1import{j as e}from"./ui-vendor-B12AOeKi.js";import{r as v,g as Oa,d as Ua}from"./react-vendor-DZt7wVAJ.js";import{ak as Ga,a as Us,u as Pr,B as ce,aq as Ba,aC as za,aP as Va,g as Pe,ac as ra,ai as Zt,aH as qa,aI as Wa,aJ as Ya,p as ys,q as $e,y as Ae,P as es,s as ne,v as At,w as Mt,n as Ha,I as Ct,D as Gs,b as Bs,c as zs,d as Vs,e as xr,a8 as pr,ap as Lr,L as Rs,R as Ka,bm as aa,Y as Ks,T as Or,E as lr,a3 as $s,F as As,by as Ze,C as Qa}from"./index-CUOC2qQu.js";import{T as na,b as la,c as ht,a as ut}from"./tabs-Cesl5pOW.js";import{S as Cr,f as Ja,a as $r,b as Ar,c as Mr}from"./sheet-D40jqZ33.js";import{u as ia}from"./useResponsive-DgP2iP9p.js";import{L as Xa}from"./layout-grid-DwP6H9SU.js";import{b as ke,c as Le,T as q,d as h,e as Ce,a as c}from"./table-CslgGg9T.js";import{A as Za}from"./AppLogo-DHfXijyC.js";import{S as It,a as Ot,b as Ut,c as Gt,d as Te}from"./select-B8RrBf7t.js";import{b as en,c as Bt,a as tn,f as Je,d as xe,e as is,v as os,g as sn,m as rn,h as Es,i as an}from"./reportsHelpers-CooLZYCr.js";import{P as Is}from"./printer-BNAVOmS6.js";import{R as gr,B as nn,j as fr,X as vr,Y as Os,T as jr,h as _r,i as ir,k as oa,e as ar,S as ln,l as Ur}from"./charts-vendor-B6q1L48j.js";import{R as on}from"./ReportRunnerButton-B1MeDF2q.js";import{A as cn}from"./index-BrL6o1HN.js";import{r as Gr,u as dn}from"./xlsx-BQptaUDQ.js";import{F as hn}from"./file-spreadsheet-BXdlMI0T.js";import{U as Er}from"./upload-krIPvW5L.js";import{C as ca}from"./circle-check-CwVqBPQR.js";import{T as un}from"./textarea-BsyLd3-L.js";import{S as mn}from"./save-CgF44BVm.js";import{P as Br}from"./pencil-Clt1PLkW.js";import{H as xn}from"./history-BxaZ1doz.js";import{F as pn}from"./filter-DqCshXAe.js";import{T as Wt}from"./trending-down-Dtf-_mlH.js";import"./supabase-vendor-dOy44Gxq.js";import"./animation-vendor-BAVy02gd.js";import"./inProcessAgeColor-8VnRak4A.js";/** 2 * @license lucide-react v0.462.0 - ISC 3 * 4 * This source code is licensed under the ISC license. 5 * See the LICENSE file in the root directory of this source tree. 6 */const gn=Ga("Rows3",[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2",key:"afitv7"}],["path",{d:"M21 9H3",key:"1338ky"}],["path",{d:"M21 15H3",key:"9uk58r"}]]),Jt=t=>{if(t==null||t==="")return"â";const s=Number(t);return Number.isFinite(s)?s.toLocaleString("en-US",{style:"currency",currency:"USD",maximumFractionDigits:0}):"â"},zr=t=>{if(t==null||t==="")return"â";const s=Number(t);return Number.isFinite(s)?s.toLocaleString("en-US"):String(t)},wt=t=>t==null||t===""?"â":String(t).replace(/&/g,"&").replace(/</g,"<").replace(/>/g,">"),fn=t=>[t.year,t.make,t.model,t.trim].filter(Boolean).join(" ")||t.vin||"Wholesale Lot";function vn(t,s){const a=fn(t),r=t.sale_price,n=s==null?"":s>=0?"pos":"neg",o=new Date().toLocaleString("en-US",{dateStyle:"medium",timeStyle:"short"}),i=(f,j,y={})=>` 7 <tr> 8 <td class="lbl">${wt(f)}</td> 9 <td class="val ${y.mono?"mono":""} ${y.cls??""}">${j}</td> 10 </tr>`,m=`<!DOCTYPE html> 11<html lang="en"> 12<head> 13<meta charset="UTF-8" /> 14<title>${wt(a)} â intel360 Lot Detail</title> 15<style> 16 @page { size: letter; margin: 0.5in; } 17 @media print { body { -webkit-print-color-adjust: exact; print-color-adjust: exact; } .no-print { display: none !important; } } 18 * { box-sizing: border-box; } 19 body { 20 margin: 0; padding: 24px; 21 font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; 22 font-size: 12px; color: #1a1a1a; background: #fff; 23 } 24 .header { border-bottom: 2px solid #1C5ED6; padding-bottom: 12px; margin-bottom: 18px; display: flex; justify-content: space-between; align-items: flex-end; } 25 .header h1 { margin: 0; font-size: 20px; color: #0B1F3A; } 26 .header .sub { font-size: 11px; color: #666; margin-top: 4px; } 27 .meta { font-size: 11px; color: #666; text-align: right; } 28 .section { margin-bottom: 18px; break-inside: avoid; } 29 .section h2 { 30 font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em; 31 color: #1C5ED6; margin: 0 0 6px; padding-bottom: 4px; border-bottom: 1px solid #d6e0ee; 32 } 33 table { width: 100%; border-collapse: collapse; } 34 td { padding: 6px 8px; vertical-align: top; border-bottom: 1px solid #eef1f5; } 35 td.lbl { color: #555; width: 45%; } 36 td.val { text-align: right; font-weight: 500; } 37 td.val.mono { font-family: ui-monospace, SFMono-Regular, Menlo, monospace; } 38 .pos { color: #138a4a; font-weight: 600; } 39 .neg { color: #c0392b; font-weight: 600; } 40 .amber { color: #b7791f; font-weight: 600; } 41 .footer { margin-top: 24px; padding-top: 10px; border-top: 1px solid #ddd; font-size: 10px; color: #888; text-align: center; } 42 .toolbar { margin-bottom: 14px; } 43 .toolbar button { padding: 8px 14px; font-size: 12px; cursor: pointer; background: #1C5ED6; color: #fff; border: 0; border-radius: 6px; } 44</style> 45</head> 46<body> 47 <div class="toolbar no-print"> 48 <button onclick="window.print()">Print</button> 49 </div> 50 <div class="header"> 51 <div> 52 <h1>${wt(a)}</h1> 53 <div class="sub">intel360 â Lot Detail Report</div> 54 </div> 55 <div class="meta">Generated: ${wt(o)}</div> 56 </div> 57 58 <div class="section"> 59 <h2>Selling Dealer</h2> 60 <table> 61 ${i("Dealer Code",wt(t.dealer_code),{mono:!0})} 62 ${i("Dealer Name",wt(t.dealer_name))} 63 </table> 64 </div> 65 66 <div class="section"> 67 <h2>Vehicle</h2> 68 <table> 69 ${i("VIN",wt(t.vin),{mono:!0})} 70 ${i("Stock #",wt(t.stock_number),{mono:!0})} 71 ${i("Year / Make / Model",wt(a))} 72 ${i("Color",wt(t.color))} 73 ${i("Miles",zr(t.miles))} 74 ${i("Title State",wt(t.title_state))} 75 </table> 76 </div> 77 78 <div class="section"> 79 <h2>Pricing</h2> 80 <table> 81 ${i("Floor Price",Jt(t.floor_price))} 82 ${i("Sale Price",r==null?'<span class="amber">NO SALE</span>':Jt(r))} 83 ${i("Auction Fee",Jt(t.auction_fee))} 84 ${i("Net Check to Dealer",Jt(t.net_check_to_dealer))} 85 ${i("Profit / Loss",Jt(s),{cls:n})} 86 ${i("Local CV",Jt(t.local_cv))} 87 ${i("National CV",Jt(t.natl_cv))} 88 ${i("Guidebook",Jt(t.guidebook))} 89 ${i("Highest Bid",Jt(t.highest_bid_amount))} 90 </table> 91 </div> 92 93 <div class="section"> 94 <h2>Condition</h2> 95 <table> 96 ${i("Codes",wt(t.condition_codes))} 97 ${i("CR Comments",wt(t.cr_comments))} 98 ${i("Appraiser",wt(t.appraiser))} 99 ${i("Days in Inventory",zr(t.days_in_inventory))} 100 </table> 101 </div> 102 103 <div class="footer">AI Dealer 360 â intel360 ⢠${wt(o)}</div> 104 105 <script> 106 window.addEventListener("load", function () { setTimeout(function () { window.print(); }, 250); }); 107 <\/script> 108</body> 109</html>`,g=window.open("","_blank","width=900,height=1100");if(!g){alert("Please allow pop-ups to print this report.");return}g.document.open(),g.document.write(m),g.document.close()}const Lt=t=>{if(t==null||t==="")return"â";const s=Number(t);
109return Number.isFinite(s)?s.toLocaleString("en-US",{style:"currency",currency:"USD",maximumFractionDigits:0}):"â"},jn=t=>{if(t==null||t==="")return"â";const s=Number(t);return Number.isFinite(s)?s.toLocaleString("en-US"):String(t)},Yt=t=>t==null||t===""?"â":String(t).replace(/&/g,"&").replace(/</g,"<").replace(/>/g,">"),_n=t=>[t.year,t.make,t.model,t.trim].filter(Boolean).join(" ")||t.vin||"â";function bn(t,s,a,r){const n=new Date().toLocaleString("en-US",{dateStyle:"medium",timeStyle:"short"}),o=t.lots_count?t.sold/t.lots_count*100:0,i=r&&r.incomplete?`<div class="warn">Incomplete import â ${t.lots_count} of ${r.reportListed??t.lots_count} vehicles read${r.soldGap>0?`; auction report shows ${r.reportSold} sold, this report shows ${t.sold}`:""}. Figures below are lower than the auction report.</div>`:"";let m=0,g=0,f=0,j=0,y=0,k=!1,C=!1;for(const L of s){m+=Number(L.floor_price)||0,L.sale_price!=null&&(g+=Number(L.sale_price)||0,k=!0),f+=Number(L.auction_fee)||0,j+=Number(L.net_check_to_dealer)||0;const _=a(L);_!=null&&(y+=_,C=!0)}const x=s.map(L=>{const _=a(L),H=_==null?"muted":_>=0?"pos":"neg",F=L.sale_price!=null,p=[];return L.as_is&&p.push('<span class="flag">AS IS</span>'),L.structural_damage&&p.push('<span class="flag red">STRUCT</span>'),L.over_200k&&p.push('<span class="flag">200K+</span>'),L.over_100k&&!L.over_200k&&p.push('<span class="flag">100K+</span>'),L.canadian_vehicle&&p.push('<span class="flag">CDN</span>'),` 110 <tr> 111 <td class="mono">${Yt(L.lot_number)}</td> 112 <td> 113 <div>${Yt(_n(L))}</div> 114 <div class="sub">${Yt([L.color,L.title_state].filter(Boolean).join(" ⢠")||"")}</div> 115 </td> 116 <td class="mono">${Yt(L.vin)}</td> 117 <td class="r">${jn(L.miles)}</td> 118 <td class="r">${Lt(L.floor_price)}</td> 119 <td class="r">${F?Lt(L.sale_price):'<span class="amber">â</span>'}</td> 120 <td class="r">${Lt(L.auction_fee)}</td> 121 <td class="r">${Lt(L.net_check_to_dealer)}</td> 122 <td class="r ${H}">${Lt(_)}</td> 123 <td>${Yt(L.appraiser)}</td> 124 <td>${F?'