diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 421acce3..b166a34f 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -31,6 +31,12 @@ jobs: - name: Install documentation dependencies run: pip install "mkdocs-material>=9.5,<10" "mkdocs-llmstxt>=0.5.0,<1.0" + - name: Install batcontrol (for documentation data generation) + run: pip install -e . + + - name: Generate peak shaving scenario data + run: python scripts/generate_peak_shaving_csv.py + - name: Build documentation run: mkdocs build --strict diff --git a/.gitignore b/.gitignore index 2d098e67..c5cb0612 100644 --- a/.gitignore +++ b/.gitignore @@ -187,3 +187,8 @@ lib64 lib site/ + +# Peak shaving scenario datasets for the documentation. +# Generated from scripts/data/peak_shaving_example_day.{csv,yaml} by +# scripts/generate_peak_shaving_csv.py during the documentation build. +docs/assets/data/peak_shaving/ diff --git a/docs/assets/css/peak-shaving-charts.css b/docs/assets/css/peak-shaving-charts.css new file mode 100644 index 00000000..0be23b04 --- /dev/null +++ b/docs/assets/css/peak-shaving-charts.css @@ -0,0 +1,29 @@ +/* Layout for the peak shaving scenario charts (see peak-shaving-charts.js). */ + +.ps-chart { + position: relative; + width: 100%; + height: 420px; + margin: 1.2rem 0 1.8rem; +} + +@media screen and (max-width: 60em) { + .ps-chart { + height: 340px; + } +} + +.ps-summary { + overflow-x: auto; +} + +.ps-summary table { + width: 100%; + font-size: 0.78rem; +} + +.ps-error { + color: #e34948; + font-size: 0.8rem; + font-style: italic; +} diff --git a/docs/assets/js/peak-shaving-charts.js b/docs/assets/js/peak-shaving-charts.js new file mode 100644 index 00000000..0f318dc3 --- /dev/null +++ b/docs/assets/js/peak-shaving-charts.js @@ -0,0 +1,306 @@ +/* + * Renders the peak shaving scenario charts in the batcontrol documentation. + * + * Data comes from CSV files generated by + * scripts/generate_peak_shaving_csv.py into assets/data/peak_shaving/. + * The markdown only carries placeholders: + * + *
+ *
+ * + * Requires Chart.js (loaded via extra_javascript in mkdocs.yml). + */ +(function () { + 'use strict'; + + // Resolve the site root from this script's own URL so the CSV paths work + // on every page depth and under the /batcontrol/ project sub-path. + var SCRIPT_SRC = (document.currentScript && document.currentScript.src) || ''; + var SITE_ROOT = SCRIPT_SRC.replace(/assets\/js\/peak-shaving-charts\.js.*$/, ''); + var DATA_DIR = SITE_ROOT + 'assets/data/peak_shaving/'; + + // Palette shared with scripts/plot_solar_limit_day.py + var C_PV = '#2a78d6'; + var C_LIMIT = '#0b0b0b'; + var C_CHARGE = '#1baf7a'; + var C_LOST = '#e34948'; + var C_SOC = '#eb6834'; + var C_BASE = '#898781'; + + var FEED_IN_LIMIT_W = 4000; + // The example day is only interesting around daylight; the CSV + // still carries all 96 slots. + var X_FROM = '05:00'; + var X_TO = '21:00'; + + var cache = {}; + var charts = []; + + function isDark() { + return document.body.getAttribute('data-md-color-scheme') === 'slate'; + } + + function themeColors() { + return isDark() + ? { text: '#c9c7c0', grid: 'rgba(255,255,255,0.10)', ink: '#e8e6e0' } + : { text: '#52514e', grid: 'rgba(0,0,0,0.08)', ink: '#0b0b0b' }; + } + + function parseCsv(text) { + var lines = text.trim().split(/\r?\n/); + var header = lines[0].split(','); + return lines.slice(1).map(function (line) { + var cells = line.split(','); + var row = {}; + header.forEach(function (key, i) { + var raw = cells[i]; + if (raw === undefined || raw === '') { + row[key] = null; + } else if (key === 'time' || key === 'config' || key === 'label' || + key === 'full_at') { + row[key] = raw; + } else { + var num = Number(raw); + row[key] = isNaN(num) ? raw : num; + } + }); + return row; + }); + } + + function loadCsv(name) { + if (!cache[name]) { + cache[name] = fetch(DATA_DIR + name + '.csv') + .then(function (resp) { + if (!resp.ok) { throw new Error('HTTP ' + resp.status); } + return resp.text(); + }) + .then(parseCsv); + } + return cache[name]; + } + + function area(color, alpha) { + return color + alpha; + } + + function buildChart(canvas, rows) { + var theme = themeColors(); + var labels = rows.map(function (r) { return r.time; }); + + var data = { + labels: labels, + datasets: [ + { + label: 'PV surplus (W)', + data: rows.map(function (r) { return r.surplus_w; }), + borderColor: C_PV, + backgroundColor: area(C_PV, '20'), + borderWidth: 1.5, + fill: true, + pointRadius: 0, + tension: 0.25, + yAxisID: 'w' + }, + { + label: 'Battery charge (W)', + data: rows.map(function (r) { return r.charge_w; }), + borderColor: C_CHARGE, + backgroundColor: area(C_CHARGE, '45'), + borderWidth: 1.5, + fill: true, + pointRadius: 0, + stepped: true, + yAxisID: 'w' + }, + { + label: 'Curtailed (W)', + data: rows.map(function (r) { return r.curtailed_w || null; }), + borderColor: C_LOST, + backgroundColor: area(C_LOST, '55'), + borderWidth: 1, + fill: 'origin', + pointRadius: 0, + stepped: true, + yAxisID: 'w' + }, + { + label: 'Feed-in limit (W)', + data: labels.map(function () { return FEED_IN_LIMIT_W; }), + borderColor: theme.text, + borderWidth: 1, + borderDash: [2, 4], + fill: false, + pointRadius: 0, + yAxisID: 'w' + }, + { + label: 'SoC (%)', + data: rows.map(function (r) { return r.soc_pct; }), + borderColor: C_SOC, + borderWidth: 2.5, + fill: false, + pointRadius: 0, + tension: 0.2, + yAxisID: 'soc' + }, + { + label: 'SoC without peak shaving (%)', + data: rows.map(function (r) { return r.soc_baseline_pct; }), + borderColor: C_BASE, + borderWidth: 1.5, + borderDash: [4, 4], + fill: false, + pointRadius: 0, + tension: 0.2, + yAxisID: 'soc' + }, + { + // Last in the list so the limit stays visible on top of the + // battery-charge area, which usually traces the same value. + label: 'Applied charge limit (W)', + data: rows.map(function (r) { return r.limit_w; }), + borderColor: theme.ink, + borderWidth: 2.2, + borderDash: [6, 3], + fill: false, + pointRadius: 0, + stepped: true, + spanGaps: false, + yAxisID: 'w' + } + ] + }; + + return new Chart(canvas, { + type: 'line', + data: data, + options: { + responsive: true, + maintainAspectRatio: false, + interaction: { mode: 'index', intersect: false }, + plugins: { + legend: { + labels: { + color: theme.text, boxWidth: 12, boxHeight: 2, + usePointStyle: false, font: { size: 11 } + } + }, + tooltip: { + callbacks: { + label: function (ctx) { + if (ctx.parsed.y === null) { return null; } + var unit = ctx.dataset.yAxisID === 'soc' ? ' %' : ' W'; + return ctx.dataset.label + ': ' + + Math.round(ctx.parsed.y) + unit; + } + } + } + }, + scales: { + x: { + min: X_FROM, + max: X_TO, + ticks: { + color: theme.text, maxRotation: 0, autoSkip: true, + maxTicksLimit: 13, font: { size: 10 } + }, + grid: { color: theme.grid } + }, + w: { + position: 'left', + title: { display: true, text: 'Power (W)', color: theme.text }, + ticks: { color: theme.text, font: { size: 10 } }, + grid: { color: theme.grid }, + beginAtZero: true + }, + soc: { + position: 'right', + min: 0, + max: 100, + title: { display: true, text: 'SoC (%)', color: C_SOC }, + ticks: { color: C_SOC, font: { size: 10 } }, + grid: { drawOnChartArea: false } + } + } + } + }); + } + + function renderChart(container) { + var scenario = container.getAttribute('data-scenario'); + if (!scenario) { return; } + + container.innerHTML = ''; + var canvas = container.querySelector('canvas'); + + loadCsv(scenario).then(function (rows) { + charts.push({ chart: buildChart(canvas, rows), rows: rows, + canvas: canvas, container: container }); + }).catch(function (err) { + container.innerHTML = '

Could not load scenario "' + + scenario + '": ' + err.message + '

'; + }); + } + + function renderSummary(container) { + loadCsv('summary').then(function (rows) { + var head = '' + + 'ConfigurationBattery full at' + + 'ChargedExportedCurtailed' + + ''; + var body = rows.map(function (r) { + var lost = r.curtailed_kwh > 0 + ? '' + r.curtailed_kwh.toFixed(2) + ' kWh' + : r.curtailed_kwh.toFixed(2) + ' kWh'; + return '' + r.label + '' + r.full_at + '' + + r.charged_kwh.toFixed(2) + ' kWh' + + r.exported_kwh.toFixed(2) + ' kWh' + lost + ''; + }).join(''); + container.innerHTML = '' + head + '' + body + + '
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Chart library not loaded - ' + + 'charts unavailable.

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i=[],s=t._getSortedDatasetMetas(e);let n,o;for(n=0,o=s.length;n0||!i&&e<0)return n.index}return null}function zs(t,e){const{chart:i,_cachedMeta:s}=t,n=i._stacks||(i._stacks={}),{iScale:o,vScale:a,index:r}=s,l=o.axis,h=a.axis,c=function(t,e,i){return`${t.id}.${e.id}.${i.stack||i.type}`}(o,a,s),d=e.length;let u;for(let t=0;ti[t].axis===e)).shift()}function Vs(t,e){const i=t.controller.index,s=t.vScale&&t.vScale.axis;if(s){e=e||t._parsed;for(const t of e){const e=t._stacks;if(!e||void 0===e[s]||void 0===e[s][i])return;delete e[s][i],void 0!==e[s]._visualValues&&void 0!==e[s]._visualValues[i]&&delete e[s]._visualValues[i]}}}const Bs=t=>"reset"===t||"none"===t,Ws=(t,e)=>e?t:Object.assign({},t);class Ns{static defaults={};static datasetElementType=null;static dataElementType=null;constructor(t,e){this.chart=t,this._ctx=t.ctx,this.index=e,this._cachedDataOpts={},this._cachedMeta=this.getMeta(),this._type=this._cachedMeta.type,this.options=void 0,this._parsing=!1,this._data=void 0,this._objectData=void 0,this._sharedOptions=void 0,this._drawStart=void 0,this._drawCount=void 0,this.enableOptionSharing=!1,this.supportsDecimation=!1,this.$context=void 0,this._syncList=[],this.datasetElementType=new.target.datasetElementType,this.dataElementType=new.target.dataElementType,this.initialize()}initialize(){const t=this._cachedMeta;this.configure(),this.linkScales(),t._stacked=Es(t.vScale,t),this.addElements(),this.options.fill&&!this.chart.isPluginEnabled("filler")&&console.warn("Tried to use the 'fill' option without the 'Filler' plugin enabled. Please import and register the 'Filler' plugin and make sure it is not disabled in the options")}updateIndex(t){this.index!==t&&Vs(this._cachedMeta),this.index=t}linkScales(){const t=this.chart,e=this._cachedMeta,i=this.getDataset(),s=(t,e,i,s)=>"x"===t?e:"r"===t?s:i,n=e.xAxisID=l(i.xAxisID,Fs(t,"x")),o=e.yAxisID=l(i.yAxisID,Fs(t,"y")),a=e.rAxisID=l(i.rAxisID,Fs(t,"r")),r=e.indexAxis,h=e.iAxisID=s(r,n,o,a),c=e.vAxisID=s(r,o,n,a);e.xScale=this.getScaleForId(n),e.yScale=this.getScaleForId(o),e.rScale=this.getScaleForId(a),e.iScale=this.getScaleForId(h),e.vScale=this.getScaleForId(c)}getDataset(){return this.chart.data.datasets[this.index]}getMeta(){return this.chart.getDatasetMeta(this.index)}getScaleForId(t){return this.chart.scales[t]}_getOtherScale(t){const e=this._cachedMeta;return t===e.iScale?e.vScale:e.iScale}reset(){this._update("reset")}_destroy(){const t=this._cachedMeta;this._data&&rt(this._data,this),t._stacked&&Vs(t)}_dataCheck(){const t=this.getDataset(),e=t.data||(t.data=[]),i=this._data;if(o(e))this._data=function(t){const e=Object.keys(t),i=new Array(e.length);let s,n,o;for(s=0,n=e.length;s0&&i._parsed[t-1];if(!1===this._parsing)i._parsed=s,i._sorted=!0,d=s;else{d=n(s[t])?this.parseArrayData(i,s,t,e):o(s[t])?this.parseObjectData(i,s,t,e):this.parsePrimitiveData(i,s,t,e);const a=()=>null===c[l]||f&&c[l]t&&!e.hidden&&e._stacked&&{keys:Ts(i,!0),values:null})(e,i,this.chart),h={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY},{min:c,max:d}=function(t){const{min:e,max:i,minDefined:s,maxDefined:n}=t.getUserBounds();return{min:s?e:Number.NEGATIVE_INFINITY,max:n?i:Number.POSITIVE_INFINITY}}(r);let u,f;function g(){f=s[u];const e=f[r.axis];return!a(f[t.axis])||c>e||d=0;--u)if(!g()){this.updateRangeFromParsed(h,t,f,l);break}return h}getAllParsedValues(t){const e=this._cachedMeta._parsed,i=[];let s,n,o;for(s=0,n=e.length;s=0&&tthis.getContext(i,s,e)),c);return f.$shared&&(f.$shared=r,n[o]=Object.freeze(Ws(f,r))),f}_resolveAnimations(t,e,i){const s=this.chart,n=this._cachedDataOpts,o=`animation-${e}`,a=n[o];if(a)return a;let r;if(!1!==s.options.animation){const s=this.chart.config,n=s.datasetAnimationScopeKeys(this._type,e),o=s.getOptionScopes(this.getDataset(),n);r=s.createResolver(o,this.getContext(t,i,e))}const l=new Os(s,r&&r.animations);return r&&r._cacheable&&(n[o]=Object.freeze(l)),l}getSharedOptions(t){if(t.$shared)return this._sharedOptions||(this._sharedOptions=Object.assign({},t))}includeOptions(t,e){return!e||Bs(t)||this.chart._animationsDisabled}_getSharedOptions(t,e){const i=this.resolveDataElementOptions(t,e),s=this._sharedOptions,n=this.getSharedOptions(i),o=this.includeOptions(e,n)||n!==s;return this.updateSharedOptions(n,e,i),{sharedOptions:n,includeOptions:o}}updateElement(t,e,i,s){Bs(s)?Object.assign(t,i):this._resolveAnimations(e,s).update(t,i)}updateSharedOptions(t,e,i){t&&!Bs(e)&&this._resolveAnimations(void 0,e).update(t,i)}_setStyle(t,e,i,s){t.active=s;const n=this.getStyle(e,s);this._resolveAnimations(e,i,s).update(t,{options:!s&&this.getSharedOptions(n)||n})}removeHoverStyle(t,e,i){this._setStyle(t,i,"active",!1)}setHoverStyle(t,e,i){this._setStyle(t,i,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,i=this._cachedMeta.data;for(const[t,e,i]of this._syncList)this[t](e,i);this._syncList=[];const s=i.length,n=e.length,o=Math.min(n,s);o&&this.parse(0,o),n>s?this._insertElements(s,n-s,t):n{for(t.length+=e,a=t.length-1;a>=o;a--)t[a]=t[a-e]};for(r(n),a=t;a{s[t]=i[t]&&i[t].active()?i[t]._to:this[t]})),s}}function js(t,e){const i=t.options.ticks,n=function(t){const e=t.options.offset,i=t._tickSize(),s=t._length/i+(e?0:1),n=t._maxLength/i;return Math.floor(Math.min(s,n))}(t),o=Math.min(i.maxTicksLimit||n,n),a=i.major.enabled?function(t){const e=[];let i,s;for(i=0,s=t.length;io)return function(t,e,i,s){let n,o=0,a=i[0];for(s=Math.ceil(s),n=0;nn)return e}return Math.max(n,1)}(a,e,o);if(r>0){let t,i;const n=r>1?Math.round((h-l)/(r-1)):null;for($s(e,c,d,s(n)?0:l-n,l),t=0,i=r-1;t"top"===e||"left"===e?t[e]+i:t[e]-i,Us=(t,e)=>Math.min(e||t,t);function Xs(t,e){const i=[],s=t.length/e,n=t.length;let o=0;for(;oa+r)))return h}function Ks(t){return t.drawTicks?t.tickLength:0}function Gs(t,e){if(!t.display)return 0;const i=Si(t.font,e),s=ki(t.padding);return(n(t.text)?t.text.length:1)*i.lineHeight+s.height}function Zs(t,e,i){let s=ut(t);return(i&&"right"!==e||!i&&"right"===e)&&(s=(t=>"left"===t?"right":"right"===t?"left":t)(s)),s}class Js extends Hs{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:i,_suggestedMax:s}=this;return t=r(t,Number.POSITIVE_INFINITY),e=r(e,Number.NEGATIVE_INFINITY),i=r(i,Number.POSITIVE_INFINITY),s=r(s,Number.NEGATIVE_INFINITY),{min:r(t,i),max:r(e,s),minDefined:a(t),maxDefined:a(e)}}getMinMax(t){let e,{min:i,max:s,minDefined:n,maxDefined:o}=this.getUserBounds();if(n&&o)return{min:i,max:s};const a=this.getMatchingVisibleMetas();for(let r=0,l=a.length;rs?s:i,s=n&&i>s?i:s,{min:r(i,r(s,i)),max:r(s,r(i,s))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){d(this.options.beforeUpdate,[this])}update(t,e,i){const{beginAtZero:s,grace:n,ticks:o}=this.options,a=o.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=i=Object.assign({left:0,right:0,top:0,bottom:0},i),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+i.left+i.right:this.height+i.top+i.