[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_235":236,"_237":238},"routes/_app.x.$handle.$name",{"_97":96,"_32":45,"_106":87,"_27":107,"_13":14,"_108":-5,"_11":109,"_110":111,"_112":113,"_114":115,"_116":117,"_20":-5,"_118":-5,"_119":-5,"_120":25,"_121":122,"_123":59,"_124":-5,"_125":-5,"_126":127},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":57,"_58":59,"_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":25},"version",19,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","audio.ts","latestPath","fileId","7184b508-ac75-11f1-8c30-1607ee4eb77e","name","fileType","http","content","import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { UniversalEdgeTTS } from \"npm:edge-tts-universal\";\n\nconst VOICE = \"ar-EG-SalmaNeural\";\nconst RATE = \"-15%\";\n\nfunction splitText(text: string, maxChars = 1800) {\n const paras = text.split(/\\n\\s*\\n/).map(s => s.trim()).filter(Boolean);\n const chunks: string[] = [];\n let current = \"\";\n for (const p of paras) {\n const joined = current ? current + \"\\n\\n\" + p : p;\n if (joined.length <= maxChars) { current = joined; continue; }\n if (current) chunks.push(current);\n if (p.length <= maxChars) { current = p; continue; }\n const sentences = p.split(/(?<=[.!؟؛:])\\s+/);\n current = \"\";\n for (const s of sentences) {\n const candidate = current ? current + \" \" + s : s;\n if (candidate.length <= maxChars) current = candidate;\n else { if (current) chunks.push(current); current = s; }\n }\n }\n if (current) chunks.push(current);\n return chunks;\n}\n\nasync function getPartText(part: string) {\n return await (await blob.get(`thesis-part-${part}.txt`)).text();\n}\n\nfunction landingPage() {\n const links = Array.from({length:11}, (_,i) => {\n const n = String(i+1).padStart(2, \"0\");\n return `

`;\n }).join(\"\\n\");\n return `الفردوس المفقود — قراءة عربية

الفردوس المفقود — قراءة عربية

الصوت: ${VOICE}. افتح أي جزء ثم اضغط تشغيل. سيكمل المقاطع تلقائيًا.

${links}`;\n}\n\nfunction partPage(part: string, count: number) {\n const sources = Array.from({length:count}, (_,i) => `/part-${part}/chunk-${String(i+1).padStart(2,\"0\")}.mp3`);\n return `الجزء ${part}

← جميع الأجزاء

الجزء ${part}

جاهز للتشغيل — ${count} مقاطع صوتية قصيرة.

