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@Daenyth
Last active February 3, 2020 19:33
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Parse json via python NamedTuple
import hashlib
import json
from decimal import Decimal
from typing import Any, Dict, Type
from typing_inspect import get_args, get_generic_bases, is_generic_type, is_union_type # type: ignore
Json = Dict[str, Any]
def json_decoder(nt: Type, data: Json) -> Dict:
"""
Takes a NamedTuple class object and Json, and converts the json into a dict ready to be constructed into the
NamedTuple, or excepts if there is not sufficient data. You can then do `MyNamedTuple(**result)`
"""
decoded = {}
field_types = nt._field_types
for key in field_types:
value = data.get(key)
if value is None:
possible_types = get_args(field_types[key])
if len(possible_types) < 2 or type(None) not in possible_types: # confirm the field is optional
raise ValueError(
"Error decoding Json for {nt}. key '{key}' was 'None' but not listed as optional field.".format(
nt=nt, key=key))
else:
field_type = field_types[key]
if is_generic_type(field_type):
field_type = get_generic_bases(field_type)[0]
elif is_union_type(field_type):
field_type = get_args(field_types[key])[0]
value = field_type(value)
decoded[key] = value
return decoded
def dict_md5(obj: Json) -> str:
# sort_keys=True so that ordering of keys doesn't change the md5 value.
json_obj = json.dumps(obj, sort_keys=True, cls=SmartEncoder).encode('utf-8')
return hashlib.md5(json_obj).hexdigest()
class SmartEncoder(json.JSONEncoder):
def default(self, o: Any) -> Any:
if isinstance(o, set):
return sorted(list(o))
if isinstance(o, Decimal):
return str(o)
return super(SmartEncoder, self).default(o)
@Daenyth
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Daenyth commented Sep 14, 2018

Credit to @wTheRockb for the original version of this

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