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【odoo15】如何使用 python xmlrpc 连接 odoo_ndd379.xyz

ndd379.xyz

odoo这个开源ERP,允许外界使用xmlrpc远程过程调用,实现增删改查。

连接odoo代码:【 xmlrpc/2/common 提供无需身份验证的元调用。

  1. import xmlrpc.client
  2. from pprint import pprint
  3. url = 'http://127.0.0.1:8069'
  4. db = 'fxl'
  5. username = 'fxl'
  6. password = 'fxl'
  7. def common_version():
  8. # provides meta-calls which don’t require authentication
  9. common = xmlrpc.client.ServerProxy('{}/xmlrpc/2/common'.format(url))
  10. common.version()
  11. print(common.version())
  12. return common
  13. common_version()

url:数据库连接  db:数据库名   usr与psd:数据库账号密码


  1. def get_uid():
  2. # Logging in
  3. common = common_version()
  4. uid = common.authenticate(db, username, password, {})
  5. print('uid:', uid)
  6. return uid
  7. get_uid()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2

取到我们现在的UID为2


  1. def endpoint_object():
  2. # is used to call methods of odoo models via the execute_kw RPC function.
  3. return xmlrpc.client.ServerProxy('{}/xmlrpc/2/object'.format(url))
  4. def call_check_access_rights():
  5. # Calling methods
  6. models = endpoint_object()
  7. uid = get_uid()
  8. data = models.execute_kw(db, uid, password,
  9. 'res.partner', 'check_access_rights',
  10. ['read'], {'raise_exception': False})
  11. print(data)
  12. call_check_access_rights()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. True

  这里我们要确定一下有没有res.partner的read权限,看返回值:【TRUE】


  1. def list_all_records():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # List all records
  5. records_data = models.execute_kw(db, uid, password,
  6. 'res.partner', 'search',[[]])
  7. print(records_data)
  8. list_all_records()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. [3, 1, 8, 9, 13, 11, 7, 12, 10]

使用‘[ [ ] ]’写法,就是把res.partner里边所有的ID都取出来。


  1. def list_records():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # List records
  5. records_data = models.execute_kw(db, uid, password,
  6. 'res.partner', 'search',
  7. [['is_company', '=', True]])
  8. print(records_data)
  9. list_records()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. [1, 9]

筛选出 is_company = True 的id为【1,9】


  1. def count_records():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Count records
  5. records_count = models.execute_kw(db, uid, password,
  6. 'res.partner', 'search_count',
  7. [[['is_company', '=', True]]])
  8. print(records_count)
  9. count_records()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. 2

使用count计数 找出筛选的id数为2


  1. def read_records():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Read records
  5. ids = models.execute_kw(db, uid, password,
  6. 'res.partner', 'search',
  7. [[['is_company', '=', True]]],
  8. {'limit': 1})
  9. print('ids:', ids)
  10. return ids
  11. read_records()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. ids: [1]

