django-model-utils/model_utils/choices.py

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from __future__ import annotations
import copy
from typing import TYPE_CHECKING, Any, Generic, TypeVar, cast, overload
T = TypeVar("T")
if TYPE_CHECKING:
from collections.abc import Iterable, Iterator, Sequence
# The type aliases defined here are evaluated when the django-stubs mypy plugin
# loads this module, so they must be able to execute under the lowest supported
# Python VM:
# - typing.List, typing.Tuple become obsolete in Pyton 3.9
# - typing.Union becomes obsolete in Pyton 3.10
from typing import List, Tuple, Union
from django_stubs_ext import StrOrPromise
# The type argument 'T' to 'Choices' is the database representation type.
_Double = Tuple[T, StrOrPromise]
_Triple = Tuple[T, str, StrOrPromise]
_Group = Tuple[StrOrPromise, Sequence["_Choice[T]"]]
_Choice = Union[_Double[T], _Triple[T], _Group[T]]
# Choices can only be given as a single string if 'T' is 'str'.
_GroupStr = Tuple[StrOrPromise, Sequence["_ChoiceStr"]]
_ChoiceStr = Union[str, _Double[str], _Triple[str], _GroupStr]
# Note that we only accept lists and tuples in groups, not arbitrary sequences.
# However, annotating it as such causes many problems.
_DoubleRead = Union[_Double[T], Tuple[StrOrPromise, Iterable["_DoubleRead[T]"]]]
_DoubleCollector = List[Union[_Double[T], Tuple[StrOrPromise, "_DoubleCollector[T]"]]]
_TripleCollector = List[Union[_Triple[T], Tuple[StrOrPromise, "_TripleCollector[T]"]]]
class Choices(Generic[T]):
"""
A class to encapsulate handy functionality for lists of choices
for a Django model field.
Each argument to ``Choices`` is a choice, represented as either a
string, a two-tuple, or a three-tuple.
If a single string is provided, that string is used as the
database representation of the choice as well as the
human-readable presentation.
If a two-tuple is provided, the first item is used as the database
representation and the second the human-readable presentation.
If a triple is provided, the first item is the database
representation, the second a valid Python identifier that can be
used as a readable label in code, and the third the human-readable
presentation. This is most useful when the database representation
must sacrifice readability for some reason: to achieve a specific
ordering, to use an integer rather than a character field, etc.
Regardless of what representation of each choice is originally
given, when iterated over or indexed into, a ``Choices`` object
behaves as the standard Django choices list of two-tuples.
If the triple form is used, the Python identifier names can be
accessed as attributes on the ``Choices`` object, returning the
database representation. (If the single or two-tuple forms are
used and the database representation happens to be a valid Python
identifier, the database representation itself is available as an
attribute on the ``Choices`` object, returning itself.)
Option groups can also be used with ``Choices``; in that case each
argument is a tuple consisting of the option group name and a list
of options, where each option in the list is either a string, a
two-tuple, or a triple as outlined above.
"""
@overload
def __init__(self: Choices[str], *choices: _ChoiceStr):
...
@overload
def __init__(self, *choices: _Choice[T]):
...
