import formulas

def compile_xlsx_to_function(filepath: str, input_range: str, output_range: str):
    """Compile an Excel workbook into a callable Python function."""
    xl_model = formulas.ExcelModel().loads(filepath).finish()

    # Get full dependency graph
    solution = xl_model.calculate()

    # Compile reusable function
    func = xl_model.compile(
        inputs=[input_range],
        outputs=[output_range],
    )
    return func, solution

# Usage:
func, solution = compile_xlsx_to_function(
    "pile_capacity.xlsx",
    "'Inputs'!B2:B15",
    "'Results'!C5:C10",
)

# The solution dict contains all computed values — use as test assertions
expected = solution["'Results'!C5"]

# Requires: uv add formulas[plot]
xl_model = formulas.ExcelModel().loads("calculation.xlsx").finish()
xl_model.calculate()
# Access the internal dispatcher for graph analysis
dsp = xl_model.dsp
dsp.plot()  # matplotlib visualization