Skip to main content

Easy webapps with falcon & mongodb

Project description

=======
Plume
=======


.. image:: https://img.shields.io/pypi/v/plume.svg
:target: https://pypi.python.org/pypi/plume

.. image:: https://img.shields.io/travis/JamesRamm/plume.svg
:target: https://travis-ci.org/JamesRamm/plume

.. image:: https://readthedocs.org/projects/plume/badge/?version=latest
:target: https://plume.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status

.. image:: https://landscape.io/github/JamesRamm/plume/master/landscape.svg?style=flat
:target: https://landscape.io/github/JamesRamm/plume/master
:alt: Code Health

.. image:: https://pyup.io/repos/github/JamesRamm/plume/shield.svg
:target: https://pyup.io/repos/github/JamesRamm/plume/
:alt: Updates


A library to help you make Falcon web apps backed by MongoDB.

Features
---------------

- Simple interface to MongoDB using ``marshmallow`` schemas. This allows a single document
definition which also provides serialization and validation

- Standard ``Resource`` classes for creating a full CRUD JSON API for REST collections and items.

- Easy filtering/projection of documents per request

- The ``FileCollection`` and ``FileItem`` resources provide file upload functionality. They can be configured
to use plumes' basic ``FileStore`` or your own storage backend (e.g. GridFS)

- Useful extra fields for marshmallow (``Choice``, ``Slug``, ``MongoId``, ``Password``...)


Example
--------

The following example creates a basic JSON API for a representation of a user.

.. code-block:: python

from datetime import datetime
from plume import create_app, schema, Collection, Item
from plume.connection import connect
from plume.fields import Slug
from marshmallow import fields, Schema

class UserSchema(schema.MongoSchema):
name = fields.Str(required=True)
email = fields.Email(required=True)
created = fields.DateTime(
missing=lambda: datetime.utcnow().isoformat(),
default=lambda: datetime.utcnow().isoformat()
)
profile = fields.Nested("ProfileSchema")
slug = Slug(populate_from='name')

class ProfileSchema(Schema):
"""Example of nesting a schema.
In mongodb, this will be a nested document
"""
biography = fields.Str()
profile_image = fields.Url(load_from='profileImage', dump_to='profileImage')


def get_app(database_name='myapp')
"""Creates the falcon app.
We pass the database name so we can use a different db for testing
"""
# Connect to the database *before* making schema instance.
# The ``connect`` function takes the same arguments as pymongo's
# ``MongoClient``. Here we connect to localhost.
connect(database_name)
user = UserSchema()
resources = (Collection(user, '/users'), Item(user, '/users/{email}'))
return create_app(resources)

Name this file ``app.py`` and run it with gunicorn:

gunicorn 'app:get_app()'

Design
----------

Plume intends to be a light and transparent library. It should compliment and enhance
Falcon & MongoDB usage but not get in the way of custom development.
To this end I have a small number of rules:

- No magic. Like falcon itself, it should be easy to follow inputs to outputs. To this end we have
a few soft rules such as:
- Avoid mixins. Mixins introduce implicit dependencies and make it harder to reason about code.
- Don't mess with metaclasses and double underscore methods without good reason.
There is often an easier, clearer way to achieve the same result.

- No reinvention. We try to use well proven existing solutions before rolling our own. Hence the use
of ``marshmallow`` for the ORM/serialization framework.

- No hijacking. Plume is complimentary or an 'add-on' to Falcon. It does not replace direct usage of Falcon (what
you might expect from a framework). It solves some common use cases and provides some useful tools. When you want to
do something unsupported and go direct to falcon, it doesnt get in your way.






=======
History
=======

0.1.0 (2017-09-25)
------------------

* First release on PyPI.

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

plume-0.1.0.tar.gz (33.3 kB view details)

Uploaded Source

Built Distribution

plume-0.1.0-py2.py3-none-any.whl (15.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file plume-0.1.0.tar.gz.

File metadata

  • Download URL: plume-0.1.0.tar.gz
  • Upload date:
  • Size: 33.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for plume-0.1.0.tar.gz
Algorithm Hash digest
SHA256 6516c6aa9062f950e0ed654fad89914c3d1cb73e755b3d68f22e6c872197158b
MD5 c6d0797b85f0d2a1d343f8b97bb3fd44
BLAKE2b-256 4b121e4fc3ba1574a4c0615564d71f9a4983ebea761d580ffc096f286a846f27

See more details on using hashes here.

File details

Details for the file plume-0.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for plume-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3e2514fa46fd36aa5169a8e3c4cb3ebf06990068e70e49670170926ecf377484
MD5 a037ab34d2915a69459e37f32b46bdad
BLAKE2b-256 d1c9efa9d6db07c96f18c0937f32f8ef620698b6366242585e66c3c418258e85

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