cloudpathlib.AnyPath¶
Polymorphic virtual superclass for CloudPath and pathlib.Path. Constructing an instance will automatically dispatch to CloudPath or Path based on the input. It also supports both isinstance and issubclass checks.
This class also integrates with Pydantic. When used as a type declaration for a Pydantic BaseModel, the Pydantic validation process will appropriately run inputs through this class' constructor and dispatch to CloudPath or Path.
Source code in cloudpathlib/anypath.py
class AnyPath(metaclass=AnyPathMeta):
"""Polymorphic virtual superclass for CloudPath and pathlib.Path. Constructing an instance will
automatically dispatch to CloudPath or Path based on the input. It also supports both
isinstance and issubclass checks.
This class also integrates with Pydantic. When used as a type declaration for a Pydantic
BaseModel, the Pydantic validation process will appropriately run inputs through this class'
constructor and dispatch to CloudPath or Path.
"""
def __new__(cls, *args, **kwargs) -> Union[CloudPath, Path]: # type: ignore
try:
return CloudPath(*args, **kwargs) # type: ignore
except InvalidPrefixError as cloudpath_exception:
try:
return Path(*args, **kwargs)
except TypeError as path_exception:
raise AnyPathTypeError(
"Invalid input for both CloudPath and Path. "
f"CloudPath exception: {repr(cloudpath_exception)} "
f"Path exception: {repr(path_exception)}"
)
@classmethod
def __get_validators__(cls):
"""Pydantic special method. See
https://pydantic-docs.helpmanual.io/usage/types/#custom-data-types"""
yield cls._validate
@classmethod
def _validate(cls, value) -> Union[CloudPath, Path]:
"""Used as a Pydantic validator. See
https://pydantic-docs.helpmanual.io/usage/types/#custom-data-types"""
# Note __new__ is static method and not a class method
return cls.__new__(cls, value)