Skip to main content

The simple, quick and easy generative web framework for python

Project description

Pow logo

Pow logo

The quick and easy generative Webframework for python3. Ready to go!

Based on the ruby on rails principles. Generators for models/controllers/views/migrations…, convention over configuration, and PoW gets out of the way if you want it.

Hello World

@app.make_routes()
class HelloHandler(BaseHandler):
    @route(r'/hello', dispatch=["get"])
    def hello(self):
        self.write("Hello world!")

Installation:

pip install -U pythononwheels

Everything you need on board. Batteries included.

PythonOnWheels is a generative, Rapid Application Development, non intrusive web framework for python. You need no extra tools to start. Everything from DB to Webserver and template engine is included. But you are not forced to use them and can go raw or easily include the modules and tools of your choice tools whenever you want.

Based on a very Strong foundation:

Probably the most simple SQL relations out there!

Based on sqlalchemy. With PythonOnWheels you simply add a class decorator like

@relation.has_many("comments")
class Post(Base):
    # All your Post model code below here ..
    .....

to your SQL Post-model and every Post can have comments. It will be automatically mapped to the DB (SQLite, Postgres, MySQL, MariaDb, Oracle, MSSQL …) and to all related comment Models. DB Migrations are created automatically in the background.

supported relation types are:

  • has_many(“comments”)(decorated class has many comments.)

  • many_to_many(“comments”)(decorated class has many to many with comments)

  • belongs_to(“comments”)(decorated class belongs to comments.)

  • one_to_one(“comments”)(decorated class has one to one with comments)

  • tree() (decorated class has adjacence list (is a tree)

All pow models (SQL or NoSQL) use a cerberus schema as definition.

This means you have validation on board for every model and you can easily switch from SQL to NoSQL

  • the @relation.setup_schema() decorator will map this schema to a vaild sqlalchemy (or specific NoSQL) column definition set.

  • SQL only: model will also automatically get all the right Foreign_Keys and python attributes to create a has_many relationship to the comments model. This is all done for you with the @relation.has_many(“comments”) @relation.has_many(“comments”) @relation.setup_schema()

class Post(Base):
#
# Schema definition with the new (cerberus) schema style
# which offer you immediate validation
#
schema = {
    # string sqltypes can be TEXT or UNICODE or nothing
    'author': {'type': 'string', 'maxlength' : 35 },
    'title' : {'type': 'string', "required" : True },
    'text'  : {'type': 'string' },
    'votes' : {'type': 'integer' },
    'status': {'type': 'string', "allowed" : ["backlog", "wip", "done"] },
}

# init
def __init__(self, **kwargs):
    self.init_on_load(**kwargs)

# your methods down here

Probably the most simple RESTrouting out there! One decorator. Done!

With PythonOnWheels you simply add a class decorator like

@app.add_rest_routes("basename")

to your handler and you get all the typical REST routes mapped to the according CRUD methods of your handler class.

By the way: this is what generate_handler generates for you when you use the –rest parameter:

@app.add_rest_routes("rest_test")
class RestTest(BaseHandler):
    #
    # every pow handler automatically gets these RESTful routes
    # when you add the : app.add_rest_routes() decorator.
    #
    # 1  GET    /resttest                           #=> list
    # 2  GET    /resttest/<uuid:identifier>         #=> show
    # 3  GET    /resttest/new                       #=> new
    # 4  GET    /resttest/<uuid:identifier>/edit    #=> edit
    # 5  GET    /resttest/page/<uuid:identifier>    #=> page
    # 6  GET    /resttest/search                    #=> search
    # 7  PUT    /resttest/<uuid:identifier>         #=> update
    # 8  PUT    /resttest                           #=> update (You have to send the id as json payload)
    # 9  POST   /resttest                           #=> create
    # 10 DELETE /resttest/<uuid:identifier>         #=> destroy
    # ...

Routing: RegEx and Flask like routes included .

You can set routes by simply adding a class decorator to the handler class or decorate methods directly. ~~ @route(“/”, dispatch=[“get”]) ~~

PythonOnWheels will then call the index method of your handler if the route and the HTTP method matches.

Example for Flask like routing:

@app.make_method_routes()
class HelloHandler(BaseHandler):
    @route(r'/hello/<int:identifier>', dispatch=["get"])
    def hello(self, identifier=None):
        self.write("Hello world! " + str(identifier))

For Regex routes:

@app.add_route("/test/([0-9]+)*", dispatch={"get" : "test"})

to add a direct route: matching the regular expression : /test/([0-9+]) and then calling the given method of your handler class. The regex group ([0-9+]) will be handed as the first parameter to test(self, index)

Model Validation on board with cerberus schemas.

All Model Schemas are Cerberus schemas automatically. So thats easy. ~~ model.validate() => executes cerberus validator ~~

And finally: a super easy workflow. Quick to start, all the basics on board and easy to expand: generative approach (but not noisy)

  • generate_app script

  • generate_models script (You probably want to store some data)

  • Optionally generate_migrations script (only needed for SQL DBs)

  • generate_handlers (aka controllers to define your logic and API)

  • start the server (python server.py) done

The vision:

If you want start to develop your web-application and focus on the App, instead of the frameworks, you are in the right place. PythonOnWheels feels right if you do not recognize that you use it.

Enjoy!

See getting started or go to the documentation

For more check: The PythonOnWheels Homepage

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pythononwheels-0.925.2.tar.gz (4.6 MB view hashes)

Uploaded Source

Built Distribution

pythononwheels-0.925.2-py3-none-any.whl (4.7 MB view hashes)

Uploaded Python 3

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