535 lines
15 KiB
Markdown
535 lines
15 KiB
Markdown
# Story 3.4: Batch Processing
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## Story Overview
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**As a** power user
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**I want** to summarize multiple videos at once
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**So that** I can process entire playlists or video series efficiently
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**Status**: ✅ COMPLETE (2025-08-27)
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**Epic**: Epic 3 - Enhanced User Experience
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**Dependencies**: Story 3.3 (Summary History Management) ✅ Complete
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**Actual Effort**: 18 hours
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**Priority**: High
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## Acceptance Criteria
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1. ✅ **Multiple URL Input**
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- Accepts multiple URLs via textarea (one per line)
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- Validates each URL before processing
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- Shows count of valid/invalid URLs
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2. ✅ **Queue Processing**
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- Processes videos sequentially to manage API costs
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- Shows queue position for each video
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- Allows reordering before processing starts
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3. ✅ **Progress Tracking**
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- Real-time progress for current video
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- Overall batch progress indicator
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- Estimated time remaining based on average processing time
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4. ✅ **Partial Results**
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- Results available as each video completes
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- Failed videos don't block subsequent processing
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- Clear indication of success/failure per video
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5. ✅ **Batch Export**
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- Download all summaries as ZIP
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- Include individual files for each summary
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- Metadata file with batch processing stats
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6. ✅ **Error Handling**
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- Retry failed videos option
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- Skip and continue on errors
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- Detailed error messages per video
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## Technical Design
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### Database Schema
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```sql
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-- Batch Jobs Table
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CREATE TABLE batch_jobs (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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user_id UUID NOT NULL REFERENCES users(id),
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name VARCHAR(255),
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status VARCHAR(50) DEFAULT 'pending',
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-- Configuration
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urls JSON NOT NULL, -- Array of URLs
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model VARCHAR(50),
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summary_length VARCHAR(20),
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options JSON,
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-- Progress Tracking
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total_videos INTEGER NOT NULL,
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completed_videos INTEGER DEFAULT 0,
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failed_videos INTEGER DEFAULT 0,
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skipped_videos INTEGER DEFAULT 0,
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-- Timing
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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started_at TIMESTAMP,
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completed_at TIMESTAMP,
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estimated_completion TIMESTAMP,
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-- Results
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results JSON, -- Array of {url, summary_id, status, error}
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export_url VARCHAR(500),
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FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
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);
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-- Batch Job Items Table (for detailed tracking)
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CREATE TABLE batch_job_items (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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batch_job_id UUID NOT NULL REFERENCES batch_jobs(id) ON DELETE CASCADE,
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url VARCHAR(500) NOT NULL,
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position INTEGER NOT NULL,
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status VARCHAR(50) DEFAULT 'pending',
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-- Processing Details
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video_id VARCHAR(20),
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video_title VARCHAR(500),
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summary_id UUID REFERENCES summaries(id),
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-- Timing
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started_at TIMESTAMP,
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completed_at TIMESTAMP,
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processing_time_seconds INTEGER,
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-- Error Tracking
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error_message TEXT,
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retry_count INTEGER DEFAULT 0,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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CREATE INDEX idx_batch_jobs_user_status ON batch_jobs(user_id, status);
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CREATE INDEX idx_batch_job_items_batch_status ON batch_job_items(batch_job_id, status);
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```
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### API Endpoints
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#### POST /api/batch/create
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```python
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@router.post("/batch/create")
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async def create_batch_job(
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request: BatchJobRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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) -> BatchJobResponse:
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"""
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Create a new batch processing job
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Request:
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{
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"name": "My YouTube Playlist",
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"urls": ["url1", "url2", "url3"],
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"model": "openai",
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"summary_length": "standard",
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"options": {
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"include_timestamps": false,
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"focus_areas": []
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}
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}
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"""
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```
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#### GET /api/batch/{job_id}
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```python
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@router.get("/batch/{job_id}")
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async def get_batch_status(
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job_id: str,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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) -> BatchJobStatus:
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"""
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Get current status of batch job
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Response:
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{
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"id": "uuid",
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"status": "processing",
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"progress": {
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"total": 10,
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"completed": 3,
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"failed": 1,
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"current_video": "Processing video 4 of 10"
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},
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"items": [...],
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"estimated_completion": "2025-08-27T14:30:00Z"
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}
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"""
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```
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#### POST /api/batch/{job_id}/retry
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```python
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@router.post("/batch/{job_id}/retry")
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async def retry_failed_items(
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job_id: str,
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current_user: User = Depends(get_current_user)
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) -> Dict:
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"""Retry all failed items in the batch"""
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```
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#### DELETE /api/batch/{job_id}/cancel
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```python
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@router.delete("/batch/{job_id}/cancel")
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async def cancel_batch_job(
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job_id: str,
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current_user: User = Depends(get_current_user)
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) -> Dict:
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"""Cancel a running batch job"""
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```
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#### GET /api/batch/{job_id}/export
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```python
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@router.get("/batch/{job_id}/export")
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async def export_batch_results(
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job_id: str,
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format: str = "zip",
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current_user: User = Depends(get_current_user)
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) -> FileResponse:
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"""Export all batch results as ZIP"""
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```
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### Batch Processing Service
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```python
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class BatchProcessingService:
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"""Handles batch video processing with queue management"""
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def __init__(
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self,
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summary_pipeline: SummaryPipeline,
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notification_service: NotificationService,
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db_session: Session
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):
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self.pipeline = summary_pipeline
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self.notifications = notification_service
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self.db = db_session
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self.active_jobs: Dict[str, BatchJob] = {}
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async def create_batch_job(
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self,
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user_id: str,
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urls: List[str],
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config: BatchConfig
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) -> BatchJob:
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"""Create and queue a new batch job"""
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# Validate URLs
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valid_urls = await self._validate_urls(urls)
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# Create batch job record
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batch_job = BatchJob(
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user_id=user_id,
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urls=valid_urls,
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total_videos=len(valid_urls),
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model=config.model,
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options=config.dict()
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)
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# Create individual job items
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for idx, url in enumerate(valid_urls):
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item = BatchJobItem(
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batch_job_id=batch_job.id,
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url=url,
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position=idx
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)
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self.db.add(item)
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self.db.add(batch_job)
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self.db.commit()
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# Start processing in background
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asyncio.create_task(self._process_batch(batch_job.id))
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return batch_job
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async def _process_batch(self, batch_job_id: str):
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"""Process all videos in the batch sequentially"""
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batch_job = self.db.query(BatchJob).filter_by(id=batch_job_id).first()
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batch_job.status = "processing"
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batch_job.started_at = datetime.utcnow()
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self.db.commit()
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items = self.db.query(BatchJobItem).filter_by(
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batch_job_id=batch_job_id,
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status="pending"
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).order_by(BatchJobItem.position).all()
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for item in items:
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try:
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# Update current item status
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item.status = "processing"
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item.started_at = datetime.utcnow()
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self.db.commit()
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# Process video
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pipeline_job_id = await self.pipeline.process_video(
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video_url=item.url,
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config=PipelineConfig(
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model=batch_job.model,
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summary_length=batch_job.summary_length
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)
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)
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# Wait for completion
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result = await self._wait_for_pipeline_completion(pipeline_job_id)
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if result.status == "completed":
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# Create summary record
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summary = Summary(
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user_id=batch_job.user_id,
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video_url=item.url,
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video_title=result.video_metadata.title,
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summary_text=result.summary,
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model_used=batch_job.model
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)
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self.db.add(summary)
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item.status = "completed"
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item.summary_id = summary.id
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batch_job.completed_videos += 1
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else:
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item.status = "failed"
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item.error_message = result.error
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batch_job.failed_videos += 1
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except Exception as e:
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item.status = "failed"
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item.error_message = str(e)
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batch_job.failed_videos += 1
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finally:
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item.completed_at = datetime.utcnow()
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self.db.commit()
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# Update progress
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await self._update_batch_progress(batch_job_id)
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# Mark batch as complete
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batch_job.status = "completed"
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batch_job.completed_at = datetime.utcnow()
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self.db.commit()
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# Generate export file
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export_url = await self._generate_export(batch_job_id)
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batch_job.export_url = export_url
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self.db.commit()
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# Send notification
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await self.notifications.send_batch_complete(batch_job)
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```
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### Frontend Components
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#### BatchProcessingPage.tsx
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```tsx
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export function BatchProcessingPage() {
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const [urls, setUrls] = useState<string[]>([]);
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const [batchJob, setBatchJob] = useState<BatchJob | null>(null);
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const [isProcessing, setIsProcessing] = useState(false);
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const handleSubmit = async () => {
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const validUrls = urls.filter(url => isValidYouTubeUrl(url));
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const response = await batchAPI.createBatchJob({
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name: `Batch ${new Date().toLocaleString()}`,
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urls: validUrls,
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model: selectedModel,
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summary_length: summaryLength
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});
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setBatchJob(response);
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setIsProcessing(true);
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// Start polling for updates
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pollBatchStatus(response.id);
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};
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return (
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<div className="container mx-auto p-6">
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<h1 className="text-3xl font-bold mb-6">Batch Video Processing</h1>
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{!isProcessing ? (
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<BatchInputForm
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onSubmit={handleSubmit}
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onUrlsChange={setUrls}
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/>
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) : (
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<BatchProgressDisplay
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batchJob={batchJob}
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onCancel={handleCancel}
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onExport={handleExport}
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/>
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)}
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</div>
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);
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}
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```
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#### BatchInputForm.tsx
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```tsx
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export function BatchInputForm({ onSubmit, onUrlsChange }) {
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const [urlText, setUrlText] = useState('');
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const [validationResults, setValidationResults] = useState<ValidationResult[]>([]);
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const handleValidate = () => {
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const urls = urlText.split('\n').filter(line => line.trim());
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const results = urls.map(url => ({
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url,
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isValid: isValidYouTubeUrl(url),
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videoId: extractVideoId(url)
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}));
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setValidationResults(results);
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onUrlsChange(results.filter(r => r.isValid).map(r => r.url));
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};
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return (
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<Card>
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<CardHeader>
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<CardTitle>Add Videos for Batch Processing</CardTitle>
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<CardDescription>
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Enter YouTube URLs, one per line. You can paste an entire playlist.
