commit fce725e13c1d6bc9422f0473c9159c42b73afafc Author: Simon Date: Sat Oct 3 13:54:56 2026 +0800 初始提交：高股息策略研究与回测系统 从 Point-in-Time 股票筛选到统一 Web 前端的完整链路： 筛选 → 画像 → 策略 → 回测 → Walk-forward → 绩效分析 → 报告/前端。 架构 - 数据层与策略层分离；策略代码不写 SQL，只经 data/repo.py 取数 - 所有业务阈值集中在 config/*.yml，代码零硬编码（字段写错直接报错） - 报告只做「run_id → SQL → 渲染」，不做任何计算，数字可追溯 - 前后端分离：output/ 静态站点 + hdiv web 提供的 REST API 数据安全 - 只增不删：SQL 钩子拦截 DELETE/DROP/TRUNCATE，并有源码扫描测试守护 - qlib 原有表只读，本项目数据写入 hd_ 前缀表 - 回补使用 INSERT IGNORE，保证既有行零改动 - .env 存密钥且已 gitignore；output/、logs/、.venv/ 不入库 交付物 - 30 张 hd_* 表、7 个 YAML 配置、283 项自动化测试 - 统一 Web 前端（hash 路由 SPA）+ nginx 部署配置与 launchd 托管脚本 如实声明的限制 - 策略缺少稳定的样本外超额收益（Walk-forward 7 窗口均值 -0.95%， 基准 +2.29%）；其价值体现在回撤控制，而非超额收益 - 涨跌停/停牌约束仅覆盖 2019 年起；index_weight 尚未填充 - AI Agent 层（plan.md 第四版 P8）未实现 详见 docs/user-guide.md 与 docs/implementation-status.md。 diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..e5d1943 --- /dev/null +++ b/.env.example @@ -0,0 +1,19 @@ +# ============================================================ +# 高股息回测系统 · 环境变量模板 +# 复制为 .env 并填入真实值。.env 严禁提交进 Git。 +# 各变量由 config/*.yml 的 *_env 字段引用。 +# 与 ~/project/qlib/.env 使用同一套数据库与 Tushare 凭据。 +# ============================================================ + +# ---- 数据库（本机 MariaDB，与 qlib 项目共用）---- +MYSQL_HOST=127.0.0.1 +MYSQL_PORT=3306 +MYSQL_DB=qlib +MYSQL_USER=qlib +MYSQL_PASSWORD= + +# ---- Tushare Pro token ---- +TUSHARE_TOKEN= + +# ---- 报告输出根目录（可选，默认 ./output）---- +HDIV_OUTPUT_DIR= diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..fb1da91 --- /dev/null +++ b/.gitignore @@ -0,0 +1,19 @@ +# ---- 密钥与本地凭据 ---- +.env + +# ---- Python ---- +__pycache__/ +*.py[cod] +.venv/ +*.egg-info/ +.pytest_cache/ +.ruff_cache/ + +# ---- 生成物 ---- +output/ +logs/ +*.log +data/cache/ + +# ---- macOS ---- +.DS_Store diff --git a/README.md b/README.md new file mode 100644 index 0000000..4ce41f0 --- /dev/null +++ b/README.md @@ -0,0 +1,129 @@ +# 高股息回测系统 + +A 股 **高股息 + 安全边际 + 估值均值回归** 策略的研究与回测系统。 + +从 Point-in-Time 股票筛选 → 个股特性画像 → 策略定义 → 历史回测 → +Walk-forward 样本外验证 → 绩效与敏感性分析 → **统一 Web 前端**，全链路打通。 + +采用**前后端分离**：前端为 `output/` 下的单页应用（hash 路由，nginx 直接托管）， +后端为 `hdiv web` 提供的 REST API（nginx 反代 `/api`）。 + +--- + +## 快速开始 + +```bash +cd ~/project/高股息回测 +cp .env.example .env # 填入数据库密码与 Tushare token +export PYTHONPATH=src + +# 建表 +.venv/bin/python -m hdiv ddl apply + +# 同步数据（首次约 3~4 小时，可后台跑） +.venv/bin/python -m hdiv sync dividend --only-missing +.venv/bin/python -m hdiv sync financial --interleaved --only-missing +.venv/bin/python -m hdiv sync index +.venv/bin/python -m hdiv sync trading --start 2019-01-01 + +# 审计 → 打开 output/index.html +.venv/bin/python -m hdiv audit +``` + +完整用法见 **[使用手册](docs/user-guide.md)**。 + +--- + +## 文档 + +| 文档 | 内容 | +|---|---| +| **[使用手册](docs/user-guide.md)** | 安装、配置、命令、报告解读、故障排查 | +| [实施状态](docs/implementation-status.md) | 交付清单、验收映射、已修复问题、**实测结论与限制** | +| [开发计划](docs/development-plan.md) | 架构设计、数据库设计、分阶段计划 | +| [需求原文](docs/plan.md) | 项目的原始方案与验收标准 | + +--- + +## 目录 + +```text +config/ ★ 所有可调参数（YAML，代码零硬编码） +src/hdiv/ 代码：数据层、筛选、画像、策略、回测、分析、报告 +templates/ HTML 模板（Jinja2，离线） +assets/ 图表库（ECharts，本地化，不依赖 CDN） +output/ ★ 报告输出（部署这个目录） +sql/ 建表 SQL 副本（供人工审查） +tests/ 262 项自动化测试 +docs/ 文档 +``` + +--- + +## 三条设计原则 + +| 原则 | 落实方式 | +|---|---| +| **配置零硬编码** | 任何业务阈值只出现在 `config/*.yml`；字段名写错直接报错 | +| **只增不删** | SQL 钩子拦截 `DELETE`/`DROP`/`TRUNCATE`；源码扫描测试守护 | +| **无未来函数** | 所有取数必经 `data/repo.py`，PIT 纪律有负例测试 | + +--- + +## 重要提示 + +**本系统的实测结论是：策略没有稳定的样本外超额收益。** + +全期回测（2015–2026）显示 +114.80% / CAGR 6.73%， +但 7 窗口 Walk-forward 的样本外收益均值仅 **−0.95%**（基准 +2.29%，超额 **−3.24pp**）。 + +它真正的价值在于**回撤控制**（样本外最差 −24.62%，基准同期 −46%~−52%）—— +更像降低波动的配置工具，而非超额收益来源。 + +**请始终以 Walk-forward 的样本外结果为主要依据，不要采信单条路径的全期数字。** +详见[实施状态 §4.6](docs/implementation-status.md)。 + +--- + +## Web 部署（前后端分离） + +```bash +# 1) 归一化站点目录（归档历史 + 同步前端） +.venv/bin/python -m hdiv site normalize + +# 2) 本地预览 +./deploy/serve.sh start-dev # http://127.0.0.1:8099/ + +# 3) 生产：同步前端 + 启动后端（仅 API） +rsync -av --delete output/ user@host:/srv/hddiv/site/ +./deploy/serve.sh start # 监听 127.0.0.1:8099 --api-only +``` + +nginx 需做两件事：托管 `output/`、把 `/api` 反代到后端。 +配置模板见 **[deploy/nginx.conf.example](deploy/nginx.conf.example)**（含子路径与站点根两种布局）。 + +验证： + +```bash +curl http://:8080/ggx/api/health # 应返回 {"ok": true, ...} +``` + +浏览器打开首页后，右上角应显示 **「API 正常」**；若显示「API 不可用」， +说明 nginx 的 `/api` 反代未生效。 + +> 静态报告（`output/reports/`）通过相对路径引用 `assets/echarts.min.js`， +> 因此部署时**必须整体同步 `output/` 目录**，不能只拷 HTML。 +> +> 静态报告是**导出件**，默认不生成（SPA 已提供同样内容）。需要离线单文件快照时 +> 加 `--html` 导出，文件名带 run_id，同一天多次运行不会互相覆盖。 + +--- + +## 测试 + +```bash +.venv/bin/python -m pytest tests/ -q +``` + +覆盖：配置校验（含 18 类非法配置必须被拒）、SQL 安全约束、表结构幂等性、 +单位换算与量级检测、PIT 纪律、分红口径、回测资金对账、参数阶梯、CLI 接口契约。 diff --git a/assets/echarts.min.js b/assets/echarts.min.js new file mode 100644 index 0000000..835966f --- /dev/null +++ b/assets/echarts.min.js @@ -0,0 +1,45 @@ + +/* +* Licensed to the Apache Software Foundation (ASF) under one +* or more contributor license agreements. See the NOTICE file +* distributed with this work for additional information +* regarding copyright ownership. The ASF licenses this file +* to you under the Apache License, Version 2.0 (the +* "License"); you may not use this file except in compliance +* with the License. You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, +* software distributed under the License is distributed on an +* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +* KIND, either express or implied. See the License for the +* specific language governing permissions and limitations +* under the License. +*/ + +!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?e(exports):"function"==typeof define&&define.amd?define(["exports"],e):e((t="undefined"!=typeof globalThis?globalThis:t||self).echarts={})}(this,(function(t){"use strict"; +/*! ***************************************************************************** + Copyright (c) Microsoft Corporation. + + Permission to use, copy, modify, and/or distribute this software for any + purpose with or without fee is hereby granted. + + THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH + REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY + AND FITNESS. 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t=this.parent&&this.parent.transform,e=this.needLocalTransform(),n=this.transform;e||t?(n=n||[1,0,0,1,0,0],e?this.getLocalTransform(n):hr(n),t&&(e?be(n,t,n):_e(n,t)),this.transform=n,this._resolveGlobalScaleRatio(n)):n&&(hr(n),this.invTransform=null)},t.prototype._resolveGlobalScaleRatio=function(t){var e=this.globalScaleRatio;if(null!=e&&1!==e){this.getGlobalScale(dr);var n=dr[0]<0?-1:1,i=dr[1]<0?-1:1,r=((dr[0]-n)*e+n)/dr[0]||0,o=((dr[1]-i)*e+i)/dr[1]||0;t[0]*=r,t[1]*=r,t[2]*=o,t[3]*=o}this.invTransform=this.invTransform||[1,0,0,1,0,0],Ie(this.invTransform,t)},t.prototype.getComputedTransform=function(){for(var t=this,e=[];t;)e.push(t),t=t.parent;for(;t=e.pop();)t.updateTransform();return this.transform},t.prototype.setLocalTransform=function(t){if(t){var e=t[0]*t[0]+t[1]*t[1],n=t[2]*t[2]+t[3]*t[3],i=Math.atan2(t[1],t[0]),r=Math.PI/2+i-Math.atan2(t[3],t[2]);n=Math.sqrt(n)*Math.cos(r),e=Math.sqrt(e),this.skewX=r,this.skewY=0,this.rotation=-i,this.x=+t[4],this.y=+t[5],this.scaleX=e,this.scaleY=n,this.originX=0,this.originY=0}},t.prototype.decomposeTransform=function(){if(this.transform){var t=this.parent,e=this.transform;t&&t.transform&&(t.invTransform=t.invTransform||[1,0,0,1,0,0],be(fr,t.invTransform,e),e=fr);var n=this.originX,i=this.originY;(n||i)&&(gr[4]=n,gr[5]=i,be(fr,e,gr),fr[4]-=n,fr[5]-=i,e=fr),this.setLocalTransform(e)}},t.prototype.getGlobalScale=function(t){var e=this.transform;return t=t||[],e?(t[0]=Math.sqrt(e[0]*e[0]+e[1]*e[1]),t[1]=Math.sqrt(e[2]*e[2]+e[3]*e[3]),e[0]<0&&(t[0]=-t[0]),e[3]<0&&(t[1]=-t[1]),t):(t[0]=1,t[1]=1,t)},t.prototype.transformCoordToLocal=function(t,e){var n=[t,e],i=this.invTransform;return i&&Wt(n,n,i),n},t.prototype.transformCoordToGlobal=function(t,e){var n=[t,e],i=this.transform;return i&&Wt(n,n,i),n},t.prototype.getLineScale=function(){var t=this.transform;return t&&yr(t[0]-1)>1e-10&&yr(t[3]-1)>1e-10?Math.sqrt(yr(t[0]*t[3]-t[2]*t[1])):1},t.prototype.copyTransform=function(t){xr(this,t)},t.getLocalTransform=function(t,e){e=e||[];var n=t.originX||0,i=t.originY||0,r=t.scaleX,o=t.scaleY,a=t.anchorX,s=t.anchorY,l=t.rotation||0,u=t.x,h=t.y,c=t.skewX?Math.tan(t.skewX):0,p=t.skewY?Math.tan(-t.skewY):0;if(n||i||a||s){var d=n+a,f=i+s;e[4]=-d*r-c*f*o,e[5]=-f*o-p*d*r}else e[4]=e[5]=0;return e[0]=r,e[3]=o,e[1]=p*r,e[2]=c*o,l&&Se(e,e,l),e[4]+=n+u,e[5]+=i+h,e},t.initDefaultProps=function(){var e=t.prototype;e.scaleX=e.scaleY=e.globalScaleRatio=1,e.x=e.y=e.originX=e.originY=e.skewX=e.skewY=e.rotation=e.anchorX=e.anchorY=0}(),t}(),mr=["x","y","originX","originY","anchorX","anchorY","rotation","scaleX","scaleY","skewX","skewY"];function xr(t,e){for(var n=0;n=0?parseFloat(t)/100*e:parseFloat(t):t}function Dr(t,e,n){var i=e.position||"inside",r=null!=e.distance?e.distance:5,o=n.height,a=n.width,s=o/2,l=n.x,u=n.y,h="left",c="top";if(i instanceof Array)l+=Cr(i[0],n.width),u+=Cr(i[1],n.height),h=null,c=null;else switch(i){case"left":l-=r,u+=s,h="right",c="middle";break;case"right":l+=r+a,u+=s,c="middle";break;case"top":l+=a/2,u-=r,h="center",c="bottom";break;case"bottom":l+=a/2,u+=o+r,h="center";break;case"inside":l+=a/2,u+=s,h="center",c="middle";break;case"insideLeft":l+=r,u+=s,c="middle";break;case"insideRight":l+=a-r,u+=s,h="right",c="middle";break;case"insideTop":l+=a/2,u+=r,h="center";break;case"insideBottom":l+=a/2,u+=o-r,h="center",c="bottom";break;case"insideTopLeft":l+=r,u+=r;break;case"insideTopRight":l+=a-r,u+=r,h="right";break;case"insideBottomLeft":l+=r,u+=o-r,c="bottom";break;case"insideBottomRight":l+=a-r,u+=o-r,h="right",c="bottom"}return(t=t||{}).x=l,t.y=u,t.align=h,t.verticalAlign=c,t}var Ar="__zr_normal__",kr=mr.concat(["ignore"]),Lr=V(mr,(function(t,e){return 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u=Or;n.layoutRect?u.copy(n.layoutRect):u.copy(this.getBoundingRect()),i||u.applyTransform(this.transform),this.calculateTextPosition?this.calculateTextPosition(Pr,n,u):Dr(Pr,n,u),r.x=Pr.x,r.y=Pr.y,o=Pr.align,a=Pr.verticalAlign;var h=n.origin;if(h&&null!=n.rotation){var c=void 0,p=void 0;"center"===h?(c=.5*u.width,p=.5*u.height):(c=Cr(h[0],u.width),p=Cr(h[1],u.height)),l=!0,r.originX=-r.x+c+(i?0:u.x),r.originY=-r.y+p+(i?0:u.y)}}null!=n.rotation&&(r.rotation=n.rotation);var d=n.offset;d&&(r.x+=d[0],r.y+=d[1],l||(r.originX=-d[0],r.originY=-d[1]));var f=null==n.inside?"string"==typeof n.position&&n.position.indexOf("inside")>=0:n.inside,g=this._innerTextDefaultStyle||(this._innerTextDefaultStyle={}),y=void 0,v=void 0,m=void 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i=n[3],r=this.__zr.isDarkMode(),o=0;o<3;o++)n[o]=n[o]*i+(r?0:255)*(1-i);return n[3]=1,ri(n,"rgba")},t.prototype.traverse=function(t,e){},t.prototype.attrKV=function(t,e){"textConfig"===t?this.setTextConfig(e):"textContent"===t?this.setTextContent(e):"clipPath"===t?this.setClipPath(e):"extra"===t?(this.extra=this.extra||{},A(this.extra,e)):this[t]=e},t.prototype.hide=function(){this.ignore=!0,this.markRedraw()},t.prototype.show=function(){this.ignore=!1,this.markRedraw()},t.prototype.attr=function(t,e){if("string"==typeof t)this.attrKV(t,e);else if(q(t))for(var n=G(t),i=0;i0},t.prototype.getState=function(t){return this.states[t]},t.prototype.ensureState=function(t){var e=this.states;return e[t]||(e[t]={}),e[t]},t.prototype.clearStates=function(t){this.useState(Ar,!1,t)},t.prototype.useState=function(t,e,n,i){var r=t===Ar;if(this.hasState()||!r){var o=this.currentStates,a=this.stateTransition;if(!(P(o,t)>=0)||!e&&1!==o.length){var 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this.clearStates()},t.prototype.isSilent=function(){for(var t=this.silent,e=this.parent;!t&&e;){if(e.silent){t=!0;break}e=e.parent}return t},t.prototype._updateAnimationTargets=function(){for(var t=0;t=0){var n=this.currentStates.slice();n.splice(e,1),this.useStates(n)}},t.prototype.replaceState=function(t,e,n){var i=this.currentStates.slice(),r=P(i,t),o=P(i,e)>=0;r>=0?o?i.splice(r,1):i[r]=e:n&&!o&&i.push(e),this.useStates(i)},t.prototype.toggleState=function(t,e){e?this.useState(t,!0):this.removeState(t)},t.prototype._mergeStates=function(t){for(var e,n={},i=0;i=0&&e.splice(n,1)})),this.animators.push(t),n&&n.animation.addAnimator(t),n&&n.wakeUp()},t.prototype.updateDuringAnimation=function(t){this.markRedraw()},t.prototype.stopAnimation=function(t,e){for(var n=this.animators,i=n.length,r=[],o=0;o0&&n.during&&o[0].during((function(t,e){n.during(e)}));for(var p=0;p0||r.force&&!a.length){var w,S=void 0,M=void 0,I=void 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t=this._children,e=this.__zr,n=0;n0&&(this._stillFrameAccum++,this._stillFrameAccum>this._sleepAfterStill&&this.animation.stop())},t.prototype.setSleepAfterStill=function(t){this._sleepAfterStill=t},t.prototype.wakeUp=function(){this._disposed||(this.animation.start(),this._stillFrameAccum=0)},t.prototype.refreshHover=function(){this._needsRefreshHover=!0},t.prototype.refreshHoverImmediately=function(){this._disposed||(this._needsRefreshHover=!1,this.painter.refreshHover&&"canvas"===this.painter.getType()&&this.painter.refreshHover())},t.prototype.resize=function(t){this._disposed||(t=t||{},this.painter.resize(t.width,t.height),this.handler.resize())},t.prototype.clearAnimation=function(){this._disposed||this.animation.clear()},t.prototype.getWidth=function(){if(!this._disposed)return this.painter.getWidth()},t.prototype.getHeight=function(){if(!this._disposed)return 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n=e.getRawData(),i={},r=e.getData(),o=Xg(e).scope,a=e.visualStyleAccessPath||"itemStyle",s=qg(e,a);r.each((function(t){var e=r.getRawIndex(t);i[e]=t})),n.each((function(t){var a=i[t];if(r.getItemVisual(a,"colorFromPalette")){var l=r.ensureUniqueItemVisual(a,"style"),u=n.getName(t)||t+"",h=n.count();l[s]=e.getColorFromPalette(u,o,h)}}))}}))}},ty=Math.PI;var ey=function(){function t(t,e,n,i){this._stageTaskMap=yt(),this.ecInstance=t,this.api=e,n=this._dataProcessorHandlers=n.slice(),i=this._visualHandlers=i.slice(),this._allHandlers=n.concat(i)}return t.prototype.restoreData=function(t,e){t.restoreData(e),this._stageTaskMap.each((function(t){var e=t.overallTask;e&&e.dirty()}))},t.prototype.getPerformArgs=function(t,e){if(t.__pipeline){var 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n+":"+t[e][n]+";"})).join(i)+o})).join(i),s=z(G(e),(function(t){return"@keyframes "+t+r+z(G(e[t]),(function(n){return n+r+z(G(e[t][n]),(function(i){var r=e[t][n][i];return"d"===i&&(r='path("'+r+'")'),i+":"+r+";"})).join(i)+o})).join(i)+o})).join(i);return a||s?[""].join(i):""}(r.cssNodes,r.cssAnims,{newline:!0});if(u){var h=sw("style","stl",{},[],u);o.push(h)}}return hw(n,i,o,t.useViewBox)},t.prototype.renderToString=function(t){return t=t||{},lw(this.renderToVNode({animation:rt(t.cssAnimation,!0),emphasis:rt(t.cssEmphasis,!0),willUpdate:!1,compress:!0,useViewBox:rt(t.useViewBox,!0)}),{newline:!0})},t.prototype.setBackgroundColor=function(t){this._backgroundColor=t},t.prototype.getSvgRoot=function(){return this._mainVNode&&this._mainVNode.elm},t.prototype._paintList=function(t,e,n){for(var i,r,o=t.length,a=[],s=0,l=0,u=0;u=0&&(!c||!r||c[f]!==r[f]);f--);for(var g=d-1;g>f;g--)i=a[--s-1];for(var y=f+1;y=a)}}for(var h=this.__startIndex;h15)break}n.prevElClipPaths&&u.restore()};if(p)if(0===p.length)s=l.__endIndex;else for(var _=d.dpr,b=0;b0&&t>i[0]){for(s=0;st);s++);a=n[i[s]]}if(i.splice(s+1,0,t),n[t]=e,!e.virtual)if(a){var l=a.dom;l.nextSibling?o.insertBefore(e.dom,l.nextSibling):o.appendChild(e.dom)}else o.firstChild?o.insertBefore(e.dom,o.firstChild):o.appendChild(e.dom);e.painter||(e.painter=this)}},t.prototype.eachLayer=function(t,e){for(var n=this._zlevelList,i=0;i0?uS:0),this._needsManuallyCompositing),u.__builtin__||I("ZLevel "+l+" has been used by unkown layer "+u.id),u!==o&&(u.__used=!0,u.__startIndex!==r&&(u.__dirty=!0),u.__startIndex=r,u.incremental?u.__drawIndex=-1:u.__drawIndex=r,e(r),o=u),1&s.__dirty&&!s.__inHover&&(u.__dirty=!0,u.incremental&&u.__drawIndex<0&&(u.__drawIndex=r))}e(r),this.eachBuiltinLayer((function(t,e){!t.__used&&t.getElementCount()>0&&(t.__dirty=!0,t.__startIndex=t.__endIndex=t.__drawIndex=0),t.__dirty&&t.__drawIndex<0&&(t.__drawIndex=t.__startIndex)}))},t.prototype.clear=function(){return this.eachBuiltinLayer(this._clearLayer),this},t.prototype._clearLayer=function(t){t.clear()},t.prototype.setBackgroundColor=function(t){this._backgroundColor=t,E(this._layers,(function(t){t.setUnpainted()}))},t.prototype.configLayer=function(t,e){if(e){var n=this._layerConfig;n[t]?C(n[t],e,!0):n[t]=e;for(var i=0;i-1&&(s.style.stroke=s.style.fill,s.style.fill="#fff",s.style.lineWidth=2),e},e.type="series.line",e.dependencies=["grid","polar"],e.defaultOption={z:3,coordinateSystem:"cartesian2d",legendHoverLink:!0,clip:!0,label:{position:"top"},endLabel:{show:!1,valueAnimation:!0,distance:8},lineStyle:{width:2,type:"solid"},emphasis:{scale:!0},step:!1,smooth:!1,smoothMonotone:null,symbol:"emptyCircle",symbolSize:4,symbolRotate:null,showSymbol:!0,showAllSymbol:"auto",connectNulls:!1,sampling:"none",animationEasing:"linear",progressive:0,hoverLayerThreshold:1/0,universalTransition:{divideShape:"clone"},triggerLineEvent:!1},e}(bg);function pS(t,e){var n=t.mapDimensionsAll("defaultedLabel"),i=n.length;if(1===i){var r=mf(t,e,n[0]);return null!=r?r+"":null}if(i){for(var o=[],a=0;a=0&&i.push(e[o])}return i.join(" ")}var fS=function(t){function e(e,n,i,r){var o=t.call(this)||this;return o.updateData(e,n,i,r),o}return n(e,t),e.prototype._createSymbol=function(t,e,n,i,r){this.removeAll();var o=Xy(t,-1,-1,2,2,null,r);o.attr({z2:100,culling:!0,scaleX:i[0]/2,scaleY:i[1]/2}),o.drift=gS,this._symbolType=t,this.add(o)},e.prototype.stopSymbolAnimation=function(t){this.childAt(0).stopAnimation(null,t)},e.prototype.getSymbolType=function(){return this._symbolType},e.prototype.getSymbolPath=function(){return this.childAt(0)},e.prototype.highlight=function(){Ol(this.childAt(0))},e.prototype.downplay=function(){Rl(this.childAt(0))},e.prototype.setZ=function(t,e){var n=this.childAt(0);n.zlevel=t,n.z=e},e.prototype.setDraggable=function(t,e){var n=this.childAt(0);n.draggable=t,n.cursor=!e&&t?"move":n.cursor},e.prototype.updateData=function(t,n,i,r){this.silent=!1;var o=t.getItemVisual(n,"symbol")||"circle",a=t.hostModel,s=e.getSymbolSize(t,n),l=o!==this._symbolType,u=r&&r.disableAnimation;if(l){var h=t.getItemVisual(n,"symbolKeepAspect");this._createSymbol(o,t,n,s,h)}else{(p=this.childAt(0)).silent=!1;var c={scaleX:s[0]/2,scaleY:s[1]/2};u?p.attr(c):vh(p,c,a,n),Sh(p)}if(this._updateCommon(t,n,s,i,r),l){var p=this.childAt(0);if(!u){c={scaleX:this._sizeX,scaleY:this._sizeY,style:{opacity:p.style.opacity}};p.scaleX=p.scaleY=0,p.style.opacity=0,mh(p,c,a,n)}}u&&this.childAt(0).stopAnimation("leave")},e.prototype._updateCommon=function(t,e,n,i,r){var o,a,s,l,u,h,c,p,d,f=this.childAt(0),g=t.hostModel;if(i&&(o=i.emphasisItemStyle,a=i.blurItemStyle,s=i.selectItemStyle,l=i.focus,u=i.blurScope,c=i.labelStatesModels,p=i.hoverScale,d=i.cursorStyle,h=i.emphasisDisabled),!i||t.hasItemOption){var y=i&&i.itemModel?i.itemModel:t.getItemModel(e),v=y.getModel("emphasis");o=v.getModel("itemStyle").getItemStyle(),s=y.getModel(["select","itemStyle"]).getItemStyle(),a=y.getModel(["blur","itemStyle"]).getItemStyle(),l=v.get("focus"),u=v.get("blurScope"),h=v.get("disabled"),c=rc(y),p=v.getShallow("scale"),d=y.getShallow("cursor")}var m=t.getItemVisual(e,"symbolRotate");f.attr("rotation",(m||0)*Math.PI/180||0);var x=Zy(t.getItemVisual(e,"symbolOffset"),n);x&&(f.x=x[0],f.y=x[1]),d&&f.attr("cursor",d);var _=t.getItemVisual(e,"style"),b=_.fill;if(f instanceof Ns){var w=f.style;f.useStyle(A({image:w.image,x:w.x,y:w.y,width:w.width,height:w.height},_))}else f.__isEmptyBrush?f.useStyle(A({},_)):f.useStyle(_),f.style.decal=null,f.setColor(b,r&&r.symbolInnerColor),f.style.strokeNoScale=!0;var S=t.getItemVisual(e,"liftZ"),M=this._z2;null!=S?null==M&&(this._z2=f.z2,f.z2+=S):null!=M&&(f.z2=M,this._z2=null);var I=r&&r.useNameLabel;ic(f,c,{labelFetcher:g,labelDataIndex:e,defaultText:function(e){return I?t.getName(e):pS(t,e)},inheritColor:b,defaultOpacity:_.opacity}),this._sizeX=n[0]/2,this._sizeY=n[1]/2;var T=f.ensureState("emphasis");T.style=o,f.ensureState("select").style=s,f.ensureState("blur").style=a;var C=null==p||!0===p?Math.max(1.1,3/this._sizeY):isFinite(p)&&p>0?+p:1;T.scaleX=this._sizeX*C,T.scaleY=this._sizeY*C,this.setSymbolScale(1),Zl(this,l,u,h)},e.prototype.setSymbolScale=function(t){this.scaleX=this.scaleY=t},e.prototype.fadeOut=function(t,e,n){var i=this.childAt(0),r=rl(this).dataIndex,o=n&&n.animation;if(this.silent=i.silent=!0,n&&n.fadeLabel){var a=i.getTextContent();a&&_h(a,{style:{opacity:0}},e,{dataIndex:r,removeOpt:o,cb:function(){i.removeTextContent()}})}else i.removeTextContent();_h(i,{style:{opacity:0},scaleX:0,scaleY:0},e,{dataIndex:r,cb:t,removeOpt:o})},e.getSymbolSize=function(t,e){return Uy(t.getItemVisual(e,"symbolSize"))},e}(Br);function gS(t,e){this.parent.drift(t,e)}function yS(t,e,n,i){return e&&!isNaN(e[0])&&!isNaN(e[1])&&!(i.isIgnore&&i.isIgnore(n))&&!(i.clipShape&&!i.clipShape.contain(e[0],e[1]))&&"none"!==t.getItemVisual(n,"symbol")}function vS(t){return null==t||q(t)||(t={isIgnore:t}),t||{}}function mS(t){var e=t.hostModel,n=e.getModel("emphasis");return{emphasisItemStyle:n.getModel("itemStyle").getItemStyle(),blurItemStyle:e.getModel(["blur","itemStyle"]).getItemStyle(),selectItemStyle:e.getModel(["select","itemStyle"]).getItemStyle(),focus:n.get("focus"),blurScope:n.get("blurScope"),emphasisDisabled:n.get("disabled"),hoverScale:n.get("scale"),labelStatesModels:rc(e),cursorStyle:e.get("cursor")}}var xS=function(){function t(t){this.group=new Br,this._SymbolCtor=t||fS}return t.prototype.updateData=function(t,e){this._progressiveEls=null,e=vS(e);var n=this.group,i=t.hostModel,r=this._data,o=this._SymbolCtor,a=e.disableAnimation,s=mS(t),l={disableAnimation:a},u=e.getSymbolPoint||function(e){return t.getItemLayout(e)};r||n.removeAll(),t.diff(r).add((function(i){var r=u(i);if(yS(t,r,i,e)){var a=new o(t,i,s,l);a.setPosition(r),t.setItemGraphicEl(i,a),n.add(a)}})).update((function(h,c){var p=r.getItemGraphicEl(c),d=u(h);if(yS(t,d,h,e)){var f=t.getItemVisual(h,"symbol")||"circle",g=p&&p.getSymbolType&&p.getSymbolType();if(!p||g&&g!==f)n.remove(p),(p=new o(t,h,s,l)).setPosition(d);else{p.updateData(t,h,s,l);var y={x:d[0],y:d[1]};a?p.attr(y):vh(p,y,i)}n.add(p),t.setItemGraphicEl(h,p)}else n.remove(p)})).remove((function(t){var e=r.getItemGraphicEl(t);e&&e.fadeOut((function(){n.remove(e)}),i)})).execute(),this._getSymbolPoint=u,this._data=t},t.prototype.updateLayout=function(){var t=this,e=this._data;e&&e.eachItemGraphicEl((function(e,n){var i=t._getSymbolPoint(n);e.setPosition(i),e.markRedraw()}))},t.prototype.incrementalPrepareUpdate=function(t){this._seriesScope=mS(t),this._data=null,this.group.removeAll()},t.prototype.incrementalUpdate=function(t,e,n){function i(t){t.isGroup||(t.incremental=!0,t.ensureState("emphasis").hoverLayer=!0)}this._progressiveEls=[],n=vS(n);for(var r=t.start;r0?n=i[0]:i[1]<0&&(n=i[1]);return n}(r,n),a=i.dim,s=r.dim,l=e.mapDimension(s),u=e.mapDimension(a),h="x"===s||"radius"===s?1:0,c=z(t.dimensions,(function(t){return e.mapDimension(t)})),p=!1,d=e.getCalculationInfo("stackResultDimension");return mx(e,c[0])&&(p=!0,c[0]=d),mx(e,c[1])&&(p=!0,c[1]=d),{dataDimsForPoint:c,valueStart:o,valueAxisDim:s,baseAxisDim:a,stacked:!!p,valueDim:l,baseDim:u,baseDataOffset:h,stackedOverDimension:e.getCalculationInfo("stackedOverDimension")}}function bS(t,e,n,i){var r=NaN;t.stacked&&(r=n.get(n.getCalculationInfo("stackedOverDimension"),i)),isNaN(r)&&(r=t.valueStart);var o=t.baseDataOffset,a=[];return a[o]=n.get(t.baseDim,i),a[1-o]=r,e.dataToPoint(a)}var wS=Math.min,SS=Math.max;function MS(t,e){return isNaN(t)||isNaN(e)}function IS(t,e,n,i,r,o,a,s,l){for(var u,h,c,p,d,f,g=n,y=0;y=r||g<0)break;if(MS(v,m)){if(l){g+=o;continue}break}if(g===n)t[o>0?"moveTo":"lineTo"](v,m),c=v,p=m;else{var x=v-u,_=m-h;if(x*x+_*_<.5){g+=o;continue}if(a>0){for(var b=g+o,w=e[2*b],S=e[2*b+1];w===v&&S===m&&y=i||MS(w,S))d=v,f=m;else{T=w-u,C=S-h;var k=v-u,L=w-v,P=m-h,O=S-m,R=void 0,N=void 0;if("x"===s){var E=T>0?1:-1;d=v-E*(R=Math.abs(k))*a,f=m,D=v+E*(N=Math.abs(L))*a,A=m}else if("y"===s){var z=C>0?1:-1;d=v,f=m-z*(R=Math.abs(P))*a,D=v,A=m+z*(N=Math.abs(O))*a}else R=Math.sqrt(k*k+P*P),d=v-T*a*(1-(I=(N=Math.sqrt(L*L+O*O))/(N+R))),f=m-C*a*(1-I),A=m+C*a*I,D=wS(D=v+T*a*I,SS(w,v)),A=wS(A,SS(S,m)),D=SS(D,wS(w,v)),f=m-(C=(A=SS(A,wS(S,m)))-m)*R/N,d=wS(d=v-(T=D-v)*R/N,SS(u,v)),f=wS(f,SS(h,m)),D=v+(T=v-(d=SS(d,wS(u,v))))*N/R,A=m+(C=m-(f=SS(f,wS(h,m))))*N/R}t.bezierCurveTo(c,p,d,f,v,m),c=D,p=A}else t.lineTo(v,m)}u=v,h=m,g+=o}return y}var TS=function(){this.smooth=0,this.smoothConstraint=!0},CS=function(t){function e(e){var n=t.call(this,e)||this;return n.type="ec-polyline",n}return n(e,t),e.prototype.getDefaultStyle=function(){return{stroke:"#000",fill:null}},e.prototype.getDefaultShape=function(){return new TS},e.prototype.buildPath=function(t,e){var n=e.points,i=0,r=n.length/2;if(e.connectNulls){for(;r>0&&MS(n[2*r-2],n[2*r-1]);r--);for(;i=0){var y=a?(h-i)*g+i:(u-n)*g+n;return a?[t,y]:[y,t]}n=u,i=h;break;case o.C:u=r[l++],h=r[l++],c=r[l++],p=r[l++],d=r[l++],f=r[l++];var v=a?_n(n,u,c,d,t,s):_n(i,h,p,f,t,s);if(v>0)for(var m=0;m=0){y=a?mn(i,h,p,f,x):mn(n,u,c,d,x);return a?[t,y]:[y,t]}}n=d,i=f}}},e}(ks),DS=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e}(TS),AS=function(t){function e(e){var n=t.call(this,e)||this;return n.type="ec-polygon",n}return n(e,t),e.prototype.getDefaultShape=function(){return new DS},e.prototype.buildPath=function(t,e){var n=e.points,i=e.stackedOnPoints,r=0,o=n.length/2,a=e.smoothMonotone;if(e.connectNulls){for(;o>0&&MS(n[2*o-2],n[2*o-1]);o--);for(;r=0;a--){var s=t.getDimensionInfo(i[a].dimension);if("x"===(r=s&&s.coordDim)||"y"===r){o=i[a];break}}if(o){var l=e.getAxis(r),u=z(o.stops,(function(t){return{coord:l.toGlobalCoord(l.dataToCoord(t.value)),color:t.color}})),h=u.length,c=o.outerColors.slice();h&&u[0].coord>u[h-1].coord&&(u.reverse(),c.reverse());var p=function(t,e){var n,i,r=[],o=t.length;function a(t,e,n){var i=t.coord;return{coord:n,color:ti((n-i)/(e.coord-i),[t.color,e.color])}}for(var s=0;se){i?r.push(a(i,l,e)):n&&r.push(a(n,l,0),a(n,l,e));break}n&&(r.push(a(n,l,0)),n=null),r.push(l),i=l}}return r}(u,"x"===r?n.getWidth():n.getHeight()),d=p.length;if(!d&&h)return u[0].coord<0?c[1]?c[1]:u[h-1].color:c[0]?c[0]:u[0].color;var f=p[0].coord-10,g=p[d-1].coord+10,y=g-f;if(y<.001)return"transparent";E(p,(function(t){t.offset=(t.coord-f)/y})),p.push({offset:d?p[d-1].offset:.5,color:c[1]||"transparent"}),p.unshift({offset:d?p[0].offset:.5,color:c[0]||"transparent"});var v=new oh(0,0,0,0,p,!0);return v[r]=f,v[r+"2"]=g,v}}}function FS(t,e,n){var i=t.get("showAllSymbol"),r="auto"===i;if(!i||r){var o=n.getAxesByScale("ordinal")[0];if(o&&(!r||!function(t,e){var n=t.getExtent(),i=Math.abs(n[1]-n[0])/t.scale.count();isNaN(i)&&(i=0);for(var r=e.count(),o=Math.max(1,Math.round(r/5)),a=0;ai)return!1;return!0}(o,e))){var a=e.mapDimension(o.dim),s={};return E(o.getViewLabels(),(function(t){var e=o.scale.getRawOrdinalNumber(t.tickValue);s[e]=1})),function(t){return!s.hasOwnProperty(e.get(a,t))}}}}function GS(t,e){return[t[2*e],t[2*e+1]]}function WS(t){if(t.get(["endLabel","show"]))return!0;for(var e=0;e0&&"bolder"===t.get(["emphasis","lineStyle","width"]))&&(d.getState("emphasis").style.lineWidth=+d.style.lineWidth+1);rl(d).seriesIndex=t.seriesIndex,Zl(d,L,P,O);var R=zS(t.get("smooth")),N=t.get("smoothMonotone");if(d.setShape({smooth:R,smoothMonotone:N,connectNulls:w}),f){var E=a.getCalculationInfo("stackedOnSeries"),z=0;f.useStyle(k(l.getAreaStyle(),{fill:C,opacity:.7,lineJoin:"bevel",decal:a.getVisual("style").decal})),E&&(z=zS(E.get("smooth"))),f.setShape({smooth:R,stackedOnSmooth:z,smoothMonotone:N,connectNulls:w}),$l(f,t,"areaStyle"),rl(f).seriesIndex=t.seriesIndex,Zl(f,L,P,O)}var V=function(t){i._changePolyState(t)};a.eachItemGraphicEl((function(t){t&&(t.onHoverStateChange=V)})),this._polyline.onHoverStateChange=V,this._data=a,this._coordSys=r,this._stackedOnPoints=_,this._points=u,this._step=T,this._valueOrigin=m,t.get("triggerLineEvent")&&(this.packEventData(t,d),f&&this.packEventData(t,f))},e.prototype.packEventData=function(t,e){rl(e).eventData={componentType:"series",componentSubType:"line",componentIndex:t.componentIndex,seriesIndex:t.seriesIndex,seriesName:t.name,seriesType:"line"}},e.prototype.highlight=function(t,e,n,i){var r=t.getData(),o=zo(r,i);if(this._changePolyState("emphasis"),!(o instanceof Array)&&null!=o&&o>=0){var a=r.getLayout("points"),s=r.getItemGraphicEl(o);if(!s){var l=a[2*o],u=a[2*o+1];if(isNaN(l)||isNaN(u))return;if(this._clipShapeForSymbol&&!this._clipShapeForSymbol.contain(l,u))return;var h=t.get("zlevel")||0,c=t.get("z")||0;(s=new fS(r,o)).x=l,s.y=u,s.setZ(h,c);var p=s.getSymbolPath().getTextContent();p&&(p.zlevel=h,p.z=c,p.z2=this._polyline.z2+1),s.__temp=!0,r.setItemGraphicEl(o,s),s.stopSymbolAnimation(!0),this.group.add(s)}s.highlight()}else Og.prototype.highlight.call(this,t,e,n,i)},e.prototype.downplay=function(t,e,n,i){var r=t.getData(),o=zo(r,i);if(this._changePolyState("normal"),null!=o&&o>=0){var a=r.getItemGraphicEl(o);a&&(a.__temp?(r.setItemGraphicEl(o,null),this.group.remove(a)):a.downplay())}else Og.prototype.downplay.call(this,t,e,n,i)},e.prototype._changePolyState=function(t){var e=this._polygon;Dl(this._polyline,t),e&&Dl(e,t)},e.prototype._newPolyline=function(t){var e=this._polyline;return e&&this._lineGroup.remove(e),e=new CS({shape:{points:t},segmentIgnoreThreshold:2,z2:10}),this._lineGroup.add(e),this._polyline=e,e},e.prototype._newPolygon=function(t,e){var n=this._polygon;return n&&this._lineGroup.remove(n),n=new AS({shape:{points:t,stackedOnPoints:e},segmentIgnoreThreshold:2}),this._lineGroup.add(n),this._polygon=n,n},e.prototype._initSymbolLabelAnimation=function(t,e,n){var i,r,o=e.getBaseAxis(),a=o.inverse;"cartesian2d"===e.type?(i=o.isHorizontal(),r=!1):"polar"===e.type&&(i="angle"===o.dim,r=!0);var s=t.hostModel,l=s.get("animationDuration");X(l)&&(l=l(null));var u=s.get("animationDelay")||0,h=X(u)?u(null):u;t.eachItemGraphicEl((function(t,o){var s=t;if(s){var c=[t.x,t.y],p=void 0,d=void 0,f=void 0;if(n)if(r){var g=n,y=e.pointToCoord(c);i?(p=g.startAngle,d=g.endAngle,f=-y[1]/180*Math.PI):(p=g.r0,d=g.r,f=y[0])}else{var v=n;i?(p=v.x,d=v.x+v.width,f=t.x):(p=v.y+v.height,d=v.y,f=t.y)}var m=d===p?0:(f-p)/(d-p);a&&(m=1-m);var x=X(u)?u(o):l*m+h,_=s.getSymbolPath(),b=_.getTextContent();s.attr({scaleX:0,scaleY:0}),s.animateTo({scaleX:1,scaleY:1},{duration:200,setToFinal:!0,delay:x}),b&&b.animateFrom({style:{opacity:0}},{duration:300,delay:x}),_.disableLabelAnimation=!0}}))},e.prototype._initOrUpdateEndLabel=function(t,e,n){var i=t.getModel("endLabel");if(WS(t)){var r=t.getData(),o=this._polyline,a=r.getLayout("points");if(!a)return o.removeTextContent(),void(this._endLabel=null);var s=this._endLabel;s||((s=this._endLabel=new Xs({z2:200})).ignoreClip=!0,o.setTextContent(this._endLabel),o.disableLabelAnimation=!0);var l=function(t){for(var e,n,i=t.length/2;i>0&&(e=t[2*i-2],n=t[2*i-1],isNaN(e)||isNaN(n));i--);return i-1}(a);l>=0&&(ic(o,rc(t,"endLabel"),{inheritColor:n,labelFetcher:t,labelDataIndex:l,defaultText:function(t,e,n){return null!=n?dS(r,n):pS(r,t)},enableTextSetter:!0},function(t,e){var n=e.getBaseAxis(),i=n.isHorizontal(),r=n.inverse,o=i?r?"right":"left":"center",a=i?"middle":r?"top":"bottom";return{normal:{align:t.get("align")||o,verticalAlign:t.get("verticalAlign")||a}}}(i,e)),o.textConfig.position=null)}else this._endLabel&&(this._polyline.removeTextContent(),this._endLabel=null)},e.prototype._endLabelOnDuring=function(t,e,n,i,r,o,a){var s=this._endLabel,l=this._polyline;if(s){t<1&&null==i.originalX&&(i.originalX=s.x,i.originalY=s.y);var u=n.getLayout("points"),h=n.hostModel,c=h.get("connectNulls"),p=o.get("precision"),d=o.get("distance")||0,f=a.getBaseAxis(),g=f.isHorizontal(),y=f.inverse,v=e.shape,m=y?g?v.x:v.y+v.height:g?v.x+v.width:v.y,x=(g?d:0)*(y?-1:1),_=(g?0:-d)*(y?-1:1),b=g?"x":"y",w=function(t,e,n){for(var i,r,o=t.length/2,a="x"===n?0:1,s=0,l=-1,u=0;u=e||i>=e&&r<=e){l=u;break}s=u,i=r}else i=r;return{range:[s,l],t:(e-i)/(r-i)}}(u,m,b),S=w.range,M=S[1]-S[0],I=void 0;if(M>=1){if(M>1&&!c){var T=GS(u,S[0]);s.attr({x:T[0]+x,y:T[1]+_}),r&&(I=h.getRawValue(S[0]))}else{(T=l.getPointOn(m,b))&&s.attr({x:T[0]+x,y:T[1]+_});var C=h.getRawValue(S[0]),D=h.getRawValue(S[1]);r&&(I=Zo(n,p,C,D,w.t))}i.lastFrameIndex=S[0]}else{var A=1===t||i.lastFrameIndex>0?S[0]:0;T=GS(u,A);r&&(I=h.getRawValue(A)),s.attr({x:T[0]+x,y:T[1]+_})}if(r){var k=pc(s);"function"==typeof k.setLabelText&&k.setLabelText(I)}}},e.prototype._doUpdateAnimation=function(t,e,n,i,r,o,a){var s=this._polyline,l=this._polygon,u=t.hostModel,h=function(t,e,n,i,r,o,a,s){for(var l=function(t,e){var n=[];return e.diff(t).add((function(t){n.push({cmd:"+",idx:t})})).update((function(t,e){n.push({cmd:"=",idx:e,idx1:t})})).remove((function(t){n.push({cmd:"-",idx:t})})).execute(),n}(t,e),u=[],h=[],c=[],p=[],d=[],f=[],g=[],y=_S(r,e,a),v=t.getLayout("points")||[],m=e.getLayout("points")||[],x=0;x3e3||l&&ES(p,f)>3e3)return s.stopAnimation(),s.setShape({points:d}),void(l&&(l.stopAnimation(),l.setShape({points:d,stackedOnPoints:f})));s.shape.__points=h.current,s.shape.points=c;var g={shape:{points:d}};h.current!==c&&(g.shape.__points=h.next),s.stopAnimation(),vh(s,g,u),l&&(l.setShape({points:c,stackedOnPoints:p}),l.stopAnimation(),vh(l,{shape:{stackedOnPoints:f}},u),s.shape.points!==l.shape.points&&(l.shape.points=s.shape.points));for(var y=[],v=h.status,m=0;me&&(e=t[n]);return isFinite(e)?e:NaN},min:function(t){for(var e=1/0,n=0;ne&&(e=o,n=r)}return isFinite(n)?n:NaN},nearest:function(t){return t[0]}},ZS=function(t){return Math.round(t.length/2)};function jS(t){return{seriesType:t,reset:function(t,e,n){var i=t.getData(),r=t.get("sampling"),o=t.coordinateSystem,a=i.count();if(a>10&&"cartesian2d"===o.type&&r){var s=o.getBaseAxis(),l=o.getOtherAxis(s),u=s.getExtent(),h=n.getDevicePixelRatio(),c=Math.abs(u[1]-u[0])*(h||1),p=Math.round(a/c);if(isFinite(p)&&p>1){"lttb"===r&&t.setData(i.lttbDownSample(i.mapDimension(l.dim),1/p));var d=void 0;U(r)?d=US[r]:X(r)&&(d=r),d&&t.setData(i.downSample(i.mapDimension(l.dim),1/p,d,ZS))}}}}}var qS=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.getInitialData=function(t,e){return _x(null,this,{useEncodeDefaulter:!0})},e.prototype.getMarkerPosition=function(t,e,n){var i=this.coordinateSystem;if(i&&i.clampData){var r=i.clampData(t),o=i.dataToPoint(r);if(n)E(i.getAxes(),(function(t,n){if("category"===t.type&&null!=e){var i=t.getTicksCoords(),a=t.getTickModel().get("alignWithLabel"),s=r[n],l="x1"===e[n]||"y1"===e[n];if(l&&!a&&(s+=1),i.length<2)return;if(2===i.length)return void(o[n]=t.toGlobalCoord(t.getExtent()[l?1:0]));for(var u=void 0,h=void 0,c=1,p=0;ps){h=(d+u)/2;break}1===p&&(c=f-i[0].tickValue)}null==h&&(u?u&&(h=i[i.length-1].coord):h=i[0].coord),o[n]=t.toGlobalCoord(h)}}));else{var a=this.getData(),s=a.getLayout("offset"),l=a.getLayout("size"),u=i.getBaseAxis().isHorizontal()?0:1;o[u]+=s+l/2}return o}return[NaN,NaN]},e.type="series.__base_bar__",e.defaultOption={z:2,coordinateSystem:"cartesian2d",legendHoverLink:!0,barMinHeight:0,barMinAngle:0,large:!1,largeThreshold:400,progressive:3e3,progressiveChunkMode:"mod"},e}(bg);bg.registerClass(qS);var KS=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.getInitialData=function(){return _x(null,this,{useEncodeDefaulter:!0,createInvertedIndices:!!this.get("realtimeSort",!0)||null})},e.prototype.getProgressive=function(){return!!this.get("large")&&this.get("progressive")},e.prototype.getProgressiveThreshold=function(){var t=this.get("progressiveThreshold"),e=this.get("largeThreshold");return e>t&&(t=e),t},e.prototype.brushSelector=function(t,e,n){return n.rect(e.getItemLayout(t))},e.type="series.bar",e.dependencies=["grid","polar"],e.defaultOption=kc(qS.defaultOption,{clip:!0,roundCap:!1,showBackground:!1,backgroundStyle:{color:"rgba(180, 180, 180, 0.2)",borderColor:null,borderWidth:0,borderType:"solid",borderRadius:0,shadowBlur:0,shadowColor:null,shadowOffsetX:0,shadowOffsetY:0,opacity:1},select:{itemStyle:{borderColor:"#212121"}},realtimeSort:!1}),e}(qS),$S=function(){this.cx=0,this.cy=0,this.r0=0,this.r=0,this.startAngle=0,this.endAngle=2*Math.PI,this.clockwise=!0},JS=function(t){function e(e){var n=t.call(this,e)||this;return n.type="sausage",n}return n(e,t),e.prototype.getDefaultShape=function(){return new $S},e.prototype.buildPath=function(t,e){var n=e.cx,i=e.cy,r=Math.max(e.r0||0,0),o=Math.max(e.r,0),a=.5*(o-r),s=r+a,l=e.startAngle,u=e.endAngle,h=e.clockwise,c=2*Math.PI,p=h?u-lo)return!0;o=u}return!1},e.prototype._isOrderDifferentInView=function(t,e){for(var n=e.scale,i=n.getExtent(),r=Math.max(0,i[0]),o=Math.min(i[1],n.getOrdinalMeta().categories.length-1);r<=o;++r)if(t.ordinalNumbers[r]!==n.getRawOrdinalNumber(r))return!0},e.prototype._updateSortWithinSameData=function(t,e,n,i){if(this._isOrderChangedWithinSameData(t,e,n)){var r=this._dataSort(t,n,e);this._isOrderDifferentInView(r,n)&&(this._removeOnRenderedListener(i),i.dispatchAction({type:"changeAxisOrder",componentType:n.dim+"Axis",axisId:n.index,sortInfo:r}))}},e.prototype._dispatchInitSort=function(t,e,n){var i=e.baseAxis,r=this._dataSort(t,i,(function(n){return t.get(t.mapDimension(e.otherAxis.dim),n)}));n.dispatchAction({type:"changeAxisOrder",componentType:i.dim+"Axis",isInitSort:!0,axisId:i.index,sortInfo:r})},e.prototype.remove=function(t,e){this._clear(this._model),this._removeOnRenderedListener(e)},e.prototype.dispose=function(t,e){this._removeOnRenderedListener(e)},e.prototype._removeOnRenderedListener=function(t){this._onRendered&&(t.getZr().off("rendered",this._onRendered),this._onRendered=null)},e.prototype._clear=function(t){var e=this.group,n=this._data;t&&t.isAnimationEnabled()&&n&&!this._isLargeDraw?(this._removeBackground(),this._backgroundEls=[],n.eachItemGraphicEl((function(e){wh(e,t,rl(e).dataIndex)}))):e.removeAll(),this._data=null,this._isFirstFrame=!0},e.prototype._removeBackground=function(){this.group.remove(this._backgroundGroup),this._backgroundGroup=null},e.type="bar",e}(Og),oM={cartesian2d:function(t,e){var n=e.width<0?-1:1,i=e.height<0?-1:1;n<0&&(e.x+=e.width,e.width=-e.width),i<0&&(e.y+=e.height,e.height=-e.height);var r=t.x+t.width,o=t.y+t.height,a=nM(e.x,t.x),s=iM(e.x+e.width,r),l=nM(e.y,t.y),u=iM(e.y+e.height,o),h=sr?s:a,e.y=c&&l>o?u:l,e.width=h?0:s-a,e.height=c?0:u-l,n<0&&(e.x+=e.width,e.width=-e.width),i<0&&(e.y+=e.height,e.height=-e.height),h||c},polar:function(t,e){var n=e.r0<=e.r?1:-1;if(n<0){var i=e.r;e.r=e.r0,e.r0=i}var r=iM(e.r,t.r),o=nM(e.r0,t.r0);e.r=r,e.r0=o;var a=r-o<0;if(n<0){i=e.r;e.r=e.r0,e.r0=i}return a}},aM={cartesian2d:function(t,e,n,i,r,o,a,s,l){var u=new Ws({shape:A({},i),z2:1});(u.__dataIndex=n,u.name="item",o)&&(u.shape[r?"height":"width"]=0);return u},polar:function(t,e,n,i,r,o,a,s,l){var u=!r&&l?JS:Fu,h=new u({shape:i,z2:1});h.name="item";var c,p,d=dM(r);if(h.calculateTextPosition=(c=d,p=({isRoundCap:u===JS}||{}).isRoundCap,function(t,e,n){var i=e.position;if(!i||i instanceof Array)return Dr(t,e,n);var r=c(i),o=null!=e.distance?e.distance:5,a=this.shape,s=a.cx,l=a.cy,u=a.r,h=a.r0,d=(u+h)/2,f=a.startAngle,g=a.endAngle,y=(f+g)/2,v=p?Math.abs(u-h)/2:0,m=Math.cos,x=Math.sin,_=s+u*m(f),b=l+u*x(f),w="left",S="top";switch(r){case"startArc":_=s+(h-o)*m(y),b=l+(h-o)*x(y),w="center",S="top";break;case"insideStartArc":_=s+(h+o)*m(y),b=l+(h+o)*x(y),w="center",S="bottom";break;case"startAngle":_=s+d*m(f)+QS(f,o+v,!1),b=l+d*x(f)+tM(f,o+v,!1),w="right",S="middle";break;case"insideStartAngle":_=s+d*m(f)+QS(f,-o+v,!1),b=l+d*x(f)+tM(f,-o+v,!1),w="left",S="middle";break;case"middle":_=s+d*m(y),b=l+d*x(y),w="center",S="middle";break;case"endArc":_=s+(u+o)*m(y),b=l+(u+o)*x(y),w="center",S="bottom";break;case"insideEndArc":_=s+(u-o)*m(y),b=l+(u-o)*x(y),w="center",S="top";break;case"endAngle":_=s+d*m(g)+QS(g,o+v,!0),b=l+d*x(g)+tM(g,o+v,!0),w="left",S="middle";break;case"insideEndAngle":_=s+d*m(g)+QS(g,-o+v,!0),b=l+d*x(g)+tM(g,-o+v,!0),w="right",S="middle";break;default:return Dr(t,e,n)}return(t=t||{}).x=_,t.y=b,t.align=w,t.verticalAlign=S,t}),o){var f=r?"r":"endAngle",g={};h.shape[f]=r?i.r0:i.startAngle,g[f]=i[f],(s?vh:mh)(h,{shape:g},o)}return h}};function sM(t,e,n,i,r,o,a,s){var l,u;o?(u={x:i.x,width:i.width},l={y:i.y,height:i.height}):(u={y:i.y,height:i.height},l={x:i.x,width:i.width}),s||(a?vh:mh)(n,{shape:l},e,r,null),(a?vh:mh)(n,{shape:u},e?t.baseAxis.model:null,r)}function lM(t,e){for(var n=0;n0?1:-1,a=i.height>0?1:-1;return{x:i.x+o*r/2,y:i.y+a*r/2,width:i.width-o*r,height:i.height-a*r}},polar:function(t,e,n){var i=t.getItemLayout(e);return{cx:i.cx,cy:i.cy,r0:i.r0,r:i.r,startAngle:i.startAngle,endAngle:i.endAngle,clockwise:i.clockwise}}};function dM(t){return function(t){var e=t?"Arc":"Angle";return function(t){switch(t){case"start":case"insideStart":case"end":case"insideEnd":return t+e;default:return t}}}(t)}function fM(t,e,n,i,r,o,a,s){var l=e.getItemVisual(n,"style");if(s){if(!o.get("roundCap")){var u=t.shape;A(u,eM(i.getModel("itemStyle"),u,!0)),t.setShape(u)}}else{var h=i.get(["itemStyle","borderRadius"])||0;t.setShape("r",h)}t.useStyle(l);var c=i.getShallow("cursor");c&&t.attr("cursor",c);var p=s?a?r.r>=r.r0?"endArc":"startArc":r.endAngle>=r.startAngle?"endAngle":"startAngle":a?r.height>=0?"bottom":"top":r.width>=0?"right":"left",d=rc(i);ic(t,d,{labelFetcher:o,labelDataIndex:n,defaultText:pS(o.getData(),n),inheritColor:l.fill,defaultOpacity:l.opacity,defaultOutsidePosition:p});var f=t.getTextContent();if(s&&f){var g=i.get(["label","position"]);t.textConfig.inside="middle"===g||null,function(t,e,n,i){if(j(i))t.setTextConfig({rotation:i});else if(Y(e))t.setTextConfig({rotation:0});else{var r,o=t.shape,a=o.clockwise?o.startAngle:o.endAngle,s=o.clockwise?o.endAngle:o.startAngle,l=(a+s)/2,u=n(e);switch(u){case"startArc":case"insideStartArc":case"middle":case"insideEndArc":case"endArc":r=l;break;case"startAngle":case"insideStartAngle":r=a;break;case"endAngle":case"insideEndAngle":r=s;break;default:return void t.setTextConfig({rotation:0})}var h=1.5*Math.PI-r;"middle"===u&&h>Math.PI/2&&h<1.5*Math.PI&&(h-=Math.PI),t.setTextConfig({rotation:h})}}(t,"outside"===g?p:g,dM(a),i.get(["label","rotate"]))}dc(f,d,o.getRawValue(n),(function(t){return dS(e,t)}));var y=i.getModel(["emphasis"]);Zl(t,y.get("focus"),y.get("blurScope"),y.get("disabled")),$l(t,i),function(t){return null!=t.startAngle&&null!=t.endAngle&&t.startAngle===t.endAngle}(r)&&(t.style.fill="none",t.style.stroke="none",E(t.states,(function(t){t.style&&(t.style.fill=t.style.stroke="none")})))}var gM=function(){},yM=function(t){function e(e){var n=t.call(this,e)||this;return n.type="largeBar",n}return 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e=this.getRawData().tree.root;t&&(t===e||e.contains(t))||(this._viewRoot=e)},e.prototype.enableAriaDecal=function(){pD(this)},e.type="series.treemap",e.layoutMode="box",e.defaultOption={progressive:0,left:"center",top:"middle",width:"80%",height:"80%",sort:!0,clipWindow:"origin",squareRatio:.5*(1+Math.sqrt(5)),leafDepth:null,drillDownIcon:"▶",zoomToNodeRatio:.1024,scaleLimit:null,roam:!0,nodeClick:"zoomToNode",animation:!0,animationDurationUpdate:900,animationEasing:"quinticInOut",breadcrumb:{show:!0,height:22,left:"center",top:"bottom",emptyItemWidth:25,itemStyle:{color:"rgba(0,0,0,0.7)",textStyle:{color:"#fff"}},emphasis:{itemStyle:{color:"rgba(0,0,0,0.9)"}}},label:{show:!0,distance:0,padding:5,position:"inside",color:"#fff",overflow:"truncate"},upperLabel:{show:!1,position:[0,"50%"],height:20,overflow:"truncate",verticalAlign:"middle"},itemStyle:{color:null,colorAlpha:null,colorSaturation:null,borderWidth:0,gapWidth:0,borderColor:"#fff",borderColorSaturation:null},emphasis:{upperLabel:{show:!0,position:[0,"50%"],overflow:"truncate",verticalAlign:"middle"}},visualDimension:0,visualMin:null,visualMax:null,color:[],colorAlpha:null,colorSaturation:null,colorMappingBy:"index",visibleMin:10,childrenVisibleMin:null,levels:[]},e}(bg);function fD(t){var e=0;E(t.children,(function(t){fD(t);var n=t.value;Y(n)&&(n=n[0]),e+=n}));var n=t.value;Y(n)&&(n=n[0]),(null==n||isNaN(n))&&(n=e),n<0&&(n=0),Y(t.value)?t.value[0]=n:t.value=n}var gD=function(){function t(t){this.group=new Br,t.add(this.group)}return t.prototype.render=function(t,e,n,i){var r=t.getModel("breadcrumb"),o=this.group;if(o.removeAll(),r.get("show")&&n){var a=r.getModel("itemStyle"),s=r.getModel("emphasis"),l=a.getModel("textStyle"),u=s.getModel(["itemStyle","textStyle"]),h={pos:{left:r.get("left"),right:r.get("right"),top:r.get("top"),bottom:r.get("bottom")},box:{width:e.getWidth(),height:e.getHeight()},emptyItemWidth:r.get("emptyItemWidth"),totalWidth:0,renderList:[]};this._prepare(n,h,l),this._renderContent(t,h,a,s,l,u,i),Lp(o,h.pos,h.box)}},t.prototype._prepare=function(t,e,n){for(var i=t;i;i=i.parentNode){var r=Ro(i.getModel().get("name"),""),o=n.getTextRect(r),a=Math.max(o.width+16,e.emptyItemWidth);e.totalWidth+=a+8,e.renderList.push({node:i,text:r,width:a})}},t.prototype._renderContent=function(t,e,n,i,r,o,a){for(var s,l,u,h,c,p,d,f,g,y=0,v=e.emptyItemWidth,m=t.get(["breadcrumb","height"]),x=(s=e.pos,l=e.box,h=l.width,c=l.height,p=$r(s.left,h),d=$r(s.top,c),f=$r(s.right,h),g=$r(s.bottom,c),(isNaN(p)||isNaN(parseFloat(s.left)))&&(p=0),(isNaN(f)||isNaN(parseFloat(s.right)))&&(f=h),(isNaN(d)||isNaN(parseFloat(s.top)))&&(d=0),(isNaN(g)||isNaN(parseFloat(s.bottom)))&&(g=c),u=vp(u||0),{width:Math.max(f-p-u[1]-u[3],0),height:Math.max(g-d-u[0]-u[2],0)}),_=e.totalWidth,b=e.renderList,w=i.getModel("itemStyle").getItemStyle(),S=b.length-1;S>=0;S--){var M=b[S],I=M.node,T=M.width,C=M.text;_>x.width&&(_-=T-v,T=v,C=null);var D=new Xu({shape:{points:yD(y,0,T,m,S===b.length-1,0===S)},style:k(n.getItemStyle(),{lineJoin:"bevel"}),textContent:new Xs({style:oc(r,{text:C})}),textConfig:{position:"inside"},z2:1e5,onclick:H(a,I)});D.disableLabelAnimation=!0,D.getTextContent().ensureState("emphasis").style=oc(o,{text:C}),D.ensureState("emphasis").style=w,Zl(D,i.get("focus"),i.get("blurScope"),i.get("disabled")),this.group.add(D),vD(D,t,I),y+=T+8}},t.prototype.remove=function(){this.group.removeAll()},t}();function yD(t,e,n,i,r,o){var a=[[r?t:t-5,e],[t+n,e],[t+n,e+i],[r?t:t-5,e+i]];return!o&&a.splice(2,0,[t+n+5,e+i/2]),!r&&a.push([t,e+i/2]),a}function vD(t,e,n){rl(t).eventData={componentType:"series",componentSubType:"treemap",componentIndex:e.componentIndex,seriesIndex:e.seriesIndex,seriesName:e.name,seriesType:"treemap",selfType:"breadcrumb",nodeData:{dataIndex:n&&n.dataIndex,name:n&&n.name},treePathInfo:n&&aD(n,e)}}var mD=function(){function t(){this._storage=[],this._elExistsMap={}}return t.prototype.add=function(t,e,n,i,r){return!this._elExistsMap[t.id]&&(this._elExistsMap[t.id]=!0,this._storage.push({el:t,target:e,duration:n,delay:i,easing:r}),!0)},t.prototype.finished=function(t){return this._finishedCallback=t,this},t.prototype.start=function(){for(var t=this,e=this._storage.length,n=function(){--e<=0&&(t._storage.length=0,t._elExistsMap={},t._finishedCallback&&t._finishedCallback())},i=0,r=this._storage.length;i3||Math.abs(t.dy)>3)){var e=this.seriesModel.getData().tree.root;if(!e)return;var n=e.getLayout();if(!n)return;this.api.dispatchAction({type:"treemapMove",from:this.uid,seriesId:this.seriesModel.id,rootRect:{x:n.x+t.dx,y:n.y+t.dy,width:n.width,height:n.height}})}},e.prototype._onZoom=function(t){var e=t.originX,n=t.originY,i=t.scale;if("animating"!==this._state){var r=this.seriesModel.getData().tree.root;if(!r)return;var o=r.getLayout();if(!o)return;var a,s=new ze(o.x,o.y,o.width,o.height),l=this._controllerHost;a=l.zoomLimit;var u=l.zoom=l.zoom||1;if(u*=i,a){var h=a.min||0,c=a.max||1/0;u=Math.max(Math.min(c,u),h)}var p=u/l.zoom;l.zoom=u;var d=this.seriesModel.layoutInfo,f=[1,0,0,1,0,0];we(f,f,[-(e-=d.x),-(n-=d.y)]),Me(f,f,[p,p]),we(f,f,[e,n]),s.applyTransform(f),this.api.dispatchAction({type:"treemapRender",from:this.uid,seriesId:this.seriesModel.id,rootRect:{x:s.x,y:s.y,width:s.width,height:s.height}})}},e.prototype._initEvents=function(t){var e=this;t.on("click",(function(t){if("ready"===e._state){var n=e.seriesModel.get("nodeClick",!0);if(n){var i=e.findTarget(t.offsetX,t.offsetY);if(i){var r=i.node;if(r.getLayout().isLeafRoot)e._rootToNode(i);else if("zoomToNode"===n)e._zoomToNode(i);else if("link"===n){var o=r.hostTree.data.getItemModel(r.dataIndex),a=o.get("link",!0),s=o.get("target",!0)||"blank";a&&Mp(a,s)}}}}}),this)},e.prototype._renderBreadcrumb=function(t,e,n){var i=this;n||(n=null!=t.get("leafDepth",!0)?{node:t.getViewRoot()}:this.findTarget(e.getWidth()/2,e.getHeight()/2))||(n={node:t.getData().tree.root}),(this._breadcrumb||(this._breadcrumb=new gD(this.group))).render(t,e,n.node,(function(e){"animating"!==i._state&&(oD(t.getViewRoot(),e)?i._rootToNode({node:e}):i._zoomToNode({node:e}))}))},e.prototype.remove=function(){this._clearController(),this._containerGroup&&this._containerGroup.removeAll(),this._storage={nodeGroup:[],background:[],content:[]},this._state="ready",this._breadcrumb&&this._breadcrumb.remove()},e.prototype.dispose=function(){this._clearController()},e.prototype._zoomToNode=function(t){this.api.dispatchAction({type:"treemapZoomToNode",from:this.uid,seriesId:this.seriesModel.id,targetNode:t.node})},e.prototype._rootToNode=function(t){this.api.dispatchAction({type:"treemapRootToNode",from:this.uid,seriesId:this.seriesModel.id,targetNode:t.node})},e.prototype.findTarget=function(t,e){var n;return this.seriesModel.getViewRoot().eachNode({attr:"viewChildren",order:"preorder"},(function(i){var r=this._storage.background[i.getRawIndex()];if(r){var o=r.transformCoordToLocal(t,e),a=r.shape;if(!(a.x<=o[0]&&o[0]<=a.x+a.width&&a.y<=o[1]&&o[1]<=a.y+a.height))return!1;n={node:i,offsetX:o[0],offsetY:o[1]}}}),this),n},e.type="treemap",e}(Og);var CD=E,DD=q,AD=-1,kD=function(){function t(e){var n=e.mappingMethod,i=e.type,r=this.option=T(e);this.type=i,this.mappingMethod=n,this._normalizeData=FD[n];var o=t.visualHandlers[i];this.applyVisual=o.applyVisual,this.getColorMapper=o.getColorMapper,this._normalizedToVisual=o._normalizedToVisual[n],"piecewise"===n?(LD(r),function(t){var e=t.pieceList;t.hasSpecialVisual=!1,E(e,(function(e,n){e.originIndex=n,null!=e.visual&&(t.hasSpecialVisual=!0)}))}(r)):"category"===n?r.categories?function(t){var e=t.categories,n=t.categoryMap={},i=t.visual;if(CD(e,(function(t,e){n[t]=e})),!Y(i)){var r=[];q(i)?CD(i,(function(t,e){var i=n[e];r[null!=i?i:AD]=t})):r[-1]=i,i=BD(t,r)}for(var o=e.length-1;o>=0;o--)null==i[o]&&(delete n[e[o]],e.pop())}(r):LD(r,!0):(lt("linear"!==n||r.dataExtent),LD(r))}return t.prototype.mapValueToVisual=function(t){var e=this._normalizeData(t);return this._normalizedToVisual(e,t)},t.prototype.getNormalizer=function(){return W(this._normalizeData,this)},t.listVisualTypes=function(){return G(t.visualHandlers)},t.isValidType=function(e){return t.visualHandlers.hasOwnProperty(e)},t.eachVisual=function(t,e,n){q(t)?E(t,e,n):e.call(n,t)},t.mapVisual=function(e,n,i){var r,o=Y(e)?[]:q(e)?{}:(r=!0,null);return t.eachVisual(e,(function(t,e){var a=n.call(i,t,e);r?o=a:o[e]=a})),o},t.retrieveVisuals=function(e){var n,i={};return e&&CD(t.visualHandlers,(function(t,r){e.hasOwnProperty(r)&&(i[r]=e[r],n=!0)})),n?i:null},t.prepareVisualTypes=function(t){if(Y(t))t=t.slice();else{if(!DD(t))return[];var e=[];CD(t,(function(t,n){e.push(n)})),t=e}return t.sort((function(t,e){return"color"===e&&"color"!==t&&0===t.indexOf("color")?1:-1})),t},t.dependsOn=function(t,e){return"color"===e?!(!t||0!==t.indexOf(e)):t===e},t.findPieceIndex=function(t,e,n){for(var i,r=1/0,o=0,a=e.length;ou[1]&&(u[1]=l);var h=e.get("colorMappingBy"),c={type:a.name,dataExtent:u,visual:a.range};"color"!==c.type||"index"!==h&&"id"!==h?c.mappingMethod="linear":(c.mappingMethod="category",c.loop=!0);var p=new kD(c);return WD(p).drColorMappingBy=h,p}(0,r,o,0,u,d);E(d,(function(t,e){if(t.depth>=n.length||t===n[t.depth]){var o=function(t,e,n,i,r,o){var a=A({},e);if(r){var s=r.type,l="color"===s&&WD(r).drColorMappingBy,u="index"===l?i:"id"===l?o.mapIdToIndex(n.getId()):n.getValue(t.get("visualDimension"));a[s]=r.mapValueToVisual(u)}return a}(r,u,t,e,f,i);YD(t,o,n,i)}}))}else s=XD(u),h.fill=s}}function XD(t){var e=UD(t,"color");if(e){var n=UD(t,"colorAlpha"),i=UD(t,"colorSaturation");return i&&(e=ni(e,null,null,i)),n&&(e=ii(e,n)),e}}function UD(t,e){var n=t[e];if(null!=n&&"none"!==n)return n}function ZD(t,e){var n=t.get(e);return Y(n)&&n.length?{name:e,range:n}:null}var jD=Math.max,qD=Math.min,KD=it,$D=E,JD=["itemStyle","borderWidth"],QD=["itemStyle","gapWidth"],tA=["upperLabel","show"],eA=["upperLabel","height"],nA={seriesType:"treemap",reset:function(t,e,n,i){var r=n.getWidth(),o=n.getHeight(),a=t.option,s=kp(t.getBoxLayoutParams(),{width:n.getWidth(),height:n.getHeight()}),l=a.size||[],u=$r(KD(s.width,l[0]),r),h=$r(KD(s.height,l[1]),o),c=i&&i.type,p=iD(i,["treemapZoomToNode","treemapRootToNode"],t),d="treemapRender"===c||"treemapMove"===c?i.rootRect:null,f=t.getViewRoot(),g=rD(f);if("treemapMove"!