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=Di(this,n,s),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const r=a=n||i<=1||!this.isHorizontal())return void(this.labelRotation=s);const h=this._getLabelSizes(),c=h.widest.width,d=h.highest.height,u=J(this.chart.width-c,0,this.maxWidth);o=t.offset?this.maxWidth/i:u/(i-1),c+6>o&&(o=u/(i-(t.offset?.5:1)),a=this.maxHeight-Ks(t.grid)-e.padding-Gs(t.title,this.chart.options.font),r=Math.sqrt(c*c+d*d),l=Y(Math.min(Math.asin(J((h.highest.height+6)/o,-1,1)),Math.asin(J(a/r,-1,1))-Math.asin(J(d/r,-1,1)))),l=Math.max(s,Math.min(n,l))),this.labelRotation=l}afterCalculateLabelRotation(){d(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){d(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:i,title:s,grid:n}}=this,o=this._isVisible(),a=this.isHorizontal();if(o){const o=Gs(s,e.options.font);if(a?(t.width=this.maxWidth,t.height=Ks(n)+o):(t.height=this.maxHeight,t.width=Ks(n)+o),i.display&&this.ticks.length){const{first:e,last:s,widest:n,highest:o}=this._getLabelSizes(),r=2*i.padding,l=$(this.labelRotation),h=Math.cos(l),c=Math.sin(l);if(a){const e=i.mirror?0:c*n.width+h*o.height;t.height=Math.min(this.maxHeight,t.height+e+r)}else{const e=i.mirror?0:h*n.width+c*o.height;t.width=Math.min(this.maxWidth,t.width+e+r)}this._calculatePadding(e,s,c,h)}}this._handleMargins(),a?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,i,s){const{ticks:{align:n,padding:o},position:a}=this.options,r=0!==this.labelRotation,l="top"!==a&&"x"===this.axis;if(this.isHorizontal()){const a=this.getPixelForTick(0)-this.left,h=this.right-this.getPixelForTick(this.ticks.length-1);let c=0,d=0;r?l?(c=s*t.width,d=i*e.height):(c=i*t.height,d=s*e.width):"start"===n?d=e.width:"end"===n?c=t.width:"inner"!==n&&(c=t.width/2,d=e.width/2),this.paddingLeft=Math.max((c-a+o)*this.width/(this.width-a),0),this.paddingRight=Math.max((d-h+o)*this.width/(this.width-h),0)}else{let i=e.height/2,s=t.height/2;"start"===n?(i=0,s=t.height):"end"===n&&(i=e.height,s=0),this.paddingTop=i+o,this.paddingBottom=s+o}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){d(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,i;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,i=t.length;e{const i=t.gc,s=i.length/2;let n;if(s>e){for(n=0;n({width:r[t]||0,height:l[t]||0});return{first:P(0),last:P(e-1),widest:P(k),highest:P(S),widths:r,heights:l}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Q(this._alignToPixels?Ae(this.chart,e,0):e)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&ta*s?a/i:r/s:r*s0}_computeGridLineItems(t){const e=this.axis,i=this.chart,s=this.options,{grid:n,position:a,border:r}=s,h=n.offset,c=this.isHorizontal(),d=this.ticks.length+(h?1:0),u=Ks(n),f=[],g=r.setContext(this.getContext()),p=g.display?g.width:0,m=p/2,b=function(t){return Ae(i,t,p)};let x,_,y,v,M,w,k,S,P,D,C,O;if("top"===a)x=b(this.bottom),w=this.bottom-u,S=x-m,D=b(t.top)+m,O=t.bottom;else if("bottom"===a)x=b(this.top),D=t.top,O=b(t.bottom)-m,w=x+m,S=this.top+u;else if("left"===a)x=b(this.right),M=this.right-u,k=x-m,P=b(t.left)+m,C=t.right;else if("right"===a)x=b(this.left),P=t.left,C=b(t.right)-m,M=x+m,k=this.left+u;else if("x"===e){if("center"===a)x=b((t.top+t.bottom)/2+.5);else if(o(a)){const t=Object.keys(a)[0],e=a[t];x=b(this.chart.scales[t].getPixelForValue(e))}D=t.top,O=t.bottom,w=x+m,S=w+u}else if("y"===e){if("center"===a)x=b((t.left+t.right)/2);else if(o(a)){const t=Object.keys(a)[0],e=a[t];x=b(this.chart.scales[t].getPixelForValue(e))}M=x-m,k=M-u,P=t.left,C=t.right}const A=l(s.ticks.maxTicksLimit,d),T=Math.max(1,Math.ceil(d/A));for(_=0;_0&&(o-=s/2)}d={left:o,top:n,width:s+e.width,height:i+e.height,color:t.backdropColor}}b.push({label:v,font:P,textOffset:O,options:{rotation:m,color:i,strokeColor:o,strokeWidth:h,textAlign:f,textBaseline:A,translation:[M,w],backdrop:d}})}return b}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-$(this.labelRotation))return"top"===t?"left":"right";let i="center";return"start"===e.align?i="left":"end"===e.align?i="right":"inner"===e.align&&(i="inner"),i}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:i,mirror:s,padding:n}}=this.options,o=t+n,a=this._getLabelSizes().widest.width;let r,l;return"left"===e?s?(l=this.right+n,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l+=a)):(l=this.right-o,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l=this.left)):"right"===e?s?(l=this.left+n,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l-=a)):(l=this.left+o,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l=this.right)):r="right",{textAlign:r,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const t=this.chart,e=this.options.position;return"left"===e||"right"===e?{top:0,left:this.left,bottom:t.height,right:this.right}:"top"===e||"bottom"===e?{top:this.top,left:0,bottom:this.bottom,right:t.width}:void 0}drawBackground(){const{ctx:t,options:{backgroundColor:e},left:i,top:s,width:n,height:o}=this;e&&(t.save(),t.fillStyle=e,t.fillRect(i,s,n,o),t.restore())}getLineWidthForValue(t){const e=this.options.grid;if(!this._isVisible()||!e.display)return 0;const i=this.ticks.findIndex((e=>e.value===t));if(i>=0){return e.setContext(this.getContext(i)).lineWidth}return 0}drawGrid(t){const e=this.options.grid,i=this.ctx,s=this._gridLineItems||(this._gridLineItems=this._computeGridLineItems(t));let n,o;const a=(t,e,s)=>{s.width&&s.color&&(i.save(),i.lineWidth=s.width,i.strokeStyle=s.color,i.setLineDash(s.borderDash||[]),i.lineDashOffset=s.borderDashOffset,i.beginPath(),i.moveTo(t.x,t.y),i.lineTo(e.x,e.y),i.stroke(),i.restore())};if(e.display)for(n=0,o=s.length;n{this.drawBackground(),this.drawGrid(t),this.drawTitle()}},{z:s,draw:()=>{this.drawBorder()}},{z:e,draw:t=>{this.drawLabels(t)}}]:[{z:e,draw:t=>{this.draw(t)}}]}getMatchingVisibleMetas(t){const e=this.chart.getSortedVisibleDatasetMetas(),i=this.axis+"AxisID",s=[];let n,o;for(n=0,o=e.length;n{const s=i.split("."),n=s.pop(),o=[t].concat(s).join("."),a=e[i].split("."),r=a.pop(),l=a.join(".");ue.route(o,n,l,r)}))}(e,t.defaultRoutes);t.descriptors&&ue.describe(e,t.descriptors)}(t,o,i),this.override&&ue.override(t.id,t.overrides)),o}get(t){return this.items[t]}unregister(t){const e=this.items,i=t.id,s=this.scope;i in e&&delete e[i],s&&i in ue[s]&&(delete ue[s][i],this.override&&delete re[i])}}class tn{constructor(){this.controllers=new Qs(Ns,"datasets",!0),this.elements=new Qs(Hs,"elements"),this.plugins=new Qs(Object,"plugins"),this.scales=new Qs(Js,"scales"),this._typedRegistries=[this.controllers,this.scales,this.elements]}add(...t){this._each("register",t)}remove(...t){this._each("unregister",t)}addControllers(...t){this._each("register",t,this.controllers)}addElements(...t){this._each("register",t,this.elements)}addPlugins(...t){this._each("register",t,this.plugins)}addScales(...t){this._each("register",t,this.scales)}getController(t){return this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,i){[...e].forEach((e=>{const s=i||this._getRegistryForType(e);i||s.isForType(e)||s===this.plugins&&e.id?this._exec(t,s,e):u(e,(e=>{const s=i||this._getRegistryForType(e);this._exec(t,s,e)}))}))}_exec(t,e,i){const s=w(t);d(i["before"+s],[],i),e[t](i),d(i["after"+s],[],i)}_getRegistryForType(t){for(let e=0;et.filter((t=>!e.some((e=>t.plugin.id===e.plugin.id))));this._notify(s(e,i),t,"stop"),this._notify(s(i,e),t,"start")}}function nn(t,e){return e||!1!==t?!0===t?{}:t:null}function on(t,{plugin:e,local:i},s,n){const o=t.pluginScopeKeys(e),a=t.getOptionScopes(s,o);return i&&e.defaults&&a.push(e.defaults),t.createResolver(a,n,[""],{scriptable:!1,indexable:!1,allKeys:!0})}function an(t,e){const i=ue.datasets[t]||{};return((e.datasets||{})[t]||{}).indexAxis||e.indexAxis||i.indexAxis||"x"}function rn(t){if("x"===t||"y"===t||"r"===t)return t}function ln(t,...e){if(rn(t))return t;for(const s of e){const e=s.axis||("top"===(i=s.position)||"bottom"===i?"x":"left"===i||"right"===i?"y":void 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Please provide 'axis' or 'position' option.`)}function hn(t,e,i){if(i[e+"AxisID"]===t)return{axis:e}}function cn(t,e){const i=re[t.type]||{scales:{}},s=e.scales||{},n=an(t.type,e),a=Object.create(null);return Object.keys(s).forEach((e=>{const r=s[e];if(!o(r))return console.error(`Invalid scale configuration for scale: ${e}`);if(r._proxy)return console.warn(`Ignoring resolver passed as options for scale: ${e}`);const l=ln(e,r,function(t,e){if(e.data&&e.data.datasets){const i=e.data.datasets.filter((e=>e.xAxisID===t||e.yAxisID===t));if(i.length)return hn(t,"x",i[0])||hn(t,"y",i[0])}return{}}(e,t),ue.scales[r.type]),h=function(t,e){return t===e?"_index_":"_value_"}(l,n),c=i.scales||{};a[e]=x(Object.create(null),[{axis:l},r,c[l],c[h]])})),t.data.datasets.forEach((i=>{const n=i.type||t.type,o=i.indexAxis||an(n,e),r=(re[n]||{}).scales||{};Object.keys(r).forEach((t=>{const e=function(t,e){let i=t;return"_index_"===t?i=e:"_value_"===t&&(i="x"===e?"y":"x"),i}(t,o),n=i[e+"AxisID"]||e;a[n]=a[n]||Object.create(null),x(a[n],[{axis:e},s[n],r[t]])}))})),Object.keys(a).forEach((t=>{const e=a[t];x(e,[ue.scales[e.type],ue.scale])})),a}function dn(t){const e=t.options||(t.options={});e.plugins=l(e.plugins,{}),e.scales=cn(t,e)}function un(t){return(t=t||{}).datasets=t.datasets||[],t.labels=t.labels||[],t}const fn=new Map,gn=new Set;function pn(t,e){let i=fn.get(t);return i||(i=e(),fn.set(t,i),gn.add(i)),i}const mn=(t,e,i)=>{const s=M(e,i);void 0!==s&&t.add(s)};class bn{constructor(t){this._config=function(t){return(t=t||{}).data=un(t.data),dn(t),t}(t),this._scopeCache=new Map,this._resolverCache=new Map}get platform(){return this._config.platform}get type(){return this._config.type}set type(t){this._config.type=t}get data(){return this._config.data}set data(t){this._config.data=un(t)}get options(){return this._config.options}set options(t){this._config.options=t}get plugins(){return this._config.plugins}update(){const t=this._config;this.clearCache(),dn(t)}clearCache(){this._scopeCache.clear(),this._resolverCache.clear()}datasetScopeKeys(t){return pn(t,(()=>[[`datasets.${t}`,""]]))}datasetAnimationScopeKeys(t,e){return pn(`${t}.transition.${e}`,(()=>[[`datasets.${t}.transitions.${e}`,`transitions.${e}`],[`datasets.${t}`,""]]))}datasetElementScopeKeys(t,e){return pn(`${t}-${e}`,(()=>[[`datasets.${t}.elements.${e}`,`datasets.${t}`,`elements.${e}`,""]]))}pluginScopeKeys(t){const e=t.id;return pn(`${this.type}-plugin-${e}`,(()=>[[`plugins.${e}`,...t.additionalOptionScopes||[]]]))}_cachedScopes(t,e){const i=this._scopeCache;let s=i.get(t);return s&&!e||(s=new Map,i.set(t,s)),s}getOptionScopes(t,e,i){const{options:s,type:n}=this,o=this._cachedScopes(t,i),a=o.get(e);if(a)return a;const r=new Set;e.forEach((e=>{t&&(r.add(t),e.forEach((e=>mn(r,t,e)))),e.forEach((t=>mn(r,s,t))),e.forEach((t=>mn(r,re[n]||{},t))),e.forEach((t=>mn(r,ue,t))),e.forEach((t=>mn(r,le,t)))}));const l=Array.from(r);return 0===l.length&&l.push(Object.create(null)),gn.has(e)&&o.set(e,l),l}chartOptionScopes(){const{options:t,type:e}=this;return[t,re[e]||{},ue.datasets[e]||{},{type:e},ue,le]}resolveNamedOptions(t,e,i,s=[""]){const o={$shared:!0},{resolver:a,subPrefixes:r}=xn(this._resolverCache,t,s);let l=a;if(function(t,e){const{isScriptable:i,isIndexable:s}=Ye(t);for(const o of e){const e=i(o),a=s(o),r=(a||e)&&t[o];if(e&&(S(r)||_n(r))||a&&n(r))return!0}return!1}(a,e)){o.$shared=!1;l=$e(a,i=S(i)?i():i,this.createResolver(t,i,r))}for(const t of e)o[t]=l[t];return o}createResolver(t,e,i=[""],s){const{resolver:n}=xn(this._resolverCache,t,i);return o(e)?$e(n,e,void 0,s):n}}function xn(t,e,i){let s=t.get(e);s||(s=new Map,t.set(e,s));const n=i.join();let o=s.get(n);if(!o){o={resolver:je(e,i),subPrefixes:i.filter((t=>!t.toLowerCase().includes("hover")))},s.set(n,o)}return o}const _n=t=>o(t)&&Object.getOwnPropertyNames(t).some((e=>S(t[e])));const yn=["top","bottom","left","right","chartArea"];function vn(t,e){return"top"===t||"bottom"===t||-1===yn.indexOf(t)&&"x"===e}function Mn(t,e){return function(i,s){return i[t]===s[t]?i[e]-s[e]:i[t]-s[t]}}function wn(t){const e=t.chart,i=e.options.animation;e.notifyPlugins("afterRender"),d(i&&i.onComplete,[t],e)}function kn(t){const e=t.chart,i=e.options.animation;d(i&&i.onProgress,[t],e)}function Sn(t){return fe()&&"string"==typeof t?t=document.getElementById(t):t&&t.length&&(t=t[0]),t&&t.canvas&&(t=t.canvas),t}const Pn={},Dn=t=>{const e=Sn(t);return Object.values(Pn).filter((t=>t.canvas===e)).pop()};function Cn(t,e,i){const s=Object.keys(t);for(const n of s){const s=+n;if(s>=e){const o=t[n];delete t[n],(i>0||s>e)&&(t[s+i]=o)}}}function On(t,e,i){return t.options.clip?t[i]:e[i]}class An{static defaults=ue;static instances=Pn;static overrides=re;static registry=en;static version="4.4.1";static getChart=Dn;static register(...t){en.add(...t),Tn()}static unregister(...t){en.remove(...t),Tn()}constructor(t,e){const s=this.config=new bn(e),n=Sn(t),o=Dn(n);if(o)throw new Error("Canvas is already in use. 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0,this._doResize=dt((t=>this.update(t)),a.resizeDelay||0),this._dataChanges=[],Pn[this.id]=this,r&&l?(xt.listen(this,"complete",wn),xt.listen(this,"progress",kn),this._initialize(),this.attached&&this.update()):console.error("Failed to create chart: can't acquire context from the given item")}get aspectRatio(){const{options:{aspectRatio:t,maintainAspectRatio:e},width:i,height:n,_aspectRatio:o}=this;return s(t)?e&&o?o:n?i/n:null:t}get data(){return this.config.data}set data(t){this.config.data=t}get options(){return this._options}set options(t){this.config.options=t}get registry(){return en}_initialize(){return this.notifyPlugins("beforeInit"),this.options.responsive?this.resize():ke(this,this.options.devicePixelRatio),this.bindEvents(),this.notifyPlugins("afterInit"),this}clear(){return Te(this.canvas,this.ctx),this}stop(){return xt.stop(this),this}resize(t,e){xt.running(this)?this._resizeBeforeDraw={width:t,height:e}:this._resize(t,e)}_resize(t,e){const i=this.options,s=this.canvas,n=i.maintainAspectRatio&&this.aspectRatio,o=this.platform.getMaximumSize(s,t,e,n),a=i.devicePixelRatio||this.platform.getDevicePixelRatio(),r=this.width?"resize":"attach";this.width=o.width,this.height=o.height,this._aspectRatio=this.aspectRatio,ke(this,a,!0)&&(this.notifyPlugins("resize",{size:o}),d(i.onResize,[this,o],this),this.attached&&this._doResize(r)&&this.render())}ensureScalesHaveIDs(){u(this.options.scales||{},((t,e)=>{t.id=e}))}buildOrUpdateScales(){const t=this.options,e=t.scales,i=this.scales,s=Object.keys(i).reduce(((t,e)=>(t[e]=!1,t)),{});let n=[];e&&(n=n.concat(Object.keys(e).map((t=>{const i=e[t],s=ln(t,i),n="r"===s,o="x"===s;return{options:i,dposition:n?"chartArea":o?"bottom":"left",dtype:n?"radialLinear":o?"category":"linear"}})))),u(n,(e=>{const n=e.options,o=n.id,a=ln(o,n),r=l(n.type,e.dtype);void 0!==n.position&&vn(n.position,a)===vn(e.dposition)||(n.position=e.dposition),s[o]=!0;let h=null;if(o in i&&i[o].type===r)h=i[o];else{h=new(en.getScale(r))({id:o,type:r,ctx:this.ctx,chart:this}),i[h.id]=h}h.init(n,t)})),u(s,((t,e)=>{t||delete i[e]})),u(i,(t=>{as.configure(this,t,t.options),as.addBox(this,t)}))}_updateMetasets(){const t=this._metasets,e=this.data.datasets.length,i=t.length;if(t.sort(((t,e)=>t.index-e.index)),i>e){for(let t=e;te.length&&delete this._stacks,t.forEach(((t,i)=>{0===e.filter((e=>e===t._dataset)).length&&this._destroyDatasetMeta(i)}))}buildOrUpdateControllers(){const t=[],e=this.data.datasets;let i,s;for(this._removeUnreferencedMetasets(),i=0,s=e.length;i{this.getDatasetMeta(e).controller.reset()}),this)}reset(){this._resetElements(),this.notifyPlugins("reset")}update(t){const e=this.config;e.update();const i=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),s=this._animationsDisabled=!i.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const n=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let o=0;for(let t=0,e=this.data.datasets.length;t{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(Mn("z","_idx"));const{_active:a,_lastEvent:r}=this;r?this._eventHandler(r,!0):a.length&&this._updateHoverStyles(a,a,!0),this.render()}_updateScales(){u(this.scales,(t=>{as.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),i=new Set(t.events);P(e,i)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:i,start:s,count:n}of e){Cn(t,s,"_removeElements"===i?-n:n)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,i=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),s=i(0);for(let t=1;tt.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;as.update(this,this.width,this.height,t);const e=this.chartArea,i=e.width<=0||e.height<=0;this._layers=[],u(this.boxes,(t=>{i&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,i=t._clip,s=!i.disabled,n=function(t,e){const{xScale:i,yScale:s}=t;return i&&s?{left:On(i,e,"left"),right:On(i,e,"right"),top:On(s,e,"top"),bottom:On(s,e,"bottom")}:e}(t,this.chartArea),o={meta:t,index:t.index,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetDraw",o)&&(s&&Ie(e,{left:!1===i.left?0:n.left-i.left,right:!1===i.right?this.width:n.right+i.right,top:!1===i.top?0:n.top-i.top,bottom:!1===i.bottom?this.height:n.bottom+i.bottom}),t.controller.draw(),s&&ze(e),o.cancelable=!1,this.notifyPlugins("afterDatasetDraw",o))}isPointInArea(t){return Re(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,i,s){const n=Xi.modes[e];return"function"==typeof n?n(this,t,i,s):[]}getDatasetMeta(t){const e=this.data.datasets[t],i=this._metasets;let s=i.filter((t=>t&&t._dataset===e)).pop();return s||(s={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},i.push(s)),s}getContext(){return this.$context||(this.$context=Ci(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const i=this.getDatasetMeta(t);return"boolean"==typeof i.hidden?!i.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,i){const s=i?"show":"hide",n=this.getDatasetMeta(t),o=n.controller._resolveAnimations(void 0,s);k(e)?(n.data[e].hidden=!i,this.update()):(this.setDatasetVisibility(t,i),o.update(n,{visible:i}),this.update((e=>e.datasetIndex===t?s:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),xt.remove(this),t=0,e=this.data.datasets.length;t{e.addEventListener(this,i,s),t[i]=s},s=(t,e,i)=>{t.offsetX=e,t.offsetY=i,this._eventHandler(t)};u(this.options.events,(t=>i(t,s)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,i=(i,s)=>{e.addEventListener(this,i,s),t[i]=s},s=(i,s)=>{t[i]&&(e.removeEventListener(this,i,s),delete t[i])},n=(t,e)=>{this.canvas&&this.resize(t,e)};let o;const a=()=>{s("attach",a),this.attached=!0,this.resize(),i("resize",n),i("detach",o)};o=()=>{this.attached=!1,s("resize",n),this._stop(),this._resize(0,0),i("attach",a)},e.isAttached(this.canvas)?a():o()}unbindEvents(){u(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},u(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,i){const s=i?"set":"remove";let n,o,a,r;for("dataset"===e&&(n=this.getDatasetMeta(t[0].datasetIndex),n.controller["_"+s+"DatasetHoverStyle"]()),a=0,r=t.length;a{const i=this.getDatasetMeta(t);if(!i)throw new Error("No dataset found at index "+t);return{datasetIndex:t,element:i.data[e],index:e}}));!f(i,e)&&(this._active=i,this._lastEvent=null,this._updateHoverStyles(i,e))}notifyPlugins(t,e,i){return this._plugins.notify(this,t,e,i)}isPluginEnabled(t){return 1===this._plugins._cache.filter((e=>e.plugin.id===t)).length}_updateHoverStyles(t,e,i){const s=this.options.hover,n=(t,e)=>t.filter((t=>!e.some((e=>t.datasetIndex===e.datasetIndex&&t.index===e.index)))),o=n(e,t),a=i?t:n(t,e);o.length&&this.updateHoverStyle(o,s.mode,!1),a.length&&s.mode&&this.updateHoverStyle(a,s.mode,!0)}_eventHandler(t,e){const i={event:t,replay:e,cancelable:!0,inChartArea:this.isPointInArea(t)},s=e=>(e.options.events||this.options.events).includes(t.native.type);if(!1===this.notifyPlugins("beforeEvent",i,s))return;const n=this._handleEvent(t,e,i.inChartArea);return i.cancelable=!1,this.notifyPlugins("afterEvent",i,s),(n||i.changed)&&this.render(),this}_handleEvent(t,e,i){const{_active:s=[],options:n}=this,o=e,a=this._getActiveElements(t,s,i,o),r=D(t),l=function(t,e,i,s){return i&&"mouseout"!==t.type?s?e:t:null}(t,this._lastEvent,i,r);i&&(this._lastEvent=null,d(n.onHover,[t,a,this],this),r&&d(n.onClick,[t,a,this],this));const h=!f(a,s);return(h||e)&&(this._active=a,this._updateHoverStyles(a,s,e)),this._lastEvent=l,h}_getActiveElements(t,e,i,s){if("mouseout"===t.type)return[];if(!i)return e;const n=this.options.hover;return this.getElementsAtEventForMode(t,n.mode,n,s)}}function Tn(){return u(An.instances,(t=>t._plugins.invalidate()))}function Ln(){throw new Error("This method is not implemented: Check that a complete date adapter is provided.")}class En{static override(t){Object.assign(En.prototype,t)}options;constructor(t){this.options=t||{}}init(){}formats(){return Ln()}parse(){return Ln()}format(){return Ln()}add(){return Ln()}diff(){return Ln()}startOf(){return Ln()}endOf(){return Ln()}}var Rn={_date:En};function In(t){const e=t.iScale,i=function(t,e){if(!t._cache.$bar){const i=t.getMatchingVisibleMetas(e);let s=[];for(let e=0,n=i.length;et-e)))}return t._cache.$bar}(e,t.type);let s,n,o,a,r=e._length;const l=()=>{32767!==o&&-32768!==o&&(k(a)&&(r=Math.min(r,Math.abs(o-a)||r)),a=o)};for(s=0,n=i.length;sMath.abs(r)&&(l=r,h=a),e[i.axis]=h,e._custom={barStart:l,barEnd:h,start:n,end:o,min:a,max:r}}(t,e,i,s):e[i.axis]=i.parse(t,s),e}function Fn(t,e,i,s){const n=t.iScale,o=t.vScale,a=n.getLabels(),r=n===o,l=[];let h,c,d,u;for(h=i,c=i+s;ht.x,i="left",s="right"):(e=t.base"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:i,color:s}}=t.legend.options;return e.labels.map(((e,n)=>{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const i=this.getDataset().data,s=this._cachedMeta;if(!1===this._parsing)s._parsed=i;else{let n,a,r=t=>+i[t];if(o(i[t])){const{key:t="value"}=this._parsing;r=e=>+M(i[e],t)}for(n=t,a=t+e;nZ(t,r,l,!0)?1:Math.max(e,e*i,s,s*i),g=(t,e,s)=>Z(t,r,l,!0)?-1:Math.min(e,e*i,s,s*i),p=f(0,h,d),m=f(E,c,u),b=g(C,h,d),x=g(C+E,c,u);s=(p-b)/2,n=(m-x)/2,o=-(p+b)/2,a=-(m+x)/2}return{ratioX:s,ratioY:n,offsetX:o,offsetY:a}}(u,d,r),b=(i.width-o)/f,x=(i.height-o)/g,_=Math.max(Math.min(b,x)/2,0),y=c(this.options.radius,_),v=(y-Math.max(y*r,0))/this._getVisibleDatasetWeightTotal();this.offsetX=p*y,this.offsetY=m*y,s.total=this.calculateTotal(),this.outerRadius=y-v*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-v*l,0),this.updateElements(n,0,n.length,t)}_circumference(t,e){const i=this.options,s=this._cachedMeta,n=this._getCircumference();return e&&i.animation.animateRotate||!this.chart.getDataVisibility(t)||null===s._parsed[t]||s.data[t].hidden?0:this.calculateCircumference(s._parsed[t]*n/O)}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.chartArea,r=o.options.animation,l=(a.left+a.right)/2,h=(a.top+a.bottom)/2,c=n&&r.animateScale,d=c?0:this.innerRadius,u=c?0:this.outerRadius,{sharedOptions:f,includeOptions:g}=this._getSharedOptions(e,s);let p,m=this._getRotation();for(p=0;p0&&!isNaN(t)?O*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t],i.options.locale);return{label:s[t]||"",value:n}}getMaxBorderWidth(t){let e=0;const i=this.chart;let s,n,o,a,r;if(!t)for(s=0,n=i.data.datasets.length;s{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t].r,i.options.locale);return{label:s[t]||"",value:n}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,i)=>{const s=this.getParsed(i).r;!isNaN(s)&&this.chart.getDataVisibility(i)&&(se.max&&(e.max=s))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,i=t.options,s=Math.min(e.right-e.left,e.bottom-e.top),n=Math.max(s/2,0),o=(n-Math.max(i.cutoutPercentage?n/100*i.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=n-o*this.index,this.innerRadius=this.outerRadius-o}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.options.animation,r=this._cachedMeta.rScale,l=r.xCenter,h=r.yCenter,c=r.getIndexAngle(0)-.5*C;let d,u=c;const f=360/this.countVisibleElements();for(d=0;d{!isNaN(this.getParsed(i).r)&&this.chart.getDataVisibility(i)&&e++})),e}_computeAngle(t,e,i){return this.chart.getDataVisibility(t)?$(this.resolveDataElementOptions(t,e).angle||i):0}}var Yn=Object.freeze({__proto__:null,BarController:class extends Ns{static id="bar";static 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e=this._cachedMeta,i=e.dataset,s=e.data||[],n=e.iScale.getLabels();if(i.points=s,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const o={_loop:!0,_fullLoop:n.length===s.length,options:e};this.updateElement(i,void 0,o,t)}this.updateElements(s,0,s.length,t)}updateElements(t,e,i,s){const n=this._cachedMeta.rScale,o="reset"===s;for(let a=e;a0&&this.getParsed(e-1);for(let c=e;c0&&Math.abs(i[f]-_[f])>b,m&&(p.parsed=i,p.raw=h.data[c]),u&&(p.options=d||this.resolveDataElementOptions(c,e.active?"active":n)),x||this.updateElement(e,c,p,n),_=i}this.updateSharedOptions(d,n,c)}getMaxOverflow(){const t=this._cachedMeta,e=t.data||[];if(!this.options.showLine){let t=0;for(let i=e.length-1;i>=0;--i)t=Math.max(t,e[i].size(this.resolveDataElementOptions(i))/2);return t>0&&t}const i=t.dataset,s=i.options&&i.options.borderWidth||0;if(!e.length)return s;const 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e=(k+S)/2;if(t.arc(a,r,d,k,e),t.arc(a,r,d,e,S),_>0){const e=Xn(w,S,a,r);t.arc(e.x,e.y,_,S,b+E)}const i=Xn(D,b,a,r);if(t.lineTo(i.x,i.y),v>0){const e=Xn(D,A,a,r);t.arc(e.x,e.y,v,b+E,A+Math.PI)}const s=(b-v/u+(m+y/u))/2;if(t.arc(a,r,u,b-v/u,s,!0),t.arc(a,r,u,s,m+y/u,!0),y>0){const e=Xn(P,O,a,r);t.arc(e.x,e.y,y,O+Math.PI,m-E)}const n=Xn(M,m,a,r);if(t.lineTo(n.x,n.y),x>0){const e=Xn(M,k,a,r);t.arc(e.x,e.y,x,m-E,k)}}else{t.moveTo(a,r);const e=Math.cos(k)*d+a,i=Math.sin(k)*d+r;t.lineTo(e,i);const s=Math.cos(S)*d+a,n=Math.sin(S)*d+r;t.lineTo(s,n)}t.closePath()}function Kn(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r,options:l}=e,{borderWidth:h,borderJoinStyle:c,borderDash:d,borderDashOffset:u}=l,f="inner"===l.borderAlign;if(!h)return;t.setLineDash(d||[]),t.lineDashOffset=u,f?(t.lineWidth=2*h,t.lineJoin=c||"round"):(t.lineWidth=h,t.lineJoin=c||"bevel");let g=e.endAngle;if(o){qn(t,e,i,s,g,n);for(let e=0;en?(h=n/l,t.arc(o,a,l,i+h,s-h,!0)):t.arc(o,a,n,i+E,s-E),t.closePath(),t.clip()}(t,e,g),o||(qn(t,e,i,s,g,n),t.stroke())}function Gn(t,e,i=e){t.lineCap=l(i.borderCapStyle,e.borderCapStyle),t.setLineDash(l(i.borderDash,e.borderDash)),t.lineDashOffset=l(i.borderDashOffset,e.borderDashOffset),t.lineJoin=l(i.borderJoinStyle,e.borderJoinStyle),t.lineWidth=l(i.borderWidth,e.borderWidth),t.strokeStyle=l(i.borderColor,e.borderColor)}function Zn(t,e,i){t.lineTo(i.x,i.y)}function Jn(t,e,i={}){const s=t.length,{start:n=0,end:o=s-1}=i,{start:a,end:r}=e,l=Math.max(n,a),h=Math.min(o,r),c=nr&&o>r;return{count:s,start:l,loop:e.loop,ilen:h(a+(h?r-t:t))%o,_=()=>{f!==g&&(t.lineTo(m,g),t.lineTo(m,f),t.lineTo(m,p))};for(l&&(d=n[x(0)],t.moveTo(d.x,d.y)),c=0;c<=r;++c){if(d=n[x(c)],d.skip)continue;const e=d.x,i=d.y,s=0|e;s===u?(ig&&(g=i),m=(b*m+e)/++b):(_(),t.lineTo(e,i),u=s,b=0,f=g=i),p=i}_()}function eo(t){const e=t.options,i=e.borderDash&&e.borderDash.length;return!(t._decimated||t._loop||e.tension||"monotone"===e.cubicInterpolationMode||e.stepped||i)?to:Qn}const io="function"==typeof Path2D;function so(t,e,i,s){io&&!e.options.segment?function(t,e,i,s){let n=e._path;n||(n=e._path=new Path2D,e.path(n,i,s)&&n.closePath()),Gn(t,e.options),t.stroke(n)}(t,e,i,s):function(t,e,i,s){const{segments:n,options:o}=e,a=eo(e);for(const r of n)Gn(t,o,r.style),t.beginPath(),a(t,e,r,{start:i,end:i+s-1})&&t.closePath(),t.stroke()}(t,e,i,s)}class no extends Hs{static id="line";static defaults={borderCapStyle:"butt",borderDash:[],borderDashOffset:0,borderJoinStyle:"miter",borderWidth:3,capBezierPoints:!0,cubicInterpolationMode:"default",fill:!1,spanGaps:!1,stepped:!1,tension:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t&&"fill"!==t};constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const i=this.options;if((i.tension||"monotone"===i.cubicInterpolationMode)&&!i.stepped&&!this._pointsUpdated){const s=i.spanGaps?this._loop:this._fullLoop;hi(this._points,i,t,s,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=zi(this,this.options.segment))}first(){const t=this.segments,e=this.points;return t.length&&e[t[0].start]}last(){const t=this.segments,e=this.points,i=t.length;return i&&e[t[i-1].end]}interpolate(t,e){const i=this.options,s=t[e],n=this.points,o=Ii(this,{property:e,start:s,end:s});if(!o.length)return;const a=[],r=function(t){return t.stepped?pi:t.tension||"monotone"===t.cubicInterpolationMode?mi:gi}(i);let l,h;for(l=0,h=o.length;l"borderDash"!==t};circumference;endAngle;fullCircles;innerRadius;outerRadius;pixelMargin;startAngle;constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,i){const s=this.getProps(["x","y"],i),{angle:n,distance:o}=X(s,{x:t,y:e}),{startAngle:a,endAngle:r,innerRadius:h,outerRadius:c,circumference:d}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],i),u=(this.options.spacing+this.options.borderWidth)/2,f=l(d,r-a)>=O||Z(n,a,r),g=tt(o,h+u,c+u);return f&&g}getCenterPoint(t){const{x:e,y:i,startAngle:s,endAngle:n,innerRadius:o,outerRadius:a}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius"],t),{offset:r,spacing:l}=this.options,h=(s+n)/2,c=(o+a+l+r)/2;return{x:e+Math.cos(h)*c,y:i+Math.sin(h)*c}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:i}=this,s=(e.offset||0)/4,n=(e.spacing||0)/2,o=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=i>O?Math.floor(i/O):0,0===i||this.innerRadius<0||this.outerRadius<0)return;t.save();const a=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(a)*s,Math.sin(a)*s);const r=s*(1-Math.sin(Math.min(C,i||0)));t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor,function(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r}=e;let l=e.endAngle;if(o){qn(t,e,i,s,l,n);for(let e=0;e("string"==typeof e?(i=t.push(e)-1,s.unshift({index:i,label:e})):isNaN(e)&&(i=null),i))(t,e,i,s);return n!==t.lastIndexOf(e)?i:n}function po(t){const e=this.getLabels();return t>=0&&ts=e?s:t,a=t=>n=i?n:t;if(t){const t=F(s),e=F(n);t<0&&e<0?a(0):t>0&&e>0&&o(0)}if(s===n){let e=0===n?1:Math.abs(.05*n);a(n+e),t||o(s-e)}this.min=s,this.max=n}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:i,stepSize:s}=t;return s?(e=Math.ceil(this.max/s)-Math.floor(this.min/s)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${s} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),i=i||11),i&&(e=Math.min(i,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let i=this.getTickLimit();i=Math.max(2,i);const n=function(t,e){const i=[],{bounds:n,step:o,min:a,max:r,precision:l,count:h,maxTicks:c,maxDigits:d,includeBounds:u}=t,f=o||1,g=c-1,{min:p,max:m}=e,b=!s(a),x=!s(r),_=!s(h),y=(m-p)/(d+1);let v,M,w,k,S=B((m-p)/g/f)*f;if(S<1e-14&&!b&&!x)return[{value:p},{value:m}];k=Math.ceil(m/S)-Math.floor(p/S),k>g&&(S=B(k*S/g/f)*f),s(l)||(v=Math.pow(10,l),S=Math.ceil(S*v)/v),"ticks"===n?(M=Math.floor(p/S)*S,w=Math.ceil(m/S)*S):(M=p,w=m),b&&x&&o&&H((r-a)/o,S/1e3)?(k=Math.round(Math.min((r-a)/S,c)),S=(r-a)/k,M=a,w=r):_?(M=b?a:M,w=x?r:w,k=h-1,S=(w-M)/k):(k=(w-M)/S,k=V(k,Math.round(k),S/1e3)?Math.round(k):Math.ceil(k));const P=Math.max(U(S),U(M));v=Math.pow(10,s(l)?P:l),M=Math.round(M*v)/v,w=Math.round(w*v)/v;let D=0;for(b&&(u&&M!==a?(i.push({value:a}),Mr)break;i.push({value:t})}return x&&u&&w!==r?i.length&&V(i[i.length-1].value,r,mo(r,y,t))?i[i.length-1].value=r:i.push({value:r}):x&&w!==r||i.push({value:w}),i}({maxTicks:i,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&j(n,this,"value"),t.reverse?(n.