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<!DOCTYPE html>
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<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>ABC Electrical — Site Watch (powered by WattHound)</title>
<meta name="description" content="ABC Electrical site monitoring dashboard — demo, illustrative sample data. Powered by WattHound.">
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) 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) 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) format("woff2");}
/* ============================================================
ABC Electrical · Site Watch v2 — chart internals & instrument
styling. Tailwind carries layout/components; this file styles
the hand-rolled SVG charts + a few things utilities can't reach.
============================================================ */
:root{
/* palette echoed for the SVG builders that emit var() strings */
--paper:#F6F5F2; --card:#FFFEFB; --surface2:#F2EFE9;
--ink:#1B201E; --muted:#666D6A; --muted-2:#7E847F;
--line:#E6E3DC; --line-soft:#ECE8DF;
--teal:#0D7A63; --teal-ink:#0A6653; --teal-text:#0A6653;
--green-ink:#157A54; --red-ink:#C02A24;
/* three-phase series — modern NZ/IEC wiring colours (L1 brown, L2 black, L3 grey); colour never the sole signal */
--series-1:#8B5A2B; --series-2:#1F1F1F; --series-3:#7D7D7D;
--series-1-text:#6F4522; --series-2-text:#1A1A1A; --series-3-text:#5F5F5F;
}
/* base type: Inter body, mono numerics (Tailwind font-mono handles most,
but chart text nodes are styled here) */
.mono{font-family:"IBM Plex Mono",ui-monospace,monospace;font-variant-numeric:tabular-nums}
/* focus visibility (WCAG 2.2 — visible focus, non-colour cue) */
:focus-visible{outline:2px solid var(--teal-ink);outline-offset:3px;border-radius:8px}
.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0 0 0 0);white-space:nowrap;border:0}
/* view transition */
.viewfade{animation:vf .3s ease both}
@keyframes vf{from{opacity:0;transform:translateY(8px)}to{opacity:1;transform:none}}
/* ---------- traffic light (dark instrument on warm paper) ---------- */
.tl .lamp{opacity:.14;transition:opacity .2s ease}
.tl .lamp.on{opacity:1}
.tl .tl-red.on{filter:drop-shadow(0 0 5px rgba(226,59,52,.85))}
.tl .tl-amber.on{filter:drop-shadow(0 0 5px rgba(245,158,11,.85))}
.tl .tl-green.on{filter:drop-shadow(0 0 5px rgba(31,158,112,.85))}
/* ---------- shared line chart (comparison) ---------- */
svg.chart{display:block;width:100%;height:auto}
svg.chart .plot{fill:var(--surface2)}
svg.chart .grid{stroke:var(--line-soft);stroke-width:1}
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svg.chart .axis{fill:var(--muted);font-family:"IBM Plex Mono",monospace;font-size:11px}
svg.chart .axis.y{text-anchor:end}
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svg.chart .axtitle{fill:var(--muted);font-family:Inter,sans-serif;font-size:11.5px;text-anchor:middle;letter-spacing:.02em}
svg.chart .band{fill:rgba(31,158,112,.12)}
svg.chart .band-line{stroke:rgba(21,122,84,.5);stroke-width:1;stroke-dasharray:2 3}
svg.chart .bandlbl{fill:var(--green-ink);font-family:"IBM Plex Mono",monospace;font-size:10.5px;text-anchor:end}
svg.chart .cross{stroke:var(--muted-2);stroke-width:1;stroke-dasharray:3 3;opacity:0}
svg.chart .cdot{opacity:0}
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svg.bars .plot{fill:var(--surface2)}
svg.bars .grid{stroke:var(--line-soft);stroke-width:1}
svg.bars .axis{fill:var(--muted);font-family:"IBM Plex Mono",monospace;font-size:11px}
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svg.bars .axis.x{text-anchor:middle}
svg.bars .axtitle{fill:var(--muted);font-family:Inter,sans-serif;font-size:11.5px;text-anchor:middle;letter-spacing:.02em}
svg.bars .bar{transition:opacity .15s ease}
svg.bars:hover .bar{opacity:.55}
svg.bars .bar:hover{opacity:1}
svg.bars .refline{stroke:var(--muted-2);stroke-width:1.3;stroke-dasharray:5 4}
svg.bars .reflbl{fill:var(--muted);font-family:"IBM Plex Mono",monospace;font-size:10.5px;text-anchor:end}
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svg.sankey{display:block;width:100%;height:auto}
svg.sankey .snode{stroke:rgba(27,32,30,.10);stroke-width:1}
svg.sankey .slink{transition:opacity .15s ease}
svg.sankey:hover .slink{opacity:.55}
svg.sankey .slink:hover{opacity:1}
svg.sankey .sname{fill:var(--ink);font-family:Inter,sans-serif;font-size:12.5px}
svg.sankey .skwh{fill:var(--muted);font-family:"IBM Plex Mono",monospace;font-size:11px}
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svg.sankey .sinc{fill:var(--muted);font-family:"IBM Plex Mono",monospace;font-size:11px;text-anchor:end}
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svg.phase{display:block;width:100%;height:auto}
svg.phase .grid{stroke:var(--line-soft);stroke-width:1}
svg.phase .axis{fill:var(--muted);font-family:"IBM Plex Mono",monospace}
svg.phase .axis.y{font-size:7px;text-anchor:end}
svg.phase .axis.x{font-size:7px;text-anchor:middle}
svg.phase .phase-end{font-family:Inter,sans-serif;font-size:8.5px;font-weight:700;text-anchor:start}
svg.phase .cross{stroke:var(--muted-2);stroke-width:1;stroke-dasharray:3 3;opacity:0}
svg.phase .phase-hit{cursor:crosshair}
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svg.gauge .gv{fill:var(--ink);font-family:"IBM Plex Mono",monospace;font-variant-numeric:tabular-nums;font-weight:700;font-size:26px}
svg.gauge .gd{fill:var(--muted);font-family:Inter,sans-serif;font-size:10px;letter-spacing:.14em}
/* ---------- crosshair tooltip (dark instrument card) ---------- */
.tip{position:absolute;pointer-events:none;opacity:0;transform:translate(-50%,-115%);
background:var(--ink);border:1px solid #33403A;border-radius:8px;padding:8px 10px;color:#F3F1EB;
font-family:"IBM Plex Mono",monospace;font-size:11.5px;white-space:nowrap;
box-shadow:0 10px 24px -12px rgba(27,32,30,.5);z-index:5;transition:opacity .1s ease}
.tip .t{color:#B7B2A6;margin-bottom:4px}
.tip .r{display:flex;align-items:center;gap:7px}
.tip .r i{width:14px;height:0;border-top-width:3px;border-top-style:solid;display:inline-block;border-radius:2px}
/* prose helpers inside injected detail HTML */
.deviation p{margin:0 0 10px;font-size:14.5px;color:#3A423E;line-height:1.62}
.deviation p:last-child{margin-bottom:0}
.deviation b{color:var(--ink)}
.legend{display:flex;flex-wrap:wrap;gap:8px 18px;font-size:12.5px;color:var(--muted)}
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.legend .sw{width:20px;height:0;border-top-width:3px;border-top-style:solid;display:inline-block;border-radius:2px}
.legend .sw.band{height:12px;width:16px;border:1px solid rgba(21,122,84,.5);background:rgba(31,158,112,.16);border-radius:3px}
.swatch-legend{display:flex;flex-wrap:wrap;gap:8px 18px;font-size:12.5px;color:var(--muted)}
.swatch-legend .li{display:inline-flex;align-items:center;gap:8px}
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[x-cloak]{display:none!important}
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Jt(t[T.FIELDS.START_LINE],t[T.FIELDS.START_COL],e[T.FIELDS.END_LINE],e[T.FIELDS.END_COL])}function hr(t,e){var r=t[e];if(typeof r=="string")return r.indexOf("\\")!==-1&&((0,ue.ensureObject)(t,"raws"),t[e]=(0,ue.unesc)(r),t.raws[e]===void 0&&(t.raws[e]=r)),t}function No(t,e){for(var r=-1,i=[];(r=t.indexOf(e,r+1))!==-1;)i.push(r);return i}function wA(){var t=Array.prototype.concat.apply([],arguments);return t.filter(function(e,r){return r===t.indexOf(e)})}var vA=function(){function t(r,i){i===void 0&&(i={}),this.rule=r,this.options=Object.assign({lossy:!1,safe:!1},i),this.position=0,this.css=typeof this.rule=="string"?this.rule:this.rule.selector,this.tokens=(0,T.default)({css:this.css,error:this._errorGenerator(),safe:this.options.safe});var n=Mo(this.tokens[0],this.tokens[this.tokens.length-1]);this.root=new uA.default({source:n}),this.root.errorGenerator=this._errorGenerator();var s=new Io.default({source:{start:{line:1,column:1}},sourceIndex:0});this.root.append(s),this.current=s,this.loop()}var e=t.prototype;return e._errorGenerator=function(){var i=this;return function(n,s){return typeof i.rule=="string"?new Error(n):i.rule.error(n,s)}},e.attribute=function(){var i=[],n=this.currToken;for(this.position++;this.position<this.tokens.length&&this.currToken[T.FIELDS.TYPE]!==$.closeSquare;)i.push(this.currToken),this.position++;if(this.currToken[T.FIELDS.TYPE]!==$.closeSquare)return this.expected("closing square bracket",this.currToken[T.FIELDS.START_POS]);var s=i.length,a={source:Jt(n[1],n[2],this.currToken[3],this.currToken[4]),sourceIndex:n[T.FIELDS.START_POS]};if(s===1&&!~[$.word].indexOf(i[0][T.FIELDS.TYPE]))return this.expected("attribute",i[0][T.FIELDS.START_POS]);for(var o=0,l="",c="",f=null,d=!1;o<s;){var p=i[o],m=this.content(p),b=i[o+1];switch(p[T.FIELDS.TYPE]){case $.space:if(d=!0,this.options.lossy)break;if(f){(0,ue.ensureObject)(a,"spaces",f);var w=a.spaces[f].after||"";a.spaces[f].after=w+m;var y=(0,ue.getProp)(a,"raws","spaces",f,"after")||null;y&&(a.raws.spaces[f].after=y+m)}else l=l+m,c=c+m;break;case $.asterisk:if(b[T.FIELDS.TYPE]===$.equals)a.operator=m,f="operator";else if((!a.namespace||f==="namespace"&&!d)&&b){l&&((0,ue.ensureObject)(a,"spaces","attribute"),a.spaces.attribute.before=l,l=""),c&&((0,ue.ensureObject)(a,"raws","spaces","attribute"),a.raws.spaces.attribute.before=l,c=""),a.namespace=(a.namespace||"")+m;var x=(0,ue.getProp)(a,"raws","namespace")||null;x&&(a.raws.namespace+=m),f="namespace"}d=!1;break;case $.dollar:if(f==="value"){var k=(0,ue.getProp)(a,"raws","value");a.value+="$",k&&(a.raws.value=k+"$");break}case $.caret:b[T.FIELDS.TYPE]===$.equals&&(a.operator=m,f="operator"),d=!1;break;case $.combinator:if(m==="~"&&b[T.FIELDS.TYPE]===$.equals&&(a.operator=m,f="operator"),m!=="|"){d=!1;break}b[T.FIELDS.TYPE]===$.equals?(a.operator=m,f="operator"):!a.namespace&&!a.attribute&&(a.namespace=!0),d=!1;break;case $.word:if(b&&this.content(b)==="|"&&i[o+2]&&i[o+2][T.FIELDS.TYPE]!==$.equals&&!a.operator&&!a.namespace)a.namespace=m,f="namespace";else if(!a.attribute||f==="attribute"&&!d){l&&((0,ue.ensureObject)(a,"spaces","attribute"),a.spaces.attribute.before=l,l=""),c&&((0,ue.ensureObject)(a,"raws","spaces","attribute"),a.raws.spaces.attribute.before=c,c=""),a.attribute=(a.attribute||"")+m;var S=(0,ue.getProp)(a,"raws","attribute")||null;S&&(a.raws.attribute+=m),f="attribute"}else if(!a.value&&a.value!==""||f==="value"&&!(d||a.quoteMark)){var O=(0,ue.unesc)(m),R=(0,ue.getProp)(a,"raws","value")||"",B=a.value||"";a.value=B+O,a.quoteMark=null,(O!==m||R)&&((0,ue.ensureObject)(a,"raws"),a.raws.value=(R||B)+m),f="value"}else{var N=m==="i"||m==="I";(a.value||a.value==="")&&(a.quoteMark||d)?