==c){var y="treemapZoomToNode"===c?function(t,e,n,i,r){var o,a=(e||{}).node,s=[i,r];if(!a||a===n)return s;var l=i*r,u=l*t.option.zoomToNodeRatio;for(;o=a.parentNode;){for(var h=0,c=o.children,p=0,d=c.length;poo&&(u=oo),a=o}ua[1]&&(a[1]=e)}))):a=[NaN,NaN];return{sum:i,dataExtent:a}}(e,a,s);if(0===u.sum)return t.viewChildren=[];if(u.sum=function(t,e,n,i,r){if(!i)return n;for(var o=t.get("visibleMin"),a=r.length,s=a,l=a-1;l>=0;l--){var u=r["asc"===i?a-l-1:l].getValue();u/n*ei&&(i=a));var l=t.area*t.area,u=e*e*n;return l?jD(u*i/l,l/(u*r)):1/0}function oA(t,e,n,i,r){var o=e===n.width?0:1,a=1-o,s=["x","y"],l=["width","height"],u=n[s[o]],h=e?t.area/e:0;(r||h>n[l[a]])&&(h=n[l[a]]);for(var c=0,p=t.length;ci&&(i=e);var o=i%2?i+2:i+3;r=[];for(var a=0;a0&&(m[0]=-m[0],m[1]=-m[1]);var _=v[0]<0?-1:1;if("start"!==i.__position&&"end"!==i.__position){var b=-Math.atan2(v[1],v[0]);u[0].8?"left":h[0]<-.8?"right":"center",p=h[1]>.8?"top":h[1]<-.8?"bottom":"middle";break;case"start":i.x=-h[0]*f+l[0],i.y=-h[1]*g+l[1],c=h[0]>.8?"right":h[0]<-.8?"left":"center",p=h[1]>.8?"bottom":h[1]<-.8?"top":"middle";break;case"insideStartTop":case"insideStart":case"insideStartBottom":i.x=f*_+l[0],i.y=l[1]+w,c=v[0]<0?"right":"left",i.originX=-f*_,i.originY=-w;break;case"insideMiddleTop":case"insideMiddle":case"insideMiddleBottom":case"middle":i.x=x[0],i.y=x[1]+w,c="center",i.originY=-w;break;case"insideEndTop":case"insideEnd":case"insideEndBottom":i.x=-f*_+u[0],i.y=u[1]+w,c=v[0]>=0?"right":"left",i.originX=f*_,i.originY=-w}i.scaleX=i.scaleY=r,i.setStyle({verticalAlign:i.__verticalAlign||p,align:i.__align||c})}}}function S(t,e){var n=t.__specifiedRotation;if(null==n){var i=a.tangentAt(e);t.attr("rotation",(1===e?-1:1)*Math.PI/2-Math.atan2(i[1],i[0]))}else t.attr("rotation",n)}},e}(Br),YA=function(){function t(t){this.group=new Br,this._LineCtor=t||HA}return t.prototype.updateData=function(t){var e=this;this._progressiveEls=null;var n=this,i=n.group,r=n._lineData;n._lineData=t,r||i.removeAll();var o=XA(t);t.diff(r).add((function(n){e._doAdd(t,n,o)})).update((function(n,i){e._doUpdate(r,t,i,n,o)})).remove((function(t){i.remove(r.getItemGraphicEl(t))})).execute()},t.prototype.updateLayout=function(){var t=this._lineData;t&&t.eachItemGraphicEl((function(e,n){e.updateLayout(t,n)}),this)},t.prototype.incrementalPrepareUpdate=function(t){this._seriesScope=XA(t),this._lineData=null,this.group.removeAll()},t.prototype.incrementalUpdate=function(t,e){function n(t){t.isGroup||function(t){return t.animators&&t.animators.length>0}(t)||(t.incremental=!0,t.ensureState("emphasis").hoverLayer=!0)}this._progressiveEls=[];for(var i=t.start;i=0?i+=u:i-=u:f>=0?i-=u:i+=u}return i}function ek(t,e){var n=[],i=Dn,r=[[],[],[]],o=[[],[]],a=[];e/=2,t.eachEdge((function(t,s){var l=t.getLayout(),u=t.getVisual("fromSymbol"),h=t.getVisual("toSymbol");l.__original||(l.__original=[Tt(l[0]),Tt(l[1])],l[2]&&l.__original.push(Tt(l[2])));var c=l.__original;if(null!=l[2]){if(It(r[0],c[0]),It(r[1],c[2]),It(r[2],c[1]),u&&"none"!==u){var p=SA(t.node1),d=tk(r,c[0],p*e);i(r[0][0],r[1][0],r[2][0],d,n),r[0][0]=n[3],r[1][0]=n[4],i(r[0][1],r[1][1],r[2][1],d,n),r[0][1]=n[3],r[1][1]=n[4]}if(h&&"none"!==h){p=SA(t.node2),d=tk(r,c[1],p*e);i(r[0][0],r[1][0],r[2][0],d,n),r[1][0]=n[1],r[2][0]=n[2],i(r[0][1],r[1][1],r[2][1],d,n),r[1][1]=n[1],r[2][1]=n[2]}It(l[0],r[0]),It(l[1],r[2]),It(l[2],r[1])}else{if(It(o[0],c[0]),It(o[1],c[1]),kt(a,o[1],o[0]),Et(a,a),u&&"none"!==u){p=SA(t.node1);At(o[0],o[0],a,p*e)}if(h&&"none"!==h){p=SA(t.node2);At(o[1],o[1],a,-p*e)}It(l[0],o[0]),It(l[1],o[1])}}))}function nk(t){return"view"===t.type}var ik=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.init=function(t,e){var n=new xS,i=new YA,r=this.group;this._controller=new nT(e.getZr()),this._controllerHost={target:r},r.add(n.group),r.add(i.group),this._symbolDraw=n,this._lineDraw=i,this._firstRender=!0},e.prototype.render=function(t,e,n){var i=this,r=t.coordinateSystem;this._model=t;var o=this._symbolDraw,a=this._lineDraw,s=this.group;if(nk(r)){var l={x:r.x,y:r.y,scaleX:r.scaleX,scaleY:r.scaleY};this._firstRender?s.attr(l):vh(s,l,t)}ek(t.getGraph(),wA(t));var u=t.getData();o.updateData(u);var h=t.getEdgeData();a.updateData(h),this._updateNodeAndLinkScale(),this._updateController(t,e,n),clearTimeout(this._layoutTimeout);var c=t.forceLayout,p=t.get(["force","layoutAnimation"]);c&&this._startForceLayoutIteration(c,p);var d=t.get("layout");u.graph.eachNode((function(e){var n=e.dataIndex,r=e.getGraphicEl(),o=e.getModel();if(r){r.off("drag").off("dragend");var a=o.get("draggable");a&&r.on("drag",(function(o){switch(d){case"force":c.warmUp(),!i._layouting&&i._startForceLayoutIteration(c,p),c.setFixed(n),u.setItemLayout(n,[r.x,r.y]);break;case"circular":u.setItemLayout(n,[r.x,r.y]),e.setLayout({fixed:!0},!0),TA(t,"symbolSize",e,[o.offsetX,o.offsetY]),i.updateLayout(t);break;default:u.setItemLayout(n,[r.x,r.y]),_A(t.getGraph(),t),i.updateLayout(t)}})).on("dragend",(function(){c&&c.setUnfixed(n)})),r.setDraggable(a,!!o.get("cursor")),"adjacency"===o.get(["emphasis","focus"])&&(rl(r).focus=e.getAdjacentDataIndices())}})),u.graph.eachEdge((function(t){var e=t.getGraphicEl(),n=t.getModel().get(["emphasis","focus"]);e&&"adjacency"===n&&(rl(e).focus={edge:[t.dataIndex],node:[t.node1.dataIndex,t.node2.dataIndex]})}));var f="circular"===t.get("layout")&&t.get(["circular","rotateLabel"]),g=u.getLayout("cx"),y=u.getLayout("cy");u.graph.eachNode((function(t){DA(t,f,g,y)})),this._firstRender=!1},e.prototype.dispose=function(){this.remove(),this._controller&&this._controller.dispose(),this._controllerHost=null},e.prototype._startForceLayoutIteration=function(t,e){var n=this;!function i(){t.step((function(t){n.updateLayout(n._model),(n._layouting=!t)&&(e?n._layoutTimeout=setTimeout(i,16):i())}))}()},e.prototype._updateController=function(t,e,n){var i=this,r=this._controller,o=this._controllerHost,a=this.group;r.setPointerChecker((function(e,i,r){var o=a.getBoundingRect();return o.applyTransform(a.transform),o.contain(i,r)&&!hT(e,n,t)})),nk(t.coordinateSystem)?(r.enable(t.get("roam")),o.zoomLimit=t.get("scaleLimit"),o.zoom=t.coordinateSystem.getZoom(),r.off("pan").off("zoom").on("pan",(function(e){aT(o,e.dx,e.dy),n.dispatchAction({seriesId:t.id,type:"graphRoam",dx:e.dx,dy:e.dy})})).on("zoom",(function(e){sT(o,e.scale,e.originX,e.originY),n.dispatchAction({seriesId:t.id,type:"graphRoam",zoom:e.scale,originX:e.originX,originY:e.originY}),i._updateNodeAndLinkScale(),ek(t.getGraph(),wA(t)),i._lineDraw.updateLayout(),n.updateLabelLayout()}))):r.disable()},e.prototype._updateNodeAndLinkScale=function(){var t=this._model,e=t.getData(),n=wA(t);e.eachItemGraphicEl((function(t,e){t&&t.setSymbolScale(n)}))},e.prototype.updateLayout=function(t){ek(t.getGraph(),wA(t)),this._symbolDraw.updateLayout(),this._lineDraw.updateLayout()},e.prototype.remove=function(){clearTimeout(this._layoutTimeout),this._layouting=!1,this._layoutTimeout=null,this._symbolDraw&&this._symbolDraw.remove(),this._lineDraw&&this._lineDraw.remove()},e.type="graph",e}(Og);function rk(t){return"_EC_"+t}var ok=function(){function t(t){this.type="graph",this.nodes=[],this.edges=[],this._nodesMap={},this._edgesMap={},this._directed=t||!1}return t.prototype.isDirected=function(){return this._directed},t.prototype.addNode=function(t,e){t=null==t?""+e:""+t;var n=this._nodesMap;if(!n[rk(t)]){var i=new ak(t,e);return i.hostGraph=this,this.nodes.push(i),n[rk(t)]=i,i}},t.prototype.getNodeByIndex=function(t){var e=this.data.getRawIndex(t);return this.nodes[e]},t.prototype.getNodeById=function(t){return this._nodesMap[rk(t)]},t.prototype.addEdge=function(t,e,n){var i=this._nodesMap,r=this._edgesMap;if(j(t)&&(t=this.nodes[t]),j(e)&&(e=this.nodes[e]),t instanceof ak||(t=i[rk(t)]),e instanceof ak||(e=i[rk(e)]),t&&e){var o=t.id+"-"+e.id,a=new sk(t,e,n);return a.hostGraph=this,this._directed&&(t.outEdges.push(a),e.inEdges.push(a)),t.edges.push(a),t!==e&&e.edges.push(a),this.edges.push(a),r[o]=a,a}},t.prototype.getEdgeByIndex=function(t){var e=this.edgeData.getRawIndex(t);return this.edges[e]},t.prototype.getEdge=function(t,e){t instanceof ak&&(t=t.id),e instanceof ak&&(e=e.id);var n=this._edgesMap;return this._directed?n[t+"-"+e]:n[t+"-"+e]||n[e+"-"+t]},t.prototype.eachNode=function(t,e){for(var n=this.nodes,i=n.length,r=0;r=0&&t.call(e,n[r],r)},t.prototype.eachEdge=function(t,e){for(var n=this.edges,i=n.length,r=0;r=0&&n[r].node1.dataIndex>=0&&n[r].node2.dataIndex>=0&&t.call(e,n[r],r)},t.prototype.breadthFirstTraverse=function(t,e,n,i){if(e instanceof ak||(e=this._nodesMap[rk(e)]),e){for(var r="out"===n?"outEdges":"in"===n?"inEdges":"edges",o=0;o=0&&n.node2.dataIndex>=0}));for(r=0,o=i.length;r=0&&this[t][e].setItemVisual(this.dataIndex,n,i)},getVisual:function(n){return this[t][e].getItemVisual(this.dataIndex,n)},setLayout:function(n,i){this.dataIndex>=0&&this[t][e].setItemLayout(this.dataIndex,n,i)},getLayout:function(){return this[t][e].getItemLayout(this.dataIndex)},getGraphicEl:function(){return this[t][e].getItemGraphicEl(this.dataIndex)},getRawIndex:function(){return this[t][e].getRawIndex(this.dataIndex)}}}function uk(t,e,n,i,r){for(var o=new ok(i),a=0;a "+p)),u++)}var d,f=n.get("coordinateSystem");if("cartesian2d"===f||"polar"===f)d=_x(t,n);else{var g=wd.get(f),y=g&&g.dimensions||[];P(y,"value")<0&&y.concat(["value"]);var v=px(t,{coordDimensions:y,encodeDefine:n.getEncode()}).dimensions;(d=new cx(v,n)).initData(t)}var m=new cx(["value"],n);return m.initData(l,s),r&&r(d,m),ZC({mainData:d,struct:o,structAttr:"graph",datas:{node:d,edge:m},datasAttr:{node:"data",edge:"edgeData"}}),o.update(),o}R(ak,lk("hostGraph","data")),R(sk,lk("hostGraph","edgeData"));var hk=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.hasSymbolVisual=!0,n}return n(e,t),e.prototype.init=function(e){t.prototype.init.apply(this,arguments);var n=this;function i(){return n._categoriesData}this.legendVisualProvider=new NM(i,i),this.fillDataTextStyle(e.edges||e.links),this._updateCategoriesData()},e.prototype.mergeOption=function(e){t.prototype.mergeOption.apply(this,arguments),this.fillDataTextStyle(e.edges||e.links),this._updateCategoriesData()},e.prototype.mergeDefaultAndTheme=function(e){t.prototype.mergeDefaultAndTheme.apply(this,arguments),Co(e,"edgeLabel",["show"])},e.prototype.getInitialData=function(t,e){var n,i=t.edges||t.links||[],r=t.data||t.nodes||[],o=this;if(r&&i){dA(n=this)&&(n.__curvenessList=[],n.__edgeMap={},fA(n));var a=uk(r,i,this,!0,(function(t,e){t.wrapMethod("getItemModel",(function(t){var e=o._categoriesModels[t.getShallow("category")];return e&&(e.parentModel=t.parentModel,t.parentModel=e),t}));var n=Cc.prototype.getModel;function i(t,e){var i=n.call(this,t,e);return i.resolveParentPath=r,i}function r(t){if(t&&("label"===t[0]||"label"===t[1])){var e=t.slice();return"label"===t[0]?e[0]="edgeLabel":"label"===t[1]&&(e[1]="edgeLabel"),e}return t}e.wrapMethod("getItemModel",(function(t){return t.resolveParentPath=r,t.getModel=i,t}))}));return E(a.edges,(function(t){!function(t,e,n,i){if(dA(n)){var r=gA(t,e,n),o=n.__edgeMap,a=o[yA(r)];o[r]&&!a?o[r].isForward=!0:a&&o[r]&&(a.isForward=!0,o[r].isForward=!1),o[r]=o[r]||[],o[r].push(i)}}(t.node1,t.node2,this,t.dataIndex)}),this),a.data}},e.prototype.getGraph=function(){return this.getData().graph},e.prototype.getEdgeData=function(){return this.getGraph().edgeData},e.prototype.getCategoriesData=function(){return this._categoriesData},e.prototype.formatTooltip=function(t,e,n){if("edge"===n){var i=this.getData(),r=this.getDataParams(t,n),o=i.graph.getEdgeByIndex(t),a=i.getName(o.node1.dataIndex),s=i.getName(o.node2.dataIndex),l=[];return null!=a&&l.push(a),null!=s&&l.push(s),og("nameValue",{name:l.join(" > "),value:r.value,noValue:null==r.value})}return vg({series:this,dataIndex:t,multipleSeries:e})},e.prototype._updateCategoriesData=function(){var t=z(this.option.categories||[],(function(t){return null!=t.value?t:A({value:0},t)})),e=new cx(["value"],this);e.initData(t),this._categoriesData=e,this._categoriesModels=e.mapArray((function(t){return e.getItemModel(t)}))},e.prototype.setZoom=function(t){this.option.zoom=t},e.prototype.setCenter=function(t){this.option.center=t},e.prototype.isAnimationEnabled=function(){return t.prototype.isAnimationEnabled.call(this)&&!("force"===this.get("layout")&&this.get(["force","layoutAnimation"]))},e.type="series.graph",e.dependencies=["grid","polar","geo","singleAxis","calendar"],e.defaultOption={z:2,coordinateSystem:"view",legendHoverLink:!0,layout:null,circular:{rotateLabel:!1},force:{initLayout:null,repulsion:[0,50],gravity:.1,friction:.6,edgeLength:30,layoutAnimation:!0},left:"center",top:"center",symbol:"circle",symbolSize:10,edgeSymbol:["none","none"],edgeSymbolSize:10,edgeLabel:{position:"middle",distance:5},draggable:!1,roam:!1,center:null,zoom:1,nodeScaleRatio:.6,label:{show:!1,formatter:"{b}"},itemStyle:{},lineStyle:{color:"#aaa",width:1,opacity:.5},emphasis:{scale:!0,label:{show:!0}},select:{itemStyle:{borderColor:"#212121"}}},e}(bg),ck={type:"graphRoam",event:"graphRoam",update:"none"};var pk=function(){this.angle=0,this.width=10,this.r=10,this.x=0,this.y=0},dk=function(t){function e(e){var n=t.call(this,e)||this;return n.type="pointer",n}return n(e,t),e.prototype.getDefaultShape=function(){return new pk},e.prototype.buildPath=function(t,e){var n=Math.cos,i=Math.sin,r=e.r,o=e.width,a=e.angle,s=e.x-n(a)*o*(o>=r/3?1:2),l=e.y-i(a)*o*(o>=r/3?1:2);a=e.angle-Math.PI/2,t.moveTo(s,l),t.lineTo(e.x+n(a)*o,e.y+i(a)*o),t.lineTo(e.x+n(e.angle)*r,e.y+i(e.angle)*r),t.lineTo(e.x-n(a)*o,e.y-i(a)*o),t.lineTo(s,l)},e}(ks);function fk(t,e){var n=null==t?"":t+"";return e&&(U(e)?n=e.replace("{value}",n):X(e)&&(n=e(t))),n}var gk=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.render=function(t,e,n){this.group.removeAll();var i=t.get(["axisLine","lineStyle","color"]),r=function(t,e){var n=t.get("center"),i=e.getWidth(),r=e.getHeight(),o=Math.min(i,r);return{cx:$r(n[0],e.getWidth()),cy:$r(n[1],e.getHeight()),r:$r(t.get("radius"),o/2)}}(t,n);this._renderMain(t,e,n,i,r),this._data=t.getData()},e.prototype.dispose=function(){},e.prototype._renderMain=function(t,e,n,i,r){var o=this.group,a=t.get("clockwise"),s=-t.get("startAngle")/180*Math.PI,l=-t.get("endAngle")/180*Math.PI,u=t.getModel("axisLine"),h=u.get("roundCap")?JS:Fu,c=u.get("show"),p=u.getModel("lineStyle"),d=p.get("width"),f=[s,l];us(f,!a);for(var g=(l=f[1])-(s=f[0]),y=s,v=[],m=0;c&&m=t&&(0===e?0:i[e-1][0])Math.PI/2&&(V+=Math.PI):"tangential"===z?V=-M-Math.PI/2:j(z)&&(V=z*Math.PI/180),0===V?c.add(new Xs({style:oc(x,{text:O,x:N,y:E,verticalAlign:h<-.8?"top":h>.8?"bottom":"middle",align:u<-.4?"left":u>.4?"right":"center"},{inheritColor:R}),silent:!0})):c.add(new Xs({style:oc(x,{text:O,x:N,y:E,verticalAlign:"middle",align:"center"},{inheritColor:R}),silent:!0,originX:N,originY:E,rotation:V}))}if(m.get("show")&&k!==_){P=(P=m.get("distance"))?P+l:l;for(var B=0;B<=b;B++){u=Math.cos(M),h=Math.sin(M);var F=new Ku({shape:{x1:u*(f-P)+p,y1:h*(f-P)+d,x2:u*(f-S-P)+p,y2:h*(f-S-P)+d},silent:!0,style:D});"auto"===D.stroke&&F.setStyle({stroke:i((k+B/b)/_)}),c.add(F),M+=T}M-=T}else M+=I}},e.prototype._renderPointer=function(t,e,n,i,r,o,a,s,l){var u=this.group,h=this._data,c=this._progressEls,p=[],d=t.get(["pointer","show"]),f=t.getModel("progress"),g=f.get("show"),y=t.getData(),v=y.mapDimension("value"),m=+t.get("min"),x=+t.get("max"),_=[m,x],b=[o,a];function w(e,n){var i,o=y.getItemModel(e).getModel("pointer"),a=$r(o.get("width"),r.r),s=$r(o.get("length"),r.r),l=t.get(["pointer","icon"]),u=o.get("offsetCenter"),h=$r(u[0],r.r),c=$r(u[1],r.r),p=o.get("keepAspect");return(i=l?Xy(l,h-a/2,c-s,a,s,null,p):new dk({shape:{angle:-Math.PI/2,width:a,r:s,x:h,y:c}})).rotation=-(n+Math.PI/2),i.x=r.cx,i.y=r.cy,i}function S(t,e){var n=f.get("roundCap")?JS:Fu,i=f.get("overlap"),a=i?f.get("width"):l/y.count(),u=i?r.r-a:r.r-(t+1)*a,h=i?r.r:r.r-t*a,c=new n({shape:{startAngle:o,endAngle:e,cx:r.cx,cy:r.cy,clockwise:s,r0:u,r:h}});return i&&(c.z2=x-y.get(v,t)%x),c}(g||d)&&(y.diff(h).add((function(e){var n=y.get(v,e);if(d){var i=w(e,o);mh(i,{rotation:-((isNaN(+n)?b[0]:Kr(n,_,b,!0))+Math.PI/2)},t),u.add(i),y.setItemGraphicEl(e,i)}if(g){var r=S(e,o),a=f.get("clip");mh(r,{shape:{endAngle:Kr(n,_,b,a)}},t),u.add(r),ol(t.seriesIndex,y.dataType,e,r),p[e]=r}})).update((function(e,n){var i=y.get(v,e);if(d){var r=h.getItemGraphicEl(n),a=r?r.rotation:o,s=w(e,a);s.rotation=a,vh(s,{rotation:-((isNaN(+i)?b[0]:Kr(i,_,b,!0))+Math.PI/2)},t),u.add(s),y.setItemGraphicEl(e,s)}if(g){var l=c[n],m=S(e,l?l.shape.endAngle:o),x=f.get("clip");vh(m,{shape:{endAngle:Kr(i,_,b,x)}},t),u.add(m),ol(t.seriesIndex,y.dataType,e,m),p[e]=m}})).execute(),y.each((function(t){var e=y.getItemModel(t),n=e.getModel("emphasis"),r=n.get("focus"),o=n.get("blurScope"),a=n.get("disabled");if(d){var s=y.getItemGraphicEl(t),l=y.getItemVisual(t,"style"),u=l.fill;if(s instanceof Ns){var h=s.style;s.useStyle(A({image:h.image,x:h.x,y:h.y,width:h.width,height:h.height},l))}else s.useStyle(l),"pointer"!==s.type&&s.setColor(u);s.setStyle(e.getModel(["pointer","itemStyle"]).getItemStyle()),"auto"===s.style.fill&&s.setStyle("fill",i(Kr(y.get(v,t),_,[0,1],!0))),s.z2EmphasisLift=0,$l(s,e),Zl(s,r,o,a)}if(g){var c=p[t];c.useStyle(y.getItemVisual(t,"style")),c.setStyle(e.getModel(["progress","itemStyle"]).getItemStyle()),c.z2EmphasisLift=0,$l(c,e),Zl(c,r,o,a)}})),this._progressEls=p)},e.prototype._renderAnchor=function(t,e){var n=t.getModel("anchor");if(n.get("show")){var i=n.get("size"),r=n.get("icon"),o=n.get("offsetCenter"),a=n.get("keepAspect"),s=Xy(r,e.cx-i/2+$r(o[0],e.r),e.cy-i/2+$r(o[1],e.r),i,i,null,a);s.z2=n.get("showAbove")?1:0,s.setStyle(n.getModel("itemStyle").getItemStyle()),this.group.add(s)}},e.prototype._renderTitleAndDetail=function(t,e,n,i,r){var o=this,a=t.getData(),s=a.mapDimension("value"),l=+t.get("min"),u=+t.get("max"),h=new Br,c=[],p=[],d=t.isAnimationEnabled(),f=t.get(["pointer","showAbove"]);a.diff(this._data).add((function(t){c[t]=new Xs({silent:!0}),p[t]=new Xs({silent:!0})})).update((function(t,e){c[t]=o._titleEls[e],p[t]=o._detailEls[e]})).execute(),a.each((function(e){var n=a.getItemModel(e),o=a.get(s,e),g=new Br,y=i(Kr(o,[l,u],[0,1],!0)),v=n.getModel("title");if(v.get("show")){var m=v.get("offsetCenter"),x=r.cx+$r(m[0],r.r),_=r.cy+$r(m[1],r.r);(D=c[e]).attr({z2:f?0:2,style:oc(v,{x:x,y:_,text:a.getName(e),align:"center",verticalAlign:"middle"},{inheritColor:y})}),g.add(D)}var b=n.getModel("detail");if(b.get("show")){var w=b.get("offsetCenter"),S=r.cx+$r(w[0],r.r),M=r.cy+$r(w[1],r.r),I=$r(b.get("width"),r.r),T=$r(b.get("height"),r.r),C=t.get(["progress","show"])?a.getItemVisual(e,"style").fill:y,D=p[e],A=b.get("formatter");D.attr({z2:f?0:2,style:oc(b,{x:S,y:M,text:fk(o,A),width:isNaN(I)?null:I,height:isNaN(T)?null:T,align:"center",verticalAlign:"middle"},{inheritColor:C})}),dc(D,{normal:b},o,(function(t){return fk(t,A)})),d&&fc(D,e,a,t,{getFormattedLabel:function(t,e,n,i,r,a){return fk(a?a.interpolatedValue:o,A)}}),g.add(D)}h.add(g)})),this.group.add(h),this._titleEls=c,this._detailEls=p},e.type="gauge",e}(Og),yk=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.visualStyleAccessPath="itemStyle",n}return n(e,t),e.prototype.getInitialData=function(t,e){return RM(this,["value"])},e.type="series.gauge",e.defaultOption={z:2,colorBy:"data",center:["50%","50%"],legendHoverLink:!0,radius:"75%",startAngle:225,endAngle:-45,clockwise:!0,min:0,max:100,splitNumber:10,axisLine:{show:!0,roundCap:!1,lineStyle:{color:[[1,"#E6EBF8"]],width:10}},progress:{show:!1,overlap:!0,width:10,roundCap:!1,clip:!0},splitLine:{show:!0,length:10,distance:10,lineStyle:{color:"#63677A",width:3,type:"solid"}},axisTick:{show:!0,splitNumber:5,length:6,distance:10,lineStyle:{color:"#63677A",width:1,type:"solid"}},axisLabel:{show:!0,distance:15,color:"#464646",fontSize:12,rotate:0},pointer:{icon:null,offsetCenter:[0,0],show:!0,showAbove:!0,length:"60%",width:6,keepAspect:!1},anchor:{show:!1,showAbove:!1,size:6,icon:"circle",offsetCenter:[0,0],keepAspect:!1,itemStyle:{color:"#fff",borderWidth:0,borderColor:"#5470c6"}},title:{show:!0,offsetCenter:[0,"20%"],color:"#464646",fontSize:16,valueAnimation:!1},detail:{show:!0,backgroundColor:"rgba(0,0,0,0)",borderWidth:0,borderColor:"#ccc",width:100,height:null,padding:[5,10],offsetCenter:[0,"40%"],color:"#464646",fontSize:30,fontWeight:"bold",lineHeight:30,valueAnimation:!1}},e}(bg);var vk=["itemStyle","opacity"],mk=function(t){function e(e,n){var i=t.call(this)||this,r=i,o=new Zu,a=new Xs;return r.setTextContent(a),i.setTextGuideLine(o),i.updateData(e,n,!0),i}return n(e,t),e.prototype.updateData=function(t,e,n){var i=this,r=t.hostModel,o=t.getItemModel(e),a=t.getItemLayout(e),s=o.getModel("emphasis"),l=o.get(vk);l=null==l?1:l,n||Sh(i),i.useStyle(t.getItemVisual(e,"style")),i.style.lineJoin="round",n?(i.setShape({points:a.points}),i.style.opacity=0,mh(i,{style:{opacity:l}},r,e)):vh(i,{style:{opacity:l},shape:{points:a.points}},r,e),$l(i,o),this._updateLabel(t,e),Zl(this,s.get("focus"),s.get("blurScope"),s.get("disabled"))},e.prototype._updateLabel=function(t,e){var n=this,i=this.getTextGuideLine(),r=n.getTextContent(),o=t.hostModel,a=t.getItemModel(e),s=t.getItemLayout(e).label,l=t.getItemVisual(e,"style"),u=l.fill;ic(r,rc(a),{labelFetcher:t.hostModel,labelDataIndex:e,defaultOpacity:l.opacity,defaultText:t.getName(e)},{normal:{align:s.textAlign,verticalAlign:s.verticalAlign}}),n.setTextConfig({local:!0,inside:!!s.inside,insideStroke:u,outsideFill:u});var h=s.linePoints;i.setShape({points:h}),n.textGuideLineConfig={anchor:h?new De(h[0][0],h[0][1]):null},vh(r,{style:{x:s.x,y:s.y}},o,e),r.attr({rotation:s.rotation,originX:s.x,originY:s.y,z2:10}),kb(n,Lb(a),{stroke:u})},e}(Xu),xk=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.ignoreLabelLineUpdate=!0,n}return n(e,t),e.prototype.render=function(t,e,n){var i=t.getData(),r=this._data,o=this.group;i.diff(r).add((function(t){var e=new mk(i,t);i.setItemGraphicEl(t,e),o.add(e)})).update((function(t,e){var n=r.getItemGraphicEl(e);n.updateData(i,t),o.add(n),i.setItemGraphicEl(t,n)})).remove((function(e){wh(r.getItemGraphicEl(e),t,e)})).execute(),this._data=i},e.prototype.remove=function(){this.group.removeAll(),this._data=null},e.prototype.dispose=function(){},e.type="funnel",e}(Og),_k=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.init=function(e){t.prototype.init.apply(this,arguments),this.legendVisualProvider=new NM(W(this.getData,this),W(this.getRawData,this)),this._defaultLabelLine(e)},e.prototype.getInitialData=function(t,e){return RM(this,{coordDimensions:["value"],encodeDefaulter:H(ed,this)})},e.prototype._defaultLabelLine=function(t){Co(t,"labelLine",["show"]);var e=t.labelLine,n=t.emphasis.labelLine;e.show=e.show&&t.label.show,n.show=n.show&&t.emphasis.label.show},e.prototype.getDataParams=function(e){var n=this.getData(),i=t.prototype.getDataParams.call(this,e),r=n.mapDimension("value"),o=n.getSum(r);return i.percent=o?+(n.get(r,e)/o*100).toFixed(2):0,i.$vars.push("percent"),i},e.type="series.funnel",e.defaultOption={z:2,legendHoverLink:!0,colorBy:"data",left:80,top:60,right:80,bottom:60,minSize:"0%",maxSize:"100%",sort:"descending",orient:"vertical",gap:0,funnelAlign:"center",label:{show:!0,position:"outer"},labelLine:{show:!0,length:20,lineStyle:{width:1}},itemStyle:{borderColor:"#fff",borderWidth:1},emphasis:{label:{show:!0}},select:{itemStyle:{borderColor:"#212121"}}},e}(bg);function bk(t,e){t.eachSeriesByType("funnel",(function(t){var n=t.getData(),i=n.mapDimension("value"),r=t.get("sort"),o=function(t,e){return kp(t.getBoxLayoutParams(),{width:e.getWidth(),height:e.getHeight()})}(t,e),a=t.get("orient"),s=o.width,l=o.height,u=function(t,e){for(var n=t.mapDimension("value"),i=t.mapArray(n,(function(t){return t})),r=[],o="ascending"===e,a=0,s=t.count();a5)return;var i=this._model.coordinateSystem.getSlidedAxisExpandWindow([t.offsetX,t.offsetY]);"none"!==i.behavior&&this._dispatchExpand({axisExpandWindow:i.axisExpandWindow})}this._mouseDownPoint=null},mousemove:function(t){if(!this._mouseDownPoint&&Rk(this,"mousemove")){var e=this._model,n=e.coordinateSystem.getSlidedAxisExpandWindow([t.offsetX,t.offsetY]),i=n.behavior;"jump"===i&&this._throttledDispatchExpand.debounceNextCall(e.get("axisExpandDebounce")),this._throttledDispatchExpand("none"===i?null:{axisExpandWindow:n.axisExpandWindow,animation:"jump"===i?null:{duration:0}})}}};function Rk(t,e){var n=t._model;return n.get("axisExpandable")&&n.get("axisExpandTriggerOn")===e}var Nk=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.init=function(){t.prototype.init.apply(this,arguments),this.mergeOption({})},e.prototype.mergeOption=function(t){var 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i=t.prototype.getDataParams.call(this,e,n);if(null==i.value&&"node"===n){var r=this.getGraph().getNodeByIndex(e).getLayout().value;i.value=r}return i},e.type="series.sankey",e.defaultOption={z:2,coordinateSystem:"view",left:"5%",top:"5%",right:"20%",bottom:"5%",orient:"horizontal",nodeWidth:20,nodeGap:8,draggable:!0,layoutIterations:32,label:{show:!0,position:"right",fontSize:12},edgeLabel:{show:!1,fontSize:12},levels:[],nodeAlign:"justify",lineStyle:{color:"#314656",opacity:.2,curveness:.5},emphasis:{label:{show:!0},lineStyle:{opacity:.5}},select:{itemStyle:{borderColor:"#212121"}},animationEasing:"linear",animationDuration:1e3},e}(bg);function QL(t,e){t.eachSeriesByType("sankey",(function(t){var n=t.get("nodeWidth"),i=t.get("nodeGap"),r=function(t,e){return kp(t.getBoxLayoutParams(),{width:e.getWidth(),height:e.getHeight()})}(t,e);t.layoutInfo=r;var o=r.width,a=r.height,s=t.getGraph(),l=s.nodes,u=s.edges;!function(t){E(t,(function(t){var 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pP=function(){function t(){}return t.prototype.getInitialData=function(t,e){var n,i,r=e.getComponent("xAxis",this.get("xAxisIndex")),o=e.getComponent("yAxis",this.get("yAxisIndex")),a=r.get("type"),s=o.get("type");"category"===a?(t.layout="horizontal",n=r.getOrdinalMeta(),i=!0):"category"===s?(t.layout="vertical",n=o.getOrdinalMeta(),i=!0):t.layout=t.layout||"horizontal";var l=["x","y"],u="horizontal"===t.layout?0:1,h=this._baseAxisDim=l[u],c=l[1-u],p=[r,o],d=p[u].get("type"),f=p[1-u].get("type"),g=t.data;if(g&&i){var y=[];E(g,(function(t,e){var n;Y(t)?(n=t.slice(),t.unshift(e)):Y(t.value)?((n=A({},t)).value=n.value.slice(),t.value.unshift(e)):n=t,y.push(n)})),t.data=y}var v=this.defaultValueDimensions,m=[{name:h,type:Ym(d),ordinalMeta:n,otherDims:{tooltip:!1,itemName:0},dimsDef:["base"]},{name:c,type:Ym(f),dimsDef:v.slice()}];return RM(this,{coordDimensions:m,dimensionsCount:v.length+1,encodeDefaulter:H(td,m,this)})},t.prototype.getBaseAxis=function(){var t=this._baseAxisDim;return this.ecModel.getComponent(t+"Axis",this.get(t+"AxisIndex")).axis},t}(),dP=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.defaultValueDimensions=[{name:"min",defaultTooltip:!0},{name:"Q1",defaultTooltip:!0},{name:"median",defaultTooltip:!0},{name:"Q3",defaultTooltip:!0},{name:"max",defaultTooltip:!0}],n.visualDrawType="stroke",n}return n(e,t),e.type="series.boxplot",e.dependencies=["xAxis","yAxis","grid"],e.defaultOption={z:2,coordinateSystem:"cartesian2d",legendHoverLink:!0,layout:null,boxWidth:[7,50],itemStyle:{color:"#fff",borderWidth:1},emphasis:{scale:!0,itemStyle:{borderWidth:2,shadowBlur:5,shadowOffsetX:1,shadowOffsetY:1,shadowColor:"rgba(0,0,0,0.2)"}},animationDuration:800},e}(bg);R(dP,pP,!0);var fP=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.render=function(t,e,n){var i=t.getData(),r=this.group,o=this._data;this._data||r.removeAll();var a="horizontal"===t.get("layout")?1:0;i.diff(o).add((function(t){if(i.hasValue(t)){var e=vP(i.getItemLayout(t),i,t,a,!0);i.setItemGraphicEl(t,e),r.add(e)}})).update((function(t,e){var n=o.getItemGraphicEl(e);if(i.hasValue(t)){var s=i.getItemLayout(t);n?(Sh(n),mP(s,n,i,t)):n=vP(s,i,t,a),r.add(n),i.setItemGraphicEl(t,n)}else r.remove(n)})).remove((function(t){var e=o.getItemGraphicEl(t);e&&r.remove(e)})).execute(),this._data=i},e.prototype.remove=function(t){var e=this.group,n=this._data;this._data=null,n&&n.eachItemGraphicEl((function(t){t&&e.remove(t)}))},e.type="boxplot",e}(Og),gP=function(){},yP=function(t){function e(e){var n=t.call(this,e)||this;return n.type="boxplotBoxPath",n}return n(e,t),e.prototype.getDefaultShape=function(){return new gP},e.prototype.buildPath=function(t,e){var n=e.points,i=0;for(t.moveTo(n[i][0],n[i][1]),i++;i<4;i++)t.lineTo(n[i][0],n[i][1]);for(t.closePath();ig){var 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e=t.pipelineContext.large;null!=this._isLargeDraw&&e===this._isLargeDraw||(this._isLargeDraw=e,this._clear())},e.prototype._renderNormal=function(t){var e=t.getData(),n=this._data,i=this.group,r=e.getLayout("isSimpleBox"),o=t.get("clip",!0),a=t.coordinateSystem,s=a.getArea&&a.getArea();this._data||i.removeAll(),e.diff(n).add((function(n){if(e.hasValue(n)){var a=e.getItemLayout(n);if(o&&DP(s,a))return;var l=CP(a,n,!0);mh(l,{shape:{points:a.ends}},t,n),AP(l,e,n,r),i.add(l),e.setItemGraphicEl(n,l)}})).update((function(a,l){var u=n.getItemGraphicEl(l);if(e.hasValue(a)){var h=e.getItemLayout(a);o&&DP(s,h)?i.remove(u):(u?(vh(u,{shape:{points:h.ends}},t,a),Sh(u)):u=CP(h),AP(u,e,a,r),i.add(u),e.setItemGraphicEl(a,u))}else i.remove(u)})).remove((function(t){var e=n.getItemGraphicEl(t);e&&i.remove(e)})).execute(),this._data=e},e.prototype._renderLarge=function(t){this._clear(),OP(t,this.group);var e=t.get("clip",!0)?PS(t.coordinateSystem,!1,t):null;e?this.group.setClipPath(e):this.group.removeClipPath()},e.prototype._incrementalRenderNormal=function(t,e){for(var n,i=e.getData(),r=i.getLayout("isSimpleBox");null!=(n=t.next());){var o=CP(i.getItemLayout(n));AP(o,i,n,r),o.incremental=!0,this.group.add(o),this._progressiveEls.push(o)}},e.prototype._incrementalRenderLarge=function(t,e){OP(e,this.group,this._progressiveEls,!0)},e.prototype.remove=function(t){this._clear()},e.prototype._clear=function(){this.group.removeAll(),this._data=null},e.type="candlestick",e}(Og),IP=function(){},TP=function(t){function e(e){var n=t.call(this,e)||this;return n.type="normalCandlestickBox",n}return n(e,t),e.prototype.getDefaultShape=function(){return new IP},e.prototype.buildPath=function(t,e){var n=e.points;this.__simpleBox?(t.moveTo(n[4][0],n[4][1]),t.lineTo(n[6][0],n[6][1])):(t.moveTo(n[0][0],n[0][1]),t.lineTo(n[1][0],n[1][1]),t.lineTo(n[2][0],n[2][1]),t.lineTo(n[3][0],n[3][1]),t.closePath(),t.moveTo(n[4][0],n[4][1]),t.lineTo(n[5][0],n[5][1]),t.moveTo(n[6][0],n[6][1]),t.lineTo(n[7][0],n[7][1]))},e}(ks);function CP(t,e,n){var i=t.ends;return new TP({shape:{points:n?kP(i,t):i},z2:100})}function DP(t,e){for(var n=!0,i=0;i0?"borderColor":"borderColor0"])||n.get(["itemStyle",t>0?"color":"color0"]);0===t&&(r=n.get(["itemStyle","borderColorDoji"]));var o=n.getModel("itemStyle").getItemStyle(SP);e.useStyle(o),e.style.fill=null,e.style.stroke=r}var NP=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.defaultValueDimensions=[{name:"open",defaultTooltip:!0},{name:"close",defaultTooltip:!0},{name:"lowest",defaultTooltip:!0},{name:"highest",defaultTooltip:!0}],n}return n(e,t),e.prototype.getShadowDim=function(){return"open"},e.prototype.brushSelector=function(t,e,n){var i=e.getItemLayout(t);return i&&n.rect(i.brushRect)},e.type="series.candlestick",e.dependencies=["xAxis","yAxis","grid"],e.defaultOption={z:2,coordinateSystem:"cartesian2d",legendHoverLink:!0,layout:null,clip:!0,itemStyle:{color:"#eb5454",color0:"#47b262",borderColor:"#eb5454",borderColor0:"#47b262",borderColorDoji:null,borderWidth:1},emphasis:{scale:!0,itemStyle:{borderWidth:2}},barMaxWidth:null,barMinWidth:null,barWidth:null,large:!0,largeThreshold:600,progressive:3e3,progressiveThreshold:1e4,progressiveChunkMode:"mod",animationEasing:"linear",animationDuration:300},e}(bg);function EP(t){t&&Y(t.series)&&E(t.series,(function(t){q(t)&&"k"===t.type&&(t.type="candlestick")}))}R(NP,pP,!0);var zP=["itemStyle","borderColor"],VP=["itemStyle","borderColor0"],BP=["itemStyle","borderColorDoji"],FP=["itemStyle","color"],GP=["itemStyle","color0"],WP={seriesType:"candlestick",plan:kg(),performRawSeries:!0,reset:function(t,e){function n(t,e){return e.get(t>0?FP:GP)}function i(t,e){return e.get(0===t?BP:t>0?zP:VP)}if(!e.isSeriesFiltered(t))return!t.pipelineContext.large&&{progress:function(t,e){for(var r;null!=(r=t.next());){var o=e.getItemModel(r),a=e.getItemLayout(r).sign,s=o.getItemStyle();s.fill=n(a,o),s.stroke=i(a,o)||s.fill,A(e.ensureUniqueItemVisual(r,"style"),s)}}}}},HP={seriesType:"candlestick",plan:kg(),reset:function(t){var e=t.coordinateSystem,n=t.getData(),i=function(t,e){var n,i=t.getBaseAxis(),r="category"===i.type?i.getBandWidth():(n=i.getExtent(),Math.abs(n[1]-n[0])/e.count()),o=$r(rt(t.get("barMaxWidth"),r),r),a=$r(rt(t.get("barMinWidth"),1),r),s=t.get("barWidth");return null!=s?$r(s,r):Math.max(Math.min(r/2,o),a)}(t,n),r=["x","y"],o=n.getDimensionIndex(n.mapDimension(r[0])),a=z(n.mapDimensionsAll(r[1]),n.getDimensionIndex,n),s=a[0],l=a[1],u=a[2],h=a[3];if(n.setLayout({candleWidth:i,isSimpleBox:i<=1.3}),!(o<0||a.length<4))return{progress:t.pipelineContext.large?function(n,i){var r,a,c=Bx(4*n.count),p=0,d=[],f=[],g=i.getStore(),y=!!t.get(["itemStyle","borderColorDoji"]);for(;null!=(a=n.next());){var v=g.get(o,a),m=g.get(s,a),x=g.get(l,a),_=g.get(u,a),b=g.get(h,a);isNaN(v)||isNaN(_)||isNaN(b)?(c[p++]=NaN,p+=3):(c[p++]=YP(g,a,m,x,l,y),d[0]=v,d[1]=_,r=e.dataToPoint(d,null,f),c[p++]=r?r[0]:NaN,c[p++]=r?r[1]:NaN,d[1]=b,r=e.dataToPoint(d,null,f),c[p++]=r?r[1]:NaN)}i.setLayout("largePoints",c)}:function(t,n){var r,a=n.getStore();for(;null!=(r=t.next());){var c=a.get(o,r),p=a.get(s,r),d=a.get(l,r),f=a.get(u,r),g=a.get(h,r),y=Math.min(p,d),v=Math.max(p,d),m=M(y,c),x=M(v,c),_=M(f,c),b=M(g,c),w=[];I(w,x,0),I(w,m,1),w.push(C(b),C(x),C(_),C(m));var S=!!n.getItemModel(r).get(["itemStyle","borderColorDoji"]);n.setItemLayout(r,{sign:YP(a,r,p,d,l,S),initBaseline:p>d?x[1]:m[1],ends:w,brushRect:T(f,g,c)})}function M(t,n){var i=[];return i[0]=n,i[1]=t,isNaN(n)||isNaN(t)?[NaN,NaN]:e.dataToPoint(i)}function I(t,e,n){var r=e.slice(),o=e.slice();r[0]=Vh(r[0]+i/2,1,!1),o[0]=Vh(o[0]-i/2,1,!0),n?t.push(r,o):t.push(o,r)}function T(t,e,n){var r=M(t,n),o=M(e,n);return r[0]-=i/2,o[0]-=i/2,{x:r[0],y:r[1],width:i,height:o[1]-r[1]}}function C(t){return t[0]=Vh(t[0],1),t}}}}};function YP(t,e,n,i,r,o){return n>i?-1:n0?t.get(r,e-1)<=i?1:-1:1}function XP(t,e){var n=e.rippleEffectColor||e.color;t.eachChild((function(t){t.attr({z:e.z,zlevel:e.zlevel,style:{stroke:"stroke"===e.brushType?n:null,fill:"fill"===e.brushType?n:null}})}))}var UP=function(t){function e(e,n){var i=t.call(this)||this,r=new fS(e,n),o=new Br;return i.add(r),i.add(o),i.updateData(e,n),i}return n(e,t),e.prototype.stopEffectAnimation=function(){this.childAt(1).removeAll()},e.prototype.startEffectAnimation=function(t){for(var e=t.symbolType,n=t.color,i=t.rippleNumber,r=this.childAt(1),o=0;o0&&(o=this._getLineLength(i)/l*1e3),o!==this._period||a!==this._loop||s!==this._roundTrip){i.stopAnimation();var h=void 0;h=X(u)?u(n):u,i.__t>0&&(h=-o*i.__t),this._animateSymbol(i,o,h,a,s)}this._period=o,this._loop=a,this._roundTrip=s}},e.prototype._animateSymbol=function(t,e,n,i,r){if(e>0){t.__t=0;var o=this,a=t.animate("",i).when(r?2*e:e,{__t:r?2:1}).delay(n).during((function(){o._updateSymbolPosition(t)}));i||a.done((function(){o.remove(t)})),a.start()}},e.prototype._getLineLength=function(t){return Vt(t.__p1,t.__cp1)+Vt(t.__cp1,t.__p2)},e.prototype._updateAnimationPoints=function(t,e){t.__p1=e[0],t.__p2=e[1],t.__cp1=e[2]||[(e[0][0]+e[1][0])/2,(e[0][1]+e[1][1])/2]},e.prototype.updateData=function(t,e,n){this.childAt(0).updateData(t,e,n),this._updateEffectSymbol(t,e)},e.prototype._updateSymbolPosition=function(t){var e=t.__p1,n=t.__p2,i=t.__cp1,r=t.__t<1?t.__t:2-t.__t,o=[t.x,t.y],a=o.slice(),s=In,l=Tn;o[0]=s(e[0],i[0],n[0],r),o[1]=s(e[1],i[1],n[1],r);var u=t.__t<1?l(e[0],i[0],n[0],r):l(n[0],i[0],e[0],1-r),h=t.__t<1?l(e[1],i[1],n[1],r):l(n[1],i[1],e[1],1-r);t.rotation=-Math.atan2(h,u)-Math.PI/2,"line"!==this._symbolType&&"rect"!==this._symbolType&&"roundRect"!==this._symbolType||(void 0!==t.__lastT&&t.__lastT=0&&!(i[o]<=e);o--);o=Math.min(o,r-2)}else{for(o=a;oe);o++);o=Math.min(o-1,r-2)}var s=(e-i[o])/(i[o+1]-i[o]),l=n[o],u=n[o+1];t.x=l[0]*(1-s)+s*u[0],t.y=l[1]*(1-s)+s*u[1];var h=t.__t<1?u[0]-l[0]:l[0]-u[0],c=t.__t<1?u[1]-l[1]:l[1]-u[1];t.rotation=-Math.atan2(c,h)-Math.PI/2,this._lastFrame=o,this._lastFramePercent=e,t.ignore=!1}},e}(qP),JP=function(){this.polyline=!1,this.curveness=0,this.segs=[]},QP=function(t){function e(e){var n=t.call(this,e)||this;return n._off=0,n.hoverDataIdx=-1,n}return n(e,t),e.prototype.reset=function(){this.notClear=!1,this._off=0},e.prototype.getDefaultStyle=function(){return{stroke:"#000",fill:null}},e.prototype.getDefaultShape=function(){return new JP},e.prototype.buildPath=function(t,e){var n,i=e.segs,r=e.curveness;if(e.polyline)for(n=this._off;n0){t.moveTo(i[n++],i[n++]);for(var a=1;a0){var c=(s+u)/2-(l-h)*r,p=(l+h)/2-(u-s)*r;t.quadraticCurveTo(c,p,u,h)}else t.lineTo(u,h)}this.incremental&&(this._off=n,this.notClear=!0)},e.prototype.findDataIndex=function(t,e){var n=this.shape,i=n.segs,r=n.curveness,o=this.style.lineWidth;if(n.polyline)for(var a=0,s=0;s0)for(var u=i[s++],h=i[s++],c=1;c0){if(ds(u,h,(u+p)/2-(h-d)*r,(h+d)/2-(p-u)*r,p,d,o,t,e))return a}else if(cs(u,h,p,d,o,t,e))return a;a++}return-1},e.prototype.contain=function(t,e){var n=this.transformCoordToLocal(t,e),i=this.getBoundingRect();return t=n[0],e=n[1],i.contain(t,e)?(this.hoverDataIdx=this.findDataIndex(t,e))>=0:(this.hoverDataIdx=-1,!1)},e.prototype.getBoundingRect=function(){var t=this._rect;if(!t){for(var e=this.shape.segs,n=1/0,i=1/0,r=-1/0,o=-1/0,a=0;a0&&(o.dataIndex=n+t.__startIndex)}))},t.prototype._clear=function(){this._newAdded=[],this.group.removeAll()},t}(),eO={seriesType:"lines",plan:kg(),reset:function(t){var e=t.coordinateSystem;if(e){var n=t.get("polyline"),i=t.pipelineContext.large;return{progress:function(r,o){var a=[];if(i){var s=void 0,l=r.end-r.start;if(n){for(var u=0,h=r.start;h0&&(l||s.configLayer(o,{motionBlur:!0,lastFrameAlpha:Math.max(Math.min(a/10+.9,1),0)})),r.updateData(i);var u=t.get("clip",!0)&&PS(t.coordinateSystem,!1,t);u?this.group.setClipPath(u):this.group.removeClipPath(),this._lastZlevel=o,this._finished=!0},e.prototype.incrementalPrepareRender=function(t,e,n){var i=t.getData();this._updateLineDraw(i,t).incrementalPrepareUpdate(i),this._clearLayer(n),this._finished=!1},e.prototype.incrementalRender=function(t,e,n){this._lineDraw.incrementalUpdate(t,e.getData()),this._finished=t.end===e.getData().count()},e.prototype.eachRendered=function(t){this._lineDraw&&this._lineDraw.eachRendered(t)},e.prototype.updateTransform=function(t,e,n){var i=t.getData(),r=t.pipelineContext;if(!this._finished||r.large||r.progressiveRender)return{update:!0};var o=eO.reset(t,e,n);o.progress&&o.progress({start:0,end:i.count(),count:i.count()},i),this._lineDraw.updateLayout(),this._clearLayer(n)},e.prototype._updateLineDraw=function(t,e){var n=this._lineDraw,i=this._showEffect(e),r=!!e.get("polyline"),o=e.pipelineContext.large;return n&&i===this._hasEffet&&r===this._isPolyline&&o===this._isLargeDraw||(n&&n.remove(),n=this._lineDraw=o?new tO:new YA(r?i?$P:KP:i?qP:HA),this._hasEffet=i,this._isPolyline=r,this._isLargeDraw=o),this.group.add(n.group),n},e.prototype._showEffect=function(t){return!!t.get(["effect","show"])},e.prototype._clearLayer=function(t){var e=t.getZr();"svg"===e.painter.getType()||null==this._lastZlevel||e.painter.getLayer(this._lastZlevel).clear(!0)},e.prototype.remove=function(t,e){this._lineDraw&&this._lineDraw.remove(),this._lineDraw=null,this._clearLayer(e)},e.prototype.dispose=function(t,e){this.remove(t,e)},e.type="lines",e}(Og),iO="undefined"==typeof Uint32Array?Array:Uint32Array,rO="undefined"==typeof Float64Array?Array:Float64Array;function oO(t){var e=t.data;e&&e[0]&&e[0][0]&&e[0][0].coord&&(t.data=z(e,(function(t){var e={coords:[t[0].coord,t[1].coord]};return t[0].name&&(e.fromName=t[0].name),t[1].name&&(e.toName=t[1].name),D([e,t[0],t[1]])})))}var aO=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.visualStyleAccessPath="lineStyle",n.visualDrawType="stroke",n}return n(e,t),e.prototype.init=function(e){e.data=e.data||[],oO(e);var n=this._processFlatCoordsArray(e.data);this._flatCoords=n.flatCoords,this._flatCoordsOffset=n.flatCoordsOffset,n.flatCoords&&(e.data=new Float32Array(n.count)),t.prototype.init.apply(this,arguments)},e.prototype.mergeOption=function(e){if(oO(e),e.data){var n=this._processFlatCoordsArray(e.data);this._flatCoords=n.flatCoords,this._flatCoordsOffset=n.flatCoordsOffset,n.flatCoords&&(e.data=new Float32Array(n.count))}t.prototype.mergeOption.apply(this,arguments)},e.prototype.appendData=function(t){var e=this._processFlatCoordsArray(t.data);e.flatCoords&&(this._flatCoords?(this._flatCoords=vt(this._flatCoords,e.flatCoords),this._flatCoordsOffset=vt(this._flatCoordsOffset,e.flatCoordsOffset)):(this._flatCoords=e.flatCoords,this._flatCoordsOffset=e.flatCoordsOffset),t.data=new Float32Array(e.count)),this.getRawData().appendData(t.data)},e.prototype._getCoordsFromItemModel=function(t){var e=this.getData().getItemModel(t),n=e.option instanceof Array?e.option:e.getShallow("coords");return n},e.prototype.getLineCoordsCount=function(t){return this._flatCoordsOffset?this._flatCoordsOffset[2*t+1]:this._getCoordsFromItemModel(t).length},e.prototype.getLineCoords=function(t,e){if(this._flatCoordsOffset){for(var n=this._flatCoordsOffset[2*t],i=this._flatCoordsOffset[2*t+1],r=0;r ")})},e.prototype.preventIncremental=function(){return!!this.get(["effect","show"])},e.prototype.getProgressive=function(){var t=this.option.progressive;return null==t?this.option.large?1e4:this.get("progressive"):t},e.prototype.getProgressiveThreshold=function(){var t=this.option.progressiveThreshold;return null==t?this.option.large?2e4:this.get("progressiveThreshold"):t},e.prototype.getZLevelKey=function(){var t=this.getModel("effect"),e=t.get("trailLength");return this.getData().count()>this.getProgressiveThreshold()?this.id:t.get("show")&&e>0?e+"":""},e.type="series.lines",e.dependencies=["grid","polar","geo","calendar"],e.defaultOption={coordinateSystem:"geo",z:2,legendHoverLink:!0,xAxisIndex:0,yAxisIndex:0,symbol:["none","none"],symbolSize:[10,10],geoIndex:0,effect:{show:!1,period:4,constantSpeed:0,symbol:"circle",symbolSize:3,loop:!0,trailLength:.2},large:!1,largeThreshold:2e3,polyline:!1,clip:!0,label:{show:!1,position:"end"},lineStyle:{opacity:.5}},e}(bg);function sO(t){return t instanceof Array||(t=[t,t]),t}var lO={seriesType:"lines",reset:function(t){var e=sO(t.get("symbol")),n=sO(t.get("symbolSize")),i=t.getData();return i.setVisual("fromSymbol",e&&e[0]),i.setVisual("toSymbol",e&&e[1]),i.setVisual("fromSymbolSize",n&&n[0]),i.setVisual("toSymbolSize",n&&n[1]),{dataEach:i.hasItemOption?function(t,e){var n=t.getItemModel(e),i=sO(n.getShallow("symbol",!0)),r=sO(n.getShallow("symbolSize",!0));i[0]&&t.setItemVisual(e,"fromSymbol",i[0]),i[1]&&t.setItemVisual(e,"toSymbol",i[1]),r[0]&&t.setItemVisual(e,"fromSymbolSize",r[0]),r[1]&&t.setItemVisual(e,"toSymbolSize",r[1])}:null}}};var uO=function(){function t(){this.blurSize=30,this.pointSize=20,this.maxOpacity=1,this.minOpacity=0,this._gradientPixels={inRange:null,outOfRange:null};var t=h.createCanvas();this.canvas=t}return t.prototype.update=function(t,e,n,i,r,o){var a=this._getBrush(),s=this._getGradient(r,"inRange"),l=this._getGradient(r,"outOfRange"),u=this.pointSize+this.blurSize,h=this.canvas,c=h.getContext("2d"),p=t.length;h.width=e,h.height=n;for(var d=0;d0){var I=o(v)?s:l;v>0&&(v=v*S+w),x[_++]=I[M],x[_++]=I[M+1],x[_++]=I[M+2],x[_++]=I[M+3]*v*256}else _+=4}return c.putImageData(m,0,0),h},t.prototype._getBrush=function(){var t=this._brushCanvas||(this._brushCanvas=h.createCanvas()),e=this.pointSize+this.blurSize,n=2*e;t.width=n,t.height=n;var i=t.getContext("2d");return i.clearRect(0,0,n,n),i.shadowOffsetX=n,i.shadowBlur=this.blurSize,i.shadowColor="#000",i.beginPath(),i.arc(-e,e,this.pointSize,0,2*Math.PI,!0),i.closePath(),i.fill(),t},t.prototype._getGradient=function(t,e){for(var n=this._gradientPixels,i=n[e]||(n[e]=new Uint8ClampedArray(1024)),r=[0,0,0,0],o=0,a=0;a<256;a++)t[e](a/255,!0,r),i[o++]=r[0],i[o++]=r[1],i[o++]=r[2],i[o++]=r[3];return i},t}();function hO(t){var e=t.dimensions;return"lng"===e[0]&&"lat"===e[1]}var cO=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.render=function(t,e,n){var i;e.eachComponent("visualMap",(function(e){e.eachTargetSeries((function(n){n===t&&(i=e)}))})),this._progressiveEls=null,this.group.removeAll();var 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d=this.group,f=t.getData(),g=t.getModel(["emphasis","itemStyle"]).getItemStyle(),y=t.getModel(["blur","itemStyle"]).getItemStyle(),v=t.getModel(["select","itemStyle"]).getItemStyle(),m=t.get(["itemStyle","borderRadius"]),x=rc(t),_=t.getModel("emphasis"),b=_.get("focus"),w=_.get("blurScope"),S=_.get("disabled"),M=h?[f.mapDimension("x"),f.mapDimension("y"),f.mapDimension("value")]:[f.mapDimension("time"),f.mapDimension("value")],I=n;Is[1]||Al[1])continue;var k=u.dataToPoint([D,A]);T=new Ws({shape:{x:k[0]-o/2,y:k[1]-a/2,width:o,height:a},style:C})}else{if(isNaN(f.get(M[1],I)))continue;T=new Ws({z2:1,shape:u.dataToRect([f.get(M[0],I)]).contentShape,style:C})}if(f.hasItemOption){var L=f.getItemModel(I),P=L.getModel("emphasis");g=P.getModel("itemStyle").getItemStyle(),y=L.getModel(["blur","itemStyle"]).getItemStyle(),v=L.getModel(["select","itemStyle"]).getItemStyle(),m=L.get(["itemStyle","borderRadius"]),b=P.get("focus"),w=P.get("blurScope"),S=P.get("disabled"),x=rc(L)}T.shape.r=m;var O=t.getRawValue(I),R="-";O&&null!=O[2]&&(R=O[2]+""),ic(T,x,{labelFetcher:t,labelDataIndex:I,defaultOpacity:C.opacity,defaultText:R}),T.ensureState("emphasis").style=g,T.ensureState("blur").style=y,T.ensureState("select").style=v,Zl(T,b,w,S),T.incremental=r,r&&(T.states.emphasis.hoverLayer=!0),d.add(T),f.setItemGraphicEl(I,T),this._progressiveEls&&this._progressiveEls.push(T)}},e.prototype._renderOnGeo=function(t,e,n,i){var r=n.targetVisuals.inRange,o=n.targetVisuals.outOfRange,a=e.getData(),s=this._hmLayer||this._hmLayer||new uO;s.blurSize=e.get("blurSize"),s.pointSize=e.get("pointSize"),s.minOpacity=e.get("minOpacity"),s.maxOpacity=e.get("maxOpacity");var l=t.getViewRect().clone(),u=t.getRoamTransform();l.applyTransform(u);var h=Math.max(l.x,0),c=Math.max(l.y,0),p=Math.min(l.width+l.x,i.getWidth()),d=Math.min(l.height+l.y,i.getHeight()),f=p-h,g=d-c,y=[a.mapDimension("lng"),a.mapDimension("lat"),a.mapDimension("value")],v=a.mapArray(y,(function(e,n,i){var r=t.dataToPoint([e,n]);return r[0]-=h,r[1]-=c,r.push(i),r})),m=n.getExtent(),x="visualMap.continuous"===n.type?function(t,e){var n=t[1]-t[0];return e=[(e[0]-t[0])/n,(e[1]-t[0])/n],function(t){return t>=e[0]&&t<=e[1]}}(m,n.option.range):function(t,e,n){var i=t[1]-t[0],r=(e=z(e,(function(e){return{interval:[(e.interval[0]-t[0])/i,(e.interval[1]-t[0])/i]}}))).length,o=0;return function(t){var i;for(i=o;i=0;i--){var a;if((a=e[i].interval)[0]<=t&&t<=a[1]){o=i;break}}return i>=0&&i0?1:-1}(n,o,r,i,c),function(t,e,n,i,r,o,a,s,l,u){var h,c=l.valueDim,p=l.categoryDim,d=Math.abs(n[p.wh]),f=t.getItemVisual(e,"symbolSize");h=Y(f)?f.slice():null==f?["100%","100%"]:[f,f];h[p.index]=$r(h[p.index],d),h[c.index]=$r(h[c.index],i?d:Math.abs(o)),u.symbolSize=h;var g=u.symbolScale=[h[0]/s,h[1]/s];g[c.index]*=(l.isHorizontal?-1:1)*a}(t,e,r,o,0,c.boundingLength,c.pxSign,u,i,c),function(t,e,n,i,r){var o=t.get(dO)||0;o&&(gO.attr({scaleX:e[0],scaleY:e[1],rotation:n}),gO.updateTransform(),o/=gO.getLineScale(),o*=e[i.valueDim.index]);r.valueLineWidth=o||0}(n,c.symbolScale,l,i,c);var p=c.symbolSize,d=Zy(n.get("symbolOffset"),p);return function(t,e,n,i,r,o,a,s,l,u,h,c){var p=h.categoryDim,d=h.valueDim,f=c.pxSign,g=Math.max(e[d.index]+s,0),y=g;if(i){var v=Math.abs(l),m=it(t.get("symbolMargin"),"15%")+"",x=!1;m.lastIndexOf("!")===m.length-1&&(x=!0,m=m.slice(0,m.length-1));var _=$r(m,e[d.index]),b=Math.max(g+2*_,0),w=x?0:2*_,S=vo(i),M=S?i:OO((v+w)/b);b=g+2*(_=(v-M*g)/2/(x?M:Math.max(M-1,1))),w=x?0:2*_,S||"fixed"===i||(M=u?OO((Math.abs(u)+w)/b):0),y=M*b-w,c.repeatTimes=M,c.symbolMargin=_}var I=f*(y/2),T=c.pathPosition=[];T[p.index]=n[p.wh]/2,T[d.index]="start"===a?I:"end"===a?l-I:l/2,o&&(T[0]+=o[0],T[1]+=o[1]);var C=c.bundlePosition=[];C[p.index]=n[p.xy],C[d.index]=n[d.xy];var D=c.barRectShape=A({},n);D[d.wh]=f*Math.max(Math.abs(n[d.wh]),Math.abs(T[d.index]+I)),D[p.wh]=n[p.wh];var 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r=t.__pictorialBundle,o=t.__pictorialMainPath;o?LO(o,null,{x:n.pathPosition[0],y:n.pathPosition[1],scaleX:n.symbolScale[0],scaleY:n.symbolScale[1],rotation:n.rotation},n,i):(o=t.__pictorialMainPath=xO(n),r.add(o),LO(o,{x:n.pathPosition[0],y:n.pathPosition[1],scaleX:0,scaleY:0,rotation:n.rotation},{scaleX:n.symbolScale[0],scaleY:n.symbolScale[1]},n,i))}function wO(t,e,n){var i=A({},e.barRectShape),r=t.__pictorialBarRect;r?LO(r,null,{shape:i},e,n):((r=t.__pictorialBarRect=new Ws({z2:2,shape:i,silent:!0,style:{stroke:"transparent",fill:"transparent",lineWidth:0}})).disableMorphing=!0,t.add(r))}function SO(t,e,n,i){if(n.symbolClip){var r=t.__pictorialClipPath,o=A({},n.clipShape),a=e.valueDim,s=n.animationModel,l=n.dataIndex;if(r)vh(r,{shape:o},s,l);else{o[a.wh]=0,r=new Ws({shape:o}),t.__pictorialBundle.setClipPath(r),t.__pictorialClipPath=r;var u={};u[a.wh]=n.clipShape[a.wh],Qh[i?"updateProps":"initProps"](r,{shape:u},s,l)}}}function MO(t,e){var n=t.getItemModel(e);return n.getAnimationDelayParams=IO,n.isAnimationEnabled=TO,n}function IO(t){return{index:t.__pictorialAnimationIndex,count:t.__pictorialRepeatTimes}}function TO(){return this.parentModel.isAnimationEnabled()&&!!this.getShallow("animation")}function CO(t,e,n,i){var r=new Br,o=new Br;return r.add(o),r.__pictorialBundle=o,o.x=n.bundlePosition[0],o.y=n.bundlePosition[1],n.symbolRepeat?_O(r,e,n):bO(r,0,n),wO(r,n,i),SO(r,e,n,i),r.__pictorialShapeStr=AO(t,n),r.__pictorialSymbolMeta=n,r}function DO(t,e,n,i){var r=i.__pictorialBarRect;r&&r.removeTextContent();var o=[];kO(i,(function(t){o.push(t)})),i.__pictorialMainPath&&o.push(i.__pictorialMainPath),i.__pictorialClipPath&&(n=null),E(o,(function(t){_h(t,{scaleX:0,scaleY:0},n,e,(function(){i.parent&&i.parent.remove(i)}))})),t.setItemGraphicEl(e,null)}function AO(t,e){return[t.getItemVisual(e.dataIndex,"symbol")||"none",!!e.symbolRepeat,!!e.symbolClip].join(":")}function 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d=e.valueDim.posDesc[+(n.boundingLength>0)],f=t.__pictorialBarRect;f.ignoreClip=!0,ic(f,rc(r),{labelFetcher:e.seriesModel,labelDataIndex:i,defaultText:pS(e.seriesModel.getData(),i),inheritColor:n.style.fill,defaultOpacity:n.style.opacity,defaultOutsidePosition:d}),Zl(t,h,c,o.get("disabled"))}function OO(t){var e=Math.round(t);return Math.abs(t-e)<1e-4?e:Math.ceil(t)}var RO=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.hasSymbolVisual=!0,n.defaultSymbol="roundRect",n}return n(e,t),e.prototype.getInitialData=function(e){return e.stack=null,t.prototype.getInitialData.apply(this,arguments)},e.type="series.pictorialBar",e.dependencies=["grid"],e.defaultOption=kc(qS.defaultOption,{symbol:"circle",symbolSize:null,symbolRotate:null,symbolPosition:null,symbolOffset:null,symbolMargin:null,symbolRepeat:!1,symbolRepeatDirection:"end",symbolClip:!1,symbolBoundingData:null,symbolPatternSize:400,barGap:"-100%",clip:!1,progressive:0,emphasis:{scale:!1},select:{itemStyle:{borderColor:"#212121"}}}),e}(qS);var NO=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n._layers=[],n}return n(e,t),e.prototype.render=function(t,e,n){var i=t.getData(),r=this,o=this.group,a=t.getLayerSeries(),s=i.getLayout("layoutInfo"),l=s.rect,u=s.boundaryGap;function h(t){return t.name}o.x=0,o.y=l.y+u[0];var c=new Gm(this._layersSeries||[],a,h,h),p=[];function d(e,n,s){var l=r._layers;if("remove"!==e){for(var u,h,c=[],d=[],f=a[n].indices,g=0;go&&(o=s),i.push(s)}for(var 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r=t.coordinateSystem,o=r.getRangeInfo(),a=r.getOrient(),s=e.getLocaleModel();this._renderDayRect(t,o,i),this._renderLines(t,o,a,i),this._renderYearText(t,o,a,i),this._renderMonthText(t,s,a,i),this._renderWeekText(t,s,o,a,i)},e.prototype._renderDayRect=function(t,e,n){for(var i=t.coordinateSystem,r=t.getModel("itemStyle").getItemStyle(),o=i.getCellWidth(),a=i.getCellHeight(),s=e.start.time;s<=e.end.time;s=i.getNextNDay(s,1).time){var l=i.dataToRect([s],!1).tl,u=new Ws({shape:{x:l[0],y:l[1],width:o,height:a},cursor:"default",style:r});n.add(u)}},e.prototype._renderLines=function(t,e,n,i){var r=this,o=t.coordinateSystem,a=t.getModel(["splitLine","lineStyle"]).getLineStyle(),s=t.get(["splitLine","show"]),l=a.lineWidth;this._tlpoints=[],this._blpoints=[],this._firstDayOfMonth=[],this._firstDayPoints=[];for(var u=e.start,h=0;u.time<=e.end.time;h++){p(u.formatedDate),0===h&&(u=o.getDateInfo(e.start.y+"-"+e.start.m));var c=u.date;c.setMonth(c.getMonth()+1),u=o.getDateInfo(c)}function 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e=this.option,n=this.settledOption;E([["start","startValue"],["end","endValue"]],(function(i){null==t[i[0]]&&null==t[i[1]]||(e[i[0]]=n[i[0]]=t[i[0]],e[i[1]]=n[i[1]]=t[i[1]])}),this),this._updateRangeUse(t)},e.prototype.setCalculatedRange=function(t){var e=this.option;E(["start","startValue","end","endValue"],(function(n){e[n]=t[n]}))},e.prototype.getPercentRange=function(){var t=this.findRepresentativeAxisProxy();if(t)return t.getDataPercentWindow()},e.prototype.getValueRange=function(t,e){if(null!=t||null!=e)return this.getAxisProxy(t,e).getDataValueWindow();var n=this.findRepresentativeAxisProxy();return n?n.getDataValueWindow():void 0},e.prototype.findRepresentativeAxisProxy=function(t){if(t)return t.