78a071ba02
Add persistent onion key backup and restore, improve startup resilience, and flesh out the major site verticals with richer navigation, search coverage, and operator documentation. Made-with: Cursor
116 lines
3.2 KiB
TypeScript
116 lines
3.2 KiB
TypeScript
/**
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* Deterministic “live” metrics per product id — stable across refresh/build.
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*/
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export type ProductTestimonial = {
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handle: string;
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text: string;
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rating: number;
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daysAgo: number;
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};
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export type ProductSocialMetrics = {
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avgRating: number;
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reviewCount: number;
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purchaseCount: number;
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/** Decorative hook — looks like marketplace activity */
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boughtLast24h: number;
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testimonials: ProductTestimonial[];
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};
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function hash32(s: string): number {
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let h = 2166136261;
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for (let i = 0; i < s.length; i++) {
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h ^= s.charCodeAt(i);
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h = Math.imul(h, 16777619);
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}
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return h >>> 0;
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}
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function pick<T>(arr: T[], seed: number): T {
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return arr[seed % arr.length]!;
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}
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const HANDLE_SUFFIXES = [
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"_void",
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"Buyer",
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"anon_op",
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"ledger_rat",
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"EU_mix",
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"PacificMesh",
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"tor_only",
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"no_logs_99",
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"ghost_cart",
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"relay_7",
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];
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const SNIPPETS: { text: string; r: number }[] = [
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{ text: "Sealed exactly as pictured. Seller answered in under an hour.", r: 5 },
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{ text: "Third order from this stall — consistent every time.", r: 5 },
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{ text: "A bit slow on weekend but tracking matched mirror policy.", r: 4 },
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{ text: "PGP match checked out. Product matches batch notes.", r: 5 },
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{ text: "Pricey vs clearnet dupes but opsec packaging is on point.", r: 4 },
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{ text: "Had a dispute; escrow released after proof — fair outcome.", r: 4 },
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{ text: "Arrived faster than quoted. Will re-up next drop.", r: 5 },
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{ text: "Not for everyone but description was honest — no BS.", r: 4 },
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{ text: "Comms terse but professional. Goods matched listing.", r: 5 },
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{ text: "Verified canary before order — same fingerprint as hub post.", r: 5 },
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{ text: "Mixed feelings on shipping lane but item intact.", r: 4 },
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{ text: "Solid vendor thread history. SKU lived up to hype.", r: 5 },
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];
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export function getProductSocialMetrics(productId: string): ProductSocialMetrics {
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const h = hash32(productId);
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const h2 = hash32(`${productId}:reviews`);
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const h3 = hash32(`${productId}:buyers`);
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const avgRating = Math.round((4.05 + (h % 90) / 100) * 100) / 100;
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const reviewCount = 24 + (h2 % 1_247);
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const purchaseCount = 180 + (h3 % 24_500);
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const boughtLast24h = 8 + (h2 % 214);
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let i1 = h % SNIPPETS.length;
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let i2 = (h2 + 5) % SNIPPETS.length;
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if (i2 === i1) i2 = (i2 + 1) % SNIPPETS.length;
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let i3 = (h3 + 11) % SNIPPETS.length;
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if (i3 === i1 || i3 === i2) i3 = (i3 + 1) % SNIPPETS.length;
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if (i3 === i1) i3 = (i3 + 1) % SNIPPETS.length;
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const t1 = SNIPPETS[i1]!;
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const t2 = SNIPPETS[i2]!;
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const t3 = SNIPPETS[i3]!;
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const mkHandle = (seed: number) => {
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const base = pick(["x", "q", "v", "k", "m", "s", "z", "r"], seed);
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return `${base}${(seed % 900) + 100}${pick(HANDLE_SUFFIXES, seed + 11)}`;
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};
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const testimonials: ProductTestimonial[] = [
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{
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handle: mkHandle(h),
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text: t1.text,
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rating: t1.r,
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daysAgo: 1 + (h % 6),
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},
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{
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handle: mkHandle(h2),
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text: t2.text,
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rating: t2.r,
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daysAgo: 7 + (h2 % 20),
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},
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{
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handle: mkHandle(h3),
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text: t3.text,
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rating: t3.r,
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daysAgo: 14 + (h3 % 45),
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},
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];
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return {
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avgRating,
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reviewCount,
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purchaseCount,
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boughtLast24h,
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testimonials,
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};
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}
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