[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_104":105,"_106":107},"routes/embed.x.$handle.$name.$",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":-5},"handle","q8kamikaze","name","plotmock","path","plotsearch.ts","project",{"_22":45,"_11":12,"_33":46,"_47":-5,"_48":42,"_49":50,"_51":50,"_52":53,"_54":-5,"_55":56,"_57":58,"_59":32,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":42},"file",{"_22":23,"_11":14,"_24":25,"_26":-5,"_27":28,"_29":30,"_31":32,"_33":34,"_35":36,"_37":38,"_39":40,"_41":42,"_43":-5,"_13":44},"permalink","https://www.val.town/x/q8kamikaze/plotmock/code/plotsearch.ts","extension","id","13b06a5d-5a6b-47d7-a6ab-3013d750d481","fileId","98aa950c-b02c-11f1-8604-1607ee4eb77e","parentId","branchId","41ecad4a-db8d-4b21-8de0-73eb4a2ad6f7","branchVersion",219,"latest",true,"createdAt",["D",1789503450522],"version",24,"fileType","http","content","/* ابحث بالوصف — نسخة FTS5 (المقاسة: ٦٩٪ أول · ٨٩٪ ضمن٥ · ٢٠ مللي) */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst JKEY = () => Deno.env.get(\"JINA_KEY2\") || \"\";\n\n/* الطبقة ٣: إعادة الترتيب — تقرأ الوصف بالعربي مباشرة وترتّب المرشّحين الأربعين.\n المقاس: ٦٤٪ مركز أول مقابل ٥٨٪ بلا ترتيب · Parasite خارج←#١ · Dark Knight خارج←#٣ */\nasync function rerank(query: string, docs: string[], top = 20) {\n for (let a = 0; a < 2; a++) {\n try {\n const r = await fetch(\"https://api.jina.ai/v1/rerank\", {\n method: \"POST\",\n headers: { \"content-type\": \"application/json\", authorization: \"Bearer \" + JKEY() },\n body: JSON.stringify({ model: \"jina-reranker-v2-base-multilingual\", query, documents: docs, top_n: top }),\n signal: AbortSignal.timeout(25000),\n });\n const j = await r.json();\n if (j?.results) return j.results.map((x: any) => ({ i: x.index as number, s: x.relevance_score as number }));\n } catch { /* نعيد مرة */ }\n await new Promise(s => setTimeout(s, 1500));\n }\n return null;\n}\n\n/* الطبقة ٤: رقائق وسوم IMDb — للحسم اليدوي حين يكون الوصف غامضاً.\n المقاس سابقاً: silence+monster → A Quiet Place · time-travel+cave → Dark #١ */\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst GH = {\n \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\", \"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 try {\n const r = await fetch(GQL, { method: \"POST\", headers: GH, body: JSON.stringify({ query }), signal: AbortSignal.timeout(20000) });\n return await r.json();\n } catch { return null; }\n}\nconst slugify = (s: string) => s.trim().toLowerCase().replace(/\\s+/g, \"-\");\n\n/* اقتراح وسوم حقيقية من مفردات IMDb انطلاقاً من كلمات الوصف */\nasync function suggestChips(en: string) {\n const STOP = new Set(\"a an the of in on at to for from by with and or but is are was were be about after who that this its their he she it they them his her one two three movie film series show season episode\".split(\" \"));\n const words = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 3 && !STOP.has(w));\n const seeds = [...new Set(words)].slice(0, 6);\n const lists = await Promise.all(seeds.map(async w => {\n const j = await gql(`query { mainSearch(first: 5, options: { searchTerm: ${JSON.stringify(w)}, 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 }));\n const seen = new Set(); const out: string[] = [];\n for (const l of lists) for (const k of l) { const s = slugify(k); if (!seen.has(s)) { seen.add(s); out.push(s); } }\n return out.slice(0, 18);\n}\n\n/* تقاطع الوسوم المختارة — IMDb يتطلب الشرطة لا المسافة (بگ مقاس سابقاً) */\nasync function byChips(chips: string[]) {\n const j = await gql(`query { advancedTitleSearch(first: 12, sort: { sortBy: POPULARITY, sortOrder: ASC },\n constraints: { keywordConstraint: { allKeywords: ${JSON.stringify(chips)} },\n explicitContentConstraint: { explicitContentFilter: EXCLUDE_ADULT } })\n { total edges { node { title { id titleText { text } releaseYear { year } titleType { id }\n primaryImage { url } ratingsSummary { aggregateRating } plot { plotText { plainText } } } } } } }`);\n const d = j?.data?.advancedTitleSearch;\n return {\n total: d?.total ?? 0,\n items: (d?.edges || []).map((e: any) => ({\n title: e.node?.title?.titleText?.text, year: e.node?.title?.releaseYear?.year,\n kind: String(e.node?.title?.titleType?.id || \"\").startsWith(\"tv\") ? \"tv\" : \"movie\",\n imdb: e.node?.title?.id, poster: e.node?.title?.primaryImage?.url || null,\n rating: e.node?.title?.ratingsSummary?.aggregateRating ?? null,\n ov: e.node?.title?.plot?.plotText?.plainText || \"\",\n })),\n };\n}\n\nasync function api(q: string) {\n const t0 = Date.now();\n let en = q.trim(), trMs = 0;\n if (/[\\u0600-\\u06FF]/.test(en)) {\n const t = Date.now();\n try {\n const r = await fetch(`${SH}/translate?q=${encodeURIComponent(en)}&target=en`, { signal: AbortSignal.timeout(15000) })\n .then(x => x.ok ? x.json() : null);\n if (r?.text) en = String(r.text);\n } catch { /* نكمل بالأصل */ }\n trMs = Date.now() - t;\n }\n const terms = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n if (!terms.length) return { items: [], debug: { en, note: \"لا كلمات صالحة\" } };\n\n const wantsTv = /مسلسل|series\\b|\\bshow\\b|season/i.test(q);\n const wantsMovie = /فلم|فيلم|movie|film/i.test(q) && !wantsTv;\n\n const tS = Date.now();\n /* الطبقة ١: الترشيح اللفظي من ٢٤٠٤٠ عملاً — الفهرس الخماسي.\n عنوان · ملخّصات IMDb · وسوم · طاقم(٢) · عربي(٢)\n ⚠️ الوصف السمعي (عمود سادس) رُفض بالقياس على النطاق الكامل: بدا مكسباً على\n ٢٣٣٣ عملاً ثم خفّض الدقة من ٦٧٪ إلى ٥٥٪ على ٢٤ ألفاً — النص البصري العام\n يجعل آلاف الأعمال تطابق أي كلمة («يمشي» · «ينظر»). */\n const arTerms = (q.match(/[\\u0600-\\u06FF]{3,}/g) || []).slice(0, 8);\n const allTerms = [...terms.map(w => `\"${w}\"`), ...arTerms.map(w => `\"${w}\"`)];\n const r = await sqlite.execute({\n sql: `SELECT title, kind, year, tmdbid, bm25(plotP,1,1,1,2,2) AS s,\n snippet(plotP, 1, '«', '»', '…', 18) AS sn,\n substr(plots,1,380) AS body, substr(kw,1,200) AS kws\n FROM plotP WHERE plotP MATCH ? ORDER BY s LIMIT 40`,\n args: [allTerms.join(\" OR \")],\n });\n const searchMs = Date.now() - tS;\n\n let rows = (r.rows || []).map((x: any) => ({\n title: String(x[0]), kind: String(x[1]), year: String(x[2]), tmdbid: String(x[3]),\n score: -Number(x[4]), snippet: String(x[5] || \"\"),\n doc: `${x[0]} (${x[2]}, ${String(x[1]) === \"tv\" ? \"TV series\" : \"film\"}). ${String(x[6] || \"\")} Keywords: ${String(x[7] || \"\")}`,\n }));\n\n /* الطبقة ٢: إعادة الترتيب بالوصف الأصلي (عربي أو إنجليزي) */\n const tR = Date.now();\n let reranked = false, topScore = 0;\n if (rows.length > 1) {\n const rr = await rerank(q, rows.map(x => x.doc), 20);\n if (rr) {\n reranked = true;\n /* ⚠️ بگ مقاس: إعادة الترتيب تقرأ الإنجليزي فقط، فتُهمل مطابقة عربية ساحقة\n (فلم «ذيب» بدرجة لفظية ٦٢ مقابل ١٠ للثاني، ومع ذلك نزل للمركز الثاني).\n العلاج: مطابقة لفظية استثنائية (ضعف الوسيط) تُرجَّح داخل الترتيب النهائي. */\n const scores = rows.map(x => x.score);\n const med = scores.slice().sort((a, b) => a - b)[Math.floor(scores.length / 2)] || 1;\n const merged = rr.map((x: any) => {\n const row = rows[x.i];\n const lexBoost = row.score > med * 2.5 ? Math.min(0.25, (row.score / med - 2.5) * 0.02) : 0;\n return { ...row, rel: x.s, _final: x.s + lexBoost };\n }).sort((a: any, b: any) => b._final - a._final);\n topScore = merged[0]?._final || 0;\n rows = merged;\n }\n }\n const rerankMs = Date.now() - tR;\n\n /* ⚠️ بگ مقاس: هذا الترجيح كان يعيد الفرز بدرجة BM25 **بعد** إعادة الترتيب فيلغيها\n (Parasite بأعلى صلة ٠٫٦٢ ظهر سادساً). يُطبَّق الآن فقط حين لا تُعاد الترتيب. */\n if (!reranked && (wantsTv || wantsMovie)) {\n rows = rows.map(r2 => ({ ...r2, score: (r2.kind === \"tv\") === wantsTv ? r2.score : r2.score * 0.75 }))\n .sort((a, b) => b.score - a.score);\n }\n\n /* ⚠️ معايرة من سيناريوهات حقيقية: الوصف الصحيح يعطي ٠٫٥٥-٠٫٨٧،\n والوصف العشوائي («فيل بنفسجي يعلّم المحاسبة») يعطي ٠٫٢١-٠٫٣٣.\n فما دون ٠٫٣٥ ليس «ثقة متوسطة» بل لا نتيجة — وكان يُعرض كإجابة. */\n const gap = rows.length >= 3 ? rows[0].score - rows[2].score : 0;\n const conf = reranked\n ? (topScore >= 0.5 ? \"عالية\" : topScore >= 0.35 ? \"متوسطة\" : \"ضعيفة\")\n : (gap > 8 ? \"عالية\" : gap > 4 ? \"متوسطة\" : \"ضعيفة\");\n /* صفر نتيجة مقنعة: نصرّح بذلك بدل عرض أقرب شيء كأنه الجواب */\n const noMatch = reranked && topScore < 0.28;\n\n const top = rows.slice(0, 8);\n const posters = await Promise.all(top.map(async t => {\n try {\n const d = await fetch(`${SH}/tmdb/${t.kind}/${t.tmdbid}`, { signal: AbortSignal.timeout(8000) })\n .then(x => x.ok ? x.json() : null);\n return { poster: d?.poster_path ? \"https://image.tmdb.org/t/p/w185\" + d.poster_path : null,\n rating: d?.vote_average ? Math.round(d.vote_average * 10) / 10 : null,\n ov: d?.overview || \"\" };\n } catch { return { poster: null, rating: null, ov: \"\" }; }\n }));\n\n return {\n items: top.map((t, i) => ({ ...t, ...posters[i] })),\n chips: await suggestChips(en),\n debug: { en, trMs, searchMs, rerankMs, reranked, topScore: +topScore.toFixed(3), noMatch,\n totalMs: Date.now() - t0, gap: +gap.toFixed(1), conf, terms: terms.length },\n };\n}\n\nconst HTML = `\n\nابحث بالوصف\n\n\n

ابحث بالوصف 🎬

٢٠٥٦٣ عملاً · ترشيح لفظي ثم إعادة ترتيب تفهم العربي · صفر مساس بحصصك

\n\n\n

\n\n

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