候选/运行详情操作；手动刷新当前视图，避免旧请求覆盖新筛选。

.scratch/catalog-table-interactions/issues/01-implementation.md

@@ -0,0 +1,17 @@
+# 统一目录工具栏与验证
+Type: task
+Status: ready-for-agent
+
+- [x] 共用工具栏、列配置和图标操作
+- [x] 三个列表接入筛选、排序与列显隐
+- [x] 必需的服务端排序支持
+- [x] 类型/构建、后端与浏览器验证
+
+## Comments
+用户已授权开发；保留上一轮组合/参数组件改动。
+
+
+## 验收结果
+2026-09-12 本地实现完成：三个主列表使用共用筛选/列设置/排序工具栏，常用动作图标化；列选择保存在各自 localStorage 键。数据准备按名称、创建时间、更新时间在服务端排序，默认更新时间降序；在线字段排序保留禁用说明。
+
+验证：后端目录/数据准备/参数元数据相关 38 项测试通过，ruff 通过；前端构建通过。目录与参数组件共 8 个浏览器用例已通过（首轮 6 项通过，修正复选框测试定位和新建图标无障碍名称后，失败的 2 项分别复测通过）；新增组合筛选嵌套交互也通过。检查了桌面筛选/排序截图，已有用例验证 40px 行高、截断、窄屏底栏、跨页选择和在线查询约束。测试使用隔离模拟平台，未访问真实 WQ；构建仍提示已有依赖 eval 与大包体积警告。

.scratch/catalog-table-interactions/spec.md

@@ -0,0 +1,5 @@
+# 统一目录表格交互
+
+用户要求数据目录、字段目录、数据准备的表格交互与 Alpha 管理一致。统一筛选浮层（草稿/查询应用/重置）、列显隐持久化、独立排序浮层与左右工具栏；常用动作图标化，保留 aria-label 与提示。保留已完成的组合组件；不新增未授权的保存视图、导出或上游排序能力。服务端分页保持全量排序，在线字段仍需明确条件并点击查询，切换范围清空结果/勾选。
+
+本地验证覆盖筛选生效时机、排序跨页、列配置刷新恢复、图标名称、40px 行高和窄屏布局。保留前一任务全部改动。

.scratch/correlation-recheck/issues/01-recheck.md

@@ -0,0 +1,10 @@
+# 全量重检通过的 Alpha 本地自相关
+Status: ready-for-agent
+Type: task
+
+按天同步左侧新增重检自相关。服务端固定 PRE_CHECK/PASS 的全部 Alpha ID，不受当前 Tab、筛选、选中行或分页限制。复用后台自相关计算与缓存更新，覆盖已有结果；运行中重复点击复用任务，完成后允许新一轮；无目标直接完成。不额外刷新已有 PnL，缺少缓存时沿用补取行为。
+
+## Comments
+实现完成，正在验证。
+
+验证完成：26 项后端测试通过，覆盖 105 条全量目标、覆盖已有结果、排除失败状态、空集合、运行中复用及完成后重复执行；浏览器确认按钮同排位于按天同步左侧，叠加筛选后仍发起全量任务，空目标有提示。任务面板复用计算阶段与基准准备进度。ruff、生产构建（含类型检查）和 diff 检查通过。未提交、未部署。

.scratch/local-correlation-filter/issues/01-filter.md

@@ -0,0 +1,10 @@
+# Alpha 管理本地自相关筛选
+Status: ready-for-agent
+Type: task
+
+支持按列表展示状态与缓存相关系数范围组合筛选，范围 -1～1 且下限不大于上限。待重算优先于缓存结果状态，未检测仅匹配无缓存。共用后端查询，保留分页、导出和保存视图的一致性，无数据库迁移。
+
+## Comments
+已实现，正在验证状态、边界、空缓存和组合筛选。
+
+完成验证：23 项后端测试通过（状态优先级、负数/零值、0.7/0.75 边界、无缓存、分页、导出与输入校验）；浏览器验证叠加提交受阻 Tab、状态、小数范围、保存恢复与重置通过。ruff、生产构建（含 TypeScript）及 diff 检查通过。首次浏览器脚本使用了不匹配 Semi 实际无障碍名称的定位器，调整为实际可见文本后通过；未改组件行为。无需迁移，未提交、未部署。

.scratch/ppac-candidate/issues/01-fixed-tab.md

@@ -0,0 +1,24 @@
+# Alpha 管理候选PPAC
+Type: task
+Status: ready-for-agent
+
+用户要求新增固定候选清单，并将对应检查结果显示为黄色“候选PPAC”Tag。
+
+## 实现范围
+
+- 仅有一项 Alpha FAIL 且名称为 PURE_POWER_POOL_THEME 时，检查结果派生为 PPAC_CANDIDATE；REGULAR_SUBMISSION 沿用既有排除口径，WARNING/PENDING 不计失败。
+- 固定“候选PPAC”Tab 通过 ppac_candidate=true 在数据库分页前筛选未提交候选；叠加筛选、分页、导出、保存/恢复视图及 AI 页面上下文保持一致。
+- 列表和详情显示黄色候选状态，保留原始 FAIL 检查证据与本地研究记录。候选身份不表示当前可正式提交。
+- 迁移 0022 复用已有 check_type 索引，仅重分类匹配的历史缓存。同步和主动检查沿用 snapshot_columns 自动刷新分类。
+
+## 验证
+
+分类边界、组合筛选/分页/导出、同步与主动检查后的状态迁移、隔离历史迁移、后端静态检查、前端构建和浏览器固定 Tab/黄色 Tag/保存恢复/窄屏验证。
+
+## Comments
+
+已完成本地实现与验证：95 项后端回归通过，包含分类边界、真实业务执行器对模拟 /check 的状态刷新、筛选/分页/导出/保存视图、503 条历史缓存的升级/降级/再升级及迁移 schema check；Ruff、TypeScript 与生产构建通过。
+
+原有 Alpha 管理、提交受阻和本地相关性筛选 3 项浏览器回归通过。另在隔离临时库使用 56 条合成 PPAC Alpha 验证：固定 Tab、列表/详情黄色 Tag、原始 FAIL 保留、跨页勾选、搜索后回第一页及清空选择、保存/恢复视图、空结果和重置保持候选范围。1920px 桌面与 720px 窄屏完成截图检查，行高为 40px，窄屏分页底部 887px 位于 900px 视口内，页面未横向溢出，表体可独立横向滚动。
+
+截图位于忽略目录 output/playwright/ppac-candidate-{desktop,detail,narrow}.png。构建保留已有 lottie eval 和大包提示；浏览器仅有登录前 auth/me 的 401 与 favicon 404。未部署、未迁移实际业务数据库、未请求真实平台。

.scratch/pyramid-mcp/issues/01-distribution.md

@@ -0,0 +1,15 @@
+# Pyramid distribution MCP
+Status: ready-for-agent
+
+按 region/delay 实时读取本季度个人 Pyramid 分布，按 >=3、1–2、0 分组。
+复用平台认证和 MCP 只读权限；缺失或非法计数不能当作零。
+验证 MCP 调用、边界值、输入/上游错误，并展示实时样例。不发布、不提交。
+
+## Comments
+
+- 已实现 get_pyramid_distribution(region, delay)，复用现有 WqClient 和 research:read。
+- 实测传日期后返回全零，日期参数语义尚未确认；最终使用已验证的无日期请求，period=platform_default，不宣称独立验证季度边界。
+- MCP 及新功能 20 项测试通过，Ruff / diff check 通过。使用内存数据库隔离认证令牌与审计，通过 MCP invoke 调用真实平台：USA/D1 已点亮0类、进行中5类、零计数11类。
+
+- 按用户新要求改为必传 current_date，自动计算完整自然季度，发送 startDate/endDate；不再使用默认周期。2026-09-13 对应 2026-07-01 至 2026-09-30。
+- 33 项测试通过（含四季度边界、跨年、闰日、日期校验），Ruff 通过。真实 MCP invoke：USA/D1 全零；GLB/D1 fundamental/risk 各3；AMR/D1 risk 为1，其余零。此前默认周期样例已被此次明确季度结果替代。

.scratch/shared-simulation-settings/issues/01-implementation.md

@@ -0,0 +1,15 @@
+# 实现与验证
+Type: task
+Status: ready-for-agent
+
+- [x] 补齐设置选项元数据与测试
+- [x] 实现 ScopePicker 与 SimulationSettingsEditor
+- [x] 接入目录及三个回测入口
+- [x] 类型检查、后端测试、浏览器回归
+
+## Comments
+用户已批准方案，本轮开始实现；不修改旧项目。
+
+实现完成（2026-09-12）。新增共享选项模型、ScopePicker、SimulationSettingsEditor；目录通过 ScopeControls 兼容入口复用，三个回测入口使用同一编辑器。补齐服务端字段 choices/数值范围及 Delay/Universe 依赖解析，保留快照兼容。移除隐式 JSON 覆盖，历史 JSON 逐项校验且不覆盖原文。
+
+验证：后端相关 60 项通过；ruff check app tests 通过；前端 build（含类型检查）通过。前端相关 12 项验收通过（backtests 3、dataset 3、research-flows 1、research-outcomes 1、settings 4）；最后的选项过滤及收起态提示变更另复跑 settings 4 项通过。已查看桌面/390px 参数截图和集合内嵌选择面板截图。测试使用隔离数据库与模拟上游，没有访问真实 WorldQuant 或部署。构建保留既有 lottie eval 与包体积警告。

.scratch/shared-simulation-settings/spec.md

@@ -0,0 +1,5 @@
+# 通用组合与回测参数组件
+
+用户已确认开发。组合采用左摘要、右选择按钮，展开后以临时值编辑，应用时原子提交；取消不影响调用方。保留平台、本地与固定输入三种范围语义。回测表单复用组合选择；有 choices 的字段使用下拉，范围数值使用数字输入。参数选项与联动校验集中维护，历史非法值可见但不可预览。移除共用参数 JSON 隐式覆盖，保留独立候选 JSON 模式及服务端校验。
+
+接入数据准备、数据/字段目录、回测准备、研究工作台、自动研究启动。补齐设置快照字段元数据，保留已有 items 兼容性。验收覆盖选项解析、联动/取消、固定范围、错误重试、最终参数一致性与窄屏。

.scratch/submission-blocked/issues/01-fixed-tab.md

@@ -0,0 +1,11 @@
+# Alpha 管理固定提交受阻 Tab
+Status: ready-for-agent
+Type: task
+
+筛选未提交且最近缓存 REGULAR_SUBMISSION=FAIL 的 Alpha。条件在后端分页前执行，与其他参数、导出、保存视图一致；同步和平台检查更新缓存时同步刷新索引字段。新增迁移回填历史记录，不改变质量检查分类。
+
+## Comments
+实现中；待 API、迁移及前端检查。
+
+已完成：固定 Tab、组合筛选、分页与导出、保存视图及恢复，迁移 0020 回填历史缓存；同步和 /check 共用 snapshot_columns 更新受阻标记。
+验证：首轮 19 项后端测试通过；最终相关回归 99 项通过（含 503 行迁移回填、降级、再升级及 schema check）；浏览器验证切换、叠加搜索、保存恢复和重置通过；ruff、TypeScript、生产构建及 diff 检查通过。构建保留既有 lottie eval 与大包提示。未部署、未提交。

.scratch/submission-limit-classification/issues/01-implementation.md

@@ -0,0 +1,17 @@
+# 分离 Alpha 检查和提交限制
+Type: task
+Status: ready-for-agent
+
+用户已批准实现。保留 REGULAR_SUBMISSION 原始证据，将其从 Alpha 失败统计及待定判定中分离；HTTP/MCP 提供分类摘要，页面单独展示缓存限制；迁移仅重算历史 check_type。未知检查保持保守，不推断实时额度、恢复时间或正式提交资格。
+
+验证：分类边界、模拟平台检查到持久化和 MCP/HTTP 返回、研究筛选、历史迁移、后端检查及前端构建。
+
+## 完成记录
+
+已实现并完成本地验证：后端 471 项全量测试通过；最终调整后 23 项专项测试通过；Ruff 与 git diff --check 通过；前端构建通过；Alpha 管理和工作空间 3 项浏览器回归通过。迁移 0018 在隔离 SQLite 中验证 503 条记录的升级、降级、再升级和原始证据保留。尚未部署或对业务数据库执行迁移；Docker 后端部署启动时按既有流程执行 alembic upgrade head。
+
+## Comments
+
+用户后续确认恢复旧项目阶段语义：同步非空有效检查无 FAIL 为 PRE_CHECK，主动 /check 完成无 FAIL 为 PASS，PENDING/WARNING 不算失败；异常、空结果保留待定。同步刷新采用新的同步快照重新分类，不沿用旧检查阶段。MCP/HTTP 使用数据库派生状态；迁移 0019 使用晚于 synced_at 的已保存 checked 检查点识别历史主动检查，其余归同步阶段。保留 0018 历史迁移和所有原始 checks。
+
+阶段逻辑调整已完成：后端 499 项测试通过，含同步→主动检查→再同步、MCP PENDING/WARNING 返回和 503 条历史记录迁移；Ruff、git diff --check、前端构建通过。预检通过使用蓝色 Tag。未部署，未迁移实际业务数据库。

.scratch/superalpha/issues/01-implementation.md

@@ -0,0 +1,22 @@
+# Super Alpha 研究、管理及通用回测接入
+
+Status: ready-for-agent
+Outcome: implemented
+
+## 工作项
+
+- [x] 公共契约、组件快照和增量迁移
+- [x] 通用回测及结果证据支持 SUPER
+- [x] 方案、Selection 任务和 MCP
+- [x] 研究及管理页面、路由和范围隔离
+- [x] 模拟平台测试、构建、浏览器及迁移验证
+
+## Comments
+
+2026-09-13：开始实施用户已确认计划。只执行本地模拟验证，保护已有 Pyramid MCP 改动。
+
+2026-09-13：完成两个菜单、共享 SUPER 回测契约、方案版本与构造记录、独立组件证据、8 个 MCP 工具及通用工具扩展。使用文档已更新至 docs/mcp-research.md。
+
+验证记录：后端全量 540 项通过；后续元数据、来源和幂等调整后的针对性回归分别 44 项、30 项通过。前端类型检查与构建通过；Super Alpha、原回测、管理、MCP Key、研究导航、侧栏和原工作空间浏览器场景均通过。新列表验证了 40px 行高，检查 1440/850/390px 视口。迁移 0021 在专用临时 PostgreSQL 中完成回退/重升级、历史 REGULAR 回测及已有 SUPER/备注保留、SUPER 完整闭环与并发幂等验证。
+
+范围：只使用模拟平台和可丢弃的本地测试数据库；未迁移用户运行库，未执行真实 SUPER 模拟、正式 Alpha 提交、部署或 git 提交。升级运行环境时需应用 0021；真实 SUPER 模拟须按用户计划另行授权验收。构建保留既有的大包及 lottie-web eval 提示。

.scratch/superalpha/spec.md

@@ -0,0 +1,14 @@
+# Super Alpha 研究与管理
+
+按用户 2026-09-13 确认的功能规划实施。
+
+- 新增 Super Alpha 研究（方案、版本、Selection 预览、参数展开、固定候选及对照）和 Super Alpha 管理菜单。
+- 管理菜单以 SUPER / 非 SUPER 分流，共用 Alpha 记录、同步、备注和检查。网页 AI 只识别新页面和对象。
+- 复用通用回测、研究资产和不可变版本。SUPER 候选包含 selection/combo/完整设置，每个 SUPER 单独发平台请求，共用配额与恢复。
+- 组件预览与实际组件证据独立，保存请求指纹、组件指纹、时间和完整性。未知不等于通过。
+- 增加方案查询/读取/保存、Selection 预览/读取、候选构造及 SUPER 成果查询/读取 MCP 工具，回测仍使用通用工具。
+- 不实现自动研究循环、独立调度器或正式 Alpha 提交；不调用真实模拟或收费模型。
+
+验收：网页及 MCP 完整闭环、范围隔离、版本及幂等、组件异常、SUPER 回测恢复与历史 REGULAR 兼容；后端测试、前端构建、浏览器和独立迁移验证。
+
+已有 Pyramid MCP 未提交改动必须保留。

.scratch/template-backtest-flow/issues/01-simplify.md

@@ -0,0 +1,22 @@
+# 简化模板到批量回测流程
+Status: ready-for-agent
+
+## 范围
+模板详情保持编辑、保存、新增版本；回测准备选择数据准备并展开候选，候选集合即用户确认界面，点击回测直接启动批量任务并导航到回测研究。
+模板生成仅保留表达式语法与数据准备/回测参数组合一致性检查；不持久化逐候选校验状态，不依赖算子/字段可用性缓存。字段类型用于候选域选择，不作为表达式类型检查。
+模板侧不提供评估研究结果、变体关系；保留回测来源关联。其他研究生产者的行为不扩大修改。
+
+## 验证
+覆盖语法/组合失败不保存候选、无元数据仍可生成、旧记录不被旧校验状态阻塞、启动幂等与来源、候选分页/选择/直接启动导航。
+
+## 完成结果
+已实现模板独立候选确认界面及单次回测接口，内部在同一事务创建执行快照与批量任务；按账户锁和请求键保证重试幂等，提交后唤醒执行器。
+新模板候选不保存 validation；历史行状态不再参与模板资格判定。旧快照按语法和组合契约读取，其他生产者保留各自检查。
+模板参数选项同步仅辅助选择，不阻塞生成。修改准备参数会移除旧候选；迟到的生成响应不覆盖新的准备状态。
+
+## 验证结果
+- Ruff、前端 typecheck、git diff --check 通过。
+- 后端研究工作区、MCP模板、研究流水线、批量回测：97项通过。
+- 现有设置、研究导航、研究结果浏览器回归：6项通过。
+- Playwright CLI 在隔离模拟环境验证51条候选、跨页选择、40px行高、窄屏滚动、参数变化使候选失效、取消1条后单击回测创建50条任务并导航；无额外预览/评估/变体关系入口，保存来源关联。
+- 未连接真实平台执行回测，未执行生产数据库变更，未提交或推送代码。

.scratch/template-backtest-flow/issues/02-tools.md

@@ -0,0 +1,14 @@
+# 对齐 MCP 与内置 bot 的模板流程
+Status: ready-for-agent
+
+## 范围
+模板来源回测证据改为可选，提供时继续校验真实完整性。MCP 补齐模板版本+数据准备生成候选、分页读取固定候选、按候选 ID 批量回测，沿用权限、幂等、原子事务及审计。
+内置 bot 可直接对模板候选集合请求一次确认，不再单独准备预览；统一模板语法/组合规则与来源。通用回测、SUPER、变体与结果评估工具保持既有职责。
+
+## 验证
+覆盖无来源创建与新增版本、来源错误、分页不截断执行、生成不启动、执行权限隔离、重试幂等及内容冲突、确认前零回测、拒绝/变更确认、提交后唤醒和关联追溯。
+
+## 完成记录
+已实现可选来源证据、MCP 候选生成/分页读取/按集合执行，以及内置 bot 的一次确认回测。模板共用语法与组合一致性规则；完整候选摘要在确认时固定，执行前核对，保持模板来源与调用方审计关联。
+
+验证：相关后端测试共 132 项通过（MCP 模板与研究集成 33 项；MCP/模板工作区/AI/能力回归 99 项，其中 SDK 工具数量断言更新后单独复跑通过）。Ruff 和 git diff --check 通过。使用隔离数据库、模拟模型和平台；未执行真实平台回测。未提交或推送代码。

.scratch/template-detail/issues/01-detail.md

@@ -0,0 +1,14 @@
+# 模板详情与回测准备迭代
+Type: task
+Status: ready-for-human
+
+## 范围
+模板详情移除 AI、假设、导入、删除、历史选择等交互；仅保留名称、类别、研究解释、表达式及占位符类型/描述，操作为保存和新增版本。回测准备按表达式、数据准备、展开选项、回测参数、生成候选集合排列。允许无取值模板保存，展开时按字段类型绑定固定输入；非字段参数不推测。保留现有不可变版本与并发保护，提供 bot 创建及新增版本能力。
+
+## 验证
+类型检查、后端模板保存/展开/版本/bot 回归、浏览器实际交互。
+
+## Answer
+已完成前后端实现。保存修改沿用不可变版本；新增版本允许内容不变时显式创建下一版。模板工坊仅配置字段类型与描述，已有显式 values 仍作为候选限制保留；空 field 从所选固定输入按类型绑定，非字段空参数返回明确 422。新增内置 bot 模板创建/版本能力和外部 MCP 版本、查询能力。
+
+验证：前端 typecheck、改动文件 Ruff、git diff --check 通过。模板与工作空间 50 项测试通过；AI/MCP 回归 39 项通过，1 项因新增工具导致总数断言变化，更新断言后单独复跑通过。两条既有浏览器回归通过。Playwright CLI 实测字段去重/删除、描述保存、类型切换、保存 v1/新增 v2/编辑保存 v3、历史不变、选择数据准备后生成候选且未启动回测。截图位于 output/playwright/template-detail-editor.png 与 template-detail-prepare.png。验证使用隔离数据库和模拟平台。

README.md

@@ -263,7 +263,7 @@ AI 模型兼容性由模拟 Chat Completions/Responses HTTP 流与真实 SDK 适
 
 ### 首页信息与基础信息处理模型
 
-首页提供平台消息、顾问日度排名、已参加比赛与协议、未来活动，独立刷新并保存上次成功快照。消息逐页浏览，活动读取平台分页后按结束时间过滤；日期或排名缺失保持未知。刷新失败保留缓存并提示过期。
+首页提供平台消息、顾问日度排名、已参加比赛与协议、未来活动，独立刷新并保存上次成功快照。公告与社区资讯仅保留最近一个自然月（按美东时间回推），正文及其 AI 解读只暂存在进程内存中，15 分钟到期或服务重启后清除，不存数据库；消息逐页浏览，活动读取平台分页后按结束时间过滤；日期或排名缺失保持未知。刷新失败保留缓存并提示过期。
 
 在大模型服务设置“基础信息处理模型”（沿用 description_model 字段），与 alpha研究使用模型共享连接配置。该模型继续生成 Alpha Description，并用于手动生成首页摘要及比赛规则解读；未配置时仍可查看原始信息，不回退到研究模型。解读保存来源版本及所用模型，来源或连接配置变化后提示待更新，不自动调用模型。比赛解读附原文依据，仅提供信息建议，不执行报名、接受协议或安排任务。
 

backend/app/ai/contracts.py

@@ -45,6 +45,8 @@ class PageContext(Contract):
     page: Literal[
         "home",
         "alphas",
+        "superalphas",
+        "superalpha-research",
         "account",
         "datasets",
         "fields",

backend/app/alphas.py

@@ -7,6 +7,7 @@ from datetime import datetime
 from sqlalchemy import or_, select, update
 
 from .models import Alpha, Research, ResearchTag, SelfCorrelation, now
+from .platform_checks import check_result, split_checks, submission_limits
 from .research.provenance import source_alpha_ids
 
 METRIC_FIELDS = (
@@ -16,32 +17,39 @@ METRIC_FIELDS = (
 
 
 def failed_checks(checks):
-    """Return failed platform check names; local correlation never changes this list."""
+    """Return failed Alpha check names, excluding submission limits and local correlation."""
     return [
         check.get("name") if isinstance(check.get("name"), str) else "未命名检查"
-        for check in checks if isinstance(check, dict) and check.get("result") == "FAIL"
+        for check in split_checks(checks)[0] if isinstance(check, dict) and check_result(check) == "FAIL"
     ] if isinstance(checks, list) else []
 
 
-def snapshot_columns(settings, metrics, checks):
+def snapshot_columns(settings, metrics, checks, *, checked=False):
     """Derive list fields from a platform snapshot, preserving missing metrics as null.
 
-    Only explicit FAIL results count. Empty, malformed and unfinished checks are
-    pending; all known checks passing without PROD_CORRELATION is only a pre-check.
-    No submission eligibility or activity eligibility is inferred here.
+    Submission limits are excluded. Only explicit Alpha FAIL results count.
+    Sync snapshots with no failures are PRE_CHECK; a completed explicit /check
+    with no failures is PASS. WARNING/PENDING do not count as failures, matching
+    the legacy workflow. Empty, malformed or unknown results remain PENDING.
+    A sole PURE_POWER_POOL_THEME failure is a PPAC candidate, not confirmation
+    of current submission or activity eligibility. Raw failures stay available.
     """
     settings = settings if isinstance(settings, dict) else {}
     metrics = metrics if isinstance(metrics, dict) else {}
-    checks = checks if isinstance(checks, list) else []
+    blocked = submission_limits(checks)["status"] == "blocked"
+    checks, _ = split_checks(checks)
     valid = [check for check in checks if isinstance(check, dict)]
-    failures = len(failed_checks(checks))
+    failed_names = failed_checks(checks)
+    failures = len(failed_names)
     by_name = {check["name"]: check for check in valid if isinstance(check.get("name"), str)}
-    if failures:
+    if failed_names == ["PURE_POWER_POOL_THEME"]:
+        check_type = "PPAC_CANDIDATE"
+    elif failures:
         check_type = "FAIL_1" if failures == 1 else "FAIL_2"
-    elif not checks or len(valid) != len(checks) or any(check.get("result") != "PASS" for check in valid):
+    elif not checks or len(valid) != len(checks) or any(check_result(check) not in ("PASS", "WARNING", "PENDING") for check in valid):
         check_type = "PENDING"
     else:
-        check_type = "PASS" if "PROD_CORRELATION" in by_name else "PRE_CHECK"
+        check_type = "PASS" if checked else "PRE_CHECK"
     # /check values are freshest; submitted snapshots also expose a scalar in IS.
     prod_correlation = number(by_name.get("PROD_CORRELATION", {}).get("value"))
     if prod_correlation is None:
@@ -49,6 +57,7 @@ def snapshot_columns(settings, metrics, checks):
     neutralization = settings.get("neutralization")
     return {
         "check_type": check_type,
+        "submission_blocked": blocked,
         "neutralization": neutralization if isinstance(neutralization, str) else None,
         "pnl": number(metrics.get("pnl")),
         "prod_correlation": prod_correlation,
@@ -64,6 +73,16 @@ def snapshot_columns(settings, metrics, checks):
     }
 
 
+def check_summary(checks, *, check_type):
+    """Separate cached Alpha findings from submission limits; infer no live eligibility."""
+    return {
+        "check_type": check_type,
+        "failed_checks": failed_checks(checks),
+        "submission_limits": submission_limits(checks),
+        "meaning": "PRE_CHECK 为同步无失败项；PASS 为主动检查完成且无失败项；PPAC_CANDIDATE 为唯一失败项是 PURE_POWER_POOL_THEME 的候选。PENDING/WARNING 不算失败，不代表全部检查项 PASS 或当前可提交",
+    }
+
+
 def submission_condition(submission):
     """Match the platform list contract; a missing status is never assumed submitted."""
     return Alpha.status == "UNSUBMITTED" if submission == "UNSUBMITTED" else Alpha.status != "UNSUBMITTED"
@@ -174,8 +193,37 @@ async def upsert_alpha(db, raw: dict):
 
 def list_statement(filters):
     query = select(Alpha, Research).join(Research, Research.alpha_id == Alpha.id)
+    if filters.management_scope == "super":
+        query = query.where(Alpha.alpha_type == "SUPER")
+    elif filters.management_scope == "non_super":
+        query = query.where(or_(Alpha.alpha_type != "SUPER", Alpha.alpha_type.is_(None)))
     if filters.submission:
         query = query.where(submission_condition(filters.submission))
+    if filters.submission_blocked is not None:
+        query = query.where(Alpha.submission_blocked == filters.submission_blocked)
+        if filters.submission_blocked:
+            query = query.where(submission_condition("UNSUBMITTED"))
+    if filters.ppac_candidate is not None:
+        candidate = Alpha.check_type == "PPAC_CANDIDATE"
+        query = query.where(candidate if filters.ppac_candidate else ~candidate)
+        if filters.ppac_candidate:
+            query = query.where(submission_condition("UNSUBMITTED"))
+    if (filters.local_correlation_status is not None or filters.local_correlation_min is not None
+            or filters.local_correlation_max is not None):
+        # One cache row per Alpha keeps totals/export stable; stale overrides the displayed status.
+        query = query.outerjoin(SelfCorrelation, SelfCorrelation.alpha_id == Alpha.id)
+        status = filters.local_correlation_status
+        if status == "not_cached":
+            query = query.where(SelfCorrelation.alpha_id.is_(None))
+        elif status == "stale":
+            query = query.where(SelfCorrelation.stale.is_(True))
+        elif status is not None:
+            query = query.where(SelfCorrelation.stale.is_(False), SelfCorrelation.result["status"].as_string() == status)
+        coefficient = SelfCorrelation.result["max_correlation"].as_float()
+        if filters.local_correlation_min is not None:
+            query = query.where(coefficient >= filters.local_correlation_min)
+        if filters.local_correlation_max is not None:
+            query = query.where(coefficient <= filters.local_correlation_max)
     source_filters = {k: getattr(filters, k) for k in ("source", "source_reference", "research_id", "backtest_run_id")}
     if any(source_filters.values()):
         query = query.where(Alpha.id.in_(source_alpha_ids(**source_filters)))
@@ -250,6 +298,11 @@ def summary(item: Alpha, research: Research):
     result = {k: getattr(item, k) for k in keys}
     result["failed_checks"] = failed_checks(item.checks)
     result["expression_preview"] = (item.expression or item.selection or "")[:240]
+    result["selection_preview"], result["combo_preview"] = (item.selection or "")[:240], (item.combo or "")[:240]
+    if item.alpha_type == "SUPER":
+        from .superalpha.evidence import parse_components
+        components = parse_components(item.raw.get("components", item.raw.get("selectedAlphas")))
+        result["component_count"] = len(components["components"]) if components["complete"] else None
     result["research"] = {
         k: getattr(research, k) for k in ("note", "tags", "favorite", "state", "updated_at", "version")
     }

backend/app/backtests/ai_tools.py

@@ -96,7 +96,7 @@ async def wake_backtests(runner, result):
     runner.backtests.wake.set()
 
 
-INSTRUCTIONS = "回测先读取能力再准备固定候选预览，每次运行确认一次；后续候选新建预览。停止生成不取消回测。\n回测结果追问用 get_backtest/get_backtest_results。上下文或历史没有运行 ID 时，可用 list_backtests 按 source=chatbox 和会话 reference 找回；不得把启动返回当作结果。"
+INSTRUCTIONS = "模板集合使用 start_template_backtest 直接请求确认；其他回测先读取能力再准备固定候选预览。每次运行确认一次；后续候选新建预览。停止生成不取消回测。\n回测结果追问用 get_backtest/get_backtest_results。上下文或历史没有运行 ID 时，可用 list_backtests 按 source=chatbox 和会话 reference 找回；不得把启动返回当作结果。"
 
 
 CAPABILITIES = (

backend/app/backtests/contracts.py

@@ -27,25 +27,47 @@ class SimulationSettings(Contract):
     maxPosition: Literal["ON", "OFF"] = "OFF"
 
 
+class SuperSimulationSettings(SimulationSettings):
+    """SUPER-only selection settings; platform metadata still determines availability."""
+
+    selectionHandling: Literal["POSITIVE", "NON_ZERO", "NON_NAN"]
+    selectionLimit: int = Field(ge=1, le=100000, strict=True)
+    componentActivation: Literal["IS", "OS"]
+
+
 class Candidate(Contract):
     client_item_id: str = Field(min_length=1, max_length=100)
-    expression: str = Field(min_length=1, max_length=20000)
-    settings: SimulationSettings
-    alpha_type: Literal["REGULAR"] = "REGULAR"
+    expression: str = Field(default="", max_length=20000)
+    selection: str | None = Field(default=None, max_length=20000)
+    combo: str | None = Field(default=None, max_length=20000)
+    settings: SuperSimulationSettings | SimulationSettings
+    alpha_type: Literal["REGULAR", "SUPER"] = "REGULAR"
 
-    @field_validator("expression")
+    @field_validator("expression", "selection", "combo")
     @classmethod
     def nonempty(cls, value):
-        value = value.strip()
-        if not value:
-            raise ValueError("表达式不能为空")
-        return value
+        return value.strip() if value is not None else None
+
+    @model_validator(mode="after")
+    def typed_input(self):
+        if self.alpha_type == "SUPER":
+            if self.expression or not self.selection or not self.combo:
+                raise ValueError("SUPER 必须提供非空 selection/combo，不能提供 regular expression")
+            if not isinstance(self.settings, SuperSimulationSettings):
+                raise ValueError("SUPER 必须提供 selectionHandling、selectionLimit、componentActivation")
+        elif not self.expression or self.selection is not None or self.combo is not None or isinstance(self.settings, SuperSimulationSettings):
+            raise ValueError("REGULAR 必须提供非空 expression，不能包含 SUPER 表达式或设置")
+        return self
 
     def platform_input(self):
+        if self.alpha_type == "SUPER":
+            return {"type": "SUPER", "selection": self.selection, "combo": self.combo,
+                    "settings": self.settings.model_dump()}
         return {"type": self.alpha_type, "regular": self.expression, "settings": self.settings.model_dump()}
 
 
 class Source(Contract):
+    research_kind: str | None = Field(default=None, max_length=50)
     kind: str = Field(default="manual", min_length=1, max_length=100)
     reference: str | None = Field(default=None, max_length=200)
     batch_id: str | None = Field(default=None, max_length=200)
@@ -54,6 +76,9 @@ class Source(Contract):
     research_id: str | None = Field(default=None, max_length=200)
     parent_run_id: str | None = Field(default=None, max_length=36)
     hypothesis: str | None = Field(default=None, max_length=2000)
+    superalpha_plan_id: str | None = Field(default=None, max_length=36)
+    superalpha_plan_version: int | None = Field(default=None, ge=1)
+    selection_snapshot_ids: list[str] = Field(default_factory=list, max_length=100)
 
 
 class SourceOutput(Source):
@@ -129,7 +154,7 @@ def fingerprint(payload: dict) -> str:
 
 def group_key(candidate: dict):
     settings = candidate["settings"]
-    return tuple(settings[k] for k in ("region", "delay", "language", "instrumentType"))
+    return (candidate.get("alpha_type", "REGULAR"), *tuple(settings[k] for k in ("region", "delay", "language", "instrumentType")))
 
 
 class ReferenceInput(Contract):
@@ -203,7 +228,10 @@ class ItemOutput(Contract):
     id: str
     client_item_id: str
     expression: str
-    settings: SimulationSettings
+    alpha_type: Literal["REGULAR", "SUPER"] = "REGULAR"
+    selection: str | None = None
+    combo: str | None = None
+    settings: SuperSimulationSettings | SimulationSettings
     attempt_id: str
     platform_status: str
     collection_status: str

backend/app/backtests/routes.py

@@ -1,5 +1,7 @@
 """Authenticated adapters; every mutation is committed before the execution lane wakes."""
 
+from typing import Literal
+
 from fastapi import APIRouter, Depends, Query, Request
 
 from ..business import Business
@@ -48,9 +50,16 @@ async def configure(body: SchedulerInput, request: Request):
 
 
 @router.get("/drafts")
-async def drafts(request: Request, limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+async def drafts(
+    request: Request,
+    limit: int = Query(25, ge=1, le=100),
+    offset: int = Query(0, ge=0),
+    q: str = Query("", max_length=200),
+    sort: Literal["name", "updated_at"] = "updated_at",
+    direction: Literal["asc", "desc"] = "desc",
+):
     async with request.app.state.sessions() as db:
-        return await Business(db).backtests.drafts(limit, offset)
+        return await Business(db).backtests.drafts(limit, offset, q, sort, direction)
 
 
 @router.post("/drafts", status_code=201)
@@ -108,9 +117,15 @@ async def runs(
     source: str | None = Query(None, max_length=100),
     reference: str | None = Query(None, max_length=200),
     research_id: str | None = Query(None, max_length=200),
+    alpha_type: Literal["REGULAR", "SUPER"] | None = None,
+    q: str = Query("", max_length=200),
+    sort: Literal["name", "created_at"] = "created_at",
+    direction: Literal["asc", "desc"] = "desc",
 ):
     async with request.app.state.sessions() as db:
-        return await Business(db).backtests.runs(limit, offset, source, reference, research_id)
+        return await Business(db).backtests.runs(
+            limit, offset, source, reference, research_id, q, sort, direction, alpha_type
+        )
 
 
 @router.get("/sources", response_model=list[str])
@@ -181,3 +196,17 @@ async def attach_reference(attempt_id: str, body: ReferenceInput, request: Reque
 async def subset(preview_id: str, body: SubsetInput, request: Request):
     async with request.app.state.sessions.begin() as db:
         return await Business(db).backtests.subset(preview_id, body)
+
+
+@router.get("/items/{item_id}/artifact")
+async def artifact(item_id: str, request: Request, kind: Literal["snapshot", "components", "pnl"], limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    from fastapi import HTTPException
+
+    from ..research_access.contracts import Artifact
+    from ..research_access.queries import EvidenceQueries
+    from ..research_access.service import ResearchError
+    async with request.app.state.sessions() as db:
+        try:
+            return await EvidenceQueries(db).artifact(Artifact(item_id=item_id, kind=kind, limit=limit, offset=offset))
+        except ResearchError as exc:
+            raise HTTPException(404, str(exc)) from None

backend/app/backtests/runtime.py

@@ -448,7 +448,7 @@ class BacktestLane:
 
     def safe_progress(self, value):
         # Store useful protocol evidence, never arbitrary upstream diagnostics or credentials.
-        result = {k: value[k] for k in ("status", "alpha", "regular", "settings", "location") if k in value}
+        result = {k: value[k] for k in ("status", "type", "alpha", "regular", "selection", "combo", "settings", "location", "warnings") if k in value}
         message = value.get("error") or value.get("message")
         if isinstance(message, str):
             for secret in list(self.client.credentials or ()) + list(self.client.client.cookies.values()):
@@ -485,11 +485,13 @@ class BacktestLane:
             matched = [
                 i
                 for i in items
-                if i.expression == expression
+                if ((i.alpha_type == "REGULAR" and evidence.get("type", "REGULAR") == "REGULAR" and i.expression == expression)
+                    or (i.alpha_type == "SUPER" and evidence.get("type") == "SUPER"
+                        and i.selection == code(evidence.get("selection")) and i.combo == code(evidence.get("combo"))))
                 and isinstance(settings, dict)
                 and all(k in settings and settings[k] == v for k, v in i.settings.items())
             ]
-            if count == 1:
+            if count == 1 and items[0].alpha_type == "REGULAR":
                 matched = (
                     items
                     if (expression == items[0].expression or (not expression and detail is None))
@@ -499,6 +501,9 @@ class BacktestLane:
                     )
                     else []
                 )
+            if count == 1 and items[0].alpha_type == "SUPER" and detail is None:
+                # A known receipt can record progress, but saving SUPER requires full type/input evidence.
+                matched = items if not any(k in evidence for k in ("type", "selection", "combo", "settings")) else matched
             # Identical inputs within a multi-submit are intentionally not position-matched.
             if len(matched) != 1 or (matched[0].simulation_id not in (None, child)):
                 return
@@ -513,6 +518,9 @@ class BacktestLane:
                 if not await db.get(BacktestResult, item.id):
                     from datetime import datetime
 
+                    if item.alpha_type == "SUPER":
+                        from ..superalpha.evidence import save_actual_components
+                        await save_actual_components(db, item, detail, receipt["observed_at"])
                     db.add(
                         BacktestResult(
                             item_id=item.id,

backend/app/backtests/service.py

@@ -93,7 +93,7 @@ class Backtests:
 
     async def capabilities(self):
         return {
-            "alpha_types": ["REGULAR"],
+            "alpha_types": ["REGULAR", "SUPER"],
             "languages": ["FASTEXPR"],
             "instrument_types": ["EQUITY"],
             "settings_schema": Candidate.model_json_schema(),
@@ -111,6 +111,8 @@ class Backtests:
         from ..research.expressions import analyze
         if not body.preparation_refs and not body.input_ids:
             return
+        if any(c.alpha_type == "SUPER" for c in body.candidates):
+            raise HTTPException(422, "SUPER 组件快照不能使用字段数据准备集合")
         await Preparations(self.db).bind(body)
         snapshots = [await Preparations(self.db).snapshot(i) for i in body.input_ids]
         for candidate in body.candidates:
@@ -151,11 +153,16 @@ class Backtests:
         await self.db.flush()
         return await self.draft(draft_id)
 
-    async def drafts(self, limit=25, offset=0):
+    async def drafts(self, limit=25, offset=0, q="", sort="updated_at", direction="desc"):
+        query = select(BacktestDraft)
+        if q:
+            query = query.where(BacktestDraft.name.contains(q, autoescape=True))
+        column = {"name": BacktestDraft.name, "updated_at": BacktestDraft.updated_at}[sort]
+        order = column.asc() if direction == "asc" else column.desc()
         rows = (
             await self.db.scalars(
-                select(BacktestDraft)
-                .order_by(BacktestDraft.updated_at.desc(), BacktestDraft.id)
+                query
+                .order_by(order, BacktestDraft.id)
                 .limit(limit)
                 .offset(offset)
             )
@@ -173,7 +180,7 @@ class Backtests:
                 )
                 for r in rows
             ],
-            "total": await self.db.scalar(select(func.count()).select_from(BacktestDraft)),
+            "total": await self.db.scalar(select(func.count()).select_from(query.subquery())),
             "limit": limit,
             "offset": offset,
         }
@@ -216,6 +223,8 @@ class Backtests:
                 if len(candidates) != len(selection):
                     raise HTTPException(422, "选择包含不属于当前草稿的候选")
             data = {"name": draft.name, "source": draft.source, "candidates": candidates}
+        from ..superalpha.service import validate_source
+        await validate_source(self.db, data["source"], data["candidates"])
         candidates = DraftInput.model_validate(data).model_dump(mode="json")["candidates"]
         config = await self.db.get(BacktestConfig, 1)
         groups = defaultdict(list)
@@ -248,6 +257,9 @@ class Backtests:
         for indices in groups.values():
             local_batches = []
             for index in indices:
+                if candidates[index]["alpha_type"] == "SUPER":
+                    batches.append([index])
+                    continue
                 batch = next(
                     (
                         b
@@ -347,6 +359,7 @@ class Backtests:
                         ordinal=i,
                         client_item_id=c.client_item_id,
                         expression=c.expression,
+                        alpha_type=c.alpha_type, selection=c.selection, combo=c.combo,
                         settings=c.settings.model_dump(),
                         fingerprint=fingerprint(c.platform_input()),
                     )
@@ -355,15 +368,21 @@ class Backtests:
         await self.db.flush()
         return await self.run(run.id)
 
