Since about 28 August 2026 CARTO stamps an "API KEY REQUIRED" watermark into every basemaps.cartocdn.com tile requested without a key. The request still returns HTTP 200, so nothing fails — Carto Light and Carto Dark simply started drawing the watermark over the map. Both layers now build their tile URL through cartoTileUrl(), which appends ?key=. The parameter name matters: api_key= is silently ignored and returns the same watermarked tile as no key at all, so a wrong guess looks right until the map is looked at. Verified by checksum that the URLs the map generates return the clean tiles for both styles. The key comes from VITE_CARTO_API_KEY in .env.local, which is git-ignored, so it is not in the source and rotating it is a configuration change; .env.example documents the variable. If it is missing, a console warning says so rather than leaving only a watermark to explain it. The key is inlined into the built bundle in dist/ and sent with every tile request, so it is visible to anyone using the application. That is expected for a tile key; the exposure is quota, not access. Cached watermarked tiles are not a concern: the Service Worker keys tiles by full URL including the query string, so keyed URLs are fetched fresh and the old entries age out. No Service Worker bump — HTML is network-first, so the new bundle is picked up without one, and a bump would delete every offline tile cache (flagged separately). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
12 lines
17 KiB
JavaScript
12 lines
17 KiB
JavaScript
import{_ as de}from"./geotiff-B9aROX49.js";import{M as pe}from"./bootstrap-D1-uvFxm.js";import{ax as ye}from"./openlayers-D5-VSKzq.js";import{i as X,f as j,a as fe,b as me,c as he,d as ge,e as be,g as we}from"./turf-B-0GbNlN.js";import{s as F}from"./index-BzlrAJOS.js";import"./pako-Xa-UToif.js";import"./ol-ext-DV70ljNY.js";import"./shpjs-Doisr2ug.js";const Q=4e5,ve=new ye;function $(e,n="EPSG:3857"){const o=[];for(const s of e||[]){if(!(s.getGeometry&&s.getGeometry()))continue;const a=ve.writeFeatureObject(s,{dataProjection:"EPSG:4326",featureProjection:n});a&&a.geometry&&o.push(a)}return o}function N(e){const n=e&&e.geometry;if(!n||!n.coordinates)return null;let o=1/0,s=1/0,r=-1/0,a=-1/0;const c=l=>{if(typeof l[0]=="number"){l[0]<o&&(o=l[0]),l[0]>r&&(r=l[0]),l[1]<s&&(s=l[1]),l[1]>a&&(a=l[1]);return}for(const i of l)c(i)};return c(n.coordinates),Number.isFinite(o)?[o,s,r,a]:null}function D(e,n){return!e||!n?!1:!(e[2]<n[0]||n[2]<e[0]||e[3]<n[1]||n[3]<e[1])}function xe(e,n,o){return e?n>=e[0]&&n<=e[2]&&o>=e[1]&&o<=e[3]:!1}function _(e,n,o){if(e.length>0||n.length===0)return;const s=[...new Set(n.map(a=>a?.geometry?.type).filter(Boolean))],r=s.length?s.join(", "):"no geometry";throw new Error(`${o} contains no polygons (found ${r}). Overlay operations work on polygon layers only — line layers such as contours or roads cannot be used here. To summarise a line layer per zone, use Zonal statistics instead.`)}function I(e){return(e||[]).filter(n=>{const o=n?.geometry?.type;return o==="Polygon"||o==="MultiPolygon"})}function Be(e,n,o="b_"){const s={...e||{}};for(const[r,a]of Object.entries(n||{}))s[Object.prototype.hasOwnProperty.call(s,r)?