<span class="badge sold">SOLD</span>':'<span class="badge nosale">NO SALE</span>'}</td> 125 <td>${p.join(" ")||"â"}</td> 126 </tr>`}).join(""),A=t.profit_loss>=0?"pos":"neg",S=t.sold>0?t.profit_loss/t.sold:0,X=S>=0?"pos":"neg",N=`<!DOCTYPE html> 127<html lang="en"> 128<head> 129<meta charset="UTF-8" /> 130<title>${Yt(t.dealer_code)} â intel360 Store Report</title> 131<style> 132 @page { size: letter landscape; margin: 0.4in; } 133 @media print { body { -webkit-print-color-adjust: exact; print-color-adjust: exact; } .no-print { display: none !important; } } 134 * { box-sizing: border-box; } 135 body { margin: 0; padding: 18px; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; font-size: 11px; color: #1a1a1a; background: #fff; } 136 .toolbar { margin-bottom: 12px; } 137 .toolbar button { padding: 8px 14px; font-size: 12px; cursor: pointer; background: #1C5ED6; color: #fff; border: 0; border-radius: 6px; } 138 .header { border-bottom: 2px solid #1C5ED6; padding-bottom: 10px; margin-bottom: 14px; display: flex; justify-content: space-between; align-items: flex-end; } 139 .header h1 { margin: 0; font-size: 18px; color: #0B1F3A; } 140 .header .sub { font-size: 11px; color: #555; margin-top: 4px; } 141 .header .meta { font-size: 10px; color: #666; text-align: right; } 142 .kpis { display: grid; grid-template-columns: repeat(8, 1fr); gap: 8px; margin-bottom: 14px; break-inside: avoid; } 143 .kpi { border: 1px solid #d6e0ee; border-radius: 6px; padding: 8px 10px; background: #f7faff; } 144 .kpi .label { font-size: 9px; text-transform: uppercase; letter-spacing: 0.08em; color: #1C5ED6; margin-bottom: 4px; } 145 .kpi .value { font-size: 15px; font-weight: 700; color: #0B1F3A; } 146 .kpi .value.pos { color: #138a4a; } 147 .kpi .value.neg { color: #c0392b; } 148 table { width: 100%; border-collapse: collapse; font-size: 10px; } 149 thead { display: table-header-group; } 150 th { background: #1C5ED6; color: #fff; text-align: left; padding: 6px 6px; font-weight: 600; font-size: 10px; } 151 th.r, td.r { text-align: right; } 152 td { padding: 6px 6px; border-bottom: 1px solid #e8edf3; vertical-align: top; } 153 tbody tr:nth-child(even) { background: #fafbfd; } 154 td.mono { font-family: ui-monospace, SFMono-Regular, Menlo, monospace; } 155 .sub { color: #777; font-size: 9px; } 156 .pos { color: #138a4a; font-weight: 600; } 157 .neg { color: #c0392b; font-weight: 600; } 158 .muted { color: #999; } 159 .amber { color: #b7791f; } 160 .badge { display: inline-block; padding: 2px 6px; border-radius: 10px; font-size: 9px; font-weight: 700; } 161 .badge.sold { background: #d4f4e0; color: #138a4a; } 162 .badge.nosale { background: #fff1d6; color: #b7791f; } 163 .flag { display: inline-block; padding: 1px 5px; border: 1px solid #cfd6e0; border-radius: 8px; font-size: 9px; color: #4a5568; margin-right: 3px; } 164 .flag.red { border-color: #f5c2c0; color: #c0392b; background: #fdecec; } 165 tfoot td { border-top: 2px solid #0B1F3A; font-weight: 700; background: #f0f4fa; } 166 .footer { margin-top: 18px; padding-top: 8px; border-top: 1px solid #ddd; font-size: 9px; color: #888; text-align: center; } 167 .warn { border: 1px solid #b45309; background: #fef3c7; color: #7c2d12; padding: 6px 10px; border-radius: 6px; font-size: 11px; font-weight: 600; margin-bottom: 10px; } 168</style> 169</head> 170<body> 171 <div class="toolbar no-print"><button onclick="window.print()">Print</button></div> 172 <div class="header"> 173 <div> 174 <h1>${Yt(t.dealer_code)} â ${Yt(t.dealer_name||"â")}</h1> 175 <div class="sub">intel360 â Store Performance Report</div> 176 </div> 177 <div class="meta">Generated: ${Yt(n)}</div> 178 </div> 179 180 ${i} 181 182 <div class="kpis"> 183 <div class="kpi"><div class="label">Lots</div><div class="value">${t.lots_count}</div></div> 184 <div class="kpi"><div class="label">Sold</div><div class="value">${t.sold}</div></div> 185 <div class="kpi"><div class="label">No Sale</div><div class="value">${t.no_sale}</div></div> 186 <div class="kpi"><div class="label">Sell-through</div><div class="value">${o.toFixed(1)}%</div></div> 187 <div class="kpi"><div class="label">
187Total Sale</div><div class="value">${Lt(t.total_sale)}</div></div> 188 <div class="kpi"><div class="label">Total Net</div><div class="value">${Lt(t.total_net)}</div></div> 189 <div class="kpi"><div class="label">Profit / Loss</div><div class="value ${A}">${Lt(t.profit_loss)}</div></div> 190 <div class="kpi"><div class="label">Avg P/L / Vehicle</div><div class="value ${X}">${t.sold>0?Lt(S):"â"}</div></div> 191 </div> 192 193 <table> 194 <thead> 195 <tr> 196 <th>Lot</th><th>Vehicle</th><th>VIN</th> 197 <th class="r">Miles</th><th class="r">Floor</th><th class="r">Sale</th> 198 <th class="r">Fee</th><th class="r">Net Check</th><th class="r">P/L</th> 199 <th>Appraiser</th><th>Status</th><th>Flags</th> 200 </tr> 201 </thead> 202 <tbody>${x}</tbody> 203 <tfoot> 204 <tr> 205 <td colspan="4" class="r">Totals (${s.length} lots)</td> 206 <td class="r">${Lt(m)}</td> 207 <td class="r">${k?Lt(g):"â"}</td> 208 <td class="r">${Lt(f)}</td> 209 <td class="r">${Lt(j)}</td> 210 <td class="r ${y>=0?"pos":"neg"}">${C?Lt(y):"â"}</td> 211 <td colspan="3"></td> 212 </tr> 213 </tfoot> 214 </table> 215 216 <div class="footer">AI Dealer 360 â intel360 ⢠${Yt(n)}</div> 217 <script>window.addEventListener("load", function () { setTimeout(function () { window.print(); }, 300); });<\/script> 218</body> 219</html>`,M=window.open("","_blank","width=1200,height=900");if(!M){alert("Please allow pop-ups to print this report.");return}M.document.open(),M.document.write(N),M.document.close()}async function Nn(t){const s=await t.arrayBuffer(),a=await crypto.subtle.digest("SHA-256",s);return Array.from(new Uint8Array(a)).map(r=>r.toString(16).padStart(2,"0")).join("")}const da=v.createContext(void 0),ha=t=>`w360:scope:${t??"anon"}`;function wn(t){try{const s=localStorage.getItem(ha(t));if(!s)return null;const a=JSON.parse(s);return Array.isArray(a==null?void 0:a.ids)?{ids:a.ids.filter(r=>typeof r=="string"),mode:a.mode==="byStore"?"byStore":"combined",all:a.all===!0}:null}catch{return null}}function yn({children:t}){const{userDealerships:s,selectedDealership:a,loading:r}=Us(),{currentUser:n}=Pr(),o=(n==null?void 0:n.id)??null,i=v.useMemo(()=>(s??[]).map(u=>({id:u.id,name:u.name,code:u.code})).sort((u,w)=>u.name.localeCompare(w.name)),[s]),m=v.useMemo(()=>new Set(i.map(u=>u.id)),[i]),[g,f]=v.useState([]),[j,y]=v.useState("combined"),[k,C]=v.useState(!1),[x,A]=v.useState(!1);v.useEffect(()=>{if(r||i.length===0)return;const u=x?null:wn(o),w=((u==null?void 0:u.ids)??[]).filter(T=>m.has(T));f(T=>{const $=T.filter(B=>m.has(B));return x?$.length>0?$.length===T.length?T:$:[a&&m.has(a.id)?a.id:i[0].id]:u!=null&&u.all?i.map(_e=>_e.id):w.length>0?w:[a&&m.has(a.id)?a.id:i[0].id]}),x||(u!=null&&u.mode&&y(u.mode),u!=null&&u.all&&C(!0),A(!0))},[r,i,m,a,o,x]),v.useEffect(()=>{!k||i.length===0||f(u=>u.length===i.length?u:i.map(w=>w.id))},[k,i]);const S=v.useCallback((u,w,T)=>{try{localStorage.setItem(ha(o),JSON.stringify({ids:u,mode:w,all:T}))}catch{}},[o]),X=v.useCallback(u=>{const w=Array.from(new Set(u.filter(W=>m.has(W))));if(w.length===0)return;const T=w.length===i.length&&i.length>1;C(T),f(w);const $=w.length===1?"combined":j;$!==j&&y($),S(w,$,T)},[m,i.length,S,j]),N=v.useCallback(()=>{if(i.length===0)return;const u=i.map(w=>w.id);C(i.length>1),f(u),S(u,j,i.length>1)},[i,S,j]),M=v.useCallback(u=>{y(u),S(g,u,k)},[S,g,k]),L=v.useMemo(()=>new Map(i.map(u=>[u.id,u.name])),[i]),_=v.useMemo(()=>i.filter(u=>g.includes(u.id)),[i,g]),H=i.length>1&&g.length===i.length,F=v.useMemo(()=>_.length===0?"No store selected":H?"All My Stores":_.length===1?_[0].name:_.length===2?_.map(u=>u.name).join(" + "):`${_.length} selected stores`,[_,H]),p={authorized:i,selectedIds:g,selectedDealerships:_,canSelect:i.length>1,isMultiStore:g.length>1,isAllAuthorized:H,viewMode:g.length>1?j:"combined",setViewMode:M,setSelectedIds:X,selectAllAuthorized:N,scopeLabel:F,storeName:u=>u?L.get(u)??"Unlinked seller":"Unlinked seller",loading:r||g.length===0};return e.jsx(da.Provider,{value:p,children:t})}function br(){const t=v.useContext(da);if(!t)throw new Error("useW360Scope must be used within a W360ScopeProvider");return t}function Sn(){const{authorized:t,selectedIds:s,setSelectedIds:a,selectAllAuthorized:r,canSelect:n,isMultiStore:o,isAllAuthorized:i,scopeLabel:m,viewM
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s.soldDate!==void 0&&(s.vin!==void 0||s.stockNumber!==void 0)}function sl(t){if(t==null)return null;if(typeof t=="number"&&Number.isFinite(t)&&t>2e4&&t<6e4){const o=Date.UTC(1899,11,30)+t*864e5;return new Date(o).toISOString().slice(0,10)}const s=String(t).trim();if(!s)return null;const a=/^(\d{4})-(\d{1,2})-(\d{1,2})/.exec(s);if(a)return`${a[1]}-${a[2].padStart(2,"0")}-${a[3].padStart(2,"0")}`;const r=/^(\d{1,2})[/-](\d{1,2})[/-](\d{2,4})/.exec(s);if(r)return`${r[3].length===2?`20${r[3]}`:r[3]}-${r[1].padStart(2,"0")}-${r[2].padStart(2,"0")}`;const n=Date.parse(s);return Number.isFinite(n)?new Date(n).toISOString().slice(0,10):null}function rl(t,s){const a=f=>{const j=s[f];return j===void 0?void 0:t[j]},r=mt(a("dealershipLabel"));if(!r||Ht(r))return null;const n=sl(a("soldDate")),o=mt(a("make")),i=mt(a("model"));if(!o||!i)return null;const 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234case"One-Off Opportunity":return"Buy opportunistically; maximum depth of one unit. Do not create standing inventory.";default:return"Do not acquire; economics do not support continued sourcing."}}function Nl(t,s=rs){const a=Qe(t.vehiclesSold),r=Qe(t.averageAge),n=Qe(t.averageFrontGross),o=Qe(t.averageTotalGross),i=Qe(t.priorYearSold),m={volume:fl(a),turn:vl(r),gross:_l(o),front:jl(n),trend:0,total:0};m.total=m.volume+m.turn+m.gross+m.front;const g=_a(a,s),f=ba(g),j=wa(a),y=bl(a,r,n,o,m.total,Qe(t.ptm),Qe(t.averageDiscount),Qe(t.averageListPrice)),k=ya(r,n,o);return{...t,monthlyPace:g,target45DayQuantity:f,estimatedThreeMonthGross:Na(a,o),frontGrossPct:or(n,Qe(t.averageListPrice)),totalGrossPct:or(o,Qe(t.averageListPrice)),salesChangePct:Nr(a,i),newDemand:(i===null||i===0)&&(a??0)>0,scores:m,confidence:j,sourcingTier:y,priority:null,acquisitionDirection:Sa(y,f,j),riskLevel:k.level,riskReason:k.reason,managementApproved:!1}}function wl(t,s){const a=t.totalsRow,r=Qe((a==null?void 0:a.vehiclesSold)??null)??s.reduce((g,f)=>g+(f.vehiclesSold??0),0),n=Qe((a==null?void 0:a.priorYearSold)??null)??s.reduce((g,f)=>g+(f.priorYearSold??0),0),i=t.rows.filter(g=>g.rowLevel==="make"&&(g.vehiclesSold??0)>0).filter(g=>(g.make??"").toLowerCase()==="ford").reduce((g,f)=>g+(f.vehiclesSold??0),0)||s.filter(g=>(g.make??"").toLowerCase()==="ford").reduce((g,f)=>g+(f.vehiclesSold??0),0),m=typeof(a==null?void 0:a.tradeCount)=="number"?a.tradeCount:t.rows.some(g=>typeof g.tradeCount=="number")?t.rows.filter(g=>g.rowLevel==="model").reduce((g,f)=>g+(f.tradeCount??0),0):null;return{unitsSold:r||null,priorYearUnits:n||null,changeVsPriorYear:Nr(r,n),tradeCount:m,tradeRate:m!==null&&r>0?m/r:null,averageAge:Qe((a==null?void 0:a.averageAge)??null)??bs(s,"averageAge"),averageFrontGross:Qe((a==null?void 0:a.averageFrontGross)??null)??bs(s,"averageFrontGross"),averageTotalGross:Qe((a==null?void 0:a.averageTotalGross)??null)??bs(s,"averageTotalGross"),fordMix:r>0?i/r:null}}function yl(t,s){const a=t.reduce((m,g)=>m+(g.vehiclesSold??0),0),r=t.reduce((m,g)=>m+(g.priorYearSold??0),0),n=t.filter(m=>(m.make??"").toLowerCase()==="ford").reduce((m,g)=>m+(g.vehiclesSold??0),0),o=t.some(m=>typeof m.tradeCount=="number"),i=o?t.reduce((m,g)=>m+(g.tradeCount??0),0):s.tradeCount??null;return{unitsSold:a||null,priorYearUnits:r||null,changeVsPriorYear:Nr(a,r),tradeCount:o?i:null,tradeRate:o&&i!