def __init__()

in src/stepfunctions/steps/states.py [0:0]

• 11 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self, state_id, state_type, output_schema=None, **kwargs):
        """
        Args:
            state_id (str): State name whose length **must be** less than or equal to 128 unicode characters. State names **must be** unique within the scope of the whole state machine.
            state_type (str): Type of the state. (Allowed values: `'Pass'`, `'Succeed'`, `'Fail'`, `'Wait'`, `'Task'`, `'Choice'`, `'Parallel'`, `'Map'`).
            output_schema (dict): Expected output schema for the State. This is used to validate placeholder inputs used by the next state in the state machine. (default: None)
            comment (str, optional): Human-readable comment or description. (default: None)
            input_path (str, optional): Path applied to the state’s raw input to select some or all of it; that selection is used by the state. (default: '$')
            parameters (dict, optional): The value of this field becomes the effective input for the state.
            result_path (str, optional): Path specifying the raw input’s combination with or replacement by the state’s result. (default: '$')
            output_path (str, optional): Path applied to the state’s output after the application of `result_path`, producing the effective output which serves as the raw input for the next state. (default: '$')
        """
        super(State, self).__init__(**kwargs)
        self.fields['type'] = state_type

        self.state_type = state_type
        self.state_id = state_id
        self.output_schema = output_schema
        self.step_output = StepInput(schema=output_schema)
        self.retries = []
        self.catches = []
        self.next_step = None
        self.in_chain = None