Daniel Ward added the comment: 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 ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue27362> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com