(a.insensitive=N,(!N||m==="I")&&((0,ue.ensureObject)(a,"raws"),a.raws.insensitiveFlag=m),f="insensitive",l&&((0,ue.ensureObject)(a,"spaces","insensitive"),a.spaces.insensitive.before=l,l=""),c&&((0,ue.ensureObject)(a,"raws","spaces","insensitive"),a.raws.spaces.insensitive.before=c,c="")):(a.value||a.value==="")&&(f="value",a.value+=m,a.raws.value&&(a.raws.value+=m))}d=!1;break;case $.str:if(!a.attribute||!a.operator)return this.error("Expected an attribute followed by an operator preceding the string.",{index:p[T.FIELDS.START_POS]});var P=(0,nh.unescapeValue)(m),F=P.unescaped,Q=P.quoteMark;a.value=F,a.quoteMark=Q,f="value",(0,ue.ensureObject)(a,"raws"),a.raws.value=m,d=!1;break;case $.equals:if(!a.attribute)return this.expected("attribute",p[T.FIELDS.START_POS],m);if(a.value)return this.error('Unexpected "=" found; an operator was already defined.',{index:p[T.FIELDS.START_POS]});a.operator=a.operator?a.operator+m:m,f="operator",d=!1;break;case $.comment:if(f)if(d||b&&b[T.FIELDS.TYPE]===$.space||f==="insensitive"){var E=(0,ue.getProp)(a,"spaces",f,"after")||"",Y=(0,ue.getProp)(a,"raws","spaces",f,"after")||E;(0,ue.ensureObject)(a,"raws","spaces",f),a.raws.spaces[f].after=Y+m}else{var U=a[f]||"",le=(0,ue.getProp)(a,"raws",f)||U;(0,ue.ensureObject)(a,"raws"),a.raws[f]=le+m}else c=c+m;break;default:return this.error('Unexpected "'+m+'" found.',{index:p[T.FIELDS.START_POS]})}o++}hr(a,"attribute"),hr(a,"namespace"),this.newNode(new nh.default(a)),this.position++},e.parseWhitespaceEquivalentTokens=function(i){i<0&&(i=this.tokens.length);var n=this.position,s=[],a="",o=void 0;do if(qo[this.currToken[T.FIELDS.TYPE]])this.options.lossy||(a+=this.content());else if(this.currToken[T.FIELDS.TYPE]===$.comment){var l={};a&&(l.before=a,a=""),o=new ih.default({value:this.content(),source:dr(this.currToken),sourceIndex:this.currToken[T.FIELDS.START_POS],spaces:l}),s.push(o)}while(++this.position<i);if(a){if(o)o.spaces.after=a;else if(!this.options.lossy){var c=this.tokens[n],f=this.tokens[this.position-1];s.push(new Do.default({value:"",source:Jt(c[T.FIELDS.START_LINE],c[T.FIELDS.START_COL],f[T.FIELDS.END_LINE],f[T.FIELDS.END_COL]),sourceIndex:c[T.FIELDS.START_POS],spaces:{before:a,after:""}}))}}return s},e.convertWhitespaceNodesToSpace=function(i,n){var s=this;n===void 0&&(n=!1);var a="",o="";i.forEach(function(c){var f=s.lossySpace(c.spaces.before,n),d=s.lossySpace(c.rawSpaceBefore,n);a+=f+s.lossySpace(c.spaces.after,n&&f.length===0),o+=f+c.value+s.lossySpace(c.rawSpaceAfter,n&&d.length===0)}),o===a&&(o=void 0);var l={space:a,rawSpace:o};return l},e.isNamedCombinator=function(i){return i===void 0&&(i=this.position),this.tokens[i+0]&&this.tokens[i+0][T.FIELDS.TYPE]===$.slash&&this.tokens[i+1]&&this.tokens[i+1][T.FIELDS.TYPE]===$.word&&this.tokens[i+2]&&this.tokens[i+2][T.FIELDS.TYPE]===$.slash},e.namedCombinator=function(){if(this.isNamedCombinator()){var i=this.content(this.tokens[this.position+1]),n=(0,ue.unesc)(i).toLowerCase(),s={};n!==i&&(s.value="/"+i+"/");var a=new $o.default({value:"/"+n+"/",source:Jt(this.currToken[T.FIELDS.START_LINE],this.currToken[T.FIELDS.START_COL],this.tokens[this.position+2][T.FIELDS.END_LINE],this.tokens[this.position+2][T.FIELDS.END_COL]),sourceIndex:this.currToken[T.FIELDS.START_POS],raws:s});return this.position=this.position+3,a}else this.unexpected()},e.combinator=function(){var i=this;if(this.content()==="|")return this.namespace();var n=this.locateNextMeaningfulToken(this.position);if(n<0||this.tokens[n][T.FIELDS.TYPE]===$.comma||this.tokens[n][T.FIELDS.TYPE]===$.closeParenthesis){var s=this.parseWhitespaceEquivalentTokens(n);if(s.length>0){var a=this.current.last;if(a){var o=this.convertWhitespaceNodesToSpace(s),l=o.space,c=o.rawSpace;c!==void 0&&(a.rawSpaceAfter+=c),a.spaces.after+=l}else s.forEach(function(R){return i.newNode(R)})}return}var f=this.currToken,d=void 0;n>this.position&&(d=this.parseWhitespaceEquivalentTokens(n));var p;if(this.isNamedCombinator()?p=this.namedCombinator():this.currToken[T.FIELDS.TYPE]===$.combinator?(p=new $o.default({value:this.content(),source:dr(this.currToken),sourceIndex:this.currToken[T.FIELDS.START_POS]}),this.position++):qo[this.currToken[T.FIELDS.TYPE]]||d||this.unexpected(),p){if(d){var m=this.convertWhitespaceNodesToSpace(d),b=m.space,w=m.rawSpace;p.spaces.before=b,p.rawSpaceBefore=w}}else{var y=this.convertWhitespaceNodesToSpace(d,!0),x=y.space,k=y.rawSpace;k||(k=x);var S={},O={spaces:{}};x.endsWith(" ")&&k.endsWith(" ")?(S.before=x.slice(0,x.length-1),O.spaces.before=k.slice(0,k.length-1)):x.startsWith(" ")&&k.startsWith(" ")?(S.after=x.slice(1),O.spaces.after=k.slice(1)):O.value=k,p=new $o.default({value:" ",source:Mo(f,this.tokens[this.position-1]),sourceIndex:f[T.FIELDS.START_POS],spaces:S,raws:O})}return this.currToken&&this.currToken[T.FIELDS.TYPE]===$.space&&(p.spaces.after=this.optionalSpace(this.content()),this.position++),this.newNode(p)},e.comma=function(){if(this.position===this.tokens.length-1){this.root.trailingComma=!0,this.position++;return}this.current._inferEndPosition();var i=new Io.default({source:{start:oh(this.tokens[this.position+1])},sourceIndex:this.tokens[this.position+1][T.FIELDS.START_POS]});this.current.parent.append(i),this.current=i,this.position++},e.comment=function(){var i=this.currToken;this.newNode(new ih.default({value:this.content(),source:dr(i),sourceIndex:i[T.FIELDS.START_POS]})),this.position++},e.error=function(i,n){throw this.root.error(i,n)},e.missingBackslash=function(){return this.error("Expected a backslash preceding the semicolon.",{index:this.currToken[T.FIELDS.START_POS]})},e.missingParenthesis=function(){return this.expected("opening parenthesis",this.currToken[T.FIELDS.START_POS])},e.missingSquareBracket=function(){return this.expected("opening square bracket",this.currToken[T.FIELDS.START_POS])},e.unexpected=function(){return this.error("Unexpected '"+this.content()+"'. Escaping special characters with \\ may help.",this.currToken[T.FIELDS.START_POS])},e.unexpectedPipe=function(){return this.error("Unexpected '|'.",this.currToken[T.FIELDS.START_POS])},e.namespace=function(){var i=this.prevToken&&this.content(this.prevToken)||!0;if(this.nextToken[T.FIELDS.TYPE]===$.word)return this.position++,this.word(i);if(this.nextToken[T.FIELDS.TYPE]===$.asterisk)return this.position++,this.universal(i);this.unexpectedPipe()},e.nesting=function(){if(this.nextToken){var i=this.content(this.nextToken);if(i==="|"){this.position++;return}}var n=this.currToken;this.newNode(new mA.default({value:this.content(),source:dr(n),sourceIndex:n[T.FIELDS.START_POS]})),this.position++},e.parentheses=function(){var i=this.current.last,n=1;if(this.position++,i&&i.type===yA.PSEUDO){var s=new Io.default({source:{start:oh(this.tokens[this.position])},sourceIndex:this.tokens[this.position][T.FIELDS.START_POS]}),a=this.current;for(i.append(s),this.current=s;this.position<this.tokens.length&&n;)this.currToken[T.FIELDS.TYPE]===$.openParenthesis&&n++,this.currToken[T.FIELDS.TYPE]===$.closeParenthesis&&n--,n?this.parse():(this.current.source.end=lh(this.currToken),this.current.parent.source.end=lh(this.currToken),this.position++);this.current=a}else{for(var o=this.currToken,l="(",c;this.position<this.tokens.length&&n;)this.currToken[T.FIELDS.TYPE]===$.openParenthesis&&n++,this.currToken[T.FIELDS.TYPE]===$.closeParenthesis&&n--,c=this.currToken,l+=this.parseParenthesisToken(this.currToken),this.position++;i?i.appendToPropertyAndEscape("value",l,l):this.newNode(new Do.default({value:l,source:Jt(o[T.FIELDS.START_LINE],o[T.FIELDS.START_COL],c[T.FIELDS.END_LINE],c[T.FIELDS.END_COL]),sourceIndex:o[T.FIELDS.START_POS]}))}if(n)return this.expected("closing parenthesis",this.currToken[T.FIELDS.START_POS])},e.pseudo=function(){for(var i=this,n="",s=this.currToken;this.currToken&&this.currToken[T.FIELDS.TYPE]===$.colon;)n+=this.content(),this.position++;if(!this.currToken)return this.expected(["pseudo-class","pseudo-element"],this.position-1);if(this.currToken[T.FIELDS.TYPE]===$.word)this.splitWord(!1,function(a,o){n+=a,i.newNode(new dA.default({value:n,source:Mo(s,i.currToken),sourceIndex:s[T.FIELDS.START_POS]})),o>1&&i.nextToken&&i.nextToken[T.FIELDS.TYPE]===$.openParenthesis&&i.error("Misplaced parenthesis.",{index:i.nextToken[T.FIELDS.START_POS]})});else return this.expected(["pseudo-class","pseudo-element"],this.currToken[T.FIELDS.START_POS])},e.space=function(){var i=this.content();this.position===0||this.prevToken[T.FIELDS.TYPE]===$.comma||this.prevToken[T.FIELDS.TYPE]===$.openParenthesis||this.current.nodes.every(function(n){return n.type==="comment"})?(this.spaces=this.optionalSpace(i),this.position++):this.position===this.tokens.length-1||this.nextToken[T.FIELDS.TYPE]===$.comma||this.nextToken[T.FIELDS.TYPE]===$.closeParenthesis?(this.current.last.spaces.after=this.optionalSpace(i),this.position++):this.combinator()},e.string=function(){var i=this.currToken;this.newNode(new Do.default({value:this.content(),source:dr(i),sourceIndex:i[T.FIELDS.START_POS]})),this.position++},e.universal=function(i){var n=this.nextToken;if(n&&this.content(n)==="|")return this.position++,this.namespace();var s=this.currToken;this.newNode(new hA.default({value:this.content(),source:dr(s),sourceIndex:s[T.FIELDS.START_POS]}),i),this.position++},e.splitWord=function(i,n){for(var s=this,a=this.nextToken,o=this.content();a&&~[$.dollar,$.caret,$.equals,$.word].indexOf(a[T.FIELDS.TYPE]);){this.position++;var l=this.content();if(o+=l,l.lastIndexOf("\\")===l.length-1){var c=this.nextToken;c&&c[T.FIELDS.TYPE]===$.space&&(o+=this.requiredSpace(this.content(c)),this.position++)}a=this.nextToken}var f=No(o,".").filter(function(b){var w=o[b-1]==="\\",y=/^\d+\.\d+%$/.test(o);return!w&&!y}),d=No(o,"#").filter(function(b){return o[b-1]!=="\\"}),p=No(o,"#{");p.length&&(d=d.filter(function(b){return!~p.indexOf(b)}));var m=(0,gA.default)(wA([0].concat(f,d)));m.forEach(function(b,w){var y=m[w+1]||o.length,x=o.slice(b,y);if(w===0&&n)return n.call(s,x,m.length);var k,S=s.currToken,O=S[T.FIELDS.START_POS]+m[w],R=Jt(S[1],S[2]+b,S[3],S[2]+(y-1));if(~f.indexOf(b)){var B={value:x.slice(1),source:R,sourceIndex:O};k=new fA.default(hr(B,"value"))}else if(~d.indexOf(b)){var N={value:x.slice(1),source:R,sourceIndex:O};k=new cA.default(hr(N,"value"))}else{var P={value:x,source:R,sourceIndex:O};hr(P,"value"),k=new pA.default(P)}s.newNode(k,i),i=null}),this.position++},e.word=function(i){var n=this.nextToken;return n&&this.content(n)==="|"?(this.position++,this.namespace()):this.splitWord(i)},e.loop=function(){for(;this.position<this.tokens.length;)this.parse(!0);return this.current._inferEndPosition(),this.root},e.parse=function(i){switch(this.currToken[T.FIELDS.TYPE]){case $.space:this.space();break;case $.comment:this.comment();break;case $.openParenthesis:this.parentheses();break;case $.closeParenthesis:i&&this.missingParenthesis();break;case $.openSquare:this.attribute();break;case $.dollar:case $.caret:case $.equals:case $.word:this.word();break;case $.colon:this.pseudo();break;case $.comma:this.comma();break;case $.asterisk:this.universal();break;case $.ampersand:this.nesting();break;case $.slash:case $.combinator:this.combinator();break;case $.str:this.string();break;case $.closeSquare:this.missingSquareBracket();case $.semicolon:this.missingBackslash();default:this.unexpected()}},e.expected=function(i,n,s){if(Array.isArray(i)){var a=i.pop();i=i.join(", ")+" or "+a}var o=/^[aeiou]/.test(i[0])?"an":"a";return s?this.error("Expected "+o+" "+i+', found "'+s+'" instead.',{index:n}):this.error("Expected "+o+" "+i+".",{index:n})},e.requiredSpace=function(i){return this.options.lossy?" ":i},e.optionalSpace=function(i){return this.options.lossy?"":i},e.lossySpace=function(i,n){return this.options.lossy?n?" 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Replace Autoprefixer \`browsers\` option to Browserslist config.
Use \`browserslist\` key in \`package.json\` or \`.browserslistrc\` file.
Using \`browsers\` option can cause errors. Browserslist config can
be used for Babel, Autoprefixer, postcss-normalize and other tools.
If you really need to use option, rename it to \`overrideBrowserslist\`.
