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https://github.com/andrewthetechie/pydantic-aioredis
A Declarative ORM for Redis using Pydantic Models and aioredis
https://github.com/andrewthetechie/pydantic-aioredis
aioredis asyncio hacktoberfest pydantic python3
Last synced: 3 months ago
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A Declarative ORM for Redis using Pydantic Models and aioredis
- Host: GitHub
- URL: https://github.com/andrewthetechie/pydantic-aioredis
- Owner: andrewthetechie
- License: other
- Fork: true (sopherapps/pydantic-redis)
- Created: 2021-08-06T19:12:00.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-05-27T19:29:02.000Z (7 months ago)
- Last Synced: 2024-05-28T05:03:07.402Z (7 months ago)
- Topics: aioredis, asyncio, hacktoberfest, pydantic, python3
- Language: Python
- Homepage:
- Size: 1.99 MB
- Stars: 52
- Watchers: 2
- Forks: 4
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.rst
Awesome Lists containing this project
- awesome-pydantic - pydantic-aioredis - A simple Declarative ORM for Redis using Pydantic Models and aioredis (Object Mapping)
- awesome-pydantic - pydantic-aioredis - A simple Declarative ORM for Redis using Pydantic Models and aioredis (Object Mapping)
README
# pydantic-aioredis
Pydantic-aioredis is designed to provide an efficient way of integrating Redis databases with Python-based applications. Built on top of [Pydantic](https://docs.pydantic.dev/), pydantic-aioredis allows you to define data models and validate input data before it is stored in Redis. Data is validated before storing and after retrieval from Redis. The library also provides an easy-to-use API for querying, updating, and deleting data stored in Redis.
Inspired by
[pydantic-redis](https://github.com/sopherapps/pydantic-redis) by
[Martin Ahindura](https://github.com/Tinitto)## Main Dependencies
- [Python +3.7](https://www.python.org)
- [redis-py <4.2.0](https://github.com/redis/redis-py)
- [pydantic](https://github.com/samuelcolvin/pydantic/)## Getting Started
### Examples
Examples are in the [examples/](./examples) directory of this repo.
### Installation
Install the package
pip install pydantic-aioredis
### Quick Usage
Import the `Store`, the `RedisConfig` and the `Model` classes and use accordingly
```python
import asyncio
from datetime import date
from pydantic_aioredis import RedisConfig, Model, Store# Create models as you would create pydantic models i.e. using typings
class Book(Model):
_primary_key_field: str = 'title'
title: str
author: str
published_on: date
in_stock: bool = True# Do note that there is no concept of relationships here
class Library(Model):
# the _primary_key_field is mandatory
_primary_key_field: str = 'name'
name: str
address: str# Create the store and register your models
store = Store(name='some_name', redis_config=RedisConfig(db=5, host='localhost', port=6379), life_span_in_seconds=3600)
store.register_model(Book)
store.register_model(Library)# Sample books. You can create as many as you wish anywhere in the code
books = [
Book(title="Oliver Twist", author='Charles Dickens', published_on=date(year=1215, month=4, day=4),
in_stock=False),
Book(title="Great Expectations", author='Charles Dickens', published_on=date(year=1220, month=4, day=4)),
Book(title="Jane Eyre", author='Charles Dickens', published_on=date(year=1225, month=6, day=4), in_stock=False),
Book(title="Wuthering Heights", author='Jane Austen', published_on=date(year=1600, month=4, day=4)),
]
# Some library objects
libraries = [
Library(name="The Grand Library", address="Kinogozi, Hoima, Uganda"),
Library(name="Christian Library", address="Buhimba, Hoima, Uganda")
]async def work_with_orm():
# Insert them into redis
await Book.insert(books)
await Library.insert(libraries)# Select all books to view them. A list of Model instances will be returned
all_books = await Book.select()
print(all_books) # Will print [Book(title="Oliver Twist", author="Charles Dickens", published_on=date(year=1215, month=4, day=4), in_stock=False), Book(...]# Or select some of the books
some_books = await Book.select(ids=["Oliver Twist", "Jane Eyre"])
print(some_books) # Will return only those two books# Or select some of the columns. THIS RETURNS DICTIONARIES not MODEL Instances
# The Dictionaries have values in string form so you might need to do some extra work
books_with_few_fields = await Book.select(columns=["author", "in_stock"])
print(books_with_few_fields) # Will print [{"author": "'Charles Dickens", "in_stock": "True"},...]this_book = Book(title="Moby Dick", author='Herman Melvill', published_on=date(year=1851, month=10, day=17))
await Book.insert(this_book)
# oops, there was a typo. Fix it
# Update is an async context manager and will update redis with all changes in one operations
async with this_book.update():
this_book.author = "Herman Melville"
this_book.published_on=date(year=1851, month=10, day=18)
this_book_from_redis = await Book.select(ids=["Moby Dick"])
assert this_book_from_redis[0].author == "Herman Melville"
assert this_book_from_redis[0].published_on == date(year=1851, month=10, day=18)# Delete any number of items
await Library.delete(ids=["The Grand Library"])# Now run these updates
loop = asyncio.get_event_loop()
loop.run_until_complete(work_with_orm())
```### Custom Fields in Model
| Field Name | Required | Default | Description |
| ------------------- | -------- | ------------ | -------------------------------------------------------------------- |
| \_primary_key_field | Yes | None | The field of your model that is the primary key |
| \_redis_prefix | No | None | If set, will be added to the beginning of the keys we store in redis |
| \_redis_separator | No | : | Defaults to :, used to separate prefix, table_name, and primary_key |
| \_table_name | No | cls.**name** | Defaults to the model's name, can set a custom name in redis |
| \_auto_save | No | False | Defaults to false. If true, will save to redis on instantiation |
| \_auto_sync | No | False | Defaults to false. If true, will save to redis on attr update |## License
Licensed under the [MIT License](./LICENSE)
## Contributing
Contributions are very welcome.
To learn more, see the [Contributor Guide](./CONTRIBUTING.rst)### Contributors
Thanks go to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
Andrew
💻 📖
Martin Ahindura
💻 🤔
david-wahlstedt
⚠️ 📖 👀
Daniel Wallace
⚠️
Paco Nathan
💡
Andreas Brodersen
📖
kraczak
📖
CharlieJiangXXX
💻