forked from hangshuo652/aurak
feat: implement QuestionBank CRUD with pagination and template query
- Add pagination support to findAll (page, limit query params) - Add findByTemplateId method to service - Add GET /by-template/:templateId endpoint to controller - Service already includes CRUD for QuestionBank and QuestionBankItem
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PORT=3001
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# IMPORTANT: Must change the following in production environment
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# Database path
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DATABASE_PATH=./data/metadata.db
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# Service host configuration (use actual server address in production)
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ELASTICSEARCH_HOST=http://127.0.0.1:9200 # Change for production
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TIKA_HOST=http://127.0.0.1:9998 # Change for production
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LIBREOFFICE_URL=http://127.0.0.1:8100 # Change for production
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JWT_SECRET=your-super-secure-jwt-secret-key-change-it-in-production
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# File Upload Configuration
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UPLOAD_FILE_PATH=./uploads
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MAX_FILE_SIZE=104857600
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TEMP_DIR=./temp
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# Vector Dimensions Configuration
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# Must match the output dimensions of your embedding model
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# Common values: 2560 (text-embedding-3-large), 1536 (text-embedding-3-small), 2048 (custom)
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DEFAULT_VECTOR_DIMENSIONS=2048
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# Chunk Size Limits Configuration
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# Maximum chunk size (tokens) - env var limit (highest priority)
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# Set according to your embedding model
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# OpenAI text-embedding-3-large: 8191
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# OpenAI text-embedding-3-small: 8191
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# Google Gemini embedding-001: 2048
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MAX_CHUNK_SIZE=8191
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# Maximum chunk overlap (tokens) - env var limit
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# Recommended: 10-20% of chunk size
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MAX_OVERLAP_SIZE=200
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# Memory Management Configuration
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# Default language for the system (zh, en, ja)
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# If not set, defaults to 'en'
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DEFAULT_LANGUAGE=en
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# Memory usage limit (MB). Triggers wait or forced GC when exceeded
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MAX_MEMORY_USAGE_MB=1024
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# Batch processing size (chunk count)
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CHUNK_BATCH_SIZE=100
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# Forced GC threshold (MB)
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GC_THRESHOLD_MB=800
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# Frontend settings
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# ALLOWED_HOSTS - Comma-separated list of hosts allowed for API connection
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# Set in frontend .env file as REACT_APP_ALLOWED_HOSTS
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