Bulletproof json.dump?

J. Pic jpic at yourlabs.org
Mon Jul 6 10:45:39 EDT 2020


You can achieve round-tripping by maintaining a type mapping in code, for a
single datatype it would look like:

newloads(datetime, newdumps(datetime.now())

If those would rely on __dump__ and __load__ functions in the fashion of
pickle then nested data structures would also be easy:

@dataclass
class YourStruct:
    dt = datetime
    children = []

    @classmethod
    def __load__(cls, data):
        return cls(
            dt=datetime.fromisoformat(data['dt']),
            children=[cls.__load__(c) for c in data['children']])
        )

    def __dump__(self):
        return dict(
            dt=self.dt.isoformat(),
            children=[c.__dump__() for c in self.children],
        )

If your datetime is not being loaded from C-code you can even monkey patch
it and add __load__ and __dump__ on it and data round-trip as long as you
keep the type mapping in a method.


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