-    async def runs(self, limit=25, offset=0, source=None, reference=None, research_id=None):
+    async def runs(self, limit=25, offset=0, source=None, reference=None, research_id=None, q="", sort="created_at", direction="desc", alpha_type=None):
         query = select(BacktestRun)
+        if alpha_type:
+            query = query.where(BacktestRun.id.in_(select(BacktestItem.run_id).where(BacktestItem.alpha_type == alpha_type)))
+        if q:
+            query = query.where(BacktestRun.name.contains(q, autoescape=True))
+        column = {"name": BacktestRun.name, "created_at": BacktestRun.created_at}[sort]
+        order = column.asc() if direction == "asc" else column.desc()
         for key, value in (("kind", source), ("reference", reference), ("research_id", research_id)):
             if value:
                 query = query.where(BacktestRun.source[key].as_string() == value)
         total = await self.db.scalar(select(func.count()).select_from(query.subquery()))
         rows = (
             await self.db.scalars(
-                query.order_by(BacktestRun.created_at.desc(), BacktestRun.id).limit(limit).offset(offset)
+                query.order_by(order, BacktestRun.id).limit(limit).offset(offset)
             )
         ).all()
         return {
@@ -451,7 +470,7 @@ class Backtests:
                             for k in (
                                 "id",
                                 "client_item_id",
-                                "expression",
+                                "expression", "alpha_type", "selection", "combo",
                                 "settings",
                                 "attempt_id",
                                 "platform_status",
@@ -601,7 +620,8 @@ class Backtests:
                     source=Source.model_validate({**run.source, "parent_run_id": run.id}),
                     candidates=[
                         Candidate(
-                            client_item_id=r.client_item_id, expression=r.expression, settings=r.settings
+                            client_item_id=r.client_item_id, expression=r.expression, settings=r.settings,
+                            alpha_type=r.alpha_type, selection=r.selection, combo=r.combo
                         )
                         for r in selected
                     ],

backend/app/business.py

@@ -91,27 +91,29 @@ class Business:
             else None,
         }
 
-    async def get_alpha_facets(self):
+    async def get_alpha_facets(self, management_scope=None):
+        from .schemas import AlphaFilters
+        ids = list_statement(AlphaFilters(management_scope=management_scope)).with_only_columns(Alpha.id)
         result = {}
         for key in ("region", "universe", "alpha_type", "language", "status", "stage"):
             column = getattr(Alpha, key)
             result[key] = list(
                 (
                     await self.db.scalars(
-                        select(column).where(column.is_not(None)).distinct().order_by(column)
+                        select(column).where(column.is_not(None), Alpha.id.in_(ids)).distinct().order_by(column)
                     )
                 ).all()
             )
         result["tags"] = list(
-            (await self.db.scalars(select(ResearchTag.tag).distinct().order_by(ResearchTag.tag))).all()
+            (await self.db.scalars(select(ResearchTag.tag).where(ResearchTag.alpha_id.in_(ids)).distinct().order_by(ResearchTag.tag))).all()
         )
-        result["total"] = await self.db.scalar(select(func.count()).select_from(Alpha))
+        result["total"] = await self.db.scalar(select(func.count()).select_from(Alpha).where(Alpha.id.in_(ids)))
         result["favorites"] = await self.db.scalar(
-            select(func.count()).select_from(Research).where(Research.favorite.is_(True))
+            select(func.count()).select_from(Research).where(Research.favorite.is_(True), Research.alpha_id.in_(ids))
         )
-        result["last_sync"] = await self.db.scalar(select(func.max(Alpha.synced_at)))
+        result["last_sync"] = await self.db.scalar(select(func.max(Alpha.synced_at)).where(Alpha.id.in_(ids)))
         result["source"] = sorted(
-            {kind for kinds in (await source_kinds(self.db)).values() for kind in kinds}
+            {kind for kinds in (await source_kinds(self.db, list(await self.db.scalars(ids)))).values() for kind in kinds}
         )
         return result
 
@@ -193,7 +195,7 @@ class Business:
 
     async def create_sync_job(self, body: JobInput):
         account = await self.db.scalar(select(Account).where(Account.id == 1).with_for_update())
-        if body.kind != "self_correlation" and (
+        if body.kind not in ("self_correlation", "self_correlation_recheck") and (
             not account.password_encrypted or account.connection_status in ("disconnected", "error")
         ):
             raise HTTPException(409, "请先连接 WorldQuant")
@@ -205,9 +207,18 @@ class Business:
         for job in (
             await self.db.scalars(select(Job).where(Job.kind == body.kind, Job.status.in_(ACTIVE)))
         ).all():
-            if body.kind == "pnl_backfill" or job.payload == payload:
+            if body.kind in ("pnl_backfill", "self_correlation_recheck") or job.payload == payload:
                 return JobOutput.model_validate(job).model_dump(mode="json")
         job = Job(id=str(uuid4()), kind=body.kind, payload=payload)
+        if body.kind == "self_correlation_recheck":
+            # Freeze every qualifying target at click time, without the manual-ID batch limit.
+            ids = list((await self.db.scalars(
+                select(Alpha.id).where(Alpha.check_type.in_(("PRE_CHECK", "PASS"))).order_by(Alpha.id)
+            )).all())
+            job.payload = {"alpha_ids": ids}
+            job.total = len(ids)
+            if not ids:
+                job.status = "completed"
         if body.kind == "pnl_backfill":
             # Fix the full missing set on the server, independently of UI paging.
             # The account lock above also serializes duplicate button clicks.

backend/app/catalog/research_metadata.py

@@ -30,7 +30,7 @@ def setting_rows(data):
     try:
         children = data["actions"]["POST"]["settings"]["children"]
 
-        def choices(key, instrument=None, region=None):
+        def choices(key, instrument=None, region=None, delay=None, universe=None):
             value = children[key]["choices"]
             if isinstance(value, dict) and "instrumentType" in value:
                 value = value["instrumentType"][instrument]
@@ -38,6 +38,14 @@ def setting_rows(data):
                 value = value[instrument]
             if isinstance(value, dict) and "region" in value:
                 value = value["region"][region]
+            for dimension, selected in (("delay", delay), ("universe", universe)):
+                if isinstance(value, dict) and dimension in value:
+                    branches = value[dimension]
+                    if not isinstance(branches, dict):
+                        raise ValueError()
+                    value = branches.get(str(selected), branches.get(selected))
+            if not isinstance(value, list):
+                raise ValueError()
             return [item["value"] for item in value]
 
         rows = []
@@ -48,12 +56,30 @@ def setting_rows(data):
                 for delay in choices("delay", instrument, region):
                     if type(delay) is not int or delay not in (0, 1):
                         continue
-                    for universe in choices("universe", instrument, region):
+                    for universe in choices("universe", instrument, region, delay):
                         neutralizations = (
-                            choices("neutralization", instrument, region)
+                            choices("neutralization", instrument, region, delay, universe)
                             if "neutralization" in children
                             else []
                         )
+                        fields = {}
+                        for key in (
+                            "decay", "truncation", "pasteurization", "unitHandling",
+                            "nanHandling", "language", "visualization", "maxTrade", "maxPosition",
+                            "selectionHandling", "selectionLimit", "componentActivation",
+                        ):
+                            definition = children.get(key)
+                            if not isinstance(definition, dict):
+                                continue
+                            field = {}
+                            if "choices" in definition:
+                                field["choices"] = choices(key, instrument, region, delay, universe)
+                                if any(type(v) not in (str, int, float, bool) for v in field["choices"]):
+                                    raise ValueError()
+                            for source, target in (("min_value", "minimum"), ("max_value", "maximum")):
+                                if type(definition.get(source)) in (int, float):
+                                    field[target] = definition[source]
+                            fields[key] = field
                         rows.append(
                             {
                                 "instrument_type": instrument,
@@ -61,6 +87,7 @@ def setting_rows(data):
                                 "universe": universe,
                                 "delay": delay,
                                 "neutralizations": neutralizations,
+                                "fields": fields,
                             }
                         )
         if not rows:
@@ -174,11 +201,15 @@ class ResearchMetadata:
                 raise HTTPException(502, "算子分页提前结束")
         raise HTTPException(502, "算子分页超过本地限制，未发布新快照")
 
-    async def operators(self, q="", category=None, favorite=False, limit=25, offset=0):
+    async def operators(self, q="", category=None, favorite=False, limit=25, offset=0, stage=None):
         snapshot = await self.get("operators")
         notes = {r.name: r for r in await self.db.scalars(select(OperatorNote))}
         rows = []
         for item in snapshot["content"].get("items", []):
+            scopes = item.get("scope") or []
+            scopes = scopes if isinstance(scopes, list) else [scopes]
+            if stage and stage.upper() not in [str(s).upper() for s in scopes]:
+                continue
             note = notes.get(item["name"])
             if q.lower() not in json.dumps(item, ensure_ascii=False).lower() or (
                 category and item["category"] != category

backend/app/catalog/research_routes.py

@@ -18,11 +18,12 @@ async def operators(
     q: str = "",
     category: str | None = None,
     favorite: bool = False,
+    stage: str | None = None,
     limit: int = Query(25, ge=1, le=100),
     offset: int = Query(0, ge=0),
 ):
     async with request.app.state.sessions() as db:
-        return await ResearchMetadata(db).operators(q, category, favorite, limit, offset)
+        return await ResearchMetadata(db).operators(q, category, favorite, limit, offset, stage)
 
 
 @router.post("/operators/refresh")

backend/app/home_information.py

@@ -4,6 +4,7 @@ Only allowlisted platform paths are fetched. HTML is converted to inert text;
 platform content is never an instruction and never supplies model/tool endpoints.
 """
 import asyncio
+import calendar
 import hashlib
 import json
 import math
@@ -131,10 +132,10 @@ def next_offset(data, path, current):
         raise WqError("平台分页信息无法识别", "invalid_response") from None
 
 
-async def all_pages(client, path):
+async def all_pages(client, path, limit=None):
     output, offset = [], 0
     for _ in range(100):
-        data = await client.get(path, params={"offset": offset})
+        data = await client.get(path, params={"offset": offset, **({"limit": limit} if limit else {})})
         output.extend(rows(data))
         offset = next_offset(data, path, offset)
         if offset is None:
@@ -160,14 +161,17 @@ def competition(item, user):
 async def source(client, module, user, offset, cid):
     if module == "messages":
         path = "/users/self/messages"
-        data = await client.get(path, params={"offset": offset})
         items = []
-        for item in rows(data):
+        for item in await all_pages(client, path, limit=100):
+            created = instant(item.get("dateCreated"))
+            if not created or not month_start() <= created <= now():
+                continue
             body, links = plain(item.get("description"))
             items.append(dict(id=text(item.get("id")), title=text(item.get("title")) or "平台消息",
                               type=text(item.get("type")), date=text(item.get("dateCreated")),
                               description=body, links=links, url="https://platform.worldquantbrain.com/messages/" + ("announcements" if item.get("type") == "ANNOUNCEMENT" else "notifications")))
-        return dict(items=items, offset=offset, next_offset=next_offset(data, path, offset), total=number(data.get("count")))
+        items.sort(key=lambda item: instant(item["date"]), reverse=True)
+        return dict(items=items)
     if module == "leaderboard":
         data = await client.get("/consultant/boards/leader", params={"user": user})
         matches = [r for r in rows(data) if r.get("user") == user]
@@ -227,8 +231,74 @@ def config_version(config):
     return digest([config.description_model, config.base_url, config.api_key_encrypted, config.protocol])
 
 
+def month_start():
+    """One calendar month before the Eastern wall time, clamped at month end."""
+    at = now().astimezone(EASTERN)
+    year, month = (at.year, at.month - 1) if at.month > 1 else (at.year - 1, 12)
+    return at.replace(year=year, month=month, day=min(at.day, calendar.monthrange(year, month)[1]))
+
+
+def message_page(request, user, offset):
+    """Return a detached page; neither source text nor AI output enters an ORM session."""
+    cached = request.app.state.home_message_cache.get(user)
+    if cached is None:
+        return None
+    if now() - cached.created_at >= timedelta(minutes=15):
+        del request.app.state.home_message_cache[user]
+        return None
+    content = None
+    if cached.content is not None:
+        # Enforce the rolling boundary even on cached reads and generation commits.
+        filtered = [item for item in cached.content["items"]
+                    if month_start() <= instant(item["date"]) <= now()]
+        if len(filtered) != len(cached.content["items"]):
+            cached.analyses.clear()
+        cached.content = {"items": filtered}
+        items = cached.content["items"]
+        content = dict(items=items[offset:offset + 10], total=len(items), offset=offset,
+                       next_offset=offset + 10 if offset + 10 < len(items) else None)
+    return SimpleNamespace(content=content, version=digest(content), fetched_at=cached.fetched_at,
+                           error=cached.error, analysis=cached.analyses.get(offset))
+
+
+async def read_messages(request, user, offset, refresh):
+    """Keep only a 15-minute in-process cache; restart/expiry discards interpretations too."""
+    async with lock(request, (user, "messages")):
+        cache = request.app.state.home_message_cache
+        for owner, entry in list(cache.items()):
+            if now() - entry.created_at >= timedelta(minutes=15):
+                del cache[owner]
+        cached = cache.get(user)
+        if cached is not None and not refresh:
+            return message_page(request, user, offset)
+        try:
+            content = await source(request.app.state.runner.client, "messages", user, 0, "")
+            error = None
+        except WqError as exc:
+            content, error = None, str(exc)
+        if await identity(request) != user:
+            raise HTTPException(409, "账户已变化，请重新读取信息")
+        if cached is None:
+            cached = SimpleNamespace(content=None, fetched_at=None, created_at=now(), error=None, analyses={})
+            cache[user] = cached
+        cached.error = error
+        if content is not None:
+            if cached.content != content:
+                cached.analyses.clear()
+            cached.content, cached.fetched_at = content, now()
+        return message_page(request, user, offset)
+
+
+async def cached_record(request, db, user, module, offset, key):
+    if module == "messages":
+        return message_page(request, user, offset)
+    return await db.get(HomeInformation, (user, key))
+
+
 async def read_record(request, user, module, offset, cid, refresh=False):
     key = resource_key(module, offset, cid)
+    if module == "messages":
+        return await read_messages(request, user, offset, refresh)
     async with lock(request, (user, key)):
         async with request.app.state.sessions() as db:
             record = await db.get(HomeInformation, (user, key))
@@ -303,12 +373,16 @@ async def output(request, user, module, record):
         config = await db.get(AISettings, 1)
     _, version = await analysis_sources(request, user, module, record)
     analysis = record.analysis
+    if module == "messages" and analysis and analysis["source_version"] != version:
+        request.app.state.home_message_cache[user].analyses.pop(record.content["offset"], None)
+        analysis = None
     if analysis:
         analysis = {**analysis, "outdated": analysis["source_version"] != version or analysis["config_version"] != config_version(config)}
         analysis.pop("config_version", None)
     return dict(content=temporal(record.content, module), fetched_at=record.fetched_at.replace(tzinfo=timezone.utc) if record.fetched_at else None, error=record.error,
                 stale=bool(record.error) or bool(module == "leaderboard" and record.content and record.content["scope"] != "dailyOsmosisRank:" + now().astimezone(EASTERN).date().isoformat()) or bool(record.fetched_at and now() - record.fetched_at.replace(tzinfo=timezone.utc) > timedelta(hours=24)),
                 source_version=record.version, analysis=analysis,
+                ephemeral=module == "messages",
                 can_generate=bool(config.description_model and config.api_key_encrypted and config.base_url and record.content))
 
 
@@ -364,7 +438,7 @@ async def generate(request: Request, module: Module, offset: int = Query(0, ge=0
         raise HTTPException(409, "该模块正在生成解读，请稍候")
     async with generation_lock:
         async with request.app.state.sessions() as db:
-            record = await db.get(HomeInformation, (user, key))
+            record = await cached_record(request, db, user, module, offset, key)
             config = await db.get(AISettings, 1)
             if not config.description_model or not config.api_key_encrypted or not config.base_url:
                 raise HTTPException(409, "请先配置基础信息处理模型及共享连接配置")
@@ -396,13 +470,17 @@ async def generate(request: Request, module: Module, offset: int = Query(0, ge=0
         await ai.authorize(token_hash(request.cookies["wq_session"]))
         if await identity(request) != user:
             raise HTTPException(409, "账户已变化，请重新生成")
-        async with lock(request, (user, key)):
+        async with lock(request, (user, "messages" if module == "messages" else key)):
             async with request.app.state.sessions.begin() as db:
-                record = await db.get(HomeInformation, (user, key))
+                record = await cached_record(request, db, user, module, offset, key)
                 current_config = await db.get(AISettings, 1)
+                if record is None:
+                    raise HTTPException(409, "公告内存缓存已失效，请刷新后重新生成")
                 _, current_version = await analysis_sources(request, user, module, record)
                 if current_version != version or config_version(current_config) != fingerprint:
                     raise HTTPException(409, "生成期间来源或模型配置已变化，已保留上次解读，请重新生成")
                 record.analysis = dict(**interpretation, source_version=version, config_version=fingerprint,
                                        model=connection.model, generated_at=now().isoformat())
+                if module == "messages":
+                    request.app.state.home_message_cache[user].analyses[offset] = record.analysis
         return await output(request, user, module, record)

backend/app/jobs.py

@@ -242,7 +242,7 @@ class Runner:
             async with self.sessions() as db:
                 job = await db.get(Job, job_id)
                 kind, payload = job.kind, job.payload
-            if kind == "self_correlation":
+            if kind in ("self_correlation", "self_correlation_recheck"):
                 # Cached local comparisons also work while the platform is disconnected.
                 await self.check_correlations(job_id, payload["alpha_ids"])
             elif kind == "verify":
@@ -265,6 +265,10 @@ class Runner:
                     await sync_catalog(self, job_id, payload)
                 elif kind in ("full_sync", "daily_sync"):
                     await self.sync_all(job_id)
+                elif kind == "super_selection_preview":
+                    from .superalpha.jobs import run_selection
+
+                    await run_selection(self, job_id, payload)
                 elif kind == "submission_check":
                     from .submission import run_check
 
@@ -302,7 +306,7 @@ class Runner:
             await self.checkpoint(
                 job_id,
                 {
-                    "status": "waiting_connection" if waiting or (kind == "catalog_full_sync" and exc.code == "network_error") else "failed",
+                    "status": "waiting_connection" if waiting or (kind in ("catalog_full_sync", "super_selection_preview") and exc.code == "network_error") else "failed",
                     "error": str(exc),
                     "next_retry_at": None,
                 },

backend/app/main.py

@@ -6,7 +6,7 @@ import io
 import time
 from collections import defaultdict
 from contextlib import AsyncExitStack, asynccontextmanager
-from typing import Annotated
+from typing import Annotated, Literal
 
 from fastapi import APIRouter, Depends, FastAPI, HTTPException, Query, Request, Response
 from fastapi.exceptions import RequestValidationError
@@ -56,6 +56,7 @@ from .schemas import (
 )
 from .security import bootstrap, cipher, issue_session, require_auth, token_hash, valid_password
 from .submission import router as submission_router
+from .superalpha.routes import router as superalpha_router
 
 
 def account_output(account, client, settings):
@@ -138,6 +139,7 @@ def create_app(settings=None, wq_client=None, ai_model_factory=None):
     app.state.settings = settings
     app.state.ai = ai_runtime
     app.state.home_information_locks = {}
+    app.state.home_message_cache = {}
     app.state.research = research_runtime
     app.state.mcp = mcp_runtime
     login_failures = defaultdict(list)
@@ -343,9 +345,9 @@ def create_app(settings=None, wq_client=None, ai_model_factory=None):
             return await Business(db).search_alphas(filters)
 
     @api.get("/alphas/facets", response_model=FacetsOutput, tags=["alphas"])
-    async def facets():
+    async def facets(management_scope: Literal["super", "non_super"] | None = None):
         async with sessions() as db:
-            return await Business(db).get_alpha_facets()
+            return await Business(db).get_alpha_facets(management_scope)
 
     @api.get(
         "/alphas/export",
@@ -486,6 +488,7 @@ def create_app(settings=None, wq_client=None, ai_model_factory=None):
     app.include_router(dashboard_router)
     app.include_router(home_information_router)
     app.include_router(backtest_router)
+    app.include_router(superalpha_router)
     app.include_router(api)
     app.include_router(catalog_router)
     app.include_router(preparations_router)

backend/app/mcp_api/server.py

@@ -18,13 +18,29 @@ from ..models import MCPAudit, now
 from ..research.serialization import encode_snapshot
 from ..research_access import contracts as c
 from ..research_access.service import ResearchAccess, ResearchError
+from ..superalpha import contracts as sc
 
 # Name, schema, business method, required scope, description. No generic arbitrary HTTP tool.
 TOOLS = {
+    "search_superalpha_plans": (sc.PlanSearch, "super_plans", "research:read", "分页查找 Super Alpha 研究方案。"),
+    "get_superalpha_plan": (sc.PlanReference, "super_plan", "research:read", "读取指定方案版本或固定构造记录；不发起回测。"),
+    "save_superalpha_plan": (sc.PlanSave, "save_super_plan", "research:write", "保存调用方构造的 Selection/Combo 参数方案；更新须携带版本，支持幂等。不调用模型或回测。"),
+    "preview_superalpha_selection": (sc.SelectionPreview, "preview_super_selection", "research:refresh", "主动预览展开后的 Selection；异步返回 job_id，用 get_refresh_job 查进度、get_superalpha_selection 查组件。预览不是实际回测组件。"),
+    "get_superalpha_selection": (sc.SelectionReference, "super_selection", "research:read", "分页读取组件预览及完整性、时间、警告；缺失不自动刷新。"),
+    "build_superalpha_candidates": (sc.BuildCandidates, "build_super_candidates", "research:write", "按方案版本或内联方案进行全量展开/固定种子采样；保存固定候选及来源，不执行回测。将 candidates 与 submit_source 交给 submit_backtests；超过100项按分页读取固定记录。"),
+    "search_superalphas": (sc.SuperAlphaSearch, "super_alphas", "research:read", "分页查询本地已导入的 SUPER 成果，固定 SUPER 范围；不自动同步。"),
+    "get_superalpha": (sc.AlphaReference, "super_alpha", "research:read", "读取已导入 SUPER 的 Selection/Combo、指标、组件证据、Description 和研究来源。"),
+    "get_pyramid_distribution": (c.PyramidQuery, "pyramid_distribution", "research:read", "实时读取指定 region（如 USA、GLB）和 delay（0/1）的个人 Pyramid Alpha 分布；必传 current_date（YYYY-MM-DD），自动按自然年四季度取完整起止日（如2026-09-13对应2026-07-01至2026-09-30），传给平台 startDate/endDate，不使用默认周期。按用户约定 alphaCount>=3 为 lit（已点亮），1–2 为 in_progress，0 为 unlit；每项含 category、alpha_count、距3条的 remaining。复用平台认证，未连接时先调用 authenticate_worldquant；缺失数据不当作0。不回测、不提交。"),
     "search_data_preparations": (c.PreparationSearch, "preparations", "research:read", "分页查询数据准备集合，返回固定范围、字段数及版本。研究可使用多个集合，各集合范围独立。"),
     "get_data_preparation": (c.PreparationRead, "preparation", "research:read", "按集合 ID 与版本分页预览字段、类型、描述和数据集归属。提交回测时携带 preparation_refs，由服务端核对版本并固定独立输入快照；空集合不能用于研究。"),
-    "create_research_template": (c.CreateTemplate, "create_template", "research:write", "将调用方大模型研究后自行总结的参数化模板保存到模板工坊，供用户后续批量回测。先用 get_backtest_results 阅读实际指标和检查，选择 1–20 个已完成采集的 source_item_ids，并说明 hypothesis；不要把 completed 当作检查通过。template 使用 {name} 占位符及逐一对应的 variables，字段变量须声明 MATRIX/VECTOR/GROUP，VECTOR 聚合须明确写入表达式。提供唯一名称和 idempotency_key，可附 reference。返回模板 ID、版本和理论组合数；仅核验结构及来源，不验证所有参数组合，不再次调用模型、不执行回测、不覆盖已有模板。"),
-    "get_submission_check": (c.SelfCorrelationReference, "submission_check_context", "research:read", "读取已导入 Alpha 的表达式、Description、snapshot 和缓存检查结果；不发起检查。先核对或生成三段 Description，再调用 check_submission。"),
+    "search_research_templates": (c.TemplateSearch, "templates", "research:read", "分页搜索模板工坊的模板与最新版本，不执行研究。"),
+    "get_research_template": (c.TemplateRead, "template", "research:read", "读取模板内容、字段定义和来源；新增版本前核对最新版本。"),
+    "create_research_template_version": (c.CreateTemplateVersion, "create_template_version", "research:write", "为已有模板新增不可变版本。先读取模板，携带 template_id、expected_version、完整 template、hypothesis 和 idempotency_key。source_item_ids 可选，提供时须为真实、已完成采集的回测项。版本冲突须重新读取；不调用模型、不回测。"),
+    "create_research_template": (c.CreateTemplate, "create_template", "research:write", "保存调用方编写的模板，不要求已有回测结果。提供 template、hypothesis、唯一名称和 idempotency_key；source_item_ids 可选，提供时须为真实、已完成采集的回测项。template 使用 {name} 占位符及对应 variables，字段定义只需类型和描述；空字段 values 由展开时的数据准备绑定，其他空参数须补充 values 或直接写入表达式。仅保存模板，不调用模型、不展开、不执行回测。"),
+    "expand_research_template": (c.TemplateExpansion, "expand_template", "research:write", "按 template_id/version、preparation_refs 和完整 settings 生成固定候选集合，支持全组合或固定 seed 随机采样。仅检查语法和数据准备/回测参数组合一致性，无逐行校验状态，不回测。返回首25项和 experiment_id，更多候选用 get_template_candidates 分页读取；用户授权后按明确 candidate_ids 调用 start_template_backtest。重试复用 idempotency_key。"),
+    "get_template_candidates": (c.TemplateCandidates, "template_candidates", "research:read", "分页读取固定模板候选集合的表达式、参数、候选 ID、模板版本、数据准备及关联回测；每页最多100条，total 不是当前页数量。"),
+    "start_template_backtest": (c.SubmitTemplateBacktest, "start_template_backtest", "backtests:execute", "对用户已授权的模板候选集合执行批量回测。提供 experiment_id、明确的 candidate_ids 和 idempotency_key；服务端使用保存的表达式和参数并保留来源，不接受重写输入。不需要另建预览，不重新校验类型或平台可用性。相同请求重试返回同一运行；新幂等键会创建新的回测，包括重复候选。立即返回运行 ID，结果另行查询。"),
+    "get_submission_check": (c.SelfCorrelationReference, "submission_check_context", "research:read", "读取已导入 Alpha 的表达式、Description、snapshot 和缓存检查结果；check_summary 分离 Alpha 检查和 REGULAR_SUBMISSION 提交限制，原始 checks 保留；限制不代表当前额度。不发起检查。先核对或生成三段 Description，再调用 check_submission。"),
     "check_submission": (c.SubmissionCheck, "check_submission", "research:refresh", "对单个待提交 Alpha 写回已获用户授权的 Description 并调用平台 GET /check，返回 job_id。须先用 get_submission_check 获取 snapshot；保留本地自相关门槛和冲突保护。通过 get_refresh_job 查进度、get_submission_check 读结果。无论检查结果如何，都不会调用 /submit 或正式提交 Alpha。"),
     "get_worldquant_connection": (c.ConnectionReference, "connection", "research:read", "读取 WorldQuant 连接状态及可选认证 job_id 的进度，不发起认证；人工验证在网页完成。"),
     "authenticate_worldquant": (c.Authentication, "authenticate", "research:refresh", "使用服务端已保存凭据连接或重新认证 WorldQuant，返回 job_id；action=connect（默认）或人工验证后 verify。用 get_worldquant_connection 查询，不接收密码，不修改账户配置。"),
@@ -36,9 +52,9 @@ TOOLS = {
     "check_self_correlation": (c.SelfCorrelationCheck, "check_self_correlation", "research:refresh", "对 1–100 个已导入 Alpha 发起本地自相关检查，返回 job_id。与本地同地区已提交 Alpha 比较，排除自身；优先用缓存，缺失 PnL 自动补取。需先同步已提交 Alpha；不调用平台提交检查。用 get_refresh_job 查进度、get_self_correlation 读结果。"),
     "get_self_correlation": (c.SelfCorrelationReference, "self_correlation", "research:read", "读取指定 Alpha 最新的本地自相关缓存，包括最大相关系数、样本覆盖与 stale 状态；无缓存不自动检查，结果不等同于平台提交资格。"),
     "search_backtests": (c.History, "history", "research:read", "分页查历史候选与固定设置；candidates 按完整输入精确匹配，不推断数学等价。"),
-    "submit_backtests": (c.Submit, "submit", "backtests:execute", "执行用户已授权的固定批次，自动留痕并立即返回运行 ID。可携带 preparation_refs 选择集合，版本变化须重新读取；每项必须完整设置；重复默认拒绝，rerun 明确重跑。不需要研究资产。"),
+    "submit_backtests": (c.Submit, "submit", "backtests:execute", "执行用户已授权的 REGULAR/SUPER 固定批次，自动留痕并立即返回运行 ID；SUPER 使用 selection/combo 和专属设置，逐条模拟。可携带 preparation_refs 选择集合，版本变化须重新读取；每项必须完整设置；重复默认拒绝，rerun 明确重跑。不需要研究资产。"),
     "get_backtest": (c.RunReference, "run", "research:read", "读取真实运行进度、提交数量和可选增量事件；受理不等于成功。"),
-    "get_backtest_results": (c.Results, "results", "research:read", "分页读取固定快照指标、全部非通过检查及三层状态；缺失指标不补零。"),
+    "get_backtest_results": (c.Results, "results", "research:read", "分页读取固定快照指标、Alpha 非通过检查及三层状态；REGULAR_SUBMISSION 单列 submission_limits，不计入 Alpha 失败统计。缺失指标不补零。"),
     "get_backtest_artifact": (c.Artifact, "artifact", "research:read", "分页读取候选脱敏快照的顶层键值或独立采集的 PnL；缺缓存不自动刷新。"),
     "control_backtest": (c.Control, "control", "backtests:control", "对已授权运行暂停、继续、停止或恢复采集；不远程取消、不重提未知模拟。需要版本和幂等键。"),
 }
@@ -57,7 +73,7 @@ class MCPResearchServer:
         self.mutation_lock = asyncio.Lock()
         self.server = Server("wq-alpha-research", version="1.0.0", on_list_tools=self.list_tools,
                              on_call_tool=self.call_tool,
-                             instructions="自由探索，直接固定候选回测，无需先建研究资产。工具不安排定时研究；结果按运行 ID 查询。")
+                             instructions="自由探索，直接固定候选回测，无需先建研究资产。使用已有模板时，expand_research_template 生成候选，get_template_candidates 分页核对，获得用户授权后 start_template_backtest 执行；无需额外预览或结果评估步骤。工具不安排定时研究；结果按运行 ID 查询。")
         from urllib.parse import urlsplit
 
         host = urlsplit(settings.public_origin).netloc
@@ -72,8 +88,8 @@ class MCPResearchServer:
         return types.ListToolsResult(tools=[types.Tool(name=name, description=description,
             inputSchema=schema.model_json_schema(), annotations=types.ToolAnnotations(
                 readOnlyHint=scope == "research:read", destructiveHint=method == "control",
-                idempotentHint=method in {"submit", "control", "create_template"} or scope == "research:read",
-                openWorldHint=method in {"refresh", "submit", "metadata", "check_self_correlation", "check_submission", "authenticate"}))
+                idempotentHint=method in {"submit", "control", "create_template", "create_template_version", "save_super_plan", "build_super_candidates", "expand_template", "start_template_backtest"} or scope == "research:read",
+                openWorldHint=method in {"refresh", "submit", "metadata", "check_self_correlation", "check_submission", "authenticate", "pyramid_distribution", "preview_super_selection", "start_template_backtest"}))
             for name, (schema, method, scope, description) in TOOLS.items()
             if scope in principal.scopes and "research:read" in principal.scopes])
 
@@ -101,7 +117,7 @@ class MCPResearchServer:
                     try:
                         async with db.begin_nested():
                             args = schema.model_validate(arguments)
-                            async with asyncio.timeout(30 if method in {"refresh", "metadata"} else None):
+                            async with asyncio.timeout(30 if method in {"refresh", "metadata", "pyramid_distribution"} else None):
                                 data = encode_snapshot(await getattr(access, method)(args))
                             data.setdefault("_meta", {"schema_version": 1, "observed_at": now().isoformat(),
                                 "nulls": "null 表示来源未提供，不等于零", "source": "system"})
@@ -126,7 +142,7 @@ class MCPResearchServer:
                         data = {"error": ResearchError(code, "研究操作失败；可使用原幂等键重试或查询历史", retryable=True).data}
                     db.add(MCPAudit(id=str(uuid4()), token_id=principal.token_id, tool=name,
                         request_id=fingerprint({"request_id": request_id}), input_digest=digest,
-                        business_id=data.get("backtest_run_id", data.get("job_id", data.get("template_id"))),
+                        business_id=data.get("backtest_run_id", data.get("job_id", data.get("experiment_id", data.get("template_id", data.get("id"))))),
                         result_code=code, elapsed_ms=int((time.monotonic()-started)*1000)))
                 if not error:
                     if access.wake == "backtests":

backend/app/models.py

@@ -87,6 +87,7 @@ class Alpha(Base):
     pnl: Mapped[float | None] = mapped_column(Float)
     neutralization: Mapped[str | None] = mapped_column(Text)
     check_type: Mapped[str] = mapped_column(String(20), default="PENDING", server_default="PENDING", index=True)
+    submission_blocked: Mapped[bool] = mapped_column(Boolean, default=False, server_default=false(), index=True)
     date_created: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True)
     date_submitted: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
     synced_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=now)
@@ -300,6 +301,9 @@ class BacktestItem(Base):
     client_item_id: Mapped[str] = mapped_column(String(100))
     ordinal: Mapped[int] = mapped_column(Integer)
     expression: Mapped[str] = mapped_column(Text)
+    alpha_type: Mapped[str] = mapped_column(String(20), default="REGULAR", server_default="REGULAR", index=True)
+    selection: Mapped[str | None] = mapped_column(Text)
+    combo: Mapped[str | None] = mapped_column(Text)
     settings: Mapped[dict] = mapped_column(JSON)
     fingerprint: Mapped[str] = mapped_column(String(64), index=True)
     platform_status: Mapped[str] = mapped_column(String(30), default="pending")
@@ -321,6 +325,25 @@ class BacktestResult(Base):
     complete: Mapped[bool] = mapped_column(Boolean, default=True)
 
 
+class SuperSelectionSnapshot(Base):
+    """Immutable platform component evidence; previews never replace actual components."""
+
+    __tablename__ = "super_selection_snapshots"
+    id: Mapped[str] = mapped_column(String(36), primary_key=True)
+    job_id: Mapped[str | None] = mapped_column(ForeignKey("sync_jobs.id"), unique=True)
+    item_id: Mapped[str | None] = mapped_column(ForeignKey("backtest_items.id"), unique=True)
+    source: Mapped[str] = mapped_column(String(20))
+    request: Mapped[dict] = mapped_column(JSON)
+    request_hash: Mapped[str] = mapped_column(String(64), index=True)
+    component_hash: Mapped[str | None] = mapped_column(String(64), index=True)
+    components: Mapped[list] = mapped_column(JSON, default=list)
+    raw: Mapped[dict] = mapped_column(JSON, default=dict)
+    complete: Mapped[bool] = mapped_column(Boolean, default=False)
+    total: Mapped[int | None] = mapped_column(Integer)
+    warnings: Mapped[list] = mapped_column(JSON, default=list)
+    observed_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=now)
+
+
 class BacktestEvent(Base):
     __tablename__ = "backtest_events"
     run_id: Mapped[str] = mapped_column(ForeignKey("backtest_runs.id"), primary_key=True)

backend/app/platform_checks.py

@@ -0,0 +1,29 @@
+"""Classify platform evidence without discarding unknown checks or inferring eligibility."""
+
+
+def check_result(check):
+    """Normalize known upstream result casing without rewriting the raw evidence."""
+    value = check.get("result") if isinstance(check, dict) else None
+    return value.upper() if isinstance(value, str) else None
+
+
+def is_submission_limit(check):
+    """Recognize only the confirmed account-limit check; unknown names remain Alpha checks."""
+    return isinstance(check, dict) and check.get("name") == "REGULAR_SUBMISSION"
+
+
+def split_checks(checks):
+    """Return Alpha checks and submission limits, retaining malformed Alpha evidence."""
+    items = checks if isinstance(checks, list) else []
+    return ([c for c in items if not is_submission_limit(c)],
+            [c for c in items if is_submission_limit(c)])
+
+
+def submission_limits(checks):
+    """Summarize the observed limit, never the account's current allowance or reset time."""
+    _, limits = split_checks(checks)
+    status = "blocked" if any(check_result(c) == "FAIL" for c in limits) else (
+        "not_blocked" if limits and all(check_result(c) == "PASS" for c in limits) else "unknown"
+    )
+    return {"status": status, "checks": limits,
+            "meaning": "仅反映缓存观测时的提交限制，不代表当前额度或正式提交资格"}

backend/app/preparations/routes.py

@@ -1,6 +1,6 @@
 """Authenticated preparation and field-directory endpoints."""
 
