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يضمن أعمال الاختبار + يخدم قاعدة IMDb للقياس */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\nconst KEY = \"imdbcorpus_v1\";\n\nconst WANT: [string, string][] = [\n [\"movie\", \"A Quiet Place\"], [\"tv\", \"Dark\"], [\"movie\", \"Inception\"], [\"tv\", \"Squid Game\"],\n [\"tv\", \"Severance\"], [\"movie\", \"The Sixth Sense\"], [\"movie\", \"Up\"], [\"movie\", \"Groundhog Day\"],\n [\"tv\", \"Breaking Bad\"], [\"movie\", \"The Lincoln Lawyer\"], [\"movie\", \"The Matrix\"],\n [\"movie\", \"Interstellar\"], [\"movie\", \"Parasite\"], [\"tv\", \"Chernobyl\"], [\"movie\", 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أنبوب متعدد المحركات عبر WARP + ياندكس من أوراكل — نسخة قابلة للقياس */\nconst RELAY = \"http://145.241.108.185:8899/fetch?url=\";\nconst SEARX = \"http://145.241.108.185:8888/search\";\nconst SHASHTI = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nconst NOISE = [\"imdb\", \"rotten tomatoes\", \"letterboxd\", \"netflix\", \"wikipedia\", \"youtube\", \"metacritic\",\n \"justwatch\", \"prime video\", \"reddit\", \"trailer\", \"official trailer\", \"movie review\", \"watch online\",\n \"plot summary\", \"the movie database\", \"tmdb\", \"fandom\", \"quotes\", \"ending explained\", \"best movies\",\n \"list of films\", \"similar movies\", \"cast and crew\", \"images\", \"videos\", \"news\", \"maps\", \"settings\", \"sign in\"];\n\n/* ⚠️ روابط تنقّل داخل صفحة العمل (\"Plot\" · \"CAST\" · \"Episodes\") كانت تدخل كمرشَّحين\n وتزيح العمل الصحيح — مقاس: Dark سقط و\"Overview\" و\"Family Tree\" أخذا مكانه. */\nconst NAV = new Set((\"plot cast crew overview episodes episode seasons season videos photos images news \" +\n \"awards trivia quotes reviews review details summary synopsis soundtrack goofs connections \" +\n \"full cast top rated watchlist share more home menu next previous back family tree production \" +\n \"the production line box office release info technical specs parents guide faq keywords \" +\n \"stream cast & crew user reviews external sites did you know\").split(\" \"));\nconst isNav = (t: string) => {\n const l = t.toLowerCase().trim();\n if (l.split(/\\s+/).length > 4) return false;\n return NAV.has(l) || l.split(/\\s+/).every(w => NAV.has(w));\n};\n\nfunction cleanTitle(raw: string): string {\n let t = String(raw || \"\").replace(/&/g, \"&\").replace(/'|'/g, \"'\").replace(/"/g, '\"')\n .replace(/ /g, \" \").replace(/</g, \"<\").replace(/>/g, \">\");\n t = t.split(/\\s+[-–|:]\\s+/)[0];\n t = t.replace(/\$(?:TV\\s+(?:Series|Mini[- ]?Series|Movie)\\s*)?\\d{4}(?:[–-]\\s*\\d{0,4})?\$/gi, \"\");\n t = t.replace(/[\"'“”‘’]/g, \"\").replace(/\\s+/g, \" \").trim();\n t = t.replace(/^(?:watch|stream)\\s+/i, \"\").trim();\n return t;\n}\nconst isNoise = (t: string) => {\n const l = t.toLowerCase();\n return l.length < 2 || l.length > 60 || NOISE.some(n => l === n || l.startsWith(n + \" \") || l.endsWith(\" \" + n));\n};\n\n/* مستخرِج عام: كل رابط+نص من أي صفحة نتائج — بدل محلّل مخصَّص لكل محرك\n (محلّل لكل محرك = أربع نقاط كسر مستقلة عند أي تغيير بتصميمهم) */\nfunction anchors(html: string): { url: string; title: string }[] {\n const out: { url: string; title: string }[] = [];\n const re = /]*href=[\"']([^\"']+)[\"'][^>]*>([\\s\\S]{0,300}?)<\\/a>/gi;\n let m: RegExpExecArray | null;\n while ((m = re.exec(html))) {\n let href = m[1];\n const text = m[2].replace(/<[^>]+>/g, \" \").replace(/\\s+/g, \" \").trim();\n if (!text || text.length < 2) continue;\n /* فك روابط التحويل: DuckDuckGo (uddg) وYahoo (RU) */\n const ud = href.match(/[?&]uddg=([^&]+)/); if (ud) href = decodeURIComponent(ud[1]);\n const ru = href.match(/[?&]RU=([^&]+)/); if (ru) href = decodeURIComponent(ru[1]);\n if (href.startsWith(\"//\")) href = \"https:\" + href;\n if (!/^https?:\\/\\//.test(href)) continue;\n out.push({ url: href, title: text });\n if (out.length > 400) break;\n }\n return out;\n}\n\nasync function viaWarp(url: string, ms = 25000) {\n const r = await fetch(RELAY + encodeURIComponent(url), { signal: AbortSignal.timeout(ms) });\n return await r.text();\n}\n\nconst ENGINES: Record Promise<{ url: string; title: string }[]>> = {\n /* ⚠️ lite.duckduckgo أعطى رابطاً واحداً فقط بالقياس — النسخة html أعطت ٣٣ك ونتائج كاملة */\n ddg: async q => anchors(await viaWarp(\"https://html.duckduckgo.com/html/?q=\" + encodeURIComponent(q))),\n brave: async q => anchors(await viaWarp(\"https://search.brave.com/search?q=\" + encodeURIComponent(q))),\n yahoo: async q => anchors(await viaWarp(\"https://search.yahoo.com/search?p=\" + encodeURIComponent(q))),\n yandex: async q => {\n const r = await fetch(SEARX + \"?format=json&engines=yandex&q=\" + encodeURIComponent(q), { signal: AbortSignal.timeout(22000) });\n const j = await r.json();\n return (j?.results || []).map((x: any) => ({ url: String(x.url || \"\"), title: String(x.title || \"\") }));\n },\n};\n\ntype C = { key: string; imdb?: string; title?: string; score: number; engines: Set };\n\nfunction harvest(map: Map, items: { url: string; title: string }[], eng: string) {\n const bump = (key: string, w: number, patch: Partial) => {\n let c = map.get(key);\n if (!c) { c = { key, score: 0, engines: new Set() }; map.set(key, c); }\n for (const k in patch) if ((patch as any)[k] != null && (c as any)[k] == null) (c as any)[k] = (patch as any)[k];\n c.score += w; c.engines.add(eng);\n };\n let rank = 0;\n const seenUrl = new Set();\n for (const it of items) {\n const bare = it.url.split(\"#\")[0].split(\"?\")[0];\n if (seenUrl.has(bare)) continue;\n seenUrl.add(bare);\n const tt = it.url.match(/imdb\\.com\\/title\\/(tt\\d+)/i);\n const known = /rottentomatoes\\.com|letterboxd\\.com|netflix\\.com|wikipedia\\.org|metacritic\\.com|justwatch\\.com|themoviedb\\.org/i.test(it.url);\n if (!tt && !known) continue;\n const t = cleanTitle(it.title);\n if (!t || isNav(t) || isNoise(t)) continue; /* روابط تنقّل لا نتائج */\n rank++;\n if (rank > 25) break;\n const w = 1 / rank;\n if (tt) bump(\"imdb:\" + tt[1], w * 3, { imdb: tt[1], title: t });\n else bump(\"name:\" + t.toLowerCase(), w * 2, { title: t });\n }\n}\n\nasync function tmdbFind(imdb: string) {\n const j = await fetch(SHASHTI + \"/tmdb/find/\" + imdb + \"?external_source=imdb_id\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null).catch(() => null);\n const mv = j?.movie_results?.[0], tv = j?.tv_results?.[0];\n if (mv) return { ...mv, _isMovie: true };\n if (tv) return { ...tv, _isMovie: false };\n return null;\n}\nasync function tmdbSearch(name: string) {\n const [m, t] = await Promise.all([\n fetch(SHASHTI + \"/tmdb/search/movie?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n fetch(SHASHTI + \"/tmdb/search/tv?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n ]);\n const norm = (s: any) => String(s || \"\").toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n const want = norm(name);\n const all = [...(m?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: true })),\n ...