Marshmallow: Simplifying Python object serialization

Reprint: http://www.thinksaas.cn/topics/0/594/594368.html

Marshmallow-a lightweight library for turning complex objects into simple Python data types. Or from a simple Python data type into a complex object.

From datetime import datefrom Marshmallow Import schema, fields, Pprintclass Artistschema (Schema):    name = fields. STR () class Albumschema (Schema):    title = fields. STR ()    release_date = fields. Date ()    artist = fields. Nested (artistschema) Bowie = dict (name= ' David Bowie ') album = Dict (Artist=bowie, title= ' hunky Dory ', release_date=date (  1971, () schema = Albumschema () result = Schema.dump (album) Pprint (Result.data, indent=2) # {' Artist ': {' name ': ' David Bowie '},#   ' release_date ': ' 1971-12-17 ', #   ' title ': ' Hunky Dory '}

In short, marshmallow schemas can is used to:

• Validate input data.
• Deserialize input data to app-level objects.
• Serialize App-level objects to primitive Python types. The serialized objects can then is rendered to standard formats such as JSON for use in an HTTP API.

Get It Now

$ pip install-u Marshmallow

Documentation

Full documentation are available at http://marshmallow.readthedocs.org/.

Requirements

• Python >= 2.6 or >= 3.3

Marshmallow have no external dependencies outside of the Python standard library, although Python-dateutil is recommended F or robust datetime deserialization.

Ecosystem

A List of marshmallow-related libraries can be found on the GitHub wiki here:

Https://github.com/marshmallow-code/marshmallow/wiki/Ecosystem

Project Links

• docs:http://marshmallow.readthedocs.org/
• Changelog:http://marshmallow.readthedocs.org/en/latest/changelog.html
• Pypi:https://pypi.python.org/pypi/marshmallow
• Issues:https://github.com/marshmallow-code/marshmallow/issues

License

MIT licensed. See the bundled LICENSE file for more details.

Project Address: Https://github.com/marshmallow-code/marshmallow

Marshmallow: Simplifying Python object serialization