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),n}configure(){const t=this.ticks;let e=this.min,i=this.max;if(super.configure(),this.options.offset&&t.length){const s=(i-e)/Math.max(t.length-1,1)/2;e-=s,i+=s}this._startValue=e,this._endValue=i,this._valueRange=i-e}getLabelForValue(t){return ne(t,this.chart.options.locale,this.options.ticks.format)}}class xo extends bo{static id="linear";static defaults={ticks:{callback:ae.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?t:0,this.max=a(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,i=$(this.options.ticks.minRotation),s=(t?Math.sin(i):Math.cos(i))||.001,n=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,n.lineHeight/s))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const _o=t=>Math.floor(z(t)),yo=(t,e)=>Math.pow(10,_o(t)+e);function vo(t){return 1===t/Math.pow(10,_o(t))}function Mo(t,e,i){const s=Math.pow(10,i),n=Math.floor(t/s);return Math.ceil(e/s)-n}function wo(t,{min:e,max:i}){e=r(t.min,e);const s=[],n=_o(e);let o=function(t,e){let i=_o(e-t);for(;Mo(t,e,i)>10;)i++;for(;Mo(t,e,i)<10;)i--;return Math.min(i,_o(t))}(e,i),a=o<0?Math.pow(10,Math.abs(o)):1;const l=Math.pow(10,o),h=n>o?Math.pow(10,n):0,c=Math.round((e-h)*a)/a,d=Math.floor((e-h)/l/10)*l*10;let u=Math.floor((c-d)/Math.pow(10,o)),f=r(t.min,Math.round((h+d+u*Math.pow(10,o))*a)/a);for(;f=10?u=u<15?15:20:u++,u>=20&&(o++,u=2,a=o>=0?1:a),f=Math.round((h+d+u*Math.pow(10,o))*a)/a;const g=r(t.max,f);return s.push({value:g,major:vo(g),significand:u}),s}class ko extends Js{static id="logarithmic";static defaults={ticks:{callback:ae.formatters.logarithmic,major:{enabled:!0}}};constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const i=bo.prototype.parse.apply(this,[t,e]);if(0!==i)return a(i)&&i>0?i:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?Math.max(0,t):null,this.max=a(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!a(this._userMin)&&(this.min=t===yo(this.min,0)?yo(this.min,-1):yo(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let i=this.min,s=this.max;const n=e=>i=t?i:e,o=t=>s=e?s:t;i===s&&(i<=0?(n(1),o(10)):(n(yo(i,-1)),o(yo(s,1)))),i<=0&&n(yo(s,-1)),s<=0&&o(yo(i,1)),this.min=i,this.max=s}buildTicks(){const t=this.options,e=wo({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&j(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":ne(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=z(t),this._valueRange=z(this.max)-z(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(z(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function So(t){const e=t.ticks;if(e.display&&t.display){const t=ki(e.backdropPadding);return l(e.font&&e.font.size,ue.font.size)+t.height}return 0}function Po(t,e,i,s,n){return t===s||t===n?{start:e-i/2,end:e+i/2}:tn?{start:e-i,end:e}:{start:e,end:e+i}}function Do(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},i=Object.assign({},e),s=[],o=[],a=t._pointLabels.length,r=t.options.pointLabels,l=r.centerPointLabels?C/a:0;for(let u=0;ue.r&&(r=(s.end-e.r)/o,t.r=Math.max(t.r,e.r+r)),n.starte.b&&(l=(n.end-e.b)/a,t.b=Math.max(t.b,e.b+l))}function Oo(t,e,i){const s=t.drawingArea,{extra:n,additionalAngle:o,padding:a,size:r}=i,l=t.getPointPosition(e,s+n+a,o),h=Math.round(Y(G(l.angle+E))),c=function(t,e,i){90===i||270===i?t-=e/2:(i>270||i<90)&&(t-=e);return t}(l.y,r.h,h),d=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(h),u=function(t,e,i){"right"===i?t-=e:"center"===i&&(t-=e/2);return t}(l.x,r.w,d);return{visible:!0,x:l.x,y:c,textAlign:d,left:u,top:c,right:u+r.w,bottom:c+r.h}}function Ao(t,e){if(!e)return!0;const{left:i,top:s,right:n,bottom:o}=t;return!(Re({x:i,y:s},e)||Re({x:i,y:o},e)||Re({x:n,y:s},e)||Re({x:n,y:o},e))}function To(t,e,i){const{left:n,top:o,right:a,bottom:r}=i,{backdropColor:l}=e;if(!s(l)){const i=wi(e.borderRadius),s=ki(e.backdropPadding);t.fillStyle=l;const h=n-s.left,c=o-s.top,d=a-n+s.width,u=r-o+s.height;Object.values(i).some((t=>0!==t))?(t.beginPath(),He(t,{x:h,y:c,w:d,h:u,radius:i}),t.fill()):t.fillRect(h,c,d,u)}}function Lo(t,e,i,s){const{ctx:n}=t;if(i)n.arc(t.xCenter,t.yCenter,e,0,O);else{let i=t.getPointPosition(0,e);n.moveTo(i.x,i.y);for(let o=1;ot,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=ki(So(this.options)/2),e=this.width=this.maxWidth-t.width,i=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+i/2+t.top),this.drawingArea=Math.floor(Math.min(e,i)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=a(t)&&!isNaN(t)?t:0,this.max=a(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/So(this.options))}generateTickLabels(t){bo.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const i=d(this.options.pointLabels.callback,[t,e],this);return i||0===i?i:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?Do(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,i,s){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((i-s)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,i,s))}getIndexAngle(t){return G(t*(O/(this._pointLabels.length||1))+$(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(s(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(s(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t=0;n--){const e=t._pointLabelItems[n];if(!e.visible)continue;const o=s.setContext(t.getPointLabelContext(n));To(i,o,e);const a=Si(o.font),{x:r,y:l,textAlign:h}=e;Ne(i,t._pointLabels[n],r,l+a.lineHeight/2,a,{color:o.color,textAlign:h,textBaseline:"middle"})}}(this,o),s.display&&this.ticks.forEach(((t,e)=>{if(0!==e){r=this.getDistanceFromCenterForValue(t.value);const i=this.getContext(e),a=s.setContext(i),l=n.setContext(i);!function(t,e,i,s,n){const o=t.ctx,a=e.circular,{color:r,lineWidth:l}=e;!a&&!s||!r||!l||i<0||(o.save(),o.strokeStyle=r,o.lineWidth=l,o.setLineDash(n.dash),o.lineDashOffset=n.dashOffset,o.beginPath(),Lo(t,i,a,s),o.closePath(),o.stroke(),o.restore())}(this,a,r,o,l)}})),i.display){for(t.save(),a=o-1;a>=0;a--){const s=i.setContext(this.getPointLabelContext(a)),{color:n,lineWidth:o}=s;o&&n&&(t.lineWidth=o,t.strokeStyle=n,t.setLineDash(s.borderDash),t.lineDashOffset=s.borderDashOffset,r=this.getDistanceFromCenterForValue(e.ticks.reverse?this.min:this.max),l=this.getPointPosition(a,r),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,i=e.ticks;if(!i.display)return;const s=this.getIndexAngle(0);let n,o;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(s),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((s,a)=>{if(0===a&&!e.reverse)return;const r=i.setContext(this.getContext(a)),l=Si(r.font);if(n=this.getDistanceFromCenterForValue(this.ticks[a].value),r.showLabelBackdrop){t.font=l.string,o=t.measureText(s.label).width,t.fillStyle=r.backdropColor;const e=ki(r.backdropPadding);t.fillRect(-o/2-e.left,-n-l.size/2-e.top,o+e.width,l.size+e.height)}Ne(t,s.label,0,-n,l,{color:r.color,strokeColor:r.textStrokeColor,strokeWidth:r.textStrokeWidth})})),t.restore()}drawTitle(){}}const Ro={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},Io=Object.keys(Ro);function zo(t,e){return t-e}function Fo(t,e){if(s(e))return null;const i=t._adapter,{parser:n,round:o,isoWeekday:r}=t._parseOpts;let l=e;return"function"==typeof n&&(l=n(l)),a(l)||(l="string"==typeof n?i.parse(l,n):i.parse(l)),null===l?null:(o&&(l="week"!==o||!N(r)&&!0!==r?i.startOf(l,o):i.startOf(l,"isoWeek",r)),+l)}function Vo(t,e,i,s){const n=Io.length;for(let o=Io.indexOf(t);o=e?i[s]:i[n]]=!0}}else t[e]=!0}function Wo(t,e,i){const s=[],n={},o=e.length;let a,r;for(a=0;a=0&&(e[l].major=!0);return e}(t,s,n,i):s}class No extends Js{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const i=t.time||(t.time={}),s=this._adapter=new Rn._date(t.adapters.date);s.init(e),x(i.displayFormats,s.formats()),this._parseOpts={parser:i.parser,round:i.round,isoWeekday:i.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:Fo(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,i=t.time.unit||"day";let{min:s,max:n,minDefined:o,maxDefined:r}=this.getUserBounds();function l(t){o||isNaN(t.min)||(s=Math.min(s,t.min)),r||isNaN(t.max)||(n=Math.max(n,t.max))}o&&r||(l(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||l(this.getMinMax(!1))),s=a(s)&&!isNaN(s)?s:+e.startOf(Date.now(),i),n=a(n)&&!isNaN(n)?n:+e.endOf(Date.now(),i)+1,this.min=Math.min(s,n-1),this.max=Math.max(s+1,n)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,i=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],i=t[t.length-1]),{min:e,max:i}}buildTicks(){const t=this.options,e=t.time,i=t.ticks,s="labels"===i.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&s.length&&(this.min=this._userMin||s[0],this.max=this._userMax||s[s.length-1]);const n=this.min,o=nt(s,n,this.max);return this._unit=e.unit||(i.autoSkip?Vo(e.minUnit,this.min,this.max,this._getLabelCapacity(n)):function(t,e,i,s,n){for(let o=Io.length-1;o>=Io.indexOf(i);o--){const i=Io[o];if(Ro[i].common&&t._adapter.diff(n,s,i)>=e-1)return i}return Io[i?Io.indexOf(i):0]}(this,o.length,e.minUnit,this.min,this.max)),this._majorUnit=i.major.enabled&&"year"!==this._unit?function(t){for(let e=Io.indexOf(t)+1,i=Io.length;e+t.value)))}initOffsets(t=[]){let e,i,s=0,n=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),s=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,i=this.getDecimalForValue(t[t.length-1]),n=1===t.length?i:(i-this.getDecimalForValue(t[t.length-2]))/2);const o=t.length<3?.5:.25;s=J(s,0,o),n=J(n,0,o),this._offsets={start:s,end:n,factor:1/(s+1+n)}}_generate(){const t=this._adapter,e=this.min,i=this.max,s=this.options,n=s.time,o=n.unit||Vo(n.minUnit,e,i,this._getLabelCapacity(e)),a=l(s.ticks.stepSize,1),r="week"===o&&n.isoWeekday,h=N(r)||!0===r,c={};let d,u,f=e;if(h&&(f=+t.startOf(f,"isoWeek",r)),f=+t.startOf(f,h?"day":o),t.diff(i,e,o)>1e5*a)throw new Error(e+" and "+i+" are too far apart with stepSize of "+a+" "+o);const g="data"===s.ticks.source&&this.getDataTimestamps();for(d=f,u=0;d+t))}getLabelForValue(t){const e=this._adapter,i=this.options.time;return i.tooltipFormat?e.format(t,i.tooltipFormat):e.format(t,i.displayFormats.datetime)}format(t,e){const i=this.options.time.displayFormats,s=this._unit,n=e||i[s];return this._adapter.format(t,n)}_tickFormatFunction(t,e,i,s){const n=this.options,o=n.ticks.callback;if(o)return d(o,[t,e,i],this);const a=n.time.displayFormats,r=this._unit,l=this._majorUnit,h=r&&a[r],c=l&&a[l],u=i[e],f=l&&c&&u&&u.major;return this._adapter.format(t,s||(f?c:h))}generateTickLabels(t){let e,i,s;for(e=0,i=t.length;e0?a:1}getDataTimestamps(){let t,e,i=this._cache.data||[];if(i.length)return i;const s=this.getMatchingVisibleMetas();if(this._normalized&&s.length)return this._cache.data=s[0].controller.getAllParsedValues(this);for(t=0,e=s.length;t=t[r].pos&&e<=t[l].pos&&({lo:r,hi:l}=it(t,"pos",e)),({pos:s,time:o}=t[r]),({pos:n,time:a}=t[l])):(e>=t[r].time&&e<=t[l].time&&({lo:r,hi:l}=it(t,"time",e)),({time:s,pos:o}=t[r]),({time:n,pos:a}=t[l]));const h=n-s;return h?o+(a-o)*(e-s)/h:o}var jo=Object.freeze({__proto__:null,CategoryScale:class extends Js{static id="category";static defaults={ticks:{callback:po}};constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:i,label:s}of e)t[i]===s&&t.splice(i,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(s(t))return null;const i=this.getLabels();return((t,e)=>null===t?null:J(Math.round(t),0,e))(e=isFinite(e)&&i[e]===t?e:go(i,t,l(e,t),this._addedLabels),i.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:i,max:s}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(i=0),e||(s=this.getLabels().length-1)),this.min=i,this.max=s}buildTicks(){const t=this.min,e=this.max,i=this.options.offset,s=[];let n=this.getLabels();n=0===t&&e===n.length-1?n:n.slice(t,e+1),this._valueRange=Math.max(n.length-(i?0:1),1),this._startValue=this.min-(i?.5:0);for(let i=t;i<=e;i++)s.push({value:i});return s}getLabelForValue(t){return po.call(this,t)}configure(){super.configure(),this.isHorizontal()||(this._reversePixels=!this._reversePixels)}getPixelForValue(t){return"number"!=typeof t&&(t=this.parse(t)),null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}},LinearScale:xo,LogarithmicScale:ko,RadialLinearScale:Eo,TimeScale:No,TimeSeriesScale:class extends No{static id="timeseries";static defaults=No.defaults;constructor(t){super(t),this._table=[],this._minPos=void 0,this._tableRange=void 0}initOffsets(){const t=this._getTimestampsForTable(),e=this._table=this.buildLookupTable(t);this._minPos=Ho(e,this.min),this._tableRange=Ho(e,this.max)-this._minPos,super.initOffsets(t)}buildLookupTable(t){const{min:e,max:i}=this,s=[],n=[];let o,a,r,l,h;for(o=0,a=t.length;o=e&&l<=i&&s.push(l);if(s.length<2)return[{time:e,pos:0},{time:i,pos:1}];for(o=0,a=s.length;ot-e))}_getTimestampsForTable(){let t=this._cache.all||[];if(t.length)return t;const e=this.getDataTimestamps(),i=this.getLabelTimestamps();return t=e.length&&i.length?this.normalize(e.concat(i)):e.length?e:i,t=this._cache.all=t,t}getDecimalForValue(t){return(Ho(this._table,t)-this._minPos)/this._tableRange}getValueForPixel(t){const e=this._offsets,i=this.getDecimalForPixel(t)/e.factor-e.end;return Ho(this._table,i*this._tableRange+this._minPos,!0)}}});const $o=["rgb(54, 162, 235)","rgb(255, 99, 132)","rgb(255, 159, 64)","rgb(255, 205, 86)","rgb(75, 192, 192)","rgb(153, 102, 255)","rgb(201, 203, 207)"],Yo=$o.map((t=>t.replace("rgb(","rgba(").replace(")",", 0.5)")));function Uo(t){return $o[t%$o.length]}function Xo(t){return Yo[t%Yo.length]}function qo(t){let e=0;return(i,s)=>{const n=t.getDatasetMeta(s).controller;n instanceof jn?e=function(t,e){return t.backgroundColor=t.data.map((()=>Uo(e++))),e}(i,e):n instanceof $n?e=function(t,e){return t.backgroundColor=t.data.map((()=>Xo(e++))),e}(i,e):n&&(e=function(t,e){return t.borderColor=Uo(e),t.backgroundColor=Xo(e),++e}(i,e))}}function Ko(t){let e;for(e in t)if(t[e].borderColor||t[e].backgroundColor)return!0;return!1}var Go={id:"colors",defaults:{enabled:!0,forceOverride:!1},beforeLayout(t,e,i){if(!i.enabled)return;const{data:{datasets:s},options:n}=t.config,{elements:o}=n;if(!i.forceOverride&&(Ko(s)||(a=n)&&(a.borderColor||a.backgroundColor)||o&&Ko(o)))return;var a;const r=qo(t);s.forEach(r)}};function Zo(t){if(t._decimated){const e=t._data;delete t._decimated,delete t._data,Object.defineProperty(t,"data",{configurable:!0,enumerable:!0,writable:!0,value:e})}}function Jo(t){t.data.datasets.forEach((t=>{Zo(t)}))}var Qo={id:"decimation",defaults:{algorithm:"min-max",enabled:!1},beforeElementsUpdate:(t,e,i)=>{if(!i.enabled)return void Jo(t);const n=t.width;t.data.datasets.forEach(((e,o)=>{const{_data:a,indexAxis:r}=e,l=t.getDatasetMeta(o),h=a||e.data;if("y"===Pi([r,t.options.indexAxis]))return;if(!l.controller.supportsDecimation)return;const c=t.scales[l.xAxisID];if("linear"!==c.type&&"time"!==c.type)return;if(t.options.parsing)return;let{start:d,count:u}=function(t,e){const i=e.length;let s,n=0;const{iScale:o}=t,{min:a,max:r,minDefined:l,maxDefined:h}=o.getUserBounds();return l&&(n=J(it(e,o.axis,a).lo,0,i-1)),s=h?J(it(e,o.axis,r).hi+1,n,i)-n:i-n,{start:n,count:s}}(l,h);if(u<=(i.threshold||4*n))return void Zo(e);let f;switch(s(a)&&(e._data=h,delete e.data,Object.defineProperty(e,"data",{configurable:!0,enumerable:!0,get:function(){return this._decimated},set:function(t){this._data=t}})),i.algorithm){case"lttb":f=function(t,e,i,s,n){const o=n.samples||s;if(o>=i)return t.slice(e,e+i);const a=[],r=(i-2)/(o-2);let l=0;const h=e+i-1;let c,d,u,f,g,p=e;for(a[l++]=t[p],c=0;cu&&(u=f,d=t[s],g=s);a[l++]=d,p=g}return a[l++]=t[h],a}(h,d,u,n,i);break;case"min-max":f=function(t,e,i,n){let o,a,r,l,h,c,d,u,f,g,p=0,m=0;const b=[],x=e+i-1,_=t[e].x,y=t[x].x-_;for(o=e;og&&(g=l,d=o),p=(m*p+a.x)/++m;else{const i=o-1;if(!s(c)&&!s(d)){const e=Math.min(c,d),s=Math.max(c,d);e!