kybra-simple-db 0.3.2

A lightweight key-value database written in Python, intended for use with Kybra on the Internet Computer (IC)

Kybra Simple DB

A lightweight key-value database with entity relationships and audit logging capabilities, intended for small to medium-sized applications running on the Internet Computer using Kybra.

Features

• Persistent Storage: Works with Kybra's StableBTreeMap stable structure for persistent storage on your canister's stable memory so your data persists automatically across canister upgrades.
• Entity-Relational Database: Create, read and write entities with OneToOne, OneToMany, ManyToOne, and ManyToMany relationships.
• Audit Logging: Track all changes to your data with created/updated timestamps and who created and updated each entity.
• Ownership: Assign owners to your data objects to control who can modify them.

Installation

pip install kybra-simple-db

Quick Start

The database storage must be initialized before using Kybra Simple DB. Here's an example of how to do it:

from kybra import StableBTreeMap
from kybra_simple_db import Database

# Initialize storage and database
storage = StableBTreeMap[str, str](memory_id=1, max_key_size=100, max_value_size=1000)  # Use a unique memory ID for each storage instance
Database.init(db_storage=storage)

Read Kybra's documentation for more information regarding StableBTreeMap and memory IDs.

Next, define your entities:

from kybra_simple_db import (
    Database, Entity, String, Integer,
    OneToOne, OneToMany, ManyToOne, ManyToMany, TimestampedMixin
)

class Person(Entity, TimestampedMixin):
    __alias__ = "name"  # Use `name` as the alias field for lookup by `name`
    name = String(min_length=2, max_length=50)
    age = Integer(min_value=0, max_value=120)
    friends = ManyToMany("Person", "friends")
    mother = ManyToOne("Person", "children")
    children = OneToMany("Person", "mother")
    spouse = OneToOne("Person", "spouse")

Then use the defined entities to store objects:

    # Create and save an object
    john = Person(name="John", age=30)

    # Update an object's property
    john.age = 33  # Type checking and validation happens automatically

    # use the `_id` property to load an entity with the [] operator
    Person(name="Peter")
    peter = Person["Peter"]

    # Delete an object
    peter.delete()

    # Create relationships
    alice = Person(name="Alice")
    eva = Person(name="Eva")
    john.mother = alice
    assert john in alice.children
    eva.friends = [alice]
    assert alice in eva.friends
    assert eva in alice.friends

    print(alice.serialize())  # Prints the dictionary representation of an object
    # Prints: {'timestamp_created': '2025-09-12 22:15:35.882', 'timestamp_updated': '2025-09-12 22:15:35.883', 'creator': 'system', 'updater': 'system', 'owner': 'system', '_type': 'Person', '_id': '3', 'name': 'Alice', 'age': None, 'children': '1', 'friends': '4'}

    assert Person.count() == 3
    assert Person.max_id() == 4
    assert Person.instances() == [john, alice, eva]

    # Cursor-based pagination
    assert Person.load_some(0, 2) == [john, alice]
    assert Person.load_some(2, 2) == [eva]

    # Retrieve database contents in JSON format
    print(Database.get_instance().dump_json(pretty=True))

    # Audit log
    audit_records = Database.get_instance().get_audit(id_from=0, id_to=5)
    pprint(audit_records['0'])
    ''' Prints:

    ['save',
    1744138342934,
    'Person@1',
    {'_id': '1',
    '_type': 'Person',
    'age': 30,
    'creator': 'system',
    'name': 'John',
    'owner': 'system',
    'timestamp_created': '2025-04-08 20:52:22.934',
    'timestamp_updated': '2025-04-08 20:52:22.934',
    'updater': 'system'}]

    '''

For more usage examples, see the tests.

API Reference

• Core: Database, Entity
• Properties: String, Integer, Float, Boolean
• Relationships: OneToOne, OneToMany, ManyToOne, ManyToMany
• Mixins: TimestampedMixin (timestamps and ownership tracking)

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/smart-social-contracts/kybra-simple-db.git
cd kybra-simple-db

# Recommended setup
pyenv install 3.10.7
pyenv local 3.10.7
python -m venv venv
source venv/bin/activate

# Install development dependencies
pip install -r requirements-dev.txt

# Running tests
./run_linters.sh && (cd tests && ./run_test.sh && ./run_test_ic.sh)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT.