pane.convert

pane.convert

High-level interface to pane.

ScalarType = t.Union[str, bytes, int, bool, float, complex, None] module-attribute

DataType = t.Union[str, bytes, int, bool, float, complex, None, t.Mapping['DataType', 'DataType'], t.Sequence['DataType'], numpy.NDArray[numpy.generic]] module-attribute

Common data interchange type. into_data converts to this.

Convertible = t.Union[DataType, HasConverter, t.Mapping['Convertible', 'Convertible'], t.Sequence['Convertible'], t.AbstractSet[DataType], Fraction, Decimal, datetime.datetime, datetime.date, datetime.time, os.PathLike[str], t.Pattern[str], t.Pattern[bytes], enum.Enum] module-attribute

Types supported by from_data.

Consists of DataType + HasConverter + supported stdlib types.

IntoConverter = t.Union[type[Convertible], type[t.Any], t.Mapping[str, 'IntoConverter'], t.Sequence['IntoConverter']] module-attribute

Inputs supported by make_converter. Consists of t.Type[Convertible], mappings (struct types), and sequences (tuple types).

IntoConverterHandlers = t.Union[ConverterHandler, t.Sequence[ConverterHandler], dict[type, 'Converter[t.Any]']] module-attribute

ConvertError

Bases: Exception

pane conversion error.

self.tree contains a detailed error tree, and str(self) is a human-friendly representation of the same.

Source code in pane/errors.py

class ConvertError(Exception):
    """
    `pane` conversion error.

    `self.tree` contains a detailed error tree, and `str(self)`
    is a human-friendly representation of the same.
    """
    def __init__(self, tree: ErrorNode):
        self.tree: ErrorNode = tree

    def __repr__(self) -> str:
        return f"{self.__class__.__name__}({self.tree!r})"

    def __str__(self) -> str:
        return str(self.tree)

tree = tree instance-attribute

HasConverter

Bases: Protocol

Protocol to add convert functionality into an arbitrary type from data.

Source code in pane/convert.py

@t.runtime_checkable
class HasConverter(t.Protocol):
    """
    Protocol to add [`convert`][pane.convert.convert] functionality into an arbitrary type from data.
    """

    @classmethod
    def _converter(cls: type[Self], *args: type['Convertible'],
                   handlers: 'ConverterHandlers') -> 'Converter[Self]':
        """
        Return a [`Converter`][pane.converters.Converter] capable of constructing `cls`.

        Any given type arguments are passed as positional arguments.
        This function should error when passed unknown type arguments.

        `handlers` must be passed through to any sub-calls to `make_converter`.
        """
        ...

_converter(*args, handlers) classmethod

Return a Converter capable of constructing cls.

Any given type arguments are passed as positional arguments. This function should error when passed unknown type arguments.

handlers must be passed through to any sub-calls to make_converter.

Source code in pane/convert.py

@classmethod
def _converter(cls: type[Self], *args: type['Convertible'],
               handlers: 'ConverterHandlers') -> 'Converter[Self]':
    """
    Return a [`Converter`][pane.converters.Converter] capable of constructing `cls`.

    Any given type arguments are passed as positional arguments.
    This function should error when passed unknown type arguments.

    `handlers` must be passed through to any sub-calls to `make_converter`.
    """
    ...

ConverterHandler

Bases: Protocol

Function which may be called to create a converter. Receives two arguments, and one keyword argument handlers. The first argument is the base type, the second argument is a tuple of any type arguments, and the keyword argument handlers must be passed through to any nested calls to make_converter.

May return NotImplemented, in which case handling will be passed to other handlers (including the default handlers).

Source code in pane/convert.py

class ConverterHandler(t.Protocol):
    """
    Function which may be called to create a converter.
    Receives two arguments, and one keyword argument `handlers`.
    The first argument is the base type, the second argument is a tuple of any type arguments,
    and the keyword argument `handlers` must be passed through to any nested calls to `make_converter`.

    May return `NotImplemented`, in which case handling will be passed to other handlers
    (including the default handlers).
    """

    def __call__(self, ty: type, args: tuple[t.Any, ...], /, *,
                 handlers: 'ConverterHandlers') -> 'Converter[t.Any]':
        ...