`${o}${r}`:r]=a;return s}function z(e){return{type:"FeatureCollection",features:e}}function ee(e,n,o={}){const{keepBAttributes:s=!0}=o,r=$(e),a=$(n),c=I(r),l=I(a);_(c,r,"Layer A"),_(l,a,"Layer B");const i=l.map(N);let u=0;const f=[];for(const d of c){const y=N(d);for(let m=0;m<l.length;m++){if(!D(y,i[m]))continue;if(++u>Q)throw te(u);let p=null;try{p=me(j([d,l[m]]))}catch{p=null}!p||!p.geometry||(p.properties=s?Be(d.properties,l[m].properties):{...d.properties||{}},f.push(p))}}return z(f)}function Ee(e,n,o={}){return ee(e,n,{...o,keepBAttributes:!1})}function Le(e,n){const o=$(e),s=$(n),r=I(o),a=I(s);_(r,o,"Layer A"),_(a,s,"Layer B");const c=a.map(N);let l=0;const i=[];for(const u of r){const f=N(u);let d=u;for(let y=0;y<a.length&&d;y++)if(D(f,c[y])){if(++l>Q)throw te(l);try{const m=fe(j([d,a[y]]));d=m&&m.geometry?m:null}catch{}}d&&d.geometry&&(d.properties={...u.properties||{}},i.push(d))}return z(i)}function Ae(e,n=[]){const o=$(e),s=$(n),r=I(o),a=I(s);_(r,o,"Layer A"),_(a,s,"Layer B");const c=[...r,...a];if(c.length===0)return z([]);if(c.length===1)return z([c[0]]);let l=null;try{l=X(j(c))}catch{l=c[0];for(let i=1;i<c.length;i++)try{const u=X(j([l,c[i]]));u&&u.geometry&&(l=u)}catch{}}return!l||!l.geometry?z([]):(l.properties={parts:c.length},z([l]))}function te(e){return new Error(`This overlay has more than ${e.toLocaleString()} genuinely overlapping feature pairs, which is too much to run in the browser. 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For contour data, Minimum and Maximum (the elevation range) are the figures you can rely on.`);const y=r==="centroid"?l.map(w=>{try{return he(w)}catch{return null}}):null,m=r==="centroid"?null:l.map(N),p=c.map(N);let L=0;const W=[];for(let w=0;w<c.length;w++){const A=c[w],U=p[w],O=[];for(let h=0;h<l.length;h++){let b=!1;try{if(r==="centroid"){const E=y[h];if(!E)continue;const[ue,ce]=E.geometry.coordinates;if(!xe(U,ue,ce))continue;if(++L>Y)throw q(L);b=ge(E,A)}else{if(!D(U,m[h]))continue;if(++L>Y)throw q(L);b=be(l[h],A)}}catch{b=!1}b&&O.push(l[h])}const B=s?O.map(h=>ke(h.properties?h.properties[s]:null)).filter(h=>h!==null):[],S={};for(const h of o)switch(h){case"count":S[`${a}count`]=O.length;break;case"sum":S[`${a}sum`]=B.length?C(B.reduce((b,E)=>b+E,0)):0;break;case"mean":S[`${a}mean`]=B.length?C(B.reduce((b,E)=>b+E,0)/B.length):null;break;case"min":S[`${a}min`]=B.length?C(Math.min(...B)):null;break;case"max":S[`${a}max`]=B.length?C(Math.max(...B)):null;break;case"area":{let b=0;for(const E of O)try{b+=we(E)}catch{}S[`${a}area_m2`]=Math.round(b);break}}A.properties={...A.properties||{},...S},W.push({...Me(A),...S})}return{geojson:{type:"FeatureCollection",features:c},rows:W,warnings:i}}function q(e){return new Error(`More than ${e.toLocaleString()} features fall within the zones' bounding boxes, which is too much to summarise in the browser. Narrow the inputs using “Apply to” (current map view or selected features).`)}function C(e){return Math.round(e*1e3)/1e3}function Me(e){const n=e.properties||{};for(const o of["zone_name","name","ZONE_NAME","NAME","upn","UPN","id","ID"])if(n[o]!==void 0&&n[o]!==null&&String(n[o]).trim()!