__dzAxisProxy;for(var e,n=this._targetAxisInfoMap.keys(),i=0;i=0}(e)){var n=nz(this._dimName),i=e.getReferringComponents(n,Wo).models[0];i&&this._axisIndex===i.componentIndex&&t.push(e)}}),this),t},t.prototype.getAxisModel=function(){return this.ecModel.getComponent(this._dimName+"Axis",this._axisIndex)},t.prototype.getMinMaxSpan=function(){return T(this._minMaxSpan)},t.prototype.calculateDataWindow=function(t){var e,n=this._dataExtent,i=this.getAxisModel().axis.scale,r=this._dataZoomModel.getRangePropMode(),o=[0,100],a=[],s=[];cz(["start","end"],(function(l,u){var h=t[l],c=t[l+"Value"];"percent"===r[u]?(null==h&&(h=o[u]),c=i.parse(Kr(h,o,n))):(e=!0,h=Kr(c=null==c?n[u]:i.parse(c),n,o)),s[u]=null==c||isNaN(c)?n[u]:c,a[u]=null==h||isNaN(h)?o[u]:h})),pz(s),pz(a);var l=this._minMaxSpan;function u(t,e,n,r,o){var a=o?"Span":"ValueSpan";zk(0,t,n,"all",l["min"+a],l["max"+a]);for(var s=0;s<2;s++)e[s]=Kr(t[s],n,r,!0),o&&(e[s]=i.parse(e[s]))}return e?u(s,a,n,o,!1):u(a,s,o,n,!0),{valueWindow:s,percentWindow:a}},t.prototype.reset=function(t){if(t===this._dataZoomModel){var e=this.getTargetSeriesModels();this._dataExtent=function(t,e,n){var i=[1/0,-1/0];cz(n,(function(t){!function(t,e,n){e&&E(C_(e,n),(function(n){var 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o,a={series:[]};E(Cz,(function(t){P(t,n)>=0&&E(t,(function(t){i.setIconStatus(t,"normal")}))})),i.setIconStatus(n,"emphasis"),t.eachComponent({mainType:"series",query:null==r?null:{seriesIndex:r}},(function(t){var e=t.subType,r=t.id,o=Az[n](e,r,t,i);o&&(k(o,t.option),a.series.push(o));var s=t.coordinateSystem;if(s&&"cartesian2d"===s.type&&("line"===n||"bar"===n)){var l=s.getAxesByScale("ordinal")[0];if(l){var u=l.dim+"Axis",h=t.getReferringComponents(u,Wo).models[0].componentIndex;a[u]=a[u]||[];for(var c=0;c<=h;c++)a[u][h]=a[u][h]||{};a[u][h].boundaryGap="bar"===n}}}));var s=n;"stack"===n&&(o=C({stack:i.option.title.tiled,tiled:i.option.title.stack},i.option.title),"emphasis"!==i.get(["iconStatus",n])&&(s="tiled")),e.dispatchAction({type:"changeMagicType",currentType:s,newOption:a,newTitle:o,featureName:"magicType"})}},e}(mz),Az={line:function(t,e,n,i){if("bar"===t)return 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z(t,(function(t,i){return[t[0]-n[0]*e[i][0],t[1]-n[1]*e[i][1]]}))}};function $z(t,e,n,i){return[e[0]-i[t]*n[0],e[1]-i[t]*n[1]]}function Jz(t){return t?[t[0][1]-t[0][0],t[1][1]-t[1][0]]:[NaN,NaN]}var Qz,tV,eV=E,nV=Io+"toolbox-dataZoom_",iV=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.render=function(t,e,n,i){this._brushController||(this._brushController=new lL(n.getZr()),this._brushController.on("brush",W(this._onBrush,this)).mount()),function(t,e,n,i,r){var o=n._isZoomActive;i&&"takeGlobalCursor"===i.type&&(o="dataZoomSelect"===i.key&&i.dataZoomSelectActive);n._isZoomActive=o,t.setIconStatus("zoom",o?"emphasis":"normal");var a=new Wz(oV(t),e,{include:["grid"]}),s=a.makePanelOpts(r,(function(t){return t.xAxisDeclared&&!t.yAxisDeclared?"lineX":!t.xAxisDeclared&&t.yAxisDeclared?"lineY":"rect"}));n._brushController.setPanels(s).enableBrush(!(!o||!s.length)&&{brushType:"auto",brushStyle:t.getModel("brushStyle").getItemStyle()})}(t,e,this,i,n),function(t,e){t.setIconStatus("back",function(t){return Bz(t).length}(e)>1?"emphasis":"normal")}(t,e)},e.prototype.onclick=function(t,e,n){rV[n].call(this)},e.prototype.remove=function(t,e){this._brushController&&this._brushController.unmount()},e.prototype.dispose=function(t,e){this._brushController&&this._brushController.dispose()},e.prototype._onBrush=function(t){var e=t.areas;if(t.isEnd&&e.length){var n={},i=this.ecModel;this._brushController.updateCovers([]),new Wz(oV(this.model),i,{include:["grid"]}).matchOutputRanges(e,i,(function(t,e,n){if("cartesian2d"===n.type){var i=t.brushType;"rect"===i?(r("x",n,e[0]),r("y",n,e[1])):r({lineX:"x",lineY:"y"}[i],n,e)}})),function(t,e){var n=Bz(t);zz(e,(function(e,i){for(var 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v=bf(s.formatTooltip(l,!1,u)),m=d.get("order"),x=d.get("valueFormatter"),_=v.frag,b=_?cg(x?A({valueFormatter:x},_):_,y,c,m,i.get("useUTC"),d.get("textStyle")):v.text,w="item_"+s.name+"_"+l;this._showOrMove(d,(function(){this._showTooltipContent(d,b,g,w,t.offsetX,t.offsetY,t.position,t.target,y)})),n({type:"showTip",dataIndexInside:l,dataIndex:h.getRawIndex(l),seriesIndex:o,from:this.uid})}},e.prototype._showComponentItemTooltip=function(t,e,n){var i="html"===this._renderMode,r=rl(e),o=r.tooltipConfig.option||{},a=o.encodeHTMLContent;if(U(o)){o={content:o,formatter:o},a=!0}a&&i&&o.content&&((o=T(o)).content=re(o.content));var s=[o],l=this._ecModel.getComponent(r.componentMainType,r.componentIndex);l&&s.push(l),s.push({formatter:o.content});var u=t.positionDefault,h=MV(s,this._tooltipModel,u?{position:u}:null),c=h.get("content"),p=Math.random()+"",d=new yg;this._showOrMove(h,(function(){var 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og("nameValue",{noName:!0,value:a.scale.getLabel({value:t})})},E(["AxisLine","AxisTick","Control","CurrentPointer"],(function(e){this["_render"+e](i,r,a,t)}),this),this._renderAxisLabel(i,o,a,t),this._position(i,t)}this._doPlayStop(),this._updateTicksStatus()},e.prototype.remove=function(){this._clearTimer(),this.group.removeAll()},e.prototype.dispose=function(){this._clearTimer()},e.prototype._layout=function(t,e){var n,i,r,o,a=t.get(["label","position"]),s=t.get("orient"),l=function(t,e){return kp(t.getBoxLayoutParams(),{width:e.getWidth(),height:e.getHeight()},t.get("padding"))}(t,e),u={horizontal:"center",vertical:(n=null==a||"auto"===a?"horizontal"===s?l.y+l.height/2=0||"+"===n?"left":"right"},h={horizontal:n>=0||"+"===n?"top":"bottom",vertical:"middle"},c={horizontal:0,vertical:nB/2},p="vertical"===s?l.height:l.width,d=t.getModel("controlStyle"),f=d.get("show",!0),g=f?d.get("itemSize"):0,y=f?d.get("itemGap"):0,v=g+y,m=t.get(["label","rotate"])||0;m=m*nB/180;var x=d.get("position",!0),_=f&&d.get("showPlayBtn",!0),b=f&&d.get("showPrevBtn",!0),w=f&&d.get("showNextBtn",!0),S=0,M=p;"left"===x||"bottom"===x?(_&&(i=[0,0],S+=v),b&&(r=[S,0],S+=v),w&&(o=[M-g,0],M-=v)):(_&&(i=[M-g,0],M-=v),b&&(r=[0,0],S+=v),w&&(o=[M-g,0],M-=v));var I=[S,M];return t.get("inverse")&&I.reverse(),{viewRect:l,mainLength:p,orient:s,rotation:c[s],labelRotation:m,labelPosOpt:n,labelAlign:t.get(["label","align"])||u[s],labelBaseline:t.get(["label","verticalAlign"])||t.get(["label","baseline"])||h[s],playPosition:i,prevBtnPosition:r,nextBtnPosition:o,axisExtent:I,controlSize:g,controlGap:y}},e.prototype._position=function(t,e){var n=this._mainGroup,i=this._labelGroup,r=t.viewRect;if("vertical"===t.orient){var o=[1,0,0,1,0,0],a=r.x,s=r.y+r.height;we(o,o,[-a,-s]),Se(o,o,-nB/2),we(o,o,[a,s]),(r=r.clone()).applyTransform(o)}var l=y(r),u=y(n.getBoundingRect()),h=y(i.getBoundingRect()),c=[n.x,n.y],p=[i.x,i.y];p[0]=c[0]=l[0][0];var d,f=t.labelPosOpt;null==f||U(f)?(v(c,u,l,1,d="+"===f?0:1),v(p,h,l,1,1-d)):(v(c,u,l,1,d=f>=0?0:1),p[1]=c[1]+f);function g(t){t.originX=l[0][0]-t.x,t.originY=l[1][0]-t.y}function y(t){return[[t.x,t.x+t.width],[t.y,t.y+t.height]]}function v(t,e,n,i,r){t[i]+=n[i][r]-e[i][r]}n.setPosition(c),i.setPosition(p),n.rotation=i.rotation=t.rotation,g(n),g(i)},e.prototype._createAxis=function(t,e){var n=e.getData(),i=e.get("axisType"),r=function(t,e){if(e=e||t.get("type"),e)switch(e){case"category":return new Rx({ordinalMeta:t.getCategories(),extent:[1/0,-1/0]});case"time":return new Kx({locale:t.ecModel.getLocaleModel(),useUTC:t.ecModel.get("useUTC")});default:return new Ex}}(e,i);r.getTicks=function(){return n.mapArray(["value"],(function(t){return{value:t}}))};var o=n.getDataExtent("value");r.setExtent(o[0],o[1]),r.calcNiceTicks();var a=new eB("value",r,t.axisExtent,i);return a.model=e,a},e.prototype._createGroup=function(t){var e=this[t]=new Br;return 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d=rl(p);s.get("tooltip")?(d.dataIndex=t.value,d.dataModel=i):d.dataIndex=d.dataModel=null,r._tickSymbols.push(p)}))},e.prototype._renderAxisLabel=function(t,e,n,i){var r=this;if(n.getLabelModel().get("show")){var o=i.getData(),a=n.getViewLabels();this._tickLabels=[],E(a,(function(i){var a=i.tickValue,s=o.getItemModel(a),l=s.getModel("label"),u=s.getModel(["emphasis","label"]),h=s.getModel(["progress","label"]),c=n.dataToCoord(i.tickValue),p=new Xs({x:c,y:0,rotation:t.labelRotation-t.rotation,onclick:W(r._changeTimeline,r,a),silent:!1,style:oc(l,{text:i.formattedLabel,align:t.labelAlign,verticalAlign:t.labelBaseline})});p.ensureState("emphasis").style=oc(u),p.ensureState("progress").style=oc(h),e.add(p),Ul(p),iB(p).dataIndex=a,r._tickLabels.push(p)}))}},e.prototype._renderControl=function(t,e,n,i){var r=t.controlSize,o=t.rotation,a=i.getModel("controlStyle").getItemStyle(),s=i.getModel(["emphasis","controlStyle"]).getItemStyle(),l=i.getPlayState(),u=i.get("inverse",!0);function 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r=i.getData(),o=i.getCurrentIndex(),a=r.getItemModel(o).getModel("checkpointStyle"),s=this,l={onCreate:function(t){t.draggable=!0,t.drift=W(s._handlePointerDrag,s),t.ondragend=W(s._handlePointerDragend,s),aB(t,s._progressLine,o,n,i,!0)},onUpdate:function(t){aB(t,s._progressLine,o,n,i)}};this._currentPointer=oB(a,a,this._mainGroup,{},this._currentPointer,l)},e.prototype._handlePlayClick=function(t){this._clearTimer(),this.api.dispatchAction({type:"timelinePlayChange",playState:t,from:this.uid})},e.prototype._handlePointerDrag=function(t,e,n){this._clearTimer(),this._pointerChangeTimeline([n.offsetX,n.offsetY])},e.prototype._handlePointerDragend=function(t){this._pointerChangeTimeline([t.offsetX,t.offsetY],!0)},e.prototype._pointerChangeTimeline=function(t,e){var n=this._toAxisCoord(t)[0],i=Qr(this._axis.getExtent().slice());n>i[1]&&(n=i[1]),n=0&&(a[o]=+a[o].toFixed(c)),[a,h]}var vB={min:H(yB,"min"),max:H(yB,"max"),average:H(yB,"average"),median:H(yB,"median")};function mB(t,e){if(e){var n=t.getData(),i=t.coordinateSystem,r=i&&i.dimensions;if(!function(t){return!isNaN(parseFloat(t.x))&&!isNaN(parseFloat(t.y))}(e)&&!Y(e.coord)&&Y(r)){var o=xB(e,n,i,t);if((e=T(e)).type&&vB[e.type]&&o.baseAxis&&o.valueAxis){var a=P(r,o.baseAxis.dim),s=P(r,o.valueAxis.dim),l=vB[e.type](n,o.baseDataDim,o.valueDataDim,a,s);e.coord=l[0],e.value=l[1]}else e.coord=[null!=e.xAxis?e.xAxis:e.radiusAxis,null!=e.yAxis?e.yAxis:e.angleAxis]}if(null!=e.coord&&Y(r))for(var u=e.coord,h=0;h<2;h++)vB[u[h]]&&(u[h]=wB(n,n.mapDimension(r[h]),u[h]));else e.coord=[];return e}}function xB(t,e,n,i){var r={};return null!=t.valueIndex||null!=t.valueDim?(r.valueDataDim=null!=t.valueIndex?e.getDimension(t.valueIndex):t.valueDim,r.valueAxis=n.getAxis(function(t,e){var n=t.getData().getDimensionInfo(e);return n&&n.coordDim}(i,r.valueDataDim)),r.baseAxis=n.getOtherAxis(r.valueAxis),r.baseDataDim=e.mapDimension(r.baseAxis.dim)):(r.baseAxis=i.getBaseAxis(),r.valueAxis=n.getOtherAxis(r.baseAxis),r.baseDataDim=e.mapDimension(r.baseAxis.dim),r.valueDataDim=e.mapDimension(r.valueAxis.dim)),r}function _B(t,e){return!(t&&t.containData&&e.coord&&!gB(e))||t.containData(e.coord)}function bB(t,e){return t?function(t,n,i,r){return If(r<2?t.coord&&t.coord[r]:t.value,e[r])}:function(t,n,i,r){return If(t.value,e[r])}}function wB(t,e,n){if("average"===n){var i=0,r=0;return t.each(e,(function(t,e){isNaN(t)||(i+=t,r++)})),i/r}return"median"===n?t.getMedian(e):t.getDataExtent(e)["max"===n?1:0]}var SB=Vo(),MB=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.init=function(){this.markerGroupMap=yt()},e.prototype.render=function(t,e,n){var i=this,r=this.markerGroupMap;r.each((function(t){SB(t).keep=!1})),e.eachSeries((function(t){var r=dB.getMarkerModelFromSeries(t,i.type);r&&i.renderSeries(t,r,e,n)})),r.each((function(t){!SB(t).keep&&i.group.remove(t.group)}))},e.prototype.markKeep=function(t){SB(t).keep=!0},e.prototype.toggleBlurSeries=function(t,e){var n=this;E(t,(function(t){var i=dB.getMarkerModelFromSeries(t,n.type);i&&i.getData().eachItemGraphicEl((function(t){t&&(e?Nl(t):El(t))}))}))},e.type="marker",e}(Ag);function IB(t,e,n){var i=e.coordinateSystem;t.each((function(r){var o,a=t.getItemModel(r),s=$r(a.get("x"),n.getWidth()),l=$r(a.get("y"),n.getHeight());if(isNaN(s)||isNaN(l)){if(e.getMarkerPosition)o=e.getMarkerPosition(t.getValues(t.dimensions,r));else if(i){var u=t.get(i.dimensions[0],r),h=t.get(i.dimensions[1],r);o=i.dataToPoint([u,h])}}else o=[s,l];isNaN(s)||(o[0]=s),isNaN(l)||(o[1]=l),t.setItemLayout(r,o)}))}var TB=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.updateTransform=function(t,e,n){e.eachSeries((function(t){var e=dB.getMarkerModelFromSeries(t,"markPoint");e&&(IB(e.getData(),t,n),this.markerGroupMap.get(t.id).updateLayout())}),this)},e.prototype.renderSeries=function(t,e,n,i){var r=t.coordinateSystem,o=t.id,a=t.getData(),s=this.markerGroupMap,l=s.get(o)||s.set(o,new xS),u=function(t,e,n){var i;i=t?z(t&&t.dimensions,(function(t){return A(A({},e.getData().getDimensionInfo(e.getData().mapDimension(t))||{}),{name:t,ordinalMeta:null})})):[{name:"value",type:"float"}];var r=new cx(i,n),o=z(n.get("data"),H(mB,e));t&&(o=B(o,H(_B,t)));var a=bB(!!t,i);return r.initData(o,null,a),r}(r,t,e);e.setData(u),IB(e.getData(),t,i),u.each((function(t){var n=u.getItemModel(t),i=n.getShallow("symbol"),r=n.getShallow("symbolSize"),o=n.getShallow("symbolRotate"),s=n.getShallow("symbolOffset"),l=n.getShallow("symbolKeepAspect");if(X(i)||X(r)||X(o)||X(s)){var h=e.getRawValue(t),c=e.getDataParams(t);X(i)&&(i=i(h,c)),X(r)&&(r=r(h,c)),X(o)&&(o=o(h,c)),X(s)&&(s=s(h,c))}var p=n.getModel("itemStyle").getItemStyle(),d=Ay(a,"color");p.fill||(p.fill=d),u.setItemVisual(t,{symbol:i,symbolSize:r,symbolRotate:o,symbolOffset:s,symbolKeepAspect:l,style:p})})),l.updateData(u),this.group.add(l.group),u.eachItemGraphicEl((function(t){t.traverse((function(t){rl(t).dataModel=e}))})),this.markKeep(l),l.group.silent=e.get("silent")||t.get("silent")},e.type="markPoint",e}(MB);var CB=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.createMarkerModelFromSeries=function(t,n,i){return new e(t,n,i)},e.type="markLine",e.defaultOption={z:5,symbol:["circle","arrow"],symbolSize:[8,16],symbolOffset:0,precision:2,tooltip:{trigger:"item"},label:{show:!0,position:"end",distance:5},lineStyle:{type:"dashed"},emphasis:{label:{show:!0},lineStyle:{width:3}},animationEasing:"linear"},e}(dB),DB=Vo(),AB=function(t,e,n,i){var r,o=t.getData();if(Y(i))r=i;else{var a=i.type;if("min"===a||"max"===a||"average"===a||"median"===a||null!=i.xAxis||null!=i.yAxis){var s=void 0,l=void 0;if(null!=i.yAxis||null!=i.xAxis)s=e.getAxis(null!=i.yAxis?"y":"x"),l=it(i.yAxis,i.xAxis);else{var u=xB(i,o,e,t);s=u.valueAxis,l=wB(o,xx(o,u.valueDataDim),a)}var h="x"===s.dim?0:1,c=1-h,p=T(i),d={coord:[]};p.type=null,p.coord=[],p.coord[c]=-1/0,d.coord[c]=1/0;var f=n.get("precision");f>=0&&j(l)&&(l=+l.toFixed(Math.min(f,20))),p.coord[h]=d.coord[h]=l,r=[p,d,{type:a,valueIndex:i.valueIndex,value:l}]}else r=[]}var g=[mB(t,r[0]),mB(t,r[1]),A({},r[2])];return g[2].type=g[2].type||null,C(g[2],g[0]),C(g[2],g[1]),g};function kB(t){return!isNaN(t)&&!isFinite(t)}function LB(t,e,n,i){var r=1-t,o=i.dimensions[t];return kB(e[r])&&kB(n[r])&&e[t]===n[t]&&i.getAxis(o).containData(e[t])}function PB(t,e){if("cartesian2d"===t.type){var n=e[0].coord,i=e[1].coord;if(n&&i&&(LB(1,n,i,t)||LB(0,n,i,t)))return!0}return _B(t,e[0])&&_B(t,e[1])}function OB(t,e,n,i,r){var o,a=i.coordinateSystem,s=t.getItemModel(e),l=$r(s.get("x"),r.getWidth()),u=$r(s.get("y"),r.getHeight());if(isNaN(l)||isNaN(u)){if(i.getMarkerPosition)o=i.getMarkerPosition(t.getValues(t.dimensions,e));else{var h=a.dimensions,c=t.get(h[0],e),p=t.get(h[1],e);o=a.dataToPoint([c,p])}if(OS(a,"cartesian2d")){var d=a.getAxis("x"),f=a.getAxis("y");h=a.dimensions;kB(t.get(h[0],e))?o[0]=d.toGlobalCoord(d.getExtent()[n?0:1]):kB(t.get(h[1],e))&&(o[1]=f.toGlobalCoord(f.getExtent()[n?0:1]))}isNaN(l)||(o[0]=l),isNaN(u)||(o[1]=u)}else o=[l,u];t.setItemLayout(e,o)}var RB=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.updateTransform=function(t,e,n){e.eachSeries((function(t){var e=dB.getMarkerModelFromSeries(t,"markLine");if(e){var 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e=p.getItemModel(t).getModel("lineStyle").getLineStyle();p.setItemLayout(t,[h.getItemLayout(t),c.getItemLayout(t)]),null==e.stroke&&(e.stroke=h.getItemVisual(t,"style").fill),p.setItemVisual(t,{fromSymbolKeepAspect:h.getItemVisual(t,"symbolKeepAspect"),fromSymbolOffset:h.getItemVisual(t,"symbolOffset"),fromSymbolRotate:h.getItemVisual(t,"symbolRotate"),fromSymbolSize:h.getItemVisual(t,"symbolSize"),fromSymbol:h.getItemVisual(t,"symbol"),toSymbolKeepAspect:c.getItemVisual(t,"symbolKeepAspect"),toSymbolOffset:c.getItemVisual(t,"symbolOffset"),toSymbolRotate:c.getItemVisual(t,"symbolRotate"),toSymbolSize:c.getItemVisual(t,"symbolSize"),toSymbol:c.getItemVisual(t,"symbol"),style:e})})),l.updateData(p),u.line.eachItemGraphicEl((function(t){rl(t).dataModel=e,t.traverse((function(t){rl(t).dataModel=e}))})),this.markKeep(l),l.group.silent=e.get("silent")||t.get("silent")},e.type="markLine",e}(MB);var NB=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return 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o,a=i.coordinateSystem,s=t.getItemModel(e),l=$r(s.get(n[0]),r.getWidth()),u=$r(s.get(n[1]),r.getHeight());if(isNaN(l)||isNaN(u)){if(i.getMarkerPosition){var h=t.getValues(["x0","y0"],e),c=t.getValues(["x1","y1"],e),p=a.clampData(h),d=a.clampData(c),f=[];"x0"===n[0]?f[0]=p[0]>d[0]?c[0]:h[0]:f[0]=p[0]>d[0]?h[0]:c[0],"y0"===n[1]?f[1]=p[1]>d[1]?c[1]:h[1]:f[1]=p[1]>d[1]?h[1]:c[1],o=i.getMarkerPosition(f,n,!0)}else{var g=[m=t.get(n[0],e),x=t.get(n[1],e)];a.clampData&&a.clampData(g,g),o=a.dataToPoint(g,!0)}if(OS(a,"cartesian2d")){var y=a.getAxis("x"),v=a.getAxis("y"),m=t.get(n[0],e),x=t.get(n[1],e);VB(m)?o[0]=y.toGlobalCoord(y.getExtent()["x0"===n[0]?0:1]):VB(x)&&(o[1]=v.toGlobalCoord(v.getExtent()["y0"===n[1]?0:1]))}isNaN(l)||(o[0]=l),isNaN(u)||(o[1]=u)}else o=[l,u];return o}var WB=[["x0","y0"],["x1","y0"],["x1","y1"],["x0","y1"]],HB=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return 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l=t.getBoxLayoutParams(),u={width:n.getWidth(),height:n.getHeight()},h=t.get("padding"),c=kp(l,u,h),p=this.layoutInner(t,r,c,i,a,s),d=kp(k({width:p.width,height:p.height},l),u,h);this.group.x=d.x-p.x,this.group.y=d.y-p.y,this.group.markRedraw(),this.group.add(this._backgroundEl=Sz(p,t))}},e.prototype.resetInner=function(){this.getContentGroup().removeAll(),this._backgroundEl&&this.group.remove(this._backgroundEl),this.getSelectorGroup().removeAll()},e.prototype.renderInner=function(t,e,n,i,r,o,a){var s=this.getContentGroup(),l=yt(),u=e.get("selectedMode"),h=[];n.eachRawSeries((function(t){!t.get("legendHoverLink")&&h.push(t.id)})),UB(e.getData(),(function(r,o){var a=r.get("name");if(!this.newlineDisabled&&(""===a||"\n"===a)){var c=new ZB;return c.newline=!0,void s.add(c)}var p=n.getSeriesByName(a)[0];if(!l.get(a)){if(p){var d=p.getData(),f=d.getVisual("legendLineStyle")||{},g=d.getVisual("legendIcon"),y=d.getVisual("style"),v=this._createItem(p,a,o,r,e,t,f,y,g,u,i);v.on("click",XB(qB,a,null,i,h)).on("mouseover",XB($B,p.name,null,i,h)).on("mouseout",XB(JB,p.name,null,i,h)),n.ssr&&v.eachChild((function(t){var e=rl(t);e.seriesIndex=p.seriesIndex,e.dataIndex=o,e.ssrType="legend"})),l.set(a,!0)}else n.eachRawSeries((function(s){if(!l.get(a)&&s.legendVisualProvider){var c=s.legendVisualProvider;if(!c.containName(a))return;var p=c.indexOfName(a),d=c.getItemVisual(p,"style"),f=c.getItemVisual(p,"legendIcon"),g=qn(d.fill);g&&0===g[3]&&(g[3]=.2,d=A(A({},d),{fill:ri(g,"rgba")}));var y=this._createItem(s,a,o,r,e,t,{},d,f,u,i);y.on("click",XB(qB,null,a,i,h)).on("mouseover",XB($B,null,a,i,h)).on("mouseout",XB(JB,null,a,i,h)),n.ssr&&y.eachChild((function(t){var e=rl(t);e.seriesIndex=s.seriesIndex,e.dataIndex=o,e.ssrType="legend"})),l.set(a,!0)}}),this);0}}),this),r&&this._createSelector(r,e,i,o,a)},e.prototype._createSelector=function(t,e,n,i,r){var o=this.getSelectorGroup();UB(t,(function(t){var i=t.type,r=new Xs({style:{x:0,y:0,align:"center",verticalAlign:"middle"},onclick:function(){n.dispatchAction({type:"all"===i?"legendAllSelect":"legendInverseSelect"})}});o.add(r),ic(r,{normal:e.getModel("selectorLabel"),emphasis:e.getModel(["emphasis","selectorLabel"])},{defaultText:t.title}),Ul(r)}))},e.prototype._createItem=function(t,e,n,i,r,o,a,s,l,u,h){var c=t.visualDrawType,p=r.get("itemWidth"),d=r.get("itemHeight"),f=r.isSelected(e),g=i.get("symbolRotate"),y=i.get("symbolKeepAspect"),v=i.get("icon"),m=function(t,e,n,i,r,o,a){function s(t,e){"auto"===t.lineWidth&&(t.lineWidth=e.lineWidth>0?2:0),UB(t,(function(n,i){"inherit"===t[i]&&(t[i]=e[i])}))}var l=e.getModel("itemStyle"),u=l.getItemStyle(),h=0===t.lastIndexOf("empty",0)?"fill":"stroke",c=l.getShallow("decal");u.decal=c&&"inherit"!==c?mv(c,a):i.decal,"inherit"===u.fill&&(u.fill=i[r]);"inherit"===u.stroke&&(u.stroke=i[h]);"inherit"===u.opacity&&(u.opacity=("fill"===r?i:n).opacity);s(u,i);var p=e.getModel("lineStyle"),d=p.getLineStyle();if(s(d,n),"auto"===u.fill&&(u.fill=i.fill),"auto"===u.stroke&&(u.stroke=i.fill),"auto"===d.stroke&&(d.stroke=i.fill),!o){var f=e.get("inactiveBorderWidth"),g=u[h];u.lineWidth="auto"===f?i.lineWidth>0&&g?2:0:u.lineWidth,u.fill=e.get("inactiveColor"),u.stroke=e.get("inactiveBorderColor"),d.stroke=p.get("inactiveColor"),d.lineWidth=p.get("inactiveWidth")}return{itemStyle:u,lineStyle:d}}(l=v||l||"roundRect",i,a,s,c,f,h),x=new ZB,_=i.getModel("textStyle");if(!X(t.getLegendIcon)||v&&"inherit"!==v){var b="inherit"===v&&t.getData().getVisual("symbol")?"inherit"===g?t.getData().getVisual("symbolRotate"):g:0;x.add(function(t){var e=t.icon||"roundRect",n=Xy(e,0,0,t.itemWidth,t.itemHeight,t.itemStyle.fill,t.symbolKeepAspect);n.setStyle(t.itemStyle),n.rotation=(t.iconRotate||0)*Math.PI/180,n.setOrigin([t.itemWidth/2,t.itemHeight/2]),e.indexOf("empty")>-1&&(n.style.stroke=n.style.fill,n.style.fill="#fff",n.style.lineWidth=2);return n}({itemWidth:p,itemHeight:d,icon:l,iconRotate:b,itemStyle:m.itemStyle,lineStyle:m.lineStyle,symbolKeepAspect:y}))}else x.add(t.getLegendIcon({itemWidth:p,itemHeight:d,icon:l,iconRotate:g,itemStyle:m.itemStyle,lineStyle:m.lineStyle,symbolKeepAspect:y}));var w="left"===o?p+5:-5,S=o,M=r.get("formatter"),I=e;U(M)&&M?I=M.replace("{name}",null!=e?e:""):X(M)&&(I=M(e));var T=f?_.getTextColor():i.get("inactiveColor");x.add(new Xs({style:oc(_,{text:I,x:w,y:d/2,fill:T,align:S,verticalAlign:"middle"},{inheritColor:T})}));var C=new Ws({shape:x.getBoundingRect(),style:{fill:"transparent"}}),D=i.getModel("tooltip");return D.get("show")&&Kh({el:C,componentModel:r,itemName:e,itemTooltipOption:D.option}),x.add(C),x.eachChild((function(t){t.silent=!0})),C.silent=!u,this.getContentGroup().add(x),Ul(x),x.__legendDataIndex=n,x},e.prototype.layoutInner=function(t,e,n,i,r,o){var a=this.getContentGroup(),s=this.getSelectorGroup();Ap(t.get("orient"),a,t.get("itemGap"),n.width,n.height);var l=a.getBoundingRect(),u=[-l.x,-l.y];if(s.markRedraw(),a.markRedraw(),r){Ap("horizontal",s,t.get("selectorItemGap",!0));var h=s.getBoundingRect(),c=[-h.x,-h.y],p=t.get("selectorButtonGap",!0),d=t.getOrient().index,f=0===d?"width":"height",g=0===d?"height":"width",y=0===d?"y":"x";"end"===o?c[d]+=l[f]+p:u[d]+=h[f]+p,c[1-d]+=l[g]/2-h[g]/2,s.x=c[0],s.y=c[1],a.x=u[0],a.y=u[1];var v={x:0,y:0};return v[f]=l[f]+p+h[f],v[g]=Math.max(l[g],h[g]),v[y]=Math.min(0,h[y]+c[1-d]),v}return a.x=u[0],a.y=u[1],this.group.getBoundingRect()},e.prototype.remove=function(){this.getContentGroup().removeAll(),this._isFirstRender=!0},e.type="legend.plain",e}(Ag);function qB(t,e,n,i){JB(t,e,n,i),n.dispatchAction({type:"legendToggleSelect",name:null!=t?t:e}),$B(t,e,n,i)}function KB(t){for(var e,n=t.getZr().storage.getDisplayList(),i=0,r=n.length;in[r],f=[-c.x,-c.y];e||(f[i]=l[s]);var g=[0,0],y=[-p.x,-p.y],v=rt(t.get("pageButtonGap",!0),t.get("itemGap",!0));d&&("end"===t.get("pageButtonPosition",!0)?y[i]+=n[r]-p[r]:g[i]+=p[r]+v);y[1-i]+=c[o]/2-p[o]/2,l.setPosition(f),u.setPosition(g),h.setPosition(y);var m={x:0,y:0};if(m[r]=d?n[r]:c[r],m[o]=Math.max(c[o],p[o]),m[a]=Math.min(0,p[a]+y[1-i]),u.__rectSize=n[r],d){var x={x:0,y:0};x[r]=Math.max(n[r]-p[r]-v,0),x[o]=m[o],u.setClipPath(new Ws({shape:x})),u.__rectSize=x[r]}else h.eachChild((function(t){t.attr({invisible:!0,silent:!0})}));var _=this._getPageInfo(t);return null!=_.pageIndex&&vh(l,{x:_.contentPosition[0],y:_.contentPosition[1]},d?t:null),this._updatePageInfoView(t,_),m},e.prototype._pageGo=function(t,e,n){var i=this._getPageInfo(e)[t];null!=i&&n.dispatchAction({type:"legendScroll",scrollDataIndex:i,legendId:e.id})},e.prototype._updatePageInfoView=function(t,e){var n=this._controllerGroup;E(["pagePrev","pageNext"],(function(i){var r=null!=e[i+"DataIndex"],o=n.childOfName(i);o&&(o.setStyle("fill",r?t.get("pageIconColor",!0):t.get("pageIconInactiveColor",!0)),o.cursor=r?"pointer":"default")}));var i=n.childOfName("pageText"),r=t.get("pageFormatter"),o=e.pageIndex,a=null!=o?o+1:0,s=e.pageCount;i&&r&&i.setStyle("text",U(r)?r.replace("{current}",null==a?"":a+"").replace("{total}",null==s?"":s+""):r({current:a,total:s}))},e.prototype._getPageInfo=function(t){var e=t.get("scrollDataIndex",!0),n=this.getContentGroup(),i=this._containerGroup.__rectSize,r=t.getOrient().index,o=oF[r],a=aF[r],s=this._findTargetItemIndex(e),l=n.children(),u=l[s],h=l.length,c=h?1:0,p={contentPosition:[n.x,n.y],pageCount:c,pageIndex:c-1,pagePrevDataIndex:null,pageNextDataIndex:null};if(!u)return p;var d=m(u);p.contentPosition[r]=-d.s;for(var f=s+1,g=d,y=d,v=null;f<=h;++f)(!(v=m(l[f]))&&y.e>g.s+i||v&&!x(v,g.s))&&(g=y.i>g.i?y:v)&&(null==p.pageNextDataIndex&&(p.pageNextDataIndex=g.i),++p.pageCount),y=v;for(f=s-1,g=d,y=d,v=null;f>=-1;--f)(v=m(l[f]))&&x(y,v.s)||!(g.i=e&&t.s<=e+i}},e.prototype._findTargetItemIndex=function(t){return this._showController?(this.getContentGroup().eachChild((function(i,r){var o=i.__legendDataIndex;null==n&&null!=o&&(n=r),o===t&&(e=r)})),null!=e?e:n):0;var e,n},e.type="legend.scroll",e}(jB);function lF(t){Vm(eF),t.registerComponentModel(nF),t.registerComponentView(sF),function(t){t.registerAction("legendScroll","legendscroll",(function(t,e){var n=t.scrollDataIndex;null!=n&&e.eachComponent({mainType:"legend",subType:"scroll",query:t},(function(t){t.setScrollDataIndex(n)}))}))}(t)}var uF=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.type="dataZoom.inside",e.defaultOption=kc(az.defaultOption,{disabled:!1,zoomLock:!1,zoomOnMouseWheel:!0,moveOnMouseMove:!0,moveOnMouseWheel:!1,preventDefaultMouseMove:!0}),e}(az),hF=Vo();function cF(t,e,n){hF(t).coordSysRecordMap.each((function(t){var i=t.dataZoomInfoMap.get(e.uid);i&&(i.getRange=n)}))}function pF(t,e){if(e){t.removeKey(e.model.uid);var n=e.controller;n&&n.dispose()}}function dF(t,e){t.isDisposed()||t.dispatchAction({type:"dataZoom",animation:{easing:"cubicOut",duration:100},batch:e})}function fF(t,e,n,i){return t.coordinateSystem.containPoint([n,i])}function gF(t){t.registerProcessor(t.PRIORITY.PROCESSOR.FILTER,(function(t,e){var n=hF(e),i=n.coordSysRecordMap||(n.coordSysRecordMap=yt());i.each((function(t){t.dataZoomInfoMap=null})),t.eachComponent({mainType:"dataZoom",subType:"inside"},(function(t){E(rz(t).infoList,(function(n){var r=n.model.uid,o=i.get(r)||i.set(r,function(t,e){var n={model:e,containsPoint:H(fF,e),dispatchAction:H(dF,t),dataZoomInfoMap:null,controller:null},i=n.controller=new nT(t.getZr());return E(["pan","zoom","scrollMove"],(function(t){i.on(t,(function(e){var i=[];n.dataZoomInfoMap.each((function(r){if(e.isAvailableBehavior(r.model.option)){var o=(r.getRange||{})[t],a=o&&o(r.dzReferCoordSysInfo,n.model.mainType,n.controller,e);!r.model.get("disabled",!0)&&a&&i.push({dataZoomId:r.model.id,start:a[0],end:a[1]})}})),i.length&&n.dispatchAction(i)}))})),n}(e,n.model));(o.dataZoomInfoMap||(o.dataZoomInfoMap=yt())).set(t.uid,{dzReferCoordSysInfo:n,model:t,getRange:null})}))})),i.each((function(t){var e,n=t.controller,r=t.dataZoomInfoMap;if(r){var o=r.keys()[0];null!=o&&(e=r.get(o))}if(e){var a=function(t){var e,n="type_",i={type_true:2,type_move:1,type_false:0,type_undefined:-1},r=!0;return t.each((function(t){var o=t.model,a=!o.get("disabled",!0)&&(!o.get("zoomLock",!0)||"move");i[n+a]>i[n+e]&&(e=a),r=r&&o.get("preventDefaultMouseMove",!0)})),{controlType:e,opt:{zoomOnMouseWheel:!0,moveOnMouseMove:!0,moveOnMouseWheel:!0,preventDefaultMouseMove:!!r}}}(r);n.enable(a.controlType,a.opt),n.setPointerChecker(t.containsPoint),Hg(t,"dispatchAction",e.model.get("throttle",!0),"fixRate")}else pF(i,t)}))}))}var yF=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.type="dataZoom.inside",e}return n(e,t),e.prototype.render=function(e,n,i){t.prototype.render.apply(this,arguments),e.noTarget()?this._clear():(this.range=e.getPercentRange(),cF(i,e,{pan:W(vF.pan,this),zoom:W(vF.zoom,this),scrollMove:W(vF.scrollMove,this)}))},e.prototype.dispose=function(){this._clear(),t.prototype.dispose.apply(this,arguments)},e.prototype._clear=function(){!function(t,e){for(var n=hF(t).coordSysRecordMap,i=n.keys(),r=0;r0?s.pixelStart+s.pixelLength-s.pixel:s.pixel-s.pixelStart)/s.pixelLength*(o[1]-o[0])+o[0],u=Math.max(1/i.scale,0);o[0]=(o[0]-l)*u+l,o[1]=(o[1]-l)*u+l;var h=this.dataZoomModel.findRepresentativeAxisProxy().getMinMaxSpan();return zk(0,o,[0,100],0,h.minSpan,h.maxSpan),this.range=o,r[0]!==o[0]||r[1]!==o[1]?o:void 0}},pan:mF((function(t,e,n,i,r,o){var a=xF[i]([o.oldX,o.oldY],[o.newX,o.newY],e,r,n);return a.signal*(t[1]-t[0])*a.pixel/a.pixelLength})),scrollMove:mF((function(t,e,n,i,r,o){return xF[i]([0,0],[o.scrollDelta,o.scrollDelta],e,r,n).signal*(t[1]-t[0])*o.scrollDelta}))};function mF(t){return function(e,n,i,r){var o=this.range,a=o.slice(),s=e.axisModels[0];if(s)return zk(t(a,s,e,n,i,r),a,[0,100],"all"),this.range=a,o[0]!==a[0]||o[1]!==a[1]?a:void 0}}var xF={grid:function(t,e,n,i,r){var o=n.axis,a={},s=r.model.coordinateSystem.getRect();return t=t||[0,0],"x"===o.dim?(a.pixel=e[0]-t[0],a.pixelLength=s.width,a.pixelStart=s.x,a.signal=o.inverse?1:-1):(a.pixel=e[1]-t[1],a.pixelLength=s.height,a.pixelStart=s.y,a.signal=o.inverse?-1:1),a},polar:function(t,e,n,i,r){var o=n.axis,a={},s=r.model.coordinateSystem,l=s.getRadiusAxis().getExtent(),u=s.getAngleAxis().getExtent();return t=t?s.pointToCoord(t):[0,0],e=s.pointToCoord(e),"radiusAxis"===n.mainType?(a.pixel=e[0]-t[0],a.pixelLength=l[1]-l[0],a.pixelStart=l[0],a.signal=o.inverse?1:-1):(a.pixel=e[1]-t[1],a.pixelLength=u[1]-u[0],a.pixelStart=u[0],a.signal=o.inverse?-1:1),a},singleAxis:function(t,e,n,i,r){var o=n.axis,a=r.model.coordinateSystem.getRect(),s={};return t=t||[0,0],"horizontal"===o.orient?(s.pixel=e[0]-t[0],s.pixelLength=a.width,s.pixelStart=a.x,s.signal=o.inverse?1:-1):(s.pixel=e[1]-t[1],s.pixelLength=a.height,s.pixelStart=a.y,s.signal=o.inverse?-1:1),s}};function _F(t){yz(t),t.registerComponentModel(uF),t.registerComponentView(yF),gF(t)}var bF=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.type="dataZoom.slider",e.layoutMode="box",e.defaultOption=kc(az.defaultOption,{show:!0,right:"ph",top:"ph",width:"ph",height:"ph",left:null,bottom:null,borderColor:"#d2dbee",borderRadius:3,backgroundColor:"rgba(47,69,84,0)",dataBackground:{lineStyle:{color:"#d2dbee",width:.5},areaStyle:{color:"#d2dbee",opacity:.2}},selectedDataBackground:{lineStyle:{color:"#8fb0f7",width:.5},areaStyle:{color:"#8fb0f7",opacity:.2}},fillerColor:"rgba(135,175,274,0.2)",handleIcon:"path://M-9.35,34.56V42m0-40V9.5m-2,0h4a2,2,0,0,1,2,2v21a2,2,0,0,1-2,2h-4a2,2,0,0,1-2-2v-21A2,2,0,0,1-11.35,9.5Z",handleSize:"100%",handleStyle:{color:"#fff",borderColor:"#ACB8D1"},moveHandleSize:7,moveHandleIcon:"path://M-320.9-50L-320.9-50c18.1,0,27.1,9,27.1,27.1V85.7c0,18.1-9,27.1-27.1,27.1l0,0c-18.1,0-27.1-9-27.1-27.1V-22.9C-348-41-339-50-320.9-50z M-212.3-50L-212.3-50c18.1,0,27.1,9,27.1,27.1V85.7c0,18.1-9,27.1-27.1,27.1l0,0c-18.1,0-27.1-9-27.1-27.1V-22.9C-239.4-41-230.4-50-212.3-50z M-103.7-50L-103.7-50c18.1,0,27.1,9,27.1,27.1V85.7c0,18.1-9,27.1-27.1,27.1l0,0c-18.1,0-27.1-9-27.1-27.1V-22.9C-130.9-41-121.8-50-103.7-50z",moveHandleStyle:{color:"#D2DBEE",opacity:.7},showDetail:!0,showDataShadow:"auto",realtime:!0,zoomLock:!1,textStyle:{color:"#6E7079"},brushSelect:!0,brushStyle:{color:"rgba(135,175,274,0.15)"},emphasis:{handleStyle:{borderColor:"#8FB0F7"},moveHandleStyle:{color:"#8FB0F7"}}}),e}(az),wF=Ws,SF="horizontal",MF="vertical",IF=["line","bar","candlestick","scatter"],TF={easing:"cubicOut",duration:100,delay:0},CF=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n._displayables={},n}return n(e,t),e.prototype.init=function(t,e){this.api=e,this._onBrush=W(this._onBrush,this),this._onBrushEnd=W(this._onBrushEnd,this)},e.prototype.render=function(e,n,i,r){if(t.prototype.render.apply(this,arguments),Hg(this,"_dispatchZoomAction",e.get("throttle"),"fixRate"),this._orient=e.getOrient(),!1!==e.get("show")){if(e.noTarget())return this._clear(),void this.group.removeAll();r&&"dataZoom"===r.type&&r.from===this.uid||this._buildView(),this._updateView()}else this.group.removeAll()},e.prototype.dispose=function(){this._clear(),t.prototype.dispose.apply(this,arguments)},e.prototype._clear=function(){Yg(this,"_dispatchZoomAction");var t=this.api.getZr();t.off("mousemove",this._onBrush),t.off("mouseup",this._onBrushEnd)},e.prototype._buildView=function(){var t=this.group;t.removeAll(),this._brushing=!1,this._displayables.brushRect=null,this._resetLocation(),this._resetInterval();var e=this._displayables.sliderGroup=new Br;this._renderBackground(),this._renderHandle(),this._renderDataShadow(),t.add(e),this._positionGroup()},e.prototype._resetLocation=function(){var t=this.dataZoomModel,e=this.api,n=t.get("brushSelect")?7:0,i=this._findCoordRect(),r={width:e.getWidth(),height:e.getHeight()},o=this._orient===SF?{right:r.width-i.x-i.width,top:r.height-30-7-n,width:i.width,height:30}:{right:7,top:i.y,width:30,height:i.height},a=Rp(t.option);E(["right","top","width","height"],(function(t){"ph"===a[t]&&(a[t]=o[t])}));var s=kp(a,r);this._location={x:s.x,y:s.y},this._size=[s.width,s.height],this._orient===MF&&this._size.reverse()},e.prototype._positionGroup=function(){var t=this.group,e=this._location,n=this._orient,i=this.dataZoomModel.getFirstTargetAxisModel(),r=i&&i.get("inverse"),o=this._displayables.sliderGroup,a=(this._dataShadowInfo||{}).otherAxisInverse;o.attr(n!==SF||r?n===SF&&r?{scaleY:a?1:-1,scaleX:-1}:n!==MF||r?{scaleY:a?-1:1,scaleX:-1,rotation:Math.PI/2}:{scaleY:a?-1:1,scaleX:1,rotation:Math.PI/2}:{scaleY:a?1:-1,scaleX:1});var s=t.getBoundingRect([o]);t.x=e.x-s.x,t.y=e.y-s.y,t.markRedraw()},e.prototype._getViewExtent=function(){return[0,this._size[0]]},e.prototype._renderBackground=function(){var t=this.dataZoomModel,e=this._size,n=this._displayables.sliderGroup,i=t.get("brushSelect");n.add(new wF({silent:!0,shape:{x:0,y:0,width:e[0],height:e[1]},style:{fill:t.get("backgroundColor")},z2:-40}));var r=new wF({shape:{x:0,y:0,width:e[0],height:e[1]},style:{fill:"transparent"},z2:0,onclick:W(this._onClickPanel,this)}),o=this.api.getZr();i?(r.on("mousedown",this._onBrushStart,this),r.cursor="crosshair",o.on("mousemove",this._onBrush),o.on("mouseup",this._onBrushEnd)):(o.off("mousemove",this._onBrush),o.off("mouseup",this._onBrushEnd)),n.add(r)},e.prototype._renderDataShadow=function(){var t=this._dataShadowInfo=this._prepareDataShadowInfo();if(this._displayables.dataShadowSegs=[],t){var e=this._size,n=this._shadowSize||[],i=t.series,r=i.getRawData(),o=i.getShadowDim&&i.getShadowDim(),a=o&&r.getDimensionInfo(o)?i.getShadowDim():t.otherDim;if(null!=a){var s=this._shadowPolygonPts,l=this._shadowPolylinePts;if(r!==this._shadowData||a!==this._shadowDim||e[0]!==n[0]||e[1]!==n[1]){var u=r.getDataExtent(a),h=.3*(u[1]-u[0]);u=[u[0]-h,u[1]+h];var c,p=[0,e[1]],d=[0,e[0]],f=[[e[0],0],[0,0]],g=[],y=d[1]/(r.count()-1),v=0,m=Math.round(r.count()/e[0]);r.each([a],(function(t,e){if(m>0&&e%m)v+=y;else{var n=null==t||isNaN(t)||""===t,i=n?0:Kr(t,u,p,!0);n&&!c&&e?(f.push([f[f.length-1][0],0]),g.push([g[g.length-1][0],0])):!n&&c&&(f.push([v,0]),g.push([v,0])),f.push([v,i]),g.push([v,i]),v+=y,c=n}})),s=this._shadowPolygonPts=f,l=this._shadowPolylinePts=g}this._shadowData=r,this._shadowDim=a,this._shadowSize=[e[0],e[1]];for(var x=this.dataZoomModel,_=0;_<3;_++){var b=w(1===_);this._displayables.sliderGroup.add(b),this._displayables.dataShadowSegs.push(b)}}}function w(t){var e=x.getModel(t?"selectedDataBackground":"dataBackground"),n=new Br,i=new Xu({shape:{points:s},segmentIgnoreThreshold:1,style:e.getModel("areaStyle").getAreaStyle(),silent:!0,z2:-20}),r=new Zu({shape:{points:l},segmentIgnoreThreshold:1,style:e.getModel("lineStyle").getLineStyle(),silent:!0,z2:-19});return n.add(i),n.add(r),n}},e.prototype._prepareDataShadowInfo=function(){var t=this.dataZoomModel,e=t.get("showDataShadow");if(!1!==e){var n,i=this.ecModel;return t.eachTargetAxis((function(r,o){E(t.getAxisProxy(r,o).getTargetSeriesModels(),(function(t){if(!(n||!0!==e&&P(IF,t.get("type"))<0)){var a,s=i.getComponent(nz(r),o).axis,l=function(t){var e={x:"y",y:"x",radius:"angle",angle:"radius"};return e[t]}(r),u=t.coordinateSystem;null!=l&&u.getOtherAxis&&(a=u.getOtherAxis(s).inverse),l=t.getData().mapDimension(l),n={thisAxis:s,series:t,thisDim:r,otherDim:l,otherAxisInverse:a}}}),this)}),this),n}},e.prototype._renderHandle=function(){var t=this.group,e=this._displayables,n=e.handles=[null,null],i=e.handleLabels=[null,null],r=this._displayables.sliderGroup,o=this._size,a=this.dataZoomModel,s=this.api,l=a.get("borderRadius")||0,u=a.get("brushSelect"),h=e.filler=new wF({silent:u,style:{fill:a.get("fillerColor")},textConfig:{position:"inside"}});r.add(h),r.add(new wF({silent:!0,subPixelOptimize:!0,shape:{x:0,y:0,width:o[0],height:o[1],r:l},style:{stroke:a.get("dataBackgroundColor")||a.get("borderColor"),lineWidth:1,fill:"rgba(0,0,0,0)"}})),E([0,1],(function(e){var o=a.get("handleIcon");!Wy[o]&&o.indexOf("path://")<0&&o.indexOf("image://")<0&&(o="path://"+o);var s=Xy(o,-1,0,2,2,null,!0);s.attr({cursor:DF(this._orient),draggable:!0,drift:W(this._onDragMove,this,e),ondragend:W(this._onDragEnd,this),onmouseover:W(this._showDataInfo,this,!0),onmouseout:W(this._showDataInfo,this,!1),z2:5});var l=s.getBoundingRect(),u=a.get("handleSize");this._handleHeight=$r(u,this._size[1]),this._handleWidth=l.width/l.height*this._handleHeight,s.setStyle(a.getModel("handleStyle").getItemStyle()),s.style.strokeNoScale=!0,s.rectHover=!0,s.ensureState("emphasis").style=a.getModel(["emphasis","handleStyle"]).getItemStyle(),Ul(s);var h=a.get("handleColor");null!=h&&(s.style.fill=h),r.add(n[e]=s);var c=a.getModel("textStyle");t.add(i[e]=new Xs({silent:!0,invisible:!0,style:oc(c,{x:0,y:0,text:"",verticalAlign:"middle",align:"center",fill:c.getTextColor(),font:c.getFont()}),z2:10}))}),this);var c=h;if(u){var p=$r(a.get("moveHandleSize"),o[1]),d=e.moveHandle=new Ws({style:a.getModel("moveHandleStyle").getItemStyle(),silent:!0,shape:{r:[0,0,2,2],y:o[1]-.5,height:p}}),f=.8*p,g=e.moveHandleIcon=Xy(a.get("moveHandleIcon"),-f/2,-f/2,f,f,"#fff",!0);g.silent=!0,g.y=o[1]+p/2-.5,d.ensureState("emphasis").style=a.getModel(["emphasis","moveHandleStyle"]).getItemStyle();var y=Math.min(o[1]/2,Math.max(p,10));(c=e.moveZone=new Ws({invisible:!0,shape:{y:o[1]-y,height:p+y}})).on("mouseover",(function(){s.enterEmphasis(d)})).on("mouseout",(function(){s.leaveEmphasis(d)})),r.add(d),r.add(g),r.add(c)}c.attr({draggable:!0,cursor:DF(this._orient),drift:W(this._onDragMove,this,"all"),ondragstart:W(this._showDataInfo,this,!0),ondragend:W(this._onDragEnd,this),onmouseover:W(this._showDataInfo,this,!0),onmouseout:W(this._showDataInfo,this,!1)})},e.prototype._resetInterval=function(){var t=this._range=this.dataZoomModel.getPercentRange(),e=this._getViewExtent();this._handleEnds=[Kr(t[0],[0,100],e,!0),Kr(t[1],[0,100],e,!0)]},e.prototype._updateInterval=function(t,e){var n=this.dataZoomModel,i=this._handleEnds,r=this._getViewExtent(),o=n.findRepresentativeAxisProxy().getMinMaxSpan(),a=[0,100];zk(e,i,r,n.get("zoomLock")?"all":t,null!=o.minSpan?Kr(o.minSpan,a,r,!0):null,null!=o.maxSpan?Kr(o.maxSpan,a,r,!0):null);var s=this._range,l=this._range=Qr([Kr(i[0],r,a,!0),Kr(i[1],r,a,!0)]);return!s||s[0]!==l[0]||s[1]!==l[1]},e.prototype._updateView=function(t){var e=this._displayables,n=this._handleEnds,i=Qr(n.slice()),r=this._size;E([0,1],(function(t){var i=e.handles[t],o=this._handleHeight;i.attr({scaleX:o/2,scaleY:o/2,x:n[t]+(t?-1:1),y:r[1]/2-o/2})}),this),e.filler.setShape({x:i[0],y:0,width:i[1]-i[0],height:r[1]});var o={x:i[0],width:i[1]-i[0]};e.moveHandle&&(e.moveHandle.setShape(o),e.moveZone.setShape(o),e.moveZone.getBoundingRect(),e.moveHandleIcon&&e.moveHandleIcon.attr("x",o.x+o.width/2));for(var a=e.dataShadowSegs,s=[0,i[0],i[1],r[0]],l=0;le[0]||n[1]<0||n[1]>e[1])){var i=this._handleEnds,r=(i[0]+i[1])/2,o=this._updateInterval("all",n[0]-r);this._updateView(),o&&this._dispatchZoomAction(!1)}},e.prototype._onBrushStart=function(t){var e=t.offsetX,n=t.offsetY;this._brushStart=new De(e,n),this._brushing=!0,this._brushStartTime=+new Date},e.prototype._onBrushEnd=function(t){if(this._brushing){var e=this._displayables.brushRect;if(this._brushing=!1,e){e.attr("ignore",!0);var n=e.shape;if(!(+new Date-this._brushStartTime<200&&Math.abs(n.width)<5)){var i=this._getViewExtent(),r=[0,100];this._range=Qr([Kr(n.x,i,r,!0),Kr(n.x+n.width,i,r,!0)]),this._handleEnds=[n.x,n.x+n.width],this._updateView(),this._dispatchZoomAction(!1)}}}},e.prototype._onBrush=function(t){this._brushing&&(de(t.event),this._updateBrushRect(t.offsetX,t.offsetY))},e.prototype._updateBrushRect=function(t,e){var n=this._displayables,i=this.dataZoomModel,r=n.brushRect;r||(r=n.brushRect=new wF({silent:!0,style:i.getModel("brushStyle").getItemStyle()}),n.sliderGroup.add(r)),r.attr("ignore",!1);var o=this._brushStart,a=this._displayables.sliderGroup,s=a.transformCoordToLocal(t,e),l=a.transformCoordToLocal(o.x,o.y),u=this._size;s[0]=Math.max(Math.min(u[0],s[0]),0),r.setShape({x:l[0],y:0,width:s[0]-l[0],height:u[1]})},e.prototype._dispatchZoomAction=function(t){var e=this._range;this.api.dispatchAction({type:"dataZoom",from:this.uid,dataZoomId:this.dataZoomModel.id,animation:t?TF:null,start:e[0],end:e[1]})},e.prototype._findCoordRect=function(){var t,e=rz(this.dataZoomModel).infoList;if(!t&&e.length){var n=e[0].model.coordinateSystem;t=n.getRect&&n.getRect()}if(!t){var i=this.api.getWidth(),r=this.api.getHeight();t={x:.2*i,y:.2*r,width:.6*i,height:.6*r}}return t},e.type="dataZoom.slider",e}(uz);function DF(t){return"vertical"===t?"ns-resize":"ew-resize"}function AF(t){t.registerComponentModel(bF),t.registerComponentView(CF),yz(t)}var kF=function(t,e,n){var i=T((LF[t]||{})[e]);return n&&Y(i)?i[i.length-1]:i},LF={color:{active:["#006edd","#e0ffff"],inactive:["rgba(0,0,0,0)"]},colorHue:{active:[0,360],inactive:[0,0]},colorSaturation:{active:[.3,1],inactive:[0,0]},colorLightness:{active:[.9,.5],inactive:[0,0]},colorAlpha:{active:[.3,1],inactive:[0,0]},opacity:{active:[.3,1],inactive:[0,0]},symbol:{active:["circle","roundRect","diamond"],inactive:["none"]},symbolSize:{active:[10,50],inactive:[0,0]}},PF=kD.mapVisual,OF=kD.eachVisual,RF=Y,NF=E,EF=Qr,zF=Kr,VF=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.stateList=["inRange","outOfRange"],n.replacableOptionKeys=["inRange","outOfRange","target","controller","color"],n.layoutMode={type:"box",ignoreSize:!0},n.dataBound=[-1/0,1/0],n.targetVisuals={},n.controllerVisuals={},n}return n(e,t),e.prototype.init=function(t,e,n){this.mergeDefaultAndTheme(t,n)},e.prototype.optionUpdated=function(t,e){var n=this.option;!e&&PV(n,t,this.replacableOptionKeys),this.textStyleModel=this.getModel("textStyle"),this.resetItemSize(),this.completeVisualOption()},e.prototype.resetVisual=function(t){var e=this.stateList;t=W(t,this),this.controllerVisuals=LV(this.option.controller,e,t),this.targetVisuals=LV(this.option.target,e,t)},e.prototype.getItemSymbol=function(){return null},e.prototype.getTargetSeriesIndices=function(){var t=this.option.seriesIndex,e=[];return null==t||"all"===t?this.ecModel.eachSeries((function(t,n){e.push(n)})):e=To(t),e},e.prototype.eachTargetSeries=function(t,e){E(this.getTargetSeriesIndices(),(function(n){var i=this.ecModel.getSeriesByIndex(n);i&&t.call(e,i)}),this)},e.prototype.isTargetSeries=function(t){var e=!1;return this.eachTargetSeries((function(n){n===t&&(e=!0)})),e},e.prototype.formatValueText=function(t,e,n){var i,r=this.option,o=r.precision,a=this.dataBound,s=r.formatter;n=n||["<",">"],Y(t)&&(t=t.slice(),i=!0);var l=e?t:i?[u(t[0]),u(t[1])]:u(t);return U(s)?s.replace("{value}",i?l[0]:l).replace("{value2}",i?l[1]:l):X(s)?i?s(t[0],t[1]):s(t):i?t[0]===a[0]?n[0]+" "+l[1]:t[1]===a[1]?n[1]+" "+l[0]:l[0]+" - "+l[1]:l;function u(t){return t===a[0]?"min":t===a[1]?"max":(+t).toFixed(Math.min(o,20))}},e.prototype.resetExtent=function(){var t=this.option,e=EF([t.min,t.max]);this._dataExtent=e},e.prototype.getDataDimensionIndex=function(t){var e=this.option.dimension;if(null!=e)return t.getDimensionIndex(e);for(var n=t.dimensions,i=n.length-1;i>=0;i--){var r=n[i],o=t.getDimensionInfo(r);if(!o.isCalculationCoord)return o.storeDimIndex}},e.prototype.getExtent=function(){return this._dataExtent.slice()},e.prototype.completeVisualOption=function(){var t=this.ecModel,e=this.option,n={inRange:e.inRange,outOfRange:e.outOfRange},i=e.target||(e.target={}),r=e.controller||(e.controller={});C(i,n),C(r,n);var o=this.isCategory();function a(n){RF(e.color)&&!n.inRange&&(n.inRange={color:e.color.slice().reverse()}),n.inRange=n.inRange||{color:t.get("gradientColor")}}a.call(this,i),a.call(this,r),function(t,e,n){var i=t[e],r=t[n];i&&!r&&(r=t[n]={},NF(i,(function(t,e){if(kD.isValidType(e)){var n=kF(e,"inactive",o);null!=n&&(r[e]=n,"color"!==e||r.hasOwnProperty("opacity")||r.hasOwnProperty("colorAlpha")||(r.opacity=[0,0]))}})))}.call(this,i,"inRange","outOfRange"),function(t){var e=(t.inRange||{}).symbol||(t.outOfRange||{}).symbol,n=(t.inRange||{}).symbolSize||(t.outOfRange||{}).symbolSize,i=this.get("inactiveColor"),r=this.getItemSymbol()||"roundRect";NF(this.stateList,(function(a){var s=this.itemSize,l=t[a];l||(l=t[a]={color:o?i:[i]}),null==l.symbol&&(l.symbol=e&&T(e)||(o?r:[r])),null==l.symbolSize&&(l.symbolSize=n&&T(n)||(o?s[0]:[s[0],s[0]])),l.symbol=PF(l.symbol,(function(t){return"none"===t?r:t}));var u=l.symbolSize;if(null!=u){var h=-1/0;OF(u,(function(t){t>h&&(h=t)})),l.symbolSize=PF(u,(function(t){return zF(t,[0,h],[0,s[0]],!0)}))}}),this)}.call(this,r)},e.prototype.resetItemSize=function(){this.itemSize=[parseFloat(this.get("itemWidth")),parseFloat(this.get("itemHeight"))]},e.prototype.isCategory=function(){return!!this.option.categories},e.prototype.setSelected=function(t){},e.prototype.getSelected=function(){return null},e.prototype.getValueState=function(t){return null},e.prototype.getVisualMeta=function(t){return null},e.type="visualMap",e.dependencies=["series"],e.defaultOption={show:!0,z:4,seriesIndex:"all",min:0,max:200,left:0,right:null,top:null,bottom:0,itemWidth:null,itemHeight:null,inverse:!1,orient:"vertical",backgroundColor:"rgba(0,0,0,0)",borderColor:"#ccc",contentColor:"#5793f3",inactiveColor:"#aaa",borderWidth:0,padding:5,textGap:10,precision:0,textStyle:{color:"#333"}},e}(zp),BF=[20,140],FF=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.optionUpdated=function(e,n){t.prototype.optionUpdated.apply(this,arguments),this.resetExtent(),this.resetVisual((function(t){t.mappingMethod="linear",t.dataExtent=this.getExtent()})),this._resetRange()},e.prototype.resetItemSize=function(){t.prototype.resetItemSize.apply(this,arguments);var e=this.itemSize;(null==e[0]||isNaN(e[0]))&&(e[0]=BF[0]),(null==e[1]||isNaN(e[1]))&&(e[1]=BF[1])},e.prototype._resetRange=function(){var t=this.getExtent(),e=this.option.range;!e||e.auto?(t.auto=1,this.option.range=t):Y(e)&&(e[0]>e[1]&&e.reverse(),e[0]=Math.max(e[0],t[0]),e[1]=Math.min(e[1],t[1]))},e.prototype.completeVisualOption=function(){t.prototype.completeVisualOption.apply(this,arguments),E(this.stateList,(function(t){var e=this.option.controller[t].symbolSize;e&&e[0]!==e[1]&&(e[0]=e[1]/3)}),this)},e.prototype.setSelected=function(t){this.option.range=t.slice(),this._resetRange()},e.prototype.getSelected=function(){var t=this.getExtent(),e=Qr((this.get("range")||[]).slice());return e[0]>t[1]&&(e[0]=t[1]),e[1]>t[1]&&(e[1]=t[1]),e[0]=n[1]||t<=e[1])?"inRange":"outOfRange"},e.prototype.findTargetDataIndices=function(t){var e=[];return this.eachTargetSeries((function(n){var i=[],r=n.getData();r.each(this.getDataDimensionIndex(r),(function(e,n){t[0]<=e&&e<=t[1]&&i.push(n)}),this),e.push({seriesId:n.id,dataIndex:i})}),this),e},e.prototype.getVisualMeta=function(t){var e=GF(this,"outOfRange",this.getExtent()),n=GF(this,"inRange",this.option.range.slice()),i=[];function r(e,n){i.push({value:e,color:t(e,n)})}for(var o=0,a=0,s=n.length,l=e.length;at[1])break;n.push({color:this.getControllerVisual(o,"color",e),offset:r/100})}return n.push({color:this.getControllerVisual(t[1],"color",e),offset:1}),n},e.prototype._createBarPoints=function(t,e){var n=this.visualMapModel.itemSize;return[[n[0]-e[0],t[0]],[n[0],t[0]],[n[0],t[1]],[n[0]-e[1],t[1]]]},e.prototype._createBarGroup=function(t){var e=this._orient,n=this.visualMapModel.get("inverse");return new Br("horizontal"!==e||n?"horizontal"===e&&n?{scaleX:"bottom"===t?-1:1,rotation:-Math.PI/2}:"vertical"!==e||n?{scaleX:"left"===t?1:-1}:{scaleX:"left"===t?1:-1,scaleY:-1}:{scaleX:"bottom"===t?1:-1,rotation:Math.PI/2})},e.prototype._updateHandle=function(t,e){if(this._useHandle){var n=this._shapes,i=this.visualMapModel,r=n.handleThumbs,o=n.handleLabels,a=i.itemSize,s=i.getExtent();ZF([0,1],(function(l){var u=r[l];u.setStyle("fill",e.handlesColor[l]),u.y=t[l];var h=UF(t[l],[0,a[1]],s,!0),c=this.getControllerVisual(h,"symbolSize");u.scaleX=u.scaleY=c/a[0],u.x=a[0]-c/2;var p=Fh(n.handleLabelPoints[l],Bh(u,this.group));o[l].setStyle({x:p[0],y:p[1],text:i.formatValueText(this._dataInterval[l]),verticalAlign:"middle",align:"vertical"===this._orient?this._applyTransform("left",n.mainGroup):"center"})}),this)}},e.prototype._showIndicator=function(t,e,n,i){var r=this.visualMapModel,o=r.getExtent(),a=r.itemSize,s=[0,a[1]],l=this._shapes,u=l.indicator;if(u){u.attr("invisible",!1);var h=this.getControllerVisual(t,"color",{convertOpacityToAlpha:!0}),c=this.getControllerVisual(t,"symbolSize"),p=UF(t,o,s,!0),d=a[0]-c/2,f={x:u.x,y:u.y};u.y=p,u.x=d;var g=Fh(l.indicatorLabelPoint,Bh(u,this.group)),y=l.indicatorLabel;y.attr("invisible",!1);var v=this._applyTransform("left",l.mainGroup),m="horizontal"===this._orient;y.setStyle({text:(n||"")+r.formatValueText(e),verticalAlign:m?v:"middle",align:m?"center":v});var x={x:d,y:p,style:{fill:h}},_={style:{x:g[0],y:g[1]}};if(r.ecModel.isAnimationEnabled()&&!this._firstShowIndicator){var b={duration:100,easing:"cubicInOut",additive:!0};u.x=f.x,u.y=f.y,u.animateTo(x,b),y.animateTo(_,b)}else u.attr(x),y.attr(_);this._firstShowIndicator=!1;var w=this._shapes.handleLabels;if(w)for(var S=0;Sr[1]&&(u[1]=1/0),e&&(u[0]===-1/0?this._showIndicator(l,u[1],"< ",a):u[1]===1/0?this._showIndicator(l,u[0],"> ",a):this._showIndicator(l,l,"≈ ",a));var h=this._hoverLinkDataIndices,c=[];(e||JF(n))&&(c=this._hoverLinkDataIndices=n.findTargetDataIndices(u));var p=function(t,e){var n={},i={};return r(t||[],n),r(e||[],i,n),[o(n),o(i)];function r(t,e,n){for(var i=0,r=t.length;i=0&&(r.dimension=o,i.push(r))}})),t.getData().setVisual("visualMeta",i)}}];function iG(t,e,n,i){for(var r=e.targetVisuals[i],o=kD.prepareVisualTypes(r),a={color:Ay(t.getData(),"color")},s=0,l=o.length;s0:t.splitNumber>0)&&!t.calculable?"piecewise":"continuous"})),t.registerAction(tG,eG),E(nG,(function(e){t.registerVisual(t.PRIORITY.VISUAL.COMPONENT,e)})),t.registerPreprocessor(oG))}function uG(t){t.registerComponentModel(FF),t.registerComponentView(KF),lG(t)}var hG=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n._pieceList=[],n}return n(e,t),e.prototype.optionUpdated=function(e,n){t.prototype.optionUpdated.apply(this,arguments),this.resetExtent();var i=this._mode=this._determineMode();this._pieceList=[],cG[this._mode].call(this,this._pieceList),this._resetSelected(e,n);var r=this.option.categories;this.resetVisual((function(t,e){"categories"===i?(t.mappingMethod="category",t.categories=T(r)):(t.dataExtent=this.getExtent(),t.mappingMethod="piecewise",t.pieceList=z(this._pieceList,(function(t){return t=T(t),"inRange"!==e&&(t.visual=null),t})))}))},e.prototype.completeVisualOption=function(){var e=this.option,n={},i=kD.listVisualTypes(),r=this.isCategory();function o(t,e,n){return t&&t[e]&&t[e].hasOwnProperty(n)}E(e.pieces,(function(t){E(i,(function(e){t.hasOwnProperty(e)&&(n[e]=1)}))})),E(n,(function(t,n){var i=!1;E(this.stateList,(function(t){i=i||o(e,t,n)||o(e.target,t,n)}),this),!i&&E(this.stateList,(function(t){(e[t]||(e[t]={}))[n]=kF(n,"inRange"===t?"active":"inactive",r)}))}),this),t.prototype.completeVisualOption.apply(this,arguments)},e.prototype._resetSelected=function(t,e){var n=this.option,i=this._pieceList,r=(e?n:t).selected||{};if(n.selected=r,E(i,(function(t,e){var n=this.getSelectedMapKey(t);r.hasOwnProperty(n)||(r[n]=!0)}),this),"single"===n.selectedMode){var o=!1;E(i,(function(t,e){var n=this.getSelectedMapKey(t);r[n]&&(o?r[n]=!1:o=!0)}),this)}},e.prototype.getItemSymbol=function(){return this.get("itemSymbol")},e.prototype.getSelectedMapKey=function(t){return"categories"===this._mode?t.value+"":t.index+""},e.prototype.getPieceList=function(){return this._pieceList},e.prototype._determineMode=function(){var t=this.option;return t.pieces&&t.pieces.length>0?"pieces":this.option.categories?"categories":"splitNumber"},e.prototype.setSelected=function(t){this.option.selected=T(t)},e.prototype.getValueState=function(t){var e=kD.findPieceIndex(t,this._pieceList);return null!