ConverterHandlers dataclass

Source code in pane/convert.py

@dataclass(frozen=True)
class ConverterHandlers:
    globals: tuple[ConverterHandler, ...] = ()
    """Converters passed globally to convert, into_data, or from_data."""
    class_local: tuple[ConverterHandler, ...] = ()
    """Converters local to a given class. These will be overriden by inner classes."""

    @classmethod
    def make(cls, handlers: t.Optional[IntoConverterHandlers]) -> Self:
        return cls(globals=cls._process(handlers))

    @staticmethod
    def _process(handlers: t.Optional[IntoConverterHandlers]) -> tuple[ConverterHandler, ...]:
        if handlers is None:
            return ()

        if isinstance(handlers, dict):
            conv_map = handlers

            def inner(ty: type, args: tuple[t.Any, ...] = (), *, handlers: ConverterHandlers):
                if ty in conv_map and len(args) == 0:
                    return conv_map[ty]
                return NotImplemented

            return (inner,)

        return tuple(handlers) if isinstance(handlers, t.Sequence) else (handlers,)

    def __iter__(self) -> t.Iterator[ConverterHandler]:
        return itertools.chain(self.globals, self.class_local)

globals = () class-attribute instance-attribute

Converters passed globally to convert, into_data, or from_data.

class_local = () class-attribute instance-attribute

Converters local to a given class. These will be overriden by inner classes.

make(handlers) classmethod

Source code in pane/convert.py

@classmethod
def make(cls, handlers: t.Optional[IntoConverterHandlers]) -> Self:
    return cls(globals=cls._process(handlers))

_make_converter_key_f(ty, handlers=ConverterHandlers())

Source code in pane/convert.py

def _make_converter_key_f(ty: IntoConverter, handlers: ConverterHandlers = ConverterHandlers()) -> t.Any:
    return (id(ty), handlers)

make_converter(ty, handlers=ConverterHandlers())

make_converter(ty: type[T], handlers: ConverterHandlers = ...) -> Converter[T]

make_converter(ty: IntoConverter, handlers: ConverterHandlers = ...) -> Converter[t.Any]

Make a Converter for ty.

Supports types, mappings of types, and sequences of types.

Source code in pane/convert.py

@key_cache(_make_converter_key_f)
def make_converter(ty: IntoConverter, handlers: ConverterHandlers = ConverterHandlers()) -> 'Converter[t.Any]':
    """
    Make a [`Converter`][pane.convert.Converter] for `ty`.

    Supports types, mappings of types, and sequences of types.
    """
    from .converters import (
        _BASIC_CONVERTERS,
        _BASIC_WITH_ARGS,
        AnyConverter,
        DelegateConverter,
        DictConverter,
        EnumConverter,
        LiteralConverter,
        ScalarConverter,
        SequenceConverter,
        StructConverter,
        TupleConverter,
        UnionConverter,
    )

    ty = resolve_type_aliases(ty)

    if ty is t.Any or ty is type(t.Any):
        return AnyConverter()
    if isinstance(ty, t.TypeVar):
        var_ty: IntoConverter

        if ty.__bound__ is not None:  # type: ignore
            # bound typevar
            var_ty = ty.__bound__
        elif len(ty.__constraints__) == 1:
            # typevar with constraints
            var_ty = ty.__constraints__
        elif len(ty.__constraints__) > 1:
            # typevar with multiple constraints
            var_ty = t.Union[ty.__constraints__]  # type: ignore
        else:
            # unbound typevar
            var_ty = t.Any  # type: ignore

        warnings.warn(f"Unbound TypeVar '{ty}'. Will be interpreted as '{var_ty}'.")
        return make_converter(var_ty, handlers)
    if isinstance(ty, (dict, t.Mapping)):
        return StructConverter(type(ty), ty, handlers=handlers)  # type: ignore
    if isinstance(ty, (tuple, t.Tuple)):  # noqa: UP006
        return TupleConverter(type(ty), ty, handlers=handlers)
    if isinstance(ty, (t.ForwardRef, str)):
        raise TypeError(f"Unresolved forward reference '{ty}'")

    base = t.get_origin(ty) or ty
    args = t.get_args(ty)

