Skip to main content

Create resource oriented architectures for RESTful client and server applications.

Project description

python-docar gives an declarative syntax for defining messages passed between client and server applications. By moving the focus of web applications to the documents exchanged it gives you the possibility to implement document oriented architectures. In this way you can map documents (messages) to resources identified by URI’s. The target applications are web apps that implement a RESTful interface.

On the server side those documents can be mapped to an underlying model store. At this time the django-orm mapper is supported. But python-docar is not really reduced to django. Other model mappers like sqlalchemy-orm or a mongodb mapper are possible.

The same document definitions can be reused on the client side. In the future it will come with a http client that can craft messages and send them right away to the server applications.

In the future those declarations should be able to enforce validation on those documents. That means, that on the client you can validate the message prior to sending the HTTP request and on the server prior to saving the resource to the data store.

At the moment the only messaging format supported is a very simple JSON format. It is planned to provide more dialects (like xml) or the possibility to override the builtin serializers.

python-docar is heavily influenced by roar.

Example

The following code is a simplified example of how to use python-docar. We start using the django backend:

# First declare your document
from webapp.models import EntryModel, AuthorModel
from docar import Document, Collection, fields

class Author(Document):
    name = fields.StringField()

    class Meta:
        backend_type = 'django'
        model = AuthorModel
        identifier = 'name'

class BlogEntry(Document):
    id = fields.NumberField()
    title = fields.StringField()
    body = fields.StringField()
    published = fields.BooleanField(default=False)
    author = fields.ForeignDocument(Author)

    class Meta:
        backend_type = 'django'
        model = EntryModel
        model_type = 'django'  # The default atm
        #identifier = 'id'  # The identifier defaults to 'id'

# You can also declare collections of documents
class Blog(Collection):
    document = BlogEntry

You can use those documents in the views of your app:

from webapp.documents import Author, BlogEntry, Blog

entry = BlogEntry({'id': 1})

# Bind the document to a model
entry.fetch()

I can also change attributes of the document and save it back to the model:

entry.title = "Hello World"
entry.save()  # --> saves to the django model backend

The to_json method renders the document into a json message. It adds a few goodies to be a better REST player, like the link to itself. It could look like that:

# render the document as a json string
entry.to_json()

{
    "id": 1,
    "title": "Hello World",
    "body": "Long Text",
    "published": True,
    "author": {
        "rel": "related",
        "href": "https://example.org/author/crito/"
        },
    "link": {
        "rel": "self",
        "href": "https://example.org/entry/1/"
        }
}

There is another backend in development, that connects documents to a remote HTTP endpoint. The API is the same, only the underlying backend type differs. This can be used for client applications to connect to remote services using the same document declarations.

Installation

Clone yourself the latest source from github. Development happens fast, so its good to always go with the latest commit:

$ git clone git://github.com/30loops/python-docar.git
$ cd python-docar
$ sudo python setup.py install

Development

This module comes along with a thorough test suite. Run it the following way:

$ cd python-docar
$ python setup.py nosetests

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

docar-0.5.tar.gz (182.1 kB view details)

Uploaded Source

File details

Details for the file docar-0.5.tar.gz.

File metadata

  • Download URL: docar-0.5.tar.gz
  • Upload date:
  • Size: 182.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for docar-0.5.tar.gz
Algorithm Hash digest
SHA256 9451f724470534523d665de968977dc1db1a90a0da97b2e35c351dac00a8c7cf
MD5 6dae21279cdab448a49ea2cba17ce686
BLAKE2b-256 9c45c4084344a8220d7469e628b30765b8e671be3db1730763d0d2f8f1474194

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