(t?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: false }))];\n const exact = all.filter(x => norm(x.title || x.name) === want || norm(x.original_title || x.original_name) === want);\n const pool = exact.length ? exact : all;\n pool.sort((a: any, b: any) => (b.popularity || 0) - (a.popularity || 0));\n return pool[0] || null;\n}\n\nexport async function search(rawText: string) {\n const t0 = Date.now();\n const dbg: any = {};\n let en = rawText.trim();\n if (/[\\u0600-\\u06FF]/.test(en)) {\n const tt = Date.now();\n try {\n const tr = await fetch(SHASHTI + \"/translate?q=\" + encodeURIComponent(en) + \"&target=en\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (tr?.text) en = String(tr.text);\n } catch { /* نكمل بالأصل */ }\n dbg.trMs = Date.now() - tt;\n }\n dbg.en = en;\n const q = en + \" movie or tv series\";\n\n const t1 = Date.now();\n const runs = await Promise.all(Object.entries(ENGINES).map(async ([name, fn]) => {\n const s = Date.now();\n try { const items = await fn(q); return { name, items, ms: Date.now() - s, err: \"\" }; }\n catch (e) { return { name, items: [] as any[], ms: Date.now() - s, err: String(e).slice(0, 60) }; }\n }));\n dbg.engines = runs.map(r => r.name + \":\" + r.items.length + \"/\" + r.ms + \"ms\" + (r.err ? \"!\" : \"\"));\n dbg.searchMs = Date.now() - t1;\n\n const map = new Map();\n for (const r of runs) harvest(map, r.items, r.name);\n\n const cands = [...map.values()]\n .map(c => ({ ...c, final: c.score * (1 + (c.engines.size - 1) * 1.3) }))\n .sort((a, b) => b.final - a.final).slice(0, 6);\n dbg.cands = cands.map(c => c.title + \"[\" + [...c.engines].join(\"+\") + \"·\" + c.final.toFixed(2) + \"]\");\n\n const t2 = Date.now();\n const resolved = await Promise.all(cands.map(async c => {\n try { return { c, hit: c.imdb ? await tmdbFind(c.imdb) : (c.title ? await tmdbSearch(c.title) : null) }; }\n catch { return { c, hit: null as any }; }\n }));\n dbg.tmdbMs = Date.now() - t2;\n\n const items: any[] = [], seen = new Set();\n for (const { c, hit } of resolved) {\n if (!hit?.id || seen.has(hit.id)) continue;\n seen.add(hit.id);\n items.push({\n id: hit.id, imdb: c.imdb || null, isMovie: !!hit._isMovie,\n title: hit.title || hit.name || c.title,\n year: String(hit.release_date || hit.first_air_date || \"\").slice(0, 4) || null,\n poster: hit.poster_path ? \"https://image.tmdb.org/t/p/w185\" + hit.poster_path : null,\n overview: hit.overview || \"\", rating: hit.vote_average ? Math.round(hit.vote_average * 10) / 10 : null,\n engines: [...c.engines], engineCount: c.engines.size,\n });\n }\n dbg.ms = Date.now() - t0;\n return { items: items.slice(0, 4), debug: dbg };\n}\n","label",[143],"51294a3d-0090-4b67-8119-46b2c79ef3e1","webbench.ts","da23a41e-aff6-11f1-a6e0-1607ee4eb77e",61,["D",1789361018151],"import { search } from \"./webengine.ts\";\n\nconst CASES: [string, string][] = [\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"quiet place\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"^dark$\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"inception\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"squid game\"],\n [\"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\", \"severance\"],\n [\"فلم عن ولد صغير يقدر يشوف الأموات\", \"sixth sense\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"^up$\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"groundhog\"],\n [\"فلم عن محامي يشتغل من سيارته\", \"lincoln lawyer\"],\n [\"مسلسل عن مدرس كيمياء يصير يصنع مخدرات\", \"breaking bad\"],\n];\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const i = Number(url.searchParams.get(\"i\") || \"0\");\n const n = Number(url.searchParams.get(\"n\") || \"2\");\n const rows: any[] = [];\n for (const [q, expect] of CASES.slice(i, i + n)) {\n try {\n const r = await search(q);\n const titles = (r.items || []).map((x: any) => String(x.title || \"\"));\n const re = new RegExp(expect, \"i\");\n rows.push({\n q, expect,\n rank: titles.findIndex(t => re.test(t)),\n top: titles,\n eng: r.debug.engines,\n ms: r.debug.ms, trMs: r.debug.trMs, searchMs: r.debug.searchMs, tmdbMs: r.debug.tmdbMs,\n });\n } catch (e) { rows.push({ q, err: String(e).slice(0, 200) }); }\n }\n return Response.json(rows);\n}\n",[155],"cedd004f-ba5d-426a-848a-53c7a8b2f041","searxdiag.ts","0f5baec8-af9e-11f1-bbcf-1607ee4eb77e",74,["D",1789368975201],28,"/* هل يحوي IMDb الحبكة الكاملة التي يخفيها ملخّص TMDB؟ */\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\n\nasync function gql(q: string) {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query: q }), signal: AbortSignal.timeout(25000) });\n return await r.json();\n}\n\nexport default async function (req: Request): Promise {\n const ids = (new URL(req.url).searchParams.get(\"t\") || \"tt0167404,tt5753856,tt1049413\").split(\",\");\n const out: any = {};\n for (const id of ids) {\n try {\n const j = await gql(`query { title(id: ${JSON.stringify(id)}) {\n titleText { text }\n plots(first: 6) { edges { node { plotText { plainText } plotType } } }\n } }`);\n if (j?.errors) { out[id] = \"ERR \" + String(j.errors[0]?.message).slice(0, 150); continue; }\n const t = j?.data?.title;\n const ps = (t?.plots?.edges || []).map((e: any) => ({\n type: e.node?.plotType,\n len: (e.node?.plotText?.plainText || \"\").length,\n text: (e.node?.plotText?.plainText || \"\").slice(0, 400),\n }));\n out[id] = { title: t?.titleText?.text, plots: ps };\n } catch (e) { out[id] = \"EX \" + String(e).slice(0, 120); }\n }\n return Response.json(out);\n}\n",[162],"bcb16cad-8451-445b-927a-90cd1820bf34","probe2.ts","39f94fc6-af9b-11f1-94aa-1607ee4eb77e",7,["D",1789321725227],1,"export default async function (req: Request): Promise {\n const url = new URL(req.url);\n const q = url.searchParams.get(\"q\") || \"\";\n if (!q) return Response.json({ error: \"no q\" });\n const { findByPlot } = await import(\"./engine.ts\");\n try {\n const out = await findByPlot(q);\n return Response.json(out);\n } catch (e) {\n return Response.json({ error: String(e).slice(0, 500) });\n }\n}\n",[170],"0ed10905-12cb-4084-ba11-75fe36d7791f","probe.ts","3289ae34-af9b-11f1-84b0-1607ee4eb77e",4,["D",1789321659655],"export default async function () {\n const q = \"family lives in silence monsters hunt by sound movie\";\n const out: any = {};\n const u = \"http://145.241.108.185:8888/search?q=\" + encodeURIComponent(q) + \"&format=json\";\n try {\n const r = await fetch(u, { signal: AbortSignal.timeout(20000) });\n const txt = await r.text();\n out.status = r.status;\n out.len = txt.length;\n out.head = txt.slice(0, 1500);\n } catch (e) {\n out.error = String(e).slice(0, 400);\n }\n console.log(JSON.stringify(out, null, 2));\n return out;\n}\n",[178],"046fffc1-6318-447d-b78c-3a21421b00a7","ondevice.ts","fdaf6144-affa-11f1-b05b-1607ee4eb77e",73,["D",1789362795764],"const CORPUS_URL = \"https://q8kamikaze--dfc53fe6affa11f198ef1607ee4eb77e.web.val.run/\";\n\nconst HTML = `\n\n\nقياس البحث على الجهاز\n\n\n

