Skip to main content

sqlite3i

codecov Quality Gate Status

An opinionated sqlite3 wrapper.

The main goal of this package is simply to have stmt.execute() return bool instead of a cursor object. So that it can be useful to indicate True if the query succeeds, or False otherwise. Empty results on INSERT, UPDATE, DELETE, and SELECT are considered as False.

It adopts the prepare - execute pattern merely for the user experience.

Synchronous usage

from sqlite3i import Database

db = Database('example.db')


def main():
    try:
        db.connect(timeout=30)

        stmt = db.prepare(
            'CREATE TABLE IF NOT EXISTS users ('
            '  id INTEGER PRIMARY KEY,'
            '  name TEXT NOT NULL,'
            '  age INTEGER NOT NULL'
            ');'
        )
        stmt.execute()  # True

        stmt = db.prepare('SELECT * FROM users')
        stmt.execute()  # False, no rows yet!

        stmt = db.prepare('SELECT * FROM user')
        stmt.execute()  # False, no such table!

        stmt = db.prepare(
            'INSERT INTO users (name, age) VALUES (?, ?)'
        )
        stmt.execute(['Alice'])  # False
        stmt.execute(['Alice', 30])  # True

        stmt = db.prepare('SELECT * FROM users LIMIT 10')
        stmt.execute()  # True
        row = stmt.fetch()

        while row:
            print('*', row['name'], row['age'])
            row = stmt.fetch()
    finally:
        db.close()

if __name__ == '__main__':
    main()

Asynchronous usage

Asyncronous usage is powered by awaiter.

The following example uses an asynchronous context manager, although the try - finally approach as above can still be used.

import asyncio

from sqlite3i import AsyncDatabase


async def main():
    async with AsyncDatabase('example.db') as db:
        stmt = db.prepare(
            'CREATE TABLE IF NOT EXISTS users ('
            '  id INTEGER PRIMARY KEY,'
            '  name TEXT NOT NULL,'
            '  age INTEGER NOT NULL'
            ');'
        )
        await stmt.execute(timeout=30)

        stmt = db.prepare(
            'INSERT INTO users (name, age) VALUES (?, ?)'
        )
        await stmt.execute(['Alice', 30])

        stmt = db.prepare('SELECT * FROM users LIMIT 10')
        await stmt.execute()
        row = await stmt.fetch()

        while row:
            print('*', row['name'], row['age'])
            row = await stmt.fetch()

if __name__ == '__main__':
    asyncio.run(main())

Install

python3 -m pip install --upgrade sqlite3i

License

MIT

Release files for sqlite3i 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sqlite3i 0.0.2
File Size Uploaded
sqlite3i-0.0.2.tar.gz 4.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sqlite3i 0.0.2
File Interpreter ABI Platform
sqlite3i-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 8.5 kB

Release files / sqlite3i-0.0.2.tar.gz

Download URL sqlite3i-0.0.2.tar.gz
Size 4.1 kB
Tags Source
SHA-256 checksum
How to use checksums
953a59ca7d342455d98675833e5b3bce8381b84b855b24062ac1a9cd69aec033
BLAKE2b-256 checksum
How to use checksums
9c44961d84020038cc9f1f9833e8ea9c48979f192dbc9fb3d6e66ef2419c2c4a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.9

Release files / sqlite3i-0.0.2-py3-none-any.whl

Download URL sqlite3i-0.0.2-py3-none-any.whl
Size 4.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
83500e5ffb9de8e164c3da669bbdbfcec57b56a01957f93cbcb567f95db7fac5
BLAKE2b-256 checksum
How to use checksums
95f28d38dda9312fb72f565082a99111400cb209ef42e2c3eae43b20159b9b9a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.9

Release history Release notifications | RSS feed

This release

0.0.2 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page