Skip to main content

falcon REST done with grace

Project description

Build Status Coverage Status Documentation Status

graceful

graceful is documentation centered falcon REST toolkit. It is highly inspired by Django REST framework - mostly by how object serialization is done but more emphasis here is put on API to being self-descriptive.

Features:

  • generic classes for list and single object resources

  • simple but extendable pagination

  • structured responses with content/meta separation

  • declarative fields and parameters

  • self-descriptive-everything: API description accessible both in python and through OPTIONS requests

  • painless validation

  • 100% tests coverage

  • falcon>=0.3.0

  • python3 exclusive (tested from 3.3 to 3.4)

There is no community behind graceful yet but I hope we will build one someday with your help. Anyway there is a mailing list on Librelist. Just send an email to graceful@librelist.com and you’re subscribed.

python3 only

Important: graceful is python3 exclusive because right now should be a good time to forget about python2. There are no plans for making graceful python2 compatibile although it would be pretty straightforward do do so with existing tools (like six).

usage

For extended tutorial and more information please refer to guide included in documentation.

Anyway here is simple example of working API made made with graceful:

import falcon

from graceful.serializers import BaseSerializer
from graceful.fields import IntField, RawField
from graceful.parameters import StringParam
from graceful.resources.generic import (
    RetrieveAPI,
    PaginatedListAPI,
)

api = application = falcon.API()

# lets pretend that this is our backend storage
CATS_STORAGE = [
    {"id": 0, "name": "kitty", "breed": "saimese"},
    {"id": 1, "name": "lucie", "breed": "maine coon"},
    {"id": 2, "name": "molly", "breed": "sphynx"},
]


# this is how we represent cats in our API
class CatSerializer(BaseSerializer):
    id = IntField("cat identification number", read_only=True)
    name = RawField("cat name")
    breed = RawField("official breed name")


class Cat(RetrieveAPI):
    """
    Single cat identified by its id
    """
    serializer = CatSerializer()

    def get_cat(self, cat_id):
        try:
            return [
                cat for cat in CATS_STORAGE if cat['id'] == int(cat_id)
            ][0]
        except IndexError:
            raise falcon.HTTPNotFound


    def retrieve(self, params, meta, **kwargs):
        cat_id = kwargs['cat_id']
        return self.get_cat(cat_id)

class CatList(PaginatedListAPI):
    """
    List of all cats in our API
    """
    serializer = CatSerializer()

    breed = StringParam("set this param to filter cats by breed")

    def list(self, params, meta, **kwargs):
        if 'breed' in params:
            filtered = [
                cat for cat in CATS_STORAGE
                if cat['breed'] == params['breed']
            ]
            return filtered
        else:
            return CATS_STORAGE

api.add_route("/v1/cats/{cat_id}", Cat())
api.add_route("/v1/cats/", CatList())

Assume this code is in python module named example.py. Now run it with gunicorn:

gunicorn -b localhost:8888 example

And you’re ready to query it (here with awesome hhtpie tool):

$ http localhost:8888/v0/cats/?breed=saimese
HTTP/1.1 200 OK
Connection: close
Date: Tue, 16 Jun 2015 08:43:05 GMT
Server: gunicorn/19.3.0
content-length: 116
content-type: application/json

{
    "content": [
        {
            "breed": "saimese",
            "id": 0,
            "name": "kitty"
        }
    ],
    "meta": {
        "params": {
            "breed": "saimese",
            "indent": 0
        }
    }
}

Or access API description issuing OPTIONS request:

$ http OPTIONS localhost:8888/v0/cats
HTTP/1.1 200 OK
Connection: close
Date: Tue, 16 Jun 2015 08:40:00 GMT
Server: gunicorn/19.3.0
content-length: 740
content-type: application/json

{
    "details": "List of all cats in our API",
    "fields": {
        "breed": {
            "details": "official breed name",
            "label": null,
            "spec": null,
            "type": "string"
        },
        "id": {
            "details": "cat identification number",
            "label": null,
            "spec": null,
            "type": "int"
        },
        "name": {
            "details": "cat name",
            "label": null,
            "spec": null,
            "type": "string"
        }
    },
    "methods": [
        "GET",
        "OPTIONS"
    ],
    "name": "CatList",
    "params": {
        "breed": {
            "default": null,
            "details": "set this param to filter cats by breed",
            "label": null,
            "required": false,
            "spec": null,
            "type": "string"
        },
        "indent": {
            "default": "0",
            "details": "JSON output indentation. Set to 0 if output should not be formated.",
            "label": null,
            "required": false,
            "spec": null,
            "type": "integer"
        }
    },
    "path": "/v0/cats",
    "type": "list"
}

contributing

Any contribution is welcome. Issues, suggestions, pull requests - whatever. There is only short set of rules that guide this project development you should be aware of before submitting a pull request:

  • only requests that have passing CI builds (Travis) will be merged

  • code is checked with flakes8 during build so this implicitely means that PEP-8 is a must

  • no changes that decrease coverage will be merged

One thing: if you submit a PR please do not rebase it later unless you are asked for that explicitely. Reviewing pull requests that suddenly had their history rewritten just drives me crazy.

license

See LICENSE file

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

graceful-0.1.2.tar.gz (20.8 kB view details)

Uploaded Source

Built Distribution

graceful-0.1.2-py2.py3-none-any.whl (55.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file graceful-0.1.2.tar.gz.

File metadata

  • Download URL: graceful-0.1.2.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for graceful-0.1.2.tar.gz
Algorithm Hash digest
SHA256 2843c8f0d330fbfe8302bb5fd0ce5da6f226645f257450361e9d08f9c93fe94b
MD5 564cc990a094d3067c01ee009eaff53c
BLAKE2b-256 16ee61b63229778d976c0ee5d81ae8dab1b92d5847628518a9c32ce08ef98d4d

See more details on using hashes here.

File details

Details for the file graceful-0.1.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for graceful-0.1.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 824c4231d1b2ab675c639e37591b25f7908fd139f9aac029972ddfa7e48c1c7e
MD5 7aa0f3f01ee129fdf43d906d55439208
BLAKE2b-256 cad0e48265720ce5dbdd653d514dbb76ab57975c1c90ebe07afd6b43e4fb305f

See more details on using hashes here.

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