import sys
import pandas as pd

redelacXlsxInputFile = sys.argv[1]
redelacUSMsOutputFile = sys.argv[2]
redelacTecOutputFile = sys.argv[3]
redelacIniOutputFile = sys.argv[4]
redelacStationOutputFile = sys.argv[5]
redelacListe_plantesOutputFile = sys.argv[6]

# loading

USMsPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='USMs', keep_default_na=False, na_filter = False)
TecPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Tec')
IniPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Ini')
StationPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Station')
Liste_plantesPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Liste_plantes')

# sanityzing

julCol = [x for x in TecPdf.columns if x.startswith('jul')]

TecPdf[julCol] = TecPdf[julCol].astype('Int64')

USMsPdf['fclim1'] = USMsPdf['fclim1'].astype('string')
USMsPdf['fclim2'] = USMsPdf['fclim1'].astype('string')
USMsPdf['rcp'] = USMsPdf['rcp'].astype('string')

USMsPdf['Début'] = pd.to_datetime(USMsPdf['Début'], dayfirst = True)
USMsPdf['Fin'] = pd.to_datetime(USMsPdf['Fin'], dayfirst = True)

USMsPdf.loc[USMsPdf['culturean'] != 1, 'culturean'] = 0

# saving to csv

USMsPdf.to_csv(redelacUSMsOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)
TecPdf.to_csv(redelacTecOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', float_format='%.2f', index=False)
IniPdf.to_csv(redelacIniOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)
StationPdf.to_csv(redelacStationOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)
Liste_plantesPdf.to_csv(redelacListe_plantesOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)