import argparse
import os
import shutil
import subprocess
# import configparser
# import json

"""
Dieses Programm holt sich aus
- RD Fusion eine aktuellen Stand der exisitierenden IDS 
- Sivas eine Liste der gewünschten Teile

"""
def get_rd_database(inPath, outDir, outFileName):
    if os.path.isfile(inPath):

        outFilePath = os.path.join(outDir, outFileName)
        if os.path.isdir(outDir):
            shutil.copyfile(inPath, outFilePath)
        else:
            print(f"no such directory ${outDir} of env CREMIG_DATA")
        print("done")
    else:
        print(f"no such file ${inPath} of environment variable RD_DATABASE_SOURCE. have a look at cremig_setenv.bat")


def get_sivas_databse(exePath, sivasId, outFilePath):
    if os.path.isfile(exePath):
        
        if os.path.isdir(outDir):
            #subprocess.Popen([exePath, "-o", outDir, "--format json", "-number", sivasId ])
            cmd = ' '.join([exePath, "-o", outDir, "--format json", "-number", sivasId ])
            os.system(cmd)
        else:
            print(f"no such executable ${outDir}  of env CREMIG_DATA")
        if os.path.isfile(outFilePath):
            print("done")
        else:
            print("failure - did not get .json file")
    else:
        print(f"no such file ${exePath} of environment variable SIVAS_DATABASE_QUERY. have a look at cremig_setenv.bat")

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='fetches data from sivas or ruledesigner fusion', prog='update_database')
    parser.add_argument('-s', '--sivas', action='store', help='fetch data of this id from sivas fo local database folder')
    parser.add_argument('-r', '--rd', action='store_true', help='fetch list of existing parts from network drive')

    args = parser.parse_args()

    outDir = os.environ.get('CREMIG_DATA')
    if args.rd:
        inPath = os.environ.get('RD_DATABASE_SOURCE')
        outFileName = "RD_Bestandspool.csv"
        get_rd_database(inPath, outDir, outFileName)


    if args.sivas:
        exePath = os.environ.get('SIVAS_DATABASE_QUERY')
        sivasId = str(args.sivas)
        outFilePath = os.path.join(outDir, sivasId + ".json")
        get_sivas_databse(exePath, sivasId, outFilePath)