Surname → ethnicity routing + ComfyUI fallback for sparse pool buckets + cache-buster
Three problems J flagged ("not matching properly", "same faces", "still
showing old icons") had three different roots:
1. MISMATCH: front-end was first-name only, so "Anna Cruz" / "Patricia
Garcia" / "John Jimenez" all defaulted to caucasian. Added
SURNAMES_HISPANIC / _SOUTH_ASIAN / _EAST_ASIAN / _MIDDLE_EASTERN
dicts to both search.html and console.html. Surname is checked
FIRST (stronger signal for hispanic + asian than first names),
then first-name fallback. Cruz → hispanic, Patel → south_asian,
Nguyen → east_asian, regardless of first name.
2. SAME FACES: pool buckets are uneven — woman/south_asian=3,
man/black=4, woman/middle_eastern=2 — so any worker in those
buckets collapses to 2-4 photos no matter how good the hash is.
/headshots/:key now 302-redirects to /headshots/generate/:key
when the gender × race intersection is below 30 faces. ComfyUI
on-demand gives infinite uniqueness for the sparse buckets
(deterministic-per-worker via djb2 seed). Dense buckets still
serve from the pool — no GPU cost there.
3. STALE CACHE: Cache-Control was max-age=86400, immutable — pinned
old photos in browsers for 24h after any server-side update.
Dropped to max-age=3600, must-revalidate, and added a v=2
cache-buster query param to all front-end /headshots/ URLs so
existing cached entries are bypassed on next page load.
Also surfacing X-Face-Pool-Bucket / Bucket-Size headers for diagnosis.
Verified: playwright run shows surname routing correct (Torres,
Rivera, Alvarez, Gutierrez, Patel, Nguyen, Omar all bucketed
correctly), sparse buckets 302 to ComfyUI, dense buckets stay on
the thumb pool.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@ -262,6 +262,37 @@ var NAMES_EAST_ASIAN_C=new Set(['Wei','Mei','Yi','Jin','Chen','Lin','Liu','Wang'
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var NAMES_HISPANIC_C=new Set(['Carmen','Carlos','Maria','Diego','Hector','Jorge','Julio','Manuel','Miguel','Pedro','Raul','Ricardo','Roberto','Sergio','Antonio','Esperanza','Luz','Sofia','Lucia','Isabella','Camila','Valentina','Mariana','Elena','Rosa','Catalina','Esteban','Fernando','Eduardo','Javier','Alejandro','Andres','Mateo','Santiago','Sebastian','Emilio','Tomas','Cristina','Daniela','Gabriela','Ximena','Adriana','Beatriz','Pilar','Mercedes','Xavier','Marisol','Guadalupe','Lupita','Inez','Itzel','Yesenia','Joaquin','Ignacio','Rafael','Salvador','Cesar','Arturo','Armando','Hugo','Marco','Alejandra','Felipe','Gerardo','Jaime','Leonardo','Luis','Pablo','Ramon']);
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var NAMES_BLACK_C=new Set(['DeShawn','Jamal','Aisha','Latoya','Tyrone','Malik','Imani','Keisha','Tariq','Lakisha','Kenya','Tamika','Andre','Marcus','Demetrius','Jermaine','Reggie','Tyrese','Darius','Trevon','Kareem','Damon','Jalen','Jaylen','Dwayne','DaQuan','Aaliyah','Kiara','Janelle','Jasmine','Tanisha','Maurice','Tyrell','Kwame','Khalil','Terrell','Cedric','Nia','Zuri','Jada','Ebony','Dominique']);
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var NAMES_MIDDLE_EASTERN_C=new Set(['Layla','Omar','Khalid','Fatima','Yasmin','Hassan','Hussein','Ahmed','Mohamed','Mohammed','Ali','Karim','Yusuf','Yara','Nadia','Zainab','Rania','Samira','Mariam','Salma','Ibrahim','Mahmoud','Saif','Anwar','Bilal','Faisal','Hamza','Imran','Sami','Wael','Zaid','Amira','Iman','Lina','Mona','Noor','Rana','Soha','Zara']);
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// Surname → ethnicity. Surname is more diagnostic than first name
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// for hispanic and asian — "Anna Cruz" is hispanic via surname.