==null&&a>0?i/a:null,averageAge:bs(t,"averageAge"),averageFrontGross:bs(t,"averageFrontGross"),averageTotalGross:bs(t,"averageTotalGross"),fordMix:a>0?n/a:null}}const Sl=t=>[t.make,t.model,t.trim].filter(Boolean).join(" ");function kl(t,s){const a=new Map(t.map(i=>[_s(i.make,i.model,i.trim),i]));let r=s;r.length||(r=Hr.every(m=>a.has(_s(m.make,m.model,m.trim)))?Hr:[]);const n=[];r.forEach(i=>{const m=a.get(_s(i.make,i.model,i.trim));m&&!n.includes(m)&&(m.sourcingTier="Aggressively Source",m.managementApproved=!0,m.priority=n.length+1,m.acquisitionDirection=Sa("Aggressively Source",m.target45DayQuantity,m.confidence),n.push(m))});const o=t.filter(i=>i.sourcingTier==="Aggressively Source"&&!n.includes(i)).sort((i,m)=>m.scores.total-i.scores.total||(m.vehiclesSold??0)-(i.vehiclesSold??0));return r.length?o.forEach(i=>{i.priority=null,i.managementApproved=!1}):o.forEach(i=>{n.push(i),i.priority=n.length}),t}function Ll(t){const s=t.filter(i=>i.sourcingTier==="Aggressively Source"&&i.priority!==null).sort((i,m)=>(i.priority??0)-(m.priority??0));if(!s.length)return"No trims currently meet the aggressive-sourcing standard. Review the corrected-buy-basis list before committing acquisition dollars.";const a=s.filter(i=>(i.vehiclesSold??0)>=3),r=s.filter(i=>(i.vehiclesSold??0)<3),n=i=>{const m=i.map(Sl);return m.length===1?m[0]:`${m.slice(0,-1).join(", ")} and ${m[m.length-1]}`},o=[];return a.length&&o.push(`Primary acquisition targets are the ${n(a)}.`),r.length&&o.push(`Maintain controlled one-unit replacement depth on the ${n(r)} because those trims are supported by smaller sales samples.`),o.join(" ")}const ps=t=>`$${Math.round(t).toLocaleString("en-US")}`,Qr=t=>`${(t*100).toFixed(1)}%`;function ka(t,s){const a=t.reduce((L,_)=>L+(_.vehiclesSold??0),0),n=t.filter(L=>L.averageAge!==null&&L.averageAge<=45).reduce((L,_)=>L+(_.vehiclesSold??0),0),o=t.filter(L=>L.averageAge!==null&&L.averageAge>60),i=o.reduce((L,_)=>L+(_.vehiclesSold??0),0),m=o.reduce((L,_)=>L+(_.averageFrontGross??0)*(_.vehiclesSold??0),0),g=m<0?Math.abs(m):0,f=t.filter(L=>L.averageFrontGross!==null&&L.averageFrontGross<0),j=f.reduce((L,_)=>L+(_.vehiclesSold??0),0),y=f.reduce((L,_)=>L+Math.abs(_.averageFrontGross??0)*(_.vehiclesSold??0),0),k=[...t].sort((L,_)=>(_.vehiclesSold??0)-(L.vehiclesSold??0)),C=k.slice(0,5).reduce((L,_)=>L+(_.vehiclesSold??0),0),x=k.slice(0,10).reduce((L,_)=>L+(_.vehiclesSold??0),0),A=t.filter(L=>L.recommendation==="Core Buy"),S=A.reduce((L,_)=>L+(_.vehiclesSold??0),0),X=A.reduce((L,_)=>L+(_.estimatedThreeMonthGross??0),0),N=t.reduce((L,_)=>L+(_.estimatedThreeMonthGross??0),0),M=L=>a>0?Qr(L/a):"n/a";return[{label:"Fast-turning demand",value:`${n} units (${M(n)})`,detail:`${n} units, or approximately ${M(n)}, came from models averaging 45 days or less.`,method:"Sum of vehicles sold for every model-level row with an average age at sale of 45 days or less, divided by total model-level units."},{label:"Slow-turning exposure",value:`${i} units · ${ps(g)}`,detail:`Models averaging more than 60 days represented ${i} units and approximately ${ps(g)} in estimated front-gross losses.`,method:"Models with average age above 60 days. Estimated loss = negative average front gross à vehicles sold for those models."},{label:"Negative front gross",value:`${j} units · ${ps(y)}`,detail:`Models with negative average front gross represented ${j} units and produced approximately ${ps(y)} in estimated front-gross losses.`,method:"Models whose average front gross is below zero. Estimated loss = |average front gross| à vehicles sold."},{label:"Volume concentration",value:`${M(C)} / ${M(x)}`,detail:`The top five models represented ${M(C)} of units and the top ten models represented ${M(x)} of units.`,method:"Models ranked by vehicles sold; the top five and top ten unit counts divided by total units."},{label:"Core-buy contribution",value:`${S} units · ${ps(X)}`,detail:`The core-buy group represented ${S} units and approximately ${ps(X)} in estimated total gross â about ${M(S)} of unit volume and ${N>0?Qr(X/N):"n/a"} of total gross.`,method:"Models classified Core Buy (score 75+, 3+ units, 50 days or less, $3,500+ total gross). Estimated gross = vehicles sold à average total gross."}]}const Ss="This analysis identifies which models and trims deserve acquisition attention based on sold performance. It cannot establish a VIN-level appraisal or true days-supply target without year, mileage, cost, recon, current inventory and market-supply data.";function La(t){const s=t.periodMonths&&t.periodMonths>0?t.periodMonths:rs,a=t.modelRows.map(o=>gl(o,s)),r=kl(t.trimRows.map(o=>Nl(o,s)),t.approvedOrder);return{kpis:wl(t,a),models:a,trims:r,periodMonths:s,findings:ka(a),conclusion:Ll(r)}}const qe=t=>{let s=0,a=0;return t.forEach(r=>{typeof r=="number"&&Number.isFinite(r)&&(s+=r,a+=1)}),a>0?s/a:null},vt=t=>(t??"").toLowerCase().trim();function cr(t,s,a){return t.filter(r=>!(!r.soldDate||s&&r.soldDate<s||a&&r.soldDate>a))}function Ca(t){const s=t.map(a=>a.soldDate).filter(a=>!!a).sort();return{start:s[0]??null,end:s[s.length-1]??null}}const Fs=(t,s)=>{const[a,r,n]=t.split("-").map(Number);return`${String(a+s).padStart(4,"0")}-${String(r).padStart(2,"0")}-${String(n).padStart(2,"0")}`};function Ms(t,s){const a=new Map;return t.forEach(r=>{const o=(s==="overall"?["all"]:s==="dealership"?[vt(r.dealershipLabel)]:s==="make"?[vt(r.dealershipLabel),vt(r.make)]:s==="model"?[vt(r.dealershipLabel),vt(r.make),vt(r.model)]:[vt(r.dealershipLabel),vt(r.make),vt(r.model),vt(r.trim)]).join("|"),i=a.get(o);i?i.push(r):a.set(o,[r])}),[...a.values()].map(r=>Cl(r,s))}function Cl(t,s){const a=t[0];return{rowLevel:s,dealershipLabel:s==="overall"?"Total":a.dealershipLabel,make:s==="make"||s==="model"||s==="trim"?a.make:null,model:s==="model"||s==="trim"?a.model:null,trim:s==="trim"?a.trim:null,vehiclesSold:t.length,projectedSales:null,priorYearSold:null,salesDeltaText:null,salesDeltaPct:null,averageAge:qe(t.map(r=>r.daysInInventory)),ptm:qe(t.map(r=>r.priceToMarket)),averageListPrice:qe(t.map(r=>r.listPrice)),averageDiscount:qe(t.map(r=>r.vehicleDiscount)),averageFrontGross:qe(t.map(r=>r.frontGross)),averageBackGross:qe(t.map(r=>r.backGross)),tradeOverUnder:qe(t.map(r=>r.tradeOverUnder)),averageTotalGross:qe(t.map(r=>r.totalGross)),tradeCount:t.filter(r=>r.isTrade).length,averageTransactionPrice:qe(t.map(r=>r.transactionPrice))}}const yr=t=>[vt(t.make),vt(t.model),vt(t.trim??null)].join("|");function $l(t,s=[]){if(!t.length)return{rows:[],totalsRow:null};const a=Ms(t,"overall"),r=Ms(t,"dealership"),n=Ms(t,"make"),o=Ms(t,"model"),i=Ms(t,"trim");if(s.length){const g=new Map,f=new Map;let j=0;
234s.forEach(y=>{j+=1;const k=`${vt(y.make)}|${vt(y.model)}|`;g.set(k,(g.get(k)??0)+1);const C=yr(y);f.set(C,(f.get(C)??0)+1)}),o.forEach(y=>{y.priorYearSold=g.get(yr(y))??0}),i.forEach(y=>{y.priorYearSold=f.get(yr(y))??0}),[...a,...r].forEach(y=>{y.priorYearSold=j})}return{rows:[...a,...r,...n,...o,...i],totalsRow:r[0]??a[0]??null}}function Al(t,s){return!t||!s?null:ja(t,s)}function dr(t){const s=t.recordFilter?t.records.filter(t.recordFilter):t.records,a=Ca(s),r=t.start??a.start,n=t.end??a.end,o=cr(s,r,n),i=r?Fs(r,-1):null,g=!!(i&&a.start&&i>=a.start)&&r&&n?cr(s,Fs(r,-1),Fs(n,-1)):[],{rows:f,totalsRow:j}=$l(o,g),y=Al(r,n)??1,k={filename:t.filename,dealershipLabel:t.dealershipLabel,reportPeriodLabel:vs(r,n,y),periodKey:null,periodMonths:y,reportStartDate:r,reportEndDate:n,importMode:"detail",sheetsFound:[],records:s,rows:f,modelRows:f.filter(C=>C.rowLevel==="model"&&(C.vehiclesSold??0)>0),trimRows:f.filter(C=>C.rowLevel==="trim"&&(C.vehiclesSold??0)>0),excludedRows:s.length-o.length,totalsRow:j,warnings:t.warnings??[],errors:[],approvedOrder:t.approvedOrder??[]};return{report:k,analysis:La(k),records:o}}const Ml=[{label:"0â2 years old",min:0,max:2},{label:"3â5 years old",min:3,max:5},{label:"6â9 years old",min:6,max:9},{label:"10+ years old",min:10,max:999}],Tl=(t,s,a,r)=>t?a!==null&&a<0?"Stop buying in this band; total gross is negative.":a!==null&&a>=4e3&&s!==null&&s<=45?"Buy at full planned depth; this band turns quickly at strong gross.":s!==null&&s>60?"Buy sparingly; this band sits too long.":r!==null&&r<0?"Buy only with a corrected purchase cost; front gross is negative.":"Buy selectively with tight cost discipline.":"No sales in this band.";function Dl(t){return Ml.map(s=>{const a=t.filter(m=>{if(!m.modelYear||!m.soldDate)return!1;const g=Number(m.soldDate.slice(0,4))-m.modelYear;return g>=s.min&&g<=s.max}),r=qe(a.map(m=>m.daysInInventory)),n=qe(a.map(m=>m.totalGross)),o=qe(a.map(m=>m.frontGross)),i=a.filter(m=>m.isTrade).length;return{label:s.label,units:a.length,tradeCount:i,tradeRate:a.length?i/a.length:null,averageAge:r,averageFrontGross:o,averageTotalGross:n,guidance:Tl(a.length,r,n,o)}})}function Rl(t){const s=new Map;return t.forEach(a=>{if(!a.soldDate)return;const r=a.soldDate.slice(0,7),n=s.get(r);n?n.push(a):s.set(r,[a])}),[...s.entries()].sort((a,r)=>a[0].localeCompare(r[0])).map(([a,r])=>{const[n,o]=a.split("-").map(Number);return{month:a,label:new Date(Date.UTC(n,o-1,1)).toLocaleDateString("en-US",{month:"short",year:"2-digit",timeZone:"UTC"}),units:r.length,tradeCount:r.filter(i=>i.isTrade).length,averageAge:qe(r.map(i=>i.daysInInventory)),averageFrontGross:qe(r.map(i=>i.frontGross)),averageTotalGross:qe(r.map(i=>i.totalGross))}})}function Pl(t){const s=new Map;return t.forEach(a=>{const r=`${vt(a.make)}|${vt(a.model)}`,n=s.get(r);n?n.push(a):s.set(r,[a])}),[...s.values()].map(a=>{const r=qe(a.map(g=>g.listPrice)),n=qe(a.map(g=>g.vehicleDiscount)),o=qe(a.map(g=>g.frontGross)),i=r&&r>0&&n!==null?n/r:null;let m=null;return i!==null&&i>.03&&o!==null&&o<1e3?m="Discounting is consuming the front gross":o!==null&&o<0?m="Negative front gross":i!==null&&i>.05&&(m="Heavy discounting"),{make:a[0].make,model:a[0].model,units:a.length,averageListPrice:r,averageTransactionPrice:qe(a.map(g=>g.transactionPrice)),averageDiscount:n,discountPctOfList:i,averagePriceToMarket:qe(a.map(g=>g.priceToMarket)),averageFrontGross:o,flag:m}}).sort((a,r)=>r.units-a.units)}const Xs="Unknown";function El(t){const s=new Map;t.forEach(r=>{const n=(r.source??"").trim()||Xs,o=s.get(n);o?o.push(r):s.set(n,[r])});const a=t.length;return[...s.entries()].map(([r,n])=>({source:r,units:n.length,unitShare:a?n.length/a:null,tradeCount:n.filter(o=>o.isTrade).length,averageAge:qe(n.map(o=>o.daysInInventory)),averageFrontGross:qe(n.map(o=>o.frontGross)),averageTotalGross:qe(n.map(o=>o.totalGross)),averageTransactionPrice:qe(n.map(o=>o.transactionPrice))})).sort((r,n)=>r.source===Xs!=(n.source===Xs)?r.source===Xs?1:-1:n.units-r.units||r.source.localeCompare(n.source))}const $a="id, filename, dealership_id, dealership_label, report_period_label, report_start_date, report_end_date, period_key, period_months, import_mode, uploaded_by_name, uploaded_at, status, source_row_count, model_row_count, trim_row_count, excluded_row_count, total_units_sold, record_count, trade_count, validation_summary, is_active",Fl="dealership_label, stock_number, vin, model_year, make, model, trim, sold_date, days_in_inventory, price_to_market, list_price, transaction_price, vehicle_discount, front_gross, back_gross, trade_over_under, total_gross, is_trade, source",Il
