Equipment

class Equipment

Bases: CommonBaseModel

Represents miscellaneous equipment onboard an aircraft required for it’s operational use.

name

The name of the equipment, acting as a unique identifier.

Type:

Optional[str]

description

A brief description of the equipments’s purpose and functionality.

Type:

Optional[str]

geometry

Geometric information of the equipment, if applicable.

Type:

Optional[Dict[str, Any]]

parameters

Operational or physical parameters associated with the equipment.

Type:

Optional[Dict[str, Any]]

metadata

Additional metadata providing context or details about the equipment.

Type:

Optional[Metadata]

subequipment

A list of sub-components, if any, within this equipment.

Type:

Optional[List[Equipment]]

requirements

Specific requirements associated with this equipment.

Type:

Optional[List[Requirement]]

performance

List of disciplines analyzing the equipment.

Type:

Optional[List[Discipline]]

behavior

Specific behaviors for the equipment.

Type:

Optional[List[Behavior]]

Raises:

ValueError – If any string field is empty, ensuring all equipment has meaningful identifiers and descriptions.

Attributes Summary

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Summary

validate_non_empty_string(value)

Validates that the name and description fields are not empty or whitespace only.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'allow', 'from_attributes': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Documentation

classmethod validate_non_empty_string(value)

Validates that the name and description fields are not empty or whitespace only.

Parameters:

value (Optional[str]) – The value to validate.

Returns:

The validated string value.

Return type:

Optional[str]

Raises:

ValueError – If the input value is empty or consists only of whitespace.

Methods:

validate_non_empty_string(value)

Validates that the name and description fields are not empty or whitespace only.

Attributes:

__pydantic_setattr_handlers__

__setattr__ handlers.

classmethod validate_non_empty_string(value)

Validates that the name and description fields are not empty or whitespace only.

Parameters:

value (Optional[str]) – The value to validate.

Returns:

The validated string value.

Return type:

Optional[str]

Raises:

ValueError – If the input value is empty or consists only of whitespace.

class Config

Bases: object

Pydantic model configuration.

__pydantic_setattr_handlers__: ClassVar[Dict[str, Callable[[BaseModel, str, Any], None]]] = {}

__setattr__ handlers. Memoizing the handlers leads to a dramatic performance improvement in __setattr__