mazda-upload.py 5.8 KB

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  1. import pandas as pd
  2. import json
  3. import requests
  4. from requests_oauthlib import OAuth2Session
  5. from oauthlib.oauth2 import BackendApplicationClient
  6. from datetime import datetime
  7. domain = 'https://mappsacc.mazdaeur.com'
  8. # domain = 'https://mapps.mazdaeur.com' # Production Server
  9. webservice = domain + '/dogma-restapi-dms/api'
  10. module = '/vehicles/workshop/order-report'
  11. auth_url = domain + '/oauth/authorize'
  12. token_url = domain + '/oauth/token'
  13. client_id = 'E7FC943B-B73F-F48E-B71A-419EA4CD4AC7'
  14. api_key = '^bH=rk@c58zrr^Apc#9fzy$c'
  15. username = 'mmd88888.cdk'
  16. password = 'Der neue MX-30'
  17. dealer_number = '11197/MMD' # Example '10030/MMD'
  18. # token = 'MDDq3CUd9ix0iSqR'
  19. base_dir = 'C:/Projekte/Python/mazda/'
  20. def date_format(d):
  21. return d.isoformat() + "Z"
  22. def convert_csv(csv_file, json_file):
  23. date_cols = ['invoiceDate', 'orderDate', 'orderCompletionDate', 'vehicleIntakeDate', 'nextMotDueDate']
  24. df = pd.read_csv(csv_file, encoding='ansi', decimal=',', sep=';', parse_dates=date_cols)
  25. # print(df[['currency','documentType','invoiceCategory','invoiceDate','invoiceNumber']].drop_duplicates().info())
  26. invoices = df[['currency', 'documentType', 'invoiceCategory', 'invoiceDate', 'invoiceNumber']].drop_duplicates().to_dict('records')
  27. invoice_items = df[['invoiceNumber', 'orderLineNumber', 'orderNumber', 'amount', 'discount', 'portion', 'unitPrice']].groupby('invoiceNumber')
  28. for invoice in invoices:
  29. invoice['invoiceDate'] = date_format(invoice['invoiceDate'])
  30. items = invoice_items.get_group(invoice['invoiceNumber'])
  31. items.pop('invoiceNumber')
  32. invoice['invoiceItems'] = items.to_dict('records')
  33. orders = df[['orderNumber', 'orderDate', 'orderCompletionDate', 'vehicleIntakeDate']].drop_duplicates().to_dict('records')
  34. orders_vehicle = df[['orderNumber', 'licensePlate', 'nextMotDueDate', 'odometer', 'odometerUnit', 'vin']].drop_duplicates().groupby('orderNumber')
  35. orders_items = df[[
  36. 'orderNumber', 'lineNumber',
  37. 'category', 'description', 'hours', 'operationCode', 'standardHours',
  38. 'description.1', 'type',
  39. 'description.2', 'isDamageCausal', 'manufacturer', 'partNumber', 'quantity', 'serialNumber', 'unit',
  40. 'company', 'description.3', 'invoiceCode', 'invoiceDate', 'invoiceNumber'
  41. ]].drop_duplicates().groupby('orderNumber')
  42. for order in orders:
  43. order['vehicle'] = orders_vehicle.get_group(order['orderNumber']).to_dict('records')[0]
  44. order['vehicle']['nextMotDueDate'] = date_format(order['vehicle']['nextMotDueDate'])
  45. order['orderDate'] = date_format(order['orderDate'])
  46. order['orderCompletionDate'] = date_format(order['orderCompletionDate'])
  47. order['vehicleIntakeDate'] = date_format(order['vehicleIntakeDate'])
  48. items = orders_items.get_group(order['orderNumber']).to_dict('records')
  49. order['items'] = []
  50. for item in items:
  51. order['items'].append({
  52. 'lineNumber': item['lineNumber'],
  53. 'operation': {
  54. 'category': item['category'],
  55. 'description': item['description'],
  56. 'hours': item['hours'],
  57. 'operationCode': item['operationCode'],
  58. 'standardHours': item['standardHours']
  59. },
  60. 'other': {
  61. 'description': item['description.1'],
  62. 'type': item['type']
  63. },
  64. 'part': {
  65. 'description': item['description.2'],
  66. 'isDamageCausal': item['isDamageCausal'],
  67. 'manufacturer': item['manufacturer'],
  68. 'partNumber': item['partNumber'],
  69. 'quantity': item['quantity'],
  70. 'serialNumber': item['serialNumber'],
  71. 'unit': item['unit']
  72. },
  73. 'purchaseInvoice': {
  74. 'company': item['company'],
  75. 'description': item['description.3'],
  76. 'invoiceCode': item['invoiceCode'],
  77. 'invoiceDate': date_format(item['invoiceDate']),
  78. 'invoiceNumber': item['invoiceNumber']
  79. }
  80. })
  81. date_min = str(df['invoiceDate'].min()) + 'T00:00:00.000Z'
  82. date_max = str(df['invoiceDate'].max()) + 'T00:00:00.000Z'
  83. res = {
  84. 'creationDate': str(datetime.now()),
  85. 'invoices': invoices,
  86. 'orders': orders,
  87. 'timeRangeBegin': date_min,
  88. 'timeRangeEnd': date_max
  89. }
  90. json.dump(res, open(json_file, 'w'), indent=2)
  91. return res
  92. def upload(data):
  93. headers = {
  94. 'accept': 'application/vnd.mazdaeur.dms.v3+json',
  95. 'x-mme-organisation': dealer_number,
  96. 'X-mazda-org': dealer_number,
  97. 'Content-Type': 'application/json',
  98. # 'Authorization': 'Bearer ' + token
  99. }
  100. # client = BackendApplicationClient(client_id=client_id)
  101. oauth = OAuth2Session(client=client_id)
  102. authorization_url, state = oauth.authorization_url(auth_url)
  103. print('Please go here and authorize: ' + authorization_url)
  104. redirect_response = input('Paste the full redirect URL here:')
  105. token = oauth.fetch_token(token_url=auth_url, client_id=client_id, client_secret=api_key, authorization_response=redirect_response)
  106. # s = requests.Session()
  107. # s.auth = (username, password)
  108. # s.headers.update(headers)
  109. # r = s.post(webservice + module, data=data)
  110. r = s.get(auth_url + '?response_type=code&client_id=globalcube&state=xyz&scope=write', token)
  111. print(r.text)
  112. r = s.post(token_url, data={'grant_type': 'authorization_code', 'code': ''})
  113. print(r.text)
  114. def main():
  115. # data = convert_csv(base_dir + 'Workshop_Order_Report.csv', base_dir + 'mazda_export.json')
  116. data = json.load(open(base_dir + 'mazda_export.json', 'r'))
  117. upload(data)
  118. if __name__ == '__main__':
  119. main()