使用 limit=1 一次只读一个


  1. def read_all_field():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Read records ids
  5. ids = read_records()
  6. # all field
  7. record = models.execute_kw(db, uid, password,
  8. 'res.partner', 'read', [ids])
  9. print('record')
  10. pprint(record)
  11. read_all_field()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. ids: [1]
  4. record
  5. [{'__last_update': '2022-05-18 03:25:00',
  6. 'active': True,
  7. 'active_lang_count': 2,
  8. 'activity_date_deadline': False,
  9. 'activity_exception_decoration': False,
  10. 'activity_exception_icon': False,
  11. 'activity_ids': [],
  12. 'activity_state': False,
  13. 'activity_summary': False,
  14. 'activity_type_icon': False,
  15. 'activity_type_id': False,
  16. 'activity_user_id': False,
  17. 'additional_info': False,
  18. 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',
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',
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',
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',
  23. 'bank_account_count': 0,
  24. 'bank_ids': [],
  25. 'barcode': False,
  26. 'category_id': [],
  27. 'channel_ids': [],
  28. 'child_ids': [],
  29. 'city': '',
  30. 'color': 0,
  31. 'comment': False,
  32. 'commercial_company_name': 'My Company',
  33. 'commercial_partner_id': [1, 'My Company'],
  34. 'company_id': False,
  35. 'company_name': False,
  36. 'company_type': 'company',
  37. 'contact_address': 'My Company\nChina, \n ',
  38. 'contract_ids': [],
  39. 'country_code': 'CN',
  40. 'country_id': [48, 'China'],
  41. 'create_date': '2022-05-17 09:40:31',
  42. 'create_uid': False,
  43. 'credit': 0.0,
  44. 'credit_limit': 0.0,
  45. 'currency_id': [7, 'CNY'],
  46. 'customer_rank': 0,
  47. 'date': False,
  48. 'debit': 0.0,
  49. 'debit_limit': 0.0,
  50. 'display_name': 'My Company',
  51. 'email': False,
  52. 'email_formatted': '',
  53. 'email_normalized': False,
  54. 'employee': False,
  55. 'function': False,
  56. 'has_message': False,
  57. 'has_unreconciled_entries': False,
  58. 'id': 1,
  59. 'im_status': 'im_partner',
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',
  61. 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',
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',
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',
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',
  65. 'industry_id': False,
  66. 'invoice_ids': [],
  67. 'invoice_warn': 'no-message',
  68. 'invoice_warn_msg': False,
  69. 'is_blacklisted': False,
  70. 'is_company': True,
  71. 'journal_item_count': 0,
  72. 'lang': 'zh_CN',
  73. 'last_time_entries_checked': False,
  74. 'message_attachment_count': 0,
  75. 'message_bounce': 0,
  76. 'message_follower_ids': [],
  77. 'message_has_error': False,
  78. 'message_has_error_counter': 0,
  79. 'message_has_sms_error': False,
  80. 'message_ids': [],
  81. 'message_is_follower': False,
  82. 'message_main_attachment_id': False,
  83. 'message_needaction': False,
  84. 'message_needaction_counter': 0,
  85. 'message_partner_ids': [],
  86. 'message_unread': False,
  87. 'message_unread_counter': 0,
  88. 'mobile': False,
  89. 'mobile_blacklisted': False,
  90. 'my_activity_date_deadline': False,
  91. 'name': 'My Company',
  92. 'on_time_rate': -1.0,
  93. 'parent_id': False,
  94. 'parent_name': False,
  95. 'partner_gid': 0,
  96. 'partner_latitude': 0.0,
  97. 'partner_longitude': 0.0,
  98. 'partner_share': True,
  99. 'payment_token_count': 0,
  100. 'payment_token_ids': [],
  101. 'phone': 'fxl',
  102. 'phone_blacklisted': False,
  103. 'phone_mobile_search': False,
  104. 'phone_sanitized': 'fxl',
  105. 'phone_sanitized_blacklisted': False,
  106. 'picking_warn': 'no-message',
  107. 'picking_warn_msg': False,
  108. 'property_account_payable_id': [41, '220200 Accounts Payable'],
  109. 'property_account_position_id': False,
  110. 'property_account_receivable_id': [5, '112200 Accounts Receivable'],
  111. 'property_payment_term_id': False,
  112. 'property_product_pricelist': [1, 'Public Pricelist (CNY)'],
  113. 'property_purchase_currency_id': False,
  114. 'property_stock_customer': [13, 'Physical Locations/Inter-warehouse transit'],
  115. 'property_stock_supplier': [13, 'Physical Locations/Inter-warehouse transit'],
  116. 'property_supplier_payment_term_id': False,
  117. 'purchase_line_ids': [],
  118. 'purchase_order_count': 0,
  119. 'purchase_warn': 'no-message',
  120. 'purchase_warn_msg': False,
  121. 'receipt_reminder_email': False,
  122. 'ref': False,
  123. 'ref_company_ids': [1],
  124. 'reminder_date_before_receipt': 1,
  125. 'sale_order_count': 0,
  126. 'sale_order_ids': [],
  127. 'sale_warn': 'no-message',
  128. 'sale_warn_msg': False,
  129. 'same_vat_partner_id': False,
  130. 'self': [1, 'My Company'],
  131. 'signup_expiration': False,
  132. 'signup_token': False,
  133. 'signup_type': False,
  134. 'signup_url': False,
  135. 'signup_valid': False,
  136. 'state_id': False,
  137. 'street': '',
  138. 'street2': False,
  139. 'supplier_invoice_count': 0,
  140. 'supplier_rank': 0,
  141. 'team_id': False,
  142. 'title': False,
  143. 'total_invoiced': 0.0,
  144. 'trust': 'normal',
  145. 'type': 'contact',
  146. 'tz': False,
  147. 'tz_offset': '+0000',
  148. 'user_id': False,
  149. 'user_ids': [],
  150. 'vat': False,
  151. 'website': False,
  152. 'website_message_ids': [],
  153. 'write_date': '2022-05-18 03:25:00',
  154. 'write_uid': [2, 'Administrator'],
  155. 'zip': ''}]

把此元素的所有资料全部捞出来


  1. def read_need_field():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Read records ids
  5. ids = read_records()
  6. # need field
  7. record = models.execute_kw(db, uid, password,
  8. 'res.partner', 'read',
  9. [ids], {'fields': ['name', 'country_id', 'comment']})
  10. print('record')
  11. pprint(record)
  12. read_need_field()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. ids: [1]
  4. record
  5. [{'comment': False, 'country_id': [48, 'China'], 'id': 1, 'name': 'My Company'}]