==u&&e!==i&&b.push({...t[e],x:p}),s!==u&&s!==i&&b.push({...t[s],x:p})}o>0&&i!==u&&b.push(t[i]),b.push(a),h=e,m=0,f=g=l,c=d=u=o}}return b}(h,d,u,n);break;default:throw new Error(`Unsupported decimation algorithm '${i.algorithm}'`)}e._decimated=f}))},destroy(t){Jo(t)}};function ta(t,e,i,s){if(s)return;let n=e[t],o=i[t];return"angle"===t&&(n=G(n),o=G(o)),{property:t,start:n,end:o}}function ea(t,e,i){for(;e>t;e--){const t=i[e];if(!isNaN(t.x)&&!isNaN(t.y))break}return e}function ia(t,e,i,s){return t&&e?s(t[i],e[i]):t?t[i]:e?e[i]:0}function sa(t,e){let i=[],s=!1;return n(t)?(s=!0,i=t):i=function(t,e){const{x:i=null,y:s=null}=t||{},n=e.points,o=[];return e.segments.forEach((({start:t,end:e})=>{e=ea(t,e,n);const a=n[t],r=n[e];null!==s?(o.push({x:a.x,y:s}),o.push({x:r.x,y:s})):null!==i&&(o.push({x:i,y:a.y}),o.push({x:i,y:r.y}))})),o}(t,e),i.length?new no({points:i,options:{tension:0},_loop:s,_fullLoop:s}):null}function na(t){return t&&!1!==t.fill}function oa(t,e,i){let s=t[e].fill;const n=[e];let o;if(!i)return s;for(;!1!==s&&-1===n.indexOf(s);){if(!a(s))return s;if(o=t[s],!o)return!1;if(o.visible)return s;n.push(s),s=o.fill}return!1}function aa(t,e,i){const s=function(t){const e=t.options,i=e.fill;let s=l(i&&i.target,i);void 0===s&&(s=!!e.backgroundColor);if(!1===s||null===s)return!1;if(!0===s)return"origin";return s}(t);if(o(s))return!isNaN(s.value)&&s;let n=parseFloat(s);return a(n)&&Math.floor(n)===n?function(t,e,i,s){"-"!==t&&"+"!==t||(i=e+i);if(i===e||i<0||i>=s)return!1;return i}(s[0],e,n,i):["origin","start","end","stack","shape"].indexOf(s)>=0&&s}function ra(t,e,i){const s=[];for(let n=0;n=0;--e){const i=n[e].$filler;i&&(i.line.updateControlPoints(o,i.axis),s&&i.fill&&da(t.ctx,i,o))}},beforeDatasetsDraw(t,e,i){if("beforeDatasetsDraw"!==i.drawTime)return;const s=t.getSortedVisibleDatasetMetas();for(let e=s.length-1;e>=0;--e){const i=s[e].$filler;na(i)&&da(t.ctx,i,t.chartArea)}},beforeDatasetDraw(t,e,i){const s=e.meta.$filler;na(s)&&"beforeDatasetDraw"===i.drawTime&&da(t.ctx,s,t.chartArea)},defaults:{propagate:!0,drawTime:"beforeDatasetDraw"}};const ba=(t,e)=>{let{boxHeight:i=e,boxWidth:s=e}=t;return t.usePointStyle&&(i=Math.min(i,e),s=t.pointStyleWidth||Math.min(s,e)),{boxWidth:s,boxHeight:i,itemHeight:Math.max(e,i)}};class xa extends Hs{constructor(t){super(),this._added=!1,this.legendHitBoxes=[],this._hoveredItem=null,this.doughnutMode=!1,this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this.legendItems=void 0,this.columnSizes=void 0,this.lineWidths=void 0,this.maxHeight=void 0,this.maxWidth=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.height=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e,i){this.maxWidth=t,this.maxHeight=e,this._margins=i,this.setDimensions(),this.buildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let e=d(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.data)))),t.sort&&(e=e.sort(((e,i)=>t.sort(e,i,this.chart.data)))),this.options.reverse&&e.reverse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return void(this.width=this.height=0);const i=t.labels,s=Si(i.font),n=s.size,o=this._computeTitleHeight(),{boxWidth:a,itemHeight:r}=ba(i,n);let l,h;e.font=s.string,this.isHorizontal()?(l=this.maxWidth,h=this._fitRows(o,n,a,r)+10):(h=this.maxHeight,l=this._fitCols(o,s,a,r)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),this.height=Math.min(h,t.maxHeight||this.maxHeight)}_fitRows(t,e,i,s){const{ctx:n,maxWidth:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.lineWidths=[0],h=s+a;let c=t;n.textAlign="left",n.textBaseline="middle";let d=-1,u=-h;return this.legendItems.forEach(((t,f)=>{const g=i+e/2+n.measureText(t.text).width;(0===f||l[l.length-1]+g+2*a>o)&&(c+=h,l[l.length-(f>0?0:1)]=0,u+=h,d++),r[f]={left:0,top:u,row:d,width:g,height:s},l[l.length-1]+=g+a})),c}_fitCols(t,e,i,s){const{ctx:n,maxHeight:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.columnSizes=[],h=o-t;let c=a,d=0,u=0,f=0,g=0;return this.legendItems.forEach(((t,o)=>{const{itemWidth:p,itemHeight:m}=function(t,e,i,s,n){const o=function(t,e,i,s){let n=t.text;n&&"string"!=typeof n&&(n=n.reduce(((t,e)=>t.length>e.length?t:e)));return e+i.size/2+s.measureText(n).width}(s,t,e,i),a=function(t,e,i){let s=t;"string"!=typeof e.text&&(s=_a(e,i));return s}(n,s,e.lineHeight);return{itemWidth:o,itemHeight:a}}(i,e,n,t,s);o>0&&u+m+2*a>h&&(c+=d+a,l.push({width:d,height:u}),f+=d+a,g++,d=u=0),r[o]={left:f,top:u,col:g,width:p,height:m},d=Math.max(d,p),u+=m+a})),c+=d,l.push({width:d,height:u}),c}adjustHitBoxes(){if(!this.options.display)return;const t=this._computeTitleHeight(),{legendHitBoxes:e,options:{align:i,labels:{padding:s},rtl:n}}=this,o=Oi(n,this.left,this.width);if(this.isHorizontal()){let n=0,a=ft(i,this.left+s,this.right-this.lineWidths[n]);for(const r of e)n!==r.row&&(n=r.row,a=ft(i,this.left+s,this.right-this.lineWidths[n])),r.top+=this.top+t+s,r.left=o.leftForLtr(o.x(a),r.width),a+=r.width+s}else{let n=0,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height);for(const r of e)r.col!==n&&(n=r.col,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height)),r.top=a,r.left+=this.left+s,r.left=o.leftForLtr(o.x(r.left),r.width),a+=r.height+s}}isHorizontal(){return"top"===this.options.position||"bottom"===this.options.position}draw(){if(this.options.display){const t=this.ctx;Ie(t,this),this._draw(),ze(t)}}_draw(){const{options:t,columnSizes:e,lineWidths:i,ctx:s}=this,{align:n,labels:o}=t,a=ue.color,r=Oi(t.rtl,this.left,this.width),h=Si(o.font),{padding:c}=o,d=h.size,u=d/2;let f;this.drawTitle(),s.textAlign=r.textAlign("left"),s.textBaseline="middle",s.lineWidth=.5,s.font=h.string;const{boxWidth:g,boxHeight:p,itemHeight:m}=ba(o,d),b=this.isHorizontal(),x=this._computeTitleHeight();f=b?{x:ft(n,this.left+c,this.right-i[0]),y:this.top+c+x,line:0}:{x:this.left+c,y:ft(n,this.top+x+c,this.bottom-e[0].height),line:0},Ai(this.ctx,t.textDirection);const _=m+c;this.legendItems.forEach(((y,v)=>{s.strokeStyle=y.fontColor,s.fillStyle=y.fontColor;const M=s.measureText(y.text).width,w=r.textAlign(y.textAlign||(y.textAlign=o.textAlign)),k=g+u+M;let S=f.x,P=f.y;r.setWidth(this.width),b?v>0&&S+k+c>this.right&&(P=f.y+=_,f.line++,S=f.x=ft(n,this.left+c,this.right-i[f.line])):v>0&&P+_>this.bottom&&(S=f.x=S+e[f.line].width+c,f.line++,P=f.y=ft(n,this.top+x+c,this.bottom-e[f.line].height));if(function(t,e,i){if(isNaN(g)||g<=0||isNaN(p)||p<0)return;s.save();const n=l(i.lineWidth,1);if(s.fillStyle=l(i.fillStyle,a),s.lineCap=l(i.lineCap,"butt"),s.lineDashOffset=l(i.lineDashOffset,0),s.lineJoin=l(i.lineJoin,"miter"),s.lineWidth=n,s.strokeStyle=l(i.strokeStyle,a),s.setLineDash(l(i.lineDash,[])),o.usePointStyle){const a={radius:p*Math.SQRT2/2,pointStyle:i.pointStyle,rotation:i.rotation,borderWidth:n},l=r.xPlus(t,g/2);Ee(s,a,l,e+u,o.pointStyleWidth&&g)}else{const o=e+Math.max((d-p)/2,0),a=r.leftForLtr(t,g),l=wi(i.borderRadius);s.beginPath(),Object.values(l).some((t=>0!==t))?He(s,{x:a,y:o,w:g,h:p,radius:l}):s.rect(a,o,g,p),s.fill(),0!==n&&s.stroke()}s.restore()}(r.x(S),P,y),S=gt(w,S+g+u,b?S+k:this.right,t.rtl),function(t,e,i){Ne(s,i.text,t,e+m/2,h,{strikethrough:i.hidden,textAlign:r.textAlign(i.textAlign)})}(r.x(S),P,y),b)f.x+=k+c;else if("string"!=typeof y.text){const t=h.lineHeight;f.y+=_a(y,t)+c}else f.y+=_})),Ti(this.ctx,t.textDirection)}drawTitle(){const t=this.options,e=t.title,i=Si(e.font),s=ki(e.padding);if(!e.display)return;const n=Oi(t.rtl,this.left,this.width),o=this.ctx,a=e.position,r=i.size/2,l=s.top+r;let h,c=this.left,d=this.width;if(this.isHorizontal())d=Math.max(...this.lineWidths),h=this.top+l,c=ft(t.align,c,this.right-d);else{const e=this.columnSizes.reduce(((t,e)=>Math.max(t,e.height)),0);h=l+ft(t.align,this.top,this.bottom-e-t.labels.padding-this._computeTitleHeight())}const 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An.register(Yn,jo,fo,t),An.helpers={...Wi},An._adapters=Rn,An.Animation=Cs,An.Animations=Os,An.animator=xt,An.controllers=en.controllers.items,An.DatasetController=Ns,An.Element=Hs,An.elements=fo,An.Interaction=Xi,An.layouts=as,An.platforms=Ss,An.Scale=Js,An.Ticks=ae,Object.assign(An,Yn,jo,fo,t,Ss),An.Chart=An,"undefined"!=typeof window&&(window.Chart=An),An})); +//# sourceMappingURL=chart.umd.js.map diff --git a/docs/features/peak-shaving-scenarios.md b/docs/features/peak-shaving-scenarios.md new file mode 100644 index 00000000..41694777 --- /dev/null +++ b/docs/features/peak-shaving-scenarios.md @@ -0,0 +1,179 @@ +# Peak Shaving Scenarios + +This page walks one example day through every combination of the three peak +shaving rules, so you can see how batcontrol would actually behave before +enabling anything. See [Peak Shaving](peak-shaving.md) for the parameters and +the algorithms themselves. + +Every chart is generated from the shipped implementation -- +`scripts/generate_peak_shaving_csv.py` runs the real +`_apply_peak_shaving` and `_apply_solar_limit` steps over the example day and +writes the result as CSV. The charts cannot drift away from the code. + +## The example day + +| Property | Value | +|----------|-------| +| Resolution | 15 minutes (96 slots) | +| Battery | 10 kWh, 20 % at midnight | +| PV | clear day, peak 5000 W at 13:00 | +| House load | 400 W constant | +| Feed-in limit | 4000 W (`feed_in_limit_w`), headroom 1.0 | +| Cheap price window | 11:00 - 14:00 at 0.03 EUR/kWh (`price_limit` 0.05) | +| Other prices | 0.28 EUR/kWh, evening peak 0.42 EUR/kWh | +| Target hour | 14:00 (`allow_full_battery_after`) | + +Because PV peaks at 5000 W against a 400 W load, the surplus reaches 4600 W -- +600 W above the feed-in limit. Everything above the limit is curtailed unless +the battery absorbs it. + +!!! note "What the simulation does and does not cover" + The charts isolate the peak shaving post-processing: the upstream + discharge decision is stipulated as "discharge allowed, no grid + charging". In a real run the evening price peak of 0.42 EUR/kWh can make + batcontrol withhold the battery for expensive hours, which skips the time + and price rules entirely. See + [When Peak Shaving is Skipped](peak-shaving.md#when-peak-shaving-is-skipped). + +## Reading the charts + +| Series | Meaning | +|--------|---------| +| PV surplus (W) | production minus house load | +| Applied charge limit (W) | what batcontrol sets via Mode 8; gaps mean "no limit" | +| Battery charge (W) | what the battery actually absorbs | +| Curtailed (W) | surplus above the feed-in limit that nobody took -- lost energy | +| SoC (%) | battery state of charge, right axis | +| SoC without peak shaving (%) | the baseline run, for comparison | + +## Baseline: no peak shaving + +The battery charges as fast as the PV allows and is full at 11:45 -- well +before the production peak. From then on everything above the feed-in limit is +curtailed. + +
+ +## Single rules + +### Time based only + +`time_active: true` + +The counter-linear ramp spreads the remaining free capacity over the slots +until `allow_full_battery_after`. The limit starts at the 500 W minimum charge +rate and rises steeply as 14:00 approaches, because the per-slot allocation is +`2 * free_capacity / (n * (n + 1))` with `n` shrinking. The battery reaches +full exactly around the target hour instead of at lunchtime. + +
+ +### Price based only + +`price_active: true`, `price_limit: 0.05` + +Until 11:00 the rule returns **0** -- a hard block. The PV surplus expected +during the cheap window exceeds the free capacity, so no charging at all is +allowed beforehand and the whole battery is kept for the cheap hours. At 11:00 +the cheap window opens and the reserved capacity is spread evenly over the +remaining cheap slots. + +Note the difference to the time rule: the price rule distributes **flat** +(`free_capacity / number of cheap slots`), not as a rising ramp. It is +recomputed every cycle, so the value still drifts upward as cheap slots are +used up and free capacity shrinks. + +
+ +### Solar cap only + +`solar_cap_active: true`, `feed_in_limit_w: 4000` + +Two phases are visible. Before the clip window the rule only reserves capacity +(`free_capacity - predicted clip energy`, spread over the time until clipping +starts) -- the battery charges nearly unrestricted. From 11:45 the surplus +exceeds the feed-in limit and the rule switches to a **floor**: a minimum +charge rate that tracks the excess over 4000 W, peaking at 600 W at 13:00. + +
+ +!!! warning "This rule alone curtails more than the time rule here" + Look at the applied limit between 11:45 and 12:15: the floor asks for + 54 / 243 / 396 W, but the limit sits at 500 W. The + [minimum charge rate](peak-shaving.md#interaction-with-the-minimum-charge-rate) + overrides the floor, the battery charges about 202 Wh more than intended + and is full at 13:30 -- right before the peak. The red curtailment band + after 13:30 is exactly that energy coming back. + + Combined with the time rule the battery still has room when clipping + starts and the day ends at zero curtailment. Tracked in + [issue #409](https://github.com/MaStr/batcontrol/issues/409). + +## Combinations + +When several rules are active the caps compete and the strictest wins, but the +solar floor overrides all of them: + +``` +final_limit = max(solar_floor, min(all_caps)) +``` + +### Time + Price + +
+ +The price block dominates the morning, then the time ramp takes over inside the +cheap window because it is the stricter of the two. + +### Time + Solar cap + +
+ +The time ramp holds the battery back through the morning, so the full free +capacity is still available when clipping starts. This combination reaches zero +curtailment. + +### Price + Solar cap + +
+ +### All three rules + +
+ +From 12:30 both the time and the price rule switch off -- the remaining surplus +no longer exceeds the free capacity, so neither needs to cap anything. The +solar floor keeps working past the 14:00 target hour, which is why the battery +only reaches 100 % in the late afternoon. + +## Comparison + +
+ +The trade-off is visible in the last two columns: peak shaving does not charge +*more* energy into the battery, it charges the *same* energy *later*, which +keeps room free for the hours when energy would otherwise be lost. + +## Changing the example day + +The charts are driven by two committed input files: + +| File | Content | +|------|---------| +| `scripts/data/peak_shaving_example_day.csv` | the time series: `time`, `pv_w`, `consumption_w`, `price` | +| `scripts/data/peak_shaving_example_day.yaml` | battery, rule parameters and the list of configurations | + +Edit those to change the scenario, then regenerate: + +```bash +python scripts/generate_peak_shaving_csv.py +``` + +The generated datasets under `docs/assets/data/peak_shaving/` are **build +output and not committed** -- the documentation build produces them before +`mkdocs build`, so the published charts always match the current +implementation. Run the command once before `mkdocs serve` to preview the +charts locally, otherwise they will report missing data. + +Adding a configuration to the YAML creates a new dataset automatically; embed +it in a page with `
`. diff --git a/docs/features/peak-shaving.md b/docs/features/peak-shaving.md index ccdee91c..fc1d89d1 100644 --- a/docs/features/peak-shaving.md +++ b/docs/features/peak-shaving.md @@ -151,7 +151,7 @@ The rule works in two phases: **Before clipping starts (reservation):** free battery capacity minus the predicted total clip energy is spread evenly. If the required reserve exceeds free capacity, PV charging is blocked entirely (cap 0). This prevents normal PV power from displacing clip power in the battery. -**During clipping (floor + absorption):** the battery is required to accept at least the power above the feed-in limit. If free capacity is scarce, the cap equals the floor (absorb *only* clip power, grid feed-in at the limit). Otherwise, the battery can absorb additional surplus below the limit. +**During clipping (floor + absorption):** the battery is required to accept at least the power above the feed-in limit. If free capacity is scarce, the cap equals the floor (absorb *only* clip power, grid feed-in at the limit) -- but see the [minimum charge rate interaction](#interaction-with-the-minimum-charge-rate) below, which partly defeats this at the edges of the clip window. Otherwise, the battery can absorb additional surplus below the limit. ![The solar_cap rule: reservation cap, floor, and SoC comparison](../assets/solar_limit_algorithm.png) @@ -183,6 +183,7 @@ In words: if the solar floor (minimum charge rate needed to absorb clipped power - **Solar forecast sensitivity:** the rule relies on production forecasts, which may underestimate peak production on clear days. The `feed_in_limit_headroom` parameter mitigates this, but a live measurement of current production would be more accurate. - **Inverter max charge rate:** if your inverter's `max_pv_charge_rate` is below the predicted clip power, some curtailment is physically unavoidable. Batcontrol logs a startup warning when this condition is detected. +- **Minimum charge rate eats the reserve:** at the start and end of the clip window the floor is small, and the 500 W minimum charge rate overrides it. See the section below. For a detailed evaluation of the algorithm including simulation results and sensitivity analysis, see [Solar Limit Evaluation](../development/solar-limit-evaluation.md). @@ -192,6 +193,36 @@ The calculated charge limit is applied via **Mode 8** (`LIMIT_BATTERY_CHARGE_RAT A minimum charge rate of **500 W** is enforced: any computed limit between 1 W and 499 W is raised to 500 W to avoid inefficient low-power charging. A limit of exactly **0 W** (block charging completely) is kept as-is and is not raised. +### Interaction with the minimum charge rate + +The minimum charge rate is applied *after* the rules have been merged, so it can override a deliberately low limit. This matters most for the solar cap rule when free capacity is scarce and the cap has been set equal to the floor. + +At the edges of the clip window the excess over the feed-in limit is only a few dozen watts. The rule therefore asks for a correspondingly small charge rate, but the 500 W minimum raises it -- and the battery consumes capacity that was reserved for the peak. + +The example day on the [scenarios page](peak-shaving-scenarios.md) shows the effect for the "Solar cap only" configuration: + +| Slot | Floor asked for | Actually charged | +|------|-----------------|------------------| +| 11:45 | 54 W | 500 W | +| 12:00 | 243 W | 500 W | +| 12:15 | 396 W | 500 W | + +``` +clip energy in those three slots : 173 Wh (what the rule intended) +actually charged at 500 W : 375 Wh +excess : 202 Wh +``` + +Those 202 Wh are missing later: the battery reaches 100 % at 13:30, just before the production peak, and the remaining excess is curtailed. On that day the solar cap rule alone therefore loses about 0.2 kWh -- slightly more than the time based rule, which holds the battery back far longer. + +!!! tip "Practical consequence" + Do not run `solar_cap_active` on its own if your battery tends to be nearly + full when clipping starts. Combined with `time_active` the battery still + has room at the beginning of the clip window, the floor stays above 500 W + where it matters, and the example day reaches zero curtailment. + +This is a genuine trade-off rather than a clear defect: the 500 W minimum exists because charging a battery at 54 W is inefficient. It is tracked in [issue #409](https://github.com/MaStr/batcontrol/issues/409). + The charge limit is published via MQTT: | Topic | Type | Retained | Description | diff --git a/mkdocs.yml b/mkdocs.yml index 2e507461..722ff05a 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -70,6 +70,7 @@ plugins: - configuration/consumption-forecast.md: CSV load profile and Home Assistant API forecast Features: - features/peak-shaving.md: Dynamic PV charge rate limiting to maximize solar absorption + - features/peak-shaving-scenarios.md: Worked example day for every peak shaving rule combination - features/battery-control-expert.md: Advanced tuning parameters - features/price-difference-calculation.md: How price thresholds are calculated Integrations: @@ -95,6 +96,7 @@ nav: - Features: - Battery Control Expert: features/battery-control-expert.md - Peak Shaving: features/peak-shaving.md + - Peak Shaving Scenarios: features/peak-shaving-scenarios.md - Price Difference Calculation: features/price-difference-calculation.md - Integrations: - MQTT API: integrations/mqtt-api.md @@ -105,6 +107,13 @@ nav: - 15-Minute Interval Transformation: development/15-min-transform.md - Solar Feed-in Limit Evaluation: development/solar-limit-evaluation.md +extra_javascript: + - assets/js/vendor/chart.umd.js + - assets/js/peak-shaving-charts.js + +extra_css: + - assets/css/peak-shaving-charts.css + validation: links: not_found: warn diff --git a/scripts/README.md b/scripts/README.md index 1b17f432..458567d4 100644 --- a/scripts/README.md +++ b/scripts/README.md @@ -50,6 +50,79 @@ uv pip install matplotlib # not part of the project dependencies python scripts/plot_solar_limit_day.py ``` +### generate_peak_shaving_csv.py + +Generates the datasets behind the interactive charts on +`docs/features/peak-shaving-scenarios.md`. Reads one example day plus the +scenario parameters, simulates it for every combination of the three peak +shaving rules (time / price / solar_cap, plus a no-peak-shaving baseline) and +writes one CSV per configuration. + +**Input** (committed, edit these to change the scenario): + +| File | Content | +|------|---------| +| `scripts/data/peak_shaving_example_day.csv` | time series: `time`, `pv_w`, `consumption_w`, `price` | +| `scripts/data/peak_shaving_example_day.yaml` | battery, rule parameters, list of configurations | + +**Output** (generated, gitignored): `docs/assets/data/peak_shaving/.csv` +plus `summary.csv`. + +**Usage:** +```bash +python scripts/generate_peak_shaving_csv.py [--day CSV] [--params YAML] [--out DIR] +``` + +The `Deploy Documentation` workflow runs this before `mkdocs build`, so the +published site is always regenerated from the committed input. Run it once +locally before `mkdocs serve`, otherwise the charts report missing data. + +The simulation drives the shipped implementation -- it builds a +`CalculationInput` per slot and calls `NextLogic._apply_peak_shaving` and +`NextLogic._apply_solar_limit`, the same two post-processing steps +`calculate_inverter_mode` runs -- so the published charts cannot drift away +from the actual behaviour. No plotting dependencies: the charts are rendered +in the browser by `docs/assets/js/peak-shaving-charts.js` (Chart.js, vendored +under `docs/assets/js/vendor/`). + +**Scope:** the upstream discharge decision is stipulated +(`allow_discharge=True`, `charge_from_grid=False`) so the charts isolate the +peak shaving post-processing. A real run can skip the time and price rules +entirely when the battery is withheld for expensive hours. + +### verify_pv_surplus_charge_limit.py + +Step-by-step desk check of the PV surplus -> charge limit conversion in the +solar feed-in limit rule (`solar_cap`). The rule has to bridge two units: the +forecast arrays hold **energy per slot (Wh)**, while both the configured +feed-in limit and the resulting battery charge limit are **power values (W)**. + +The script prints the per-slot Wh arithmetic next to the equivalent power +values so the conversion can be verified by hand. Every number is produced by +the real `src/batcontrol/logic/solar_limit.py` implementation -- unlike +`simulate_solar_limit_day.py`, this script does not carry its own copy of the +algorithm. Cross-checks are enforced with `assert`, so the script fails loudly +if the production code ever stops matching the expected arithmetic. + +**Usage:** +```bash +python scripts/verify_pv_surplus_charge_limit.py +``` + +**Reference scenario:** feed-in limit 4000 W, PV 5000 W, house load 400 W +-> expected floor `(5000 - 400) - 4000 = 600 W`. + +**Scenarios:** +- `B1` inside the clip slot -- floor equals the excess over the feed-in limit +- `B2` mid-slot (12:07:30) -- every Wh value halves, the floor stays 600 W + because surplus and allowance both scale with the slot length +- `B3` scarce free capacity -- cap collapses onto the floor +- `B4` headroom 1.1 applied to the forecast surplus +- `A` clip window still ahead -- reservation cap instead of a floor +- resolution -- one physical PV curve sampled at 15 vs 60 minutes, showing how + coarse slots average away a sharp peak +- merge -- how the floor interacts with the time/price peak shaving caps + ### test_evcc.py Standalone test script for the evcc dynamic tariff module. diff --git a/scripts/data/peak_shaving_example_day.csv b/scripts/data/peak_shaving_example_day.csv new file mode 100644 index 00000000..154ff7c2 --- /dev/null +++ b/scripts/data/peak_shaving_example_day.csv @@ -0,0 +1,97 @@ +time,pv_w,consumption_w,price +00:00,0.0,400.0,0.28 +00:15,0.0,400.0,0.28 +00:30,0.0,400.0,0.28 +00:45,0.0,400.0,0.28 +01:00,0.0,400.0,0.28 +01:15,0.0,400.0,0.28 +01:30,0.0,400.0,0.28 +01:45,0.0,400.0,0.28 +02:00,0.0,400.0,0.28 +02:15,0.0,400.0,0.28 +02:30,0.0,400.0,0.28 +02:45,0.0,400.0,0.28 +03:00,0.0,400.0,0.28 +03:15,0.0,400.0,0.28 +03:30,0.0,400.0,0.28 +03:45,0.0,400.0,0.28 +04:00,0.0,400.0,0.28 +04:15,0.0,400.0,0.28 +04:30,0.0,400.0,0.28 +04:45,0.0,400.0,0.28 +05:00,0.0,400.0,0.28 +05:15,0.0,400.0,0.28 +05:30,0.0,400.0,0.28 +05:45,0.0,400.0,0.28 +06:00,0.0,400.0,0.28 +06:15,0.0,400.0,0.28 +06:30,0.0,400.0,0.28 +06:45,0.0,400.0,0.28 +07:00,348.8,400.0,0.28 +07:15,433.4,400.0,0.28 +07:30,533.7,400.0,0.28 +07:45,651.0,400.0,0.28 +08:00,786.9,400.0,0.28 +08:15,942.3,400.0,0.28 +08:30,1118.1,400.0,0.28 +08:45,1314.5,400.0,0.28 +09:00,1531.1,400.0,0.28 +09:15,1767.1,400.0,0.28 +09:30,2020.6,400.0,0.28 +09:45,2289.2,400.0,0.28 +10:00,2569.6,400.0,0.28 +10:15,2857.9,400.0,0.28 +10:30,3149.2,400.0,0.28 +10:45,3438.4,400.0,0.28 +11:00,3719.5,400.0,0.03 +11:15,3986.5,400.0,0.03 +11:30,4233.5,400.0,0.03 +11:45,4454.3,400.0,0.03 +12:00,4643.5,400.0,0.03 +12:15,4796.2,400.0,0.03 +12:30,4908.4,400.0,0.03 +12:45,4976.9,400.0,0.03 +13:00,5000.0,400.0,0.03 +13:15,4976.9,400.0,0.03 +13:30,4908.4,400.0,0.03 +13:45,4796.2,400.0,0.03 +14:00,4643.5,400.0,0.28 +14:15,4454.3,400.0,0.28 +14:30,4233.5,400.0,0.28 +14:45,3986.5,400.0,0.28 +15:00,3719.5,400.0,0.28 +15:15,3438.4,400.0,0.28 +15:30,3149.2,400.0,0.28 +15:45,2857.9,400.0,0.28 +16:00,2569.6,400.0,0.28 +16:15,2289.2,400.0,0.28 +16:30,2020.6,400.0,0.28 +16:45,1767.1,400.0,0.28 +17:00,1531.1,400.0,0.42 +17:15,1314.5,400.0,0.42 +17:30,1118.1,400.0,0.42 +17:45,942.3,400.0,0.42 +18:00,786.9,400.0,0.42 +18:15,651.0,400.0,0.42 +18:30,533.7,400.0,0.42 +18:45,433.4,400.0,0.42 +19:00,348.8,400.0,0.42 +19:15,0.0,400.0,0.42 +19:30,0.0,400.0,0.42 +19:45,0.0,400.0,0.42 +20:00,0.0,400.0,0.28 +20:15,0.0,400.0,0.28 +20:30,0.0,400.0,0.28 +20:45,0.0,400.0,0.28 +21:00,0.0,400.0,0.28 +21:15,0.0,400.0,0.28 +21:30,0.0,400.0,0.28 +21:45,0.0,400.0,0.28 +22:00,0.0,400.0,0.28 +22:15,0.0,400.0,0.28 +22:30,0.0,400.0,0.28 +22:45,0.0,400.0,0.28 +23:00,0.0,400.0,0.28 +23:15,0.0,400.0,0.28 +23:30,0.0,400.0,0.28 +23:45,0.0,400.0,0.28 diff --git a/scripts/data/peak_shaving_example_day.yaml b/scripts/data/peak_shaving_example_day.yaml new file mode 100644 index 00000000..908372b6 --- /dev/null +++ b/scripts/data/peak_shaving_example_day.yaml @@ -0,0 +1,73 @@ +# Scenario parameters for the peak shaving documentation charts. +# +# Consumed by scripts/generate_peak_shaving_csv.py together with the time +# series in peak_shaving_example_day.csv. Edit these two files to change the +# example day shown on docs/features/peak-shaving-scenarios.md -- the script +# and the charts adapt automatically. + +# Time resolution of the input CSV. Must divide 60. +interval_minutes: 15 + +battery: + # Usable capacity in Wh. + max_capacity_wh: 10000 + # State of charge at the first slot of the input CSV, 0.0 - 1.0. + start_soc: 0.20 + # Battery is considered "high SoC" above this fraction, which disables the + # time and price rules (mirrors always_allow_discharge_limit). + always_allow_discharge_limit: 0.90 + +peak_shaving: + # Hour by which the battery should be full (allow_full_battery_after). + allow_full_battery_after: 14 + # Slots at or below this price count as "cheap" for the price rule. + price_limit: 0.05 + # Grid feed-in power limit in W for the solar_cap rule. + feed_in_limit_w: 4000 + # Safety factor >= 1.0 on the forecast surplus. + feed_in_limit_headroom: 1.0 + +# Rule combinations to simulate. Each becomes one .csv in the output +# directory and one row in summary.csv. The chart placeholders in the +# documentation reference these names via data-scenario. +configurations: + - name: baseline + label: No peak shaving + time_active: false + price_active: false + solar_cap_active: false + - name: time + label: Time based only + time_active: true + price_active: false + solar_cap_active: false + - name: price + label: Price based only + time_active: false + price_active: true + solar_cap_active: false + - name: solar + label: Solar cap only + time_active: false + price_active: false + solar_cap_active: true + - name: time_price + label: Time + Price + time_active: true + price_active: true + solar_cap_active: false + - name: time_solar + label: Time + Solar cap + time_active: true + price_active: false + solar_cap_active: true + - name: price_solar + label: Price + Solar cap + time_active: false + price_active: true + solar_cap_active: true + - name: all + label: All three rules + time_active: true + price_active: true + solar_cap_active: true diff --git a/scripts/generate_peak_shaving_csv.py b/scripts/generate_peak_shaving_csv.py new file mode 100644 index 00000000..8159fa8c --- /dev/null +++ b/scripts/generate_peak_shaving_csv.py @@ -0,0 +1,339 @@ +#!