Learn more at:
https:\/\/github.com/browserslist/browserslist#readme
https:\/\/twitter.com/browserslist
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Learn more at:
https:\/\/github.com/postcss/autoprefixer#readme
https:\/\/github.com/browserslist/browserslist#readme
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Site Watch — <b class="font-semibold text-teal-text">find it now, not on next month&rsquo;s bill.</b>
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Powered by <b class="font-semibold text-ink">WattHound</b>
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<p class="mt-2.5 max-w-[64ch] text-[15px] text-muted">Six client sites under watch. WattHound ranks them by what needs attention &mdash; issues up top &mdash; so ABC Electrical inspects and quotes the fix before it turns up on next month&rsquo;s bill.</p>
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<h2 class="text-[12px] font-bold uppercase tracking-[.16em] text-muted">Book of sites · triage order</h2>
<span class="text-right font-mono text-[12px] text-muted-2">6 sites monitored · 60-second cadence</span>
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<span class="font-mono text-[11px] uppercase tracking-[.04em] text-muted-2" x-text="s.loc"></span>
<h3 class="mt-0.5 text-[17px] font-bold text-ink" x-text="s.name"></h3>
<span class="mt-0.5 text-[12.5px] text-muted" x-text="s.load"></span>
<span class="mt-auto flex items-start gap-2 pt-3.5 text-[13px]">
<span class="mt-px flex-none rounded-md border px-1.5 py-[3px] font-mono text-[10px] font-bold uppercase tracking-[.06em]"
:class="{'border-[#F1C7C3] bg-[#FBEAE8] text-red-ink':s.cardStatus.cls==='red','border-[#EED9B4] bg-brandamber-tint text-amber-ink':s.cardStatus.cls==='amber','border-[#BADFCB] bg-[#EAF6EF] text-green-ink':s.cardStatus.cls==='green'}"
x-text="s.cardStatus.chip"></span>
<span class="leading-snug text-ink/80" x-text="s.cardStatus.txt"></span>
</span>
</span>
</a>
</li>
</template>
</ul>
<p class="mt-5 text-[12px] italic text-muted-2">Ranked worst-first: <b class="not-italic font-semibold text-red-ink">action needed</b>, then <b class="not-italic font-semibold text-amber-ink">opportunities</b> worth a call this week, then sites operating normally. Colour is backed by a text label on every card.</p>
</section>
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<a href="#/" class="mt-6 mb-1.5 inline-flex items-center gap-2 rounded-full border border-line bg-card px-3.5 py-2 pl-3 text-[13px] font-medium text-ink/80 shadow-card transition hover:border-line-2 hover:text-ink">
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<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">What it&rsquo;s doing — last week vs this week &nbsp;<span class="text-[11px] font-medium normal-case tracking-normal text-muted-2">(same scale — scan top to bottom)</span></h2>
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<figcaption class="mb-1.5 flex items-center gap-2 text-[13px] font-semibold text-muted"><span class="inline-block w-[22px] border-t-[3px] border-dashed" style="border-top-color:#7E847F"></span>Last week — normal</figcaption>
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<figcaption class="mb-1.5 flex items-center gap-2 text-[13px] font-semibold text-ink"><span class="inline-block w-[22px] border-t-[3px]" style="border-top-color:#0D7A63"></span>This week</figcaption>
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<!-- readouts -->
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<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">Readouts</h2>
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<div x-html="watchB()"></div>
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<p class="mt-3 text-[11.5px] italic leading-relaxed text-muted-2">Illustrative sample data at 60-second cadence, derived from what a Shelly Pro 3EM reports per phase &mdash; voltage, current, active and apparent power. WattHound reads load-level and cycle-level patterns, not sub-second start-up transients. It surfaces the pattern; ABC Electrical inspects and confirms the fix.</p>
</div>
</div>
<!-- LOAD BY PHASE -->
<div class="mt-4 rounded-lg border border-line bg-card p-[18px] shadow-card">
<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">Load by phase &nbsp;<span id="phase-unitnote" class="text-[11px] font-medium normal-case tracking-normal text-muted-2">(Mean kW per hour)</span></h2>
<div id="phase-toggle" role="radiogroup" aria-label="Load-by-phase time window" class="mb-4 inline-flex gap-0.5 rounded-full border border-line bg-surface2 p-[3px]">
<template x-for="opt in [['daily','Daily'],['weekly','Weekly'],['monthly','Monthly']]" :key="opt[0]">
<button type="button" role="radio"
:data-view="opt[0]"
:aria-checked="phaseView===opt[0] ? 'true':'false'"
:tabindex="phaseView===opt[0] ? 0 : -1"
@click="setPhase(opt[0],false)"
@keydown="onPhaseKey($event)"
class="cursor-pointer rounded-full border px-[15px] py-1.5 text-[12.5px] font-semibold transition"
:class="phaseView===opt[0] ? 'border-line bg-card text-teal-text font-bold shadow-card' : 'border-transparent text-muted hover:text-ink'"
x-text="opt[1]"></button>
</template>
</div>
<figure class="m-0 max-w-[720px]">
<div class="relative" id="phase-wrap"></div>
<figcaption class="mt-2 text-[12.5px] text-muted-2">Where the load actually sits across the three phases</figcaption>
</figure>
<div class="legend mt-3">
<span class="li"><span class="sw" style="border-top-color:var(--series-1)"></span><b style="color:var(--series-1-text)">L1</b></span>
<span class="li"><span class="sw" style="border-top-color:var(--series-2)"></span><b style="color:var(--series-2-text)">L2</b></span>
<span class="li"><span class="sw" style="border-top-color:var(--series-3)"></span><b style="color:var(--series-3-text)">L3</b></span>
</div>
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</div>
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<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">Where the day&rsquo;s energy goes &nbsp;<span class="text-[11px] font-medium normal-case tracking-normal text-muted-2">(illustrative energy breakdown · sample data)</span></h2>
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</div>
<!-- HOURLY + 14-DAY BARS -->
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<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">Energy by hour &nbsp;<span class="text-[11px] font-medium normal-case tracking-normal text-muted-2">(kWh · representative day)</span></h2>
<div x-html="hourlyB()"></div>
<div class="mt-3" x-html="hourlyLeg()"></div>
</div>
<div class="rounded-lg border border-line bg-card p-[18px] shadow-card">
<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">Daily total &nbsp;<span class="text-[11px] font-medium normal-case tracking-normal text-muted-2">(kWh/day · last 14 days)</span></h2>
<div x-html="dailyB()"></div>
<div class="swatch-legend mt-3">
<span class="li"><span class="sw" style="background:#7E847F"></span>Prior 7 days</span>
<span class="li"><span class="sw" style="background:#0D7A63"></span>Last 7 days</span>
<span class="li"><span class="sw dash"></span>Prior-week average</span>
</div>
</div>
</div>
<!-- DEVIATION -->
<div class="mt-4 rounded-lg border border-line bg-card p-[18px] shadow-card">
<h2 class="mb-3.5 text-[11px] font-bold uppercase tracking-[.13em] text-muted">How this differs from last week&rsquo;s normal</h2>
<div class="deviation" x-html="deviationB()"></div>
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<span>&copy; 2026 <b class="text-ink/80">ABC Electrical Ltd</b> — Whangārei, Northland</span>
<span class="flex-1"></span>
<span class="max-w-[70ch]">Site Watch is a <b class="text-ink/80">demo with illustrative sample data</b>. Every chart is derived from what a <b class="text-ink/80">Shelly Pro 3EM</b> reports per phase &mdash; voltage, current, active and apparent power at one-minute resolution. WattHound surfaces load- and cycle-level patterns; it is not an accredited electrical inspection.</span>
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<script>"use strict";
/* ============================================================
ABC Electrical · Site Watch v2 — WattHound demo
Data model + hand-rolled inline-SVG charts ported verbatim from
v1 (re-themed to warm paper); app shell + nav + triage + phase
toggle driven by Alpine. Deterministic sample data. No chart lib.
============================================================ */
/* ---------- palette (warm paper) ---------- */
const TEAL="#0D7A63", BASE="#7E847F";
const EDGE={red:"#E23B34",amber:"#F59E0B",green:"#1F9E70"};
/* ---------- seeded RNG (deterministic look every load) ---------- */
function mulberry32(a){return function(){a|=0;a=a+0x6D2B79F5|0;let t=Math.imul(a^a>>>15,1|a);t=t+Math.imul(t^t>>>7,61|t)^t;return((t^t>>>14)>>>0)/4294967296;};}
const rnd=(r,[a,b])=>a+r()*(b-a);
/* ---------- data generators (60s cadence feel) ---------- */
function blockSeries(total,onR,offR,onV,offV,seed){
const r=mulberry32(seed);const pts=[];let t=0,on=false;
pts.push([0,offV+(r()-.5)*0.05]);
while(t<total){
const dur=on?rnd(r,onR):rnd(r,offR);
const next=Math.min(total,t+dur);
const v=on?onV+(r()-.5)*0.25:offV+(r()-.5)*0.05;
pts.push([t,v]);pts.push([next,v]);
t=next;on=!on;
}
return pts;
}
const kaimanaTW=blockSeries(1440,[3,4],[3,5],5.6,0.16,1101);
const kaimanaBL=blockSeries(1440,[15,20],[9,13],5.6,0.16,1102);
function coolstore(){
const r=mulberry32(7);const tw=[],bl=[];
for(let t=0;t<=360;t++){
tw.push([t, 2.2+Math.sin(t/33)*0.16+(r()-.5)*0.10]);
bl.push([t, 0.9+Math.sin(t/40)*0.06+(r()-.5)*0.05]);
}
return {tw,bl};
}
const cool=coolstore();
function pf(){
const r=mulberry32(3);const tw=[],bl=[];
for(let t=0;t<=600;t++){
let a,b;
if(t<35||t>565){ a=0.985+(r()-.5)*0.010; b=0.985+(r()-.5)*0.008; }
else{ a=0.752+(r()-.5)*0.05+Math.sin(t/38)*0.012; b=0.955+(r()-.5)*0.012; }
tw.push([t,a]);bl.push([t,b]);
}
return {tw,bl};
}
const rj=pf();
function school(){
const r=mulberry32(21);const tw=[],bl=[];
const f=t=>{let v=0.45;
if(t>=300&&t<=390)v+=2.7;
if(t>=420&&t<=900)v+=1.25;
if(t>=990&&t<=1080)v+=2.55;
return v;};
for(let t=0;t<=1440;t+=3){ tw.push([t,f(t)+(r()-.5)*0.12]); bl.push([t,f(t)+(r()-.5)*0.10]); }
return {tw,bl};
}
const sc=school();
const cookTW=blockSeries(1440,[15,18],[12,15],4.6,0.20,510);
const cookBL=blockSeries(1440,[15,18],[12,15],4.6,0.20,511);
function workshop(seed){
const r=mulberry32(seed);const pts=[];
for(let t=0;t<=600;t++) pts.push([t,0.7+(r()-.5)*0.10]);
for(let i=0;i<14;i++){
const s=40+Math.floor(r()*520),dur=1+Math.floor(r()*3),amp=5+r()*4;
for(let t=s;t<s+dur&&t<=600;t++) pts[t]=[t,amp+(r()-.5)*0.5];
}
return pts;
}
const kaTW=workshop(88), kaBL=workshop(89);
/* ---------- ENERGY DEEP-DIVE deterministic sample data ---------- */
const bump=(h,c,w,a)=>a*Math.exp(-((h-c)*(h-c))/(2*w*w));
function hourlyArr(seed,total,shape){
const r=mulberry32(seed),raw=[];
for(let h=0;h<24;h++) raw.push(Math.max(0.03,shape(h))*(1+(r()-.5)*0.10));
const sum=raw.reduce((a,b)=>a+b,0);
return raw.map(v=>+(v/sum*total).toFixed(2));
}
function daily14Arr(seed,prior,recent,jit){
const r=mulberry32(seed),out=[];
for(let d=0;d<14;d++){const b=d<7?prior:recent;out.push(+(Math.max(0,b*(1+(r()-.5)*jit))).toFixed(1));}
return out;
}
function ticksFor(maxVal){
const rough=maxVal/4||1, pow=Math.pow(10,Math.floor(Math.log10(rough)));
const step=[1,2,2.5,5,10].map(m=>m*pow).find(s=>s>=rough)||10*pow;
const top=Math.ceil(maxVal/step)*step, t=[];
for(let v=0;v<=top+1e-9;v+=step) t.push({v,label:(v%1?(+v.toFixed(1)):v)+""});
return {yMax:top,yTicks:t};
}
const SHAPE={
kaimana:h=>1.4+bump(h,6.5,1.2,7)+bump(h,15.5,1.3,6)+bump(h,11,3.5,1.3),
coolstore:h=>(h<6?2.2:h<7.5?2.5:h<=17?4.6+bump(h,13,3,2.2):2.7),
riverside:h=>(h<7||h>17?0.12:5.5+bump(h,11.5,3,4)-(h===13?1.8:0)),
tikipunga:h=>0.35+bump(h,5.5,0.8,5)+bump(h,16.5,0.9,4.2)+((h>=8&&h<=15)?1.7:0),
cookham:h=>4+((h>=7&&h<=16)?2+bump(h,11,3,1.6):0),
kamo:h=>(h<7||h>17?0.22:2.4+bump(h,10,2,2.3)+bump(h,14,2,2))
};
const energyMeta={
kaimana:{total:240,hourlySeed:6101,dailySeed:5101,prior:214,recent:240,jit:0.05,
hourlyXLabel:"Time of day · representative milking day",
hourlyAria:"Energy by hour for a representative dairy day: two peaks at the morning and afternoon milkings, low overnight.",
dailyAria:"Daily total energy over the last 14 days: the most recent seven days sit above the prior-week average, matching the short-cycling alarm.",
sankey:{unit:"kWh",incomer:"Incomer",total:240,threePhaseIncomer:true,
nodes:[
{name:"Milk-vat refrigeration",kwh:108,tone:"red",byPhase:[70,30,8]},
{name:"Hot water (plant wash)",kwh:48,tone:"recede",byPhase:[14,20,14]},
{name:"Water & pumps",kwh:43,tone:"recede",byPhase:[15,20,8]},
{name:"Plant & other",kwh:24,tone:"recede",byPhase:[8,12,4]},
{name:"Lighting",kwh:17,tone:"recede",byPhase:[2,8,7]}],
aria:"Energy Sankey with a three-phase incomer: the day's 240 kWh is split across three phase source nodes — L1 109 kWh, L2 90 kWh, L3 41 kWh — flowing to five metered load groups. The milk-vat refrigeration load, 108 kWh or 45 percent, sits mostly on L1 and is flagged red; the other loads are shown muted.",
note:'<b>Illustrative energy breakdown (sample data).</b> The milk-vat refrigeration circuit is carrying about 45% of the day and is flagged red for short-cycling &mdash; see the last-week-vs-this-week trace above. The three left-hand bands are per-phase active energy (what the Shelly Pro 3EM measures); the vat load sits mostly on L1. Which loads sit on which phase is illustrative, to metered-circuit level only.'}},
coolstore:{total:180,hourlySeed:6102,dailySeed:5102,prior:151,recent:180,jit:0.05,
hourlyHighlight:h=>h<6,
hourlyLegend:'<div class="swatch-legend"><span class="li"><span class="sw" style="background:#0D7A63"></span>Normal load</span><span class="li"><span class="sw" style="background:#E23B34"></span>Raised overnight draw (00:00&ndash;06:00)</span></div>',
hourlyXLabel:"Time of day · site closed overnight",
hourlyAria:"Energy by hour for the coolstore: the overnight bars from midnight to 6am are raised and shown in red, when the site is closed.",
dailyAria:"Daily total energy over the last 14 days: the most recent seven days sit well above the prior-week average, since the overnight draw began.",
sankey:{unit:"kWh",incomer:"Incomer",total:180,threePhaseIncomer:true,
nodes:[
{name:"Coolstore refrigeration",kwh:86,tone:"recede",byPhase:[55,18,13]},
{name:"Overnight / unaccounted",kwh:32,tone:"red",byPhase:[28,3,1]},
{name:"Fans & dock doors",kwh:25,tone:"recede",byPhase:[10,8,7]},
{name:"Office & other",kwh:22,tone:"recede",byPhase:[8,8,6]},
{name:"Lighting",kwh:15,tone:"recede",byPhase:[6,5,4]}],
aria:"Energy Sankey with a three-phase incomer: the day's 180 kWh is split across three phase source nodes — L1 107 kWh, L2 42 kWh, L3 31 kWh — flowing to five metered load groups. An overnight / unaccounted strand of 32 kWh, 18 percent, concentrates on L1 and is flagged red; the rest are muted.",
note:'<b>Illustrative energy breakdown (sample data).</b> An "overnight / unaccounted" strand of ~18% is abnormally large and flagged red &mdash; energy drawn in the small hours with the site closed. WattHound sees the lifted floor at one-minute cadence, not the individual pump kicks beneath it. The three left-hand bands are per-phase active energy (what the Shelly Pro 3EM measures); the refrigeration and overnight draw concentrate on L1. Which loads sit on which phase is illustrative.'}},
riverside:{total:122,hourlySeed:6103,dailySeed:5103,prior:122,recent:122,jit:0.045,
hourlyXLabel:"Time of day · joinery working day (real kWh)",
hourlyAria:"Real energy by hour for the joinery working day: high through the working day, near zero outside it.",
dailyAria:"Daily real energy over the last 14 days: steady week-on-week. The power-factor issue is a quality problem, not a rise in energy used.",
sankey:{unit:"kVA·h",incTone:"incgrey",incomer:"Apparent energy in",total:155,threePhaseIncomer:true,
nodes:[
{name:"Real work",kwh:122,tone:"teal",unit:"kWh",byPhase:[54,48,20]},
{name:"Reactive / billed-but-unused",kwh:33,tone:"amber",unit:"kVA·h",byPhase:[16,15,2]}],
aria:"Power-factor Sankey with a three-phase incomer: 155 kVA-hours of apparent energy across three phase source nodes — L1 70, L2 63, L3 22 kVA-hours — split into 122 kWh of real work, 79 percent, and a 33 kVA-hour reactive share, 21 percent, flagged amber as billed but doing no useful work. The reactive share sits mainly on the motor phases L1 and L2.",
note:'<b>Illustrative energy breakdown (sample data).</b> The Shelly meter reports both active (kWh) and apparent (kVA&middot;h) power, so this split is honest. Apparent energy in divides into <b>real work done</b> and an amber <b>reactive / billed-but-unused</b> share &mdash; the power-factor gap. The three left-hand bands are per-phase apparent energy the Shelly measures; the reactive share concentrates on the motor phases L1 and L2. The phase split is illustrative. The hour and day charts below show real energy (kWh).'}},
tikipunga:{total:95,hourlySeed:6104,dailySeed:5104,prior:95,recent:95,jit:0.04,
hourlyXLabel:"Time of day · scheduled school day",
hourlyAria:"Energy by hour for the school: hot-water peaks early morning and late afternoon, with a lighting plateau through school hours.",
dailyAria:"Daily total energy over the last 14 days: flat and steady, tracking the prior-week average.",
sankey:{unit:"kWh",incomer:"Incomer",total:95,
nodes:[
{name:"Hot water",kwh:40,tone:"teal"},
{name:"Classroom power",kwh:23,tone:"teal"},
{name:"Lighting",kwh:21,tone:"teal"},
{name:"Plant & other",kwh:11,tone:"teal"}],
aria:"Energy Sankey: the day's 95 kWh flows from the incomer to four metered circuits, all healthy and shown in teal.",
note:'<b>Illustrative energy breakdown (sample data).</b> A clean, scheduled profile &mdash; hot water and lighting dominate, nothing flagged. Split shown to metered-circuit level only.'}},
cookham:{total:130,hourlySeed:6105,dailySeed:5105,prior:130,recent:130,jit:0.04,
hourlyXLabel:"Time of day · packhouse day",
hourlyAria:"Energy by hour for the packhouse: steady refrigeration through the day with a daytime packing bump.",
dailyAria:"Daily total energy over the last 14 days: flat and steady, tracking the prior-week average.",
sankey:{unit:"kWh",incomer:"Incomer",total:130,threePhaseIncomer:true,
nodes:[
{name:"Refrigeration",kwh:72,tone:"teal",byPhase:[26,24,22]},
{name:"Packing line",kwh:23,tone:"teal",byPhase:[8,8,7]},
{name:"Plant & other",kwh:15,tone:"teal",byPhase:[5,5,5]},
{name:"Lighting",kwh:12,tone:"teal",byPhase:[3,4,5]},
{name:"Hot water",kwh:8,tone:"teal",byPhase:[3,3,2]}],
aria:"Energy Sankey with a three-phase incomer: the day's 130 kWh is split evenly across three phase source nodes — L1 45 kWh, L2 44 kWh, L3 41 kWh — flowing to five metered load groups, all healthy and shown in teal.",
note:'<b>Illustrative energy breakdown (sample data).</b> Healthy refrigeration cycling carries the day, with a modest packing-line load. Nothing flagged. The three left-hand bands are per-phase active energy (what the Shelly Pro 3EM measures) and sit close together &mdash; a healthy, balanced spread. Which loads sit on which phase is illustrative, to metered-circuit level only.'}},
kamo:{total:70,hourlySeed:6106,dailySeed:5106,prior:70,recent:70,jit:0.045,
hourlyXLabel:"Time of day · auto workshop day",
hourlyAria:"Energy by hour for the auto workshop: high through the working day from tools and welding, near zero outside it.",
dailyAria:"Daily total energy over the last 14 days: flat and steady, tracking the prior-week average.",
sankey:{unit:"kWh",incomer:"Incomer",total:70,
nodes:[
{name:"Compressor & air tools",kwh:21,tone:"teal"},
{name:"Welding",kwh:15,tone:"teal"},
{name:"Office & other",kwh:14,tone:"teal"},
{name:"Lighting",kwh:11,tone:"teal"},
{name:"Hoists",kwh:9,tone:"teal"}],
aria:"Energy Sankey: the day's 70 kWh flows from the incomer to five metered circuits, all healthy and shown in teal.",
note:'<b>Illustrative energy breakdown (sample data).</b> A spread across workshop circuits &mdash; compressor, welding, hoists &mdash; all within normal range. Split shown to metered-circuit level only.'}}
};
const energyData=Object.fromEntries(Object.entries(energyMeta).map(([id,m])=>{
const hr=hourlyArr(m.hourlySeed,m.total,SHAPE[id]);
const dy=daily14Arr(m.dailySeed,m.prior,m.recent,m.jit);
const ht=ticksFor(Math.max(...hr)), dt=ticksFor(Math.max(...dy));
const hourlyCfg={
vals:hr.map((y,h)=>({y,color:(m.hourlyHighlight&&m.hourlyHighlight(h))?"#E23B34":"#0D7A63",
title:`${String(h).padStart(2,"0")}:00 — ${y.toFixed(1)} kWh`})),
yMax:ht.yMax,yTicks:ht.yTicks,
xTicks:[{i:0,label:"00:00"},{i:6,label:"06:00"},{i:12,label:"12:00"},{i:18,label:"18:00"}],xEnd:"24:00",
yLabel:"kWh per hour",xLabel:m.hourlyXLabel,aria:m.hourlyAria};
const dailyCfg={
vals:dy.map((y,d)=>({y,color:d<7?"#7E847F":"#0D7A63",
title:`${13-d===0?"today":(13-d)+" d ago"} — ${y.toFixed(1)} kWh`})),
yMax:dt.yMax,yTicks:dt.yTicks,
xTicks:[{i:0,label:"2 wks ago"},{i:7,label:"last wk"},{i:13,label:"today"}],
ref:{y:m.prior,label:"prior-week avg"},
yLabel:"kWh per day",xLabel:"Daily total · last 14 days",aria:m.dailyAria};
return [id,{sankey:m.sankey,hourlyCfg,dailyCfg,hourlyLegend:m.hourlyLegend||""}];
}));
/* ---------- axis tick helpers ---------- */
const T24=[{v:0,label:"00:00"},{v:360,label:"06:00"},{v:720,label:"12:00"},{v:1080,label:"18:00"},{v:1440,label:"24:00"}];
const TDAY=[{v:0,label:"07:00"},{v:120,label:"09:00"},{v:240,label:"11:00"},{v:360,label:"13:00"},{v:480,label:"15:00"},{v:600,label:"17:00"}];
const TNIGHT=[{v:0,label:"00:00"},{v:60,label:"01:00"},{v:120,label:"02:00"},{v:180,label:"03:00"},{v:240,label:"04:00"},{v:300,label:"05:00"},{v:360,label:"06:00"}];
const yk=(...vals)=>vals.map(v=>({v,label:(""+v)}));
const ykFix=(dp,...vals)=>vals.map(v=>({v,label:v.toFixed(dp)}));
/* ---------- SVG line chart builder ---------- */
const C={W:820,H:250,ML:60,MR:22,MT:14,MB:46};
function sxOf(sh,x){const {W,ML,MR}=C,PW=W-ML-MR;return ML+(x-sh.xMin)/(sh.xMax-sh.xMin)*PW;}
function syOf(sh,y){const {H,MT,MB}=C,PH=H-MT-MB;return MT+(1-(y-sh.yMin)/(sh.yMax-sh.yMin))*PH;}
function chart(sh,s,id){
const {W,H,ML,MR,MT,MB}=C, PW=W-ML-MR, PH=H-MT-MB;
const sx=x=>sxOf(sh,x), sy=y=>syOf(sh,y);
let g="";
sh.yTicks.forEach(t=>{const yy=sy(t.v);
g+=`<line class="grid" x1="${ML}" y1="${yy.toFixed(1)}" x2="${ML+PW}" y2="${yy.toFixed(1)}"/>`;
g+=`<text class="axis y" x="${ML-9}" y="${(yy+4).toFixed(1)}">${t.label}</text>`;});
sh.xTicks.forEach(t=>{const xx=sx(t.v);
g+=`<line class="grid vt" x1="${xx.toFixed(1)}" y1="${MT}" x2="${xx.toFixed(1)}" y2="${MT+PH}"/>`;
g+=`<text class="axis x" x="${xx.toFixed(1)}" y="${MT+PH+22}">${t.label}</text>`;});
let band="";
if(sh.band){const y1=sy(sh.band.y1),y0=sy(sh.band.y0);
band=`<rect class="band" x="${ML}" y="${y1.toFixed(1)}" width="${PW}" height="${(y0-y1).toFixed(1)}"/>`
+`<line class="band-line" x1="${ML}" y1="${y0.toFixed(1)}" x2="${ML+PW}" y2="${y0.toFixed(1)}"/>`;
if(sh.band.label) band+=`<text class="bandlbl" x="${ML+PW-6}" y="${(y1+15).toFixed(1)}">${sh.band.label}</text>`;}
const yBase=sy(sh.yMin);
let paths="";
if(s.fill){
const area="M"+sx(s.points[0][0]).toFixed(1)+" "+yBase.toFixed(1)+" "
+s.points.map(p=>"L"+sx(p[0]).toFixed(1)+" "+sy(p[1]).toFixed(1)).join(" ")
+" L"+sx(s.points[s.points.length-1][0]).toFixed(1)+" "+yBase.toFixed(1)+" Z";
paths+=`<path d="${area}" fill="${s.color}" opacity="${s.fillOpacity||.22}" stroke="none"/>`;
}
const d=s.points.map((p,i)=>(i?"L":"M")+sx(p[0]).toFixed(1)+" "+sy(p[1]).toFixed(1)).join(" ");
paths+=`<path d="${d}" fill="none" stroke="${s.color}" stroke-width="${s.width||2}" stroke-linejoin="round" stroke-linecap="round"/>`;
const yTitle=`<text class="axtitle" transform="translate(15 ${MT+PH/2}) rotate(-90)">${sh.yLabel}</text>`;
const xTitle=`<text class="axtitle" x="${ML+PW/2}" y="${H-6}">${sh.xLabel}</text>`;
const cross=`<line class="cross" id="xh-${id}" y1="${MT}" y2="${MT+PH}"/>`
+`<circle class="cdot" id="cd-${id}" r="4" fill="${s.color}" stroke="#FFFEFB" stroke-width="1.5"/>`;
const clip=`<defs><clipPath id="clip-${id}"><rect x="${ML}" y="${MT}" width="${PW}" height="${PH}"/></clipPath></defs>`;
return `<svg class="chart" viewBox="0 0 ${W} ${H}" preserveAspectRatio="xMidYMid meet" role="img" aria-label="${s.aria||sh.aria||""}">`
+clip
+`<rect class="plot" x="${ML}" y="${MT}" width="${PW}" height="${PH}"/>`
+g
+`<g clip-path="url(#clip-${id})">`+band+paths+cross+`</g>`
+yTitle+xTitle+`</svg>`;
}
function valueAt(points,x){
if(x<=points[0][0])return points[0][1];
const last=points[points.length-1];
if(x>=last[0])return last[1];
let lo=0,hi=points.length-1;
while(hi-lo>1){const m=(lo+hi)>>1; if(points[m][0]<=x)lo=m; else hi=m;}
const [x0,y0]=points[lo],[x1,y1]=points[hi];
if(x1===x0)return y1;
return y0+(y1-y0)*(x-x0)/(x1-x0);
}
/* ---------- energy Sankey ---------- */
const SKC={
teal:{node:"#0D7A63",link:"rgba(13,122,99,.28)"},
recede:{node:"#A8ABA5",link:"rgba(168,171,165,.34)"},
red:{node:"#E23B34",link:"rgba(226,59,52,.34)"},
amber:{node:"#F2A03D",link:"rgba(242,160,61,.40)"},
inc:{node:"#0D7A63"},
incgrey:{node:"#8A8F8B"}
};
/* per-phase incomer palette (industrial sites): reuse the file's phase colours.
Node/ribbon use --series-*; label text uses the darker --series-*-text for AA. */
const SKPH=[
{k:"L1",node:"var(--series-1)",text:"var(--series-1-text)",link:"var(--series-1)"},
{k:"L2",node:"var(--series-2)",text:"var(--series-2-text)",link:"var(--series-2)"},
{k:"L3",node:"var(--series-3)",text:"var(--series-3-text)",link:"var(--series-3)"}
];
function sankeySVG(sk){
if(sk.threePhaseIncomer) return sankeySVG3P(sk);
const nodes=sk.nodes, total=nodes.reduce((a,n)=>a+n.kwh,0);
const W=820, areaH=300, gap=8, scale=areaH/total;
const IX=170, INW=30, incRight=IX+INW, NX=520, NNW=30, midx=(incRight+NX)/2;
const stackH=areaH+(nodes.length-1)*gap, H=Math.max(areaH,stackH)+64, midY=H/2;
const incTop=midY-areaH/2;
let incSeg=incTop, nodeTop=midY-stackH/2, links="",rects="",labels="";
nodes.forEach(nd=>{
const h=nd.kwh*scale, c=SKC[nd.tone];
const sy0=incSeg, sy1=incSeg+h, ty0=nodeTop, ty1=nodeTop+h;
const pct=Math.round(nd.kwh/total*100), u=nd.unit||sk.unit;
links+=`<path class="slink" d="M${incRight} ${sy0.toFixed(1)} C${midx} ${sy0.toFixed(1)} ${midx} ${ty0.toFixed(1)} ${NX} ${ty0.toFixed(1)} L${NX} ${ty1.toFixed(1)} C${midx} ${ty1.toFixed(1)} ${midx} ${sy1.toFixed(1)} ${incRight} ${sy1.toFixed(1)} Z" fill="${c.link}"><title>${nd.name}: ${nd.kwh} ${u} (${pct}%)</title></path>`;
rects+=`<rect class="snode" x="${NX}" y="${ty0.toFixed(1)}" width="${NNW}" height="${h.toFixed(1)}" rx="3" fill="${c.node}"/>`;
const ly=ty0+h/2;
labels+=`<text class="sname" x="${NX+NNW+12}" y="${(ly-2).toFixed(1)}">${nd.name}</text>`
+`<text class="skwh" x="${NX+NNW+12}" y="${(ly+13).toFixed(1)}">${nd.kwh} ${u} · ${pct}%</text>`;
incSeg=sy1; nodeTop=ty1+gap;
});
const incC=SKC[sk.incTone||"inc"];
const incRect=`<rect class="snode" x="${IX}" y="${incTop.toFixed(1)}" width="${INW}" height="${areaH.toFixed(1)}" rx="3" fill="${incC.node}"/>`;
const incLabel=`<text class="sincname" x="${IX-12}" y="${(midY-4).toFixed(1)}">${sk.incomer}</text>`
+`<text class="sinc" x="${IX-12}" y="${(midY+13).toFixed(1)}">${total} ${sk.unit}/day</text>`;
return `<svg class="sankey" viewBox="0 0 ${W} ${H.toFixed(0)}" preserveAspectRatio="xMidYMid meet" role="img" aria-label="${sk.aria}">`
+links+incRect+rects+incLabel+labels+`</svg>`;
}
/* three-phase incomer: LEFT = L1/L2/L3 source bands (sized by each phase's
share of the day, column-summed from byPhase so the diagram reconciles both
ways); RIGHT = same load groups; ribbons follow the source phase at reduced
opacity, flagged loads override with red/amber + an outline so they still pop. */
function sankeySVG3P(sk){
const nodes=sk.nodes, total=nodes.reduce((a,n)=>a+n.kwh,0);
const bands=[0,0,0];
nodes.forEach(nd=>nd.byPhase.forEach((v,i)=>bands[i]+=v));
const W=820, areaH=300, gap=8, phGap=10, scale=areaH/total;
const IX=170, INW=30, incRight=IX+INW, NX=520, NNW=30, midx=(incRight+NX)/2;
const stackH=areaH+(nodes.length-1)*gap, phStackH=areaH+2*phGap;
const H=Math.max(stackH,phStackH)+64, midY=H/2;
let phTop=midY-phStackH/2;
const phMeta=bands.map((b,i)=>{const h=b*scale, o={i,top:phTop,h,cursor:phTop}; phTop+=h+phGap; return o;});
let nodeTop=midY-stackH/2;
const ndMeta=nodes.map(nd=>{const h=nd.kwh*scale, o={nd,top:nodeTop,h,cursor:nodeTop}; nodeTop+=h+gap; return o;});
let links="",rects="",labels="";
ndMeta.forEach(nm=>{
const nd=nm.nd, u=nd.unit||sk.unit;
nd.byPhase.forEach((v,i)=>{
if(v<=0) return;
const pm=phMeta[i], h=v*scale;
const sy0=pm.cursor, sy1=sy0+h, ty0=nm.cursor, ty1=ty0+h;
pm.cursor=sy1; nm.cursor=ty1;
let fill,opa="",extra="";
if(nd.tone==="red"){ fill=SKC.red.link; opa=' fill-opacity="0.78"'; extra=' stroke="#B21E17" stroke-width="0.75"'; }
else if(nd.tone==="amber"){ fill=SKC.amber.link; opa=' fill-opacity="0.82"'; extra=' stroke="#C97A15" stroke-width="0.75"'; }
else { fill=SKPH[i].link; opa=' fill-opacity="0.3"'; }
links+=`<path class="slink" d="M${incRight} ${sy0.toFixed(1)} C${midx} ${sy0.toFixed(1)} ${midx} ${ty0.toFixed(1)} ${NX} ${ty0.toFixed(1)} L${NX} ${ty1.toFixed(1)} C${midx} ${ty1.toFixed(1)} ${midx} ${sy1.toFixed(1)} ${incRight} ${sy1.toFixed(1)} Z" fill="${fill}"${opa}${extra}><title>${SKPH[i].k} → ${nd.name}: ${v} ${u}</title></path>`;
});
});
phMeta.forEach((pm,i)=>{
rects+=`<rect class="snode" x="${IX}" y="${pm.top.toFixed(1)}" width="${INW}" height="${pm.h.toFixed(1)}" rx="3" fill="${SKPH[i].node}"/>`;
const pct=Math.round(bands[i]/total*100), ly=pm.top+pm.h/2;
labels+=`<text class="sincname" x="${IX-12}" y="${(ly-2).toFixed(1)}" fill="${SKPH[i].text}">${SKPH[i].k}</text>`
+`<text class="sinc" x="${IX-12}" y="${(ly+13).toFixed(1)}">${bands[i]} ${sk.unit} · ${pct}%</text>`;
});
labels+=`<text class="sinc" x="${IX-12}" y="${(phMeta[0].top-10).toFixed(1)}">Incomer · per phase</text>`;
ndMeta.forEach(nm=>{
const nd=nm.nd, c=SKC[nd.tone], pct=Math.round(nd.kwh/total*100), u=nd.unit||sk.unit, ly=nm.top+nm.h/2;
rects+=`<rect class="snode" x="${NX}" y="${nm.top.toFixed(1)}" width="${NNW}" height="${nm.h.toFixed(1)}" rx="3" fill="${c.node}"/>`;
labels+=`<text class="sname" x="${NX+NNW+12}" y="${(ly-2).toFixed(1)}">${nd.name}</text>`
+`<text class="skwh" x="${NX+NNW+12}" y="${(ly+13).toFixed(1)}">${nd.kwh} ${u} · ${pct}%</text>`;
});
return `<svg class="sankey" viewBox="0 0 ${W} ${H.toFixed(0)}" preserveAspectRatio="xMidYMid meet" role="img" aria-label="${sk.aria}">`
+links+rects+labels+`</svg>`;
}
function sankeyLegend(sk){
const nodes=sk.nodes;
const item=(c,l,t)=>`<span class="li"><span class="sw" style="background:${c}"></span>${t?`<b style="color:${t}">${l}</b>`:l}</span>`;
let out="";
if(sk.threePhaseIncomer){
out+=item("var(--series-1)","L1 incomer","var(--series-1-text)");
out+=item("var(--series-2)","L2 incomer","var(--series-2-text)");
out+=item("var(--series-3)","L3 incomer","var(--series-3-text)");
}
if(nodes.some(n=>n.tone==="teal")) out+=item("#0D7A63","Metered circuit");
if(nodes.some(n=>n.tone==="recede")) out+=item("#A8ABA5","Other metered circuits");
if(nodes.some(n=>n.tone==="red")) out+=item("#E23B34","Flagged — action needed");
if(nodes.some(n=>n.tone==="amber")) out+=item("#F2A03D","Reactive — billed but unused");
return `<div class="swatch-legend">${out}</div>`;
}
/* ---------- bar chart (24h and 14-day) ---------- */
function roundTopBar(x,y,w,h,r){
r=Math.min(r,w/2,h);
if(h<=0.6) return `M${x.toFixed(1)} ${y.toFixed(1)} h${w.toFixed(1)}`;
return `M${x.toFixed(1)} ${(y+h).toFixed(1)} V${(y+r).toFixed(1)} Q${x.toFixed(1)} ${y.toFixed(1)} ${(x+r).toFixed(1)} ${y.toFixed(1)} H${(x+w-r).toFixed(1)} Q${(x+w).toFixed(1)} ${y.toFixed(1)} ${(x+w).toFixed(1)} ${(y+r).toFixed(1)} V${(y+h).toFixed(1)} Z`;
}
function barChartSVG(cfg){
const W=820,H=250,ML=54,MR=16,MT=16,MB=44, PW=W-ML-MR, PH=H-MT-MB;
const n=cfg.vals.length, slot=PW/n, bw=Math.min(slot-3,slot*0.74);
const bx=i=>ML+slot*i+(slot-bw)/2, sy=v=>MT+(1-v/cfg.yMax)*PH;
let g="";
cfg.yTicks.forEach(t=>{const yy=sy(t.v);
g+=`<line class="grid" x1="${ML}" y1="${yy.toFixed(1)}" x2="${ML+PW}" y2="${yy.toFixed(1)}"/>`;
g+=`<text class="axis y" x="${ML-9}" y="${(yy+4).toFixed(1)}">${t.label}</text>`;});
let xl="";
cfg.xTicks.forEach(t=>{const xx=bx(t.i)+bw/2;
xl+=`<text class="axis x" x="${xx.toFixed(1)}" y="${MT+PH+22}">${t.label}</text>`;});
if(cfg.xEnd) xl+=`<text class="axis x" x="${ML+PW}" y="${MT+PH+22}" text-anchor="end">${cfg.xEnd}</text>`;
let bars="";
cfg.vals.forEach((d,i)=>{const h=Math.max(0,d.y/cfg.yMax)*PH, top=MT+PH-h;
bars+=`<path class="bar" d="${roundTopBar(bx(i),top,bw,h,4)}" fill="${d.color}"><title>${d.title}</title></path>`;});
let ref="";
if(cfg.ref){const ry=sy(cfg.ref.y);
ref=`<line class="refline" x1="${ML}" y1="${ry.toFixed(1)}" x2="${ML+PW}" y2="${ry.toFixed(1)}"/>`
+`<text class="reflbl" x="${ML+PW-4}" y="${(ry-6).toFixed(1)}">${cfg.ref.label} · ${cfg.ref.y} kWh</text>`;}
const yTitle=`<text class="axtitle" transform="translate(14 ${MT+PH/2}) rotate(-90)">${cfg.yLabel}</text>`;
const xTitle=`<text class="axtitle" x="${ML+PW/2}" y="${H-6}">${cfg.xLabel}</text>`;
return `<svg class="bars" viewBox="0 0 ${W} ${H}" preserveAspectRatio="xMidYMid meet" role="img" aria-label="${cfg.aria}">`
+`<rect class="plot" x="${ML}" y="${MT}" width="${PW}" height="${PH}"/>`
+g+xl+bars+ref+yTitle+xTitle+`</svg>`;
}
/* ---------- three-phase loading chart ---------- */
const PHW=420,PHH=150,PHPL=32,PHPR=34,PHPT=10,PHAX=16;
const PH_STROKE=['var(--series-1)','var(--series-2)','var(--series-3)'];
const PH_TEXT=['var(--series-1-text)','var(--series-2-text)','var(--series-3-text)'];
function phaseScales(ph){
const keys=Object.keys(ph), n=ph[keys[0]].length;
const all=keys.flatMap(k=>ph[k]);
const max=Math.max(...all)*1.16;
return {keys,n,max,
x:i=>PHPL+i*(PHW-PHPL-PHPR)/(n-1),
y:v=>PHPT+(1-v/max)*(PHH-PHPT)};
}
function phaseChart(ph,view){
const {keys,n,max,x,y}=phaseScales(ph);
let g="";
for(let gi=0;gi<3;gi++){
const v=max*gi/2, yy=y(v);
g+=`<line class="grid" x1="${PHPL}" y1="${yy.toFixed(1)}" x2="${PHW-PHPR}" y2="${yy.toFixed(1)}"/>`;
g+=`<text class="axis y" x="${PHPL-5}" y="${(yy+2.5).toFixed(1)}">${Math.round(v)}</text>`;
}
let xl="";
view.xticks(n).forEach(t=>{
xl+=`<text class="axis x" x="${x(t.i).toFixed(1)}" y="${PHH+PHAX-4}">${t.label}</text>`;
});
let paths="";
keys.forEach((k,si)=>{
const d=ph[k].map((v,i)=>(i?"L":"M")+x(i).toFixed(1)+" "+y(v).toFixed(1)).join(" ");
paths+=`<path d="${d}" fill="none" stroke="${PH_STROKE[si]}" stroke-width="2" stroke-linejoin="round" stroke-linecap="round"/>`;
});
let ends=keys.map((k,si)=>({label:k,color:PH_TEXT[si],y:y(ph[k][n-1])}));
ends.sort((a,b)=>a.y-b.y);
for(let i=1;i<ends.length;i++){ if(ends[i].y-ends[i-1].y<13) ends[i].y=ends[i-1].y+13; }
const endLabels=ends.map(e=>`<text class="phase-end" x="${PHW-PHPR+6}" y="${(e.y+3).toFixed(1)}" fill="${e.color}">${e.label}</text>`).join("");
let hits="";
const half=(PHW-PHPL-PHPR)/(n-1)/2;
for(let i=0;i<n;i++){
const cx=x(i), rx=Math.max(PHPL,cx-half), rw=Math.min(PHW-PHPR,cx+half)-rx;
hits+=`<rect class="phase-hit" data-h="${i}" x="${rx.toFixed(1)}" y="${PHPT}" width="${rw.toFixed(1)}" height="${(PHH-PHPT).toFixed(1)}" fill="transparent"/>`;
}
const cross=`<line class="cross phase-cross" y1="${PHPT}" y2="${PHH}"/>`;
return `<svg class="phase" viewBox="0 0 ${PHW} ${PHH+PHAX+6}" preserveAspectRatio="xMidYMid meet" role="img" aria-label="${view.aria}">`
+g+xl+paths+cross+endLabels+hits+`</svg>`;
}
function wirePhaseHover(ph,view){
const svg=document.querySelector("#phase-wrap svg.phase");
const tip=document.getElementById("tip-phase");
if(!svg||!tip) return;
const {keys,x,y}=phaseScales(ph);
const cross=svg.querySelector(".phase-cross");
function show(i){
const gx=x(i);
cross.setAttribute("x1",gx);cross.setAttribute("x2",gx);cross.style.opacity=1;
