py-easy-rest 0.4.4

The simplest way to have a rest api

py-easy-rest

It is a lib to create fast and scalable rest apis based on JSON schema in a very simple way. It is based on Sanic and it has built in extensions to add repositories and caches.

Getting Started

How to install

pip install py-easy-rest

Coding your app

It will use by default an in memory repository. It is not recommended to production applications. The next sections of this documentation will show you ways to integrate your application with Mongo DB and ways to use cache strategies. You can also create your own repositories and cache strategies to integrate your app with other technologies.

PYRSanicAppBuilder.build returns a Sanic App, so you can use it to extend and build new things in your app.

#main.py

from py_easy_rest import PYRSanicAppBuilder
from py_easy_rest.service import PYRService


config = {
    "name": "Project Name",
    "schemas": [{
        "name": "Mock",
        "slug": "mock",
        "properties": {
            "name": {"type": "string"},
            "age": {"type": "integer"},
        },
        "required": ["name"],
    }]
}

service = PYRService(api_config_mock)
sanic_app = PYRSanicAppBuilder.build(api_config_mock, service)

sanic_app.run(
    host='0.0.0.0',
    port=8000,
    debug=True,
)

Running it

python main.py

Now you can access http://localhost:8000/docs to access your api documentation.

Integrating with Repositories

It is possible to add a repository to your application persist data into some data base. By default it will use a in memory repository, witch is not recommended to production environment.

To create your own repository, you just need to follow the Repo signature and pass it to the App:

service = PYRService(api_config_mock, repo=MyOwnRepo())

Repos ready to use

• Mongo with Motor client

Integrating with Cache Strategies

It is possible to add a cache to your application. By default it will not use a cache, but you can choice a built in option or create your own cache.

To create your own cache, you just need to follow the Cache signature and pass it to the App:

service = PYRService(api_config_mock, cache=MyOwnCache())

Caches ready to use

• Redis
• Memory

API Description

py_easy_rest.PYRSanicAppBuilder.build()

Properties	Required	Default	Description
api_config	True	None	Object with project and schemas config
service	True	PYRService()	Service use to handle the operations

py_easy_rest.services.PYRService()

Properties	Required	Default	Description
api_config	True	None	Object with project and schemas config
repo	False	PYRMemoryRepo()	Repository used as data resource
cache	False	PYRDummyCache()	Cache strategy
cache_list_seconds_ttl	False	10	TTL to cache the list results in seconds
cache_get_seconds_ttl	False	60 * 30	TTL to cache the get results