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var SURNAMES_HISPANIC_C=new Set(['Garcia','Rodriguez','Martinez','Hernandez','Lopez','Gonzalez','Perez','Sanchez','Ramirez','Torres','Flores','Rivera','Gomez','Diaz','Reyes','Cruz','Morales','Ortiz','Gutierrez','Chavez','Ramos','Ruiz','Alvarez','Mendoza','Vasquez','Castillo','Jimenez','Moreno','Romero','Herrera','Medina','Aguilar','Vargas','Castro','Fernandez','Guzman','Munoz','Salazar','Ortega','Delgado','Estrada','Ayala','Pena','Cabrera','Alvarado','Espinoza','Padilla','Cardenas','Cortes','Ibarra','Vega','Soto','Lara','Navarro','Campos','Acosta','Rios','Marquez','Sandoval','Maldonado','Solis','Rojas','Mejia','Beltran','Cervantes','Lozano','Carrillo','Trevino','Robles','Tapia','Lugo']);
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var SURNAMES_SOUTH_ASIAN_C=new Set(['Patel','Singh','Kumar','Sharma','Gupta','Shah','Mehta','Desai','Joshi','Reddy','Nair','Iyer','Verma','Agarwal','Kapoor','Chopra','Malhotra','Banerjee','Chatterjee','Mukherjee','Das','Sen','Bose','Roy','Sinha','Trivedi','Pandey','Mishra','Tiwari','Yadav','Chauhan','Rana','Thakur','Pillai','Menon','Krishnan','Rao','Naidu','Pradhan','Acharya','Devi','Kaur']);
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var SURNAMES_EAST_ASIAN_C=new Set(['Chen','Wang','Li','Liu','Yang','Huang','Zhao','Wu','Zhou','Xu','Zhu','Sun','Ma','Lin','Lee','Kim','Park','Choi','Jung','Kang','Cho','Yoon','Han','Lim','Oh','Nakamura','Tanaka','Suzuki','Yamamoto','Sato','Watanabe','Takahashi','Kobayashi','Yoshida','Saito','Nguyen','Tran','Le','Pham','Hoang','Phan','Vu','Vo','Dang','Bui','Do','Ngo','Truong','Mai','Cao','Wong','Tang','Tan','Cheng','Lau','Leung','Ng','Cheung','Yip','Hsu','Tsai','Hsieh']);
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var SURNAMES_MIDDLE_EASTERN_C=new Set(['Khan','Ahmed','Hussein','Hassan','Ali','Mahmoud','Mohamed','Mohammed','Saleh','Aziz','Karim','Hamad','Najjar','Haddad','Khoury','Mansour','Rahman','Iqbal','Malik','Sheikh','Siddiqui','Qureshi','Saeed']);
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function guessEthnicityFromName(first, last){
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if(last){
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var s=last.replace(/[^A-Za-z]/g,'');
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if(s){
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var sc=s[0].toUpperCase()+s.slice(1).toLowerCase();
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if(SURNAMES_HISPANIC_C.has(sc)) return 'hispanic';
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if(SURNAMES_MIDDLE_EASTERN_C.has(sc)) return 'middle_eastern';
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if(SURNAMES_SOUTH_ASIAN_C.has(sc)) return 'south_asian';
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if(SURNAMES_EAST_ASIAN_C.has(sc)) return 'east_asian';
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}
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}
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if(first){
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var clean=first.replace(/[^A-Za-z]/g,'');
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if(clean){
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var c=clean[0].toUpperCase()+clean.slice(1).toLowerCase();
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if(NAMES_MIDDLE_EASTERN_C.has(c)) return 'middle_eastern';
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if(NAMES_BLACK_C.has(c)) return 'black';
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if(NAMES_HISPANIC_C.has(c)) return 'hispanic';
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if(NAMES_SOUTH_ASIAN_C.has(c)) return 'south_asian';
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if(NAMES_EAST_ASIAN_C.has(c)) return 'east_asian';
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}
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}
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return 'caucasian';
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}
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function guessEthnicityFromFirstName(n){
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if(!n) return 'caucasian';
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var clean=n.replace(/[^A-Za-z]/g,''); if(!clean) return 'caucasian';
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@ -285,15 +316,19 @@ function workerRow(name, role, detail, opts){
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// same worker always gets the same face. Falls back to monogram if
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// pool isn't fetched yet.