def __init__(self, *choices: _ChoiceStr | _Choice[T]):
# list of choices expanded to triples - can include optgroups
self._triples: _TripleCollector[T] = []
# list of choices as (db, human-readable) - can include optgroups
self._doubles: _DoubleCollector[T] = []
# dictionary mapping db representation to human-readable
self._display_map: dict[T, StrOrPromise | list[_Triple[T]]] = {}
# dictionary mapping Python identifier to db representation
self._identifier_map: dict[str, T] = {}
# set of db representations
self._db_values: set[T] = set()
self._process(choices)
def _store(
self,
triple: tuple[T, str, StrOrPromise],
triple_collector: _TripleCollector[T],
double_collector: _DoubleCollector[T]
) -> None:
self._identifier_map[triple[1]] = triple[0]
self._display_map[triple[0]] = triple[2]
self._db_values.add(triple[0])
triple_collector.append(triple)
double_collector.append((triple[0], triple[2]))
def _process(
self,
choices: Iterable[_ChoiceStr | _Choice[T]],
triple_collector: _TripleCollector[T] | None = None,
double_collector: _DoubleCollector[T] | None = None
) -> None:
if triple_collector is None:
triple_collector = self._triples
if double_collector is None:
double_collector = self._doubles
def store(c: tuple[Any, str, StrOrPromise]) -> None:
self._store(c, triple_collector, double_collector)
for choice in choices:
# The type inference is not very accurate here:
# - we lied in the type aliases, stating groups contain an arbitrary Sequence
# rather than only list or tuple
# - there is no way to express that _ChoiceStr is only used when T=str
# - mypy 1.9.0 doesn't narrow types based on the value of len()
if isinstance(choice, (list, tuple)):
if len(choice) == 3:
store(choice)
elif len(choice) == 2:
if isinstance(choice[1], (list, tuple)):
# option group
group_name = choice[0]
subchoices = choice[1]
tc: _TripleCollector[T] = []
triple_collector.append((group_name, tc))
dc: _DoubleCollector[T] = []
double_collector.append((group_name, dc))
self._process(subchoices, tc, dc)
else:
store((choice[0], cast(str, choice[0]), cast('StrOrPromise', choice[1])))
else:
raise ValueError(
"Choices can't take a list of length %s, only 2 or 3"
% len(choice)
)
else:
store((choice, choice, choice))
def __len__(self) -> int:
return len(self._doubles)
def __iter__(self) -> Iterator[_DoubleRead[T]]:
return iter(self._doubles)
def __reversed__(self) -> Iterator[_DoubleRead[T]]:
return reversed(self._doubles)
def __getattr__(self, attname: str) -> T:
try:
return self._identifier_map[attname]
except KeyError:
raise AttributeError(attname)
def __getitem__(self, key: T) -> StrOrPromise | Sequence[_Triple[T]]:
return self._display_map[key]
@overload
def __add__(self: Choices[str], other: Choices[str] | Iterable[_ChoiceStr]) -> Choices[str]:
...
@overload
def __add__(self, other: Choices[T] | Iterable[_Choice[T]]) -> Choices[T]:
...
def __add__(self, other: Choices[Any] | Iterable[_ChoiceStr | _Choice[Any]]) -> Choices[Any]:
other_args: list[Any]
if isinstance(other, self.__class__):
other_args = other._triples
else:
other_args = list(other)
return Choices(*(self._triples + other_args))
@overload
def __radd__(self: Choices[str], other: Iterable[_ChoiceStr]) -> Choices[str]:
...
@overload
def __radd__(self, other: Iterable[_Choice[T]]) -> Choices[T]:
...
def __radd__(self, other: Iterable[_ChoiceStr] | Iterable[_Choice[T]]) -> Choices[Any]:
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# radd is never called for matching types, so we don't check here
other_args = list(other)
# The exact type of 'other' depends on our type argument 'T', which
# is expressed in the overloading, but lost within this method body.
return Choices(*(other_args + self._triples)) # type: ignore[arg-type]
def __eq__(self, other: object) -> bool:
if isinstance(other, self.__class__):
return self._triples == other._triples
return False
def __repr__(self) -> str:
return '{}({})'.format(
self.__class__.__name__,
', '.join("%s" % repr(i) for i in self._triples)
)
def __contains__(self, item: T) -> bool:
return item in self._db_values
def __deepcopy__(self, memo: dict[int, Any] | None) -> Choices[T]:
args: list[Any] = copy.deepcopy(self._triples, memo)
return self.__class__(*args)
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def subset(self, *new_identifiers: str) -> Choices[T]:
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identifiers = set(self._identifier_map.keys())
if not identifiers.issuperset(new_identifiers):
raise ValueError(
'The following identifiers are not present: %s' %
identifiers.symmetric_difference(new_identifiers),
)
args: list[Any] = [
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choice for choice in self._triples
if choice[1] in new_identifiers
]
return self.__class__(*args)