    # special types

    # handle annotations
    if base is t.Annotated:
        return _annotated_converter(args[0], args[1:], handlers=handlers)
    # union converter
    if is_union(base):
        return UnionConverter(args, handlers=handlers)
    # literal converter
    if base is t.Literal:
        return LiteralConverter(args)

    if not isinstance(base, type):
        raise TypeError(f"Unsupported special type '{base}'")

    # passed converter handler
    for handler in handlers:
        try:
            result = handler(base, args, handlers=ConverterHandlers())
            if result is not NotImplemented:
                return result
        except NotImplementedError:
            pass

    # custom converter
    if issubclass(base, HasConverter):
        return base._converter(*args, handlers=handlers)

    # simple/scalar converters
    if base in _BASIC_CONVERTERS:
        return _BASIC_CONVERTERS[base]

    if base in _BASIC_WITH_ARGS:
        return _BASIC_WITH_ARGS[base](*args)

    # add-on handlers
    for handler in _GLOBAL_HANDLERS:
        try:
            result = handler(t.cast(type, base), args, handlers=handlers)
            if result is not NotImplemented:
                return result
        except NotImplementedError:
            pass

    if issubclass(base, enum.Enum):
        return EnumConverter(base, handlers=handlers)

    # pathlike converter
    if issubclass(base, os.PathLike):  # pyright: ignore[reportGeneralTypeIssues]
        new_base = _ABSTRACT_MAPPING.get(base, base)  # type: ignore
        if inspect.isabstract(new_base):
            raise TypeError(f"No converter for abstract type '{ty}'")
        return ScalarConverter(new_base, (str, os.PathLike), 'a path', 'paths', str)  # type: ignore

    # tuple converter
    # treat tuple[int, ...] and tuple[()] correctly
    if issubclass(base, (tuple, t.Tuple)) \
        and (len(args) > 0 and args[-1] != Ellipsis or args == () and hasattr(ty, '__args__')):  # noqa: UP006
            if args == ((),):  # tuple[()] on python <3.11
                args = ()
            return TupleConverter(base, args, handlers=handlers)  # type: ignore
        # fall through to sequence converter

    # homogenous sequence converter
    # concrete t.Set/t.List/etc are already converted to set/list/etc by t.get_origin
    if issubclass(base, (collections.abc.Sequence, collections.abc.Set)):
        # map abstract to concrete types
        new_base = _ABSTRACT_MAPPING.get(base, base)  # type: ignore
        if inspect.isabstract(new_base):
            raise TypeError(f"No converter for abstract type '{ty}'")
        return SequenceConverter(
            new_base,
            args[0] if len(args) > 0 else t.Any,  # type: ignore
            handlers=handlers
        )  # type: ignore

    # homogenous mapping converter
    # this also handles dict subclasses like Counter & OrderedDict
    if issubclass(base, (dict, t.Mapping)):
        # map abstract to concrete types
        new_base = _ABSTRACT_MAPPING.get(base, base)  # type: ignore
        if inspect.isabstract(new_base):
            raise TypeError(f"No converter for abstract type '{ty}'")
        if issubclass(new_base, collections.Counter):
            # counter takes one type argument, handle it specially
            return DictConverter(
                new_base, # type: ignore
                args[0] if len(args) > 0 else t.Any,  # type: ignore
                int, handlers=handlers
            )

        # defaultdict needs a special constructor
        constructor: t.Optional[t.Callable[[t.Mapping[t.Any, t.Any]], collections.defaultdict[t.Any, t.Any]]]
        constructor = (lambda d: collections.defaultdict(None, d)) if issubclass(new_base, collections.defaultdict) else None
        return DictConverter(
            new_base,  # type: ignore
            args[0] if len(args) > 0 else t.Any,
            args[1] if len(args) > 1 else t.Any,
            constructor, handlers=handlers
        )

    # after we've handled common cases, look for subclasses of basic types
    for conv_ty in _BASIC_CONVERTERS:
        if issubclass(base, conv_ty):
            return DelegateConverter(conv_ty, base, handlers=handlers)  # type: ignore

    raise TypeError(f"No converter for type '{ty}'")

register_converter_handler(handler)

Register a handler for make_converter.