只取我们需要的field  【'name',  'country_id',  'comment'】这三个字段


  1. def listing_record_fields_attributes():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Listing record fields attributes
  5. listing_record_fields = models.execute_kw(
  6. db, uid, password, 'res.partner', 'fields_get',
  7. [], {'attributes': ['string', 'help', 'type']})
  8. print('Listing record fields')
  9. pprint(listing_record_fields)
  10. listing_record_fields_attributes()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. Listing record fields
  4. {'__last_update': {'string': 'Last Modified on', 'type': 'datetime'},
  5. 'active': {'string': 'Active', 'type': 'boolean'},
  6. 'active_lang_count': {'string': 'Active Lang Count', 'type': 'integer'},
  7. 'activity_date_deadline': {'string': 'Next Activity Deadline', 'type': 'date'},
  8. 'activity_exception_decoration': {'help': 'Type of the exception activity on '
  9. 'record.',
  10. 'string': 'Activity Exception Decoration',
  11. 'type': 'selection'},
  12. 'activity_exception_icon': {'help': 'Icon to indicate an exception activity.',
  13. 'string': 'Icon',
  14. 'type': 'char'},
  15. 'activity_ids': {'string': 'Activities', 'type': 'one2many'},
  16. 'activity_state': {'help': 'Status based on activities\n'
  17. 'Overdue: Due date is already passed\n'
  18. 'Today: Activity date is today\n'
  19. 'Planned: Future activities.',
  20. 'string': 'Activity State',
  21. 'type': 'selection'},
  22. 'activity_summary': {'string': 'Next Activity Summary', 'type': 'char'},
  23. 'activity_type_icon': {'help': 'Font awesome icon e.g. fa-tasks',
  24. 'string': 'Activity Type Icon',
  25. 'type': 'char'},
  26. 'activity_type_id': {'string': 'Next Activity Type', 'type': 'many2one'},
  27. 'activity_user_id': {'string': 'Responsible User', 'type': 'many2one'},
  28. 'additional_info': {'string': 'Additional info', 'type': 'char'},
  29. 'avatar_1024': {'string': 'Avatar 1024', 'type': 'binary'},
  30. 'avatar_128': {'string': 'Avatar 128', 'type': 'binary'},
  31. 'avatar_1920': {'string': 'Avatar', 'type': 'binary'},
  32. 'avatar_256': {'string': 'Avatar 256', 'type': 'binary'},
  33. 'avatar_512': {'string': 'Avatar 512', 'type': 'binary'},
  34. 'bank_account_count': {'string': 'Bank', 'type': 'integer'},
  35. 'bank_ids': {'string': 'Banks', 'type': 'one2many'},
  36. 'barcode': {'help': 'Use a barcode to identify this contact.',
  37. 'string': 'Barcode',
  38. 'type': 'char'},
  39. 'category_id': {'string': 'Tags', 'type': 'many2many'},
  40. 'channel_ids': {'string': 'Channels', 'type': 'many2many'},
  41. 'child_ids': {'string': 'Contact', 'type': 'one2many'},
  42. 'city': {'string': 'City', 'type': 'char'},
  43. 'color': {'string': 'Color Index', 'type': 'integer'},
  44. 'comment': {'string': 'Notes', 'type': 'html'},
  45. 'commercial_company_name': {'string': 'Company Name Entity', 'type': 'char'},
  46. 'commercial_partner_id': {'string': 'Commercial Entity', 'type': 'many2one'},
  47. 'company_id': {'string': 'Company', 'type': 'many2one'},
  48. 'company_name': {'string': 'Company Name', 'type': 'char'},
  49. 'company_type': {'string': 'Company Type', 'type': 'selection'},
  50. 'contact_address': {'string': 'Complete Address', 'type': 'char'},
  51. 'contract_ids': {'string': 'Partner Contracts', 'type': 'one2many'},
  52. 'country_code': {'help': 'The ISO country code in two chars. \n'
  53. 'You can use this field for quick search.',
  54. 'string': 'Country Code',
  55. 'type': 'char'},
  56. 'country_id': {'string': 'Country', 'type': 'many2one'},
  57. 'create_date': {'string': 'Created on', 'type': 'datetime'},
  58. 'create_uid': {'string': 'Created by', 'type': 'many2one'},
  59. 'credit': {'help': 'Total amount this customer owes you.',
  60. 'string': 'Total Receivable',
  61. 'type': 'monetary'},
  62. 'credit_limit': {'string': 'Credit Limit', 'type': 'float'},
  63. 'currency_id': {'help': 'Utility field to express amount currency',
  64. 'string': 'Currency',
  65. 'type': 'many2one'},
  66. 'customer_rank': {'string': 'Customer Rank', 'type': 'integer'},
  67. 'date': {'string': 'Date', 'type': 'date'},
  68. 'debit': {'help': 'Total amount you have to pay to this vendor.',
  69. 'string': 'Total Payable',
  70. 'type': 'monetary'},
  71. 'debit_limit': {'string': 'Payable Limit', 'type': 'monetary'},
  72. 'display_name': {'string': 'Display Name', 'type': 'char'},
  73. 'email': {'string': 'Email', 'type': 'char'},
  74. 'email_formatted': {'help': 'Format email address "Name <email@domain>"',
  75. 'string': 'Formatted Email',
  76. 'type': 'char'},
  77. 'email_normalized': {'help': 'This field is used to search on email address '
  78. 'as the primary email field can contain more '
  79. 'than strictly an email address.',
  80. 'string': 'Normalized Email',
  81. 'type': 'char'},
  82. 'employee': {'help': 'Check this box if this contact is an Employee.',
  83. 'string': 'Employee',
  84. 'type': 'boolean'},
  85. 'function': {'string': 'Job Position', 'type': 'char'},
  86. 'has_message': {'string': 'Has Message', 'type': 'boolean'},
  87. 'has_unreconciled_entries': {'help': 'The partner has at least one '
  88. 'unreconciled debit and credit since '
  89. 'last time the invoices & payments '
  90. 'matching was performed.',
  91. 'string': 'Has Unreconciled Entries',
  92. 'type': 'boolean'},
  93. 'id': {'string': 'ID', 'type': 'integer'},
  94. 'im_status': {'string': 'IM Status', 'type': 'char'},
  95. 'image_1024': {'string': 'Image 1024', 'type': 'binary'},
  96. 'image_128': {'string': 'Image 128', 'type': 'binary'},
  97. 'image_1920': {'string': 'Image', 'type': 'binary'},
  98. 'image_256': {'string': 'Image 256', 'type': 'binary'},
  99. 'image_512': {'string': 'Image 512', 'type': 'binary'},
  100. 'industry_id': {'string': 'Industry', 'type': 'many2one'},
  101. 'invoice_ids': {'string': 'Invoices', 'type': 'one2many'},
  102. 'invoice_warn': {'help': 'Selecting the "Warning" option will notify user '
  103. 'with the message, Selecting "Blocking Message" will '
  104. 'throw an exception with the message and block the '
  105. 'flow. The Message has to be written in the next '
  106. 'field.',
  107. 'string': 'Invoice',
  108. 'type': 'selection'},
  109. 'invoice_warn_msg': {'string': 'Message for Invoice', 'type': 'text'},
  110. 'is_blacklisted': {'help': 'If the email address is on the blacklist, the '
  111. "contact won't receive mass mailing anymore, from "
  112. 'any list',
  113. 'string': 'Blacklist',
  114. 'type': 'boolean'},
  115. 'is_company': {'help': 'Check if the contact is a company, otherwise it is a '
  116. 'person',
  117. 'string': 'Is a Company',
  118. 'type': 'boolean'},
  119. 'journal_item_count': {'string': 'Journal Items', 'type': 'integer'},
  120. 'lang': {'help': 'All the emails and documents sent to this contact will be '
  121. 'translated in this language.',
  122. 'string': 'Language',
  123. 'type': 'selection'},
  124. 'last_time_entries_checked': {'help': 'Last time the invoices & payments '
  125. 'matching was performed for this '
  126. "partner. It is set either if there's "
  127. 'not at least an unreconciled debit and '
  128. 'an unreconciled credit or if you click '
  129. 'the "Done" button.',
  130. 'string': 'Latest Invoices & Payments Matching '
  131. 'Date',
  132. 'type': 'datetime'},
  133. 'message_attachment_count': {'string': 'Attachment Count', 'type': 'integer'},
  134. 'message_bounce': {'help': 'Counter of the number of bounced emails for this '
  135. 'contact',
  136. 'string': 'Bounce',
  137. 'type': 'integer'},
  138. 'message_follower_ids': {'string': 'Followers', 'type': 'one2many'},
  139. 'message_has_error': {'help': 'If checked, some messages have a delivery '
  140. 'error.',
  141. 'string': 'Message Delivery error',
  142. 'type': 'boolean'},
  143. 'message_has_error_counter': {'help': 'Number of messages with delivery error',
  144. 'string': 'Number of errors',
  145. 'type': 'integer'},
  146. 'message_has_sms_error': {'help': 'If checked, some messages have a delivery '
  147. 'error.',
  148. 'string': 'SMS Delivery error',
  149. 'type': 'boolean'},
  150. 'message_ids': {'string': 'Messages', 'type': 'one2many'},
  151. 'message_is_follower': {'string': 'Is Follower', 'type': 'boolean'},
  152. 'message_main_attachment_id': {'string': 'Main Attachment',
  153. 'type': 'many2one'},
  154. 'message_needaction': {'help': 'If checked, new messages require your '
  155. 'attention.',
  156. 'string': 'Action Needed',
  157. 'type': 'boolean'},
  158. 'message_needaction_counter': {'help': 'Number of messages which requires an '
  159. 'action',
  160. 'string': 'Number of Actions',
  161. 'type': 'integer'},
  162. 'message_partner_ids': {'string': 'Followers (Partners)', 'type': 'many2many'},
  163. 'message_unread': {'help': 'If checked, new messages require your attention.',
  164. 'string': 'Unread Messages',
  165. 'type': 'boolean'},
  166. 'message_unread_counter': {'help': 'Number of unread messages',
  167. 'string': 'Unread Messages Counter',
  168. 'type': 'integer'},
  169. 'mobile': {'string': 'Mobile', 'type': 'char'},
  170. 'mobile_blacklisted': {'help': 'Indicates if a blacklisted sanitized phone '
  171. 'number is a mobile number. Helps distinguish '
  172. 'which number is blacklisted when '
  173. 'there is both a mobile and phone field in a '
  174. 'model.',
  175. 'string': 'Blacklisted Phone Is Mobile',
  176. 'type': 'boolean'},
  177. 'my_activity_date_deadline': {'string': 'My Activity Deadline',
  178. 'type': 'date'},
  179. 'name': {'string': 'Name', 'type': 'char'},
  180. 'on_time_rate': {'help': 'Over the past 12 months; the number of products '
  181. 'received on time divided by the number of ordered '
  182. 'products.',
  183. 'string': 'On-Time Delivery Rate',
  184. 'type': 'float'},
  185. 'parent_id': {'string': 'Related Company', 'type': 'many2one'},
  186. 'parent_name': {'string': 'Parent name', 'type': 'char'},
  187. 'partner_gid': {'string': 'Company database ID', 'type': 'integer'},
  188. 'partner_latitude': {'string': 'Geo Latitude', 'type': 'float'},
  189. 'partner_longitude': {'string': 'Geo Longitude', 'type': 'float'},
  190. 'partner_share': {'help': 'Either customer (not a user), either shared user. '
  191. 'Indicated the current partner is a customer '
  192. 'without access or with a limited access created '
  193. 'for sharing data.',
  194. 'string': 'Share Partner',
  195. 'type': 'boolean'},
  196. 'payment_token_count': {'string': 'Payment Token Count', 'type': 'integer'},
  197. 'payment_token_ids': {'string': 'Payment Tokens', 'type': 'one2many'},
  198. 'phone': {'string': 'Phone', 'type': 'char'},
  199. 'phone_blacklisted': {'help': 'Indicates if a blacklisted sanitized phone '
  200. 'number is a phone number. Helps distinguish '
  201. 'which number is blacklisted when '
  202. 'there is both a mobile and phone field in a '
  203. 'model.',
  204. 'string': 'Blacklisted Phone is Phone',
  205. 'type': 'boolean'},
  206. 'phone_mobile_search': {'string': 'Phone/Mobile', 'type': 'char'},
  207. 'phone_sanitized': {'help': 'Field used to store sanitized phone number. '
  208. 'Helps speeding up searches and comparisons.',
  209. 'string': 'Sanitized Number',
  210. 'type': 'char'},
  211. 'phone_sanitized_blacklisted': {'help': 'If the sanitized phone number is on '
  212. "the blacklist, the contact won't "
  213. 'receive mass mailing sms anymore, '
  214. 'from any list',
  215. 'string': 'Phone Blacklisted',
  216. 'type': 'boolean'},
  217. 'picking_warn': {'help': 'Selecting the "Warning" option will notify user '
  218. 'with the message, Selecting "Blocking Message" will '
  219. 'throw an exception with the message and block the '
  220. 'flow. The Message has to be written in the next '
  221. 'field.',
  222. 'string': 'Stock Picking',
  223. 'type': 'selection'},
  224. 'picking_warn_msg': {'string': 'Message for Stock Picking', 'type': 'text'},
  225. 'property_account_payable_id': {'help': 'This account will be used instead of '
  226. 'the default one as the payable '
  227. 'account for the current partner',
  228. 'string': 'Account Payable',
  229. 'type': 'many2one'},
  230. 'property_account_position_id': {'help': 'The fiscal position determines the '
  231. 'taxes/accounts used for this '
