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This ONLY surfaces *public*\n// pages — it never fabricates contacts or opportunities. Qualification happens\n// later in Gemini.\n\nexport interface DiscoveryHit {\n /** The public page URL this opportunity was found on. */\n url: string;\n title: string;\n /** Raw text snippet from the source, capped for the LLM. */\n snippet: string;\n source: string;\n fetchedAt: string;\n}\n\nconst USER_AGENT =\n \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36\";\n\n/** Product categories the hunter is trained to detect. */\nexport const PRODUCT_CATEGORIES = [\n \"sofa\",\n \"wardrobe\",\n \"bed\",\n \"kitchen cabinet\",\n \"office furniture\",\n \"hotel furniture\",\n \"salon furniture\",\n \"spa furniture\",\n \"construction furniture\",\n \"project furniture\",\n \"furniture\",\n] as const;\n\n/** Primary Nigerian market geographies. */\nexport const TARGET_LOCATIONS = [\n \"Lagos\",\n \"Ogun\",\n \"Ibadan\",\n \"Abuja\",\n \"Nigeria\",\n] as const;\n\n/**\n * Build the search queries that will surface raw buying signals on public\n * marketplaces, forums (Nairaland), RFQ/tender pages, and classifieds in Nigeria.\n * High-intent phrasing (need / want / buy / RFQ / quotation / tender / looking for)\n * keeps the results focused on genuine BUYERS rather than store catalogues.\n */\nexport function buildQueries(): string[] {\n const intent = [\n \"need\", \"need to buy\", \"looking for\", \"want to buy\", \"buying\",\n \"wanted\", \"RFQ\", \"request for quotation\", \"supply\", \"tender\",\n \"procurement\", \"where can I get\",\n ];\n const products = [\n \"sofa\", \"sofas\", \"wardrobe\", \"wardrobes\", \"bed\", \"beds\", \"mattress\",\n \"kitchen cabinet\", \"office furniture\", \"hotel furniture\", \"salon furniture\",\n \"spa furniture\", \"construction furniture\", \"furniture\", \"chairs\", \"dining table\",\n ];\n const locs = [\"Lagos\", \"Ogun\", \"Ibadan\", \"Abuja\", \"Nigeria\"];\n const queries: string[] = [];\n for (const i of intent) {\n for (const p of products) {\n queries.push(`\"${i}\" \"${p}\" \"${locs[0]}\"`);\n queries.push(`\"${i}\" \"${p}\" \"${locs[0]}\" OR \"Ibadan\" OR \"Abuja\"`);\n }\n }\n // Nigerian buying communities where real buyer posts live.\n queries.push(\"site:nairaland.com furniture buyer Nigeria\");\n queries.push(\"site:nairaland.com sofa needed\");\n queries.push(\"site:nairaland.com office furniture wanted\");\n queries.push(\"site:nairaland.com hotel furniture supply\");\n queries.push(\"site:facebook.com sofa needed Lagos buy\");\n queries.push(\"jiji.ng \\\"in desperate need\\\" furniture Lagos\");\n queries.push(\"\\\"we are looking for\\\" furniture supplier Nigeria\");\n queries.push(\"furniture \\\"request for quotation\\\" Lagos\");\n // De-duplicate while keeping order.\n return [...new Set(queries)];\n}\n\n/** A cheap client-side intent gate used to veto pure retail-catalogue hits. */\nexport function hasBuyerIntent(title: string, snippet: string): boolean {\n const hay = `${title} ${snippet}`.toLowerCase();\n return /need|needed|want|wanted|looking for|buying|buy for|procure|procurement|rfq|request for quotation|quote|quotation|supply|tender|where can i (get|buy)|in need|furnish|fitting out|equip/i.test(\n hay,\n );\n}\n\n/**\n * Search Bing's public RSS endpoint for fresh buying signals. Returns real,\n * dereferenced result URLs and snippets.