-from typing import Annotated
+from typing import Annotated, Literal
 
 from fastapi import APIRouter, Depends, HTTPException, Query, Request
 from sqlalchemy import delete, select
@@ -55,9 +55,11 @@ async def preparations(
     scope_key: str | None = None,
     limit: int = Query(25, ge=1, le=100),
     offset: int = Query(0, ge=0),
+    sort: Literal["name", "created_at", "updated_at"] = "updated_at",
+    direction: Literal["asc", "desc"] = "desc",
 ):
     async with request.app.state.sessions() as db:
-        return await Preparations(db).list(q, scope_key, limit, offset)
+        return await Preparations(db).list(q, scope_key, limit, offset, sort, direction)
 
 
 @router.post("/data-preparations", status_code=201)

backend/app/preparations/service.py

@@ -138,9 +138,12 @@ class Preparations:
     async def online_fields(self, filters):
         text_filters = (filters.q, filters.dataset_id, filters.field_type)
         numeric_filters = (
-            filters.coverage_min, filters.coverage_max,
-            filters.user_count_min, filters.user_count_max,
-            filters.alpha_count_min, filters.alpha_count_max,
+            filters.coverage_min,
+            filters.coverage_max,
+            filters.user_count_min,
+            filters.user_count_max,
+            filters.alpha_count_min,
+            filters.alpha_count_max,
         )
         if not any(value and value.strip() for value in text_filters) and not any(
             value is not None for value in numeric_filters
@@ -304,7 +307,7 @@ class Preparations:
             )
         )
 
-    async def list(self, q="", scope_key=None, limit=25, offset=0):
+    async def list(self, q="", scope_key=None, limit=25, offset=0, sort="updated_at", direction="desc"):
         query = select(DataPreparation)
         if scope_key:
             query = query.where(DataPreparation.scope_key == scope_key)
@@ -316,9 +319,13 @@ class Preparations:
                 )
             )
         total = await self.db.scalar(select(func.count()).select_from(query.subquery()))
-        rows = await self.db.scalars(
-            query.order_by(DataPreparation.updated_at.desc(), DataPreparation.id).limit(limit).offset(offset)
-        )
+        column = {
+            "name": DataPreparation.name,
+            "created_at": DataPreparation.created_at,
+            "updated_at": DataPreparation.updated_at,
+        }[sort]
+        order = column.asc() if direction == "asc" else column.desc()
+        rows = await self.db.scalars(query.order_by(order, DataPreparation.id).limit(limit).offset(offset))
         return page([await self.output(row) for row in rows], total, limit, offset)
 
     async def members(self, preparation_id, q="", dataset_id=None, limit=25, offset=0):

backend/app/probe_pyramids.py

@@ -0,0 +1,80 @@
+"""Read-only Pyramid endpoint probe: python -m app.probe_pyramids.
+
+Uses the project's configured account and WqClient without changing stored data.
+A standalone process authenticates separately; it cannot inherit a running
+server's in-memory cookies. Authentication responses and secrets are never printed.
+"""
+
+import asyncio
+import json
+
+from .config import Settings
+from .db import create_database
+from .models import Account
+from .security import cipher
+from .worldquant import WqClient, WqError
+
+PATHS = (
+    "/users/self/activities/pyramid-alphas",
+    "/users/self/pyramid/alphas",
+    "/activities/pyramid-alphas",
+    "/pyramid/alphas",
+)
+
+
+async def probe(client):
+    """Probe fixed same-origin GET paths using an authenticated WqClient.
+
+    Returns status and successful JSON for each path; stops on session expiry.
+    Transport failures propagate to the caller without exposing request details.
+    """
+    if not client.authenticated:
+        raise WqError("请先连接 WorldQuant", "disconnected")
+    results = []
+    for path in PATHS:
+        response = await client.client.get(path)
+        result = {"path": path, "status": response.status_code}
+        if response.status_code == 200:
+            try:
+                result["data"] = response.json()
+            except ValueError:
+                result["error"] = "invalid_json"
+        results.append(result)
+        if response.status_code in (401, 429):
+            break
+    return results
+
+
+async def main():
+    settings = Settings()
+    client = WqClient(settings)
+    engine = None
+    try:
+        if settings.wq_email:
+            email, password = settings.wq_email, settings.wq_password.get_secret_value()
+        else:
+            engine, sessions = create_database(settings.database_url)
+            async with sessions() as db:
+                account = await db.get(Account, 1)
+                if not account or not account.email or not account.password_encrypted:
+                    raise WqError("未配置平台凭据", "disconnected")
+                email = account.email
+                password = cipher(settings).decrypt(account.password_encrypted.encode()).decode()
+        await client.authenticate(email, password)
+        print(json.dumps(await probe(client), ensure_ascii=False, indent=2))
+    except WqError as exc:
+        print(json.dumps({"error": exc.code}, ensure_ascii=False))
+        return 1
+    except Exception as exc:
+        # Connection/config errors can contain credentials; print only the type.
+        print(json.dumps({"error": type(exc).__name__}))
+        return 1
+    finally:
+        await client.close()
+        if engine is not None:
+            await engine.dispose()
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(asyncio.run(main()))

backend/app/research/assets.py

@@ -51,7 +51,10 @@ class Assets:
         }
 
     async def save(self, body, asset_id=None, provenance=None):
+        from ..superalpha.contracts import PlanSpec
+
         schema = {
+            "superalpha_plan": PlanSpec,
             "template": TemplateSpec,
             "feature": FeatureSpec,
             "view": ViewSpec,

backend/app/research/evaluations.py

@@ -7,6 +7,7 @@ from sqlalchemy import select
 
 from ..backtests.service import Backtests, uid
 from ..models import Alpha, ResearchEvaluation, ResearchExperiment, SelfCorrelation
+from ..platform_checks import split_checks, submission_limits
 from .experiments import Experiments
 from .serialization import encode_snapshot as jsonable_encoder
 
@@ -30,13 +31,14 @@ def assess(snapshot, rules):
         evidence.append(
             {"metric": key, "value": value, "bound": bound, "direction": direction, "status": status}
         )
-    checks = metrics.get("checks") or []
+    raw_checks = metrics.get("checks") or []
+    checks, _ = split_checks(raw_checks)
     if not checks:
         missing.append("platform_checks")
     for check in checks:
-        if check.get("result") == "FAIL":
+        if isinstance(check, dict) and check.get("result") == "FAIL":
             failed.append(f"platform:{check.get('name', 'unknown')}")
-    unknown_checks = [check for check in checks if check.get("result") not in ("PASS", "FAIL")]
+    unknown_checks = [check for check in checks if not isinstance(check, dict) or check.get("result") not in ("PASS", "FAIL")]
     if unknown_checks:
         missing.append("unresolved_platform_checks")
     return {
@@ -44,7 +46,8 @@ def assess(snapshot, rules):
         "evidence": evidence,
         "failed": failed,
         "missing": missing,
-        "existing_platform_checks": checks,
+        "existing_platform_checks": raw_checks,
+        "submission_limits": submission_limits(raw_checks),
         "meaning": "本地研究筛选结果，不是官方提交资格",
     }
 

backend/app/research/experiments.py

@@ -7,14 +7,22 @@ from collections import defaultdict
 from fastapi import HTTPException
 from sqlalchemy import func, select, update
 
-from ..backtests.contracts import Candidate, DraftInput, PreviewInput, SimulationSettings, Source
+from ..backtests.contracts import (
+    Candidate,
+    DraftInput,
+    PreviewInput,
+    SimulationSettings,
+    Source,
+    StartInput,
+    fingerprint,
+)
 from ..backtests.service import Backtests, uid
 from ..catalog.research_metadata import ResearchMetadata
 from ..catalog.service import Catalog
-from ..models import Alpha, BacktestRun, CatalogResource, ResearchExperiment
+from ..models import Account, Alpha, BacktestPreview, BacktestRun, CatalogResource, ResearchExperiment
 from ..preparations.service import Preparations
 from .assets import Assets
-from .expressions import GROUPS, analyze, expand
+from .expressions import GROUPS, ExpressionError, Parser, analyze, expand
 from .serialization import encode_snapshot as jsonable_encoder
 from .workspace_contracts import TemplateSpec
 
@@ -45,7 +53,7 @@ class Experiments:
         self.catalog = Catalog(db)
         self.assets = Assets(db)
 
-    async def inputs(self, ids, scope=None):
+    async def inputs(self, ids, scope=None, *, check_types=True):
         if len(set(ids)) != len(ids):
             raise HTTPException(422, "输入快照重复")
         snapshots = [await self.catalog.input(input_id) for input_id in ids]
@@ -56,7 +64,7 @@ class Experiments:
             for name, kind in item["field_types"].items():
                 if name not in item["field_ids"]:
                     continue
-                if name in fields and fields[name] != kind:
+                if check_types and name in fields and fields[name] != kind:
                     raise HTTPException(422, f"字段 {name} 在不同快照中类型不一致")
                 fields[name] = kind
         return snapshots, fields
@@ -138,9 +146,9 @@ class Experiments:
         asset = await self.assets.get(body.asset_id, body.version, "template") if body.asset_id else None
         template = TemplateSpec.model_validate(asset["content"]) if asset else body.template
         scope = scope_of(body.settings)
-        if template.scope and template.scope.model_dump() != scope:
-            raise HTTPException(422, "模板适用范围与候选设置不同")
-        snapshots, fields = await self.inputs(body.input_ids, scope)
+        snapshots, fields = await self.inputs(body.input_ids, scope, check_types=kind != "template")
+        if kind == "template" and not snapshots:
+            raise HTTPException(422, "请先选择数据准备")
         parents = (
             parent_snapshots
             if parent_snapshots is not None
@@ -148,31 +156,53 @@ class Experiments:
         )
         variables = {}
         for name, variable in template.variables.items():
+            values = variable.values
+            # Empty field definitions bind only to the selected immutable input scope.
+            # Existing explicit domains remain restrictions and are never silently widened.
             if variable.kind == "field":
-                for value in variable.values:
-                    if fields.get(str(value)) != variable.field_type:
+                if not values:
+                    values = sorted(field for field, kind in fields.items() if kind == variable.field_type)
+                if not values:
+                    raise HTTPException(422, f"变量 {name} 没有匹配的 {variable.field_type} 字段，请调整数据准备")
+                for value in values:
+                    if kind != "template" and fields.get(str(value)) != variable.field_type:
                         raise HTTPException(422, f"变量 {name} 的字段 {value} 不在固定输入中或类型不符")
-            if variable.kind == "group" and any(
+            if kind != "template" and variable.kind == "group" and any(
                 str(v) not in GROUPS and fields.get(str(v)) != "GROUP" for v in variable.values
             ):
                 raise HTTPException(422, f"分组变量 {name} 未在固定输入中核实")
+            if not values:
+                raise HTTPException(422, f"变量 {name} 缺少候选取值，请通过模板接口补充，或将固定参数直接写入表达式")
             variables[name] = [
-                json.dumps(v, ensure_ascii=False) if variable.kind == "string" else v for v in variable.values
+                json.dumps(v, ensure_ascii=False) if variable.kind == "string" else v for v in values
             ]
         try:
             expanded = expand(template.expression, variables, body.mode, body.limit, body.seed)
         except ValueError as exc:
             raise HTTPException(422, str(exc)) from None
-        operators_snapshot = await ResearchMetadata(self.db).get("operators")
-        operators = {item["name"] for item in operators_snapshot["content"].get("items", [])}
-        setting_errors, settings_snapshot = await self.settings_check(body.settings)
-        availability = await self.field_evidence(scope, fields)
+        validation_evidence = {}
+        if kind != "template":
+            operators_snapshot = await ResearchMetadata(self.db).get("operators")
+            operators = {item["name"] for item in operators_snapshot["content"].get("items", [])}
+            setting_errors, settings_snapshot = await self.settings_check(body.settings)
+            availability = await self.field_evidence(scope, fields)
+            validation_evidence = {
+                "field_availability": availability,
+                "availability_basis": "各输入的已发布范围目录；若另有字段级证据，须同时满足",
+                "operators_snapshot": operators_snapshot,
+                "settings_snapshot": settings_snapshot,
+            }
         candidates = []
         for index, item in enumerate(expanded["items"]):
-            validation = self.validate(item["expression"], fields, operators, scope, availability)
-            validation["availability"].extend(setting_errors)
-            if setting_errors and validation["status"] == "valid":
-                validation["status"] = "needs_review"
+            findings = {}
+            if kind == "template":
+                self.check_syntax(item["expression"], f"候选 {index + 1}")
+            else:
+                validation = self.validate(item["expression"], fields, operators, scope, availability)
+                validation["availability"].extend(setting_errors)
+                if setting_errors and validation["status"] == "valid":
+                    validation["status"] = "needs_review"
+                findings["validation"] = validation
             candidates.append(
                 {
                     **Candidate(
@@ -180,7 +210,7 @@ class Experiments:
                     ).model_dump(mode="json"),
                     "bindings": item["bindings"],
                     "input_ids": list(body.input_ids),
-                    "validation": validation,
+                    **findings,
                     "changes": [
                         self.diff(parent.get("expression", ""), item["expression"])
                         for parent in parents
@@ -190,16 +220,21 @@ class Experiments:
             )
         evidence = {
             "template": asset or {"content": template.model_dump(mode="json")},
-            "field_availability": availability,
-            "availability_basis": "各输入的已发布范围目录；若另有字段级证据，须同时满足",
             "combination_count": expanded["combination_count"],
             "seed": expanded["seed"],
-            "operators_snapshot": operators_snapshot,
-            "settings_snapshot": settings_snapshot,
+            **validation_evidence,
             **(extra_evidence or {}),
         }
         return await self.save(template.name, kind, body.hypothesis, snapshots, parents, candidates, evidence)
 
+    @staticmethod
+    def check_syntax(expression, label="表达式"):
+        """Reject unsupported syntax before persistence; platform semantics are not inferred."""
+        try:
+            Parser(expression).parse()
+        except (ExpressionError, RecursionError) as exc:
+            raise HTTPException(422, f"{label}语法错误：{exc}") from None
+
     @staticmethod
     def diff(before, after):
         return [
@@ -284,6 +319,26 @@ class Experiments:
             }
         )
 
+    async def template_candidates(self, experiment_id, limit=25, offset=0):
+        """Read a bounded page of stored template candidates and their immutable references."""
+        experiment = await self.get(experiment_id)
+        if experiment["kind"] != "template":
+            raise HTTPException(422, "此入口仅用于模板候选集合")
+        candidates = experiment["candidates"]
+        template = experiment["evidence"].get("template", {})
+        return {
+            "id": experiment_id, "experiment_id": experiment_id,
+            "name": experiment["name"], "archived": experiment["archived"],
+            "template": {k: template.get(k) for k in ("id", "version", "name")},
+            "inputs": [{k: item.get(k) for k in ("id", "preparation_id", "preparation_version", "scope")}
+                       for item in experiment["inputs"]],
+            "items": [{k: c[k] for k in ("client_item_id", "expression", "settings", "alpha_type", "bindings") if k in c}
+                      for c in candidates[offset:offset + limit]],
+            "total": len(candidates), "limit": limit, "offset": offset,
+            "has_more": offset + limit < len(candidates),
+            "backtest_run_ids": experiment["backtest_run_ids"],
+        }
+
     async def archive(self, experiment_id):
         """Hide an immutable experiment; backtests and lineage must still resolve it.
 
@@ -297,7 +352,8 @@ class Experiments:
             raise HTTPException(404, "研究实验不存在")
         return {"ok": True}
 
-    async def preview(self, experiment_id, candidate_ids=None, source_kind=None, reference=None):
+    async def backtest_input(self, experiment_id, candidate_ids=None, source_kind=None, reference=None):
+        """Build the complete fixed selection and enforce its domain checks."""
         experiment = await self.get(experiment_id)
         candidates = experiment["candidates"]
         if candidate_ids is not None:
@@ -307,37 +363,90 @@ class Experiments:
             candidates = [item for item in candidates if item["client_item_id"] in chosen]
             if len(candidates) != len(chosen):
                 raise HTTPException(422, "选择包含未知候选")
-        else:
+        elif experiment["kind"] != "template":
             candidates = [item for item in candidates if item["validation"]["status"] == "valid"]
-        if not candidates or any(item["validation"]["status"] != "valid" for item in candidates):
+        if not candidates:
+            raise HTTPException(422, "请至少选择一条候选")
+        if experiment["kind"] != "template" and any(item["validation"]["status"] != "valid" for item in candidates):
             raise HTTPException(422, "候选存在语法、类型或可用性问题，请先解决；至少保留一条已核实候选")
         inputs = experiment["inputs"]
-        return await Backtests(self.db).preview(
-            PreviewInput(
-                inline=DraftInput(
-                    name=experiment["name"],
-                    source=Source(
-                        kind=source_kind or experiment["kind"],
-                        reference=reference or experiment_id,
-                        research_id=experiment_id,
-                        input_snapshot_ids=[i["id"] for i in inputs],
-                        input_snapshot_id=inputs[0]["id"] if len(inputs) == 1 else None,
-                        hypothesis=experiment["hypothesis"][:2000],
-                    ),
-                    candidates=[
-                        Candidate.model_validate(
-                            {
-                                key: item[key]
-                                for key in ("client_item_id", "expression", "settings", "alpha_type")
-                            }
-                        )
-                        for item in candidates
-                    ],
-                )
+        if experiment["kind"] == "template":
+            # Historical collections follow the same syntax/scope contract; old row findings are irrelevant.
+            for candidate in candidates:
+                self.check_syntax(candidate["expression"], candidate["client_item_id"])
+                scope = scope_of(SimulationSettings.model_validate(candidate["settings"]))
+                if not inputs or any(item["scope"] != scope for item in inputs):
+                    raise HTTPException(422, "数据准备与回测参数组合不一致，请重新生成候选集合")
+        return DraftInput(
+            name=experiment["name"],
+            source=Source(
+                kind=source_kind or experiment["kind"],
+                reference=reference or experiment_id,
+                research_id=experiment_id,
+                input_snapshot_ids=[i["id"] for i in inputs],
+                input_snapshot_id=inputs[0]["id"] if len(inputs) == 1 else None,
+                hypothesis=experiment["hypothesis"][:2000],
             ),
-            preserve_source=True,
+            candidates=[
+                Candidate.model_validate(
+                    {
+                        key: item[key]
+                        for key in ("client_item_id", "expression", "settings", "alpha_type")
+                    }
+                )
+                for item in candidates
+            ],
         )
 
+    async def preview(self, experiment_id, candidate_ids=None, source_kind=None, reference=None, *, backtests=None):
+        draft = await self.backtest_input(experiment_id, candidate_ids, source_kind, reference)
+        return await (backtests or Backtests(self.db)).preview(PreviewInput(inline=draft), preserve_source=True)
+
+    async def start_template_backtest(self, experiment_id, body, *, backtests=None, confirmed_preview=None):
+        """Start the explicitly selected immutable collection in the caller's transaction.
+
+        Account locking covers preview creation as well as run creation, so concurrent
+        retries share one run. Reusing a key for another collection/selection raises 409.
+        The caller must wake the runner only after committing this transaction.
+        """
+        chosen = set(body.candidate_ids)
+        if len(chosen) != len(body.candidate_ids):
+            raise HTTPException(422, "候选选择包含重复项")
+        await self.db.scalar(select(Account).where(Account.id == 1).with_for_update())
+        previous = await self.db.scalar(select(BacktestRun).where(BacktestRun.idempotency_key == body.idempotency_key))
+        if previous:
+            saved = await self.db.get(BacktestPreview, previous.preview_id)
+            if previous.source.get("research_id") != experiment_id or chosen != {
+                c["client_item_id"] for c in saved.candidates
+            }:
+                raise HTTPException(409, "幂等键已用于另一候选集合或选择")
+            return await Backtests(self.db).run(previous.id)
+        experiment = await self.get(experiment_id)
+        if experiment["kind"] != "template":
+            raise HTTPException(422, "此入口仅用于模板候选集合")
+        if experiment["archived"]:
+            raise HTTPException(409, "候选集合已删除")
+        service = backtests or Backtests(self.db)
+        if confirmed_preview is None:
+            preview = await self.preview(experiment_id, body.candidate_ids, backtests=service)
+        else:
+            # Approval authorizes all persisted candidates, not the first display page.
+            draft = (await self.backtest_input(experiment_id, body.candidate_ids)).model_dump(mode="json")
+            expected = fingerprint({"candidates": draft["candidates"], "source": draft["source"]})
+            saved = await self.db.get(BacktestPreview, confirmed_preview["preview_id"])
+            if (
+                saved is None
+                or saved.version != confirmed_preview["version"]
+                or saved.digest != confirmed_preview["digest"]
+                or saved.digest != expected
+                or fingerprint({"candidates": saved.candidates, "source": saved.source}) != expected
+            ):
+                raise HTTPException(409, "回测候选与确认内容不匹配，请重新确认")
+            preview = confirmed_preview
+        return await service.start(StartInput(
+            preview_id=preview["preview_id"], version=preview["version"], idempotency_key=body.idempotency_key,
+        ))
+
     async def setting_variants(self, body, *, parent_snapshot=None, extra_evidence=None, kind="variant"):
         parents = (
             [parent_snapshot] if parent_snapshot is not None else await self.parents([body.alpha_id], [])

backend/app/research/routes.py

@@ -2,6 +2,7 @@
 
 from fastapi import APIRouter, Depends, HTTPException, Query, Request
 
+from ..backtests.contracts import RunOutput
 from ..security import require_auth
 from .assets import Assets
 from .comparisons import compare
@@ -22,6 +23,7 @@ from .workspace_contracts import (
     ImportCommit,
     ImportPreview,
     SettingVariants,
+    TemplateBacktest,
     WorkflowSpec,
 )
 
@@ -149,6 +151,14 @@ async def preview(experiment_id: str, body: ExperimentPreview, request: Request)
         return await Experiments(db).preview(experiment_id, body.candidate_ids)
 
 
+@router.post("/experiments/{experiment_id}/backtest", status_code=202, response_model=RunOutput)
+async def template_backtest(experiment_id: str, body: TemplateBacktest, request: Request):
+    async with request.app.state.sessions.begin() as db:
+        result = await Experiments(db).start_template_backtest(experiment_id, body)
+    request.app.state.runner.backtests.wake.set()
+    return result
+
+
 @router.post("/variants/settings", status_code=201)
 async def settings_variants(body: SettingVariants, request: Request):
     async with request.app.state.sessions.begin() as db:

backend/app/research/runtime.py

@@ -522,7 +522,8 @@ class ResearchRuntime:
             "type": "candidates",
             "experiment_id": experiment["id"],
             "candidate_ids": [
-                c["client_item_id"] for c in experiment["candidates"] if c["validation"]["status"] == "valid"
+                c["client_item_id"] for c in experiment["candidates"]
+                if experiment["kind"] == "template" or c["validation"]["status"] == "valid"
             ],
         }
         ids = step.output["candidate_ids"]

backend/app/research/workspace_contracts.py

@@ -11,12 +11,13 @@ from ..preparations.contracts import PreparationReference
 from ..schemas import Contract
 from .expressions import IDENTIFIER, PLACEHOLDER, normalize_template
 
-AssetKind = Literal["template", "feature", "view", "workflow"]
+AssetKind = Literal["template", "feature", "view", "workflow", "superalpha_plan"]
 
 
 class Variable(Contract):
     kind: Literal["field", "operator", "integer", "number", "group", "string", "fragment"]
-    values: list[str | int | float] = Field(min_length=1, max_length=10000)
+    values: list[str | int | float] = Field(default_factory=list, max_length=10000)
+    description: str = Field(default="", max_length=3000)
     field_type: Literal["MATRIX", "VECTOR", "GROUP"] | None = None
 
     @model_validator(mode="after")
@@ -44,7 +45,6 @@ class TemplateSpec(Contract):
     description: str = Field(default="", max_length=10000)
     expression: str = Field(min_length=1, max_length=20000)
     variables: dict[str, Variable] = Field(default_factory=dict, max_length=100)
-    scope: Scope | None = None
     category: Literal["template", "fragment"] = "template"
 
     @field_validator("expression")
@@ -144,6 +144,11 @@ class ExperimentPreview(Contract):
     candidate_ids: list[str] | None = Field(default=None, min_length=1, max_length=10000)
 
 
+class TemplateBacktest(Contract):
+    candidate_ids: list[str] = Field(min_length=1, max_length=10000)
+    idempotency_key: str = Field(min_length=1, max_length=100)
+
+
 class EvaluationRules(Contract):
     version: Literal["research-v1"] = "research-v1"
     sharpe_min: float = Field(default=1.0, allow_inf_nan=False)

backend/app/research/workspace_tools.py

@@ -1,15 +1,25 @@
 """Research capabilities use the same versioned assets and experiment services as HTTP."""
 
+from fastapi import HTTPException
 from pydantic import Field
 
 from ..ai.capabilities import Capability
+from ..backtests.ai_tools import wake_backtests
 from ..catalog.research_metadata import ResearchMetadata
 from ..schemas import Contract
 from .assets import Assets
 from .evaluations import Evaluations
 from .experiments import Experiments
 from .features import Features
-from .workspace_contracts import AssetWrite, EvaluateInput, Expansion, FeatureSpec, SettingVariants
+from .workspace_contracts import (
+    AssetWrite,
+    EvaluateInput,
+    Expansion,
+    FeatureSpec,
+    SettingVariants,
+    TemplateBacktest,
+    TemplateSpec,
+)
 
 
 class AssetQuery(Contract):
@@ -33,6 +43,10 @@ class FeatureWrite(Contract):
     version: int | None = Field(default=None, ge=1)
 
 
+class TemplateVersionWrite(FixedAssetReference):
+    content: TemplateSpec
+
+
 class ExperimentReference(Contract):
     experiment_id: str = Field(min_length=1, max_length=36)
 
@@ -41,6 +55,31 @@ class CandidatePreview(ExperimentReference):
     candidate_ids: list[str] | None = Field(default=None, min_length=1, max_length=10000)
 
 
+class TemplateBacktestRequest(TemplateBacktest, ExperimentReference):
+    pass
+
+
+class TemplateCandidateQuery(ExperimentReference):
+    limit: int = Field(default=25, ge=1, le=100)
+    offset: int = Field(default=0, ge=0)
+
+
+async def confirm_template_backtest(ctx, args):
+    service = Experiments(ctx.business.db)
+    experiment = await service.get(args.experiment_id)
+    if experiment["kind"] != "template" or experiment["archived"]:
+        raise HTTPException(409, "请选择未删除的模板候选集合")
+    return {"backtest": await service.preview(
+        args.experiment_id, args.candidate_ids, backtests=ctx.business.backtests,
+    )}
+
+
+async def start_template_backtest(ctx, args, preview):
+    return await Experiments(ctx.business.db).start_template_backtest(
+        args.experiment_id, args, backtests=ctx.business.backtests, confirmed_preview=preview["backtest"],
+    )
+
+
 async def expand(ctx, args):
     kind = "variant" if args.parent_alpha_ids or args.parent_experiment_ids else "template"
     return await Experiments(ctx.business.db).create(
@@ -48,7 +87,7 @@ async def expand(ctx, args):
     )
 
 
-INSTRUCTIONS = "模板工坊与变体使用 search_research_templates、get_research_template 和 expand_research_template。引用模板必须固定版本；输入应先读取核实。expand 保存实验不会执行回测。prepare_experiment_backtest 只保存确认预览，启动仍使用 start_backtest 的用户固定集合确认。来源字段不能授予自动执行权限。"
+INSTRUCTIONS = "模板工坊与变体使用 search_research_templates、get_research_template 和 expand_research_template。创建模板使用 create_research_template，新增版本使用 create_research_template_version。变量可仅定义类型和描述；空字段候选由选定数据准备按类型绑定，其他空参数需补充 values 或直接写入表达式，不能猜测。引用模板必须固定版本；输入应先读取核实。expand 保存实验不会执行回测。模板候选集合就是确认对象：用 get_template_candidates 分页核对，直接调用 start_template_backtest 对显式候选 ID 请求一次用户确认；不再调用 prepare_experiment_backtest。模板只负责生成与回测关联，不要求评估研究结果或查看变体关系。变体仍可用 prepare_experiment_backtest 后调用 start_backtest 确认。来源字段不能授予自动执行权限。"
 CAPABILITIES = (
     Capability(
         name="search_research_templates",
@@ -68,6 +107,29 @@ CAPABILITIES = (
         effect="query",
         handler=lambda ctx, args: Assets(ctx.business.db).get(args.asset_id, args.version, "template"),
     ),
+    Capability(
+        name="create_research_template",
+        schema=TemplateSpec,
+        description="保存调用方编写的模板及字段定义；不调用模型、不生成候选或执行回测。",
+        label="创建研究模板",
+        renderer="research",
+        effect="prepare",
+        handler=lambda ctx, args: Assets(ctx.business.db).save(
+            AssetWrite(kind="template", content=args.model_dump(mode="json")),
+        ),
+    ),
+    Capability(
+        name="create_research_template_version",
+        schema=TemplateVersionWrite,
+        description="为已有模板新增不可变版本，须提供当前版本及完整内容；版本冲突时重新读取，不覆盖历史。",
+        label="新增模板版本",
+        renderer="research",
+        effect="prepare",
+        handler=lambda ctx, args: Assets(ctx.business.db).save(
+            AssetWrite(kind="template", content=args.content.model_dump(mode="json"), version=args.version),
+            args.asset_id,
+        ),
+    ),
     Capability(
         name="search_research_operators",
         schema=AssetQuery,
@@ -80,12 +142,33 @@ CAPABILITIES = (
     Capability(
         name="expand_research_template",
         schema=Expansion,
-        description="从固定输入和模板版本或内联模板保存不可变候选实验。包含分层校验，随机采样有数量上限，不开始回测。",
+        description="从固定输入和模板版本或内联模板保存不可变候选实验。模板仅检查语法和数据准备与回测参数组合一致性；变体保留原校验。随机采样有数量上限，不开始回测。",
         label="展开模板候选",
         renderer="research",
         effect="prepare",
         handler=expand,
     ),
+    Capability(
+        name="get_template_candidates",
+        schema=TemplateCandidateQuery,
+        description="分页读取模板候选集合的表达式、参数、候选 ID 和回测关联，不返回逐行校验状态。",
+        label="读取模板候选",
+        renderer="research",
+        effect="query",
+        handler=lambda ctx, args: Experiments(ctx.business.db).template_candidates(**args.model_dump()),
+    ),
+    Capability(
+        name="start_template_backtest",
+        schema=TemplateBacktestRequest,
+        description="直接对已保存模板集合中的显式候选 ID 请求一次用户确认，确认后批量回测；无需准备额外预览。重试复用幂等键。",
+        label="回测模板候选",
+        renderer="backtest",
+        effect="confirm",
+        preview=confirm_template_backtest,
+        execute=start_template_backtest,
+        after_commit=wake_backtests,
+        refresh=("backtests",),
+    ),
     Capability(
         name="prepare_setting_variants",
         schema=SettingVariants,
@@ -107,7 +190,7 @@ CAPABILITIES = (
     Capability(
         name="prepare_experiment_backtest",
         schema=CandidatePreview,
-        description="从实验内已校验的固定候选保存回测确认预览，不启动模拟。",
+        description="为变体等研究实验保存回测预览，不启动模拟；模板直接使用 start_template_backtest。",
         label="准备研究回测",
         renderer="backtest",
         effect="prepare",

backend/app/research_access/contracts.py

@@ -5,7 +5,7 @@ from typing import Annotated, Literal
 
 from pydantic import Field, model_validator
 
-from ..backtests.contracts import Candidate, SimulationSettings
+from ..backtests.contracts import Candidate, SimulationSettings, SuperSimulationSettings
 from ..catalog.contracts import CatalogFilters, Scope
 from ..preparations.contracts import PreparationReference
 from ..research.workspace_contracts import TemplateSpec
@@ -20,6 +20,12 @@ class Empty(Contract):
     pass
 
 
+class PyramidQuery(Contract):
+    current_date: date = Field(description="用于确定季度的日期，格式 YYYY-MM-DD；自动查询该季度完整起止范围")
+    region: str = Field(min_length=3, max_length=10, pattern=r"^[A-Z]+$")
+    delay: int = Field(ge=0, le=1, strict=True)
+
+
 class Authentication(Contract):
     action: Literal["connect", "verify"] = "connect"
 
@@ -44,11 +50,26 @@ class CompleteSettings(SimulationSettings):
     model_config = {"json_schema_extra": {"required": list(SimulationSettings.model_fields)}}
 
 
+class CompleteSuperSettings(SuperSimulationSettings):
+    @model_validator(mode="before")
+    @classmethod
+    def complete(cls, value):
+        if isinstance(value, dict) and set(cls.model_fields) - value.keys():
+            raise ValueError("必须提供每项完整 SUPER 设置；先读取 get_research_capabilities")
+        return value
+
+    model_config = {"json_schema_extra": {"required": list(SuperSimulationSettings.model_fields)}}
+
+
 class DirectCandidate(Candidate):
-    settings: CompleteSettings
+    settings: CompleteSuperSettings | CompleteSettings
 
 
 class Provenance(Contract):
+    research_id: RunId | None = None
+    superalpha_plan_id: RunId | None = None
+    superalpha_plan_version: int | None = Field(default=None, ge=1)
+    selection_snapshot_ids: list[RunId] = Field(default_factory=list, max_length=100)
     reference: str | None = Field(default=None, max_length=200)
     batch_id: str | None = Field(default=None, max_length=200)
     hypothesis: str | None = Field(default=None, max_length=2000)
@@ -95,7 +116,7 @@ class Control(Contract):
 class CreateTemplate(Contract):
     template: TemplateSpec
     hypothesis: str = Field(min_length=1, max_length=10000)
-    source_item_ids: list[RunId] = Field(min_length=1, max_length=20)
+    source_item_ids: list[RunId] = Field(default_factory=list, max_length=20)
     reference: str | None = Field(default=None, max_length=200)
     idempotency_key: Identifier
 
@@ -112,6 +133,41 @@ class CreateTemplate(Contract):
         return self
 
 
+class CreateTemplateVersion(CreateTemplate):
+    template_id: RunId
+    expected_version: int = Field(ge=1)
+
+
+class TemplateRead(Contract):
+    template_id: RunId
+    version: int | None = Field(default=None, ge=1)
+
+
+class TemplateSearch(Page):
+    q: str = Field(default="", max_length=200)
+
+
+class TemplateExpansion(Contract):
+    template_id: RunId
+    version: int = Field(ge=1)
+    preparation_refs: list[PreparationReference] = Field(min_length=1, max_length=20)
+    settings: CompleteSettings
+    mode: Literal["all", "random"] = "all"
+    limit: int = Field(default=100, ge=1, le=10000)
+    seed: int = 0
+    idempotency_key: Identifier
+
+
+class TemplateCandidates(Page):
+    experiment_id: RunId
+
+
+class SubmitTemplateBacktest(Contract):
+    experiment_id: RunId
+    candidate_ids: list[Identifier] = Field(min_length=1, max_length=10000)
+    idempotency_key: Identifier
+
+
 class CatalogSearch(Contract):
     filters: CatalogFilters
     dataset_id: str | None = Field(default=None, min_length=1, max_length=200)
@@ -123,12 +179,18 @@ class Scopes(Contract):
 
 class SettingOptions(Page):
     kind: Literal["settings"]
+    alpha_type: Literal["REGULAR", "SUPER"] = "REGULAR"
 
 
 class Operators(Page):
     kind: Literal["operators"]
     q: str = Field(default="", max_length=300)
     category: str | None = None
+    stage: Literal["REGULAR", "SELECTION", "COMBO"] | None = None
+
+
+class SuperMetadata(Contract):
+    kind: Literal["superalpha"]
 
 
 class Availability(Contract):
@@ -138,7 +200,7 @@ class Availability(Contract):
 
 
 class Metadata(Contract):
-    query: Annotated[Scopes | SettingOptions | Operators | Availability, Field(discriminator="kind")]
+    query: Annotated[Scopes | SettingOptions | Operators | Availability | SuperMetadata, Field(discriminator="kind")]
 
 
 class CatalogRefresh(Contract):
@@ -186,6 +248,8 @@ class SubmissionCheck(Contract):
 
 
 class History(Page):
+    research_id: str | None = Field(default=None, max_length=36)
+    alpha_type: Literal["REGULAR", "SUPER"] | None = None
     source: str | None = Field(default=None, max_length=100)
     reference: str | None = Field(default=None, max_length=200)
     status: str | None = Field(default=None, max_length=30)
@@ -218,13 +282,13 @@ class Results(Page):
 
 class Artifact(Page):
     item_id: RunId
-    kind: Literal["snapshot", "pnl"]
+    kind: Literal["snapshot", "pnl", "components"]
     date_from: date | None = None
     date_to: date | None = None
 
     @model_validator(mode="after")
     def dates(self):
-        if self.kind == "snapshot" and (self.date_from or self.date_to):
+        if self.kind != "pnl" and (self.date_from or self.date_to):
             raise ValueError("日期筛选仅用于 PnL")
         if self.date_from and self.date_to and self.date_from > self.date_to:
             raise ValueError("起始日期不能晚于结束日期")

backend/app/research_access/pyramids.py

@@ -0,0 +1,41 @@
+"""Partition platform category counts without treating missing evidence as zero."""
+
+from calendar import monthrange
+
+
+def quarter_period(current_date):
+    """Return the full calendar quarter containing the supplied date, inclusive."""
+    quarter = (current_date.month - 1) // 3 + 1
+    end_month = quarter * 3
+    start = current_date.replace(month=end_month - 2, day=1)
+    end = current_date.replace(month=end_month, day=monthrange(current_date.year, end_month)[1])
+    return {"quarter": f"{current_date.year}-Q{quarter}",
+            "start_date": start.isoformat(), "end_date": end.isoformat()}
+
+
+def distribution(raw, region, delay):
+    """Return three category lists; raise ValueError on incomplete or duplicate data."""
+    if not isinstance(raw, dict) or not isinstance(raw.get("pyramids"), list):
+        raise ValueError("平台未提供 Pyramid 分布")
+    groups = {"lit": [], "in_progress": [], "unlit": []}
+    seen = set()
+    for row in raw["pyramids"]:
+        if not isinstance(row, dict):
+            raise ValueError("平台 Pyramid 数据格式异常")
+        if row.get("region") != region or row.get("delay") != delay:
+            continue
+        category, count = row.get("category"), row.get("alphaCount")
+        if (not isinstance(category, dict)
+                or not isinstance(category.get("id"), str) or not category["id"]
+                or not isinstance(category.get("name"), str) or not category["name"]
+                or type(count) is not int or count < 0 or category["id"] in seen):
+            raise ValueError("平台分类或计数缺失、非法或重复，不能判定点塔状态")
+        seen.add(category["id"])
+        key = "lit" if count >= 3 else "in_progress" if count > 0 else "unlit"
+        groups[key].append({"category": {"id": category["id"], "name": category["name"]},
+                            "alpha_count": count, "remaining": max(0, 3 - count)})
+    if not seen:
+        raise ValueError("平台未返回此 region/delay 的分类，不能认定全部未点亮")
+    for items in groups.values():
+        items.sort(key=lambda item: item["category"]["id"])
+    return groups

backend/app/research_access/queries.py

@@ -2,11 +2,12 @@
 
 from collections import Counter
 
-from sqlalchemy import func, select
+from sqlalchemy import func, or_, select
 
 from ..alphas import number, sanitize
 from ..backtests.contracts import fingerprint
 from ..models import BacktestItem, BacktestResult, BacktestRun, Pnl
+from ..platform_checks import is_submission_limit
 from ..research.serialization import encode_snapshot
 
 
@@ -26,6 +27,8 @@ def checks_summary(snapshot):
     if "checks" in snapshot:
         raw = snapshot["checks"]
         checks.extend({"section": "root", "raw": c} for c in (raw if isinstance(raw, list) else [raw]))
+    submission_checks = [c for c in checks if is_submission_limit(c["raw"])]
+    checks = [c for c in checks if not is_submission_limit(c["raw"])]
     counts = Counter({key: 0 for key in ("PASS", "FAIL", "PENDING", "WARNING", "UNKNOWN")})
     non_pass = []
     for check in checks:
@@ -36,7 +39,9 @@ def checks_summary(snapshot):
         if state != "PASS":
             non_pass.append({**check, "status": state})
     return {"status": "unknown" if not checks else "reported", "counts": dict(counts),
-            "total": len(checks), "non_pass": non_pass}
+            "total": len(checks), "non_pass": non_pass,
+            "submission_limits": submission_checks,
+            "meaning": "Alpha 检查统计不含提交限制；限制为快照观测，不代表实时提交资格"}
 
 
 def item_summary(item, result):
@@ -49,7 +54,7 @@ def item_summary(item, result):
                             ("sharpe", "fitness", "returns", "turnover", "margin", "drawdown")}
     return encode_snapshot({
         **{k: getattr(item, k) for k in (
-            "id", "run_id", "client_item_id", "expression", "settings", "attempt_id",
+            "id", "run_id", "client_item_id", "expression", "selection", "combo", "alpha_type", "settings", "attempt_id",
             "platform_status", "collection_status", "persistence_status", "simulation_id", "alpha_id",
         )},
         "error": sanitize(item.error), "metrics": metrics,
@@ -68,10 +73,12 @@ class EvidenceQueries:
         query = select(BacktestItem, BacktestResult, BacktestRun).join(
             BacktestRun, BacktestRun.id == BacktestItem.run_id
         ).outerjoin(BacktestResult, BacktestResult.item_id == BacktestItem.id)
-        for key in ("source", "reference"):
+        for key in ("source", "reference", "research_id"):
             value = getattr(args, key)
             if value is not None:
                 query = query.where(BacktestRun.source["kind" if key == "source" else key].as_string() == value)
+        if args.alpha_type:
+            query = query.where(BacktestItem.alpha_type == args.alpha_type)
         if args.status:
             query = query.where(BacktestRun.status == args.status)
         if args.created_from:
@@ -84,7 +91,7 @@ class EvidenceQueries:
             query = query.where(BacktestItem.settings["delay"].as_integer() == args.scope.delay)
         if args.q:
             escaped = args.q.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")
-            query = query.where(BacktestItem.expression.ilike(f"%{escaped}%", escape="\\"))
+            query = query.where(or_(*(getattr(BacktestItem, key).ilike(f"%{escaped}%", escape="\\") for key in ("expression", "selection", "combo"))))
         matches = {}
         if args.candidates:
             for c in args.candidates:
@@ -115,6 +122,9 @@ class EvidenceQueries:
         if not item:
             raise ResearchError("NOT_FOUND", "候选不存在")
         result = await self.db.get(BacktestResult, item.id)
+        if args.kind == "components":
+            from ..superalpha.evidence import actual_components
+            return await actual_components(self.db, item.id, args.limit, args.offset)
         if args.kind == "snapshot":
             # Top-level entries retain complete nested values; no hidden string/list truncation.
             entries = [{"key": k, "value": v} for k, v in sanitize(result.snapshot).items()] if result else []

backend/app/research_access/service.py

@@ -9,6 +9,7 @@ from uuid import uuid4
 
 from sqlalchemy import func, select
 
+from ..alphas import check_summary
 from ..backtests.contracts import ControlInput, DraftInput, PreviewInput, Source, StartInput, fingerprint
 from ..backtests.service import Backtests
 from ..business import Business
@@ -24,6 +25,8 @@ from ..research.workspace_contracts import FieldAvailabilityInput
 from ..schemas import JobInput
 from ..submission import CheckInput, correlation_allows_check, create_check_job, local_alpha, source
 from ..submission import fingerprint as submission_fingerprint
+from ..superalpha.access import SuperResearchAccess
+from ..worldquant import WqError
 from .contracts import DirectCandidate, History
 from .queries import EvidenceQueries, page
 
@@ -35,7 +38,7 @@ class ResearchError(Exception):
                      "retry_after": retry_after, "affected_items": affected_items or []}
 
 
-class ResearchAccess:
+class ResearchAccess(SuperResearchAccess):
     def __init__(self, db, principal, client, public_origin):
         self.db, self.principal, self.client = db, principal, client
         self.public_origin = public_origin.rstrip("/")
@@ -47,15 +50,44 @@ class ResearchAccess:
     def run_url(self, run_id):
         return f"{self.public_origin}/#backtests?run_id={run_id}"
 
+    async def pyramid_distribution(self, args):
+        """Read the supplied date's full quarter using the three-Alpha completion rule."""
+        from .pyramids import distribution, quarter_period
+
+        account = await self.db.get(Account, self.principal.account_id)
+        if not account or account.wq_user_id != self.principal.wq_user_id:
+            raise ResearchError("ACCOUNT_MISMATCH", "平台账户绑定已变化")
+        period = quarter_period(args.current_date)
+        try:
+            raw = await self.client.get_pyramid_alphas(period["start_date"], period["end_date"])
+            groups = distribution(raw, args.region, args.delay)
+        except WqError as exc:
+            raise ResearchError(exc.code.upper(), str(exc), retryable=True) from None
+        except ValueError as exc:
+            raise ResearchError("INVALID_PLATFORM_DATA", str(exc)) from None
+        return {"region": args.region, "delay": args.delay, "threshold": 3,
+                "current_date": args.current_date.isoformat(), "period": period,
+                "source": "worldquant_platform", **groups}
+
     async def capabilities(self, args):
         return {**await self.backtests.capabilities(), "max_candidates": 100,
                 "settings_schema": DirectCandidate.model_json_schema(),
+                "superalpha": {"plan_with": "save_superalpha_plan", "build_with": "build_superalpha_candidates",
+                    "preview_with": "preview_superalpha_selection", "read_selection_with": "get_superalpha_selection",
+                    "job_with": "get_refresh_job", "backtest_with": "submit_backtests", "platform_batch_size": 1,
+                    "component_evidence": "预览与实际组件分别记录，未知不能认定为同池"},
                 "confirmation": "调用者须已获本批执行授权；直接提交后返回稳定运行 ID",
                 "duplicate_policies": ["reject", "rerun"], "permissions": sorted(self.principal.scopes),
                 "metadata_only": True, "actual_platform_allowance": None,
                 "templates": {
                     "create_with": "create_research_template", "required_scope": "research:write",
-                    "authored_by": "caller", "max_source_items": 20,
+                    "version_with": "create_research_template_version",
+                    "read_with": "get_research_template", "search_with": "search_research_templates",
+                    "authored_by": "caller", "source_items_required": False, "max_source_items": 20,
+                    "expand_with": "expand_research_template", "candidates_with": "get_template_candidates",
+                    "backtest_with": "start_template_backtest", "execution_scope": "backtests:execute",
+                    "max_candidates": 10000, "page_size_max": 100,
+                    "validation": "syntax_and_preparation_settings_combination",
                     "source_items_with": "get_backtest_results", "starts_backtests": False,
                     "web_url": f"{self.public_origin}/#templates",
                 },
@@ -138,15 +170,23 @@ class ResearchAccess:
     async def metadata(self, args):
         q = args.query
         metadata = ResearchMetadata(self.db)
+        if q.kind == "superalpha":
+            from ..superalpha.metadata import metadata as super_metadata
+            return await super_metadata(self.db)
         if q.kind == "scopes":
             return {"source": "worldquant_platform", **await platform_options(self.client)}
         if q.kind == "operators":
-            data = await metadata.operators(q.q, q.category, limit=q.limit, offset=q.offset)
+            data = await metadata.operators(q.q, q.category, limit=q.limit, offset=q.offset, stage=q.stage)
             return {**data, "status": "available" if data["fetched_at"] else "not_cached",
                     "has_more": q.offset + len(data["items"]) < data["total"]}
         if q.kind == "settings":
             data = await metadata.get("settings")
             items = data["content"].get("items", [])
+            special = {"selectionHandling", "selectionLimit", "componentActivation"}
+            if q.alpha_type == "REGULAR":
+                items = [{**r, "fields": {k: v for k, v in r.get("fields", {}).items() if k not in special}} for r in items]
+            else:
+                items = [{**r, "super_settings_completeness": "cached" if special <= r.get("fields", {}).keys() else "unknown"} for r in items]
             return {"status": "available" if data["fetched_at"] else "not_cached",
                     "fetched_at": data["fetched_at"], **page(items[q.offset:q.offset+q.limit], len(items), q.limit, q.offset)}
         data = await metadata.get(availability_key(q.field_id, q.scope))
@@ -180,14 +220,16 @@ class ResearchAccess:
 
     async def refresh_job(self, args):
         job = await self.db.get(Job, args.job_id)
-        if not job or job.kind not in {"catalog_sync", "field_sync", "pnl_refresh", "self_correlation", "submission_check"}:
+        if not job or job.kind not in {"catalog_sync", "field_sync", "pnl_refresh", "self_correlation", "submission_check", "super_selection_preview"}:
             raise ResearchError("NOT_FOUND", "研究刷新任务不存在")
         result = await self.business.get_job_status(args.job_id)
         query = select(JobItem).where(JobItem.job_id == job.id, JobItem.error.is_not(None))
         total = await self.db.scalar(select(func.count()).select_from(query.subquery()))
         errors = list(await self.db.scalars(query.order_by(JobItem.alpha_id).limit(args.limit).offset(args.offset)))
         result.pop("errors", None)
-        return {**result, "job_id": job.id, "artifact_reference": job.payload,
+        artifact = ({"job_id": job.id, "snapshot_id": job.checkpoint.get("snapshot_id"), "read_with": "get_superalpha_selection"}
+                    if job.kind == "super_selection_preview" else job.payload)
+        return {**result, "job_id": job.id, "artifact_reference": artifact,
                 "errors": page([{"alpha_id": e.alpha_id, "error": e.error} for e in errors], total, args.limit, args.offset)}
 
     async def check_self_correlation(self, args):
@@ -221,7 +263,7 @@ class ResearchAccess:
         return {"alpha_id": args.alpha_id, "snapshot": submission_fingerprint(context),
                 **context, "descriptions": {key: item["description"] for key, item in context["sections"].items()},
                 "can_check": alpha.status == "UNSUBMITTED" and await correlation_allows_check(self.db, args.alpha_id),
-                "checks": alpha.checks, "source": "local_cache", "production_submission": False,
+                "checks": alpha.checks, "check_summary": check_summary(alpha.checks, check_type=alpha.check_type), "source": "local_cache", "production_submission": False,
                 "job_id": job.id if job else None, "job_status": job.status if job else None,
                 "checked_at": job.checkpoint.get("checked_at") if job else None}
 