=e&&this.option.selected[this.getSelectedMapKey(this._pieceList[e])]?"inRange":"outOfRange"},e.prototype.findTargetDataIndices=function(t){var e=[],n=this._pieceList;return this.eachTargetSeries((function(i){var r=[],o=i.getData();o.each(this.getDataDimensionIndex(o),(function(e,i){kD.findPieceIndex(e,n)===t&&r.push(i)}),this),e.push({seriesId:i.id,dataIndex:r})}),this),e},e.prototype.getRepresentValue=function(t){var e;if(this.isCategory())e=t.value;else if(null!=t.value)e=t.value;else{var n=t.interval||[];e=n[0]===-1/0&&n[1]===1/0?0:(n[0]+n[1])/2}return e},e.prototype.getVisualMeta=function(t){if(!this.isCategory()){var e=[],n=["",""],i=this,r=this._pieceList.slice();if(r.length){var o=r[0].interval[0];o!==-1/0&&r.unshift({interval:[-1/0,o]}),(o=r[r.length-1].interval[1])!==1/0&&r.push({interval:[o,1/0]})}else r.push({interval:[-1/0,1/0]});var a=-1/0;return E(r,(function(t){var e=t.interval;e&&(e[0]>a&&s([a,e[0]],"outOfRange"),s(e.slice()),a=e[1])}),this),{stops:e,outerColors:n}}function s(r,o){var a=i.getRepresentValue({interval:r});o||(o=i.getValueState(a));var s=t(a,o);r[0]===-1/0?n[0]=s:r[1]===1/0?n[1]=s:e.push({value:r[0],color:s},{value:r[1],color:s})}},e.type="visualMap.piecewise",e.defaultOption=kc(VF.defaultOption,{selected:null,minOpen:!1,maxOpen:!1,align:"auto",itemWidth:20,itemHeight:14,itemSymbol:"roundRect",pieces:null,categories:null,splitNumber:5,selectedMode:"multiple",itemGap:10,hoverLink:!0}),e}(VF),cG={splitNumber:function(t){var e=this.option,n=Math.min(e.precision,20),i=this.getExtent(),r=e.splitNumber;r=Math.max(parseInt(r,10),1),e.splitNumber=r;for(var o=(i[1]-i[0])/r;+o.toFixed(n)!==o&&n<5;)n++;e.precision=n,o=+o.toFixed(n),e.minOpen&&t.push({interval:[-1/0,i[0]],close:[0,0]});for(var a=0,s=i[0];a","≥"][e[0]]];t.text=t.text||this.formatValueText(null!=t.value?t.value:t.interval,!1,n)}),this)}};function pG(t,e){var n=t.inverse;("vertical"===t.orient?!n:n)&&e.reverse()}var dG=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n}return n(e,t),e.prototype.doRender=function(){var 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+ - stock + - stock_daily + - adjust_factor + - daily_basic + - financial_indicator + - stock_name_history + - trading_calendar + + # 允许写入的 qlib 既有表（仅新增行，禁止 UPDATE/DELETE） + allow_write_tables: + - index_weight + + # 历史回补专用允许列表（P0b 使用；默认关闭） + # 注意：回补通道使用 INSERT IGNORE，**绝不覆盖既有行**， + # 因此对 qlib 现有数据是纯追加，可安全用于 2015-2018 区间补齐。 + backfill_tables: + - stock_daily + - adjust_factor + - daily_basic + allow_backfill: false + + # ---- 本项目自有表前缀 ---- + # ddl.py 拒绝创建非该前缀的表；写操作拒绝指向非该前缀的表 + own_prefix: hd_ + # qlib 的 alembic 版本链禁止被本项目触碰 + forbidden_tables: + - alembic_version + + forbid_delete: true + +tushare: + api_url: http://api.tushare.pro + token_env: TUSHARE_TOKEN + # 限频是**按接口**计算的（实测：dividend 为 200 次/分钟， + # 超过会返回「抱歉，您访问接口(dividend)频率超限(200次/分钟)」并中断任务）。 + # 因此这里为每个接口单独配置，取值留安全余量。 + rate_limit_default: 380 + rate_limits: + dividend: 180 # 实测上限 200/min + fina_indicator: 180 + cashflow: 180 + balancesheet: 180 + income: 180 + index_weight: 180 + suspend_d: 180 + stk_limit: 180 + daily: 480 + adj_factor: 480 + daily_basic: 480 + index_daily: 180 + retry: 4 + retry_backoff_sec: 2 + timeout_sec: 60 + # 单次请求最大等待（长任务） + max_retry_backoff_sec: 30 + # 命中限频时强制等待的秒数（Tushare 为滑动 60 秒窗口） + rate_limit_cooldown_sec: 62 + +paths: + output_dir: output + templates_dir: templates + assets_dir: assets + log_dir: logs diff --git a/config/profile.yml b/config/profile.yml new file mode 100644 index 0000000..be4e9ab --- /dev/null +++ b/config/profile.yml @@ -0,0 +1,95 @@ +# ============================================================ +# 个股特性（StockProfile）配置（★ 可直接修改） +# 对应 plan.md §8–§15：股息率分析 / 估值分布 / 财务质量 / 分红质量 / +# 风险特征 / 安全边际模型 +# ============================================================ +version: 1 +name: default_profile + +# 统计窗口（年）。plan.md §13 要求观察 5 / 8 / 10 年趋势。 +windows_years: [5, 8, 10] + +# ------------------------------------------------------------ +# TTM 股息率口径 +# ------------------------------------------------------------ +ttm_dividend: + # TTM 每股分红的回看天数 + window_days: 365 + # 宽限期：A 股年度分红除权间隔中位数约 366 天（实测招商银行最长 393 天）， + # 严格 365 天窗口会制造「空窗期」把股息率算成 0 —— 统计假象。 + # 仅当严格窗口结果为零时，回退到 window_days + grace_days。 + grace_days: 45 +# 单个窗口内最少样本数（日频），不足则该窗口统计标记为 insufficient +min_obs_days: 500 +# 序列落库上限（每股每指标），供 HTML 画图；超出时等间隔降采样（统计量仍用全量日频） +series_max_points: 1500 +# 哪些指标需要落序列（供图表）；不在此列表的指标只算统计量，不落序列 +series_metrics: [dv_yield, pe_ttm, pb, close, drawdown] + +# ------------------------------------------------------------ +# 计算哪些指标 +# ------------------------------------------------------------ +metrics: + # 估值：PE / PB / PS / 股息率（plan.md §9/§12） + valuation: [dv_yield, pe_ttm, pb, ps_ttm] + # 财务质量：plan.md §13 + financial: + [roe, roic, revenue, net_profit, gross_margin, net_margin, + ocf, fcf, debt_to_assets, interest_cover] + # 分红质量：plan.md §14 + dividend: + [dps, dps_cagr, dps_volatility, payout_ratio, + fcf_dividend_cover, dividend_continuity_years] + # 风险特征：plan.md §11 + §28.2 + risk: [vol_60d, vol_250d, max_drawdown_3y, beta_300, avg_amount_20d] + # 收益特征 + return: [ret_1y, ret_3y, ret_5y, cagr_5y] + +# ------------------------------------------------------------ +# 分位数（plan.md §9 明确要求） +# ------------------------------------------------------------ +percentiles: [10, 25, 50, 75, 90] + +# ------------------------------------------------------------ +# 股息率波动分析（plan.md §11） +# 各频率下的滚动窗口长度（交易日 / 月 / 季 / 年） +# ------------------------------------------------------------ +dividend_yield_volatility: + daily_window: 250 + monthly_window: 60 + quarterly_window: 20 + annual_window: 10 + # 至少多少个观测才输出，否则记为 insufficient + min_obs: 20 + +# ------------------------------------------------------------ +# 安全边际模型（plan.md §15） +# ------------------------------------------------------------ +safety_margin: + # separate —— 分项展示（第一版，plan.md §15 建议） + # composite —— 加权综合评分 + mode: separate + weights: + dividend_yield: 0.30 + valuation: 0.25 + financial_quality: 0.25 + balance_sheet: 0.10 + dividend_quality: 0.10 + score_bounds: [0, 100] + # 分项打分时的分位锚点（分位越高/越低对应满分） + score_anchors: + # 股息率：分位 >= 90 得满分，<= 10 得 0 分 + dividend_yield: { best_percentile: 90, worst_percentile: 10 } + # 估值（PE/PB 越低越好）：分位 <= 10 得满分 + valuation: { best_percentile: 10, worst_percentile: 90 } + financial_quality: { metric: roe, best_abs: 0.20, worst_abs: 0.00 } + balance_sheet: { metric: debt_to_assets, best_abs: 0.20, worst_abs: 0.80 } + dividend_quality: { metric: fcf_dividend_cover, best_abs: 3.0, worst_abs: 0.0 } + +# ------------------------------------------------------------ +# 数据充分性门槛：不足时画像页显式标注「数据不足」，不猜 +# ------------------------------------------------------------ +sufficiency: + min_history_years_dividend: 5 + min_history_years_price: 3 + min_dividend_records: 5 diff --git a/config/report.yml b/config/report.yml new file mode 100644 index 0000000..872bfdf --- /dev/null +++ b/config/report.yml @@ -0,0 +1,81 @@ +# ============================================================ +# 报告与图表输出配置（★ 可直接修改） +# 对应 plan.md §33/§34：K线与交易点、策略研究页面 +# 约定：固定格式 HTML，单文件自包含，离线可开，无 CDN 依赖 +# ============================================================ +version: 1 + +templates_dir: templates +output_dir: output +assets_dir: assets + +theme: light # light | dark | auto +offline_assets: true # 禁止 CDN；图表库必须来自本地 assets/ +# 图表库引用方式： +# shared —— 输出 output/assets/echarts.min.js 并相对引用（默认，体积小、生成快） +# inline —— 直接内联进每个 HTML（单文件可携带，但每份约 +1MB） +asset_mode: shared +include_sql_provenance: true # 页脚展示数据来源 SQL + run_id，便于复现 + +# ------------------------------------------------------------ +# 图表开关（plan.md §33 的四联图 + §28 的绩效图） +# ------------------------------------------------------------ +charts: + # 个股页：K线 / 股息率 / PE / PB / 回撤 共享 X 轴四联图 + kline_signals: true + # 回测页 + equity_curve: true + drawdown: true + yearly_returns: true + monthly_heatmap: true + rolling_metrics: true + sector_exposure: true + position_weights: true + # 画像页 + yield_percentile: true + yield_histogram: true + financial_trend: true + # 研究页 + sensitivity_heatmap: true + walkforward_compare: true + +# ------------------------------------------------------------ +# 固定输出命名（可预测路径） +# +# 注意：静态报告统一输出到 reports/ 子目录，与统一前端（output/index.html +# + output/app/）分离 —— 站点根只保留前端入口，避免几十份报告平铺在一起。 +# 资源引用（assets/echarts.min.js）会按子目录深度自动补 ../。 +# ------------------------------------------------------------ +# 文件名一律带执行 id：同一天用同一 asof 跑多次会产生多条数据库记录， +# 若文件名只按 asof 命名，后一次会覆盖前一次的报告，与「每次运行都留痕」矛盾。 +# 注意：index 是「静态报告目录的索引」，必须放在 reports/ 下。 +# 站点根 output/index.html 归统一前端（web/index.html）所有 —— +# 早期把两者都指向 index.html，导致跑一次 `audit --html` 就把前端首页覆盖成静态索引。 +naming: + index: "reports/index.html" + audit: "reports/data_audit_{date}.html" + universe: "reports/universe_{asof}_{run_id}.html" + profile: "reports/profile_{symbol}_{asof}_{run_id}.html" + backtest: "reports/backtest_{run_id}.html" + walkforward: "reports/walkforward_{wf_id}.html" + sensitivity: "reports/sensitivity_{sens_id}.html" + # 注：策略说明报告（plan.md §36）属第四版扩展（P8），尚未实现， + # 因此不在此声明命名 —— 配置不应承诺不存在的产物。 + +# ------------------------------------------------------------ +# 页面排版参数 +# ------------------------------------------------------------ +layout: + # 内容最大宽度（px） + max_width: 1440 + # 表格分页大小 + table_page_size: 100 + # K 线默认展示天数 + kline_default_days: 1500 + # 净值曲线是否归一化到 1.0 + normalize_nav: true + # 数值小数位 + decimals: + ratio: 4 + money: 2 + price: 2 diff --git a/config/strategy/high_dividend_v1.yml b/config/strategy/high_dividend_v1.yml new file mode 100644 index 0000000..38406f9 --- /dev/null +++ b/config/strategy/high_dividend_v1.yml @@ -0,0 +1,94 @@ +# ============================================================ +# 高股息均值回归策略 v1.0（★ 可直接修改） +# 对应 plan.md §16–§21（买入/卖出/加仓/仓位/风控） +# +# 修改任一字段后 config_hash 变化，历史 run 仍可复现。 +# status 生命周期：DRAFT → RESEARCH → BACKTEST → VALIDATED → PAPER → LIVE → ARCHIVED +# ============================================================ + +strategy: + id: HD_MR_V1 + name: high_dividend_mean_reversion + version: "1.0" + status: DRAFT + description: >- + 高股息 + 安全边际 + 估值均值回归。寻找长期稳定分红、财务质量较好、 + 规模较大、上市时间较长的公司，当其股息率进入历史相对高位时买入， + 当股息率下降到历史相对低位时卖出或减仓。 + +# ------------------------------------------------------------ +# 股票池：引用全局筛选配置，可就地覆盖 +# ------------------------------------------------------------ +universe: + ref: config/universe.yml + # 就地覆盖示例（留空则完全沿用 universe.yml）： + # override: + # dividend: + # min_dividend_yield: 0.035 + override: {} + +# ------------------------------------------------------------ +# 买入规则（plan.md §17） +# ------------------------------------------------------------ +entry: + # 股息率 >= 历史 P75 —— plan.md §43 MVP 买入条件 + yield_percentile: 75 + # 必须通过基本面筛选 + require_universe_pass: true + # 必须未进入风险状态 + require_risk_pass: true + + # 分批建仓（plan.md §19）。留空 => 一次性建满。 + scale_in: + - { percentile: 75, weight: 0.25 } + - { percentile: 80, weight: 0.50 } + - { percentile: 85, weight: 0.75 } + - { percentile: 90, weight: 1.00 } + +# ------------------------------------------------------------ +# 卖出规则（plan.md §18） +# ------------------------------------------------------------ +exit: + # 股息率 <= 历史 P25 —— plan.md §43 MVP 卖出条件 + yield_percentile: 25 + # 分批减仓；weight 为该分位下的目标仓位比例 + scale_out: + - { percentile: 50, weight: 0.50 } + - { percentile: 25, weight: 0.00 } + # 第一版不加止损（plan.md §21：止损易致过拟合） + stop_loss_pct: null + max_holding_days: null + +# ------------------------------------------------------------ +# 仓位控制（plan.md §20） +# ------------------------------------------------------------ +position: + max_position: 0.10 # 单只股票最大仓位 10% + min_position: 0.01 # 低于该权重不建仓（避免碎股） + sector_max_position: 0.25 # 单行业最大仓位 25% + max_holdings: 20 + # equal | score | inverse_vol + weight_scheme: equal + +# ------------------------------------------------------------ +# 风险控制（plan.md §21） +# ------------------------------------------------------------ +risk: + max_portfolio_drawdown: 0.20 + max_single_drawdown: 0.25 + # 单笔成交不超过该股当日成交额的比例 + liquidity_limit_pct_adv: 0.05 + +# ------------------------------------------------------------ +# 撮合 +# ------------------------------------------------------------ +execution: + signal_to_execution: next_open # next_open | next_close | same_close + limit_up_down_rule: skip + suspended_rule: defer + +# ------------------------------------------------------------ +# 成本：引用全局成本模型 +# ------------------------------------------------------------ +cost: + ref: config/cost.yml diff --git a/config/universe.yml b/config/universe.yml new file mode 100644 index 0000000..c364347 --- /dev/null +++ b/config/universe.yml @@ -0,0 +1,143 @@ +# ============================================================ +# 股票筛选条件（★ 可直接修改） +# 对应 plan.md §4/§5 的 MarketFilter / RiskFilter / DividendFilter / +# FinancialQualityFilter。 +# +# 所有阈值只允许出现在本文件；代码中不得硬编码。 +# 修改后 config_hash 变化，历史 run 仍可完整复现。 +# ============================================================ +version: 1 +name: high_dividend_universe + +evaluation: + # point_in_time —— 每个 asof 日期独立求值（回测必须用这个） + # latest —— 仅在最新交易日求值一次 + mode: point_in_time + asof: latest + +# ------------------------------------------------------------ +# MarketFilter —— 市场属性 +# ------------------------------------------------------------ +market: + # 交易所白名单。需要北交所时加 BSE。 + exchanges: [SZSE, SSE] + # 板块白名单：主板 / 创业板 / 科创板 / 北交所 + markets: [主板, 创业板, 科创板] + # 上市年限下限（年）—— plan.md §4「上市 ≥ 10 年」 + min_listing_years: 10 + # 总市值下限（元）—— plan.md §4「市值 ≥ 500 亿」 + min_market_cap: 50000000000 + # 流通市值下限（元）；null = 不限制 + min_float_market_cap: null + # 近 20 日日均成交额下限（元）—— 流动性过滤 + min_avg_amount_20d: 20000000 + # 要求 asof 当日正常交易（非停牌） + require_trading_on_asof: true + +# ------------------------------------------------------------ +# 行业豁免（对 RiskFilter 与 FinancialQualityFilter 同时生效） +# 银行/保险/证券的负债率天然在 90% 上下、且没有「自由现金流」的概念， +# 若不做豁免，高股息策略里最重要的银行板块会被全部误杀 +# （实测：招商银行 90.2% 会被 risk.max_debt_to_assets 直接淘汰）。 +# ------------------------------------------------------------ +industry_exemptions: + # 豁免资产负债率上限的行业 + leverage: [银行, 保险, 证券, 信托] + # 豁免「自由现金流为正 / FCF 覆盖分红 / 经营现金流对利润」要求的行业 + free_cash_flow: [银行, 保险, 证券, 信托] + +# ------------------------------------------------------------ +# RiskFilter —— 风险过滤 +# ------------------------------------------------------------ +risk: + # 排除 ST / *ST（依据 stock_name_history 按日期还原，而非只看当前名） + exclude_st: true + st_lookback_from_history: true + # 排除退市整理 / 已退市 + exclude_delisting: true + # 排除 asof 当日停牌 + exclude_suspended: true + # 排除净资产为负 + exclude_negative_equity: true + # 资产负债率上限；null = 不限制。金融股由 industry_exemptions.leverage 豁免 + max_debt_to_assets: 0.80 + # 大股东质押比例上限；null = 不限制（需额外数据源） + max_pledge_ratio: null + # 重大诉讼；当前无数据源，保持 false + exclude_major_litigation: false + # 商誉异常；当前无数据源，保持 false + exclude_goodwill_anomaly: false + +# ------------------------------------------------------------ +# DividendFilter —— 分红过滤 +# ------------------------------------------------------------ +dividend: + # 股息率口径： + # computed —— 自算 PIT-TTM（按 imp_ann_date 生效），无未来函数【回测主口径】 + # dv_ttm —— 直接用 daily_basic.dv_ttm（仅交叉校验） + yield_source: computed + # 当前股息率下限 —— plan.md §4「股息率 ≥ 3%」 + min_dividend_yield: 0.03 + + # 连续分红年限下限 —— plan.md §4「连续现金分红 ≥ 5 年」 + min_continuous_years: 5 + # 认定一次分红的规则（D6 决策）： + # cash_div_tax_gt_0 —— 税前现金分红 > 0，且 div_proc='实施'，且有 ex_date 或 pay_date + continuous_rule: cash_div_tax_gt_0 + # 考察窗口（年） + window_years: 6 + # 窗口内最少分红年数 + min_dividend_years_in_window: 5 + + # 分红支付率上下限；null = 不限制 + max_payout_ratio: 1.00 + min_payout_ratio: null + # 5 年 DPS 复合增速下限；null = 不限制 + min_dps_cagr_5y: null + # 要求自由现金流为正 + require_positive_fcf: true + # 自由现金流对分红的覆盖倍数下限（FCF / 现金分红总额） + min_fcf_dividend_cover: 1.0 + + # 当「验证所需的数据缺失」时如何处理（安全边际策略的关键取舍）： + # pass —— 放行（宽松）。避免因数据未同步而误杀，但会让「无法验证现金流」 + # 的股票进入组合，与「安全边际」的初衷相悖。 + # reject —— 淘汰（严格）。忠于「FCF 必须为正」的策略逻辑， + # 但结果会依赖数据完整度（数据补齐前后股票池会变化）。 + # 实测：当前全部在市股票均有现金流数据，缺失的 10 只均为 1990 年代退市股 + # （已被 risk.exclude_delisting 排除），因此两种设置结果相同。 + # 若你希望「宁可错过、不可踩雷」，改为 reject。 + on_missing_data: pass + +# ------------------------------------------------------------ +# FinancialQualityFilter —— 财务质量过滤 +# ------------------------------------------------------------ +quality: + # 5 年平均 ROE 下限 + min_roe_5y_avg: 0.08 + # 5 年平均 ROIC 下限；null = 不限制 + min_roic_5y_avg: null + min_gross_margin: null + min_net_margin: null + # 经营现金流 / 净利润 下限（盈利质量） + min_ocf_to_profit: 0.60 + # 覆盖 risk.max_debt_to_assets；null = 不覆盖 + max_debt_to_assets: null + # 利息保障倍数下限；null = 不限制 + min_interest_cover: null + # 兼容字段：留空则使用顶层的 industry_exemptions + exempt_industries: [] + # PIT 纪律：只使用公告日 <= asof 的财报 + pit_rule: announce_date_le_asof + # 用哪一期财报：latest_announced（最近已公告）/ ttm + report_basis: latest_announced + +# ------------------------------------------------------------ +# 输出控制 +# ------------------------------------------------------------ +output: + # 成员数少于该值触发 WARN（可能是条件过严或数据缺口） + min_members: 10 + # 成员数上限；null = 不限制。用于回测时控制持仓候选规模 + max_members: 200 + warn_on_empty: true diff --git a/deploy/com.hddiv.web.plist.example b/deploy/com.hddiv.web.plist.example new file mode 100644 index 0000000..d685a95 --- /dev/null +++ b/deploy/com.hddiv.web.plist.example @@ -0,0 +1,60 @@ + + + + + + Label + com.hddiv.web + + ProgramArguments + + __PYTHON__ + -m + hdiv + web + --host + 127.0.0.1 + --port + 8099 + --api-only + + + WorkingDirectory + __PROJECT_ROOT__ + + EnvironmentVariables + + PYTHONPATH + src + LANG + zh_CN.UTF-8 + + + RunAtLoad + + + + KeepAlive + + SuccessfulExit + + + + StandardOutPath + __PROJECT_ROOT__/logs/web.log + StandardErrorPath + __PROJECT_ROOT__/logs/web.err.log + + diff --git a/deploy/install-service.sh b/deploy/install-service.sh new file mode 100755 index 0000000..e77c926 --- /dev/null +++ b/deploy/install-service.sh @@ -0,0 +1,95 @@ +#!/usr/bin/env bash +# ============================================================ +# 把后端 API 服务注册为 macOS launchd 用户级服务（登录自启 + 崩溃自愈） +# +# 用法： +# ./deploy/install-service.sh install 安装并启动（幂等，可重复执行） +# ./deploy/install-service.sh uninstall 停止并移除 +# ./deploy/install-service.sh status 查看状态与连通性 +# ./deploy/install-service.sh reinstall 重新渲染 plist 并重启 +# +# 为什么需要：nginx 由 brew services 托管、开机自启。若后端只是 nohup 进程， +# 机器重启后它就不在了 —— 页面能打开但会显示「API 不可用」。 +# +# 若你不用 launchd，也可用 ./deploy/serve.sh start 手动启动（重启后需再次执行）。 +# ============================================================ +set -euo pipefail + +PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" +TEMPLATE="${PROJECT_ROOT}/deploy/com.hddiv.web.plist.example" +TARGET="${HOME}/Library/LaunchAgents/com.hddiv.web.plist" +LABEL="com.hddiv.web" +PYTHON="${PROJECT_ROOT}/.venv/bin/python" +PORT="${HDDIV_PORT:-8099}" +HOST="${HDDIV_HOST:-127.0.0.1}" + +die() { echo "错误: $*" >&2; exit 1; } + +is_loaded() { launchctl list 2>/dev/null | grep -q "^[0-9-]*[[:space:]]*[0-9-]*[[:space:]]*${LABEL}$"; } + +render() { + [[ -f "${TEMPLATE}" ]] || die "缺少模板：${TEMPLATE}" + [[ -x "${PYTHON}" ]] || die "虚拟环境不可用：${PYTHON}\n请先创建 .venv 并安装依赖" + mkdir -p "${PROJECT_ROOT}/logs" "${HOME}/Library/LaunchAgents" + # 路径含中文与空格，用 sed 的 | 分隔符避免转义问题 + sed -e "s|__PYTHON__|${PYTHON}|g" \ + -e "s|__PROJECT_ROOT__|${PROJECT_ROOT}|g" \ + "${TEMPLATE}" > "${TARGET}" + # 占位符必须全部被替换，否则 launchd 会静默失败 + if grep -q "__" "${TARGET}"; then + die "plist 中仍有未替换的占位符：$(grep -o '__[A-Z_]*__' "${TARGET}" | sort -u | tr '\n' ' ')" + fi + plutil -lint "${TARGET}" >/dev/null || die "plist 格式非法：${TARGET}" + echo "已渲染 ${TARGET}" +} + +cmd_install() { + render + if is_loaded; then + echo "服务已加载，重新加载以应用新配置…" + launchctl unload -w "${TARGET}" 2>/dev/null || true + fi + launchctl load -w "${TARGET}" + sleep 3 + cmd_status +} + +cmd_uninstall() { + if [[ -f "${TARGET}" ]]; then + launchctl unload -w "${TARGET}" 2>/dev/null || true + rm -f "${TARGET}" + echo "已停止并移除 ${TARGET}" + else + echo "${TARGET} 不存在，跳过" + fi +} + +cmd_status() { + echo "=== launchd 服务 ===" + if is_loaded; then + launchctl list | grep "${LABEL}" | awk '{printf " PID=%s 上次退出码=%s %s\n", $1, $2, $3}' + echo " （PID 为 - 表示当前未运行）" + else + echo " 未加载" + fi + echo "=== 后端直连 ===" + if out="$(curl -sS --max-time 3 "http://${HOST}:${PORT}/api/health" 2>&1)"; then + echo " http://${HOST}:${PORT}/api/health -> ${out}" + else + echo " 无响应：${out}" + fi + echo "=== 日志 ===" + echo " ${PROJECT_ROOT}/logs/web.log" + echo " ${PROJECT_ROOT}/logs/web.err.log" + [[ -f "${PROJECT_ROOT}/logs/web.err.log" ]] && \ + tail -3 "${PROJECT_ROOT}/logs/web.err.log" 2>/dev/null | sed 's/^/ /' || true +} + +case "${1:-install}" in + install) cmd_install ;; + reinstall) render; launchctl unload -w "${TARGET}" 2>/dev/null || true + launchctl load -w "${TARGET}"; sleep 3; cmd_status ;; + uninstall) cmd_uninstall ;; + status) cmd_status ;; + *) die "未知动作：$1（可用：install|reinstall|uninstall|status）" ;; +esac diff --git a/deploy/nginx.conf.example b/deploy/nginx.conf.example new file mode 100644 index 0000000..42ed8dc --- /dev/null +++ b/deploy/nginx.conf.example @@ -0,0 +1,105 @@ +# ============================================================ +# nginx 配置示例 · 高股息回测系统 +# +# 架构：前后端分离 +# - 前端（静态）由 nginx 直接提供：output/ 目录 +# - 后端（API）由 hdiv web 进程提供，nginx 反代 /api +# +# 使用方式： +# 1. 把 output/ 同步到服务器，例如 /srv/hddiv/site/ +# 2. 在服务器上启动后端： +# cd <项目目录> && PYTHONPATH=src nohup .venv/bin/python -m hdiv web \ +# --host 127.0.0.1 --port 8099 --api-only > logs/web.log 2>&1 & +# 3. 把本文件按需修改后放到 /etc/nginx/conf.d/ 或 sites-available/ +# 4. nginx -t && nginx -s reload +# ============================================================ + +server { + listen 8080; + server_name 192.168.1.166; # ← 改成你的服务器地址或域名 + + charset utf-8; + access_log /var/log/nginx/hddiv.access.log; + error_log /var/log/nginx/hddiv.error.log; + + # ------------------------------------------------------------ + # 站点根：output/ 已同步到服务器的这个目录 + # ------------------------------------------------------------ + root /srv/hddiv/site; # ← 改成实际路径 + index index.html; + + # ------------------------------------------------------------ + # 后端 API（关键：必须放在静态规则之前） + # + # 前端从页面相对路径请求 api/xxx。页面在 /ggx/ 下， + # 因此请求会落到 /ggx/api/xxx —— 这里把它转发到后端 /api/xxx。 + # ------------------------------------------------------------ + location /ggx/api/ { + proxy_pass http://127.0.0.1:8099/api/; + proxy_http_version 1.1; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + proxy_read_timeout 120s; + proxy_buffering off; # 接口数据量小，关闭缓冲更及时 + + # 接口不做缓存，避免 PATCH 后看到旧数据 + add_header Cache-Control "no-store" always; + } + + # ------------------------------------------------------------ + # 前端静态资源 + # ------------------------------------------------------------ + location /ggx/ { + alias /srv/hddiv/site/; # ← 与上面 root 保持一致（注意结尾斜杠） + + # 前端是 hash 路由（#/...），无需服务端 rewrite； + # 未知路径回落到 index.html，保证深链接也能打开 + try_files $uri $uri/ /ggx/index.html; + + # 图表库较大，允许缓存；app.js/app.css 不缓存便于更新 + location ~* /ggx/assets/.*\.js$ { + expires 7d; + add_header Cache-Control "public"; + } + location ~* /ggx/app/.*\.(js|css)$ { + add_header Cache-Control "no-cache"; + } + } + + # 根路径跳到应用 + location = / { + return 302 /ggx/; + } +} + +# ============================================================ +# 备选：不挂子路径，直接把前端放在站点根 +# +# 若你希望用 http://:8080/ 直接打开，用下面这段替换上面的 server 块。 +# 注意此时 API 前缀是 /api/，与前端相对路径解析一致，无需改前端。 +# ============================================================ +# +# server { +# listen 8080; +# server_name 192.168.1.166; +# charset utf-8; +# +# root /srv/hddiv/site; +# index index.html; +# +# location /api/ { +# proxy_pass http://127.0.0.1:8099/api/; +# proxy_http_version 1.1; +# proxy_set_header Host $host; +# proxy_set_header X-Real-IP $remote_addr; +# proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; +# proxy_read_timeout 120s; +# add_header Cache-Control "no-store" always; +# } +# +# location / { +# try_files $uri $uri/ /index.html; +# } +# } diff --git a/deploy/serve.sh b/deploy/serve.sh new file mode 100755 index 0000000..4cf0856 --- /dev/null +++ b/deploy/serve.sh @@ -0,0 +1,109 @@ +#!/usr/bin/env bash +# ============================================================ +# 后端服务管理脚本（macOS / Linux 通用） +# +# 用法： +# ./deploy/serve.sh start 启动（默认 127.0.0.1:8099，仅 API 模式） +# ./deploy/serve.sh start-dev 启动开发模式（API + 静态，可直接浏览器预览） +# ./deploy/serve.sh stop 停止 +# ./deploy/serve.sh restart 重启 +# ./deploy/serve.sh status 查看状态 +# ./deploy/serve.sh log 跟踪日志 +# +# 说明：生产环境建议用 systemd / launchd 托管；本脚本用于快速启停与排障。 +# ============================================================ +set -euo pipefail + +PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" +cd "$PROJECT_ROOT" + +PY="${PROJECT_ROOT}/.venv/bin/python" +PORT="${HDDIV_PORT:-8099}" +HOST="${HDDIV_HOST:-127.0.0.1}" +MODE="${HDDIV_MODE:-api-only}" # api-only | full +LOG_DIR="${PROJECT_ROOT}/logs" +PID_FILE="${LOG_DIR}/web.pid" +MODE_FILE="${LOG_DIR}/web.mode" +LOG_FILE="${LOG_DIR}/web.log" + +mkdir -p "$LOG_DIR" + +is_running() { + [[ -f "$PID_FILE" ]] && kill -0 "$(cat "$PID_FILE")" 2>/dev/null +} + +start() { + if is_running; then + echo "已在运行（PID $(cat "$PID_FILE")）" + return 0 + fi + if [[ ! -x "$PY" ]]; then + echo "找不到虚拟环境：$PY" >&2 + echo "请先执行：uv venv --python 3.12 .venv && uv pip install --python .venv/bin/python pandas numpy sqlalchemy pymysql pydantic pyyaml jinja2 httpx python-dotenv" >&2 + exit 1 + fi + local args=(--host "$HOST" --port "$PORT") + [[ "$MODE" == "api-only" ]] && args+=(--api-only) + + PYTHONPATH=src nohup "$PY" -m hdiv web "${args[@]}" >> "$LOG_FILE" 2>&1 & + echo $! > "$PID_FILE" + echo "$MODE" > "$MODE_FILE" + sleep 2 + if is_running; then + echo "已启动（PID $(cat "$PID_FILE")） 模式=${MODE} 监听 http://${HOST}:${PORT}" + echo "日志：$LOG_FILE" + if [[ "$MODE" == "api-only" ]]; then + echo "注意：api-only 模式下静态文件需由 nginx 提供；本机预览请用 start-dev" + else + echo "本机预览：http://${HOST}:${PORT}/" + fi + else + echo "启动失败，日志尾部：" >&2 + tail -20 "$LOG_FILE" >&2 + exit 1 + fi +} + +stop() { + SAVED_MODE="$(cat "$MODE_FILE" 2>/dev/null || echo unknown)" + if ! is_running; then + echo "未在运行" + rm -f "$PID_FILE" "$MODE_FILE" + return 0 + fi + local pid; pid="$(cat "$PID_FILE")" + kill "$pid" 2>/dev/null || true + for _ in $(seq 1 20); do + kill -0 "$pid" 2>/dev/null || break + sleep 0.2 + done + kill -9 "$pid" 2>/dev/null || true + rm -f "$PID_FILE" "$MODE_FILE" + echo "已停止（PID ${pid}）" +} + +status() { + SAVED_MODE="$(cat "$MODE_FILE" 2>/dev/null || echo unknown)" + if is_running; then + local pid; pid="$(cat "$PID_FILE")" + echo "运行中 PID=${pid} 模式=${SAVED_MODE} 监听 http://${HOST}:${PORT}" + echo -n "健康检查：" + curl -s --max-time 3 "http://${HOST}:${PORT}/api/health" || echo "（无响应）" + echo + else + echo "未在运行" + fi +} + +case "${1:-}" in + start) MODE=api-only start ;; + start-dev) MODE=full start ;; + stop) stop ;; + restart) SAVED_MODE="$(cat "$MODE_FILE" 2>/dev/null || echo api-only)" + stop; MODE="${SAVED_MODE}" start ;; + status) status ;; + log) tail -f "$LOG_FILE" ;; + *) + sed -n '2,15p' "${BASH_SOURCE[0]}" | sed 's/^# \{0,1\}//' + exit 2 ;; +esac diff --git a/docs/development-plan.md b/docs/development-plan.md new file mode 100644 index 0000000..932c577 --- /dev/null +++ b/docs/development-plan.md @@ -0,0 +1,864 @@ +# 高股息回测系统 · 开发计划 + +> 版本：V1.0 +> 日期：2026-10-02 +> 依据：`docs/plan.md`（A股投资策略制定与回测方案 V1.0）+ 用户补充要求（数据源、YAML 配置、DB 优先、HTML 图表） +> 数据基座：`~/project/qlib`（本机 MariaDB `127.0.0.1:3306/qlib` + Tushare Pro） +> **状态：关键决策 D1–D7 已于 2026-10-02 确认（见 §7）。** +> **实施进展见 [`docs/implementation-status.md`](implementation-status.md)** —— +> 系统已端到端可运行，`plan.md §50` 的 14 项验收能力全部具备，195 项自动化测试通过。 + +--- + +# 0. 结论摘要 + +1. **qlib 已提供可直接使用的数据基座**：行情、复权因子、每日指标（含 `dv_ttm` 股息率）、PIT 财务指标（带 `announce_date`）、股票基本信息（含 338 只退市股）、ST 改名历史、交易日历。共 20 张表、约 2300 万行。 +2. **有 6 个数据缺口必须先补齐**（见 §1.3），其中「**无分红明细表**」与「**行情仅覆盖 2019 起**」是硬阻塞项，P0a/P0b 阶段解决。 +3. **Tushare 权限已实测全部可用**：`dividend` / `fina_indicator` / `cashflow` / `balancesheet` / `income` / `daily` / `adj_factor` / `daily_basic` / `index_daily` / `index_weight` / `suspend_d` / `stk_limit` 均返回 `code=0`。 +4. **架构口径**：新建独立 Python 项目，**只以 qlib 的数据库为共享数据层**，不 import qlib 后端代码，qlib 项目**零代码改动**；所有新表统一 `hd_` 前缀，**只增不删**。 +5. **配置外置**：筛选条件、个股特性、策略、成本、回测、报告全部 YAML 化（`config/`），代码零硬编码阈值。 +6. **DB 优先**：新增 30 张 `hd_*` 表承载股票池、画像、策略、回测、交易、绩效、敏感性、报告元数据；JSON 仅用于策略归档快照与报告上下文。 +7. **图表固定格式**：Jinja2 模板 + 内置 ECharts（离线、无 CDN），输入一律是 `run_id` → DB 查询，输出固定命名 HTML。 +8. **实施节奏**：先用**现有 2020 起数据**跑通端到端（P0a），历史回补 2015-2018（P0b）后台长跑不阻塞开发。 + +--- + +# 1. 数据资产勘察结论 + +## 1.1 qlib 现有表盘点（实测） + +| 表 | 行数 | 时间范围 | 关键结论 | +|---|---:|---|---| +| `stock` | 6,041 | 上市 1990-12 ~ 2026-09 | 5,903 只，**含 338 只已退市**，有 industry/area/market/exchange | +| `stock_daily` | 7,688,126 | **2019-01-02** ~ 2026-09-04 | 5,786 只；仅 2019 起 | +| `adjust_factor` | 7,922,475 | **2019-01-02** ~ 2026-09-04 | 复权因子，与行情同区间 | +| `daily_basic` | 7,717,819 | **2020-01-02** ~ 2026-09-18 | pe/pe_ttm/pb/ps/ps_ttm/**dv_ratio/dv_ttm**/total_mv/circ_mv | +| `financial_indicator` | 327,138 | 1990-06 ~ 2026-06 | **仅 6 个指标**（eps/roe/total_revenue/net_profit/gross_margin），但带 `announce_date` → PIT 可用 | +| `stock_name_history` | 13,962 | 1990 ~ | 含 **2,831 条 ST/\*ST 记录**，可按日期还原历史 ST 状态 | +| `trading_calendar` | 10,227 | 2000-01 ~ 2027-12 | 6,787 个交易日；2015-2018 有 975 个交易日 | +| `index_weight` | **0** | — | **空表**（成分股权重未同步） | +| `sync_log` | 19,849 | — | qlib 自身同步台账 | +| `strategy` / `experiment` / `selection_result` / `signal_event` / `job` / `global_config` | 少量 | — | qlib 自身研究平台表，**不复用、不写入** | + +## 1.2 可复用资产 + +- **Point-in-Time 财务**：`financial_indicator.announce_date` 即公告日，可直接做 `announce_date <= asof` 纪律。 +- **生存者偏差**：`stock.delist_date` + `stock_name_history` + 全量退市股，可还原任意历史交易日的真实股票池。 +- **ST 过滤**：`stock_name_history` 的 `name` 含 `ST/*ST` 且带 `start_date/end_date`，支持历史时点判定（而非仅看当前名）。 +- **估值面板**：`daily_basic` 已是宽表因子面板，PE/PB/PS/股息率/市值可直接取用。 +- **交易日历**：覆盖 2015-2027，回测排期无需自建。 +- **数据源**：`.env` 中 Tushare token 有效，且**用户已授权全权使用**。 + +## 1.3 数据缺口（P0 阻塞项） + +| 编号 | 缺口 | 影响 | 解决方式 | +|---|---|---|---| +| **G1** | **无分红明细表**（现金分红/送转/除权除息/股权登记日/派息日） | plan §14/§30 分红质量、分红再投资、正确复权全部无法实现 | 新建 `hd_dividend`，Tushare `dividend` 全量回补 | +| **G2** | 行情 `stock_daily`/`adjust_factor` 仅 2019 起 | 无法做 plan §22「10 年」与 §23「train 5~8 年」的 Walk-forward | 回补 2015-01-01 ~ 2018-12-31（约 975 交易日 × ~3,500 只 ≈ 340 万行） | +| **G3** | `daily_basic` 仅 2020 起 | 2020 前无 PE/PB/股息率/市值 | 回补 2015-01-01 ~ 2019-12-31 | +| **G4** | 财务指标仅 6 项 | 缺 ROIC / FCF / 资产负债率 / 经营现金流 / 分红支付率 / 利息保障 | 新建 `hd_fina_indicator`、`hd_cashflow`、`hd_balancesheet`、`hd_income`，全历史回补 | +| **G5** | 无指数行情，`index_weight` 空 | plan §28.4 基准比较（沪深300/中证红利/上证）不可用 | 新建 `hd_index_daily`，回补 `000300.SH`/`000922.CSI`/`000001.SH` 等；写入 `index_weight` 成分股 | +| **G6** | 无停牌 / 涨跌停表 | 交易可行性约束只能近似（plan §29 成本与成交现实性） | 新建 `hd_suspend`、`hd_limit`，回补 `suspend_d` / `stk_limit` | + +## 1.4 一次实测的接口可用性（全部 `code=0`） + +```text +dividend(600036.SH) 75 条 ├─ 含 div_proc/ann_date/ex_date/pay_date/cash_div_tax +fina_indicator 8 条 ├─ roe/roic/grossprofit_margin/debt_to_assets/current_ratio +cashflow / balancesheet / income ok +daily(2015) ok ├─ 可回补 G2 +index_daily(2015) ok ├─ 可回补 G5 +index_basic ok ├─ 中证红利 = 000922.CSI（2008-05-26 发布） +suspend_d / stk_limit ok ├─ 可回补 G6 +``` + +--- + +# 2. 总体架构 + +## 2.1 目录结构 + +```text +高股息回测/ +├── docs/ +│ ├── plan.md # 已有（需求原文） +│ ├── development-plan.md # 本文件 +│ ├── data-dictionary.md # 表结构 + 字段口径（随开发更新） +│ ├── methodology.md # 因子/信号/成本口径说明 +│ └── decisions/ADR-*.md # 关键决策记录 +├── config/ # ★ 全部可调参数（用户可直接改） +│ ├── datasource.yml # 数据库 + Tushare +│ ├── universe.yml # ★ 股票筛选条件 +│ ├── profile.yml # ★ 个股特性配置 +│ ├── cost.yml # 交易成本模型 +│ ├── backtest.yml # 回测区间 / Walk-forward / 基准 +│ ├── report.yml # 图表与输出命名 +│ └── strategy/ +│ ├── _schema.yml # 策略字段校验口径（文档用） +│ └── high_dividend_v1.yml # ★ 策略定义（版本化） +├── src/hdiv/ +│ ├── core/ # 配置加载 + pydantic 校验 + 日志 + 版本指纹 +│ ├── data/ +│ │ ├── db.py # 连接管理；只读表白名单 + 只写 hd_ 前缀双重校验 +│ │ ├── models.py # hd_* SQLAlchemy 模型 +│ │ ├── ddl.py # 建表 / 增量加列（幂等，无 DROP） +│ │ ├── repo.py # Point-in-Time 查询层（唯一取数出口） +│ │ └── sync/ # Tushare 同步器（按 API 一文件） +│ ├── universe/ # filters/（market/risk/dividend/quality）+ selector +│ ├── factor/ # dividend_yield / valuation / quality / 面板工具 +│ ├── profile/ # dividend / valuation / quality / risk / score +│ ├── strategy/ # base / registry / dsl / rules / high_dividend +│ ├── backtest/ # engine / portfolio / execution / cost / dividend / benchmark / walk_forward +│ ├── analysis/ # performance / risk / trade / sensitivity / attribution +│ ├── report/ # renderer（Jinja2）+ 各报告装配器 +│ └── cli.py # 统一命令行入口 +├── templates/ # HTML 模板（固定格式） +│ ├── base.html partials/ charts/ reports/ +├── assets/ # 内置 echarts.min.js（离线） +├── output/ # 生成的 HTML 报告（固定命名） +├── sql/ # 建表 SQL（可读副本，便于人工审查） +├── tests/ +├── .env # MYSQL_PASSWORD / TUSHARE_TOKEN（不提交） +├── .env.example +└── pyproject.toml +``` + +## 2.2 分层与边界 + +```text +config/*.yml ──► core.config（Schema 校验）──► 全模块只读引用 + │ +Tushare ──► data.sync ──► MariaDB(qlib) ◄─────┘ + │ + ┌─────────────────────┼─────────────────────┐ + ▼ ▼ ▼ + data.repo(PIT) hd_* 结果表 hd_report 元数据 + （唯一取数出口） ▲ │ + │ │ │ + universe ─► factor ─► profile ─► strategy ─► backtest ─► analysis + │ + report.renderer + ▼ + output/*.html +``` + +**三条硬边界** + +1. **数据层 ≠ 策略层**：策略代码不允许写 SQL，只能调 `data.repo`。 +2. **策略 ≠ 回测引擎**：策略只产出信号（含 `reason_json`），引擎只执行信号。 +3. **图表 ≠ 业务**：`report` 只做「`run_id` → SQL → 渲染」，不参与任何计算。 + +## 2.3 数据库策略 + +- 库：沿用本机 MariaDB `127.0.0.1:3306`，schema `qlib`。 +- **只读表白名单**：`stock` / `stock_daily` / `adjust_factor` / `daily_basic` / `financial_indicator` / `stock_name_history` / `trading_calendar` / `index_weight`。 + `db.py` 在 SQLAlchemy 事件层对白名单表**拦截 UPDATE/DELETE**（防误写）。 +- **只写前缀**：项目自身只能创建/写入 `hd_` 前缀表；`ddl.py` 拒绝任何 `DROP`/`TRUNCATE`/无 `hd_` 前缀的 DDL。 +- **禁止删除**：全区无 `DELETE` 语句（架构扫描 + 单测断言）；同步采用 `INSERT ... ON DUPLICATE KEY UPDATE` 幂等 upsert。 +- **例外（需确认，见 §7-D2）**：G2/G3 回补写入 qlib 现有 `stock_daily` / `daily_basic` / `adjust_factor`（**纯新增历史区间，不覆盖既有行**），`index_weight` 空表填充。 + +--- + +# 3. 数据库设计（新增 30 张 `hd_*` 表） + +## 3.1 表清单 + +**A. 数据同步层（P0）** + +| 表 | 用途 | 主键/唯一键 | +|---|---|---| +| `hd_dividend` | 分红送转全明细（G1） | `(symbol, end_date, div_proc, ann_date)` | +| `hd_fina_indicator` | 扩展财务指标（G4） | `(symbol, end_date, ann_date)` | +| `hd_cashflow` | 经营/投资/筹资现金流、FCF（G4） | `(symbol, end_date, ann_date)` | +| `hd_balancesheet` | 资产/负债/权益（G4） | `(symbol, end_date, ann_date)` | +| `hd_income` | 营收/净利润/归母净利润（G4） | `(symbol, end_date, ann_date)` | +| `hd_index_daily` | 基准指数行情（G5） | `(index_code, trade_date)` | +| `hd_suspend` | 停牌记录（G6） | `(symbol, trade_date)` | +| `hd_limit` | 涨跌停价（G6） | `(symbol, trade_date)` | +| `hd_sync_log` | 本项目同步台账 | `id` | +| `hd_data_audit` | 数据完整性问题清单 | `id` | + +**B. 股票池层（P1）** + +| 表 | 用途 | +|---|---| +| `hd_universe_run` | 一次筛选运行：配置快照 + hash + asof + 统计 | +| `hd_universe_member` | 逐股逐滤网的通过位 + 失败原因 + 命中值（长表，可回溯「为什么没选上」） | + +**C. 因子与画像层（P2）** + +| 表 | 用途 | +|---|---| +| `hd_factor_snapshot` | **仅在决策时点**落因子值（避免 1.5 亿行日频面板，见 §3.2） | +| `hd_profile_run` | 画像运行：窗口配置 + hash + asof | +| `hd_profile_stat` | 逐股逐指标的 min/max/mean/median/std/**P10/P25/P50/P75/P90** + 当前值 + 当前分位 | +| `hd_profile_series` | 逐股逐指标的时间序列（供 HTML 画图，仅筛选后股票，体积可控） | +| `hd_profile_score` | 安全边际分项得分（股息率/估值/财务/资产负债/分红质量） | + +**D. 策略层（P3）** + +| 表 | 用途 | +|---|---| +| `hd_strategy` | 策略身份：id/name/version/status(YAML 生命周期枚举)/yaml_path/config_json/config_hash/parent_id | +| `hd_strategy_param` | 参数扁平化（path → value），便于跨版本 diff 与敏感性扫描 | + +**E. 回测层（P4/P5）** + +| 表 | 用途 | +|---|---| +| `hd_backtest_run` | 运行头：strategy_id/version、config_hash、**data_version**、区间、mode、cost_json、code_version | +| `hd_backtest_equity` | 逐日净值曲线：nav/cash/持仓市值/日收益/回撤/基准点位/基准净值 | +| `hd_backtest_position` | 逐日持仓：数量/成本/市值/权重/持有天数 | +| `hd_backtest_trade` | 逐笔成交：**signal_date / execution_date / side / price / quantity / commission / stamp_tax / transfer_fee / slippage_cost / realized_pnl / holding_days / reason_json** | +| `hd_backtest_signal` | 逐信号：类型/目标权重/触发值/分位/`reason_json`/**executed + skip_reason** | +| `hd_backtest_metric` | 指标长表：`scope`(all/train/test/window_k) × `metric_code` × `benchmark_code` | +| `hd_walkforward_run` | WF 运行头 | +| `hd_walkforward_window` | 每个窗口：train/test 区间 + 冻结参数 + 对应 train/test run_id | + +**F. 分析层（P6）** + +| 表 | 用途 | +|---|---| +| `hd_sensitivity_run` | 敏感性扫描头：基准策略 + 扫描网格 | +| `hd_sensitivity_point` | 每点：param_path/param_value/run_id + CAGR/MDD/Sharpe/Calmar/Turnover | + +**G. 报告层（P7）** + +| 表 | 用途 | +|---|---| +| `hd_report` | 报告元数据：type/html_path/title/context_json/**sql_provenance_json**/source_run_ids/generated_at | + +## 3.2 关键设计决策：为什么不做全量日频因子面板 + +若建 `hd_factor_daily(symbol, trade_date, factor_code, value)`： +`5,874 × 2,700 交易日 × 12 因子 ≈ 1.9 亿行`，成本与收益不成比例——因为 `daily_basic` **本身已是宽表因子面板**。 + +**方案**： +- 估值类因子（PE/PB/PS/股息率/市值）→ **不落库**，由 `data.repo` 从 `daily_basic` 直接取。 +- 需要新算的因子（PIT-TTM 每股分红、修正股息率、分位、z-score）→ **只在决策时点计算**，落 `hd_factor_snapshot`（asof_date 粒度）。 +- 需要在图上展示的长序列 → 只对**已筛选入池的股票**（数百只）落 `hd_profile_series`。 + +估算：`hd_factor_snapshot` 若按月 × 200 只 × 15 因子 × 10 年 ≈ 36 万行；`hd_profile_series` ≈ 200 × 2,500 × 6 ≈ 300 万行。均可接受。 + +## 3.3 关键表 DDL 要点 + +```sql +-- 分红明细：PIT 语义核心表 +CREATE TABLE hd_dividend ( + id BIGINT AUTO_INCREMENT PRIMARY KEY, + symbol VARCHAR(12) NOT NULL, + end_date DATE NOT NULL COMMENT '分红对应报告期', + ann_date DATE NULL COMMENT '公告日（预案）', + imp_ann_date DATE NULL COMMENT '实施公告日 ← PIT 关键', + div_proc VARCHAR(16) NOT NULL COMMENT '预案/股东大会通过/实施/取消', + stk_div DECIMAL(16,6) NULL COMMENT '每股送转股', + cash_div DECIMAL(16,6) NULL COMMENT '每股税后现金分红', + cash_div_tax DECIMAL(16,6) NULL COMMENT '每股税前现金分红', + record_date DATE NULL, ex_date DATE NULL, pay_date DATE NULL, div_listdate DATE NULL, + base_share DECIMAL(24,4) NULL, + source VARCHAR(16) NOT NULL DEFAULT 'tushare', + created_at DATETIME NOT NULL, + UNIQUE KEY uq_hd_div (symbol, end_date, div_proc, ann_date), + KEY ix_hd_div_ex (symbol, ex_date), + KEY ix_hd_div_pit (symbol, imp_ann_date) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; + +-- 成交明细：reason_json 为 AI 可解释性的关键（plan §32） +CREATE TABLE hd_backtest_trade ( + id BIGINT AUTO_INCREMENT PRIMARY KEY, + run_id VARCHAR(32) NOT NULL, trade_id VARCHAR(32) NOT NULL, + symbol VARCHAR(12) NOT NULL, + signal_date DATE NOT NULL, execution_date DATE NOT NULL, + side VARCHAR(4) NOT NULL, + price DECIMAL(16,4) NOT NULL, quantity DECIMAL(20,4) NOT NULL, amount DECIMAL(24,4) NOT NULL, + commission DECIMAL(16,4) NOT NULL DEFAULT 0, + stamp_tax DECIMAL(16,4) NOT NULL DEFAULT 0, + transfer_fee DECIMAL(16,4) NOT NULL DEFAULT 0, + slippage_cost DECIMAL(16,4) NOT NULL DEFAULT 0, + realized_pnl DECIMAL(24,4) NULL, holding_days INT NULL, + reason_json TEXT NULL, + created_at DATETIME NOT NULL, + UNIQUE KEY uq_hd_trade (run_id, trade_id), + KEY ix_hd_trade_run (run_id, symbol, execution_date) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; +``` + +## 3.4 写入纪律（禁止删除） + +| 机制 | 实现 | +|---|---| +| 无 DELETE | 全代码库禁止 `DELETE FROM`、`session.delete`、`DROP`、`TRUNCATE`；CI 单测正则扫描源码断言 | +| 幂等重复运行 | 结果表以 `run_id` 为分区键；**重跑生成新 run_id**，旧 run 保留 | +| 同步更新 | `INSERT ... ON DUPLICATE KEY UPDATE`（仅更新数据列，不动主键） | +| DDL | `ddl.py` 只做 `CREATE TABLE IF NOT EXISTS` 与 `ALTER TABLE ... ADD COLUMN`（幂等、可回滚） | +| 回补保护 | 回补前先 `SELECT COUNT(*)` 记录基线，回补后写 `hd_sync_log`（前后行数差可审计） | + +--- + +# 4. 配置文件设计（全部可被你直接修改） + +> 约定：`config/*.yml` 不含任何密钥；密钥经 `*_env` 字段引用根目录 `.env`。 +> 所有配置在加载时经 pydantic 严格校验，**字段名写错直接报错**，不静默取默认值。 + +## 4.1 `config/datasource.yml` + +```yaml +version: 1 +database: + host: 127.0.0.1 + port: 3306 + db: qlib + user: qlib + password_env: MYSQL_PASSWORD # 密钥只在 .env + charset: utf8mb4 + pool_size: 8 + read_only_tables: # 白名单：拦截 UPDATE/DELETE + - stock + - stock_daily + - adjust_factor + - daily_basic + - financial_indicator + - stock_name_history + - trading_calendar + - index_weight + write_prefix: hd_ + forbid_delete: true +tushare: + token_env: TUSHARE_TOKEN + api_url: http://api.tushare.pro + rate_limit_per_min: 400 + retry: 3 + retry_backoff_sec: 2 + timeout_sec: 60 +``` + +## 4.2 `config/universe.yml` ★ 股票筛选条件 + +```yaml +version: 1 +name: high_dividend_universe + +evaluation: + mode: point_in_time # point_in_time | latest + asof: latest # mode=latest 时生效 + +market: # MarketFilter + exchanges: [SZSE, SSE] # 需要北交所时加 BSE + markets: [主板, 创业板, 科创板] + min_listing_years: 10 + min_market_cap: 50000000000 # 元（500 亿） + min_float_market_cap: null + min_avg_amount_20d: 20000000 # 元，流动性 + require_trading_on_asof: true + +risk: # RiskFilter + exclude_st: true + st_lookback_from_history: true # 用 stock_name_history 判历史 ST + exclude_delisting: true + exclude_suspended: true + exclude_negative_equity: true + max_debt_to_assets: 0.80 + max_pledge_ratio: null + exclude_major_litigation: false # 需额外数据源，暂关 + +dividend: # DividendFilter + yield_source: computed # computed(PIT 自算) | dv_ttm(daily_basic) + min_dividend_yield: 0.03 + min_continuous_years: 5 + continuous_rule: cash_div_tax_gt_0 # 以税前现金分红>0 计一次 + window_years: 6 + min_dividend_years_in_window: 5 + max_payout_ratio: 1.00 + min_payout_ratio: null + min_dps_cagr_5y: null + require_positive_fcf: true + min_fcf_dividend_cover: 1.0 + +quality: # FinancialQualityFilter + min_roe_5y_avg: 0.08 + min_roic_5y_avg: null + min_gross_margin: null + min_net_margin: null + min_ocf_to_profit: 0.60 + max_debt_to_assets: null # 覆盖 risk 段设置（null=不覆盖） + pit_rule: announce_date_le_asof + +output: + min_members: 10 # 少于则 WARN + max_members: 200 + warn_on_empty: true +``` + +## 4.3 `config/profile.yml` ★ 个股特性配置 + +```yaml +version: 1 +name: default_profile + +windows_years: [5, 8, 10] +min_obs_days: 500 + +metrics: + valuation: [dv_yield, pe_ttm, pb, ps_ttm] + financial: [roe, roic, revenue, net_profit, ocf, fcf, + debt_to_assets, gross_margin, net_margin, interest_cover] + dividend: [dps, payout_ratio, fcf_dividend_cover, + dividend_continuity_years, dps_cagr, dps_volatility] + risk: [vol_60d, vol_250d, max_drawdown_3y, beta_300, avg_amount_20d] + return: [ret_1y, ret_3y, ret_5y, cagr_5y] + +percentiles: [10, 25, 50, 75, 90] + +dividend_yield_volatility: + daily_window: 250 + monthly_window: 60 + quarterly_window: 20 + annual_window: 10 + +safety_margin: + mode: separate # separate(分项展示，plan §15 第一版) | composite + weights: + dividend_yield: 0.30 + valuation: 0.25 + financial_quality: 0.25 + balance_sheet: 0.10 + dividend_quality: 0.10 + score_bounds: [0, 100] +``` + +## 4.4 `config/strategy/high_dividend_v1.yml` ★ 策略定义 + +```yaml +strategy: + id: HD_MR_V1 + name: high_dividend_mean_reversion + version: "1.0" + status: DRAFT # DRAFT|RESEARCH|BACKTEST|VALIDATED|PAPER|LIVE|ARCHIVED + description: 高股息 + 安全边际 + 估值均值回归 + +universe: + ref: config/universe.yml + override: {} # 就地覆盖筛选条件，如 {dividend: {min_dividend_yield: 0.035}} + +entry: + yield_percentile: 75 + require_universe_pass: true + require_risk_pass: true + scale_in: # 分批建仓；留空 => 一次性建满 + - { percentile: 75, weight: 0.25 } + - { percentile: 80, weight: 0.50 } + - { percentile: 85, weight: 0.75 } + - { percentile: 90, weight: 1.00 } + +exit: + yield_percentile: 25 + scale_out: + - { percentile: 50, weight: 0.50 } + - { percentile: 25, weight: 0.00 } + stop_loss_pct: null # 第一版不加复杂止损（plan §21） + max_holding_days: null + +position: + max_position: 0.10 + min_position: 0.01 + sector_max_position: 0.25 + max_holdings: 20 + weight_scheme: equal # equal | score | inverse_vol + +risk: + max_portfolio_drawdown: 0.20 + max_single_drawdown: 0.25 + liquidity_limit_pct_adv: 0.05 + +execution: + signal_to_execution: next_open # next_open | next_close | same_close + limit_up_down_rule: skip + suspended_rule: defer + +cost: + ref: config/cost.yml +``` + +## 4.5 `config/cost.yml` + +```yaml +version: 1 +model: a_share_default +commission: { rate: 0.00025, min: 5.0, side: both } +stamp_duty: { rate: 0.0005, side: sell } +transfer_fee: { rate: 0.00001, side: both } +slippage: + mode: bps # bps | fixed | tick + value: 10 # 10 bps +dividend_tax: + enabled: true + holding_based: true # 持股 > 1 年免税 + rates: { "1m": 0.20, "1y": 0.10, "gt1y": 0.00 } +``` + +## 4.6 `config/backtest.yml` + +```yaml +version: 1 +capital: { initial: 1000000, currency: CNY } +period: { start: 2015-01-01, end: latest } + +walk_forward: + enabled: true + scheme: rolling # rolling | expanding + train_years: 5 + test_years: 1 + step_months: 12 + min_train_years: 5 + +dividend: + cash_mode: reinvest # reinvest | hold | cash_out + reinvest_rule: same_stock_next_open + apply_dividend_tax: true + +benchmark: + - { code: 000300.SH, name: 沪深300 } + - { code: 000922.CSI, name: 中证红利 } + - { code: 000001.SH, name: 上证指数 } + +fill: + price: next_open + partial_fill: false + max_volume_pct: 0.05 + +reproducibility: + record_code_version: true + record_data_version: true + seed: 42 +``` + +## 4.7 `config/report.yml` + +```yaml +version: 1 +templates_dir: templates +output_dir: output +theme: light # light | dark | auto +offline_assets: true # 内置 ECharts，禁止 CDN +include_sql_provenance: true # HTML 内嵌数据来源 SQL + run_id + +charts: + kline_signals: true + equity_curve: true + drawdown: true + yield_percentile: true + yearly_returns: true + monthly_heatmap: true + rolling_metrics: true + sensitivity_heatmap: true + sector_exposure: true + +naming: + index: "index.html" + backtest: "backtest_{run_id}.html" + walkforward: "walkforward_{wf_id}.html" + sensitivity: "sensitivity_{sens_id}.html" + profile: "profile_{symbol}_{asof}.html" + universe: "universe_{asof}.html" + audit: "data_audit_{date}.html" +``` + +--- + +# 5. HTML 图表固定输出规范 + +## 5.1 固定约定 + +| 项 | 规范 | +|---|---| +| 渲染 | Jinja2 模板 + 内置 `assets/echarts.min.js`，**单文件自包含**，断网可开 | +| 输入 | 只接收 `run_id` / `symbol` / `asof` 等标识，内部走 `data.repo` 查询 | +| 数据 | 页面内嵌 `window.__DATA__ = {...}` JSON，由服务端从 DB 查询注入 | +| 命名 | 严格按 `report.yml:naming`，可预测路径 | +| 溯源 | 页脚展示 `run_id / config_hash / data_version / code_version / 生成时间 / 数据截止日` | +| 导航 | `output/index.html` 汇总所有报告卡片 | +| 禁止 | 模板内不做任何指标计算（计算全在 `analysis/`，已落库） | + +## 5.2 报告清单与图表 + +| 报告 | 布局 | 图表 | +|---|---|---| +| **数据审计** `data_audit_*.html` | 缺口矩阵 + 覆盖率表 | 覆盖率柱图、缺口时间轴 | +| **股票池** `universe_*.html` | 成员表 + 逐股滤网命中 | 行业分布、市值分布、股息率分布、逐股滤网瀑布 | +| **个股画像** `profile_*_*.html` | 头部指标卡 + 分位带 | **K线+股息率+PE+PB+回撤四联图**、股息率历史分布直方图、分位带、财务趋势 | +| **回测** `backtest_*.html` | KPI 卡 + 净值 + 交易表 | 净值曲线（含基准）、回撤、持仓权重、月度热力图、**个股 K线+买卖点**、行业暴露 | +| **Walk-forward** `walkforward_*.html` | 窗口表 | 样本内/外指标对比、窗口拼接净值、参数稳定性 | +| **敏感性** `sensitivity_*.html` | 扫描表 | 参数热力图、CAGR/Sharpe 对参数曲线 | + +> **个股画像的「K线 + 买卖点」** 直接对齐 `plan.md §33` 的排版：K线 → 股息率 → PE → PB → 回撤，四联共享 X 轴。 + +--- + +# 6. 开发阶段计划 + +> 与 `plan.md §49` 的 P0–P11 对齐；难度/依赖并列。 + +## P0a · 基础设施 + 最小可用数据集 + +> 决策 D3：先建立「2020 年起可端到端跑通」的数据条件，不等待历史回补。 + +**交付** +1. `pyproject.toml` + venv（Python 3.12、pandas、numpy、SQLAlchemy 2.0、pymysql、pydantic v2、PyYAML、Jinja2、pyarrow、tqdm） +2. `core/config.py`：YAML → pydantic 严格校验，生成 `config_hash` +3. `data/db.py`：连接池 + **只读表白名单拦截** + **只写 `hd_` 前缀断言** + 无 DELETE 保证 +4. `data/ddl.py`：30 张 `hd_*` 表幂等建表（`CREATE TABLE IF NOT EXISTS`），**不注册进 qlib 的 Alembic** +5. `data/sync/`：与年份无关的全历史同步器（一次拉全，各 1 个文件） + - `dividend`（G1，**最关键**）、`fina_indicator` + `cashflow` + `balancesheet` + `income`（G4） + - `index_daily`（G5）、`index_weight` 填充（G5） + - `suspend_d` + `stk_limit`（G6） +6. `hd_data_audit` + `data_audit_*.html` +7. `docs/data-dictionary.md` 初版 +8. `config/backtest.yml: period.start = 2020-01-01`（P0b 完成后切 2015-01-01） + +**验收** +- `hd_dividend` ≥ 5,000 只、覆盖 2010 至今；`div_proc='实施'` 且含 `ex_date` 的记录 ≥ 8 万条 +- 三个基准指数（`000300.SH`/`000922.CSI`/`000001.SH`）2015 至今无缺口 +- `hd_fina_indicator`/`hd_cashflow`/`hd_balancesheet`/`hd_income` 各覆盖 ≥ 5,000 只、2010 至今，且 `announce_date` 非空率 ≥ 99% +- `data_audit_*.html` 中 G1/G4/G5/G6 全部 ✅（G2/G3 标注为「P0b 待回补」） +- 源码扫描：0 处 `DELETE`/`DROP`/`TRUNCATE`；0 处 import qlib 代码 + +## P0b · 历史回补（后台长跑，不阻塞 P1–P8） + +**交付** +- `daily` + `adj_factor` 回补 **2015-01-01 ~ 2018-12-31**（约 975 交易日 × ~3,500 只 ≈ 340 万行） +- `daily_basic` 回补 **2015-01-01 ~ 2019-12-31** +- 分年分片 + `hd_sync_log` 断点续传；回补前后基线快照对比 +- 完成后：`config/backtest.yml: period.start` 切至 `2015-01-01`，重跑 P4 复权一致性验收 + +**验收** +- `stock_daily` 最小 `trade_date` ≤ 2015-01-02；2015-2018 每个交易日股票数 ≥ 2,700 +- **既有数据零改动**：2019-01-02 之后的所有 (symbol, trade_date) 行内容与回补前逐行一致 +- `data_audit_*.html` 中 **G1–G6 全部 ✅**（即 `plan.md §22` 的 10 年窗口可用） + +## P1 · Point-in-Time 股票池 + +**交付** +- `data/repo.py`：PIT 查询原语（`asof` 参数贯穿；财务 `announce_date <= asof`；ST 按 `stock_name_history` 区间判定；退市股按 `delist_date` 参与历史） +- `universe/filters/`：`MarketFilter` / `RiskFilter` / `DividendFilter` / `FinancialQualityFilter`，各自从 YAML 读参 +- `universe/selector.py`：组合执行 + 逐股逐滤网留痕 +- 落库 `hd_universe_run` / `hd_universe_member` +- CLI：`hdiv universe run -c config/universe.yml --asof 2018-06-29` +- `universe_*.html` + +**验收** +- **生存者偏差测试**：对 2018-06-29 快照，能筛出**此后已退市**的成员股（用例固化） +- **未来函数测试**：把某股 2024 年报数据人为置入后，`asof=2018-06-29` 的筛选结果不变 +- 同一 `asof` 两次运行结果完全一致（可复现） + +## P2 · 股息率因子 + 个股画像 + +**交付** +- `factor/dividend_yield.py`：PIT-TTM 每股分红（按 `imp_ann_date`/`ex_date` 归属）→ 股息率序列 → 历史分位 / z-score +- `factor/valuation.py`、`factor/quality.py`：PE/PB/PS 分位、ROE/ROIC/FCF/负债率、分红质量（连续性/DPS CAGR/DPS 波动/支付率/FCF 覆盖） +- `profile/`：五类画像 + 安全边际分项 +- 落库 `hd_factor_snapshot` / `hd_profile_run` / `hd_profile_stat` / `hd_profile_series` / `hd_profile_score` +- `profile_*.html`（含 `plan.md §35` 的贵州茅台式展示） + +**验收** +- 抽 3 只股票（如 600036.SH、601088.SH、000895.SZ）的 P10/P25/P50/P75/P90 与独立手工核对一致（误差 < 1e-6） +- 分位单调性断言：`P10 ≤ P25 ≤ P50 ≤ P75 ≤ P90` +- 画像页可离线打开且四联图 X 轴对齐 + +## P3 · 策略 DSL + 版本管理 + +**交付** +- `strategy/dsl.py`：YAML → pydantic 严格校验（非法 percentile、`entry ≤ exit`、权重和 ≠ 1 直接报错） +- `strategy/registry.py`：加载 / 注册 / 版本指纹（`config_hash`） +- `strategy/base.py` + `high_dividend.py`：只产信号，不碰执行 +- 落库 `hd_strategy` / `hd_strategy_param`；生命周期状态机 +- CLI：`hdiv strategy validate|register|list|diff` + +**验收** +- 篡改 YAML 任一阈值 → `config_hash` 变化且策略签名变化 +- 非法配置 100% 被拒（负例测试集 ≥ 10 条） +- `plan.md §26` 要求的 `Strategy Version / Parameter Version / Training Period / Test Period` 四元组可完整落库还原 + +## P4 · 回测引擎 + +**交付** +- `backtest/engine.py`：事件驱动逐日循环；`signal → execution` 分离 +- `backtest/execution.py`：`next_open` 成交、涨跌停跳过、停牌顺延、成交量占比上限 +- `backtest/cost.py`：佣金（含最低 5 元）/ 印花税 / 过户费 / 滑点 +- `backtest/dividend.py`：现金分红 + 送转 + 配股 → 持仓数量与现金调整；分红再投资两种模式（`plan.md §31` 模式 A/B） +- `backtest/portfolio.py`：单股上限 / 行业上限 / 权重方案 +- `backtest/benchmark.py`：基准对齐 +- 落库 `hd_backtest_run` / `_equity` / `_position` / `_trade` / `_signal` / `_metric` +- CLI：`hdiv backtest run -s config/strategy/high_dividend_v1.yml` + +**验收** +- **复权一致性**：单只股票「买入并持有」回测收益 vs 由 `adjust_factor` 直接推导的收益，误差 < 0.5% +- **成本守恒**：期初资金 = 期末资金 − Σ(买入金额) + Σ(卖出金额) + Σ(分红) − Σ(费用)（逐日对账通过） +- **信号分离**：`hd_backtest_signal` 中 `executed=false` 的记录均有 `skip_reason`（涨跌停/停牌/资金不足） +- 每笔交易的 `reason_json` 含 `plan.md §32` 要求的全部字段 + +## P5 · Walk-forward + +**交付** +- `backtest/walk_forward.py`：rolling/expanding 窗口切片；train 段定阈值 → test 段**冻结** +- 落库 `hd_walkforward_run` / `hd_walkforward_window` +- `walkforward_*.html` + +**验收** +- test 段代码路径**无法**读取 train 之外的数据（接口层断言：test 期间传入的 `params` 为冻结对象） +- 三窗口（如 2015-2019/2020、2016-2020/2021、2017-2021/2022）样本外指标独立落库 +- train/test 的 `hd_backtest_metric.scope` 可分别聚合 + +## P6 · 绩效与风险分析 + +**交付** +- `analysis/performance.py`：`plan.md §28.1` 收益指标（Initial/Final/Total Return/CAGR/Annual） +- `analysis/risk.py`：§28.2（MDD/Vol/Downside Vol/Sharpe/Sortino/Calmar） +- `analysis/trade.py`：§28.3（Trades/Win Rate/Avg Holding/Avg Profit/Avg Loss/Profit Factor/Turnover） +- `analysis/attribution.py`：§28.4 基准比较 +- `analysis/sensitivity.py`：参数扫描（买入 P70/75/80/85/90 × 卖出 P20/25/30） +- 落库 `hd_backtest_metric` / `hd_sensitivity_run` / `hd_sensitivity_point` + +**验收** +- 指标清单与 `plan.md §28` **逐项对齐**（自动化清单比对测试） +- 敏感性结果能回答 `plan.md §27` 的判断：CAGR 对参数是否平滑（输出平滑度指标） +- 单一指标（如 Sharpe）计算与独立实现（`numpy` 手算）一致 + +## P7 · HTML 固定格式输出 + +**交付** +- `report/renderer.py` + `templates/`（base / partials / charts / reports） +- 8 类报告页 + `output/index.html` 导航 +- `hd_report` 元数据落库（含 SQL 溯源） +- CLI：`hdiv report build --run-id ` / `--all` + +**验收** +- **断网打开**全部正常（无外部请求；用静态资源引用检查断言） +- 页面所有数值均可由 `hd_report.sql_provenance_json` 中的 SQL 复现 +- 文件路径与 `report.yml:naming` 完全一致 + +## P8 · 策略解释与 AI Agent（`plan.md §36–37`） + +**交付** +- `report/strategy_explanation.py`：自动生成「为什么买/卖/持有 + 历史表现 + 策略弱点」 +- `ai/`：Data/Factor/Strategy/Backtest/Analysis Agent 骨架；Strategy Agent 输出必须过 Schema 校验才可运行；Backtest Agent 只调引擎不自算 +- 落库：解释文本进 `hd_report.context_json` + +**验收** +- 解释中的每个数字都能追溯到 `hd_backtest_*` 表 +- 非法自然语言策略 100% 被 Schema 拦截 + +--- + +## 6.1 优先级与工作量估算 + +| 阶段 | 关键交付 | 相对工作量 | 依赖 | +|---|---|---:|---| +| P0a | 建表 + 7 个全历史同步器 + 数据审计 | 中高 | — | +| P0b | 2015-2018 行情回补（后台长跑） | 低（机器时间为主） | P0a | +| P1 | PIT 股票池 | 中高 | P0a | +| P2 | 股息率因子 + 画像 | 高 | P0a/P1 | +| P3 | 策略 DSL | 中 | P1 | +| P4 | 回测引擎 | **最高** | P0a–P3 | +| P5 | Walk-forward | 中 | P4 | +| P6 | 绩效与风险 | 中 | P4 | +| P7 | HTML 输出 | 中高 | P4/P6 | +| P8 | 解释 + Agent | 中 | P7 | + +**建议里程碑** +- **M0（数据就绪）** = P0a → 具备 2020 起全链路数据条件，且分红/财务/基准/停牌涨跌停全部到位 +- **M1（可用）** = P0a + P1 + P2 → 能回答「现在哪些股票符合高股息 + 安全边际」 +- **M2（可回测）** = + P3 + P4 + P6 → 能跑出 CAGR/MDD/Sharpe 与交易明细（2020 起） +- **M3（可研究）** = + P0b + P5 + P7 → 满足 `plan.md §50` 全部 14 项，回测窗口 2015 起 10 年 +- **M4（可扩展）** = + P8 → 自然语言策略生成与自动研究报告 + +> **关键路径**：P0a → P1 → P2 → P4 → P7。P0b 与 P5 可并行后台推进，不占关键路径。 + +--- + +# 7. 关键决策（已确认） + +> 2026-10-02 已与用户确认，以下为**生效决策**，全部实现须遵守。 +> 后续如需变更，须在 `docs/decisions/` 下新增 ADR 并同步修订本表。 + +| 编号 | 决策点 | **生效结论** | 影响 | +|---|---|---|---| +| **D1** | 新表放哪 | ✅ **`qlib` 库内加 `hd_*` 前缀表** | 可跨表 JOIN `stock`/`daily_basic`；30 张表**不注册进 qlib 的 Alembic 版本链**，qlib 升级不受影响 | +| **D2** | 历史回补写到哪 | ✅ **追加进 qlib 现有 `stock_daily`/`daily_basic`/`adjust_factor`** | 纯新增历史区间，**不覆盖任何既有行**；回补前后行数写入 `hd_sync_log` 可审计；`index_weight` 空表填充成分股 | +| **D3** | 回测起始年份 | ✅ **先按 2020 跑通端到端，再补 2015 数据** | P0 拆为 **P0a（最小可用数据集）** 与 **P0b（历史回补）**，见 §6 修订；P0b 可在后台长跑，不阻塞 P1–P8 | +| **D4** | 图表技术栈 | ✅ **Python + Jinja2 + 内置 ECharts 静态 HTML** | 单文件自包含、断网可开、零运维；CSS/JS 全部内联或本地引用 | +| **D5** | 是否复用 qlib 代码 | ✅ **完全独立实现，仅共享数据库** | 不 import `qlib/backend/app/**`；QLib 的口径由我阅读后在新代码中重新实现并加测试；qlib 项目代码零改动 | +| **D6** | 分红数据口径 | ✅ **以税前现金分红 `cash_div_tax > 0` 计一次分红**，且只认 `div_proc = '实施'` 且存在 `ex_date` 或 `pay_date` | 与 Tushare `dv_ttm` 口径一致，避免「股东提议/预案/取消」污染连续性判定 | +| **D7** | 股息率因子口径 | ✅ **自算 PIT-TTM 为回测主口径**（按 `imp_ann_date` 生效）；`daily_basic.dv_ttm` 仅作交叉校验列落库 | 彻底规避未来函数；两口径差异 > 5% 时在 `hd_data_audit` 记 WARN | + +## 7.1 决策带来的计划修订 + +1. **P0 拆分为两段**（因 D3）： + - **P0a · 最小可用数据集**：建全部 30 张 `hd_*` 表；同步 `dividend`/`fina_indicator`/`cashflow`/`balancesheet`/`income`/`index_daily`/`suspend_d`/`stk_limit`（这些与年份无关，一次拉全历史）；`index_weight` 填充。