قياس البحث الدلالي على جهازك 🧪

النموذج يشتغل داخل جوالك — صفر خادم، صفر حساب، صفر حصة.\nالصفحة تقيس نفسها: زمن التحميل، زمن التجهيز، زمن البحث، ودقة ١٥ اختباراً حقيقياً.

\n\n

\n\n`;\n\nexport default () => new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n",[185],"d9f04b43-f127-4594-854f-7233d1cbbc93","main.ts",55,["D",1789325062701],5,"import { findByPlot } from \"./engine.ts\";\nimport { findByKeywords } from \"./kwengine.ts\";\n\nconst HTML = `\n\n\n\n\nابحث بالوصف — تجربة حية\n\n\n\n\n

ابحث بالوصف — تجربة حية 🧪

\n \n \n

\n\n\n

مجاني ١٠٠٪: ترجمة ← SearXNG (سيرفرك) ← TMDB. ⚠️ يعتمد على محركات بحث تُعلَّق عند كثرة الطلبات.

\n \n \n

\n\n\n

الفكرة: وسوم كتبها بشر لكل عمل بـIMDb. نحوّل وصفك لوسوم، نتقاطعها، ثم نتحقّق من وسوم كل مرشَّح نفسه ونرتّب بعدد المطابق. صفر ذكاء اصطناعي · صفر محرك بحث · صفر حجب.

