heros.datasource.observables ============================ .. py:module:: heros.datasource.observables Classes ------- .. autoapisummary:: heros.datasource.observables.BoundaryChecker heros.datasource.observables.Converter heros.datasource.observables.Observable heros.datasource.observables.ObservableProcessor Functions --------- .. autoapisummary:: heros.datasource.observables.lambdify Module Contents --------------- .. py:function:: lambdify(expression: str, globals_dict: dict | None = None) Turn a string into a lambda function with the given globals. By default it enables a set of numpy functions in the expression. Further functions can be added by providing it in ``globals_dict``. .. py:class:: BoundaryChecker(boundaries: list) Check whether the observed value is in it's boundaries. Therefore provide an integer feedback with rising importance where boundary = 0 says that everything is fine. 1, 2, 3 correspond to higher warning / error or fault situations. .. py:attribute:: boundaries .. py:method:: _check_bounds(value) .. py:method:: __call__(return_value: heros.datasource.types.DatasourceReturnValue) .. py:class:: Converter(conversion_code: str, unit: Optional[str] = None) .. py:attribute:: _conversion_code .. py:attribute:: _convert_lambda .. py:attribute:: _unit :value: None .. py:method:: __call__(return_value: heros.datasource.types.DatasourceReturnValue) .. py:class:: Observable(id, definition: dict) .. py:attribute:: _id .. py:attribute:: definition .. py:attribute:: _boundary_checker .. py:attribute:: _converter .. py:property:: id .. py:method:: process(return_value: heros.datasource.types.DatasourceReturnValue) .. py:class:: ObservableProcessor(obs_def: dict) An ObservableProcessor takes a configuration dict for multiple observables when it is instantiated. An object of this class can be called with a :class:DataSourceReturnSet as an argument. .. py:attribute:: observables .. py:attribute:: observables_ids .. py:method:: __call__(datasource_return_set)