Skip to main content

Key-Value&Model Database

Project description

kvm-db

Supported Python Versions PyPI version

kvm-db is a Python library that provides a simple yet powerful interface for both key-value storage and model-based data management using SQLite. Designed for ease of use, it allows developers to quickly implement robust data storage solutions.

Features

  • Key-Value Store: Simple API for key-value data operations.
  • Model Database: Manage data using Python classes and objects.
  • Support Type Hinting

Supported Backends

  • SQLite

TODO: Support for other backends like MySQL, jsondb, etc.

Installation

Install kvm-db using pip:

pip install kvm-db

Quick Start

You can retrieve the value using this syntax

db[TABLE_NAME, KEY]
# Or
table_db = db[TABLE_NAME]
table_db[KEY]

Below is a quick example to get you started with kvm-db.

Key-Value Database Example

from kvm_db import KeyValDatabase, Sqlite

# Initialize the database with SQLite
kv_db = KeyValDatabase(Sqlite("kv.db"))

# Create a new table
kv_db.create_table("test_table")

# Adding and accessing data
kv_db["test_table", "key1"] = "value1"
kv_db["test_table"]["key2"] = "value2"

# Retrieve all items in the table
print(kv_db["test_table", :])  # Output: [('key1', 'value1'), ('key2', 'value2')]

# Update and delete data
kv_db["test_table", "key1"] = "updated_value"
del kv_db["test_table", "key1"]

# Check the table after deletion
print(kv_db["test_table", :])  # Output: []

Model Database Example

The Model Database in kvm-db provides an ORM-like interface designed specifically for Pydantic models, facilitating easy data management through object-oriented programming principles.

Features

  • Pydantic Model Support: Integrates seamlessly with Pydantic to ensure efficient data validation and serialization.
  • Serialization and Deserialization: Automatically serializes models to JSON for storage and deserializes JSON back into model instances upon retrieval, simplifying complex data type management.
  • Key-Value Underpinnings: The model database fundamentally uses a key-value store approach, enhancing simplicity and scalability.

TODO: Support native Python dataclasses and other data types.

from kvm_db import ModelDatabase, Sqlite, TableModel

class User(TableModel):
    name: str


# Initialize Model Database with SQLite
model_db_backend = Sqlite("model.db")
model_db = ModelDatabase(model_db_backend)

# Register the model
model_db.register(User)

# Create and insert a new user
user1 = User(name="Alice")
model_db.insert(user1)

# Query users
all_users = model_db[User][:]
print(all_users[0].name)  # Output: Alice

# Query user with id
alice_id = user1.id
alice = model_db[User][alice_id]
print(alice.name)  # Output: Alice

# Update user information
alice.name = "Bob"
alice.commit()

# Confirm update
print(model_db[User, :][0].name)  # Output: Bob

# Delete a user
user1.delete()
print(model_db[User, :])  # Output: []

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kvm_db-0.1.2.tar.gz (7.5 kB view hashes)

Uploaded Source

Built Distribution

kvm_db-0.1.2-py3-none-any.whl (6.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page