@@ -249,6 +291,76 @@ class ResearchAccess:
         return await self.remember("create_research_template", args, digest, result,
                                    business_id=result["template_id"])
 
+    async def template(self, args):
+        """Read the exact saved template revision without executing research."""
+        from ..research.assets import Assets
+
+        return await Assets(self.db).get(args.template_id, args.version, "template")
+
+    async def templates(self, args):
+        """Search the same template library used by the browser."""
+        from ..research.assets import Assets
+
+        return await Assets(self.db).list("template", **args.model_dump())
+
+    async def create_template_version(self, args):
+        """Append an idempotent, optimistic revision with refreshed source evidence."""
+        from .templates import create_template
+
+        operation = "create_research_template_version"
+        previous, digest = await self.previous(operation, args)
+        if previous:
+            return previous.response
+        result = await create_template(self.db, args, self.principal, asset_id=args.template_id)
+        result["web_url"] = f"{self.public_origin}/#templates"
+        return await self.remember(operation, args, digest, result, business_id=args.template_id)
+
+    async def expand_template(self, args):
+        """Idempotently freeze a version and preparations; never start execution."""
+        from ..research.experiments import Experiments
+        from ..research.workspace_contracts import Expansion
+
+        operation = "expand_research_template"
+        previous, digest = await self.previous(operation, args)
+        if previous:
+            return previous.response
+        service = Experiments(self.db)
+        asset = await service.assets.get(args.template_id, args.version, "template")
+        experiment = await service.create(Expansion(
+            asset_id=args.template_id, version=args.version, preparation_refs=args.preparation_refs,
+            settings=args.settings, mode=args.mode, limit=args.limit, seed=args.seed,
+            hypothesis=asset["content"].get("description", "").strip() or f"使用模板：{asset['name']}",
+        ), extra_evidence={"method": "template", "mcp_token_id": self.principal.token_id,
+                           "admin_id": self.principal.admin_id})
+        result = await service.template_candidates(experiment["id"])
+        result.update({"read_with": "get_template_candidates", "backtest_with": "start_template_backtest",
+                       "starts_backtests": False})
+        return await self.remember(operation, args, digest, result, business_id=experiment["id"])
+
+    async def template_candidates(self, args):
+        from ..research.experiments import Experiments
+
+        return await Experiments(self.db).template_candidates(args.experiment_id, args.limit, args.offset)
+
+    async def start_template_backtest(self, args):
+        """Execute only stored candidate IDs; authorization comes from the caller's execute scope."""
+        from ..research.experiments import Experiments
+        from ..research.workspace_contracts import TemplateBacktest
+
+        operation = "start_template_backtest"
+        previous, digest = await self.previous(operation, args)
+        if previous:
+            return previous.response
+        provenance = {"mcp_token_id": self.principal.token_id, "admin_id": self.principal.admin_id}
+        result = await Experiments(self.db).start_template_backtest(
+            args.experiment_id,
+            TemplateBacktest(candidate_ids=args.candidate_ids, idempotency_key="mcp-template-" + str(uuid4())),
+            backtests=Backtests(self.db, provenance),
+        )
+        result = {**result, "input_digest": digest, "web_url": self.run_url(result["backtest_run_id"])}
+        return await self.remember(operation, args, digest, result,
+                                   business_id=result["backtest_run_id"], wake="backtests")
+
     async def previous(self, operation, args):
         # PostgreSQL row lock is shared with HTTP start and catalog/job creation.
         account = await self.db.scalar(select(Account).where(Account.id == self.principal.account_id).with_for_update())
@@ -285,7 +397,11 @@ class ResearchAccess:
                 invalid.append(c.client_item_id)
         if invalid:
             raise ResearchError("UNSUPPORTED_SETTINGS", "已缓存平台设置不支持这些组合；可显式刷新后重试", affected_items=invalid)
-        return {"settings_validation": "cached", "fetched_at": snapshot["fetched_at"], "field_validation": "unknown"}
+        result = {"settings_validation": "cached", "fetched_at": snapshot["fetched_at"], "field_validation": "unknown"}
+        if any(c.alpha_type == "SUPER" for c in candidates):
+            from ..superalpha.settings import validate_settings
+            result["super_settings_validation"] = await validate_settings(self.db, [c.settings for c in candidates if c.alpha_type == "SUPER"])
+        return result
 
     async def submit(self, args):
         previous, digest = await self.previous("submit_backtests", args)

backend/app/research_access/templates.py

@@ -10,23 +10,27 @@ from ..research.workspace_contracts import AssetWrite
 from .queries import item_summary
 
 
-async def create_template(db, args, principal):
-    """Save a new asset inside the caller's account-locked, idempotent transaction.
+async def create_template(db, args, principal, *, asset_id=None):
+    """Save a new asset or revision inside the caller's account-locked, idempotent transaction.
 
     Args contain the external model's TemplateSpec and local source item IDs.
     Return the versioned asset and theoretical combination count. Raise
     ResearchError for name conflicts or missing/incomplete research evidence.
     Stored evidence proves provenance, not profitability or platform eligibility;
     schema validation does not validate every expanded FASTEXPR combination.
+    Optional asset_id selects a version update guarded by args.expected_version;
+    a stale version raises HTTP 409 and cannot overwrite a historical revision.
     """
     from .service import ResearchError
 
     existing = await db.scalar(select(ResearchAsset).where(
         ResearchAsset.kind == "template", ResearchAsset.name == args.template.name,
+        ResearchAsset.id != asset_id if asset_id else True,
     ).order_by(ResearchAsset.id).limit(1))
     if existing:
         raise ResearchError("TEMPLATE_NAME_CONFLICT", "模板名称已存在，请使用新名称；此工具不覆盖已有模板",
                             affected_items=[{"template_id": existing.id, "version": existing.version}])
+    previous = await Assets(db).get(asset_id, expected_kind="template") if asset_id else None
     rows = (await db.execute(select(BacktestItem, BacktestResult).outerjoin(
         BacktestResult, BacktestResult.item_id == BacktestItem.id,
     ).where(BacktestItem.id.in_(args.source_item_ids)))).all()
@@ -48,13 +52,17 @@ async def create_template(db, args, principal):
         "admin_id": principal.admin_id,
         "source_items": [item_summary(*found[item_id]) for item_id in args.source_item_ids],
     }
+    if previous:
+        provenance["parent_template"] = {"id": asset_id, "version": args.expected_version}
     asset = await Assets(db).save(AssetWrite(
         kind="template", content=args.template.model_dump(mode="json"),
-    ), provenance=provenance)
+        version=args.expected_version if asset_id else None,
+    ), asset_id=asset_id, provenance=provenance)
     return {
         **asset, "template_id": asset["id"],
-        "combination_count": str(math.prod(len(v.values) for v in args.template.variables.values())),
-        "validation": {"structure": "valid", "source_evidence": "recorded",
+        "combination_count": (str(math.prod(len(v.values) for v in args.template.variables.values()))
+                              if all(v.values for v in args.template.variables.values()) else None),
+        "validation": {"structure": "valid", "source_evidence": "recorded" if args.source_item_ids else "not_provided",
                        "expanded_candidates": "not_validated", "platform_semantics": "unknown"},
-        "next_step": "在模板工坊选择固定输入及模拟设置，展开并核验候选，再确认批量回测。",
+        "next_step": "选择数据准备和回测参数，用 expand_research_template 生成候选集合；核对候选后按已获授权范围调用 start_template_backtest。也可在模板工坊完成。",
     }

backend/app/schemas.py

@@ -9,7 +9,7 @@ from pydantic import BaseModel, ConfigDict, Field, field_validator, model_valida
 
 ResearchState = Literal["inbox", "candidate", "optimizing", "archived"]
 Submission = Literal["UNSUBMITTED", "SUBMITTED"]
-CheckType = Literal["PENDING", "PRE_CHECK", "PASS", "FAIL_1", "FAIL_2"]
+CheckType = Literal["PENDING", "PRE_CHECK", "PASS", "PPAC_CANDIDATE", "FAIL_1", "FAIL_2"]
 SortField = Literal[
     "id",
     "name",
@@ -69,6 +69,12 @@ class PreferencesInput(Contract):
 
 
 class AlphaFilters(Contract):
+    management_scope: Literal["super", "non_super"] | None = None
+    local_correlation_status: Literal["not_cached", "stale", "low", "high", "partial", "insufficient_data"] | None = None
+    local_correlation_min: float | None = Field(default=None, ge=-1, le=1)
+    local_correlation_max: float | None = Field(default=None, ge=-1, le=1)
+    submission_blocked: bool | None = None
+    ppac_candidate: bool | None = None
     submission: Submission | None = None
     source: str | None = Field(default=None, max_length=100)
     source_reference: str | None = Field(default=None, max_length=200)
@@ -124,7 +130,7 @@ class AlphaFilters(Contract):
     @model_validator(mode="after")
     def range_order(self):
         for key in (
-            "sharpe", "fitness", "returns", "turnover", "margin", "drawdown",
+            "local_correlation", "sharpe", "fitness", "returns", "turnover", "margin", "drawdown",
             "sub_universe_sharpe", "robust_universe_sharpe", "two_year_sharpe", "prod_correlation", "pnl",
         ):
             lo, hi = getattr(self, f"{key}_min"), getattr(self, f"{key}_max")
@@ -187,7 +193,7 @@ class BulkUpdate(BulkInput):
 
 
 class JobInput(Contract):
-    kind: Literal["full_sync", "daily_sync", "alpha_refresh", "pnl_refresh", "pnl_backfill", "self_correlation"]
+    kind: Literal["full_sync", "daily_sync", "alpha_refresh", "pnl_refresh", "pnl_backfill", "self_correlation", "self_correlation_recheck"]
     alpha_ids: list[str] = Field(default_factory=list)
     submission: Submission | None = None
     date_from: date | None = None
@@ -195,7 +201,10 @@ class JobInput(Contract):
 
     @model_validator(mode="after")
     def validate_ids(self):
-        if self.kind == "pnl_backfill":
+        if self.kind == "self_correlation_recheck":
+            if self.alpha_ids or self.submission is not None or self.date_from is not None or self.date_to is not None:
+                raise ValueError("重检自相关覆盖全部预检通过和检查通过的 Alpha，不接受 ID、分组或日期范围")
+        elif self.kind == "pnl_backfill":
             if self.alpha_ids or self.submission is not None or self.date_from is not None or self.date_to is not None:
                 raise ValueError("检查 PnL 自动覆盖全部本地已提交 Alpha，不接受 ID、分组或日期范围")
         elif self.kind in ("full_sync", "daily_sync"):
@@ -230,6 +239,9 @@ class AlphaSummary(BaseModel):
     id: str
     name: str | None
     expression_preview: str
+    selection_preview: str = ""
+    combo_preview: str = ""
+    component_count: int | None = None
     alpha_type: str | None
     language: str | None
     stage: str | None

backend/app/submission.py

@@ -15,7 +15,7 @@ from pydantic_ai.usage import UsageLimits
 from sqlalchemy import select
 
 from .ai.provider import public_error
-from .alphas import code, sanitize, snapshot_columns, submission_condition
+from .alphas import check_summary, code, sanitize, snapshot_columns, submission_condition
 from .jobs import ACTIVE
 from .models import Account, AISettings, Alpha, Job, JobItem, SelfCorrelation, now
 from .schemas import Contract, JobOutput, valid_ids
@@ -206,6 +206,8 @@ def router(runner, ai):
             )
             return {
                 "snapshot": fingerprint(context),
+                "checks": alpha.checks,
+                "check_summary": check_summary(alpha.checks, check_type=alpha.check_type),
                 "sections": context["sections"],
                 "descriptions": {key: item["description"] for key, item in context["sections"].items()},
                 "model": config.description_model,
@@ -353,8 +355,11 @@ async def run_check(runner, job_id, payload):
         alpha.checks = sanitize(checks)
         alpha.is_metrics = {**alpha.is_metrics, "checks": alpha.checks}
         alpha.raw = {**alpha.raw, "is": {**(alpha.raw.get("is") or {}), "checks": alpha.checks}}
-        for key, value in snapshot_columns(alpha.settings, alpha.is_metrics, alpha.checks).items():
+        for key, value in snapshot_columns(alpha.settings, alpha.is_metrics, alpha.checks, checked=True).items():
             setattr(alpha, key, value)
         db.add(JobItem(job_id=job_id, alpha_id=alpha_id))
         job.processed = 1
-        job.checkpoint = {"alpha_id": alpha_id, "phase": "checked", "checked_at": now().isoformat()}
+        job.checkpoint = {
+            "alpha_id": alpha_id, "phase": "checked", "checked_at": now().isoformat(),
+            "review_snapshot": fingerprint(source(alpha.raw)),
+        }

backend/app/superalpha/__init__.py

@@ -0,0 +1 @@
+"""Super Alpha construction and immutable component evidence over shared execution."""

backend/app/superalpha/access.py

@@ -0,0 +1,43 @@
+"""MCP adapter using the same SUPER operations and records as the web editor."""
+
+from ..research.assets import Assets
+from .evidence import read_selection
+from .service import SuperResearch
+
+
+class SuperResearchAccess:
+    async def super_plans(self, args):
+        return await Assets(self.db).list("superalpha_plan", args.q, args.limit, args.offset)
+
+    async def super_plan(self, args):
+        if args.experiment_id:
+            return await SuperResearch(self.db).experiment(args.experiment_id, args.limit, args.offset)
+        return await Assets(self.db).get(args.plan_id, args.version, "superalpha_plan")
+
+    async def save_super_plan(self, args):
+        result = await SuperResearch(self.db).save(args)
+        return {**result, "web_url": f"{self.public_origin}/#superalpha-research?plan_id={result['id']}"}
+
+    async def preview_super_selection(self, args):
+        result = await SuperResearch(self.db).selection_job(args)
+        self.wake = "jobs"
+        return result
+
+    async def super_selection(self, args):
+        return await read_selection(self.db, args)
+
+    async def build_super_candidates(self, args):
+        result = await SuperResearch(self.db).build(args)
+        return {**result, "web_url": f"{self.public_origin}/#superalpha-research?experiment_id={result['id']}",
+                "submit_with": "submit_backtests", "starts_backtests": False,
+                "submit_source": {k: result["source"][k] for k in ("research_id", "superalpha_plan_id", "superalpha_plan_version", "selection_snapshot_ids", "reference", "hypothesis")},
+                "paging": "完整候选可用 get_superalpha_plan 的 experiment_id 读取"}
+
+    async def super_alphas(self, args):
+        args.filters.management_scope = "super"
+        args.filters.alpha_type = "SUPER"
+        return await self.business.search_alphas(args.filters)
+
+    async def super_alpha(self, args):
+        result = await SuperResearch(self.db).alpha(args.alpha_id)
+        return {**result, "web_url": f"{self.public_origin}/#superalphas?alpha_id={args.alpha_id}"}

backend/app/superalpha/contracts.py

@@ -0,0 +1,140 @@
+"""Bounded SUPER authoring inputs, independent from regular data-field preparation."""
+
+from typing import Literal
+
+from pydantic import Field, field_validator, model_validator
+
+from ..backtests.contracts import SuperSimulationSettings
+from ..research.expressions import IDENTIFIER, PLACEHOLDER
+from ..research.workspace_contracts import Variable
+from ..schemas import AlphaFilters, Contract
+
+
+class PlanSpec(Contract):
+    name: str = Field(min_length=1, max_length=200)
+    hypothesis: str = Field(min_length=1, max_length=2000)
+    selection: str = Field(min_length=1, max_length=20000)
+    combo: str = Field(min_length=1, max_length=20000)
+    variables: dict[str, Variable] = Field(default_factory=dict, max_length=50)
+    settings: SuperSimulationSettings
+    setting_variants: dict[str, list[str | int | float | bool]] = Field(default_factory=dict, max_length=20)
+    include_baseline: bool = False
+    reference: str = Field(default="", max_length=200)
+    parent_plan_id: str | None = Field(default=None, max_length=36)
+    parent_plan_version: int | None = Field(default=None, ge=1)
+    parent_alpha_id: str | None = Field(default=None, pattern=r"^[A-Za-z0-9_-]{1,100}$")
+    parent_experiment_id: str | None = Field(default=None, max_length=36)
+
+    @field_validator("name", "hypothesis", "selection", "combo")
+    @classmethod
+    def text(cls, value):
+        if not value.strip():
+            raise ValueError("内容不能为空")
+        return value.strip()
+
+    @model_validator(mode="after")
+    def bindings(self):
+        text = self.selection + "\n" + self.combo
+        if set(PLACEHOLDER.findall(text)) != set(self.variables):
+            raise ValueError("Selection/Combo 占位符必须与变量逐一对应")
+        if any(not IDENTIFIER.fullmatch(k) or v.kind == "field" for k, v in self.variables.items()):
+            raise ValueError("SUPER 变量须使用合法名称，不能使用 REGULAR 数据字段绑定")
+        if "{" in PLACEHOLDER.sub("", text) or "}" in PLACEHOLDER.sub("", text):
+            raise ValueError("占位符格式错误")
+        for key, values in self.setting_variants.items():
+            if key not in SuperSimulationSettings.model_fields or not 1 <= len(values) <= 100:
+                raise ValueError("设置变量必须为已支持设置，每项 1–100 个候选值")
+            for value in values:
+                SuperSimulationSettings.model_validate({**self.settings.model_dump(), key: value})
+        if bool(self.parent_plan_id) != bool(self.parent_plan_version):
+            raise ValueError("父方案必须同时指定 ID 和版本")
+        return self
+
+
+class PlanSearch(Contract):
+    q: str = Field(default="", max_length=200)
+    limit: int = Field(default=25, ge=1, le=100)
+    offset: int = Field(default=0, ge=0)
+
+
+class PlanReference(PlanSearch):
+    plan_id: str | None = Field(default=None, min_length=1, max_length=36)
+    experiment_id: str | None = Field(default=None, min_length=1, max_length=36)
+    version: int | None = Field(default=None, ge=1)
+
+    @model_validator(mode="after")
+    def one_reference(self):
+        if bool(self.plan_id) == bool(self.experiment_id) or (self.version and not self.plan_id):
+            raise ValueError("提供 plan_id 或 experiment_id 之一；version 仅用于方案")
+        return self
+
+
+class PlanSave(Contract):
+    plan: PlanSpec
+    plan_id: str | None = Field(default=None, max_length=36)
+    version: int | None = Field(default=None, ge=1)
+    idempotency_key: str = Field(min_length=1, max_length=100)
+
+    @model_validator(mode="after")
+    def reference(self):
+        if bool(self.plan_id) != bool(self.version):
+            raise ValueError("更新须同时提供方案 ID 与当前版本")
+        return self
+
+
+class SelectionPreview(Contract):
+    plan_id: str | None = Field(default=None, max_length=36)
+    version: int | None = Field(default=None, ge=1)
+    selection: str = Field(min_length=1, max_length=20000)
+    settings: SuperSimulationSettings
+
+    @field_validator("selection")
+    @classmethod
+    def concrete(cls, value):
+        if not value.strip() or "{" in value or "}" in value:
+            raise ValueError("预览须提供展开后的非空 Selection")
+        return value.strip()
+
+    def platform_query(self):
+        return {"selection": self.selection, **self.settings.model_dump(include={
+            "instrumentType", "region", "delay", "selectionLimit", "selectionHandling"})}
+
+
+class SelectionReference(PlanSearch):
+    snapshot_id: str | None = Field(default=None, max_length=36)
+    job_id: str | None = Field(default=None, max_length=36)
+
+    @model_validator(mode="after")
+    def one(self):
+        if bool(self.snapshot_id) == bool(self.job_id):
+            raise ValueError("提供 snapshot_id 或 job_id 之一")
+        return self
+
+
+class BuildCandidates(Contract):
+    plan: PlanSpec | None = None
+    plan_id: str | None = Field(default=None, max_length=36)
+    version: int | None = Field(default=None, ge=1)
+    mode: Literal["all", "random"] = "all"
+    limit: int = Field(default=100, ge=1, le=10000)
+    seed: int = Field(default=0, ge=0, le=2147483647)
+    selection_snapshot_ids: list[str] = Field(default_factory=list, max_length=100)
+    idempotency_key: str = Field(min_length=1, max_length=100)
+
+    @model_validator(mode="after")
+    def one(self):
+        if bool(self.plan) == bool(self.plan_id) or bool(self.plan_id) != bool(self.version):
+            raise ValueError("提供内联方案或方案 ID/版本之一")
+        return self
+
+
+class SuperAlphaSearch(Contract):
+    filters: AlphaFilters = Field(default_factory=AlphaFilters)
+
+
+class AlphaReference(Contract):
+    alpha_id: str = Field(pattern=r"^[A-Za-z0-9_-]{1,100}$")
+
+
+class ExperimentPreview(Contract):
+    candidate_ids: list[str] = Field(min_length=1, max_length=10000)

backend/app/superalpha/evidence.py

@@ -0,0 +1,97 @@
+"""Parse only explicit component evidence; never infer actual members from a preview."""
+
+import re
+from datetime import datetime
+from uuid import uuid4
+
+from fastapi import HTTPException
+from sqlalchemy import select
+
+from ..alphas import sanitize
+from ..backtests.contracts import fingerprint
+from ..models import SuperSelectionSnapshot
+from ..research.serialization import encode_snapshot
+
+
+def parse_components(raw):
+    """Return normalized rows and completeness; count/duplicate/next ambiguity stays unknown."""
+    warnings = []
+    if isinstance(raw, dict):
+        supplied = raw.get("warnings", [])
+        warnings.extend(supplied if isinstance(supplied, list) else [supplied])
+        rows = raw.get("results", raw.get("alphas", raw.get("components")))
+        total = raw.get("count", raw.get("total"))
+        complete_hint = raw.get("complete") is True
+        next_page = raw.get("next")
+    else:
+        rows, total, complete_hint, next_page = raw, None, False, None
+    invalid_total = total is not None and (type(total) is not int or total < 0)
+    total = total if type(total) is int and total >= 0 else None
+    valid_shape = isinstance(rows, list)
+    items, seen, malformed = [], set(), False
+    for row in rows if valid_shape else []:
+        entry = {"id": row} if isinstance(row, str) else row
+        if not isinstance(entry, dict):
+            malformed = True
+            continue
+        alpha_id = entry.get("id", entry.get("alpha", entry.get("alphaId")))
+        if not isinstance(alpha_id, str) or not re.fullmatch(r"[A-Za-z0-9_-]{1,100}", alpha_id) or alpha_id in seen:
+            malformed = True
+            continue
+        seen.add(alpha_id)
+        items.append({**sanitize(entry), "id": alpha_id})
+    complete = valid_shape and not malformed and not invalid_total and not next_page and (
+        (total is not None and total == len(items)) or (total is None and complete_hint))
+    if not complete:
+        warnings.append("组件列表未核实完整性；不生成完整组件指纹，不用于同池结论")
+    return {"components": items, "total": total, "complete": complete,
+            "component_hash": fingerprint({"alpha_ids": sorted(seen)}) if complete else None,
+            "warnings": sanitize(warnings)}
+
+
+def snapshot_output(row, limit=25, offset=0, q=""):
+    items = [item for item in row.components if not q or q.lower() in str(item).lower()]
+    return encode_snapshot({"snapshot_id": row.id, "job_id": row.job_id, "item_id": row.item_id,
+        "source": row.source, "request": row.request, "request_hash": row.request_hash,
+        "component_hash": row.component_hash, "complete": row.complete, "reported_total": row.total,
+        "observed_at": row.observed_at, "warnings": row.warnings,
+        "status": "available" if row.complete else "unknown", "total": len(items),
+        "limit": limit, "offset": offset, "has_more": offset + limit < len(items),
+        "items": items[offset:offset + limit]})
+
+
+async def read_selection(db, args):
+    query = select(SuperSelectionSnapshot)
+    query = query.where(SuperSelectionSnapshot.id == args.snapshot_id) if args.snapshot_id else query.where(
+        SuperSelectionSnapshot.job_id == args.job_id)
+    row = await db.scalar(query)
+    if not row:
+        if args.job_id:
+            from ..models import Job
+            job = await db.get(Job, args.job_id)
+            if not job or job.kind != "super_selection_preview":
+                raise HTTPException(404, "组件预览任务不存在")
+            return {"status": job.status, "snapshot_id": None, "job_id": job.id, "items": [],
+                    "total": 0, "complete": False, "error": job.error, "observed_at": None}
+        raise HTTPException(404, "组件快照不存在")
+    return snapshot_output(row, args.limit, args.offset, args.q)
+
+
+async def save_actual_components(db, item, detail, observed_at):
+    raw = detail.get("components", detail.get("selectedAlphas"))
+    if raw is None and isinstance(detail.get("selection"), dict):
+        selection = detail["selection"]
+        if isinstance(selection.get("alphas"), list):
+            raw = {"alphas": selection["alphas"], "count": selection.get("count")}
+    request = {"type": "SUPER", "selection": item.selection, "combo": item.combo, "settings": item.settings}
+    parsed = parse_components(raw)
+    db.add(SuperSelectionSnapshot(id=str(uuid4()), item_id=item.id, source="actual", request=request,
+        request_hash=fingerprint(request), raw=sanitize(raw) if isinstance(raw, (dict, list)) else {},
+        observed_at=datetime.fromisoformat(observed_at), **parsed))
+
+
+async def actual_components(db, item_id, limit=25, offset=0):
+    row = await db.scalar(select(SuperSelectionSnapshot).where(SuperSelectionSnapshot.item_id == item_id))
+    return snapshot_output(row, limit, offset) if row else {
+        "status": "unknown", "complete": False, "source": "actual", "items": [], "total": 0,
+        "component_hash": None, "observed_at": None, "warnings": ["平台实际组件尚未核实"]}

backend/app/superalpha/jobs.py

@@ -0,0 +1,31 @@
+"""Selection previews run on the existing durable job runner, outside request transactions."""
+
+import asyncio
+from uuid import uuid4
+
+from sqlalchemy import select
+
+from ..alphas import sanitize
+from ..backtests.contracts import fingerprint
+from ..models import Job, SuperSelectionSnapshot, now
+from .contracts import SelectionPreview
+from .evidence import parse_components
+
+
+async def run_selection(runner, job_id, payload):
+    async with runner.sessions() as db:
+        existing = await db.scalar(select(SuperSelectionSnapshot).where(SuperSelectionSnapshot.job_id == job_id))
+        if existing:
+            return  # Restart after snapshot commit must not replace the original observation.
+    request = SelectionPreview.model_validate(payload)
+    raw = await runner.client.run_super_selection(request.platform_query())
+    parsed = parse_components(raw)
+    async with runner.sessions.begin() as db:
+        job = await db.get(Job, job_id)
+        if job.cancel_requested:
+            raise asyncio.CancelledError()
+        snapshot = SuperSelectionSnapshot(id=str(uuid4()), job_id=job_id, source="preview", request=payload,
+            request_hash=fingerprint(request.platform_query()), raw=sanitize(raw), **parsed)
+        db.add(snapshot)
+        job.processed, job.total, job.updated_at = 1, 1, now()
+        job.checkpoint = {"snapshot_id": snapshot.id, "complete": parsed["complete"]}

backend/app/superalpha/metadata.py

@@ -0,0 +1,27 @@
+"""Separate Alpha selection properties from stock data fields; availability remains evidence based."""
+
+from ..backtests.contracts import SuperSimulationSettings
+from ..catalog.research_metadata import ResearchMetadata
+
+
+async def metadata(db):
+    settings = await ResearchMetadata(db).get("settings")
+    return {"settings_schema": SuperSimulationSettings.model_json_schema(), "settings_snapshot": settings,
+        "selection_properties": [{"name": name, "description": description} for name, description in (
+            ("category", "用户设置的 Alpha 类别"), ("color", "用户设置的颜色"),
+            ("datasets", "组件使用的数据集集合，可配合 in()"), ("datafields", "组件使用的数据字段集合"),
+            ("datacategories", "组件使用的数据类别集合"), ("dataset_count", "不同数据集数量"),
+            ("datafield_count", "不同数据字段数量"), ("datacategory_count", "不同数据类别数量"),
+            ("decay", "组件的衰减设置"), ("favorite", "平台收藏状态"), ("name", "组件名称，按完整名称匹配"),
+            ("neutralization", "组件的中性化设置"), ("operator_count", "组件表达式算子数量"),
+            ("long_count", "IS 平均多头股票数量"), ("short_count", "IS 平均空头股票数量"),
+            ("tags", "组件的自定义标签集合"), ("truncation", "组件截断设置"),
+            ("turnover", "组件 IS 换手率"), ("universe", "组件股票池名称"),
+            ("self_correlation", "组件自相关属性"), ("prod_correlation", "组件生产相关性属性"),
+            ("os_start_date", "组件样本外起始日期，YYYY-MM-DD 字符串"),
+            ("classifications", "组件分类集合"), ("competitions", "组件关联比赛集合"))],
+        "property_source": "BRAIN Selection Expression 文档快照（2025-10-16）；属性列表非账户实时授权清单，具体可用性以平台响应为准",
+        "combo_input": "alpha 表示选中的组件；Combo 返回每日每个组件的权重，常量 1 可作为等权基线",
+        "selection_object": "平台可供选择的已提交 ACTIVE Alpha；本地列表不等同于平台完整组件池",
+        "operator_query": {"kind": "operators", "stage": "SELECTION"},
+        "validation": "结构校验与平台执行分开；缺少适用范围的算子保持未知"}

backend/app/superalpha/routes.py

@@ -0,0 +1,135 @@
+"""Authenticated SUPER authoring endpoints; construction never starts a simulation."""
+
+from fastapi import APIRouter, Depends, HTTPException, Query, Request
+from pydantic import ValidationError
+from sqlalchemy import func, select
+
+from ..models import SuperSelectionSnapshot
+from ..research.assets import Assets
+from ..security import require_auth
+from .contracts import BuildCandidates, ExperimentPreview, PlanSave, SelectionPreview, SelectionReference
+from .evidence import read_selection, snapshot_output
+from .metadata import metadata
+from .service import SuperResearch
+
+router = APIRouter(prefix="/api/v1/superalpha", tags=["superalpha"], dependencies=[Depends(require_auth)])
+
+
+@router.get("/metadata")
+async def get_metadata(request: Request):
+    async with request.app.state.sessions() as db:
+        return await metadata(db)
+
+
+@router.get("/plans")
+async def plans(request: Request, q: str = "", limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    async with request.app.state.sessions() as db:
+        return await Assets(db).list("superalpha_plan", q, limit, offset)
+
+
+@router.post("/plans")
+async def save_plan(body: PlanSave, request: Request):
+    async with request.app.state.sessions.begin() as db:
+        return await SuperResearch(db).save(body)
+
+
+@router.get("/plans/{plan_id}")
+async def plan(plan_id: str, request: Request, version: int | None = Query(None, ge=1)):
+    async with request.app.state.sessions() as db:
+        return await Assets(db).get(plan_id, version, "superalpha_plan")
+
+
+@router.get("/plans/{plan_id}/versions")
+async def versions(plan_id: str, request: Request):
+    async with request.app.state.sessions() as db:
+        await Assets(db).get(plan_id, expected_kind="superalpha_plan")
+        return await Assets(db).versions(plan_id)
+
+
+@router.delete("/plans/{plan_id}")
+async def archive(plan_id: str, request: Request, version: int = Query(..., ge=1)):
+    async with request.app.state.sessions.begin() as db:
+        await Assets(db).get(plan_id, expected_kind="superalpha_plan")
+        return await Assets(db).archive(plan_id, version)
+
+
+@router.post("/selections", status_code=202)
+async def preview_selection(body: SelectionPreview, request: Request):
+    async with request.app.state.sessions.begin() as db:
+        result = await SuperResearch(db).selection_job(body)
+    request.app.state.runner.wake.set()
+    return result
+
+
+@router.get("/selections")
+async def selection(request: Request, snapshot_id: str | None = None, job_id: str | None = None,
+                    q: str = "", limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    try:
+        args = SelectionReference(snapshot_id=snapshot_id, job_id=job_id, q=q, limit=limit, offset=offset)
+    except ValidationError as exc:
+        raise HTTPException(422, str(exc)) from None
+    async with request.app.state.sessions() as db:
+        return await read_selection(db, args)
+
+
+@router.post("/candidates", status_code=201)
+async def build(body: BuildCandidates, request: Request):
+    async with request.app.state.sessions.begin() as db:
+        return await SuperResearch(db).build(body)
+
+
+@router.get("/experiments")
+async def experiments(request: Request, plan_id: str | None = None,
+                      limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    async with request.app.state.sessions() as db:
+        return await SuperResearch(db).experiments(plan_id, limit, offset)
+
+
+@router.get("/experiments/{experiment_id}")
+async def experiment(experiment_id: str, request: Request, limit: int = Query(100, ge=1, le=100), offset: int = Query(0, ge=0)):
+    async with request.app.state.sessions() as db:
+        return await SuperResearch(db).experiment(experiment_id, limit, offset)
+
+
+@router.post("/experiments/{experiment_id}/preview")
+async def preview(experiment_id: str, body: ExperimentPreview, request: Request):
+    async with request.app.state.sessions.begin() as db:
+        return await SuperResearch(db).preview(experiment_id, body.candidate_ids)
+
+
+@router.get("/alphas/{alpha_id}")
+async def alpha(alpha_id: str, request: Request):
+    async with request.app.state.sessions() as db:
+        return await SuperResearch(db).alpha(alpha_id)
+
+
+@router.get("/selection-history")
+async def selection_history(request: Request, plan_id: str, limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    async with request.app.state.sessions() as db:
+        query = select(SuperSelectionSnapshot).where(SuperSelectionSnapshot.source == "preview", SuperSelectionSnapshot.request["plan_id"].as_string() == plan_id)
+        total = await db.scalar(select(func.count()).select_from(query.subquery()))
+        rows = await db.scalars(query.order_by(SuperSelectionSnapshot.observed_at.desc(), SuperSelectionSnapshot.id).limit(limit).offset(offset))
+        return {"items": [snapshot_output(row, 0) for row in rows], "total": total, "limit": limit, "offset": offset}
+
+
+@router.get("/experiments/{experiment_id}/results")
+async def experiment_results(experiment_id: str, request: Request, limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    from ..models import Pnl
+    from ..research.serialization import encode_snapshot
+    from ..research_access.contracts import History
+    from ..research_access.queries import EvidenceQueries
+    from .evidence import actual_components
+    async with request.app.state.sessions() as db:
+        await SuperResearch(db).experiment(experiment_id, 1)
+        result = await EvidenceQueries(db).history(History(research_id=experiment_id, alpha_type="SUPER", limit=limit, offset=offset))
+        for item in result["items"]:
+            item["components"] = await actual_components(db, item["id"], 0)
+            pnl = await db.get(Pnl, item["alpha_id"]) if item["alpha_id"] else None
+            item["pnl_fetched_at"] = pnl.fetched_at if pnl else None
+        return encode_snapshot(result)
+
+
+@router.get("/alphas/{alpha_id}/components")
+async def alpha_components(alpha_id: str, request: Request, limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+    async with request.app.state.sessions() as db:
+        return (await SuperResearch(db).alpha(alpha_id, limit, offset))["components"]