=="")return{zone:String(n[o])};return{zone:"(unnamed)"}}const Ne=9001,H="Analysis",t={};let P=null,v=null,M=[],x=null,k=null;function _e(){t.root||(t.root=document.getElementById("analysisModal"),t.mode=Array.from(document.querySelectorAll('input[name="analysis-mode"]')),t.overlayBox=document.getElementById("analysis-overlay-box"),t.zonalBox=document.getElementById("analysis-zonal-box"),t.op=document.getElementById("analysis-op"),t.opHint=document.getElementById("analysis-op-hint"),t.layerA=document.getElementById("analysis-layer-a"),t.layerB=document.getElementById("analysis-layer-b"),t.layerBWrap=document.getElementById("analysis-layer-b-wrap"),t.zoneLayer=document.getElementById("analysis-zone-layer"),t.inputLayer=document.getElementById("analysis-input-layer"),t.membership=document.getElementById("analysis-membership"),t.memberHint=document.getElementById("analysis-membership-hint"),t.field=document.getElementById("analysis-field"),t.statsBox=document.getElementById("analysis-stats-box"),t.outName=document.getElementById("analysis-output-name"),t.result=document.getElementById("analysis-result"),t.btnRun=document.getElementById("analysis-run"),t.btnExport=document.getElementById("analysis-export-table"),t.scope=document.getElementById("analysis-scope"),t.scopeHint=document.getElementById("analysis-scope-hint"),t.root.dataset.wired||(t.root.dataset.wired="1",t.mode.forEach(e=>e.addEventListener("change",oe)),t.op.addEventListener("change",re),t.membership.addEventListener("change",se),t.inputLayer.addEventListener("change",ne),t.scope.addEventListener("change",le),t.btnRun.addEventListener("click",Ce),t.btnExport.addEventListener("click",je)))}function J(e=null){return M.map((n,o)=>`<option value="${o}"${o===e?" selected":""}>${g(n.title)} (${n.count.toLocaleString()})</option>`).join("")}function Ie(){t.op.innerHTML=G.map(e=>`<option value="${e.key}">${g(e.label)}</option>`).join(""),t.membership.innerHTML=Z.map(e=>`<option value="${e.key}">${g(e.label)}</option>`).join(""),t.statsBox.innerHTML=R.map(e=>`
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<div class="form-check form-check-inline">
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<input class="form-check-input" type="checkbox" value="${e.key}"
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id="analysis-stat-${e.key}"${e.key==="count"?" checked":""}>
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<label class="form-check-label" for="analysis-stat-${e.key}">${g(e.label)}</label>
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</div>`).join("")}function ne(){const e=M[Number(t.inputLayer.value)],n=e?e.layer.getSource().getFeatures():[],o=$e(n);t.field.innerHTML='<option value="">(none — count/area only)</option>'+o.map(s=>`<option value="${g(s)}">${g(s)}</option>`).join(""),t.field.disabled=o.length===0}function V(){return(t.mode.find(e=>e.checked)||{}).value||"overlay"}function oe(){k=null,ie();const e=V()==="overlay";t.overlayBox.classList.toggle("d-none",!e),t.zonalBox.classList.toggle("d-none",e),ae()}function re(){const e=G.find(o=>o.key===t.op.value);t.opHint.textContent=e?e.hint:"";const n=e?e.needsB:!0;t.layerBWrap.querySelector("label").textContent=n?"Layer B":"Layer B (optional)",ae()}function se(){const e=Z.find(n=>n.key===t.membership.value);t.memberHint.textContent=e?e.hint:""}function ae(){if(t.outName.dataset.touched!