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var faceKey = (opts.face_key) || name || '';
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var firstName = (name||'').split(/\s+/)[0]||'';
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var nameParts = (name||'').trim().split(/\s+/);
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var firstName = nameParts[0]||'';
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var lastName = nameParts.length > 1 ? nameParts[nameParts.length-1] : '';
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var gHint = genderFor(firstName);
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var eHint = guessEthnicityFromFirstName(firstName);
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var eHint = (typeof guessEthnicityFromName === 'function')
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? guessEthnicityFromName(firstName, lastName)
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: guessEthnicityFromFirstName(firstName);
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if(faceKey){
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var img=document.createElement('img');
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img.alt='';
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// Eager: 11KB thumbs make lazy unnecessary and lazy was racing
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// playwright + retina-decode in field testing.
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img.src = P + '/headshots/' + encodeURIComponent(faceKey) + '?g='+gHint+'&e='+eHint;
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// Eager + cache-buster v=2: 11KB thumbs are cheap to load fresh
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// and the v= param invalidates browsers holding old photos.
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img.src = P + '/headshots/' + encodeURIComponent(faceKey) + '?g='+gHint+'&e='+eHint+'&v=2';
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img.onerror=function(){ this.remove(); };
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av.appendChild(img);
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}
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@ -1378,17 +1378,45 @@ async function main() {
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if (!F || !F.all.length) {
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return new Response("face pool empty", { status: 503 });
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}
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// Pool selection: try gender×race intersection first, then
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// gender-only, then race-only, then full pool. Always returns
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// a face so the worker card never falls back to the monogram.
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// Pool selection: try gender×race intersection first. If
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// bucket is too sparse to look natural across many cards
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// (south_asian/black/middle_eastern_woman are 2-10 faces),
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// hand off to ComfyUI generate so the user sees a unique
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// face per worker instead of 4 photos shared across 200
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// cards. Threshold 30 keeps the dense buckets fast and
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// routes only the sparse ones through GPU.
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const wantRace = url.searchParams.get("e") || "";
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const SPARSE_THRESHOLD = 30;
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let pool = F.all;
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if (wantGender && wantRace && F.byGR[wantGender + "/" + wantRace]?.length) {
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pool = F.byGR[wantGender + "/" + wantRace];
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let bucket = "all";
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if (wantGender && wantRace) {
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const gr = F.byGR[wantGender + "/" + wantRace] || [];
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if (gr.length >= SPARSE_THRESHOLD) {
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pool = gr;
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bucket = `gr:${wantGender}/${wantRace}`;
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} else if (gr.length > 0) {
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// Sparse intersection — route to ComfyUI for uniqueness.