\n */\nexport async function searchWeb(\n query: string,\n maxPerQuery = 8,\n): Promise {\n const url =\n `https://www.bing.com/search?format=rss&count=${maxPerQuery}&q=` +\n encodeURIComponent(query);\n const res = await fetch(url, {\n headers: { \"user-agent\": USER_AGENT, accept: \"application/rss+xml\" },\n });\n if (!res.ok) {\n console.warn(`[sources] search ${res.status} for \"${query}\"`);\n return [];\n }\n const xml = await res.text();\n return parseBingRss(xml, maxPerQuery);\n}\n\n/** Parse Bing's RSS output (server-safe, no DOM lib). */\nfunction parseBingRss(xml: string, max: number): DiscoveryHit[] {\n const hits: DiscoveryHit[] = [];\n const itemRe = /([\\s\\S]*?)<\\/item>/g;\n let m: RegExpExecArray | null;\n while ((m = itemRe.exec(xml)) !== null && hits.length < max) {\n const block = m[1];\n const link = decodeHtml(getTag(block, \"link\"));\n if (!/^https?:\\/\\//.test(link)) continue;\n const title = clean(getTag(block, \"title\"));\n const desc = clean(getTag(block, \"description\"));\n hits.push({\n url: link,\n title: title || link,\n snippet: desc || title,\n source: \"bing\",\n fetchedAt: new Date().toISOString(),\n });\n }\n return hits;\n}\n\n/** Extract the inner text of a tag (handles CDATA). */\nfunction getTag(xml: string, tag: string): string {\n const re = new RegExp(`<${tag}>([\\\\s\\\\S]*?)<\\\\/${tag}>`, \"i\");\n const m = xml.match(re);\n if (!m) return \"\";\n let s = m[1];\n if (s.startsWith(\"\")) {\n s = s.slice(9, -3);\n }\n return s;\n}\n\nfunction clean(s: string): string {\n return s\n .replace(/<[^>]+>/g, \" \")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .replace(/�?39;/g, \"'\")\n .replace(/ /g, \" \")\n .replace(/\\s+/g, \" \")\n .trim();\n}\n\nfunction decodeHtml(s: string): string {\n return s\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .trim();\n}\n\n/** Fetch the body text of a public page, capped to a size budget for the LLM. */\nexport async function fetchPageText(url: string, maxChars = 18000): Promise {\n try {\n const res = await fetch(url, {\n headers: { \"user-agent\": USER_AGENT, accept: \"text/html\" },\n redirect: \"follow\",\n });\n if (!res.ok) return \"\";\n const html = await res.text();\n return htmlToText(html).slice(0, maxChars);\n } catch (e) {\n console.warn(`[sources] fetch failed ${url}: ${(e as Error).message}`);\n return \"\";\n }\n}\n\nfunction htmlToText(html: string): string {\n return html\n .replace(//gi, \" \")\n .replace(//gi, \" \")\n .replace(/<[^>]+>/g, \" \")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .replace(/�?39;/g, \"'\")\n .replace(/ /g, \" \")\n .replace(/\\s+/g, \" \")\n .trim();\n}\n","// lib/sources.ts\n// Discovery layer: queries public web sources (via Bing's public RSS search\n// endpoint — keyless and reliable from server environments) for genuine\n// furniture-buying signals in Nigeria (Lagos, Ogun, Ibadan, Abuja) across the\n// product categories IS-REAL Modern Furniture sells. This ONLY surfaces *public*\n// pages — it never fabricates contacts or opportunities. Qualification happens\n// later in Gemini.