234=t=>({dealershipLabel:t.dealership_label,stockNumber:t.stock_number,vin:t.vin,modelYear:t.model_year,make:t.make,model:t.model,trim:t.trim,soldDate:t.sold_date,daysInInventory:t.days_in_inventory,priceToMarket:t.price_to_market,listPrice:t.list_price,transactionPrice:t.transaction_price,vehicleDiscount:t.vehicle_discount,frontGross:t.front_gross,backGross:t.back_gross,tradeOverUnder:t.trade_over_under,totalGross:t.total_gross,isTrade:!!t.is_trade,source:(t.source??"").trim()||"Unknown"});async function Ol(t,s){let a=ne.from("uva_imports").select($a).eq("organization_id",t).order("uploaded_at",{ascending:!1});s.length&&(a=a.in("dealership_id",s));const{data:r,error:n}=await a;if(n)throw n;return r??[]}async function Ul(t){var g,f;const{report:s,analysis:a,organizationId:r,dealershipId:n}=t,{data:o,error:i}=await ne.from("uva_imports").insert({organization_id:r,dealership_id:n,filename:s.filename,dealership_label:s.dealershipLabel,report_period_label:s.reportPeriodLabel,report_start_date:t.reportStartDate??s.reportStartDate??null,report_end_date:t.reportEndDate??s.reportEndDate??null,period_key:s.periodKey??null,period_months:s.periodMonths??null,import_mode:s.importMode,uploaded_by:t.uploadedBy,uploaded_by_name:t.uploadedByName,status:"ready",source_row_count:s.rows.length,model_row_count:s.modelRows.length,trim_row_count:s.trimRows.length,excluded_row_count:s.excludedRows,total_units_sold:Math.round(a.kpis.unitsSold??0),record_count:((g=s.records)==null?void 0:g.length)??0,trade_count:((f=s.records)==null?void 0:f.filter(j=>j.isTrade).length)??0,kpis:a.kpis,validation_summary:{warnings:s.warnings,errors:s.errors},is_active:!0}).select("id").single();if(i||!o)throw i??new Error("The import could not be saved.");const m=o.id;try{const j=s.records??[];if(j.length){const x=j.map(A=>({import_id:m,organization_id:r,dealership_id:n,dealership_label:A.dealershipLabel,stock_number:A.stockNumber,vin:A.vin,model_year:A.modelYear,make:A.make,model:A.model,trim:A.trim,sold_date:A.soldDate,days_in_inventory:A.daysInInventory,price_to_market:A.priceToMarket,list_price:A.listPrice,transaction_price:A.transactionPrice,vehicle_discount:A.vehicleDiscount,front_gross:A.frontGross,back_gross:A.backGross,trade_over_under:A.tradeOverUnder,total_gross:A.totalGross,is_trade:A.isTrade,source:A.source??null}));for(let A=0;A<x.length;A+=400){const{error:S}=await ne.from("uva_sales_records").insert(x.slice(A,A+400));if(S)throw S}}const y=s.rows.map(x=>({import_id:m,organization_id:r,dealership_id:n,row_level:x.rowLevel,dealership_label:x.dealershipLabel,make:x.make,model:x.model,trim:x.trim,vehicles_sold:x.vehiclesSold,projected_sales:x.projectedSales,prior_year_sold:x.priorYearSold,sales_delta_text:x.salesDeltaText,sales_delta_pct:x.salesDeltaPct,average_age:x.averageAge,ptm:x.ptm,average_list_price:x.averageListPrice,average_discount:x.averageDiscount,average_front_gross:x.averageFrontGross,average_back_gross:x.averageBackGross,trade_over_under:x.tradeOverUnder,average_total_gross:x.averageTotalGross}));for(let x=0;x<y.length;x+=400){const{error:A}=await ne.from("uva_sales_metrics").insert(y.slice(x,x+400));if(A)throw A}const k=[...a.models.map(x=>({import_id:m,organization_id:r,dealership_id:n,result_level:"model",make:x.make,model:x.model,trim:null,vehicles_sold:x.vehiclesSold,prior_year_sold:x.priorYearSold,monthly_pace:x.monthlyPace,target_45_day_quantity:x.target45DayQuantity,estimated_three_month_gross:x.estimatedThreeMonthGross,average_age:x.averageAge,ptm:x.ptm,average_list_price:x.averageListPrice,average_front_gross:x.averageFrontGross,average_back_gross:x.averageBackGross,average_total_gross:x.averageTotalGross,volume_score:x.scores.volume,turn_score:x.scores.turn,gross_score:x.scores.gross,front_score:x.scores.front,trend_score:x.scores.trend,total_score:x.scores.total,confidence:x.confidence,recommendation:x.recommendation,risk_level:x.riskLevel,risk_reason:x.riskReason,sourcing_tier:null,priority:null,acquisition_direction:x.acquisitionAction})),...a.trims.map(x=>({import_id:m,organization_id:r,dealership_id:n,result_level:"trim",make:x.make,model:x.model,trim:x.trim,vehicles_sold:x.vehiclesSold,prior_year_sold:x.priorYearSold,monthly_pace:x.monthlyPace,target_45_day_quantity:x.target45DayQuantity,estimated_three_month_gross:x.estimatedThreeMonthGross,average_age:x.averageAge,ptm:x.ptm,average_list_price:x.averageListPrice,average_front_gross:x.averageFrontGross,average_back_gross:x.averageBackGross,average_total_gross:x.averageTotalGross,volume_score:x.scores.volume,turn_score:x.scores.turn,gross_
234score:x.scores.gross,front_score:x.scores.front,trend_score:x.scores.trend,total_score:x.scores.total,confidence:x.confidence,recommendation:null,risk_level:x.riskLevel,risk_reason:x.riskReason,sourcing_tier:x.sourcingTier,priority:x.priority,acquisition_direction:x.acquisitionDirection}))];for(let x=0;x<k.length;x+=400){const{error:A}=await ne.from("uva_acquisition_results").insert(k.slice(x,x+400));if(A)throw A}let C=ne.from("uva_imports").update({is_active:!1}).eq("organization_id",r).neq("id",m);C=n?C.eq("dealership_id",n):C.is("dealership_id",null),await C}catch(j){throw await ne.from("uva_imports").delete().eq("id",m),j}return m}async function Gl(t){const s=[];for(let r=0;r<30;r+=1){const{data:n,error:o}=await ne.from("uva_sales_records").select(Fl).eq("import_id",t).order("sold_date",{ascending:!0}).range(r*1e3,r*1e3+1e3-1);if(o)throw o;const i=n??[];if(s.push(...i.map(Il)),i.length<1e3)break}return s}async function Bl(t){var y,k,C;const[{data:s,error:a},r,n]=await Promise.all([ne.from("uva_imports").select($a).eq("id",t).single(),ne.from("uva_sales_metrics").select("row_level, dealership_label, make, model, trim, vehicles_sold, projected_sales, prior_year_sold, sales_delta_text, sales_delta_pct, average_age, ptm, average_list_price, average_discount, average_front_gross, average_back_gross, trade_over_under, average_total_gross").eq("import_id",t).limit(5e3),ne.from("uva_acquisition_results").select("id, make, model, trim, priority, sourcing_tier, acquisition_direction, management_override, override_tier, override_priority, override_direction, override_reason, approved, result_level").eq("import_id",t).eq("result_level","trim").limit(5e3)]);if(a||!s)throw a??new Error("Import not found.");if(r.error)throw r.error;if(n.error)throw n.error;const o=(r.data??[]).map(x=>({rowLevel:x.row_level,dealershipLabel:x.dealership_label,make:x.make,model:x.model,trim:x.trim,vehiclesSold:x.vehicles_sold,projectedSales:x.projected_sales,priorYearSold:x.prior_year_sold,salesDeltaText:x.sales_delta_text,salesDeltaPct:x.sales_delta_pct,averageAge:x.average_age,ptm:x.ptm,averageListPrice:x.average_list_price,averageDiscount:x.average_discount,averageFrontGross:x.average_front_gross,averageBackGross:x.average_back_gross,tradeOverUnder:x.trade_over_under,averageTotalGross:x.average_total_gross})),i=s,m=n.data??[],g=m.filter(x=>(x.override_priority??x.priority)!==null).sort((x,A)=>(x.override_priority??x.priority??0)-(A.override_priority??A.priority??0)).map(x=>({make:x.make??"",model:x.model??"",trim:x.trim??""})),f={filename:i.filename,dealershipLabel:i.dealership_label,reportPeriodLabel:i.report_period_label,periodKey:i.period_key,periodMonths:i.period_months,reportStartDate:i.report_start_date,reportEndDate:i.report_end_date,importMode:i.import_mode??"workbook",sheetsFound:[],rows:o,modelRows:o.filter(x=>x.rowLevel==="model"&&(x.vehiclesSold??0)>0),trimRows:o.filter(x=>x.rowLevel==="trim"&&(x.vehiclesSold??0)>0),excludedRows:i.excluded_row_count,totalsRow:o.find(x=>x.rowLevel==="dealership")??o.find(x=>x.rowLevel==="overall")??null,warnings:((y=i.validation_summary)==null?void 0:y.warnings)??[],errors:((k=i.validation_summary)==null?void 0:k.errors)??[],approvedOrder:g};if((i.record_count??0)>0){const x=await Gl(t);if(x.length){const A=dr({records:x,filename:i.filename,dealershipLabel:i.dealership_label,start:i.report_start_date,end:i.report_end_date,approvedOrder:g,warnings:((C=i.validation_summary)==null?void 0:C.warnings)??[]});return Jr(A.analysis.trims,m),{record:i,report:A.report,analysis:A.analysis,overrides:m,records:x}}}const j=La(f);return Jr(j.trims,m),{record:i,report:f,analysis:j,overrides:m,records:[]}}function Jr(t,s){const a=new Map(s.map(r=>[_s(r.make,r.model,r.trim),r]));t.forEach(r=>{const n=a.get(_s(r.make,r.model,r.trim));!n||!n.management_override||(n.override_tier&&(r.sourcingTier=n.override_tier),n.override_priority!==null&&(r.priority=n.override_priority),n.override_direction&&(r.acquisitionDirection=n.override_direction),r.managementApproved=!0)})}async function Aa(t,s,a){let r=ne.from("uva_acquisition_results").update({...a,approved_at:a.approved?new Date().toISOString():void 0}).eq("import_id",t).eq("result_level","trim").eq("make",s.make??"").eq("model",s.model??"");r=s.trim?r.eq("trim",s.trim):r.is("trim",null);const{error:n}=await r;if(n)throw n}async function zl(t,s){await Aa(t,s,{management_override:!1,override_tier:null,override_priority:null,override_direction:null,override_reason:null,approved:!1})}async function Vl(t,s,a){let r=ne.from("uva_imports").update({is_active:!1}).eq("organization_id",s);r=a?r.eq("dealership_id",a):r.is("dealership_id",null);const{error:n}=await r;if(n)throw n;const{error:o}=await ne.from("uva_imports").update({is_active:!0}).eq("id",t);if(o)throw o}async function ql(t){const{error:s}=await ne.from("uva_saved_reports").insert({import_id:t.importId,organization_id:t.organizationId,dealership_id:t.dealershipId,report_type:t.reportType,report_name:t.reportName,filters:t.filters,generated_html:t.html,created_by:t.createdBy});if(s)throw s}const Ps={executive:"Executive Acquisition Report",aggressive:"Aggressive Sourcing Report",risk:"Acquisition Risk Report","model-scorec
