vehicle_common.runtime.fleet_spec#

Attributes#

FleetBackendModel

Classes#

`FleetDefaultsModel`	!!! abstract "Usage Documentation"
`FleetVehicleModel`	!!! abstract "Usage Documentation"
`HardwareBackendModel`	!!! abstract "Usage Documentation"
`SimBackendModel`	!!! abstract "Usage Documentation"
`FleetDocumentModel`	!!! abstract "Usage Documentation"

Functions#

load_fleet_document(→ FleetDocumentModel)

Module Contents#

class FleetDefaultsModel(/, **data: Any)#

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__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__#: A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__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.

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

auto_launch: bool | None = None#

debug: bool | None = None#

vision_debug: bool | None = None#

debug_vision_node: bool | None = None#

force_camera: bool | None = None#

save_vision_milliseconds: int | None = None#

servo_only: bool | None = None#

camera_mount_offsets: tuple[float, float, float] | None = None#

camera_input_transport: str | None = None#

camera_rotate_degrees: float | None = None#

camera_calibration_file: str | None = None#

camera_preprocess_hook: str | None = None#

network_role: Literal['default', 'ap', 'client'] | None = None#

allowed_ap_vehicles: list[str] | None = None#

ap_selection: Literal['ordered_then_strongest', 'strongest'] | None = None#

classmethod _normalize_allowed_ap_vehicles(value: object) → list[str] | None#

class FleetVehicleModel(/, **data: Any)#

Bases: FleetDefaultsModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__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__#: A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__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.

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

name: str#

controllable: str | None = None#

mission: str | None = None#

mission_path: str | None = None#

kind: Literal['uav', 'payload'] | None = None#

px4_airframe_id: int | None = None#

px4_namespace: str | None = None#

px4_instance: int | None = None#

payload_controller: str | None = None#

airframe: str | None = None#

custom_airframe_model: str | None = None#

model: str | None = None#

sim: bool | None = None#

udp_port: int | None = None#

udp_all_ports: list[int] | None = None#

udp_topics: list[str] | None = None#

udp_broadcast_ip: str | None = None#

udp_peer_ttl: float | None = None#

_require_name() → FleetVehicleModel#

class HardwareBackendModel(/, **data: Any)#

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__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__#: A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__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.

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

kind: Literal['hardware', 'real']#

px4_path: str | None = None#

classmethod _normalize_kind(value: str) → str#

class SimBackendModel(/, **data: Any)#

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__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__#: A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__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.

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

kind: Literal['sim']#

px4_path: str | None = None#

world_name: str#

mission_stage: str | None = None#

middleware_port: int | None = None#

world_overrides: dict[str, Any] | None = None#

_require_world_name() → SimBackendModel#

FleetBackendModel#

class FleetDocumentModel(/, **data: Any)#

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__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__#: A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__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.

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

backend: FleetBackendModel#

defaults: FleetDefaultsModel = None#

vehicles: list[FleetVehicleModel]#

_require_vehicles() → FleetDocumentModel#

load_fleet_document(path: str | pathlib.Path | dict[str, Any]) → FleetDocumentModel#