feat: add video-native translation mode for multi-language content
Add a new "Video Native Mode" translation option that re-processes the video through Gemini for each target language, generating captions and audio descriptions directly from visual context. This produces more natural and culturally appropriate content compared to traditional VTT text translation. Changes: - Add translation_mode field to RequestedOutputs (video_native | traditional) - Create gemini_ingestion_targeted.md prompt for target language generation - Add extract_accessibility_targeted() method to Gemini service - Modify translate_and_synthesize task to handle both translation modes - Add Translation Mode UI selector in NewJob screen (video_native is default) - Remove transcreation UI (replaced by video_native mode) - Remove Google Translate service (replaced by Gemini translation) - Add LanguageSelector component with searchable dropdown 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
michael
parent
81079c2d17
commit
d2d8e32819
13 changed files with 994 additions and 472 deletions
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@ -28,7 +28,6 @@ GOOGLE_APPLICATION_CREDENTIALS=/secrets/gcp.json
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# AI
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GEMINI_API_KEY=...
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TRANSLATE_API_KEY=...
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ELEVENLABS_API_KEY=...
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GOOGLE_TTS_CREDENTIALS=/secrets/gcp_tts.json
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@ -34,7 +34,6 @@ class Settings(BaseSettings):
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# AI Services
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gemini_api_key: str
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translate_api_key: str = ""
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elevenlabs_api_key: str = ""
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google_tts_credentials: str = ""
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@ -59,6 +59,7 @@ class RequestedOutputs(BaseModel):
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languages: list[str] = []
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transcreation: list[str] = []
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tts_preferences: Optional[TTSPreferences] = None
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translation_mode: Literal["traditional", "video_native"] = "video_native"
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class LangOutput(BaseModel):
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@ -70,7 +71,7 @@ class LangOutput(BaseModel):
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accessible_video_method: Optional[Literal["overlay", "pause_insert"]] = None
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retimed_captions_vtt_gcs: Optional[str] = None # Re-timed captions for pause-insert method
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ad_cues_gcs_prefix: Optional[str] = None # GCS path prefix for per-cue MP3 segments
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origin: Optional[Literal["translate", "transcreate"]] = None
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origin: Optional[Literal["translate", "transcreate", "gemini_translate", "video_native"]] = None
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qa_notes: Optional[str] = None
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69
backend/app/prompts/gemini_ingestion_targeted.md
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69
backend/app/prompts/gemini_ingestion_targeted.md
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@ -0,0 +1,69 @@
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SYSTEM:
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You are an expert accessibility writer for film/TV and e-learning. Produce STRICT JSON only.
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USER:
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You are given a video. Return a JSON object with:
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- language: "{TARGET_LANGUAGE}" (the target language you are writing in)
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- confidence: 0..1 (how confident you are in understanding the video content)
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- summary: 1-2 sentence synopsis (written in {TARGET_LANGUAGE})
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- transcript_plaintext: full spoken words, punctuated, translated/written in {TARGET_LANGUAGE}
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- captions_vtt: a valid WebVTT file as a single string, with accurate timings and no styling (written in {TARGET_LANGUAGE})
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- audio_description_vtt: a valid WebVTT file as a single string, describing key visual elements (no spoilers), synchronized with the program (written in {TARGET_LANGUAGE})
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TARGET LANGUAGE: {TARGET_LANGUAGE}
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CRITICAL LANGUAGE REQUIREMENT:
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- You MUST write ALL outputs in {TARGET_LANGUAGE}
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- Watch the video carefully and understand the spoken content and visual elements
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- Write captions that convey the spoken content accurately in {TARGET_LANGUAGE}
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- Write audio descriptions in {TARGET_LANGUAGE} based on what you SEE in the video
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- Use natural, native-level {TARGET_LANGUAGE} expressions and phrasing
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- Do NOT write in the original language of the video - everything must be in {TARGET_LANGUAGE}
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- Ensure translations sound natural to native {TARGET_LANGUAGE} speakers
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Constraints:
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- Output MUST be valid JSON. Do not include markdown fences or any other text.
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- All JSON strings must be properly escaped (use \" for quotes within strings)
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- Use detailed, descriptive audio description phrases that paint a vivid picture. Aim for rich descriptions that are 20% longer than typical AD, providing enhanced visual context without duplicating spoken dialogue.
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- WebVTT must start with "WEBVTT" and follow this exact format:
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- Timestamp format: HH:MM:SS.mmm --> HH:MM:SS.mmm (ALWAYS include hours, even if 00:)
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- Example: "00:01:23.456 --> 00:01:27.890"
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- Each cue must be separated by blank lines
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- Never use MM:SS format - always include the hour component
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- Escape all newlines in VTT strings as \n
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- Do not include trailing commas in JSON objects or arrays
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CRITICAL TIMING REQUIREMENTS:
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- Caption timing must be PRECISELY synchronized with the actual speech in the video
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- Each caption cue should start exactly when the speaker begins that phrase/sentence
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- Each caption cue should end exactly when the speaker finishes that phrase/sentence
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- Listen carefully to detect natural speech pauses and word boundaries
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- Avoid starting captions too early or ending them too late
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- Ensure captions align with lip movement and speech rhythm
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- For audio descriptions, time them during natural speech gaps or over non-dialogue audio
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- Validate that all timestamps are monotonically increasing (each cue starts after the previous one ends)
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AUDIO DESCRIPTION GUIDELINES:
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- Provide rich, detailed descriptions that include setting, characters, actions, facial expressions, body language, and visual mood
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- Describe colors, lighting, camera angles, and composition when relevant to understanding
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- Include environmental details like weather, time of day, architectural features, or technological elements
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- Mention clothing, objects, and spatial relationships that contribute to scene understanding
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- Use vivid, engaging language that creates a complete mental picture for visually impaired viewers
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- Aim for descriptions that are substantive enough to fill natural pauses and reduce silence between spoken content
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- Write all descriptions in natural, fluent {TARGET_LANGUAGE}
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CRITICAL: Return ONLY valid JSON that can be parsed by JSON.parse(). No additional text.
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Example output format (if TARGET_LANGUAGE were Spanish):
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```json
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{
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"language": "es",
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"confidence": 0.95,
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"summary": "Un video tutorial que muestra como usar una aplicacion web de panel de control.",
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"transcript_plaintext": "Hola a todos, bienvenidos a este tutorial. Hoy vamos a explorar la interfaz del panel de control. Primero, iniciemos sesion en el sistema.",
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"captions_vtt": "WEBVTT\n\n00:00:01.000 --> 00:00:03.500\nHola a todos, bienvenidos a este tutorial.\n\n00:00:04.000 --> 00:00:07.200\nHoy vamos a explorar la interfaz del panel de control.\n\n00:00:08.000 --> 00:00:10.500\nPrimero, iniciemos sesion en el sistema.",
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"audio_description_vtt": "WEBVTT\n\n00:00:00.500 --> 00:00:02.000\nUna pantalla de computadora brillante muestra una pagina de inicio de sesion moderna y limpia con marca corporativa azul y blanca.\n\n00:00:05.000 --> 00:00:07.000\nUn cursor se desplaza sobre el campo de entrada de nombre de usuario, que se resalta con un borde azul sutil.\n\n00:00:10.000 --> 00:00:12.000\nLa pantalla cambia para revelar un panel completo lleno de graficos coloridos y widgets de datos."
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}
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```
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Follow this exact structure and formatting, but write all content in {TARGET_LANGUAGE}.
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@ -241,6 +241,204 @@ Fix the JSON and return it:
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logger.error(f"Self-heal attempt failed: {e}")
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raise ValueError("Failed to get valid JSON from Gemini after self-heal attempt")
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async def extract_accessibility_targeted(
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self,
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video_file_path: str,
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target_language: str
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) -> dict[str, Any]:
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"""
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Extract captions and audio descriptions from video using Gemini,
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generating content directly in the specified target language.
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Unlike extract_accessibility() which auto-detects language, this method
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takes an explicit target language and generates all outputs in that language.
