Repository URL to install this package:
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Version:
22.1.0 ▾
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"""Preconfigured converters for tomlkit."""
from base64 import b85decode, b85encode
from datetime import datetime
from typing import Any, Type, TypeVar
from tomlkit import dumps, loads
from cattrs._compat import Set, is_mapping
from ..converters import GenConverter
from . import validate_datetime
T = TypeVar("T")
class TomlkitConverter(GenConverter):
def dumps(self, obj: Any, unstructure_as=None, **kwargs) -> str:
return dumps(self.unstructure(obj, unstructure_as=unstructure_as), **kwargs)
def loads(self, data: str, cl: Type[T]) -> T:
return self.structure(loads(data), cl)
def configure_converter(converter: GenConverter):
"""
Configure the converter for use with the tomlkit library.
* bytes are serialized as base85 strings
* sets are serialized as lists
* tuples are serializas as lists
* mapping keys are coerced into strings when unstructuring
"""
converter.register_structure_hook(bytes, lambda v, _: b85decode(v))
converter.register_unstructure_hook(
bytes, lambda v: (b85encode(v) if v else b"").decode("utf8")
)
def gen_unstructure_mapping(cl: Any, unstructure_to=None):
key_handler = str
args = getattr(cl, "__args__", None)
if args:
if issubclass(args[0], str):
key_handler = None
elif issubclass(args[0], bytes):
def key_handler(k: bytes):
return b85encode(k).decode("utf8")
return converter.gen_unstructure_mapping(
cl, unstructure_to=unstructure_to, key_handler=key_handler
)
converter._unstructure_func.register_func_list(
[(is_mapping, gen_unstructure_mapping, True)]
)
converter.register_structure_hook(datetime, validate_datetime)
def make_converter(*args, **kwargs) -> TomlkitConverter:
kwargs["unstruct_collection_overrides"] = {
**kwargs.get("unstruct_collection_overrides", {}),
Set: list,
tuple: list,
}
res = TomlkitConverter(*args, **kwargs)
configure_converter(res)
return res