const r=svg.getBoundingClientRect(), scale=r.width/PHW;
let total=0;
const rows=keys.map((k,pi)=>{const v=ph[k][i];total+=v;
return `<div class="r"><i style="border-top-color:${PH_STROKE[pi]}"></i>${k}&nbsp; <b>${v.toFixed(1)} kW</b></div>`;}).join("");
tip.innerHTML=`<div class="t"><strong>${view.hoverLabel(i)}</strong></div>${rows}`
+`<div class="r"><i style="border-top-color:transparent"></i>Total&nbsp; <b>${total.toFixed(1)} kW</b></div>`;
const yTop=Math.min(...keys.map(k=>y(ph[k][i])));
tip.style.left=(gx*scale)+"px";
tip.style.top=(yTop*scale)+"px";
tip.style.opacity=1;
}
function hide(){cross.style.opacity=0;tip.style.opacity=0;}
svg.querySelectorAll(".phase-hit").forEach(rect=>rect.addEventListener("pointermove",()=>show(+rect.dataset.h)));
svg.addEventListener("pointerleave",hide);
}
/* ---------- phase view configs (Daily / Weekly / Monthly) ---------- */
const WD=["Mon","Tue","Wed","Thu","Fri","Sat","Sun"];
const PHASE_VIEWS=[
{id:"daily",label:"Daily",dataKey:"phases",unitNote:"Mean kW per hour",period:"day",
xticks:()=>[0,6,12,18,23].map(i=>({i,label:String(i).padStart(2,"0")})),
hoverLabel:i=>String(i).padStart(2,"0")+":00",
aria:"Load by phase across an average day, mean kilowatts per hour"},
{id:"weekly",label:"Weekly",dataKey:"phasesWeekly",unitNote:"Mean kW per day",period:"week",
xticks:n=>Array.from({length:n},(_,i)=>({i,label:WD[i]})),
hoverLabel:i=>WD[i],
aria:"Load by phase across an average week, mean kilowatts per day"},
{id:"monthly",label:"Monthly",dataKey:"phasesMonthly",unitNote:"Mean kW per day",period:"month",
xticks:n=>[0,4,9,14,19,24,29].filter(i=>i<n).map(i=>({i,label:String(i+1)})),
hoverLabel:i=>"Day "+(i+1),
aria:"Load by phase across an average month, mean kilowatts per day"}
];
function aggregatePhase(ph){
const keys=Object.keys(ph), len=ph[keys[0]].length;
const sums=keys.map(k=>ph[k].reduce((a,b)=>a+b,0));
const tot=sums.reduce((a,b)=>a+b,0);
const means=sums.map(s=>s/len);
const s1=Math.round(sums[0]/tot*100), s2=Math.round(sums[1]/tot*100);
return {share:{L1:s1,L2:s2,L3:100-s1-s2},
rebalance_kva:+(Math.max(...means)-means.reduce((a,b)=>a+b,0)/3).toFixed(1)};
}
function buildPhases(seed,fns){
const r=mulberry32(seed), out={L1:[],L2:[],L3:[]}, keys=["L1","L2","L3"];
for(let h=0;h<24;h++) keys.forEach((k,i)=>{
const v=Math.max(0.02, fns[i](h)*(1+(r()-.5)*0.08));
out[k].push(+v.toFixed(2));
});
return out;
}
function buildPhaseSeries(seed,dayMeans,nDays,weekendDip){
const r=mulberry32(seed), out={L1:[],L2:[],L3:[]}, keys=["L1","L2","L3"];
for(let d=0;d<nDays;d++){
const dow=d%7, weekend=(dow===5||dow===6);
const f=weekend?weekendDip:1;
keys.forEach(k=>out[k].push(+Math.max(0.02, dayMeans[k]*f*(1+(r()-.5)*0.06)).toFixed(2)));
}
return out;
}
function derivePhase(ph){
let peakH=0,peakV=-1;
for(let h=0;h<24;h++){const t=ph.L1[h]+ph.L2[h]+ph.L3[h]; if(t>peakV){peakV=t;peakH=h;}}
const at={L1:ph.L1[peakH],L2:ph.L2[peakH],L3:ph.L3[peakH]};
const sum=at.L1+at.L2+at.L3;
const s1=Math.round(at.L1/sum*100), s2=Math.round(at.L2/sum*100);
return {peak_hour:peakH, peak_share:{L1:s1,L2:s2,L3:100-s1-s2},
rebalance_kva:+(Math.max(at.L1,at.L2,at.L3)-sum/3).toFixed(1)};
}
const phaseMeta={
kaimana:{seed:9101, fns:[
h=>2.6+bump(h,6.4,1.4,6.0)+bump(h,15.5,2.3,9.2),
h=>2.1+bump(h,6.4,1.5,4.8)+bump(h,15.5,2.4,7.2),
h=>0.9+bump(h,6.4,1.8,1.9)+bump(h,15.5,2.6,3.1)],
note:d=>`<b>L1 carries ${d.peak_share.L1}%</b> of the load at the ${String(d.peak_hour).padStart(2,"0")}:00 afternoon-milking peak while <b>L3 carries only ${d.peak_share.L3}%</b> &mdash; the vat refrigeration and plant sit mostly on L1. Spreading them more evenly across the three phases would take about <b>${d.rebalance_kva} kVA</b> off the worst phase without touching the supply.`},
coolstore:{seed:9102, fns:[
h=>(h<6?3.6:4.3)+bump(h,13,3.4,2.0),
h=>(h<7?0.7:1.9)+bump(h,13,3.2,1.0),
h=>(h<7?0.5:1.4)+bump(h,13,3.4,0.7)],
note:d=>`Refrigeration is concentrated on L1, which carries <b>${d.peak_share.L1}%</b> at the ${String(d.peak_hour).padStart(2,"0")}:00 peak against <b>${d.peak_share.L3}%</b> on L3 &mdash; and the raised overnight floor shows on L1 overnight too. Rebalancing the load across the three phases would take about <b>${d.rebalance_kva} kVA</b> off the worst phase without a supply upgrade.`},
riverside:{seed:9103, fns:[
h=>((h<7||h>17)?0.15:4.2)+((h>=7&&h<=17)?bump(h,11.5,3.2,1.6)-(h===13?0.9:0):0),
h=>((h<7||h>17)?0.12:3.9)+((h>=7&&h<=17)?bump(h,11.5,3.2,1.3)-(h===13?0.8:0):0),
h=>((h<7||h>17)?0.10:1.3)+((h>=7&&h<=17)?bump(h,11.5,3.4,0.4):0)],
note:d=>`The big induction motors sit on L1 and L2, so <b>L1 carries ${d.peak_share.L1}%</b> at the ${String(d.peak_hour).padStart(2,"0")}:00 peak while <b>L3 carries just ${d.peak_share.L3}%</b> &mdash; spreading them evenly across the three phases takes about <b>${d.rebalance_kva} kVA</b> off the worst phase without touching the supply.`},
tikipunga:{seed:9104, fns:[
h=>0.35+bump(h,5.5,0.9,3.0)+bump(h,16.5,1.0,2.6)+((h>=8&&h<=15)?1.30:0),
h=>0.32+bump(h,5.5,0.9,2.8)+bump(h,16.5,1.0,2.5)+((h>=8&&h<=15)?1.20:0),
h=>0.30+bump(h,5.5,0.9,2.6)+bump(h,16.5,1.0,2.4)+((h>=8&&h<=15)?1.15:0)],
note:d=>`The load is spread fairly evenly &mdash; <b>L1 carries ${d.peak_share.L1}%</b> at the ${String(d.peak_hour).padStart(2,"0")}:00 peak and <b>L3 carries ${d.peak_share.L3}%</b>, a small imbalance only. Nothing to rebalance here; the three phases are healthy.`},
cookham:{seed:9105, fns:[
h=>2.2+((h>=7&&h<=16)?1.00+bump(h,11,3.2,0.90):0),
h=>2.1+((h>=7&&h<=16)?1.00+bump(h,11,3.2,0.85):0),
h=>2.0+((h>=7&&h<=16)?0.95+bump(h,11,3.4,0.80):0)],
note:d=>`A healthy spread &mdash; <b>L1 carries ${d.peak_share.L1}%</b> at the ${String(d.peak_hour).padStart(2,"0")}:00 peak against <b>${d.peak_share.L3}%</b> on L3. The three phases sit close together; no rebalancing needed.`},
kamo:{seed:9106, fns:[
h=>((h<7||h>17)?0.20:1.6)+((h>=7&&h<=17)?bump(h,10,2.2,1.0)+bump(h,14,2.2,0.9):0),
h=>((h<7||h>17)?0.22:2.2)+((h>=7&&h<=17)?bump(h,10,2.2,2.3)+bump(h,14,2.2,2.0):0),
h=>((h<7||h>17)?0.18:1.3)+((h>=7&&h<=17)?bump(h,10,2.4,0.8)+bump(h,14,2.4,0.7):0)],
note:d=>`The single-phase welders pull L2 noticeably higher &mdash; it carries <b>${d.peak_share.L2}%</b> at the ${String(d.peak_hour).padStart(2,"0")}:00 peak against <b>${d.peak_share.L3}%</b> on L3. That is normal and common for a workshop, not a fault; if it ever mattered, spreading the welders across phases would take about <b>${d.rebalance_kva} kVA</b> off the busy phase.`}
};
const PHASE_WEEKEND_DIP={kaimana:1, coolstore:1, riverside:0.18, tikipunga:0.22, cookham:1, kamo:0.30};
const PHASE_AGGNOTE={
kaimana:a=>`<b>L1 carries ~${a.share.L1}%</b> of the load across the ${a.period} while <b>L3 carries ~${a.share.L3}%</b> &mdash; the vat refrigeration and plant sit mostly on L1. Spreading them more evenly across the three phases would take about <b>${a.rebalance_kva} kVA</b> off the worst phase without touching the supply.`,
coolstore:a=>`Refrigeration is concentrated on L1, which carries <b>~${a.share.L1}%</b> of the load across the ${a.period} against <b>~${a.share.L3}%</b> on L3 &mdash; and the raised overnight floor sits on L1 too. Rebalancing the load across the three phases would take about <b>${a.rebalance_kva} kVA</b> off the worst phase without a supply upgrade.`,
riverside:a=>`The big induction motors sit on L1 and L2, so <b>L1 carries ~${a.share.L1}%</b> across the ${a.period} while <b>L3 carries ~${a.share.L3}%</b> &mdash; spreading them evenly across the three phases takes about <b>${a.rebalance_kva} kVA</b> off the worst phase without touching the supply.`,
tikipunga:a=>`The load is spread fairly evenly across the ${a.period} &mdash; <b>L1 carries ~${a.share.L1}%</b> and <b>L3 carries ~${a.share.L3}%</b>, a small imbalance only. Nothing to rebalance here; the three phases are healthy.`,
cookham:a=>`A healthy spread across the ${a.period} &mdash; <b>L1 carries ~${a.share.L1}%</b> against <b>~${a.share.L3}%</b> on L3. The three phases sit close together; no rebalancing needed.`,
kamo:a=>`The single-phase welders pull L2 noticeably higher across the ${a.period} &mdash; it carries <b>~${a.share.L2}%</b> against <b>~${a.share.L3}%</b> on L3. That is normal and common for a workshop, not a fault; if it ever mattered, spreading the welders across phases would take about <b>${a.rebalance_kva} kVA</b> off the busy phase.`
};
/* ---------- legend helpers ---------- */
function legend(extra){
return `<div class="legend">
<span class="li"><span class="sw" style="border-top-color:${TEAL}"></span><b>This week</b></span>
<span class="li"><span class="sw" style="border-top-color:${BASE};border-top-style:dashed"></span>Last week &mdash; normal</span>
${extra||""}</div>`;
}
const bandLegend=`<span class="li"><span class="sw band"></span>Healthy target &ge;&nbsp;0.95</span>`;
/* ---------- SITE MODEL ---------- */
const sites=[
{
id:"kaimana", name:"Kaimana Dairy", loc:"Maunu · Whangārei", status:"red",
load:"Milk-vat refrigeration",
cardStatus:{chip:"Fault",cls:"red",txt:"Short-cycling vat compressor"},
summary:{lead:"Short-cycling vat compressor.",
rest:" The milk-vat refrigeration compressor is switching on and off far more often than it did last week &mdash; short cycles instead of long, steady runs."},
stats:[
{lbl:"Cycles / hour",val:"~8.1",sub:'<span class="up">▲ tripled</span> · was ~2.4'},
{lbl:"Avg run length",val:"3.4 min",sub:'<span class="down">▼</span> was ~17 min'},
{lbl:"On-time / 24h",val:"9.6 h",sub:'<span class="flat">≈</span> similar total'},
{lbl:"Status",val:"RED",sub:"action needed"}
],
chart:{xMin:60,xMax:300,xTicks:[{v:60,label:"01:00"},{v:120,label:"02:00"},{v:180,label:"03:00"},{v:240,label:"04:00"},{v:300,label:"05:00"}],yMin:0,yMax:7,yTicks:yk(0,2,4,6),
xLabel:"Representative 4-hour window · 60-second cadence (24 h totals in readouts →)",yLabel:"Compressor power (kW)",
aria:"Compressor power across a representative four-hour window. This week shows many short on/off blocks; last week's baseline shows long steady runs.",
series:[{points:kaimanaBL,color:BASE,width:2,fill:true,fillOpacity:.16},{points:kaimanaTW,color:TEAL,width:2,fill:true,fillOpacity:.22}]},
legendExtra:"",
deviation:[
"Last week the compressor ran in long, steady blocks &mdash; roughly two to three cycles an hour, about fifteen to twenty minutes on at a time.",
"This week it&rsquo;s switching on and off every few minutes: cycles per hour have <b>roughly tripled</b> and each run is only a few minutes long. The total cooling time is similar, but it&rsquo;s being delivered in short bursts.",
"Short-cycling drives compressor wear and often precedes a failure. Catching it now means a planned service callout rather than a spoilt vat of milk and an emergency."