  232. 'contact.',
  233. 'string': 'Fiscal Position',
  234. 'type': 'many2one'},
  235. 'property_account_receivable_id': {'help': 'This account will be used instead '
  236. 'of the default one as the '
  237. 'receivable account for the '
  238. 'current partner',
  239. 'string': 'Account Receivable',
  240. 'type': 'many2one'},
  241. 'property_payment_term_id': {'help': 'This payment term will be used instead '
  242. 'of the default one for sales orders and '
  243. 'customer invoices',
  244. 'string': 'Customer Payment Terms',
  245. 'type': 'many2one'},
  246. 'property_product_pricelist': {'help': 'This pricelist will be used, instead '
  247. 'of the default one, for sales to the '
  248. 'current partner',
  249. 'string': 'Pricelist',
  250. 'type': 'many2one'},
  251. 'property_purchase_currency_id': {'help': 'This currency will be used, '
  252. 'instead of the default one, for '
  253. 'purchases from the current partner',
  254. 'string': 'Supplier Currency',
  255. 'type': 'many2one'},
  256. 'property_stock_customer': {'help': 'The stock location used as destination '
  257. 'when sending goods to this contact.',
  258. 'string': 'Customer Location',
  259. 'type': 'many2one'},
  260. 'property_stock_supplier': {'help': 'The stock location used as source when '
  261. 'receiving goods from this contact.',
  262. 'string': 'Vendor Location',
  263. 'type': 'many2one'},
  264. 'property_supplier_payment_term_id': {'help': 'This payment term will be used '
  265. 'instead of the default one for '
  266. 'purchase orders and vendor '
  267. 'bills',
  268. 'string': 'Vendor Payment Terms',
  269. 'type': 'many2one'},
  270. 'purchase_line_ids': {'string': 'Purchase Lines', 'type': 'one2many'},
  271. 'purchase_order_count': {'string': 'Purchase Order Count', 'type': 'integer'},
  272. 'purchase_warn': {'help': 'Selecting the "Warning" option will notify user '
  273. 'with the message, Selecting "Blocking Message" '
  274. 'will throw an exception with the message and block '
  275. 'the flow. The Message has to be written in the '
  276. 'next field.',
  277. 'string': 'Purchase Order',
  278. 'type': 'selection'},
  279. 'purchase_warn_msg': {'string': 'Message for Purchase Order', 'type': 'text'},
  280. 'receipt_reminder_email': {'help': 'Automatically send a confirmation email '
  281. 'to the vendor X days before the expected '
  282. 'receipt date, asking him to confirm the '
  283. 'exact date.',
  284. 'string': 'Receipt Reminder',
  285. 'type': 'boolean'},
  286. 'ref': {'string': 'Reference', 'type': 'char'},
  287. 'ref_company_ids': {'string': 'Companies that refers to partner',
  288. 'type': 'one2many'},
  289. 'reminder_date_before_receipt': {'help': 'Number of days to send reminder '
  290. 'email before the promised receipt '
  291. 'date',
  292. 'string': 'Days Before Receipt',
  293. 'type': 'integer'},
  294. 'sale_order_count': {'string': 'Sale Order Count', 'type': 'integer'},
  295. 'sale_order_ids': {'string': 'Sales Order', 'type': 'one2many'},
  296. 'sale_warn': {'help': 'Selecting the "Warning" option will notify user with '
  297. 'the message, Selecting "Blocking Message" will throw '
  298. 'an exception with the message and block the flow. The '
  299. 'Message has to be written in the next field.',
  300. 'string': 'Sales Warnings',
  301. 'type': 'selection'},
  302. 'sale_warn_msg': {'string': 'Message for Sales Order', 'type': 'text'},
  303. 'same_vat_partner_id': {'string': 'Partner with same Tax ID',
  304. 'type': 'many2one'},
  305. 'self': {'string': 'Self', 'type': 'many2one'},
  306. 'signup_expiration': {'string': 'Signup Expiration', 'type': 'datetime'},
  307. 'signup_token': {'string': 'Signup Token', 'type': 'char'},
  308. 'signup_type': {'string': 'Signup Token Type', 'type': 'char'},
  309. 'signup_url': {'string': 'Signup URL', 'type': 'char'},
  310. 'signup_valid': {'string': 'Signup Token is Valid', 'type': 'boolean'},
  311. 'state_id': {'string': 'State', 'type': 'many2one'},
  312. 'street': {'string': 'Street', 'type': 'char'},
  313. 'street2': {'string': 'Street2', 'type': 'char'},
  314. 'supplier_invoice_count': {'string': '# Vendor Bills', 'type': 'integer'},
  315. 'supplier_rank': {'string': 'Supplier Rank', 'type': 'integer'},
  316. 'team_id': {'help': 'If set, this Sales Team will be used for sales and '
  317. 'assignments related to this partner',
  318. 'string': 'Sales Team',
  319. 'type': 'many2one'},
  320. 'title': {'string': 'Title', 'type': 'many2one'},
  321. 'total_invoiced': {'string': 'Total Invoiced', 'type': 'monetary'},
  322. 'trust': {'string': 'Degree of trust you have in this debtor',
  323. 'type': 'selection'},
  324. 'type': {'help': 'Invoice & Delivery addresses are used in sales orders. '
  325. 'Private addresses are only visible by authorized users.',
  326. 'string': 'Address Type',
  327. 'type': 'selection'},
  328. 'tz': {'help': 'When printing documents and exporting/importing data, time '
  329. 'values are computed according to this timezone.\n'
  330. 'If the timezone is not set, UTC (Coordinated Universal Time) '
  331. 'is used.\n'
  332. 'Anywhere else, time values are computed according to the time '
  333. 'offset of your web client.',
  334. 'string': 'Timezone',
  335. 'type': 'selection'},
  336. 'tz_offset': {'string': 'Timezone offset', 'type': 'char'},
  337. 'user_id': {'help': 'The internal user in charge of this contact.',
  338. 'string': 'Salesperson',
  339. 'type': 'many2one'},
  340. 'user_ids': {'string': 'Users', 'type': 'one2many'},
  341. 'vat': {'help': 'The Tax Identification Number. Complete it if the contact is '
  342. 'subjected to government taxes. Used in some legal '
  343. 'statements.',
  344. 'string': 'Tax ID',
  345. 'type': 'char'},
  346. 'website': {'string': 'Website Link', 'type': 'char'},
  347. 'website_message_ids': {'help': 'Website communication history',
  348. 'string': 'Website Messages',
  349. 'type': 'one2many'},
  350. 'write_date': {'string': 'Last Updated on', 'type': 'datetime'},
  351. 'write_uid': {'string': 'Last Updated by', 'type': 'many2one'},
  352. 'zip': {'string': 'Zip', 'type': 'char'}}

