from app_configs import CONFIGS
from components.structs import PipelineState, TossupPipelineState
from components.typed_dicts import PipelineStateDict, TossupPipelineStateDict
from workflows.structs import TossupWorkflow, Workflow
from workflows.validators import WorkflowValidator


def validate_workflow(
    workflow: TossupWorkflow | Workflow, required_input_vars: list[str], required_output_vars: list[str]
):
    """
    Validate that a workflow is properly configured for the tossup task.

    Args:
        workflow (TossupWorkflow): The workflow to validate

    Raises:
        ValueError: If the workflow is not properly configured
    """
    if not workflow.steps:
        raise ValueError("Workflow must have at least one step")

    # Check that the workflow has the correct structure
    input_vars = set(workflow.inputs)
    for req_var in required_input_vars:
        if req_var not in input_vars:
            raise ValueError(f"Workflow must have '{req_var}' as an input")

    output_vars = set(workflow.outputs)
    for req_var in required_output_vars:
        if req_var not in output_vars:
            raise ValueError(f"Workflow must produce '{req_var}' as an output")

    # Ensure all steps are properly configured
    WorkflowValidator().validate(workflow)


def validate_tossup_workflow(pipeline_state_dict: TossupPipelineStateDict) -> TossupPipelineState:
    pipeline_state = TossupPipelineState(**pipeline_state_dict)
    validate_workflow(
        pipeline_state.workflow,
        CONFIGS["tossup"]["required_input_vars"],
        CONFIGS["tossup"]["required_output_vars"],
    )
    return pipeline_state


def validate_bonus_workflow(pipeline_state_dict: PipelineStateDict):
    pipeline_state = PipelineState(**pipeline_state_dict)
    validate_workflow(
        pipeline_state.workflow,
        CONFIGS["bonus"]["required_input_vars"],
        CONFIGS["bonus"]["required_output_vars"],
    )
    return pipeline_state