\n\nexport interface DiscoveryHit {\n /** The public page URL this opportunity was found on. */\n url: string;\n title: string;\n /** Raw text snippet from the source, capped for the LLM. */\n snippet: string;\n source: string;\n fetchedAt: string;\n}\n\nconst USER_AGENT =\n \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36\";\n\n/** Product categories the hunter is trained to detect. */\nexport const PRODUCT_CATEGORIES = [\n \"sofa\",\n \"wardrobe\",\n \"bed\",\n \"kitchen cabinet\",\n \"office furniture\",\n \"hotel furniture\",\n \"salon furniture\",\n \"spa furniture\",\n \"construction furniture\",\n \"project furniture\",\n \"furniture\",\n] as const;\n\n/** Primary Nigerian market geographies. */\nexport const TARGET_LOCATIONS = [\n \"Lagos\",\n \"Ogun\",\n \"Ibadan\",\n \"Abuja\",\n \"Nigeria\",\n] as const;\n\n/**\n * Build the search queries that will surface raw buying signals on public\n * marketplaces, forums (Nairaland), RFQ/tender pages, and classifieds in Nigeria.\n * High-intent phrasing (need / want / buy / RFQ / quotation / tender / looking for)\n * keeps the results focused on genuine BUYERS rather than store catalogues.\n */\nexport function buildQueries(): string[] {\n const intent = [\n \"need\", \"need to buy\", \"looking for\", \"want to buy\", \"buying\",\n \"wanted\", \"RFQ\", \"request for quotation\", \"supply\", \"tender\",\n \"procurement\", \"where can I get\",\n ];\n const products = [\n \"sofa\", \"sofas\", \"wardrobe\", \"wardrobes\", \"bed\", \"beds\", \"mattress\",\n \"kitchen cabinet\", \"office furniture\", \"hotel furniture\", \"salon furniture\",\n \"spa furniture\", \"construction furniture\", \"furniture\", \"chairs\", \"dining table\",\n ];\n const locs = [\"Lagos\", \"Ogun\", \"Ibadan\", \"Abuja\", \"Nigeria\"];\n const queries: string[] = [];\n for (const i of intent) {\n for (const p of products) {\n queries.push(`\"${i}\" \"${p}\" \"${locs[0]}\"`);\n queries.push(`\"${i}\" \"${p}\" \"${locs[0]}\" OR \"Ibadan\" OR \"Abuja\"`);\n }\n }\n // Nigerian buying communities where real buyer posts live.\n queries.push(\"site:nairaland.com furniture buyer Nigeria\");\n queries.push(\"site:nairaland.com sofa needed\");\n queries.push(\"site:nairaland.com office furniture wanted\");\n queries.push(\"site:nairaland.com hotel furniture supply\");\n queries.push(\"site:facebook.com sofa needed Lagos buy\");\n queries.push(\"jiji.ng \\\"in desperate need\\\" furniture Lagos\");\n queries.push(\"\\\"we are looking for\\\" furniture supplier Nigeria\");\n queries.push(\"furniture \\\"request for quotation\\\" Lagos\");\n // De-duplicate while keeping order.\n return [...new Set(queries)];\n}\n\n/** A cheap client-side intent gate used to veto pure retail-catalogue hits. */\nexport function hasBuyerIntent(title: string, snippet: string): boolean {\n const hay = `${title} ${snippet}`.toLowerCase();\n return /need|needed|want|wanted|looking for|buying|buy for|procure|procurement|rfq|request for quotation|quote|quotation|supply|tender|where can i (get|buy)|in need|furnish|fitting out|equip/i.test(\n hay,\n );\n}\n\n/**\n * Search Bing's public RSS endpoint for fresh buying signals. Returns real,\n * dereferenced result URLs and snippets.\n */\nexport async function searchWeb(\n query: string,\n maxPerQuery = 8,\n): Promise {\n const url =\n `https://www.bing.com/search?format=rss&count=${maxPerQuery}&q=` +\n encodeURIComponent(query);\n const res = await fetch(url, {\n headers: { \"user-agent\": USER_AGENT, accept: \"application/rss+xml\" },\n });\n if (!res.ok) {\n console.warn(`[sources] search ${res.status} for \"${query}\"`);\n return [];\n }\n const xml = await res.text();\n return parseBingRss(xml, maxPerQuery);\n}\n\n/** Parse Bing's RSS output (server-safe, no DOM lib). */\nfunction parseBingRss(xml: string, max: number): DiscoveryHit[] {\n const hits: DiscoveryHit[] = [];\n const itemRe = /([\\s\\S]*?)