backend/app/superalpha/service.py

@@ -0,0 +1,227 @@
+"""Versioned SUPER plans and deterministic candidate construction; never executes simulations."""
+
+import math
+import random
+from uuid import uuid4
+
+from fastapi import HTTPException
+from sqlalchemy import func, select
+
+from ..alphas import sanitize
+from ..backtests.contracts import Candidate, DraftInput, PreviewInput, Source, fingerprint
+from ..backtests.service import Backtests
+from ..models import Account, Alpha, Job, ResearchExperiment, ResearchRequest, SuperSelectionSnapshot, now
+from ..research.assets import Assets
+from ..research.expressions import PLACEHOLDER
+from ..research.serialization import encode_snapshot
+from ..research.workspace_contracts import AssetWrite
+from .contracts import PlanSpec, SelectionPreview
+from .evidence import actual_components, parse_components
+from .settings import validate_settings
+
+
+async def validate_source(db, source, candidates):
+    """Verify server-owned provenance references without making assets mandatory for direct execution."""
+    if (source.get("superalpha_plan_id") or source.get("selection_snapshot_ids") or source.get("kind") == "superalpha") and any(c.get("alpha_type", "REGULAR") != "SUPER" for c in candidates):
+        raise HTTPException(422, "Super Alpha 方案或组件来源只能关联 SUPER 候选")
+    await validate_settings(db, [c["settings"] for c in candidates if c.get("alpha_type") == "SUPER"])
+    experiment = None
+    if bool(source.get("superalpha_plan_id")) != bool(source.get("superalpha_plan_version")):
+        raise HTTPException(422, "方案引用须同时指定 ID 和版本")
+    if source.get("superalpha_plan_id"):
+        if not source.get("superalpha_plan_version"):
+            raise HTTPException(422, "方案引用须指定版本")
+        await Assets(db).get(source["superalpha_plan_id"], source["superalpha_plan_version"], "superalpha_plan")
+    if source.get("research_id") and (source.get("kind") == "superalpha" or source.get("superalpha_plan_id") or any(c.get("alpha_type") == "SUPER" for c in candidates)):
+        experiment = await db.get(ResearchExperiment, source["research_id"])
+        if not experiment or experiment.kind != "superalpha":
+            raise HTTPException(404, "SUPER 候选构造记录不存在")
+        source["research_kind"] = "superalpha"
+        expected = {c["client_item_id"]: fingerprint(Candidate.model_validate(c).platform_input()) for c in experiment.candidates}
+        for value in candidates:
+            c = Candidate.model_validate(value)
+            if expected.get(c.client_item_id) != fingerprint(c.platform_input()):
+                raise HTTPException(409, "候选与引用的固定构造记录不一致")
+        ref = experiment.evidence.get("plan_reference", {})
+        if source.get("superalpha_plan_id") and ref != {
+            "id": source["superalpha_plan_id"], "version": source["superalpha_plan_version"]}:
+            raise HTTPException(409, "方案版本与构造来源不一致")
+    for snapshot_id in source.get("selection_snapshot_ids", []):
+        row = await db.get(SuperSelectionSnapshot, snapshot_id)
+        if not row or row.source != "preview":
+            raise HTTPException(404, "Selection 预览快照不存在")
+        query = SelectionPreview.model_validate(row.request).platform_query()
+        if not any(Candidate.model_validate(c).alpha_type == "SUPER" and SelectionPreview(
+            selection=c["selection"], settings=c["settings"]).platform_query() == query for c in (experiment.candidates if experiment else candidates)):
+            raise HTTPException(409, "组件预览与候选 Selection/范围不匹配")
+
+
+class SuperResearch:
+    def __init__(self, db):
+        self.db = db
+        self.assets = Assets(db)
+
+    async def previous(self, operation, args):
+        account = await self.db.scalar(select(Account).where(Account.id == 1).with_for_update())
+        if not account:
+            raise HTTPException(409, "工作空间未初始化")
+        digest = fingerprint(args.model_dump(mode="json", exclude={"idempotency_key"}))
+        previous = await self.db.scalar(select(ResearchRequest).where(ResearchRequest.account_id == 1,
+            ResearchRequest.operation == operation, ResearchRequest.idempotency_key == args.idempotency_key))
+        if previous and previous.digest != digest:
+            raise HTTPException(409, "幂等键已用于不同内容")
+        return previous, digest
+
+    async def remember(self, operation, args, digest, result, business_id):
+        result = encode_snapshot(result)
+        result["_meta"] = {"schema_version": 1, "observed_at": now().isoformat(), "source": "system"}
+        self.db.add(ResearchRequest(id=str(uuid4()), account_id=1, operation=operation,
+            idempotency_key=args.idempotency_key, digest=digest, business_id=business_id, response=result))
+        await self.db.flush()
+        return result
+
+    async def provenance(self, plan):
+        result = {"reference": plan.reference}
+        if plan.parent_plan_id:
+            parent = await self.assets.get(plan.parent_plan_id, plan.parent_plan_version, "superalpha_plan")
+            result["parent_plan"] = {k: parent[k] for k in ("id", "version", "name")}
+        if plan.parent_alpha_id:
+            alpha = await self.db.get(Alpha, plan.parent_alpha_id)
+            if not alpha or alpha.alpha_type != "SUPER":
+                raise HTTPException(404, "父 SUPER Alpha 尚未导入")
+            result["parent_alpha"] = {"id": alpha.id, "snapshot": sanitize(alpha.raw), "observed_at": alpha.synced_at}
+        if plan.parent_experiment_id:
+            parent = await self.experiment(plan.parent_experiment_id)
+            result["parent_experiment"] = {"id": parent["id"], "created_at": parent["created_at"]}
+        return encode_snapshot(result)
+
+    async def save(self, args):
+        previous, digest = await self.previous("save_superalpha_plan", args)
+        if previous:
+            return previous.response
+        await validate_settings(self.db, [args.plan.settings])
+        result = await self.assets.save(AssetWrite(kind="superalpha_plan", content=args.plan.model_dump(mode="json"),
+            version=args.version), args.plan_id, await self.provenance(args.plan))
+        return await self.remember("save_superalpha_plan", args, digest, result, result["id"])
+
+    async def build(self, args):
+        previous, digest = await self.previous("build_superalpha_candidates", args)
+        if previous:
+            return previous.response
+        asset = await self.assets.get(args.plan_id, args.version, "superalpha_plan") if args.plan_id else None
+        plan = PlanSpec.model_validate(asset["content"]) if asset else args.plan
+        provenance = await self.provenance(plan)
+        names = list(plan.variables)
+        settings_names = list(plan.setting_variants)
+        axes = [plan.variables[k].values for k in names] + [plan.setting_variants[k] for k in settings_names]
+        count = math.prod(len(a) for a in axes)
+        if count > 10**12 or (args.mode == "all" and count > args.limit):
+            raise HTTPException(422, f"理论组合数 {count} 超出展开上限；缩小参数或采用随机采样")
+        indices = range(count) if args.mode == "all" else sorted(random.Random(args.seed).sample(range(count), min(count, args.limit)))
+        candidates, annotations, seen = [], {}, {}
+        for index in indices:
+            remaining, values = index, []
+            for axis in reversed(axes):
+                remaining, position = divmod(remaining, len(axis))
+                values.insert(0, axis[position])
+            bindings = dict(zip(names, values[:len(names)]))
+            def substitute(text):
+                return PLACEHOLDER.sub(lambda m: str(bindings[m.group(1)]), text)
+            selection, combo = substitute(plan.selection), substitute(plan.combo)
+            settings = {**plan.settings.model_dump(), **dict(zip(settings_names, values[len(names):]))}
+            variants = [(combo, combo == "1")] + ([("1", True)] if plan.include_baseline and combo != "1" else [])
+            for combo_value, baseline in variants:
+                candidate_id = f"super-{index + 1}{'-baseline' if baseline else ''}"
+                c = Candidate(client_item_id=candidate_id, alpha_type="SUPER", selection=selection,
+                              combo=combo_value, settings=settings)
+                h = fingerprint(c.platform_input())
+                annotations[candidate_id] = {"baseline": baseline, "parameters": bindings,
+                    "duplicate_of": seen.get(h), "request_hash": h}
+                seen.setdefault(h, candidate_id)
+                candidates.append(c.model_dump(mode="json"))
+        if len(candidates) > 10000:
+            raise HTTPException(422, "包含基线后超过 10000 项，请缩小候选数")
+        plan_reference = {"id": asset["id"], "version": asset["version"]} if asset else {}
+        source = Source(kind="superalpha", research_kind="superalpha", reference=plan.reference, hypothesis=plan.hypothesis,
+            superalpha_plan_id=args.plan_id, superalpha_plan_version=args.version,
+            selection_snapshot_ids=args.selection_snapshot_ids).model_dump(mode="json")
+        await validate_source(self.db, source, candidates)
+        experiment = ResearchExperiment(id=str(uuid4()), name=plan.name, kind="superalpha", hypothesis=plan.hypothesis,
+            inputs=[], parents=[], candidates=candidates, evidence={"plan": plan.model_dump(mode="json"),
+                "plan_reference": plan_reference, "provenance": provenance, "source": source,
+                "selection_snapshot_ids": args.selection_snapshot_ids, "annotations": annotations,
+                "combination_count": str(count), "mode": args.mode, "seed": args.seed})
+        self.db.add(experiment)
+        await self.db.flush()
+        result = await self.experiment(experiment.id)
+        return await self.remember("build_superalpha_candidates", args, digest, result, experiment.id)
+
+    async def experiment(self, experiment_id, limit=100, offset=0):
+        row = await self.db.get(ResearchExperiment, experiment_id)
+        if not row or row.kind != "superalpha":
+            raise HTTPException(404, "SUPER 研究记录不存在")
+        source = {**row.evidence["source"], "research_id": row.id}
+        visible = row.candidates[offset:offset + limit]
+        evidence = {**row.evidence, "annotations": {c["client_item_id"]: row.evidence["annotations"].get(c["client_item_id"], {}) for c in visible}}
+        return encode_snapshot({"id": row.id, "name": row.name, "kind": row.kind, "hypothesis": row.hypothesis,
+            "created_at": row.created_at, "evidence": evidence, "source": source,
+            "candidates": row.candidates[offset:offset + limit], "total": len(row.candidates),
+            "limit": limit, "offset": offset, "has_more": offset + limit < len(row.candidates)})
+
+    async def experiments(self, plan_id=None, limit=25, offset=0):
+        query = select(ResearchExperiment).where(ResearchExperiment.kind == "superalpha")
+        if plan_id:
+            query = query.where(ResearchExperiment.evidence["plan_reference"]["id"].as_string() == plan_id)
+        total = await self.db.scalar(select(func.count()).select_from(query.subquery()))
+        rows = await self.db.scalars(query.order_by(ResearchExperiment.created_at.desc(), ResearchExperiment.id).limit(limit).offset(offset))
+        return encode_snapshot({"items": [{"id": r.id, "name": r.name, "created_at": r.created_at,
+            "total": len(r.candidates)} for r in rows], "total": total, "limit": limit, "offset": offset})
+
+    async def preview(self, experiment_id, candidate_ids):
+        row = await self.db.get(ResearchExperiment, experiment_id)
+        await self.experiment(experiment_id)
+        selected = [c for c in row.candidates if c["client_item_id"] in set(candidate_ids)]
+        if len(selected) != len(set(candidate_ids)):
+            raise HTTPException(422, "候选不属于当前研究记录")
+        return await Backtests(self.db).preview(PreviewInput(inline=DraftInput(name=row.name,
+            candidates=selected, source={**row.evidence["source"], "research_id": row.id})), preserve_source=True)
+
+    async def selection_job(self, args):
+        if bool(args.plan_id) != bool(args.version):
+            raise HTTPException(422, "预览的方案来源需同时指定 ID 和版本")
+        if args.plan_id:
+            await self.assets.get(args.plan_id, args.version, "superalpha_plan")
+        await validate_settings(self.db, [args.settings])
+        account = await self.db.scalar(select(Account).where(Account.id == 1).with_for_update())
+        if not account or account.connection_status not in ("connected", "expired"):
+            raise HTTPException(409, "请先连接 WorldQuant")
+        payload = args.model_dump(mode="json")
+        jobs = await self.db.scalars(select(Job).where(Job.kind == "super_selection_preview",
+            Job.status.in_(("queued", "running", "waiting_auth", "waiting_connection"))))
+        job = next((j for j in jobs if j.payload == payload and not j.cancel_requested), None)
+        if not job:
+            job = Job(id=str(uuid4()), kind="super_selection_preview", payload=payload, total=1)
+            self.db.add(job)
+            await self.db.flush()
+        return {"job_id": job.id, "status": job.status, "read_with": "get_superalpha_selection"}
+
+    async def alpha(self, alpha_id, limit=25, offset=0):
+        from ..business import Business
+        from ..models import BacktestItem, BacktestResult
+        alpha = await self.db.get(Alpha, alpha_id)
+        if not alpha or alpha.alpha_type != "SUPER":
+            raise HTTPException(404, "SUPER Alpha 尚未导入")
+        item = await self.db.scalar(select(BacktestItem).join(BacktestResult, BacktestResult.item_id == BacktestItem.id)
+            .where(BacktestItem.alpha_id == alpha_id).order_by(BacktestResult.observed_at.desc()).limit(1))
+        components = await actual_components(self.db, item.id, limit, offset) if item else {
+            "status": "unknown", "complete": False, "source": "actual", "items": [], "total": 0}
+        if not item:
+            parsed = parse_components(alpha.raw.get("components", alpha.raw.get("selectedAlphas")))
+            components = {"source": "actual", "status": "available" if parsed["complete"] else "unknown",
+                "complete": parsed["complete"], "component_hash": parsed["component_hash"],
+                "reported_total": parsed["total"], "total": len(parsed["components"]), "warnings": parsed["warnings"],
+                "observed_at": alpha.synced_at, "items": parsed["components"][offset:offset + limit], "limit": limit, "offset": offset}
+        return {**await Business(self.db).get_alpha(alpha_id), "components": components,
+            "descriptions": {k: (alpha.raw.get(k) or {}).get("description", "")
+                if isinstance(alpha.raw.get(k), dict) else "" for k in ("selection", "combo")},
+            "sources": await Business(self.db).get_alpha_sources(alpha_id)}

backend/app/superalpha/settings.py

@@ -0,0 +1,45 @@
+"""Cached platform constraints shared by SUPER authoring and generic execution."""
+
+from fastapi import HTTPException
+
+from ..catalog.research_metadata import ResearchMetadata
+
+
+async def validate_settings(db, values):
+    """Reject known unsupported values; absent metadata is explicitly unknown, never approved."""
+    snapshot = await ResearchMetadata(db).get("settings")
+    rows = snapshot["content"].get("items", [])
+    if not snapshot["fetched_at"] or not rows:
+        return {"status": "unknown", "reason": "未缓存平台设置"}
+    incomplete = False
+    for settings in values:
+        value = settings.model_dump() if hasattr(settings, "model_dump") else settings
+        matches = [r for r in rows if all(r.get(k) == value.get(v) for k, v in (
+            ("instrument_type", "instrumentType"), ("region", "region"), ("universe", "universe"), ("delay", "delay")))]
+        if not matches:
+            raise HTTPException(422, "平台设置快照不支持当前 SUPER 地区 / Universe / Delay 组合")
+        failures = []
+        valid = False
+        for row in matches:
+            failed = []
+            if row.get("neutralizations") and value["neutralization"] not in row["neutralizations"]:
+                failed.append("neutralization")
+            for key, field in row.get("fields", {}).items():
+                if key not in value:
+                    continue
+                current = value[key]
+                if "choices" in field and current not in field["choices"]:
+                    failed.append(key)
+                if type(current) in (int, float) and (
+                    ("minimum" in field and current < field["minimum"]) or
+                    ("maximum" in field and current > field["maximum"])):
+                    failed.append(key)
+            if not failed:
+                valid = True
+                incomplete |= any(not row.get("fields", {}).get(key) for key in ("selectionLimit", "selectionHandling", "componentActivation"))
+                break
+            failures.extend(failed)
+        if not valid:
+            raise HTTPException(422, "平台设置快照不支持 SUPER 参数：" + "、".join(sorted(set(failures))))
+    return {"status": "partial" if incomplete else "cached", "fetched_at": snapshot["fetched_at"],
+            "reason": "部分 SUPER 设置范围未提供" if incomplete else "仅按缓存校验，仍需平台执行验证"}

backend/app/worldquant.py

@@ -468,6 +468,14 @@ class WqClient:
             "universe": scope.universe, "delay": scope.delay,
         })
 
+    async def run_super_selection(self, query):
+        """Read cnhk super-selection contract with bounded async retries and shared authentication."""
+        allowed = {"selection", "instrumentType", "region", "delay", "selectionLimit", "selectionHandling"}
+        if set(query) != allowed:
+            raise WqError("Selection 参数不完整或包含未知键", "invalid_selection")
+        return await self._read_json("GET", "/simulations/super-selection", params=query, allow_list=True,
+                                     wait_for_retry_header=True)
+
     async def research_setting_options(self):
         """Snapshot full setting choices for constrained research, including neutralization."""
         return await self._read_json("OPTIONS", "/simulations")

backend/migrations/versions/0017_remove_message_cache.py

@@ -0,0 +1,18 @@
+"""Remove persisted announcement sources and interpretations; use memory only."""
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0017"
+down_revision = "0016"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    cache = sa.table("home_information", sa.column("resource", sa.String()))
+    op.execute(cache.delete().where(cache.c.resource.like("messages:%")))
+
+
+def downgrade():
+    # Platform cache is reproducible; deleted text and interpretations are not restored.
+    pass

backend/migrations/versions/0018_submission_limit_classification.py

@@ -0,0 +1,55 @@
+"""Reclassify cached Alpha checks without changing upstream evidence."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0018"
+down_revision = "0017"
+branch_labels = None
+depends_on = None
+
+
+def check_type(checks, separate_limits):
+    """Frozen classification for reversible data migration; never import mutable app code."""
+    checks = checks if isinstance(checks, list) else []
+    if separate_limits:
+        checks = [c for c in checks if not (isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION")]
+    valid = [c for c in checks if isinstance(c, dict)]
+    failures = sum(c.get("result") == "FAIL" for c in valid)
+    if failures:
+        return "FAIL_1" if failures == 1 else "FAIL_2"
+    if not checks or len(valid) != len(checks) or any(c.get("result") != "PASS" for c in valid):
+        return "PENDING"
+    return "PASS" if any(c.get("name") == "PROD_CORRELATION" for c in valid) else "PRE_CHECK"
+
+
+def reclassify(separate_limits):
+    """Update only affected derived columns, in bounded batches; raw snapshots stay intact."""
+    table = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
+                     sa.column("check_type", sa.String()))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(table.c.id, table.c.checks).order_by(table.c.id).limit(500)
+        if last_id is not None:
+            query = query.where(table.c.id > last_id)
+        rows = connection.execute(query).mappings().all()
+        if not rows:
+            break
+        updates = [
+            {"snapshot_id": row["id"], "classification": check_type(row["checks"], separate_limits)}
+            for row in rows if isinstance(row["checks"], list) and any(
+                isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION" for c in row["checks"])
+        ]
+        if updates:
+            connection.execute(table.update().where(table.c.id == sa.bindparam("snapshot_id"))
+                               .values(check_type=sa.bindparam("classification")), updates)
+        last_id = rows[-1]["id"]
+
+
+def upgrade():
+    reclassify(True)
+
+
+def downgrade():
+    reclassify(False)

backend/migrations/versions/0019_check_stages.py

@@ -0,0 +1,91 @@
+"""Restore stage-based check classification, preserving raw platform snapshots."""
+
+from datetime import datetime, timezone
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0019"
+down_revision = "0018"
+branch_labels = None
+depends_on = None
+
+
+def timestamp(value):
+    """Read historical timestamps; missing or invalid evidence cannot prove a /check."""
+    try:
+        value = datetime.fromisoformat(value) if isinstance(value, str) else value
+        return value.replace(tzinfo=timezone.utc) if value.tzinfo is None else value
+    except (ValueError, TypeError, AttributeError):
+        return None
+
+
+def classify(checks, checked, legacy):
+    """Frozen migration rules; legacy means the pre-0019 correlation-presence rule."""
+    checks = checks if isinstance(checks, list) else []
+    checks = [c for c in checks if not (isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION")]
+    valid = [c for c in checks if isinstance(c, dict)]
+    results = [c.get("result") for c in valid]
+    if not legacy:
+        results = [v.upper() if isinstance(v, str) else None for v in results]
+    failures = sum(v == "FAIL" for v in results)
+    if failures:
+        return "FAIL_1" if failures == 1 else "FAIL_2"
+    allowed = ("PASS",) if legacy else ("PASS", "PENDING", "WARNING")
+    if not checks or len(valid) != len(checks) or any(v not in allowed for v in results):
+        return "PENDING"
+    passed = any(c.get("name") == "PROD_CORRELATION" for c in valid) if legacy else checked
+    return "PASS" if passed else "PRE_CHECK"
+
+
+def reclassify(legacy=False):
+    """Recompute in batches; only a check checkpoint newer than the sync proves its stage.
+
+    A prior PASS is not evidence because the old rule inferred it from a check name.
+    A subsequent sync replaces the snapshot and is classified as pre-check again.
+    """
+    alphas = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
+                      sa.column("synced_at", sa.DateTime(timezone=True)), sa.column("check_type", sa.String()))
+    jobs = sa.table("sync_jobs", sa.column("kind", sa.String()), sa.column("payload", sa.JSON()),
+                    sa.column("checkpoint", sa.JSON()))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(alphas.c.id, alphas.c.checks, alphas.c.synced_at).order_by(alphas.c.id).limit(500)
+        if last_id is not None:
+            query = query.where(alphas.c.id > last_id)
+        rows = connection.execute(query).mappings().all()
+        if not rows:
+            break
+        checked_at = {}
+        if not legacy:
+            observations = connection.execute(sa.select(jobs.c.checkpoint).where(
+                jobs.c.kind == "submission_check",
+                jobs.c.payload["alpha_ids"][0].as_string().in_([r["id"] for r in rows]),
+            )).scalars()
+            for checkpoint in observations:
+                if not isinstance(checkpoint, dict) or checkpoint.get("phase") != "checked":
+                    continue
+                alpha_id = checkpoint.get("alpha_id")
+                observed = timestamp(checkpoint.get("checked_at"))
+                if isinstance(alpha_id, str) and observed and (
+                    alpha_id not in checked_at or observed > checked_at[alpha_id]
+                ):
+                    checked_at[alpha_id] = observed
+        updates = []
+        for row in rows:
+            synced = timestamp(row["synced_at"])
+            observed = checked_at.get(row["id"])
+            updates.append({"snapshot_id": row["id"], "classification": classify(
+                row["checks"], bool(synced and observed and observed > synced), legacy)})
+        connection.execute(alphas.update().where(alphas.c.id == sa.bindparam("snapshot_id"))
+                           .values(check_type=sa.bindparam("classification")), updates)
+        last_id = rows[-1]["id"]
+
+
+def upgrade():
+    reclassify()
+
+
+def downgrade():
+    reclassify(legacy=True)

backend/migrations/versions/0020_submission_blocked.py

@@ -0,0 +1,38 @@
+"""Index the cached submission limit independently of Alpha quality checks."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0020"
+down_revision = "0019"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    op.add_column("alphas", sa.Column("submission_blocked", sa.Boolean(), nullable=False, server_default=sa.false()))
+    table = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
+                     sa.column("submission_blocked", sa.Boolean()))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(table.c.id, table.c.checks).order_by(table.c.id).limit(500)
+        if last_id is not None:
+            query = query.where(table.c.id > last_id)
+        rows = connection.execute(query).mappings().all()
+        if not rows:
+            break
+        # Frozen snapshot interpretation; never depend on future application code.
+        blocked = [row["id"] for row in rows if isinstance(row["checks"], list) and any(
+            isinstance(check, dict) and check.get("name") == "REGULAR_SUBMISSION"
+            and isinstance(check.get("result"), str) and check["result"].upper() == "FAIL"
+            for check in row["checks"])]
+        if blocked:
+            connection.execute(table.update().where(table.c.id.in_(blocked)).values(submission_blocked=True))
+        last_id = rows[-1]["id"]
+    op.create_index("ix_alphas_submission_blocked", "alphas", ["submission_blocked"])
+
+
+def downgrade():
+    op.drop_index("ix_alphas_submission_blocked", table_name="alphas")
+    op.drop_column("alphas", "submission_blocked")

backend/migrations/versions/0021_superalpha.py

@@ -0,0 +1,39 @@
+"""SUPER candidates and immutable component evidence; retain all existing Alpha rows."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0021"
+down_revision = "0020"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    op.add_column("backtest_items", sa.Column("alpha_type", sa.String(20), nullable=False, server_default="REGULAR"))
+    op.add_column("backtest_items", sa.Column("selection", sa.Text(), nullable=True))
+    op.add_column("backtest_items", sa.Column("combo", sa.Text(), nullable=True))
+    op.create_index("ix_backtest_items_alpha_type", "backtest_items", ["alpha_type"])
+    op.create_table("super_selection_snapshots",
+        sa.Column("id", sa.String(36), primary_key=True),
+        sa.Column("job_id", sa.String(36), sa.ForeignKey("sync_jobs.id"), unique=True),
+        sa.Column("item_id", sa.String(36), sa.ForeignKey("backtest_items.id"), unique=True),
+        sa.Column("source", sa.String(20), nullable=False),
+        sa.Column("request", sa.JSON(), nullable=False),
+        sa.Column("request_hash", sa.String(64), nullable=False),
+        sa.Column("component_hash", sa.String(64)),
+        sa.Column("components", sa.JSON(), nullable=False),
+        sa.Column("raw", sa.JSON(), nullable=False),
+        sa.Column("complete", sa.Boolean(), nullable=False),
+        sa.Column("total", sa.Integer()),
+        sa.Column("warnings", sa.JSON(), nullable=False),
+        sa.Column("observed_at", sa.DateTime(timezone=True), nullable=False))
+    for key in ("request_hash", "component_hash"):
+        op.create_index(f"ix_super_selection_snapshots_{key}", "super_selection_snapshots", [key])
+
+
+def downgrade():
+    op.drop_table("super_selection_snapshots")
+    op.drop_index("ix_backtest_items_alpha_type", table_name="backtest_items")
+    for key in ("combo", "selection", "alpha_type"):
+        op.drop_column("backtest_items", key)

backend/migrations/versions/0022_ppac_candidate.py

@@ -0,0 +1,41 @@
+"""Classify snapshots whose sole Alpha failure is the unopened PPAC theme."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0022"
+down_revision = "0021"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # Reuse the indexed check_type column; preserve all raw evidence and check stages.
+    table = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
+                     sa.column("check_type", sa.String(20)))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(table.c.id, table.c.checks).order_by(table.c.id).limit(500)
+        if last_id is not None:
+            query = query.where(table.c.id > last_id)
+        rows = connection.execute(query).mappings().all()
+        if not rows:
+            break
+        candidates = []
+        for row in rows:
+            # Freeze the current interpretation instead of importing application code.
+            checks = row["checks"] if isinstance(row["checks"], list) else []
+            failures = [check for check in checks if isinstance(check, dict)
+                        and check.get("name") != "REGULAR_SUBMISSION"
+                        and isinstance(check.get("result"), str) and check["result"].upper() == "FAIL"]
+            if len(failures) == 1 and failures[0].get("name") == "PURE_POWER_POOL_THEME":
+                candidates.append(row["id"])
+        if candidates:
+            connection.execute(table.update().where(table.c.id.in_(candidates)).values(check_type="PPAC_CANDIDATE"))
+        last_id = rows[-1]["id"]
+
+
+def downgrade():
+    table = sa.table("alphas", sa.column("check_type", sa.String(20)))
+    op.execute(table.update().where(table.c.check_type == "PPAC_CANDIDATE").values(check_type="FAIL_1"))

backend/migrations/versions/0023_remove_template_scope.py

@@ -0,0 +1,80 @@
+"""Remove retired template scope metadata without changing execution scopes."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0023"
+down_revision = "0022"
+branch_labels = None
+depends_on = None
+
+# Only structured research documents carry reusable template definitions. Do not
+# rewrite opaque model messages, audit digests, or already-authorized tool calls.
+DOCUMENTS = (
+    ("research_revisions", ("asset_id", "version"), ("content", "provenance")),
+    ("research_experiments", ("id",), ("evidence", "parents")),
+    ("research_flow_runs", ("id",), ("definition", "authorization")),
+    ("research_step_runs", ("id",), ("output",)),
+    ("research_requests", ("id",), ("response",)),
+)
+
+
+def remove_template_scope(value):
+    """Copy structured templates without scope; preserve input scopes and bindings.
+
+    Match the frozen persisted TemplateSpec shape, including nested feature
+    templates and asset snapshots. Never remove an arbitrary key named scope:
+    input snapshots and scope-named expression variables still require it.
+    """
+    if isinstance(value, list):
+        return [remove_template_scope(item) for item in value]
+    if not isinstance(value, dict):
+        return value
+    is_template = (
+        isinstance(value.get("name"), str)
+        and isinstance(value.get("expression"), str)
+        and isinstance(value.get("variables"), dict)
+    )
+    return {
+        key: remove_template_scope(item)
+        for key, item in value.items()
+        if not (is_template and key == "scope")
+    }
+
+
+def upgrade():
+    """Clean template documents in bounded batches, retaining IDs and versions."""
+    connection = op.get_bind()
+    for name, keys, documents in DOCUMENTS:
+        table = sa.table(name, *(
+            [sa.column(key, sa.Integer() if key == "version" else sa.String()) for key in keys]
+            + [sa.column(column, sa.JSON()) for column in documents]
+        ))
+        last = None
+        while True:
+            query = sa.select(table).order_by(*(table.c[key] for key in keys)).limit(500)
+            if last is not None:
+                query = query.where(sa.or_(*(
+                    sa.and_(*(table.c[keys[j]] == last[j] for j in range(i)), table.c[key] > last[i])
+                    for i, key in enumerate(keys)
+                )))
+            rows = connection.execute(query).mappings().all()
+            if not rows:
+                break
+            for row in rows:
+                changes = {}
+                for column in documents:
+                    cleaned = remove_template_scope(row[column])
+                    if cleaned != row[column]:
+                        changes[column] = cleaned
+                if changes:
+                    connection.execute(table.update().where(
+                        *(table.c[key] == row[key] for key in keys)
+                    ).values(**changes))
+            last = tuple(rows[-1][key] for key in keys)
+
+
+def downgrade():
+    # Previous schemas allow absent template scope; deleted metadata cannot be
+    # reconstructed. Execution scopes and all other research data are unchanged.
+    pass

backend/tests/backtest_fake.py

@@ -16,10 +16,16 @@ class Platform:
         self.detail_fail = False
         self.fail_child = None
         self.missing = False
+        self.selection_reads = []
+        self.selection_result = {"count": 2, "results": [{"id": "component1", "value": 0.3}, {"id": "component2", "value": 0.7}]}
+        self.actual_components = {"count": 2, "results": [{"id": "component1"}, {"id": "component2"}]}
         self.secret = "synthetic-platform-secret"
 
     def __call__(self, request):
         path = request.url.path
+        if path == "/simulations/super-selection":
+            self.selection_reads.append(dict(request.url.params))
+            return httpx.Response(200, json=self.selection_result)
         if path == "/authentication":
             return httpx.Response(201, json={})
         if path == "/simulations" and request.method == "POST":
@@ -39,29 +45,35 @@ class Platform:
             ids = []
             for i, item in enumerate(data):
                 child = parent if len(data) == 1 else f"{parent}c{i}"
-                aid = self.existing_alpha_ids[i] if self.existing_alpha_ids else f"alpha{parent}{i}"
+                aid = self.existing_alpha_ids[i] if self.existing_alpha_ids and item["type"] != "SUPER" else f"alpha{parent}{i}"
                 progress = {
                     "status": "COMPLETE",
                     "alpha": aid,
-                    "regular": item["regular"],
+                    "regular": item.get("regular", ""),
                     "settings": item["settings"],
                 }
                 if i == self.fail_child:
                     progress = {
                         "status": "FAILED",
-                        "regular": item["regular"],
+                        "regular": item.get("regular", ""),
                         "settings": item["settings"],
                         "message": "invalid expression",
                     }
                 self.simulations[child] = progress
                 self.alphas[aid] = {
                     "id": aid,
-                    "regular": {"code": item["regular"]},
+                    "regular": {"code": item.get("regular", "")},
                     "type": "REGULAR",
                     "settings": item["settings"],
                     "is": {"sharpe": None, "fitness": 0.8},
                     "status": "UNSUBMITTED",
                 }
+                if item["type"] == "SUPER":
+                    assert len(data) == 1, "SUPER must be submitted singly"
+                    self.simulations[child].update(type="SUPER", selection=item["selection"], combo=item["combo"])
+                    self.simulations[child].pop("regular", None)
+                    self.alphas[aid].update(type="SUPER", selection={"code": item["selection"], "description": "Selection rationale"}, combo={"code": item["combo"], "description": "Combo rationale"}, components=self.actual_components)
+                    self.alphas[aid].pop("regular", None)
                 ids.append(child)
             if len(data) > 1:
                 self.simulations[parent] = {

backend/tests/superalpha_postgres.py

@@ -0,0 +1,74 @@
+"""Disposable PostgreSQL compatibility/concurrency acceptance, no external platform calls.
+
+SUPER_TEST_DATABASE_URL must point to the local wq_superalpha_test database.
+"""
+import asyncio
+import os
+from urllib.parse import urlsplit
+
+import httpx
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+from sqlalchemy import select
+
+from app.alphas import upsert_alpha
+from app.config import Settings
+from app.main import create_app
+from app.models import BacktestItem, Research
+from app.superalpha.contracts import PlanSave
+from app.superalpha.service import SuperResearch
+from app.worldquant import WqClient
+from tests.backtest_fake import Platform
+from tests.test_backtests import execute, preview, setup, start
+from tests.test_superalpha import plan, test_plan_selection_build_versions_and_generic_run
+
+
+async def seed(settings):
+    app = create_app(settings, WqClient(settings, transport=httpx.MockTransport(Platform())))
+    async with app.router.lifespan_context(app):
+        _, lane = await setup(app)
+        async with app.state.sessions.begin() as db:
+            await upsert_alpha(db, {"id": "legacy-super", "type": "SUPER", "selection": {"code": "turnover < 0.2"}, "combo": {"code": "1"}})
+            (await db.get(Research, "legacy-super")).note = "keep historical note"
+        async with httpx.AsyncClient(transport=httpx.ASGITransport(app=app), base_url="http://testserver", headers={"X-WQ-Request": "1"}) as client:
+            await client.post("/api/v1/auth/login", json={"username": "admin", "password": "synthetic-admin-only"})
+            run = await start(client, await preview(client), "legacy")
+            await execute(app, lane, run["backtest_run_id"])
+
+
+async def verify(settings):
+    app = create_app(settings, WqClient(settings, transport=httpx.MockTransport(Platform())))
+    async with app.router.lifespan_context(app):
+        async with app.state.sessions() as db:
+            assert (await db.get(Research, "legacy-super")).note == "keep historical note"
+            item = await db.scalar(select(BacktestItem))
+            assert item.alpha_type == "REGULAR" and item.selection is None and item.combo is None
+            assert item.persistence_status == "saved"
+        async with httpx.AsyncClient(transport=httpx.ASGITransport(app=app), base_url="http://testserver", headers={"X-WQ-Request": "1"}) as client:
+            await client.post("/api/v1/auth/login", json={"username": "admin", "password": "synthetic-admin-only"})
+            await test_plan_selection_build_versions_and_generic_run(app, client)
+            imported = (await client.get("/api/v1/alphas?management_scope=super&q=legacy-super")).json()
+            assert imported["total"] == 1
+        async def save_same():
+            async with app.state.sessions.begin() as db:
+                return await SuperResearch(db).save(PlanSave(plan=plan(), idempotency_key="concurrent-save"))
+        first, second = await asyncio.gather(save_same(), save_same())
+        assert first == second
+    print("PostgreSQL: preserved REGULAR backtest and existing SUPER/notes; SUPER lifecycle and concurrent save replay passed")
+
+
+if __name__ == "__main__":
+    url = os.environ["SUPER_TEST_DATABASE_URL"]
+    parsed = urlsplit(url)
+    if parsed.hostname not in {"127.0.0.1", "localhost"} or parsed.path != "/wq_superalpha_test":
+        raise SystemExit("Refusing non-local/non-disposable database")
+    key = Fernet.generate_key().decode()
+    os.environ.update(DATABASE_URL=url, ADMIN_PASSWORD="synthetic-admin-only", ENCRYPTION_KEY=key, WQ_EMAIL="", WQ_PASSWORD="")
+    settings = Settings(_env_file=None, database_url=url, admin_password="synthetic-admin-only", encryption_key=key, enable_runner=False, public_origin="http://testserver")
+    config = Config("alembic.ini")
+    command.upgrade(config, "head")
+    asyncio.run(seed(settings))
+    command.downgrade(config, "0020")
+    command.upgrade(config, "head")
+    asyncio.run(verify(settings))

backend/tests/test_alpha_list_fields.py

@@ -37,10 +37,10 @@ def checks(failures):
         (None, "PENDING"),
         ([None], "PENDING"),
         ([{}], "PENDING"),
-        ([{"name": "LOW_SHARPE", "result": "WARNING"}], "PENDING"),
+        ([{"name": "LOW_SHARPE", "result": "WARNING"}], "PRE_CHECK"),
         ([{"name": "LOW_SHARPE", "result": "PASS"}], "PRE_CHECK"),
-        ([{"name": "PROD_CORRELATION", "result": "PENDING"}], "PENDING"),
-        (checks(0), "PASS"),
+        ([{"name": "PROD_CORRELATION", "result": "PENDING"}], "PRE_CHECK"),
+        (checks(0), "PRE_CHECK"),
         (checks(1), "FAIL_1"),
         (checks(2), "FAIL_2"),
         (checks(3), "FAIL_2"),
@@ -58,7 +58,7 @@ async def test_checks_filter_before_pagination_and_share_export_scope(app, logge
     for check_type, expected in [
         ("FAIL_1", ["failed1"]),
         ("FAIL_2", ["failed2", "failed3"]),
-        ("PASS", ["failed0"]),
+        ("PRE_CHECK", ["failed0"]),
         ("PENDING", ["unknown"]),
     ]:
         response = await logged_in.get(
@@ -218,7 +218,8 @@ def test_migration_backfills_multiple_batches_and_preserves_research(tmp_path, m
             rows = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
             assert len(rows) == 503
             for i, row in enumerate(rows):
-                expected = snapshot_columns(row["settings"], row["is_metrics"], checks(i % 4))
+                expected = snapshot_columns(row["settings"], row["is_metrics"], checks(i % 4), checked=True)
+                expected.pop("submission_blocked")  # Added after this historical migration.
                 assert {key: row[key] for key in expected} == expected
             record = db.execute(sa.select(research)).mappings().one()
             assert record["tags"] == ["PPAC"] and record["note"] == "keep" and record["version"] == 7

backend/tests/test_backtest_list_sort.py

@@ -0,0 +1,40 @@
+"""List filtering and ordering happen before pagination, without platform execution."""
+
+from tests.test_backtests import PREFIX, candidate, setup, start
+
+
+async def test_list_sorting(app, logged_in):
+    await setup(app)
+    for name in ["sort-C", "sort-A", "sort-B", "unrelated"]:
+        body = {"name": name, "source": {"kind": "test"}, "candidates": [candidate()]}
+        assert (await logged_in.post(f"{PREFIX}/drafts", json=body)).status_code == 201
+        preview = await logged_in.post(f"{PREFIX}/previews", json={"inline": body})
+        assert preview.status_code == 201
+        await start(logged_in, preview.json(), key=name)
+    for path in ["runs", "drafts"]:
+        for direction, expected in [
+            ("asc", ["sort-A", "sort-B", "sort-C"]),
+            ("desc", ["sort-C", "sort-B", "sort-A"]),
+        ]:
+            names = []
+            for offset in range(3):
+                r = await logged_in.get(
+                    f"{PREFIX}/{path}",
+                    params={
+                        "q": "sort-",
+                        "sort": "name",
+                        "direction": direction,
+                        "limit": 1,
+                        "offset": offset,
+                    },
+                )
+                assert r.status_code == 200
+                assert r.json()["total"] == 3
+                names.append(r.json()["items"][0]["name"])
+            assert names == expected
+        for params in [{"sort": "unknown"}, {"direction": "unknown"}]:
+            assert (await logged_in.get(f"{PREFIX}/{path}", params=params)).status_code == 422
+        assert (await logged_in.get(f"{PREFIX}/{path}", params={"q": "%"})).json()["total"] == 0
+    assert (await logged_in.get(f"{PREFIX}/runs", params={"q": "sort-", "source": "missing"})).json()[
+        "total"
+    ] == 0

backend/tests/test_check_stage_migration.py

@@ -0,0 +1,74 @@
+"""Historical stage recovery requires a persisted /check newer than the latest sync."""
+
+from datetime import datetime, timezone
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+
+
+def test_stage_backfill_preserves_evidence_and_uses_checkpoints(tmp_path, monkeypatch):
+    path = tmp_path / "stages.db"
+    monkeypatch.setenv("DATABASE_URL", f"sqlite+aiosqlite:///{path}")
+    monkeypatch.setenv("ADMIN_PASSWORD", "migration-test-only")
+    monkeypatch.setenv("ENCRYPTION_KEY", Fernet.generate_key().decode())
+    monkeypatch.setenv("WQ_EMAIL", "")
+    monkeypatch.setenv("WQ_PASSWORD", "")
+    root = Path(__file__).resolve().parents[1]
+    config = Config(str(root / "alembic.ini"))
+    config.set_main_option("script_location", str(root / "migrations"))
+    command.upgrade(config, "0018")
+    engine = sa.create_engine(f"sqlite:///{path}")
+    alphas = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+    jobs = sa.Table("sync_jobs", sa.MetaData(), autoload_with=engine)
+    synced = datetime(2026, 9, 12, 0, tzinfo=timezone.utc)
+    pending = [{"name": "PROD_CORRELATION", "result": "PENDING"},
+               {"name": "REGULAR_SUBMISSION", "result": "FAIL"}]
+    passed = [{"name": "PROD_CORRELATION", "result": "PASS"}]
+    patterns = [
+        (pending, "PENDING", "PRE_CHECK", None),
+        (pending, "PENDING", "PASS", {"phase": "checked", "checked_at": "2026-09-12T01:00:00+00:00"}),
+        (pending, "PENDING", "PRE_CHECK", {"phase": "checked", "checked_at": "2026-09-11T23:00:00+00:00"}),
+        (pending, "PENDING", "PRE_CHECK", {"phase": "check"}),
+        (passed, "PASS", "PRE_CHECK", None),
+        ([{"name": "LOW_SHARPE", "result": "FAIL"}], "FAIL_1", "FAIL_1", None),
+        ([{}], "PENDING", "PENDING", {"phase": "checked", "checked_at": "2026-09-12T01:00:00Z"}),
+    ]
+    with engine.begin() as db:
+        db.execute(alphas.insert(), [
+            {"id": f"stage{i:04}", "hidden": False, "settings": {}, "os_metrics": {},
+             "is_metrics": {"checks": patterns[i % 7][0]}, "checks": patterns[i % 7][0],
+             "check_type": patterns[i % 7][1], "synced_at": synced,
+             "raw": {"is": {"checks": patterns[i % 7][0]}}}
+            for i in range(503)
+        ])
+        db.execute(jobs.insert(), [
+            {"id": f"job{i}", "kind": "submission_check", "status": "completed",
+             "payload": {"alpha_ids": [f"stage{i:04}"]},
+             "checkpoint": {**patterns[i % 7][3], "alpha_id": f"stage{i:04}"},
+             "processed": 1, "failed": 0, "total": 1, "cancel_requested": False,
+             "created_at": synced, "updated_at": synced}
+            for i in range(503) if patterns[i % 7][3]
+        ])
+    for target, expected_index in [("0019", 2), ("0018", 1), ("0019", 2)]:
+        (command.upgrade if target == "0019" else command.downgrade)(config, target)
+        with engine.connect() as db:
+            rows = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
+            assert len(rows) == 503
+            for i, row in enumerate(rows):
+                assert row["check_type"] == patterns[i % 7][expected_index]
+                assert row["checks"] == row["raw"]["is"]["checks"] == row["is_metrics"]["checks"] == patterns[i % 7][0]
+    command.upgrade(config, "head")
+    current = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+    with engine.connect() as db:
+        rows = db.execute(sa.select(current).order_by(current.c.id)).mappings().all()
+        for i, row in enumerate(rows):
+            assert row["submission_blocked"] is (i % 7 < 4)
+            assert row["checks"] == patterns[i % 7][0]
+    command.downgrade(config, "0019")
+    assert "submission_blocked" not in {c["name"] for c in sa.inspect(engine).get_columns("alphas")}
+    command.upgrade(config, "head")
+    command.check(config)
+    engine.dispose()

backend/tests/test_check_stages.py

@@ -0,0 +1,56 @@
+"""The same checks have different meanings at sync and explicit /check stages."""
+
+import pytest
+
+from app.alphas import snapshot_columns
+
+
+@pytest.mark.parametrize("checks", [
+    [{"name": "LOW_SHARPE", "result": "PASS"}],
+    [{"name": "PROD_CORRELATION", "result": "PASS"}],
+    [{"name": "PROD_CORRELATION", "result": "PENDING"}],
+    [{"name": "MATCHES_THEMES", "result": "WARNING"}],
+])
+def test_stage_not_correlation_presence_decides_pass(checks):
+    assert snapshot_columns({}, {}, checks)["check_type"] == "PRE_CHECK"
+    assert snapshot_columns({}, {}, checks, checked=True)["check_type"] == "PASS"
+
+
+@pytest.mark.parametrize("checked", [False, True])
+@pytest.mark.parametrize("checks,expected", [
+    ([], "PENDING"),
+    ([None], "PENDING"),
+    ([{}], "PENDING"),
+    ([{"name": "UNKNOWN", "result": "OTHER"}], "PENDING"),
+    ([{"name": "REGULAR_SUBMISSION", "result": "FAIL"}], "PENDING"),
+    ([{"name": "LOW_SHARPE", "result": "fail"}, {"name": "REGULAR_SUBMISSION", "result": "FAIL"}], "FAIL_1"),
+    ([{"name": "LOW_SHARPE", "result": "FAIL"}, {"name": "LOW_FITNESS", "result": "Fail"}], "FAIL_2"),
+])
+def test_stage_preserves_failures_and_missing_evidence(checked, checks, expected):
+    assert snapshot_columns({}, {}, checks, checked=checked)["check_type"] == expected
+
+
+async def test_sync_check_and_resync_use_distinct_stages(app, logged_in, monkeypatch):
+    from app.alphas import upsert_alpha
+    from tests import test_submission
+    from tests.conftest import alpha
+
+    checks = [{"name": "LOW_SHARPE", "result": "PASS"},
+              {"name": "PROD_CORRELATION", "result": "PENDING"},
+              {"name": "MATCHES_THEMES", "result": "WARNING"},
+              {"name": "REGULAR_SUBMISSION", "result": "FAIL"}]
+    monkeypatch.setattr(test_submission, "CHECKS", checks)
+    await test_submission.setup(app, alpha(**{"is": {"checks": checks}}))
+    endpoint = "/api/v1/alphas/alpha1/submission"
+    assert (await logged_in.get(endpoint)).json()["check_summary"]["check_type"] == "PRE_CHECK"
+    response = await test_submission.enqueue(logged_in)
+    assert response.status_code == 202
+    await app.state.runner.execute(response.json()["id"])
+    state = (await logged_in.get(endpoint)).json()
+    assert state["job"]["status"] == "completed"
+    assert state["check_summary"]["check_type"] == "PASS"
+    assert state["check_summary"]["submission_limits"]["status"] == "blocked"
+    assert (await logged_in.get("/api/v1/alphas/alpha1")).json()["check_type"] == "PASS"
+    async with app.state.sessions.begin() as db:
+        await upsert_alpha(db, alpha(**{"is": {"checks": checks}}))
+    assert (await logged_in.get(endpoint)).json()["check_summary"]["check_type"] == "PRE_CHECK"