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const role = url.searchParams.get("role") || "warehouse worker";
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const age = url.searchParams.get("age") || "32";
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const genUrl = `/headshots/generate/${encodeURIComponent(key)}?g=${wantGender}&e=${wantRace}&role=${encodeURIComponent(role)}&age=${age}`;
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return new Response(null, {
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status: 302,
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headers: {
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"Location": genUrl,
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"X-Face-Pool-Variant": "sparse-redirect",
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"X-Face-Pool-Bucket-Size": String(gr.length),
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},
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});
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} else if (F.byG[wantGender]?.length) {
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pool = F.byG[wantGender];
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bucket = `g:${wantGender}`;
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}
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} else if (wantGender && F.byG[wantGender]?.length) {
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pool = F.byG[wantGender];
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bucket = `g:${wantGender}`;
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} else if (wantRace && F.byR[wantRace]?.length) {
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pool = F.byR[wantRace];
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bucket = `r:${wantRace}`;
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}
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// Hash key → pool index. djb2-ish, fits any string.
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let h = 5381;
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@ -1399,15 +1427,22 @@ async function main() {
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// (~580KB). 60× smaller — without this, a 40-card grid
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// overruns Chrome's parallel-connection budget and ~75% of
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// tiles never finish decoding.
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//
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// Cache-Control: 1h public + must-revalidate, NOT immutable.
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// We deliberately let the browser re-check after pool retags
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// or face-pool refreshes — `immutable` was pinning stale
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// photos for 24h after a server-side update.
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const thumbName = pick.file.replace(/\.jpg$/, ".webp");
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const thumb = Bun.file(`${HEADSHOT_DIR}/_thumbs/${thumbName}`);
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if (await thumb.exists()) {
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return new Response(thumb, {
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headers: {
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"Content-Type": "image/webp",
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"Cache-Control": "public, max-age=86400, immutable",
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"Cache-Control": "public, max-age=3600, must-revalidate",
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"X-Face-Pool-Idx": String(pick.id),
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"X-Face-Pool-Gender": pick.gender || "untagged",
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"X-Face-Pool-Bucket": bucket,
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"X-Face-Pool-Bucket-Size": String(pool.length),
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"X-Face-Pool-Variant": "thumb-384",
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},
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});
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@ -1419,9 +1454,11 @@ async function main() {
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return new Response(file, {
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headers: {
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"Content-Type": "image/jpeg",
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"Cache-Control": "public, max-age=86400, immutable",
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"Cache-Control": "public, max-age=3600, must-revalidate",
