New submission from Anton Abrosimov <abrosimov....@gmail.com>:
I want to add `abc.Mapping` extension to `dataclasses.dataclass`.
Motivation:
1. `asdict` makes a deep copy of the `dataclass` object. If I only want to
iterate over the `field` attributes, I don't want to do a deep copy.
2. `dict(my_dataclass)` can be used as a `dict` representation of
`my_dataclass` class without deep copying.
3. `myfunc(**my_dataclass)` looks better and is faster then
`myfunc(**asdict(my_dataclass))`.
4. `len(my_dataclass) == len(asdict(my_dataclass))` is expected behavior.
5. `my_dataclass.my_field is my_dataclass['my_field']` is expected behavior.
Looks like a prototype:
from collections.abc import Mapping
from dataclasses import dataclass, fields, _FIELDS, _FIELD
@dataclass # `(mapping=True)` creates such a class:
class MyDataclass(Mapping):
a: int = 1
b: int = 2
# In `dataclasses._process_class`:
# if `mapping` is `True`.
# Make sure 'get', 'items', 'keys', 'values' is not in `MyDataclass` fields.
def __iter__(self):
return (f.name for f in fields(self))
def __getitem__(self, key):
fields = getattr(self, _FIELDS)
f = fields[key]
if f._field_type is not _FIELD:
raise KeyError(f"'{key}' is not a field of the dataclass.")
return getattr(self, f.name)
def __len__(self):
return len(fields(self))
my_dataclass = MyDataclass(b=3)
print(my_dataclass['a'])
print(my_dataclass['b'])
print(dict(my_dataclass))
print(dict(**my_dataclass))
Stdout:
1
3
{'a': 1, 'b': 3}
{'a': 1, 'b': 3}
Realisation:
Updating the `dataclasses.py`: `dataclass`, `_process_class`,
`_DataclassParams`.
Set `mapping` argument to default `False`.
Can this enhancement be accepted?
----------
components: Library (Lib)
messages: 383752
nosy: abrosimov.a.a
priority: normal
severity: normal
status: open
title: Add abc.Mapping to dataclass
type: enhancement
versions: Python 3.10
_______________________________________
Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue42742>
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