],
action:{cls:"",k:"Suggested action",v:"Inspect refrigerant charge, thermostat differential and the condenser for the milk-vat compressor. Book a service visit while it&rsquo;s still running."}
},
{
id:"coolstore", name:"Northland Fresh Coolstore", loc:"Whangārei", status:"red",
load:"Coolstore + site services",
cardStatus:{chip:"Fault",cls:"red",txt:"Drawing power overnight when closed"},
summary:{lead:"Raised overnight base load.",
rest:" In the small hours &mdash; site closed, no one on the tools &mdash; the load sits well above its normal overnight floor. Something is running that shouldn&rsquo;t be."},
stats:[
{lbl:"Overnight floor",val:"2.2 kW",sub:'<span class="up">▲</span> was ~0.9 kW'},
{lbl:"Extra draw 00–06",val:"~1.3 kW",sub:"running when closed"},
{lbl:"Nightly excess",val:"~8 kWh",sub:"illustrative"},
{lbl:"Status",val:"RED",sub:"action needed"}
],
chart:{xMin:0,xMax:360,xTicks:TNIGHT,yMin:0,yMax:3,yTicks:yk(0,1,2,3),
xLabel:"Overnight window (00:00 – 06:00 · 60-second cadence)",yLabel:"Overnight base load (kW)",
aria:"Overnight base load midnight to 6am. This week sits at a raised floor around 2.2 kW; last week was a low steady floor around 0.9 kW.",
series:[{points:cool.bl,color:BASE,width:2,fill:true,fillOpacity:.16},{points:cool.tw,color:TEAL,width:2,fill:true,fillOpacity:.20}]},
legendExtra:"",
deviation:[
"When the coolstore is shut, the overnight floor should sit low and steady &mdash; just the refrigeration ticking over to hold temperature. Last week it did, around <b>0.9 kW</b> from midnight to dawn.",
"This week that floor has lifted to roughly <b>2.2 kW</b> and stayed there all night &mdash; an extra ~1.3 kW drawn every night with the site closed. Something is running when nothing should be.",
"A common cause on a site like this is a leaking reticulation line cycling a pressure pump &mdash; but at one-minute data WattHound can&rsquo;t see the individual pump kicks. What it sees, and flags, is the raised overnight floor. Found now, it&rsquo;s one tidy repair before it runs up months of wasted water and power."
],
action:{cls:"",k:"Suggested action",v:"Send someone to find what&rsquo;s drawing power overnight &mdash; check the pressure pump and reticulation line first. The raised floor says something&rsquo;s running; the site visit finds what."}
},
{
id:"riverside", name:"Riverside Joinery", loc:"Kamo · Whangārei", status:"amber",
load:"Joinery workshop (large motors)",
cardStatus:{chip:"Opp.",cls:"amber",txt:"Low power factor under load"},
summary:{lead:"Low power factor.",
rest:" The big induction motors &mdash; dust extraction and saws &mdash; are pulling a lot of reactive power, so the site is billed for more kVA than the useful kW it actually uses."},
stats:[
{lbl:"Power factor (load)",val:"0.75",sub:'<span class="up">▼</span> target ≥ 0.95'},
{lbl:"Excess apparent",val:"~27%",sub:"more kVA than kW"},
{lbl:"Idle PF",val:"0.98",sub:'<span class="flat">≈</span> fine unloaded'},
{lbl:"Status",val:"AMBER",sub:"opportunity"}
],
chart:{xMin:0,xMax:600,xTicks:TDAY,yMin:0.6,yMax:1.0,yTicks:ykFix(2,0.6,0.7,0.8,0.9,1.0),
xLabel:"Working day (07:00 – 17:00 · 60-second cadence)",yLabel:"Power factor",
band:{y0:1.0,y1:0.95,label:"healthy target ≥ 0.95"},
aria:"Power factor across the working day. This week sits around 0.75 under load, well below the healthy 0.95-plus band.",
series:[{points:rj.bl,color:BASE,width:2},{points:rj.tw,color:TEAL,width:2}]},
legendExtra:bandLegend,
bandNote:"Green band on both charts marks the healthy power-factor target (&ge; 0.95). Power factor is computed from the active and apparent power the Shelly meter reports each minute &mdash; both are measured, not estimated.",
deviation:[
"Power factor is how much of the power drawn is doing useful work. At 1.0 it all counts; the lower it drops, the more the network charges for capacity the site never turns into real output.",
"Under load this week the site sits around <b>0.75</b> &mdash; well below the healthy 0.95-plus target band. Unloaded it&rsquo;s fine; it&rsquo;s the big motors under load pulling it down.",
"That gap is billed as extra kVA. Power-factor correction &mdash; a capacitor bank sized to those motors &mdash; is a quoted, billable install job for ABC Electrical."
],
action:{cls:"opp",k:"Opportunity",v:"Quote power-factor correction (a capacitor bank sized to the workshop&rsquo;s motor load). Illustrative example only: a site like this might trim roughly $60–$90/month off capacity charges &mdash; confirm against the actual bill before quoting."}
},
{
id:"tikipunga", name:"Tikipunga Primary School", loc:"Whangārei", status:"green",
load:"Hot water + lighting (scheduled)",
cardStatus:{chip:"Normal",cls:"green",txt:"Tracking normal vs last week"},
summary:{lead:"Operating within normal range.",
rest:" Resistive, scheduled load &mdash; hot water and lighting on the usual timetable. This week tracks last week almost exactly."},
stats:[
{lbl:"HW heat events",val:"2 / day",sub:'<span class="flat">≈</span> as scheduled'},
{lbl:"Daytime load",val:"~1.7 kW",sub:'<span class="flat">≈</span> steady'},
{lbl:"Overnight floor",val:"0.45 kW",sub:'<span class="flat">≈</span> flat'},
{lbl:"Status",val:"GREEN",sub:"no anomalies"}
],
chart:{xMin:0,xMax:1440,xTicks:T24,yMin:0,yMax:4,yTicks:yk(0,1,2,3,4),
xLabel:"Time of day (24 h · 60-second cadence)",yLabel:"Total load (kW)",
aria:"Total load over 24 hours. This week overlaps last week's normal profile with scheduled hot-water and lighting peaks.",
series:[{points:sc.bl,color:BASE,width:2,fill:true,fillOpacity:.14},{points:sc.tw,color:TEAL,width:2,fill:true,fillOpacity:.16}]},
legendExtra:"",
deviation:[
"Two hot-water heat-ups &mdash; early morning and late afternoon &mdash; plus a steady lighting load through school hours, then a flat overnight floor. Exactly what a school on a timetable should look like.",
"This week&rsquo;s trace sits right on top of last week&rsquo;s. No drift, no new overnight draw, no missed schedules.",
"<b>No anomalies</b> &mdash; two scheduled hot-water events per day, base load steady."
],
action:{cls:"",k:"No action needed",v:"Nothing flagged. WattHound keeps watching; you&rsquo;ll hear from it only if the pattern changes."},
health:{score:96,caption:"Operating within normal range &mdash; resistive, scheduled load tracking its timetable.",trend:"Stable vs last week",
watching:[
{t:"Hot-water schedule",n:"2 events/day · on time"},
{t:"Overnight floor",n:"flat at ~0.45 kW"},
{t:"Lighting hours",n:"tracking the timetable"}
]}
},
{
id:"cookham", name:"Cookham Place Packhouse", loc:"Maunu · Whangārei", status:"green",
load:"Cyclic refrigeration",
cardStatus:{chip:"Normal",cls:"green",txt:"Cycling normally vs last week"},
summary:{lead:"Operating within normal range.",
rest:" Cyclic refrigeration cycling normally &mdash; long, even runs &mdash; and a steady base load. This week matches last week."},
stats:[
{lbl:"Cycles / hour",val:"~2.2",sub:'<span class="flat">≈</span> was ~2.2'},
{lbl:"Avg run length",val:"16 min",sub:'<span class="flat">≈</span> steady'},
{lbl:"Base load",val:"0.2 kW",sub:'<span class="flat">≈</span> flat'},
{lbl:"Status",val:"GREEN",sub:"no anomalies"}
],
chart:{xMin:480,xMax:720,xTicks:[{v:480,label:"08:00"},{v:540,label:"09:00"},{v:600,label:"10:00"},{v:660,label:"11:00"},{v:720,label:"12:00"}],yMin:0,yMax:6,yTicks:yk(0,2,4,6),
xLabel:"Representative 4-hour window · 60-second cadence (24 h totals in readouts →)",yLabel:"Refrigeration power (kW)",
aria:"Refrigeration power across a representative four-hour window. This week overlaps last week's normal long, steady cycles.",
series:[{points:cookBL,color:BASE,width:2,fill:true,fillOpacity:.16},{points:cookTW,color:TEAL,width:2,fill:true,fillOpacity:.20}]},
legendExtra:"",
deviation:[
"Refrigeration here cycles in long, even blocks &mdash; on for a good fifteen-odd minutes, off for a similar stretch, a couple of cycles an hour. That&rsquo;s a healthy compressor.",
"This week&rsquo;s cycling sits on last week&rsquo;s pattern. No short-cycling, no creeping run-times, no rising base load.",
"<b>No anomalies</b> &mdash; about 52 compressor cycles a day, base load steady."
],
action:{cls:"",k:"No action needed",v:"Nothing flagged. A useful contrast to Kaimana Dairy &mdash; this is what healthy refrigeration cycling looks like."},
health:{score:98,caption:"Operating within normal range &mdash; refrigeration cycling in long, even runs.",trend:"Stable vs last week",
watching:[
{t:"Compressor cycle health",n:"long, even runs · ~2.2/hr"},
{t:"Base load",n:"steady at ~0.2 kW"},
{t:"Daytime packing load",n:"within normal range"}
]}
},
{
id:"kamo", name:"Kamo Auto Electrical", loc:"Kamo · Whangārei", status:"green",
load:"Auto workshop (welders, hoists)",
cardStatus:{chip:"Normal",cls:"green",txt:"Spiky is healthy — nothing flagged"},
summary:{lead:"Operating within normal range.",
rest:" A busy workshop &mdash; welders and hoists driving intermittent high-draw spikes through the day. Spiky is exactly what healthy looks like here."},
stats:[
{lbl:"High-draw events",val:"14",sub:'<span class="flat">≈</span> normal spread'},
{lbl:"Peak draw",val:"~8.6 kW",sub:'<span class="flat">≈</span> welder run'},
{lbl:"Idle load",val:"0.7 kW",sub:'<span class="flat">≈</span> flat'},
{lbl:"Status",val:"GREEN",sub:"no anomalies"}
],
chart:{xMin:0,xMax:600,xTicks:TDAY,yMin:0,yMax:10,yTicks:yk(0,2,4,6,8,10),
xLabel:"Working day (07:00 – 17:00 · 60-second cadence)",yLabel:"Workshop power (kW)",
aria:"Workshop power across the working day. Intermittent high-draw spikes from welders and hoists; this week's envelope matches last week.",
series:[{points:kaBL,color:BASE,width:2},{points:kaTW,color:TEAL,width:2}]},
legendExtra:"",
deviation:[
"A workshop&rsquo;s load is meant to be spiky &mdash; a welder or a hoist pulls hard for a minute or two, then it&rsquo;s back to idle. The shape is bursty by nature.",
"This week&rsquo;s spikes fall within the same envelope as last week: similar count, similar peaks, same quiet idle floor between jobs. Nothing sustained or unexpected.",
"<b>No anomalies</b> &mdash; intermittent high-draw is normal for this site. (At 60-second cadence WattHound reads job-length runs, not sub-second inrush.)"