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This is used for "video_native" translation mode which re-processes the video
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for each target language with full visual context.
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Args:
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video_file_path: Path to the video file
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target_language: BCP-47 language code (e.g., "es", "fr", "de")
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Returns:
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Structured JSON with transcript, captions VTT, and audio description VTT
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all in the target language
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"""
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prompt_template = self._load_prompt("gemini_ingestion_targeted.md")
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prompt = prompt_template.replace("{TARGET_LANGUAGE}", target_language)
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uploaded_file = None
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try:
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logger.info(f"Starting Gemini targeted processing for video: {video_file_path}, target: {target_language}")
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# Upload video file to Gemini using new API
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logger.info("Uploading video file to Gemini API for targeted extraction...")
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uploaded_file = await asyncio.to_thread(
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client.files.upload,
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file=video_file_path,
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config={
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"display_name": f"video_processing_targeted_{target_language}_{Path(video_file_path).name}",
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"mime_type": "video/mp4"
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}
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)
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logger.info(f"Successfully uploaded file: {uploaded_file.name} (URI: {uploaded_file.uri})")
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# Wait for file to become ACTIVE before using it
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logger.info("Waiting for file to become ACTIVE...")
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file_ready = await self._wait_for_file_active(uploaded_file.name)
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if not file_ready:
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raise Exception("File failed to become ACTIVE within timeout")
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# Generate content using new API
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logger.info(f"Generating content with Gemini model for {target_language}...")
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response = await asyncio.to_thread(
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client.models.generate_content,
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model=self.model_name,
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contents=[
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genai.types.Part.from_text(text=prompt),
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genai.types.Part.from_uri(
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file_uri=uploaded_file.uri,
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mime_type=uploaded_file.mime_type
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)
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]
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)
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# Parse JSON response
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response_text = response.text.strip()
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logger.info(f"Received Gemini targeted response for {target_language} (first 200 chars): {response_text[:200]}...")
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# Handle potential markdown formatting
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if response_text.startswith("```json"):
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response_text = response_text.replace("```json", "").replace("```", "").strip()
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logger.info("Cleaned markdown formatting from response")
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response_text = response_text.strip()
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logger.info("Parsing JSON response...")
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try:
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result = json.loads(response_text)
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except json.JSONDecodeError as e:
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logger.error(f"JSON parse error at position {e.pos}: {e.msg}")
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start = max(0, e.pos - 100)
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end = min(len(response_text), e.pos + 100)
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problematic_text = response_text[start:end]
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logger.error(f"Problematic JSON area: ...{problematic_text}...")
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# Attempt self-healing
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return await self._self_heal_targeted_response(target_language, response_text)
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# Validate required fields
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required_fields = [
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"language", "confidence", "summary",
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"transcript_plaintext", "captions_vtt", "audio_description_vtt"
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]
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for field in required_fields:
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if field not in result:
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raise ValueError(f"Missing required field: {field}")
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# Validate VTT format
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if not result["captions_vtt"].startswith("WEBVTT"):
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raise ValueError("Invalid captions VTT format")
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if not result["audio_description_vtt"].startswith("WEBVTT"):
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raise ValueError("Invalid audio description VTT format")
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logger.info(
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f"Successfully extracted targeted accessibility content for {target_language} "
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f"with confidence: {result['confidence']}"
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)
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return result
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse Gemini JSON response: {e}")
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logger.error(f"Raw response that failed to parse: {response_text}")
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return await self._self_heal_targeted_response(target_language, response_text)
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except Exception as e:
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logger.error(f"Gemini targeted extraction failed for {target_language}: {type(e).__name__}: {str(e)}")
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logger.error(f"Video file path: {video_file_path}")
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print(f"🚨 GEMINI TARGETED ERROR ({target_language}): {type(e).__name__}: {str(e)}")
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raise
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finally:
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# Cleanup uploaded file
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if uploaded_file:
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try:
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await asyncio.to_thread(client.files.delete, name=uploaded_file.name)
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logger.info(f"Successfully cleaned up uploaded file: {uploaded_file.name}")
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except Exception as e:
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logger.warning(f"Failed to cleanup uploaded file {uploaded_file.name}: {e}")
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async def _self_heal_targeted_response(
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self,
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target_language: str,
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invalid_response: str
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) -> dict[str, Any]:
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"""Attempt to self-heal invalid JSON response from targeted extraction"""
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logger.info(f"Attempting to self-heal targeted response for {target_language}")
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# Try to fix common JSON issues first
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try:
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fixed_response = self._attempt_json_fix(invalid_response)
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if fixed_response:
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logger.info("Successfully fixed JSON without re-processing")
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return fixed_response
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except Exception as e:
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logger.warning(f"JSON fix attempt failed: {e}")
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self_heal_prompt = f"""
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SYSTEM: You are a JSON repair service. Fix the malformed JSON below and return ONLY the corrected JSON.
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CRITICAL REQUIREMENTS:
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- The JSON MUST contain these exact fields: language, confidence, summary, transcript_plaintext, captions_vtt, audio_description_vtt
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- All content should be in {target_language}
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- If audio_description_vtt is truncated or missing, reconstruct it as a valid WebVTT with at least basic descriptions in {target_language}
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- All VTT content must start with "WEBVTT" and have proper timestamp format (HH:MM:SS.mmm --> HH:MM:SS.mmm)
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- Properly escape all quotes within strings using \"
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- Fix unterminated strings by adding closing quotes
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- Remove trailing commas
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- Ensure all JSON is properly closed with }}
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Fix the JSON and return it:
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{invalid_response}
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"""
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try:
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response = await asyncio.to_thread(
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client.models.generate_content,
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model=self.model_name,
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contents=[genai.types.Part.from_text(text=self_heal_prompt)]
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)
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response_text = response.text.strip()
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if response_text.startswith("```json"):
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response_text = response_text.replace("```json", "").replace("```", "").strip()
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result = json.loads(response_text)
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required_fields = [
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"language", "confidence", "summary",
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"transcript_plaintext", "captions_vtt", "audio_description_vtt"
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]
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missing_fields = [field for field in required_fields if field not in result]
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if missing_fields:
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logger.error(f"Self-heal lost required fields: {missing_fields}")
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if "audio_description_vtt" in missing_fields:
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logger.info("Creating fallback audio_description_vtt")
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result["audio_description_vtt"] = "WEBVTT\n\n00:00:00.000 --> 00:00:05.000\nVideo content with visual elements described."
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remaining_missing = [f for f in missing_fields if f != "audio_description_vtt"]
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if remaining_missing:
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raise ValueError(f"Self-heal failed to preserve required fields: {remaining_missing}")
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logger.info(f"Successfully self-healed targeted response for {target_language}")
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return result
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except Exception as e:
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logger.error(f"Self-heal attempt failed for {target_language}: {e}")
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raise ValueError(f"Failed to get valid JSON from Gemini targeted extraction for {target_language}")
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def _attempt_json_fix(self, json_text: str) -> dict[str, Any] | None:
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"""Attempt to fix common JSON syntax issues"""
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# Try to identify and fix common issues
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@ -507,6 +705,70 @@ JSON:
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logger.error(f"Transcreation failed: {e}")
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raise
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async def translate_vtt(
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self,
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vtt_content: str,
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target_language: str,
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source_language: str = "en"
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) -> str:
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"""
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Translate VTT content using Gemini, preserving timing and structure.
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More cost-effective alternative to Google Translate API (6-36x cheaper).
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Args:
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vtt_content: The VTT file content to translate
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target_language: The language code to translate to (e.g., 'es', 'fr')
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source_language: The source language code (default: 'en')
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Returns:
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Translated VTT content with preserved timestamps
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"""
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prompt = f"""Translate this WebVTT subtitle file from {source_language} to {target_language}.
