واجهة برمجة تطبيقات توطين الفيديو لكل الأسواق

import time, requests

AUTH = "https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token"
API  = "https://api.rask.ai"
token = requests.post(AUTH, auth=(CLIENT_ID, CLIENT_SECRET),
                      data={"grant_type": "client_credentials"}).json()["access_token"]
h = {"Authorization": f"Bearer {token}"}

glossary = requests.post(f"{API}/v2/glossaries", headers=h, json={
    "name": "Brand terms", "src_lang": "en", "dst_lang": "es",
    "entries": {"Rask Studio": "Rask Studio", "onboarding": "incorporación"}}).json()

ids = [requests.post(f"{API}/v2/projects", headers=h, json={
          "video_id": VIDEO_ID, "dst_lang": locale, "glossary_id": glossary["id"]}).json()["id"]
       for locale in ["es-mx", "es-es"]]

for pid in ids:
    while requests.get(f"{API}/v2/projects/{pid}", headers=h).json()["status"] != "merging_done":
        time.sleep(10)
    script = requests.get(f"{API}/v2/projects/{pid}/transcription", headers=h).json()
    for seg in script["segments"][:3]:
        print(seg["src"]["text"], "->", seg["dst"]["text"])

// no dependencies, Node 18+ global fetch
const API = 'https://api.rask.ai';
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
const auth = await fetch('https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token', {
  method: 'POST',
  headers: { Authorization: 'Basic ' + btoa(`${CLIENT_ID}:${CLIENT_SECRET}`) },
  body: new URLSearchParams({ grant_type: 'client_credentials' }),
}).then((r) => r.json());
const h = { Authorization: `Bearer ${auth.access_token}`, 'Content-Type': 'application/json' };
const call = (method, path, body) => fetch(API + path, { method, headers: h, body: body && JSON.stringify(body) }).then((r) => r.json());

const glossary = await call('POST', '/v2/glossaries', {
  name: 'Brand terms', src_lang: 'en', dst_lang: 'es',
  entries: { 'Rask Studio': 'Rask Studio', onboarding: 'incorporación' },
});

for (const dst_lang of ['es-mx', 'es-es']) {
  let p = await call('POST', '/v2/projects', { video_id: VIDEO_ID, dst_lang, glossary_id: glossary.id });
  while (p.status !== 'merging_done') { await sleep(10000); p = await call('GET', `/v2/projects/${p.id}`); }
  const { segments } = await call('GET', `/v2/projects/${p.id}/transcription`);
  segments.slice(0, 3).forEach((s) => console.log(dst_lang, s.src.text, '->', s.dst.text));
}

# 1. token (valid 1 hour - cache and reuse it)
TOKEN=$(curl -s -X POST https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token \
  -u "$CLIENT_ID:$CLIENT_SECRET" -d "grant_type=client_credentials" | jq -r .access_token)

# 2. import the translation your reviewers approved (source and translated .srt)
TRANSCRIPT_ID=$(curl -s -X POST "https://api.rask.ai/v2/transcriptions/srt?src_lang=en&dst_lang=es-mx" \
  -H "Authorization: Bearer $TOKEN" \
  -F "src=@source_en.srt" -F "dst=@approved_es-mx.srt" | jq -r .id)

# 3. create the localized version from it - Rask voices the approved script
curl -s -X POST https://api.rask.ai/v2/projects \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d "{\"video_id\": \"$VIDEO_ID\", \"dst_lang\": \"es-mx\", \"transcript_id\": \"$TRANSCRIPT_ID\"}"

<?php
use GuzzleHttp\Client;

$http = new Client(['base_uri' => 'https://api.rask.ai']);
$json = fn($r) => json_decode($r->getBody(), true);
$auth = $json((new Client)->post('https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token',
    ['auth' => [$clientId, $clientSecret], 'form_params' => ['grant_type' => 'client_credentials']]));
$h = ['Authorization' => 'Bearer ' . $auth['access_token']];

$glossary = $json($http->post('/v2/glossaries', ['headers' => $h, 'json' => [
    'name' => 'Brand terms', 'src_lang' => 'en', 'dst_lang' => 'es',
    'entries' => ['Rask Studio' => 'Rask Studio', 'onboarding' => 'incorporación'],
]]));

foreach (['es-mx', 'es-es'] as $locale) {
    $p = $json($http->post('/v2/projects', ['headers' => $h, 'json' => [
        'video_id' => $videoId, 'dst_lang' => $locale, 'glossary_id' => $glossary['id']]]));
    while ($p['status'] !== 'merging_done') {
        sleep(10);
        $p = $json($http->get("/v2/projects/{$p['id']}", ['headers' => $h]));
    }
    $script = $json($http->get("/v2/projects/{$p['id']}/transcription", ['headers' => $h]));
    echo $locale, ': ', $script['segments'][0]['dst']['text'], PHP_EOL;
}