读取到string  与type 与help的全部数据


  1. def search_and_read():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Search and read
  5. search_and_read = models.execute_kw(db, uid, password,
  6. 'res.partner', 'search_read',
  7. [[['is_company', '=', True]]],
  8. {'fields': ['name', 'country_id', 'comment'], 'limit': 5})
  9. print('Search and read')
  10. pprint(search_and_read)
  11. search_and_read()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. Search and read
  4. [{'comment': False, 'country_id': [48, 'China'], 'id': 1, 'name': 'My Company'},
  5. {'comment': '<p><br></p>', 'country_id': False, 'id': 9, 'name': '李四'}]

搜索并读取数据的这几个字段,不限制时limit最多为5


  1. def create_reads():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # Create records
  5. models.execute_kw(db, uid, password, 'res.partner', 'create', [{
  6. 'name': "New Partner_2",
  7. }])
  8. # read Create records
  9. search_and_read = models.execute_kw(db, uid, password,
  10. 'res.partner', 'search_read',
  11. [[['name', '=', 'New Partner_2']]],
  12. {'fields': ['name'], 'limit': 5})
  13. pprint(search_and_read)
  14. create_reads()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. [{'id': 14, 'name': 'New Partner_2'}]

成功使用xmlrpc创建了一个name为:【New Partner_2】的用户。【数据库最后一行】 


  1. def update_records():
  2. models = endpoint_object()
  3. uid = get_uid()
  4. # read res.partner
  5. search_and_read = models.execute_kw(db, uid, password,
  6. 'res.partner', 'search_read',
  7. [[['name', '=', 'New Partner_2']]],
  8. {'fields': ['id'], 'limit': 1})
  9. my_partner_id = search_and_read[0]['id']
  10. print('my_partner_id:', my_partner_id)
  11. # Update records
  12. models.execute_kw(db, uid, password, 'res.partner', 'write', [[my_partner_id], {
  13. 'name': "hello"
  14. }])
  15. # get record name after having changed it
  16. my_data = models.execute_kw(db, uid, password, 'res.partner', 'name_get',[[my_partner_id]])
  17. pprint(my_data)
  18. update_records()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. my_partner_id: 14
  4. [[14, 'hello']]

重新捞一下 这个 New Partner_2的ID,其实在表里能看到 为14。并且把它更名为hello,并print

                                                          刷新后就变成了hello ,控制台也print了  hello


 

  1. def delete_record():
  2. # please installl sale addons
  3. models = endpoint_object()
  4. uid = get_uid()
  5. # read res.partner
  6. my_partner_id = 14
  7. # Delete records
  8. models.execute_kw(db, uid, password, 'res.partner', 'unlink', [[my_partner_id]])
  9. # check if the deleted record is still in the database
  10. my_data = models.execute_kw(db, uid, password,
  11. 'res.partner', 'search', [[['id', '=', my_partner_id]]])
  12. pprint(my_data)
  13. delete_record()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. []
删除ID号为14的数据,在ORM中unlink就相当于delete。刷新pgAdmin中也已被删除。

  1. def many2one_create():
  2. # please installl sale addons
  3. models = endpoint_object()
  4. uid = get_uid()
  5. # read res.partner
  6. search_and_read = models.execute_kw(db, uid, password,
  7. 'res.partner', 'search_read',
  8. [[['name', '=', 'hello']]],
  9. {'fields': ['id'], 'limit': 1})
  10. my_partner_id = search_and_read[0]['id']
  11. print('my_partner_id:', my_partner_id)
  12. # Many2one - create
  13. id_ = models.execute_kw(db, uid, password, 'sale.order', 'create', [{
  14. 'partner_id': my_partner_id,
  15. }])
  16. # get record name after having changed it
  17. # check form pgadmin4
  18. my_data = models.execute_kw(db, uid, password, 'sale.order', 'name_get',[[id_]])
  19. pprint(my_data)
  20. many2one_create()
  1. {'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1}
  2. uid: 2
  3. my_partner_id: 15
  4. [[3, 'S00003']]

使用rpc找到name=‘hello’的这条数据,并且使用limit=1,只取这一条数据的ID。然后打印出这个ID号为15:(我把刚才那个删除又执行了一遍生成hello,所以ID号变成了15) 

 然后在sale.order表里create一个partner_id = 15的数据,name为S00003 


后续完整代码:

 

