client.models.permissions
=========================

.. py:module:: client.models.permissions

.. autoapi-nested-parse::

   Module providing ResourceType, RoleType and SubjectType schema.
   Permission functionality related RoleAssignment and  RoleQuery schema.

   ..
       !! processed by numpydoc !!


Classes
-------

.. autoapisummary::

   client.models.permissions.ResourceType
   client.models.permissions.RoleType
   client.models.permissions.SubjectType
   client.models.permissions.Resource
   client.models.permissions.Subject
   client.models.permissions.RoleAssignment
   client.models.permissions.RoleQuery


Module Contents
---------------

.. py:class:: ResourceType(*args, **kwds)

   Bases: :py:obj:`enum.Enum`


   
   Create a collection of name/value pairs.

   Example enumeration:

   >>> class Color(Enum):
   ...     RED = 1
   ...     BLUE = 2
   ...     GREEN = 3

   Access them by:

   - attribute access:

     >>> Color.RED
     <Color.RED: 1>

   - value lookup:

     >>> Color(1)
     <Color.RED: 1>

   - name lookup:

     >>> Color['RED']
     <Color.RED: 1>

   Enumerations can be iterated over, and know how many members they have:

   >>> len(Color)
   3

   >>> list(Color)
   [<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

   Methods can be added to enumerations, and members can have their own
   attributes -- see the documentation for details.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: Doc
      :value: 'document'



.. py:class:: RoleType(*args, **kwds)

   Bases: :py:obj:`enum.Enum`


   
   Create a collection of name/value pairs.

   Example enumeration:

   >>> class Color(Enum):
   ...     RED = 1
   ...     BLUE = 2
   ...     GREEN = 3

   Access them by:

   - attribute access:

     >>> Color.RED
     <Color.RED: 1>

   - value lookup:

     >>> Color(1)
     <Color.RED: 1>

   - name lookup:

     >>> Color['RED']
     <Color.RED: 1>

   Enumerations can be iterated over, and know how many members they have:

   >>> len(Color)
   3

   >>> list(Color)
   [<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

   Methods can be added to enumerations, and members can have their own
   attributes -- see the documentation for details.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: Reader
      :value: 'reader'



   .. py:attribute:: Writer
      :value: 'writer'



   .. py:attribute:: Admin
      :value: 'admin'



.. py:class:: SubjectType(*args, **kwds)

   Bases: :py:obj:`enum.Enum`


   
   Create a collection of name/value pairs.

   Example enumeration:

   >>> class Color(Enum):
   ...     RED = 1
   ...     BLUE = 2
   ...     GREEN = 3

   Access them by:

   - attribute access:

     >>> Color.RED
     <Color.RED: 1>

   - value lookup:

     >>> Color(1)
     <Color.RED: 1>

   - name lookup:

     >>> Color['RED']
     <Color.RED: 1>

   Enumerations can be iterated over, and know how many members they have:

   >>> len(Color)
   3

   >>> list(Color)
   [<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

   Methods can be added to enumerations, and members can have their own
   attributes -- see the documentation for details.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: User
      :value: 'user'



   .. py:attribute:: Group
      :value: 'group'



   .. py:attribute:: Any
      :value: 'any'



.. py:class:: Resource(/, **data: Any)

   Bases: :py:obj:`pydantic.BaseModel`


   
   Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

   A base class for creating Pydantic models.

   Attributes:
       __class_vars__: The names of the class variables defined on the model.
       __private_attributes__: Metadata about the private attributes of the model.
       __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model.

       __pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
       __pydantic_core_schema__: The core schema of the model.
       __pydantic_custom_init__: Whether the model has a custom `__init__` function.
       __pydantic_decorators__: Metadata containing the decorators defined on the model.
           This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
       __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
           __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
       __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
       __pydantic_post_init__: The name of the post-init method for the model, if defined.
       __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
       __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
       __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

       __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
       __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

       __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
           is set to `'allow'`.
       __pydantic_fields_set__: The names of fields explicitly set during instantiation.
       __pydantic_private__: Values of private attributes set on the model instance.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: path
      :type:  Optional[str]
      :value: 'my/path/to/data/file.txt'



   .. py:attribute:: type
      :type:  Optional[ResourceType]
      :value: None



.. py:class:: Subject(/, **data: Any)

   Bases: :py:obj:`pydantic.BaseModel`


   
   Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

   A base class for creating Pydantic models.

   Attributes:
       __class_vars__: The names of the class variables defined on the model.
       __private_attributes__: Metadata about the private attributes of the model.
       __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model.

       __pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
       __pydantic_core_schema__: The core schema of the model.
       __pydantic_custom_init__: Whether the model has a custom `__init__` function.
       __pydantic_decorators__: Metadata containing the decorators defined on the model.
           This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
       __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
           __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
       __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
       __pydantic_post_init__: The name of the post-init method for the model, if defined.
       __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
       __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
       __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

       __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
       __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

       __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
           is set to `'allow'`.
       __pydantic_fields_set__: The names of fields explicitly set during instantiation.
       __pydantic_private__: Values of private attributes set on the model instance.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: id
      :type:  Optional[str]
      :value: '946991ec-828c-4de4-acbe-962ada8bc441'



   .. py:attribute:: type
      :type:  Optional[SubjectType]
      :value: None



.. py:class:: RoleAssignment(/, **data: Any)

   Bases: :py:obj:`pydantic.BaseModel`


   
   Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

   A base class for creating Pydantic models.

   Attributes:
       __class_vars__: The names of the class variables defined on the model.
       __private_attributes__: Metadata about the private attributes of the model.
       __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model.

       __pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
       __pydantic_core_schema__: The core schema of the model.
       __pydantic_custom_init__: Whether the model has a custom `__init__` function.
       __pydantic_decorators__: Metadata containing the decorators defined on the model.
           This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
       __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
           __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
       __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
       __pydantic_post_init__: The name of the post-init method for the model, if defined.
       __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
       __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
       __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

       __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
       __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

       __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
           is set to `'allow'`.
       __pydantic_fields_set__: The names of fields explicitly set during instantiation.
       __pydantic_private__: Values of private attributes set on the model instance.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: resource
      :type:  Optional[Resource]
      :value: None



   .. py:attribute:: role
      :type:  Optional[RoleType]
      :value: None



   .. py:attribute:: subject
      :type:  Optional[Subject]
      :value: None



.. py:class:: RoleQuery(/, **data: Any)

   Bases: :py:obj:`pydantic.BaseModel`


   
   Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

   A base class for creating Pydantic models.

   Attributes:
       __class_vars__: The names of the class variables defined on the model.
       __private_attributes__: Metadata about the private attributes of the model.
       __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model.

       __pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
       __pydantic_core_schema__: The core schema of the model.
       __pydantic_custom_init__: Whether the model has a custom `__init__` function.
       __pydantic_decorators__: Metadata containing the decorators defined on the model.
           This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
       __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
           __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
       __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
       __pydantic_post_init__: The name of the post-init method for the model, if defined.
       __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
       __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
       __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

       __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
       __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

       __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
           is set to `'allow'`.
       __pydantic_fields_set__: The names of fields explicitly set during instantiation.
       __pydantic_private__: Values of private attributes set on the model instance.















   ..
       !! processed by numpydoc !!

   .. py:attribute:: resource
      :type:  Optional[Resource]
      :value: None



   .. py:attribute:: role
      :type:  Optional[RoleType]
      :value: None



   .. py:attribute:: subject
      :type:  Optional[Subject]
      :value: None