\n \n \n

\n \n

\n\n

\n\n\n`;\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n if (url.pathname === \"/api\") {\n const q = (url.searchParams.get(\"q\") || \"\").trim();\n if (!q) return Response.json({ error: \"empty\" });\n try { return Response.json(await findByPlot(q)); }\n catch (e) { return Response.json({ error: String(e).slice(0, 400) }); }\n }\n if (url.pathname === \"/kw\") {\n const q = (url.searchParams.get(\"q\") || \"\").trim();\n const pick = (url.searchParams.get(\"pick\") || \"\").split(\",\").map(s => s.trim()).filter(Boolean);\n if (!q) return Response.json({ error: \"empty\" });\n try { return Response.json(await findByKeywords(q, pick.length ? pick : undefined)); }\n catch (e) { return Response.json({ error: String(e).slice(0, 400) }); }\n }\n return new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n}\n",[192],"afe34866-1484-4fcc-ab0a-e35cf402481d","kwengine.ts","76f16f0c-afa1-11f1-8955-1607ee4eb77e",54,["D",1789324990359],14,"/* دراسة عمق — أنبوب وسوم IMDb البشرية + تصويت الأزواج\n ⚠️ ثلاثة أخطاء أمسكها القياس وصُحّحت هنا:\n ١) سقف الاتساع ٨٠٠٠ كان **يرمي أفضل وسم بالحالتين**: time-travel (٩١٥٥) وmonster (٩٥٩٥).\n السقف الآن ٣٠٬٠٠٠ — يرمي العام حقاً لا المميّز.\n ٢) المطابقة التقريبية (startsWith) أدخلت وسوماً دخيلة تماماً (\"theremin\") — أُلغيت، حرفي فقط.\n ٣) الترتيب بالندرة وحدها رفع مطابقات عرضية؛ الآن: العبارة الأطول أولاً (الأدق دلالياً)،\n ثم الأندر. */\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst SHASHTI = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst H = {\n \"content-type\": \"application/json\",\n \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\",\n};\nasync function gql(query: string) {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query }), signal: AbortSignal.timeout(25000) });\n return await r.json();\n}\n\n/* كلمات لا تصلح وسماً **مستقلاً** — لكنها مسموحة **داخل** وسم مركّب\n (\"time\" وحدها ضجيج، لكن \"time travel\" أقوى وسم ممكن. خلطهما كان خطأً مقاساً.) */\nconst WEAK = new Set((\"lives live living life time man woman boy girl child children thing place world year day night \" +\n \"hunt sound family people story\").split(\" \"));\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been about after \" +\n \"who that this his her its their he she it they them movie film series show tv season episode one two three \" +\n \"new old make made get gets has have had not no all some any more most where when how why \" +\n \"someone something himself herself themselves each other into onto over under while during because\").split(\" \"));\n\nconst slug = (s: string) => s.trim().toLowerCase().replace(/\\s+/g, \"-\");\n\nasync function toKeywords(text: string) {\n const words = text.toLowerCase().replace(/[^a-z0-9 ]+/g, \" \").split(/\\s+/).filter(Boolean);\n /* جذر خفيف: أول ٥ حروف — يجسر \"traveling\"↔\"travel\" و\"monsters\"↔\"monster\" */\n const stem = (w: string) => w.slice(0, 5);\n const bag = new Set(words.filter(w => !STOP.has(w) && w.length > 2).map(stem));\n\n const cand: string[] = [];\n for (let n = 3; n >= 1; n--) {\n for (let i = 0; i + n <= words.length; i++) {\n const g = words.slice(i, i + n);\n if (STOP.has(g[0]) || STOP.has(g[g.length - 1])) continue;\n if (g.every(w => STOP.has(w) || w.length <= 2)) continue;\n cand.push(g.join(\" \"));\n }\n }\n const uniq = [...new Set(cand)].slice(0, 24);\n /* مفرد/جمع: \"monsters\" ليست وسماً و\"monster\" وسم — نضيف المفرد كمرشَّح مستقل */\n const singular = uniq.map(w => w.replace(/\\b(\\w{4,})s\\b/g, \"$1\")).filter(w => !uniq.includes(w));\n const all = [...uniq, ...new Set(singular)].slice(0, 32);\n const hits = await Promise.all(all.map(async w => {\n try {\n const j = await gql(`query { mainSearch(first: 6, options: { searchTerm: ${JSON.stringify(w)}, type: KEYWORD }) {\n edges { node { entity { ... on Keyword { text { text } } } } } } }`);\n const list: string[] = (j?.data?.mainSearch?.edges || []).map((e: any) => e.node?.entity?.text?.text).filter(Boolean);\n const exact = list.find(h => h === w);\n /* ⚠️ تصحيح رابع (قياس): الترجمة تقلب ترتيب العبارة (\"traveling in time\" مقابل\n \"time travel\")، فالثنائية الحرفية لا تتكوّن أبداً ويضيع أقوى وسم. الحل:\n نقبل أي اقتراح **كل كلماته موجودة بالوصف نفسه** — لا شرط على الترتيب. */\n const subset = list\n .filter(h => h !== w && h.split(\" \").length > 1)\n .filter(h => h.split(\" \").every(x => STOP.has(x) || bag.has(stem(x))));\n const chosen = exact || subset[0] || null;\n return { w, kw: chosen, n: chosen ? chosen.split(\" \").length : 0, via: exact ? \"حرفي\" : (chosen ? \"تجميع\" : \"\") };\n } catch { return { w, kw: null, n: 0, via: \"\" }; }\n }));\n const seen = new Set();\n const strong: any[] = [], weak: any[] = [];\n for (const h of hits.filter(x => x.kw).sort((a, b) => b.n - a.n)) {\n const s = slug(h.kw!);\n if (seen.has(s)) continue;\n seen.add(s);\n /* كلمة ضعيفة مفردة تُؤجَّل احتياطاً — تُستعمل فقط لو الوسوم القوية أقل من ثلاثة */\n (h.n === 1 && WEAK.has(h.kw!.toLowerCase()) ? weak : strong).push({ ...h, slug: s });\n }\n return strong.length >= 3 ? strong : strong.concat(weak);\n}\n\nasync function keywordBreadth(s: string) {\n try {\n const j = await gql(`query { advancedTitleSearch(first: 1,\n constraints: { keywordConstraint: { allKeywords: ${JSON.stringify([s])} },\n explicitContentConstraint: { explicitContentFilter: EXCLUDE_ADULT } }) { total } }`);\n return j?.data?.advancedTitleSearch?.total ?? -1;\n } catch { return -1; }\n}\n\nasync function pair(a: string, b: string, take = 12) {\n try {\n const j = await gql(`query { advancedTitleSearch(first: ${take},\n sort: { sortBy: POPULARITY, sortOrder: ASC },\n constraints: { keywordConstraint: { allKeywords: ${JSON.stringify([a, b])} },\n explicitContentConstraint: { explicitContentFilter: EXCLUDE_ADULT } })\n { total edges { node { title { id titleText { text } releaseYear { year } titleType { id }\n primaryImage { url } ratingsSummary { aggregateRating } } } } } }`);\n const d = j?.data?.advancedTitleSearch;\n return { total: d?.total ?? 