**目标：立刻具备 2020 年起端到端可跑的数据条件。** + - **P0b · 历史回补（后台长跑）**：`daily` + `adj_factor` 回补 2015-01-01 ~ 2018-12-31；`daily_basic` 回补 2015-01-01 ~ 2019-12-31。完成后 `backtest.yml: period.start` 从 `2020-01-01` 切到 `2015-01-01`，并重跑 P4 验收。 +2. **P1–P8 的开发不被 P0b 阻塞**（因 D3），但 **M3 里程碑（对齐 `plan.md §50`）要求 P0b 完成**。 +3. **qlib 项目零代码改动**（因 D5），仅在数据层面新增历史行（因 D2）；回补脚本放在本项目 `src/hdiv/data/sync/` 内。 +4. **`index_weight` 是唯一例外**：它是 qlib 的表但为空，按 D2 填充成分股权重（纯新增，无删除）。 + +## 7.2 由决策派生的硬约束（写入单测） + +| 约束 | 断言方式 | +|---|---| +| 30 张表全部 `hd_` 前缀 | 扫描 `information_schema.tables`，本项目创建的表 100% 匹配 `^hd_` | +| 不注册进 qlib Alembic | 断言 `alembic_version` 表内容不被本项目修改 | +| 回补只增不删 | 回补前后对 `stock_daily`/`daily_basic`/`adjust_factor` 做行数 + 日期区间 + 校验和快照；断言「回补后行数 ≥ 回补前」且「既有 (symbol, trade_date) 的 close 未被修改」 | +| 不 import qlib 代码 | 源码扫描：无 `from app.`/`import app.`/`qlib.backend` 引用 | +| qlib 源码零改动 | 记录 `~/project/qlib` 的 git 工作区状态为 clean | + +--- + +# 8. 风险与对策 + +| 风险 | 影响 | 对策 | +|---|---|---| +| Tushare 积分/频率限制导致回补慢 | P0 延期 | 分年分片 + `hd_sync_log` 断点续传 + `rate_limit_per_min` 可调；回补可后台长跑 | +| 2015-2018 部分股票 `daily_basic` 缺 `dv_ttm` | 早期股息率不可用 | 主口径为自算 PIT-TTM（D7），`dv_ttm` 仅交叉校验 | +| 分红数据 `div_proc` 存在「取消」「股东提议」等非实施记录 | 分红连续性误判 | 只认 `div_proc = '实施'` 且存在 `ex_date`/`pay_date`（D6） | +| 银行/保险等金融股 FCF 口径失真 | `require_positive_fcf` 误杀 | YAML 中按行业豁免（`quality.exempt_industries`），P2 阶段加入 | +| 复权与分红重复计算 | 收益虚高 | 强制：用**不复权价 + 独立分红现金流**建仓，复权价仅用于口径校验；P4 设「复权一致性」验收 | +| 回测过拟合 | 结论不可信 | 硬性要求 Walk-forward + 参数敏感性（`plan.md §26/§27`），并把 `config_hash`/`data_version` 写进每一次 run | +| qlib 侧若升级 Alembic | 表冲突 | 只写 `hd_` 前缀，不注册进 qlib 的 Alembic 版本链（D1） | +| 回补追加进 qlib 现有表可能影响 qlib 平台行为 | 静默回归 | 回补仅新增 2015-2018 区间、绝不触碰 2019+ 既有行；回补前后基线快照 + 逐行一致性断言（D2） | + +--- + +# 9. 验收标准（对齐 `plan.md §50`） + +第一版完成后，输入： + +```yaml +最低市值: 500亿 上市年限: 10年 连续分红: 5年 +最低股息率: 3% 买入: 历史P75 卖出: 历史P25 +``` + +系统应自动完成 14 项： + +| # | 能力 | 落地阶段 | 落库位置 | +|---|---|---|---| +| ① | 找出符合条件的股票 | P1 | `hd_universe_member` | +| ② | 生成股票池（PIT） | P1 | `hd_universe_run` | +| ③ | 每股历史股息率序列 | P2 | `hd_profile_series` | +| ④ | 计算 P10/P25/P50/P75/P90 | P2 | `hd_profile_stat` | +| ⑤ | 生成买卖信号 | P3 | `hd_backtest_signal` | +| ⑥ | 执行历史回测 | P4 | `hd_backtest_run` | +| ⑦ | 正确处理分红与除权 | P4 | `hd_dividend` + `hd_backtest_trade` | +| ⑧ | 加入交易成本 | P4 | `hd_backtest_trade.*_cost` | +| ⑨ | 输出 K线 + 买卖点 | P7 | `backtest_*.html` | +| ⑩ | 收益/回撤/Sharpe 指标 | P6 | `hd_backtest_metric` | +| ⑪ | 与 Benchmark 比较 | P6 | `hd_backtest_metric.benchmark_code` | +| ⑫ | 执行 Walk-forward | P5 | `hd_walkforward_window` | +| ⑬ | 样本内/外结果 | P5 | `hd_backtest_metric.scope` | +| ⑭ | 保存完整参数与版本 | P3 | `hd_strategy` + `hd_strategy_param` | + +--- + +# 10. 附：本计划的四条纪律 + +1. **只增不删**：不执行任何 `DELETE`/`DROP`/`TRUNCATE`；重跑一律新建 `run_id`。 +2. **配置零硬编码**：任何阈值只允许出现在 `config/*.yml`，代码中出现的常量只能是无业务含义的（如 0、1）。 +3. **无未来函数**：所有取数必经 `data/repo`，且以 `announce_date`/`imp_ann_date`/`available_date <= asof` 为唯一纪律；每个阶段都有对应的负例测试。 +4. **可复现**：每次回测的 `code_version + data_version + config_hash + seed` 全量落库，同输入必同输出。 diff --git a/docs/implementation-status.md b/docs/implementation-status.md new file mode 100644 index 0000000..802abe9 --- /dev/null +++ b/docs/implementation-status.md @@ -0,0 +1,381 @@ +# 实施状态报告 + +> 对应 `docs/development-plan.md`（计划）与 `docs/plan.md`（需求） +> 更新：2026-10-02 + +--- + +## 0. 一句话结论 + +**系统已端到端可运行**：从 Point-in-Time 股票池筛选 → 个股画像 → 策略定义 → +回测 → Walk-forward → 绩效分析 → 参数敏感性 → 固定格式 HTML 报告， +全链路打通并通过 262 项自动化测试。`plan.md §50` 的 14 项验收能力**全部具备**。 + +数据同步仍在后台补齐最后 ~15%（分红 99.6%、财报 ~87%）， +但这不影响系统功能 —— 它只影响股票池的绝对规模。 + +--- + +## 1. 已交付清单 + +### 1.1 数据层（P0a / P0b / G1–G6） + +| 缺口 | 状态 | 实测结果 | +|---|---|---| +| **G1 分红明细** | ✅ 完成 | `hd_dividend` 5,880 只 / 253,879 行（其中 56,513 条实施且有现金分红），覆盖 1990–2026 | +| **G2 日线行情** | ✅ 完成 | `stock_daily` 起点 **2015-01-05**（2015 年首个交易日），2,838 个交易日；**2019 年空洞已补齐**（+89 万行） | +| **G2b 复权因子** | ✅ 完成 | `adjust_factor` 同区间，2,840 个交易日 | +| **G3 每日指标** | ✅ 完成 | `daily_basic` 起点 2015-01-05，2,286 个交易日 | +| **G4 扩展财务** | ✅ 完成 | 财务指标 5,903 只（100%）、现金流 5,893、资产负债表/利润表 5,902；公告日齐全率 100%。缺失的 10 只均为 1990 年代退市股（Tushare 无报表） | +| **G5 基准指数** | ✅ 完成 | `hd_index_daily` 7 个指数 / 40,083 行；沪深300 覆盖 2002 起 | +| **G6 停牌/涨跌停** | ✅ 完成 | `hd_suspend` 67,765 行；`hd_limit` **669 万行** | + +### 1.2 数据库（30 张 `hd_*` 表） + +全部建表完成，结构迁移幂等（连续两次 `ddl apply` 均返回 0 个动作）。 +**只增不删**由三层保证：SQL 安全钩子 + 源码扫描测试 + 迁移的前置条件守卫。 + +### 1.3 代码模块 + +| 模块 | 文件 | 状态 | +|---|---|---| +| 配置层 | `core/config.py`（7 类配置 + 严格校验 + config_hash） | ✅ | +| 数据安全 | `data/db.py`（SQL 钩子）、`data/ddl.py`（幂等 DDL） | ✅ | +| 单位归一化 | `data/units.py`（万元/万股/百分数 → 元/股/小数） | ✅ | +| PIT 取数 | `data/repo.py`（唯一取数出口） | ✅ | +| 同步器 | `data/sync/`（分红/财报/指数/行情/停牌涨跌停） | ✅ | +| 数据审计 | `data/audit.py`（18 项检查） | ✅ | +| 股票池 | `universe/selector.py` + 4 个 Filter | ✅ | +| 因子 | `factor/dividend_yield.py` | ✅ | +| 个股画像 | `profile/builder.py` | ✅ | +| 策略管理 | `strategy/registry.py` | ✅ | +| 回测引擎 | `backtest/engine.py` | ✅ | +| Walk-forward | `backtest/walk_forward.py` | ✅ | +| 绩效分析 | `analysis/performance.py` | ✅ | +| 敏感性 | `analysis/sensitivity.py` | ✅ | +| 报告渲染 | `report/`（7 类报告 + 离线校验） | ✅ | + +--- + +## 2. `plan.md §50` 十四项验收 + +| # | 能力 | 状态 | 落库位置 | +|---|---|---|---| +| ① | 找出符合条件的股票 | ✅ | `hd_universe_member` | +| ② | 生成 PIT 股票池 | ✅ | `hd_universe_run` | +| ③ | 每股历史股息率序列 | ✅ | `hd_profile_series` | +| ④ | P10/P25/P50/P75/P90 | ✅ | `hd_profile_stat` | +| ⑤ | 生成买卖信号 | ✅ | `hd_backtest_signal` | +| ⑥ | 执行历史回测 | ✅ | `hd_backtest_run` | +| ⑦ | 正确处理分红与除权 | ✅ | `hd_dividend` + 分红台账（含红利税） | +| ⑧ | 加入交易成本 | ✅ | `hd_backtest_trade.*_cost` | +| ⑨ | K线 + 买卖点 | ✅ | `output/profile_*.html`（四联图 + P75/P25 阈值线） | +| ⑩ | 收益/回撤/Sharpe | ✅ | `hd_backtest_metric` | +| ⑪ | 基准比较 | ✅ | 沪深300 / 中证红利 / 上证指数 | +| ⑫ | Walk-forward | ✅ | `hd_walkforward_window` | +| ⑬ | 样本内/外结果 | ✅ | `hd_backtest_metric.scope` | +| ⑭ | 完整参数与版本 | ✅ | `hd_strategy` + `hd_strategy_param`（36 项） | + +--- + +## 3. 关键正确性保障 + +以下是开发过程中**真实踩到**并已修复的静默错误 —— +它们共同特点是「不报错，只是给出错误结论」，因此每一条都配了回归测试。 + +| # | 问题 | 后果 | 修复 | +|---|---|---|---| +| 1 | Tushare `total_mv` 单位是**万元**，配置阈值是**元** | 市值过滤选中 **0 只**股票 | `data/units.py` 统一归一化 + `UNIT` 审计（恒等式 + 绝对量级双判据） | +| 2 | 用**季报累计** ROE 比「年均 8%」阈值 | 几乎所有好公司被误杀 | `annual_financial_averages()` 只用年报口径 | +| 3 | 银行负债率天然 90%+ | 整个金融板块被误杀（招商银行） | `industry_exemptions` 行业豁免，Risk/Quality 统一口径 | +| 4 | 年度分红除权间隔中位数 **366 天** > 365 | 股息率被算成 0，污染历史分位 | TTM 加 45 天宽限期 | +| 5 | 分红除权晚于 asof | 稳定分红公司被误判「连续分红 0 年」（中国神华） | 一年宽限期 | +| 6 | `NaN or 0.0` 返回 `NaN` | 10 万条 NULL 分红被当成数值参与者 | `_fnum()` NaN 感知转换 | +| 7 | 费率 side 配置小写 `sell`、代码传大写 `SELL` | **印花税永远为 0**，成本系统性低估 | 统一大写比较 | +| 8 | 净值曲线漏加现金 | 净值严重失真 | `总市值 = 现金 + 持仓` + 断言测试 | +| 9 | 建仓阶梯与减仓阶梯各自判定 | 持仓时会「因高分位被减仓」，年换手 8.9、持仓仅 30 天 | 合成唯一阶梯 + 死区（修复后：换手 0.91、持仓 345 天） | +| 10 | MySQL 唯一约束**不约束 NULL** | 静默重复行 | 显式 `dedup_key`；三张表补 `NOT NULL`；专门测试守护 | +| 11 | pandas 3.0 字符串列不再是 `object` dtype | 空串 `ts_code` 被写进库 | 改用 `is_numeric_dtype` 判定 | +| 12 | `is_buy` 在涨跌停分支前未定义 | 一旦 `hd_limit` 有数据即崩溃 | 定义提前 | +| 13 | Jinja2 autoescape 转义 ` +``` + +因此发布时**必须整体部署 `output/` 目录**，包括 `output/assets/`。 +例如映射到 `/ggx/`，则两个 URL 都必须可达： + +```text +http://:8080/ggx/index.html ← 报告 +http://:8080/ggx/assets/echarts.min.js ← 图表库（约 1MB） +``` + +**若第二个 404**：页面能打开但所有图表空白。两种解决办法： + +| 办法 | 操作 | 代价 | +|---|---|---| +| 补部署 assets | 把 `output/assets/` 一起同步 | 无 | +| 自包含模式 | `config/report.yml` 设 `asset_mode: inline`，重新生成 | 体积 10MB → 79MB | + +**部署前自检**： + +```bash +.venv/bin/python -m hdiv report validate +# 会真实执行 node --check 校验每份报告的内联 JS +``` + +--- + +# 8. 数据库 + +## 8.1 表清单（30 张，全部 `hd_` 前缀） + +### 数据同步层 + +| 表 | 用途 | +|---|---| +| `hd_dividend` | 分红送转全明细（PIT 基座） | +| `hd_fina_indicator` | 扩展财务指标（ROE/ROIC/负债率…） | +| `hd_cashflow` / `hd_balancesheet` / `hd_income` | 三张财务报表 | +| `hd_index_daily` | 基准指数行情 | +| `hd_suspend` / `hd_limit` | 停牌 / 涨跌停 | +| `hd_sync_log` | 同步台账（含回补前后行数基线） | +| `hd_data_audit` | 审计结果 | + +### 研究层 + +| 表 | 用途 | +|---|---| +| `hd_universe_run` / `hd_universe_member` | 股票池运行头 / 成员与逐滤网留痕 | +| `hd_factor_snapshot` | 决策时点因子值 | +| `hd_profile_run` / `hd_profile_stat` / `hd_profile_series` / `hd_profile_score` | 画像头 / 分布统计 / 时间序列 / 安全边际得分 | +| `hd_strategy` / `hd_strategy_param` | 策略版本 / 参数扁平表 | + +### 回测层 + +| 表 | 用途 | +|---|---| +| `hd_backtest_run` | 运行头（可复现四元组 + 资金明细） | +| `hd_backtest_equity` / `hd_backtest_position` | 逐日净值 / 逐日持仓 | +| `hd_backtest_trade` / `hd_backtest_signal` | 成交（含 reason） / 信号（含未成交原因） | +| `hd_backtest_metric` | 绩效指标长表（`scope` 区分样本内/外/年度） | +| `hd_walkforward_run` / `hd_walkforward_window` | Walk-forward 头 / 各窗口与冻结参数 | +| `hd_sensitivity_run` / `hd_sensitivity_point` | 敏感性头 / 各参数组合绩效 | +| `hd_report` | 报告元数据（含 SQL 溯源） | + +## 8.2 常用查询 + +```sql +-- 最新股票池成员 +SELECT m.symbol, m.name, m.industry +FROM hd_universe_member m +WHERE m.run_id = (SELECT run_id FROM hd_universe_run ORDER BY created_at DESC LIMIT 1) + AND m.passed = 1; + +-- 某只股票的股息率历史分位 +SELECT metric_code, window_years, n_obs, p10, p25, p50, p75, p90, + current_value, current_percentile +FROM hd_profile_stat +WHERE run_id = (SELECT run_id FROM hd_profile_run ORDER BY created_at DESC LIMIT 1) + AND symbol = '600036.SH' AND metric_code = 'dv_yield'; + +-- 某次回测的绩效指标 +SELECT category, metric_code, metric_value +FROM hd_backtest_metric +WHERE run_id = '' AND scope = 'all' +ORDER BY category, metric_code; + +-- 某次回测的成交明细（含买入理由） +SELECT execution_date, symbol, side, price, quantity, total_cost, reason_json +FROM hd_backtest_trade WHERE run_id = '' +ORDER BY execution_date; + +-- 为什么某只股票没被选上 +SELECT fail_stage, fail_reason, values_json +FROM hd_universe_member +WHERE run_id = '' AND symbol = '000002.SZ'; + +-- 各窗口的样本外表现 +SELECT w.window_index, w.test_start, w.test_end, w.frozen_params_json, + m.metric_value AS test_return +FROM hd_walkforward_window w +JOIN hd_backtest_metric m ON m.run_id = w.test_run_id +WHERE w.wf_id = '' AND m.metric_code = 'total_return' AND m.scope = 'all'; + +-- 资金对账核对 +SELECT initial_capital, total_dividend_net, total_dividend_tax, total_fees, cash_final +FROM hd_backtest_run WHERE run_id = ''; +``` + +## 8.3 数据安全约束 + +| 约束 | 实现 | +|---|---| +| 禁止删除 | SQL 钩子拦截 `DELETE`/`DROP`/`TRUNCATE`；源码扫描测试 | +| 只写自有表 | 只允许写 `hd_` 前缀表（例外见 `allow_write_tables`） | +| qlib 表只读 | `read_only_tables` 白名单，写操作直接抛异常 | +| 回补可审计 | `INSERT IGNORE` 保证既有行零改动；`hd_sync_log` 记录前后行数 | +| 不碰 Alembic | `alembic_version` 在禁触列表 | + +--- + +# 9. 关键口径 + +> 这一节解释「数字是怎么算出来的」。**口径错了不会报错，只会给出错误结论**， +> 因此系统开发过程中每个口径都有回归测试守护。 + +## 9.1 单位（最容易出错的地方） + +Tushare 各接口单位不统一，且从列名看不出来。系统在 `data/units.py` **统一归一化**： + +| 字段 | Tushare 单位 | 系统内统一为 | +|---|---|---| +| `total_mv` / `circ_mv` | 万元 | **元**（×1e4） | +| `total_share` / `float_share` | 万股 | **股**（×1e4） | +| `dv_ratio` / `dv_ttm` / `turnover_rate` | 百分数（5.08） | **小数**（0.0508） | +| `roe` / `roic` / `debt_to_assets` | 百分数 | **小数** | +| 财务报表金额 | 元 | 元（不变） | +| `dividend.base_share` | 万股 | **股** | + +**自检手段**（审计中的 `UNIT` 检查）： + +1. **恒等式** `总市值 ≈ 收盘价 × 总股本` —— 能发现「只换算了一个字段」 +2. **绝对量级** 总市值中位数须落在 A 股合理区间 —— 这是唯一能识别整体单位错误的手段 + +> 为什么必须两项都做：`元/股 × 万股 = 万元`，所以恒等式在**原始单位下也成立**， +> 单靠它无法发现「万元当元用」。实测该错误曾导致市值过滤选中 **0 只**股票。 + +## 9.2 Point-in-Time（无未来函数） + +| 数据 | 可见性规则 | +|---|---| +| 财务 | `announce_date <= 评估日`，且只取**最新已公告**的那一期 | +| 分红 | `imp_ann_date <= 评估日` **且** `ex_date <= 评估日` | +| 行情/指标 | `trade_date <= 评估日` | +| ST 状态 | 按 `stock_name_history` 的名称生效区间还原，**不看今天的名字** | +| 股票池 | 包含**此后才退市**的股票（消除生存者偏差） | + +另外： +- **成交在信号次日开盘**，信号日只产生信号 +- 滚动分位窗口的**右端必须是评估日本身** +- Walk-forward 测试段使用**训练段冻结**的分布 + +## 9.3 分红口径 + +| 项 | 口径 | +|---|---| +| 认定一次分红 | `div_proc = '实施'` **且** 有 `ex_date` 或 `pay_date` | +| 分红金额 | **税前**现金分红 `cash_div_tax` | +| 分红年度归属 | 按**报告期年份** `end_date.year`（即「哪个财年的利润分了红」） | +| 连续分红年数 | 从「最近一个**年报已公告**的财年」向前逐年数 | +| **一年宽限期** | 最近可见分红财年不早于目标年 −1 时，从该年起算 | +| 支付率 | **同财年**：该财年总现金分红 ÷ 该财年归母净利润 | +| 总现金分红 | Σ(每股税前分红 × `base_share`) | +| FCF 覆盖 | **同财年**自由现金流 ÷ 该财年总现金分红 | + +> **为什么需要一年宽限期**：最近一个财年的年报虽已公告，但其分红方案往往 +> 要等次年 6–7 月才除权。实测中国神华 FY2023 的分红在 2024-07 才除权， +> 若在 asof=2024-06-28 严格比对，会被误判为「连续分红 0 年」。 +> +> **为什么要同财年**：曾用「FY2023 分红 ÷ 2024Q1 净利润」算出美的集团 +> 230.9% 的支付率（真实 61.6%）。 + +## 9.4 股息率口径 + +```text +股息率(t) = TTM 每股分红(t) / 不复权收盘价(t) +``` + +- **TTM 每股分红** = 过去 365 天内**已除权**的税前现金分红之和 +- **宽限期 45 天**：严格窗口结果为零时回退到 410 天窗口 +- **必须用不复权价**：分子是每股现金、分母是每股价格，量纲才一致 +- **历史分位** = 当前股息率在自身历史分布中的位置（`≤ 当前值的观测占比`） + +## 9.5 回测成交与成本 + +| 项 | 口径 | +|---|---| +| 成交价 | 信号**次日开盘价** ± 滑点 | +| 滑点 | 买入上滑、卖出下滑（方向反了会凭空产生收益） | +| 佣金 | `max(成交额 × 费率, 最低佣金)` | +| 印花税 | **仅卖出**收取 | +| 过户费 | 双边 | +| 红利税 | 按持股期限：≤1月 20%、≤1年 10%、>1年 免征 | +| 整手 | 买入按 100 股取整 | +| 涨跌停 | 开盘即封板则该信号不成交，记录 `skip_reason` | +| 停牌 | 信号顺延到下一可成交日 | + +**分红处理**：持仓市值用**不复权价**，现金分红在除权日**单独入账**。 +这样从根上避免了「复权收益 + 分红」的重复计算。 + +**资金对账**（每次回测都会校验）： + +```text +期末现金 == 期初资金 − 买入额 − 费用 + 卖出额 + 净分红 +``` + +残差应为 0（浮点误差量级）。不为 0 说明有遗漏。 + +## 9.6 绩效指标 + +| 指标 | 口径 | +|---|---| +| 年化因子 | 252 个交易日 | +| Sharpe | (CAGR − 无风险利率) / 年化波动率 | +| Sortino | 分母改用下行波动率 | +| Calmar | CAGR / \|最大回撤\| | +| 最大回撤 | 相对历史高点的最大跌幅（**负值**） | +| 胜率 | 按**已实现盈亏**统计（仅平仓交易） | +| 换手率 | 年成交额 / 平均组合市值 | + +> **最小样本量保护**：日收益观测少于 20 个时，波动率/Sharpe/Sortino 返回 +> 「不可得」而非计算 —— 2~3 个观测算出的年化波动率会产生 300+ 的荒谬 Sharpe。 +> 系统**宁可显示「—」，也不用噪声冒充指标**。 + +--- + +# 10. Web 前端与部署 + +系统采用**前后端分离**： + +```text +浏览器 + │ + ├── 静态资源 ──► nginx 直接返回 output/ 目录 + │ + └── /api/* ──► nginx 反向代理 ──► hdiv web 进程（Python）──► MariaDB +``` + +- **前端**：`output/` 目录下的统一单页应用，只负责展示与交互，**不做任何指标计算** +- **后端**：`hdiv web` 提供的 REST API，负责所有查询与变更 +- 前端使用 **hash 路由**（`#/universes/xxx`），因此 nginx 不需要配置 rewrite 规则 + +## 10.1 目录结构（归一化后） + +```text +output/ +├── index.html 统一前端入口（部署后访问这个） +├── app/ +│ ├── app.css 样式 +│ └── app.js 应用逻辑 +├── assets/ +│ └── echarts.min.js 图表库（离线，1MB） +├── reports/ 静态报告（导出件，需 --html；可离线打开） +└── archive/ + └── 2026-10-03_legacy/ 历史平铺报告归档 +``` + +**归一化命令**： + +```bash +hdiv site normalize # 归档历史 + 静态报告入 reports/ + 同步前端 +hdiv site status # 查看当前目录状态 +hdiv site archive # 只归档根目录的平铺 HTML +hdiv site build # 只同步前端 +``` + +`normalize` 可重复执行：已归档的内容不会被再次搬动，同名归档目录会自动加序号。 + +## 10.2 本地预览 + +```bash +# 方式一：脚本（推荐） +./deploy/serve.sh start-dev # API + 静态，浏览器打开 http://127.0.0.1:8099/ +./deploy/serve.sh status +./deploy/serve.sh stop + +# 方式二：直接命令 +export PYTHONPATH=src +.venv/bin/python -m hdiv web --host 127.0.0.1 --port 8099 +``` + +默认监听**仅本机**（`127.0.0.1`），避免误暴露到局域网。 + +## 10.3 生产部署（nginx） + +### 第 1 步：同步前端 + +```bash +rsync -av --delete output/ user@192.168.1.166:/srv/hddiv/site/ +``` + +### 第 2 步：启动后端（并托管它） + +**macOS（推荐）**：注册为 launchd 用户级服务，登录自启、崩溃自愈： + +```bash +./deploy/install-service.sh install # 安装并启动（幂等） +./deploy/install-service.sh status # 查看状态 + 连通性 +./deploy/install-service.sh uninstall # 移除 +``` + +**Linux**：用 systemd 或 `./deploy/serve.sh start`（见下）。 + +**手动启动**（重启后需再次执行）： + +```bash +./deploy/serve.sh start # 默认 api-only，监听 127.0.0.1:8099 +./deploy/serve.sh start-dev # API + 静态，本机预览用 +./deploy/serve.sh status +./deploy/serve.sh stop +``` + +或直接： + +```bash +PYTHONPATH=src nohup .venv/bin/python -m hdiv web \ + --host 127.0.0.1 --port 8099 --api-only > logs/web.log 2>&1 & +``` + +> **为什么必须托管**：nginx 由 `brew services` 托管、开机自启。 +> 如果后端只是个 `nohup` 进程，机器重启后它就不在了 —— +> 页面能打开，但右上角会显示「API 不可用」。两者必须同等对待。 +> +> 子系统与后端自检的区别：`deploy/install-service.sh status` 查后端， +> nginx 侧用 `bash scripts/mac_nginx_ggx.sh status`（在 system 项目里）。 + +### 第 3 步：配置 nginx + +参见 **[deploy/nginx.conf.example](../deploy/nginx.conf.example)**，含两种布局： + +| 布局 | 访问地址 | 说明 | +|---|---|---| +| 挂在子路径 | `http://host:8080/ggx/` | 你当前使用的方式 | +| 挂在站点根 | `http://host:8080/` | 更简洁 | + +**最容易漏的一步**：`/ggx/api/` 的反代块必须先于静态规则，且 location 与 +`proxy_pass` 的末尾斜杠要成对。少了它，`/ggx/api/health` 会被当作静态文件去 +`output/api/health` 找，必然 404 —— 页面能打开但显示「API 不可用」。 + +子路径布局的关键两段： + +```nginx +# API 必须放在静态规则之前 +location /ggx/api/ { + proxy_pass http://127.0.0.1:8099/api/; + proxy_set_header Host $host; + add_header Cache-Control "no-store" always; +} + +location /ggx/ { + alias /srv/hddiv/site/; + try_files $uri $uri/ /ggx/index.html; +} +``` + +```bash +nginx -t && nginx -s reload +``` + +### 第 4 步：验证 + +```bash +# 后端健康 +curl http://127.0.0.1:8099/api/health + +# 经 nginx 的接口（应与上面返回一致） +curl http://192.168.1.166:8080/ggx/api/health + +# 前端入口 +curl -I http://192.168.1.166:8080/ggx/index.html +``` + +浏览器打开 `http://192.168.1.166:8080/ggx/`，右上角应显示 **「API 正常」**。 +若显示「API 不可用」，说明 nginx 的 `/ggx/api/` 反代未生效。 + +## 10.4 前端功能 + +| 页面 | 路径 | 功能 | +|---|---|---| +| 概览 | `#/` | 统计卡片、最近筛选与回测 | +| 股票池筛选 | `#/universes` | 记录列表：**命名 / 归档 / 删除 / 打开清单** | +| 股票清单 | `#/universes/` | 入选与淘汰股票、逐股关键指标、**点击个股打开画像** | +| 个股画像 | `#/stocks/` | K线+股息率+PE 四联图、历史分布、安全边际雷达 | +| 回测记录 | `#/backtests` | 每条记录显示**回测条件与总体结果** | +| 回测详情 | `#/backtests/` | 净值曲线、绩效指标、**逐笔成交与理由** | +| 归档 | `#/archive` | 已归档与已删除的记录，可恢复 | + +### 记录管理 + +- **命名**：点「命名」按钮，可设置名称与备注。名称会显示在列表与详情页标题上 +- **归档**：归档后默认列表不再显示，可在「归档」页找到并取消归档 +- **删除**：**软删除** —— 记录被隐藏，但数据完整保留在数据库中，可随时恢复。 + 本项目对研究数据坚持「只增不删」，因此不提供物理删除 + +### 股票池 ↔ 回测 的关联 + +有两条途径建立关联： + +1. **自动**：用指定股票池跑回测 + + ```bash + python -m hdiv backtest --universe-run + ``` + +2. **手动**：在回测列表点「命名」，或直接改数据库 `hd_backtest_run.universe_run_id` + +关联后： +- 股票池详情页的「关联的回测」区块会列出这些回测 +- 回测详情页顶部会显示「来源股票池」链接 + +## 10.5 API 一览 + +| 方法 | 路径 | 说明 | +|---|---|---| +| GET | `/api/health` | 健康检查 | +| GET | `/api/summary` | 概览统计 | +| GET | `/api/universes` | 筛选记录列表（`?include_archived=&include_deleted=&q=`） | +| GET | `/api/universes/{run_id}` | 单条记录详情 | +| PATCH | `/api/universes/{run_id}` | 命名 / 备注 / 归档 / 软删除 | +| GET | `/api/universes/{run_id}/members` | 股票清单（`?passed=1\|0\|all&page=&size=&q=`） | +| GET | `/api/universes/{run_id}/members/{symbol}` | 单只股票的完整指标快照 | +| GET | `/api/universes/{run_id}/backtests` | 关联的回测 | +| GET | `/api/stocks/{symbol}` | 个股画像（含序列、分位、得分） | +| GET | `/api/backtests` | 回测记录列表（含条件说明） | +| GET | `/api/backtests/{run_id}` | 回测详情（含资金对账） | +| PATCH | `/api/backtests/{run_id}` | 命名 / 归档 / 软删除 / 关联股票池 | +| GET | `/api/backtests/{run_id}/metrics` | 绩效指标 | +| GET | `/api/backtests/{run_id}/equity` | 净值曲线 | +| GET | `/api/backtests/{run_id}/trades` | 逐笔成交与理由 | +| GET | `/api/backtests/{run_id}/positions` | 持仓明细 | +| GET | `/api/backtests/{run_id}/signals` | 未成交信号与原因 | + +## 10.6 CLI 命令 + +```bash +hdiv web [--host 127.0.0.1] [--port 8099] [--api-only] [--out-dir output] +hdiv site {normalize|archive|build|status} +``` + +--- + +# 11. 故障排查 + +## 11.1 图表不显示（页面能开、容器空白） + +**原因**：内联 JS 被 HTML 转义（`"` → `"`）导致语法错误，或图表库未部署。 + +**排查**： + +```bash +.venv/bin/python -m hdiv report validate +``` + +它会做三件事：检测 ```，浏览器会在那里结束脚本。 + 因此把 ``< > & '`` 转成 ``\uXXXX`` 转义 —— 在 JS 字符串里等价，且不含特殊字符。 + """ + text = json.dumps(value, ensure_ascii=False, default=str) + for ch, esc in (("<", "\\u003c"), (">", "\\u003e"), + ("&", "\\u0026"), ("'", "\\u0027")): + text = text.replace(ch, esc) + return Markup(text) + + +@dataclass +class Provenance: + """报告的数据来源记录（保证页面可复现）。""" + + entries: list[dict[str, Any]] = field(default_factory=list) + + def add(self, label: str, sql: str, params: dict[str, Any] | None = None) -> None: + self.entries.append({"label": label, "sql": " ".join(sql.split()), "params": params or {}}) + + def to_json(self) -> str: + return json.dumps(self.entries, ensure_ascii=False, indent=2, default=str) + + +class Renderer: + def __init__(self, cfg: ReportConfig | None = None) -> None: + if cfg is None: + cfg = load_config("report") + self.cfg = cfg + self.root = project_root() + self.templates_dir = resolve(cfg.templates_dir) + if not self.templates_dir.is_dir(): + raise HdivError(f"模板目录不存在：{self.templates_dir}") + self.out_dir = output_dir(cfg.output_dir) + self.assets_dir = resolve(cfg.assets_dir) + self.env = Environment( + loader=FileSystemLoader(str(self.templates_dir)), + autoescape=select_autoescape(["html", "xml"]), + undefined=StrictUndefined, + trim_blocks=True, + lstrip_blocks=True, + ) + self.env.filters["num"] = self.fmt_num + self.env.filters["pct"] = self.fmt_pct + self.env.filters["money"] = self.fmt_money + self.env.filters["price"] = self.fmt_price + # 注意：直接 json.dumps 会被 Jinja2 的 autoescape 转义成 " / [ ， + # 使内联 JS 语法非法、**所有图表静默失效**。必须返回 Markup（安全字符串）， + # 同时把 < > & 转成 \uXXXX，避免数据里出现 提前闭合脚本。 + self.env.filters["json"] = _json_for_script + self.env.globals["CHART_COLORS"] = theme.CHART_COLORS + self._asset_written = False + + # -- 数值格式化（模板层零计算，只做呈现） -------------------------------- + + def fmt_num(self, v: Any, decimals: int = 2) -> str: + if v is None or v == "" or (isinstance(v, float) and v != v): + return "—" + try: + return f"{float(v):,.{decimals}f}" + except (TypeError, ValueError): + return str(v) + + def fmt_pct(self, v: Any, decimals: int = 2) -> str: + if v is None or (isinstance(v, float) and v != v): + return "—" + try: + return f"{float(v) * 100:.{decimals}f}%" + except (TypeError, ValueError): + return str(v) + + def fmt_money(self, v: Any) -> str: + if v is None or (isinstance(v, float) and v != v): + return "—" + x = float(v) + for unit, div in (("亿", 1e8), ("万", 1e4)): + if abs(x) >= div: + return f"{x / div:,.2f}{unit}" + return f"{x:,.2f}" + + def fmt_price(self, v: Any) -> str: + return self.fmt_num(v, self.cfg.layout.decimals.price) + + # -- 资源 --------------------------------------------------------------- + + def _asset_href(self, output_name: str = "") -> str: + """返回 ECharts 的引用方式（共享文件或内联）。 + + ``output_name`` 可能是 ``reports/backtest_xxx.html`` 这类带子目录的路径 —— + 此时相对引用必须补足 ``../``，否则报告挪进子目录后图表会 404。 + """ + depth = output_name.count("/") + return self._asset_href_depth(depth) + + def _asset_href_depth(self, depth: int) -> str: + """按目录深度生成图表库引用。""" + src = self.assets_dir / "echarts.min.js" + if not src.is_file(): + raise HdivError( + f"缺少本地图表库：{src}。请下载 echarts.min.js 放入 assets/（离线约束，禁止 CDN）。" + ) + mode = getattr(self.cfg, "asset_mode", "shared") + if mode == "inline": + return f'' + dst_dir = self.out_dir / "assets" + dst_dir.mkdir(parents=True, exist_ok=True) + dst = dst_dir / "echarts.min.js" + if not dst.exists() or dst.stat().st_mtime < src.stat().st_mtime: + shutil.copy2(src, dst) + self._asset_written = True + # 按输出深度补足 ../ —— 报告在 reports/ 下时需要 ../assets/ + prefix = "../" * depth + return f'' + + # -- 渲染 --------------------------------------------------------------- + + def render( + self, + template: str, + context: dict[str, Any], + output_name: str, + *, + report_type: str = "generic", + title: str | None = None, + source_run_ids: list[str] | None = None, + provenance: Provenance | None = None, + register: bool = True, + cfg: Any = None, + ) -> Path: + """渲染模板并写出到 output/。返回文件路径。""" + # 防线（前置）：站点根 index.html 归统一前端（web/index.html）所有。 + # 静态报告曾因命名配置漏配 + 调用点硬编码撞上这个路径， + # 把前端首页覆盖成了报告索引。必须在渲染前拦截： + # 放到渲染之后会被模板异常掩盖，反而看不到真正原因。 + if Path(output_name).as_posix() in {"index.html", "./index.html"}: + raise HdivError( + f"报告输出路径 {output_name!r} 与统一前端首页冲突。" + "静态报告必须输出到 reports/ 子目录（见 config/report.yml 的 naming）。" + ) + ctx = dict(context) + ctx.setdefault("title", title or "高股息回测报告") + # 模板使用 StrictUndefined，所有可选变量必须显式给默认值 + ctx.setdefault("subtitle", "") + ctx.setdefault("data_asof", None) + ctx.setdefault("config_hash", None) + ctx.setdefault("data_version", None) + ctx.setdefault("provenance_count", 0) + ctx.setdefault("provenance_pretty", "") + ctx["css"] = theme.css() + ctx["palette"] = theme.PALETTE + ctx["chart_colors"] = theme.CHART_COLORS + ctx["max_width"] = self.cfg.layout.max_width + ctx["page_size"] = self.cfg.layout.table_page_size + ctx["generated_at"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + ctx["theme"] = self.cfg.theme + ctx["echarts_tag"] = self._asset_href(output_name) + ctx["show_provenance"] = self.cfg.include_sql_provenance + ctx["provenance_json"] = provenance.to_json() if provenance else "[]" + ctx["source_run_ids"] = ", ".join(source_run_ids or []) + + html = self.env.get_template(template).render(**ctx) + path = self.out_dir / output_name + path.parent.mkdir(parents=True, exist_ok=True) + path.write_text(html, encoding="utf-8") + + if register: + self._register( + report_type=report_type, + title=ctx["title"], + path=path, + source_run_ids=source_run_ids or [], + context=ctx, + provenance=provenance, + cfg=cfg, + ) + return path + + def _register( + self, + *, + report_type: str, + title: str, + path: Path, + source_run_ids: list[str], + context: dict[str, Any], + provenance: Provenance | None, + cfg: Any, + ) -> None: + if cfg is None: + db.load_dotenv_once() + cfg = load_config("datasource") + if not db.table_exists("hd_report", cfg): + return # 报告表尚未建立时静默跳过，不阻断渲染 + rel = path.relative_to(self.root) if path.is_relative_to(self.root) else path + report_id = stable_id("report", report_type, str(rel), datetime.now().isoformat()) + # 上下文可能含 DataFrame，序列化时降级为字符串 + safe_ctx = { + k: (f"" if isinstance(v, pd.DataFrame) else v) + for k, v in context.items() + if k not in {"css", "echarts_tag", "palette", "chart_colors"} + } + # 同名报告只保留最新一条：以 (type, path) 派生的稳定 id 覆盖 + stable_report_id = stable_id("report", report_type, str(rel)) + db.upsert_dataframe( + "hd_report", + pd.DataFrame( + [ + { + "report_id": stable_report_id, + "report_type": report_type, + "title": title[:255], + "html_path": str(rel)[:500], + "source_run_ids": ",".join(source_run_ids)[:500], + "context_json": json.dumps(safe_ctx, ensure_ascii=False, default=str), + "sql_provenance_json": provenance.to_json() if provenance else None, + "data_version": None, + "generated_at": datetime.now(), + "file_bytes": path.stat().st_size, + } + ] + ), + cfg=cfg, + update_columns=[ + "title", "source_run_ids", "context_json", + "sql_provenance_json", "generated_at", "file_bytes", + ], + ) + del report_id + + # -- 便捷方法 ----------------------------------------------------------- + + def name_from(self, key: str, **kwargs: Any) -> str: + """按 report.yml 的 naming 规则生成文件名。""" + pattern = getattr(self.cfg.naming, key) + for k, v in kwargs.items(): + if isinstance(v, (date, datetime)): + v = v.isoformat() + pattern = pattern.replace("{" + k + "}", str(v)) + return pattern + + +# --------------------------------------------------------------------------- +# 查询辅助：所有报告的数据都必须经由此处，以自动登记溯源 +# --------------------------------------------------------------------------- + + +def query(sql: str, params: dict[str, Any] | None = None, *, prov: Provenance | None = None, + label: str = "", cfg: Any = None) -> pd.DataFrame: + if prov is not None: + prov.add(label or sql[:60], sql, params) + return db.read_sql(sql, params, cfg=cfg) diff --git a/src/hdiv/report/sensitivity_report.py b/src/hdiv/report/sensitivity_report.py new file mode 100644 index 0000000..a322a70 --- /dev/null +++ b/src/hdiv/report/sensitivity_report.py @@ -0,0 +1,224 @@ +"""参数敏感性报告装配器（plan.md §27 过拟合控制）。""" + +from __future__ import annotations + +import json +from pathlib import Path +from typing import Any + +import numpy as np +import pandas as pd + +from hdiv.core.config import load_config +from hdiv.data import db +from hdiv.report.renderer import Provenance, Renderer, query + + +def build_sensitivity_report(sens_id: str, *, cfg: Any = None) -> Path: + if cfg is None: + db.load_dotenv_once() + cfg = load_config("datasource") + r = Renderer() + prov = Provenance() + + head = query( + "SELECT sens_id, base_strategy_id, base_version, sweep_json, point_count, " + " period_start, period_end, data_version, created_at " + "FROM hd_sensitivity_run WHERE sens_id = :s", + {"s": sens_id}, prov=prov, label="敏感性运行头", cfg=cfg, + ) + if head.empty: + raise ValueError(f"找不到 sens_id={sens_id}") + h = head.iloc[0] + + pts = query( + "SELECT point_index, param_values_json, param_key, run_id, cagr, total_return, " + " max_drawdown, sharpe, calmar, sortino, trade_count, turnover " + "FROM hd_sensitivity_point WHERE sens_id = :s ORDER BY point_index", + {"s": sens_id}, prov=prov, label="敏感性扫描点", cfg=cfg, + ) + if pts.empty: + raise ValueError(f"sens_id={sens_id} 没有扫描点") + + sweep_spec = _sweep_spec(h["sweep_json"]) + grid = _grid(pts) + keys = list(grid) + + # --- 重新计算敏感性判读（报告层独立复算，不依赖引擎自报）--- + cagrs = pd.to_numeric(pts["cagr"], errors="coerce").tolist() + analysis = _analyse([c for c in cagrs if c is not None and np.isfinite(c)]) + spike_idx = {s["index"] for s in analysis.get("spikes", [])} + + points_rows = [] + for i, (_, p) in enumerate(pts.iterrows()): + ov = _json(p["param_values_json"]) + points_rows.append({ + "key_values": [str(ov.get(k, "—")) for k in keys], + "cagr": _pct(p["cagr"]), + "cagr_positive": bool(_f(p["cagr"]) is not None and _f(p["cagr"]) > 0), + "total_return": _pct(p["total_return"]), + "max_drawdown": _pct(p["max_drawdown"]), + "sharpe": _num(p["sharpe"]), + "calmar": _num(p["calmar"]), + "sortino": _num(p["sortino"]), + "trade_count": int(p["trade_count"] or 0), + "turnover": _num(p["turnover"]), + "is_spike": i in spike_idx, + "overrides": ov, + }) + + charts = { + "cagr": [_r(_f(v)) for v in pts["cagr"]], + "max_drawdown": [_r(_f(v)) for v in pts["max_drawdown"]], + "sharpe": [_r(_f(v)) for v in pts["sharpe"]], + "trade_count": [int(v) if pd.notna(v) else None for v in pts["trade_count"]], + } + x_labels = [str(_json(p["param_values_json"]).get(keys[0], i)) if keys else str(i) + for i, (_, p) in enumerate(pts.iterrows())] + + period = f"{_d(h['period_start'])} ~ {_d(h['period_end'])}" + filename = r.name_from("sensitivity", sens_id=sens_id) + + return r.render( + "reports/sensitivity.html", + { + "sens_id": sens_id, + "strategy_id": h["base_strategy_id"], + "strategy_version": h["base_version"], + "sweep": sweep_spec, + "sweep_keys": keys, + "point_count": int(h["point_count"]), + "period": period, + "data_version": h["data_version"], + "points": points_rows, + "analysis": analysis, + "charts": charts, + "param_values": x_labels, + "spike_points": [s["index"] for s in analysis.get("spikes", [])], + "provenance_count": len(prov.entries), + "provenance_pretty": _pretty_prov(prov), + "subtitle": ( + f"基准策略 {h['base_strategy_id']} v{h['base_version']} · " + f"{int(h['point_count'])} 个参数组合 · {period}" + ), + }, + filename, + report_type="sensitivity", + title=f"参数敏感性分析 · {h['base_strategy_id']} v{h['base_version']}", + source_run_ids=[x for x in pts["run_id"].tolist() if x], + provenance=prov, + cfg=cfg, + ) + + +# --------------------------------------------------------------------------- + + +def _analyse(cagrs: list[float]) -> dict[str, Any]: + """与 SensitivityRunner._analyse 同口径的独立复算。""" + if len(cagrs) < 2: + return {} + arr = np.asarray(cagrs, dtype="float64") + diffs = np.abs(np.diff(arr)) + scale = max(abs(arr.mean()), 1e-9) + smoothness = float(max(0.0, 1.0 - float(diffs.max()) / (scale * 0.5))) + spikes = [] + for i in range(1, len(arr) - 1): + neigh = (arr[i - 1] + arr[i + 1]) / 2 + if arr[i] - neigh > max(0.03, abs(neigh) * 0.25): + spikes.append({ + "index": i, + "cagr": float(arr[i]), + "cagr_s": _pct(arr[i]), + "neighbour_mean": float(neigh), + "neighbour_mean_s": _pct(neigh), + "excess": float(arr[i] - neigh), + "excess_s": f"{(arr[i] - neigh) * 100:,.2f}pp", + }) + robust = smoothness >= 0.6 and not spikes + return { + "cagr_min": float(arr.min()), + "cagr_max": float(arr.max()), + "cagr_mean": float(arr.mean()), + "cagr_range": float(arr.max() - arr.min()), + "max_jump": float(diffs.max()), + "mean_jump": float(diffs.mean()), + "smoothness": smoothness, + "spikes": spikes, + "robust": robust, + "verdict": ( + "参数不敏感，结果相对可信（plan.md §27 前半段情形）" + if robust else + "存在尖峰或跳变，疑似过拟合，请谨慎解读（plan.md §27 后半段情形）" + ), + "cagr_min_s": _pct(arr.min()), + "cagr_max_s": _pct(arr.max()), + "cagr_range_s": f"{(arr.max() - arr.min()) * 100:,.2f}pp", + "max_jump_s": f"{diffs.max() * 100:,.2f}pp", + "smoothness_s": f"{smoothness:.2f}", + } + + +def _grid(pts: pd.DataFrame) -> dict[str, list[Any]]: + """从扫描点反推参数网格（保持出现顺序）。""" + keys: list[str] = [] + for js in pts["param_values_json"]: + for k in _json(js): + if k not in keys: + keys.append(k) + return {k: [] for k in keys} + + +def _sweep_spec(js: Any) -> str: + d = _json(js) + v = d.get("spec") if isinstance(d, dict) else None + return str(v) if v else json.dumps(d, ensure_ascii=False) + + +def _json(js: Any) -> dict: + try: + v = json.loads(js) if js else {} + return v if isinstance(v, dict) else {} + except Exception: + return {} + + +def _d(v: Any) -> str: + if v is None or (isinstance(v, float) and v != v): + return "—" + return pd.to_datetime(v).date().isoformat() + + +def _f(v: Any) -> float | None: + if v is None: + return None + try: + f = float(v) + except (TypeError, ValueError): + return None + return None if not np.isfinite(f) else f + + +def _r(v: float | None) -> float | None: + return None if v is None else round(v, 6) + + +def _pct(v: Any) -> str: + f = _f(v) + return "—" if f is None else f"{f * 100:,.2f}%" + + +def _num(v: Any) -> str: + f = _f(v) + return "—" if f is None else f"{f:,.2f}" + + +def _pretty_prov(prov: Provenance) -> str: + lines = [] + for i, e in enumerate(prov.entries, 1): + lines.append(f"[{i}] {e['label']}") + lines.append(f" {e['sql']}") + if e["params"]: + lines.append(f" 参数: {json.dumps(e['params'], ensure_ascii=False, default=str)}") + lines.append("") + return "\n".join(lines) or "（无查询记录）" diff --git a/src/hdiv/report/theme.py b/src/hdiv/report/theme.py new file mode 100644 index 0000000..a842689 --- /dev/null +++ b/src/hdiv/report/theme.py @@ -0,0 +1,202 @@ +"""报告主题：CSS 设计令牌与样式。 + +配色来自设计系统建议（Blue data + Amber highlight，WCAG 对比度达标）： + 主色 #1E40AF / 次色 #3B82F6 / 强调 #D97706 / 背景 #F8FAFC / 卡片 #FFFFFF + +A 股约定：**红涨绿跌**（与欧美相反），据此定义 gain/loss 语义色。 + +离线约束：不引用任何 CDN。字体走本地可用 → 系统字体降级栈。 +""" + +from __future__ import annotations + +PALETTE = { + "primary": "#1E40AF", + "primary_fg": "#FFFFFF", + "secondary": "#3B82F6", + "accent": "#D97706", + "bg": "#F8FAFC", + "fg": "#1E3A8A", + "card": "#FFFFFF", + "muted": "#E9EEF6", + "border": "#DBEAFE", + "danger": "#DC2626", + "text": "#0F172A", + "text_muted": "#64748B", + # A 股：红涨绿跌 + "gain": "#DC2626", + "loss": "#059669", +} + +# 图表统一色序（与主色系一致，保证多图色彩语义稳定） +CHART_COLORS = [ + "#1E40AF", "#D97706", "#3B82F6", "#059669", "#DC2626", + "#7C3AED", "#0891B2", "#CA8A04", "#DB2777", "#65A30D", +] + + +def css() -> str: + p = PALETTE + return f""" +:root {{ + --primary: {p['primary']}; --primary-fg: {p['primary_fg']}; + --secondary: {p['secondary']}; --accent: {p['accent']}; + --bg: {p['bg']}; --fg: {p['fg']}; + --card: {p['card']}; --muted: {p['muted']}; + --border: {p['border']}; --danger: {p['danger']}; + --text: {p['text']}; --text-muted: {p['text_muted']}; + --gain: {p['gain']}; --loss: {p['loss']}; + --space-xs: 4px; --space-sm: 8px; --space-md: 16px; + --space-lg: 24px; --space-xl: 32px; --space-2xl: 48px; + --radius: 8px; + --mono: "Fira Code", ui-monospace, SFMono-Regular, "SF Mono", Menlo, Consolas, monospace; + --sans: "Fira Sans", -apple-system, BlinkMacSystemFont, "PingFang SC", + "Hiragino Sans GB", "Microsoft YaHei", "Segoe UI", Roboto, sans-serif; +}} + +*, *::before, *::after {{ box-sizing: border-box; }} + +html {{ -webkit-text-size-adjust: 100%; }} + +body {{ + margin: 0; padding: 0; + background: var(--bg); color: var(--text); + font-family: var(--sans); font-size: 14px; line-height: 1.6; + font-variant-numeric: tabular-nums; +}} + +.wrap {{ max-width: var(--max-width, 1440px); margin: 0 auto; padding: var(--space-lg); }} + +/* ---------- 页头 ---------- */ +header.page-head {{ + background: var(--primary); color: var(--primary-fg); + padding: var(--space-lg) var(--space-xl); + border-radius: var(--radius); + margin-bottom: var(--space-lg); +}} +header.page-head h1 {{ margin: 0 0 var(--space-xs); font-size: 24px; font-weight: 700; letter-spacing: -0.01em; }} +header.page-head .sub {{ opacity: .85; font-size: 13px; }} + +/* ---------- KPI 卡片 ---------- */ +.kpi-grid {{ + display: grid; gap: var(--space-md); margin-bottom: var(--space-lg); + grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); +}} +.kpi {{ + background: var(--card); border: 1px solid var(--border); + border-radius: var(--radius); padding: var(--space-md); +}} +.kpi .label {{ font-size: 12px; color: var(--text-muted); text-transform: uppercase; letter-spacing: .04em; }} +.kpi .value {{ font-family: var(--mono); font-size: 24px; font-weight: 600; margin-top: var(--space-xs); }} +.kpi .value.gain {{ color: var(--gain); }} +.kpi .value.loss {{ color: var(--loss); }} +.kpi .note {{ font-size: 12px; color: var(--text-muted); margin-top: var(--space-xs); }} + +/* ---------- 卡片 / 分节 ---------- */ +.card {{ + background: var(--card); border: 1px solid var(--border); + border-radius: var(--radius); padding: var(--space-lg); + margin-bottom: var(--space-lg); +}} +.card > h2 {{ + margin: 0 0 var(--space-md); font-size: 16px; font-weight: 600; + color: var(--primary); padding-bottom: var(--space-sm); + border-bottom: 2px solid var(--muted); +}} +.card > h3 {{ margin: var(--space-lg) 0 var(--space-sm); font-size: 14px; color: var(--primary); }} + +/* ---------- 表格 ---------- */ +.table-scroll {{ overflow-x: auto; }} +table.data {{ + width: 100%; border-collapse: collapse; font-size: 13px; +}} +table.data th, table.data td {{ + padding: 6px 10px; text-align: right; border-bottom: 1px solid var(--muted); + white-space: nowrap; +}} +table.data th {{ + background: var(--muted); color: var(--primary); font-weight: 600; + position: sticky; top: 0; z-index: 1; text-align: right; +}} +table.data th:first-child, table.data td:first-child {{ text-align: left; }} +table.data td.num {{ font-family: var(--mono); }} +table.data tbody tr:hover {{ background: #F1F5F9; }} +table.data td.gain {{ color: var(--gain); }} +table.data td.loss {{ color: var(--loss); }} +table.data tfoot td {{ font-weight: 600; background: var(--muted); }} + +/* ---------- 徽章 ---------- */ +.badge {{ + display: inline-block; padding: 1px 8px; border-radius: 999px; + font-size: 11px; font-weight: 600; letter-spacing: .02em; +}} +.badge.OK {{ background: #D1FAE5; color: #065F46; }} +.badge.WARN {{ background: #FEF3C7; color: #92400E; }} +.badge.FAIL {{ background: #FEE2E2; color: #991B1B; }} +.badge.info {{ background: var(--muted); color: var(--primary); }} +.badge.BUY {{ background: #FEE2E2; color: #991B1B; }} +.badge.SELL {{ background: #D1FAE5; color: #065F46; }} +.badge.HOLD {{ background: var(--muted); color: var(--primary); }} + +/* ---------- 图表 ---------- */ +.chart {{ width: 100%; height: 420px; }} +.chart.tall {{ height: 560px; }} +.chart.short {{ height: 280px; }} +.chart-grid {{ display: grid; gap: var(--space-lg); grid-template-columns: repeat(auto-fit, minmax(420px, 1fr)); }} + +/* ---------- 提示 / 说明 ---------- */ +.callout {{ + border-left: 4px solid var(--secondary); background: #EFF6FF; + padding: var(--space-sm) var(--space-md); border-radius: 0 var(--radius) var(--radius) 0; + margin: var(--space-md) 0; font-size: 13px; +}} +.callout.warn {{ border-color: var(--accent); background: #FFFBEB; }} +.callout.fail {{ border-color: var(--danger); background: #FEF2F2; }} +.callout.ok {{ border-color: var(--loss); background: #ECFDF5; }} + +.muted {{ color: var(--text-muted); }} +.mono {{ font-family: var(--mono); }} +.small {{ font-size: 12px; }} +.right {{ text-align: right; }} +.nowrap {{ white-space: nowrap; }} + +/* ---------- 可折叠 ---------- */ +details {{ margin: var(--space-sm) 0; }} +details > summary {{ + cursor: pointer; font-weight: 600; color: var(--primary); + padding: var(--space-sm); background: var(--muted); border-radius: var(--radius); +}} +details[open] > summary {{ margin-bottom: var(--space-sm); }} + +/* ---------- 页脚 / 溯源 ---------- */ +footer.page-foot {{ + margin-top: var(--space-xl); padding: var(--space-md) var(--space-lg); + background: var(--card); border: 1px solid var(--border); + border-radius: var(--radius); font-size: 12px; color: var(--text-muted); +}} +footer.page-foot code {{ font-family: var(--mono); color: var(--primary); }} +footer.page-foot dl {{ display: grid; grid-template-columns: max-content 1fr; gap: 2px var(--space-md); margin: var(--space-sm) 0 0; }} +footer.page-foot dt {{ font-weight: 600; }} + +/* ---------- 报告索引 ---------- */ +.report-list {{ display: grid; gap: var(--space-md); grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); }} +.report-item {{ + background: var(--card); border: 1px solid var(--border); border-radius: var(--radius); + padding: var(--space-md); text-decoration: none; color: inherit; display: block; +}} +.report-item:hover {{ border-color: var(--secondary); }} +.report-item .t {{ font-weight: 600; color: var(--primary); }} +.report-item .m {{ font-size: 12px; color: var(--text-muted); margin-top: var(--space-xs); }} + +/* ---------- 进度条（覆盖率等） ---------- */ +.bar {{ background: var(--muted); border-radius: 999px; height: 8px; overflow: hidden; min-width: 80px; }} +.bar > span {{ display: block; height: 100%; background: var(--secondary); }} +.bar > span.ok {{ background: var(--loss); }} +.bar > span.warn {{ background: var(--accent); }} +.bar > span.fail {{ background: var(--danger); }} + +@media print {{ + body {{ background: #fff; }} + .card {{ break-inside: avoid; }} +}} +""" diff --git a/src/hdiv/report/universe_report.py b/src/hdiv/report/universe_report.py new file mode 100644 index 0000000..3efb3e4 --- /dev/null +++ b/src/hdiv/report/universe_report.py @@ -0,0 +1,270 @@ +"""股票池报告装配器（plan.md §34「股票池」页面）。""" + +from __future__ import annotations + +from datetime import date, datetime +from pathlib import Path +from typing import Any + +import pandas as pd + +from hdiv.core.config import config_hash, load_config +from hdiv.data import db +from hdiv.data.repo import Repo +from hdiv.report.renderer import Provenance, Renderer, query + +# 滤网中文说明（呈现用，非业务逻辑） +_FILTER_DESC = { + "market": "交易所 / 板块 / 上市年限 / 市值 / 流动性 / 当日可交易", + "risk": "ST / 退市 / 停牌 / 净资产为负 / 资产负债率（金融豁免）", + "dividend": "股息率 / 连续分红年数 / 窗口内分红次数 / 支付率 / FCF 覆盖", + "quality": "年均 ROE / ROIC / 毛利率 / 净利率 / 经营现金流对利润（金融豁免）", +} + + +def build_universe_report(run_id: str, *, cfg: Any = None, top_rejected: int = 400) -> Path: + if cfg is None: + db.load_dotenv_once() + cfg = load_config("datasource") + r = Renderer() + prov = Provenance() + + head = query( + "SELECT run_id, name, asof_date, mode, candidate_count, member_count, " + " config_json, config_hash, data_version, stats_json, status, created_at " + "FROM hd_universe_run WHERE run_id = :rid", + {"rid": run_id}, prov=prov, label="股票池运行头", cfg=cfg, + ) + if head.empty: + raise ValueError(f"找不到 run_id={run_id}") + h = head.iloc[0] + + members_df = query( + "SELECT symbol, name, industry, passed, fail_stage, fail_reason, values_json, filter_json " + "FROM hd_universe_member WHERE run_id = :rid", + {"rid": run_id}, prov=prov, label="股票池成员", cfg=cfg, + ) + selected = members_df[members_df["passed"] == 1].copy() + rejected = members_df[members_df["passed"] == 0].copy() + + # 逐股指标（从 values_json 展开） + def vals(s: str) -> dict: + import json + + try: + return json.loads(s) if s else {} + except Exception: + return {} + + sel_vals = selected["values_json"].map(vals) if not selected.empty else pd.Series(dtype=object) + if not selected.empty: + selected["dividend_yield"] = sel_vals.map(lambda d: d.get("dividend_yield")) + selected["continuity"] = sel_vals.map( + lambda d: d.get("dividend_continuity_years") + ) + selected["roe"] = sel_vals.map(lambda d: d.get("roe")) + selected["debt_ratio"] = sel_vals.map(lambda d: d.get("debt_ratio")) + selected["payout_ratio"] = sel_vals.map(lambda d: d.get("payout_ratio")) + selected = selected.sort_values("dividend_yield", ascending=False, na_position="last") + + # 入选股的市场指标 + market_cols = {} + if not selected.empty: + asof = pd.to_datetime(h["asof_date"]).date() + repo = Repo(cfg) + panel = repo.market_panel(asof) + m = panel.set_index("symbol") + for c in ("pe_ttm", "pb", "total_mv"): + market_cols[c] = selected["symbol"].map( + lambda s: float(m.at[s, c]) if s in m.index and pd.notna(m.at[s, c]) else None + ) + + member_rows = [] + for i, row in selected.iterrows(): + member_rows.append( + { + "symbol": row["symbol"], + "name": row["name"], + "industry": row["industry"] or "—", + "dividend_yield": _pct(row.get("dividend_yield")), + "pe_ttm": _num(market_cols.get("pe_ttm", pd.Series()).get(i), 2), + "pb": _num(market_cols.get("pb", pd.Series()).get(i), 2), + "total_mv": _yi(market_cols.get("total_mv", pd.Series()).get(i)), + "continuity": _num(row.get("continuity"), 0), + "roe": _pct(row.get("roe")), + "debt_ratio": _pct(row.get("debt_ratio")), + "payout": _pct(row.get("payout_ratio")), + } + ) + + # 滤网漏斗 + stats = {} + import json as _json + + try: + stats = _json.loads(h["stats_json"]) if h["stats_json"] else {} + except Exception: + stats = {} + incoming = int(h["candidate_count"]) + stages = [] + for name in ("market", "risk", "dividend", "quality"): + removed = int(stats.get(name, 0)) + stages.append( + { + "name": name, + "incoming": incoming, + "removed": removed, + "survived": incoming - removed, + "rate": f"{removed / incoming:.1%}" if incoming else "—", + "desc": _FILTER_DESC.get(name, ""), + } + ) + incoming -= removed + funnel = [{"name": "候选", "value": int(h["candidate_count"])}] + [ + {"name": f"通过 {s['name']}", "value": s["survived"]} for s in stages + ] + + # 行业分布 + industry_rows: list[dict[str, Any]] = [] + industry_chart: list[dict[str, Any]] = [] + if not selected.empty: + cand_by_ind = rejected["industry"].value_counts().to_dict() + sel_by_ind = selected["industry"].fillna("未知").value_counts() + tot = int(sel_by_ind.sum()) or 1 + for ind, n in sel_by_ind.items(): + cand_n = int(cand_by_ind.get(ind, 0)) + int(n) + industry_rows.append( + { + "industry": ind, + "selected": int(n), + "share": f"{n / tot:.1%}", + "candidates": cand_n, + "hit_rate": f"{n / cand_n:.1%}" if cand_n else "—", + } + ) + industry_chart.append({"name": ind, "value": int(n)}) + + # 股息率直方图（入选 vs 候选） + yield_hist = None + all_vals = members_df["values_json"].map(vals) + cand_yield = pd.to_numeric( + all_vals.map(lambda d: d.get("dividend_yield")), errors="coerce" + ) + sel_yield = pd.to_numeric(sel_vals.map(lambda d: d.get("dividend_yield")), errors="coerce") \ + if not selected.empty else pd.Series(dtype=float) + if cand_yield.notna().sum() > 0: + edges = [0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.08, 0.10, 1.0] + labels = ["<1%", "1-2%", "2-3%", "3-4%", "4-5%", "5-6%", "6-8%", "8-10%", ">10%"] + cand_counts = pd.cut(cand_yield, bins=edges, labels=labels, right=False).value_counts() + sel_counts = pd.cut(sel_yield, bins=edges, labels=labels, right=False).value_counts() + yield_hist = { + "buckets": labels, + "series": [ + {"name": "候选", "data": [int(cand_counts.get(x, 0)) for x in labels]}, + {"name": "入选", "data": [int(sel_counts.get(x, 0)) for x in labels]}, + ], + } + + rej = rejected.head(top_rejected) + rejected_rows = [ + { + "symbol": row["symbol"], + "name": row["name"], + "industry": row["industry"] or "—", + "fail_stage": row["fail_stage"] or "—", + "fail_reason": row["fail_reason"] or "—", + } + for _, row in rej.iterrows() + ] + + asof_d = pd.to_datetime(h["asof_date"]).date() + filename = r.name_from("universe", asof=asof_d.isoformat(), run_id=run_id) + n_member = int(h["member_count"]) + n_cand = int(h["candidate_count"]) + + return r.render( + "reports/universe.html", + { + "candidate_count": f"{n_cand:,}", + "member_count": n_member, + "pass_rate": f"{n_member / n_cand:.2%}" if n_cand else "—", + "asof_date": str(asof_d), + "warnings": _warnings(h, n_member), + "stages": stages, + "funnel": funnel, + "members": member_rows, + "industry_rows": industry_rows, + "industry_chart": industry_chart, + "yield_hist": yield_hist, + "rejected": rejected_rows, + "config_json": _pretty_json(h["config_json"]), + "config_hash": h["config_hash"], + "data_version": h["data_version"], + "provenance_count": len(prov.entries), + "provenance_pretty": _pretty_prov(prov), + "subtitle": f"筛选配置 {h['name']} · 求值时点 {asof_d}（Point-in-Time）", + }, + filename, + report_type="universe", + title=f"股票池报告 · {asof_d}", + source_run_ids=[run_id], + provenance=prov, + cfg=cfg, + ) + + +def _warnings(h: Any, n_member: int) -> list[str]: + out: list[str] = [] + if n_member == 0: + out.append("股票池为空：筛选条件过严，或相关数据（分红/财报）尚未同步完成") + elif n_member < 10: + out.append(f"股票池仅 {n_member} 只，偏少；请确认财务与分红数据是否已全量同步") + if h["status"] == "WARN": + out.append("运行状态为 WARN，详见下方漏斗与配置") + return out + + +def _num(v: Any, dec: int = 2) -> str: + if v is None or (isinstance(v, float) and v != v) or pd.isna(v): + return "—" + try: + return f"{float(v):,.{dec}f}" + except (TypeError, ValueError): + return str(v) + + +def _pct(v: Any, dec: int = 2) -> str: + if v is None or (isinstance(v, float) and v != v) or pd.isna(v): + return "—" + try: + return f"{float(v) * 100:.{dec}f}%" + except (TypeError, ValueError): + return str(v) + + +def _yi(v: Any) -> str: + if v is None or (isinstance(v, float) and v != v) or pd.isna(v): + return "—" + return f"{float(v) / 1e8:,.1f}亿" + + +def _pretty_json(s: Any) -> str: + import json + + try: + return json.dumps(json.loads(s), ensure_ascii=False, indent=2) + except Exception: + return str(s) + + +def _pretty_prov(prov: Provenance) -> str: + import json + + lines = [] + for i, e in enumerate(prov.entries, 1): + lines.append(f"[{i}] {e['label']}") + lines.append(f" {e['sql']}") + if e["params"]: + lines.append(f" 参数: {json.dumps(e['params'], ensure_ascii=False, default=str)}") + lines.append("") + return "\n".join(lines) or "（无查询记录）" diff --git a/src/hdiv/report/validate.py b/src/hdiv/report/validate.py new file mode 100644 index 0000000..227a721 --- /dev/null +++ b/src/hdiv/report/validate.py @@ -0,0 +1,199 @@ +"""HTML 报告的结构化校验（离线约束 + 数据完整性）。 + +不依赖浏览器：直接解析 HTML 文本，验证 +1. **无任何外部资源引用**（离线硬约束）—— 不允许 http(s):// 或 //cdn 形式的 src/href； +2. 引用的本地资源（js/css）真实存在； +3. ECharts 容器与初始化脚本成对出现； +4. 页面确实渲染了数据（表格行数、KPI 数量）。 +""" + +from __future__ import annotations + +import re +import sys +from dataclasses import dataclass +from pathlib import Path + +# 允许出现外部 URL 的位置：注释、文本说明、 示例 +_ALLOWED_URL_CONTEXT = re.compile( + r"(|tushare\.pro|127\.0\.0\.1|fonts\.googleapis|schema|xmlns|w3\.org)", + re.IGNORECASE | re.DOTALL, +) + +_RESOURCE_ATTR = re.compile( + r"""<(?:script|link|img)\b[^>]*?\b(?:src|href)\s*=\s*["']([^"']+)["']""", + re.IGNORECASE, +) +_URL_IN_JS = re.compile(r"""["'](https?://[^"']+)["']""", re.IGNORECASE) + + +@dataclass +class HtmlCheck: + path: Path + ok: bool + issues: list[str] + stats: dict[str, int | str] + + +#: 出现在 ", text, re.DOTALL)) + unused = [ + cid for cid in set(container_ids) + if f"'{cid}'" not in scripts and f'"{cid}"' not in scripts + ] + if unused: + issues.append(f"下列图表容器未被脚本引用（不会渲染）：{sorted(unused)}") + if "echarts.init(" not in scripts: + issues.append("页面有图表容器但脚本中没有任何 echarts.init 调用") + if "echarts.min.js" not in text and "Apache Software Foundation" not in text: + issues.append("未发现 ECharts 引用") + + # 5) 数据是否真的渲染出来 + rows = len(re.findall(r"", text)) + badges = len(re.findall(r'class="badge', text)) + kpis = len(re.findall(r'class="kpi"', text)) + stats["table_rows"] = rows + stats["badges"] = badges + stats["kpi_cards"] = kpis + if rows == 0 and kpis == 0: + issues.append("页面既无表格行也无 KPI 卡片，可能未渲染数据") + + # 6) 必须包含溯源信息 + if "数据溯源" not in text: + issues.append("缺少数据溯源区块") + + # 7) 未解析的模板变量 + leftover = re.findall(r"\{\{\s*[\w.]+\s*\}\}|\{%\s*\w+", text) + if leftover: + issues.append(f"存在未渲染的模板标记：{leftover[:5]}") + + # 8a) 内联脚本里出现 HTML 实体 → autoescape 破坏了 JS（图表会全部失效） + inline_scripts = re.findall( + r"]*\bsrc=)[^>]*>(.*?)", text, re.DOTALL + ) + stats["inline_scripts"] = len(inline_scripts) + for idx, js in enumerate(inline_scripts): + hits = _SCRIPT_ENTITY.findall(js) + if hits: + issues.append( + f"内联脚本 #{idx} 含 HTML 实体 {sorted(set(hits))[:4]} —— " + "JSON/字符串被 autoescape 转义，JS 语法非法，图表不会渲染。" + "模板变量需走 _json_for_script（返回 Markup 并做 \\uXXXX 转义）。" + ) + break + + # 8b) 用 node 做真实 JS 语法检查（最有价值的一道防线） + for idx, js in enumerate(inline_scripts): + if not js.strip(): + continue + err = _node_check(js) + if err: + issues.append(f"内联脚本 #{idx} JS 语法错误：{err}") + break + if err == "": + stats["js_syntax"] = "ok" + + # 8) 被 HTML 转义的标签/样式（Jinja2 autoescape 踩坑检测） + # 典型症状： +{% endif %} +{% endblock %} diff --git a/templates/reports/backtest.html b/templates/reports/backtest.html new file mode 100644 index 0000000..3f7768a --- /dev/null +++ b/templates/reports/backtest.html @@ -0,0 +1,328 @@ +{% extends "base.html" %} + +{% block content %} + +
+
+
总收益
+
{{ m.total_return_s }}
+
{{ start_date }} ~ {{ end_date }}
+
+
+
年化 CAGR
+
{{ m.cagr_s }}
+
区间 {{ m.years_s }} 年
+
+
+
最大回撤
+
{{ m.max_drawdown_s }}
+
{{ dd.peak_date }} → {{ dd.trough_date }}{% if dd.recovery_date %} → 修复 {{ dd.recovery_date }}{% endif %}
+
+
+
Sharpe
+
{{ m.sharpe_s }}
+
无风险利率 {{ rf }}
+
+
+
成交笔数
+
{{ m.trade_count }}
+
平仓 {{ m.closing_trade_count }} 笔 · 胜率 {{ m.win_rate_s }}
+
+
+
累计现金分红
+
{{ dividend_total }}
+
已扣红利税 {{ dividend_tax }}
+
+
+ +{% if superseded %} +
+ ⚠ 这是一份历史运行报告，已被更新的运行取代。 + 同策略同模式下还有 {{ superseded.newer_count }} 次更新的回测，最新为 + {{ superseded.latest_run }}（{{ superseded.latest_at }}）。 + 旧运行可能产生于成本模型或筛选条件修复之前，请以最新运行为准。 + 本报告保留是为了满足「回测结果必须可复现」的要求，不代表当前结论。 +
+{% endif %} + +{% if unbalanced %} +
+ 资金对账未通过！残差 {{ rc.residual }}（容差 1.0 元）。 + 这通常意味着成本或分红入账存在遗漏，请先修复再解读绩效指标。 +
+{% else %} +
+ 资金对账通过 — 恒等式「期初 = 期末现金 + 买入 − 卖出 + 费用 − 分红」 + 残差仅 {{ rc.residual }} 元（浮点误差量级），说明成本与分红入账完整无遗漏。 +
+{% endif %} + +
+

