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marshmallow -一个轻量级的库用于将复杂对象转成简单的Python数据类型。或从简单的Python数据类型转成复杂对象。
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 athttp://marshmallow.readthedocs.org/ .
Requirements
- Python >= 2.6 or >= 3.3
marshmallow has no external dependencies outside of the Python standard library, althoughpython-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 bundledLICENSE file for more details.
项目地址: https://github.com/marshmallow-code/marshmallow
时间: 2024-11-03 09:58:19