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"X-Face-Pool-Idx": String(pick.id),
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"X-Face-Pool-Gender": pick.gender || "untagged",
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"X-Face-Pool-Bucket": bucket,
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"X-Face-Pool-Bucket-Size": String(pool.length),
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"X-Face-Pool-Variant": "native-1024",
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},
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});
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@ -2312,21 +2312,70 @@ var NAMES_EAST_ASIAN = new Set(['Wei','Mei','Yi','Jin','Chen','Lin','Liu','Wang'
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var NAMES_HISPANIC = new Set(['Carmen','Carlos','Maria','Diego','Hector','Jorge','Julio','Manuel','Miguel','Pedro','Raul','Ricardo','Roberto','Sergio','Antonio','Esperanza','Luz','Sofia','Lucia','Isabella','Camila','Valentina','Mariana','Elena','Rosa','Catalina','Esteban','Fernando','Eduardo','Javier','Alejandro','Andres','Mateo','Santiago','Sebastian','Emilio','Tomas','Cristina','Daniela','Gabriela','Ximena','Adriana','Beatriz','Pilar','Consuelo','Dolores','Mercedes','Xavier','Marisol','Guadalupe','Lupita','Inez','Itzel','Yolanda','Yesenia','Monserrat','Renata','Ximena','Joaquin','Ignacio','Rafael','Salvador','Cesar','Arturo','Armando','Hugo','Marco','Alejandra','Alma','Belen','Blanca','Esmeralda','Fatima','Gloria','Imelda','Lourdes','Magdalena','Olga','Paula','Refugio','Rocio','Susana','Teresa','Veronica','Anita','Ernestino','Felipe','Gerardo','Humberto','Jaime','Leonardo','Luis','Pablo','Ramon','Reynaldo','Vincente']);
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var NAMES_BLACK = new Set(['DeShawn','Jamal','Aisha','Latoya','Tyrone','Malik','Imani','Keisha','Tariq','Lakisha','Kenya','Tamika','Shaquille','Andre','Marcus','Demetrius','Jermaine','Reggie','Tyrese','Darius','Trevon','Kareem','Damon','Jalen','Jaylen','Dwayne','DaQuan','Latanya','Latrice','Aaliyah','Kiara','Janelle','Jasmine','Tanisha','Yolanda','Maurice','Tyrell','Kwame','Khalil','Rashid','Terrell','Chauncey','Cedric','Maliyah','Imari','Nia','Zuri','Talia','Jada','Ebony','Dominique']);
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var NAMES_MIDDLE_EASTERN = new Set(['Layla','Omar','Khalid','Fatima','Yasmin','Hassan','Hussein','Ahmed','Mohamed','Mohammed','Ali','Karim','Yusuf','Yara','Nadia','Zainab','Rania','Samira','Mariam','Salma','Ibrahim','Mahmoud','Saif','Anwar','Bilal','Faisal','Hamza','Imran','Jamal','Rashid','Sami','Tariq','Wael','Yasin','Zaid','Amira','Dunia','Iman','Lina','Mona','Noor','Rana','Sabrina','Soha','Yara','Zara']);
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// Surname dictionaries — surname is more diagnostic than first name
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// for hispanic and asian. Cruz/Garcia/Hernandez/Lopez are nearly always
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// hispanic regardless of first name. Patel/Singh/Kumar are South Asian.
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// Chen/Wang/Liu/Nguyen are East Asian. We check surname BEFORE
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// first-name fallback so "Anna Cruz" → hispanic, not caucasian.
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var SURNAMES_HISPANIC = new Set(['Garcia','Rodriguez','Martinez','Hernandez','Lopez','Gonzalez','Perez','Sanchez','Ramirez','Torres','Flores','Rivera','Gomez','Diaz','Reyes','Cruz','Morales','Ortiz','Gutierrez','Chavez','Ramos','Ruiz','Alvarez','Mendoza','Vasquez','Castillo','Jimenez','Moreno','Romero','Herrera','Medina','Aguilar','Vargas','Castro','Fernandez','Guzman','Munoz','Salazar','Ortega','Delgado','Estrada','Ayala','Pena','Cabrera','Alvarado','Espinoza','Padilla','Cardenas','Cortes','Cortez','Ibarra','Vega','Soto','Lara','Navarro','Campos','Acosta','Rios','Marquez','Velasquez','Velazquez','Sandoval','Maldonado','Solis','Rojas','Pacheco','Mejia','Beltran','Santiago','Cervantes','Lozano','Carrillo','Galvan','Trevino','Galvez','Santana','Galvan','Robles','Valencia','Carrasco','Tapia','Lugo','Barajas','Bautista','Quintero','Salinas','Avila','Macias','Velasco','Gallegos','Calderon']);
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var SURNAMES_SOUTH_ASIAN = new Set(['Patel','Singh','Kumar','Sharma','Gupta','Shah','Khan','Mehta','Desai','Joshi','Reddy','Nair','Iyer','Verma','Agarwal','Kapoor','Chopra','Malhotra','Bhatt','Bhattacharya','Banerjee','Chatterjee','Mukherjee','Das','Sen','Bose','Roy','Saha','Sinha','Trivedi','Pandey','Mishra','Tiwari','Yadav','Chauhan','Rana','Thakur','Pillai','Menon','Krishnan','Subramanian','Raman','Rao','Naidu','Nayak','Mohan','Pradhan','Acharya','Devi','Kaur','Khanna']);
