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https://github.com/almarklein/itemdb
Easy transactional database for Python dicts, backed by SQLite
https://github.com/almarklein/itemdb
async database no-sql sqlite
Last synced: about 1 month ago
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Easy transactional database for Python dicts, backed by SQLite
- Host: GitHub
- URL: https://github.com/almarklein/itemdb
- Owner: almarklein
- License: mit
- Created: 2020-06-07T08:51:31.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-04-18T14:28:55.000Z (8 months ago)
- Last Synced: 2024-11-06T19:51:11.512Z (about 2 months ago)
- Topics: async, database, no-sql, sqlite
- Language: Python
- Homepage: https://itemdb.readthedocs.io
- Size: 112 KB
- Stars: 18
- Watchers: 4
- Forks: 2
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[![PyPI Version](https://img.shields.io/pypi/v/itemdb.svg)](https://pypi.python.org/pypi/itemdb/)
[![CI](https://github.com/almarklein/itemdb/workflows/CI/badge.svg)](https://github.com/almarklein/itemdb/actions)
[![Documentation Status](https://readthedocs.org/projects/itemdb/badge/?version=latest)](https://itemdb.readthedocs.io/en/latest/?badge=latest)# itemdb
The itemdb library allows you to store and retrieve Python dicts in a
database on the local filesystem, in an easy, fast, and reliable way.Based on the rock-solid and ACID compliant SQLite, but with easy and
explicit transactions using a ``with`` statement. It provides a simple
object-based API, with the flexibility to store (JSON-compatible) items
with arbitrary fields, and add indices when needed.This lib was originally part of the [TimeTurtle time tracker](https://timeturtle.app)
and is also used in [MyPaaS](https://github.com/almarklein/mypaas).## Installation
```
pip install itemdb
```## Quick usage example
```py
import itemdb# Open the database and make sure there is a table with appopriate indices
db = itemdb.ItemDB(":memory:")
db.ensure_table("persons", "!name", "age")# Add some items to the db
with db:
db.put_one("persons", name="Jane", age=22)
db.put_one("persons", name="John", age=18, fav_number=7)
db.put("persons", {"name": "Guido"}, {"name": "Anne", "age": 42})# Update an item
with db:
db.put_one("persons", name="John", age=19, fav_number=8)# Query items
db.count_all("persons") # -> 4
db.select("persons", "age > ?", 20) # -> list of 2 items
```See the [guide](https://itemdb.readthedocs.io/en/latest/guide.html) for details.
## Async
The `AsyncItemDB` class provides the same API, but async:
```py
import itemdbdb = await itemdb.AsyncItemDB(":memory:")
await db.ensure_table("persons", "!name", "age")async with db:
await db.put_one("persons", name="Jane", age=22)...
```Alternatively, a decorator is provided to turn a normal function into an async one
(running in a separate thread).```py
@asycify
def your_db_interaction_logic(...):
db = ItemDB(filename)
...async def your_async_code(...):
await your_db_interaction_logic(...)
```## License
MIT
## Developers
* Run `black .` to autoformat.
* Run `flake8 . --max-line-length=99` to lint.
* Run `pytest .` to run unit tests.