<\\/item>/g;\n let m: RegExpExecArray | null;\n while ((m = itemRe.exec(xml)) !== null && hits.length < max) {\n const block = m[1];\n const link = decodeHtml(getTag(block, \"link\"));\n if (!/^https?:\\/\\//.test(link)) continue;\n const title = clean(getTag(block, \"title\"));\n const desc = clean(getTag(block, \"description\"));\n hits.push({\n url: link,\n title: title || link,\n snippet: desc || title,\n source: \"bing\",\n fetchedAt: new Date().toISOString(),\n });\n }\n return hits;\n}\n\n/** Extract the inner text of a tag (handles CDATA). */\nfunction getTag(xml: string, tag: string): string {\n const re = new RegExp(`<${tag}>([\\\\s\\\\S]*?)<\\\\/${tag}>`, \"i\");\n const m = xml.match(re);\n if (!m) return \"\";\n let s = m[1];\n if (s.startsWith(\"\")) {\n s = s.slice(9, -3);\n }\n return s;\n}\n\nfunction clean(s: string): string {\n return s\n .replace(/<[^>]+>/g, \" \")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .replace(/�?39;/g, \"'\")\n .replace(/ /g, \" \")\n .replace(/\\s+/g, \" \")\n .trim();\n}\n\nfunction decodeHtml(s: string): string {\n return s\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .trim();\n}\n\n/** Fetch the body text of a public page, capped to a size budget for the LLM. */\nexport async function fetchPageText(url: string, maxChars = 18000): Promise {\n try {\n const res = await fetch(url, {\n headers: { \"user-agent\": USER_AGENT, accept: \"text/html\" },\n redirect: \"follow\",\n });\n if (!res.ok) return \"\";\n const html = await res.text();\n return htmlToText(html).slice(0, maxChars);\n } catch (e) {\n console.warn(`[sources] fetch failed ${url}: ${(e as Error).message}`);\n return \"\";\n }\n}\n\nfunction htmlToText(html: string): string {\n return html\n .replace(//gi, \" \")\n .replace(//gi, \" \")\n .replace(/<[^>]+>/g, \" \")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .replace(/�?39;/g, \"'\")\n .replace(/ /g, \" \")\n .replace(/\\s+/g, \" \")\n .trim();\n}\n// --------------------------------------------------------------------------\n// Source ADAPTER: direct public-page crawl (no search engine, no logins).\n// --------------------------------------------------------------------------\n\nexport interface CrawlResult {\n url: string;\n title: string;\n /** Full cleaned page text (evidence), capped. */\n text: string;\n source: string;\n fetchedAt: string;\n}\n\n/** Fetch and clean a public page as evidence. Respects robots via UA only —\n * never bypasses logins or CAPTCHAs. */\nexport async function crawlSourceUrl(url: string, maxChars = 40000): Promise {\n try {\n const res = await fetch(url, {\n headers: { \"user-agent\": USER_AGENT, accept: \"text/html,application/xhtml+xml\" },\n redirect: \"follow\",\n });\n if (!res.ok) {\n console.warn(`[crawl] ${res.status} for ${url}`);\n return null;\n }\n const html = await res.text();\n const text = htmlToText(html).slice(0, maxChars);\n if (!text) return null;\n // Best-effort title.\n const tm = html.match(/]*>([^<]+)<\\/title>/i);\n return {\n url,\n title: (tm?.[1] ?? new URL(url).hostname).trim(),\n text,\n source: \"crawl\",\n fetchedAt: new Date().toISOString(),\n };\n } catch (e) {\n console.warn(`[crawl] failed ${url}: ${(e as Error).message}`);\n return null;\n }\n}\n\n/** Split long page text into candidate segments likely to hold a buyer signal,\n * so only promising evidence is sent to Gemini. */\nexport function buyerSegments(text: string, max = 12): string[] {\n const lines = text.split(/\\n+/).map((l) => l.trim()).filter((l) => l.length > 20);\n const hits: string[] = [];\n for (const line of lines) {\n if (hasBuyerIntent(line, \"\") && hits.length < max) hits.push(line);\n }\n // If none matched, fall back to generic product-ish chunks.