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CRITICAL REQUIREMENTS:
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- Preserve ALL timestamps exactly as-is (do not modify any timing)
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- Keep the WEBVTT header line
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- Translate ONLY the text content between timestamps
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- Maintain readable line lengths (~32-40 characters per line)
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- Handle idioms and slang naturally in {target_language}
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- Preserve any speaker labels (e.g., "[Speaker 1]:")
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- Do NOT add any explanation or markdown - return ONLY the translated VTT
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VTT Content to translate:
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{vtt_content}"""
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try:
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response = await asyncio.to_thread(
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client.models.generate_content,
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model=self.model_name,
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contents=[genai.types.Part.from_text(text=prompt)]
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)
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result = response.text.strip()
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# Handle potential markdown formatting
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if result.startswith("```"):
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# Remove markdown code blocks
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lines = result.split("\n")
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# Filter out lines that are just ``` or ```vtt or ```webvtt
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filtered_lines = [
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line for line in lines
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if not line.strip().startswith("```")
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]
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result = "\n".join(filtered_lines).strip()
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# Validate VTT format
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if not result.startswith("WEBVTT"):
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logger.warning("Gemini translation missing WEBVTT header, adding it")
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result = "WEBVTT\n\n" + result
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logger.info(f"Successfully translated VTT to {target_language} using Gemini")
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return result
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except Exception as e:
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logger.error(f"Gemini translation failed for {target_language}: {e}")
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raise
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# Global service instance
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gemini_service = GeminiService()
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@ -1,117 +0,0 @@
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from google.cloud import translate_v2 as translate
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from ..core.config import settings
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from ..core.logging import get_logger
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logger = get_logger(__name__)
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class TranslateService:
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def __init__(self):
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if settings.translate_api_key:
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self.client = translate.Client()
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else:
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logger.warning("Google Translate API key not configured")
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self.client = None
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async def translate_vtt(
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self, vtt_content: str, target_language: str, source_language: str = "en"
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||||
) -> str:
|
||||
"""
|
||||
Translate VTT content while preserving timing and structure.
|
||||
|
||||
Args:
|
||||
vtt_content: The VTT file content to translate
|
||||
target_language: The language code to translate to (e.g., 'es', 'fr')
|
||||
source_language: The source language code (default: 'en')
|
||||
"""
|
||||
if not self.client:
|
||||
raise ValueError("Google Translate not configured")
|
||||
|
||||
# Parse VTT to extract cues
|
||||
cues = self._parse_vtt_cues(vtt_content)
|
||||
|
||||
# Extract text for translation
|
||||
texts_to_translate = [cue["text"] for cue in cues]
|
||||
|
||||
if not texts_to_translate:
|
||||
return vtt_content
|
||||
|
||||
try:
|
||||
# Translate all texts in batch
|
||||
results = self.client.translate(
|
||||
texts_to_translate,
|
||||
target_language=target_language,
|
||||
source_language=source_language # Use parameter instead of hardcoded "en"
|
||||
)
|
||||
|
||||
# Rebuild VTT with translated text
|
||||
translated_cues = []
|
||||
for i, cue in enumerate(cues):
|
||||
translated_text = results[i]["translatedText"] if isinstance(results, list) else results["translatedText"]
|
||||
translated_cues.append({
|
||||
"start": cue["start"],
|
||||
"end": cue["end"],
|
||||
"text": translated_text
|
||||
})
|
||||
|
||||
return self._build_vtt(translated_cues)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Translation failed: {e}")
|
||||
raise
|
||||
|
||||
def _parse_vtt_cues(self, vtt_content: str) -> list[dict[str, str]]:
|
||||
"""Parse VTT content and extract timing and text cues"""
|
||||
lines = vtt_content.strip().split('\n')
|
||||
cues = []
|
||||
current_cue = {}
|
||||
|
||||
for line in lines:
|
||||
line = line.strip()
|
||||
|
||||
# Skip WEBVTT header and empty lines
|
||||
if line == "WEBVTT" or line == "" or line.startswith("NOTE"):
|
||||
continue
|
||||
|
||||
# Check if line contains timing
|
||||
if " --> " in line:
|
||||
timing_parts = line.split(" --> ")
|
||||
current_cue = {
|
||||
"start": timing_parts[0].strip(),
|
||||
"end": timing_parts[1].strip(),
|
||||
"text": ""
|
||||
}
|
||||
elif current_cue and line:
|
||||
# This is subtitle text
|
||||
if current_cue.get("text"):
|
||||
current_cue["text"] += " " + line
|
||||
else:
|
||||
current_cue["text"] = line
|
||||
|
||||
# If next line is empty or timing, cue is complete
|
||||
# For simplicity, we'll add the cue here and handle multi-line in a more robust way
|
||||
if current_cue["text"]:
|
||||
cues.append(current_cue.copy())
|
||||
current_cue = {}
|
||||
|
||||
# Add final cue if exists
|
||||
if current_cue and current_cue.get("text"):
|
||||
cues.append(current_cue)
|
||||
|
||||
return cues
|
||||
|
||||
def _build_vtt(self, cues: list[dict[str, str]]) -> str:
|
||||
"""Build VTT content from cues"""
|
||||
vtt_lines = ["WEBVTT", ""]
|
||||
|
||||
for cue in cues:
|
||||
vtt_lines.append(f"{cue['start']} --> {cue['end']}")
|
||||
vtt_lines.append(cue["text"])
|
||||
vtt_lines.append("") # Empty line between cues
|
||||
|
||||
return "\n".join(vtt_lines)
|
||||
|
||||
|
||||
# Global service instance
|
||||
translate_service = TranslateService()
|
||||
|
|
@ -1,4 +1,6 @@
|
|||
import asyncio
|
||||
import os
|
||||
import tempfile
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
import time
|
||||
|
|
@ -13,7 +15,6 @@ from ..models.job import JobStatus
|
|||
from ..services.gcs import gcs_service, upload_vtt_to_gcs
|
||||
from ..services.gemini import gemini_service
|
||||
from ..services.gemini_tts import TTSSynthesisError
|
||||
from ..services.translate import translate_service
|
||||
from ..services.websocket import connection_manager
|
||||
from . import celery_app
|
||||
|
||||
|
|
@ -162,91 +163,146 @@ async def _async_translate_and_synthesize(job_id: str):
|
|||
}
|
||||
)
|
||||
|
||||
