JSON Collections

def collection(self, name):
    """Create a wrapper for working with Jx9 collections.
    Returns Collection object."""
    ...

class Collection:
    def __init__(self, unqlite, name):
        """Initialize collection with database and collection name."""
        ...

    def create(self):
        """Create the named collection. Returns True if created, False if exists."""
        ...

    def drop(self):
        """Drop the collection and all associated records. Returns True if dropped."""
        ...

    def exists(self):
        """Return boolean indicating whether the collection exists."""
        ...

db = unqlite.UnQLite('documents.db')

# Create collection wrapper
users = db.collection('users')

# Create collection if it doesn't exist
if not users.exists():
    users.create()
    print("Users collection created")

# Work with collection
print(f"Collection exists: {users.exists()}")

# Drop collection when done
# users.drop()

def store(self, record, return_id=True):
    """Create a new JSON document in the collection.
    Returns record ID if return_id=True, otherwise returns boolean."""
    ...

def fetch(self, record_id):
    """Fetch the document associated with the given ID."""
    ...

def update(self, record_id, record):
    """Update the record identified by the given ID."""
    ...

def delete(self, record_id):
    """Delete the document associated with the given ID."""
    ...

def all(self):
    """Retrieve all records in the given collection."""
    ...

db = unqlite.UnQLite('blog.db')
posts = db.collection('posts')

if not posts.exists():
    posts.create()

# Store new documents
post1_id = posts.store({
    'title': 'Getting Started with UnQLite',
    'content': 'UnQLite is a lightweight NoSQL database...',
    'author': 'Alice',
    'tags': ['database', 'nosql', 'tutorial'],
    'published': True
})
print(f"Created post with ID: {post1_id}")

post2_id = posts.store({
    'title': 'Advanced Database Techniques',  
    'content': 'Learn advanced patterns for database design...',
    'author': 'Bob',
    'tags': ['database', 'advanced'],
    'published': False
})

# Fetch specific document
post = posts.fetch(post1_id)
print(f"Retrieved post: {post['title']}")

# Update document
posts.update(post1_id, {
    'title': 'Getting Started with UnQLite (Updated)',
    'content': post['content'] + ' Updated with new examples.',
    'author': 'Alice',
    'tags': ['database', 'nosql', 'tutorial', 'updated'],
    'published': True
})

# Get all documents
all_posts = posts.all()
print(f"Total posts: {len(all_posts)}")

# Delete document
posts.delete(post2_id)

def __getitem__(self, record_id):
    """Fetch document using collection[record_id] syntax."""
    ...

def __setitem__(self, record_id, record):
    """Update document using collection[record_id] = record syntax."""
    ...

def __delitem__(self, record_id):
    """Delete document using del collection[record_id] syntax."""
    ...

def __len__(self):
    """Return the number of records in the document collection."""
    ...

db = unqlite.UnQLite(':mem:')
products = db.collection('products')
products.create()

# Store initial document
product_id = products.store({
    'name': 'Laptop',
    'price': 999.99,
    'category': 'electronics',
    'in_stock': True
})

# Dictionary-style access
product = products[product_id]
print(f"Product: {product['name']}")

# Dictionary-style update
products[product_id] = {
    'name': 'Gaming Laptop',
    'price': 1299.99,
    'category': 'electronics',
    'in_stock': True,
    'features': ['RGB lighting', 'High refresh rate']
}

# Check collection size
print(f"Products in collection: {len(products)}")

# Dictionary-style deletion
del products[product_id]
print(f"Products after deletion: {len(products)}")

def filter(self, filter_fn):
    """Filter the records in the collection using the provided Python callback.
    Returns list of matching documents."""
    ...

db = unqlite.UnQLite(':mem:')
employees = db.collection('employees')
employees.create()

# Add sample data
sample_employees = [
    {'name': 'Alice', 'department': 'Engineering', 'salary': 85000, 'active': True},
    {'name': 'Bob', 'department': 'Marketing', 'salary': 65000, 'active': True},
    {'name': 'Charlie', 'department': 'Engineering', 'salary': 95000, 'active': False},
    {'name': 'Diana', 'department': 'Sales', 'salary': 70000, 'active': True},
    {'name': 'Eve', 'department': 'Engineering', 'salary': 90000, 'active': True}
]

for emp in sample_employees:
    employees.store(emp)

# Filter by department
def is_engineer(employee):
    return employee.get('department') == 'Engineering'

engineers = employees.filter(is_engineer)
print(f"Engineers: {len(engineers)}")
for eng in engineers:
    print(f"  {eng['name']}: ${eng['salary']}")

# Filter by salary and status
def high_earning_active(employee):
    return employee.get('salary', 0) > 80000 and employee.get('active', False)

high_earners = employees.filter(high_earning_active)
print(f"High-earning active employees: {len(high_earners)}")

# Complex filter with multiple conditions
def senior_engineer(employee):
    return (employee.get('department') == 'Engineering' and 
            employee.get('salary', 0) > 90000 and
            employee.get('active', False))

senior_engineers = employees.filter(senior_engineer)
print(f"Senior engineers: {len(senior_engineers)}")

def set_schema(self, _schema=None, **kwargs):
    """Set collection schema for document validation."""
    ...

def get_schema(self):
    """Get the current collection schema."""
    ...

db = unqlite.UnQLite('structured.db')
users = db.collection('users')
users.create()

# Define schema
user_schema = {
    'name': {'type': 'string', 'required': True},
    'email': {'type': 'string', 'required': True},
    'age': {'type': 'number', 'required': False},
    'active': {'type': 'boolean', 'default': True}
}