\n if (!hits.length) {\n const chunks = text.match(/[^.!?]+[.!?]+/g) ?? [];\n for (const c of chunks) {\n if (PRODUCT_CATEGORIES.some((p) => c.toLowerCase().includes(p)) && hits.length < max) hits.push(c.trim());\n }\n }\n return hits;\n}\n\n/** Highly-targeted Nigerian buying/procurement search queries for Layer 1 (Bing). */\nexport function buildNigerianBuyerQueries(): string[] {\n const intent = [\"need\", \"looking for\", \"want to buy\", \"required\", \"procurement\", \"rfq\", \"quotation\", \"tender\", \"supply\", \"where can I get\"];\n const products = [\"sofa\", \"bed\", \"wardrobe\", \"kitchen cabinet\", \"office furniture\", \"hotel furniture\", \"school furniture\", \"restaurant furniture\", \"furniture\"];\n const locs = [\"Lagos\", \"Ogun\", \"Ibadan\", \"Abuja\"];\n const q: string[] = [];\n for (const i of intent) for (const p of products) for (const l of locs) q.push(`\"${p}\" \"${i}\" \"${l}\"`);\n q.push(\"site:nairaland.com furniture wanted\");\n q.push(\"site:nairaland.com sofa needed\");\n q.push(\"hotel furniture procurement Nigeria tender\");\n q.push(\"school furniture contract Nigeria\");\n q.push(\"office furniture quotation Lagos\");\n return [...new Set(q)];\n}\n","createdAt",["D",1787620654885],"branchVersion","branchId","ac292285-e807-44ad-b932-d224d7a2bc0b","id","062aa035-2622-42e9-b197-d325a6afd62b","is-real-ai-sales-os",["D",1787435303615],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","IS-REAL AI client acquisition and sales automation OS","imageUrl","7f4d7826-53c8-4b3e-9b4f-1e07fc1853e4","pinnedFileId","01a02b72-4343-720e-b974-db3653f8238f","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","01a02b69-5d30-761f-af3c-cfbcd92a2566","tursoName","062aa035262242e9b197d325a6afd62b","tursoHostname","062aa035262242e9b197d325a6afd62b-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789521640046],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_107":106,"_115":111},"org",{"_107":106,"_108":109,"_110":111,"_19":62,"_112":113,"_114":31},"branch",{"_13":96,"_38":97,"_50":49,"_98":51,"_99":-5,"_100":-5,"_101":-5,"_102":-5,"_103":-5,"_104":52,"_105":106},"isOwned",112,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","isrealmodernfurniture","handle","displayName","IS-REAL Modern furniture","avatar","https://lh3.googleusercontent.com/a/ACg8ocLoG7wn933Ub4ABjB-fo6OOcMHznhw2GQGgVPJAJXagSLjgyeo7=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_50":51,"_38":52,"_45":267,"_54":-5,"_55":31,"_56":57,"_58":57,"_59":60,"_61":-5,"_19":62,"_63":64,"_65":66,"_67":-5,"_68":-5,"_69":70,"_71":72,"_73":74,"_75":76,"_77":268,"_79":-5,"_80":81,"_82":81,"_83":84,"_85":84,"_86":84,"_87":81,"_88":81,"_89":269,"_91":270,"_93":271,"_95":31},"tree",[201,203,208,209,210,211],"files",[201,202,203,204,205,206,207,208,209,210,211],"counts",{"_190":70,"_191":151,"_192":70,"_193":194,"_195":196},"contents",[138,139,140,141,142,143],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_50":185,"_38":186,"_36":187,"_147":-5,"_48":49,"_47":151,"_149":66,"_45":188,"_13":70,"_40":183,"_42":-5,"_30":31,"_154":-5,"_33":189},{"_50":178,"_38":179,"_36":180,"_147":-5,"_48":49,"_47":181,"_