],
action:{cls:"",k:"No action needed",v:"Nothing flagged. The spikes are welders and hoists doing their job."},
health:{score:94,caption:"Operating within normal range &mdash; bursty workshop load with a quiet idle floor between jobs.",trend:"Stable vs last week",
watching:[
{t:"High-draw events",n:"normal spread · ~14/day"},
{t:"Peak-draw envelope",n:"welder runs within range"},
{t:"Idle floor",n:"flat at ~0.7 kW"}
]}
}
];
const siteById=Object.fromEntries(sites.map(s=>[s.id,s]));
Object.entries(phaseMeta).forEach(([id,m])=>{
const phases=buildPhases(m.seed,m.fns);
const d=derivePhase(phases);
const dayMeans={L1:0,L2:0,L3:0};
["L1","L2","L3"].forEach(k=>dayMeans[k]=phases[k].reduce((a,b)=>a+b,0)/24);
const dip=PHASE_WEEKEND_DIP[id];
Object.assign(siteById[id],{
phases,
phasesWeekly:buildPhaseSeries(m.seed+7000, dayMeans, 7, dip),
phasesMonthly:buildPhaseSeries(m.seed+30000, dayMeans, 30, dip),
peak_share:d.peak_share, peak_hour:d.peak_hour,
rebalance_kva:d.rebalance_kva, phase_note:m.note(d),
aggNote:PHASE_AGGNOTE[id]});
});
const STATUS_LABEL={red:"Action needed",amber:"Opportunity",green:"Normal"};
const STATUS_RANK={red:0,amber:1,green:2};
/* ---------- traffic light SVG ---------- */
function trafficLight(status,w){
const on=s=>status===s?" on":"";
return `<svg class="tl" width="${w}" viewBox="0 0 44 108" role="img" aria-label="Status: ${STATUS_LABEL[status]}">
<rect x="2" y="2" width="40" height="104" rx="11" fill="#20272B" stroke="#3A464C" stroke-width="1.5"/>
<rect x="4" y="4" width="36" height="100" rx="9" fill="none" stroke="rgba(255,255,255,.05)" stroke-width="1"/>
<rect class="lamp tl-red${on('red')}" x="9" y="9" width="26" height="26" rx="7" fill="#E23B34"/>
<rect class="lamp tl-amber${on('amber')}" x="9" y="41" width="26" height="26" rx="7" fill="#F59E0B"/>
<rect class="lamp tl-green${on('green')}" x="9" y="73" width="26" height="26" rx="7" fill="#1F9E70"/>
</svg>`;
}
/* ---------- green-site enrichment ---------- */
function gaugeSVG(score){
const cx=60,cy=62,r=46, sc=Math.max(0,Math.min(100,score));
const a=(180-sc/100*180)*Math.PI/180;
const ex=(cx+r*Math.cos(a)).toFixed(1), ey=(cy-r*Math.sin(a)).toFixed(1);
const track=`M${cx-r} ${cy} A${r} ${r} 0 0 1 ${cx+r} ${cy}`;
const val=`M${cx-r} ${cy} A${r} ${r} 0 0 1 ${ex} ${ey}`;
return `<svg class="gauge" width="108" viewBox="0 0 120 80" role="img" aria-label="Stability score ${sc} out of 100 — within normal range">`
+`<path d="${track}" fill="none" stroke="#E6E3DC" stroke-width="9" stroke-linecap="round"/>`
+`<path d="${val}" fill="none" stroke="#157A54" stroke-width="9" stroke-linecap="round"/>`
+`<text class="gv" x="${cx}" y="55" text-anchor="middle">${sc}</text>`
+`<text class="gd" x="${cx}" y="73" text-anchor="middle">/ 100</text></svg>`;
}
function healthBlock(s){
const h=s.health; if(!h) return "";
const spark=`<svg width="34" height="12" viewBox="0 0 34 12" aria-hidden="true"><path d="M1 7 L7 6.2 L13 7.4 L19 6.6 L25 7 L33 6.4" fill="none" stroke="#157A54" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/></svg>`;
return `<div class="flex items-center gap-4 mb-3.5 rounded-md border border-[#C6E5D5] bg-gradient-to-b from-[#EEF8F1] to-[#F6FBF8] px-4 py-3.5">
${gaugeSVG(h.score)}
<div class="min-w-0">
<div class="text-[10.5px] font-bold uppercase tracking-[.06em] text-green-ink">Stability score · illustrative</div>
<div class="mt-1 text-[13px] leading-snug text-ink/85">${h.caption}</div>
<span class="mt-2.5 inline-flex items-center gap-1.5 rounded-full border border-[#BADFCB] bg-[#EDF7F1] px-2.5 py-1 font-mono text-[11px] font-semibold text-green-ink">${spark} 7-day trend · stable</span>
</div>
</div>`;
}
function watchingList(s){
const h=s.health; if(!h) return "";
const tick=`<svg width="16" height="16" viewBox="0 0 16 16" aria-hidden="true" class="mt-px flex-none"><circle cx="8" cy="8" r="7.2" fill="#E4F1EA" stroke="#BADFCB"/><path d="M4.8 8.2 L7 10.4 L11.2 5.6" fill="none" stroke="#157A54" stroke-width="1.7" stroke-linecap="round" stroke-linejoin="round"/></svg>`;
const items=h.watching.map(w=>`<li class="flex items-start gap-2.5 text-[13.5px]">${tick}<span><b class="font-semibold text-ink">${w.t}</b><em class="mt-px block font-mono text-[11.5px] not-italic text-muted">${w.n} &mdash; normal</em></span></li>`).join("");
return `<div class="mt-3.5 border-t border-line pt-3.5">
<div class="mb-2.5 text-[11px] font-bold uppercase tracking-[.05em] text-muted">What WattHound is watching here</div>
<ul class="flex flex-col gap-2.5">${items}</ul>
<p class="mt-3 text-[11.5px] italic text-muted-2">Illustrative &mdash; each metric within its normal range.</p>
</div>`;
}
/* ---------- string builders for detail (Tailwind-classed) ---------- */
function statsHtml(s){
return s.stats.map(t=>`
<div class="rounded-md border border-line bg-surface2 px-3.5 py-3">
<div class="text-[10.5px] font-medium uppercase tracking-[.05em] text-muted">${t.lbl}</div>
<div class="mt-1.5 font-mono text-[22px] font-semibold leading-none text-ink">${t.val}</div>
<div class="mt-1.5 font-mono text-[11px] text-muted">${statSub(t.sub)}</div>
</div>`).join("");
}
function statSub(html){
return html
.replace(/<span class="up">/g,'<span class="text-red-ink">')
.replace(/<span class="down">/g,'<span class="text-green-ink">')
.replace(/<span class="flat">/g,'<span class="text-muted">');
}
function actionHtml(s){
const isOpp=s.action.cls==="opp";
const ico=`<svg width="18" height="18" viewBox="0 0 18 18" aria-hidden="true" class="mt-px flex-none"><path d="M9 1 L3 10 h5 L7.5 17 L15 7 h-5 Z" fill="${isOpp?'#9A5B12':'#0D7A63'}"/></svg>`;
const box=isOpp?"border-[#EED9B4] bg-brandamber-tint":"border-[#B7DFD5] bg-teal-tint";
const kcol=isOpp?"text-amber-ink":"text-teal-text";
return `<div class="mt-3.5 flex items-start gap-3 rounded-md border ${box} px-4 py-3.5">
${ico}
<div><div class="text-[10.5px] font-bold uppercase tracking-[.1em] ${kcol}">${s.action.k}</div>
<div class="mt-1 text-[14.5px] text-ink/85">${s.action.v}</div></div>
</div>`;
}
/* ============================================================
Alpine component — app shell, nav, triage, phase toggle, toast
============================================================ */
window.dashboard=function(){
return {
route:"",
phaseView:"daily",
toast:{show:false,msg:""},
_toastTimer:null,
/* --- derived --- */
get currentSite(){ return siteById[this.route]||null; },
get rankedSites(){ return [...sites].sort((a,b)=>STATUS_RANK[a.status]-STATUS_RANK[b.status]); },
get counts(){ const c={red:0,amber:0,green:0}; sites.forEach(s=>c[s.status]++); return c; },
get kpis(){
const c=this.counts;
const totalKwh=Object.values(energyMeta).reduce((a,m)=>a+m.total,0);
return [
{lbl:"Sites monitored",val:sites.length,unit:"",accent:"",sub:"60-second cadence"},
{lbl:"Action needed",val:c.red,unit:"",accent:"red",sub:"red — inspect & quote"},
{lbl:"Opportunities",val:c.amber,unit:"",accent:"amber",sub:"amber — billable fix"},
{lbl:"Normal",val:c.green,unit:"",accent:"green",sub:"green — within range"},
{lbl:"Under watch",val:"≈"+totalKwh,unit:"kWh/day",accent:"",sub:"illustrative sample data"}
];
},
/* --- helpers exposed to template --- */
statusLabel(s){ return STATUS_LABEL[s]; },
edge(s){ return EDGE[s]; },
tl(status,w){ return trafficLight(status,w); },
/* --- detail string builders (x-html) --- */
chartTop(){ const s=this.currentSite; return s?chart(s.chart,s.chart.series[0],'top'):""; },
chartBot(){ const s=this.currentSite; return s?chart(s.chart,s.chart.series[1],'bot'):""; },
statsBlock(){ const s=this.currentSite; return s?statsHtml(s):""; },
healthB(){ const s=this.currentSite; return s?healthBlock(s):""; },
watchB(){ const s=this.currentSite; return s?watchingList(s):""; },
actionB(){ const s=this.currentSite; return s?actionHtml(s):""; },
sankeyB(){ const s=this.currentSite; return s?sankeySVG(energyData[s.id].sankey):""; },
sankeyLeg(){ const s=this.currentSite; return s?sankeyLegend(energyData[s.id].sankey):""; },
sankeyNote(){ const s=this.currentSite; return s?energyData[s.id].sankey.note:""; },
hourlyB(){ const s=this.currentSite; return s?barChartSVG(energyData[s.id].hourlyCfg):""; },
hourlyLeg(){ const s=this.currentSite; return s?energyData[s.id].hourlyLegend:""; },
dailyB(){ const s=this.currentSite; return s?barChartSVG(energyData[s.id].dailyCfg):""; },
deviationB(){ const s=this.currentSite; return s?s.deviation.map(p=>`<p>${p}</p>`).join(""):""; },
/* --- routing --- */
init(){
this.syncRoute();
this.$nextTick(()=>this.applyRoute(true)); // handle initial deep-link
window.addEventListener("hashchange",()=>this.syncRoute());
this.$watch("route",()=>this.applyRoute(false)); // handle subsequent nav
},
applyRoute(initial){
if(this.currentSite){
this.phaseView="daily";
document.title=`${this.currentSite.name} — ABC Electrical Site Watch`;
this.$nextTick(()=>this.mountDetail());
window.scrollTo(0,0);
if(!initial) this.showToast(`Opened ${this.currentSite.name}`);
}else{
document.title="ABC Electrical — Site Watch (powered by WattHound)";
if(!initial) window.scrollTo(0,0);
}
},
syncRoute(){
const h=location.hash.replace(/^#/,"");
const m=h.match(/^\/site\/([\w-]+)$/);
this.route=(m&&siteById[m[1]])?m[1]:"";
if(!this.route && h && h!=="/") history.replaceState(null,"","#/");
},
open(id){ location.hash="#/site/"+id; },
/* --- detail wiring (charts + phase) --- */
mountDetail(){
const s=this.currentSite; if(!s) return;
wireDualCrosshair(s);
this.renderPhase("daily");
},
renderPhase(viewId){
const s=this.currentSite; if(!s) return;
const view=PHASE_VIEWS.find(v=>v.id===viewId)||PHASE_VIEWS[0];
const ph=s[view.dataKey];
const wrap=document.getElementById("phase-wrap");
if(!wrap) return;
wrap.innerHTML=phaseChart(ph,view)+`<div class="tip" id="tip-phase"></div>`;
const un=document.getElementById("phase-unitnote"); if(un) un.textContent=`(${view.unitNote})`;
const noteEl=document.getElementById("phase-note-el");
if(noteEl){
if(view.id==="daily") noteEl.innerHTML=s.phase_note;
else{ const a=aggregatePhase(ph); noteEl.innerHTML=s.aggNote({share:a.share,rebalance_kva:a.rebalance_kva,period:view.period}); }
}
wirePhaseHover(ph,view);
},
setPhase(viewId,moveFocus){
this.phaseView=viewId;
this.renderPhase(viewId);
if(moveFocus){ this.$nextTick(()=>{ const b=document.querySelector(`#phase-toggle [data-view="${viewId}"]`); if(b) b.focus(); }); }
},
onPhaseKey(e){
const order=["daily","weekly","monthly"];
let i=order.indexOf(this.phaseView), ni=null;
if(e.key==="ArrowRight"||e.key==="ArrowDown") ni=(i+1)%order.length;
else if(e.key==="ArrowLeft"||e.key==="ArrowUp") ni=(i-1+order.length)%order.length;
else if(e.key==="Home") ni=0;
else if(e.key==="End") ni=order.length-1;
if(ni!==null){ e.preventDefault(); this.setPhase(order[ni],true); }
},
/* --- toast --- */
showToast(msg){
this.toast.msg=msg; this.toast.show=true;
clearTimeout(this._toastTimer);
this._toastTimer=setTimeout(()=>this.toast.show=false,2600);
}
};
};
/* ---------- synced crosshair across the two stacked charts ---------- */
function wireDualCrosshair(s){
const sh=s.chart;
const {W,ML,MR}=C, PW=W-ML-MR;
const sx=x=>sxOf(sh,x), sy=y=>syOf(sh,y);
const isPF=s.id==="riverside";
const fmt=v=>isPF?v.toFixed(2):v.toFixed(1)+" kW";
const timeOf=x=>{const m=Math.round(x)+(sh.xTicks===TDAY?420:0);const hh=Math.floor(m/60)%24,mm=m%60;return String(hh).padStart(2,"0")+":"+String(mm).padStart(2,"0");};
const panels=[
{id:"top",label:"Last week",color:BASE,pts:sh.series[0].points},
{id:"bot",label:"This week",color:TEAL,pts:sh.series[1].points}
].map(p=>({...p,
svg:document.querySelector("#chart-"+p.id+" svg.chart"),
tip:document.getElementById("tip-"+p.id),
xh:document.getElementById("xh-"+p.id),
cd:document.getElementById("cd-"+p.id)}));
function showAt(dataX){
const gx=sx(dataX);
panels.forEach(p=>{
if(!p.svg||!p.xh) return;
const v=valueAt(p.pts,dataX);
p.xh.setAttribute("x1",gx);p.xh.setAttribute("x2",gx);p.xh.style.opacity=1;
p.cd.setAttribute("cx",gx);p.cd.setAttribute("cy",sy(v));p.cd.style.opacity=1;
const r=p.svg.getBoundingClientRect(),scale=r.width/W;
p.tip.style.left=(gx*scale)+"px";
p.tip.style.top=(sy(v)*scale)+"px";
p.tip.style.opacity=1;
p.tip.innerHTML=`<div class="t">${timeOf(dataX)}</div><div class="r"><i style="border-top-color:${p.color}"></i>${p.label}&nbsp; <b>${fmt(v)}</b></div>`;
});
}
function hide(){panels.forEach(p=>{if(p.xh){p.xh.style.opacity=0;p.cd.style.opacity=0;p.tip.style.opacity=0;}});}
function handler(ev){
const p=ev.currentTarget.__p, r=p.svg.getBoundingClientRect();
const px=(ev.touches?ev.touches[0].clientX:ev.clientX)-r.left;
const relX=px/r.width*W;
if(relX<ML||relX>ML+PW){hide();return;}
showAt(sh.xMin+(relX-ML)/PW*(sh.xMax-sh.xMin));
}
panels.forEach(p=>{
if(!p.svg)return;
p.svg.__p=p;
p.svg.addEventListener("pointermove",handler);
p.svg.addEventListener("pointerleave",hide);
p.svg.addEventListener("touchmove",handler,{passive:true});
p.svg.addEventListener("touchend",hide);
});
}
</script>
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