=="1")if(V()==="overlay"){const e=t.op.value||"overlay";t.outName.value=`${e}_result`}else t.outName.value="zonal_stats"}function T(e){const n=M[Number(e.value)];if(!n)return[];const o=n.layer.getSource(),s=t.scope?t.scope.value:"all";if(s==="view"){const r=v.getMap(),a=r.getView().calculateExtent(r.getSize());return o.getFeaturesInExtent(a)}if(s==="selection"){const r=new Set(v.getSelectedFeatures());return o.getFeatures().filter(a=>r.has(a))}return s==="drawn"&&x?o.getFeatures().filter(r=>x.features.has(r)):o.getFeatures()}function le(){const e=t.scope.value;if(e==="drawn"&&x)t.scopeHint.textContent=`${x.features.size.toLocaleString()} feature(s) caught by the ${x.label}.`;else if(e==="selection"){const n=v?v.getSelectedFeatures().length:0;t.scopeHint.textContent=n===0?"Nothing selected yet — use the Digitise tool: shift-click features, or hold Ctrl/Cmd and drag a box.":`${n.toLocaleString()} feature(s) currently selected.`}else e==="view"?t.scopeHint.textContent="Only features inside the current map view are analysed — zoom to the area of interest first.":t.scopeHint.textContent="Every feature in the chosen layer. Narrow this if a large layer is slow."}function Oe(){let e=v.getLayerGroupByTitle(H);return e||(v.addLayerGroup(Ne,H,"Results of client-side spatial analysis"),e=v.getLayerGroupByTitle(H)),e}function Ce(){t.result.innerHTML="",t.btnRun.disabled=!0,setTimeout(()=>{try{const e=V(),n=(t.outName.value||"").trim()||(e==="overlay"?"overlay_result":"zonal_stats");let o,s,r=[];if(e==="overlay"){k=null;const l=t.op.value,i=T(t.layerA),u=T(t.layerB),f=(G.find(d=>d.key===l)||{}).needsB;if(i.length===0)throw new Error("Layer A has no features.");if(f&&u.length===0)throw new Error("This operation needs a second layer with features.");o=Se(l,i,u),s=`${o.features.length.toLocaleString()} feature(s) produced.`}else{const l=T(t.zoneLayer),i=T(t.inputLayer),u=Array.from(t.statsBox.querySelectorAll("input:checked")).map(p=>p.value),f=t.field.value||null;if(u.length===0)throw new Error("Select at least one statistic.");if(u.some(p=>(R.find(L=>L.key===p)||{}).needsField)&&!f)throw new Error("Sum / mean / min / max need a numeric field.");const y=ze({zoneFeatures:l,inputFeatures:i,stats:u,field:f,membership:t.membership.value});o=y.geojson,r=y.warnings||[],s=Fe(y.rows);const m=(Z.find(p=>p.key===t.membership.value)||{}).label;k={rows:y.rows,warnings:y.warnings||[],params:{Analysis:"Zonal statistics","Zone layer":K(t.zoneLayer),"Features summarised":K(t.inputLayer),"Applied to":Te(),"Zones analysed":l.length,"Features analysed":i.length,"Counted when":m||t.membership.value,Statistics:u.map(p=>(R.find(L=>L.key===p)||{}).label||p).join(", "),"Numeric field":f||"(none)","Result layer":n}}}if(!o.features.length){t.result.innerHTML='<div class="alert alert-warning py-2 px-3 mb-0">No result features — the layers may not overlap.</div>';return}const a=Oe();v.addGeoJSONLayer(o,n,{strokeColor:"#d97706",strokeWidth:2,fillColor:"rgba(217,119,6,0.18)"},a),ie();const c=r.length?'<div class="alert alert-warning py-2 px-3 mb-2" style="font-size:0.85rem;">'+r.map(l=>`<div>${g(l)}</div>`).join("")+"</div>":"";t.result.innerHTML=`<div class="alert alert-success py-2 px-3 mb-2">Added layer “${g(n)}”.</div>`+c+(typeof s=="string"&&s.startsWith("<")?s:`<div class="small text-muted">${g(s)}</div>`),F(`Analysis complete — “${n}” added to the Analysis group.