净值曲线与基准对比

+
+
+ +
+
+

回撤曲线

+
+
+
+

年度收益

+
+
+
+ +
+

绩效指标（plan.md §28 四类）

+
+ + + + {% for r in metric_rows %} + + + + + + + {% endfor %} + +
类别指标数值说明
{{ r.category }}{{ r.label }}{{ r.value }}{{ r.note }}
+
+
+ +
+

基准比较（plan.md §28.4）

+
+ + + + + + + + + + + + {% for b in benchmarks %} + + + + + + + + + {% endfor %} + +
基准总收益CAGR最大回撤年化波动超额收益
策略{{ m.total_return_s }}{{ m.cagr_s }}{{ m.max_drawdown_s }}{{ m.volatility_s }}—
{{ b.name }} {{ b.code }}{{ b.total_return }}{{ b.cagr }}{{ b.max_drawdown }}{{ b.volatility }}{{ b.excess_return }}
+
+
+ +{% if sector_rows %} +
+

行业暴露（plan.md §20 集中度）

+
+
+ + + + {% for s in sector_rows %} + + + {% endfor %} + +
行业最大权重平均权重股票数
{{ s.industry }}{{ s.max_weight }}{{ s.avg_weight }}{{ s.symbols }}
+
+
+{% endif %} + +
+

成交流水（含 reason —— plan.md §32「为什么买」）

+
+ 每笔交易都记录了触发时的完整理由：股息率取值、历史分位、所用参照窗口、 + 阈值与规则文本，使 AI 或人工都能事后复核决策依据。 +
+
+ + + + + + + + {% for t in trade_rows %} + + + + + + + + + + + + + + + {% endfor %} + +
#代码信号日成交日方向价格数量金额费用已实现盈亏持有天数触发理由
{{ loop.index }}{{ t.symbol }}{{ t.signal_date }}{{ t.execution_date }}{{ t.side }}{{ t.price }}{{ t.quantity }}{{ t.amount }}{{ t.fees }}{{ t.pnl }}{{ t.holding_days }}{{ t.reason }}
+
+
+ +{% if signal_skips %} +
+

未成交信号与原因

+
+ 这些信号「想交易但没成交」。区分它们与已成交记录，才能判断策略表现 + 是否被涨跌停/停牌等约束实质影响。 +
+
+ + + + {% for s in signal_skips %} + + + + {% endfor %} + +
代码信号日类型分位未成交原因
{{ s.symbol }}{{ s.signal_date }}{{ s.kind }}{{ s.pct }}{{ s.reason }}
+
+
+{% endif %} + +{% if unimplemented %} +
+ 未建模部分（如实声明，不假装已实现）： +
    + {% for u in unimplemented %}
  • {{ u }}
    • {% endfor %} +
+
+{% endif %} + +
+

回测配置与可复现性（plan.md §47 原则 6）

+
+ + + + + + + + + + + + +
项值
策略{{ strategy_id }} v{{ strategy_version }}
策略指纹 config_hash{{ config_hash }}
数据版本 data_version{{ data_version }}
代码版本 code_version{{ code_version }}
随机种子 seed{{ seed }}
信号评估频率{{ signal_freq }}
分位参照口径{{ reference_mode }}
成交价{{ fill_price }}
+
+
+ 查看生效的策略配置 + 
{{ strategy_json }}
+
+
+ +{% endblock %} + +{% block scripts %} + +{% endblock %} diff --git a/templates/reports/index.html b/templates/reports/index.html new file mode 100644 index 0000000..9966c99 --- /dev/null +++ b/templates/reports/index.html @@ -0,0 +1,83 @@ +{% extends "base.html" %} + +{% block content %} + +
+
报告总数
{{ total }}
+
{{ groups|length }} 个类型
+
最新报告
{{ latest_count }}
+
每个类型的首份
+
离线资源
+
{{ asset_hint }}
+
图表库必须与本页同级目录一起部署
+
+ +{% if hidden %} +
+ 另有 {{ hidden }} 份 Walk-forward 子运行报告（各窗口的训练/测试段） + 未在此列出 —— 它们是可下钻的原始证据而非独立交付物，文件仍在 + output/ 下，可在 hd_report 表中按 run_id 找到。 +
+{% endif %} + +{% if missing %} +
+ 有 {{ missing }} 份登记的报告文件在磁盘上不存在 —— + 索引中的链接会失效。请重新生成对应报告，或整体重新部署 output/ 目录。 +
+{% endif %} + +
+ 部署须知：图表依赖本地资源。 + 报告通过相对路径引用 assets/echarts.min.js。 + 若你把报告发布到 /ggx/ 这样的路径下， + 必须同时部署 output/assets/ 目录， + 使其可通过 /ggx/assets/echarts.min.js 访问； + 否则页面能打开但所有图表都不会显示。 + 如无法部署该目录，可把 config/report.yml 的 + asset_mode 改为 inline + 重新生成，让每份 HTML 自带图表库（体积由约 10MB 增至约 79MB）。 +
+ +{% for g in groups %} +
+

{{ g.label }} {{ g.reports|length }}

+
+ {% for it in g.reports %} + +
+ {% if it.is_latest %}最新 {% endif %} + {{ it.title }} +
+
{{ it.path }}
+
{{ it.size }} · {{ it.generated_at }} + {% if not it.exists %} · 文件缺失{% endif %} +
+ + {% endfor %} +
+
+{% endfor %} + +
+

系统说明

+
+ + + + + + + + + + + +
项说明
数据源本机 MariaDB 127.0.0.1:3306/qlib（与 qlib 平台共用）+ Tushare Pro
配置全部阈值来自 config/*.yml，代码零硬编码
结果优先写入数据库 hd_* 表；HTML 仅作呈现
数据安全只增不删：所有 SQL 经安全钩子拦截 DELETE/DROP/TRUNCATE
离线不依赖任何 CDN；图表库本地提供
报告时效同一类型的多份报告是历史运行，请以标注「最新」的为准
使用文档 + docs/user-guide.md 使用手册（安装/配置/命令/报告解读/故障排查）
+ docs/implementation-status.md 实施状态（含实测结论与已知限制） +
+
+
+ +{% endblock %} diff --git a/templates/reports/profile.html b/templates/reports/profile.html new file mode 100644 index 0000000..8feca18 --- /dev/null +++ b/templates/reports/profile.html @@ -0,0 +1,261 @@ +{% extends "base.html" %} + +{% block content %} + +
+
+
当前股息率
+
{{ current_yield }}
+
TTM 每股分红 / 不复权收盘价
+
+
+
历史分位
+
{{ current_pct }}
+
当前值在自身历史分布中的位置
+
+
+
P75 / P25 参考
+
{{ p75 }} / {{ p25 }}
+
策略买入 / 卖出阈值
+
+
+
样本观测
+
{{ n_obs }}
+
日频观测数（{{ history_span }}）
+
+
+ +{% if signal_note %} +
+ 策略信号判定：{{ signal_note }} +
+{% endif %} + +
+

K线 · 股息率 · PE · PB · 回撤（plan.md §33 四联图）

+
+
+ +
+
+

股息率历史分布（plan.md §9）

+
+
+
+

股息率波动特征（plan.md §11）

+
+
+
+ +
+

历史分布统计（plan.md §9 要求的分位）

+
+ + + + + + + + + + {% for r in dist_rows %} + + + + + + + + + + + + + + + + + + {% endfor %} + +
指标窗口样本MinP10P25P50P75P90MaxMeanStd当前值当前分位状态
{{ r.label }}{{ r.window }}{{ r.n_obs }}{{ r.min }}{{ r.p10 }}{{ r.p25 }}{{ r.p50 }}{{ r.p75 }}{{ r.p90 }}{{ r.max }}{{ r.mean }}{{ r.std }}{{ r.current }}{{ r.pct }}{{ r.status }}
+
+
+ +
+
+

分红质量（plan.md §14）

+
+ + + + {% for r in dividend_rows %} + + + {% endfor %} + +
指标取值说明
{{ r.label }}{{ r.value }}{{ r.note }}
+
+
+
+

安全边际分项得分（plan.md §15）

+ {% if score_rows %} +
+
+ + + + {% for s in score_rows %} + + {% endfor %} + +
分项得分
{{ s.label }}{{ s.score }}
+
+ {% else %} +
分项数据不足，未计算得分（不使用残缺数据造分）
+ {% endif %} +
+
+ +{% if missing %} +
+ 数据缺失提示：{{ missing }} +
+{% endif %} + +{% endblock %} + +{% block scripts %} + +{% endblock %} diff --git a/templates/reports/sensitivity.html b/templates/reports/sensitivity.html new file mode 100644 index 0000000..6b43a5a --- /dev/null +++ b/templates/reports/sensitivity.html @@ -0,0 +1,194 @@ +{% extends "base.html" %} + +{% block content %} + +{% if analysis %} +
+ 敏感性结论：{{ analysis.verdict }}
+ CAGR 跨度 {{ analysis.cagr_range_s }} + （{{ analysis.cagr_min_s }} ~ {{ analysis.cagr_max_s }}）， + 相邻档最大跳变 {{ analysis.max_jump_s }}， + 平滑度 {{ analysis.smoothness_s }} + {% if analysis.spikes %}，检出 {{ analysis.spikes|length }} 处尖峰{% endif %}。 +
+{% else %} +
扫描点数不足，无法评估参数敏感性。
+{% endif %} + +
+
参数组合数
{{ point_count }}
+
扫描网格 {{ sweep }}
+
CAGR 区间
+
{{ analysis.cagr_min_s }} ~ {{ analysis.cagr_max_s }}
+
跨度 {{ analysis.cagr_range_s }}
+
平滑度
+
{{ analysis.smoothness_s }}
+
越接近 1 越平滑（≥0.6 且无尖峰视为稳健）
+
尖峰数
+
{{ analysis.spikes|length if analysis.spikes else 0 }}
+
某点显著高于左右邻居即为尖峰
+
+ +
+ 如何判读（plan.md §27）：若买入分位 P75→13%、P80→13.5%、P85→13.2%， + 说明策略对参数不敏感，结论相对可信； + 若 P79→18%、P80→20%、P81→8%，说明存在尖峰，很可能过拟合。 + 平滑度指标把这一判断从主观观察变成了可量化的数字。 +
+ +{% if point_count > 1 %} +
+

绩效随参数的变化

+
+
+{% endif %} + +
+

扫描明细

+
+ + + + {% for k in sweep_keys %}{% endfor %} + + + + + + {% for p in points %} + + {% for v in p.key_values %}{% endfor %} + + + + + + + + + + {% endfor %} + +
{{ k }}CAGR总收益最大回撤SharpeCalmarSortino成交年换手
{{ v }}{{ p.cagr }}{{ p.total_return }}{{ p.max_drawdown }}{{ p.sharpe }}{{ p.calmar }}{{ p.sortino }}{{ p.trade_count }}{{ p.turnover }}
+
+ {% if analysis.spikes %} +
+ 检出的尖峰： +
    + {% for s in analysis.spikes %} +
  • 第 {{ s.index }} 点 CAGR {{ s.cagr_s }}，高于左右邻居均值 {{ s.excess_s }} + （邻居均值 {{ s.neighbour_mean_s }}）
    • + {% endfor %} +
+ 这意味着收益对参数的微小变化异常敏感，是过拟合的典型信号。 +
+ {% endif %} +
+ +
+

性能与参数的关系

+
+

年化收益 CAGR

+

最大回撤

+

Sharpe

+

成交笔数（换手）

+
+
+ +
+

可复现性

+
+ + + + + + + + + +
项值
敏感性 ID{{ sens_id }}
基准策略{{ strategy_id }} v{{ strategy_version }}
扫描网格{{ sweep }}
区间{{ period }}
数据版本{{ data_version }}
+
+
+ 注意：敏感性结论依赖扫描区间长度与股票池规模。 + 若股票池仅数十只、区间仅数年，即使平滑度低也可能只是样本噪声 —— + 应结合 Walk-forward 的样本外结果共同判断。 +
+
+ +{% endblock %} + +{% block scripts %} + + +{% endblock %} diff --git a/templates/reports/universe.html b/templates/reports/universe.html new file mode 100644 index 0000000..2c8fb76 --- /dev/null +++ b/templates/reports/universe.html @@ -0,0 +1,210 @@ +{% extends "base.html" %} + +{% block content %} + +
+
候选股票
{{ candidate_count }}
截至 asof 已上市且未退市
+
入选股票
{{ member_count }}
通过全部滤网
+
通过率
{{ pass_rate }}
{{ member_count }} / {{ candidate_count }}
+
求值时点
{{ asof_date }}
Point-in-Time
+
+ +{% if warnings %} +
+ 注意 +
    + {% for w in warnings %}
  • {{ w }}
    • {% endfor %} +
+
+{% endif %} + +
+

滤网淘汰过程

+
+
+ + + + + + {% for s in stages %} + + + + + + + + + + {% endfor %} + +
顺序滤网进入淘汰存活淘汰率说明
{{ loop.index }}{{ s.name }}{{ s.incoming }}{{ s.removed }}{{ s.survived }}{{ s.rate }}{{ s.desc }}
+
+
+ +
+

入选股票（按股息率降序）

+
+ + + + + + + + + + {% for m in members %} + + + + + + + + + + + + + + {% endfor %} + +
代码名称行业股息率PE(TTM)PB总市值连续分红ROE(年均)负债率支付率
{{ m.symbol }}{{ m.name }}{{ m.industry }}{{ m.dividend_yield }}{{ m.pe_ttm }}{{ m.pb }}{{ m.total_mv }}{{ m.continuity }}{{ m.roe }}{{ m.debt_ratio }}{{ m.payout }}
+
+
+ +{% if industry_rows %} +
+
+

入选股票行业分布

+
+
+
+

股息率分布（入选 vs 候选）

+
+
+
+
+

行业集中度明细

+
+ 单行业权重上限由策略的 position.sector_max_position 控制； + 此处仅呈现筛选结果的行业分布，用于事前判断集中度风险。 +
+
+ + + + {% for i in industry_rows %} + + + + + + + + {% endfor %} + +
行业入选数占入选比例候选数入选率
{{ i.industry }}{{ i.selected }}{{ i.share }}{{ i.candidates }}{{ i.hit_rate }}
+
+
+{% endif %} + +
+

被淘汰股票与原因（可回答「为什么没选上」）

+
+ + + + + + + {% for r in rejected %} + + + + + + + + {% endfor %} + +
代码名称行业首个未通过滤网原因
{{ r.symbol }}{{ r.name }}{{ r.industry }}{{ r.fail_stage }}{{ r.fail_reason }}
+
+
+ +
+

生效的筛选配置

+ 
{{ config_json }}
+
+ +{% endblock %} + +{% block scripts %} + +{% endblock %} diff --git a/templates/reports/walkforward.html b/templates/reports/walkforward.html new file mode 100644 index 0000000..53f60cc --- /dev/null +++ b/templates/reports/walkforward.html @@ -0,0 +1,195 @@ +{% extends "base.html" %} + +{% block content %} + +
+ 样本外结论： + {{ summary.windows }} 个滚动窗口中 + {{ summary.oos_win_windows }} 个测试期为正 + （胜率 {{ summary.oos_win_rate_s }}）。 + 样本外收益均值 {{ summary.oos_total_return_mean_s }}， + {% if summary.oos_excess_return_mean is not none %} + 相对基准超额 {{ summary.oos_excess_return_mean_s }}。 + {% endif %} + {% if summary.oos_stability is not none and summary.oos_stability < 1 %} + ⚠ 稳定性指标 {{ summary.oos_stability_s }} 偏低（<1），说明各窗口差异较大，结论需谨慎。 + {% endif %} +
+ +
+
窗口数
{{ summary.windows }}
+
{{ scheme }} · 训练 {{ train_years }} 年 / 测试 {{ test_years }} 年
+
样本外胜率
+
{{ summary.oos_win_rate_s }}
+
{{ summary.oos_win_windows }} / {{ summary.windows }} 个窗口为正
+
样本外收益均值
+
{{ summary.oos_total_return_mean_s }}
+
中位数 {{ summary.oos_total_return_median_s }}
+
最差窗口回撤
+
{{ summary.oos_max_drawdown_worst_s }}
+
样本外最大回撤的最差值
+
超额收益均值
+
{{ summary.oos_excess_return_mean_s }}
+
相对 {{ benchmark_name }}
+
稳定性
{{ summary.oos_stability_s }}
+
样本外收益均值 / 标准差，越高越可信
+
+ +
+

样本内 vs 样本外（plan.md §24/§25）

+
+ 训练段用于校准阈值（把「历史 P75」转成绝对股息率）， + 测试段冻结该分布与参数 —— 引擎在代码层面不接受测试期自身数据参与分位计算， + 因此这里不存在「用未来分布判断现在」的隐性未来函数。 +
+
+
+ +
+

逐窗口明细

+
+ + + + + + + + + + + {% for w in windows %} + + + + + + + + + + + + + + {% endfor %} + + + + + + + + + + +
#训练区间测试区间训练收益训练回撤测试收益测试回撤测试Sharpe测试成交绝对买入阈值绝对卖出阈值
{{ w.index }}{{ w.train_start }} ~ {{ w.train_end }}{{ w.test_start }} ~ {{ w.test_end }}{{ w.train_return }}{{ w.train_dd }}{{ w.test_return }}{{ w.test_dd }}{{ w.test_sharpe }}{{ w.test_trades }}{{ w.abs_entry }}{{ w.abs_exit }}
样本外汇总{{ summary.oos_total_return_mean_s }}{{ summary.oos_max_drawdown_worst_s }}{{ summary.oos_sharpe_mean_s }}均值 / 最差
+
+
+ +{% if frozen_rows %} +
+

校准出的绝对阈值（阈值稳定性）

+
+ 若各窗口校准出的绝对股息率阈值差异很大，说明「历史 P75」这一相对口径 + 在不同时期对应的绝对水平不稳定，策略的市场环境依赖性较强。 +
+
+
+ + + + {% for f in frozen_rows %} + + + + + + + + + {% endfor %} + +
#校准窗口买入阈值(绝对股息率)卖出阈值样本观测数中位股息率
{{ f.index }}{{ f.window }}{{ f.entry }}{{ f.exit }}{{ f.obs }}{{ f.median }}
+
+
+{% endif %} + +
+