234ard":"Model Scorecard Report","trim-detail":"Trim Detail Report"},Ma={executive:10,aggressive:15,risk:15,"model-scorecard":18,"trim-detail":18},Wl=8,Ws=(t,s)=>Math.min(Ma[s],t.maxRows??Number.POSITIVE_INFINITY),me=t=>String(t??"").replace(/&/g,"&").replace(/</g,"<").replace(/>/g,">").replace(/"/g,"""),yt=t=>`<span class="${Tt(t)?"neg":""}">${me(ze(t))}</span>`,Yl=` 235:root{--navy:#17365D;--blue:#1F4E78;--row:#D9EAF7;--good:#E2F0D9;--goodtext:#2F641C;--risk:#FCE4D6;--warn:#FFF2CC;--ink:#333333;} 236*{box-sizing:border-box;} 237html,body{margin:0;padding:0;background:#ffffff;color:var(--ink);font-family:Arial,Helvetica,sans-serif;} 238body{-webkit-print-color-adjust:exact;print-color-adjust:exact;} 239.print-page{box-sizing:border-box;width:10.4in;height:7.9in;overflow:hidden;margin:0 auto;padding:0;background:#fff;} 240.hdr{display:flex;justify-content:space-between;align-items:flex-end;border-bottom:2.5pt solid var(--navy);padding-bottom:4pt;margin-bottom:6pt;} 241.hdr h1{margin:0;font-size:15pt;color:var(--navy);letter-spacing:.3pt;} 242.hdr .brand{font-size:8pt;font-weight:bold;color:var(--blue);letter-spacing:1.2pt;text-transform:uppercase;} 243.hdr .meta{text-align:right;font-size:8pt;line-height:1.35;color:#555;} 244.hdr .meta strong{color:var(--navy);font-size:9.5pt;} 245.kpis{display:flex;gap:5pt;margin-bottom:6pt;} 246.kpi{flex:1;border:0.75pt solid #c9d7e6;border-top:2.5pt solid var(--blue);background:#f7fafd;padding:3.5pt 5pt;} 247.kpi .l{font-size:6.8pt;text-transform:uppercase;letter-spacing:.4pt;color:#5a6b7d;} 248.kpi .v{font-size:12.5pt;font-weight:bold;color:var(--navy);line-height:1.15;} 249.concl{background:var(--good);border-left:3.5pt solid var(--goodtext);padding:4.5pt 6pt;margin-bottom:6pt;} 250.concl .t{font-size:7pt;font-weight:bold;text-transform:uppercase;letter-spacing:.5pt;color:var(--goodtext);margin-bottom:1.5pt;} 251.concl p{margin:0;font-size:8.4pt;line-height:1.32;color:#22331a;} 252h2{font-size:8.4pt;margin:0 0 2.5pt;color:var(--navy);text-transform:uppercase;letter-spacing:.5pt;border-bottom:0.75pt solid #c9d7e6;padding-bottom:1.5pt;} 253table{width:100%;border-collapse:collapse;table-layout:fixed;font-size:7.6pt;} 254th{background:var(--navy);color:#fff;text-align:left;padding:2pt 3pt;font-size:7pt;font-weight:bold;} 255td{padding:1.7pt 3pt;border-bottom:0.5pt solid #dfe7ef;overflow:hidden;text-overflow:ellipsis;white-space:nowrap;} 256tbody tr:nth-child(even) td{background:var(--row);} 257.num{text-align:right;} 258.neg{color:#C00000;} 259.tag{font-size:6.6pt;padding:0.5pt 2.5pt;border-radius:2pt;font-weight:bold;} 260.tag.high{background:var(--good);color:var(--goodtext);} 261.tag.med{background:var(--warn);color:#7f6000;} 262.tag.low{background:var(--risk);color:#943c1e;} 263.tag.avoid{background:var(--risk);color:#943c1e;} 264.tag.risk-high{background:var(--risk);color:#943c1e;} 265.tag.watch{background:var(--warn);color:#7f6000;} 266.tag.normal{background:var(--good);color:var(--goodtext);} 267.cols{display:flex;gap:7pt;} 268.cols>div{flex:1;min-width:0;} 269.findings{margin:0;padding-left:11pt;font-size:7.6pt;line-height:1.35;} 270.findings li{margin-bottom:1.5pt;} 271.note{font-size:6.8pt;color:#5a6b7d;line-height:1.3;margin-top:4pt;} 272.ftr{position:relative;margin-top:5pt;border-top:0.75pt solid #c9d7e6;padding-top:3pt;display:flex;justify-content:space-between;font-size:6.8pt;color:#5a6b7d;} 273tr,td,th{break-inside:avoid;page-break-inside:avoid;} 274@page{size:Letter landscape;margin:0.30in;} 275@media print{ 276 html,body{width:11in;height:8.5in;margin:0;padding:0;overflow:hidden;} 277 .no-print{display:none !important;} 278 .print-page{width:10.4in;height:7.9in;overflow:hidden;page-break-after:avoid;break-after:avoid-page;} 279} 280`,Ta=t=>`<span class="tag ${t==="High"?"high":t==="Medium"?"med":"low"}">${me(t)}</span>`,Da=t=>`<span class="tag ${t==="Avoid"?"avoid":t==="High"?"risk-high":t==="Watch"?"w
280atch":"normal"}">${me(t)}</span>`;function Ys(t,s){return`<div class="hdr"> 281 <div><div class="brand">INTEL360</div><h1>${me(s)}</h1></div> 282 <div class="meta"><strong>${me(t.dealershipName)}</strong><br>${me(t.reportPeriod)}<br>Generated ${me(t.generatedAt.toLocaleDateString("en-US",{year:"numeric",month:"short",day:"numeric"}))}${t.filterSummary?`<br>${me(t.filterSummary)}`:""}</div> 283</div>`}function Hs(t){return'<div class="ftr"><div>Based on the sold dates shown above. Results identify where to source; they do not establish a VIN-level bid.</div><div>Page 1 of 1</div></div>'}function wr(t){const s=t.kpis,a=[[`Units sold (${cs(t.periodMonths)})`,le(s.unitsSold)],["Vs. prior year",bt(s.changeVsPriorYear)],["Avg. age at sale",`${Ve(s.averageAge)} days`],["Avg. front gross",ze(s.averageFrontGross)],["Avg. total gross",ze(s.averageTotalGross)],["Ford mix",bt(s.fordMix)]];return s.tradeRate!==null&&s.tradeRate!==void 0&&a.push(["Sales with a trade",bt(s.tradeRate)]),`<div class="kpis">${a.map(([r,n])=>`<div class="kpi"><div class="l">${me(r)}</div><div class="v">${me(n)}</div></div>`).join("")}</div>`}function Ra(t){return`<div class="concl"><div class="t">Acquisition conclusion</div><p>${me(t.conclusion)}</p></div>`}const ws=(t,s)=>s>t?`<div class="note">Showing top ${t} of ${s}.</div>`:"";function hr(t){return t.trims.filter(s=>s.sourcingTier==="Aggressively Source").sort((s,a)=>(s.priority??999)-(a.priority??999)||a.scores.total-s.scores.total)}function ur(t){const s={Avoid:0,High:1,Watch:2,Normal:3};return t.models.filter(a=>a.riskLevel!=="Normal").sort((a,r)=>s[a.riskLevel]-s[r.riskLevel]||(r.vehiclesSold??0)-(a.vehiclesSold??0))}function Hl(t,s){return`<ul class="findings">${t.slice(0,s).map(a=>`<li>${me(a.detail)}</li>`).join("")}</ul>`}function Kl(t){const s=(t.sourceRows??[]).slice(0,6);return s.length?`<h2 style="margin-top:6pt">Where these vehicles came from</h2> 284<table><colgroup><col style="width:34%"><col style="width:14%"><col style="width:14%"><col style="width:19%"><col style="width:19%"></colgroup> 285<thead><tr><th>Source</th><th class="num">Units</th><th class="num">Share</th><th class="num">Days</th><th class="num">Total</th></tr></thead> 286<tbody>${s.map(a=>`<tr><td>${me(a.source)}</td><td class="num">${le(a.units)}</td><td class="num">${me(bt(a.unitShare))}</td><td class="num">${Ve(a.averageAge)}</td><td class="num">${yt(a.averageTotalGross)}</td></tr>`).join("")}</tbody></table>`:""}function Ql(t){const s=t.analysis,a=hr(s).slice(0,Ws(t,"executive")),r=ur(s).slice(0,Math.min(Wl,t.maxRows??Number.POSITIVE_INFINITY));return`${Ys(t,"Used Vehicle Acquisition Analysis")} 287${wr(s)} 288${Ra(s)} 289<h2>Aggressively source â exact make, model and trim</h2> 290<table> 291<colgroup><col style="width:4%"><col style="width:12%"><col style="width:16%"><col style="width:18%"><col style="width:6%"><col style="width:7%"><col style="width:9%"><col style="width:9%"><col style="width:9%"><col style="width:10%"></colgroup> 292<thead><tr><th>#</th><th>Make</th><th>Model</th><th>Trim</th><th class="num">Sold</th><th class="num">Days</th><th class="num">Front</th><th class="num">Total</th><th class="num">45-day qty</th><th>Confidence</th></tr></thead> 293<tbody>${a.map((n,o)=>`<tr><td class="num">${n.priority??o+1}</td><td>${me(n.make)}</td><td>${me(n.model)}</td><td>${me(n.trim)}</td><td class="num">${le(n.vehiclesSold)}</td><td class="num">${Ve(n.averageAge)}</td><td class="num">${yt(n.averageFrontGross)}</td><td class="num">${yt(n.averageTotalGross)}</td><td class="num">${le(n.target45DayQuantity)}</td><td>${Ta(n.confidence)}</td></tr>`).join("")}</tbody></table> 294${ws(a.length,hr(s).length)} 295<div class="cols" style="margin-top:6pt"> 296<div><h2>Price discipline â avoid / high risk</h2> 297<table><colgroup><col style="width:34%"><col style="width:11%"><col style="width:12%"><col style="width:16%"><col style="width:16%"><col style="width:11%"></colgroup> 298<thead><tr><th>Model</th><th class="num">Sold</th><th class="num">Days</th><th class="num">Front</th><th class="num">Total</th><th>Risk</th></tr></thead> 299<tbody>${r.map(n=>`<tr><td>${me(`${n.make} ${n.model}`)}</td><td class="num">${le(n.vehiclesSold)}</td><td class="num">${Ve(n.averageAge)}</td><td class="num">${yt(n.averageFrontGross)}</td><td class="num">${yt(n.averageTotalGross)}</td><td>${Da(n.riskLevel)}</td></tr>`).join("")}</tbody></table> 300${ws(r.length,ur(s).length)} 301</div> 302<div><h2>Management findings</h2>${Hl(s.findings,5)} 303${Kl(t)} 304<div class="note">${me(Ss)}</div></div> 305</div> 306${Hs()}`}function Jl(t){var n;const s=t.analysis,a=hr(s),r=a.slice(0,Ws(t,"aggressive"));return`${Ys(t,"Aggressive Sourcing Report")} 307${Ra(s)} 308<h2>Aggressively source â exact make, model and trim</h2> 309<table> 310<colgroup><col style="width:3.5%"><col style="width:9%"><col style="width:12%"><col style="width:13%"><col style="width:5%"><col style="width:5.5%"><col style="width:6%"><col style="width:5.5%"><col style="width:8%"><col style="width:7.5%"><col style="width:7.5%"><col style="width:8.5%"><col style="width:5%"><col style="width:5%"></colgroup> 311<thead><tr><th>
