"""Implements decorators used throughout the library."""
import json
from functools import wraps
from validator_collection import checkers
from highcharts_core import errors, constants
[docs]def validate_types(value,
types = None,
allow_dict = True,
allow_json = True,
allow_none = True,
allow_js_literal = True,
force_iterable = False,
function_name = None):
"""Validates that ``value`` is one or more of the allowed types, where the first
type passed in ``types`` is the primary type that it will be returned as.
:param value: The value to be validated.
:type value: Any
:param types: :class:`type <python:type>` object or iterable of
:class:`type <python:type>` objects used to indicate which types are allowed. The
first (or only) item in ``types`` will indicate the primary type that ``value`` will
be returned as.
:types: :class:`type <python:type>` or iterable of :class:`type <python:type>`
:param allow_dict: If ``True``, will accept a :class:`dict <python:dict>` object as
``value``. Defaults to ``True``.
:type allow_dict: :class:`bool <python:bool>`
:param allow_json: If ``True``, will accept a :class:`str <python:str>` object as
``value``, under the assumption that is is deserializable as JSON. Defaults to
``True``.
:type allow_json: :class:`bool <python:bool>`
:param allow_none: If ``True``, will accept an empty or :obj:`None <python:None>`
object as ``value``. Defaults to ``True``.
:type allow_none: :class:`bool <python:bool>`
:param allow_js_literal: If ``True``, will accept a :class:`str <python:str>` object
as ``value``, under the assumption that it is deserializable as a JavaScript object
literal. Defaults to ``True``.
:type allow_js_literal: :class:`bool <python:bool>`
:param force_iterable: If ``True``, will accept an iterable object as ``value``.
Defaults to ``False`` (because most attributes are just singletons).
:type force_iterable: :class:`bool <python:bool>`
:param function_name: The optional name of the function that was originally called.
:type function_name: :class:`str <python:str>`
:returns: ``value`` de-serialized to the primary type (first
:class:`type <python:type>` in ``types``)
:rtype: first :class:`type <python:type>` in ``types``
:raises HighchartsImplementationError: if ``types`` is empty
:raises HighchartsValueError: if ``types`` does not contain a
:class:`type <python:type>` or iterable of :class:`type <python:type>` objects
:raises HighchartsValueError: if the primary type does not conform to the
:class:`HighchartsMeta` interface definition
"""
if not types:
raise errors.HighchartsImplementationError('types cannot be empty - must be a type or '
'iterable of types')
if not types:
raise errors.HighchartsImplementationError('types cannot be empty - must be a type or '
'iterable of types')
try:
types_list = [x for x in types]
except TypeError:
types_list = [types]
for item in types_list:
if not isinstance(item, type):
raise errors.HighchartsValueError(f'types must contain one or more type '
f'objects. Received a {type(item)}.')
primary_type = types_list[0]
if not hasattr(primary_type, 'from_js_literal'):
allow_js_literal = False
if allow_none and force_iterable and checkers.is_iterable(value) and not value:
value = []
elif allow_none and isinstance(value, constants.EnforcedNullType):
pass
elif allow_none and not value:
value = None
elif not allow_none and not value:
raise errors.HighchartsValueError('value is not expected to be empty, but was '
'empty')
elif allow_dict and isinstance(value, dict):
try:
value = primary_type.from_dict(value)
except AttributeError as error:
if not hasattr(primary_type, 'from_dict'):
raise errors.HighchartsValueError(f'supplied type '
f'({primary_type.__name__}) '
f'does not conform to the '
f'HighchartsMeta interface')
else:
raise error
elif allow_js_literal and isinstance(value, str):
try:
value = primary_type.from_js_literal(value)
except ValueError:
pass
if allow_json and isinstance(value, (str, bytes)):
try:
value = primary_type.from_json(value)
except AttributeError:
raise errors.HighchartsValueError(f'supplied type '
f'({primary_type.__class__.__name__}) '
f'does not conform to the '
f'HighchartsMeta interface')
except TypeError:
value = json.loads(value)
if force_iterable and checkers.is_iterable(value):
value = [validate_types(x,
types = types,
allow_dict = allow_dict,
allow_json = allow_json,
allow_js_literal = allow_js_literal,
force_iterable = force_iterable)
for x in value]
elif allow_none and isinstance(value, constants.EnforcedNullType):
pass
elif allow_none and not value:
pass
elif not isinstance(value, primary_type):
error_string = f'expects a {primary_type.__name__}'
if function_name:
error_string = f'{function_name} ' + error_string
allow_js = allow_json or allow_js_literal
if allow_dict and allow_js and force_iterable and allow_none:
error_string += ', dict, str, iterable, or empty object.'