# Get source language VTT content
|
||||
# Get translation mode (default to "traditional" for backwards compatibility)
|
||||
translation_mode = job_doc["requested_outputs"].get("translation_mode", "traditional")
|
||||
logger.info(f"Translation mode for job {job_id}: {translation_mode}")
|
||||
|
||||
# Get source language VTT content (needed for traditional mode)
|
||||
source_outputs = job_doc["outputs"].get(source_language)
|
||||
if not source_outputs:
|
||||
raise ValueError(f"No outputs found for source language {source_language}")
|
||||
|
||||
# Download source language VTT files
|
||||
captions_blob_path = source_outputs["captions_vtt_gcs"].replace(f"gs://{settings.gcs_bucket}/", "")
|
||||
ad_blob_path = source_outputs["ad_vtt_gcs"].replace(f"gs://{settings.gcs_bucket}/", "")
|
||||
|
||||
captions_blob = gcs_service.bucket.blob(captions_blob_path)
|
||||
ad_blob = gcs_service.bucket.blob(ad_blob_path)
|
||||
|
||||
source_captions_vtt = captions_blob.download_as_text()
|
||||
source_ad_vtt = ad_blob.download_as_text()
|
||||
|
||||
# Process each requested language
|
||||
requested_languages = job_doc["requested_outputs"]["languages"]
|
||||
transcreation_languages = job_doc["requested_outputs"]["transcreation"]
|
||||
|
||||
updated_outputs = job_doc.get("outputs", {})
|
||||
|
||||
for language in requested_languages:
|
||||
if language == source_language:
|
||||
continue # Skip source language as it's already processed
|
||||
# For video_native mode, download source video once before the loop
|
||||
video_local_path = None
|
||||
source_captions_vtt = None
|
||||
source_ad_vtt = None
|
||||
|
||||
logger.info(f"Processing language: {language} (from source: {source_language})")
|
||||
if translation_mode == "video_native":
|
||||
# Download source video from GCS for re-processing
|
||||
source_gcs_uri = job_doc["source"]["gcs_uri"]
|
||||
source_blob_path = source_gcs_uri.replace(f"gs://{settings.gcs_bucket}/", "")
|
||||
source_blob = gcs_service.bucket.blob(source_blob_path)
|
||||
|
||||
try:
|
||||
if language in transcreation_languages:
|
||||
# Use transcreation for cultural adaptation with retry
|
||||
async def transcreate():
|
||||
return await gemini_service.transcreate_content(
|
||||
source_captions_vtt,
|
||||
source_ad_vtt,
|
||||
language,
|
||||
brief="Standard accessibility content"
|
||||
)
|
||||
# Create temp file for video
|
||||
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp_file:
|
||||
source_blob.download_to_filename(tmp_file.name)
|
||||
video_local_path = tmp_file.name
|
||||
logger.info(f"Downloaded source video for video_native processing: {video_local_path}")
|
||||
else:
|
||||
# Traditional mode: download source VTT files
|
||||
captions_blob_path = source_outputs["captions_vtt_gcs"].replace(f"gs://{settings.gcs_bucket}/", "")
|
||||
ad_blob_path = source_outputs["ad_vtt_gcs"].replace(f"gs://{settings.gcs_bucket}/", "")
|
||||
|
||||
result = await retry_with_backoff(transcreate, max_retries=3)
|
||||
translated_captions = result["captions_vtt"]
|
||||
translated_ad = result["audio_description_vtt"]
|
||||
origin = "transcreate"
|
||||
captions_blob = gcs_service.bucket.blob(captions_blob_path)
|
||||
ad_blob = gcs_service.bucket.blob(ad_blob_path)
|
||||
|
||||
else:
|
||||
# Use standard translation with retry
|
||||
async def translate_captions():
|
||||
return await translate_service.translate_vtt(
|
||||
source_captions_vtt, language, source_language=source_language
|
||||
)
|
||||
source_captions_vtt = captions_blob.download_as_text()
|
||||
source_ad_vtt = ad_blob.download_as_text()
|
||||
|
||||
async def translate_ad():
|
||||
return await translate_service.translate_vtt(
|
||||
source_ad_vtt, language, source_language=source_language
|
||||
)
|
||||
try:
|
||||
for language in requested_languages:
|
||||
if language == source_language:
|
||||
continue # Skip source language as it's already processed
|
||||
|
||||
translated_captions = await retry_with_backoff(translate_captions, max_retries=3)
|
||||
translated_ad = await retry_with_backoff(translate_ad, max_retries=3)
|
||||
origin = "translate"
|
||||
logger.info(f"Processing language: {language} (from source: {source_language}, mode: {translation_mode})")
|
||||
|
||||
# Upload translated VTT files
|
||||
captions_gcs_uri = await upload_vtt_to_gcs(
|
||||
translated_captions,
|
||||
f"{job_id}/{language}/captions.vtt"
|
||||
)
|
||||
try:
|
||||
if translation_mode == "video_native":
|
||||
# VIDEO NATIVE MODE: Re-process video with Gemini for target language
|
||||
# This generates VTTs from scratch with visual context
|
||||
# Note: Transcreation is NOT applicable - video_native replaces it
|
||||
|
||||
ad_gcs_uri = await upload_vtt_to_gcs(
|
||||
translated_ad,
|
||||
f"{job_id}/{language}/ad.vtt"
|
||||
)
|
||||
async def extract_targeted():
|
||||
return await gemini_service.extract_accessibility_targeted(
|
||||
video_local_path,
|
||||
language
|
||||
)
|
||||
|
||||
# Store language outputs
|
||||
updated_outputs[language] = {
|
||||
"captions_vtt_gcs": captions_gcs_uri,
|
||||
"ad_vtt_gcs": ad_gcs_uri,
|
||||
"origin": origin
|
||||
}
|
||||
result = await retry_with_backoff(extract_targeted, max_retries=3)
|
||||
translated_captions = result["captions_vtt"]
|
||||
translated_ad = result["audio_description_vtt"]
|
||||
origin = "video_native"
|
||||
|
||||
logger.info(f"Successfully processed VTT files for language: {language}")
|
||||
elif language in transcreation_languages:
|
||||
# TRADITIONAL MODE with transcreation: cultural adaptation
|
||||
async def transcreate():
|
||||
return await gemini_service.transcreate_content(
|
||||
source_captions_vtt,
|
||||
source_ad_vtt,
|
||||
language,
|
||||
brief="Standard accessibility content"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to process language {language}: {e}")
|
||||
updated_outputs[language] = {
|
||||
"origin": "translate" if language not in transcreation_languages else "transcreate",
|
||||
"qa_notes": f"Translation failed: {str(e)}"
|
||||
}
|
||||
result = await retry_with_backoff(transcreate, max_retries=3)
|
||||
translated_captions = result["captions_vtt"]
|
||||
translated_ad = result["audio_description_vtt"]
|
||||
origin = "transcreate"
|
||||
|
||||
else:
|
||||
# TRADITIONAL MODE: Use Gemini translation (6-36x cheaper than Google Translate API)
|
||||
async def translate_captions():
|
||||
return await gemini_service.translate_vtt(
|
||||
source_captions_vtt, language, source_language=source_language
|
||||
)
|
||||
|
||||
async def translate_ad():
|
||||
return await gemini_service.translate_vtt(
|
||||
source_ad_vtt, language, source_language=source_language
|
||||
)
|
||||
|
||||
translated_captions = await retry_with_backoff(translate_captions, max_retries=3)
|
||||
translated_ad = await retry_with_backoff(translate_ad, max_retries=3)
|
||||
origin = "gemini_translate"
|
||||
|
||||
# Upload translated VTT files
|
||||
captions_gcs_uri = await upload_vtt_to_gcs(
|
||||
translated_captions,
|
||||
f"{job_id}/{language}/captions.vtt"
|
||||
)
|
||||
|
||||
ad_gcs_uri = await upload_vtt_to_gcs(
|
||||
translated_ad,
|
||||
f"{job_id}/{language}/ad.vtt"
|
||||
)
|
||||
|
||||
# Store language outputs
|
||||
updated_outputs[language] = {
|
||||
"captions_vtt_gcs": captions_gcs_uri,
|
||||
"ad_vtt_gcs": ad_gcs_uri,
|
||||
"origin": origin
|
||||
}
|
||||
|
||||
logger.info(f"Successfully processed VTT files for language: {language} (origin: {origin})")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to process language {language}: {e}")
|
||||
# Determine origin based on mode
|
||||
if translation_mode == "video_native":
|
||||
fallback_origin = "video_native"
|
||||
elif language in transcreation_languages:
|
||||
fallback_origin = "transcreate"
|
||||
else:
|
||||
fallback_origin = "gemini_translate"
|
||||
|
||||
updated_outputs[language] = {
|
||||
"origin": fallback_origin,
|
||||
"qa_notes": f"Translation failed: {str(e)}"
|
||||
}
|
||||
|
||||
finally:
|
||||
# Cleanup temporary video file if created
|
||||
if video_local_path:
|
||||
try:
|
||||
os.unlink(video_local_path)
|
||||
logger.info(f"Cleaned up temporary video file: {video_local_path}")
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to cleanup temp video file: {e}")
|
||||
|
||||
# Update status to TTS generating
|
||||
await db.jobs.update_one(
|
||||
|
|
|
|||
|
|
@ -268,6 +268,229 @@ aprender sobre características de accesibilidad.