311#</th><th>Make</th><th>Model</th><th>Trim</th><th class="num">${cs(t.analysis.periodMonths)}</th><th class="num">PY</th><th class="num">Pace</th><th class="num">Days</th><th class="num">PTM</th><th class="num">Front</th><th class="num">Total</th><th class="num">Est. ${cs(t.analysis.periodMonths)} gross</th><th class="num">Qty</th><th class="num">Score</th></tr></thead> 312<tbody>${r.map((o,i)=>`<tr><td class="num">${o.priority??i+1}</td><td>${me(o.make)}</td><td>${me(o.model)}</td><td>${me(o.trim)}</td><td class="num">${le(o.vehiclesSold)}</td><td class="num">${le(o.priorYearSold)}</td><td class="num">${Ve(o.monthlyPace,2)}</td><td class="num">${Ve(o.averageAge)}</td><td class="num">${js(o.ptm)}</td><td class="num">${yt(o.averageFrontGross)}</td><td class="num">${yt(o.averageTotalGross)}</td><td class="num">${yt(o.estimatedThreeMonthGross)}</td><td class="num">${le(o.target45DayQuantity)}</td><td class="num">${le(o.scores.total)}</td></tr>`).join("")}</tbody></table> 313${ws(r.length,a.length)} 314<div class="note" style="margin-top:5pt">Acquisition direction: ${me(((n=r[0])==null?void 0:n.acquisitionDirection)??"")}</div> 315<div class="note">${me(Ss)}</div> 316${Hs()}`}function Xl(t){const s=t.analysis,a=ur(s),r=a.slice(0,Ws(t,"risk"));return`${Ys(t,"Acquisition Risk Report")} 317${wr(s)} 318<h2>Price discipline and avoidance list</h2> 319<table> 320<colgroup><col style="width:9%"><col style="width:13%"><col style="width:5%"><col style="width:5.5%"><col style="width:8%"><col style="width:8%"><col style="width:6.5%"><col style="width:7%"><col style="width:19%"><col style="width:19%"></colgroup> 321<thead><tr><th>Make</th><th>Model</th><th class="num">${cs(t.analysis.periodMonths)}</th><th class="num">Days</th><th class="num">Front</th><th class="num">Total</th><th class="num">PTM</th><th>Risk</th><th>Acquisition action</th><th>Supporting reason</th></tr></thead> 322<tbody>${r.map(n=>`<tr><td>${me(n.make)}</td><td>${me(n.model)}</td><td class="num">${le(n.vehiclesSold)}</td><td class="num">${Ve(n.averageAge)}</td><td class="num">${yt(n.averageFrontGross)}</td><td class="num">${yt(n.averageTotalGross)}</td><td class="num">${js(n.ptm)}</td><td>${Da(n.riskLevel)}</td><td style="white-space:normal">${me(n.acquisitionAction)}</td><td style="white-space:normal">${me(n.riskReason)}</td></tr>`).join("")}</tbody></table> 323${ws(r.length,a.length)} 324<div class="note">${me(Ss)}</div> 325${Hs()}`}function Zl(t){const s=t.analysis,a=[...s.models].sort((n,o)=>o.scores.total-n.scores.total),r=a.slice(0,Ws(t,"model-scorecard"));return`${Ys(t,"Model Scorecard Report")} 326${wr(s)} 327<h2>Model acquisition scorecard</h2> 328<table> 329<colgroup><col style="width:9%"><col style="width:13%"><col style="width:4.5%"><col style="width:5%"><col style="width:5.5%"><col style="width:7.5%"><col style="width:7.5%"><col style="width:5%"><col style="width:5%"><col style="width:5%"><col style="width:5%"><col style="width:5%"><col style="width:5.5%"><col style="width:6.5%"><col style="width:11%"></colgroup> 330<thead><tr><th>Make</th><th>Model</th><th class="num">${cs(t.analysis.periodMonths)}</th><th class="num">PY</th><th class="num">Days</th><th class="num">Front</th><th class="num">Total</th><th class="num">Vol</th><th class="num">Turn</th><th class="num">Gross</th><th class="num">Frt</th><th class="num">Trend</th><th class="num">Score</th><th>Conf.</th><th>Recommendation</th></tr></thead> 331<tbody>${r.map(n=>`<tr><td>${me(n.make)}</td><td>${me(n.model)}</td><td class="num">${le(n.vehiclesSold)}</td><td class="num">${le(n.priorYearSold)}</td><td class="num">${Ve(n.averageAge)}</td><td class="num">${yt(n.averageFrontGross)}</td><td class="num">${yt(n.averageTotalGross)}</td><td class="num">${n.scores.volume}</td><td class="num">${n.scores.turn}</td><td class="num">${n.scores.gross}</td><td class="num">${n.scores.front}</td><td class="num">${n.scores.trend}</td><td class="num"><b>${n.scores.total}</b></td><td>${Ta(n.confidence)}</td><td>${me(n.recommendation)}</td></tr>`).join("")}</tbody></table> 332${ws(r.length,a.length)} 333<div class="note">${me(Ss)}</div> 334${Hs()}`}function ei(t){const s=t.analysis,a=[...s.trims].sort((n,o)=>(n.priority??999)-(o.priority??999)||o.scores.total-n.scores.total),r=a.slice(0,Ws(t,"trim-detail"));return`${Ys(t,"Trim Detail Report")} 335${wr(s)} 336<h2>Trim-level results and sourcing score</h2> 337<table> 338<colgroup><col style="width:8%"><col style="width:11%"><col style="width:12%"><col style="width:4.5%"><col style="width:4.5%"><col style="width:5%"><col style="width:6%"><col style="width:7%"><col style="width:7%"><col style="width:7%"><col style="width:4.5%"><col style="width:5%"><col style="width:18.5%"></colgroup> 339<thead><tr><th>
339Make</th><th>Model</th><th>Trim</th><th class="num">${cs(t.analysis.periodMonths)}</th><th class="num">PY</th><th class="num">Days</th><th class="num">PTM</th><th class="num">List</th><th class="num">Front</th><th class="num">Total</th><th class="num">Qty</th><th class="num">Score</th><th>Sourcing tier</th></tr></thead> 340<tbody>${r.map(n=>`<tr><td>${me(n.make)}</td><td>${me(n.model)}</td><td>${me(n.trim)}</td><td class="num">${le(n.vehiclesSold)}</td><td class="num">${le(n.priorYearSold)}</td><td class="num">${Ve(n.averageAge)}</td><td class="num">${js(n.ptm)}</td><td class="num">${yt(n.averageListPrice)}</td><td class="num">${yt(n.averageFrontGross)}</td><td class="num">${yt(n.averageTotalGross)}</td><td class="num">${le(n.target45DayQuantity)}</td><td class="num">${le(n.scores.total)}</td><td>${me(n.sourcingTier)}</td></tr>`).join("")}</tbody></table> 341${ws(r.length,a.length)} 342<div class="note">${me(Ss)}</div> 343${Hs()}`}function ti(t,s){switch(t){case"aggressive":return Jl(s);case"risk":return Xl(s);case"model-scorecard":return Zl(s);case"trim-detail":return ei(s);default:return Ql(s)}}function Pa(t,s){return`<!DOCTYPE html> 344<html lang="en"><head><meta charset="utf-8"> 345<meta name="viewport" content="width=device-width, initial-scale=1"> 346<title>${me(Ps[t])} â ${me(s.dealershipName)}</title> 347<style>${Yl} 348@media screen{body{background:#eef2f7;padding:12px;}.print-page{box-shadow:0 2px 12px rgba(0,0,0,.18);}} 349</style></head> 350<body><div class="print-page">${ti(t,s)}</div></body></html>`}const Rr=t=>[t.modelYear??"",t.make??"",t.model??"",t.trim??""].join(" ").replace(/\s+/g," ").trim()||"â",si=["Stock #","VIN","Vehicle","Source","Sold date","Days to sale","Sale price","Front gross","Total gross"],ri=t=>{const s=t==null?"":String(t);return/[",\n]/.test(s)?`"${s.replace(/"/g,'""')}"`:s},ai=t=>[t.stockNumber,t.vin,Rr(t),t.source??"Unknown",t.soldDate,t.daysInInventory,t.transactionPrice,t.frontGross,t.totalGross].map(ri).join(",");function ni({open:t,onOpenChange:s,title:a,valueLabel:r,records:n,priorRecords:o,priorLabel:i}){const m=v.useMemo(()=>[si.join(","),...n.map(ai)].join(` 351`),[n]),g=()=>{const k=new Blob([m],{type:"text/csv;charset=utf-8"}),C=URL.createObjectURL(k),x=document.createElement("a");x.href=C,x.download=`${a.toLowerCase().replace(/[^a-z0-9]+/g,"-")}-vehicles.csv`,x.click(),URL.revokeObjectURL(C)},f=k=>k.map((C,x)=>e.jsxs(q,{children:[e.jsx(c,{className:"whitespace-nowrap",children:C.stockNumber??"â"}),e.jsx(c,{className:"whitespace-nowrap font-mono text-xs",children:C.vin??"â"}),e.jsx(c,{className:"min-w-[190px]",children:Rr(C)}),e.jsx(c,{className:"whitespace-nowrap",children:C.source??"Unknown"}),e.jsx(c,{className:"whitespace-nowrap",children:C.soldDate??"â"}),e.jsx(c,{className:"text-right",children:Ve(C.daysInInventory)}),e.jsx(c,{className:"text-right",children:ze(C.transactionPrice)}),e.jsx(c,{className:`text-right ${Tt(C.frontGross)?"text-red-400":""}`,children:ze(C.frontGross)}),e.jsx(c,{className:`text-right ${Tt(C.totalGross)?"text-red-400":""}`,children:ze(C.totalGross)})]},`${C.stockNumber??C.vin??"row"}-${x}`)),j=k=>k.map((C,x)=>e.jsxs("div",{className:"rounded-lg border border-white/10 bg-white/[0.02] p-3",children:[e.jsx("div",{className:"text-sm font-semibold text-foreground",children:Rr(C)}),e.jsxs("div",{className:"mt-0.5 text-xs text-muted-foreground",children:[C.stockNumber??"â"," · ",C.source??"Unknown"," · ",C.soldDate??"â"]}),e.jsxs("div",{className:"mt-2 grid grid-cols-2 gap-1 text-xs",children:[e.jsx("span",{className:"text-muted-foreground",children:"Days to sale"}),e.jsx("span",{className:"text-right text-foreground",children:Ve(C.daysInInventory)}),e.jsx("span",{className:"text-muted-foreground",children:"Sale price"}),e.jsx("span",{className:"text-right text-foreground",children:ze(C.transactionPrice)}),e.jsx("span",{className:"text-muted-foreground",children:"Front gross"}),e.jsx("span",{className:`text-right ${Tt(C.frontGross)?"text-red-400":"text-foreground"}`,children:ze(C.frontGross)}),e.jsx("span",{className:"text-muted-foreground",children:"Total gross"}),e.jsx("span",{className:`text-right ${Tt(C.totalGross)?"text-red-400":"text-foreground"}`,children:ze(C.totalGross)})]})]},`${C.stockNumber??C.vin??"card"}-${x}
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E=0;E<nt.length;E+=ft){const Ye=nt.slice(E,E+ft),{error:dt}=await ne.from("wholesale360_lots").insert(Ye);if(dt)throw dt;_(60+Math.round((E+Ye.length)/nt.length*30))}}catch(E){await ne.from("wholesale360_runs").delete().eq("id",jt.id);const Ye=(E==null?void 0:E.message)||String(E);throw console.error("Manheim lot insert failed:",E),new Error(`Lot insert failed: ${Ye}`)}for(const E of Cs.values()){const Ye=ne.from("wholesale360_dealer_aliases").select("id").eq("organization_id",Z);if(E.dealer_code)Ye.eq("dealer_code",E.dealer_code);else if(E.dealer_name)Ye.is("dealer_code",null).eq("dealer_name",E.dealer_name);else continue;const{data:dt}=await Ye.limit(1);(!dt||dt.length===0)&&await ne.from("wholesale360_dealer_aliases").insert({organization_id:Z,dealer_code:E.dealer_code,dealer_name:E.dealer_name,dealership_id:E.dealership_id,source:"Manheim"})}await ne.from("wholesale360_runs").update({total_lots:Y.length,sold_lots:us,no_sale_lots:ms,total_profit_loss:ve,needs_review:nt.some(E=>E.needs_review)}).eq("id",jt.id),_(100);const qt=Array.from(Cs.values()).filter(E=>!E.dealership_id).length;o({title:"Manheim CSV imported",description:`${Y.length} lots â ${us} sold / ${ms} no-sale`+(qt>0?