0, items: (d?.edges || []).map((e: any) => ({\n id: e.node?.title?.id, t: e.node?.title?.titleText?.text, y: e.node?.title?.releaseYear?.year,\n type: e.node?.title?.titleType?.id, img: e.node?.title?.primaryImage?.url || null,\n r: e.node?.title?.ratingsSummary?.aggregateRating ?? null,\n })) };\n } catch { return { total: 0, items: [] }; }\n}\n\nexport async function findByKeywords(rawText: string, picked?: string[]) {\n const t0 = Date.now();\n const dbg: any = {};\n let en = rawText.trim();\n if (/[\\u0600-\\u06FF]/.test(en)) {\n try {\n const tr = await fetch(SHASHTI + \"/translate?q=\" + encodeURIComponent(en) + \"&target=en\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (tr?.text) en = String(tr.text);\n } catch { /* نكمل بالأصل */ }\n }\n dbg.en = en;\n\n const kws = await toKeywords(en);\n dbg.mapped = kws.map(k => k.w + \" → \" + k.kw);\n\n const withBreadth = await Promise.all(kws.slice(0, 12).map(async k => ({ ...k, total: await keywordBreadth(k.slug) })));\n const auto = withBreadth\n .filter(k => k.total >= 5 && k.total <= 30000)\n .sort((a, b) => (b.n - a.n) || (a.total - b.total))\n .slice(0, 5);\n\n /* رقائق للعرض: كل الوسوم الصالحة + اقتراحات IMDb حولها (يجسر الفجوة اللفظية:\n المستخدم يكتب \"dream\" وIMDb يسمّيها \"dream within a dream\") */\n const sugSeeds = withBreadth.filter(k => k.total >= 5).slice(0, 4);\n const sugLists = await Promise.all(sugSeeds.map(async k => {\n try {\n const j = await gql(`query { mainSearch(first: 8, options: { searchTerm: ${JSON.stringify(k.kw)}, type: KEYWORD }) {\n edges { node { entity { ... on Keyword { text { text } } } } } } }`);\n return (j?.data?.mainSearch?.edges || []).map((e: any) => e.node?.entity?.text?.text).filter(Boolean);\n } catch { return []; }\n }));\n const chipSet = new Map();\n for (const k of withBreadth.filter(x => x.total >= 5)) chipSet.set(k.slug, true);\n for (const l of sugLists) for (const s of l) chipSet.set(slug(s), false);\n dbg.chips = [...chipSet.entries()].slice(0, 24).map(([s, isAuto]) => ({ s, auto: isAuto }));\n\n /* لو المستخدم اختار رقائق بنفسه، هي المصدر — وإلا الاختيار الآلي */\n const good = picked && picked.length >= 2\n ? picked.map(p => ({ slug: p, total: 0, n: p.split(\"-\").length, w: p, kw: p }))\n : auto;\n dbg.breadth = withBreadth.map(k => k.slug + \":\" + k.total);\n dbg.chosen = good.map((k: any) => k.slug + (k.total ? \"(\" + k.total + \")\" : \"\"));\n dbg.manual = !!(picked && picked.length >= 2);\n\n if (dbg.manual) {\n for (const g of good as any[]) if (!g.total) g.total = await keywordBreadth(g.slug);\n }\n\n if (good.length < 2) { dbg.ms = Date.now() - t0; return { items: [], debug: dbg, reason: \"وسوم غير كافية\" }; }\n\n const pairs: [string, string][] = [];\n for (let i = 0; i < good.length; i++)\n for (let j = i + 1; j < good.length; j++) pairs.push([good[i].slug, good[j].slug]);\n\n const results = await Promise.all(pairs.slice(0, 10).map(async ([a, b]) => ({ a, b, ...(await pair(a, b)) })));\n dbg.pairs = results.map(r => r.a + \"+\" + r.b + \"=\" + r.total);\n\n const votes = new Map();\n for (const r of results) {\n if (!r.total || r.total > 2000) continue;\n r.items.forEach((it: any) => {\n if (!it.id) return;\n let v = votes.get(it.id);\n if (!v) { v = { ...it, pairs: 0, from: [] as string[] }; votes.set(it.id, v); }\n v.pairs++;\n if (v.from.length < 4) v.from.push(r.a + \"+\" + r.b);\n });\n }\n\n /* ═══ الحل الجذري لفشل الاختيار الآلي ═══\n لا نحاول تخمين «أي وسمين هما الجوهريان» — نجمع كل المرشَّحين من كل الأزواج،\n ثم نسحب **قائمة وسوم كل مرشَّح نفسه** ونحسب كم وسماً من وسوم وصفك يحملها فعلاً.\n العمل الصحيح يحمل أربعة أو خمسة منها؛ الدخيل يحمل الاثنين اللذين جاء بهما فقط.\n والوزن IDF: وسم نادر (missing-children ٥٨) يساوي أضعاف وسم عام (time-travel ٩١٥٥). */\n const cands = [...votes.values()].slice(0, 24);\n if (cands.length) {\n const alias = cands.map((c, i) =>\n `t${i}: title(id: ${JSON.stringify(c.id)}) { keywords(first: 40) { edges { node { text } } } }`).join(\" \");\n try {\n const j = await gql(`query { ${alias} }`);\n const qk = withBreadth.filter(k => k.total > 0)\n .concat(dbg.manual ? (good as any[]).filter(g => !withBreadth.some(w => w.slug === g.slug)) : []);\n const BASE = 400000;\n const stemSet = (s: string) => new Set(s.split(\"-\").filter(x => x.length > 2 && !STOP.has(x)).map(x => x.slice(0, 5)));\n cands.forEach((c, i) => {\n const own = ((j?.data?.[`t${i}`]?.keywords?.edges) || []).map((e: any) => slug(String(e.node?.text || \"\")));\n const ownStems = own.map((o: string) => ({ o, st: stemSet(o) }));\n const used = new Set();\n let hit = 0, idf = 0;\n const matched: string[] = [];\n for (const k of qk) {\n const mine = stemSet(k.slug);\n if (!mine.size) continue;\n /* ⚠️ المطابقة الحرفية للوسم كانت تُسقط الصحيح: Dark يحمل \"missing child\"\n و\"german town\" بينما وصفك أنتج \"missing children\" و\"german\" — نفس المعنى،\n سلسلة مختلفة. فالمطابقة الآن بتداخل الجذور (أحدهما يحتوي الآخر). */\n let best: any = null, exact = false;\n for (const o of ownStems) {\n if (used.has(o.o)) continue;\n if (o.o === k.slug) { best = o; exact = true; break; }\n /* ⚠️ بگ مقاس: وسم بلا جذور معتبرة (k9 · ak-47) مجموعته فارغة،\n و«every» على مجموعة فارغة ترجع true — فينتج تطابق كاذب تماماً.\n الشرط الآن: الطرفان غير فارغين، ومع تداخل فعلي. */\n if (!o.st.size || !mine.size) continue;\n const sub = [...mine].every(x => o.st.has(x)) || [...o.st].every(x => mine.has(x));\n if (sub && !best) best = o;\n }\n if (!best) continue;\n used.add(best.o);\n hit++;\n idf += Math.log(BASE / Math.max(k.total, 5)) * (exact ? 1 : 0.7);\n matched.push(k.slug + (exact ? \"\" : \"≈\" + best.o));\n }\n c.hit = hit; c.idf = +idf.toFixed(2); c.matched = matched;\n });\n } catch (e) { dbg.verifyErr = String(e).slice(0, 120); }\n }\n\n const ranked = cands\n .sort((a, b) => (b.hit || 0) - (a.hit || 0) || (b.idf || 0) - (a.idf || 0))\n .slice(0, 8);\n dbg.ms = Date.now() - t0;\n return { items: ranked, debug: dbg };\n}\n",[199],"0399d86d-3497-4b1c-bd7c-45a126c8f86b","kwbench.ts","7dc0073a-afa1-11f1-b4e3-1607ee4eb77e",47,["D",1789324674682],2,"import { findByKeywords } from \"./kwengine.ts\";\n\nconst CASES: [string, string][] = [\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"A Quiet Place\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"Dark\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"Inception\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"Squid Game\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"Up\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"Groundhog\"],\n];\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const i = Number(url.searchParams.get(\"i\") || \"0\");\n const rows: any[] = [];\n for (const [q, expect] of CASES.slice(i, i + 2)) {\n try {\n const r = await findByKeywords(q);\n const titles = (r.items || []).map((x: any) => x.t);\n rows.push({\n q, expect,\n rankAuto: titles.findIndex((t: string) => new RegExp(expect, \"i\").test(t || \"\")),\n chips: r.debug.chosen,\n top: (r.items || []).slice(0, 4).map((x: any) => x.t + \" [\" + x.hit + \"·\" + x.idf + \"] \" + (x.matched || []).join(\"،\")),\n ms: r.debug.ms,\n });\n } catch (e) { rows.push({ q, err: String(e).slice(0, 200) }); }\n }\n return Response.json(rows);\n}\n",[207],"d2d683fb-48b0-4ab3-876a-b82e4ff33f87",["D",1789369116962],[27],"58fcb378-0d8d-4c20-9013-c7fc5129d460","imdbbuild.ts","96cb2102-b009-11f1-ba79-1607ee4eb77e",75,["D",1789369065617],"/* يبني قاعدة قياس مصغَّرة بملخّصات IMDb الكاملة (٦ لكل عمل) */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\nconst KEY = \"imdbcorpus_v1\";\n\nasync function gql(q: string) {\n try {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query: q }), signal: AbortSignal.timeout(20000) });\n return await r.json();\n } catch { return null; }\n}\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\n\n/* نسحب ملخّصات ٥ أعمال بنداء واحد عبر الأسماء المستعارة — يقلّل النداءات ٥ أضعاف */\nasync function plotsBatch(ids: string[]) {\n const alias = ids.map((id, i) => `t${i}: title(id: ${JSON.stringify(id)}) {\n titleText { text } plots(first: 6) { edges { node { plotText { plainText } plotType } } } }`).join(\" \");\n const r = await gql(`query { ${alias} }`);\n return ids.map((id, i) => {\n const t = r?.data?.[`t${i}`];\n const texts = (t?.plots?.edges || []).map((e: any) => String(e.node?.plotText?.plainText || \"\")).filter(Boolean);\n return { id, imdbTitle: t?.titleText?.text || \"\", plots: texts };\n });\n}\n\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n const out: R[] = []; let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; out[k] = await fn(items[k]); }\n }));\n return out;\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"1\");\n const to = Number(u.searchParams.get(\"to\") || \"3\");\n\n let prev: any[] = [];\n try { prev = (await blob.getJSON(KEY)) as any[] || []; } catch { /* أول مرة */ }\n const seen = new Set(prev.map((r: any) => r.kind + \":\" + r.id));\n\n /* ١) نجمع أعمالاً من TMDB مع معرّف IMDb */\n const pages: [string, number][] = [];\n for (let p = from; p <= to; p++) { pages.push([\"movie\", p]); pages.push([\"tv\", p]); }\n const base = (await pool(pages, 6, async ([kind, p]) => {\n const d = await j(`${SH}/tmdb/discover/${kind}?sort_by=popularity.desc&page=${p}&vote_count.gte=100`);\n return (d?.results || []).map((x: any) => ({\n id: x.id, kind, title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n }));\n })).flat().filter((r: any) => !seen.has(r.kind + \":\" + r.id));\n\n /* ٢) معرّف IMDb لكل عمل */\n const withImdb = await pool(base, 12, async (r: any) => {\n const e = await j(`${SH}/tmdb/${r.kind}/${r.id}/external_ids`);\n r.imdb = e?.imdb_id || null;\n return r;\n });\n const ok = withImdb.filter((r: any) => r.imdb);\n\n /* ٣) ملخّصات IMDb — دفعات من ٥ */\n const groups: any[][] = [];\n for (let i = 0; i < ok.length; i += 5) groups.push(ok.slice(i, i + 5));\n const plotted = await pool(groups, 5, async (g: any[]) => {\n const res = await plotsBatch(g.map(r => r.imdb));\n g.forEach((r, i) => { r.plots = res[i]?.plots || []; });\n return g;\n });\n\n const all = prev.concat(plotted.flat());\n await blob.setJSON(KEY, all);\n const withPlots = all.filter((r: any) => (r.plots || []).length);\n return Response.json({\n added: plotted.flat().length, total: all.length,\n withPlots: withPlots.length,\n avgPlots: +(withPlots.reduce((a: number, r: any) => a + r.plots.length, 0) / (withPlots.length || 1)).toFixed(1),\n });\n}\n",[218],"4bfedf98-1822-4183-8af2-03e15ea129c7","engine.ts","5a8211d8-af9b-11f1-9a30-1607ee4eb77e",["D",1789322565717],"/* ابحث بالوصف — الأنبوب المجاني بالكامل (نسخة ٢: تصويت + تحقّق + عدّ تكرار)\n وصف → /translate (خادم شاشتي) → ٣ بحوث متوازية بـSearXNG (أوراكل) →\n تصويت + عدّ تكرار بالنصوص → TMDB → تحقّق من الملخص → بطاقات.\n صفر ذكاء اصطناعي · صفر حصة · صفر طرف ثالث مدفوع. */\n\nconst SHASHTI = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst SEARX = \"http://145.241.108.185:8888/search\";\n\nconst NOISE = [\n \"imdb\", \"rotten tomatoes\", \"letterboxd\", \"netflix\", \"wikipedia\", \"youtube\",\n \"metacritic\", \"justwatch\", \"prime video\", \"reddit\", \"trailer\", \"official trailer\",\n \"movie review\", \"film review\", \"watch online\", \"cast and crew\", \"plot summary\",\n \"the movie database\", \"tmdb\", \"moviefone\", \"fandom\", \"quotes\", \"ending explained\",\n \"best movies\", \"best tv shows\", \"list of films\", \"similar movies\",\n];\n\n/* كلمات لا تحمل معنى تمييزياً — تُستبعد من التحقّق بالملخص (ب) */\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been \" +\n \"his her its their this that these those who whom which what when where how why \" +\n \"about after before during while into onto over under between out up down off \" +\n \"he she it they them him we you i my your our movie film series show tv season episode \" +\n \"one two three new old man woman boy girl people story about make makes made get gets \" +\n \"must can will would could should has have had do does did not no all some any more most\").split(\" \"));\n\nfunction words(s: string): string[] {\n return String(s || \"\").toLowerCase().replace(/[^a-z0-9\\u0600-\\u06FF]+/g, \" \")\n .split(\" \").filter(w => w.length > 2 && !STOP.has(w));\n}\n\nfunction cleanTitle(raw: string): string {\n let t = String(raw || \"\");\n t = t.split(/\\s+[-–|:]\\s+/)[0];\n t = t.replace(/\$(?:TV\\s+(?:Series|Mini[- ]?Series|Movie)\\s*)?\\d{4}(?:[–-]\\s*\\d{0,4})?\$/gi, \"\");\n t = t.replace(/\$\\s*(?:TV\\s+Series|Film|Movie|مسلسل|فيلم)\\s*\$/gi, \"\");\n t = t.replace(/[\"'“”‘’]/g, \"\").replace(/\\s+/g, \" \").trim();\n t = t.replace(/^(?:watch|stream|أشاهد|شاهد)\\s+/i, \"\").trim();\n return t;\n}\n\nfunction isNoise(t: string): boolean {\n const low = t.toLowerCase();\n if (low.length < 2 || low.length > 60) return true;\n return NOISE.some(n => low === n || low.startsWith(n + \" \") || low.endsWith(\" \" + n));\n}\n\ntype Cand = {\n key: string; imdb?: string; tmdb?: string; tmdbType?: string; title?: string;\n score: number; queries: Set; mentions: number; why: string[];\n};\n\nasync function searx(q: string) {\n const u = SEARX + \"?q=\" + encodeURIComponent(q) + \"&format=json\";\n const r = await fetch(u, { signal: AbortSignal.timeout(22000) });\n if (!r.ok) throw new Error(\"searx \" + r.status);\n const j = await r.json();\n return (j?.results || []) as any[];\n}\n\n/* ═══ (أ) تصويت: نجمع مرشَّحي عدة بحوث بمخزن واحد ═══ */\nfunction harvest(map: Map, results: any[], qTag: string, qWeight: number) {\n const bump = (key: string, w: number, patch: Partial, why: string) => {\n let c = map.get(key);\n if (!c) { c = { key, score: 0, queries: new Set(), mentions: 0, why: [] }; map.set(key, c); }\n for (const k in patch) if ((patch as any)[k] != null && (c as any)[k] == null) (c as any)[k] = (patch as any)[k];\n c.score += w * qWeight;\n c.queries.add(qTag);\n if (c.why.length < 3) c.why.push(why);\n };\n\n results.slice(0, 20).forEach((res, i) => {\n const url = String(res?.url || \"\");\n const title = String(res?.title || \"\");\n const w = 1 / (i + 1);\n\n const tt = url.match(/imdb\\.com\\/title\\/(tt\\d+)/i);\n if (tt) { bump(\"imdb:\" + tt[1], w * 3, { imdb: tt[1], title: cleanTitle(title) }, title.slice(0, 90)); return; }\n\n const tm = url.match(/themoviedb\\.org\\/(movie|tv)\\/(\\d+)/i);\n if (tm) { bump(\"tmdb:\" + tm[1] + \":\" + tm[2], w * 3, { tmdb: tm[2], tmdbType: tm[1].toLowerCase(), title: cleanTitle(title) }, title.slice(0, 90)); return; }\n\n if (/rottentomatoes\\.com|letterboxd\\.com|netflix\\.com|wikipedia\\.org|metacritic\\.com|justwatch\\.com|thetvdb\\.com|trakt\\.tv/i.test(url)) {\n const t = cleanTitle(title);\n if (t && !isNoise(t)) bump(\"name:\" + t.toLowerCase(), w * 2, { title: t }, title.slice(0, 90));\n }\n });\n}\n\n/* ═══ (ج) عدّ تكرار اسم العمل داخل نصوص كل النتائج ═══\n العمل الصحيح يُذكر بعناوين ومقتطفات كثيرة، لا برابط واحد فقط. */\nfunction countMentions(cands: Cand[], allText: string) {\n const hay = allText.toLowerCase();\n for (const c of cands) {\n const t = (c.title || \"\").toLowerCase().trim();\n if (t.length < 3) { c.mentions = 0; continue; }\n let n = 0, from = 0;\n while (true) {\n const at = hay.indexOf(t, from);\n if (at === -1) break;\n n++; from = at + t.length;\n if (n > 40) break;\n }\n c.mentions = n;\n }\n}\n\nasync function tmdbFind(imdb: string) {\n const r = await fetch(SHASHTI + \"/tmdb/find/\" + imdb + \"?external_source=imdb_id\", { signal: AbortSignal.timeout(15000) });\n if (!r.ok) return null;\n const j = await r.json();\n const mv = j?.movie_results?.[0], tv = j?.tv_results?.[0];\n if (mv) return { ...mv, _isMovie: true };\n if (tv) return { ...tv, _isMovie: false };\n return null;\n}\n\nasync function tmdbSearch(name: string) {\n const [m, t] = await Promise.all([\n fetch(SHASHTI + \"/tmdb/search/movie?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n fetch(SHASHTI + \"/tmdb/search/tv?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n ]);\n const norm = (s: any) => String(s || \"\").toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n const want = norm(name);\n const movies = (m?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: true }));\n const shows = (t?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: false }));\n const all = [...movies, ...shows];\n const exact = all.filter(x => norm(x.title || x.name) === want || norm(x.original_title || x.original_name) === want);\n const pool = exact.length ? exact : all;\n pool.sort((a: any, b: any) => (b.popularity || 0) - (a.popularity || 0));\n return pool[0] || null;\n}\n\nasync function tmdbById(id: string, type: string) {\n const r = await fetch(SHASHTI + \"/tmdb/\" + (type === \"tv\" ? \"tv\" : \"movie\") + \"/\" + id, { signal: AbortSignal.timeout(15000) }).then(x => x.ok ? x.json() : null).catch(() => null);\n if (!r?.id) return null;\n return { ...r, _isMovie: type !== \"tv\" };\n}\n\nexport async function findByPlot(raw: string) {\n const t0 = Date.now();\n const dbg: any = {};\n const arabic = /[\\u0600-\\u06FF]/.test(raw.trim());\n let en = raw.trim();\n\n if (arabic) {\n try {\n const tr = await fetch(SHASHTI + \"/translate?q=\" + encodeURIComponent(raw.trim()) + \"&target=en\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (tr?.text) en = String(tr.text);\n } catch { /* نكمل بالنص كما هو */ }\n }\n dbg.translated = en;\n\n /* ═══ (أ) ثلاثة بحوث متوازية — صياغات مختلفة، إجماعها أوثق من ترتيب بحث واحد ═══\n ١) الإنجليزي + \"movie or tv series\" (الصياغة الأصلية، أثبتت نجاحها)\n ٢) الإنجليزي عارياً + \"what movie is\" (صياغة السؤال، تلتقط منتديات وأسئلة الناس)\n ٣) العربي كما كتبه (مقالات عربية تصف الأعمال بلغة المستخدم نفسها) */\n const queries: { tag: string; q: string; w: number }[] = [\n { tag: \"en\", q: en + \" movie or tv series\", w: 1.0 },\n { tag: \"ask\", q: \"what movie or series is this: \" + en, w: 0.9 },\n ];\n if (arabic) queries.push({ tag: \"ar\", q: raw.trim() + \" فلم او مسلسل\", w: 0.8 });\n else queries.push({ tag: \"plot\", q: en + \" plot summary film\", w: 0.8 });\n dbg.queries = queries.map(x => x.q);\n\n const runs = await Promise.all(queries.map(async x => {\n try { return { tag: x.tag, w: x.w, results: await searx(x.q) }; }\n catch (e) { return { tag: x.tag, w: x.w, results: [] as any[], err: String(e).slice(0, 120) }; }\n }));\n dbg.perQuery = runs.map(r => ({ tag: r.tag, n: r.results.length, err: (r as any).err }));\n\n const map = new Map();\n let allText = \"\";\n for (const r of runs) {\n harvest(map, r.results, r.tag, r.w);\n allText += \" \" + r.results.slice(0, 20).map((x: any) => (x?.title || \"\") + \" \" + (x?.content || \"\")).join(\" \");\n }\n\n let cands = [...map.values()];\n countMentions(cands, allText);\n\n /* الدمج النهائي للوزن:\n - وزن الموقع (score) الأساس\n - ×(١ + عدد البحوث اللي ظهر فيها) ← تصويت (أ)\n - + جذر عدد التكرارات ← (ج) */\n for (const c of cands) {\n const vote = 1 + (c.queries.size - 1) * 1.2;\n (c as any).final = c.score * vote + Math.sqrt(c.mentions) * 0.35;\n }\n cands.sort((a: any, b: any) => b.final - a.final);\n cands = cands.slice(0, 8);\n dbg.candidates = cands.map((c: any) => ({\n title: c.title, final: +c.final.toFixed(2), pos: +c.score.toFixed(2),\n votes: [...c.queries].join(\"+\"), mentions: c.mentions,\n }));\n\n /* ═══ تحويل لبطاقات + (ب) التحقّق من الملخص ═══ */\n const qWords = new Set(words(en));\n const items: any[] = [];\n const seen = new Set();\n const rejected: any[] = [];\n\n /* الحل بالتوازي لا بالتسلسل — ثمانية مرشَّحين تسلسلياً كانوا ~١٣ث وحدهم (مقاس) */\n const resolved = await Promise.all(cands.map(async (c) => {\n try {\n if (c.imdb) return { c, hit: await tmdbFind(c.imdb) };\n if (c.tmdb) return { c, hit: await tmdbById(c.tmdb, c.tmdbType || \"movie\") };\n if (c.title) return { c, hit: await tmdbSearch(c.title) };\n } catch { /* مرشَّح فشل، نكمل */ }\n return { c, hit: null as any };\n }));\n\n for (const { c, hit } of resolved) {\n if (items.length >= 5) break;\n if (!hit?.id || seen.has(hit.id)) continue;\n seen.add(hit.id);\n\n /* (ب) التحقّق: كم كلمة معنى مشتركة بين وصفك وملخّص العمل؟ */\n const ovWords = new Set(words((hit.overview || \"\") + \" \" + (hit.title || hit.name || \"\")));\n let shared = 0;\n for (const w of qWords) if (ovWords.has(w)) shared++;\n const overlap = qWords.size ? shared / qWords.size : 0;\n\n const item = {\n id: hit.id,\n imdb: c.imdb || null,\n isMovie: !!hit._isMovie,\n title: hit.title || hit.name || c.title,\n year: String(hit.release_date || hit.first_air_date || \"\").slice(0, 4) || null,\n poster: hit.poster_path ? \"https://image.tmdb.org/t/p/w185\" + hit.poster_path : null,\n overview: hit.overview || \"\",\n rating: hit.vote_average ? Math.round(hit.vote_average * 10) / 10 : null,\n votes: [...c.queries].join(\"+\"),\n voteCount: c.queries.size,\n mentions: c.mentions,\n shared,\n overlap: +overlap.toFixed(2),\n base: +(c as any).final.toFixed(2),\n final: 0,\n why: c.why,\n };\n\n /* الملخّص بصفر كلمة مشتركة **وبلا إجماع** = مرشَّح ضعيف يُسقَط.