elif allow_dict and allow_js and force_iterable:
error_string += ', dict, str, or iterable object.'
elif allow_dict and allow_js and allow_none:
error_string += ', dict, str, or empty object.'
elif allow_dict and force_iterable and allow_none:
error_string += ', dict, iterable, or empty object.'
elif allow_dict and allow_js:
error_string += ', dict, or str object.'
elif allow_dict and force_iterable:
error_string += ', dict, or iterable object.'
elif allow_dict and allow_none:
error_string += ', dict, or empty object.'
elif allow_js and force_iterable:
error_string += ', str, or iterable object.'
elif allow_js and allow_none:
error_string += ', str, or empty object.'
elif force_iterable and allow_none:
error_string += ', iterable, or empty object.'
elif allow_js:
error_string += ' or str object.'
elif force_iterable:
error_string += ' or iterable object.'
elif allow_none:
error_string += ' or empty object.'
error_string += f' Received {value.__class__.__name__}.'
raise errors.HighchartsValueError(error_string)
return value
[docs]def class_sensitive(types = None,
allow_dict = True,
allow_json = True,
allow_none = True,
allow_js_literal = True,
force_iterable = False):
"""Validates that the values passed to a decorated function or method are
de-serialized to the appropriate type.
:param types: :class:`type <python:type>` object or iterable of
:class:`type <python:type>` objects used to indicate which types are allowed. The
first (or only) item in ``types`` will indicate the primary type that ``value`` will
be returned as.
:types: :class:`type <python:type>` or iterable of :class:`type <python:type>`
:param allow_dict: If ``True``, will accept a :class:`dict <python:dict>` object as
``value``. Defaults to ``True``.
:type allow_dict: :class:`bool <python:bool>`
:param allow_json: If ``True``, will accept a :class:`str <python:str>` object as
``value``, under the assumption that is is deserializable as JSON. Defaults to
``True``.
:type allow_json: :class:`bool <python:bool>`
:param allow_none: If ``True``, will accept an empty or :obj:`None <python:None>`
object as ``value``. Defaults to ``True``.
:type allow_none: :class:`bool <python:bool>`
:param allow_js_literal: If ``True``, will accept a :class:`str <python:str>` object
as ``value``, under the assumption that it is deserializable as a JavaScript object
literal. Defaults to ``True``.
:type allow_js_literal: :class:`bool <python:bool>`
:param force_iterable: If ``True``, will accept an iterable object as ``value``.
Defaults to ``False`` (because most attributes are just singletons).
:type force_iterable: :class:`bool <python:bool>`
.. note::
To apply the decorator to a property setter method (the most-common use case), place
it *after* the ``@<property name>.setter`` decorator and directly above the function
name like so:
.. code-block:: python
@some_property.setter
@class_sensitive(...)
def some_property(self, value):
...
:returns: The result of the decorated function or method having validated the class
typing.
:raises HighchartsImplementationError: if ``types`` is empty
:raises HighchartsValueError: if ``types`` does not contain a
:class:`type <python:type>` or iterable of :class:`type <python:type>` objects
:raises HighchartsValueError: if the primary type does not conform to the
:class:`HighchartsMeta` interface definition
"""
def decorator(func):
@wraps(func)
def func_wrapper(*args,
**kwargs):
function_name = func.__name__
try:
value = args[1]
except IndexError:
raise errors.HighchartsError('Something went wrong. Unsure how this '
'might happen.')
value = validate_types(value,
types = types,
allow_dict = allow_dict,
allow_json = allow_json,
allow_none = allow_none,
allow_js_literal = allow_js_literal,
force_iterable = force_iterable,
function_name = function_name)
result = func(args[0], value)
return result
return func_wrapper
return decorator