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marshmallow -一個輕量級的庫用於將復雜對象轉成簡單的Python數據類型。或從簡單的Python數據類型轉成復雜對象。

from datetime import date
from marshmallow import Schema, fields, pprint

class 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, 12, 17))

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 be 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 be rendered to standard formats such as JSON for use in an HTTP API.

Get It Now

$ pip install -U marshmallow

Documentation

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

Requirements

• Python >= 2.6 or >= 3.3

marshmallow has no external dependencies outside of the Python standard library, although python-dateutil is recommended for robust datetime deserialization.

Ecosystem

A list of marshmallow-related libraries can be found at 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.

項目地址： https://github.com/marshmallow-code/marshmallow

marshmallow: 簡化Python對象系列化