backend/tests/test_correlation_recheck.py

@@ -0,0 +1,50 @@
+"""Full rechecks freeze all passing targets and overwrite existing correlation results."""
+
+import pytest
+
+from app.alphas import upsert_alpha
+from app.models import Alpha, SelfCorrelation
+from tests.conftest import alpha
+from tests.test_jobs import result
+
+
+async def test_recheck_all_passed_targets_deduplicates_and_repeats(app, logged_in):
+    runner = app.state.runner
+    async with runner.sessions.begin() as db:
+        for i in range(105):
+            row = await upsert_alpha(db, alpha(f"pass{i:03}"))
+            row.check_type = "PRE_CHECK" if i % 2 else "PASS"
+        for name, status in [("failed", "FAIL_1"), ("failed2", "FAIL_2"), ("pending", "PENDING")]:
+            row = await upsert_alpha(db, alpha(name))
+            row.check_type = status
+        db.add(SelfCorrelation(alpha_id="pass000", region="USA", stale=False,
+                               result={"status": "high", "max_correlation": 0.9}))
+    response = await logged_in.post("/api/v1/sync-jobs", json={"kind": "self_correlation_recheck"})
+    assert response.status_code == 202
+    job = response.json()
+    assert job["total"] == 105
+    assert job["payload"]["alpha_ids"] == [f"pass{i:03}" for i in range(105)]
+    duplicate = (await logged_in.post("/api/v1/sync-jobs", json={"kind": "self_correlation_recheck"})).json()
+    assert duplicate["id"] == job["id"]
+    await runner.execute(job["id"])
+    completed = await result(runner, job["id"])
+    assert completed.status == "completed" and completed.processed == 105
+    async with runner.sessions() as db:
+        for i in range(105):
+            cached = await db.get(SelfCorrelation, f"pass{i:03}")
+            assert cached.stale is False and cached.result["max_correlation"] == 0
+        assert await db.get(SelfCorrelation, "failed") is None
+        assert (await db.get(Alpha, "pass000")).check_type == "PASS"
+    again = (await logged_in.post("/api/v1/sync-jobs", json={"kind": "self_correlation_recheck"})).json()
+    assert again["id"] != job["id"] and again["total"] == 105
+
+
+async def test_empty_recheck_completes_without_platform_connection(logged_in):
+    response = await logged_in.post("/api/v1/sync-jobs", json={"kind": "self_correlation_recheck"})
+    assert response.status_code == 202
+    assert response.json()["total"] == 0 and response.json()["status"] == "completed"
+
+
+@pytest.mark.parametrize("extra", [{"alpha_ids": ["target"]}, {"submission": "UNSUBMITTED"}, {"date_from": "2026-01-01"}])
+async def test_recheck_rejects_partial_scope(logged_in, extra):
+    assert (await logged_in.post("/api/v1/sync-jobs", json={"kind": "self_correlation_recheck", **extra})).status_code == 422

backend/tests/test_home_information.py

@@ -35,6 +35,7 @@ async def setup(app, monkeypatch):
     async with app.state.sessions.begin() as db:
         account = await db.get(Account, 1)
         account.connection_status, account.wq_user_id = "connected", "TEST_USER"
+    monkeypatch.setattr(home, "now", lambda: datetime.fromisoformat("2026-09-12T12:00:00+00:00"))
     calls, state = [], {"rank": 25, "fail": set(), "agreement": "Participants must use GLOBAL region. Delay must be 1."}
 
     async def get(path, params=None, headers=None):
@@ -43,7 +44,7 @@ async def setup(app, monkeypatch):
             raise WqError("资源暂不可用")
         if path == "/users/self/messages":
             offset = params["offset"]
-            return page([{"id": f"msg{offset}", "title": "Update", "description": "<p>News</p><script>secret()</script><a href='javascript:alert(1)'>bad</a>", "dateCreated": "2026-09-11T12:00:00-04:00"}],
+            return page([{"id": f"msg{i}", "title": "Update", "description": "<p>News</p><script>secret()</script><a href='javascript:alert(1)'>bad</a>", "dateCreated": "2026-09-11T12:00:00-04:00"} for i in (range(10) if offset == 0 else [10])],
                         "https://api.worldquantbrain.com/users/self/messages?offset=1" if offset == 0 else None)
         if path == "/consultant/boards/leader":
             assert params == {"user": "TEST_USER"}
@@ -64,12 +65,12 @@ async def setup(app, monkeypatch):
 async def test_cache_pagination_failure_and_account_isolation(app, logged_in, monkeypatch):
     calls, state = await setup(app, monkeypatch)
     first = (await logged_in.get(PREFIX + "/messages")).json()
-    assert first["content"]["next_offset"] == 1
+    assert first["content"]["next_offset"] == 10
     assert "secret()" not in str(first) and "javascript:" not in str(first)
     assert first["analysis"] is None and not first["can_generate"]
-    assert (await logged_in.get(PREFIX + "/messages")).json() == first and len(calls) == 1
-    second = (await logged_in.get(PREFIX + "/messages?offset=1")).json()
-    assert second["content"]["items"][0]["id"] == "msg1"
+    assert (await logged_in.get(PREFIX + "/messages")).json() == first and len(calls) == 2
+    second = (await logged_in.get(PREFIX + "/messages?offset=10")).json()
+    assert second["content"]["items"][0]["id"] == "msg10"
     state["fail"].add("/users/self/messages")
     failed = (await logged_in.post(PREFIX + "/messages/refresh")).json()
     assert failed["stale"] and failed["error"]
@@ -193,7 +194,7 @@ async def test_failed_grounding_preserves_prior_analysis(app, logged_in, monkeyp
 async def test_concurrent_first_reads_are_coalesced(app, logged_in, monkeypatch):
     calls, _ = await setup(app, monkeypatch)
     results = await asyncio.gather(*[logged_in.get(PREFIX + "/messages") for _ in range(4)])
-    assert all(r.status_code == 200 for r in results) and len(calls) == 1
+    assert all(r.status_code == 200 for r in results) and len(calls) == 2
 
 
 async def test_event_sources_include_competitions_and_current_day(app, logged_in, monkeypatch):
@@ -298,3 +299,93 @@ async def test_shared_connection_change_invalidates_ai(app, logged_in, monkeypat
         setattr(await db.get(AISettings, 1), field, value)
     assert (await logged_in.get(PREFIX + '/competition' + QUERY)).json()['analysis']['outdated']
     assert calls == ['basic-model']
+
+
+@pytest.mark.parametrize('at,expected', [
+    ('2026-03-31T12:00:00-04:00', '2026-02-28T12:00:00-05:00'),
+    ('2024-03-31T12:00:00-04:00', '2024-02-29T12:00:00-05:00'),
+    ('2026-01-31T12:00:00-05:00', '2025-12-31T12:00:00-05:00'),
+])
+def test_recent_month_uses_eastern_calendar_month(monkeypatch, at, expected):
+    monkeypatch.setattr(home, 'now', lambda: datetime.fromisoformat(at))
+    assert home.month_start().isoformat() == expected
+
+
+async def test_recent_messages_scan_pages_filter_unknown_future_and_boundary(monkeypatch):
+    monkeypatch.setattr(home, 'now', lambda: datetime.fromisoformat('2026-03-31T12:00:00-04:00'))
+    calls = []
+    class Client:
+        async def get(self, path, params):
+            calls.append(params)
+            if params['offset'] == 0:
+                return page([{'id': 'old', 'dateCreated': '2026-02-28T11:59:59-05:00'},
+                             {'id': 'unknown'}, {'id': 'future', 'dateCreated': '2026-04-01T00:00:00Z'}],
+                            'https://api.worldquantbrain.com/users/self/messages?offset=3&limit=100')
+            return page([{'id': 'boundary', 'dateCreated': '2026-02-28T12:00:00-05:00'},
+                         {'id': 'today', 'dateCreated': '2026-03-31T12:00:00-04:00'}])
+    data = await home.source(Client(), 'messages', 'TEST_USER', 0, '')
+    assert [item['id'] for item in data['items']] == ['today', 'boundary']
+    assert calls == [{'offset': 0, 'limit': 100}, {'offset': 3, 'limit': 100}]
+
+
+async def test_messages_and_ai_never_persist_and_expire_without_auto_generation(app, logged_in, monkeypatch):
+    platform_calls, _ = await setup(app, monkeypatch)
+    await model_setup(app)
+    model_calls = []
+    def respond(messages, info):
+        return ModelResponse(parts=[ToolCallPart(info.output_tools[0].name, {'items': [], 'suggestions': []})])
+    @asynccontextmanager
+    async def factory(config, settings):
+        model_calls.append(config.model)
+        yield FunctionModel(respond)
+    app.state.ai.model_factory = factory
+    # Legacy rows must never be used; migration will remove them on deployment.
+    async with app.state.sessions.begin() as db:
+        db.add(HomeInformation(user_id='TEST_USER', resource='messages:0', content={'items': [{'title': 'legacy'}]}))
+    first = (await logged_in.get(PREFIX + '/messages')).json()
+    assert first['ephemeral'] and first['content']['total'] == 11
+    generated = await logged_in.post(PREFIX + '/messages/generate')
+    assert generated.status_code == 200, generated.text
+    assert generated.json()['analysis']['model'] == 'basic-model'
+    await logged_in.get(PREFIX + '/messages')
+    await logged_in.get(PREFIX + '/messages?offset=10')
+    assert len(platform_calls) == 2 and model_calls == ['basic-model']
+    async with app.state.sessions() as db:
+        saved = (await db.scalars(sa.select(HomeInformation))).all()
+        assert len(saved) == 1 and saved[0].content == {'items': [{'title': 'legacy'}]}
+        assert saved[0].analysis is None
+    monkeypatch.setattr(home, 'now', lambda: datetime.fromisoformat('2026-09-12T12:15:00+00:00'))
+    assert (await logged_in.post(PREFIX + '/messages/generate')).status_code == 409
+    reloaded = (await logged_in.get(PREFIX + '/messages')).json()
+    assert reloaded['analysis'] is None and len(platform_calls) == 4
+    assert model_calls == ['basic-model']
+
+
+async def test_message_window_rechecks_memory_and_removes_expired_interpretation(app, logged_in, monkeypatch):
+    await setup(app, monkeypatch)
+    monkeypatch.setattr(home, 'now', lambda: datetime.fromisoformat('2026-09-12T12:00:00+00:00'))
+    async def upstream(path, params=None):
+        return page([{'id': 'boundary', 'dateCreated': '2026-08-12T08:00:00-04:00'}])
+    monkeypatch.setattr(app.state.runner.client, 'get', upstream)
+    assert (await logged_in.get(PREFIX + '/messages')).json()['content']['total'] == 1
+    app.state.home_message_cache['TEST_USER'].analyses[0] = {'old': 'interpretation'}
+    monkeypatch.setattr(home, 'now', lambda: datetime.fromisoformat('2026-09-12T12:00:01+00:00'))
+    result = (await logged_in.get(PREFIX + '/messages')).json()
+    assert result['content']['total'] == 0 and result['analysis'] is None
+
+
+def test_message_cleanup_migration_only_removes_message_cache(tmp_path):
+    path = Path(__file__).parents[1] / 'migrations/versions/0017_remove_message_cache.py'
+    spec = importlib.util.spec_from_file_location('message_cleanup', path)
+    migration = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(migration)
+    engine = sa.create_engine(f'sqlite:///{tmp_path}/cleanup.db')
+    with engine.begin() as conn:
+        conn.exec_driver_sql('CREATE TABLE home_information (user_id TEXT, resource TEXT, content TEXT, analysis TEXT)')
+        for user, resource in [('A', 'messages:0'), ('B', 'messages:10'), ('A', 'events:'), ('A', 'competition:ARC2026')]:
+            conn.exec_driver_sql('INSERT INTO home_information VALUES (?, ?, ?, ?)', (user, resource, 'source', 'ai'))
+        with Operations.context(MigrationContext.configure(conn)):
+            migration.upgrade()
+            migration.upgrade()
+        assert conn.exec_driver_sql('SELECT resource FROM home_information ORDER BY resource').scalars().all() == ['competition:ARC2026', 'events:']
+    engine.dispose()

backend/tests/test_local_correlation_filters.py

@@ -0,0 +1,45 @@
+"""Cached correlation filters compose before pagination and match visible states."""
+
+import csv
+import io
+
+import pytest
+
+from app.alphas import upsert_alpha
+from app.models import SelfCorrelation
+from tests.conftest import alpha
+
+
+async def test_correlation_filters(app, logged_in):
+    patterns = [("negative", "low", -0.4, False), ("zero", "low", 0, False),
+                ("yellow", "high", 0.7, False), ("boundary", "high", 0.75, False),
+                ("red", "high", 0.8, False), ("old", "low", 0.2, True),
+                ("partial", "partial", 0.5, False), ("empty", "insufficient_data", None, False)]
+    async with app.state.sessions.begin() as db:
+        for name, status, value, stale in patterns:
+            await upsert_alpha(db, alpha(name))
+            db.add(SelfCorrelation(alpha_id=name, region="USA", stale=stale,
+                                   result={"status": status, "max_correlation": value}))
+        await upsert_alpha(db, alpha("missing"))
+    for status, ids in [("not_cached", ["missing"]), ("stale", ["old"]), ("low", ["negative", "zero"]),
+                        ("high", ["boundary", "red", "yellow"]), ("partial", ["partial"]), ("insufficient_data", ["empty"])]:
+        response = await logged_in.get("/api/v1/alphas", params={"local_correlation_status": status, "sort": "id", "direction": "asc"})
+        assert response.status_code == 200
+        assert [row["id"] for row in response.json()["items"]] == ids
+    query = "local_correlation_min=0.7&local_correlation_max=0.75&region=USA&submission=UNSUBMITTED&sort=id&direction=asc&limit=1&offset=1"
+    page = (await logged_in.get(f"/api/v1/alphas?{query}")).json()
+    assert page["total"] == 2 and [row["id"] for row in page["items"]] == ["yellow"]
+    export = await logged_in.get(f"/api/v1/alphas/export?{query}")
+    assert [row["id"] for row in csv.DictReader(io.StringIO(export.text.lstrip("\ufeff")))] == ["boundary", "yellow"]
+    for query, expected in [("local_correlation_max=0", ["negative", "zero"]),
+                            ("local_correlation_min=0.1&local_correlation_max=0.3", ["old"]),
+                            ("local_correlation_status=low&local_correlation_min=0.1&local_correlation_max=0.3", []),
+                            ("local_correlation_status=not_cached&local_correlation_min=-1", [])]:
+        page = (await logged_in.get(f"/api/v1/alphas?{query}&sort=id&direction=asc")).json()
+        assert [row["id"] for row in page["items"]] == expected
+
+
+@pytest.mark.parametrize("query", ["local_correlation_min=0.8&local_correlation_max=0.7", "local_correlation_min=-1.1",
+                                   "local_correlation_max=1.1", "local_correlation_min=nan", "local_correlation_status=invalid"])
+async def test_correlation_filter_validation(logged_in, query):
+    assert (await logged_in.get(f"/api/v1/alphas?{query}")).status_code == 422

backend/tests/test_mcp.py

@@ -162,7 +162,10 @@ async def test_official_sdk_client_and_error_contract(mcp_app):
             async with ClientSession(streams[0], streams[1]) as client:
                 await client.initialize()
                 listed = await client.list_tools()
-                assert len(listed.tools) == 20
+                assert len(listed.tools) == 35
+                assert {"expand_research_template", "get_template_candidates", "start_template_backtest"} <= {t.name for t in listed.tools}
+                assert {"search_research_templates", "get_research_template", "create_research_template_version"} <= {t.name for t in listed.tools}
+                assert any(tool.name == "get_pyramid_distribution" for tool in listed.tools)
                 assert {"search_data_preparations", "get_data_preparation"} <= {t.name for t in listed.tools}
                 caps = await client.call_tool("get_research_capabilities", {})
                 assert caps.structured_content["max_candidates"] == 100

backend/tests/test_mcp_pyramids.py

@@ -0,0 +1,92 @@
+"""Verify distribution through MCP authorization, validation and audit boundaries."""
+
+import httpx
+import pytest
+
+from app.worldquant import WqClient
+from tests.test_mcp import credentials, invoke
+from tests.test_mcp import mcp_app as mcp_app
+
+
+def row(name, count, region="USA", delay=1):
+    return {"category": {"id": name, "name": name}, "alphaCount": count,
+            "region": region, "delay": delay}
+
+
+async def test_distribution(mcp_app):
+    calls = []
+
+    def platform(request):
+        calls.append(request)
+        assert request.method == "GET"
+        assert request.url.path == "/users/self/activities/pyramid-alphas"
+        return httpx.Response(200, json={"pyramids": [row("zero", 0), row("one", 1),
+            row("two", 2), row("three", 3), row("four", 4), row("other", 5, "GLB"),
+            row("delay_zero", 5, delay=0)]})
+
+    client = WqClient(mcp_app.state.settings, transport=httpx.MockTransport(platform))
+    client.credentials, client.authenticated = ("test", "test"), True
+    original = mcp_app.state.runner.client
+    mcp_app.state.runner.client = client
+    try:
+        reader, _ = await credentials(mcp_app, {"research:read"})
+        result = await invoke(mcp_app, reader, "get_pyramid_distribution", {"region": "USA", "delay": 1, "current_date": "2026-09-13"})
+        assert [r["alpha_count"] for r in result["lit"]] == [4, 3]
+        assert [r["remaining"] for r in result["in_progress"]] == [2, 1]
+        assert result["unlit"][0]["category"]["id"] == "zero"
+        assert dict(calls[0].url.params) == {"startDate": "2026-07-01", "endDate": "2026-09-30"}
+        assert result["period"] == {"quarter": "2026-Q3", "start_date": "2026-07-01", "end_date": "2026-09-30"}
+        for args in ({"region": "USA", "delay": 2}, {"region": "USA", "delay": True},
+                     {"region": "../", "delay": 1}):
+            response = await mcp_app.state.mcp.invoke(reader, "get_pyramid_distribution", args | {"current_date": "2026-09-13"})
+            assert response.structured_content["error"]["code"] == "INVALID_INPUT"
+        assert len(calls) == 1
+        client.credentials, client.authenticated = None, False
+        response = await mcp_app.state.mcp.invoke(reader, "get_pyramid_distribution", {"region": "USA", "delay": 1, "current_date": "2026-09-13"})
+        assert response.structured_content["error"]["code"] == "DISCONNECTED"
+    finally:
+        mcp_app.state.runner.client = original
+        await client.close()
+
+
+@pytest.mark.parametrize("rows", [[], [row("x", None)], [row("x", -1)],
+                                 [row("x", True)], [row("x", 1), row("x", 2)]])
+def test_missing_evidence_is_not_zero(rows):
+    from app.research_access.pyramids import distribution
+
+    with pytest.raises(ValueError):
+        distribution({"pyramids": rows}, "USA", 1)
+
+
+@pytest.mark.parametrize(('value', 'quarter', 'start', 'end'), [
+    ('2026-01-01', '2026-Q1', '2026-01-01', '2026-03-31'),
+    ('2026-03-31', '2026-Q1', '2026-01-01', '2026-03-31'),
+    ('2026-04-01', '2026-Q2', '2026-04-01', '2026-06-30'),
+    ('2026-06-30', '2026-Q2', '2026-04-01', '2026-06-30'),
+    ('2026-07-01', '2026-Q3', '2026-07-01', '2026-09-30'),
+    ('2026-09-30', '2026-Q3', '2026-07-01', '2026-09-30'),
+    ('2026-10-01', '2026-Q4', '2026-10-01', '2026-12-31'),
+    ('2026-12-31', '2026-Q4', '2026-10-01', '2026-12-31'),
+    ('2027-01-01', '2027-Q1', '2027-01-01', '2027-03-31'),
+    ('2024-02-29', '2024-Q1', '2024-01-01', '2024-03-31'),
+])
+def test_quarter_boundaries(value, quarter, start, end):
+    from datetime import date
+
+    from app.research_access.pyramids import quarter_period
+
+    assert quarter_period(date.fromisoformat(value)) == {
+        'quarter': quarter, 'start_date': start, 'end_date': end}
+
+
+@pytest.mark.parametrize('value', [None, '2026-02-30', 'not-a-date'])
+def test_date_required_and_valid(value):
+    from pydantic import ValidationError
+
+    from app.research_access.contracts import PyramidQuery
+
+    args = {'region': 'USA', 'delay': 1}
+    if value is not None:
+        args['current_date'] = value
+    with pytest.raises(ValidationError):
+        PyramidQuery.model_validate(args)

backend/tests/test_mcp_submission.py

@@ -11,11 +11,14 @@ from tests.test_submission import FIELDS, Description, setup
 
 
 @pytest.mark.parametrize("kind", ["REGULAR", "SUPER"])
-@pytest.mark.parametrize("result", ["PASS", "FAIL"])
-async def test_mcp_check_never_submits(mcp_app, kind, result, monkeypatch):
+@pytest.mark.parametrize("result", ["PASS", "FAIL", "PENDING", "WARNING"])
+@pytest.mark.parametrize("limited", [False, True])
+async def test_mcp_check_never_submits(mcp_app, kind, result, limited, monkeypatch):
     from tests import test_submission
 
     checks = [{"name": "PROD_CORRELATION", "result": result}]
+    if limited:
+        checks.append({"name": "REGULAR_SUBMISSION", "result": "FAIL"})
     monkeypatch.setattr(test_submission, "CHECKS", checks)
     sections = ["regular"] if kind == "REGULAR" else ["selection", "combo"]
     platform = await setup(mcp_app, alpha(type=kind, **{s: {"code": "rank(close)"} for s in sections}))
@@ -35,6 +38,8 @@ async def test_mcp_check_never_submits(mcp_app, kind, result, monkeypatch):
     assert job["status"] == "completed", job
     data = await invoke(mcp_app, principal, "get_submission_check", {"alpha_id": "alpha1"})
     assert data["checks"] == checks and data["checked_at"]
+    assert data["check_summary"]["check_type"] == ("FAIL_1" if result == "FAIL" else "PASS")
+    assert data["check_summary"]["submission_limits"]["status"] == ("blocked" if limited else "unknown")
     assert data["production_submission"] is False
     assert platform.patches == [{s: {"description": args["descriptions"][s]} for s in sections}]
     assert platform.calls.count(("GET", "/alphas/alpha1/check")) == 2

backend/tests/test_mcp_templates.py

@@ -100,7 +100,7 @@ async def test_sdk_template_creation_frozen_evidence_and_web_expansion(app, logg
                 assert "submit_backtests" not in listed
                 assert not tool.annotations.read_only_hint and not tool.annotations.destructive_hint
                 assert tool.annotations.idempotent_hint and not tool.annotations.open_world_hint
-                assert {"template", "hypothesis", "source_item_ids", "idempotency_key"} <= set(tool.input_schema["required"])
+                assert {"template", "hypothesis", "idempotency_key"} <= set(tool.input_schema["required"])
                 assert tool.input_schema["additionalProperties"] is False
                 caps = await client.call_tool("get_research_capabilities", {})
                 assert caps.structured_content["templates"]["create_with"] == TOOL
@@ -138,7 +138,7 @@ async def test_sdk_template_creation_frozen_evidence_and_web_expansion(app, logg
     assert {c["expression"] for c in experiment["candidates"]} == {
         f"rank({field}) + {offset}" for field in ["TEST_FIN_001", "TEST_FIN_002"] for offset in [0, 1, 5]
     }
-    assert all(c["validation"]["status"] == "valid" for c in experiment["candidates"])
+    assert all("validation" not in c for c in experiment["candidates"])
     assert experiment["evidence"]["template"]["provenance"] == stored["provenance"]
     async with app.state.sessions() as db:
         assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 1
@@ -169,7 +169,7 @@ async def test_template_invalid_inputs_and_missing_sources_are_atomic(app, compl
     principal, _ = await credentials(app)
     valid = template_request(completed_source["id"])
     variants = [
-        {"source_item_ids": []}, {"source_item_ids": [completed_source["id"]] * 21},
+        {"source_item_ids": [completed_source["id"]] * 21},
         {"source_item_ids": [completed_source["id"]] * 2}, {"hypothesis": " "},
         {"force": True}, {"idempotency_key": ""},
         {"template": valid["template"] | {"expression": "rank({missing})"}},
@@ -236,3 +236,163 @@ async def test_browser_can_issue_template_only_and_all_permissions(app, logged_i
         async with app.state.sessions() as db:
             principal = await authenticate(db, response.json()["token"])
             assert principal.scopes == scopes
+
+
+async def test_mcp_template_version_is_idempotent_and_preserves_history(app, completed_source):
+    principal, _ = await credentials(app, {"research:read", "research:write"})
+    body = template_request(completed_source["id"])
+    created = await invoke(app, principal, TOOL, body)
+    content = deepcopy(body["template"])
+    content["variables"]["field"] = {"kind": "field", "field_type": "MATRIX", "description": "数据准备中的矩阵字段"}
+    update = {**body, "template": content, "template_id": created["id"],
+              "expected_version": 1, "idempotency_key": "version-2"}
+    tool = "create_research_template_version"
+    first = await invoke(app, principal, tool, update)
+    replay = await invoke(app, principal, tool, update)
+    assert first == replay and first["version"] == 2
+    assert first["combination_count"] is None
+    assert first["provenance"]["parent_template"] == {"id": created["id"], "version": 1}
+    read = await invoke(app, principal, "get_research_template", {"template_id": created["id"], "version": 1})
+    assert read["content"]["variables"]["field"]["values"] == ["TEST_FIN_001", "TEST_FIN_002"]
+    listed = await invoke(app, principal, "search_research_templates", {"q": content["name"]})
+    assert listed["items"][0]["version"] == 2
+    stale = await app.state.mcp.invoke(principal, tool, update | {"idempotency_key": "stale-version"})
+    assert stale.is_error and stale.structured_content["error"]["code"] == "CONFLICT"
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(ResearchRevision)) == 2
+    denied, _ = await credentials(app, {"research:read"})
+    from fastapi import HTTPException
+    with pytest.raises(HTTPException) as forbidden:
+        await app.state.mcp.invoke(denied, tool, update)
+    assert forbidden.value.status_code == 403
+
+
+async def test_template_without_result_sources_can_be_created_and_versioned(app):
+    principal, _ = await credentials(app, {"research:read", "research:write"})
+    body = template_request("unused")
+    body.pop("source_item_ids")
+    created = await invoke(app, principal, TOOL, body)
+    assert created["provenance"]["source_items"] == []
+    assert created["validation"]["source_evidence"] == "not_provided"
+    revised = await invoke(app, principal, "create_research_template_version", {
+        **body, "template_id": created["id"], "expected_version": 1, "idempotency_key": "no-source-v2",
+        "source_item_ids": [],
+    })
+    assert revised["version"] == 2 and revised["provenance"]["source_items"] == []
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0
+
+
+async def template_collection(app, principal, research_input, count=130):
+    body = template_request("unused")
+    body.pop("source_item_ids")
+    body["template"]["variables"]["field"]["values"] = ["TEST_FIN_001"]
+    body["template"]["variables"]["offset"]["values"] = list(range(count))
+    saved = await invoke(app, principal, TOOL, body)
+    args = {
+        "template_id": saved["id"], "version": saved["version"],
+        "preparation_refs": [{"id": research_input["preparation_id"], "version": research_input["preparation_version"]}],
+        "settings": candidate()["settings"], "limit": count, "idempotency_key": "expand-collection",
+    }
+    return saved, args
+
+
+async def test_template_collection_mcp_paging_execution_and_replay(app, logged_in, research_input):
+    from sqlalchemy import delete
+
+    from app.models import BacktestPreview, CatalogResource, ResearchExperiment
+
+    principal, _ = await credentials(app)
+    saved, args = await template_collection(app, principal, research_input)
+    async with app.state.sessions.begin() as db:
+        await db.execute(delete(CatalogResource))
+    app.state.runner.backtests.wake.clear()
+    first, retry = await asyncio.gather(*[invoke(app, principal, "expand_research_template", args) for _ in range(2)])
+    assert first == retry and first["total"] == 130 and len(first["items"]) == 25
+    assert first["has_more"] and not first["starts_backtests"]
+    assert first["template"]["id"] == saved["id"] and first["template"]["version"] == 1
+    assert not app.state.runner.backtests.wake.is_set()
+    collected = []
+    for offset in (0, 100):
+        result = await invoke(app, principal, "get_template_candidates", {
+            "experiment_id": first["experiment_id"], "limit": 100, "offset": offset,
+        })
+        collected += result["items"]
+    assert len(collected) == 130 and not result["has_more"]
+    assert all("validation" not in item for item in collected)
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(ResearchExperiment)) == 1
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0
+    args = {"experiment_id": first["experiment_id"], "candidate_ids": [c["client_item_id"] for c in collected],
+            "idempotency_key": "execute-collection"}
+    run, replay = await asyncio.gather(*[invoke(app, principal, "start_template_backtest", args) for _ in range(2)])
+    assert run == replay and run["total"] == 130
+    assert run["source"]["kind"] == "template" and run["source"]["research_id"] == first["experiment_id"]
+    assert run["source"]["input_snapshot_ids"]
+    assert app.state.runner.backtests.wake.is_set()
+    rotated, _ = await credentials(app)
+    assert await invoke(app, rotated, "start_template_backtest", args) == run
+    conflict = await app.state.mcp.invoke(principal, "start_template_backtest", args | {"candidate_ids": ["c1"]})
+    assert conflict.is_error and conflict.structured_content["error"]["code"] == "IDEMPOTENCY_CONFLICT"
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 1
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 1
+        row = await db.get(BacktestRun, run["backtest_run_id"])
+        assert row.ai_context["mcp_token_id"] == principal.token_id
+        audit = await db.scalar(select(MCPAudit).where(MCPAudit.tool == "expand_research_template"))
+        assert audit.business_id == first["experiment_id"]
+    record = (await logged_in.get(f"/api/v1/research/experiments/{first['experiment_id']}")).json()
+    assert record["backtest_run_ids"] == [run["backtest_run_id"]]
+
+
+async def test_template_mcp_failures_are_atomic_and_do_not_consume_keys(app, research_input):
+    from app.models import BacktestPreview, ResearchExperiment
+
+    principal, _ = await credentials(app)
+    saved, args = await template_collection(app, principal, research_input, 2)
+    for changed in [args | {"settings": args["settings"] | {"region": "EUR"}},
+                    args | {"preparation_refs": [{**args["preparation_refs"][0], "version": 999}]}]:
+        result = await app.state.mcp.invoke(principal, "expand_research_template", changed)
+        assert result.is_error
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(ResearchExperiment)) == 0
+        assert not await db.scalar(select(ResearchRequest).where(ResearchRequest.operation == "expand_research_template"))
+    collection = await invoke(app, principal, "expand_research_template", args)
+    conflict = await app.state.mcp.invoke(principal, "expand_research_template", args | {"seed": 1})
+    assert conflict.structured_content["error"]["code"] == "IDEMPOTENCY_CONFLICT"
+    request = {"experiment_id": collection["experiment_id"], "candidate_ids": ["c1"], "idempotency_key": "execute"}
+    for ids in [[], ["unknown"], ["c1", "c1"]]:
+        result = await app.state.mcp.invoke(principal, "start_template_backtest", request | {"candidate_ids": ids})
+        assert result.is_error
+    result = await app.state.mcp.invoke(principal, "start_template_backtest", request | {"expression": "rank(other)"})
+    assert result.is_error and result.structured_content["error"]["code"] == "INVALID_INPUT"
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 0
+        assert not await db.scalar(select(ResearchRequest).where(ResearchRequest.operation == "start_template_backtest"))
+    await invoke(app, principal, "start_template_backtest", request)
+
+
+async def test_template_tool_discovery_and_execute_permissions(app, research_input):
+    from fastapi import HTTPException
+
+    principal, secret = await credentials(app, {"research:read", "research:write"})
+    async with httpx.AsyncClient(transport=httpx.ASGITransport(app=app), base_url="http://testserver",
+                               headers={"Authorization": f"Bearer {secret}", "Accept": "application/json, text/event-stream"}) as http:
+        listed = (await http.post(ENDPOINT, json={"jsonrpc": "2.0", "id": 1, "method": "tools/list"})).json()
+        tools = {t["name"]: t for t in listed["result"]["tools"]}
+        assert "expand_research_template" in tools and "get_template_candidates" in tools
+        assert "start_template_backtest" not in tools
+        assert "source_item_ids" not in tools[TOOL]["inputSchema"]["required"]
+        assert tools["expand_research_template"]["annotations"]["idempotentHint"]
+    _, args = await template_collection(app, principal, research_input, 2)
+    collection = await invoke(app, principal, "expand_research_template", args)
+    with pytest.raises(HTTPException) as denied:
+        await app.state.mcp.invoke(principal, "start_template_backtest", {
+            "experiment_id": collection["experiment_id"], "candidate_ids": ["c1"], "idempotency_key": "denied",
+        })
+    assert denied.value.status_code == 403
+    reader, _ = await credentials(app, {"research:read"})
+    await invoke(app, reader, "get_template_candidates", {"experiment_id": collection["experiment_id"]})
+    with pytest.raises(HTTPException):
+        await app.state.mcp.invoke(reader, "expand_research_template", args)

backend/tests/test_ppac_candidate.py

@@ -0,0 +1,108 @@
+"""PPAC candidates retain their theme failure and wait for platform eligibility."""
+
+import copy
+import csv
+import io
+
+import pytest
+
+from app.alphas import check_summary, snapshot_columns, upsert_alpha
+from tests import test_submission
+from tests.conftest import alpha
+
+THEME = {"name": "PURE_POWER_POOL_THEME", "result": "FAIL"}
+LIMIT = {"name": "REGULAR_SUBMISSION", "result": "FAIL"}
+OTHER = {"name": "LOW_SHARPE", "result": "FAIL"}
+
+
+@pytest.mark.parametrize("checked", [False, True])
+@pytest.mark.parametrize("checks,expected", [
+    ([THEME], "PPAC_CANDIDATE"),
+    ([{**THEME, "result": "fail"}], "PPAC_CANDIDATE"),
+    ([THEME, LIMIT, {"name": "MATCHES_THEMES", "result": "WARNING"},
+      {"name": "PROD_CORRELATION", "result": "PENDING"}], "PPAC_CANDIDATE"),
+    ([THEME, OTHER], "FAIL_2"),
+    ([THEME, THEME], "FAIL_2"),
+    ([THEME, {"result": "FAIL"}], "FAIL_2"),
+    ([OTHER], "FAIL_1"),
+    ([{**THEME, "result": "PASS"}, OTHER], "FAIL_1"),
+    ([{**THEME, "result": False}], "PENDING"),
+    ([{**THEME, "value": False}], "PPAC_CANDIDATE"),
+    ([], "PENDING"),
+    ([{}], "PENDING"),
+])
+def test_only_a_single_explicit_theme_failure_is_a_candidate(checks, expected, checked):
+    original = copy.deepcopy(checks)
+    columns = snapshot_columns({}, {}, checks, checked=checked)
+    assert columns["check_type"] == expected
+    assert checks == original
+    if expected == "PPAC_CANDIDATE":
+        assert check_summary(checks, check_type=expected)["failed_checks"] == ["PURE_POWER_POOL_THEME"]
+
+
+async def test_ppac_scope_filters_before_pagination_and_export(app, logged_in):
+    async with app.state.sessions.begin() as db:
+        for name, checks, status, region, hidden in [
+            ("candidate1", [THEME], "UNSUBMITTED", "USA", False),
+            ("candidate2", [THEME, LIMIT], "UNSUBMITTED", "USA", True),
+            ("other_region", [THEME], "UNSUBMITTED", "CHN", False),
+            ("submitted", [THEME], "ACTIVE", "USA", False),
+            ("missing_status", [THEME], None, "USA", False),
+            ("two_failures", [THEME, OTHER], "UNSUBMITTED", "USA", False),
+            ("other_failure", [OTHER], "UNSUBMITTED", "USA", False),
+            ("passed", [{**THEME, "result": "PASS"}], "UNSUBMITTED", "USA", False),
+            ("missing", [], "UNSUBMITTED", "USA", False),
+        ]:
+            await upsert_alpha(db, alpha(name, status=status, hidden=hidden, settings={"region": region},
+                                         **{"is": {"checks": checks}}))
+    query = "ppac_candidate=true&region=USA&sort=id&direction=asc&limit=1&offset=1"
+    response = await logged_in.get(f"/api/v1/alphas?{query}")
+    assert response.status_code == 200, response.text
+    result = response.json()
+    assert result["total"] == 2
+    assert [row["id"] for row in result["items"]] == ["candidate2"]
+    assert result["items"][0]["check_type"] == "PPAC_CANDIDATE"
+    assert result["items"][0]["failed_checks"] == ["PURE_POWER_POOL_THEME"]
+    export = await logged_in.get(f"/api/v1/alphas/export?{query}")
+    rows = list(csv.DictReader(io.StringIO(export.text.lstrip("\ufeff"))))
+    assert [row["id"] for row in rows] == ["candidate1", "candidate2"]
+    assert {row["check_type"] for row in rows} == {"PPAC_CANDIDATE"}
+    assert (await logged_in.get("/api/v1/alphas?ppac_candidate=true&submission=SUBMITTED")).json()["total"] == 0
+    assert (await logged_in.get("/api/v1/alphas?ppac_candidate=true&check_type=FAIL_1")).json()["total"] == 0
+    assert (await logged_in.get("/api/v1/alphas?ppac_candidate=true&submission_blocked=true")).json()["total"] == 1
+    assert (await logged_in.get("/api/v1/alphas?ppac_candidate=true&q=candidate1")).json()["total"] == 1
+    assert (await logged_in.get("/api/v1/alphas?check_type=PPAC_CANDIDATE&submission=UNSUBMITTED")).json()["total"] == 3
+    assert (await logged_in.get("/api/v1/alphas?ppac_candidate=false")).json()["total"] == 4
+
+    saved = await logged_in.post("/api/v1/research/assets", json={
+        "kind": "view", "content": {"name": "候选PPAC", "filters": {
+            "submission": "UNSUBMITTED", "ppac_candidate": True, "region": "USA",
+        }, "columns": ["name", "check_type"]},
+    })
+    assert saved.status_code in (200, 201), saved.text
+    assert saved.json()["content"]["filters"]["ppac_candidate"] is True
+
+
+async def test_check_and_sync_refresh_candidate_status_without_losing_evidence(app, logged_in, monkeypatch):
+    await test_submission.setup(app, alpha(**{"is": {"checks": [OTHER]}}))
+    for checks, expected in [([THEME, LIMIT], "PPAC_CANDIDATE"), ([{**THEME, "result": "PASS"}], "PASS")]:
+        monkeypatch.setattr(test_submission, "CHECKS", checks)
+        response = await test_submission.enqueue(logged_in)
+        assert response.status_code == 202, response.text
+        await app.state.runner.execute(response.json()["id"])
+        state = (await logged_in.get("/api/v1/alphas/alpha1/submission")).json()
+        assert state["job"]["status"] == "completed"
+        assert state["check_summary"]["check_type"] == expected
+        detail = (await logged_in.get("/api/v1/alphas/alpha1")).json()
+        assert detail["checks"] == checks
+        assert detail["check_type"] == expected
+        assert detail["research"]["note"] == "preserve local research"
+        assert (await logged_in.get("/api/v1/alphas?ppac_candidate=true")).json()["total"] == (expected == "PPAC_CANDIDATE")
+    for checks, expected in [([THEME], "PPAC_CANDIDATE"), ([THEME, OTHER], "FAIL_2")]:
+        async with app.state.sessions.begin() as db:
+            await upsert_alpha(db, alpha(**{"is": {"checks": checks}}))
+        detail = (await logged_in.get("/api/v1/alphas/alpha1")).json()
+        assert detail["check_type"] == expected
+        assert detail["checks"] == checks
+        assert detail["research"]["note"] == "preserve local research"
+        assert (await logged_in.get("/api/v1/alphas?ppac_candidate=true")).json()["total"] == (expected == "PPAC_CANDIDATE")

backend/tests/test_ppac_candidate_migration.py

@@ -0,0 +1,56 @@
+"""Historical PPAC classification changes only matching cached check types."""
+
+from datetime import datetime, timezone
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+
+
+def test_ppac_backfill_preserves_evidence_across_batches_and_downgrade(tmp_path, monkeypatch):
+    database = tmp_path / "ppac.db"
+    monkeypatch.setenv("DATABASE_URL", f"sqlite+aiosqlite:///{database}")
+    monkeypatch.setenv("ADMIN_PASSWORD", "migration-test-only")
+    monkeypatch.setenv("ENCRYPTION_KEY", Fernet.generate_key().decode())
+    monkeypatch.setenv("WQ_EMAIL", "")
+    monkeypatch.setenv("WQ_PASSWORD", "")
+    root = Path(__file__).resolve().parents[1]
+    config = Config(str(root / "alembic.ini"))
+    config.set_main_option("script_location", str(root / "migrations"))
+    command.upgrade(config, "0021")
+    engine = sa.create_engine(f"sqlite:///{database}")
+    alphas = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+    theme = {"name": "PURE_POWER_POOL_THEME", "result": "FAIL"}
+    other = {"name": "LOW_SHARPE", "result": "FAIL"}
+    patterns = [
+        ([theme], "FAIL_1", "PPAC_CANDIDATE"),
+        ([{**theme, "result": "fail"}, {"name": "REGULAR_SUBMISSION", "result": "FAIL"}], "FAIL_1", "PPAC_CANDIDATE"),
+        ([theme, other], "FAIL_2", "FAIL_2"),
+        ([theme, theme], "FAIL_2", "FAIL_2"),
+        ([other], "FAIL_1", "FAIL_1"),
+        ([{**theme, "result": "PASS"}], "PASS", "PASS"),
+        ([{**theme, "result": "WARNING"}], "PRE_CHECK", "PRE_CHECK"),
+        ([{}], "PENDING", "PENDING"),
+        (None, "PENDING", "PENDING"),
+    ]
+    with engine.begin() as db:
+        db.execute(alphas.insert(), [
+            {"id": f"ppac{i:04}", "status": "UNSUBMITTED", "hidden": False, "settings": {}, "os_metrics": {},
+             "is_metrics": {"checks": patterns[i % len(patterns)][0]}, "checks": patterns[i % len(patterns)][0],
+             "check_type": patterns[i % len(patterns)][1], "synced_at": datetime(2026, 9, 13, tzinfo=timezone.utc),
+             "raw": {"is": {"checks": patterns[i % len(patterns)][0]}}}
+            for i in range(503)
+        ])
+        original = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
+    for target, position in [("0022", 2), ("0021", 1), ("0022", 2)]:
+        (command.upgrade if target == "0022" else command.downgrade)(config, target)
+        with engine.connect() as db:
+            rows = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
+            assert len(rows) == 503
+            for i, row in enumerate(rows):
+                assert dict(row) == {**original[i], "check_type": patterns[i % len(patterns)][position]}
+    command.upgrade(config, "head")
+    command.check(config)
+    engine.dispose()

backend/tests/test_preparation_sort.py

@@ -0,0 +1,33 @@
+"""Preparation sorting applies before pagination and rejects unsupported keys."""
+
+
+async def test_preparation_sort_pagination(logged_in):
+    client = logged_in
+    scope = {"instrument_type": "EQUITY", "region": "USA", "universe": "TOP3000", "delay": 1}
+    for name in ["sort-C", "sort-A", "sort-B", "unrelated"]:
+        response = await client.post("/api/v1/data-preparations", json={"name": name, "scope": scope})
+        assert response.status_code == 201
+    for direction, expected in [
+        ("asc", ["sort-A", "sort-B", "sort-C"]),
+        ("desc", ["sort-C", "sort-B", "sort-A"]),
+    ]:
+        names = []
+        for offset in range(3):
+            response = await client.get(
+                "/api/v1/data-preparations",
+                params={
+                    "q": "sort-",
+                    "sort": "name",
+                    "direction": direction,
+                    "limit": 1,
+                    "offset": offset,
+                },
+            )
+            assert response.status_code == 200
+            assert response.json()["total"] == 3
+            names.append(response.json()["items"][0]["name"])
+        assert names == expected
+    for params in [{"sort": "field_count"}, {"direction": "sideways"}]:
+        assert (await client.get("/api/v1/data-preparations", params=params)).status_code == 422
+    default = (await client.get("/api/v1/data-preparations")).json()
+    assert default["items"][0]["name"] == "unrelated"

backend/tests/test_research_integration.py

@@ -274,3 +274,58 @@ async def test_new_interfaces_require_login_and_same_origin(client):
             json=construction("none"),
         )
     ).status_code == 403
+
+
+@pytest.mark.parametrize("decision", ["approve", "deny", "tamper", "archive"])
+async def test_template_collection_single_confirmation(app, logged_in, fixed_input, decision):
+    from app.models import ResearchExperiment
+    from tests.test_research_workspace import expansion
+
+    await setup(app)
+    await configure(app, logged_in)
+    body = expansion(fixed_input["id"])
+    body["template"]["expression"] = "rank({field}) + {offset}"
+    body["template"]["variables"]["offset"] = {"kind": "integer", "values": list(range(20))}
+    response = await logged_in.post("/api/v1/research/experiments", json=body)
+    assert response.status_code == 201, response.text
+    experiment = response.json()
+    assert len(experiment["candidates"]) == 40
+    app.state.ai.model_factory = single_tool_factory("start_template_backtest", {
+        "experiment_id": experiment["id"],
+        "candidate_ids": [c["client_item_id"] for c in experiment["candidates"]],
+        "idempotency_key": "template-confirm",
+    })
+    conversation = (await logged_in.post("/api/v1/ai/conversations")).json()["id"]
+    run = await ask(logged_in, conversation, "回测这个模板集合")
+    assert run["status"] == "waiting_approval", run
+    assert len(run["tools"]) == 1
+    approval = run["tools"][0]
+    preview = approval["preview"]["backtest"]
+    assert preview["total"] == 40 and len(preview["items"]) < 40
+    async with app.state.sessions.begin() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 1
+        if decision == "tamper":
+            saved = await db.get(BacktestPreview, preview["preview_id"])
+            candidates = copy.deepcopy(saved.candidates)
+            candidates[-1]["expression"] = "rank(close)"
+            saved.candidates = candidates
+        elif decision == "archive":
+            saved = await db.get(ResearchExperiment, experiment["id"])
+            saved.archived = True
+    for _ in range(2):
+        result = await logged_in.post(f"/api/v1/ai/approvals/{approval['id']}/decision",
+                                     json={"approved": decision != "deny"})
+        assert result.status_code == 200, result.text
+    async with app.state.sessions() as db:
+        runs = (await db.scalars(select(BacktestRun))).all()
+        assert len(runs) == (1 if decision == "approve" else 0)
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 1
+        if runs:
+            assert runs[0].preview_id == preview["preview_id"]
+            assert runs[0].source["kind"] == "template"
+            assert runs[0].source["research_id"] == experiment["id"]
+            assert runs[0].ai_context["conversation_id"] == conversation
+            assert runs[0].ai_context["ai_run_id"] == run["id"]
+            saved = await db.get(BacktestPreview, runs[0].preview_id)
+            assert len(saved.candidates) == 40

backend/tests/test_research_workspace.py

@@ -8,7 +8,7 @@ from app.catalog.research_metadata import ResearchMetadata
 from app.models import BacktestRun, CatalogResource, ResearchExperiment
 from app.research.expressions import analyze, expand
 from tests.conftest import alpha
-from tests.test_backtests import execute, setup, start
+from tests.test_backtests import execute, setup
 from tests.test_catalog import SCOPE, prepare, sync
 from tests.test_catalog import catalog as catalog_fixture
 
@@ -120,7 +120,7 @@ def test_bounded_sampling_and_repeated_placeholders():
         expand(expression, values, "all", 100)
 
 
-async def test_template_version_expansion_preview_and_backtest(app, logged_in, research_input):
+async def test_template_version_expansion_direct_backtest_and_idempotency(app, logged_in, research_input):
     saved = await logged_in.post("/api/v1/research/assets", json={"kind": "template", "content": template()})
     assert saved.status_code == 201, saved.text
     asset = saved.json()
@@ -130,7 +130,7 @@ async def test_template_version_expansion_preview_and_backtest(app, logged_in, r
     assert generated.status_code == 201, generated.text
     experiment = generated.json()
     assert len(experiment["candidates"]) == 2
-    assert all(c["validation"]["status"] == "valid" for c in experiment["candidates"])
+    assert all("validation" not in c for c in experiment["candidates"])
     modified = template()
     modified["expression"] = "-rank({field})"
     response = await logged_in.put(
@@ -147,10 +147,24 @@ async def test_template_version_expansion_preview_and_backtest(app, logged_in, r
         )
     ).status_code == 409
     platform, lane = await setup(app)
-    preview = await logged_in.post(f"/api/v1/research/experiments/{experiment['id']}/preview", json={})
-    assert preview.status_code == 201, preview.text
-    assert not platform.posts
-    run = await start(logged_in, preview.json(), "research-stage-one")
+    from app.models import BacktestPreview
+
+    url = f"/api/v1/research/experiments/{experiment['id']}/backtest"
+    request = {"candidate_ids": ["c2"], "idempotency_key": "template-confirmation"}
+    result = await logged_in.post(url, json=request)
+    assert result.status_code == 202, result.text
+    run = result.json()
+    assert run["total"] == 1
+    assert run["source"]["kind"] == "template"
+    assert run["source"]["input_snapshot_ids"] == [research_input["id"]]
+    retry = await logged_in.post(url, json=request)
+    assert retry.status_code == 202 and retry.json()["backtest_run_id"] == run["backtest_run_id"]
+    conflict = await logged_in.post(url, json={**request, "candidate_ids": ["c1"]})
+    assert conflict.status_code == 409
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 1
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 1
+    assert lane.wake.is_set()
     await execute(app, lane, run["backtest_run_id"])
     results = (await logged_in.get(f"/api/v1/backtests/runs/{run['backtest_run_id']}/results")).json()
     aid = results["items"][0]["alpha_id"]
@@ -161,22 +175,34 @@ async def test_template_version_expansion_preview_and_backtest(app, logged_in, r
     assert old["backtest_run_ids"] == [run["backtest_run_id"]]
 
 
-async def test_invalid_fields_and_unknown_operators_never_start(app, logged_in, research_input):
+async def test_template_generation_does_not_require_field_operator_or_settings_evidence(app, logged_in, research_input):
+    from sqlalchemy import delete
+
+    async with app.state.sessions.begin() as db:
+        await db.execute(delete(CatalogResource))
     body = expansion(research_input["id"])
     body["template"]["variables"]["field"]["values"] = ["other_field"]
-    assert (await logged_in.post("/api/v1/research/experiments", json=body)).status_code == 422
-    async with app.state.sessions() as db:
-        assert await db.scalar(select(func.count()).select_from(ResearchExperiment)) == 0
-    body = expansion(research_input["id"])
-    body["template"]["expression"] = "made_up({field})"
+    body["template"]["expression"] = "made_up({field}) + vec_avg(TEST_FIN_001)"
     response = await logged_in.post("/api/v1/research/experiments", json=body)
     assert response.status_code == 201, response.text
-    eid = response.json()["id"]
-    assert (await logged_in.post(f"/api/v1/research/experiments/{eid}/preview", json={})).status_code == 422
+    experiment = response.json()
+    assert all("validation" not in c for c in experiment["candidates"])
+    assert not {"operators_snapshot", "settings_snapshot", "field_availability"} & experiment["evidence"].keys()
+    assert (await logged_in.post(f"/api/v1/research/experiments/{experiment['id']}/preview", json={})).status_code == 201
     async with app.state.sessions() as db:
         assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0
 
 
+@pytest.mark.parametrize("expression", ["rank({field}", "rank({field},,)", "x = {field}"])
+async def test_template_syntax_errors_reject_whole_collection(app, logged_in, research_input, expression):
+    body = expansion(research_input["id"])
+    body["template"]["expression"] = expression
+    response = await logged_in.post("/api/v1/research/experiments", json=body)
+    assert response.status_code == 422 and "语法错误" in response.text
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(ResearchExperiment)) == 0
+
+
 async def test_import_preview_conflict_and_explicit_commit(logged_in):
     legacy = {
         "name": "legacy",
@@ -367,7 +393,7 @@ def test_actual_cnhk_setting_choice_nesting_is_supported():
     )
 
 
-async def test_published_input_does_not_override_conflicting_field_evidence(app, logged_in, research_input):
+async def test_template_candidates_ignore_conflicting_field_evidence(app, logged_in, research_input):
     async with app.state.sessions.begin() as db:
         await ResearchMetadata(db).publish(
             "availability-fixture",
@@ -382,12 +408,11 @@ async def test_published_input_does_not_override_conflicting_field_evidence(app,
     experiment = (
         await logged_in.post("/api/v1/research/experiments", json=expansion(research_input["id"]))
     ).json()
-    assert experiment["candidates"][0]["validation"]["status"] == "needs_review"
-    assert experiment["candidates"][1]["validation"]["status"] == "valid"
+    assert all("validation" not in c for c in experiment["candidates"])
     denied = await logged_in.post(
         f"/api/v1/research/experiments/{experiment['id']}/preview", json={"candidate_ids": ["c1"]}
     )
-    assert denied.status_code == 422
+    assert denied.status_code == 201
     duplicate = await logged_in.post(
         f"/api/v1/research/experiments/{experiment['id']}/preview", json={"candidate_ids": ["c2", "c2"]}
     )
@@ -526,3 +551,131 @@ async def test_model_cannot_append_preparation_references_to_fixed_inputs(app, l
     assert response.status_code == 422 and "不能改变" in response.text
     async with app.state.sessions() as db:
         assert not await db.scalar(select(ResearchAsset).where(ResearchAsset.name == "untrusted"))
+
+
+async def test_template_definitions_bind_selected_fields_without_mutating_asset(logged_in, research_input):
+    content = template()
+    content["expression"] = "rank({field}) + rank({field})"
+    content["variables"]["field"] = {"kind": "field", "field_type": "MATRIX", "description": "横截面字段"}
+    saved = await logged_in.post("/api/v1/research/assets", json={"kind": "template", "content": content})
+    assert saved.status_code == 201, saved.text
+    asset = saved.json()
+    assert asset["content"]["variables"]["field"] == {
+        "kind": "field", "field_type": "MATRIX", "description": "横截面字段", "values": [],
+    }
+    body = expansion(research_input["id"], asset_id=asset["id"], version=1, mode="random", limit=2, seed=19)
+    body.pop("template")
+    first = await logged_in.post("/api/v1/research/experiments", json=body)
+    second = await logged_in.post("/api/v1/research/experiments", json=body)
+    assert first.status_code == second.status_code == 201, first.text
+    assert first.json()["candidates"] == second.json()["candidates"]
+    assert len(first.json()["candidates"]) == 2
+    for candidate in first.json()["candidates"]:
+        field = candidate["bindings"]["field"]
+        assert research_input["field_types"][field] == "MATRIX"
+        assert candidate["expression"] == f"rank({field}) + rank({field})"
+    stored = (await logged_in.get(f"/api/v1/research/assets/{asset['id']}")).json()
+    assert stored["content"] == asset["content"]
+
+
+async def test_empty_template_domains_fail_expansion_with_actionable_errors(logged_in, research_input):
+    body = expansion(research_input["id"])
+    body["template"]["variables"]["field"] = {"kind": "field", "field_type": "GROUP"}
+    response = await logged_in.post("/api/v1/research/experiments", json=body)
+    assert response.status_code == 422 and "没有匹配的 GROUP 字段" in response.text
+    body["template"]["expression"] = "ts_mean(TEST_FIN_001, {window})"
+    body["template"]["variables"] = {"window": {"kind": "integer", "description": "时间窗口"}}
+    response = await logged_in.post("/api/v1/research/experiments", json=body)
+    assert response.status_code == 422 and "变量 window 缺少候选取值" in response.text
+
+
+async def test_native_bot_creates_template_and_immutable_version(app, logged_in):
+    from fastapi import HTTPException
+
+    from app.ai.capabilities import ToolContext
+    from app.ai.tools import CAPABILITIES
+    from app.business import Business
+
+    async with app.state.sessions.begin() as db:
+        ctx = ToolContext(Business(db))
+        content = template()
+        content["variables"]["field"].pop("values")
+        created = await CAPABILITIES["create_research_template"].invoke(ctx, content)
+        content["description"] = "修订后的研究解释"
+        args = {"asset_id": created["id"], "version": 1, "content": content}
+        updated = await CAPABILITIES["create_research_template_version"].invoke(ctx, args)
+        assert updated["version"] == 2
+        with pytest.raises(HTTPException) as conflict:
+            await CAPABILITIES["create_research_template_version"].invoke(ctx, args)
+        assert conflict.value.status_code == 409
+    old = (await logged_in.get(f"/api/v1/research/assets/{created['id']}?version=1")).json()
+    assert old["content"]["description"] == "测试经济假设"
+
+
+@pytest.mark.parametrize("candidate_settings", [{"region": "EUR"}, {"universe": "TOP1000"}, {"delay": 0}])
+async def test_preparation_scope_must_still_match_candidate_settings(app, logged_in, research_input, candidate_settings):
+    body = expansion(research_input["id"])
+    body["input_ids"] = []
+    body["preparation_refs"] = [{"id": research_input["preparation_id"], "version": research_input["preparation_version"]}]
+    body["settings"].update(candidate_settings)
+    response = await logged_in.post("/api/v1/research/experiments", json=body)
+    assert response.status_code == 422 and "输入快照与研究范围不一致" in response.text
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(ResearchExperiment)) == 0
+
+
+async def test_template_contract_rejects_removed_scope(logged_in):
+    from app.research.workspace_contracts import TemplateSpec
+
+    content = template() | {"scope": SCOPE}
+    response = await logged_in.post("/api/v1/research/assets", json={"kind": "template", "content": content})
+    assert response.status_code == 422, response.text
+    assert "scope" in response.text
+    assert "scope" not in TemplateSpec.model_json_schema()["properties"]
+
+
+async def test_template_start_checks_selection_and_ignores_old_row_validation(app, logged_in, research_input):
+    from app.models import BacktestPreview
+
+    experiment = (await logged_in.post("/api/v1/research/experiments", json=expansion(research_input["id"]))).json()
+    async with app.state.sessions.begin() as db:
+        row = await db.get(ResearchExperiment, experiment["id"])
+        row.candidates = [{**c, "validation": {"status": "needs_review", "syntax": [], "types": [],
+                                              "availability": ["历史字段未核实"]}} for c in row.candidates]
+    await setup(app)
+    url = f"/api/v1/research/experiments/{experiment['id']}/backtest"
+    for ids in [[], ["unknown"], ["c1", "c1"]]:
+        response = await logged_in.post(url, json={"candidate_ids": ids, "idempotency_key": "confirm-old"})
+        assert response.status_code == 422, response.text
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 0
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0
+    response = await logged_in.post(url, json={"candidate_ids": ["c1", "c2"], "idempotency_key": "confirm-old"})
+    assert response.status_code == 202 and response.json()["total"] == 2
+    retry = await logged_in.post(url, json={"candidate_ids": ["c2", "c1"], "idempotency_key": "confirm-old"})
+    assert retry.status_code == 202 and retry.json()["backtest_run_id"] == response.json()["backtest_run_id"]
+
+
+@pytest.mark.parametrize("change", ["syntax", "scope", "archived", "disconnected"])
+async def test_template_start_rejects_unusable_collection_without_partial_writes(app, logged_in, research_input, change):
+    from app.models import Account, BacktestPreview
+
+    experiment = (await logged_in.post("/api/v1/research/experiments", json=expansion(research_input["id"]))).json()
+    async with app.state.sessions.begin() as db:
+        row = await db.get(ResearchExperiment, experiment["id"])
+        if change == "syntax":
+            row.candidates = [{**c, "expression": "rank("} for c in row.candidates]
+        elif change == "scope":
+            row.candidates = [{**c, "settings": {**c["settings"], "region": "EUR"}} for c in row.candidates]
+        elif change == "archived":
+            row.archived = True
+        else:
+            (await db.get(Account, 1)).connection_status = "disconnected"
+    app.state.runner.backtests.wake.clear()
+    response = await logged_in.post(f"/api/v1/research/experiments/{experiment['id']}/backtest",
+                                    json={"candidate_ids": ["c1"], "idempotency_key": "invalid"})
+    assert response.status_code == (422 if change in ("syntax", "scope") else 409), response.text
+    assert not app.state.runner.backtests.wake.is_set()
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(BacktestPreview)) == 0
+        assert await db.scalar(select(func.count()).select_from(BacktestRun)) == 0

backend/tests/test_settings_metadata.py

@@ -0,0 +1,56 @@
+"""Settings metadata retains platform choices, numeric bounds and scope dependencies."""
+
+import pytest
+from fastapi import HTTPException
+
+from app.catalog.research_metadata import ResearchMetadata, setting_rows
+from tests.catalog_fake import platform_response
+
+
+def settings_response():
+    data = platform_response()
+    children = data["actions"]["POST"]["settings"]["children"]
+    children["neutralization"] = {"choices": [{"value": "INDUSTRY"}, {"value": "NONE"}]}
+    children["decay"] = {"min_value": 0, "max_value": 500}
+    children["truncation"] = {"choices": [{"value": 0.05}, {"value": 0.08}]}
+    children["visualization"] = {"choices": [{"value": False}, {"value": True}]}
+    children["nanHandling"] = {"choices": {"instrumentType": {"EQUITY": {"region": {
+        region: {"delay": {str(delay): [{"value": "OFF" if delay == 0 else "ON"}] for delay in [0, 1]}}
+        for region in ["USA", "CHN", "IND"]
+    }}}}}
+    return data
+
+
+def test_metadata_preserves_types_and_resolves_delay():
+    rows = setting_rows(settings_response())
+    first = next(r for r in rows if r["region"] == "USA" and r["delay"] == 0)
+    second = next(r for r in rows if r["region"] == "USA" and r["delay"] == 1)
+    assert first["fields"]["decay"] == {"minimum": 0, "maximum": 500}
+    assert first["fields"]["truncation"]["choices"] == [0.05, 0.08]
+    assert first["fields"]["visualization"]["choices"] == [False, True]
+    assert first["fields"]["nanHandling"]["choices"] == ["OFF"]
+    assert second["fields"]["nanHandling"]["choices"] == ["ON"]
+    assert first["neutralizations"] == ["INDUSTRY", "NONE"]
+
+
+async def test_refresh_publishes_fields_and_keeps_previous_snapshot_on_invalid_options(app):
+    class Client:
+        async def research_setting_options(self):
+            return settings_response()
+
+    async with app.state.sessions.begin() as db:
+        service = ResearchMetadata(db, Client())
+        previous = await service.refresh_settings()
+        assert previous["content"]["items"][0]["fields"]["visualization"]["choices"] == [False, True]
+
+        class InvalidClient:
+            async def research_setting_options(self):
+                data = settings_response()
+                data["actions"]["POST"]["settings"]["children"]["nanHandling"]["choices"] = {"unsupported": []}
+                return data
+
+        service.client = InvalidClient()
+        with pytest.raises(HTTPException) as error:
+            await service.refresh_settings()
+        assert error.value.status_code == 502
+        assert (await service.get("settings"))["content"] == previous["content"]

backend/tests/test_submission_blocked.py

@@ -0,0 +1,45 @@
+"""Submission limits filter cached unsubmitted Alpha snapshots before pagination."""
+
+import csv
+import io
+
+from app.alphas import snapshot_columns, upsert_alpha
+from tests.conftest import alpha
+
+
+async def test_blocked_filter_intersects_filters_and_export_and_refresh(app, logged_in):
+    async with app.state.sessions.begin() as db:
+        for name, result, status, region in [
+            ("blocked1", "FAIL", "UNSUBMITTED", "USA"),
+            ("blocked2", "fail", "UNSUBMITTED", "USA"),
+            ("other_region", "FAIL", "UNSUBMITTED", "CHN"),
+            ("submitted", "FAIL", "ACTIVE", "USA"),
+            ("passed", "PASS", "UNSUBMITTED", "USA"),
+            ("pending", "PENDING", "UNSUBMITTED", "USA"),
+            ("missing", None, "UNSUBMITTED", "USA"),
+        ]:
+            checks = [{"name": "LOW_SHARPE", "result": "PASS"}]
+            if result:
+                checks.append({"name": "REGULAR_SUBMISSION", "result": result})
+            await upsert_alpha(db, alpha(name, status=status, settings={"region": region}, **{"is": {"checks": checks}}))
+    query = "submission_blocked=true&region=USA&check_type=PRE_CHECK&sort=id&direction=asc&limit=1&offset=1"
+    response = await logged_in.get(f"/api/v1/alphas?{query}")
+    assert response.status_code == 200
+    assert response.json()["total"] == 2
+    assert [row["id"] for row in response.json()["items"]] == ["blocked2"]
+    export = await logged_in.get(f"/api/v1/alphas/export?{query}")
+    assert [row["id"] for row in csv.DictReader(io.StringIO(export.text.lstrip("\ufeff")))] == ["blocked1", "blocked2"]
+    assert (await logged_in.get("/api/v1/alphas?submission_blocked=true&submission=SUBMITTED")).json()["total"] == 0
+    assert (await logged_in.get("/api/v1/alphas?submission_blocked=true&q=blocked1")).json()["total"] == 1
+    async with app.state.sessions.begin() as db:
+        await upsert_alpha(db, alpha("blocked1", **{"is": {"checks": [{"name": "REGULAR_SUBMISSION", "result": "PASS"}]}}))
+    assert (await logged_in.get("/api/v1/alphas?submission_blocked=true&q=blocked1")).json()["total"] == 0
+
+
+def test_explicit_check_refreshes_limit_independently_of_quality():
+    for checked in (False, True):
+        for result, blocked in [("FAIL", True), ("PASS", False), ("PENDING", False)]:
+            columns = snapshot_columns({}, {}, [{"name": "LOW_SHARPE", "result": "PASS"},
+                                               {"name": "REGULAR_SUBMISSION", "result": result}], checked=checked)
+            assert columns["submission_blocked"] is blocked
+            assert columns["check_type"] == ("PASS" if checked else "PRE_CHECK")

backend/tests/test_submission_limit_migration.py

@@ -0,0 +1,52 @@
+"""Upgrade cached classifications across batches while preserving platform evidence."""
+
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+
+from app.models import now
+
+
+def test_limit_migration_is_reversible_and_preserves_snapshots(tmp_path, monkeypatch):
+    path = tmp_path / "limits.db"
+    monkeypatch.setenv("DATABASE_URL", f"sqlite+aiosqlite:///{path}")
+    monkeypatch.setenv("ADMIN_PASSWORD", "migration-test-only")
+    monkeypatch.setenv("ENCRYPTION_KEY", Fernet.generate_key().decode())
+    monkeypatch.setenv("WQ_EMAIL", "")
+    monkeypatch.setenv("WQ_PASSWORD", "")
+    root = Path(__file__).resolve().parents[1]
+    config = Config(str(root / "alembic.ini"))
+    config.set_main_option("script_location", str(root / "migrations"))
+    command.upgrade(config, "0017")
+    engine = sa.create_engine(f"sqlite:///{path}")
+    table = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+    limit = {"name": "REGULAR_SUBMISSION", "result": "FAIL"}
+    patterns = [
+        ([{"name": "PROD_CORRELATION", "result": "PASS"}, limit], "FAIL_1", "PASS"),
+        ([{"name": "LOW_SHARPE", "result": "FAIL"}, limit], "FAIL_2", "FAIL_1"),
+        ([limit], "FAIL_1", "PENDING"),
+        ([{"name": "LOW_SHARPE", "result": "PASS"}, limit], "FAIL_1", "PRE_CHECK"),
+        ([{"name": "UNKNOWN", "result": "FAIL"}], "FAIL_1", "FAIL_1"),
+    ]
+    with engine.begin() as db:
+        db.execute(table.insert(), [
+            {"id": f"old{i:04}", "hidden": False, "settings": {}, "os_metrics": {},
+             "is_metrics": {"checks": patterns[i % 5][0]}, "checks": patterns[i % 5][0],
+             "check_type": patterns[i % 5][1], "synced_at": now(),
+             "raw": {"is": {"checks": patterns[i % 5][0]}}}
+            for i in range(503)
+        ])
+    for version, position in [("0018", 2), ("0017", 1), ("0018", 2)]:
+        (command.upgrade if version == "0018" else command.downgrade)(config, version)
+        with engine.connect() as db:
+            rows = db.execute(sa.select(table).order_by(table.c.id)).mappings().all()
+            assert len(rows) == 503
+            for i, row in enumerate(rows):
+                assert row["check_type"] == patterns[i % 5][position]
+                assert row["checks"] == row["is_metrics"]["checks"] == row["raw"]["is"]["checks"] == patterns[i % 5][0]
+    command.upgrade(config, "head")
+    command.check(config)
+    engine.dispose()

backend/tests/test_submission_limits.py

@@ -0,0 +1,76 @@
+"""Submission limits must not disqualify an otherwise passing Alpha."""
+
+import pytest
+
+from app.alphas import failed_checks, snapshot_columns
+
+LIMIT = {"name": "REGULAR_SUBMISSION", "result": "FAIL", "value": 4, "limit": 4}
+
+
+@pytest.mark.parametrize("checks,expected", [
+    ([{"name": "PROD_CORRELATION", "result": "PASS"}], "PRE_CHECK"),
+    ([{"name": "LOW_SHARPE", "result": "PASS"}], "PRE_CHECK"),
+    ([{"name": "LOW_SHARPE", "result": "FAIL"}], "FAIL_1"),
+    ([], "PENDING"),
+    ([None], "PENDING"),
+    ([{"name": "UNKNOWN_CHECK", "result": "FAIL"}], "FAIL_1"),
+    ([{"name": "PROD_CORRELATION", "result": "PENDING"}], "PRE_CHECK"),
+])
+def test_limit_does_not_change_alpha_verdict(checks, expected):
+    original = [*checks, LIMIT]
+    assert snapshot_columns({}, {}, original)["check_type"] == expected
+    assert "REGULAR_SUBMISSION" not in failed_checks(original)
+    assert original[-1] == LIMIT
+
+
+@pytest.mark.parametrize("result", ["PASS", "PENDING", "WARNING", "UNRECOGNIZED"])
+def test_all_limit_states_are_separate(result):
+    from app.alphas import check_summary
+
+    checks = [{"name": "PROD_CORRELATION", "result": "PASS"}, {**LIMIT, "result": result}]
+    summary = check_summary(checks, check_type="PASS")
+    assert summary["check_type"] == "PASS"
+    assert summary["submission_limits"]["status"] == ("not_blocked" if result == "PASS" else "unknown")
+
+
+def test_research_and_mcp_evidence_keep_limits_separate():
+    from types import SimpleNamespace
+
+    from app.research.evaluations import assess
+    from app.research_access.queries import checks_summary
+
+    snapshot = {"is": {"sharpe": 2, "fitness": 2, "turnover": 0.1,
+                       "checks": [{"name": "PROD_CORRELATION", "result": "PASS"}, LIMIT]}}
+    rules = SimpleNamespace(sharpe_min=1, fitness_min=1, turnover_max=0.5)
+    finding = assess(snapshot, rules)
+    assert finding["verdict"] == "pass" and finding["failed"] == []
+    assert finding["existing_platform_checks"] == snapshot["is"]["checks"]
+    assert finding["submission_limits"]["status"] == "blocked"
+    summary = checks_summary(snapshot)
+    assert summary["counts"]["FAIL"] == 0 and summary["total"] == 1
+    assert summary["non_pass"] == []
+    assert summary["submission_limits"] == [{"section": "is", "raw": LIMIT}]
+    snapshot["is"]["checks"] = [LIMIT]
+    assert assess(snapshot, rules)["verdict"] == "review"
+    assert checks_summary(snapshot)["status"] == "unknown"
+
+
+async def test_http_check_persists_limit_without_failing_alpha(app, logged_in, monkeypatch):
+    from app.models import Alpha
+    from tests import test_submission
+
+    checks = [{"name": "PROD_CORRELATION", "result": "PASS"}, LIMIT]
+    monkeypatch.setattr(test_submission, "CHECKS", checks)
+    await test_submission.setup(app)
+    response = await test_submission.enqueue(logged_in)
+    assert response.status_code == 202
+    await app.state.runner.execute(response.json()["id"])
+    async with app.state.sessions() as db:
+        item = await db.get(Alpha, "alpha1")
+        assert item.check_type == "PASS"
+        assert item.checks == item.is_metrics["checks"] == item.raw["is"]["checks"] == checks
+    state = (await logged_in.get("/api/v1/alphas/alpha1/submission")).json()
+    assert state["job"]["status"] == "completed"
+    assert state["check_summary"]["submission_limits"]["status"] == "blocked"
+    rows = (await logged_in.get("/api/v1/alphas?check_type=PASS")).json()["items"]
+    assert rows[0]["id"] == "alpha1" and rows[0]["failed_checks"] == []

backend/tests/test_submission_repeat.py

@@ -0,0 +1,23 @@
+"""A completed check can be repeated using its resulting review snapshot."""
+
+from tests.test_submission import FIELDS, Description, setup
+
+
+async def test_repeat_check_uses_resulting_snapshot_without_repatch(app, logged_in):
+    platform = await setup(app)
+    url = "/api/v1/alphas/alpha1/submission"
+    state = (await logged_in.get(url)).json()
+    job_ids = []
+    for _ in range(2):
+        response = await logged_in.post("/api/v1/alphas/alpha1/submission-check", json={
+            "snapshot": state["snapshot"], "descriptions": {"regular": Description(**FIELDS).text()},
+        })
+        assert response.status_code == 202
+        job_ids.append(response.json()["id"])
+        await app.state.runner.execute(job_ids[-1])
+        state = (await logged_in.get(url)).json()
+        assert state["job"]["status"] == "completed"
+        assert state["job"]["checkpoint"]["review_snapshot"] == state["snapshot"]
+    assert job_ids[0] != job_ids[1]
+    assert len(platform.patches) == 1
+    assert platform.calls.count(("GET", "/alphas/alpha1/check")) == 2

backend/tests/test_superalpha.py

@@ -0,0 +1,210 @@
+"""SUPER public HTTP/MCP acceptance using isolated persistence and synthetic upstream."""
+import asyncio
+from copy import deepcopy
+
+import pytest
+from fastapi import HTTPException
+from sqlalchemy import func, select
+
+from app.backtests.contracts import Candidate
+from app.models import SimulationAttempt, SuperSelectionSnapshot
+from app.superalpha.evidence import parse_components
+from tests.test_backtests import PARAMS, candidate, execute, preview, setup, start
+from tests.test_mcp import credentials, invoke, mcp_app  # noqa: F401
+
+SETTINGS = PARAMS | {"selectionHandling": "POSITIVE", "selectionLimit": 100, "componentActivation": "IS"}
+
+
+def super_candidate(index=0, **changes):
+    return {"client_item_id": f"super-{index}", "alpha_type": "SUPER", "selection": f"turnover < {0.1 + index / 10}", "combo": "alpha", "settings": SETTINGS} | changes
+
+
+def plan(**changes):
+    return {"name": "Super 研究", "hypothesis": "降低组件换手", "selection": "turnover < {threshold}", "combo": "alpha", "variables": {"threshold": {"kind": "number", "values": [0.1, 0.2]}}, "settings": SETTINGS, "include_baseline": True} | changes
+
+
+async def test_plan_selection_build_versions_and_generic_run(app, logged_in):
+    platform, lane = await setup(app)
+    body = {"plan": plan(), "idempotency_key": "save1"}
+    saved = (await logged_in.post("/api/v1/superalpha/plans", json=body)).json()
+    assert saved["version"] == 1, saved
+    assert (await logged_in.post("/api/v1/superalpha/plans", json=body)).json() == saved
+    selection = {"selection": "turnover < 0.1", "settings": SETTINGS, "plan_id": saved["id"], "version": 1}
+    job = (await logged_in.post("/api/v1/superalpha/selections", json=selection)).json()
+    assert (await logged_in.post("/api/v1/superalpha/selections", json=selection)).json()["job_id"] == job["job_id"]
+    await app.state.runner.run_next()
+    snap = (await logged_in.get(f"/api/v1/superalpha/selections?job_id={job['job_id']}&limit=1")).json()
+    assert snap["complete"] and snap["has_more"] and snap["total"] == 2, snap
+    assert len(platform.selection_reads) == 1 and not platform.posts
+    assert set(platform.selection_reads[0]) == {"selection", "instrumentType", "region", "delay", "selectionLimit", "selectionHandling"}
+    build = {"plan_id": saved["id"], "version": 1, "selection_snapshot_ids": [snap["snapshot_id"]], "idempotency_key": "build1"}
+    exp = (await logged_in.post("/api/v1/superalpha/candidates", json=build)).json()
+    assert exp["total"] == 4, exp
+    assert (await logged_in.post("/api/v1/superalpha/candidates", json=build)).json() == exp
+    # A subset keeps the original experiment's evidence without claiming it applies to every candidate.
+    p = await logged_in.post(f"/api/v1/superalpha/experiments/{exp['id']}/preview", json={"candidate_ids": ["super-2", "super-2-baseline"]})
+    assert p.status_code == 200, p.text
+    assert p.json()["batch_count"] == 2 and not platform.posts
+    rid = (await start(logged_in, p.json()))["backtest_run_id"]
+    await execute(app, lane, rid)
+    result = (await logged_in.get(f"/api/v1/backtests/runs/{rid}/results")).json()
+    assert all(i["persistence_status"] == "saved" and i["alpha_type"] == "SUPER" for i in result["items"]), result
+    assert len(platform.posts) == 2 and all(len(p) == 1 for p in platform.posts)
+    item = result["items"][0]
+    actual = (await logged_in.get(f"/api/v1/backtests/items/{item['id']}/artifact?kind=components")).json()
+    assert actual["complete"] and actual["source"] == "actual" and actual["snapshot_id"] != snap["snapshot_id"]
+    assert actual["component_hash"] == snap["component_hash"]
+    alpha = (await logged_in.get(f"/api/v1/superalpha/alphas/{item['alpha_id']}")).json()
+    assert alpha["descriptions"]["combo"] == "Combo rationale"
+    assert alpha["sources"]["items"][0]["source"]["superalpha_plan_version"] == 1
+    changed = body | {"plan": plan(name="修订"), "plan_id": saved["id"], "version": 1, "idempotency_key": "save2"}
+    assert (await logged_in.post("/api/v1/superalpha/plans", json=changed)).json()["version"] == 2
+    assert (await logged_in.post("/api/v1/superalpha/plans", json=changed | {"idempotency_key": "save3"})).status_code == 409
+    assert (await logged_in.delete(f"/api/v1/superalpha/plans/{saved['id']}?version=2")).status_code == 200
+    assert (await logged_in.get(f"/api/v1/superalpha/plans/{saved['id']}?version=1")).json()["content"]["name"] == "Super 研究"
+    rows = (await logged_in.get(f"/api/v1/superalpha/experiments/{exp['id']}/results")).json()
+    assert rows["total"] == 2 and rows["items"][0]["pnl_fetched_at"] is None
+    async with app.state.sessions() as db:
+        assert await db.scalar(select(func.count()).select_from(SuperSelectionSnapshot)) == 3
+
+
+async def test_mixed_run_isolation_facets_export_and_strict_match(app, logged_in):
+    platform, lane = await setup(app)
+    p = await preview(logged_in, [candidate(0), candidate(1), super_candidate(), super_candidate(1)])
+    assert p["batch_count"] == 3
+    rid = (await start(logged_in, p))["backtest_run_id"]
+    await execute(app, lane, rid)
+    assert len(platform.posts) == 3
+    results = (await logged_in.get(f"/api/v1/backtests/runs/{rid}/results")).json()["items"]
+    assert all(i["persistence_status"] == "saved" for i in results), results
+    for scope, kind in (("super", "SUPER"), ("non_super", "REGULAR")):
+        page = (await logged_in.get(f"/api/v1/alphas?management_scope={scope}")).json()
+        assert page["total"] == 2 and all(i["alpha_type"] == kind for i in page["items"])
+        facets = (await logged_in.get(f"/api/v1/alphas/facets?management_scope={scope}")).json()
+        assert facets["alpha_type"] == [kind], facets
+        export = await logged_in.get(f"/api/v1/alphas/export?management_scope={scope}")
+        assert export.status_code == 200
+        assert all(i["alpha_id"] in export.text for i in results if i["alpha_type"] == kind)
+        assert all(i["alpha_id"] not in export.text for i in results if i["alpha_type"] != kind)
+    rid2 = (await start(logged_in, await preview(logged_in, [super_candidate(9)]), "mismatch"))["backtest_run_id"]
+    async with app.state.sessions() as db:
+        aid = await db.scalar(select(SimulationAttempt.id).where(SimulationAttempt.run_id == rid2))
+    await lane.step(aid)
+    next(reversed(platform.alphas.values()))["combo"]["code"] = "WRONG"
+    await lane.step(aid)
+    row = (await logged_in.get(f"/api/v1/backtests/runs/{rid2}/results")).json()["items"][0]
+    assert row["persistence_status"] != "saved"
+    assert (await logged_in.get("/api/v1/backtests/runs?alpha_type=SUPER")).json()["total"] == 2
+
+
+@pytest.mark.parametrize("reject", ["unknown", "missing_location", "rate"])
+async def test_super_reliability_no_unknown_resubmission(app, logged_in, reject):
+    platform, lane = await setup(app)
+    platform.reject = reject
+    rid = (await start(logged_in, await preview(logged_in, [super_candidate()])))["backtest_run_id"]
+    async with app.state.sessions() as db:
+        aid = await db.scalar(select(SimulationAttempt.id).where(SimulationAttempt.run_id == rid))
+    for _ in range(app.state.settings.retry_attempts + 1):
+        await lane.step(aid)
+        await asyncio.sleep(0.02)
+    if reject == "rate":
+        assert len(platform.posts) == app.state.settings.retry_attempts
+    else:
+        await lane.start()
+        await lane.stop()
+        await logged_in.post(f"/api/v1/backtests/runs/{rid}/control", json={"action": "recover", "version": 1})
+        await lane.step(aid)
+        assert len(platform.posts) == 1
+
+
+async def test_unknown_components_and_recovery(app, logged_in):
+    platform, lane = await setup(app)
+    platform.actual_components = None
+    platform.detail_fail = True
+    rid = (await start(logged_in, await preview(logged_in, [super_candidate()])))["backtest_run_id"]
+    ids = await execute(app, lane, rid)
+    platform.detail_fail = False
+    await logged_in.post(f"/api/v1/backtests/runs/{rid}/control", json={"action": "recover", "version": 1})
+    await lane.step(ids[0])
+    item = (await logged_in.get(f"/api/v1/backtests/runs/{rid}/results")).json()["items"][0]
+    assert item["persistence_status"] == "saved" and len(platform.posts) == 1
+    components = (await logged_in.get(f"/api/v1/backtests/items/{item['id']}/artifact?kind=components")).json()
+    assert components["complete"] is False and components["component_hash"] is None
+
+
+async def test_sampling_validation_and_component_evidence(app, logged_in):
+    await setup(app)
+    for invalid in (super_candidate(selection=" "), super_candidate(combo=""), super_candidate(expression="close"), super_candidate(settings=PARAMS)):
+        with pytest.raises(ValueError):
+            Candidate.model_validate(invalid)
+    assert (await logged_in.get("/api/v1/superalpha/selections")).status_code == 422
+    assert parse_components({"count": 0, "results": []})["complete"]
+    for raw in (["a"], {"count": 2, "results": ["a"]}, {"count": 2, "results": ["a", "a"]}, {"count": 1, "results": ["a"], "next": "next"}):
+        assert not parse_components(raw)["complete"]
+    complete = parse_components({"count": 1, "results": ["a"], "warnings": ["synthetic warning"]})
+    assert complete["complete"] and complete["warnings"] == ["synthetic warning"]
+    args = {"plan": plan(variables={"threshold": {"kind": "number", "values": list(range(100))}}), "mode": "random", "limit": 5, "seed": 42, "idempotency_key": "random1"}
+    a = (await logged_in.post("/api/v1/superalpha/candidates", json=args)).json()
+    b = (await logged_in.post("/api/v1/superalpha/candidates", json=args | {"idempotency_key": "random2"})).json()
+    assert a["candidates"] == b["candidates"] and a["total"] == 10
+    bad = deepcopy(args)
+    bad["plan"]["setting_variants"] = {"selectionLimit": [0]}
+    assert (await logged_in.post("/api/v1/superalpha/candidates", json=bad)).status_code == 422
+
+
+async def test_mcp_interop_permissions_inline_and_sources(mcp_app):  # noqa: F811
+    app = mcp_app
+    principal, _ = await credentials(app, {"research:read", "research:write", "research:refresh", "backtests:execute"})
+    saved = await invoke(app, principal, "save_superalpha_plan", {"plan": plan(), "idempotency_key": "mcp-plan"})
+    built = await invoke(app, principal, "build_superalpha_candidates", {"plan_id": saved["id"], "version": 1, "idempotency_key": "mcp-build"})
+    assert not built["starts_backtests"] and built["total"] == 4
+    assert (await invoke(app, principal, "get_superalpha_plan", {"experiment_id": built["id"], "limit": 1}))["has_more"]
+    submit = {"name": "MCP SUPER", "candidates": built["candidates"][:1], "source": {"research_id": built["id"], "superalpha_plan_id": saved["id"], "superalpha_plan_version": 1}, "duplicate_policy": "rerun", "idempotency_key": "mcp-run"}
+    result = await invoke(app, principal, "submit_backtests", submit)
+    assert result == await invoke(app, principal, "submit_backtests", submit)
+    rid = result["backtest_run_id"]
+    await execute(app, app.state.runner.backtests, rid)
+    results = await invoke(app, principal, "get_backtest_results", {"run_id": rid})
+    item = results["items"][0]
+    assert item["persistence_status"] == "saved", results
+    alpha = await invoke(app, principal, "get_superalpha", {"alpha_id": item["alpha_id"]})
+    assert alpha["alpha_type"] == "SUPER" and "#superalphas?" in alpha["web_url"]
+    forged = deepcopy(submit)
+    forged["idempotency_key"] = "forged"
+    forged["candidates"][0]["combo"] = "WRONG"
+    assert (await app.state.mcp.invoke(principal, "submit_backtests", forged)).is_error
+    direct = submit | {"source": {}, "candidates": [super_candidate(9)], "idempotency_key": "direct"}
+    assert (await invoke(app, principal, "submit_backtests", direct))["source"]["superalpha_plan_id"] is None
+    readonly, _ = await credentials(app, {"research:read"})
+    with pytest.raises(HTTPException) as exc:
+        await app.state.mcp.invoke(readonly, "save_superalpha_plan", {"plan": plan(), "idempotency_key": "denied"})
+    assert exc.value.status_code == 403
+
+
+async def test_metadata_stage_constraints_selection_recovery_and_cancel(app, logged_in):
+    from app.catalog.research_metadata import ResearchMetadata
+    from app.models import Job
+    from app.superalpha.jobs import run_selection
+    platform, _ = await setup(app)
+    async with app.state.sessions.begin() as db:
+        await ResearchMetadata(db).publish("settings", "settings", {"items": [{"instrument_type": "EQUITY", "region": "USA", "delay": 1, "universe": "TOP3000", "neutralizations": ["INDUSTRY"], "fields": {"selectionLimit": {"maximum": 50}}}]})
+        await ResearchMetadata(db).publish("operators", "operators", {"items": [
+            {"name": "combo_a", "category": "Combo", "scope": ["COMBO"]},
+            {"name": "not_combo", "category": "Other", "scope": ["UNKNOWN_COMBO"]},
+            {"name": "unspecified", "category": "Other", "scope": None}]})
+    assert (await logged_in.post("/api/v1/superalpha/plans", json={"plan": plan(), "idempotency_key": "bad-settings"})).status_code == 422
+    p = await logged_in.post("/api/v1/backtests/previews", json={"inline": {"name": "bad", "candidates": [super_candidate()]}})
+    assert p.status_code == 422
+    assert [o["name"] for o in (await logged_in.get("/api/v1/catalog/operators?stage=COMBO")).json()["items"]] == ["combo_a"]
+    payload = {"selection": "turnover", "settings": SETTINGS | {"selectionLimit": 50}}
+    job = (await logged_in.post("/api/v1/superalpha/selections", json=payload)).json()
+    await app.state.runner.run_next()
+    await run_selection(app.state.runner, job["job_id"], payload)  # Restart after commit preserves evidence.
+    assert len(platform.selection_reads) == 1
+    cancelled = (await logged_in.post("/api/v1/superalpha/selections", json=payload)).json()
+    async with app.state.sessions.begin() as db:
+        (await db.get(Job, cancelled["job_id"])).cancel_requested = True
+    await app.state.runner.run_next()
+    async with app.state.sessions() as db:
+        assert (await db.get(Job, cancelled["job_id"])).status == "cancelled"
+        assert await db.scalar(select(func.count()).select_from(SuperSelectionSnapshot)) == 1