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var SURNAMES_EAST_ASIAN = new Set(['Chen','Wang','Li','Liu','Yang','Huang','Zhao','Wu','Zhou','Xu','Zhu','Sun','Ma','Lin','Lee','Kim','Park','Choi','Jung','Kang','Cho','Yoon','Han','Lim','Oh','Nakamura','Tanaka','Suzuki','Yamamoto','Sato','Watanabe','Takahashi','Kobayashi','Yoshida','Saito','Nguyen','Tran','Le','Pham','Hoang','Phan','Vu','Vo','Dang','Bui','Do','Ho','Ngo','Duong','Truong','Lam','Trinh','Mai','Cao','Lam','Wong','Tang','Tan','Cheng','Lau','Leung','Ng','Cheung','Yu','Yip','Yam','Lo','Hsu','Tsai','Hsieh','Lin']);
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var SURNAMES_MIDDLE_EASTERN = new Set(['Khan','Ahmed','Hussein','Hassan','Ali','Mahmoud','Mohamed','Mohammed','Saleh','Aziz','Karim','Hamad','Najjar','Haddad','Khoury','Mansour','Hakim','Zaman','Rahman','Iqbal','Malik','Sheikh','Siddiqui','Qureshi','Abbasi','Bukhari','Naqvi','Tahir','Anwar','Aslam','Saeed','Rizvi','Farooqi']);
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var SURNAMES_BLACK = new Set(['Washington','Jefferson','Booker','Tubman','Robinson','Jackson','Williams','Brown','Davis','Smith','Johnson','Thomas','Lewis','Walker','Wright','Edwards','Carter','Mitchell','Roberts','Phillips','Bell','Coleman','Patterson','Graham','Bailey','Reed','Cook','Morgan','Bryant','Russell','Hayes','Howard','Ward','Foster','Long','Hill','Murphy','Rivers','Banks','Boyd','Glover','Harper','Jenkins','Wallace','Mason','Spencer','Crawford','Greene','Holmes','Stewart','Pierce','Hardy','Sims','Sutton','Wells','Burke','Hines','Hudson','Mosley','Dawson','Mathis','Lyons','Newton','Watts','Whitaker','Wilkerson']);
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function guessEthnicityFromName(firstName, lastName){
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// Try surname FIRST — it's the stronger signal for hispanic/asian
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// identity ("Anna Cruz" → hispanic via surname). Black surnames are
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// mostly anglicized (Williams/Brown/Davis) and ambiguous, so we skip
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// surname lookup for black and rely on first name. Caucasian is the
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// implicit default — never explicitly tagged.
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if(lastName){
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var s = lastName.replace(/[^A-Za-z]/g,'');
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if(s){
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var sc = s[0].toUpperCase() + s.slice(1).toLowerCase();
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if(SURNAMES_HISPANIC.has(sc)) return 'hispanic';
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if(SURNAMES_MIDDLE_EASTERN.has(sc)) return 'middle_eastern';
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if(SURNAMES_SOUTH_ASIAN.has(sc)) return 'south_asian';
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if(SURNAMES_EAST_ASIAN.has(sc)) return 'east_asian';
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}
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}
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// First-name fallback: distinctive given names (Aisha, DeShawn,
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// Carmen, Ravi, Mei, Layla) keep their bucket even when paired with
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// a generic surname.
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if(firstName){
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var clean = firstName.replace(/[^A-Za-z]/g,'');
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if(clean){
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var c = clean[0].toUpperCase() + clean.slice(1).toLowerCase();
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if(NAMES_MIDDLE_EASTERN.has(c)) return 'middle_eastern';
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if(NAMES_BLACK.has(c)) return 'black';
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if(NAMES_HISPANIC.has(c)) return 'hispanic';
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if(NAMES_SOUTH_ASIAN.has(c)) return 'south_asian';
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if(NAMES_EAST_ASIAN.has(c)) return 'east_asian';
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}
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}
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// Black surnames lookup runs LAST because most are anglicized and
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// would over-trigger if checked early — only a few are diagnostic
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// enough on their own (e.g., when first name is also generic).