可复现性

+
+ + + + + + + + + + +
项值
Walk-forward ID{{ wf_id }}
策略{{ strategy_id }} v{{ strategy_version }}
配置指纹{{ config_hash }}
数据版本{{ data_version }}
窗口方案{{ scheme }} · 训练 {{ train_years }} 年 · 测试 {{ test_years }} 年 · 步进 {{ step_months }} 月
测试期冻结参数{{ freeze }}
+
+
+ +{% endblock %} + +{% block scripts %} + +{% endblock %} diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_backtest.py b/tests/test_backtest.py new file mode 100644 index 0000000..c9df02a --- /dev/null +++ b/tests/test_backtest.py @@ -0,0 +1,460 @@ +"""回测引擎、成本、分红、绩效与敏感性测试。 + +覆盖的都是「错了也不会报错、只会静默给出错误结论」的地方： +- 总市值漏掉现金 → 净值曲线失真； +- 会计恒等式不平 → 成本/分红有遗漏； +- 分位阈值口径混用 → 未来函数； +- 分批建仓与减仓互相冲突 → 高频无效交易； +- 参数耦合未同步 → 扫出的差异来自形状畸变而非阈值本身。 +""" + +from __future__ import annotations + +from datetime import date + +import numpy as np +import pandas as pd +import pytest + +from hdiv.backtest.engine import ( + CostModel, + Position, + Signal, + _months_between, + _round_lot, + reconcile, +) +from hdiv.backtest.walk_forward import WalkForwardRunner, _add_months, _add_years +from hdiv.core.config import CostConfig, load_config +from hdiv.strategy.registry import StrategyRegistry, apply_sweep, parse_sweep + + +# --------------------------------------------------------------------------- +# 成本模型 +# --------------------------------------------------------------------------- + + +@pytest.fixture +def cost() -> CostModel: + return CostModel(load_config("cost")) + + +def test_commission_has_minimum(cost: CostModel) -> None: + """小额成交必须触发最低佣金 5 元。""" + c, s, t = cost.fees(1000.0, "BUY") + assert c == pytest.approx(5.0), "1000 × 0.025% = 0.25 元，应被最低佣金托底" + assert s == 0.0, "买入不收印花税" + assert t == pytest.approx(1000.0 * 0.00001) + + +def test_large_commission_uses_rate(cost: CostModel) -> None: + c, _, _ = cost.fees(1_000_000.0, "BUY") + assert c == pytest.approx(250.0) + + +def test_stamp_duty_sell_only(cost: CostModel) -> None: + _, s_buy, _ = cost.fees(1_000_000.0, "BUY") + _, s_sell, _ = cost.fees(1_000_000.0, "SELL") + assert s_buy == 0.0 + assert s_sell == pytest.approx(500.0) + + +def test_slippage_direction(cost: CostModel) -> None: + """买入价上滑、卖出价下滑 —— 方向反了会凭空产生收益。""" + assert cost.slip(100.0, "BUY") > 100.0 + assert cost.slip(100.0, "SELL") < 100.0 + assert cost.slip(100.0, "BUY") == pytest.approx(100.1) # 10bps + + +def test_slippage_modes() -> None: + cfg = CostConfig.model_validate( + {"version": 1, "slippage": {"mode": "fixed", "value": 0.02}} + ) + assert CostModel(cfg).slip(100.0, "BUY") == pytest.approx(100.02) + cfg2 = CostConfig.model_validate( + {"version": 1, "slippage": {"mode": "tick", "value": 2}} + ) + assert CostModel(cfg2).slip(100.0, "BUY") == pytest.approx(100.02) + + +def test_dividend_tax_by_holding_period(cost: CostModel) -> None: + """plan.md §30：持股越久税率越低，超过 1 年免税。""" + assert cost.dividend_tax_rate(10) == pytest.approx(0.20) + assert cost.dividend_tax_rate(100) == pytest.approx(0.10) + assert cost.dividend_tax_rate(400) == pytest.approx(0.00) + + +# --------------------------------------------------------------------------- +# A 股交易规则 +# --------------------------------------------------------------------------- + + +def test_round_lot_is_100_shares() -> None: + assert _round_lot(150) == 100 + assert _round_lot(99) == 0 + assert _round_lot(1000) == 1000 + assert _round_lot(-5) == 0 + + +def test_months_between() -> None: + assert _months_between(date(2024, 1, 15), date(2024, 1, 30)) == 0 + assert _months_between(date(2024, 1, 15), date(2024, 2, 1)) == 1 + assert _months_between(date(2023, 12, 1), date(2024, 12, 1)) == 12 + + +# --------------------------------------------------------------------------- +# 资金对账（P4 硬验收） +# --------------------------------------------------------------------------- + + +class _T: + def __init__(self, side: str, amount: float, fee: float) -> None: + self.side = side + self.amount = amount + self.total_cost = fee + + +def test_reconcile_balanced() -> None: + eq = pd.DataFrame({"cash": [1000.0, 300.0, 550.0]}) + trades = [_T("BUY", 700.0, 5.0), _T("SELL", 300.0, 3.0)] + # 1000 - 700 - 5 - 3 + 300 + 分红 0 = 592? + # 实际：1000 - 700 - 5(买佣) - 3(卖佣) + 300 = 592；现金应为 592 + eq = pd.DataFrame({"cash": [592.0]}) + rc = reconcile(eq, trades, total_dividend_net=0.0, initial_capital=1000.0) + assert rc["balanced"] is True + assert rc["residual"] == pytest.approx(0.0) + + +def test_reconcile_detects_missing_dividend() -> None: + eq = pd.DataFrame({"cash": [700.0]}) + trades = [_T("BUY", 300.0, 0.0)] + rc = reconcile(eq, trades, total_dividend_net=0.0, initial_capital=1000.0) + # 期望现金 700，实际 700 → 平衡 + assert rc["balanced"] is True + # 若真实有 50 元分红但没记账，现金会多出 50 → 应被检出 + rc2 = reconcile(eq, trades, total_dividend_net=50.0, initial_capital=1000.0) + assert rc2["balanced"] is False + assert rc2["residual"] == pytest.approx(-50.0) + + +def test_reconcile_does_not_include_position_value() -> None: + """买入的股票仍在账上，其市值不是现金口径的误差。""" + eq = pd.DataFrame({"cash": [200.0]}) + trades = [_T("BUY", 800.0, 0.0)] + rc = reconcile(eq, trades, 0.0, 1000.0) + assert rc["balanced"] is True, "1000 − 800 = 200，持仓市值不应进入残差" + + +# --------------------------------------------------------------------------- +# 目标仓位阶梯（防「分批建仓/减仓互相冲突」） +# --------------------------------------------------------------------------- + + +@pytest.fixture +def engine(): + from hdiv.backtest.engine import BacktestEngine + + return BacktestEngine.from_strategy("config/strategy/high_dividend_v1.yml") + + +def test_target_weight_ladder(engine) -> None: + """plan.md §19 的建仓阶梯 + §18 的减仓阶梯，必须合成单一函数。""" + assert engine._target_weight(95) == pytest.approx(1.00) + assert engine._target_weight(88) == pytest.approx(0.75) + assert engine._target_weight(82) == pytest.approx(0.50) + assert engine._target_weight(76) == pytest.approx(0.25) + assert engine._target_weight(45) == pytest.approx(0.50) + assert engine._target_weight(30) == pytest.approx(0.50) + assert engine._target_weight(10) == pytest.approx(0.00) + + +def test_target_weight_has_dead_zone(engine) -> None: + """死区必须存在 —— 否则分位抖动会导致高频无效交易（原实现年换手 8.9）。""" + for pct in (51, 60, 70, 74.9): + assert engine._target_weight(pct) is None, f"分位 {pct} 应落在死区" + + +def test_target_weight_is_monotonic_on_entry_side(engine) -> None: + """买入侧：分位越高仓位越重（单调不减）。""" + vals = [engine._target_weight(p) for p in (75, 80, 85, 90)] + assert all(v is not None for v in vals) + assert vals == sorted(vals) + + +def test_target_weight_is_monotonic_on_exit_side(engine) -> None: + """卖出侧：分位越低仓位越轻（单调不减）。""" + vals = [engine._target_weight(p) for p in (10, 25, 40, 50)] + assert all(v is not None for v in vals) + assert vals == sorted(vals) + + +def test_held_position_at_high_percentile_is_not_trimmed(engine) -> None: + """已持仓且分位很高时不应被误判为减仓 —— 这是原实现的真实 bug。""" + assert engine._target_weight(92) == pytest.approx(1.0) + + +# --------------------------------------------------------------------------- +# 参数扫描的耦合处理 +# --------------------------------------------------------------------------- + + +def test_parse_sweep() -> None: + g = parse_sweep("entry.yield_percentile=70,75,80") + assert g == {"entry.yield_percentile": [70, 75, 80]} + g2 = parse_sweep("a.b=1,2;c.d=x,y") + assert g2 == {"a.b": [1, 2], "c.d": ["x", "y"]} + + +def test_parse_sweep_rejects_bad_format() -> None: + from hdiv.core.errors import SchemaValidationError + + with pytest.raises(SchemaValidationError): + parse_sweep("entry.yield_percentile") + + +def test_apply_sweep_shifts_ladder_shape() -> None: + """扫描 entry.yield_percentile 时必须整体平移 scale_in，而非只改首档。""" + r = StrategyRegistry() + s = r.load("config/strategy/high_dividend_v1.yml") + original_weights = [st.weight for st in s.entry.scale_in] + for p in (65, 70, 80, 90, 95): + x = apply_sweep(s, {"entry.yield_percentile": p}) + ladder = [st.percentile for st in x.entry.scale_in] + assert x.entry.yield_percentile == pytest.approx(ladder[0]) + assert ladder == sorted(set(ladder)), f"P{p} 的阶梯必须严格升序：{ladder}" + assert max(ladder) <= 100, f"P{p} 的阶梯越界：{ladder}" + # 权重形状必须保持 + assert [st.weight for st in x.entry.scale_in] == original_weights + + +def test_apply_sweep_exit_coupling() -> None: + r = StrategyRegistry() + s = r.load("config/strategy/high_dividend_v1.yml") + x = apply_sweep(s, {"exit.yield_percentile": 30}) + assert x.exit.yield_percentile == pytest.approx(30) + assert x.exit.scale_out[-1].percentile == pytest.approx(30) + + +def test_apply_sweep_unknown_path() -> None: + from hdiv.core.errors import SchemaValidationError + + r = StrategyRegistry() + s = r.load("config/strategy/high_dividend_v1.yml") + with pytest.raises(SchemaValidationError): + apply_sweep(s, {"entry.not_a_field": 1}) + + +# --------------------------------------------------------------------------- +# 敏感性判读 +# --------------------------------------------------------------------------- + + +def test_sensitivity_analysis_flags_spike() -> None: + """plan.md §27 的尖峰情形必须被识别为疑似过拟合。""" + from hdiv.analysis.sensitivity import SensitivityRunner + + points = [ + {"cagr": 0.13, "max_drawdown": -0.2}, + {"cagr": 0.135, "max_drawdown": -0.2}, + {"cagr": 0.20, "max_drawdown": -0.2}, + {"cagr": 0.132, "max_drawdown": -0.2}, + {"cagr": 0.128, "max_drawdown": -0.2}, + ] + a = SensitivityRunner._analyse(points, {"entry.yield_percentile": [75]}) + assert a["spikes"], "P80 的 20% 相对邻居是明显尖峰，必须被检出" + assert a["robust"] is False + assert "过拟合" in a["verdict"] + + +def test_sensitivity_analysis_accepts_smooth_curve() -> None: + """plan.md §27 的平滑情形应被判定为对参数不敏感。""" + from hdiv.analysis.sensitivity import SensitivityRunner + + points = [{"cagr": c, "max_drawdown": -0.2} for c in (0.13, 0.133, 0.135, 0.132, 0.130)] + a = SensitivityRunner._analyse(points, {"entry.yield_percentile": [75]}) + assert not a["spikes"] + assert a["smoothness"] > 0.6 + assert a["robust"] is True + assert "不敏感" in a["verdict"] + + +# --------------------------------------------------------------------------- +# Walk-forward 窗口 +# --------------------------------------------------------------------------- + + +def test_walk_forward_windows_are_disjoint_and_ordered() -> None: + w = WalkForwardRunner() + wins = w.windows() + assert wins, "应至少切出一个窗口" + for a, b in zip(wins, wins[1:], strict=False): + assert a.test_end < b.test_start, "测试区间不得重叠" + assert a.test_start > a.train_end, "测试必须晚于训练" + for x in wins: + assert x.train_start < x.train_end < x.test_start <= x.test_end + + +def test_walk_forward_freeze_is_enforced_by_config() -> None: + """plan.md §25：测试阶段禁止重新调参 —— 配置层必须拒绝关闭该开关。""" + cfg = load_config("backtest") + assert cfg.walk_forward.freeze_params_in_test is True + + +def test_add_months_and_years() -> None: + assert _add_months(date(2024, 1, 31), 1) == date(2024, 2, 29), "闰年 2 月" + assert _add_months(date(2023, 1, 31), 1) == date(2023, 2, 28) + assert _add_months(date(2024, 12, 15), 1) == date(2025, 1, 15) + assert _add_years(date(2020, 2, 29), 1) == date(2021, 2, 28) + + +# --------------------------------------------------------------------------- +# 引擎端到端（小样本，含数据时执行） +# --------------------------------------------------------------------------- + + +@pytest.mark.db +def test_engine_end_to_end_reconciliation() -> None: + """完整跑一段回测并验证资金对账必须平衡。""" + from hdiv.backtest.engine import BacktestEngine + + db_ok = True + try: + from hdiv.data import db as _db + + _db.load_dotenv_once() + _db.list_tables(load_config("datasource")) + except Exception: + db_ok = False + if not db_ok: + pytest.skip("数据库不可用") + + engine = BacktestEngine.from_strategy("config/strategy/high_dividend_v1.yml") + res = engine.run(start=date(2023, 1, 1), end=date(2024, 6, 28), persist=False, verbose=False) + rc = res["reconciliation"] + assert rc["balanced"], f"资金对账不平，残差 {rc['residual']}" + assert res["equity"]["nav"].iloc[0] == pytest.approx(1.0) + + eq = res["equity"] + # 净值必须等于 总市值 / 期初资金 + assert (eq["nav"] - eq["total_value"] / res["initial_capital"]).abs().max() < 1e-9 + # 总市值必须等于 现金 + 持仓 + assert (eq["total_value"] - (eq["cash"] + eq["position_value"])).abs().max() < 1e-6 + # 回撤不得为正 + assert eq["drawdown"].max() <= 1e-9 + + +@pytest.mark.db +def test_engine_uses_next_open_no_lookahead() -> None: + """成交日必须晚于信号日（plan.md §6 无未来函数）。""" + from hdiv.backtest.engine import BacktestEngine + + try: + from hdiv.data import db as _db + + _db.load_dotenv_once() + _db.list_tables(load_config("datasource")) + except Exception: + pytest.skip("数据库不可用") + + engine = BacktestEngine.from_strategy("config/strategy/high_dividend_v1.yml") + res = engine.run(start=date(2023, 1, 1), end=date(2024, 6, 28), persist=False, verbose=False) + for t in res["trades"]: + assert t.execution_date > t.signal_date, ( + f"{t.symbol} 成交日 {t.execution_date} 未晚于信号日 {t.signal_date}" + ) + + +@pytest.mark.db +def test_engine_dividends_are_creditable() -> None: + """持有期间应确实收到现金分红（高股息策略的核心收益来源）。""" + from hdiv.backtest.engine import BacktestEngine + + try: + from hdiv.data import db as _db + + _db.load_dotenv_once() + _db.list_tables(load_config("datasource")) + except Exception: + pytest.skip("数据库不可用") + + engine = BacktestEngine.from_strategy("config/strategy/high_dividend_v1.yml") + res = engine.run(start=date(2021, 1, 1), end=date(2024, 6, 28), persist=False, verbose=False) + assert res["total_dividend_net"] > 0, "高股息策略在 3.5 年里不可能没有现金分红" + d = res["dividends"] + assert not d.empty + assert (d["net"] <= d["gross"] + 1e-9).all(), "税后不得大于税前" + assert (d["tax"] >= 0).all() + + +@pytest.mark.db +def test_engine_pit_discipline_reference_window(engine) -> None: + """rolling 参照窗口必须完全落在评估日之前（无未来函数）。""" + for day in (date(2022, 6, 30), date(2024, 1, 15)): + ref = engine._reference_window(day) + assert ref is not None + assert ref[1] == day, "参照窗口右端必须是评估日本身" + assert ref[0] < day + assert engine._reference_mode() == "rolling" + + +def test_frozen_reference_overrides_rolling() -> None: + """frozen 模式下必须使用冻结窗口，不得回退到滚动窗口。""" + from hdiv.backtest.engine import BacktestEngine + + s = StrategyRegistry().load("config/strategy/high_dividend_v1.yml") + frozen = (date(2015, 1, 1), date(2019, 12, 31)) + e = BacktestEngine(s, frozen_reference=frozen) + assert e._reference_window(date(2021, 6, 30)) == frozen + assert e._reference_mode() == "frozen" + + +def test_reference_window_end_is_evaluation_day() -> None: + """rolling 窗口的右边界必须是评估日 —— 否则会用未来数据。""" + from hdiv.backtest.engine import BacktestEngine + + s = StrategyRegistry().load("config/strategy/high_dividend_v1.yml") + e = BacktestEngine(s) + day = date(2023, 5, 10) + lo, hi = e._reference_window(day) + assert hi == day + assert (day - lo).days == int(365.25 * e.bt_cfg.percentile_reference.lookback_years) + + +# --------------------------------------------------------------------------- +# 绩效指标 +# --------------------------------------------------------------------------- + + +def test_compute_metrics_flags_insufficient_data() -> None: + from hdiv.analysis.performance import compute_metrics + + m = compute_metrics(pd.DataFrame(), [], load_config("backtest"), "r1") + assert m == {}, "空曲线不应编造指标" + + eq = pd.DataFrame({ + "trade_date": [date(2024, 1, 2)], + "total_value": [1_000_000.0], + "daily_return": [0.0], + "drawdown": [0.0], + "cash": [1_000_000.0], + "position_value": [0.0], + }) + m2 = compute_metrics(eq, [], load_config("backtest"), "r2") + assert m2["total_return"] == pytest.approx(0.0) + assert m2["max_drawdown"] == pytest.approx(0.0) + + +def test_metrics_do_not_invent_values() -> None: + """样本不足时 Sharpe 必须为 None，而不是 0。""" + from hdiv.analysis.performance import compute_metrics + + eq = pd.DataFrame({ + "trade_date": [date(2024, 1, 2), date(2024, 1, 3)], + "total_value": [1_000_000.0, 1_010_000.0], + "daily_return": [0.0, 0.01], + "drawdown": [0.0, 0.0], + "cash": [0.0, 0.0], + "position_value": [1_000_000.0, 1_010_000.0], + }) + m = compute_metrics(eq, [], load_config("backtest"), "r3") + assert m["sharpe"] is None, "1 个观测算不出波动率，Sharpe 必须是 None" diff --git a/tests/test_cli_contract.py b/tests/test_cli_contract.py new file mode 100644 index 0000000..b93e951 --- /dev/null +++ b/tests/test_cli_contract.py @@ -0,0 +1,303 @@ +"""CLI 接口契约测试。 + +**为什么需要**：使用手册（``docs/user-guide.md``）里的命令就是用户看到的接口。 +文档与实现脱节是极易发生且很难察觉的问题 —— 实测发现手册记载的 +``hdiv sync financial --interleaved`` 在 CLI 中根本没有暴露， +而 ``hdiv ddl verify`` 的输出格式也与手册不符。 + +本测试把「手册承诺的接口」变成可执行断言： +只要有人删掉一个参数或改掉命令名，测试立刻失败。 +""" + +from __future__ import annotations + +import pytest + +from hdiv.cli import build_parser + + +@pytest.fixture(scope="module") +def parser(): + return build_parser() + + +def _subparsers(p): + """取子命令表。同时支持两种声明方式： + + - ``add_subparsers()`` → choices 是 dict（sync/universe/...） + - ``add_argument("action", choices=[...])`` → choices 是 list（ddl/report/strategy） + """ + for action in p._actions: + ch = getattr(action, "choices", None) + if not ch: + continue + if isinstance(ch, dict): + return ch + raise AssertionError("未找到子命令") + + +def _action_choices(p) -> set[str]: + """取位置参数（如 ddl 的 plan/apply/verify）的取值集合。""" + for action in p._actions: + ch = getattr(action, "choices", None) + if isinstance(ch, (list, tuple, set)) and not action.option_strings: + return set(ch) + return set() + + +def _opts(p) -> set[str]: + out: set[str] = set() + for a in p._actions: + out.update(a.option_strings) + return out + + +# --------------------------------------------------------------------------- +# 手册记载的顶层命令必须全部存在 +# --------------------------------------------------------------------------- + +DOCUMENTED_COMMANDS = [ + "ddl", "sync", "audit", "report", "universe", + "profile", "strategy", "backtest", "sensitivity", + "web", "site", +] + + +def test_all_documented_commands_exist(parser) -> None: + subs = _subparsers(parser) + missing = [c for c in DOCUMENTED_COMMANDS if c not in subs] + assert not missing, f"手册记载但 CLI 不存在的命令：{missing}" + + +def test_no_undocumented_commands(parser) -> None: + """反向检查：CLI 不应有手册未提及的命令。""" + subs = set(_subparsers(parser)) + extra = subs - set(DOCUMENTED_COMMANDS) + assert not extra, f"CLI 存在手册未记载的命令：{sorted(extra)}" + + +# --------------------------------------------------------------------------- +# 手册记载的动作/参数必须存在 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "cmd,expected", + [ + ("ddl", {"plan", "apply", "verify"}), + ("report", {"index", "validate"}), + ("strategy", {"validate", "register", "list", "diff"}), + ( + "sync", + {"dividend", "financial", "index", "price", "trading", "backfill"}, + ), + ("site", {"normalize", "archive", "build", "status"}), + ], +) +def test_documented_actions_exist(parser, cmd: str, expected: set[str]) -> None: + sub = _subparsers(parser)[cmd] + actual = _action_choices(sub) + if not actual: # 用 add_subparsers 声明的命令 + actual = set(_subparsers(sub)) + missing = expected - actual + assert not missing, f"hdiv {cmd} 缺少手册记载的动作：{sorted(missing)}" + + +@pytest.mark.parametrize( + "cmd,flags", + [ + ("sync", {"--only-missing", "--limit", "--symbols", "--apis", + "--interleaved", "--start", "--end", "--no-resume", "--no-weight"}), + ("universe", {"-c", "--config", "--asof", "--no-persist", "--no-html"}), + ("profile", {"--universe-run", "--symbols", "--asof", "--html-limit"}), + ("backtest", {"-s", "--strategy", "--mode", "--start", "--end", "--universe-run"}), + ("sensitivity", {"-s", "--strategy", "--sweep"}), + ("strategy", {"-f", "--file", "--other"}), + ("audit", {"--no-persist", "--no-html"}), + ("report", {"--dir"}), + ("web", {"--host", "--port", "--api-only", "--out-dir"}), + ], +) +def test_documented_flags_exist(parser, cmd: str, flags: set[str]) -> None: + sub = _subparsers(parser)[cmd] + have = _opts(sub) + missing = flags - have + assert not missing, f"hdiv {cmd} 缺少手册记载的参数：{sorted(missing)}" + + +def test_sync_interleaved_is_a_real_flag(parser) -> None: + """回归：手册要求 ``hdiv sync financial --interleaved``，CLI 必须真的支持。""" + sub = _subparsers(parser)["sync"] + assert "--interleaved" in _opts(sub) + # 且必须真的能解析（不只是声明） + args = parser.parse_args(["sync", "financial", "--interleaved"]) + assert args.interleaved is True + args2 = parser.parse_args(["sync", "financial"]) + assert args2.interleaved is False + + +def test_backtest_universe_run_flag(parser) -> None: + """股票池 ↔ 回测 的关联入口：``--universe-run`` 必须存在且可解析。""" + args = parser.parse_args(["backtest", "--universe-run", "abc123"]) + assert args.universe_run == "abc123" + args2 = parser.parse_args(["backtest"]) + assert args2.universe_run is None + + +@pytest.mark.db +def test_frozen_universe_is_used_when_run_id_given() -> None: + """指定 --universe-run 时引擎必须使用该股票池，而不是重新筛选。""" + from datetime import date + + from hdiv.backtest.engine import BacktestEngine + from hdiv.core.config import load_config + from hdiv.data import db + + db.load_dotenv_once() + try: + cfg = load_config("datasource") + df = db.read_sql( + "SELECT run_id FROM hd_universe_run WHERE deleted_at IS NULL " + "ORDER BY created_at DESC LIMIT 1", cfg=cfg, + ) + if df.empty: + pytest.skip("没有筛选记录") + rid = df["run_id"].iloc[0] + except Exception as exc: + pytest.skip(f"数据库不可用：{exc}") + + eng = BacktestEngine.from_strategy( + "config/strategy/high_dividend_v1.yml", universe_run_id=rid + ) + assert eng.universe_run_id == rid + ctx = eng._prepare(eng.repo.trading_days(date(2024, 1, 1), date(2024, 6, 28)), + verbose=False) + sets = list(ctx["universe_by_refresh"].values()) + assert sets, "应产生股票池" + assert all(x == sets[0] for x in sets), "冻结股票池在各调仓日必须完全相同" + + +def test_backtest_mode_choices(parser) -> None: + """手册只承诺 single / walkforward 两种模式。""" + sub = _subparsers(parser)["backtest"] + for a in sub._actions: + if "--mode" in a.option_strings: + assert set(a.choices) == {"single", "walkforward"} + return + raise AssertionError("backtest 缺少 --mode 参数") + + +def test_price_which_choices(parser) -> None: + sub = _subparsers(parser)["sync"] + for a in sub._actions: + if "--which" in a.option_strings: + assert set(a.choices) == {"daily", "adj_factor", "daily_basic"} + return + raise AssertionError("sync 缺少 --which 参数") + + +# --------------------------------------------------------------------------- +# 手册记载的输出格式 +# --------------------------------------------------------------------------- + + +def test_ddl_verify_output_mentions_table_count() -> None: + """手册写的是「OK：30 张 hd_* 表结构全部符合 schema 定义」，输出须含数量。""" + import inspect + + from hdiv import cli + from hdiv.data.schema import ALL_TABLES + + src = inspect.getsource(cli.cmd_ddl) + assert "len(ddl.ALL_TABLES)" in src, "ddl verify 输出应包含表的数量" + assert len(ALL_TABLES) == 30 + + +def test_help_text_is_chinese(parser) -> None: + """手册面向中文用户，所有命令都应有中文说明。""" + subs = _subparsers(parser) + for name in DOCUMENTED_COMMANDS: + assert subs[name].description, f"hdiv {name} 缺少说明文字" + + +# --------------------------------------------------------------------------- +# 手册文件本身 +# --------------------------------------------------------------------------- + + +def test_user_guide_exists_and_covers_all_commands() -> None: + from hdiv.core.paths import project_root + + guide = project_root() / "docs" / "user-guide.md" + assert guide.is_file(), "缺少使用手册 docs/user-guide.md" + text = guide.read_text(encoding="utf-8") + for cmd in DOCUMENTED_COMMANDS: + assert f"hdiv {cmd}" in text, f"手册未记载命令：hdiv {cmd}" + # 手册必须如实记录已知限制与部署要求（这两点最容易在文档里被淡化） + assert "已知限制" in text + assert "echarts.min.js" in text, "手册必须说明图表库的部署依赖" + assert "asset_mode" in text, "手册必须说明自包含模式的开关" + # 前后端分离的部署要点必须在手册里 + assert "/api" in text, "手册必须说明 API 反代" + assert "nginx" in text, "手册必须给出 nginx 配置指引" + + +# --------------------------------------------------------------------------- +# 参数组合与错误呈现 +# --------------------------------------------------------------------------- + + +# 只有这三个命令同时具备 --no-persist 与 --html（audit 传内存结果，两者可共存） +@pytest.mark.parametrize("cmd", ["universe", "backtest"]) +def test_no_persist_with_html_is_rejected_clearly(cmd: str) -> None: + """回归：--no-persist 与 --html 互相矛盾，必须给出可操作提示。 + + 静态报告只从数据库读取（保证数字可追溯到 SQL），未落库的运行渲染不出来。 + 早期实现会崩在报告生成器的 ValueError 里，用户看不出是参数冲突。 + """ + import subprocess + import sys + + r = subprocess.run( + [sys.executable, "-m", "hdiv", cmd, "--no-persist", "--html"], + capture_output=True, text=True, env={**__import__("os").environ, "PYTHONPATH": "src"}, + ) + assert r.returncode == 1 + out = r.stdout + r.stderr + assert "--no-persist 与 --html 不能同时使用" in out, out[:400] + # 必须是友好提示，而不是 traceback + assert "Traceback" not in out, "用户可理解的错误不应打印调用栈" + + +def test_audit_can_combine_no_persist_and_html() -> None: + """audit 传的是内存结果而非按 run_id 读库，因此两者可以共存。""" + import inspect + + from hdiv import cli + + src = inspect.getsource(cli.cmd_audit) + assert "_reject_no_persist_with_html" not in src, \ + "audit 不需拦截该组合（报告用内存 summary 渲染）" + + +def test_hdiv_error_is_caught_without_traceback() -> None: + """main() 应优雅处理 HdivError（数据缺失/配置冲突等），不打印调用栈。""" + import inspect + + from hdiv import cli + + src = inspect.getsource(cli.main) + assert "except HdivError" in src, "main() 未捕获 HdivError" + branch = src.split("except HdivError")[1] + assert "print_exc" not in branch, "HdivError 分支不应打印调用栈" + assert "return 1" in branch, "应返回非零退出码" + + +def test_html_flag_exists_on_all_report_producing_commands() -> None: + """所有会产出报告的命令都应有 --html 开关且默认关闭。""" + from hdiv.cli import build_parser + + p = build_parser() + for cmd in ("universe", "profile", "backtest", "audit", "sensitivity"): + args = p.parse_args([cmd]) + assert getattr(args, "html", None) is False, f"hdiv {cmd} --html 默认应为 False" diff --git a/tests/test_config.py b/tests/test_config.py new file mode 100644 index 0000000..4248cd2 --- /dev/null +++ b/tests/test_config.py @@ -0,0 +1,261 @@ +"""配置加载与严格校验测试（对应 development-plan.md P3 验收：非法配置 100% 被拒）。""" + +from __future__ import annotations + +import copy + +import pytest +import yaml + +from hdiv.core.config import ( + config_hash, + load_all, + load_config, + resolve_strategy_path, +) +from hdiv.core.errors import ConfigError, ConfigNotFound +from hdiv.core.paths import config_dir + + +# --------------------------------------------------------------------------- +# 正向：全部配置文件可加载 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "name", ["datasource", "universe", "profile", "cost", "backtest", "report"] +) +def test_all_configs_load(name: str) -> None: + cfg = load_config(name) + assert cfg is not None + assert config_hash(cfg) + + +def test_load_all() -> None: + cfgs = load_all() + assert set(cfgs) == {"datasource", "universe", "profile", "cost", "backtest", "report"} + + +def test_strategy_config_loads() -> None: + s = load_config("strategy:high_dividend_v1.yml") + assert s.strategy.id == "HD_MR_V1" + assert s.entry.yield_percentile == 75 + assert s.exit.yield_percentile == 25 + # 参数扁平化用于 hd_strategy_param + pm = s.param_map() + assert pm["strategy.id"] == "HD_MR_V1" + assert pm["entry.yield_percentile"] == 75 + assert len(pm) > 20 + + +def test_strategy_path_resolution_variants() -> None: + names = [ + "high_dividend_v1.yml", + "strategy/high_dividend_v1.yml", + "config/strategy/high_dividend_v1.yml", + ] + paths = {resolve_strategy_path(n) for n in names} + assert len(paths) == 1 + assert paths.pop().is_file() + + +def test_resolve_strategy_path_missing() -> None: + with pytest.raises(ConfigNotFound): + resolve_strategy_path("不存在.yml") + + +# --------------------------------------------------------------------------- +# 反向：拼写错误必须报错（不静默取默认值） +# --------------------------------------------------------------------------- + + +def _load_modified(name: str, mutate) -> None: + """把配置改坏后写入临时文件并加载，断言抛错。""" + raw = yaml.safe_load((config_dir() / f"{name}.yml").read_text(encoding="utf-8")) + mutate(raw) + import tempfile + from pathlib import Path + + with tempfile.NamedTemporaryFile("w", suffix=".yml", delete=False, encoding="utf-8") as fh: + yaml.safe_dump(raw, fh, allow_unicode=True) + tmp = Path(fh.name) + try: + with pytest.raises(ConfigError): + load_config(name, path=tmp) + finally: + tmp.unlink(missing_ok=True) + + +def test_unknown_field_rejected() -> None: + _load_modified("universe", lambda r: r["market"].update({"min_market_capp": 1})) + + +def test_wrong_type_rejected() -> None: + _load_modified("universe", lambda r: r["market"].update({"min_listing_years": "十年"})) + + +def test_unknown_top_level_section_rejected() -> None: + _load_modified("universe", lambda r: r.update({"bogus_section": {"a": 1}})) + + +def test_bad_enum_rejected() -> None: + _load_modified("cost", lambda r: r["slippage"].update({"mode": "percentage"})) + + +def test_dividend_years_consistency_rejected() -> None: + def mutate(r: dict) -> None: + r["dividend"]["min_continuous_years"] = 10 + r["dividend"]["window_years"] = 6 + + _load_modified("universe", mutate) + + +def test_negative_capital_rejected() -> None: + _load_modified("backtest", lambda r: r["capital"].update({"initial": -1})) + + +def test_period_order_rejected() -> None: + _load_modified("backtest", lambda r: r["period"].update({"end": "2010-01-01"})) + + +def test_freeze_params_disabled_rejected() -> None: + """plan.md §25：测试阶段禁止重新调参 —— 关闭该开关必须被拒绝。""" + _load_modified( + "backtest", lambda r: r["walk_forward"].update({"freeze_params_in_test": False}) + ) + + +def test_duplicate_benchmark_rejected() -> None: + def mutate(r: dict) -> None: + r["benchmark"] = [ + {"code": "000300.SH", "name": "沪深300"}, + {"code": "000300.SH", "name": "重复"}, + ] + + _load_modified("backtest", mutate) + + +def test_profile_percentiles_must_be_sorted() -> None: + _load_modified("profile", lambda r: r.update({"percentiles": [90, 10, 50]})) + + +def test_profile_duplicate_metric_rejected() -> None: + _load_modified( + "profile", lambda r: r["metrics"].update({"valuation": ["pb", "pb"]}) + ) + + +def test_composite_weights_must_sum_to_one() -> None: + def mutate(r: dict) -> None: + r["safety_margin"]["mode"] = "composite" + r["safety_margin"]["weights"] = {"dividend_yield": 0.5, "valuation": 0.2} + + _load_modified("profile", mutate) + + +def test_datasource_readonly_writeoverlap_rejected() -> None: + def mutate(r: dict) -> None: + r["database"]["allow_write_tables"] = ["stock"] + + _load_modified("datasource", mutate) + + +# --------------------------------------------------------------------------- +# 策略语义校验 +# --------------------------------------------------------------------------- + + +def _load_strategy_mutated(mutate) -> None: + raw = yaml.safe_load( + (config_dir() / "strategy" / "high_dividend_v1.yml").read_text(encoding="utf-8") + ) + mutate(raw) + import tempfile + from pathlib import Path + + with tempfile.NamedTemporaryFile("w", suffix=".yml", delete=False, encoding="utf-8") as fh: + yaml.safe_dump(raw, fh, allow_unicode=True) + tmp = Path(fh.name) + try: + with pytest.raises(ConfigError): + load_config(f"strategy:{tmp}") + finally: + tmp.unlink(missing_ok=True) + + +def test_strategy_entry_must_exceed_exit() -> None: + _load_strategy_mutated(lambda r: r["entry"].update({"yield_percentile": 20})) + + +def test_strategy_entry_percentile_range() -> None: + _load_strategy_mutated(lambda r: r["entry"].update({"yield_percentile": 150})) + + +def test_strategy_scale_in_must_be_ascending() -> None: + def mutate(r: dict) -> None: + r["entry"]["scale_in"] = [ + {"percentile": 80, "weight": 0.25}, + {"percentile": 75, "weight": 0.50}, + ] + + _load_strategy_mutated(mutate) + + +def test_strategy_scale_out_must_descend() -> None: + def mutate(r: dict) -> None: + r["exit"]["scale_out"] = [ + {"percentile": 25, "weight": 0.50}, + {"percentile": 50, "weight": 0.00}, + ] + + _load_strategy_mutated(mutate) + + +def test_strategy_scale_out_last_must_be_zero() -> None: + def mutate(r: dict) -> None: + r["exit"]["scale_out"] = [ + {"percentile": 50, "weight": 0.50}, + {"percentile": 25, "weight": 0.30}, + ] + + _load_strategy_mutated(mutate) + + +def test_strategy_position_bounds() -> None: + _load_strategy_mutated(lambda r: r["position"].update({"max_position": 1.5})) + + +def test_strategy_bad_status() -> None: + _load_strategy_mutated(lambda r: r["strategy"].update({"status": "RUNNING"})) + + +# --------------------------------------------------------------------------- +# 可复现性：config_hash 稳定性 +# --------------------------------------------------------------------------- + + +def test_config_hash_is_stable_and_sensitive() -> None: + a = load_config("universe") + b = load_config("universe") + assert config_hash(a) == config_hash(b) + + raw = yaml.safe_load((config_dir() / "universe.yml").read_text(encoding="utf-8")) + changed = copy.deepcopy(raw) + changed["dividend"]["min_dividend_yield"] = 0.035 + assert config_hash(raw) != config_hash(changed) + + +def test_config_hash_ignores_key_order() -> None: + raw = yaml.safe_load((config_dir() / "universe.yml").read_text(encoding="utf-8")) + reordered = {k: raw[k] for k in reversed(list(raw))} + assert config_hash(raw) == config_hash(reordered) + + +def test_missing_config_raises() -> None: + with pytest.raises(ConfigNotFound): + load_config("universe", path="/nonexistent/nope.yml") + + +def test_unknown_config_name_raises() -> None: + with pytest.raises(ConfigError): + load_config("no_such_config") diff --git a/tests/test_safety.py b/tests/test_safety.py new file mode 100644 index 0000000..c3dd69f --- /dev/null +++ b/tests/test_safety.py @@ -0,0 +1,263 @@ +"""数据安全硬约束测试（对应 development-plan.md §7.2 / §10 纪律 1）。 + +这些测试是「禁止删除数据」「只写自有前缀」的**执行保证**， +不是靠自觉，而是靠断言。 +""" + +from __future__ import annotations + +import re +from pathlib import Path + +import pytest + +from hdiv.core.config import load_config +from hdiv.core.errors import SafetyViolation +from hdiv.core.paths import project_root +from hdiv.data.db import StatementGuard, classify_statement, split_statements + +CFG = load_config("datasource") + + +@pytest.fixture +def guard() -> StatementGuard: + return StatementGuard(CFG, allow_backfill=False) + + +# --------------------------------------------------------------------------- +# 语句分类 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "sql,verb", + [ + ("SELECT 1", "select"), + ("select * from stock", "select"), + ("WITH x AS (SELECT 1) SELECT * FROM x", "with"), + ("INSERT INTO hd_x VALUES (1)", "insert"), + ("insert ignore into hd_x values (1)", "insert"), + ("REPLACE INTO hd_x VALUES (1)", "replace"), + ("UPDATE hd_x SET a=1", "update"), + ("DELETE FROM hd_x", "delete"), + ("CREATE TABLE hd_x (a INT)", "create"), + ("ALTER TABLE hd_x ADD COLUMN b INT", "alter"), + ("DROP TABLE hd_x", "drop"), + ("TRUNCATE TABLE hd_x", "truncate"), + ("-- 注释\nSELECT 1", "select"), + ("/* 块注释 */ SELECT 1", "select"), + ], +) +def test_classify(sql: str, verb: str) -> None: + assert classify_statement(sql)[0] == verb + + +def test_split_statements() -> None: + assert split_statements("SELECT 1; SELECT 2;") == ["SELECT 1", "SELECT 2"] + assert split_statements("SELECT 1;;") == ["SELECT 1"] + + +def test_classify_extracts_table() -> None: + assert classify_statement("INSERT INTO `hd_dividend` (a) VALUES (1)")[1] == "hd_dividend" + assert classify_statement("UPDATE stock SET a=1")[1] == "stock" + assert classify_statement("DELETE FROM hd_x WHERE 1")[1] == "hd_x" + + +# --------------------------------------------------------------------------- +# 禁止删除：任何形式的 DELETE / DROP / TRUNCATE 都必须被拒 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "sql", + [ + "DELETE FROM stock", + "DELETE FROM stock WHERE symbol='000001.SZ'", + "delete from hd_dividend where id=1", + "TRUNCATE TABLE stock", + "TRUNCATE stock", + "DROP TABLE hd_x", + "DROP TABLE IF EXISTS hd_x", + "RENAME TABLE hd_x TO hd_y", + "DELETE FROM stock_daily", + "SELECT 1; DELETE FROM stock", + "UPDATE hd_x SET a=1; DROP TABLE hd_y", + ], +) +def test_delete_like_always_blocked(guard: StatementGuard, sql: str) -> None: + with pytest.raises(SafetyViolation): + guard.check_script(sql) + + +# --------------------------------------------------------------------------- +# 只读白名单：qlib 既有表不可被写 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "sql", + [ + "UPDATE stock SET name='x' WHERE symbol='000001.SZ'", + "INSERT INTO stock_daily (symbol) VALUES ('000001.SZ')", + "UPDATE daily_basic SET pe=1", + "INSERT INTO financial_indicator (symbol) VALUES ('x')", + "UPDATE trading_calendar SET is_open=0", + "UPDATE stock_name_history SET name='x'", + ], +) +def test_readonly_tables_blocked(guard: StatementGuard, sql: str) -> None: + with pytest.raises(SafetyViolation): + guard.check_script(sql) + + +@pytest.mark.parametrize( + "sql", + [ + "SELECT * FROM stock", + "SELECT * FROM stock_daily WHERE trade_date > '2020-01-01'", + "WITH d AS (SELECT * FROM daily_basic) SELECT COUNT(*) FROM d", + ], +) +def test_readonly_tables_readable(guard: StatementGuard, sql: str) -> None: + guard.check_script(sql) # 不应抛错 + + +# --------------------------------------------------------------------------- +# 自有前缀：只能写 hd_* 表 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "sql", + [ + "INSERT INTO hd_dividend (symbol) VALUES ('x')", + "UPDATE hd_strategy SET version='2'", + "REPLACE INTO hd_sync_log (job) VALUES ('x')", + ], +) +def test_own_prefix_writes_allowed(guard: StatementGuard, sql: str) -> None: + guard.check_script(sql) + + +@pytest.mark.parametrize( + "sql", + [ + "CREATE TABLE foo (a INT)", + "CREATE TABLE tmp_data (a INT)", + "ALTER TABLE stock_extra ADD COLUMN a INT", + "INSERT INTO random_table (a) VALUES (1)", + ], +) +def test_foreign_table_writes_blocked(guard: StatementGuard, sql: str) -> None: + with pytest.raises(SafetyViolation): + guard.check_script(sql) + + +def test_own_prefix_create_allowed(guard: StatementGuard) -> None: + guard.check_script("CREATE TABLE IF NOT EXISTS hd_new_table (id INT)") + + +# --------------------------------------------------------------------------- +# 禁触表 +# --------------------------------------------------------------------------- + + +def test_alembic_version_protected(guard: StatementGuard) -> None: + with pytest.raises(SafetyViolation): + guard.check_script("UPDATE alembic_version SET version_num='x'") + with pytest.raises(SafetyViolation): + guard.check_script("ALTER TABLE alembic_version ADD COLUMN a INT") + + +# --------------------------------------------------------------------------- +# 回补通道：默认关闭，显式开启后只允许白名单表 +# --------------------------------------------------------------------------- + + +def test_backfill_requires_explicit_optin() -> None: + g = StatementGuard(CFG, allow_backfill=False) + with pytest.raises(SafetyViolation): + g.check_script("INSERT INTO stock_daily (symbol) VALUES ('x')") + + +def test_backfill_allows_only_declared_tables() -> None: + g = StatementGuard(CFG, allow_backfill=True) + # 已声明的表放行 + g.check_script("INSERT IGNORE INTO stock_daily (symbol) VALUES ('x')") + g.check_script("INSERT IGNORE INTO daily_basic (symbol) VALUES ('x')") + # 未声明的表仍被拒 + with pytest.raises(SafetyViolation): + g.check_script("INSERT INTO financial_indicator (symbol) VALUES ('x')") + + +def test_backfill_still_forbids_delete() -> None: + g = StatementGuard(CFG, allow_backfill=True) + with pytest.raises(SafetyViolation): + g.check_script("DELETE FROM stock_daily") + + +def test_index_weight_is_writable() -> None: + """index_weight 是 qlib 的空表，经 allow_write_tables 允许纯新增填充。""" + g = StatementGuard(CFG, allow_backfill=False) + g.check_script("INSERT IGNORE INTO index_weight (index_code, trade_date, symbol) VALUES ('a','2020-01-01','b')") + + +# --------------------------------------------------------------------------- +# 源码级扫描：代码库里不得出现删除语句 +# --------------------------------------------------------------------------- + +_FORBIDDEN_PATTERNS = [ + (re.compile(r"\bDELETE\s+FROM\b", re.IGNORECASE), "DELETE FROM"), + (re.compile(r"\bTRUNCATE\s+TABLE\b", re.IGNORECASE), "TRUNCATE TABLE"), + (re.compile(r"\bDROP\s+TABLE\b", re.IGNORECASE), "DROP TABLE"), + (re.compile(r"\.delete\s*\(", re.IGNORECASE), "session.delete("), + (re.compile(r"\bDROP\s+INDEX\b(?!.*migrations)", re.IGNORECASE), "DROP INDEX"), +] + +# 允许出现这些词的文件（安全层自身、迁移定义、测试、文档） +_ALLOWED_FILES = { + "src/hdiv/data/db.py", + "src/hdiv/data/schema.py", + "src/hdiv/data/ddl.py", + "src/hdiv/data/audit.py", + "src/hdiv/data/sync/price.py", +} + + +def test_no_delete_statements_in_source() -> None: + root = project_root() / "src" + offenders: list[str] = [] + for py in root.rglob("*.py"): + rel = py.relative_to(project_root()).as_posix() + if rel in _ALLOWED_FILES: + continue + text = py.read_text(encoding="utf-8") + for pat, label in _FORBIDDEN_PATTERNS: + for m in pat.finditer(text): + line = text[: m.start()].count("\n") + 1 + offenders.append(f"{rel}:{line} 含 {label}") + assert not offenders, "源码中出现删除类语句：\n" + "\n".join(offenders) + + +def test_no_qlib_code_import() -> None: + """决策 D5：不 import qlib 项目代码，只共享数据库。""" + root = project_root() / "src" + bad: list[str] = [] + pattern = re.compile(r"^\s*(?:from|import)\s+(app\.|qlib\.)", re.MULTILINE) + for py in root.rglob("*.py"): + text = py.read_text(encoding="utf-8") + for m in pattern.finditer(text): + line = text[: m.start()].count("\n") + 1 + bad.append(f"{py.relative_to(project_root())}:{line}") + assert not bad, f"禁止 import qlib 项目代码：{bad}" + + +def test_guard_readonly_lists_are_configured() -> None: + """白名单/前缀必须在配置里显式声明，不能靠默认值。""" + db = CFG.database + assert db.own_prefix == "hd_" + assert "stock" in db.read_only_tables + assert "stock_daily" in db.read_only_tables + assert "alembic_version" in db.forbidden_tables + assert db.forbid_delete is True + assert Path(db.own_prefix) # 非空 diff --git a/tests/test_schema.py b/tests/test_schema.py new file mode 100644 index 0000000..c3e050b --- /dev/null +++ b/tests/test_schema.py @@ -0,0 +1,203 @@ +"""表结构与幂等性测试（对应 development-plan.md §7.2 硬约束）。 + +需要真实数据库的用例标记为 ``db``；纯结构校验的用例无需数据库。 +""" + +from __future__ import annotations + +import re + +import pytest + +from hdiv.core.config import load_config +from hdiv.core.errors import SafetyViolation +from hdiv.data.schema import ALL_TABLES, TABLE_NAMES + +CFG = load_config("datasource") + +# 需要库的表清单（无库时跳过） +_PLAIN_TESTS_NEED_DB = pytest.mark.db + + +# --------------------------------------------------------------------------- +# 纯结构校验（无需数据库） +# --------------------------------------------------------------------------- + + +def test_table_count() -> None: + assert len(ALL_TABLES) == 30 + assert len(set(TABLE_NAMES)) == 30 + + +def test_all_tables_use_own_prefix() -> None: + bad = [t.name for t in ALL_TABLES if not t.name.startswith(CFG.database.own_prefix)] + assert not bad, f"以下表未使用自有前缀：{bad}" + + +def test_ddl_never_contains_destructive_statements() -> None: + destructive = re.compile(r"\b(DROP|TRUNCATE|DELETE)\b", re.IGNORECASE) + for t in ALL_TABLES: + assert not destructive.search(t.ddl), f"{t.name} 的 DDL 含破坏性语句" + for m in t.migrations: + assert not re.search(r"\b(DROP\s+TABLE|TRUNCATE|DELETE)\b", m.sql, re.IGNORECASE), ( + f"{t.name} 迁移 {m.name} 含破坏性语句：{m.sql}" + ) + + +def test_create_statements_are_idempotent() -> None: + for t in ALL_TABLES: + assert "CREATE TABLE IF NOT EXISTS" in t.ddl, f"{t.name} 未使用 IF NOT EXISTS" + + +def test_every_table_has_primary_key() -> None: + for t in ALL_TABLES: + assert "PRIMARY KEY" in t.ddl, f"{t.name} 缺少主键" + + +def test_tables_have_comment() -> None: + for t in ALL_TABLES: + assert t.comment, f"{t.name} 缺少注释" + assert "COMMENT='" in t.ddl or 'COMMENT="' in t.ddl, f"{t.name} 的 DDL 缺少表注释" + + +def test_no_nullable_column_in_unique_key() -> None: + """MySQL 唯一约束不约束 NULL —— 参与唯一键的列必须 NOT NULL。 + + 唯一例外是显式构造的 dedup_key（本身 NOT NULL）。 + """ + problems: list[str] = [] + for t in ALL_TABLES: + for m in re.finditer(r"UNIQUE KEY `\w+` \(([^)]+)\)", t.ddl): + cols = [c.strip().strip("`") for c in m.group(1).split(",")] + for col in cols: + # 找到该列的定义行 + pat = re.compile(rf"^\s*`{re.escape(col)}`\s+([A-Za-z]+(?:\([^)]*\))?)(.*)$", re.M) + mm = pat.search(t.ddl) + if not mm: + problems.append(f"{t.name}.{col} 未找到列定义") + continue + rest = mm.group(2) + if "NOT NULL" not in rest: + problems.append( + f"{t.name}.{col} 可空却参与唯一键 —— NULL 会绕过唯一约束造成重复" + ) + assert not problems, "\n".join(problems) + + +def test_character_set_is_utf8mb4() -> None: + for t in ALL_TABLES: + assert "utf8mb4" in t.ddl, f"{t.name} 未使用 utf8mb4" + + +def test_engine_is_innodb() -> None: + for t in ALL_TABLES: + assert "InnoDB" in t.ddl, f"{t.name} 未使用 InnoDB" + + +def test_migration_names_are_unique_within_table() -> None: + for t in ALL_TABLES: + names = [m.name for m in t.migrations] + assert len(names) == len(set(names)), f"{t.name} 迁移名重复：{names}" + + +def test_migrations_do_not_add_dropped_tables() -> None: + """迁移只允许 ADD/MODIFY，不允许改表名或删列。""" + for t in ALL_TABLES: + for m in t.migrations: + assert not re.search(r"\bDROP\s+COLUMN\b", m.sql, re.IGNORECASE), m.sql + assert not re.search(r"\bRENAME\b", m.sql, re.IGNORECASE), m.sql + + +def test_own_prefix_guard_rejects_foreign_table() -> None: + from hdiv.data.ddl import _assert_own_prefix + + with pytest.raises(SafetyViolation): + _assert_own_prefix(CFG, "stock") + with pytest.raises(SafetyViolation): + _assert_own_prefix(CFG, "hd_ok") if False else _assert_own_prefix(CFG, "alembic_version") + + +def test_own_prefix_guard_accepts_own_table() -> None: + from hdiv.data.ddl import _assert_own_prefix + + _assert_own_prefix(CFG, "hd_dividend") # 不应抛错 + + +# --------------------------------------------------------------------------- +# 需要数据库 +# --------------------------------------------------------------------------- + + +@_PLAIN_TESTS_NEED_DB +def test_ddl_plan_is_idempotent_on_live_db() -> None: + """连续两次 plan 都应返回 0 个动作（结构已就绪且迁移已应用）。""" + pytest.importorskip("pymysql") + from hdiv.data import ddl, db + + db.load_dotenv_once() + try: + db.list_tables(CFG) + except Exception as exc: # pragma: no cover - 环境相关 + pytest.skip(f"数据库不可用：{exc}") + + actions = ddl.plan(CFG) + assert actions == [], f"结构未收敛，仍待执行：{[(a.kind, a.table, a.detail) for a in actions]}" + + +@_PLAIN_TESTS_NEED_DB +def test_all_declared_tables_exist() -> None: + pytest.importorskip("pymysql") + from hdiv.data import db + + db.load_dotenv_once() + try: + existing = set(db.list_tables(CFG)) + except Exception as exc: # pragma: no cover + pytest.skip(f"数据库不可用：{exc}") + missing = [t for t in TABLE_NAMES if t not in existing] + assert not missing, f"库中缺表：{missing}" + + +@_PLAIN_TESTS_NEED_DB +def test_verify_reports_no_problems() -> None: + pytest.importorskip("pymysql") + from hdiv.data import db, ddl + + db.load_dotenv_once() + try: + problems = ddl.verify(CFG) + except Exception as exc: # pragma: no cover + pytest.skip(f"数据库不可用：{exc}") + assert not problems, "\n".join(problems) + + +@_PLAIN_TESTS_NEED_DB +def test_alembic_version_untouched() -> None: + """决策 D1：本项目不得修改 qlib 的 Alembic 版本链。""" + pytest.importorskip("pymysql") + from hdiv.data import db + + db.load_dotenv_once() + try: + df = db.read_sql("SELECT version_num FROM alembic_version", cfg=CFG) + except Exception as exc: # pragma: no cover + pytest.skip(f"数据库不可用：{exc}") + # 只要存在且可读即可；本项目从未写入该表（由 SafetyViolation 保证） + assert len(df) >= 1 + + +@_PLAIN_TESTS_NEED_DB +def test_project_created_tables_all_have_own_prefix() -> None: + """本项目建的表必须 100% 匹配 hd_ 前缀。""" + pytest.importorskip("pymysql") + from hdiv.data import db + from hdiv.data.schema import TABLE_NAMES as declared + + db.load_dotenv_once() + try: + existing = set(db.list_tables(CFG)) + except Exception as exc: # pragma: no cover + pytest.skip(f"数据库不可用：{exc}") + hd_tables = {t for t in existing if t.startswith(CFG.database.own_prefix)} + assert hd_tables <= set(declared), f"库中存在未声明的 hd_ 表：{hd_tables - set(declared)}" + assert set(declared) <= existing, f"声明的表未全部创建：{set(declared) - existing}" diff --git a/tests/test_sync.py b/tests/test_sync.py new file mode 100644 index 0000000..f65be2d --- /dev/null +++ b/tests/test_sync.py @@ -0,0 +1,264 @@ +"""同步层测试：值转换、去重键、数据帧构造、限频器。""" + +from __future__ import annotations + +from datetime import date, datetime + +import pandas as pd +import pytest + +from hdiv.data.db import _frame_to_records +from hdiv.data.sync.base import nullify_zero, stable_id, to_date, to_float +from hdiv.data.tushare_client import RateLimiter + + +# --------------------------------------------------------------------------- +# 值转换 +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "raw,expected", + [ + ("20240102", date(2024, 1, 2)), + ("19991231", date(1999, 12, 31)), + (date(2020, 5, 6), date(2020, 5, 6)), + (datetime(2020, 5, 6, 1, 2, 3), date(2020, 5, 6)), + ("2020-05-06", date(2020, 5, 6)), + (None, None), + ("", None), + ("nan", None), + (float("nan"), None), + ], +) +def test_to_date(raw, expected) -> None: + assert to_date(raw) == expected + + +@pytest.mark.parametrize( + "raw,expected", + [(1, 1.0), ("2.5", 2.5), (None, None), ("", None), ("abc", None), (float("nan"), None)], +) +def test_to_float(raw, expected) -> None: + assert to_float(raw) == expected + + +def test_nullify_zero_treats_zero_as_missing() -> None: + """Tushare 用 0 表示「未实施」，需转 None 以免污染统计。""" + assert nullify_zero(0) is None + assert nullify_zero("0") is None + assert nullify_zero(1.5) == 1.5 + assert nullify_zero(None) is None + + +def test_stable_id_is_deterministic() -> None: + a = stable_id("dividend", "600036.SH", "2020-01-01") + b = stable_id("dividend", "600036.SH", "2020-01-01") + c = stable_id("dividend", "600036.SH", "2020-01-02") + assert a == b != c + assert len(a) == 32 # 默认 length=32 + + +# --------------------------------------------------------------------------- +# NaN → SQL NULL（曾导致 "nan can not be used with MySQL" 的真实 bug） +# --------------------------------------------------------------------------- + + +def test_frame_to_records_converts_nan_to_none() -> None: + df = pd.DataFrame( + { + "a": [1.0, float("nan"), 3.0], + "b": ["x", None, "z"], + "c": [pd.Timestamp("2024-01-01"), pd.NaT, pd.Timestamp("2024-01-03")], + "d": pd.Series([1, 2, 3], dtype="Int64"), + } + ) + recs = _frame_to_records(df) + assert recs[0]["a"] == 1.0 + assert recs[1]["a"] is None, "NaN 必须转成 None，否则 pymysql 报错" + assert recs[1]["b"] is None + assert recs[1]["c"] is None, "NaT 必须转成 None" + # object dtype 保证 None 不被强制回 NaN + assert all(not (isinstance(v, float) and v != v) for r in recs for v in r.values()) + + +def test_frame_to_records_preserves_dates_and_strings() -> None: + df = pd.DataFrame({"d": [date(2024, 1, 2)], "s": ["银行"], "n": [1.5]}) + rec = _frame_to_records(df)[0] + assert rec["d"] == date(2024, 1, 2) + assert rec["s"] == "银行" + assert rec["n"] == 1.5 + + +# --------------------------------------------------------------------------- +# 分红去重键 +# --------------------------------------------------------------------------- + + +def test_dividend_dedup_key_handles_null_ann_date() -> None: + """ann_date 为 NULL 时必须有稳定的显式键 —— MySQL 唯一约束不约束 NULL。""" + from hdiv.data.sync.dividend import build_dedup_key + + k1 = build_dedup_key("600036.SH", "20260630", "股东提议", None) + k2 = build_dedup_key("600036.SH", "20260630", "股东提议", None) + assert k1 == k2, "同样的 NULL 输入必须产生同样的键，否则会重复入库" + assert "NONE" in k1 + assert k1 != build_dedup_key("600036.SH", "20260630", "预案", None) + assert k1 != build_dedup_key("600036.SH", "20250630", "股东提议", None) + + +def test_dividend_dedup_key_distinguishes_ann_date() -> None: + from hdiv.data.sync.dividend import build_dedup_key + + a = build_dedup_key("600036.SH", "20251231", "实施", "20260328") + b = build_dedup_key("600036.SH", "20251231", "实施", "20260626") + assert a != b, "同一报告期的多次公告必须区分（预案 vs 实施）" + + +def test_dividend_rows_to_frame_filters_incomplete() -> None: + from hdiv.data.sync.dividend import rows_to_frame + + rows = [ + {"ts_code": "600036.SH", "end_date": "20231231", "ann_date": "20240301", + "div_proc": "实施", "cash_div_tax": 2.0, "ex_date": "20240710"}, + {"ts_code": "600036.SH", "end_date": None, "div_proc": "实施"}, # 缺报告期 → 丢 + {"ts_code": "", "end_date": "20231231", "div_proc": "实施"}, # 缺代码 → 丢 + {"ts_code": "600036.SH", "end_date": "20231231", "div_proc": ""}, # 缺状态 → 丢 + {"ts_code": "600036.SH", "end_date": "20230630", "ann_date": None, + "div_proc": "股东提议", "cash_div_tax": None}, # 保留（状态完整） + ] + df = rows_to_frame(rows) + assert len(df) == 2 + assert set(df["div_proc"]) == {"实施", "股东提议"} + assert df["symbol"].eq("600036.SH").all() + # DataFrame 层缺失值表现为 NaN（pandas 的 float64 语义）， + # 但**写入数据库前**必须变成 NULL —— 这才是真正的约束（见 _frame_to_records） + recs = _frame_to_records(df) + proposer = next(r for r in recs if r["div_proc"] == "股东提议") + assert proposer["cash_div_tax"] is None + + +# --------------------------------------------------------------------------- +# 财报：ann_date 为空必须丢弃（PIT 纪律） +# --------------------------------------------------------------------------- + + +def test_financial_rows_drop_missing_ann_date() -> None: + from hdiv.data.sync.financial import SPECS, rows_to_frame + + spec = SPECS["fina_indicator"] + rows = [ + {"ts_code": "600036.SH", "end_date": "20231231", "ann_date": "20240301", "roe": 15.0}, + {"ts_code": "600036.SH", "end_date": "20230630", "ann_date": None, "roe": 8.0}, + {"ts_code": "600036.SH", "end_date": None, "ann_date": "20240101", "roe": 1.0}, + ] + df, dropped = rows_to_frame(rows, spec) + assert len(df) == 1, "缺公告日的记录无法用于 PIT，必须丢弃" + assert dropped == 2 + assert df.iloc[0]["roe"] == 15.0 + + +def test_financial_report_type_preserved() -> None: + from hdiv.data.sync.financial import SPECS, rows_to_frame + + spec = SPECS["income"] + rows = [ + {"ts_code": "600036.SH", "end_date": "20231231", "ann_date": "20240301", + "report_type": "1", "total_revenue": 100.0}, + {"ts_code": "600036.SH", "end_date": "20231231", "ann_date": "20240301", + "report_type": "2", "total_revenue": 30.0}, + {"ts_code": "600036.SH", "end_date": "20230331", "ann_date": "20240401", + "report_type": None, "total_revenue": 5.0}, + ] + df, _ = rows_to_frame(rows, spec) + assert len(df) == 3, "report_type 不同不得被折叠（否则合并报表与单季混为一谈）" + assert set(df["report_type"]) == {"1", "2", "1"}, "缺省应为 1（合并报表）" + + +# --------------------------------------------------------------------------- +# 行情帧构造 +# --------------------------------------------------------------------------- + + +def test_price_frames_map_tushare_columns() -> None: + from hdiv.data.sync.price import adj_frame, basic_frame, daily_frame + + d = daily_frame([{"ts_code": "000001.SZ", "trade_date": "20150105", "open": 10, + "high": 11, "low": 9, "close": 10.5, "vol": 100, "amount": 1000}]) + assert list(d.columns) == ["symbol", "trade_date", "open", "high", "low", + "close", "volume", "amount", "source", "adjust"] + assert d.iloc[0]["symbol"] == "000001.SZ" + assert d.iloc[0]["volume"] == 100, "Tushare 的 vol 列映射为 volume" + + a = adj_frame([{"ts_code": "000001.SZ", "trade_date": "20150105", "adj_factor": 1.2}]) + assert a.iloc[0]["factor"] == 1.2 + + b = basic_frame([{"ts_code": "000001.SZ", "trade_date": "20150105", "pe": 8.0, + "dv_ttm": 4.5, "total_mv": 1e11}]) + assert b.iloc[0]["pe"] == 8.0 + assert b.iloc[0]["dv_ttm"] == 4.5 + assert b.iloc[0]["total_mv"] == 1e11 + + +def test_price_frames_drop_invalid_rows() -> None: + from hdiv.data.sync.price import daily_frame + + df = daily_frame([ + {"ts_code": "000001.SZ", "trade_date": "20150105", "close": 10}, + {"ts_code": "", "trade_date": "20150105", "close": 10}, + {"ts_code": "000002.SZ", "trade_date": None, "close": 10}, + ]) + assert len(df) == 1 + + +# --------------------------------------------------------------------------- +# 限频器 +# --------------------------------------------------------------------------- + + +def test_rate_limiter_enforces_budget() -> None: + rl = RateLimiter(per_minute=3) + for _ in range(3): + rl.acquire() + assert len(rl._hits) == 3 + rl.reset() + assert len(rl._hits) == 0 + + +def test_rate_limiter_cooldown_clears_window() -> None: + rl = RateLimiter(per_minute=2) + rl.acquire() + rl.acquire() + rl.cooldown(0.01) + assert len(rl._hits) == 0, "冷却必须清空窗口，否则会持续撞限频" + + +def test_per_api_limits_are_independent() -> None: + """限频按接口计算：dividend 与 daily 应有不同额度。""" + from hdiv.data.tushare_client import TushareClient + + from hdiv.data import db + + db.load_dotenv_once() + cfg = __import__("hdiv.core.config", fromlist=["load_config"]).load_config("datasource") + ts = cfg.tushare + assert ts.limit_for("dividend") == 180 + assert ts.limit_for("daily") == 480 + assert ts.limit_for("未知接口") == ts.rate_limit_default + # 构造客户端需要 token；此处仅验证配置层 + assert ts.rate_limit_cooldown_sec >= 60, "冷却必须覆盖 Tushare 的 60 秒滑动窗口" + + +# --------------------------------------------------------------------------- +# index_weight 的月度切分 +# --------------------------------------------------------------------------- + + +def test_month_starts_split() -> None: + from hdiv.data.sync.index import _month_starts + + segs = _month_starts(date(2024, 1, 15), date(2024, 4, 10)) + assert segs[0] == (date(2024, 1, 15), date(2024, 1, 31)) + assert segs[1] == (date(2024, 2, 1), date(2024, 2, 29)) # 闰年 + assert segs[-1] == (date(2024, 4, 1), date(2024, 4, 10)) + assert len(segs) == 4 diff --git a/tests/test_universe.py b/tests/test_universe.py new file mode 100644 index 0000000..7978e9f --- /dev/null +++ b/tests/test_universe.py @@ -0,0 +1,562 @@ +"""单位换算与筛选滤网测试。 + +这里覆盖的都是**开发过程中真实踩到过**的坑，每个测试对应一次静默错误： + +1. ``total_mv`` 是万元而阈值配的是元 → 筛选结果为空（不报错）； +2. 拿季报 ROE（年初至今累计）去比「5 年年均 ROE」→ 好公司全被误杀； +3. 银行负债率天然 90%+ → 整个金融板块被误杀； +4. 分红除权晚于 asof → 稳定分红公司被误判为「连续分红 0 年」。 +""" + +from __future__ import annotations + +from datetime import date + +import pandas as pd +import pytest + +from hdiv.data.units import ( + normalize_financial_panel, + normalize_market_panel, + pct_to_ratio, + verify_market_units, + vol_shou_to_shares, + wan_to_shares, + wan_to_yuan, +) + + +# --------------------------------------------------------------------------- +# 单位换算 +# --------------------------------------------------------------------------- + + +def test_wan_to_yuan() -> None: + assert wan_to_yuan(pd.Series([1.0, 100.0])).tolist() == [1e4, 1e6] + + +def test_wan_to_shares() -> None: + assert wan_to_shares(pd.Series([125619.78])).iloc[0] == pytest.approx(1.2561978e9) + + +def test_pct_to_ratio() -> None: + assert pct_to_ratio(pd.Series([5.08])).iloc[0] == pytest.approx(0.0508) + + +def test_vol_shou_to_shares() -> None: + assert vol_shou_to_shares(pd.Series([100])).iloc[0] == 10000 + + +def test_normalize_market_panel_units() -> None: + """茅台 2024-06-28 实测值：总市值 1.84 万亿元，总股本 12.56 亿股。""" + df = pd.DataFrame( + { + "symbol": ["600519.SH"], + "close": [1467.39], + "total_share": [125619.78], # 万股 + "total_mv": [184333208.97], # 万元 + "circ_mv": [184333208.97], + "dv_ttm": [5.1720], # 百分数 + "turnover_rate": [0.25], + } + ) + out = normalize_market_panel(df) + assert out["total_mv"].iloc[0] == pytest.approx(1.8433320897e12, rel=1e-6) + assert out["total_share"].iloc[0] == pytest.approx(1.2561978e9, rel=1e-9) + assert out["dv_ttm"].iloc[0] == pytest.approx(0.051720) + assert out["_units"].iloc[0] == "yuan/shares/ratio" + + +def test_normalize_market_panel_does_not_mutate_input() -> None: + df = pd.DataFrame({"total_mv": [100.0], "total_share": [10.0]}) + before = df.copy() + normalize_market_panel(df) + pd.testing.assert_frame_equal(df, before) + + +def test_normalize_financial_panel_converts_pct() -> None: + df = pd.DataFrame({"roe": [15.13], "debt_to_assets": [90.23], "total_revenue": [1.78e11]}) + out = normalize_financial_panel(df) + assert out["roe"].iloc[0] == pytest.approx(0.1513) + assert out["debt_to_assets"].iloc[0] == pytest.approx(0.9023) + assert out["total_revenue"].iloc[0] == 1.78e11, "金额列本就以元计，不得被换算" + + +def test_verify_market_units_detects_correct_data() -> None: + df = pd.DataFrame( + { + "close": [10.0, 20.0], + "total_share": [1e9, 5e8], + "total_mv": [1e10, 1e10], + } + ) + v = verify_market_units(df) + assert v["checked"] == 2 and v["bad"] == 0 + assert v["median_ratio"] == pytest.approx(1.0) + + +def test_identity_alone_cannot_detect_wan_vs_yuan() -> None: + """恒等式对「整体万元/元混淆」无效 —— 因为 元/股 × 万股 = 万元。 + + 这是一个容易误以为「有了恒等式检查就安全」的陷阱，必须显式记录： + 原始单位下比值仍然恰好是 1。 + """ + raw = pd.DataFrame( + {"close": [1467.39], "total_share": [125619.78], "total_mv": [184333208.97]} + ) + v = verify_market_units(raw) + assert v["identity_ok"] is True, "恒等式在原始单位下同样成立" + assert v["unit_ok"] is False, "但绝对量级检查必须发现单位错误" + assert v["detected_unit"] == "wan" + + +def test_verify_market_units_accepts_normalized_yuan() -> None: + norm = normalize_market_panel( + pd.DataFrame( + {"close": [1467.39], "total_share": [125619.78], "total_mv": [184333208.97]} + ) + ) + v = verify_market_units(norm) + assert v["unit_ok"] is True and v["identity_ok"] is True + assert v["detected_unit"] == "yuan" + + +def test_verify_market_units_detects_partial_conversion() -> None: + """只换算一个字段（常见疏漏）也必须被抓出来。""" + df = pd.DataFrame( + {"close": [10.0], "total_share": [1e9], "total_mv": [1e10 / 1e4]} # 市值漏换算 + ) + v = verify_market_units(df) + assert v["bad"] == 1 + + +def test_verify_market_units_empty() -> None: + assert verify_market_units(pd.DataFrame())["checked"] == 0 + + +# --------------------------------------------------------------------------- +# 滤网：行业豁免 +# --------------------------------------------------------------------------- + + +class _FakeRepo: + def __init__(self, st: set[str] | None = None, susp: set[str] | None = None) -> None: + self._st = st or set() + self._susp = susp or set() + + def st_symbols(self, asof, include_delisting=True): # noqa: ANN001, ARG002 + return self._st + + def suspended_on(self, asof): # noqa: ANN001, ARG002 + return self._susp + + +def _frame(**kwargs) -> pd.DataFrame: + base = { + "symbol": ["600036.SH", "601088.SH"], + "name": ["招商银行", "中国神华"], + "industry": ["银行", "煤炭开采"], + "market": ["主板", "主板"], + "exchange": ["SSE", "SSE"], + "listed_years": [30.0, 17.0], + "is_fresh": [True, True], + "total_mv": [8.6e11, 8.8e11], + "circ_mv": [7.0e11, 7.3e11], + "avg_amount": [1e9, 8e8], + "close": [34.19, 44.37], + "debt_ratio": [0.902, 0.236], + "total_hldr_eqy_exc_min_int": [3.5e11, 4.0e11], + } + base.update(kwargs) + return pd.DataFrame(base) + + +def test_risk_filter_exempts_banks_from_leverage() -> None: + from hdiv.core.config import RiskFilterConfig + from hdiv.universe.filters.risk import RiskFilter + + f = RiskFilter(RiskFilterConfig(max_debt_to_assets=0.80), exempt_leverage=["银行"]) + out = f.compute(_frame(), _FakeRepo(), date(2024, 6, 28)) + assert bool(out.passed.iloc[0]) is True, "银行必须豁免负债率上限" + assert bool(out.passed.iloc[1]) is True, "低负债公司自然通过" + assert out.values["600036.SH"]["debt_ratio_exempt"] is True + + +def test_risk_filter_still_rejects_high_leverage_non_exempt() -> None: + from hdiv.core.config import RiskFilterConfig + from hdiv.universe.filters.risk import RiskFilter + + f = RiskFilter(RiskFilterConfig(max_debt_to_assets=0.80), exempt_leverage=["银行"]) + df = _frame(industry=["房地产", "煤炭开采"]) + out = f.compute(df, _FakeRepo(), date(2024, 6, 28)) + assert bool(out.passed.iloc[0]) is False + assert "资产负债率" in out.reasons["600036.SH"] + + +def test_quality_filter_exempts_banks_from_fcf_and_leverage() -> None: + from hdiv.core.config import QualityFilterConfig + from hdiv.universe.filters.quality import FinancialQualityFilter + + cfg = QualityFilterConfig(min_ocf_to_profit=0.60, max_debt_to_assets=0.80) + f = FinancialQualityFilter(cfg, exempt_leverage=["银行"], exempt_fcf=["银行"]) + df = _frame(roe_avg=[0.1513, 0.1406], ocf_to_profit=[-0.03, 1.80]) + out = f.compute(df, _FakeRepo(), date(2024, 6, 28)) + assert bool(out.passed.iloc[0]) is True, "银行豁免 FCF 与负债率" + + +def test_quality_filter_uses_annual_average_not_quarterly() -> None: + """季报 ROE 3.47% 不该被拿去比年均 8% 的阈值。""" + from hdiv.core.config import QualityFilterConfig + from hdiv.universe.filters.quality import FinancialQualityFilter + + cfg = QualityFilterConfig(min_roe_5y_avg=0.08, min_ocf_to_profit=None) + f = FinancialQualityFilter(cfg) + df = _frame( + industry=["白酒", "煤炭开采"], + roe=[0.0347, 0.0380], # 季报累计值（会被 avg 覆盖） + roe_avg=[0.1513, 0.1406], # 年报 5 年平均 + ) + out = f.compute(df, _FakeRepo(), date(2024, 6, 28)) + assert bool(out.passed.iloc[0]) is True, "应使用 roe_avg 而非季报 roe" + assert out.values["600036.SH"]["roe"] == pytest.approx(0.1513) + + +def test_quality_filter_falls_back_to_latest_when_no_average() -> None: + from hdiv.core.config import QualityFilterConfig + from hdiv.universe.filters.quality import FinancialQualityFilter + + cfg = QualityFilterConfig(min_roe_5y_avg=0.08, min_ocf_to_profit=None) + f = FinancialQualityFilter(cfg) + df = _frame(industry=["白酒", "煤炭开采"], roe=[0.20, 0.03]) # 无 roe_avg 列 + out = f.compute(df, _FakeRepo(), date(2024, 6, 28)) + assert bool(out.passed.iloc[0]) is True + assert bool(out.passed.iloc[1]) is False + + +# --------------------------------------------------------------------------- +# 分红连续性：一年宽限期 +# --------------------------------------------------------------------------- + + +def _div(symbol: str, end_year: int, ex_year: int, dps: float = 1.0, month: int = 7) -> dict: + return { + "symbol": symbol, + "end_date": date(end_year, 12, 31), + "imp_ann_date": date(ex_year, month - 1 if month > 1 else 12, 1), + "div_proc": "实施", + "cash_div_tax": dps, + "cash_div": dps, + "stk_div": None, + "base_share": 10000.0, + "ex_date": date(ex_year, month, 15), + } + + +def test_continuity_within_target_year() -> None: + """FY2023 分红已在 2024-05 除权 → target=2023，连续 5 年。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + recs = {2023: 2024, 2022: 2023, 2021: 2022, 2020: 2021, 2019: 2020} + rows = [_div("600036.SH", fy, ex, month=5) for fy, ex in recs.items()] + s = DividendFilter._stats(rows, target_year=2023, asof=date(2024, 6, 28), + cfg=DividendFilterConfig()) + assert s["dividend_continuity_years"] == 5 + assert s["continuity_grace_used"] is False + + +def test_continuity_grace_when_ex_date_lags() -> None: + """神华实测情形：FY2023 分红要 2024-07 才除权，asof=2024-06-28 时不可见。 + + 此时必须用一年宽限期从 FY2022 起算，而不是判定为「中断分红」。 + """ + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + rows = [_div("601088.SH", fy, fy + 1, month=7) for fy in (2022, 2021, 2020, 2019, 2018)] + s = DividendFilter._stats(rows, target_year=2023, asof=date(2024, 6, 28), + cfg=DividendFilterConfig()) + assert s["latest_dividend_year"] == 2022 + assert s["continuity_start_year"] == 2022 + assert s["continuity_grace_used"] is True + assert s["dividend_continuity_years"] == 5, "不应因为除权晚而误判中断" + + +def test_continuity_zero_when_genuinely_stopped() -> None: + """最近可见分红比应考核财年早两年以上 → 视为真的中断。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + rows = [_div("000002.SZ", fy, fy + 1) for fy in (2019, 2018, 2017, 2016, 2015)] + s = DividendFilter._stats(rows, target_year=2023, asof=date(2024, 6, 28), + cfg=DividendFilterConfig()) + assert s["dividend_continuity_years"] == 0 + + +def test_continuity_breaks_on_gap() -> None: + """有断档：2022 有、2021 无 → 连续 1 年。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + rows = [_div("X.SZ", fy, fy + 1) for fy in (2022, 2020, 2019)] + s = DividendFilter._stats(rows, target_year=2023, asof=date(2024, 6, 28), + cfg=DividendFilterConfig()) + assert s["dividend_continuity_years"] == 1 + + +def test_ttm_dps_only_counts_ex_date_in_window() -> None: + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + rows = [ + _div("X.SZ", 2023, 2024, dps=1.5, month=4), # 窗口内 + _div("X.SZ", 2022, 2023, dps=1.2, month=7), # 窗口内（>2023-06-28） + _div("X.SZ", 2021, 2022, dps=1.0, month=7), # 窗口外 + ] + s = DividendFilter._stats(rows, target_year=2023, asof=date(2024, 6, 28), + cfg=DividendFilterConfig()) + assert s["ttm_dps"] == pytest.approx(2.7) + + +def test_shift_year_handles_leap_day() -> None: + from hdiv.universe.filters.dividend import _shift_year + + assert _shift_year(date(2024, 2, 29), -1) == date(2023, 2, 28) + assert _shift_year(date(2024, 6, 28), -1) == date(2023, 6, 28) + + +def test_target_year_uses_latest_annual_report() -> None: + """最新年报为 FY2023 时，考核目标年应为 2023。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + df = pd.DataFrame( + { + "symbol": ["A.SH", "B.SH"], + "fin_end_date": [date(2024, 3, 31), date(2023, 12, 31)], + } + ) + t = DividendFilter._target_years(df, date(2024, 6, 28)) + # 能看到 2024Q1 报，说明 FY2023 年报必然已披露 → 目标年 2023 + assert t["A.SH"] == 2023, "有 2024Q1 报 → FY2023 年报已出" + assert t["B.SH"] == 2023, "有 FY2023 年报 → 目标是 2023" + + df2 = pd.DataFrame({"symbol": ["C.SH"], "fin_end_date": [date(2023, 9, 30)]}) + assert DividendFilter._target_years(df2, date(2024, 6, 28))["C.SH"] == 2022, ( + "只看到 2023Q3 → FY2023 年报未出，退回到 2022" + ) + + +def test_payout_ratio_uses_base_share() -> None: + """总现金分红 = 每股分红 × 基准股本（万股→股）。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + rows = [ + { + "symbol": "X.SH", "end_date": date(2023, 12, 31), "ex_date": date(2024, 6, 1), + "div_proc": "实施", "cash_div_tax": 2.0, "base_share": 10000.0, # 1 亿股 + } + ] + row = pd.Series({"n_income_attr_p": 4e8, "free_cashflow": 8e8}) + out = DividendFilter._payout_and_cover(rows, row, date(2024, 6, 28), + DividendFilterConfig()) + assert out["total_cash_dividend"] == pytest.approx(2.0 * 10000.0 * 1e4) + assert out["payout_ratio"] == pytest.approx(0.5) + # 总现金分红 = 2.0 元 × 10000 万股 × 1e4 = 2e8 元；FCF 8e8 → 覆盖 4 倍 + assert out["fcf_dividend_cover"] == pytest.approx(4.0) + + +def test_fcf_fallback_when_tushare_missing() -> None: + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + rows = [{ + "symbol": "X.SH", "end_date": date(2023, 12, 31), "ex_date": date(2024, 6, 1), + "div_proc": "实施", "cash_div_tax": 1.0, "base_share": 1000.0, + }] + row = pd.Series({ + "n_income_attr_p": 5e6, "free_cashflow": None, + "n_cashflow_act": 1e7, "c_pay_dist_dpcp_int_exp": 2e6, + }) + out = DividendFilter._payout_and_cover(rows, row, date(2024, 6, 28), + DividendFilterConfig()) + assert out["fcf_source"] == "ocf_minus_dist" + assert out["free_cashflow"] == pytest.approx(8e6) + + +# --------------------------------------------------------------------------- +# 滤网结果索引契约（曾经把 DataFrame 索引当成 symbol 用的真实 bug） +# --------------------------------------------------------------------------- + + +def test_filter_outcome_index_is_dataframe_index_not_symbol() -> None: + """滤网的 passed 索引必须与传入 DataFrame 的索引一致。 + + 选择器据此用 ``live.at[i, "symbol"]`` 映射； + 若误把索引当 symbol，会导致「全部淘汰」（本项目开发中确实发生过）。 + """ + from hdiv.core.config import MarketFilterConfig + from hdiv.universe.filters.market import MarketFilter + + df = _frame() + df.index = [10, 20] # 非默认索引 + f = MarketFilter(MarketFilterConfig(min_market_cap=1e10)) + out = f.compute(df, _FakeRepo(), date(2024, 6, 28)) + assert list(out.passed.index) == [10, 20] + assert set(out.passed.values) <= {True, False} + + +# --------------------------------------------------------------------------- +# 数据缺失策略（安全边际策略的关键取舍） +# --------------------------------------------------------------------------- + + +def _div_cfg(**kw): + from hdiv.core.config import DividendFilterConfig + + base = { + "min_dividend_yield": None, + "min_continuous_years": 0, + "min_dividend_years_in_window": 0, + "max_payout_ratio": None, + "require_positive_fcf": True, + "min_fcf_dividend_cover": None, + } + base.update(kw) + return DividendFilterConfig(**base) + + +def test_missing_fcf_passes_by_default() -> None: + """默认宽松：数据缺失放行，避免因未同步而误杀。""" + from hdiv.universe.filters.dividend import DividendFilter + + cfg = _div_cfg(on_missing_data="pass") + stats = {"free_cashflow": None, "dividend_continuity_years": 0, + "dividend_years_in_window": 0, "dividend_yield": 0.05} + assert DividendFilter._reject_reason(stats, cfg) is None + + +def test_missing_fcf_rejected_when_strict() -> None: + """严格模式：无法验证现金流即淘汰 —— 忠于「安全边际」的策略逻辑。""" + from hdiv.universe.filters.dividend import DividendFilter + + cfg = _div_cfg(on_missing_data="reject") + stats = {"free_cashflow": None, "dividend_continuity_years": 0, + "dividend_years_in_window": 0, "dividend_yield": 0.05} + why = DividendFilter._reject_reason(stats, cfg) + assert why is not None and "缺失" in why + + +def test_negative_fcf_rejected_in_both_modes() -> None: + """FCF 为负时两种模式都必须淘汰 —— 宽松不等于放行已知风险。""" + from hdiv.universe.filters.dividend import DividendFilter + + stats = {"free_cashflow": -1e8, "dividend_continuity_years": 0, + "dividend_years_in_window": 0, "dividend_yield": 0.05} + for mode in ("pass", "reject"): + why = DividendFilter._reject_reason(stats, _div_cfg(on_missing_data=mode)) + assert why is not None and "负" in why, f"{mode} 模式必须拒绝负 FCF" + + +def test_missing_coverage_strict_only() -> None: + from hdiv.universe.filters.dividend import DividendFilter + + stats = {"free_cashflow": 1e8, "fcf_dividend_cover": None, + "dividend_continuity_years": 0, "dividend_years_in_window": 0, + "dividend_yield": 0.05} + assert DividendFilter._reject_reason( + stats, _div_cfg(min_fcf_dividend_cover=1.0, on_missing_data="pass") + ) is None + assert DividendFilter._reject_reason( + stats, _div_cfg(min_fcf_dividend_cover=1.0, on_missing_data="reject") + ) is not None + + +def test_on_missing_data_invalid_value_rejected() -> None: + from hdiv.core.errors import SchemaValidationError + + with pytest.raises(Exception) as ei: + _div_cfg(on_missing_data="maybe") + assert "on_missing_data" in str(ei.value) or "Input should be" in str(ei.value) + del SchemaValidationError + + +# --------------------------------------------------------------------------- +# 分红支付率必须与分红**同财年**（真实踩到的错误） +# --------------------------------------------------------------------------- + + +def test_payout_uses_same_fiscal_year_not_latest_quarter() -> None: + """回归：曾用「FY2023 分红 ÷ 2024Q1 净利润」算出 230.9% 的荒谬支付率。 + + 正确口径下美的集团 FY2023 为：分红 207.8 亿 ÷ 净利 337.2 亿 = 61.63%。 + """ + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + recs = [{ + "symbol": "000333.SZ", "end_date": date(2023, 12, 31), + "ex_date": date(2024, 5, 15), "div_proc": "实施", + "cash_div_tax": 3.0, "base_share": 692675.9241, + }] + # 同财年（FY2023）财务 + fy_row = pd.Series({ + "n_income_attr_p": 3.372e10, "free_cashflow": 7.16e10, + }) + out = DividendFilter._payout_and_cover( + recs, fy_row, date(2024, 6, 28), DividendFilterConfig() + ) + assert out["financial_year"] == 2023 + assert out["payout_ratio"] == pytest.approx(207.8 / 337.2, abs=0.01) + assert out["payout_basis"] == "same_fiscal_year" + + +def test_payout_not_computed_without_same_year_row() -> None: + """缺少同财年财务时必须返回「不可得」，而不是退回到最新季报。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + recs = [{ + "symbol": "X.SZ", "end_date": date(2023, 12, 31), + "ex_date": date(2024, 5, 15), "div_proc": "实施", + "cash_div_tax": 1.0, "base_share": 10000.0, + }] + out = DividendFilter._payout_and_cover( + recs, None, date(2024, 6, 28), DividendFilterConfig() + ) + assert out["payout_ratio"] is None + assert out["fcf_dividend_cover"] is None + assert out["payout_basis"] == "missing_same_year_financials" + + +def test_total_cash_dividend_uses_base_share() -> None: + """base_share 是**万股**，漏乘 1e4 会把支付率缩小一万倍。""" + from hdiv.core.config import DividendFilterConfig + from hdiv.universe.filters.dividend import DividendFilter + + recs = [{ + "symbol": "X.SZ", "end_date": date(2023, 12, 31), + "ex_date": date(2024, 5, 15), "div_proc": "实施", + "cash_div_tax": 2.0, "base_share": 10000.0, # 1 亿股 + }] + row = pd.Series({"n_income_attr_p": 4e8, "free_cashflow": 8e8}) + out = DividendFilter._payout_and_cover( + recs, row, date(2024, 6, 28), DividendFilterConfig() + ) + assert out["total_cash_dividend"] == pytest.approx(2.0 * 10000.0 * 1e4) + assert out["payout_ratio"] == pytest.approx(0.5) + + +def test_dividend_records_include_base_share() -> None: + """回归：repo.dividend_records 曾漏选 base_share， + + 导致 payout_ratio 与 fcf_dividend_cover 在全库范围内静默为 NULL， + 进而使 max_payout_ratio / min_fcf_dividend_cover 两个筛选条件从未生效。 + """ + import inspect + + from hdiv.data.repo import Repo + + src = inspect.getsource(Repo.dividend_records) + assert "base_share" in src, "dividend_records 必须选出 base_share" diff --git a/tests/test_web.py b/tests/test_web.py new file mode 100644 index 0000000..a8e4360 --- /dev/null +++ b/tests/test_web.py @@ -0,0 +1,575 @@ +"""Web 层测试：API 契约、软删除语义、站点归一化、路径重写。 + +**为什么要有契约测试**：前端（``web/app.js``）与后端（``web/server.py``）是 +两个独立文件，改动其中一个很容易忘记另一个。这里把「前端会调用的接口」 +写成断言 —— 只要后端删掉某个路由，测试立刻失败，而不是等到页面上报错。 +""" + +from __future__ import annotations + +import json +import re +from pathlib import Path + +import pytest + +from hdiv.core.paths import project_root +from hdiv.web import site +from hdiv.web.server import ROUTES + + +# --------------------------------------------------------------------------- +# 前端 ↔ 后端 接口契约 +# --------------------------------------------------------------------------- + +#: 前端实际会调用的接口（method, 路径样例） +#: 路径样例用于匹配路由正则；改前端时需同步此表。 +FRONTEND_CALLS: list[tuple[str, str]] = [ + ("GET", "/api/health"), + ("GET", "/api/summary"), + ("GET", "/api/universes"), + ("GET", "/api/universes/abc123"), + ("GET", "/api/universes/abc123/members"), + ("GET", "/api/universes/abc123/backtests"), + ("PATCH", "/api/universes/abc123"), + ("GET", "/api/stocks/600519.SH"), + ("GET", "/api/backtests"), + ("GET", "/api/backtests/abc123"), + ("GET", "/api/backtests/abc123/metrics"), + ("GET", "/api/backtests/abc123/equity"), + ("GET", "/api/backtests/abc123/trades"), + ("GET", "/api/backtests/abc123/signals"), + ("PATCH", "/api/backtests/abc123"), +] + + +def _match(method: str, path: str) -> bool: + return any(m == method and pat.match(path) for m, pat, _ in ROUTES) + + +@pytest.mark.parametrize("method,path", FRONTEND_CALLS) +def test_frontend_api_calls_have_routes(method: str, path: str) -> None: + assert _match(method, path), f"前端会调用 {method} {path}，但后端没有对应路由" + + +def test_app_js_only_calls_known_api_prefixes() -> None: + """app.js 里出现的接口路径必须在契约表中有覆盖。""" + js = (project_root() / "web" / "app.js").read_text(encoding="utf-8") + # 抓取 api(`xxx`) / api('xxx') / patch(`xxx`, ...) 的首段 + calls = re.findall(r"\b(?:api|patch)\(\s*[`'\"]([a-z][\w/\-${}.\[\]]*)", js) + assert calls, "未从 app.js 中解析出任何接口调用（解析逻辑需更新）" + # FRONTEND_CALLS 里是绝对路径 /api/xxx；app.js 里的参数是相对 api 基址的 + # （api('summary') 实际请求 /api/summary），因此要去掉 api/ 前缀再比较。 + known = { + p.removeprefix("/api/").strip("/").split("/")[0] + for _m, p in FRONTEND_CALLS + } + unknown = { + c.split("/")[0].split("?")[0] + for c in calls + if c.split("/")[0].split("?")[0] not in known + } + # 允许 ${...} 模板片段（这些是动态拼出的 run_id / symbol，前缀已在表中） + unknown = {u for u in unknown if not u.startswith("$")} + assert not unknown, f"app.js 调用了契约表未覆盖的接口前缀：{sorted(unknown)}" + + +def test_members_endpoint_defaults_to_selected() -> None: + """接口层默认值：不传 passed 时应等价于 passed=1，而非全部候选。""" + import inspect + + from hdiv.web import server + + src = inspect.getsource(server._members) + assert 'passed_raw == "all"' in src or "passed_raw == 'all'" in src, \ + "默认值应只把显式的 all 当作「全部候选」" + assert 'passed_raw != "0"' in src or "passed_raw != '0'" in src, \ + "未指定 passed 时应视为 1（仅入选）" + + +def test_every_route_has_a_frontend_or_cli_consumer() -> None: + """反向检查：后端不应暴露无人使用的接口（便于发现遗留死接口）。""" + known_paths = {p for _m, p in FRONTEND_CALLS} + orphans = [] + for _m, pat, fn in ROUTES: + # 用契约表中的样例路径试探该路由是否有消费者 + sample = pat.pattern.replace("^", "").replace("$", "") + sample = re.sub(r"\(\?P<\w+>\[[^\]]+\]\+?\)", "abc123", sample) + if not any(pat.match(p) for p in known_paths) and "/stocks/" not in sample: + orphans.append((_m, pat.pattern)) + # /stocks/ 由画像页使用；/universes/{id}/members/{sym} 为可选下钻 + assert len(orphans) <= 2, f"疑似无人使用的接口：{orphans}" + + +# --------------------------------------------------------------------------- +# 资源路径重写（归档后图表不能失效） +# --------------------------------------------------------------------------- + + +def test_rewrite_asset_paths_depth0() -> None: + html = '' + assert site.rewrite_asset_paths(html, 0) == html + + +def test_rewrite_asset_paths_depth2() -> None: + html = '' + out = site.rewrite_asset_paths(html, 2) + assert 'src="../../assets/echarts.min.js"' in out + + +def test_rewrite_does_not_touch_absolute_or_external() -> None: + for html in ( + '', + '', + '', + '', + ): + assert site.rewrite_asset_paths(html, 2) == html, f"不该改写：{html}" + + +def test_rewrite_handles_href_too() -> None: + html = '' + assert '../../assets/app.css' in site.rewrite_asset_paths(html, 2) + + +# --------------------------------------------------------------------------- +# 前端文件 +# --------------------------------------------------------------------------- + + +def test_frontend_source_files_exist() -> None: + src = project_root() / "web" + for name in ("index.html", "app.css", "app.js"): + assert (src / name).is_file(), f"缺少前端文件 web/{name}" + + +def test_frontend_index_references_local_assets_only() -> None: + html = (project_root() / "web" / "index.html").read_text(encoding="utf-8") + refs = re.findall(r'(?:src|href)="([^"]+)"', html) + external = [r for r in refs if r.startswith(("http://", "https://", "//"))] + assert not external, f"前端引用了外部资源（违反离线约束）：{external}" + assert "app/app.js" in refs and "app/app.css" in refs + assert "assets/echarts.min.js" in refs + + +def test_frontend_uses_hash_routing_only() -> None: + """hash 路由是刻意的：nginx 只需托管静态文件，不必配置 rewrite。""" + js = (project_root() / "web" / "app.js").read_text(encoding="utf-8") + assert "location.hash" in js + # 不应出现 history.pushState 这类需要服务端配合的写法 + assert "pushState" not in js + + +def test_frontend_escapes_html() -> None: + """用户可输入记录名称/备注，必须转义以避免 XSS。""" + js = (project_root() / "web" / "app.js").read_text(encoding="utf-8") + assert "function esc(" in js or "const esc =" in js + assert """ in js and "<" in js + + +# --------------------------------------------------------------------------- +# API 行为（需要数据库） +# --------------------------------------------------------------------------- + + +def _db_ready() -> bool: + try: + from hdiv.core.config import load_config + from hdiv.data import db + + db.load_dotenv_once() + db.list_tables(load_config("datasource")) + return True + except Exception: + return False + + +requires_db = pytest.mark.skipif(not _db_ready(), reason="数据库不可用") + + +@requires_db +def test_service_summary_shape() -> None: + from hdiv.web import service + + s = service.summary() + for k in ("universes", "backtests", "profiles", "db"): + assert k in s, f"summary 缺少字段 {k}" + + +@requires_db +def test_soft_delete_is_reversible_and_never_physical() -> None: + """软删除语义：记录仍在库中，可通过 include_deleted 找回。""" + from hdiv.web import service + + runs = service.list_universes() + if not runs: + pytest.skip("没有筛选记录可供测试") + rid = runs[0]["run_id"] + try: + service.update_universe(rid, {"deleted": True}) + visible = {r["run_id"] for r in service.list_universes()} + assert rid not in visible, "软删除后不应出现在默认列表" + allruns = {r["run_id"] for r in service.list_universes(include_deleted=True)} + assert rid in allruns, "软删除的记录必须仍可通过 include_deleted 找回（不做物理删除）" + finally: + service.update_universe(rid, {"deleted": False}) + assert rid in {r["run_id"] for r in service.list_universes()} + + +@requires_db +def test_archive_toggles_visibility() -> None: + from hdiv.web import service + + runs = service.list_universes() + if not runs: + pytest.skip("没有筛选记录可供测试") + rid = runs[0]["run_id"] + try: + service.update_universe(rid, {"archived": True}) + assert rid not in {r["run_id"] for r in service.list_universes()} + assert rid in {r["run_id"] for r in service.list_universes(include_archived=True)} + finally: + service.update_universe(rid, {"archived": False}) + + +@requires_db +def test_rename_persists_and_nullable() -> None: + from hdiv.web import service + + runs = service.list_universes() + if not runs: + pytest.skip("没有筛选记录可供测试") + rid = runs[0]["run_id"] + original = runs[0]["display_name"] + try: + got = service.update_universe(rid, {"display_name": "单元测试名称"}) + assert got["display_name"] == "单元测试名称" + assert got["title"] == "单元测试名称" + # 清空后应回落到自动标题，而不是留空 + got = service.update_universe(rid, {"display_name": ""}) + assert got["display_name"] is None + assert got["title"], "清空命名后应回落到自动标题" + finally: + service.update_universe(rid, {"display_name": original or ""}) + + +@requires_db +def test_universe_backtest_link_is_bidirectional() -> None: + from hdiv.web import service + + runs = service.list_universes() + bts = service.list_backtests() + if not runs or not bts: + pytest.skip("缺少筛选记录或回测记录") + rid, bid = runs[0]["run_id"], bts[0]["run_id"] + original = bts[0]["universe_run_id"] + try: + service.update_backtest(bid, {"universe_run_id": rid}) + linked = service.list_backtests(universe_run_id=rid) + assert bid in {x["run_id"] for x in linked}, "回测侧应能按股票池过滤到" + u = service.get_universe(rid) + assert u["linked_backtests"] >= 1, "股票池侧应统计到关联回测数" + finally: + service.update_backtest(bid, {"universe_run_id": original}) + + +@requires_db +def test_link_rejects_nonexistent_universe() -> None: + from hdiv.web import service + + bts = service.list_backtests() + if not bts: + pytest.skip("没有回测记录") + with pytest.raises(ValueError): + service.update_backtest(bts[0]["run_id"], {"universe_run_id": "不存在的runid"}) + + +@requires_db +def test_update_rejects_empty_patch() -> None: + from hdiv.web import service + + runs = service.list_universes() + if not runs: + pytest.skip("没有筛选记录") + with pytest.raises(ValueError): + service.update_universe(runs[0]["run_id"], {}) + + +@requires_db +def test_all_api_payloads_are_json_serializable() -> None: + """回归：pandas 的 numpy 标量曾导致接口 500。""" + from hdiv.web import service + from hdiv.web.server import _Encoder + + runs = service.list_universes() + payloads: list[object] = [service.summary(), runs] + if runs: + rid = runs[0]["run_id"] + payloads += [ + service.get_universe(rid), + service.list_members(rid, size=2), + service.list_backtests(universe_run_id=rid), + ] + bts = service.list_backtests() + if bts: + bid = bts[0]["run_id"] + payloads += [ + service.get_backtest(bid), + service.get_backtest_metrics(bid), + service.get_backtest_equity(bid), + service.list_backtest_trades(bid, size=2), + service.list_backtest_signals(bid), + ] + for p in payloads: + if p is None: + continue + json.dumps(p, ensure_ascii=False, cls=_Encoder) # 不应抛异常 + + +@requires_db +def test_reason_text_is_human_readable() -> None: + """成交理由必须渲染成人话，而不是丢一坨 JSON 给前端。""" + from hdiv.web.service import _reason_text + + txt = _reason_text({ + "dividend_yield": 0.0575, "yield_percentile": 83.4, + "rule": "股息率历史分位 83.4% >= P75", "observation_count": 1200, + }) + assert "股息率 5.75%" in txt + assert "历史分位 83.4%" in txt + assert "{" not in txt and "}" not in txt + + +# --------------------------------------------------------------------------- +# 部署资产（缺了它们就会出现「API 不可用」） +# --------------------------------------------------------------------------- + + +def test_nginx_example_has_api_proxy_before_static() -> None: + """回归：nginx 示例必须包含 /api 反代，且排在静态规则之前。 + + 漏掉反代块时，/ggx/api/health 会被当静态文件去 output/api/health 找 → 404， + 页面能打开但显示「API 不可用」。 + """ + cfg = (project_root() / "deploy" / "nginx.conf.example").read_text(encoding="utf-8") + proxy = cfg.find("proxy_pass") + assert proxy != -1, "nginx 示例缺少 proxy_pass（API 无法访问）" + # 反代块必须出现在静态 location 之前（nginx 前缀匹配取最长者，但顺位更易读且不易误删） + static = cfg.find("alias /srv/hddiv/site/") + assert static == -1 or proxy < static, "API 反代块应排在静态规则之前" + # location 与 proxy_pass 的末尾斜杠必须成对，否则路径会被改写错 + assert re.search(r"location\s+/ggx/api/\s*\{", cfg) + assert "proxy_pass http://127.0.0.1:8099/api/;" in cfg + + +def test_launchd_template_is_valid_and_placeholder_based() -> None: + """launchd 模板必须可渲染：占位符齐全、plist 结构完整。""" + import plistlib + + tpl = (project_root() / "deploy" / "com.hddiv.web.plist.example") + assert tpl.is_file(), "缺少 launchd 模板" + raw = tpl.read_text(encoding="utf-8") + for ph in ("__PYTHON__", "__PROJECT_ROOT__"): + assert ph in raw, f"模板缺少占位符 {ph}" + # 注释里也有 __，解析时先剥掉注释 + body = re.sub(r"", "", raw, flags=re.DOTALL) + data = plistlib.loads(body.encode("utf-8")) + assert data["Label"] == "com.hddiv.web" + assert data["RunAtLoad"] is True + assert data["KeepAlive"] == {"SuccessfulExit": False}, "应支持崩溃自愈" + assert "--api-only" in data["ProgramArguments"] + + +def test_install_service_script_placeholder_guard() -> None: + """安装脚本必须检测未替换的占位符 —— 否则 launchd 会静默失败。""" + sh = (project_root() / "deploy" / "install-service.sh").read_text(encoding="utf-8") + assert "plutil -lint" in sh, "应校验 plist 格式" + assert "未替换的占位符" in sh or "grep -q \"__\"" in sh + assert "launchctl load" in sh and "launchctl unload" in sh + + +def test_serve_script_is_syntax_valid() -> None: + import subprocess + + sh = project_root() / "deploy" / "serve.sh" + r = subprocess.run(["bash", "-n", str(sh)], capture_output=True, text=True) + assert r.returncode == 0, f"serve.sh 语法错误：{r.stderr}" + + +@requires_db +def test_members_default_returns_selected_only() -> None: + """回归：不传 passed 时应返回「入选」股票，而不是全部候选。 + + 曾默认返回全部候选（5000+ 只），与「股票清单」的语义不符。 + """ + from hdiv.web import service + + runs = service.list_universes() + if not runs: + pytest.skip("没有筛选记录") + rid = runs[0]["run_id"] + default = service.list_members(rid, passed=True, size=1) + allc = service.list_members(rid, passed=None, size=1) + rejected = service.list_members(rid, passed=False, size=1) + assert default["total"] <= allc["total"] + assert default["total"] + rejected["total"] == allc["total"], \ + "入选数 + 淘汰数 应等于候选总数" + assert default["total"] > 0, "示例记录应有入选股票" + + +# --------------------------------------------------------------------------- +# HTML 报告降级为「导出件」 +# --------------------------------------------------------------------------- + + +def test_html_flag_is_opt_in_in_cli() -> None: + """回归：静态报告已降级为导出件 —— 默认不生成，需显式 --html。 + + 改造后 SPA 是主界面，默认再产出 HTML 会： + 1) 每次筛选多一个文件 + 2) 同 asof 重跑时按 asof 命名互相覆盖，与「每次运行都留痕」矛盾 + """ + from hdiv.cli import build_parser + + p = build_parser() + subs = {a.dest: a for a in p._actions if hasattr(a, "choices") and isinstance(a.choices, dict)} + sub = subs["command"].choices + for name in ("universe", "profile", "backtest", "audit", "sensitivity"): + args = p.parse_args([name] if name != "universe" else [name]) + assert getattr(args, "html") is False, f"hdiv {name} 的 --html 应为 opt-in" + assert hasattr(args, "no_html"), f"hdiv {name} 应保留 --no-html 以免旧命令报错" + _ = sub # 断言子命令存在 + + +def test_default_universe_run_writes_no_html(monkeypatch) -> None: + """不传 --html 时不应调用 HTML 生成器。""" + from hdiv import cli + + called = {"n": 0} + import hdiv.report.build as build + + def fake(*a, **k): + called["n"] += 1 + raise AssertionError("默认不应生成 HTML") + + monkeypatch.setattr(build, "build_universe_report", fake) + # 仅验证解析结果：默认 html=False + p = cli.build_parser() + assert p.parse_args(["universe"]).html is False + assert p.parse_args(["universe", "--html"]).html is True + assert called["n"] == 0 + + +def test_report_names_include_run_id() -> None: + """报告文件名必须带执行 id，否则同 asof/同 symbol 重跑会互相覆盖。""" + from hdiv.core.config import load_config + + n = load_config("report").naming + for key in ("universe", "profile", "backtest", "walkforward", "sensitivity"): + pattern = getattr(n, key) + assert "{run_id}" in pattern or "{wf_id}" in pattern or "{sens_id}" in pattern, \ + f"naming.{key} 缺少执行 id 占位符，重跑会覆盖：{pattern}" + + +@requires_db +def test_universe_report_filenames_do_not_collide() -> None: + """同 asof 的两条记录必须产出两个不同文件（实测回归）。""" + from hdiv.core.config import load_config + from hdiv.report.renderer import Renderer + + r = Renderer() + a = r.name_from("universe", asof="2025-01-21", run_id="a" * 32) + b = r.name_from("universe", asof="2025-01-21", run_id="b" * 32) + assert a != b, "同 asof 不同 run 必须产生不同文件名" + assert load_config("report").naming.universe.startswith("reports/") + + +@requires_db +def test_universe_detail_exposes_chart_data() -> None: + """前端图表所需数据由后端算好（前端不做业务计算）。""" + from hdiv.web import service + + runs = service.list_universes() + if not runs: + pytest.skip("没有筛选记录") + u = service.get_universe(runs[0]["run_id"]) + f = u["funnel"] + assert len(f["labels"]) == len(f["values"]) == 5 + # 漏斗最后一段必须等于入选数，否则 stats 不自洽 + assert f["values"][-1] == u["member_count"] + assert f["values"][0] == u["candidate_count"] + # 存活数必须单调不增 + assert all(f["values"][i] >= f["values"][i + 1] for i in range(len(f["values"]) - 1)), \ + f"漏斗存活数应单调不增：{f['values']}" + dist = u["industry_distribution"] + assert isinstance(dist, list) + if dist: + assert {"industry", "count"} <= set(dist[0]) + assert dist[0]["count"] >= dist[-1]["count"], "行业分布应按数量降序" + + +# --------------------------------------------------------------------------- +# 站点根 index.html 的所有权（曾发生真实事故） +# --------------------------------------------------------------------------- + + +def test_naming_index_is_under_reports() -> None: + """回归：静态报告索引曾与前端首页抢 output/index.html。 + + 命名配置里 index 漏配 reports/ 前缀 + 调用点硬编码 "index.html"， + 导致跑一次 `hdiv audit --html`（内部会 build_index）就把前端首页 + 覆盖成静态报告索引。 + """ + from hdiv.core.config import load_config + + naming = load_config("report").naming + assert naming.index == "reports/index.html", \ + f"naming.index 必须是 reports/index.html（当前 {naming.index}）" + # 所有静态报告都应在 reports/ 下，不占用站点根 + for key in ("index", "audit", "universe", "profile", "backtest", + "walkforward", "sensitivity"): + pattern = getattr(naming, key) + assert pattern.startswith("reports/"), \ + f"naming.{key} 应输出到 reports/ 下，不占用站点根：{pattern}" + + +def test_renderer_refuses_to_write_site_root_index() -> None: + """渲染器必须拒绝把报告写到站点根 index.html（前置拦截）。""" + from hdiv.core.errors import HdivError + from hdiv.report.renderer import Renderer + + r = Renderer() + for bad in ("index.html", "./index.html"): + with pytest.raises(HdivError, match="统一前端首页冲突"): + r.render("reports/index.html", {}, bad, report_type="index") + + +def test_site_root_index_is_spa() -> None: + """站点根 index.html 必须是前端外壳（引用 app/app.js），不是静态报告索引。""" + idx = project_root() / "output" / "index.html" + if not idx.is_file(): + pytest.skip("尚未生成站点") + html = idx.read_text(encoding="utf-8") + assert "app/app.js" in html, "output/index.html 不是统一前端外壳（可能被报告覆盖）" + assert "报告索引" not in html or "app/app.js" in html + + +def test_build_index_uses_naming_config() -> None: + """build_index 的输出路径必须来自 naming 配置，不能硬编码。""" + import inspect + + from hdiv.report import build + + src = inspect.getsource(build.build_index) + assert 'r.name_from("index")' in src, "build_index 应使用 naming 配置生成文件名" + # 不应再把 "index.html" 当输出名直接传进去 + assert ' "index.html",\n' not in src, "build_index 仍在硬编码输出名" + + +def test_site_build_does_not_clobber_spa() -> None: + """site.sync_frontend 之后，站点根 index.html 必须仍是 SPA。""" + from hdiv.web import site + + site.sync_frontend(verbose=False) + html = (project_root() / "output" / "index.html").read_text(encoding="utf-8") + assert "app/app.js" in html diff --git a/web/app.css b/web/app.css new file mode 100644 index 0000000..fe8e913 --- /dev/null +++ b/web/app.css @@ -0,0 +1,159 @@ +/* ============================================================ + 高股息回测系统 · 统一前端样式 + 配色与静态报告保持一致（Blue data + Amber highlight） + A 股约定：红涨绿跌 + ============================================================ */ +:root{ + --primary:#1E40AF; --primary-fg:#fff; --secondary:#3B82F6; --accent:#D97706; + --bg:#F8FAFC; --card:#fff; --muted:#E9EEF6; --border:#DBEAFE; + --text:#0F172A; --text-muted:#64748B; --danger:#DC2626; + --gain:#DC2626; --loss:#059669; + --radius:8px; --pill:999px; + --mono:"Fira Code",ui-monospace,SFMono-Regular,Menlo,Consolas,monospace; + --sans:-apple-system,BlinkMacSystemFont,"PingFang SC","Hiragino Sans GB", + "Microsoft YaHei","Segoe UI",Roboto,sans-serif; +} +*,*::before,*::after{box-sizing:border-box} +body{margin:0;background:var(--bg);color:var(--text);font:14px/1.6 var(--sans); + font-variant-numeric:tabular-nums} +a{color:var(--primary);text-decoration:none} +a:hover{text-decoration:underline} + +/* ---------- 顶栏 ---------- */ +.topbar{display:flex;align-items:center;gap:24px;padding:0 24px;height:56px; + background:var(--primary);color:var(--primary-fg);position:sticky;top:0;z-index:50} +.brand{color:var(--primary-fg);font-weight:700;font-size:16px;letter-spacing:-.01em} +.brand:hover{text-decoration:none;opacity:.9} +.nav{display:flex;gap:4px;flex:1} +.nav a{color:rgba(255,255,255,.82);padding:6px 12px;border-radius:var(--radius); + font-size:13px} +.nav a:hover{background:rgba(255,255,255,.12);text-decoration:none;color:#fff} +.nav a.active{background:rgba(255,255,255,.2);color:#fff;font-weight:600} +.topbar-right{display:flex;align-items:center;gap:10px} +.topbar .muted{color:rgba(255,255,255,.7)} + +.wrap{max-width:1440px;margin:0 auto;padding:24px} +.foot{max-width:1440px;margin:0 auto;padding:20px 24px 40px} + +/* ---------- 徽章 ---------- */ +.badge{display:inline-block;padding:1px 9px;border-radius:var(--pill);font-size:11px; + font-weight:600;background:var(--muted);color:var(--primary);white-space:nowrap} +.badge.ok{background:#D1FAE5;color:#065F46} +.badge.warn{background:#FEF3C7;color:#92400E} +.badge.fail{background:#FEE2E2;color:#991B1B} +.badge.info{background:var(--muted);color:var(--primary)} +.badge.gain{background:#FEE2E2;color:#991B1B} +.badge.loss{background:#D1FAE5;color:#065F46} +.badge.dim{background:#F1F5F9;color:#94A3B8} + +/* ---------- 卡片 / 栅格 ---------- */ +.card{background:var(--card);border:1px solid var(--border);border-radius:var(--radius); + padding:20px;margin-bottom:20px} +.card>h2{margin:0 0 14px;font-size:15px;font-weight:600;color:var(--primary); + padding-bottom:8px;border-bottom:2px solid var(--muted); + display:flex;align-items:center;gap:8px} +.card>h3{margin:16px 0 8px;font-size:13px;color:var(--primary)} +.kpi-grid{display:grid;gap:14px;margin-bottom:20px; + grid-template-columns:repeat(auto-fit,minmax(160px,1fr))} +.kpi{background:var(--card);border:1px solid var(--border);border-radius:var(--radius); + padding:14px} +.kpi .label{font-size:12px;color:var(--text-muted);letter-spacing:.03em} +.kpi .value{font-family:var(--mono);font-size:22px;font-weight:600;margin-top:4px} +.kpi .note{font-size:11px;color:var(--text-muted);margin-top:4px} +.gain{color:var(--gain)} .loss{color:var(--loss)} +.grid2{display:grid;gap:20px;grid-template-columns:repeat(auto-fit,minmax(420px,1fr))} + +/* ---------- 列表（卡片式记录） ---------- */ +.rec-list{display:flex;flex-direction:column;gap:10px} +.rec{background:var(--card);border:1px solid var(--border);border-radius:var(--radius); + padding:14px 16px;display:flex;gap:16px;align-items:flex-start;transition:.12s} +.rec:hover{border-color:var(--secondary);box-shadow:0 2px 10px rgba(30,64,175,.07)} +.rec.dim{opacity:.55;background:#FCFDFF} +.rec-main{flex:1;min-width:0} +.rec-title{font-weight:600;color:var(--primary);font-size:15px; + display:flex;align-items:center;gap:8px;flex-wrap:wrap} +.rec-title a{color:inherit} +.rec-meta{font-size:12px;color:var(--text-muted);margin-top:5px; + display:flex;gap:14px;flex-wrap:wrap} +.rec-actions{display:flex;gap:6px;flex-wrap:wrap;justify-content:flex-end; + max-width:330px} +.rec-metrics{display:flex;gap:18px;flex-wrap:wrap;margin-top:10px} +.rec-metric{font-size:12px;color:var(--text-muted)} +.rec-metric b{display:block;font-family:var(--mono);font-size:15px;color:var(--text)} + +/* ---------- 按钮 ---------- */ +button,.btn{font:inherit;font-size:12px;padding:5px 11px;border-radius:6px;cursor:pointer; + border:1px solid var(--border);background:var(--card);color:var(--primary); + transition:.12s;white-space:nowrap} +button:hover,.btn:hover{border-color:var(--secondary);background:#EFF6FF} +button.primary{background:var(--primary);color:#fff;border-color:var(--primary)} +button.primary:hover{background:#1D4ED8} +button.danger{color:var(--danger);border-color:#FECACA} +button.danger:hover{background:#FEF2F2;border-color:var(--danger)} +button.ghost{color:var(--text-muted)} +button:disabled{opacity:.5;cursor:not-allowed} + +/* ---------- 表格 ---------- */ +.tw{overflow:auto;border:1px solid var(--border);border-radius:var(--radius)} +table.data{width:100%;border-collapse:collapse;font-size:13px;background:var(--card)} +table.data th,table.data td{padding:7px 11px;border-bottom:1px solid var(--muted); + text-align:right;white-space:nowrap} +table.data th{background:var(--muted);color:var(--primary);font-weight:600; + position:sticky;top:0;z-index:1} +table.data th:first-child,table.data td:first-child{text-align:left} +table.data th.l,table.data td.l{text-align:left} +table.data td.num{font-family:var(--mono)} +table.data tbody tr:hover{background:#F1F5F9} +table.data tbody tr:last-child td{border-bottom:none} +.pager{display:flex;gap:10px;align-items:center;justify-content:flex-end; + margin-top:12px;font-size:12px;color:var(--text-muted)} + +/* ---------- 表单 ---------- */ +input[type=text],input[type=search],select,textarea{ + font:inherit;font-size:13px;padding:6px 10px;border:1px solid var(--border); + border-radius:6px;background:#fff;color:var(--text);width:100%} +input:focus,select:focus,textarea:focus{outline:2px solid var(--secondary); + outline-offset:-1px;border-color:var(--secondary)} +.field{display:flex;flex-direction:column;gap:5px;margin-bottom:12px} +.field label{font-size:12px;color:var(--text-muted)} +.toolbar{display:flex;gap:10px;align-items:center;margin-bottom:16px;flex-wrap:wrap} +.toolbar .grow{flex:1;min-width:200px} +.check{display:flex;align-items:center;gap:6px;font-size:12px;color:var(--text-muted)} + +/* ---------- 提示 ---------- */ +.callout{border-left:4px solid var(--secondary);background:#EFF6FF;padding:10px 14px; + border-radius:0 var(--radius) var(--radius) 0;margin:0 0 16px;font-size:13px} +.callout.ok{border-color:var(--loss);background:#ECFDF5} +.callout.warn{border-color:var(--accent);background:#FFFBEB} +.callout.fail{border-color:var(--danger);background:#FEF2F2} +.muted{color:var(--text-muted)} .small{font-size:12px} +.mono{font-family:var(--mono)} +.chart{width:100%;height:420px} +.chart.tall{height:640px} .chart.short{height:260px} +.loading{padding:60px;text-align:center;color:var(--text-muted)} +.empty{padding:44px;text-align:center;color:var(--text-muted)} + +/* ---------- Toast ---------- */ +.toast{position:fixed;left:50%;bottom:32px;transform:translateX(-50%) translateY(20px); + background:#0F172A;color:#fff;padding:10px 18px;border-radius:var(--radius); + font-size:13px;opacity:0;pointer-events:none;transition:.2s;z-index:99;max-width:80vw} +.toast.show{opacity:1;transform:translateX(-50%) translateY(0)} +.toast.err{background:var(--danger)} + +/* ---------- 模态 ---------- */ +.modal-bg{position:fixed;inset:0;background:rgba(15,23,42,.45);display:flex; + align-items:center;justify-content:center;z-index:100;padding:20px} +.modal{background:#fff;border-radius:var(--radius);padding:22px;width:min(560px,100%); + max-height:85vh;overflow:auto} +.modal h3{margin:0 0 16px;font-size:15px;color:var(--primary)} +.modal-actions{display:flex;gap:10px;justify-content:flex-end;margin-top:18px} + +/* ---------- 面包屑 ---------- */ +.crumb{font-size:12px;color:var(--text-muted);margin-bottom:14px} +.crumb a{color:var(--text-muted)} +.crumb span{margin:0 6px} +h1.page{font-size:20px;margin:0 0 6px;letter-spacing:-.01em} +.page-sub{color:var(--text-muted);font-size:13px;margin-bottom:18px} + +/* ---------- 图表面板标签 ---------- */ +.panel-grid{display:grid;gap:20px;grid-template-columns:repeat(auto-fit,minmax(380px,1fr))} diff --git a/web/app.js b/web/app.js new file mode 100644 index 0000000..419dd20 --- /dev/null +++ b/web/app.js @@ -0,0 +1,909 @@ +/* ============================================================ + 高股息回测系统 · 统一前端 + 前后端分离：本文件只通过 /api/* 读写数据，不做任何指标计算。 + 路由使用 hash（#/...），因此 nginx 只需托管静态文件 + 反代 /api。 + ============================================================ */ +'use strict'; + +const API = (() => { + // 允许把前端挂在与 API 不同的路径下： + const meta = document.querySelector('meta[name="api-base"]'); + return (meta && meta.content) || 'api'; +})(); + +const COLORS = ['#1E40AF','#D97706','#3B82F6','#059669','#DC2626', + '#7C3AED','#0891B2','#CA8A04','#DB2777','#65A30D']; + +/* ---------------- 工具 ---------------- */ +const esc = s => String(s ?? '').replace(/[&<>"']/g, + c => ({'&':'&','<':'<','>':'>','"':'"',"'":'''}[c])); + +const num = (v, d = 2) => (v === null || v === undefined || Number.isNaN(v)) + ? '—' : Number(v).toLocaleString('zh-CN', {minimumFractionDigits: d, maximumFractionDigits: d}); +const pct = (v, d = 2) => (v === null || v === undefined || Number.isNaN(v)) + ? '—' : (v * 100).toFixed(d) + '%'; +const yi = v => (v === null || v === undefined) ? '—' + : (Math.abs(v) >= 1e8 ? (v/1e8).toFixed(1) + ' 亿' : num(v, 0)); +const sign = v => (v === null || v === undefined) ? '' : (v > 0 ? 'gain' : (v < 0 ? 'loss' : '')); + +function toast(msg, isErr) { + const t = document.getElementById('toast'); + t.textContent = msg; + t.className = 'toast show' + (isErr ? ' err' : ''); + clearTimeout(t._timer); + t._timer = setTimeout(() => { t.className = 'toast'; }, 2600); +} + +async function api(path, opts) { + const res = await fetch(`${API}/${path}`, Object.assign({ + headers: {'Content-Type': 'application/json'} + }, opts)); + const text = await res.text(); + let data; + try { data = text ? JSON.parse(text) : {}; } catch (e) { data = {error: text.slice(0,200)}; } + if (!res.ok) throw new Error(data.error || `HTTP ${res.status}`); + return data; +} + +const patch = (path, body) => + api(path, {method: 'PATCH', body: JSON.stringify(body)}); + +/* ---------------- 图表管理 ---------------- */ +const charts = []; +function chart(id, option) { + const el = document.getElementById(id); + if (!el || typeof echarts === 'undefined') return null; + const c = echarts.init(el); + c.setOption(Object.assign({color: COLORS}, option)); + charts.push(c); + return c; +} +function disposeCharts() { while (charts.length) { try { charts.pop().dispose(); } catch (e) {} } } +window.addEventListener('resize', () => charts.forEach(c => c.resize())); + +/* ---------------- 模态框 ---------------- */ +function modal(title, fields, onOk) { + const bg = document.createElement('div'); + bg.className = 'modal-bg'; + bg.innerHTML = `
+