`,"success",4e3)}catch(e){console.error("[Analysis] run failed:",e),t.result.innerHTML=`<div class="alert alert-danger py-2 px-3 mb-0">${g(e.message||String(e))}</div>`}finally{t.btnRun.disabled=!1}},20)}function K(e){const n=e.options[e.selectedIndex];return n?n.textContent:"(none)"}function Te(){const e=t.scope.options[t.scope.selectedIndex];return e?e.textContent:"Whole layer"}async function je(){if(k){t.btnExport.disabled=!0;try{const{exportXlsx:e}=await de(async()=>{const{exportXlsx:i}=await import("./xlsx-d1LrY7GM.js");return{exportXlsx:i}},[]),{rows:n,params:o,warnings:s}=k,r=Object.keys(n[0]||{}).filter(i=>i!=="zone"),a=[{cells:["Zone",...r],bold:!0},...n.map(i=>["zone"in i?i.zone:"",...r.map(u=>i[u]===null||i[u]===void 0?"":i[u])])],c=[{cells:["LUPMIS2 — Zonal statistics"],bold:!0},[],{cells:["Parameter","Value"],bold:!0},...Object.entries(o).map(([i,u])=>[i,u]),["Exported",new Date().toLocaleString()],...s&&s.length?[[],{cells:["Notes"],bold:!0},...s.map(i=>["",i])]:[]],l=(o["Result layer"]||"zonal_stats").toString().trim().replace(/[^A-Za-z0-9_\-]+/g,"_")||"zonal_stats";e([{name:"Parameters",rows:c},{name:"Results",rows:a}],`${l}.xlsx`),F("Table exported to Excel.","success",3e3)}catch(e){console.error("[Analysis] table export failed:",e),F(`Could not export the table: ${e.message}`,"error",6e3)}finally{t.btnExport.disabled=!1}}}function ie(){t.btnExport&&t.btnExport.classList.toggle("d-none",!k)}function Fe(e){if(!e||!e.length)return"";const n=Object.keys(e[0]).filter(r=>r!=="zone"),o=["Zone",...n.map(r=>r.replace(/^zs_/,""))].map(r=>`<th class="text-nowrap">${g(r)}</th>`).join(""),s=e.map(r=>`<tr><td class="text-nowrap">${g(String(r.zone))}</td>`+n.map(a=>`<td>${r[a]===null||r[a]===void 0?"—":g(String(r[a]))}</td>`).join("")+"</tr>").join("");return`<div class="table-responsive" style="max-height:220px;overflow:auto;">
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<table class="table table-sm table-striped mb-0" style="font-size:0.85rem;">
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<thead class="table-light" style="position:sticky;top:0;"><tr>${o}</tr></thead>
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<tbody>${s}</tbody>
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</table></div>`}function Xe(e,n={}){if(v=e,_e(),x=n.scopeFeatures&&n.scopeFeatures.length?{features:new Set(n.scopeFeatures),label:n.scopeLabel||"drawn area"}:null,He(),M=v.listVectorLayers({nonEmptyOnly:!0}),M.length===0){F("No vector layers with features are loaded — nothing to analyse yet.","warning",5e3);return}Ie();const o=J(0),s=J(M.length>1?1:0);t.layerA.innerHTML=o,t.layerB.innerHTML=s,t.zoneLayer.innerHTML=o,t.inputLayer.innerHTML=s,t.outName.dataset.touched="",t.outName.addEventListener("input",()=>{t.outName.dataset.touched="1"},{once:!0}),t.result.innerHTML="",k=null,t.scope.value=x?"drawn":"all",ne(),re(),se(),le(),oe(),P=P||new pe(t.root),P.show()}function He(){const e=t.scope.querySelector('option[value="drawn"]');if(!x){e&&e.remove();return}const n=`From ${x.label} (${x.features.size.toLocaleString()} features)`;if(e)e.textContent=n;else{const o=document.createElement("option");o.value="drawn",o.textContent=n,t.scope.insertBefore(o,t.scope.firstChild)}}function g(e){return String(e).replace(/[&<>"']/g,n=>({"&":"&","<":"<",">":">",'"':""","'":"'"})[n])}export{Xe as openAnalysisModal};
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