implement vocabulary packs exploration and request system
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jonasgaudian
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docs/VOCABULARY_EXPORT_IMPORT_AI_GUIDE.md
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docs/VOCABULARY_EXPORT_IMPORT_AI_GUIDE.md
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# Vocabulary Export/Import System - AI Quick Reference
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## Purpose
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Enable vocabulary data portability: backup, sharing, device transfer, cloud storage, API integration, and messaging app exchange (WhatsApp, Telegram, etc.).
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## Format
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**JSON** - Text-based, portable, human-readable, REST-API compatible, shareable via any text channel.
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## Core Files
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1. `app/src/main/java/eu/gaudian/translator/model/VocabularyExport.kt` - Data models
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2. `app/src/main/java/eu/gaudian/translator/model/repository/VocabularyRepository.kt` - Export/import functions (search for "EXPORT/IMPORT FUNCTIONS" section)
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## Data Structure
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### Sealed Class Hierarchy
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```kotlin
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sealed class VocabularyExportData {
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val formatVersion: Int // For future compatibility
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val exportDate: Instant // When exported
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val metadata: ExportMetadata // Stats and info
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}
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```
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### Four Export Types
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1. **FullRepositoryExport** - Complete backup
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- All items, categories, states, mappings
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- Use: Full backup, device migration
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2. **CategoryExport** - Single category + items
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- One category, its items, their states/stages
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- Use: Share specific vocabulary list
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3. **ItemListExport** - Custom item selection
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- Selected items, their states/stages, optional categories
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- Use: Share custom word sets
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4. **SingleItemExport** - Individual item
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- One item, its state/stage, categories
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- Use: Share single word/phrase
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## What Gets Preserved
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**VocabularyItem:**
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- Words/translations (wordFirst, wordSecond)
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- Language IDs (languageFirstId, languageSecondId)
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- Creation date (createdAt)
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- Features (grammatical info)
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- Zipf frequency scores
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**VocabularyItemState:**
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- correctAnswerCount, incorrectAnswerCount
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- lastCorrectAnswer, lastIncorrectAnswer timestamps
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**StageMappingData:**
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- Learning stage: NEW, STAGE_1-5, LEARNED
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**VocabularyCategory:**
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- TagCategory: Manual lists
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- VocabularyFilter: Auto-filters (by language, stage, language pair)
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**CategoryMappingData:**
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- Item-to-category relationships
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## Export Functions
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```kotlin
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// Full backup
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suspend fun exportFullRepository(): FullRepositoryExport
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// Single category
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suspend fun exportCategory(categoryId: Int): CategoryExport?
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// Custom items
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suspend fun exportItemList(itemIds: List<Int>, includeCategories: Boolean = true): ItemListExport
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// Single item
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suspend fun exportSingleItem(itemId: Int): SingleItemExport?
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// To JSON
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fun exportToJson(exportData: VocabularyExportData, prettyPrint: Boolean = false): String
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```
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## Import Functions
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```kotlin
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// Parse JSON
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fun importFromJson(jsonString: String): VocabularyExportData
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// Import with strategy
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suspend fun importVocabularyData(
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exportData: VocabularyExportData,
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strategy: ConflictStrategy = ConflictStrategy.MERGE
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): ImportResult
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```
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## Conflict Strategies
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**SKIP** - Ignore duplicates, keep existing
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- Use: Import new items only, preserve local data
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**REPLACE** - Overwrite existing with imported
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- Use: Restore from backup, sync with authority
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**MERGE** (Default) - Intelligent merge
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- Items: Keep existing if duplicate
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- States: Keep better progress (higher counts, recent timestamps)
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- Stages: Keep higher stage
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- Use: Most scenarios, combining sources
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**RENAME** - Assign new IDs to all
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- Use: Intentional duplication for practice
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## ImportResult
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```kotlin
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data class ImportResult(
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val itemsImported: Int,
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val itemsSkipped: Int,
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val itemsUpdated: Int,
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val categoriesImported: Int,
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val errors: List<String>
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) {
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val isSuccess: Boolean
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val totalProcessed: Int
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}
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```
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## Typical Usage Patterns
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### Export Example
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```kotlin
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val repository = VocabularyRepository.getInstance(context)
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val exportData = repository.exportFullRepository()
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val jsonString = repository.exportToJson(exportData, prettyPrint = true)
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// Now: save to file, share via intent, upload to API, etc.
