pycram.designator#
Exceptions#
Implementation of designator_description errors. |
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Common base class for all non-exit exceptions. |
Classes#
The performable designator_description with a single element for each list of possible parameter. |
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Parent class of location designator_description descriptions. |
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Class for object designator_description descriptions. |
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Helper class that provides a standard way to create an ABC using |
Module Contents#
- exception pycram.designator.DesignatorError(*args, **kwargs)#
Bases:
ExceptionImplementation of designator_description errors.
- exception pycram.designator.ResolutionError(missing_properties: typing_extensions.List[str], wrong_type: typing_extensions.Dict, current_type: typing_extensions.Any, designator: DesignatorDescription)#
Bases:
ExceptionCommon base class for all non-exit exceptions.
- error = Multiline-String#
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""" Some required properties where missing or had the wrong type when grounding the Designator: Uninferable. """
- missing = Multiline-String#
Show Value
"""The missing properties where: Uninferable """
- wrong = Multiline-String#
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"""The properties with the wrong type along with the current -and right type : """
- head = Multiline-String#
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"""Property | Current Type | Right Type ------------------------------------------------------------- """
- tab = ''#
- message = Multiline-String#
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""" Some required properties where missing or had the wrong type when grounding the Designator: Uninferable. """
- class pycram.designator.DesignatorDescription#
- Variables:
resolve – The specialized_designators function to use for this designator_description, defaults to self.ground
- resolve()#
- make_dictionary(properties: typing_extensions.List[str])#
Creates a dictionary of this description with only the given properties included.
- Parameters:
properties – A list of properties that should be included in the dictionary. The given properties have to be an attribute of this description.
- Returns:
A dictionary with the properties as keys.
- ground() typing_extensions.Any#
Should be overwritten with an actual grounding function which infers missing properties.
- get_slots() typing_extensions.List[str]#
- Returns:
a list of all slots of this description. Can be used for inspecting different descriptions and debugging.
- copy() DesignatorDescription#
- get_optional_parameter() typing_extensions.List[str]#
Returns a list of optional parameter names of this designator_description description.
- get_all_parameter() typing_extensions.List[str]#
Returns a list of all parameter names of this designator_description description.
- classmethod get_type_hints() typing_extensions.Dict[str, typing_extensions.Any]#
Returns the type hints of the __init__ method of this designator_description description.
- Returns:
- class pycram.designator.ActionDescription#
Bases:
pycram.has_parameters.HasParametersThe performable designator_description with a single element for each list of possible parameter.
- robot_position: pycram.datastructures.pose.PoseStamped#
The position of the robot at the start of the action.
- robot_torso_height: float#
The torso height of the robot at the start of the action.
- _robot_type: typing_extensions.Type[pycrap.ontologies.Agent]#
The type of the robot at the start of the action.
- _pre_perform_callbacks = []#
List of callback functions that will be called before the action is performed.
- _post_perform_callbacks = []#
List of callback functions that will be called after the action is performed.
- __post_init__()#
- perform() typing_extensions.Any#
Executes the action with the single parameters from the description.
- Returns:
The result of the action in the plan
- abstract plan() typing_extensions.Any#
Plan of the action. To be overridden by subclasses.
- Returns:
The result of the action, if there is any
- abstract validate(result: typing_extensions.Optional[typing_extensions.Any] = None, max_wait_time: typing_extensions.Optional[datetime.timedelta] = None)#
Validate the action after performing it, by checking if the action effects are as expected.
- Parameters:
result – The result of the action if there is any
max_wait_time – The maximum time to wait for the action to be validated, before raising an error.
- classmethod get_type_hints(localns=None) typing_extensions.Dict[str, typing_extensions.Any]#
Returns the type hints of the __init__ method of this designator_description description.
- Returns:
- classmethod pre_perform(func) typing_extensions.Callable#
Decorator to execute the decorated function before performing the action.
- Parameters:
func – The function to be decorated.
- Returns:
The decorated function.
- classmethod post_perform(func) typing_extensions.Callable#
Decorator to execute the decorated function after performing the action.
- Parameters:
func – The function to be decorated.
- Returns:
The decorated function.
- classmethod description(*args, **kwargs) pycram.datastructures.partial_designator.PartialDesignator[typing_extensions.Self]#
- Abstractmethod:
- __str__()#
- __repr__()#
- _update_robot_params(action: ActionDescription)#
- class pycram.designator.LocationDesignatorDescription#
Bases:
DesignatorDescription,pycram.datastructures.partial_designator.PartialDesignatorParent class of location designator_description descriptions.
- abstract ground() pycram.datastructures.pose.PoseStamped#
Find a location that satisfies all constrains.
- class pycram.designator.ObjectDesignatorDescription(names: typing_extensions.Optional[typing_extensions.List[str]] = None, types: typing_extensions.Optional[typing_extensions.List[typing_extensions.Type[pycrap.ontologies.PhysicalObject]]] = None)#
Bases:
DesignatorDescription,pycram.datastructures.partial_designator.PartialDesignatorClass for object designator_description descriptions. Descriptions hold possible parameter ranges for object designators.
- types: typing_extensions.Optional[typing_extensions.List[pycram.datastructures.enums.ObjectType]] = None#
- names: typing_extensions.Optional[typing_extensions.List[str]] = None#
- ground() pycram.world_concepts.world_object.Object#
Return the first object from the world that fits the description.
- Returns:
A executed object designator_description
- __iter__() typing_extensions.Iterator[pycram.world_concepts.world_object.Object]#
Iterate through all possible objects fitting this description
- Yield:
A executed object designator_description
- flatten() typing_extensions.List#