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How to convert to a Python datetime object with JSON.loads?

I have a string representation of a JSON object.

dumped_dict = '{"debug": false, "created_at": "2020-08-09T11:24:20"}'

When I call json.loads with this object;

json.loads(dumped_dict)

I get;

{'created_at': '2020-08-09T11:24:20', 'debug': False}

There is nothing wrong in here. However, I want to know if there is a way to convert the above object with json.loads to something like this:

{'created_at': datetime.datetime(2020, 08, 09, 11, 24, 20), 'debug': False}

Shortly, are we able to convert datetime strings to actual datetime.datetime objects while calling json.loads?

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My solution so far:

>>> json_string = '{"last_updated": {"$gte": "Thu, 1 Mar 2012 10:00:49 UTC"}}'
>>> dct = json.loads(json_string, object_hook=datetime_parser)
>>> dct
{u'last_updated': {u'$gte': datetime.datetime(2012, 3, 1, 10, 0, 49)}}


def datetime_parser(dct):
    for k, v in dct.items():
        if isinstance(v, basestring) and re.search(" UTC", v):
            try:
                dct[k] = datetime.datetime.strptime(v, DATE_FORMAT)
            except:
                pass
    return dct

For further reference on the use of object_hook: JSON encoder and decoder

In my case the json string is coming from a GET request to my REST API. This solution allows me to 'get the date right' transparently, without forcing clients and users into hardcoding prefixes like __date__ into the JSON, as long as the input string conforms to DATE_FORMAT which is:

DATE_FORMAT = '%a, %d %b %Y %H:%M:%S UTC'

The regex pattern should probably be further refined

PS: in case you are wondering, the json_string is a MongoDB/PyMongo query.


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