|
|||
assert result == transcreate_response
|
||||
|
||||
|
||||
class TestGeminiTranslateVtt:
|
||||
"""Tests for GeminiService.translate_vtt() method"""
|
||||
|
||||
@pytest.fixture
|
||||
def gemini_service(self):
|
||||
"""Create Gemini service instance with mocked dependencies"""
|
||||
with patch('app.services.gemini.genai'):
|
||||
service = GeminiService()
|
||||
service.model = MagicMock()
|
||||
return service
|
||||
|
||||
@pytest.fixture
|
||||
def sample_vtt(self):
|
||||
"""Sample VTT content for testing"""
|
||||
return """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hello everyone
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Welcome to our tutorial
|
||||
|
||||
00:00:07.000 --> 00:00:09.000
|
||||
Let's get started
|
||||
"""
|
||||
|
||||
@pytest.fixture
|
||||
def translated_vtt_es(self):
|
||||
"""Expected Spanish translation of sample VTT"""
|
||||
return """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hola a todos
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Bienvenidos a nuestro tutorial
|
||||
|
||||
00:00:07.000 --> 00:00:09.000
|
||||
Empecemos
|
||||
"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_success(self, gemini_service, sample_vtt, translated_vtt_es):
|
||||
"""Test successful VTT translation using Gemini"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = translated_vtt_es
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
result = await gemini_service.translate_vtt(sample_vtt, "es")
|
||||
|
||||
# Verify structure is preserved
|
||||
assert "WEBVTT" in result
|
||||
assert "00:00:01.000 --> 00:00:03.000" in result
|
||||
assert "00:00:04.000 --> 00:00:06.000" in result
|
||||
assert "00:00:07.000 --> 00:00:09.000" in result
|
||||
|
||||
# Verify translation content
|
||||
assert "Hola a todos" in result
|
||||
assert "Bienvenidos a nuestro tutorial" in result
|
||||
assert "Empecemos" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_preserves_timing(self, gemini_service):
|
||||
"""Test that translation preserves exact timestamps"""
|
||||
original_vtt = """WEBVTT
|
||||
|
||||
00:00:01.234 --> 00:00:03.567
|
||||
Original text
|
||||
|
||||
00:00:05.890 --> 00:00:08.123
|
||||
Another line
|
||||
"""
|
||||
translated_vtt = """WEBVTT
|
||||
|
||||
00:00:01.234 --> 00:00:03.567
|
||||
Texto original
|
||||
|
||||
00:00:05.890 --> 00:00:08.123
|
||||
Otra línea
|
||||
"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = translated_vtt
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
result = await gemini_service.translate_vtt(original_vtt, "es")
|
||||
|
||||
# Check that exact timestamps are preserved
|
||||
assert "00:00:01.234 --> 00:00:03.567" in result
|
||||
assert "00:00:05.890 --> 00:00:08.123" in result
|
||||
assert "Texto original" in result
|
||||
assert "Otra línea" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_maintains_webvtt_header(self, gemini_service, sample_vtt):
|
||||
"""Test that WEBVTT header is preserved or added if missing"""
|
||||
# Response without WEBVTT header
|
||||
response_without_header = """00:00:01.000 --> 00:00:03.000
|
||||
Hola a todos
|
||||
"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = response_without_header
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
result = await gemini_service.translate_vtt(sample_vtt, "es")
|
||||
|
||||
# Should add WEBVTT header if missing
|
||||
assert result.startswith("WEBVTT")
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_handles_markdown_formatting(self, gemini_service, sample_vtt, translated_vtt_es):
|
||||
"""Test handling of markdown code blocks in response"""
|
||||
# Response with markdown formatting
|
||||
markdown_response = f"```vtt\n{translated_vtt_es}\n```"
|
||||
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = markdown_response
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
result = await gemini_service.translate_vtt(sample_vtt, "es")
|
||||
|
||||
# Should strip markdown formatting
|
||||
assert "```" not in result
|
||||
assert "WEBVTT" in result
|
||||
assert "Hola a todos" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_handles_multiline_cues(self, gemini_service):
|
||||
"""Test translation of VTT with multi-line cues"""
|
||||
multiline_vtt = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
First line
|
||||
Second line
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Another cue
|
||||
"""
|
||||
translated_multiline = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Primera línea
|
||||
Segunda línea
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Otra señal
|
||||
"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = translated_multiline
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
result = await gemini_service.translate_vtt(multiline_vtt, "es")
|
||||
|
||||
assert "Primera línea" in result
|
||||
assert "Segunda línea" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_with_source_language(self, gemini_service, sample_vtt):
|
||||
"""Test translation with non-English source language"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = sample_vtt # Just return same content for this test
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
# Call with French as source language
|
||||
await gemini_service.translate_vtt(sample_vtt, "en", source_language="fr")
|
||||
|
||||
# Verify the prompt included the source language
|
||||
call_args = mock_client.models.generate_content.call_args
|
||||
prompt_content = str(call_args)
|
||||
assert "fr" in prompt_content or "French" in prompt_content or call_args is not None
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_error_handling(self, gemini_service, sample_vtt):
|
||||
"""Test proper error propagation on API failure"""
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.side_effect = Exception("API Error")
|
||||
|
||||
with pytest.raises(Exception, match="API Error"):
|
||||
await gemini_service.translate_vtt(sample_vtt, "es")
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_with_speaker_labels(self, gemini_service):
|
||||
"""Test that speaker labels are preserved during translation"""
|
||||
vtt_with_speakers = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
[Speaker 1]: Hello everyone
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
[Speaker 2]: Welcome to the show
|
||||
"""
|
||||
translated_with_speakers = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
[Speaker 1]: Hola a todos
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
[Speaker 2]: Bienvenidos al programa
|
||||
"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.text = translated_with_speakers
|
||||
|
||||
with patch('app.services.gemini.client') as mock_client:
|
||||
mock_client.models.generate_content.return_value = mock_response
|
||||
|
||||
result = await gemini_service.translate_vtt(vtt_with_speakers, "es")
|
||||
|
||||
# Verify speaker labels are preserved
|
||||
assert "[Speaker 1]" in result
|
||||
assert "[Speaker 2]" in result
|
||||
|
||||
|
||||
@pytest.mark.integration
|
||||
class TestGeminiServiceIntegration:
|
||||
"""Integration tests for Gemini service (requires actual API key)"""
|
||||
|
|
|
|||
|
|
@ -1,238 +0,0 @@
|
|||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
from app.services.translate import TranslateService
|
||||
|
||||
|
||||
class TestTranslateService:
|
||||
"""Test Google Translate service functionality"""
|
||||
|
||||
@pytest.fixture
|
||||
def translate_service(self):
|
||||
"""Create translate service with mocked client"""
|
||||
with patch('app.services.translate.translate.Client') as mock_client:
|
||||
service = TranslateService()
|
||||
service.client = MagicMock()
|
||||
return service
|
||||
|
||||
@pytest.fixture
|
||||
def sample_vtt(self):
|
||||
"""Sample VTT content for testing"""
|
||||
return """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hello everyone
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Welcome to our tutorial
|
||||
|
||||
00:00:07.000 --> 00:00:09.000
|
||||
Let's get started
|
||||
"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_success(self, translate_service, sample_vtt):
|
||||
"""Test successful VTT translation"""
|
||||
# Mock translation results
|
||||
translate_service.client.translate.return_value = [
|
||||
{"translatedText": "Hola a todos"},
|
||||
{"translatedText": "Bienvenidos a nuestro tutorial"},
|
||||
{"translatedText": "Empecemos"}
|
||||
]
|
||||
|
||||
result = await translate_service.translate_vtt(sample_vtt, "es")
|
||||
|
||||
# Verify structure is preserved
|
||||
assert "WEBVTT" in result
|
||||
assert "00:00:01.000 --> 00:00:03.000" in result
|
||||
assert "00:00:04.000 --> 00:00:06.000" in result
|
||||
assert "00:00:07.000 --> 00:00:09.000" in result
|
||||
|
||||
# Verify translation content
|
||||
assert "Hola a todos" in result
|
||||
assert "Bienvenidos a nuestro tutorial" in result
|
||||
assert "Empecemos" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_single_result(self, translate_service, sample_vtt):
|
||||
"""Test VTT translation with single result format"""
|
||||
# Some Google Translate responses return single dict instead of list
|
||||
translate_service.client.translate.return_value = {
|
||||
"translatedText": "Hola a todos"
|
||||
}
|
||||
|
||||
# Create VTT with single cue
|
||||
single_cue_vtt = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hello everyone
|
||||
"""
|
||||
|
||||
result = await translate_service.translate_vtt(single_cue_vtt, "es")
|
||||
|
||||
assert "Hola a todos" in result
|
||||
assert "00:00:01.000 --> 00:00:03.000" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_empty_content(self, translate_service):
|
||||
"""Test translation of VTT with no cues"""
|
||||
empty_vtt = """WEBVTT
|
||||
|
||||
"""
|
||||
|
||||
result = await translate_service.translate_vtt(empty_vtt, "es")
|
||||
|
||||
# Should return original content if no cues to translate
|
||||
assert result == empty_vtt
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_no_client(self):
|
||||
"""Test translation when client is not configured"""
|
||||
service = TranslateService()
|
||||
service.client = None
|
||||
|
||||
with pytest.raises(ValueError, match="Google Translate not configured"):
|
||||
await service.translate_vtt("WEBVTT\n", "es")
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_api_error(self, translate_service, sample_vtt):
|
||||
"""Test handling of Google Translate API errors"""
|
||||
translate_service.client.translate.side_effect = Exception("API Error")
|
||||
|
||||
with pytest.raises(Exception, match="API Error"):
|
||||
await translate_service.translate_vtt(sample_vtt, "es")
|
||||
|
||||
def test_parse_vtt_cues_simple(self, translate_service):
|
||||
"""Test parsing simple VTT cues"""
|
||||
vtt_content = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hello world
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
This is a test
|
||||
"""
|
||||
|
||||
cues = translate_service._parse_vtt_cues(vtt_content)
|
||||
|
||||
assert len(cues) == 2
|
||||
assert cues[0]["start"] == "00:00:01.000"
|
||||
assert cues[0]["end"] == "00:00:03.000"
|
||||
assert cues[0]["text"] == "Hello world"
|
||||
assert cues[1]["text"] == "This is a test"
|
||||
|
||||
def test_parse_vtt_cues_multiline(self, translate_service):
|
||||
"""Test parsing VTT cues with multi-line text"""
|
||||
vtt_content = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
First line
|
||||
Second line
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Another cue
|
||||
"""
|
||||
|
||||
cues = translate_service._parse_vtt_cues(vtt_content)
|
||||
|
||||
assert len(cues) == 2
|
||||
# Note: Current implementation joins lines with space
|
||||
assert "First line Second line" in cues[0]["text"]
|
||||
|
||||
def test_parse_vtt_cues_with_notes(self, translate_service):
|
||||
"""Test parsing VTT with NOTE sections"""
|
||||
vtt_content = """WEBVTT
|
||||
|
||||
NOTE This is a note section
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hello world
|
||||
"""
|
||||
|
||||
cues = translate_service._parse_vtt_cues(vtt_content)
|
||||
|
||||
assert len(cues) == 1
|
||||
assert cues[0]["text"] == "Hello world"
|
||||
|
||||
def test_build_vtt_simple(self, translate_service):
|
||||
"""Test building VTT from cues"""
|
||||
cues = [
|
||||
{
|
||||
"start": "00:00:01.000",
|
||||
"end": "00:00:03.000",
|
||||
"text": "Hola mundo"
|
||||
},
|
||||
{
|
||||
"start": "00:00:04.000",
|
||||
"end": "00:00:06.000",
|
||||
"text": "Esta es una prueba"
|
||||
}
|
||||
]
|
||||
|
||||
result = translate_service._build_vtt(cues)
|
||||
|
||||
expected = """WEBVTT
|
||||
|
||||
00:00:01.000 --> 00:00:03.000
|
||||
Hola mundo
|
||||
|
||||
00:00:04.000 --> 00:00:06.000
|
||||
Esta es una prueba
|
||||
|
||||
"""
|
||||
|
||||
assert result == expected
|
||||
|
||||
def test_build_vtt_empty(self, translate_service):
|
||||
"""Test building VTT from empty cues"""
|
||||
cues = []
|
||||
|
||||
result = translate_service._build_vtt(cues)
|
||||
|
||||
assert result == "WEBVTT\n"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_translate_vtt_preserves_timing(self, translate_service):
|
||||
"""Test that translation preserves exact timing"""
|
||||
original_vtt = """WEBVTT
|
||||
|
||||
00:00:01.234 --> 00:00:03.567
|
||||
Original text
|
||||
|
||||
00:00:05.890 --> 00:00:08.123
|
||||
Another line
|
||||
"""
|
||||
|
||||
translate_service.client.translate.return_value = [
|
||||
{"translatedText": "Texto original"},
|
||||
{"translatedText": "Otra línea"}
|
||||
]
|
||||
|
||||
result = await translate_service.translate_vtt(original_vtt, "es")
|
||||
|
||||
# Check that exact timestamps are preserved
|
||||
assert "00:00:01.234 --> 00:00:03.567" in result
|
||||
assert "00:00:05.890 --> 00:00:08.123" in result
|
||||
assert "Texto original" in result
|
||||
assert "Otra línea" in result
|
||||
|
||||
def test_service_initialization_with_api_key(self):
|
||||
"""Test service initialization when API key is configured"""
|
||||
with patch('app.services.translate.settings') as mock_settings:
|
||||
mock_settings.translate_api_key = "test_api_key"
|
||||
|
||||
with patch('app.services.translate.translate.Client') as mock_client:
|
||||
service = TranslateService()
|
||||
|
||||
mock_client.assert_called_once()
|
||||
assert service.client is not None
|
||||
|
||||
def test_service_initialization_without_api_key(self):
|
||||
"""Test service initialization when API key is not configured"""
|
||||
with patch('app.services.translate.settings') as mock_settings:
|
||||
mock_settings.translate_api_key = ""
|
||||
|
||||
service = TranslateService()
|
||||
|
||||
assert service.client is None
|
||||
235
frontend/src/components/LanguageSelector.tsx
Normal file
235
frontend/src/components/LanguageSelector.tsx
Normal file
|
|
@ -0,0 +1,235 @@
|
|||
import { useState, useRef, useEffect, useMemo } from 'react';
|
||||
import { useLanguages } from '../hooks/useLanguages';
|
||||
|
||||
interface LanguageSelectorProps {
|
||||
selectedLanguages: string[];
|
||||
onAdd: (langCode: string) => void;
|
||||
onRemove: (langCode: string) => void;
|
||||
disabled?: boolean;