/usr/bin/env python3 +"""Generate the peak shaving scenario datasets for the documentation. + +Reads one example day (PV, consumption, price) plus the scenario parameters +from ``scripts/data/`` and simulates it for every combination of the three +peak shaving rules. Writes one CSV per configuration into +``docs/assets/data/peak_shaving/``, which the documentation renders as +interactive charts (see ``docs/assets/js/peak-shaving-charts.js``). + +Input (committed): + scripts/data/peak_shaving_example_day.csv time series + scripts/data/peak_shaving_example_day.yaml battery / rule parameters + +Output (generated, not committed): + docs/assets/data/peak_shaving/.csv + docs/assets/data/peak_shaving/summary.csv + +The output is produced during the documentation build, so it is gitignored. +Run this once before ``mkdocs serve`` to preview the charts locally. + +The simulation drives the REAL implementation: it builds a ``CalculationInput`` +per slot and calls ``NextLogic._apply_peak_shaving`` and +``NextLogic._apply_solar_limit``, the same two post-processing steps +``calculate_inverter_mode`` runs. Nothing about the rules is re-implemented +here, so the charts cannot drift away from the shipped behaviour. + +Scope note: the upstream discharge decision is stipulated +(``allow_discharge=True``, ``charge_from_grid=False``) so the charts isolate +the peak shaving behaviour. In a real run a high evening price can withhold +the battery for expensive hours, which skips the time and price rules +entirely -- see docs/features/peak-shaving.md for that gating. + +Usage: + python scripts/generate_peak_shaving_csv.py [--day CSV] [--params YAML] + [--out DIR] +""" +import argparse +import csv +import datetime +import os +import sys + +import numpy as np +import yaml + +# Add the src directory to Python path +sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) + +# pylint: disable=wrong-import-position +from batcontrol.logic import solar_limit +from batcontrol.logic.common import CommonLogic +from batcontrol.logic.logic_interface import ( + CalculationInput, + CalculationParameters, + InverterControlSettings, + PeakShavingConfig, +) +from batcontrol.logic.next import NextLogic + +HERE = os.path.dirname(__file__) +DEFAULT_DAY = os.path.join(HERE, 'data', 'peak_shaving_example_day.csv') +DEFAULT_PARAMS = os.path.join(HERE, 'data', 'peak_shaving_example_day.yaml') +DEFAULT_OUT = os.path.join(HERE, '..', 'docs', 'assets', 'data', 'peak_shaving') + +CSV_COLUMNS = [ + 'time', 'hour', 'pv_w', 'surplus_w', 'price', + 'limit_w', 'charge_w', 'to_grid_w', 'curtailed_w', + 'soc_pct', 'soc_baseline_pct', + 'rule_time_w', 'rule_price_w', 'rule_floor_w', 'rule_solar_cap_w', +] + + +# pylint: disable=too-many-instance-attributes,too-few-public-methods +class Scenario: + """The example day and its parameters, loaded from the input files.""" + + def __init__(self, day_path, params_path): + with open(params_path, encoding='utf-8') as handle: + params = yaml.safe_load(handle) + + self.interval_minutes = int(params['interval_minutes']) + self.interval_h = self.interval_minutes / 60.0 + + battery = params['battery'] + self.max_capacity_wh = float(battery['max_capacity_wh']) + self.start_soc = float(battery['start_soc']) + self.always_allow_discharge_limit = float( + battery['always_allow_discharge_limit']) + + shaving = params['peak_shaving'] + self.allow_full_battery_after = int(shaving['allow_full_battery_after']) + self.price_limit = float(shaving['price_limit']) + self.feed_in_limit_w = float(shaving['feed_in_limit_w']) + self.feed_in_limit_headroom = float(shaving['feed_in_limit_headroom']) + + self.configurations = params['configurations'] + + times, pv_w, consumption_w, price = [], [], [], [] + with open(day_path, newline='', encoding='utf-8') as handle: + for row in csv.DictReader(handle): + times.append(row['time']) + pv_w.append(float(row['pv_w'])) + consumption_w.append(float(row['consumption_w'])) + price.append(float(row['price'])) + + if not times: + raise ValueError(f'No rows in {day_path}') + + self.times = times + self.pv_w = np.array(pv_w, dtype=float) + self.consumption_w = np.array(consumption_w, dtype=float) + self.price = np.array(price, dtype=float) + self.slots = len(times) + self.hours = np.arange(self.slots) * self.interval_h + + def make_logic(self, time_active, price_active, solar_cap_active, enabled): + """Build a NextLogic instance with the requested rule switches.""" + logic = NextLogic(timezone=datetime.timezone.utc, + interval_minutes=self.interval_minutes) + logic.set_calculation_parameters(CalculationParameters( + max_charging_from_grid_limit=0.79, + min_price_difference=0.05, + min_price_difference_rel=0.2, + max_capacity=self.max_capacity_wh, + peak_shaving=PeakShavingConfig( + enabled=enabled, + allow_full_battery_after=self.allow_full_battery_after, + time_active=time_active, + price_active=price_active, + solar_cap_active=solar_cap_active, + price_limit=self.price_limit, + feed_in_limit_w=self.feed_in_limit_w, + feed_in_limit_headroom=self.feed_in_limit_headroom, + ), + )) + return logic + + +# The simulation deliberately calls the two post-processing steps directly so +# the charts show exactly what the shipped rules do. +# pylint: disable=protected-access,too-many-arguments,too-many-positional-arguments +def _rule_values(scenario, logic, calc_input, timestamp, stored_wh, common): + """Return the raw per-rule outputs for charting (-1 means 'not active').""" + peak_shaving = logic.calculation_parameters.peak_shaving + time_w, price_w, floor_w, solar_cap_w = -1, -1, 0, -1 + + if not peak_shaving.enabled or calc_input.production[0] <= 0: + return time_w, price_w, floor_w, solar_cap_w + + past_target = timestamp.hour >= peak_shaving.allow_full_battery_after + high_soc = common.is_discharge_always_allowed_capacity(stored_wh) + + if not past_target and not high_soc: + if peak_shaving.time_active: + time_w = logic._calculate_peak_shaving_charge_limit( + calc_input, timestamp) + if peak_shaving.price_active and peak_shaving.price_limit is not None: + price_w = logic._calculate_peak_shaving_charge_limit_price_based( + calc_input) + + if peak_shaving.solar_cap_active and peak_shaving.feed_in_limit_w > 0: + # Mirrors _apply_solar_limit's own call + floor_w, solar_cap_w = solar_limit.compute_solar_limit( + calc_input.production, calc_input.consumption, + peak_shaving.feed_in_limit_w, scenario.interval_h, + calc_input.free_capacity, scenario.max_capacity_wh, + headroom=peak_shaving.feed_in_limit_headroom, + slot0_hours=scenario.interval_h) + + return time_w, price_w, floor_w, solar_cap_w + + +# pylint: disable=too-many-locals +def simulate(scenario, config, baseline_soc=None): + """Run the example day for one configuration and return (rows, summary).""" + time_active = bool(config['time_active']) + price_active = bool(config['price_active']) + solar_cap_active = bool(config['solar_cap_active']) + + enabled = time_active or price_active or solar_cap_active + logic = scenario.make_logic(time_active, price_active, solar_cap_active, + enabled) + + common = CommonLogic.get_instance() + common.max_capacity = scenario.max_capacity_wh + common.always_allow_discharge_limit = scenario.always_allow_discharge_limit + + interval_h = scenario.interval_h + production_wh = scenario.pv_w * interval_h + consumption_wh = scenario.consumption_w * interval_h + + stored_wh = scenario.max_capacity_wh * scenario.start_soc + midnight = datetime.datetime(2025, 6, 21, tzinfo=datetime.timezone.utc) + + rows = [] + charged_wh = exported_wh = curtailed_wh = 0.0 + full_at = '' + + for i in range(scenario.slots): + free_wh = scenario.max_capacity_wh - stored_wh + timestamp = midnight + datetime.timedelta( + minutes=scenario.interval_minutes * i) + + calc_input = CalculationInput( + production=production_wh[i:], + consumption=consumption_wh[i:], + prices=scenario.price[i:], + stored_energy=stored_wh, + stored_usable_energy=stored_wh * 0.95, + free_capacity=free_wh, + ) + + # Same two post-processing steps calculate_inverter_mode runs, with the + # upstream discharge decision stipulated (see module docstring). + settings = InverterControlSettings( + allow_discharge=True, charge_from_grid=False, + charge_rate=0, limit_battery_charge_rate=-1) + if logic.calculation_parameters.peak_shaving.enabled: + settings = logic._apply_peak_shaving(settings, calc_input, timestamp) + settings = logic._apply_solar_limit(settings, calc_input, timestamp) + limit_w = settings.limit_battery_charge_rate + + time_w, price_w, floor_w, solar_cap_w = _rule_values( + scenario, logic, calc_input, timestamp, stored_wh, common) + + surplus_w = max(0.0, scenario.pv_w[i] - scenario.consumption_w[i]) + allowed_w = surplus_w if limit_w < 0 else min(surplus_w, float(limit_w)) + charge_wh_slot = min(allowed_w * interval_h, free_wh) + charge_w = charge_wh_slot / interval_h + + to_grid_w = surplus_w - charge_w + curtailed_w = max(0.0, to_grid_w - scenario.feed_in_limit_w) + exported_w = to_grid_w - curtailed_w + + stored_wh += charge_wh_slot + charged_wh += charge_wh_slot + exported_wh += exported_w * interval_h + curtailed_wh += curtailed_w * interval_h + + soc_pct = stored_wh / scenario.max_capacity_wh * 100.0 + if not full_at and soc_pct >= 99.9: + full_at = scenario.times[i] + + rows.append({ + 'time': scenario.times[i], + 'hour': round(float(scenario.hours[i]), 3), + 'pv_w': round(float(scenario.pv_w[i]), 1), + 'surplus_w': round(surplus_w, 1), + 'price': round(float(scenario.price[i]), 4), + 'limit_w': '' if limit_w < 0 else int(limit_w), + 'charge_w': round(charge_w, 1), + 'to_grid_w': round(to_grid_w, 1), + 'curtailed_w': round(curtailed_w, 1), + 'soc_pct': round(soc_pct, 2), + 'soc_baseline_pct': ('' if baseline_soc is None + else round(baseline_soc[i], 2)), + 'rule_time_w': '' if time_w < 0 else int(time_w), + 'rule_price_w': '' if price_w < 0 else int(price_w), + 'rule_floor_w': int(floor_w) if floor_w else '', + 'rule_solar_cap_w': '' if solar_cap_w < 0 else int(solar_cap_w), + }) + + summary = { + 'end_soc_pct': round(stored_wh / scenario.max_capacity_wh * 100.0, 1), + 'charged_kwh': round(charged_wh / 1000.0, 2), + 'exported_kwh': round(exported_wh / 1000.0, 2), + 'curtailed_kwh': round(curtailed_wh / 1000.0, 2), + 'full_at': full_at or '-', + } + return rows, summary + + +def write_csv(path, rows, columns): + """Write rows to a CSV file with a stable column order.""" + with open(path, 'w', newline='', encoding='utf-8') as handle: + writer = csv.DictWriter(handle, fieldnames=columns) + writer.writeheader() + writer.writerows(rows) + + +def main(): + """Generate all scenario CSVs from the committed input files.""" + parser = argparse.ArgumentParser( + description='Generate the peak shaving scenario datasets.') + parser.add_argument('--day', default=DEFAULT_DAY, + help='input CSV with the example day time series') + parser.add_argument('--params', default=DEFAULT_PARAMS, + help='input YAML with battery and rule parameters') + parser.add_argument('--out', default=DEFAULT_OUT, + help='output directory for the generated CSV files') + args = parser.parse_args() + + scenario = Scenario(args.day, args.params) + out_dir = os.path.abspath(args.out) + os.makedirs(out_dir, exist_ok=True) + + print(f"Input : {os.path.relpath(args.day)} " + f"({scenario.slots} slots, {scenario.interval_minutes} min)") + print(f" {os.path.relpath(args.params)}") + print(f"Output: {out_dir}\n") + + # Baseline first: its SoC curve is the reference line in every chart. + baseline_config = scenario.configurations[0] + baseline_rows, baseline_summary = simulate(scenario, baseline_config) + baseline_soc = [row['soc_pct'] for row in baseline_rows] + + summaries = [] + for config in scenario.configurations: + if config is baseline_config: + rows, summary = baseline_rows, baseline_summary + for row in rows: + row['soc_baseline_pct'] = row['soc_pct'] + else: + rows, summary = simulate(scenario, config, baseline_soc=baseline_soc) + + write_csv(os.path.join(out_dir, f"{config['name']}.csv"), rows, + CSV_COLUMNS) + + summaries.append({ + 'config': config['name'], + 'label': config['label'], + 'time_active': int(bool(config['time_active'])), + 'price_active': int(bool(config['price_active'])), + 'solar_cap_active': int(bool(config['solar_cap_active'])), + **summary, + }) + print(f" {config['label']:<26} end SoC {summary['end_soc_pct']:>5.1f} % " + f"charged {summary['charged_kwh']:>5.2f} kWh " + f"curtailed {summary['curtailed_kwh']:>4.2f} kWh " + f"full at {summary['full_at']}") + + write_csv(os.path.join(out_dir, 'summary.csv'), summaries, + list(summaries[0].keys())) + + print(f"\nWrote {len(scenario.configurations) + 1} CSV files.") + + +if __name__ == '__main__': + main() diff --git a/scripts/verify_pv_surplus_charge_limit.py b/scripts/verify_pv_surplus_charge_limit.py new file mode 100644 index 00000000..0edba902 --- /dev/null +++ b/scripts/verify_pv_surplus_charge_limit.py @@ -0,0 +1,293 @@ +#!/usr/bin/env python3 +""" +Verification script for PV surplus -> charge limit conversion (solar_cap rule). + +The solar feed-in limit rule has to bridge two different units: + + * the forecast arrays hold ENERGY per slot (Wh), and + * both the configured feed-in limit and the resulting battery charge + limit are POWER values (W). + +This script walks through that conversion step by step so the arithmetic can +be checked by hand. It uses the production implementation from +``src/batcontrol/logic/solar_limit.py`` -- every printed number is produced +by the real code, not re-implemented here. + +The conversion happens at exactly two points: + + feed_allow_wh = feed_in_limit_w * slot_h # entry: W limit -> Wh budget + clip_wh = surplus_wh - feed_allow_wh # comparison purely in Wh + floor_w = clip_wh[0] / slot0_hours # exit: Wh -> W charge limit + +Everything in between stays in the Wh domain. + +Reference scenario: feed-in limit 4000 W, PV peak 5000 W, house load 400 W. +The expected floor is the difference at the grid connection point: +(5000 - 400) - 4000 = 600 W. + +Usage: + python scripts/verify_pv_surplus_charge_limit.py + +See docs/features/peak-shaving.md and +docs/development/solar-limit-evaluation.md for the algorithm description. +""" +import sys +import os +import numpy as np + +# Add the src directory to Python path +sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) + +# pylint: disable=wrong-import-position +from batcontrol.logic.solar_limit import compute_solar_limit, merge_limits + +FEED_IN_LIMIT_W = 4000.0 +HOUSE_LOAD_W = 400.0 +MAX_CAPACITY_WH = 10000.0 + +# Production power per slot in W. A trailing zero terminates the production +# window (same convention as the production code). +PEAK_PROFILE_W = [5000, 5200, 5000, 4600, 4000, 3200, 0] + +SEPARATOR = "=" * 92 + + +def print_slot_table(production_w, interval_h, slot0_h, headroom=1.0): + """Print the per-slot Wh arithmetic and return the (prod, cons) Wh arrays. + + Mirrors the internal steps of compute_solar_limit so the intermediate + Wh values become visible. The returned arrays are what core.py would + hand to the logic layer. + """ + slot_h = np.full(len(production_w), interval_h, dtype=float) + slot_h[0] = slot0_h + + production_wh = np.array(production_w, dtype=float) * slot_h + consumption_wh = np.full(len(production_w), HOUSE_LOAD_W) * slot_h + + surplus_wh = np.clip(production_wh - consumption_wh, 0, None) + feed_allow_wh = FEED_IN_LIMIT_W * slot_h + clip_wh = np.clip(surplus_wh * headroom - feed_allow_wh, 0, None) + + print(f" {'slot':>4} {'P[W]':>7} {'h':>6} {'P[Wh]':>8} {'surplus[Wh]':>12} " + f"{'surplus[W]':>11} {'allowed[Wh]':>12} {'clip[Wh]':>9} {'clip[W]':>8}") + for i, power_w in enumerate(production_w): + clip_w = clip_wh[i] / slot_h[i] + surplus_w = surplus_wh[i] / slot_h[i] + print(f" {i:>4} {power_w:>7.0f} {slot_h[i]:>6.3f} " + f"{production_wh[i]:>8.1f} {surplus_wh[i]:>12.1f} {surplus_w:>11.0f} " + f"{feed_allow_wh[i]:>12.1f} {clip_wh[i]:>9.1f} {clip_w:>8.0f}") + + return production_wh, consumption_wh + + +# pylint: disable=too-many-arguments,too-many-positional-arguments +def run_case(title, production_w, interval_h, slot0_h, free_capacity_wh, + headroom=1.0, note=None): + """Print one scenario: slot table plus the resulting floor/cap.""" + print(f"\n{SEPARATOR}\n{title}\n{SEPARATOR}") + if note: + print(f" {note}\n") + + production_wh, consumption_wh = print_slot_table( + production_w, interval_h, slot0_h, headroom) + + floor_w, cap_w = compute_solar_limit( + production_wh, consumption_wh, FEED_IN_LIMIT_W, interval_h, + free_capacity_wh, MAX_CAPACITY_WH, + headroom=headroom, slot0_hours=slot0_h) + + print(f"\n free_capacity = {free_capacity_wh:.0f} Wh, headroom = {headroom}") + print(f" -> FLOOR = {floor_w} W CAP = " + f"{cap_w if cap_w >= 0 else 'off (-1)'} W") + return floor_w, cap_w + + +def case_inside_clip_window(): + """Standing in the clip slot at a slot boundary -- the base case.""" + floor_w, _ = run_case( + "CASE B1 -- 15 min, inside the clip slot, exactly at 12:00:00", + PEAK_PROFILE_W, 0.25, 0.25, 3000.0, + note="Detection: 1150 Wh surplus > 1000 Wh feed-in budget -> clipping.") + + surplus_w = PEAK_PROFILE_W[0] - HOUSE_LOAD_W + print("\n Cross-check in the power domain:") + print(f" surplus {surplus_w:.0f} W - feed-in limit " + f"{FEED_IN_LIMIT_W:.0f} W = {surplus_w - FEED_IN_LIMIT_W:.0f} W") + print(f" floor from the Wh calculation = {floor_w} W") + assert floor_w == int(surplus_w - FEED_IN_LIMIT_W), "floor must equal the power difference" + print(" match -> the floor is exactly the excess over the feed-in limit") + + +def case_partial_slot(): + """Mid-slot: both sides of the subtraction shrink, the floor does not.""" + print(f"\n{SEPARATOR}\nCASE B2 -- 15 min at 12:07:30 (half of slot 0 has " + f"already elapsed)\n{SEPARATOR}") + print(" core.py factorizes slot 0 by (1 - elapsed) BEFORE the logic sees it,\n" + " and slot0_hours shrinks to the remaining 7.5 min = 0.125 h.