This allows extending pane to handle third-party types, not defined by your code or by pane. Use sparingly, as this will add runtime to make_converter.

Source code in pane/convert.py

def register_converter_handler(handler: ConverterHandler) -> None:
    """
    Register a handler for make_converter.

    This allows extending `pane` to handle third-party types, not
    defined by your code or by `pane`. Use sparingly, as this will
    add runtime to [`make_converter`][pane.convert.make_converter].
    """
    _GLOBAL_HANDLERS.append(handler)

_annotated_converter(ty, args, *, handlers)

Make an annotated converter.

Wraps ty in args from left to right. However, Condition annotations are handled separately (bundled together).

Source code in pane/convert.py

def _annotated_converter(ty: IntoConverter, args: t.Sequence[t.Any], *,
                         handlers: ConverterHandlers) -> 'Converter[t.Any]':
    """
    Make an annotated converter.

    Wraps `ty` in `args` from left to right. However, [`Condition`][pane.annotations.Condition] annotations
    are handled separately (bundled together).
    """
    from .annotations import Condition, ConvertAnnotation
    from .converters import Converter

    conv: t.Union[IntoConverter, Converter[t.Any]] = ty

    conditions: list[Condition] = []  # buffer of conditions to combine
    for arg in args:
        if isinstance(arg, Condition):
            conditions.append(arg)
            continue

        if not isinstance(arg, ConvertAnnotation):
            raise UnsupportedAnnotation(arg)

        # dump list of conditions
        if len(conditions):
            if len(conditions) > 1:
                conv = Condition.all(*conditions)._converter(conv, handlers=handlers)
            else:
                conv = conditions[0]._converter(conv, handlers=handlers)

        conv = arg._converter(conv, handlers=handlers)

    # dump list of conditions
    if len(conditions):
        if len(conditions) > 1:
            conv = Condition.all(*conditions)._converter(conv, handlers=handlers)
        else:
            conv = conditions[0]._converter(conv, handlers=handlers)

    return conv if isinstance(conv, Converter) else make_converter(conv, handlers=handlers)

into_data(val, ty=None, *, custom=None)

Convert val of type ty into a data interchange format.

Source code in pane/convert.py

def into_data(val: Convertible, ty: t.Optional[IntoConverter] = None, *,
              custom: t.Optional[IntoConverterHandlers] = None) -> DataType:
    """
    Convert `val` of type `ty` into a data interchange format.
    """
    if ty is None:
        if isinstance(val, _ScalarType) and custom is None:
            # we can bypass the converter for scalar types
            return val
        ty = type(val)

    try:
        conv = make_converter(ty, ConverterHandlers.make(custom))
        assert not hasattr(conv.into_data, '_original')  # hack to not use the default into_data implementation here
    except (TypeError, AssertionError):
        raise TypeError(f"Can't convert type '{type(val)}' into data.") from None

    return conv.into_data(val)

from_data(val, ty, *, custom=None)

Convert val from a data interchange format into type ty.

Source code in pane/convert.py

def from_data(val: DataType, ty: type[T], *,
              custom: t.Optional[IntoConverterHandlers] = None) -> T:
    """
    Convert `val` from a data interchange format into type `ty`.
    """

    if not isinstance(val, _DataType):
        raise TypeError(f"Type {type(val)} is not a valid data interchange type.")

    converter = make_converter(ty, ConverterHandlers.make(custom))
    return converter.convert(val)

convert(val, ty, *, custom=None)

Convert val into type ty, passing through a data interchange format.

Source code in pane/convert.py

def convert(val: Convertible, ty: type[T], *,
            custom: t.Optional[IntoConverterHandlers] = None) -> T:
    """
    Convert `val` into type `ty`, passing through a data interchange format.
    """
    data = into_data(val, custom=custom)
    return from_data(data, ty, custom=custom)