vcorelib.schemas
index
/home/vkottler/src/vkottler/workspace/vcorelib/vcorelib/schemas/__init__.py

A module for working with various schema enforcement implementations.

 
Package Contents
       
base
json
mixins

 
Classes
       
vcorelib.schemas.base.Schema(abc.ABC)
CerberusSchema
vcorelib.schemas.base.SchemaMap(collections.UserDict, collections.abc.MutableMapping, typing.Generic)
CerberusSchemaMap

 
class CerberusSchema(vcorelib.schemas.base.Schema)
    CerberusSchema(data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]], **kwargs) -> None
 
An object wrapper for: https://docs.python-cerberus.org/en/stable/.
 
 
Method resolution order:
CerberusSchema
vcorelib.schemas.base.Schema
abc.ABC
builtins.object

Methods defined here:
__call__(self, data: Any) -> Any
Validate input data and return the result.
__init__(self, data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]], **kwargs) -> None
Initialize this schema.

Data and other attributes defined here:
__abstractmethods__ = frozenset()

Class methods inherited from vcorelib.schemas.base.Schema:
from_path(path: Union[pathlib.Path, str, NoneType], includes_key: str = None, **kwargs) -> ~T from abc.ABCMeta
Load a schema from a data file on disk.

Data descriptors inherited from vcorelib.schemas.base.Schema:
__dict__
dictionary for instance variables
__weakref__
list of weak references to the object

 
class CerberusSchemaMap(vcorelib.schemas.base.SchemaMap)
    CerberusSchemaMap() -> None
 
A class for managing multiple schema objects.
 
 
Method resolution order:
CerberusSchemaMap
vcorelib.schemas.base.SchemaMap
collections.UserDict
collections.abc.MutableMapping
collections.abc.Mapping
collections.abc.Collection
collections.abc.Sized
collections.abc.Iterable
collections.abc.Container
typing.Generic
builtins.object

Class methods defined here:
kind() -> Type[vcorelib.schemas.CerberusSchema] from abc.ABCMeta
Implement this to determine the concrete schema type.

Data and other attributes defined here:
__abstractmethods__ = frozenset()
__parameters__ = ()

Methods inherited from vcorelib.schemas.base.SchemaMap:
__init__(self) -> None
Initialize this schema map.
load_directory(self, path: Union[pathlib.Path, str, NoneType], includes_key: str = None, **kwargs) -> Iterator[Tuple[str, vcorelib.schemas.base.Schema]]
Load a directory of schema files into the map.
load_file(self, path: Union[pathlib.Path, str, NoneType], includes_key: str = None, **kwargs) -> Tuple[str, ~T]
Load a schema file into the map.
load_package(self, package: str, path: Union[pathlib.Path, str, NoneType] = 'schemas', package_subdir: str = 'data', includes_key: str = None, **kwargs) -> Iterator[Tuple[str, vcorelib.schemas.base.Schema]]
Load schemas from package data.

Class methods inherited from vcorelib.schemas.base.SchemaMap:
from_package(package: str, includes_key: str = None, **kwargs) -> ~V from abc.ABCMeta
Create a new JSON-schema map from package data.

Data and other attributes inherited from vcorelib.schemas.base.SchemaMap:
__orig_bases__ = (<class 'collections.UserDict'>, typing.MutableMapping[str, vcorelib.schemas.base.Schema])

Methods inherited from collections.UserDict:
__contains__(self, key)
# Modify __contains__ and get() to work like dict
# does when __missing__ is present.
__copy__(self)
__delitem__(self, key)
__getitem__(self, key)
__ior__(self, other)
__iter__(self)
__len__(self)
__or__(self, other)
Return self|value.
__repr__(self)
Return repr(self).
__ror__(self, other)
Return value|self.
__setitem__(self, key, item)
copy(self)
get(self, key, default=None)
D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None.

Class methods inherited from collections.UserDict:
fromkeys(iterable, value=None) from abc.ABCMeta

Data descriptors inherited from collections.UserDict:
__dict__
dictionary for instance variables
__weakref__
list of weak references to the object

Methods inherited from collections.abc.MutableMapping:
clear(self)
D.clear() -> None.  Remove all items from D.
pop(self, key, default=<object object at 0x7ff8bb48c1c0>)
D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised.
popitem(self)
D.popitem() -> (k, v), remove and return some (key, value) pair
as a 2-tuple; but raise KeyError if D is empty.
setdefault(self, key, default=None)
D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
update(self, other=(), /, **kwds)
D.update([E, ]**F) -> None.  Update D from mapping/iterable E and F.
If E present and has a .keys() method, does:     for k in E: D[k] = E[k]
If E present and lacks .keys() method, does:     for (k, v) in E: D[k] = v
In either case, this is followed by: for k, v in F.items(): D[k] = v

Methods inherited from collections.abc.Mapping:
__eq__(self, other)
Return self==value.
items(self)
D.items() -> a set-like object providing a view on D's items
keys(self)
D.keys() -> a set-like object providing a view on D's keys
values(self)
D.values() -> an object providing a view on D's values

Data and other attributes inherited from collections.abc.Mapping:
__hash__ = None
__reversed__ = None

Class methods inherited from collections.abc.Collection:
__subclasshook__(C) from abc.ABCMeta
Abstract classes can override this to customize issubclass().
 
This is invoked early on by abc.ABCMeta.__subclasscheck__().
It should return True, False or NotImplemented.  If it returns
NotImplemented, the normal algorithm is used.  Otherwise, it
overrides the normal algorithm (and the outcome is cached).

Class methods inherited from collections.abc.Iterable:
__class_getitem__ = GenericAlias(...) from abc.ABCMeta
Represent a PEP 585 generic type
 
E.g. for t = list[int], t.__origin__ is list and t.__args__ is (int,).

Class methods inherited from typing.Generic:
__init_subclass__(...) from abc.ABCMeta
Function to initialize subclasses.