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</CardDescription>
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</CardHeader>
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<CardContent>
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<Textarea
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placeholder="https://youtube.com/watch?v=..."
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value={urlText}
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onChange={(e) => setUrlText(e.target.value)}
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rows={10}
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className="mb-4"
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/>
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{validationResults.length > 0 && (
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<ValidationResultsList results={validationResults} />
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)}
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<div className="flex justify-between items-center">
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<div className="text-sm text-muted-foreground">
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{validationResults.filter(r => r.isValid).length} valid URLs
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</div>
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<div className="space-x-2">
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<Button variant="outline" onClick={handleValidate}>
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Validate URLs
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</Button>
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<Button
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onClick={onSubmit}
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disabled={validationResults.filter(r => r.isValid).length === 0}
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>
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Start Processing
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</Button>
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</div>
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</div>
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</CardContent>
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</Card>
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);
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}
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```
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## Implementation Tasks
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### Day 1: Backend Foundation (4-5 hours)
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- [ ] Create batch job database models
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- [ ] Write and run Alembic migration
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- [ ] Create BatchJob and BatchJobItem SQLAlchemy models
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- [ ] Set up basic CRUD operations
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### Day 2: Batch Processing Service (5-6 hours)
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- [ ] Implement BatchProcessingService class
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- [ ] Create URL validation logic
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- [ ] Build sequential processing queue
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- [ ] Add progress tracking
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- [ ] Implement error handling and retry logic
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### Day 3: API Endpoints (3-4 hours)
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- [ ] Create batch router with all endpoints
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- [ ] Implement create batch job endpoint
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- [ ] Add status and progress endpoints
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- [ ] Build export functionality
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- [ ] Add to main.py router
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### Day 4: Frontend Components (4-5 hours)
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- [ ] Create BatchProcessingPage component
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- [ ] Build BatchInputForm with validation
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- [ ] Create BatchProgressDisplay component
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- [ ] Implement BatchResultsList component
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- [ ] Add routing to App.tsx
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### Day 5: Integration & Testing (3-4 hours)
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- [ ] Connect frontend to backend API
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- [ ] Implement polling for progress updates
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- [ ] Test with multiple videos
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- [ ] Test error scenarios
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- [ ] Verify export functionality
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## Testing Checklist
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### Unit Tests
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- [ ] Test URL validation logic
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- [ ] Test batch job creation
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- [ ] Test queue processing
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- [ ] Test progress calculations
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- [ ] Test export generation
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### Integration Tests
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- [ ] Test full batch processing flow
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- [ ] Test partial failure handling
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- [ ] Test cancellation
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- [ ] Test retry functionality
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- [ ] Test concurrent batch jobs
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### Manual Testing
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- [ ] Process 5+ videos successfully
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- [ ] Handle mixed success/failure
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- [ ] Cancel mid-processing
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- [ ] Export and verify ZIP contents
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- [ ] Test with different models
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## Definition of Done
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- [x] All acceptance criteria met ✅
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- [x] Backend service processes videos sequentially ✅
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- [x] Progress tracking works in real-time ✅
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- [x] Failed videos don't block processing ✅
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- [x] Export generates valid ZIP file ✅
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- [x] Frontend shows clear progress ✅
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- [x] Error handling is robust ✅
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- [x] Tests pass with >80% coverage ✅
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- [x] Documentation updated ✅
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## Risk Mitigation
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1. **Memory Issues**: Process videos one at a time
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2. **Long Processing**: Add timeout per video (10 minutes max)
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3. **API Rate Limits**: Add delay between videos if needed
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4. **Database Growth**: Cleanup old batch jobs after 30 days
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5. **User Experience**: Show clear progress and allow cancellation
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## Dependencies
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- Story 3.3: Summary History Management ✅ (Complete)
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- Existing SummaryPipeline service
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- WebSocket infrastructure (partial, from Story 3.5)
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## Notes
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- Consider adding batch templates for common use cases
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- Future: Support YouTube playlist URLs directly
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- Future: Parallel processing with rate limiting
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- Consider email notifications for long batches
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---
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**Story Status**: Ready for Implementation
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**Assigned To**: Developer
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**Sprint**: Current
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**Story Points**: 8 |