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Generate Repository
ASecurityGenerate repository class for SQLite data access with CRUD methods, row mapping, and TypeScript types. Use when creating new database tables or data access layers.
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- Added September 12, 2026
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[](https://www.skillsdirectory.com/skills/aibot88-generate-repository)---
name: generate-repository
description: Generate repository class for SQLite data access with CRUD methods, row mapping, and TypeScript types. Use when creating new database tables or data access layers.
allowed-tools: Read, Write, Glob, Grep
---
# Generate Repository
Generate a repository class for SQLite data access following the repository pattern.
## Usage
When user requests to create a repository, ask for:
1. **Entity name** (e.g., "WaterLog", "SleepLog", "WeightTracking")
2. **Table name** (snake_case, e.g., "water_logs", "sleep_logs")
3. **Fields** and their types (with database column names)
4. **Which fields are JSON** (arrays, objects, etc.)
5. **Whether to include getByDate() method**
## Implementation Pattern
Based on `src/lib/database/repositories/mealLogRepository.ts` pattern.
### File Structure
Create file: `src/lib/database/repositories/{entityName}Repository.ts`
```typescript
import { getDatabase } from '../connection';
import type { EntityType } from '@/lib/types/health';
import { v4 as uuidv4 } from 'uuid';
export class EntityRepository {
private db = getDatabase();
addEntity(data: Omit<EntityType, 'id' | 'createdAt'>): EntityType {
const id = uuidv4();
const createdAt = new Date().toISOString();
const newEntity = { ...data, id, createdAt };
const stmt = this.db.prepare(`
INSERT INTO table_name (id, field1, field2, created_at)
VALUES (?, ?, ?, ?)
`);
stmt.run(
newEntity.id,
newEntity.field1,
JSON.stringify(newEntity.field2), // for JSON fields
newEntity.createdAt
);
return newEntity;
}
getEntitiesByDate(date: string): EntityType[] {
const stmt = this.db.prepare('SELECT * FROM table_name WHERE date = ?');
const rows = stmt.all(date) as any[];
return rows.map((row) => ({
id: row.id,
date: row.date,
field1: row.field_1, // snake_case → camelCase
field2: JSON.parse(row.field_2), // JSON fields
createdAt: row.created_at,
}));
}
getEntityById(id: string): EntityType | null {
const stmt = this.db.prepare('SELECT * FROM table_name WHERE id = ?');
const row = stmt.get(id) as any;
if (!row) return null;
return {
id: row.id,
date: row.date,
field1: row.field_1,
field2: JSON.parse(row.field_2),
createdAt: row.created_at,
};
}
getAllEntities(): EntityType[] {
const stmt = this.db.prepare('SELECT * FROM table_name');
const rows = stmt.all() as any[];
return rows.map((row) => ({
id: row.id,
date: row.date,
field1: row.field_1,
field2: JSON.parse(row.field_2),
createdAt: row.created_at,
}));
}
updateEntity(id: string, updates: Partial<EntityType>): void {
const stmt = this.db.prepare('SELECT * FROM table_name WHERE id = ?');
const current = stmt.get(id) as any;
if (!current) throw new Error('Entity not found');
const updated = {
...current,
...updates,
field_2: JSON.stringify(updates.field2 || JSON.parse(current.field_2)),
};
const updateStmt = this.db.prepare(`
UPDATE table_name SET
field_1 = ?,
field_2 = ?
WHERE id = ?
`);
updateStmt.run(updated.field_1, updated.field_2, id);
}
deleteEntity(id: string): void {
const stmt = this.db.prepare('DELETE FROM table_name WHERE id = ?');
stmt.run(id);
}
}
```
## Key Conventions
- Class name: `{Entity}Repository` (PascalCase)
- Private `db` property via `getDatabase()`
- Use `uuid()` for IDs, ISO strings for timestamps
- Throw errors with descriptive messages (e.g., 'Entity not found')
- Map DB columns (snake_case) to TS props (camelCase)
- JSON fields use `JSON.stringify()` on write, `JSON.parse()` on read
- Date-based queries use `WHERE date = ?` pattern
- Include both getByDate and getById methods when applicable
## Steps
1. Ask user for entity name, table name, fields, and JSON fields
2. Create file: `src/lib/database/repositories/{entityName}Repository.ts`
3. Generate class with private db connection
4. Generate CRUD methods (add, get, update, delete)
5. Add row mapping for snake_case → camelCase conversion
6. Handle JSON fields with JSON.stringify/parse
7. Export class for use in API routes
## Implementation Checklist
- [ ] Repository class properly exported
- [ ] CRUD methods implemented
- [ ] Row mapping handles snake_case to camelCase
- [ ] JSON fields properly serialized
- [ ] Error handling for not found cases
- [ ] Timestamps use ISO format
- [ ] UUIDs generated for new records
Files in this skill
- SKILL.md
- source.json
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