Database Skill

Database Skill

Purpose

Set up and manage TinyDB document database with proper configuration and query patterns.

Instructions

Database Setup

from tinydb import TinyDB, Query
from tinydb.storages import JSONStorage
from tinydb.middlewares import CachingMiddleware
from pathlib import Path
from typing import Optional, List

class TodoDatabase:
    """TinyDB wrapper for todo task storage."""
    
    def __init__(self, db_path: str = "todo_data.json"):
        """Initialize database with caching."""
        self.db_path = Path(db_path)
        self.db = TinyDB(
            self.db_path,
            storage=CachingMiddleware(JSONStorage),
            indent=2,
            ensure_ascii=False
        )
        self.tasks = self.db.table('tasks')
        self.query = Query()
    
    def close(self):
        """Close database connection."""
        self.db.close()
    
    def __enter__(self):
        return self
    
    def __exit__(self, exc_type, exc_val, exc_tb):
        self.close()

ID Generation

def get_next_id(self) -> int:
    """Generate next unique ID."""
    all_tasks = self.tasks.all()
    if not all_tasks:
        return 1
    return max(task['id'] for task in all_tasks) + 1

CRUD Operations

def insert(self, task: dict) -> int:
    """Insert a new task."""
    task['id'] = self.get_next_id()
    doc_id = self.tasks.insert(task)
    return task['id']

def get(self, task_id: int) -> Optional[dict]:
    """Get task by ID."""
    return self.tasks.get(self.query.id == task_id)

def get_all(self) -> List[dict]:
    """Get all tasks."""
    return self.tasks.all()

def update(self, task_id: int, updates: dict) -> bool:
    """Update task by ID."""
    result = self.tasks.update(updates, self.query.id == task_id)
    return len(result) > 0

def delete(self, task_id: int) -> bool:
    """Delete task by ID."""
    result = self.tasks.remove(self.query.id == task_id)
    return len(result) > 0

Query Patterns

# Simple equality
tasks = db.tasks.search(db.query.priority == 'high')

# Logical AND
tasks = db.tasks.search(
    (db.query.priority == 'high') & 
    (db.query.status == 'pending')
)

# Logical OR
tasks = db.tasks.search(
    (db.query.priority == 'high') | 
    (db.query.priority == 'urgent')
)

# NOT
tasks = db.tasks.search(~(db.query.status == 'completed'))

# Test function (for complex conditions)
tasks = db.tasks.search(
    db.query.title.test(lambda t: 'keyword' in t.lower())
)

# Check if value in list
tasks = db.tasks.search(
    db.query.tags.test(lambda tags: 'work' in tags)
)

# Exists check
tasks = db.tasks.search(db.query.due_date.exists())

# Comparison operators
tasks = db.tasks.search(db.query.priority != 'low')

Full Database Class

class TodoDatabase:
    def __init__(self, db_path: str = "todo_data.json"):
        self.db = TinyDB(
            db_path,
            storage=CachingMiddleware(JSONStorage),
            indent=2
        )
        self.tasks = self.db.table('tasks')
        self.query = Query()
    
    def get_next_id(self) -> int:
        all_tasks = self.tasks.all()
        return max((t['id'] for t in all_tasks), default=0) + 1
    
    def insert(self, task: dict) -> int:
        task['id'] = self.get_next_id()
        self.tasks.insert(task)
        return task['id']
    
    def get(self, task_id: int) -> Optional[dict]:
        return self.tasks.get(self.query.id == task_id)
    
    def get_all(self) -> List[dict]:
        return self.tasks.all()
    
    def search(self, condition) -> List[dict]:
        return self.tasks.search(condition)
    
    def update(self, task_id: int, updates: dict) -> bool:
        return bool(self.tasks.update(updates, self.query.id == task_id))
    
    def delete(self, task_id: int) -> bool:
        return bool(self.tasks.remove(self.query.id == task_id))
    
    def clear(self):
        self.tasks.truncate()
    
    def close(self):
        self.db.close()

Best Practices

• Use CachingMiddleware for better performance
• Always handle database closing properly
• Use context managers for automatic cleanup
• Generate IDs automatically
• Use Query objects for type-safe queries
• Index frequently queried fields conceptually