149":66,"_45":182,"_13":70,"_40":183,"_42":-5,"_30":31,"_154":-5,"_33":184},{"_50":172,"_38":173,"_36":174,"_147":-5,"_48":49,"_47":151,"_149":66,"_45":175,"_13":70,"_40":26,"_42":176,"_30":31,"_154":-5,"_33":177},{"_50":165,"_38":166,"_36":167,"_147":-5,"_48":49,"_47":168,"_149":66,"_45":169,"_13":151,"_40":26,"_42":170,"_30":31,"_154":-5,"_33":171},{"_50":156,"_38":157,"_36":64,"_147":-5,"_48":49,"_47":158,"_149":31,"_45":159,"_13":160,"_40":161,"_42":162,"_30":31,"_154":163,"_33":164},{"_50":144,"_38":145,"_36":146,"_147":-5,"_48":49,"_47":148,"_149":31,"_45":150,"_13":151,"_40":152,"_42":153,"_30":31,"_154":-5,"_33":155},"8390c3b5-2799-43b0-8370-0eb3d812b47f","market-hunter.ts","68d53af0-9e73-11f1-9179-1607ee4eb77e","parentId",8,"latest",["D",1787616751409],1,"interval","// market-hunter.ts\n// Scheduled Market Hunt worker (fileType: interval). Runs automatically on the\n// cron schedule. Each execution discovers public furniture-buying evidence in\n// Nigeria, qualifies it with Gemini, stores qualified leads, and logs a clear\n// result. Invoking this file directly (e.g. via run_file) triggers one hunt.\n\nimport { runHunt } from \"./lib/hunter.ts\";\n\nexport default async function (interval: Interval) {\n console.log(\n `[market-hunter] scheduled run started. lastRunAt=${interval.lastRunAt ? interval.lastRunAt.toISOString() : \"(first run)\"}`,\n );\n\n const result = await runHunt({ source: \"cron\" });\n\n // Clear, structured result for the schedule trigger and for logs/observability.\n console.log(\n JSON.stringify({\n market_hunter: \"IS-REAL AI Sales OS\",\n run: result.status,\n ok: result.ok,\n huntId: result.huntId,\n triggeredBy: result.triggeredBy,\n startedAt: result.startedAt,\n finishedAt: result.finishedAt,\n queriesRun: result.queriesRun,\n hitsSeen: result.hitsSeen,\n qualifiedCandidates: result.candidates,\n newLeads: result.newLeads,\n duplicatesDeduped: result.duplicates,\n rejected: result.rejected,\n geminiConfigured: Boolean(Deno.env.get(\"GEMINI_API_KEY\")),\n error: result.error ?? null,\n }),\n );\n\n return result;\n}\n","label",[145],"4c86aab9-6bee-4601-b5c1-7c9d3bdffc47","index.ts",42,["D",1787619380486],7,"http","/** @jsxImportSource npm:hono@4/jsx */\n// index.ts\n// IS-REAL AI Sales OS — Market Hunter HTTP dashboard + API.\n// Serves a live ops dashboard (real SQLite data) and REST endpoints, including a\n// manual \"Run Hunt Now\" trigger. Server-rendered with hono/jsx (no client SPA).\n\nimport { Hono } from \"npm:hono\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\nimport {\n BUSINESS_WHATSAPP,\n businessWhatsApp,\n getLead,\n health,\n listHunts,\n listLeads,\n runHunt,\n setLeadStatus,\n stats,\n WEBSITE,\n} from \"./lib/hunter.ts\";\nimport type { LeadRow } from \"./lib/hunter.ts\";\n\nconst app = new Hono();\n\nconst VALID_STATUSES = [\"new\", \"contacted\", \"quoted\", \"closed\", \"rejected\"] as const;\n\nconst fmt = (n: number | null, cur = \"NGN\") =>\n n == null ? \"—\" : `${cur} ${Number(n).toLocaleString(\"en-NG\")}`;\n\nfunction Badge({ children, tone }: { children: unknown; tone?: string }) {\n const color =\n tone === \"error\"\n ? \"#e74c3c\"\n : tone === \"ok\"\n ? \"#27ae60\"\n : tone === \"warn\"\n ? \"#e67e22\"\n : \"#3498db\";\n return (\n \n {children}\n \n );\n}\n\nfunction Layout({ title, children }: { title: string; children: unknown }) {\n return (\n \n \n \n \n {title}\n

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