  1. import xmlrpc.client
  2. from pprint import pprint
  3. # use xmlrpc 時, 建議回傳 true
  4. # The reason is that not all client implementations of the XML-RPC protocol
  5. # support None/Null values, and may raise errors when such a value is returned
  6. # by a method.
  7. url = 'http://127.0.0.1:8069'
  8. db = 'fxl'
  9. username = 'fxl'
  10. password = 'fxl'
  11. def common_version():
  12. # provides meta-calls which don’t require authentication
  13. common = xmlrpc.client.ServerProxy('{}/xmlrpc/2/common'.format(url))
  14. common.version()
  15. print(common.version())
  16. return common
  17. def get_uid():
  18. # Logging in
  19. common = common_version()
  20. uid = common.authenticate(db, username, password, {})
  21. print('uid:', uid)
  22. return uid
  23. def endpoint_object():
  24. # is used to call methods of odoo models via the execute_kw RPC function.
  25. return xmlrpc.client.ServerProxy('{}/xmlrpc/2/object'.format(url))
  26. def call_check_access_rights():
  27. # Calling methods
  28. models = endpoint_object()
  29. uid = get_uid()
  30. data = models.execute_kw(db, uid, password,
  31. 'res.partner', 'check_access_rights',
  32. ['read'], {'raise_exception': False})
  33. print(data)
  34. def list_all_records():
  35. models = endpoint_object()
  36. uid = get_uid()
  37. # List all records
  38. records_data = models.execute_kw(db, uid, password,
  39. 'res.partner', 'search',[[]])
  40. print(records_data)
  41. def list_records():
  42. models = endpoint_object()
  43. uid = get_uid()
  44. # List records
  45. records_data = models.execute_kw(db, uid, password,
  46. 'res.partner', 'search',
  47. [[['is_company', '=', True]]])
  48. print(records_data)
  49. def count_records():
  50. models = endpoint_object()
  51. uid = get_uid()
  52. # Count records
  53. records_count = models.execute_kw(db, uid, password,
  54. 'res.partner', 'search_count',
  55. [[['is_company', '=', True]]])
  56. print(records_count)
  57. def read_records():
  58. models = endpoint_object()
  59. uid = get_uid()
  60. # Read records
  61. ids = models.execute_kw(db, uid, password,
  62. 'res.partner', 'search',
  63. [[['is_company', '=', True]]],
  64. {'limit': 1})
  65. print('ids:', ids)
  66. return ids
  67. def read_all_field():
  68. models = endpoint_object()
  69. uid = get_uid()
  70. # Read records ids
  71. ids = read_records()
  72. # all field
  73. record = models.execute_kw(db, uid, password,
  74. 'res.partner', 'read', [ids])
  75. print('record')
  76. pprint(record)
  77. def read_need_field():
  78. models = endpoint_object()
  79. uid = get_uid()
  80. # Read records ids
  81. ids = read_records()
  82. # need field
  83. record = models.execute_kw(db, uid, password,
  84. 'res.partner', 'read',
  85. [ids], {'fields': ['name', 'country_id', 'comment']})
  86. print('record')
  87. pprint(record)
  88. def listing_record_fields_attributes():
  89. models = endpoint_object()
  90. uid = get_uid()
  91. # Listing record fields attributes
  92. listing_record_fields = models.execute_kw(
  93. db, uid, password, 'res.partner', 'fields_get',
  94. [], {'attributes': ['string', 'help', 'type']})
  95. print('Listing record fields')
  96. pprint(listing_record_fields)
  97. def search_and_read():
  98. models = endpoint_object()
  99. uid = get_uid()
  100. # Search and read
  101. search_and_read = models.execute_kw(db, uid, password,
  102. 'res.partner', 'search_read',
  103. [[['is_company', '=', True]]],
  104. {'fields': ['name', 'country_id', 'comment'], 'limit': 5})
  105. print('Search and read')
  106. pprint(search_and_read)
  107. def create_reads():
  108. models = endpoint_object()
  109. uid = get_uid()
  110. # Create records
  111. models.execute_kw(db, uid, password, 'res.partner', 'create', [{
  112. 'name': "New Partner_2",
  113. }])
  114. # read Create records
  115. search_and_read = models.execute_kw(db, uid, password,
  116. 'res.partner', 'search_read',
  117. [[['name', '=', 'New Partner_2']]],
  118. {'fields': ['name'], 'limit': 5})
  119. pprint(search_and_read)
  120. def update_records():
  121. models = endpoint_object()
  122. uid = get_uid()
  123. # read res.partner
  124. search_and_read = models.execute_kw(db, uid, password,
  125. 'res.partner', 'search_read',
  126. [[['name', '=', 'New Partner_2']]],
  127. {'fields': ['id'], 'limit': 1})
  128. my_partner_id = search_and_read[0]['id']
  129. print('my_partner_id:', my_partner_id)
  130. # Update records
  131. models.execute_kw(db, uid, password, 'res.partner', 'write', [[my_partner_id], {
  132. 'name': "hello"
  133. }])
  134. # get record name after having changed it
  135. my_data = models.execute_kw(db, uid, password, 'res.partner', 'name_get',[[my_partner_id]])
  136. pprint(my_data)
  137. def delete_record():
  138. # please installl sale addons
  139. models = endpoint_object()
  140. uid = get_uid()
  141. # read res.partner
  142. my_partner_id = 14
  143. # Delete records
  144. models.execute_kw(db, uid, password, 'res.partner', 'unlink', [[my_partner_id]])
  145. # check if the deleted record is still in the database
  146. my_data = models.execute_kw(db, uid, password,
  147. 'res.partner', 'search', [[['id', '=', my_partner_id]]])
  148. pprint(my_data)
  149. def many2one_create():
  150. # please installl sale addons
  151. models = endpoint_object()
  152. uid = get_uid()
  153. # read res.partner
  154. search_and_read = models.execute_kw(db, uid, password,
  155. 'res.partner', 'search_read',
  156. [[['name', '=', 'hello']]],
  157. {'fields': ['id'], 'limit': 1})
  158. my_partner_id = search_and_read[0]['id']
  159. print('my_partner_id:', my_partner_id)
  160. # Many2one - create
  161. id_ = models.execute_kw(db, uid, password, 'sale.order', 'create', [{
  162. 'partner_id': my_partner_id,
  163. }])
  164. # get record name after having changed it
  165. # check form pgadmin4
  166. my_data = models.execute_kw(db, uid, password, 'sale.order', 'name_get',[[id_]])
  167. pprint(my_data)
  168. def many2many_add_record():
  169. models = endpoint_object()
  170. uid = get_uid()
  171. # res.partner.category
  172. # check form pgadmin4
  173. category_id = 7
  174. # res.partner
  175. # check form pgadmin4
  176. res_partner_id = 38
  177. # (4, id, _) links an already existing record.
  178. # add many2many field,
  179. models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], {
  180. 'category_id': [(4, category_id, 0)]
  181. }])
  182. record = models.execute_kw(db, uid, password,
  183. 'res.partner', 'read',
  184. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  185. print('record:', record)
  186. def many2many_add_mutil_record():
  187. models = endpoint_object()
  188. uid = get_uid()
  189. # res.partner.category
  190. # check form pgadmin4
  191. category_ids = [6, 7]
  192. # res.partner
  193. # check form pgadmin4
  194. res_partner_id = 37
  195. # (6, _, [ids]) replaces the list of linked records with the provided list.
  196. # add mutil many2many field
  197. models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], {
  198. 'category_id': [(6, 0, category_ids)]
  199. }])
  200. record = models.execute_kw(db, uid, password,
  201. 'res.partner', 'read',
  202. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  203. print('record:', record)
  204. def many2many_update_record():
  205. models = endpoint_object()
  206. uid = get_uid()
  207. # res.partner.category
  208. # check form pgadmin4
  209. category_id = 6
  210. # res.partner
  211. # check form pgadmin4
  212. res_partner_id = 37
  213. record = models.execute_kw(db, uid, password, 'res.partner', 'read',
  214. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  215. print('record:', record)
  216. # update many2many field value
  217. # (1, ID, { values }) update the linked record with id = ID
  218. models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], {
  219. 'category_id': [(1, category_id, {'name':'hello2'})]
  220. }])
  221. record = models.execute_kw(db, uid, password,
  222. 'res.partner.category', 'read',
  223. [category_id], {'fields': ['id', 'name']})
  224. print('record:', record)
  225. def many2many_delete_record_2():
  226. models = endpoint_object()
  227. uid = get_uid()
  228. # res.partner.category
  229. # check form pgadmin4
  230. category_id = 6
  231. # res.partner
  232. # check form pgadmin4
  233. res_partner_id = 37
  234. record = models.execute_kw(db, uid, password,
  235. 'res.partner', 'read',
  236. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  237. print('record:', record)
  238. # delete many2many field.
  239. # 2, ID) remove and delete the linked record with id = ID
  240. # (calls unlink on ID, that will delete the object completely,
  241. # and the link to it as well)
  242. models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], {
  243. 'category_id': [(2, category_id, 0)]
  244. }])
  245. record = models.execute_kw(db, uid, password,
  246. 'res.partner', 'read',
  247. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  248. print('record:', record)
  249. # res.partner.category
  250. # check form pgadmin4
  251. # id = 6 deleted
  252. record = models.execute_kw(db, uid, password,
  253. 'res.partner.category', 'read',
  254. [category_id], {'fields': ['id', 'name']})
  255. print('record:', record)
  256. def many2many_delete_record_3():
  257. models = endpoint_object()
  258. uid = get_uid()
  259. # res.partner.category
  260. # check form pgadmin4
  261. category_id = 7
  262. # res.partner
  263. # check form pgadmin4
  264. res_partner_id = 37
  265. record = models.execute_kw(db, uid, password,
  266. 'res.partner', 'read',
  267. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  268. print('record:', record)
  269. # delete many2many field.
  270. # (3, ID) cut the link to the linked record with id = ID
  271. # (delete the relationship between the two objects
  272. # but does not delete the target object itself)
  273. models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], {
  274. 'category_id': [(3, category_id, 0)]
  275. }])
  276. record = models.execute_kw(db, uid, password,
  277. 'res.partner', 'read',
  278. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  279. print('record:', record)
  280. # res.partner.category
  281. # check form pgadmin4
  282. # id = 7 not deleted
  283. record = models.execute_kw(db, uid, password,
  284. 'res.partner.category', 'read',
  285. [category_id], {'fields': ['id', 'name']})
  286. print('record:', record)
  287. def many2many_delete_record_5():
  288. models = endpoint_object()
  289. uid = get_uid()
  290. # res.partner
  291. # check form pgadmin4
  292. res_partner_id = 38
  293. record = models.execute_kw(db, uid, password,
  294. 'res.partner', 'read',
  295. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  296. print('record:', record)
  297. # delete many2many field.
  298. # (5, 0, 0) unlink all
  299. # (like using (3,ID, 0) for all linked records)
  300. models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], {
  301. 'category_id': [(5, 0, 0)]
  302. }])
  303. # res.partner.category
  304. # check form pgadmin4
  305. # ids not deleted
  306. record = models.execute_kw(db, uid, password,
  307. 'res.partner', 'read',
  308. [res_partner_id], {'fields': ['id', 'name', 'category_id']})
  309. print('record:', record)
  310. # common_version()
  311. # get_uid()
  312. # call_check_access_rights()
  313. # list_all_records()
  314. # list_records()
  315. # count_records()
  316. # read_records()
  317. # read_all_field()
  318. # read_need_field()
  319. # listing_record_fields_attributes()
  320. # search_and_read()
  321. # create_reads()
  322. # update_records()
  323. # delete_record()
  324. # many2one_create()
  325. # many2many_add_record()
  326. # many2many_add_mutil_record()
  327. # many2many_update_record()
  328. # many2many_delete_record_2()
  329. # many2many_delete_record_3()
  330. # many2many_delete_record_5()

运行时解开最后一行注释即可。

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