client.models.permissions#

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

Classes#

ResourceType

Create a collection of name/value pairs.

RoleType

Create a collection of name/value pairs.

SubjectType

Create a collection of name/value pairs.

Resource

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

Subject

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

RoleAssignment

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

RoleQuery

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

Module Contents#

class client.models.permissions.ResourceType(*args, **kwds)#

Bases: 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
    
    
  • value lookup:

    >>> Color(1)
    
    
  • name lookup:

    >>> Color['RED']
    
    

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

>>> len(Color)
3
>>> list(Color)
[, , ]

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

Doc = 'document'#
class client.models.permissions.RoleType(*args, **kwds)#

Bases: 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
    
    
  • value lookup:

    >>> Color(1)
    
    
  • name lookup:

    >>> Color['RED']
    
    

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

>>> len(Color)
3
>>> list(Color)
[, , ]

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

Reader = 'reader'#
Writer = 'writer'#
Admin = 'admin'#
class client.models.permissions.SubjectType(*args, **kwds)#

Bases: 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
    
    
  • value lookup:

    >>> Color(1)
    
    
  • name lookup:

    >>> Color['RED']
    
    

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

>>> len(Color)
3
>>> list(Color)
[, , ]

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

User = 'user'#
Group = 'group'#
Any = 'any'#
class client.models.permissions.Resource(/, **data: Any)#

Bases: 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.

path: str | None = 'my/path/to/data/file.txt'#
type: ResourceType | None = None#
class client.models.permissions.Subject(/, **data: Any)#

Bases: 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.

id: str | None = '946991ec-828c-4de4-acbe-962ada8bc441'#
type: SubjectType | None = None#
class client.models.permissions.RoleAssignment(/, **data: Any)#

Bases: 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.

resource: Resource | None = None#
role: RoleType | None = None#
subject: Subject | None = None#
class client.models.permissions.RoleQuery(/, **data: Any)#

Bases: 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.

resource: Resource | None = None#
role: RoleType | None = None#
subject: Subject | None = None#