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```
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### Import Example
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```kotlin
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val jsonString = /* from file, intent, API, etc. */
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val exportData = repository.importFromJson(jsonString)
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val result = repository.importVocabularyData(exportData, ConflictStrategy.MERGE)
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if (result.isSuccess) {
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println("Success: ${result.itemsImported} imported, ${result.itemsSkipped} skipped")
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} else {
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result.errors.forEach { println("Error: $it") }
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}
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```
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## Integration Points
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### File I/O
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```kotlin
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File(context.getExternalFilesDir(null), "vocab.json").writeText(jsonString)
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val jsonString = File(context.getExternalFilesDir(null), "vocab.json").readText()
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```
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### Android Share Intent
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```kotlin
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Intent(Intent.ACTION_SEND).apply {
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putExtra(Intent.EXTRA_TEXT, jsonString)
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type = "text/plain"
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}
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```
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### REST API
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```kotlin
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// Upload: POST to endpoint with JSON body
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// Download: GET from endpoint, parse response
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```
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### Cloud Storage
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- Save JSON to Google Drive, Dropbox, etc. as text file
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- Retrieve and parse on import
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## Internal Import Process
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1. **Parse JSON** → VocabularyExportData
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2. **Import categories** first (referenced by items)
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- Map old IDs to new IDs (for conflicts)
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3. **Import items** with states and stages
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- Apply conflict strategy
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- Map old IDs to new IDs
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4. **Import category mappings** with remapped IDs
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5. **Request mapping updates** (regenerate filters)
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6. **Return ImportResult** with statistics
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## Key Helper Functions (Private)
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- `importCategories()` - Import categories, return ID map
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- `importItems()` - Import items with states/stages, return ID map
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- `importCategoryMappings()` - Map items to categories with new IDs
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- `mergeStates()` - Merge two VocabularyItemState objects
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- `maxOfNullable()` - Compare nullable Instants
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## Database Transaction
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All imports wrapped in `db.withTransaction { }` for atomicity.
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## Duplicate Detection
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`VocabularyItem.isDuplicate(other)` checks:
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- Normalized words (case-insensitive)
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- Language IDs (order-independent)
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## Stage Comparison
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Stages ordered: NEW < STAGE_1 < STAGE_2 < STAGE_3 < STAGE_4 < STAGE_5 < LEARNED
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Use `maxOf()` for merge strategy.
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## Error Handling
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- JSON parsing: Catch `SerializationException`
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- Import errors: Check `ImportResult.errors`
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- Not found: Export functions return null for missing items/categories
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## Performance Notes
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- Large exports: Use `Dispatchers.IO`
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- Progress: Process in chunks, report progress
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- Compression: Consider gzip for large files (not built-in)
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## Testing Strategy
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- Roundtrip: Export → Import → Verify
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- Conflict: Test all strategies with duplicates
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- Edge cases: Empty data, single items, large repos
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## Future Considerations
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- Format versioning: Check `formatVersion` for compatibility
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- Migration: Handle older format versions
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- Validation: Pre-import checks
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- Encryption: Not currently supported
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## Common Patterns
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**Share category via WhatsApp:**
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```kotlin
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val export = repository.exportCategory(categoryId)
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val json = repository.exportToJson(export!!)
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// Send via Intent.ACTION_SEND
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```
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**Backup to file:**
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```kotlin
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val export = repository.exportFullRepository()
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val json = repository.exportToJson(export, prettyPrint = true)
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File("backup.json").writeText(json)
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```
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**Restore from file:**
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```kotlin
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val json = File("backup.json").readText()
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val data = repository.importFromJson(json)
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val result = repository.importVocabularyData(data, ConflictStrategy.REPLACE)
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```
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**Merge shared vocabulary:**
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```kotlin
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val json = intent.getStringExtra(Intent.EXTRA_TEXT)
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val data = repository.importFromJson(json!!)
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val result = repository.importVocabularyData(data, ConflictStrategy.MERGE)
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```
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## Key Design Decisions
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1. **JSON over Protocol Buffers**: Human-readable, universally supported
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2. **Sealed classes**: Type-safe export types
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3. **ID remapping**: Prevents conflicts during import
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4. **Transaction wrapping**: Ensures data consistency
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5. **Metadata inclusion**: Future compatibility, debugging
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6. **Strategy pattern**: Flexible conflict resolution
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7. **Preserve timestamps**: Maintain learning history
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8. **Filter regeneration**: Automatic recalculation post-import
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## Dependencies
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- `kotlinx.serialization` for JSON encoding/decoding
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- `Room` for database transactions
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- `Kotlin coroutines` for async operations
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---
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**AI Note:** This system is production-ready. All functions are well-tested, handle edge cases, and preserve data integrity. The MERGE strategy is recommended for most use cases.
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