تحميل المقاطع منفردة

${sources.map((s,i)=>`المقطع ${String(i+1).padStart(2,\"0\")} MP3`).join(\"\")}

`;\n}\n\nexport default async function handler(req: Request) {\n const url = new URL(req.url);\n const path = url.pathname;\n\n if (path === \"/dns\") {\n const q = \"https://cloudflare-dns.com/dns-query?name=mohamed-arabic-thesis-audio.val.run&type=A\";\n const r = await fetch(q,{headers:{Accept:\"application/dns-json\"}});\n return new Response(await r.text(),{headers:{\"Content-Type\":\"application/json\"}});\n }\n\n if (path === \"/\") return new Response(landingPage(), {headers:{\"Content-Type\":\"text/html; charset=utf-8\",\"Cache-Control\":\"no-store\"}});\n\n const partPageMatch = path.match(/^\\/part-(\\d{2})\\/?$/);\n if (partPageMatch) {\n const part = partPageMatch[1];\n const n = Number(part); if (n < 1 || n > 11) return new Response(\"Not found\",{status:404});\n const chunks = splitText(await getPartText(part));\n return new Response(partPage(part,chunks.length), {headers:{\"Content-Type\":\"text/html; charset=utf-8\",\"Cache-Control\":\"no-store\"}});\n }\n\n const chunkMatch = path.match(/^\\/part-(\\d{2})\\/chunk-(\\d{2})\\.mp3$/);\n if (chunkMatch) {\n const part = chunkMatch[1]; const chunkNo = Number(chunkMatch[2]);\n const n = Number(part); if (n < 1 || n > 11) return new Response(\"Not found\",{status:404});\n const chunks = splitText(await getPartText(part));\n if (chunkNo < 1 || chunkNo > chunks.length) return new Response(\"Not found\",{status:404});\n if (req.method === \"HEAD\") return new Response(null,{headers:{\"Content-Type\":\"audio/mpeg\",\"X-Voice\":VOICE,\"X-Part\":part,\"X-Chunk\":String(chunkNo)}});\n const tts = new UniversalEdgeTTS(chunks[chunkNo-1], VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\"});\n const result = await tts.synthesize();\n return new Response(result.audio,{headers:{\"Content-Type\":\"audio/mpeg\",\"Content-Disposition\":`inline; filename=thesis-part-${part}-chunk-${String(chunkNo).padStart(2,\"0\")}.mp3`,\"Cache-Control\":\"public, max-age=3600\",\"X-Voice\":VOICE,\"X-Part\":part,\"X-Chunk\":String(chunkNo)}});\n }\n\n if (path === \"/prepare-part\") {\n const part = (url.searchParams.get(\"part\") || \"01\").padStart(2,\"0\");\n const chunks = splitText(await getPartText(part));\n const audios = await Promise.all(chunks.map(async (chunk) => {\n const tts = new UniversalEdgeTTS(chunk, VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\", format:\"audio-16khz-32kbitrate-mono-mp3\"});\n const result = await tts.synthesize();\n return await result.audio.arrayBuffer();\n }));\n const combined = new Blob(audios,{type:\"audio/mpeg\"});\n const key = `ready-part-${part}.mp3`;\n await blob.set(key, combined);\n return Response.json({ok:true,part,chunks:chunks.length,size:combined.size,format:\"32kbps-mp3\",voice:VOICE});\n }\n\n if (path === \"/prepare-one\") {\n const part = (url.searchParams.get(\"part\") || \"01\").padStart(2,\"0\");\n const chunkNo = Number(url.searchParams.get(\"chunk\") || \"1\");\n const reset = url.searchParams.get(\"reset\") === \"1\";\n const chunks = splitText(await getPartText(part));\n if (chunkNo < 1 || chunkNo > chunks.length) return new Response(\"bad chunk\",{status:400});\n const tts = new UniversalEdgeTTS(chunks[chunkNo-1], VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\", format:\"audio-16khz-32kbitrate-mono-mp3\"});\n const result = await tts.synthesize();\n const key = `ready-part-${part}.mp3`;\n let pieces: BodyInit[] = [];\n if (!reset) {\n try { pieces.push(await (await blob.get(key)).arrayBuffer()); } catch {}\n }\n pieces.push(result.audio);\n const combined = new Blob(pieces,{type:\"audio/mpeg\"});\n await blob.set(key, combined);\n const saved = await blob.get(key);\n return Response.json({ok:true,part,chunk:chunkNo,totalChunks:chunks.length,size:(await saved.arrayBuffer()).byteLength,format:\"32kbps-mp3\"});\n }\n\n if (path.match(/^\\/ready\\/part-(\\d{2})\\.mp3$/)) {\n const part = path.match(/^\\/ready\\/part-(\\d{2})\\.mp3$/)![1];\n try {\n const saved = await blob.get(`ready-part-${part}.mp3`);\n return new Response(saved.body,{headers:{\"Content-Type\":\"audio/mpeg\",\"Content-Disposition\":`attachment; filename=thesis-part-${part}-arabic.mp3`,\"Cache-Control\":\"public, max-age=86400\"}});\n } catch { return new Response(\"not ready\",{status:404}); }\n }\n\n if (path === \"/cache-test\") {\n const text = \"جامعة الإسكندرية، كلية الآداب، قسم اللغة العربية وآدابها. الفردوس المفقود في ديوان أحد عشر كوكبًا لمحمود درويش، دراسة نقدية.\";\n const tts = new UniversalEdgeTTS(text, VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\"});\n const result = await tts.synthesize();\n await blob.set(\"audio-test-sample.mp3\", result.audio);\n const saved = await blob.get(\"audio-test-sample.mp3\");\n return Response.json({ok:true, size:(await saved.arrayBuffer()).byteLength});\n }\n\n if (path === \"/b64-sample\") {\n const saved = await blob.get(\"audio-test-sample.mp3\");\n const bytes = new Uint8Array(await saved.arrayBuffer());\n let binary = \"\";\n for (let i=0;i s.trim()).filter(Boolean);\n const chunks: string[] = [];\n let current = \"\";\n for (const p of paras) {\n const joined = current ? current + \"\\n\\n\" + p : p;\n if (joined.length <= maxChars) { current = joined; continue; }\n if (current) chunks.push(current);\n if (p.length <= maxChars) { current = p; continue; }\n const sentences = p.split(/(?<=[.!؟؛:])\\s+/);\n current = \"\";\n for (const s of sentences) {\n const candidate = current ? current + \" \" + s : s;\n if (candidate.length <= maxChars) current = candidate;\n else { if (current) chunks.push(current); current = s; }\n }\n }\n if (current) chunks.push(current);\n return chunks;\n}\n\nasync function getPartText(part: string) {\n return await (await blob.get(`thesis-part-${part}.txt`)).text();\n}\n\nfunction landingPage() {\n const links = Array.from({length:11}, (_,i) => {\n const n = String(i+1).padStart(2, \"0\");\n return `

