from minicalo import ConstructionWrapper
from minicalo import G4System as _G4System

import os
import subprocess
from IPython.display import Image, display


class G4System(_G4System):

    def run_visualize(self,particleSpec : str, minEnergy_GeV: float, maxEnergy_GeV:float = -1.):
        if maxEnergy_GeV < 0:
            maxEnergy_GeV = minEnergy_GeV
        #anpassen: run 1 event and get stuff from construction wrapper
        _G4System.run_visualize(self, particleSpec, minEnergy_GeV, maxEnergy_GeV)
        self.displayEvent()

    def run_batch(self, nEvents: int, particleSpec : str, minEnergy_GeV: float, 
                  maxEnergy_GeV:float = -1., outputFile:str = "dataframe.df"):
        if maxEnergy_GeV < 0:
            maxEnergy_GeV = minEnergy_GeV
        _G4System.run_batch(self, nEvents, particleSpec, minEnergy_GeV, maxEnergy_GeV)
        # here conversion from root to pandas dataframe


    def displayEvent(self):
        f_to_conv = max(filter(lambda x: x.endswith(".prim"), os.listdir()),
                    key=os.path.getctime)
        # Convert the .prim file to an eps graphic.
        subprocess.run(["dawn",
                        "-d",
                        f_to_conv],
                       stderr=subprocess.DEVNULL)
        # Convert the eps graphic to png graphic.
        subprocess.run(["gs",
                        "-DEPSCrop", "-dSAFER", "-sDEVICE=png256",
                        "-r600",
                        "-o",
                        "event_raw.png",
                        f_to_conv.replace(".prim", ".eps")],
                       stdout=subprocess.DEVNULL)
        subprocess.run(["convert",
                        "event_raw.png",
                        "-trim",
                        "event.png"
                       ])
        display(Image("event.png", width=500))