Skip to main content

json.dumps with datetime, date and bson.ObjectId support

Project description

json.dumps with datetime, date and bson.ObjectId support

>>> from datetime import datetime, date, timedelta, timezone
>>> from decimal import Decimal
>>> from bson import ObjectId
>>> import asjson
>>> data = {
...     'time': [
...         date(2018, 3, 6),
...         datetime(2018, 3, 6, 9, 38, 0, 1),
...         datetime(2018, 3, 6, 9, 38, 0, 1).replace(
...             tzinfo=timezone.utc),
...     ],
...     'decimal': Decimal('3.14'),
...     'objectid': ObjectId('a' * 24),
... }

We can make all the values json-appropriate without dumping the structure to string. It can be helpful in some cases, e.g. with passing it into database json field.

>>> asjson.encode(data)
{'time': ['2018-03-06',
         '2018-03-06T09:38:00.000001',
         '2018-03-06T09:38:00.000001+00:00'],
     'decimal': '3.14',
     'objectid': 'aaaaaaaaaaaaaaaaaaaaaaaa'}

For dumping to string we can use asjson.dumps which takes the same parameters as standard json.dumps does plus debug which just a shortcut for json.dumps(…, indent=4, sort_keys=True, ensure_askii=False):

>>> print(asjson.dumps(data, debug=True))
{
    "decimal": "3.14",
    "objectid": "aaaaaaaaaaaaaaaaaaaaaaaa",
    "time": [
        "2018-03-06",
        "2018-03-06T09:38:00.000001",
        "2018-03-06T09:38:00.000001+00:00"
    ]
}

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

asjson-3.0.0.tar.gz (2.2 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page