الجزء ${n}

`;\n }).join(\"\\n\");\n return `الفردوس المفقود — قراءة عربية

الفردوس المفقود — قراءة عربية

الصوت: ${VOICE}. افتح أي جزء ثم اضغط تشغيل. سيكمل المقاطع تلقائيًا.

← جميع الأجزاء

الجزء ${part}

جاهز للتشغيل — ${count} مقاطع صوتية قصيرة.

تحميل المقاطع منفردة

${sources.map((s,i)=>`المقطع ${String(i+1).padStart(2,\"0\")} MP3`).join(\"\")}

`;\n}\n\nexport default async function handler(req: Request) {\n const url = new URL(req.url);\n const path = url.pathname;\n\n if (path === \"/dns\") {\n const q = \"https://cloudflare-dns.com/dns-query?name=mohamed-arabic-thesis-audio.val.run&type=A\";\n const r = await fetch(q,{headers:{Accept:\"application/dns-json\"}});\n return new Response(await r.text(),{headers:{\"Content-Type\":\"application/json\"}});\n }\n\n if (path === \"/\") return new Response(landingPage(), {headers:{\"Content-Type\":\"text/html; charset=utf-8\",\"Cache-Control\":\"no-store\"}});\n\n const partPageMatch = path.match(/^\\/part-(\\d{2})\\/?$/);\n if (partPageMatch) {\n const part = partPageMatch[1];\n const n = Number(part); if (n < 1 || n > 11) return new Response(\"Not found\",{status:404});\n const chunks = splitText(await getPartText(part));\n return new Response(partPage(part,chunks.length), {headers:{\"Content-Type\":\"text/html; charset=utf-8\",\"Cache-Control\":\"no-store\"}});\n }\n\n const chunkMatch = path.match(/^\\/part-(\\d{2})\\/chunk-(\\d{2})\\.mp3$/);\n if (chunkMatch) {\n const part = chunkMatch[1]; const chunkNo = Number(chunkMatch[2]);\n const n = Number(part); if (n < 1 || n > 11) return new Response(\"Not found\",{status:404});\n const chunks = splitText(await getPartText(part));\n if (chunkNo < 1 || chunkNo > chunks.length) return new Response(\"Not found\",{status:404});\n if (req.method === \"HEAD\") return new Response(null,{headers:{\"Content-Type\":\"audio/mpeg\",\"X-Voice\":VOICE,\"X-Part\":part,\"X-Chunk\":String(chunkNo)}});\n const tts = new UniversalEdgeTTS(chunks[chunkNo-1], VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\"});\n const result = await tts.synthesize();\n return new Response(result.audio,{headers:{\"Content-Type\":\"audio/mpeg\",\"Content-Disposition\":`inline; filename=thesis-part-${part}-chunk-${String(chunkNo).padStart(2,\"0\")}.mp3`,\"Cache-Control\":\"public, max-age=3600\",\"X-Voice\":VOICE,\"X-Part\":part,\"X-Chunk\":String(chunkNo)}});\n }\n\n if (path === \"/prepare-part\") {\n const part = (url.searchParams.get(\"part\") || \"01\").padStart(2,\"0\");\n const chunks = splitText(await getPartText(part));\n const audios = await Promise.all(chunks.map(async (chunk) => {\n const tts = new UniversalEdgeTTS(chunk, VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\", format:\"audio-16khz-32kbitrate-mono-mp3\"});\n const result = await tts.synthesize();\n return await result.audio.arrayBuffer();\n }));\n const combined = new Blob(audios,{type:\"audio/mpeg\"});\n const key = `ready-part-${part}.mp3`;\n await blob.set(key, combined);\n return Response.json({ok:true,part,chunks:chunks.length,size:combined.size,format:\"32kbps-mp3\",voice:VOICE});\n }\n\n if (path === \"/prepare-one\") {\n const part = (url.searchParams.get(\"part\") || \"01\").padStart(2,\"0\");\n const chunkNo = Number(url.searchParams.get(\"chunk\") || \"1\");\n const reset = url.searchParams.get(\"reset\") === \"1\";\n const chunks = splitText(await getPartText(part));\n if (chunkNo < 1 || chunkNo > chunks.length) return new Response(\"bad chunk\",{status:400});\n const tts = new UniversalEdgeTTS(chunks[chunkNo-1], VOICE, {rate:\"-5%\", volume:\"+0%\", pitch:\"+0Hz\", format:\"audio-16khz-32kbitrate-mono-mp3\"});\n const result = await tts.synthesize();\n const key = `ready-part-${part}.mp3`;\n let pieces: BodyInit[] = [];\n if (!reset) {\n try { pieces.push(await (await blob.get(key)).arrayBuffer()); } catch {}\n }\n pieces.push(result.audio);\n const combined = new Blob(pieces,{type:\"audio/mpeg\"});\n await blob.set(key, combined);\n const saved = await blob.get(key);\n return Response.json({ok:true,part,chunk:chunkNo,totalChunks:chunks.length,size:(await saved.arrayBuffer()).byteLength,format:\"32kbps-mp3\"});\n }\n\n if (path.match(/^\\/ready\\/part-(\\d{2})\\.mp3$/)) {\n const part = path.match(/^\\/ready\\/part-(\\d{2})\\.mp3$/)![1];\n try {\n const saved = await blob.get(`ready-part-${part}.mp3`);\n return new Response(saved.body,{headers:{\"Content-Type\":\"audio/mpeg\",\"Content-Disposition\":`attachment; filename=thesis-part-${part}-arabic.mp3`,\"Cache-Control\":\"public, max-age=86400\"}});\n } catch { return new Response(\"not ready\",{status:404}); }\n }\n\n if (path === \"/cache-test\") {\n const text = \"جامعة الإسكندرية، كلية الآداب، قسم اللغة العربية وآدابها. الفردوس المفقود في ديوان أحد عشر كوكبًا لمحمود درويش، دراسة نقدية.\";\n const tts = new UniversalEdgeTTS(text, VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\"});\n const result = await tts.synthesize();\n await blob.set(\"audio-test-sample.mp3\", result.audio);\n const saved = await blob.get(\"audio-test-sample.mp3\");\n return Response.json({ok:true, size:(await saved.arrayBuffer()).byteLength});\n }\n\n if (path === \"/b64-sample\") {\n const saved = await blob.get(\"audio-test-sample.mp3\");\n const bytes = new Uint8Array(await saved.arrayBuffer());\n let binary = \"\";\n for (let i=0;i

Diff · v19