Message268995
Sure, so for example:
=========
import json
class ObjectCounter:
def __init__(self, name, count):
self.name = name
self.count = count
def __json__(self):
return '[{name}] {count}'.format(name=self.name, count=self.count)
object_counter = ObjectCounter('DC1', 3789)
my_json_string = json.dumps({'success': True, 'counter': object_counter})
============
In the above example, the value stored in my_json_string would be:
'{"success": true, "counter": "[DC1] 3789"}'
This is an untested and quick example, but I hope it explains what I'm aiming to achieve. Without the __json__ method, the json.dumps call would raise an exception along the lines of the below message, unless we create a new JSONEncoder object and call json.dumps(..., cls=MyJSONEncoder), which becomes difficult to manage and follow on larger projects.
TypeError: <ObjectCounter instance at XXX> is not JSON serializable |
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Date |
User |
Action |
Args |
2016-06-21 13:32:49 | Daniel Ward | set | recipients:
+ Daniel Ward, abarry |
2016-06-21 13:32:49 | Daniel Ward | set | messageid: <1466515969.96.0.483864181864.issue27362@psf.upfronthosting.co.za> |
2016-06-21 13:32:49 | Daniel Ward | link | issue27362 messages |
2016-06-21 13:32:49 | Daniel Ward | create | |
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