Skip to main content

A data contracts system for python loosly modeled after django forms.

Project description

A declarative data contract container type for Python

Pycontracts is currently an internal alpha and not ready for production use.

Python data contracts (pycontracts in PyPi) is a library for exchanging data between systems. It is loosely based on the django forms api to help ease adoption. A simple example:

from pycontract import DataContract, StringField, NumberField

class Person(DataContract):
    name = StringField()
    phone = StringField(null=True)
    age = NumberField(null=True)

bob = Person()
bob["name"] = "Bob Smith"
bob["phone"] = "999-555-1234"
bob["age"] = 32

In this example the contract for person is declared and the record for bob is instantiated. In addition to the basic data we can add processors which manipulate or clean the data as well as validators which validate the data similar to django validators.

Features

  • Customizable validation (compatible with django validators).

  • Data processors to clean up and format data.

  • Declarative field definitions.

  • Enforced value assignment helps avoid regression errors.

  • Licensed under the MIT License.

Basic Usage

The first step is define a basic contract. This is done by inheriting from pycontract.DataContract. Next we decide if there is standard processing that is needed for each field. For example we could use the strip_white_space processor to call pythons strip on each value. Finally we decide if there is any extra validation that is needed on the values. For example to ensure that the persons name starts with an “a” we could use the RegexValidator. So with this information we would declare this DataContract like this:

from pycontract import DataContract, StringField, NumberField, strip_white_space, RegexValidator

class Person(DataContract):
    name = StringField(processors=(strip_white_space,), validators=(RegexValidator(r"[aA].+"),))
    phone = StringField(null=True)
    age = NumberField(null=True)

Now at runtime we can set the values, check for a valid contract and finally access the values. That would like something like this:

>>> manny = Person()
>>> manny["name"] = "Angel Man "
>>> manny["phone"] = "999555-1234"
>>> manny["age"] = 22
>>> manny.is_valid()
True
>>> print manny.name
'Angel Man'

This is early release and the code base is very short, so for more information see the code. The source code can be found at github.

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

pycontract-0.1.4.tar.gz (8.6 kB view details)

Uploaded Source

File details

Details for the file pycontract-0.1.4.tar.gz.

File metadata

  • Download URL: pycontract-0.1.4.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pycontract-0.1.4.tar.gz
Algorithm Hash digest
SHA256 f08aa2cb2b3cf484c1d5c0e7dd5226d5a7beae9054c99822ecb977fa0c1a4de5
MD5 c1bb2766a1458f25eb87e425c75d1889
BLAKE2b-256 592b27662e049928cbf246ac1898c6af5f1f45315a3c8e04807b2360fb450e25

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