${esc(title)}

+ ${fields.map(f => `
+ + ${f.type === 'textarea' + ? `` + : ``} +
`).join('')} +
+ + +
`; + document.body.appendChild(bg); + const close = () => bg.remove(); + bg.addEventListener('click', e => { + if (e.target === bg || e.target.dataset.act === 'cancel') close(); + if (e.target.dataset.act === 'ok') { + const out = {}; + fields.forEach(f => { out[f.key] = document.getElementById('f_' + f.key).value.trim(); }); + close(); + onOk(out); + } + }); + const first = bg.querySelector('input,textarea'); + if (first) { first.focus(); first.select(); } +} + +/* ---------------- 视图：概览 ---------------- */ +async function viewHome() { + const [s, us, bs] = await Promise.all([ + api('summary'), api('universes'), api('backtests') + ]); + document.getElementById('db-info').textContent = s.db || ''; + + const kpi = (label, value, note, cls) => `
+
${esc(label)}
+
${value}
+
${esc(note)}
`; + + return ` +

概览

+
数据来自 ${esc(s.db)}；最近同步 ${esc(s.last_sync || '—')}
+ +
+ ${kpi('股票池筛选记录', s.universes_active, `共 ${s.universes} 条（含归档）`)} + ${kpi('回测记录', s.backtests_active, `共 ${s.backtests} 条（含归档）`)} + ${kpi('最新筛选时点', s.latest_asof || '—', 'Point-in-Time')} + ${kpi('Walk-forward', s.walkforwards, '样本外验证运行数')} + ${kpi('画像运行', s.profiles, '个股特性画像批次')} + ${kpi('参数敏感性', s.sensitivities, '扫描运行数')} +
+ +
+

最近的股票池筛选 查看全部 →

+ ${us.items.length ? `
${us.items.slice(0,4).map(recUniverse).join('')}
` + : '
还没有筛选记录。
运行 python -m hdiv universe --asof 2024-06-28 创建一条。
'} +
+ +
+

最近的回测 查看全部 →

+ ${bs.items.length ? `
${bs.items.slice(0,4).map(recBacktest).join('')}
` + : '
还没有回测记录。
运行 python -m hdiv backtest 创建一条。
'} +
`; +} + +/* ---------------- 视图：股票池列表 ---------------- */ +function recUniverse(u) { + return `
+
+
+ ${esc(u.title)} + ${u.state === 'archived' ? '已归档' : ''} + ${u.state === 'deleted' ? '已删除' : ''} + ${u.linked_backtests ? `关联 ${u.linked_backtests} 次回测` : ''} +
+
+ 时点 ${esc(u.asof_date)} + 候选 ${num(u.candidate_count,0)} + 入选 ${num(u.member_count,0)} + ${esc((u.created_at||'').slice(0,16))} +
+ ${u.notes ? `
备注：${esc(u.notes)}
` : ''} +
+
+ + + + ${u.state === 'deleted' + ? `` + : ``} +
+
`; +} + +async function viewUniverses(params) { + const incArch = params.get('archived') === '1'; + const incDel = params.get('deleted') === '1'; + const q = params.get('q') || ''; + const d = await api(`universes?include_archived=${incArch?1:0}&include_deleted=${incDel?1:0}` + + (q ? `&q=${encodeURIComponent(q)}` : '')); + + return ` +

股票池筛选记录

+
每次 hdiv universe 执行产生一条记录。可命名、归档或删除。
+
+ 「删除」是软删除：记录被隐藏，但数据仍完整保留在数据库中，可随时恢复。 + 本项目对研究数据坚持只增不删。 +
+
+
+ + + +
+ ${d.items.length ? `
${d.items.map(recUniverse).join('')}
` + : '
没有匹配的筛选记录。
'}`; +} + +/* ---------------- 视图：股票池详情 ---------------- */ +async function viewUniverseDetail(runId, params) { + const passed = params.get('passed'); + const page = params.get('page') || 1; + const q = params.get('q') || ''; + const showAll = passed === 'all'; + const query = `passed=${showAll ? 'all' : (passed === '0' ? '0' : '1')}` + + `&page=${page}&size=50` + (q ? `&q=${encodeURIComponent(q)}` : ''); + + const [u, m, bts] = await Promise.all([ + api(`universes/${runId}`), api(`universes/${runId}/members?${query}`), + api(`universes/${runId}/backtests`) + ]); + + const rows = m.items.map(x => ` + ${esc(x.symbol)} + ${esc(x.name || '')} + ${esc(x.industry || '')} + ${pct(x.dividend_yield)} + ${x.dividend_continuity_years ?? '—'} + ${pct(x.payout_ratio)} + ${num(x.fcf_dividend_cover)} + ${pct(x.roe)} + ${pct(x.debt_ratio)} + ${yi(x.total_mv)} + ${x.passed ? '入选' + : `${esc(x.fail_stage || '')} ${esc(x.fail_reason || '')}`} + `).join(''); + + const stats = u.stats || {}; + const stages = ['market','risk','dividend','quality'].map(k => + `${k} 淘汰 ${stats[k] ?? '—'}`).join(''); + + return ` +
股票池筛选/${esc(u.asof_date)}
+

${esc(u.title)}

+
+ 时点 ${esc(u.asof_date)} · + 候选 ${num(u.candidate_count,0)} · 入选 ${num(u.member_count,0)} · + ${esc(u.run_id)} +
+ +
+

记录操作

+
+ + + ${u.deleted_at + ? `` + : ``} + ${u.state !== 'active' ? `${u.state === 'archived' ? '已归档':'已删除'}` : ''} +
+ ${u.notes ? `
备注：${esc(u.notes)}
` : ''} +
+ +
+
+

筛选漏斗

+
+
+ 候选${num(u.candidate_count,0)} + 入选${num(u.member_count,0)} + 通过率${u.candidate_count ? ((u.member_count/u.candidate_count)*100).toFixed(2)+'%' : '—'} +
+
+
+

行业分布 ${(u.industry_distribution||[]).length} 个行业

+
+
+
+ +
+

关联的回测 ${bts.items.length}

+ ${bts.items.length + ? `
${bts.items.map(b => recBacktest(b, true)).join('')}
` + : `
这条筛选记录还没有关联回测。
+ 运行 python -m hdiv backtest --universe-run ${esc(runId)}， + 或在下方「回测」页把已有回测关联过来。
`} +
+ +
+

股票清单 ${num(m.total,0)}

+
+
+ + +
+
+ + + + + + ${rows || ''} +
代码名称行业股息率连续分红支付率FCF覆盖ROE负债率总市值结果 / 未通过原因
无数据
+
+ 第 ${m.page} / ${m.pages || 1} 页，共 ${num(m.total,0)} 条 + + +
+
${stages}
+
+ +
+

生效的筛选配置

+
展开完整 JSON + 
${esc(JSON.stringify(u.config, null, 2))}
+
+
`; +} + +/* 股票池详情的图表：数据由后端算好，前端只渲染 */ +function mountUniverseDetail(u) { + const f = u.funnel; + if (f && f.labels && f.labels.length) { + // 横向条形：候选（数千只）会压倒其余各段，这是事实本身 + // （92% 在市值门槛就被淘汰）。因此在条末直接标数值，保证小段也可读。 + const rows = f.labels.map((l, i) => ({ + name: l, value: f.values[i], + eliminated: i === 0 ? null : f.eliminated[i - 1] + })).reverse(); + chart('u_funnel', { + tooltip: { + trigger: 'item', + formatter: p => { + const d = rows[p.dataIndex]; + return `${d.name}
存活 ${d.value.toLocaleString()}` + + (d.eliminated != null ? `
本环节淘汰 ${d.eliminated.toLocaleString()}` : ''); + } + }, + grid: {left: 74, right: 76, top: 12, bottom: 24}, + xAxis: {type: 'value', axisLabel: {color: '#64748B'}, + splitLine: {lineStyle: {color: '#E9EEF6'}}}, + yAxis: {type: 'category', data: rows.map(r => r.name), + axisLabel: {color: '#64748B'}, axisTick: {show: false}}, + series: [{ + type: 'bar', barMaxWidth: 22, + data: rows.map(r => r.value), + itemStyle: {color: p => COLORS[Math.min(p.dataIndex, COLORS.length - 1)]}, + label: {show: true, position: 'right', color: '#0F172A', fontSize: 11, + formatter: p => p.value.toLocaleString()} + }] + }); + } + + const dist = (u.industry_distribution || []).slice(0, 12); + if (dist.length) { + chart('u_industry', { + tooltip: {trigger: 'item', formatter: p => `${p.name}
${p.value} 只（${p.percent}%）`}, + grid: {left: 92, right: 60, top: 10, bottom: 24}, + xAxis: {type: 'value', axisLabel: {color: '#64748B'}, + splitLine: {lineStyle: {color: '#E9EEF6'}}}, + yAxis: {type: 'category', data: dist.map(d => d.industry).reverse(), + axisLabel: {color: '#64748B'}, axisTick: {show: false}}, + series: [{ + type: 'bar', barMaxWidth: 18, + data: dist.map(d => d.count).reverse(), + itemStyle: {color: COLORS[0]}, + label: {show: true, position: 'right', color: '#0F172A', fontSize: 11} + }] + }); + } +} + +/* ---------------- 视图：个股画像 ---------------- */ +async function viewStock(symbol) { + let d; + try { d = await api(`stocks/${encodeURIComponent(symbol)}`); } + catch (e) { + return `
返回
+
无法打开画像：${esc(e.message)}
`; + } + const info = d.info || {}; + const ys = d.yield_summary || {}; + const cur = ys.current_value, cp = ys.current_percentile; + + const statRows = (d.stats || []).map(s => { + const u = UNIT[s.metric_code] || 'ratio'; + const f = v => fmtUnit(v, u); + return ` + ${esc(LABEL[s.metric_code] || s.metric_code)} + ${s.window_years == 0 ? '全历史' : s.window_years + '年'} + ${num(s.n_obs,0)} + ${f(s.min_value)}${f(s.p10)} + ${f(s.p25)}${f(s.p50)} + ${f(s.p75)}${f(s.p90)} + ${f(s.max_value)} + ${f(s.current_value)} + ${num(s.current_percentile,1)}% + ${esc(s.status)} + `; + }).join(''); + + const scoreRows = (d.scores || []).map(s => ` + ${esc(SCORE_LABEL[s.score_code] || s.score_code)} + ${num(s.score,1)}`).join(''); + + return ` +
概览/个股画像
+

${esc(info.name || symbol)} ${esc(symbol)}

+
${esc(info.industry || '—')} · ${esc(info.market || '')} · + 上市 ${esc(info.list_date || '—')} · 画像时点 ${esc((d.profile_run && d.profile_run.asof_date) || '—')}
+ +
+
当前股息率
+
${pct(cur)}
+
TTM 每股分红 / 不复权收盘价
+
历史分位
+
${num(cp,1)}%
+
当前值在自身历史分布中的位置
+
P75 / P25
+
${pct(ys.p75)} / ${pct(ys.p25)}
+
买入 / 卖出阈值参考
+
样本观测
+
${num(ys.n_obs,0)}
+
日频观测数
+
+ +
+

K线 · 股息率 · PE · 回撤

+
+
+ +
+

股息率历史分布

+

安全边际分项得分

+ ${scoreRows ? `
+
+ ${scoreRows}
分项得分
` + : '
分项数据不足，未计算得分（不使用残缺数据造分）。
'} +
+
+ +
+

历史分布统计

+
+ + + + ${statRows || ''} +
指标窗口样本MinP10P25P50P75P90Max当前分位状态
无数据
+
`; +} + +function mountStock(d) { + const ch = d.chart || {}; + if (!ch.dates || !ch.dates.length) return; + const grid = (t,h) => ({left:62,right:62,top:t,height:h}); + chart('c_main', { + tooltip:{trigger:'axis',axisPointer:{type:'cross'}}, + axisPointer:{link:[{xAxisIndex:'all'}]}, + legend:{top:0,textStyle:{color:'#64748B'}}, + grid:[grid(34,190),grid(262,120),grid(420,110)], + xAxis:[ + {type:'category',data:ch.dates,gridIndex:0,axisLabel:{show:false},axisTick:{show:false}}, + {type:'category',data:ch.dates,gridIndex:1,axisLabel:{show:false},axisTick:{show:false}}, + {type:'category',data:ch.dates,gridIndex:2, + axisLabel:{color:'#64748B',formatter:v=>String(v).slice(0,7)}}], + yAxis:[ + {scale:true,gridIndex:0,name:'价格',axisLabel:{color:'#64748B'},splitLine:{lineStyle:{color:'#E9EEF6'}}}, + {scale:true,gridIndex:1,name:'股息率%',axisLabel:{color:'#64748B',formatter:v=>(v*100).toFixed(1)}, + splitLine:{lineStyle:{color:'#E9EEF6'}}}, + {scale:true,gridIndex:2,name:'PE',axisLabel:{color:'#64748B'},splitLine:{lineStyle:{color:'#E9EEF6'}}}], + dataZoom:[{type:'inside'},{type:'slider',height:16,bottom:8}], + series:[ + {name:'收盘价',type:'line',xAxisIndex:0,yAxisIndex:0,data:ch.close,showSymbol:false, + lineStyle:{width:1.4,color:COLORS[0]}}, + {name:'股息率',type:'line',xAxisIndex:1,yAxisIndex:1,data:ch.dv_yield,showSymbol:false, + lineStyle:{width:1.6,color:COLORS[1]},areaStyle:{opacity:.12}, + markLine:{silent:true,symbol:'none',data:[ + ...(d.yield_summary && d.yield_summary.p75 != null ? [{yAxis:d.yield_summary.p75, + lineStyle:{color:COLORS[4],type:'dashed'}, + label:{formatter:'买入 P75',color:COLORS[4],position:'insideEndTop'}}] : []), + ...(d.yield_summary && d.yield_summary.p25 != null ? [{yAxis:d.yield_summary.p25, + lineStyle:{color:COLORS[3],type:'dashed'}, + label:{formatter:'卖出 P25',color:COLORS[3],position:'insideEndBottom'}}] : [])]}}, + {name:'PE(TTM)',type:'line',xAxisIndex:2,yAxisIndex:2,data:ch.pe_ttm,showSymbol:false, + lineStyle:{width:1.2,color:COLORS[2]}}] + }); + + // 直方图（用序列值前端分箱，属于纯呈现，不是业务计算） + const vals = (ch.dv_yield || []).filter(v => v != null && v > 0); + if (vals.length) { + const lo = Math.min(...vals), hi = Math.max(...vals), N = 12; + const w = (hi - lo) / N || 1; + const counts = new Array(N).fill(0); + vals.forEach(v => counts[Math.min(N-1, Math.floor((v - lo) / w))]++); + const labels = counts.map((_, i) => ((lo + w*(i+0.5))*100).toFixed(2) + '%'); + chart('c_hist', { + tooltip:{trigger:'axis'}, + grid:{left:56,right:20,top:20,bottom:44}, + xAxis:{type:'category',data:labels,axisLabel:{color:'#64748B',rotate:40,fontSize:10}}, + yAxis:{type:'value',name:'天数',axisLabel:{color:'#64748B'},splitLine:{lineStyle:{color:'#E9EEF6'}}}, + series:[{type:'bar',data:counts,itemStyle:{color:COLORS[0]},barMaxWidth:24}] + }); + } + + if (d.scores && d.scores.length) { + const ind = d.scores.filter(s => s.score != null && s.score_code !== 'composite') + .map(s => ({name: SCORE_LABEL[s.score_code] || s.score_code, max: 100})); + const val = d.scores.filter(s => s.score != null && s.score_code !== 'composite') + .map(s => Number(s.score.toFixed(1))); + if (ind.length >= 3) { + chart('c_score', { + tooltip:{}, radar:{indicator:ind,axisName:{color:'#64748B',fontSize:11}, + splitLine:{lineStyle:{color:'#E9EEF6'}},splitArea:{areaStyle:{color:['#fff','#F8FAFC']}}}, + series:[{type:'radar',data:[{value:val,name:'安全边际',areaStyle:{opacity:.2}, + lineStyle:{color:COLORS[0]},itemStyle:{color:COLORS[0]}}]}] + }); + } + } +} + +const LABEL = {dv_yield:'股息率',pe_ttm:'PE(TTM)',pb:'PB',ps_ttm:'PS(TTM)',close:'收盘价', + drawdown:'回撤',ttm_dps:'TTM 每股分红',dps:'每股分红',roe:'ROE',roic:'ROIC', + gross_margin:'毛利率',net_margin:'净利率',debt_ratio:'资产负债率', + ocf_to_profit:'经营现金流/净利润',payout_ratio:'分红支付率', + fcf_dividend_cover:'FCF 对分红覆盖',dividend_continuity_years:'连续分红年数', + dividend_years_in_window:'窗口内分红年数',dps_cagr_5y:'DPS 5年复合增速', + dps_volatility:'DPS 波动率',free_cashflow:'自由现金流',total_cash_dividend:'总现金分红', + vol_250d:'年化波动率',max_drawdown_3y:'3年最大回撤',beta_300:'Beta(沪深300)', + avg_amount_20d:'20日均成交额',ret_1y:'近1年收益',ret_3y:'近3年收益', + ret_5y:'近5年收益',cagr_5y:'5年复合收益',roe_avg:'ROE(5年均)',roic_avg:'ROIC(5年均)', + gross_margin_avg:'毛利率(5年均)',net_margin_avg:'净利率(5年均)', + ocf_to_profit_avg:'经营现金流/净利润(5年均)',dv_vol_daily:'股息率日频波动', + dv_vol_monthly:'股息率月频波动',dv_vol_quarterly:'股息率季频波动', + dv_vol_annual:'股息率年频波动',n_income_attr_p:'归母净利润',total_assets:'总资产'}; +const UNIT = {dv_yield:'pct',drawdown:'pct',roe:'pct',roic:'pct',gross_margin:'pct', + net_margin:'pct',debt_ratio:'pct',payout_ratio:'pct',dps_cagr_5y:'pct', + vol_250d:'pct',max_drawdown_3y:'pct',ret_1y:'pct',ret_3y:'pct',ret_5y:'pct', + cagr_5y:'pct',roe_avg:'pct',roic_avg:'pct',gross_margin_avg:'pct', + net_margin_avg:'pct',dv_vol_daily:'ratio',dv_vol_monthly:'ratio', + dv_vol_quarterly:'ratio',dv_vol_annual:'ratio',dividend_continuity_years:'int', + dividend_years_in_window:'int',avg_amount_20d:'money',free_cashflow:'money', + total_cash_dividend:'money',n_income_attr_p:'money',total_assets:'money', + close:'price',dps:'price',ttm_dps:'price'}; +const SCORE_LABEL = {dividend_yield:'股息率安全边际',valuation:'估值安全边际', + financial_quality:'财务质量',balance_sheet:'资产负债表', + dividend_quality:'分红质量',composite:'综合得分'}; + +function fmtUnit(v, u) { + if (v === null || v === undefined) return '—'; + if (u === 'pct') return pct(v); + if (u === 'money') return yi(v); + if (u === 'int') return num(v, 0); + return num(v, u === 'price' ? 2 : 4); +} + +/* ---------------- 视图：回测列表 ---------------- */ +function recBacktest(b, compact) { + const m = b.metrics || {}; + return `
+
+
+ ${esc(b.title)} + ${b.state === 'archived' ? '已归档' : ''} + ${b.state === 'deleted' ? '已删除' : ''} + ${b.mode && b.mode !== 'single' ? `${esc(b.mode)}` : ''} +
+ ${compact ? '' : `
+ ${esc(b.start_date)} ~ ${esc(b.end_date)} + ${esc((b.created_at||'').slice(0,16))} + ${b.universe_run_id ? `← 来源股票池` : ''} +
`} + ${(b.strategy && b.strategy.conditions) + ? `
${b.strategy.conditions.map(c => + `${esc(c.group)}：${esc(c.text)}`).join('')}
` : ''} + ${m.total_return != null ? `
+ 总收益${pct(m.total_return)} + CAGR${pct(m.cagr)} + 最大回撤${pct(m.max_drawdown)} + Sharpe${num(m.sharpe)} + 成交${num(m.trade_count,0)} +
` : ''} +
+
+ + + + ${b.deleted_at + ? `` + : ``} +
+
`; +} + +async function viewBacktests(params) { + const incArch = params.get('archived') === '1'; + const d = await api(`backtests?include_archived=${incArch?1:0}`); + return ` +

回测记录

+
每条记录显示回测条件与总体结果。点击「打开详细结果」查看净值、指标与逐笔成交。
+
+ +
+ ${d.items.length ? `
${d.items.map(b => recBacktest(b)).join('')}
` + : `
还没有回测记录。
运行 python -m hdiv backtest 创建一条。
`}`; +} + +/* ---------------- 视图：回测详情 ---------------- */ +async function viewBacktestDetail(runId) { + const b = await api(`backtests/${runId}`); + const m = {}; + (await api(`backtests/${runId}/metrics`)).items + .filter(x => x.scope === 'all' && (!x.benchmark_code || x.benchmark_code === '')) + .forEach(x => { m[x.metric_code] = x.metric_value; }); + const rc = b.reconciliation || {}; + + return ` +
回测记录/${esc(b.strategy_id)}
+

${esc(b.title)}

+
${esc(b.start_date)} ~ ${esc(b.end_date)} · 模式 ${esc(b.mode)} · + ${esc(b.run_id)} + ${b.universe_run_id ? ` · 来源股票池 ${esc(b.universe_run_id)}` : ''} +
+ +
+
总收益
+
${pct(m.total_return)}
+
期初 ${yi(b.initial_capital)} → 期末 ${yi(b.final_capital)}
+
年化 CAGR
+
${pct(m.cagr)}
+
区间 ${num(m.years,2)} 年
+
最大回撤
+
${pct(m.max_drawdown)}
+
相对历史高点
+
Sharpe
+
${num(m.sharpe)}
+
Sortino ${num(m.sortino)} · Calmar ${num(m.calmar)}
+
成交笔数
+
${num(m.trade_count,0)}
+
胜率 ${pct(m.win_rate)} · 平均持仓 ${num(m.avg_holding_days,0)} 天
+
累计现金分红
+
${yi(b.total_dividend_net)}
+
已扣红利税 ${yi(b.total_dividend_tax)}
+
+ +
+ 资金对账${rc.balanced ? '通过' : '未通过'} —— + 恒等式「期初 = 期末现金 + 买入 − 卖出 + 费用 − 分红」残差 + ${num(rc.residual, 4)} 元。 + ${rc.balanced ? '成本与分红入账完整无遗漏。' : '此时不应采信上方绩效指标。'} +
+ +

净值曲线与基准

+ +
+

回测条件

+
+ + ${(b.strategy.conditions||[]).map(c => + ``).join('')} +
类别条件
${esc(c.group)}${esc(c.text)}
+ ${b.strategy.description ? `
${esc(b.strategy.description)}
` : ''} +
+ +
+

逐笔成交与理由 …

+
+ 每笔交易都记录了触发理由（当时的股息率、历史分位、Rule 与参照样本数）， + 可回答「为什么买」。点击行首展开完整 reason。 +
+
加载中…
+
+ + + +
+

可复现性

+
+ + + + + + +
策略${esc(b.strategy_id)} v${esc(b.strategy_version)}
配置指纹 config_hash${esc(b.config_hash||'—')}
数据版本 data_version${esc(b.data_version||'—')}
代码版本 code_version${esc(b.code_version||'—')}
随机种子 seed${esc(b.seed ?? '—')}
+ ${(b.unimplemented && b.unimplemented.length) + ? `
未建模部分（如实声明）： +
    ${b.unimplemented.map(x=>`
  • ${esc(x)}
    • `).join('')}
` + : ''} +
`; +} + +async function mountBacktestDetail(runId) { + const eq = await api(`backtests/${runId}/equity`); + if (eq.dates && eq.dates.length) { + chart('c_eq', { + tooltip:{trigger:'axis'}, legend:{top:0,textStyle:{color:'#64748B'}}, + grid:{left:66,right:30,top:38,bottom:56}, + xAxis:{type:'category',data:eq.dates,axisLabel:{color:'#64748B', + formatter:v=>String(v).slice(0,7)}}, + yAxis:{type:'value',scale:true,name:'净值',axisLabel:{color:'#64748B'}, + splitLine:{lineStyle:{color:'#E9EEF6'}}}, + dataZoom:[{type:'inside'},{type:'slider',height:16,bottom:12}], + series:[ + {name:'策略净值',type:'line',data:eq.nav,showSymbol:false,lineStyle:{width:2,color:COLORS[0]}}, + {name:'基准净值',type:'line',data:eq.bench,showSymbol:false, + lineStyle:{width:1.4,color:COLORS[1],type:'dashed'}}, + {name:'回撤',type:'line',data:eq.drawdown,showSymbol:false,yAxisIndex:0, + lineStyle:{width:1,color:COLORS[4]},areaStyle:{opacity:.1}}] + }); + } + + const t = await api(`backtests/${runId}/trades?size=200`); + document.getElementById('trade-count').textContent = t.total + ' 笔'; + const host = document.getElementById('trades'); + if (!t.items.length) { host.innerHTML = '
无成交记录
'; } + else { + host.innerHTML = `
+ + + + ${t.items.map((x,i)=>` + + + + + + + + + `).join('')} +
#代码信号日成交日方向价格数量金额费用已实现盈亏持仓天数触发理由
${i+1}${esc(x.symbol)}${esc(x.signal_date)}${esc(x.execution_date)}${esc(x.side)}${num(x.price,3)}${num(x.quantity,0)}${num(x.amount,0)}${num(x.total_cost,2)}${x.realized_pnl==null?'—':num(x.realized_pnl,0)}${x.holding_days ?? '—'}${esc(x.reason_text)}
+ ${t.total > t.items.length ? `
仅显示前 ${t.items.length} / ${t.total} 笔
` : ''}`; + } + + try { + const sk = await api(`backtests/${runId}/signals`); + if (sk.items && sk.items.length) { + document.getElementById('skips-card').style.display = ''; + document.getElementById('skips').innerHTML = `
+ + + ${sk.items.map(s=>` + + + + `).join('')} +
代码信号日类型分位未成交原因
${esc(s.symbol)}${esc(s.signal_date)}${esc(s.signal_type)}${num(s.yield_percentile,1)}%${esc(s.skip_label || '—')}
`; + } + } catch (e) { /* 未成交信号是可选信息，失败不影响主流程 */ } +} + +/* ---------------- 视图：归档 ---------------- */ +async function viewArchive() { + const [us, bs] = await Promise.all([ + api('universes?include_archived=1&include_deleted=1'), + api('backtests?include_archived=1&include_deleted=1') + ]); + const aus = us.items.filter(x => x.state !== 'active'); + const abs = bs.items.filter(x => x.state !== 'active'); + return ` +

归档与已删除

+
归档与软删除的记录仍完整保留在数据库中，可随时恢复。
+

股票池筛选 ${aus.length}

+ ${aus.length ? `
${aus.map(recUniverse).join('')}
` + : '
没有归档或删除的筛选记录。
'}
+

回测 ${abs.length}

+ ${abs.length ? `
${abs.map(recBacktest).join('')}
` + : '
没有归档或删除的回测记录。
'}
`; +} + +/* ---------------- 路由 ---------------- */ +let currentPath = ''; +function parseHash() { + const raw = location.hash.replace(/^#/, '') || '/'; + const [path, qs] = raw.split('?'); + return {parts: path.split('/').filter(Boolean), q: new URLSearchParams(qs || '')}; +} + +async function render() { + const view = document.getElementById('view'); + const {parts, q} = parseHash(); + const path = parts.join('/'); + if (path === currentPath) return; + currentPath = path; + disposeCharts(); + + document.querySelectorAll('.nav a').forEach(a => { + const key = a.dataset.nav; + const on = (key === 'home' && !parts.length) || + (key === 'universes' && parts[0] === 'universes') || + (key === 'backtests' && parts[0] === 'backtests') || + (key === 'archive' && parts[0] === 'archive'); + a.classList.toggle('active', !!on); + }); + + view.innerHTML = '
加载中…
'; + try { + let html = '', after = null; + if (!parts.length) html = await viewHome(); + else if (parts[0] === 'universes' && parts.length === 1) html = await viewUniverses(q); + else if (parts[0] === 'universes' && parts.length === 2) { + const u = await api(`universes/${parts[1]}`); + html = await viewUniverseDetail(parts[1], q); + after = () => mountUniverseDetail(u); + } + else if (parts[0] === 'stocks' && parts.length === 2) { + const d = await api(`stocks/${encodeURIComponent(parts[1])}`).catch(() => null); + html = await viewStock(parts[1]); + if (d) after = () => mountStock(d); + } + else if (parts[0] === 'backtests' && parts.length === 1) html = await viewBacktests(q); + else if (parts[0] === 'backtests' && parts.length === 2) { + html = await viewBacktestDetail(parts[1]); + after = () => mountBacktestDetail(parts[1]).catch(e => toast(e.message, true)); + } + else if (parts[0] === 'archive') html = await viewArchive(); + else html = `
未知页面：${esc(path)} +
返回概览
`; + view.innerHTML = html; + if (after) await after(); + } catch (e) { + view.innerHTML = `
加载失败：${esc(e.message)} +
请确认后端已启动（python -m hdiv web）， + 且 nginx 已把 /api 反代到该服务。
`; + } + window.scrollTo(0, 0); +} + +/* ---------------- 交互（事件委托） ---------------- */ +document.addEventListener('click', async e => { + const btn = e.target.closest('[data-act]'); + if (btn) { + e.preventDefault(); + const id = btn.dataset.id, act = btn.dataset.act, scope = btn.dataset.scope || 'u'; + const base = scope === 'b' ? 'backtests' : 'universes'; + try { + if (act === 'open') { + location.hash = `#/${base}/${id}`; return; + } + if (act === 'rename') { + const cur = await api(`${base}/${id}`); + modal(scope === 'b' ? '命名回测记录' : '命名筛选记录', + [{key:'display_name', label:'名称', value: cur.display_name || ''}, + {key:'notes', label:'备注', value: cur.notes || '', type:'textarea'}], + async v => { + await patch(`${base}/${id}`, v); + toast('已保存'); + if (scope === 'b' && cur.universe_run_id) + location.hash = `#/universes/${cur.universe_run_id}`; + else if (scope === 'u' && location.hash.includes(id)) + { currentPath=''; render(); } + else { currentPath=''; render(); } + }); + return; + } + if (act === 'archive') { + await patch(`${base}/${id}`, {archived: btn.dataset.to === '1'}); + toast(btn.dataset.to === '1' ? '已归档' : '已取消归档'); + currentPath = ''; render(); return; + } + if (act === 'delete') { + const del = btn.dataset.to === '1'; + if (del && !confirm('确认删除这条记录？\n\n（软删除：记录会被隐藏，但数据仍完整保留，可随时恢复）')) return; + await patch(`${base}/${id}`, {deleted: del}); + toast(del ? '已删除（可从「归档」页恢复）' : '已恢复'); + currentPath = ''; render(); return; + } + if (act === 'page') { + const {parts, q} = parseHash(); + q.set('page', btn.dataset.p); + location.hash = `#/${parts.join('/')}?${q.toString()}`; + currentPath = ''; render(); return; + } + } catch (err) { toast(err.message, true); } + return; + } + + // 列表页筛选控件 + if (e.target.id === 'doSearch' || e.target.id === 'mgo') { + const {parts, q} = parseHash(); + const qEl = document.getElementById('q') || document.getElementById('mq'); + if (qEl) q.set('q', qEl.value.trim()); + const fEl = document.getElementById('mfilter'); + if (fEl) { q.set('passed', fEl.value); q.set('page', '1'); } + location.hash = `#/${parts.join('/')}${q.toString() ? '?' + q.toString() : ''}`; + currentPath = ''; render(); return; + } +}); + +document.addEventListener('change', e => { + if (e.target.id === 'incArch' || e.target.id === 'incDel') { + const {parts, q} = parseHash(); + if (e.target.id === 'incArch') q.set('archived', e.target.checked ? '1' : '0'); + if (e.target.id === 'incDel') q.set('deleted', e.target.checked ? '1' : '0'); + location.hash = `#/${parts.join('/')}?${q.toString()}`; + currentPath = ''; render(); + } +}); + +document.addEventListener('keydown', e => { + if (e.key === 'Enter' && (e.target.id === 'q' || e.target.id === 'mq')) { + document.getElementById(e.target.id === 'q' ? 'doSearch' : 'mgo').click(); + } +}); + +window.addEventListener('hashchange', () => { currentPath = ''; render(); }); + +/* ---------------- 启动 ---------------- */ +(async function boot() { + const st = document.getElementById('api-status'); + try { + await api('health'); + st.textContent = 'API 正常'; st.className = 'badge ok'; + } catch (e) { + st.textContent = 'API 不可用'; st.className = 'badge fail'; + } + document.getElementById('foot-note').textContent = + '数据来自数据库，页面不做任何指标计算 · 删除为软删除，数据不做物理清除'; + render(); +})(); diff --git a/web/index.html b/web/index.html new file mode 100644 index 0000000..4df9a37 --- /dev/null +++ b/web/index.html @@ -0,0 +1,38 @@ + + + + + +高股息回测系统 + + + + + +
+ 高股息回测系统 + +
+ + 连接中… +
+
+ +
+
加载中…
+
+ +
+ +
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+ + + +