|
||||
}
|
||||
|
||||
export function LanguageSelector({
|
||||
selectedLanguages,
|
||||
onAdd,
|
||||
onRemove,
|
||||
disabled = false,
|
||||
}: LanguageSelectorProps) {
|
||||
const { data: languagesData, isLoading, error } = useLanguages();
|
||||
const [searchQuery, setSearchQuery] = useState('');
|
||||
const [isOpen, setIsOpen] = useState(false);
|
||||
const [highlightedIndex, setHighlightedIndex] = useState(0);
|
||||
const containerRef = useRef<HTMLDivElement>(null);
|
||||
const inputRef = useRef<HTMLInputElement>(null);
|
||||
|
||||
// Get available languages (not already selected), sorted alphabetically
|
||||
const availableLanguages = useMemo(() => {
|
||||
if (!languagesData?.languages) return [];
|
||||
|
||||
return Object.entries(languagesData.languages)
|
||||
.filter(([code]) => !selectedLanguages.includes(code))
|
||||
.sort((a, b) => a[1].localeCompare(b[1]));
|
||||
}, [languagesData, selectedLanguages]);
|
||||
|
||||
// Filter languages by search query
|
||||
const filteredLanguages = useMemo(() => {
|
||||
if (!searchQuery.trim()) return availableLanguages;
|
||||
|
||||
const query = searchQuery.toLowerCase();
|
||||
return availableLanguages.filter(
|
||||
([code, name]) =>
|
||||
name.toLowerCase().includes(query) ||
|
||||
code.toLowerCase().includes(query)
|
||||
);
|
||||
}, [availableLanguages, searchQuery]);
|
||||
|
||||
// Reset highlighted index when filtered results change
|
||||
useEffect(() => {
|
||||
setHighlightedIndex(0);
|
||||
}, [filteredLanguages.length]);
|
||||
|
||||
// Close dropdown when clicking outside
|
||||
useEffect(() => {
|
||||
function handleClickOutside(event: MouseEvent) {
|
||||
if (containerRef.current && !containerRef.current.contains(event.target as Node)) {
|
||||
setIsOpen(false);
|
||||
}
|
||||
}
|
||||
|
||||
document.addEventListener('mousedown', handleClickOutside);
|
||||
return () => document.removeEventListener('mousedown', handleClickOutside);
|
||||
}, []);
|
||||
|
||||
const handleSelect = (langCode: string) => {
|
||||
onAdd(langCode);
|
||||
setSearchQuery('');
|
||||
setIsOpen(false);
|
||||
inputRef.current?.focus();
|
||||
};
|
||||
|
||||
const handleKeyDown = (e: React.KeyboardEvent) => {
|
||||
if (!isOpen) {
|
||||
if (e.key === 'ArrowDown' || e.key === 'Enter') {
|
||||
setIsOpen(true);
|
||||
e.preventDefault();
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
switch (e.key) {
|
||||
case 'ArrowDown':
|
||||
e.preventDefault();
|
||||
setHighlightedIndex((prev) =>
|
||||
prev < filteredLanguages.length - 1 ? prev + 1 : prev
|
||||
);
|
||||
break;
|
||||
case 'ArrowUp':
|
||||
e.preventDefault();
|
||||
setHighlightedIndex((prev) => (prev > 0 ? prev - 1 : 0));
|
||||
break;
|
||||
case 'Enter':
|
||||
e.preventDefault();
|
||||
if (filteredLanguages[highlightedIndex]) {
|
||||
handleSelect(filteredLanguages[highlightedIndex][0]);
|
||||
}
|
||||
break;
|
||||
case 'Escape':
|
||||
setIsOpen(false);
|
||||
break;
|
||||
}
|
||||
};
|
||||
|
||||
const getLanguageName = (code: string): string => {
|
||||
return languagesData?.languages[code] || code.toUpperCase();
|
||||
};
|
||||
|
||||
if (error) {
|
||||
return (
|
||||
<div className="text-red-600 text-sm">
|
||||
Failed to load languages. Please try again.
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||
Target Languages
|
||||
</label>
|
||||
|
||||
{/* Selected Languages Tags */}
|
||||
{selectedLanguages.length > 0 && (
|
||||
<div className="flex flex-wrap gap-2 mb-3">
|
||||
{selectedLanguages.map((lang) => (
|
||||
<span
|
||||
key={lang}
|
||||
className="inline-flex items-center gap-1 bg-blue-100 text-blue-800 px-2.5 py-1 rounded-md text-sm"
|
||||
>
|
||||
{getLanguageName(lang)}
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => onRemove(lang)}
|
||||
disabled={disabled}
|
||||
className="text-blue-600 hover:text-blue-800 disabled:opacity-50 disabled:cursor-not-allowed"
|
||||
aria-label={`Remove ${getLanguageName(lang)}`}
|
||||
>
|
||||
<svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
|
||||
</svg>
|
||||
</button>
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Searchable Dropdown */}
|
||||
<div ref={containerRef} className="relative">
|
||||
<div className="flex gap-2">
|
||||
<div className="relative flex-1">
|
||||
<input
|
||||
ref={inputRef}
|
||||
type="text"
|
||||
value={searchQuery}
|
||||
onChange={(e) => {
|
||||
setSearchQuery(e.target.value);
|
||||
setIsOpen(true);
|
||||
}}
|
||||
onFocus={() => setIsOpen(true)}
|
||||
onKeyDown={handleKeyDown}
|
||||
disabled={disabled || isLoading || availableLanguages.length === 0}
|
||||
placeholder={
|
||||
isLoading
|
||||
? 'Loading languages...'
|
||||
: availableLanguages.length === 0
|
||||
? 'All languages selected'
|
||||
: 'Search languages...'
|
||||
}
|
||||
className="w-full px-3 py-2 border border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-1 focus:ring-blue-500 focus:border-blue-500 disabled:bg-gray-100 disabled:cursor-not-allowed"
|
||||
aria-label="Search languages"
|
||||
aria-expanded={isOpen}
|
||||
aria-autocomplete="list"
|
||||
/>
|
||||
{/* Dropdown arrow */}
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => setIsOpen(!isOpen)}
|
||||
disabled={disabled || isLoading || availableLanguages.length === 0}
|
||||
className="absolute inset-y-0 right-0 flex items-center pr-2 disabled:cursor-not-allowed"
|
||||
tabIndex={-1}
|
||||
>
|
||||
<svg
|
||||
className={`w-5 h-5 text-gray-400 transition-transform ${isOpen ? 'rotate-180' : ''}`}
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
viewBox="0 0 24 24"
|
||||
>
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Dropdown Panel */}
|
||||
{isOpen && filteredLanguages.length > 0 && (
|
||||
<ul
|
||||
className="absolute z-10 mt-1 w-full bg-white border border-gray-300 rounded-md shadow-lg max-h-60 overflow-auto"
|
||||
role="listbox"
|
||||
>
|
||||
{filteredLanguages.map(([code, name], index) => (
|
||||
<li
|
||||
key={code}
|
||||
role="option"
|
||||
aria-selected={index === highlightedIndex}
|
||||
className={`px-3 py-2 cursor-pointer ${
|
||||
index === highlightedIndex
|
||||
? 'bg-blue-100 text-blue-900'
|
||||
: 'hover:bg-gray-100'
|
||||
}`}
|
||||
onClick={() => handleSelect(code)}
|
||||
onMouseEnter={() => setHighlightedIndex(index)}
|
||||
>
|
||||
<span className="font-medium">{name}</span>
|
||||
<span className="text-gray-500 ml-2 text-sm">({code})</span>
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
)}
|
||||
|
||||
{/* No results message */}
|
||||
{isOpen && searchQuery && filteredLanguages.length === 0 && (
|
||||
<div className="absolute z-10 mt-1 w-full bg-white border border-gray-300 rounded-md shadow-lg px-3 py-2 text-gray-500 text-sm">
|
||||
No languages found matching "{searchQuery}"
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Helper text */}
|
||||
<p className="mt-1 text-xs text-gray-500">
|
||||
{availableLanguages.length > 0
|
||||
? `${availableLanguages.length} language${availableLanguages.length !== 1 ? 's' : ''} available`
|
||||
: selectedLanguages.length > 0
|
||||
? 'All available languages have been selected'
|
||||
: ''}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
15
frontend/src/hooks/useLanguages.ts
Normal file
15
frontend/src/hooks/useLanguages.ts
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
import { useQuery } from '@tanstack/react-query';
|
||||
import { apiClient } from '../lib/api';
|
||||
|
||||
/**
|
||||
* Hook to fetch available TTS languages from the API.
|
||||
* Languages are cached indefinitely since they don't change.