\n") + + elapsed = 0.5 + slot0_h = 0.25 * (1.0 - elapsed) + + production_wh = np.array(PEAK_PROFILE_W, dtype=float) * 0.25 + consumption_wh = np.full(len(PEAK_PROFILE_W), HOUSE_LOAD_W) * 0.25 + production_wh[0] *= (1.0 - elapsed) + consumption_wh[0] *= (1.0 - elapsed) + + surplus_wh = production_wh[0] - consumption_wh[0] + allowed_wh = FEED_IN_LIMIT_W * slot0_h + clip_wh = surplus_wh - allowed_wh + + print(f" slot 0 production : {production_wh[0]:>7.1f} Wh (was 1250.0 Wh)") + print(f" slot 0 consumption : {consumption_wh[0]:>7.1f} Wh (was 100.0 Wh)") + print(f" slot 0 surplus : {surplus_wh:>7.1f} Wh (was 1150.0 Wh)") + print(f" feed-in allowance : {allowed_wh:>7.1f} Wh " + f"(4000 W * {slot0_h} h, was 1000.0 Wh)") + print(f" clip : {clip_wh:>7.1f} Wh (was 150.0 Wh)") + print(f" floor : {clip_wh:.1f} Wh / {slot0_h} h = " + f"{clip_wh / slot0_h:.0f} W") + + floor_w, cap_w = compute_solar_limit( + production_wh, consumption_wh, FEED_IN_LIMIT_W, 0.25, 3000.0, + MAX_CAPACITY_WH, slot0_hours=slot0_h) + print(f"\n -> FLOOR = {floor_w} W CAP = {cap_w} W") + print(" Every Wh value halved, but the floor is unchanged at 600 W:\n" + " surplus and allowance both scale with slot_h, so the quotient is\n" + " invariant against the position inside the slot.") + assert floor_w == 600, "floor must be invariant against slot position" + + +def case_scarce_capacity(): + """With little free capacity the cap collapses onto the floor.""" + floor_w, cap_w = run_case( + "CASE B3 -- 15 min, scarce free capacity (400 Wh)", + PEAK_PROFILE_W, 0.25, 0.25, 400.0, + note="Total clip energy 550 Wh exceeds the free capacity.") + print(" Cap equals floor: the battery absorbs ONLY otherwise-curtailed\n" + " energy, exportable surplus goes to the grid instead.") + assert floor_w == cap_w, "cap must collapse onto the floor" + + +def case_headroom(): + """Headroom inflates the forecast surplus before the clip is computed.""" + floor_w, _ = run_case( + "CASE B4 -- 15 min, headroom 1.1 (forecast underestimates peaks)", + PEAK_PROFILE_W, 0.25, 0.25, 3000.0, headroom=1.1) + surplus_w = (5000 - HOUSE_LOAD_W) * 1.1 + print(f"\n Cross-check: {surplus_w:.0f} W * headroom - " + f"{FEED_IN_LIMIT_W:.0f} W = {surplus_w - FEED_IN_LIMIT_W:.0f} W " + f"-> floor {floor_w} W") + + +def case_before_clip_window(): + """Clip window still ahead -> reservation cap, no floor.""" + profile = [3000, 3000, 3000, 3000] + PEAK_PROFILE_W[:6] + [0] + floor_w, cap_w = run_case( + "CASE A -- 15 min, clip window starts in slot 4 -> reservation cap", + profile, 0.25, 0.25, 3000.0, + note="No clipping yet, so no floor; instead the battery is throttled\n" + " so the predicted clip energy still fits later on.") + print(f" free 3000 Wh - clip 550 Wh = 2450 Wh allowed over 1.0 h " + f"-> {cap_w} W") + print(" Charging at that rate for one hour leaves exactly 550 Wh free.") + assert floor_w == 0, "no floor expected before the clip window" + + +def _power_at(hours): + """Piecewise-linear PV power curve in W, argument in hours from now.""" + control_h = [0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5] + control_w = [4600, 5000, 5200, 5000, 4600, 4000, 3200, 2200, 1000, 0] + return np.interp(hours, control_h, control_w) + + +def _sample_curve(interval_h, n_slots): + """Average the power curve over each slot and return energy per slot (Wh).""" + energies = [] + for i in range(n_slots): + start = i * interval_h + samples = np.linspace(start, start + interval_h, 61) + energies.append(float(np.mean(_power_at(samples))) * interval_h) + return np.array(energies) + + +def case_resolution_comparison(): + """Same physical PV curve, sampled at 15 and 60 minutes. + + This is NOT a claim that both resolutions must return the same number. + Slot 0 means a different stretch of wall-clock time in each case, so the + averaged power -- and therefore the floor -- legitimately differs. The + point is to show HOW MUCH resolution matters for a sharp midday peak. + """ + print(f"\n{SEPARATOR}\nRESOLUTION -- one physical PV curve, sampled at 15 " + f"vs 60 minutes\n{SEPARATOR}") + print(" Slot 0 covers a different stretch of wall-clock time in each\n" + " case, so the averaged power differs. Coarser slots smear a sharp\n" + " peak, which changes the detected clip.\n") + + for interval_h, n_slots, label in ((0.25, 18, "15 min"), (1.0, 5, "60 min")): + production_wh = _sample_curve(interval_h, n_slots) + consumption_wh = np.full(n_slots, HOUSE_LOAD_W * interval_h) + floor_w, cap_w = compute_solar_limit( + production_wh, consumption_wh, FEED_IN_LIMIT_W, interval_h, + 3000.0, MAX_CAPACITY_WH, slot0_hours=interval_h) + + slot0_power = production_wh[0] / interval_h + total_clip = float(np.sum(np.clip( + production_wh - consumption_wh - FEED_IN_LIMIT_W * interval_h, + 0, None))) + print(f" {label}: slot 0 avg power = {slot0_power:>6.0f} W, " + f"FLOOR = {floor_w:>4} W, CAP = {cap_w:>5} W, " + f"total clip = {total_clip:>6.0f} Wh") + + print("\n The 60-min average over the first hour sits higher than the\n" + " first quarter alone (the curve is still rising), so the coarse\n" + " grid reports a larger slot-0 clip here. On a peak centred inside\n" + " the hour the averaging works the other way and hides clipping.\n" + " 15-min resolution tracks the real curve more closely.") + + +def case_merge(): + """How the floor interacts with the other peak shaving caps.""" + print(f"\n{SEPARATOR}\nMERGE -- floor vs the competing peak shaving caps" + f"\n{SEPARATOR}") + print(" final = max(floor, min(caps))\n") + print(" time rule wants 500 W, solar floor 600 W, solar cap 2233 W:") + print(f" merge_limits(600, [500, 2233]) = {merge_limits(600, [500, 2233])} W" + f" <- floor wins, no curtailment") + print(" time rule wants 3000 W:") + print(f" merge_limits(600, [3000, 2233]) = {merge_limits(600, [3000, 2233])} W" + f" <- strictest cap wins") + print(" no cap active at all:") + print(f" merge_limits(600, [None, -1]) = {merge_limits(600, [None, -1])} W" + f" <- unlimited already satisfies the floor") + + +def main(): + """Run all scenarios.""" + print(SEPARATOR) + print("PV surplus -> charge limit verification (solar_cap rule)") + print(SEPARATOR) + slot0_w = PEAK_PROFILE_W[0] + print(f" feed-in limit : {FEED_IN_LIMIT_W:.0f} W") + print(f" PV in slot 0 : {slot0_w:.0f} W " + f"(profile peaks at {max(PEAK_PROFILE_W):.0f} W in slot 1)") + print(f" house load : {HOUSE_LOAD_W:.0f} W") + print(f" expected floor : ({slot0_w:.0f} - {HOUSE_LOAD_W:.0f}) - " + f"{FEED_IN_LIMIT_W:.0f} = " + f"{slot0_w - HOUSE_LOAD_W - FEED_IN_LIMIT_W:.0f} W") + + case_inside_clip_window() + case_partial_slot() + case_scarce_capacity() + case_headroom() + case_before_clip_window() + case_resolution_comparison() + case_merge() + + print(f"\n{SEPARATOR}") + print("[done] All cross-checks passed.") + print(SEPARATOR) + + +if __name__ == '__main__': + main() diff --git a/src/batcontrol/logic/next.py b/src/batcontrol/logic/next.py index 263544f8..fe10dff5 100644 --- a/src/batcontrol/logic/next.py +++ b/src/batcontrol/logic/next.py @@ -469,6 +469,11 @@ def _calculate_peak_shaving_charge_limit_price_based( prices = calc_input.prices interval_hours = self.interval_minutes / 60.0 + # Note: production/consumption are already Wh energy per slot (see + # forecastsolar/baseclass.py), not average power -- surplus sums + # below must NOT be scaled by interval_hours again. interval_hours + # is only needed to convert a Wh/slot rate back to an average W. + # Limit cheap-slot search to the production window. # The production window ends at the first slot with zero production; # beyond that there is no PV generation and no need to reserve capacity. @@ -493,7 +498,7 @@ def _calculate_peak_shaving_charge_limit_price_based( surplus = (float(calc_input.production[i]) - float(calc_input.consumption[i])) if surplus > 0: - total_cheap_surplus_wh += surplus * interval_hours + total_cheap_surplus_wh += surplus if total_cheap_surplus_wh <= calc_input.free_capacity: return -1 # Battery can absorb everything, no limit needed @@ -514,7 +519,7 @@ def _calculate_peak_shaving_charge_limit_price_based( if i < len(calc_input.production) and i < len(calc_input.consumption): surplus = float(calc_input.production[i]) - float(calc_input.consumption[i]) if surplus > 0: - total_cheap_surplus_wh += surplus * interval_hours + total_cheap_surplus_wh += surplus if total_cheap_surplus_wh <= 0: return -1 # No PV surplus expected during cheap slots @@ -580,14 +585,17 @@ def _calculate_peak_shaving_charge_limit(self, calc_input: CalculationInput, if slots_remaining <= 0: return -1 - # Calculate PV surplus per slot (only count positive surplus) + # Calculate PV surplus per slot (only count positive surplus). + # production/consumption are already Wh energy per slot (see + # forecastsolar/baseclass.py), not average power, so no further + # interval_hours scaling is needed to sum them into an energy total. pv_surplus = (calc_input.production[:slots_remaining] - calc_input.consumption[:slots_remaining]) pv_surplus = np.clip(pv_surplus, 0, None) # Only positive surplus counts # Sum expected PV surplus energy (Wh) over remaining slots interval_hours = self.interval_minutes / 60.0 - expected_surplus_wh = float(np.sum(pv_surplus)) * interval_hours + expected_surplus_wh = float(np.sum(pv_surplus)) free_capacity = calc_input.free_capacity diff --git a/tests/batcontrol/logic/test_peak_shaving.py b/tests/batcontrol/logic/test_peak_shaving.py index f8a45204..d39da22b 100644 --- a/tests/batcontrol/logic/test_peak_shaving.py +++ b/tests/batcontrol/logic/test_peak_shaving.py @@ -170,16 +170,20 @@ def test_consumption_reduces_surplus(self): self.assertEqual(limit, 111) def test_15min_intervals(self): - """Test counter-linear ramp with 15-minute intervals.""" + """Test counter-linear ramp with 15-minute intervals. + + production/consumption are Wh ENERGY per slot (already scaled to + the 15-min slot length by the forecast providers), not average + power -- see forecastsolar/baseclass.py. They must not be + multiplied by interval_hours again when summed. + """ logic_15 = NextLogic(timezone=datetime.timezone.utc, interval_minutes=15) logic_15.set_calculation_parameters(self.params) # Target 14:00, current 13:00 -> 4 slots of 15 min - # surplus = 4000 W per slot, interval_hours = 0.25 - # surplus Wh per slot = 4000 * 0.25 = 1000 Wh - # total surplus = 4 * 1000 = 4000 Wh - # free_capacity = 1000 Wh -> surplus > free + # surplus = 4000 Wh per slot (already energy, no *0.25 needed) + # total surplus = 4 * 4000 = 16000 Wh > free_capacity = 1000 Wh # counter-linear ramp (n=4, ih=0.25): # wh_current = 2*1000/(4*5) = 100 Wh # charge_rate = 100 / 0.25 = 400 W @@ -194,6 +198,38 @@ def test_15min_intervals(self): calc_input, ts) self.assertEqual(limit, 400) + def test_15min_intervals_surplus_unit_regression(self): + """Regression: 15-min surplus energy must not be scaled by + interval_hours a second time. + + production/consumption values are Wh per 15-min slot already. + With the double-scaling bug, a 4-slot window summed to only + 1/4 of the real surplus, so a genuinely capacity-exceeding + surplus (3200 Wh) was seen as only 800 Wh -- at or under the + 1000 Wh free capacity -- and the function incorrectly skipped + the cap (-1) instead of applying the counter-linear ramp. + """ + logic_15 = NextLogic(timezone=datetime.timezone.utc, + interval_minutes=15) + logic_15.set_calculation_parameters(self.params) + + # Target 14:00, current 13:00 -> 4 slots of 15 min. + # surplus = 800 Wh per slot (already energy) -> total = 3200 Wh. + # free_capacity = 1000 Wh -> surplus (3200) > free (1000): + # the cap MUST be applied. + # counter-linear ramp: wh_current = 2*1000/(4*5) = 100 Wh + # charge_rate = 100 / 0.25 = 400 W + production = [800] * 4 + consumption = [0] * 4 + calc_input = self._make_input(production, consumption, + stored_energy=9000, + free_capacity=1000) + ts = datetime.datetime(2025, 6, 20, 13, 0, 0, + tzinfo=datetime.timezone.utc) + limit = logic_15._calculate_peak_shaving_charge_limit( + calc_input, ts) + self.assertEqual(limit, 400) + class TestPeakShavingDecision(unittest.TestCase): """Tests for _apply_peak_shaving decision logic.""" @@ -802,6 +838,45 @@ def test_cheap_slot_within_production_window_still_triggers_reserve(self): self.assertGreater(result, 0, "Cheap slot inside production window must still trigger a limit") + def test_15min_currently_in_cheap_slot_surplus_unit_regression(self): + """Regression: at 15-min resolution, cheap-window surplus must not be + scaled by interval_hours a second time (production/consumption are + already Wh energy per slot). + + cheap slots [0, 1], 600 Wh surplus each (real total 1200 Wh) > + free_capacity 1000 Wh -> a cap MUST be applied. With the + double-scaling bug the surplus was seen as only 300 Wh (<= free), + so the function incorrectly returned -1 (no cap). + """ + logic_15 = NextLogic(timezone=datetime.timezone.utc, interval_minutes=15) + logic_15.set_calculation_parameters(self.params) + prices = [0, 0, 10, 10] + production = [600, 600, 500, 500] + calc_input = self._make_input(production, prices, free_capacity=1000) + result = logic_15._calculate_peak_shaving_charge_limit_price_based(calc_input) + # charge_rate = free_capacity / len(cheap_slots) / interval_hours + # = 1000 / 2 / 0.25 = 2000 W + self.assertEqual(result, 2000) + + def test_15min_before_cheap_window_reserve_unit_regression(self): + """Regression: the pre-cheap-window reserve must use the real (not + interval_hours-scaled) surplus energy, otherwise it under-reserves + capacity and lets too much PV through before the cheap window. + + cheap slots [2, 3], 600 Wh surplus each (real total 1200 Wh). + free_capacity = 1500 Wh -> additional_allowed = 1500 - 1200 = 300 Wh, + spread over 2 pre-window slots -> 150 Wh/slot -> 600 W. + With the double-scaling bug the reserve was seen as only 300 Wh, + giving additional_allowed = 1200 Wh -> 2400 W (4x too loose). + """ + logic_15 = NextLogic(timezone=datetime.timezone.utc, interval_minutes=15) + logic_15.set_calculation_parameters(self.params) + prices = [10, 10, 0, 0] + production = [300, 300, 600, 600] + calc_input = self._make_input(production, prices, free_capacity=1500) + result = logic_15._calculate_peak_shaving_charge_limit_price_based(calc_input) + self.assertEqual(result, 600) + class TestPeakShavingMinChargeRate(unittest.TestCase): """Tests for the minimum charge rate enforcement in _apply_peak_shaving.