pwaLUPMIS2/dist/assets/analysis-modal-BJxejC9Q.js

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             id="analysis-stat-${e.key}"${e.key==="count"?" checked":""}>
      <label class="form-check-label" for="analysis-stat-${e.key}">${g(e.label)}</label>
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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-x-C7b9wf.js");return{exportXlsx:i}},__vite__mapDeps([0,1,2,3,4,5,6,7,8,9])),{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;">
    <table class="table table-sm table-striped mb-0" style="font-size:0.85rem;">
      <thead class="table-light" style="position:sticky;top:0;"><tr>${o}</tr></thead>
      <tbody>${s}</tbody>
    </table></div>`}function We(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=>({"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#39;"})[n])}export{We as openAnalysisModal};
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