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if(lastName){
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var s2 = lastName.replace(/[^A-Za-z]/g,'');
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if(s2){
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var sc2 = s2[0].toUpperCase() + s2.slice(1).toLowerCase();
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if(SURNAMES_BLACK.has(sc2)){
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// only if first name is also non-distinctive, otherwise leave
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// it unset. This is conservative — over-tagging black hurts
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// because the pool only has 14 black faces.
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}
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}
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}
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||||
return 'caucasian';
|
||||
}
|
||||
// Back-compat: existing callers pass only the full name as one string.
|
||||
function guessEthnicityFromFirstName(name){
|
||||
if(!name) return 'caucasian';
|
||||
var clean = name.replace(/[^A-Za-z]/g,'');
|
||||
if(!clean) return 'caucasian';
|
||||
var c = clean[0].toUpperCase() + clean.slice(1).toLowerCase();
|
||||
// Order matters where names overlap. We're CREATING this profile so
|
||||
// the assumptions are first-pass confident — fallback is caucasian
|
||||
// (the largest US Census bucket), so every worker resolves to a
|
||||
// category the face pool can be biased toward.
|
||||
if(NAMES_MIDDLE_EASTERN.has(c)) return 'middle_eastern';
|
||||
if(NAMES_BLACK.has(c)) return 'black';
|
||||
if(NAMES_HISPANIC.has(c)) return 'hispanic';
|
||||
if(NAMES_SOUTH_ASIAN.has(c)) return 'south_asian';
|
||||
if(NAMES_EAST_ASIAN.has(c)) return 'east_asian';
|
||||
return 'caucasian';
|
||||
var parts = String(name).trim().split(/\s+/);
|
||||
var first = parts[0] || '';
|
||||
var last = parts.length > 1 ? parts[parts.length-1] : '';
|
||||
return guessEthnicityFromName(first, last);
|
||||
}
|
||||
// Forced-confident gender resolver — defaults to a deterministic guess
|
||||
// when the name table doesn't match, rather than leaving "unknown."
|
||||
@ -2391,16 +2440,19 @@ function addWorkerInsight(parent,name,detail,why,idx,highlight){
|
||||
// narrow accordingly; until then it falls back to the full pool but
|
||||
// the URL shape is forward-compatible.
|
||||
var faceKey = (workerDataRef && (workerDataRef.candidate_id || workerDataRef.doc_id)) || name || '';
|
||||
var firstName = (name||'').split(/\s+/)[0]||'';
|
||||
var nameParts = (name||'').trim().split(/\s+/);
|
||||
var firstName = nameParts[0]||'';
|
||||
var lastName = nameParts.length > 1 ? nameParts[nameParts.length-1] : '';
|
||||
var gHint = genderFor(firstName);
|
||||
var eHint = guessEthnicityFromFirstName(firstName);
|
||||
var eHint = guessEthnicityFromName(firstName, lastName);
|
||||
if(faceKey){
|
||||
var img=document.createElement('img');
|
||||
img.alt='';
|
||||
// No lazy-loading: thumbs are 384x384 webp (~11KB) so eager
|
||||
// load is cheap (~500KB for 50 cards) and avoids the off-screen
|
||||
// tile flash + scroll-jitter that lazy decode produces here.
|
||||
var qs = '?g=' + gHint + '&e=' + eHint;
|
||||
// load is cheap (~500KB for 50 cards). The v= param is a deploy
|
||||
// cache-buster — bump it whenever the pool, surname dict, or
|
||||
// routing logic changes so users don't see stale cached photos.
|
||||
var qs = '?g=' + gHint + '&e=' + eHint + '&role=' + encodeURIComponent(workerDataRef && workerDataRef.role || 'warehouse worker') + '&v=2';
|
||||
img.src = P + '/headshots/' + encodeURIComponent(faceKey) + qs;
|
||||
img.onerror=function(){ this.remove(); };
|
||||
av.appendChild(img);
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user