# Set schema
users.set_schema(user_schema)

# Alternative syntax using kwargs
users.set_schema(
    name={'type': 'string', 'required': True},
    email={'type': 'string', 'required': True}
)

# Retrieve schema
current_schema = users.get_schema()
print(f"Current schema: {current_schema}")

# Store documents (schema validation depends on UnQLite/Jx9 implementation)
try:
    user_id = users.store({
        'name': 'Alice Johnson',
        'email': 'alice@example.com',
        'age': 30
    })
    print(f"User stored with ID: {user_id}")
except Exception as e:
    print(f"Schema validation failed: {e}")

def last_record_id(self):
    """Return the ID of the last document to be stored."""
    ...

def current_record_id(self):
    """Return the ID of the current JSON document."""
    ...

def creation_date(self):
    """Return collection creation date."""
    ...

def error_log(self):
    """Return collection error log."""
    ...

db = unqlite.UnQLite('metadata.db')
logs = db.collection('logs')
logs.create()

# Store some documents
log1_id = logs.store({'level': 'info', 'message': 'Application started'})
log2_id = logs.store({'level': 'warning', 'message': 'Low disk space'})
log3_id = logs.store({'level': 'error', 'message': 'Database connection failed'})

# Get metadata
print(f"Last record ID: {logs.last_record_id()}")
print(f"Current record ID: {logs.current_record_id()}")
print(f"Creation date: {logs.creation_date()}")

# Check for errors
error_log = logs.error_log()
if error_log:
    print(f"Errors: {error_log}")

def fetch_current(self):
    """Return current document at cursor position."""
    ...

def reset_cursor(self):
    """Reset collection cursor to beginning."""
    ...

db = unqlite.UnQLite(':mem:')
news = db.collection('news')
news.create()

# Add articles
articles = [
    {'headline': 'Tech News Update', 'category': 'technology'},
    {'headline': 'Sports Results', 'category': 'sports'},
    {'headline': 'Weather Forecast', 'category': 'weather'}
]

for article in articles:
    news.store(article)

# Reset cursor and fetch current
news.reset_cursor()
current = news.fetch_current()
if current:
    print(f"Current article: {current['headline']}")

def iterator(self):
    """Return CollectionIterator object."""
    ...

def __iter__(self):
    """Return iterator for collection documents."""
    ...

class CollectionIterator:
    def __iter__(self):
        """Setup iteration."""
        ...
        
    def __next__(self):
        """Get next document. Raises StopIteration at end."""
        ...

db = unqlite.UnQLite(':mem:')
tasks = db.collection('tasks')
tasks.create()

# Add tasks
task_data = [
    {'title': 'Write documentation', 'priority': 'high', 'completed': False},
    {'title': 'Review code', 'priority': 'medium', 'completed': True},
    {'title': 'Deploy application', 'priority': 'high', 'completed': False},
    {'title': 'Update dependencies', 'priority': 'low', 'completed': False}
]

for task in task_data:
    tasks.store(task)

# Iterate through all tasks
print("All tasks:")
for task in tasks:
    status = "✓" if task['completed'] else "○"
    print(f"  {status} {task['title']} ({task['priority']})")

# Use explicit iterator
print("High-priority tasks:")
task_iter = tasks.iterator()
for task in task_iter:
    if task['priority'] == 'high':
        print(f"  {task['title']}")

db = unqlite.UnQLite('complex.db')
orders = db.collection('orders')
orders.create()

# Complex nested document
order = {
    'order_id': 'ORD-2024-001',
    'customer': {
        'name': 'Alice Johnson',
        'email': 'alice@example.com',
        'address': {
            'street': '123 Main St',
            'city': 'Anytown',
            'zip': '12345'
        }
    },
    'items': [
        {'product': 'Laptop', 'quantity': 1, 'price': 999.99},
        {'product': 'Mouse', 'quantity': 2, 'price': 29.99}
    ],
    'total': 1059.97,
    'status': 'pending',
    'created_at': '2024-01-15T10:30:00Z'
}

order_id = orders.store(order)

# Filter by nested properties
def high_value_orders(order):
    return order.get('total', 0) > 500

valuable_orders = orders.filter(high_value_orders)
print(f"High-value orders: {len(valuable_orders)}")

db = unqlite.UnQLite('bulk.db')
inventory = db.collection('inventory')
inventory.create()

# Bulk insert
products = [
    {'sku': 'LAPTOP-001', 'name': 'Gaming Laptop', 'stock': 25},
    {'sku': 'MOUSE-001', 'name': 'Wireless Mouse', 'stock': 100},
    {'sku': 'KEYBOARD-001', 'name': 'Mechanical Keyboard', 'stock': 50}
]

# Store all products
product_ids = []
for product in products:
    product_id = inventory.store(product, return_id=True)
    product_ids.append(product_id)

print(f"Stored {len(product_ids)} products")

# Bulk update using filter
def needs_restock(item):
    return item.get('stock', 0) < 30

low_stock_items = inventory.filter(needs_restock)
print(f"Items needing restock: {len(low_stock_items)}")

# Update low stock items
for item in low_stock_items:
    # Note: This requires knowing the record ID
    # In practice, you'd need to track IDs or use custom logic
    updated_item = item.copy()
    updated_item['status'] = 'reorder_needed'
    # inventory.update(item_id, updated_item)

# Efficient: Simple filter conditions
def active_users(user):
    return user.get('active', False)

# Less efficient: Complex calculations in filter
def complex_scoring(user):
    score = sum(user.get('metrics', {}).values()) * 0.8
    return score > calculate_threshold(user.get('category'))

# Better: Pre-calculate and store scores
def pre_calculated_filter(user):
    return user.get('precalculated_score', 0) > user.get('threshold', 0)