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convert python object recursively to dict
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def todict(obj, classkey=None): | |
if isinstance(obj, dict): | |
data = {} | |
for (k, v) in obj.items(): | |
data[k] = todict(v, classkey) | |
return data | |
elif hasattr(obj, "_ast"): | |
return todict(obj._ast()) | |
elif hasattr(obj, "__iter__"): | |
return [todict(v, classkey) for v in obj] | |
elif hasattr(obj, "__dict__"): | |
data = dict([(key, todict(value, classkey)) | |
for key, value in obj.__dict__.iteritems() | |
if not callable(value) and not key.startswith('_') and key not in ['name']]) | |
if classkey is not None and hasattr(obj, "__class__"): | |
data[classkey] = obj.__class__.__name__ | |
return data | |
else: | |
return obj |
alpianon
commented
Mar 14, 2021
def to_dict(item):
match item:
case dict():
data = {}
for k, v in item.items():
data[k] = to_dict(v)
return data
case list() | tuple():
return [to_dict(x) for x in item]
case object(__dict__=_):
data = {}
for k, v in item.__dict__.items():
if not k.startswith("_"):
data[k] = to_dict(v)
return data
case _:
return item
@sungitly please support slotted objects
@ahancock1 Your structural pattern matching rocks:D What about vars()
and a dict comprehension?
case object(__dict__=_):
data = {} for k, v in item.__dict__.items(): if not k.startswith("_"): data[k] = to_dict(v) return data
return {key: to_dict(value) for key, value in vars(item).items()}
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