` ⢠${qt} seller${qt===1?"":"s"} need mapping (Seller Aliases tab)`:"")}),await ye(),u("runs")}catch(O){console.error(O),o({title:"Upload failed",description:(O==null?void 0:O.message)||String(O),variant:"destructive"})}finally{M(!1),window.setTimeout(()=>_(0),1200),f.current&&(f.current.value="")}}async function St(l){if(H.has(l))return;F(Q=>new Set(Q).add(l));const b=Date.now(),O=15*60*1e3;try{for(;Date.now()-b<O;){await new Promise(Z=>setTimeout(Z,4e3));const{data:Q}=await ne.from("wholesale360_runs").select("status, total_lots, sold_lots, no_sale_lots, error_message, updated_at").eq("id",l).maybeSingle();if(Q){if(await 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ne.from("wholesale360_runs").update({status:"processing",error_message:`${mr}${JSON.stringify({phase:"starting",current:0,total:0,failed:0,lots:0})}`,total_lots:0,sold_lots:0,no_sale_lots:0,total_profit_loss:0}).eq("id",l.id),ne.functions.invoke("parse-wholesale360-pdf",{body:{run_id:l.id,storage_path:l.storage_path,reset:!0}}).catch(b=>console.warn("parser invoke warning:",b)),o({title:"Reprocessing started",description:`Re-parsing ${l.file_name} in the background.`}),await ye(),St(l.id)}function pt(l){if(l.status!=="processing")return!1;const b=new Date(l.updated_at||l.created_at).getTime();return Date.now()-b>3*60*1e3}const ot=v.useMemo(()=>{const l=new Map;for(const b of j)l.set(b.id,b);return l},[j]),at=v.useMemo(()=>{let l=$?k.filter(O=>O.run_id===$.id):k;if(P!=="__all__"&&(l=l.filter(O=>(O.appraiser??"â")===P)),!ue.trim())return l;const b=ue.trim().toLowerCase();return l.filter(O=>{var Q,Z,J,R,Y;return((Q=O.vin)==null?void 0:Q.toLowerCase().includes(b))||((Z=O.stock_number)==null?void 0:Z.toLowerCase().includes(b))||((J=O.dealer_code)==null?void 0:J.toLowerCase().includes(b))||((R=O.dealer_name)==null?void 0:R.toLowerCase().includes(b))||((Y=O.appraiser)==null?void 0:Y.toLowerCase().includes(b))||fs(O).toLowerCase().includes(b)})},[k,ue,$,P]),oe=v.useMemo(()=>{var O;const l=$?k.filter(Q=>Q.run_id===$.id):k,b=new Map;for(const Q of l){const Z=((O=Q.appraiser)==null?void 0:O.trim())||"â";b.set(Z,(b.get(Z)??0)+1)}return Array.from(b.entries()).sort((Q,Z)=>Q[0].localeCompare(Z[0])).map(([Q,Z])=>({name:Q,count:Z}))},[k,$]);v.useMemo(()=>{const l=at.filter(Z=>Z.sale_price!==null).length,b=at.length-l,O=at.reduce((Z,J)=>Z+(J.sale_price!==null&&J.floor_price!==null?J.sale_price-J.floor_price:0),0),Q=l>0?O/l:0;return{sold:l,noSale:b,totalPL:O,avgPL:Q}},[at]);const Rt=v.useMemo(()=>{const l=at.length,b=at.filter(R=>R.sale_price!==null).length,O=at.reduce((R,Y)=>
351R+(Y.floor_price??0),0),Q=at.reduce((R,Y)=>R+(Y.sale_price??0),0),Z=at.reduce((R,Y)=>R+(Y.sale_price!==null&&Y.floor_price!==null?Y.sale_price-Y.floor_price:0),0),J=b>0?Z/b:0;return{appraisals:l,sold:b,totalFloor:O,totalSale:Q,netPL:Z,avgPL:J}},[at]),as=v.useMemo(()=>{var J,R,Y,Ie,Se;const l=new Map;for(const Re of at){const He=kr(Re.dealer_code,Re.dealer_name);let Ge=l.get(He);Ge||(Ge={key:He,dealer_code:((J=Re.dealer_code)==null?void 0:J.trim())||"â",dealer_name:((R=Re.dealer_name)==null?void 0:R.trim())||"",lots:[],lots_count:0,sold:0,no_sale:0,total_sale:0,total_net:0,profit_loss:0},l.set(He,Ge));const gt=((Y=Re.dealer_name)==null?void 0:Y.trim())??"";gt.length>Ge.dealer_name.length&&(Ge.dealer_name=gt),(Ge.dealer_code==="â"||!Ge.dealer_code)&&((Ie=Re.dealer_code)!=null&&Ie.trim())&&(Ge.dealer_code=Re.dealer_code.trim()),Ge.lots.push(Re),Ge.lots_count+=1,Re.sale_price!=null?(Ge.sold+=1,Ge.total_sale+=Number(Re.sale_price)||0):Ge.no_sale+=1,Ge.total_net+=Number(Re.net_check_to_dealer)||0,Ge.profit_loss+=Ft(Re,(Se=ot.get(Re.run_id??""))==null?void 0:Se.source)??0}const b=Array.from(l.values()),{key:O,dir:Q}=G,Z=Q==="asc"?1:-1;return b.sort((Re,He)=>{const Ge=jt=>O==="sell_rate"?jt.lots_count?jt.sold/jt.lots_count:0:jt[O],gt=Ge(Re),hs=Ge(He);return typeof gt=="string"?gt.localeCompare(hs)*Z:((gt??0)-(hs??0))*Z}),b},[at,G]),Ue=v.useMemo(()=>ie?as.find(l=>l.key===ie)??null:null,[ie,as]),Vt=v.useMemo(()=>{const l=new Map;for(const b of x){if($&&b.run_id!==$.id||b.scope!=="STORE")continue;const O=kr(b.store_code,b.store_name);if(!O||O==="UNKNOWN")continue;(!l.get(O)||b.stat_source==="ADESA_PRINTED")&&l.set(O,b)}return l},[x,$]);function d(l){const b=Vt.get(l.key);if(!b)return null;const O=b.listed!=null?b.listed-l.lots_count:0,Q=b.sold!=null?b.sold-l.sold:0;return{reportListed:b.listed,reportSold:b.sold,listedGap:O,soldGap:Q,incomplete:O>0||Q>0}}async function V(l){const b=(l.page_gaps??[]).map(O=>Number(O.page)).filter(O=>Number.isFinite(O)&&O>=1);if(!l.storage_path||b.length===0){o({title:"Nothing to re-read",description:"No incomplete pages were recorded for this file."});return}ne.functions.invoke("parse-wholesale360-pdf",{body:{run_id:l.id,storage_path:l.storage_path,reset:!1,pages:b}}).catch(O=>console.warn("re-read invoke warning:",O)),o({title:"Re-reading pages",description:`Reading ${b.length} incomplete page(s) again in the background.`}),St(l.id)}function K(l){I(b=>b.key===l?{key:l,dir:b.dir==="asc"?"desc":"asc"}:{key:l,dir:"desc"})}const Fe=v.useMemo(()=>{var Z;const l=new Map;for(const J of at){const R=(J.dealer_code??"").trim(),Y=(J.dealer_name??"").trim(),Ie=kr(R,Y);let Se=l.get(Ie);if(Se||(Se={key:Ie,dealer_code:R||"â",dealer_name:Y||"Unknown",lots_run:0,sold:0,no_sale:0,sell_through:0,total_sale_price:0,total_net:0,total_fees:0,profit_loss:0,avg_pl:0},l.set(Ie,Se)),(Y.length>Se.dealer_name.length||Se.dealer_name==="Unknown")&&(Se.dealer_name=Y||Se.dealer_name),(Se.dealer_code==="â"||!Se.dealer_code)&&R&&(Se.dealer_code=R),Se.lots_run+=1,J.sold||J.sale_price!==null){Se.sold+=1,Se.total_sale_price+=J.sale_price??0,Se.total_net+=J.net_check_to_dealer??0,Se.total_fees+=J.auction_fee??0;const He=Ft(J,(Z=ot.get(J.run_id??""))==null?void 0:Z.source)??0;Se.profit_loss+=He}else Se.no_sale+=1}const b=Array.from(l.values()).map(J=>({...J,sell_through:J.lots_run>0?J.sold/J.lots_run*100:0,avg_pl:J.sold>0?J.profit_loss/J.sold:0})),{key:O,dir:Q}=w;return b.sort((J,R)=>{const Y=J[O],Ie=R[O];return typeof Y=="string"?Q==="asc"?Y.localeCompare(Ie):Ie.localeCompare(Y):Q==="asc"?Y-Ie:Ie-Y}),b},[at,w]),be=v.useMemo(()=>Fe.reduce((l,b)=>(l.lots_run+=b.lots_run,l.sold+=b.sold,l.no_sale+=b.no_sale,l.total_sale_price+=b.total_sale_price,l.total_net+=b.total_net,l.total_fees+=b.total_fees,l.profit_loss+=b.profit_loss,l),{lots_run:0,sold:0,no_sale:0,total_sale_price:0,total_net:0,total_fees:0,profit_loss:0}),[Fe]);function ct(l){T(b=>b.key===l?{key:l,dir:b.dir==="asc"?"desc":"asc"}:{key:l,dir:"desc"})}function ds(){const l=["Dealer Code","Dealer Name","Lots Run","Sold","No Sale","Sell-through %","Total Sale Price","Total Net to Dealer","Total Auction Fees","Profit/Loss","Avg P/L per Vehicle"],b=R=>{const Y=String(R??"");return/[",\n]/.test(Y)?`"${Y.replace(/"/g,'""')}"`:Y},O=[l.join(",")];for(const R of Fe)O.push([R.dealer_code,R.dealer_name,R.lots_run,R.sold,R.no_sale,R.sell_through.toFixed(1),R.total_sale_price.toFixed(2),R.total_net.toFixed(2),R.total_fees.toFixed(2),R.profit_loss.toFixed(2),R.avg_pl.toFixed(2)].map(b).join(","));const Q=new Blob([O.join(` 352`)],{type:"text/csv;charset=utf-8"}),Z=URL.createObjectURL(Q),J=document.createElement("a");J.href=Z,J.download=`wholesale360-dealer-summary-${new Date().toISOString().slice(0,10)}.csv`,J.click(),URL.revokeObjectURL(Z)}async function ns(){const l=he.trim().toUpperCase();if(l.length!==17){o({title:"Invalid VIN",description:"VIN must be 17 characters.",variant:"destructive"});return}st(!0);try{const{data:b,error:O}=await ne.functions.invoke("decode-vin",{body:{vin:l}});if(O)throw O;ge(b!=null&&b.year?String(b.year):""),se((b==null?void 0:b.make)||""),Oe((b==null?void 0:b.model)||""),ae((b==null?void 0:b.trim)||""),o({title:"VIN decoded",description:`${(b==null?void 0:b.year)??""} ${(b==null?void 0:b.make)??""} ${(b==null?void 0:b.model)??""}`.trim()})}catch(b){o({title:"Decode failed",description:(b==null?void 0:b.message)??"Could not decode VIN",variant:"destructive"})}finally{st(!1)}}const ts=v.useMemo(()=>{var us,ms;const l={rows:[],diag:{makeModel:0,afterYear:0,afterMiles:0,afterTrim:0,afterWindow:0}};if(!We)return l;const b=ve=>(ve??"").toLowerCase().replace(/[^a-z0-9]+/g," ").trim(),O=b(Me),Q=b(we),Z=b(je),J=parseInt(de,10),R=parseInt(re.replace(/[^\d]/g,""),10),Y=Math.max(0,parseInt(Nt,10)||0),Ie=Math.max(0,parseInt(te.replace(/[^\d]/g,""),10)||0);if(!O||!Q||!Number.isFinite(J)||!Number.isFinite(R))return l;const Se=Date.now()-60*24*60*60*1e3,Re=ve=>{if(!ve)return null;const[nt,ft,qt]=ve.split("-").map(E=>parseInt(E,10));return!nt||!ft||!qt?null:new Date(nt,ft-1,qt).getTime()},He={makeModel:0,afterYear:0,afterMiles:0,afterTrim:0,afterWindow:0}
352,Ge=Q.split(" ").filter(Boolean),gt=k.filter(ve=>{const nt=b(ve.make),ft=b(ve.model),qt=b(ve.trim);if(!nt||!ft||nt!==O||!(ft===Q||Ge.every(ss=>ft.includes(ss)))||(He.makeModel++,ve.year==null||ve.year<J-Y||ve.year>J+Y)||(He.afterYear++,ve.miles==null||ve.miles<R-Ie||ve.miles>R+Ie)||(He.afterMiles++,xt&&Z&&!`${qt} ${ft}`.includes(Z)))return!1;He.afterTrim++;const Ye=ve.run_id?ot.get(ve.run_id):void 0,dt=Re(Ye==null?void 0:Ye.sale_date),kt=ve.created_at?new Date(ve.created_at).getTime():null,ls=dt??kt;return ls==null||ls<Se?!1:(He.afterWindow++,!0)}),hs=ve=>(ve??"").toUpperCase().replace(/[^A-Z0-9]/g,""),jt=new Map,Ls=[];for(const ve of gt){const nt=hs(ve.vin);if(!nt){Ls.push(ve);continue}const ft=jt.get(nt);if(!ft){jt.set(nt,ve);continue}const qt=ft.sale_price!=null,E=ve.sale_price!=null;if(E!==qt){E&&jt.set(nt,ve);continue}const Ye=Re((us=ot.get(ft.run_id??""))==null?void 0:us.sale_date)??(ft.created_at?new Date(ft.created_at).getTime():0),dt=Re((ms=ot.get(ve.run_id??""))==null?void 0:ms.sale_date)??(ve.created_at?new Date(ve.created_at).getTime():0);if(dt!==Ye){dt>Ye&&jt.set(nt,ve);continue}const kt=Math.abs((ft.miles??0)-R);Math.abs((ve.miles??0)-R)<kt&&jt.set(nt,ve)}return{rows:[...jt.values(),...Ls].sort((ve,nt)=>Math.abs((ve.miles??0)-R)-Math.abs((nt.miles??0)-R)),diag:He}},[We,Me,we,je,de,re,Nt,te,xt,k,ot]),$t=ts.rows,ks=ts.diag,Et=v.useMemo(()=>{const l=$t.filter(R=>R.sale_price!=null),b=l.map(R=>Number(R.sale_price)).filter(R=>Number.isFinite(R)),O=l.map(R=>Number(R.net_check_to_dealer)).filter(R=>Number.isFinite(R)),Q=l.map(R=>Ft(R)).filter(R=>R!