backend/tests/test_template_scope_migration.py

@@ -0,0 +1,87 @@
+"""Retire template scope once in storage, without a runtime compatibility path."""
+
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+from sqlalchemy.orm import Session
+
+from app.models import (
+    Account,
+    ResearchAsset,
+    ResearchExperiment,
+    ResearchFlowRun,
+    ResearchRequest,
+    ResearchRevision,
+    ResearchStepRun,
+)
+from app.research.workspace_contracts import FeatureSpec, TemplateSpec
+
+
+def test_remove_template_scope_preserves_execution_scopes_and_all_versions(tmp_path, monkeypatch):
+    database = tmp_path / "template-scopes.db"
+    monkeypatch.setenv("DATABASE_URL", f"sqlite+aiosqlite:///{database}")
+    monkeypatch.setenv("ADMIN_PASSWORD", "migration-test-only")
+    monkeypatch.setenv("ENCRYPTION_KEY", Fernet.generate_key().decode())
+    monkeypatch.setenv("WQ_EMAIL", "")
+    monkeypatch.setenv("WQ_PASSWORD", "")
+    root = Path(__file__).resolve().parents[1]
+    config = Config(str(root / "alembic.ini"))
+    config.set_main_option("script_location", str(root / "migrations"))
+    command.upgrade(config, "0022")
+    engine = sa.create_engine(f"sqlite:///{database}")
+    scope = {"instrument_type": "EQUITY", "region": "EUR", "universe": "TOP2500", "delay": 1}
+    clean = {"name": "template", "expression": "rank({scope})", "description": "scope is also a variable name",
+             "variables": {"scope": {"kind": "field", "field_type": "MATRIX", "values": []}}}
+    old = {**clean, "scope": scope}
+    feature = {"name": "feature", "hypothesis": "test", "template": old}
+    clean_feature = {**feature, "template": clean}
+    payload = {"template": {"id": "a", "version": 1, "content": old}, "feature": {"content": feature},
+               "inputs": [{"scope": scope, "field_ids": ["close"]}], "scope": scope,
+               "bindings": {"scope": "close"}, "items": [old, None, "unchanged"]}
+    expected = {**payload, "template": {**payload["template"], "content": clean},
+                "feature": {"content": clean_feature}, "items": [clean, None, "unchanged"]}
+    with Session(engine) as db, db.begin():
+        db.add(Account(id=1))
+        db.add_all([ResearchAsset(id="a", kind="template", name="template", version=501),
+                    ResearchAsset(id="b", kind="feature", name="feature", version=2)])
+        db.flush()
+        db.add_all([ResearchRevision(asset_id="a", version=i, content={**old, "scope": scope if i % 2 else None},
+                                    provenance=payload) for i in range(1, 502)])
+        db.add_all([ResearchRevision(asset_id="b", version=i, content=feature, provenance=payload) for i in (1, 2)])
+        db.add(ResearchExperiment(id="experiment", name="test", kind="template", hypothesis="test",
+                                  inputs=payload["inputs"], parents=[payload], candidates=[{"settings": scope}], evidence=payload))
+        db.add(ResearchFlowRun(id="flow", request_id="request", name="test", definition=payload, authorization=payload))
+        db.flush()
+        db.add(ResearchStepRun(id="step", run_id="flow", node_id="expand", round=1, output=payload))
+        db.add(ResearchRequest(id="request", account_id=1, operation="create_research_template",
+                               idempotency_key="key", digest="a" * 64, business_id="a", response=payload))
+    # Include every stored column in the comparison, not just the removed key.
+    tables = {name: sa.Table(name, sa.MetaData(), autoload_with=engine) for name in (
+        "research_revisions", "research_experiments", "research_flow_runs", "research_step_runs", "research_requests",
+    )}
+    def snapshots():
+        with engine.connect() as db:
+            return {name: [dict(row) for row in db.execute(sa.select(table).order_by(*table.primary_key.columns)).mappings()]
+                    for name, table in tables.items()}
+    before = snapshots()
+    wanted = {name: [dict(row) for row in rows] for name, rows in before.items()}
+    for row in wanted["research_revisions"]:
+        row.update(content=clean if row["asset_id"] == "a" else clean_feature, provenance=expected)
+    wanted["research_experiments"][0].update(evidence=expected, parents=[expected])
+    wanted["research_flow_runs"][0].update(definition=expected, authorization=expected)
+    wanted["research_step_runs"][0].update(output=expected)
+    wanted["research_requests"][0].update(response=expected)
+    command.upgrade(config, "head")
+    assert snapshots() == wanted
+    for row in wanted["research_revisions"]:
+        (TemplateSpec if row["asset_id"] == "a" else FeatureSpec).model_validate(row["content"])
+    # Downgrade does not invent the deleted metadata; re-upgrade is idempotent.
+    command.downgrade(config, "0022")
+    assert snapshots() == wanted
+    command.upgrade(config, "head")
+    assert snapshots() == wanted
+    command.check(config)
+    engine.dispose()

compose.production.yaml

@@ -1,6 +1,17 @@
 # Independent production configuration; do not merge with compose.yaml.
 name: wq-alpha-production
 
+x-observability-labels: &observability-labels
+  observability.logs: "true"
+  observability.project: "wq-alpha"
+  observability.env: "production"
+
+x-container-logging: &container-logging
+  driver: json-file
+  options:
+    max-size: "20m"
+    max-file: "5"
+
 x-backend: &backend
   image: wq-alpha-production-backend:${DEPLOY_TAG:-local}
   build:
@@ -21,13 +32,15 @@ x-backend: &backend
     AI_OUTPUT_TOKENS: ${AI_OUTPUT_TOKENS:-4096}
     AI_TIMEOUT: ${AI_TIMEOUT:-180}
     WQ_BASE_URL: ${WQ_BASE_URL:-https://api.worldquantbrain.com}
-  networks:
-    - default
-    - database
+  # Reach the remote PostgreSQL endpoint through the default network's egress.
 
 services:
   backend:
     <<: *backend
+    labels:
+      <<: *observability-labels
+      observability.service: "backend"
+    logging: *container-logging
     # Migration is run separately with all application writers stopped.
     command: [uvicorn, 'app.main:create_app', --factory, --host, 0.0.0.0, --port, '8000', --workers, '1', --proxy-headers]
     healthcheck:
@@ -40,10 +53,18 @@ services:
     restart: unless-stopped
   migrate:
     <<: *backend
+    labels:
+      <<: *observability-labels
+      observability.service: "migrate"
+    logging: *container-logging
     profiles: [jobs]
     command: [alembic, upgrade, head]
     restart: 'no'
   web:
+    labels:
+      <<: *observability-labels
+      observability.service: "web"
+    logging: *container-logging
     image: wq-alpha-production-web:${DEPLOY_TAG:-local}
     build:
       context: .
@@ -66,10 +87,6 @@ services:
       start_period: 10s
     restart: unless-stopped
 
-networks:
-  database:
-    external: true
-    name: ${DATABASE_NETWORK:?Set the existing PostgreSQL Docker network}
 volumes:
   caddy_data:
   caddy_config:

docs/deployment-gitea.md

@@ -1,6 +1,8 @@
 # Gitea 生产部署
 
-本方案在目标 Linux 服务器上由已有 Gitea Runner 构建并启动 Docker Compose，复用已有 PostgreSQL。入口绑定 `127.0.0.1:8112`，由宿主机反向代理提供公网 HTTPS。现有 `compose.yaml`、`compose.public.yaml` 保持独立，不与生产文件叠加。
+本方案使用两台服务器：A 服务器托管 Gitea 和项目仓库；B 服务器运行 `tencent-prod-runner`，拉取 A 上的 `prod` 分支代码，在 B 上构建镜像并启动 Docker Compose。工作流通过标签 `tencent-prod` 选择该运行器。
+
+PostgreSQL 位于独立数据库服务器或云数据库，B 上的应用通过 `DATABASE_URL` 访问它，不依赖同机数据库容器或外部 Docker 网络。应用入口绑定 **B 服务器**的 `127.0.0.1:8112`，由 B 的宿主机反向代理提供公网 HTTPS。现有 `compose.yaml`、`compose.public.yaml` 保持独立，不与生产文件叠加。
 
 ## 1. 填写配置和数据库账号密码
 
@@ -8,22 +10,23 @@
 
 | 位置 | 名称 | 填写内容 |
 | --- | --- | --- |
-| Secrets（必填） | `DATABASE_URL` | `postgresql+asyncpg://数据库账号:数据库密码@数据库网络别名:5432/数据库名` |
+| Secrets（必填） | `DATABASE_URL` | `postgresql+asyncpg://数据库账号:数据库密码@远程数据库域名或IP:端口/数据库名`，地址须能从 B 的应用容器访问 |
 | Secrets（必填） | `ADMIN_PASSWORD` | 系统初始管理员密码，至少 12 字符，与数据库密码独立 |
 | Secrets（必填） | `ENCRYPTION_KEY` | 下面命令生成的 Fernet 密钥，升级保持不变 |
 | Secrets（必填） | `WQ_EMAIL` | WorldQuant 登录邮箱 |
 | Secrets（必填） | `WQ_PASSWORD` | WorldQuant 登录密码，按原样填写，不加引号 |
-| Variables（必填） | `DATABASE_NETWORK` | PostgreSQL 所在的现有 Docker 网络，例如 `1panel-network` |
 | Variables（必填） | `PUBLIC_ORIGIN` | 实际 HTTPS 来源，例如 `https://alpha.your-domain.com`，不带路径或末尾 `/` |
 | Variables（可选） | `ADMIN_USERNAME` | 初始管理员账号，默认 `admin` |
 | Variables（可选） | `MCP_ENABLED` | 设置 `true` 启用 MCP；未配置时默认关闭 |
 
-端口与 AI 限制使用 `compose.production.yaml` 的默认值，不需要在 Gitea 配置：`WEB_PORT=8112`、`AI_REQUEST_LIMIT=12`、`AI_TOOL_LIMIT=12`、`AI_OUTPUT_TOKENS=4096`、`AI_TIMEOUT=180`。需要调整时修改 Compose 中对应默认值；工作流不再读取这些同名 Gitea Variables。
+端口与 AI 限制使用 `compose.production.yaml` 的默认值，不需要在 Gitea 配置：`WEB_PORT=8112`、`AI_REQUEST_LIMIT=12`、`AI_TOOL_LIMIT=12`、`AI_OUTPUT_TOKENS=4096`、`AI_TIMEOUT=180`。需要调整时修改 Compose 中对应默认值；工作流不再读取这些同名 Gitea Variables。原有 `DATABASE_NETWORK` 不再使用，无需在 B 上创建同名外部网络。
+
+已配置的 `PROD_SSH_KEY`、`PROD_HOST`、`PROD_PORT`、`PROD_USER`、`PROD_KNOWN_HOSTS` 可以继续保留供远程运维使用。本流程由 B 的 Runner 直接部署，不读取这些 SSH Secrets；镜像在 B 本机构建和使用，也不读取 `REGISTRY_USERNAME`、`REGISTRY_PASSWORD`。
 
 数据库连接串示例（实际填写时替换示例值）：
 
 ```text
-postgresql+asyncpg://wq_user:YOUR_PASSWORD@postgresql:5432/wq_alpha
+postgresql+asyncpg://wq_user:YOUR_PASSWORD@db.example.com:5432/wq_alpha
 ```
 
 生成加密密钥：
@@ -34,7 +37,9 @@ python3 -c 'import base64,secrets; print(base64.urlsafe_b64encode(secrets.token_
 
 `DATABASE_URL` 的用户名和密码中的特殊字符须做 URL 百分号编码，例如 `@` → `%40`、`#` → `%23`、`/` → `%2F`、`%` → `%25`。在 Gitea 输入框填写值本身，不添加包裹引号，不填写 `DATABASE_URL=` 前缀。管理员密码中的 `$`、引号等按原样填写，由环境变量传递，无需 shell 转义。不要在日志打印变量，或开启 `set -x`。
 
-在现有 PostgreSQL 管理界面先创建专用数据库与账号，账号须可连接并拥有该库中应用 schema 的建表和迁移权限。确认网络存在、数据库别名可解析、PostgreSQL 允许该 Docker 网络访问。应用使用异步驱动 `asyncpg`；远程数据库或强制 TLS 的实例需另外按该实例的 TLS 配置调整连接参数，此模板默认同机 Docker 网络。
+在远程 PostgreSQL 管理界面先创建专用数据库与账号，账号须可连接并拥有该库中应用 schema 的建表和迁移权限。数据库安全组、白名单或防火墙须允许 B 的实际出口地址访问数据库端口，且 B 的应用容器须能解析并访问数据库地址；使用私网地址时先确保 B 与数据库的私网路由连通。不要在连接串中沿用只在 A 上可解析的数据库容器名，也不要使用 `localhost` 或 `127.0.0.1` 指向远程数据库。
+
+应用使用异步驱动 `asyncpg`；强制 TLS 或自定义 CA 的实例需按该实例要求配置兼容的连接参数及证书，不应直接假定其控制台提供的其他驱动连接串可用。部署脚本会在停止旧服务前，从 B 的后端容器进行真实数据库连接预检。
 
 如果从已有安装迁移数据，需恢复完整数据库并沿用原 `ENCRYPTION_KEY`；修改管理员环境变量不会重置已有管理员密码。
 
@@ -42,19 +47,27 @@ WorldQuant 凭据由环境变量管理，启动时加密写入数据库；页面
 
 ## 2. 配置 Gitea Runner
 
-沿用已成功部署 `zhixing-system` 的运行器标签 **`ubuntu-latest`**，无需注册新的 `wq-production` 运行器。该运行器的执行环境须能通过 Docker CLI/Compose 操作同一台 1Panel 服务器的 Docker daemon；可以复用现有 Docker 连接方式，不强制 host 模式。
+使用 B 服务器上已注册的 **`tencent-prod-runner`**，工作流的 `runs-on` 填写其标签 **`tencent-prod`**。只有 B 上用于生产部署的运行器应持有此标签。
+
+运行器的执行环境须通过 Docker CLI/Compose 操作 **B 宿主机的 Docker daemon**。可以沿用现有 host 或 Docker 执行模式：host 模式需要执行用户有权访问 B 的 Docker；容器模式需要部署步骤所在的作业容器能够访问 B 的 Docker socket（通常是 `/var/run/docker.sock`），且具有 Docker CLI/Compose。只给 Runner 管理容器挂载 socket 并不能证明作业容器内也可访问；不要将部署命令连接到 A 的远程 Docker 或临时 Docker-in-Docker 实例。
+
+Runner 注册的 Gitea 地址及仓库克隆地址必须能从 B 和作业执行环境访问，应使用 A 的实际域名或可达 IP；不能使用指向 A 本机的 `localhost`、`127.0.0.1` 或仅在 A 的 Docker 网络内可解析的容器名。
 
 执行环境需要 Git、Bash、Node.js 20（checkout v4）以及支持 `up --wait --wait-timeout` 的 Docker Compose。本流程不需要 `flock` 或预建 `/opt/wq-alpha`。服务器需能访问 checkout action、基础镜像仓库和依赖源。
 
-在仓库启用 Actions，`main` push 或手动运行会部署。Secrets 通过部署步骤的环境变量注入，`--env-file /dev/null` 防止误读开发 `.env`。构建可并行；构建完成后，以 Docker 唯一容器名 `wq-alpha-production-deploy-lock` 互斥保护预检、迁移和服务切换。锁容器不启动、不携带凭据，正常结束或失败时删除；竞争失败的任务不会删除其他任务的锁。
+在仓库启用 Actions，向 **`prod`** push 会部署；手动运行也须选择 **`prod`**，选择其他分支时本版工作流会跳过部署任务。Checkout 使用本次触发的提交，构建和迁移均在 B 的执行环境完成，无需 A 通过 SSH 再复制代码到 B。
+
+本次修改仅在 `prod` 分支。`main` 中的旧工作流仍配置为 `main` push → `ubuntu-latest`，不会随 `prod` 的修改自动停用；如需停用旧部署，须另行修改 `main` 的工作流。
+
+Secrets 仍在 A 的 Gitea 仓库设置中管理，通过部署步骤的环境变量注入 B 上的作业，`--env-file /dev/null` 防止误读开发 `.env`。构建可并行；构建完成后，以 B 的 Docker 唯一容器名 `wq-alpha-production-deploy-lock` 互斥保护预检、迁移和服务切换。锁容器不启动、不携带凭据，正常结束或失败时删除；竞争失败的任务不会删除其他任务的锁。
 
 如果 Runner 被强制终止或 Docker 断连，可能留下锁容器。先确认没有本项目部署正在执行，再手动运行 `docker rm wq-alpha-production-deploy-lock` 后重试。不要在部署进行时删除锁。
 
 ## 3. 配置反向代理并首次运行
 
-为 `PUBLIC_ORIGIN` 对应域名配置 HTTPS，转发至 **`http://127.0.0.1:8112`**（或你的 `WEB_PORT`）。代理须运行在宿主机网络中；独立 bridge 容器中的 `127.0.0.1` 不指向宿主机。若使用容器化 1Panel/OpenResty，先确认其网络模式。AI 流式响应需要关闭代理缓冲，并允许长连接/足够长的读取超时。
+将 `PUBLIC_ORIGIN` 对应域名解析到 **B 服务器**，在 B 配置 HTTPS 反向代理，转发至 **`http://127.0.0.1:8112`**（或你的 `WEB_PORT`）。此回环地址只对 B 本机有效；A 上的代理不能通过它访问 B。代理须运行在 B 的宿主机网络中；独立 bridge 容器中的 `127.0.0.1` 不指向宿主机。若使用容器化 1Panel/OpenResty，先确认其网络模式。AI 流式响应需要关闭代理缓冲，并允许长连接/足够长的读取超时。
 
-首次部署建议在 Gitea Actions 页面手动运行工作流。需要在服务器排障运行时，须先从安全渠道将上表必填配置注入当前进程环境，再执行：
+首次部署建议在 Gitea Actions 页面选择 **`prod`** 分支手动运行工作流，确认任务由 `tencent-prod-runner` 接收。需要在服务器排障运行时，在 **B 服务器的 `prod` 检出目录**中先从安全渠道将上表必填配置注入当前进程环境，再执行：
 
 ```bash
 bash scripts/deploy-production.sh
@@ -62,6 +75,8 @@ bash scripts/deploy-production.sh
 
 固定 Compose 项目名为 `wq-alpha-production`，后端保持一个实例、一个 worker。脚本先验证 Compose，构建按 Git 提交标记的镜像，再检查密钥格式和数据库连通性；随后停止 web/backend、执行一次性迁移、启动服务并等待健康检查。Web 健康检查同时覆盖页面和经 Caddy 转发的数据库健康接口。迁移或启动失败时非零退出并显示容器状态，不继续标记成功。
 
+从旧服务器切换时，若旧实例仍连接同一生产数据库，须在 B 上执行迁移前停止旧实例及其定时任务。脚本和部署锁只管理 B 上的容器，不会停止 A 上的旧应用，也不能协调两台服务器对同一数据库的迁移和写入。
+
 首次部署完成后，检查公网 `/api/v1/health`，再通过真实域名登录并确认页面、写请求和 Cookie 正常。容器健康通过不能替代 HTTPS、DNS 和真实 Gitea Runner 验收。
 
 ## 4. 升级、备份和失败处理
@@ -72,7 +87,7 @@ bash scripts/deploy-production.sh
 
 如旧代码与当前 schema 兼容，可检出旧提交并指定其镜像标签启动；否则先停止应用，使用经过验证的备份恢复数据库，再用原加密密钥和对应旧版本启动。数据库恢复会丢失备份后的写入，必须人工确认后执行。本配置没有自动数据库降级，也不承诺无停机升级。
 
-以下排查命令不依赖凭据环境变量（可能含业务信息的日志请勿公开）：
+以下排查命令在 **B 服务器**运行，不依赖凭据环境变量（可能含业务信息的日志请勿公开）：
 
 ```bash
 docker ps -a --filter label=com.docker.compose.project=wq-alpha-production
@@ -84,13 +99,13 @@ docker logs --tail=100 wq-alpha-production-web-1
 
 ## 配置依据
 
-采用 compound 经验 1 中的生产/开发隔离、显式外部网络、必填凭据、固定项目名、独立迁移和部署健康检查。未照搬旧项目端口、业务 Job 或卷权限初始化：本应用后端不写 named volume，已有镜像使用 UID 10001。
+生产/开发配置隔离，使用必填凭据、固定项目名、独立迁移和部署健康检查。生产服务使用 Compose 默认网络互通，并通过该网络访问远程 PostgreSQL；无需预建数据库 Docker 网络。本应用后端不写 named volume，已有镜像使用 UID 10001。
 
-凭据存放在 Gitea Secrets，通过步骤级环境变量交给 Compose，不落地到配置文件。Docker 容器仍需持有运行时配置，因此拥有 Runner 或 Docker 管理权限的人仍可能读取它们。若此前手动创建了旧 `.env.production`，新流程不再读取它；确认配置已迁移到 Gitea 并妥善备份密钥后可自行移除旧文件。相关官方资料：[Compose 外部网络](https://docs.docker.com/reference/compose-file/networks/)、[环境变量插值](https://docs.docker.com/compose/how-tos/environment-variables/variable-interpolation/)、[Gitea Runner 标签](https://gitea.com/gitea/runner/src/branch/main/README.md)。
+凭据存放在 Gitea Secrets，通过步骤级环境变量交给 Compose，不落地到配置文件。Docker 容器仍需持有运行时配置，因此拥有 Runner 或 Docker 管理权限的人仍可能读取它们。若此前手动创建了旧 `.env.production`，新流程不再读取它；确认配置已迁移到 Gitea 并妥善备份密钥后可自行移除旧文件。相关官方资料：[Compose 网络](https://docs.docker.com/compose/how-tos/networking/)、[环境变量插值](https://docs.docker.com/compose/how-tos/environment-variables/variable-interpolation/)、[Gitea Runner 2.x 标签](https://docs.gitea.com/runner/2/labels/)、[Gitea 分支上下文](https://docs.gitea.com/usage/actions/actions-variables/)。
 
 ## 5. 1Panel 夜间全量目录同步
 
-在 1Panel 的计划任务中建立 Shell 脚本任务，执行周期由 1Panel 设置，例如每天深夜执行。每次命令明确指定一个范围：
+在 **B 服务器**的 1Panel 计划任务中建立 Shell 脚本任务，执行周期由 1Panel 设置，例如每天深夜执行。每次命令明确指定一个范围：
 
 ```bash
 docker exec wq-alpha-production-backend-1 \

docs/mcp-research.md

@@ -54,7 +54,7 @@ python -m app.cli mcp-token-revoke TOKEN_ID
 | search_data_preparations | `{q?,scope_key?,limit?,offset?}`；查询可编辑集合及当前版本 |
 | get_data_preparation | `{id,version,q?,limit?,offset?}`；按版本分页预览字段与数据集归属，版本冲突重新选择 |
 | search_catalog | `{filters:{region,universe,delay,...},dataset_id?}`；省略 dataset_id 查数据集，提供则查字段 |
-| get_research_metadata | `{query:{kind,...}}`；kind 为 scopes/settings/operators/field_availability |
+| get_research_metadata | `{query:{kind,...}}`；kind 为 scopes/settings/operators/field_availability/superalpha |
 | refresh_research_data | `{query:{kind,...}}`；kind 为 catalog/operators/settings/field_availability/pnl |
 | get_submission_check | `{alpha_id}`；读取检查上下文、snapshot 和缓存结果，不发起检查 |
 | check_submission | `{alpha_id,snapshot,descriptions}`；写回已确认描述并异步检查，绝不正式提交；要求 research:refresh |
@@ -65,7 +65,7 @@ python -m app.cli mcp-token-revoke TOKEN_ID
 | submit_backtests | `{name,candidates,idempotency_key,preparation_refs?,duplicate_policy?,source?}` |
 | get_backtest | `{run_id,after?,event_limit?}`，after 为事件游标 |
 | get_backtest_results | `{run_id,item_ids?,limit?,offset?}` |
-| get_backtest_artifact | `{item_id,kind,limit?,offset?,date_from?,date_to?}`，kind 为 snapshot/pnl |
+| get_backtest_artifact | `{item_id,kind,limit?,offset?,date_from?,date_to?}`，kind 为 snapshot/pnl/components |
 | control_backtest | `{run_id,action,expected_version,idempotency_key}` |
 
 metadata 的 operators 支持 q/category 和分页；settings 支持分页；field_availability 要求 field_id 和 scope。refresh 的 catalog 要求 scope，可选 dataset_id；pnl 要求 alpha_ids；availability 与读取使用相同范围字段。目录和 PnL 刷新返回 job_id，查询不会隐式刷新；另外三种刷新最多等待 30 秒，成功只返回快照引用，完整内容用读取工具获取。失败不发布半成品。
@@ -192,3 +192,53 @@ MCP_TEST_DATABASE_URL=postgresql+asyncpg://USER:PASSWORD@127.0.0.1:PORT/wq_mcp_t
 该脚本执行迁移、并发提交/控制、重启重放、回退及重升级，不用于个人库或生产库。生产启用、真实平台兼容性、真实额度和客户端实际凭据配置仍需另行授权验证。本功能不会恢复任何定时研究。
 
 使用数据准备集合时，`preparation_refs` 为最多 20 个 `{id,version}`。提交时核对版本、范围和字段，固定独立快照并保存到回测来源；空集合或版本冲突不会创建运行。后续编辑或删除集合不影响回测。无需旧输入草稿接口。
+
+
+## Super Alpha 研究
+
+迁移 `0021` 增加回测项类型、Selection/Combo 和独立组件快照表。历史 REGULAR 回测保留原输入及结果；已有 SUPER 记录直接进入 **研究成果 → Super Alpha 管理**。原 Alpha 管理固定为非 SUPER，两个页面的列表、统计、筛选、导出、保存视图和列偏好区分类型，共用同一 Alpha 记录。
+
+**研究实验 → Super Alpha 研究** 支持方案版本、复制/归档、参数候选、设置候选、等权基线、Selection 预览和固定候选。候选勾选后进入通用回测预览及启动窗口。参数使用 `{name}`；变量不接受普通 Alpha 的 `field` 类型。全量展开默认上限 100，可调至 10000；随机模式使用固定种子。基线另列候选，包含基线后最多 10000 项。保存与构造不调用模型或启动回测。
+
+| 工具 | 权限与输入 |
+| --- | --- |
+| `search_superalpha_plans` | read；q/limit/offset |
+| `get_superalpha_plan` | read；plan_id/version 或 experiment_id/limit/offset |
+| `save_superalpha_plan` | write；plan/idempotency_key；更新同时提供 plan_id/version |
+| `preview_superalpha_selection` | refresh；展开后的 selection、完整 SUPER settings，可选 plan_id/version；立即返回 job_id |
+| `get_superalpha_selection` | read；snapshot_id 或 job_id，支持 q/limit/offset |
+| `build_superalpha_candidates` | write；plan_id/version 或内联 plan；mode、limit、seed、selection_snapshot_ids、idempotency_key |
+| `search_superalphas` | read；filters，服务端固定 SUPER 范围 |
+| `get_superalpha` | read；alpha_id，读取设置、指标、两个 Description、实际组件及研究来源 |
+
+权限名称分别为 `research:read`、`research:write`、`research:refresh`。`get_research_metadata({query:{kind:"superalpha"}})` 返回专属设置契约、文档属性和阶段信息；settings 查询可带 alpha_type，operators 可带 stage=SELECTION/COMBO。账户未返回的设置范围保持未知，文档属性不等于实时账户授权。
+
+外部模型自行构造方案后调用 save/build。构造返回 `candidates` 和 `submit_source`，分别传入 `submit_backtests.candidates` 和 `.source`；超过 100 项按构造记录分页读取，再按批次提交。每批使用独立幂等键，保留同一个 research_id。也可直接提交完整 SUPER 候选，不先保存方案：
+
+```json
+{
+  "name": "SUPER 等权对照",
+  "idempotency_key": "super-round-001",
+  "candidates": [{
+    "client_item_id": "equal-weight",
+    "alpha_type": "SUPER",
+    "selection": "turnover < 0.2",
+    "combo": "1",
+    "settings": {
+      "instrumentType": "EQUITY", "region": "USA", "universe": "TOP3000", "delay": 1,
+      "decay": 0, "neutralization": "INDUSTRY", "truncation": 0.08,
+      "pasteurization": "ON", "unitHandling": "VERIFY", "nanHandling": "OFF",
+      "language": "FASTEXPR", "visualization": false, "maxTrade": "OFF", "maxPosition": "OFF",
+      "selectionHandling": "POSITIVE", "selectionLimit": 100, "componentActivation": "IS"
+    }
+  }]
+}
+```
+
+这只是输入形态示例，地区和参数须依据实际元数据选择。回测沿用 `submit_backtests`、`get_backtest`、`get_backtest_results`、`get_backtest_artifact` 和 `control_backtest`。SUPER 每项单独 POST，共用账户并发及恢复机制；REGULAR 继续批量方式。提交回执未知时不会自动重发。`search_backtests` 可按 alpha_type、research_id 筛选；精确匹配覆盖类型、Selection、Combo 和完整设置。
+
+Selection 预览在通用后台任务中执行，进度用 `get_refresh_job` 查询，组件用 `get_superalpha_selection` 分页读取。预览请求遵循现有平台资料的六个查询字段：selection/instrumentType/region/delay/selectionLimit/selectionHandling。Universe 和 Combo 不会被假装应用到该只读查询；完整设置仍保存在观察记录中。
+
+预览和实际组件分开存储。`get_backtest_artifact(kind="components")` 仅返回当次实际组件证据；平台未提供完整成员列表时，complete=false、component_hash=null。未核实列表不能作为同池证据，即使预览曾返回完整组件。请求指纹覆盖实际模拟的完整输入，组件指纹覆盖排序后的完整 ID 集合；时间和来源单独记录。指标取当次固定快照，PnL 为单独采集的缓存，以 fetched_at 为准。
+
+验证入口：`uv run pytest -q tests/test_superalpha.py`、前端 `pnpm exec playwright test tests/superalpha.spec.ts`。专用本地 PostgreSQL 可执行 `SUPER_TEST_DATABASE_URL=.../wq_superalpha_test uv run python -m tests.superalpha_postgres`，验证迁移、历史记录兼容、完整闭环及并发保存幂等。脚本拒绝其他数据库名称或非本机地址。所有自动化验收均使用模拟平台；真实 SUPER 模拟须另行授权。

docs/worldquant-knowledge-base/01-alpha-ideas/data-template-cards.md

@@ -43,3 +43,17 @@ SUE 类方向的可迁移问题是“盈利变化相对于自身历史波动是
 dateCoverage 只是一项元数据，不告诉你缺失发生在哪几年，也不完整表达横截面质量；VECTOR 非空容器也可能没有有效元素。不要把社区的 40%/60%/80% 建议阈值当官方规则。检查逐年、逐区覆盖及事件时点，比固定门槛更重要。
 
 来源：[【平台新功能】字段新特征：datecoverage的介绍、应用与勘误。](https://support.worldquantbrain.com/hc/en-us/community/posts/37581194344215)（发帖 2026-01-10，社区经验）。
+
+## 2026-09-18 补充：代理变量与样本边界
+
+[搜索量转新闻密度的注意力反转帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43541109631895)（2026-09-16）用新闻事件密度代理搜索关注，作者报告 GBR 与 EUR 表现不同，EUR 变体 Fitness 均低于 1。新闻供给不等于投资者主动搜索，代理替换可能改变机制，应比较原代理、新闻量单腿及价格反转对照；这不是已验证的论文等价复现。
+
+[MAX 与彩票偏好帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43508107778711)（2026-09-15）报告滚动极端涨幅除以自身波动后，Sharpe 从 0.36 到 0.75，最大回撤从 48.96% 到 5.69%；缩短为 5 日窗口虽进一步提高指标，作者也承认与短期反转重叠。可保留“极值相对自身波动”的待验证假设，但窗口更短、更强不等于彩票机制更纯。本轮未复核论文、借券成本或原始回测，也不将标题中的“完整复现”当作已验证结论。
+
+[DEU 内部人信念强度帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43178926004887)（2026-09-02，本轮补录）提醒：稀疏事件填零后，大块相同排名可能代表没有事件，不能解释为经济信念中等。作者还报告有效持仓主要在 2018–2023，而较早年份为零；应以实际可投资区间评估结果。比较滚动和与均值时须核对有效观测数和缺失处理；完整固定窗口下两者只差常数，不能笼统断言换成均值必然丢失事件信息。原帖的 tail 阈值与性能改善仅是单例，不推广为稀疏数据通用模板。
+
+## 2026-09-25 补充：非线性变换与覆盖需要分开检验
+
+[EUR 财报电话会情绪概率差](https://support.worldquantbrain.com/hc/en-us/community/posts/43620895448343)（2026-09-20）报告 signed power 降相关，并描述早期稀疏截面造成权重集中。随附评论明确指出另一字段的成功不能证明“概率差 + signed_power”有效；应固定其余设置分别对照回填窗、覆盖和 truncation，拆开表达式变换与股票池变化。原帖指标属于作者自报，未复现。
+
+[ASI 借券费率方差案例](https://support.worldquantbrain.com/hc/en-us/community/posts/43624312881943)（2026-09-20）比较方差与标准差版本。即使同一有效样本下平方保持非负值的截面排序，后续线性缩放、中性化或权重处理也可能得到不同持仓，不能由“同一排序”推出整条策略等价。作者由少数 checks 推断的 robust 比率约 0.9 仅是其样本观察，不写成通用平台门槛；每次仍需读取实际 value、limit 和状态。

docs/worldquant-knowledge-base/01-alpha-ideas/relationship-and-extension-cards.md

@@ -63,3 +63,19 @@ ASI/TOP500 的 risk70 模板使用时间操作后按 exchange 中性化。来源
 ## 10. 当前优先级
 
 已有九月四张卡覆盖 SNR、机构拥挤、Wikipedia 关注和订单流。新补充方向优先选择“极性配对、同行相对位置、明确口径的实际/预测偏差”中你能取得完整数据的少量假设。优先级属于本库研究建议，未实际运行或比较这些方向的收益。
+
+## 2026-09-18 补充：差分、正交化与类别编码
+
+### 同源做差不会保证降低 PC
+
+[同源信号与噪声对冲](https://support.worldquantbrain.com/hc/en-us/community/posts/43501264459799)（2026-09-15）比较两条弱信号做差和两条强信号做差；[后续讨论](https://support.worldquantbrain.com/hc/en-us/community/posts/43536370604567)（2026-09-16）要求拆开两腿验证，但其中“做差一定会让 PC 下降”的说法不成立。数学反例：令 P 与 N 独立且方差相同，A=P+N、B=N，则 A 与 P 的相关系数为 1/√2，而 A−B 与 P 的相关系数为 1。对某些生产池成分，相关性反而会上升。
+
+保留的实验是 A、B、A−B 分别比较收益、成本、覆盖和与已有池的相关性；两腿都弱也不自动证明共享噪声被成功剥离，需要样本外和稳定性证据。[周频量价概率正交化案例](https://support.worldquantbrain.com/hc/en-us/community/posts/43500671638551)（2026-09-15）自报 Max Prod Corr 在加入运营效率控制后从 0.6806 升至 0.7068，再加国家中性化降至 0.6681。与指定控制变量正交，不等于与整个生产池低相关；作者还报告覆盖及收益损失，应把这些变化同时列入对照，不将单个检查过线称为新机制成立。
+
+### 分析师差分先对齐经济口径
+
+[analyst10 预期差异帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43524498271895)（2026-09-16）提出近远期预期差、上调与下调差等候选。可取的是同单位、同口径、只改变一个经济维度的配对方式；覆盖人数与预测 surprise 不能直接相减，已表示净修订的字段也不能未经语义核对再机械差分。120 日回填是作者参数，须另外检查数据可得时点、陈旧观测及两腿实际覆盖，不当作字段的通用配置。
+
+### 类别编号不是有量纲的数值
+
+[JPN 另类行业分类协方差帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43308165478935)（2026-09-07，本轮补录）把两套类别整数标签做时间协方差，报告低换手，同时承认解释偏弱和 OS 检查 PENDING。任意置换簇编号可能改变该协方差，而经济分类没有改变，因此不能直接将结果解释为“分类分歧强度”。至少应检验标签重编码不变性，并与基于类别成员关系的一致性度量比较；不同聚类方法也不自动意味着统计独立。本轮没有复现其回测。

docs/worldquant-knowledge-base/02-ai-mining/python-alpha.md

@@ -31,3 +31,11 @@ FastExpr 已能表达的简单机制，先用它建立基线。需要自定义
 来源：[[Python Alpha 挑战赛]Python Alpha两阶段筛选法：FastExpr快速验证 + Python深度优化](https://support.worldquantbrain.com/hc/en-us/community/posts/41135490599063)（发帖 2026-06-11，社区经验）；[从 Fast 翻译到 Python Alpha 别急着炫技：截面/时序错位是头号杀手，事件漂移和中性化层级是隐形雷](https://support.worldquantbrain.com/hc/en-us/community/posts/42047259261335)（发帖 2026-07-18，社区经验）；[【经验分享】Python Alpha 30名心得：从 FastExpr 到 Python，我用 17 个 alpha 趟出来的一条路](https://support.worldquantbrain.com/hc/en-us/community/posts/42519002511767)（发帖 2026-08-06，社区经验）；[Python Alpha 平台限制粗略小结，请大佬指正](https://support.worldquantbrain.com/hc/en-us/community/posts/40742727142679)（发帖 2026-05-26，社区经验）。
 
 本次没有安装或运行 BRAIN Labs Python SDK，所以这里只提供官方入口与迁移验证设计，不提供宣称可直接运行的 SDK 脚本。
+
+## 2026-09-25 补充：频域与 PCA 实现先验算
+
+[FFT 复现纠错帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43640747372695)（2026-09-21）指出一个可直接验算的恒等式：对同一输入 x 的互补频带，slow + fast = x，因此 slow − x 与 −fast 是同一条腿，混合权重不会产生新信息。这只适用于所示互补分解及一致预处理，不能泛化为所有慢快信号必然共线。
+
+原帖的其余“修正”仍需审查。对称 Hann 窗末端为零只能推出重构后的 slow[-1] + fast[-1] = 0，不能单凭这一点断言两个分量各自为零或必然衰减固定倍数。正文提倡前值填充，但修正版实际用窗口列均值填缺失；二者不是同一种经济假设。代码 `hist[-WIN:]` 在 WIN=65 时取 65 行，与注释宣称的 66 行也不一致。14–17 倍加速、泄漏比例和回测效果均为作者报告，本库未运行代码。
+
+[PCA 特质残差反转帖](https://support.worldquantbrain.com/hc/en-us/community/posts/43692787685015)（2026-09-23）可作为待验证的自估风险模型思路，但代码 `cs[H-1:] - cs[:-H+1]` 每项相减的累计索引间隔为 H−1，不能直接标成 H 日收益和；它还将非有限收益填零，需核对缺失、上市历史与股票池影响。作者报告 IND 有效而 EUR/USA/HKG 不佳，并将 PnL 相关 0.963 称作“恒等变换”；这是近似经验，非数学恒等。不得照搬其地区结论或部分正交化系数。