skr51.py 3.8 KB

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  1. import pandas as pd
  2. # import numpy as np
  3. from pathlib import Path
  4. class skr51_validation():
  5. current_dir = Path('C:/Projekte/Python/SKR51')
  6. def __init__(self):
  7. filter_csv = pd.read_csv(self.current_dir.joinpath('SKR51_Kostenrechnungsmerkmale.csv'),
  8. sep=';', quotechar='"') # , encoding='latin-1')
  9. filter_csv['Filter'] = filter_csv['Filter'].apply(self.create_list)
  10. self.filter = filter_csv.set_index('Block').to_dict(orient='dict')['Filter']
  11. # print(self.filter)
  12. explode_cols = ['Kostenstelle', 'Absatzkanal', 'Kostenträger']
  13. matrix_csv = pd.read_csv(self.current_dir.joinpath('Plausibilitaetsmatrix.csv'), sep=';',
  14. converters={i: str for i in range(0, 200)}) # , encoding='latin-1' .set_index('Konto_Nr')
  15. matrix_csv['valid'] = True
  16. for col in explode_cols:
  17. matrix_csv[col] = matrix_csv[col].apply(self.create_list)
  18. self.matrix = matrix_csv
  19. # self.matrix['Kostenstelle'] = matrix_csv[['Konto_Nr', 'Kostenstelle', 'valid']].explode('Kostenstelle')
  20. # print(self.matrix[self.matrix['Konto_Nr'] == '3300'])
  21. def create_list(self, whitelist):
  22. if whitelist == '':
  23. return [str(i).zfill(2) for i in range(0, 100)]
  24. result = []
  25. for x in whitelist.split(','):
  26. if '-' in x:
  27. result += [str(i).zfill(2) for i in range(int(x.split('-')[0]), int(x.split('-')[1]) + 1)]
  28. else:
  29. result.append(x)
  30. return result
  31. def check_bookings(self, bookings_file):
  32. export_csv = pd.read_csv(self.current_dir.joinpath(bookings_file), sep=';', decimal=',',
  33. converters={i: str for i in range(0, 200)}, encoding='latin-1')
  34. export_csv = export_csv.merge(self.matrix[['Konto_Nr', 'valid']], how='left', on='Konto_Nr', suffixes=(None, '_matrix'))
  35. export_csv['Konto_Nr_valid'] = export_csv['valid'] == True
  36. temp = export_csv['Konto_Nr_Händler']
  37. export_csv.drop(['Konto_Nr_Händler'], axis=1, inplace=True)
  38. export_csv.insert(0, 'Konto_Nr_Händler', temp)
  39. for col in ['Marke', 'Standort']:
  40. export_csv[col + '_valid'] = export_csv[col].isin(self.filter[col])
  41. export_csv['valid'] = export_csv['valid'] & export_csv[col + '_valid']
  42. for col in ['Kostenstelle', 'Absatzkanal', 'Kostenträger']:
  43. export_csv = export_csv.merge(self.matrix[['Konto_Nr', col, 'valid']].explode(col),
  44. how='left', on=['Konto_Nr', col], suffixes=(None, '_' + col))
  45. export_csv[col + '_valid'] = export_csv[col].isin(self.filter[col]) & export_csv['valid_' + col] == True
  46. export_csv.drop(['valid_' + col], axis=1, inplace=True)
  47. export_csv['valid'] = export_csv['valid'] & export_csv[col + '_valid']
  48. return export_csv
  49. @staticmethod
  50. def format_konto(k):
  51. return f"{k['Kontonummer']}-{k['Marke']}-{k['Standort']}-{k['Kostenstelle']}-{k['Absatzkanal']}-{k['Kostentraeger']}"
  52. @staticmethod
  53. def format_konto_neu(k):
  54. return f"{k['Kontonummer_neu']}-{k['Marke_neu']}-{k['Standort_neu']}-{k['Kostenstelle_neu']}-{k['Absatzkanal_neu']}-{k['Kostentraeger_neu']}"
  55. if __name__ == '__main__':
  56. skr = skr51_validation()
  57. df = skr.check_bookings('Kontenrahmen_kombiniert.csv')
  58. df[['Konto_Nr_Händler', 'Marke', 'Marke_valid', 'Standort', 'Standort_valid', 'Konto_Nr', 'Konto_Nr_valid',
  59. 'Kostenstelle', 'Kostenstelle_valid', 'Absatzkanal', 'Absatzkanal_valid', 'Kostenträger', 'Kostenträger_valid',
  60. 'Kostenträger_Ebene', 'valid']].to_csv(skr.current_dir.joinpath('SKR51_Validierung.csv'), sep=';', encoding='latin-1', index=False)