==null&&Number.isFinite(R)),Z=R=>R.length?R.reduce((Y,Ie)=>Y+Ie,0)/R.length:0,J=R=>{if(!R.length)return 0;const Y=[...R].sort((Se,Re)=>Se-Re),Ie=Math.floor(Y.length/2);return Y.length%2?Y[Ie]:(Y[Ie-1]+Y[Ie])/2};return{total:$t.length,sold:l.length,noSale:$t.length-l.length,avgPrice:Z(b),medianPrice:J(b),lowPrice:b.length?Math.min(...b):0,highPrice:b.length?Math.max(...b):0,avgNet:Z(O),avgPL:Z(Q)}},[$t]);function Ea(){if(!Me||!we||!de||!re){o({title:"Missing info",description:"Year, Make, Model, and Miles are required.",variant:"destructive"});return}fe(!0)}function Fa(){const l=["Sale Date","Year","Make","Model","Trim","Miles","Sale Price","Net to Dealer","P/L","Status","Lot #","Dealer","VIN"],b=R=>{const Y=String(R??"");return/[",\n]/.test(Y)?`"${Y.replace(/"/g,'""')}"`:Y},O=[l.join(",")];for(const R of $t){const Y=R.run_id?ot.get(R.run_id):void 0;O.push([(Y==null?void 0:Y.sale_date)??"",R.year??"",R.make??"",R.model??"",R.trim??"",R.miles??"",R.sale_price??"",R.net_check_to_dealer??"",Ft(R,Y==null?void 0:Y.source)??"",R.sale_price==null?"NO SALE":"SOLD",R.lot_number??"",R.dealer_name??R.dealer_code??"",R.vin??""].map(b).join(","))}const Q=new Blob([O.join(` 353`)],{type:"text/csv;charset=utf-8"}),Z=URL.createObjectURL(Q),J=document.createElement("a");J.href=Z,J.download=`wholesale360-vin-comps-${new Date().toISOString().slice(0,10)}.csv`,J.click(),URL.revokeObjectURL(Z)}return e.jsxs("div",{className:"min-h-screen p-4 md:p-8 space-y-6",children:[e.jsxs("header",{className:"flex flex-wrap items-center gap-4",children:[e.jsx(Za,{appName:"Wholesale 360",sizeClassName:"h-10 w-10",size:"md"}),e.jsxs("div",{className:"flex-1",children:[e.jsx("h1",{className:"text-2xl md:text-3xl font-semibold text-foreground",children:"intel360"}),e.jsxs("p",{className:"text-sm text-muted-foreground",children:["Vehicle sales intelligence â retail + wholesale VIN history â ",r]})]}),e.jsx(Sn,{}),e.jsx(Zt,{componentId:"wholesale360:button-upload-pdf",appName:"Wholesale 360",componentType:"button",componentLabel:"Upload Auction File",children:e.jsxs(ce,{onClick:()=>{var l;return(l=f.current)==null?void 0:l.click()},disabled:N,className:"bg-gradient-to-r from-[#2F80ED] to-[#1C5ED6] text-white",children:[e.jsx(Er,{className:"mr-2 h-4 w-4"}),N?"Processingâ¦":"Upload Auction File"]})}),e.jsx(on,{slug:cn.wholesale360LotRunSummary,label:"Lot Run 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Upload your first PDF to get started."}
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353)," within ±",Number(te).toLocaleString()," mi",xt&&e.jsxs(e.Fragment,{children:[" â ",e.jsx("span",{className:"text-foreground",children:ks.afterTrim})," trim match"]})," â ",e.jsx("span",{className:"text-foreground",children:ks.afterWindow})," in last 60 days"]}),e.jsx("div",{className:"text-xs",children:'Try widening the mileage or year tolerance, or unchecking "Trim must match".'})]}):i?e.jsx("div",{className:"divide-y divide-white/10",children:$t.map(l=>{const b=l.run_id?ot.get(l.run_id):void 0,O=Ft(l);return e.jsxs("button",{type:"button",className:"w-full text-left p-4 hover:bg-white/[0.04] active:bg-white/[0.06] min-h-[44px] space-y-2",onClick:()=>_e(l),children:[e.jsxs("div",{className:"flex items-start justify-between gap-2",children:[e.jsxs("div",{children:[e.jsx("div",{className:"text-sm font-medium text-foreground",children:fs(l)}),e.jsxs("div",{className:"text-xs text-muted-foreground",children:[sr((b==null?void 0:b.sale_date)??null)," · ",l.dealer_name??l.dealer_code??"â"]})]}),l.sale_price===null?e.jsx(Pe,{className:"bg-amber-500/15 text-amber-200 border-amber-500/30 shrink-0",children:"No Sale"}):e.jsx(Pe,{className:"bg-emerald-500/15 text-emerald-300 border-emerald-500/30 shrink-0",children:"Sold"})]}),e.jsxs("div",{className:"min-w-0 grid grid-cols-2 sm:grid-cols-3 gap-2 text-xs",children:[e.jsxs("div",{children:[e.jsx("span",{className:"text-muted-foreground",children:"Miles "}),e.jsx("span",{children:gs(l.miles)})]}),e.jsxs("div",{children:[e.jsx("span",{className:"text-muted-foreground",children:"Sale "}),e.jsx("span",{className:"font-medium",children:l.sale_price==null?"â":ee(l.sale_price)})]}),e.jsxs("div",{children:[e.jsx("span",{className:"text-muted-foreground",children:"P/L "}),e.jsx("span",{className:`font-medium ${O==null?"":O>=0?"text-emerald-300":"text-red-300"}`,children:ee(O)})]})]})]},l.id)})}):e.jsxs(ke,{children:[e.jsx(Le,{children:e.jsxs(q,{children:[e.jsx(h,{children:"Sale Date"}),e.jsx(h,{children:"Vehicle"}),e.jsx(h,{className:"text-right",children:"Miles"}),e.jsx(h,{className:"text-right",children:"Sale Price"}),e.jsx(h,{className:"text-right",children:"Net to Dealer"}),e.jsx(h,{className:"text-right",children:"P/L"}),e.jsx(h,{children:"Status"}),e.jsx(h,{children:"Dealer"}),e.jsx(h,{children:"Lot #"})]})}),e.jsx(Ce,{children:$t.map(l=>{const b=l.run_id?ot.get(l.run_id):void 0,O=Ft(l);return e.jsxs(q,{className:"cursor-pointer hover:bg-white/[0.04]",onClick:()=>_e(l),children:[e.jsx(c,{children:sr((b==null?void 0:b.sale_date)??null)}),e.jsxs(c,{children:[e.jsx("div",{children:fs(l)}),l.trim&&e.jsx("div",{className:"text-xs text-muted-foreground",children:l.trim})]}),e.jsx(c,{className:"text-right",children:gs(l.miles)}),e.jsx(c,{className:"text-right",children:l.sale_price===null?e.jsx("span",{className:"text-amber-300",children:"NO SALE"}):ee(l.sale_price)}),e.jsx(c,{className:"text-right",children:ee(l.net_check_to_dealer)}),e.jsx(c,{className:`text-right font-medium ${O==null?"":O>=0?"text-emerald-300":"text-red-300"}`,children:ee(O)}),e.jsx(c,{children:l.sale_price===null?e.jsx(Pe,{className:"bg-amber-500/15 text-amber-200 border-amber-500/30",children:"No Sale"}):e.jsx(Pe,{className:"bg-emerald-500/15 text-emerald-300 border-emerald-500/30",children:"Sold"})}),e.jsx(c,{className:"text-sm",children:l.dealer_name??l.dealer_code??"â"}),e.jsx(c,{className:"font-mono text-xs",children:l.lot_number??"â"})]},l.id)})})]})})})]})]}),e.jsx(ut,{value:"aliases",className:"mt-4",children:e.jsx(Rn,{})}),e.jsx(ut,{value:"reports",className:"mt-4",children:e.jsx(Pn,{})})]}),e.jsx(Cr,{open:!!B,onOpenChange:l=>!l&&_e(null),children:e.jsxs($r,{side:i?"bottom":"right",className:i?"h-[90vh] overflow-y-auto rounded-t-2xl":"w-full sm:max-w-xl overflow-y-auto",children:[e.jsx(Ar,{children:e.jsxs("div",{className:"flex items-start justify-between gap-3 pr-8",children:[e.jsx(Mr,{children:B?fs(B):""}),B&&e.jsxs(ce,{size:"sm",variant:"outline",onClick:()=>vn(B,Ft(B)),children:[e.jsx(Is,{className:"h-4 w-4 mr-2"}),"Print"]})]})}),B&&e.jsxs("div",{className:"mt-6 space-y-5 text-sm",children:[e.jsxs(rr,{title:"Selling Dealer",children:[e.jsx(et,{label:"Dealer Code",value:B.dealer_code,mono:!0}),e.jsx(et,{label:"Dealer Name",value:B.dealer_name})]}),e.jsxs(rr,{title:"Vehicle",children:[e.jsx(et,{label:"VIN",value:
353B.vin,mono:!0}),e.jsx(et,{label:"Stock #",value:B.stock_number,mono:!0}),e.jsx(et,{label:"Color",value:B.color}),e.jsx(et,{label:"Miles",value:gs(B.miles)}),e.jsx(et,{label:"Title State",value:B.title_state})]}),e.jsxs(rr,{title:"Pricing",children:[e.jsx(et,{label:"Floor Price",value:ee(B.floor_price)}),e.jsx(et,{label:"Sale Price",value:B.sale_price===null?"NO SALE":ee(B.sale_price),tone:B.sale_price===null?"amber":void 0}),e.jsx(et,{label:"Auction Fee",value:ee(B.auction_fee)}),e.jsx(et,{label:"Net Check to Dealer",value:ee(B.net_check_to_dealer)}),(()=>{const l=Ft(B);return e.jsx(et,{label:"Profit / Loss",value:ee(l),tone:l===null?void 0:l>=0?"green":"red"})})(),e.jsx(et,{label:"Local CV",value:ee(B.local_cv)}),e.jsx(et,{label:"National CV",value:ee(B.natl_cv)}),e.jsx(et,{label:"Guidebook",value:ee(B.guidebook)}),e.jsx(et,{label:"Highest Bid",value:ee(B.highest_bid_amount)})]}),e.jsxs(rr,{title:"Condition",children:[e.jsx(et,{label:"Codes",value:B.condition_codes}),e.jsx(et,{label:"CR Comments",value:B.cr_comments}),e.jsx(et,{label:"Appraiser",value:B.appraiser}),e.jsx(et,{label:"Days in Inventory",value:gs(B.days_in_inventory)})]})]})]})})]})}function Be({label:t,value:s,icon:a,tone:r}){const n=r==="green"?"text-emerald-300":r==="red"?"text-red-300":"text-foreground";return e.jsxs($e,{className:"bg-white/[0.03] border-white/10",children:[e.jsxs(At,{className:"pb-2 flex flex-row items-center justify-between space-y-0",children:[e.jsx(Mt,{className:"text-xs uppercase tracking-wider text-muted-foreground",children:t}),e.jsx(a,{className:"h-4 w-4 text-muted-foreground"})]}),e.jsx(Ae,{children:e.jsx("div",{className:`text-2xl font-semibold ${n}`,children:s})})]})}function sa({status:t,message:s,stale:a}){const r=xi(s),n=pi(r);return t==="ready"?e.jsx(Pe,{className:"bg-emerald-500/15 text-emerald-300 border-emerald-500/30",children:"Ready"}):t==="processing"?a?e.jsxs(Pe,{className:"bg-amber-500/15 text-amber-200 border-amber-500/30 cursor-help",title:s??"Processing seems stuck â use Reprocess.",children:[e.jsx(lr,{className:"h-3 w-3 mr-1"}),"Stuck"]}):e.jsxs("div",{className:"min-w-[150px] space-y-1",title:(r==null?void 0:r.label)??s??"Processingâ¦",children:[e.jsxs(Pe,{className:"bg-sky-500/15 text-sky-300 border-sky-500/30 cursor-help",children:[e.jsx(es,{className:"h-3 w-3 mr-1 animate-spin"}),r!=null&&r.total?`Parsing ${n}%`:"Starting"]}),e.jsx(aa,{value:n,className:"h-1.5 bg-white/10"}),e.jsxs("div",{className:"text-[10px] text-muted-foreground",children:[r!=null&&r.total?`Chunk ${r.current}/${r.total}`:"Queued",r!=null&&r.failed?` ⢠${r.failed} skipped`:""]})]}):e.jsxs(Pe,{className:"bg-red-500/15 text-red-300 border-red-500/30 cursor-help",title:s??"Failed",children:[e.jsx(lr,{className:"h-3 w-3 mr-1"}),"Failed"]})}function Ds({children:t,tone:s}){const a=s==="red"?"bg-red-500/15 text-red-300 border-red-500/30":"bg-white/5 text-foreground/70 border-white/10";return e.jsx(Pe,{variant:"outline",className:`text-[10px] py-0 ${a}`,children:t})}function rr({title:t,children:s}){return e.jsxs("div",{children:[e.jsx("div",{className:"text-xs uppercase tracking-wider text-muted-foreground mb-2",children:t}),e.jsx("div",{className:"space-y-1.5 rounded-md border border-white/10 bg-black/20 p-3",children:s})]})}function et({label:t,value:s,mono:a,tone:r}){const n=r==="green"?"text-emerald-300":r==="red"?"text-red-300":r==="amber"?"text-amber-300":"text-foreground";return e.jsxs("div",{className:"flex justify-between gap-3",children:[e.jsx("span",{className:"text-muted-foreground",children:t}),e.jsx("span",{className:`${a?"font-mono":""} ${n}`,children:s??"â"})]})}export{Wi as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.