\n (لو ظهر ببحثين أو أكثر نبقيه — الإجماع يغطّي ملخصاً فقيراً بالكلمات.) */\n if (shared === 0 && c.queries.size < 2 && c.mentions < 3) {\n rejected.push({ title: item.title, reason: \"صفر تطابق بالملخص وبلا إجماع\" });\n continue;\n }\n\n item.final = +((c as any).final * (1 + overlap * 1.5)).toFixed(2);\n items.push(item);\n }\n\n /* الترتيب النهائي بعد التحقّق — التطابق بالملخص يقدر يقلب الترتيب */\n items.sort((a, b) => b.final - a.final);\n dbg.rejected = rejected;\n dbg.ms = Date.now() - t0;\n return { items: items.slice(0, 4), debug: dbg };\n}\n",[225],"afe77f16-63be-4d07-87fe-88e7ff065bdf","embtest.ts","07940258-aff8-11f1-b3bc-1607ee4eb77e",70,["D",1789361552552],"/* محاولة ثانية: نسخة أقدم من المكتبة (onnxruntime-web) — بعض البيئات تدعمها وحدها */\nexport default async function (req: Request): Promise {\n const out: any = {};\n const variants = [\n \"https://esm.sh/@xenova/transformers@2.17.2\",\n \"https://esm.sh/@huggingface/transformers@3.7.5\",\n ];\n for (const url of variants) {\n const o: any = {};\n const t0 = Date.now();\n try {\n const mod: any = await import(url);\n o.import = Date.now() - t0;\n if (mod.env) { mod.env.allowLocalModels = false; mod.env.useBrowserCache = false; }\n const t1 = Date.now();\n const ex: any = await mod.pipeline(\"feature-extraction\", \"Xenova/all-MiniLM-L6-v2\");\n o.load = Date.now() - t1;\n const t2 = Date.now();\n const e = await ex([\"a family lives in silence\"], { pooling: \"mean\", normalize: true });\n o.embed = Date.now() - t2;\n o.dims = e.dims;\n o.ok = true;\n } catch (e) { o.err = String(e).slice(0, 200); }\n out[url] = o;\n if (o.ok) break;\n }\n return Response.json(out);\n}\n",[231],"d98272bf-c5c3-4224-b315-5260340fee7d","corpus.ts","dfc53fe6-affa-11f1-98ef-1607ee4eb77e",72,["D",1789362745600],"/* يضمن وجود أعمال الاختبار بالقاعدة + يخدم القاعدة للجوال مع CORS */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst KEY = \"corpus_v1\";\n\nconst WANT: [string, string][] = [\n [\"movie\", \"A Quiet Place\"], [\"tv\", \"Dark\"], [\"movie\", \"Inception\"], [\"tv\", \"Squid Game\"],\n [\"tv\", \"Severance\"], [\"movie\", \"The Sixth Sense\"], [\"movie\", \"Up\"], [\"movie\", \"Groundhog Day\"],\n [\"tv\", \"Breaking Bad\"], [\"movie\", \"The Lincoln Lawyer\"], [\"movie\", \"The Matrix\"],\n [\"movie\", \"Interstellar\"], [\"movie\", \"Parasite\"], [\"tv\", \"Chernobyl\"], [\"movie\", \"Titanic\"],\n];\n\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n let all: any[] = (await blob.getJSON(KEY)) as any[] || [];\n\n if (u.searchParams.get(\"ensure\")) {\n const have = new Set(all.map(r => String(r.title || \"\").toLowerCase()));\n const added: string[] = [];\n for (const [kind, name] of WANT) {\n if (have.has(name.toLowerCase())) continue;\n const s = await j(`${SH}/tmdb/search/${kind}?query=${encodeURIComponent(name)}`);\n const x = s?.results?.[0];\n if (!x) continue;\n const d = await j(`${SH}/tmdb/${kind}/${x.id}?append_to_response=keywords`);\n const kwo = d?.keywords || {};\n all.push({\n id: x.id, kind, title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n kw: ((kwo.keywords || kwo.results || []) as any[]).map(w => w.name).slice(0, 20),\n genres: (d?.genres || []).map((g: any) => g.name),\n });\n added.push(name);\n }\n await blob.setJSON(KEY, all);\n return Response.json({ added, total: all.length });\n }\n\n /* نخدم نصاً مضغوطاً: سطر لكل عمل — أخف بكثير من JSON كامل للجوال */\n const lines = all.map(r => [\n r.kind, r.id, r.title, r.year,\n [r.title, (r.genres || []).join(\", \"), (r.kw || []).join(\", \"), r.ov].filter(Boolean).join(\" . \"),\n ].join(\"\\t\"));\n return new Response(lines.join(\"\\n\"), {\n headers: {\n \"content-type\": \"text/plain; charset=utf-8\",\n \"access-control-allow-origin\": \"*\",\n \"cache-control\": \"public, max-age=3600\",\n },\n });\n}\n",[238],"35cd0857-e581-43e0-ac6c-d0d323cf9ed9","build.ts","bf6cdb32-affa-11f1-97d5-1607ee4eb77e",71,["D",1789362691334],"/* يبني قاعدة القياس داخل Val Town (ملخص + وسوم بشرية) ويخزّنها بالبلوب.\n السبب: الجوال يحتاج ملفاً واحداً يحمّله، والبناء هنا يتجنّب نقل ٣ ميجا يدوياً. */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst KEY = \"corpus_v1\";\n\nasync function j(u: string) {\n for (let i = 0; i < 2; i++) {\n try {\n const r = await fetch(u, { signal: AbortSignal.timeout(15000) });\n if (r.ok) return await r.json();\n } catch { /* نعيد المحاولة */ }\n }\n return null;\n}\n\nasync function page(kind: string, p: number) {\n const d = await j(`${SH}/tmdb/discover/${kind}?sort_by=popularity.desc&page=${p}&vote_count.gte=100`);\n return (d?.results || []).map((x: any) => ({\n id: x.id, kind,\n title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n })).filter((r: any) => r.ov.length > 40);\n}\n\nasync function details(r: any) {\n const d = await j(`${SH}/tmdb/${r.kind}/${r.id}?append_to_response=keywords`);\n if (!d) return r;\n const kwo = d.keywords || {};\n r.kw = ((kwo.keywords || kwo.results || []) as any[]).map(w => w.name).slice(0, 20);\n r.genres = (d.genres || []).map((g: any) => g.name);\n return r;\n}\n\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n const out: R[] = []; let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; out[k] = await fn(items[k]); }\n }));\n return out;\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"1\");\n const to = Number(u.searchParams.get(\"to\") || \"10\");\n\n let prev: any[] = [];\n try { prev = (await blob.getJSON(KEY)) as any[] || []; } catch { /* أول مرة */ }\n\n const pages: [string, number][] = [];\n for (let p = from; p <= to; p++) { pages.push([\"movie\", p]); pages.push([\"tv\", p]); }\n const got = (await pool(pages, 8, ([k, p]) => page(k, p))).flat();\n\n const seen = new Set(prev.map((r: any) => r.kind + \":\" + r.id));\n const fresh = got.filter((r: any) => !seen.has(r.kind + \":\" + r.id));\n const enriched = await pool(fresh, 14, details);\n\n const all = prev.concat(enriched);\n await blob.setJSON(KEY, all);\n return Response.json({ pagesFrom: from, pagesTo: to, added: enriched.length, total: all.length });\n}\n",[245],"35e9ae69-12fa-405c-8206-acef9afc49f6","bench.ts","a5c06a0e-af9c-11f1-8730-1607ee4eb77e",12,["D",1789322312741],"import { findByPlot } from \"./engine.ts\";\n\nconst TESTS = [\n \"فلم عن طبيب يخبي زوجته الميتة بالقبو\",\n \"مسلسل كوري عن لعبة موت والفايز ياخذ فلوس\",\n \"فلم قديم عن رجل يعيش نفس اليوم مرة ورا مرة\",\n \"مسلسل عن محامي يشتغل بسيارته\",\n \"فلم عن ولد يقدر يشوف الأموات\",\n \"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\",\n \"فلم عن رجل عجوز يربط بيته ببالونات ويطير\",\n \"فلم عن غواصة روسية تهرب لأمريكا\",\n];\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const i = Number(url.searchParams.get(\"i\") || \"0\");\n const slice = TESTS.slice(i, i + 3);\n const out: any[] = [];\n for (const t of slice) {\n try {\n const r = await findByPlot(t);\n out.push({\n q: t,\n tr: r.debug.translated,\n n: r.debug.resultCount,\n ms: r.debug.ms,\n top: (r.items || []).map((x: any) => x.title + (x.year ? \" (\" + x.year + \")\" : \"\")),\n });\n } catch (e) {\n out.push({ q: t, error: String(e).slice(0, 200) });\n }\n }\n return 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