from moto.stepfunctions.parser.api import (
    HistoryEventType,
)
from moto.stepfunctions.parser.asl.component.common.parargs import Parameters, Parargs
from moto.stepfunctions.parser.asl.component.common.path.result_path import ResultPath
from moto.stepfunctions.parser.asl.component.state.state import CommonStateField
from moto.stepfunctions.parser.asl.component.state.state_pass.result import Result
from moto.stepfunctions.parser.asl.component.state.state_props import StateProps
from moto.stepfunctions.parser.asl.eval.environment import Environment


class StatePass(CommonStateField):
    def __init__(self):
        super().__init__(
            state_entered_event_type=HistoryEventType.PassStateEntered,
            state_exited_event_type=HistoryEventType.PassStateExited,
        )

        # Result (Optional)
        # Refers to the output of a virtual state_task that is passed on to the next state. If you include the ResultPath
        # field in your state machine definition, Result is placed as specified by ResultPath and passed on to the
        self.result: Result | None = None

        # ResultPath (Optional)
        # Specifies where to place the output (relative to the input) of the virtual state_task specified in Result. The input
        # is further filtered as specified by the OutputPath field (if present) before being used as the state's output.
        self.result_path: ResultPath | None = None

        # Parameters (Optional)
        # Creates a collection of key-value pairs that will be passed as input. You can specify Parameters as a static
        # value or select from the input using a path.
        self.parameters: Parameters | None = None

    def from_state_props(self, state_props: StateProps) -> None:
        super().from_state_props(state_props)
        self.result = state_props.get(Result)
        self.result_path = state_props.get(ResultPath) or ResultPath(
            result_path_src=ResultPath.DEFAULT_PATH
        )
        self.parameters = state_props.get(Parargs)

    def _eval_state(self, env: Environment) -> None:
        if self.parameters:
            self.parameters.eval(env=env)

        if self.result:
            self.result.eval(env=env)

        if not self._is_language_query_jsonpath():
            output_value = env.stack[-1]
            env.states.set_result(output_value)

        if self.assign_decl:
            self.assign_decl.eval(env=env)

        if self.result_path:
            self.result_path.eval(env)