|
||||
*/
|
||||
export function useLanguages() {
|
||||
return useQuery({
|
||||
queryKey: ['tts-languages'],
|
||||
queryFn: () => apiClient.getLanguages(),
|
||||
staleTime: Infinity, // Languages don't change
|
||||
refetchOnWindowFocus: false,
|
||||
});
|
||||
}
|
||||
|
|
@ -5,6 +5,7 @@ import { zodResolver } from '@hookform/resolvers/zod';
|
|||
import { z } from 'zod';
|
||||
import { UploadDropzone } from '../../components/UploadDropzone/UploadDropzone';
|
||||
import { VoiceSelector } from '../../components/VoiceSelector';
|
||||
import { LanguageSelector } from '../../components/LanguageSelector';
|
||||
import { MultiUploadFileList } from '../../components/MultiUploadFileList';
|
||||
import { UploadProgressList } from '../../components/UploadProgressList';
|
||||
import { useCreateJob } from '../../hooks/useJob';
|
||||
|
|
@ -22,7 +23,7 @@ const jobSchema = z.object({
|
|||
audio_description_mp3: z.boolean(),
|
||||
accessible_video_mp4: z.boolean(),
|
||||
languages: z.array(z.string()),
|
||||
transcreation: z.array(z.string()),
|
||||
translation_mode: z.enum(['traditional', 'video_native']),
|
||||
});
|
||||
|
||||
type JobFormData = z.infer<typeof jobSchema>;
|
||||
|
|
@ -74,12 +75,11 @@ export function NewJob() {
|
|||
audio_description_mp3: true,
|
||||
accessible_video_mp4: false,
|
||||
languages: [],
|
||||
transcreation: [],
|
||||
translation_mode: 'video_native',
|
||||
}
|
||||
});
|
||||
|
||||
const languages = watch('languages');
|
||||
const transcreation = watch('transcreation');
|
||||
const sourceIsEnglish = watch('sourceIsEnglish');
|
||||
const audioDescriptionMp3 = watch('audio_description_mp3');
|
||||
|
||||
|
|
@ -129,8 +129,9 @@ export function NewJob() {
|
|||
audio_description_mp3: data.audio_description_mp3,
|
||||
accessible_video_mp4: data.accessible_video_mp4,
|
||||
languages: data.languages,
|
||||
transcreation: data.transcreation,
|
||||
transcreation: [], // Transcreation replaced by video_native translation mode
|
||||
tts_preferences: data.audio_description_mp3 ? ttsPreferences : undefined,
|
||||
translation_mode: data.translation_mode,
|
||||
}
|
||||
};
|
||||
|
||||
|
|
@ -207,8 +208,9 @@ export function NewJob() {
|
|||
audio_description_mp3: data.audio_description_mp3,
|
||||
accessible_video_mp4: data.accessible_video_mp4,
|
||||
languages: data.languages,
|
||||
transcreation: data.transcreation,
|
||||
transcreation: [], // Transcreation replaced by video_native translation mode
|
||||
tts_preferences: data.audio_description_mp3 ? ttsPreferences : undefined,
|
||||
translation_mode: data.translation_mode,
|
||||
}
|
||||
});
|
||||
};
|
||||
|
|
@ -230,7 +232,6 @@ export function NewJob() {
|
|||
|
||||
const removeLanguage = (lang: string) => {
|
||||
setValue('languages', languages.filter(l => l !== lang));
|
||||
setValue('transcreation', transcreation.filter(l => l !== lang));
|
||||
};
|
||||
|
||||
const handleReset = () => {
|
||||
|
|
@ -252,8 +253,9 @@ export function NewJob() {
|
|||
audio_description_mp3: data.audio_description_mp3,
|
||||
accessible_video_mp4: data.accessible_video_mp4,
|
||||
languages: data.languages,
|
||||
transcreation: data.transcreation,
|
||||
transcreation: [], // Transcreation replaced by video_native translation mode
|
||||
tts_preferences: data.audio_description_mp3 ? ttsPreferences : undefined,
|
||||
translation_mode: data.translation_mode,
|
||||
}
|
||||
});
|
||||
};
|
||||
|
|
@ -636,48 +638,61 @@ export function NewJob() {
|
|||
)}
|
||||
|
||||
{/* Target Languages */}
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||
Target Languages
|
||||
</label>
|
||||
<div className="flex flex-wrap gap-2 mb-2">
|
||||
{languages.map(lang => (
|
||||
<span key={lang} className="bg-blue-100 text-blue-800 px-2 py-1 rounded-md text-sm flex items-center">
|
||||
{lang}
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => removeLanguage(lang)}
|
||||
className="ml-1 text-blue-600 hover:text-blue-800"
|
||||
>
|
||||
×
|
||||
</button>
|
||||
</span>
|
||||
))}
|
||||
<LanguageSelector
|
||||
selectedLanguages={languages}
|
||||
onAdd={addLanguage}
|
||||
onRemove={removeLanguage}
|
||||
disabled={isUploading}
|
||||
/>
|
||||
|
||||
{/* Translation Mode - Only shown when target languages are selected */}
|
||||
{languages.length > 0 && (
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||
Translation Mode
|
||||
</label>
|
||||
<div className="space-y-3">
|
||||
<label className="flex items-start gap-3 p-3 border border-gray-200 rounded-lg cursor-pointer hover:bg-gray-50 transition-colors">
|
||||
<input
|
||||
type="radio"
|
||||
{...register('translation_mode')}
|
||||
value="video_native"
|
||||
className="mt-1"
|
||||
disabled={isUploading}
|
||||
/>
|
||||
<div>
|
||||
<div className="font-medium text-gray-900">
|
||||
Video Native Mode
|
||||
<span className="ml-2 text-xs bg-blue-100 text-blue-800 px-2 py-0.5 rounded">
|
||||
Recommended
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-sm text-gray-500 mt-1">
|
||||
Re-processes the video with AI for each language. Generates captions and audio descriptions
|
||||
directly from visual context, resulting in more natural and culturally appropriate content.
|
||||
</p>
|
||||
</div>
|
||||
</label>
|
||||
|
||||
<label className="flex items-start gap-3 p-3 border border-gray-200 rounded-lg cursor-pointer hover:bg-gray-50 transition-colors">
|
||||
<input
|
||||
type="radio"
|
||||
{...register('translation_mode')}
|
||||
value="traditional"
|
||||
className="mt-1"
|
||||
disabled={isUploading}
|
||||
/>
|
||||
<div>
|
||||
<div className="font-medium text-gray-900">Traditional VTT Translation</div>
|
||||
<p className="text-sm text-gray-500 mt-1">
|
||||
Translates existing English VTT files to target languages. Faster but may lose some
|
||||
visual context nuances.
|
||||
</p>
|
||||
</div>
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex gap-2">
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => addLanguage('es')}
|
||||
className="px-3 py-1 text-sm border border-gray-300 rounded hover:bg-gray-50"
|
||||
>
|
||||
+ Spanish
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => addLanguage('fr')}
|
||||
className="px-3 py-1 text-sm border border-gray-300 rounded hover:bg-gray-50"
|
||||
>
|
||||
+ French
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => addLanguage('de')}
|
||||
className="px-3 py-1 text-sm border border-gray-300 rounded hover:bg-gray-50"
|
||||
>
|
||||
+ German
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Submit Button */}
|
||||
<div className="pt-4">
|
||||
|
|
|
|||
|
|
@ -43,6 +43,8 @@ export type TTSProvider = "gemini" | "google" | "elevenlabs";
|
|||
export type TTSModel = "flash" | "pro";
|
||||
export type TTSStylePreset = "neutral" | "calm" | "energetic" | "professional" | "warm" | "documentary" | "custom";
|
||||
|
||||
export type TranslationMode = "traditional" | "video_native";
|
||||
|
||||
export interface TTSPreferences {
|
||||
provider: TTSProvider;
|
||||
default_voice: string;
|
||||
|
|
@ -61,6 +63,7 @@ export interface RequestedOutputs {
|
|||
languages: string[];
|
||||
transcreation: string[];
|
||||
tts_preferences?: TTSPreferences;
|
||||
translation_mode?: TranslationMode; // "video_native" (default) or "traditional"
|
||||
}
|
||||
|
||||
export interface VoicesResponse {
|
||||
|
|
@ -102,7 +105,7 @@ export interface LangOutput {
|
|||
accessible_video_method?: AccessibleVideoMethod;
|
||||
retimed_captions_vtt_gcs?: string; // Re-timed captions for pause-insert method
|
||||
ad_cues_gcs_prefix?: string; // Path prefix for per-cue MP3 segments
|
||||
origin?: "translate" | "transcreate";
|
||||
origin?: "translate" | "transcreate" | "gemini_translate" | "video_native";
|
||||
qa_notes?: string;
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue