使用python xmlrpc连接odoo方式
作者:小付学代码
使用python xmlrpc连接odoo
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。】
import xmlrpc.client from pprint import pprint url = 'http://127.0.0.1:8069' db = 'fxl' username = 'fxl' password = 'fxl' def common_version(): # provides meta-calls which don't require authentication common = xmlrpc.client.ServerProxy('{}/xmlrpc/2/common'.format(url)) common.version() print(common.version()) return common common_version()
url:数据库连接 db:数据库名 usr与psd:数据库账号密码
def get_uid(): # Logging in common = common_version() uid = common.authenticate(db, username, password, {}) print('uid:', uid) return uid get_uid()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2
取到我们现在的UID为2
def endpoint_object(): # is used to call methods of odoo models via the execute_kw RPC function. return xmlrpc.client.ServerProxy('{}/xmlrpc/2/object'.format(url)) def call_check_access_rights(): # Calling methods models = endpoint_object() uid = get_uid() data = models.execute_kw(db, uid, password, 'res.partner', 'check_access_rights', ['read'], {'raise_exception': False}) print(data) call_check_access_rights()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 True
这里我们要确定一下有没有res.partner的read权限,看返回值:【TRUE】
def list_all_records(): models = endpoint_object() uid = get_uid() # List all records records_data = models.execute_kw(db, uid, password, 'res.partner', 'search',[[]]) print(records_data) list_all_records()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 [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。
def list_records(): models = endpoint_object() uid = get_uid() # List records records_data = models.execute_kw(db, uid, password, 'res.partner', 'search', [['is_company', '=', True]]) print(records_data) list_records()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 [1, 9]
筛选出 is_company = True 的id为【1,9】
def count_records(): models = endpoint_object() uid = get_uid() # Count records records_count = models.execute_kw(db, uid, password, 'res.partner', 'search_count', [[['is_company', '=', True]]]) print(records_count) count_records()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 2
使用count计数 找出筛选的id数为2
def read_records(): models = endpoint_object() uid = get_uid() # Read records ids = models.execute_kw(db, uid, password, 'res.partner', 'search', [[['is_company', '=', True]]], {'limit': 1}) print('ids:', ids) return ids read_records()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 ids: [1]
使用 limit=1 一次只读一个
def read_all_field(): models = endpoint_object() uid = get_uid() # Read records ids ids = read_records() # all field record = models.execute_kw(db, uid, password, 'res.partner', 'read', [ids]) print('record') pprint(record) read_all_field()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 ids: [1] record [{'__last_update': '2022-05-18 03:25:00', 'active': True, 'active_lang_count': 2, 'activity_date_deadline': False, 'activity_exception_decoration': False, 'activity_exception_icon': False, 'activity_ids': [], 'activity_state': False, 'activity_summary': False, 'activity_type_icon': False, 'activity_type_id': False, 'activity_user_id': False, 'additional_info': False, 'avatar_1024': 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', 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', 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', 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', 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', 'industry_id': False, 'invoice_ids': [], 'invoice_warn': 'no-message', 'invoice_warn_msg': False, 'is_blacklisted': False, 'is_company': True, 'journal_item_count': 0, 'lang': 'zh_CN', 'last_time_entries_checked': False, 'message_attachment_count': 0, 'message_bounce': 0, 'message_follower_ids': [], 'message_has_error': False, 'message_has_error_counter': 0, 'message_has_sms_error': False, 'message_ids': [], 'message_is_follower': False, 'message_main_attachment_id': False, 'message_needaction': False, 'message_needaction_counter': 0, 'message_partner_ids': [], 'message_unread': False, 'message_unread_counter': 0, 'mobile': False, 'mobile_blacklisted': False, 'my_activity_date_deadline': False, 'name': 'My Company', 'on_time_rate': -1.0, 'parent_id': False, 'parent_name': False, 'partner_gid': 0, 'partner_latitude': 0.0, 'partner_longitude': 0.0, 'partner_share': True, 'payment_token_count': 0, 'payment_token_ids': [], 'phone': 'fxl', 'phone_blacklisted': False, 'phone_mobile_search': False, 'phone_sanitized': 'fxl', 'phone_sanitized_blacklisted': False, 'picking_warn': 'no-message', 'picking_warn_msg': False, 'property_account_payable_id': [41, '220200 Accounts Payable'], 'property_account_position_id': False, 'property_account_receivable_id': [5, '112200 Accounts Receivable'], 'property_payment_term_id': False, 'property_product_pricelist': [1, 'Public Pricelist (CNY)'], 'property_purchase_currency_id': False, 'property_stock_customer': [13, 'Physical Locations/Inter-warehouse transit'], 'property_stock_supplier': [13, 'Physical Locations/Inter-warehouse transit'], 'property_supplier_payment_term_id': False, 'purchase_line_ids': [], 'purchase_order_count': 0, 'purchase_warn': 'no-message', 'purchase_warn_msg': False, 'receipt_reminder_email': False, 'ref': False, 'ref_company_ids': [1], 'reminder_date_before_receipt': 1, 'sale_order_count': 0, 'sale_order_ids': [], 'sale_warn': 'no-message', 'sale_warn_msg': False, 'same_vat_partner_id': False, 'self': [1, 'My Company'], 'signup_expiration': False, 'signup_token': False, 'signup_type': False, 'signup_url': False, 'signup_valid': False, 'state_id': False, 'street': '', 'street2': False, 'supplier_invoice_count': 0, 'supplier_rank': 0, 'team_id': False, 'title': False, 'total_invoiced': 0.0, 'trust': 'normal', 'type': 'contact', 'tz': False, 'tz_offset': '+0000', 'user_id': False, 'user_ids': [], 'vat': False, 'website': False, 'website_message_ids': [], 'write_date': '2022-05-18 03:25:00', 'write_uid': [2, 'Administrator'], 'zip': ''}]
把此元素的所有资料全部捞出来
def read_need_field(): models = endpoint_object() uid = get_uid() # Read records ids ids = read_records() # need field record = models.execute_kw(db, uid, password, 'res.partner', 'read', [ids], {'fields': ['name', 'country_id', 'comment']}) print('record') pprint(record) read_need_field()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 ids: [1] record [{'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
def listing_record_fields_attributes(): models = endpoint_object() uid = get_uid() # Listing record fields attributes listing_record_fields = models.execute_kw( db, uid, password, 'res.partner', 'fields_get', [], {'attributes': ['string', 'help', 'type']}) print('Listing record fields') pprint(listing_record_fields) listing_record_fields_attributes()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 Listing record fields {'__last_update': {'string': 'Last Modified on', 'type': 'datetime'}, 'active': {'string': 'Active', 'type': 'boolean'}, 'active_lang_count': {'string': 'Active Lang Count', 'type': 'integer'}, 'activity_date_deadline': {'string': 'Next Activity Deadline', 'type': 'date'}, 'activity_exception_decoration': {'help': 'Type of the exception activity on ' 'record.', 'string': 'Activity Exception Decoration', 'type': 'selection'}, 'activity_exception_icon': {'help': 'Icon to indicate an exception activity.', 'string': 'Icon', 'type': 'char'}, 'activity_ids': {'string': 'Activities', 'type': 'one2many'}, 'activity_state': {'help': 'Status based on activities\n' 'Overdue: Due date is already passed\n' 'Today: Activity date is today\n' 'Planned: Future activities.', 'string': 'Activity State', 'type': 'selection'}, 'activity_summary': {'string': 'Next Activity Summary', 'type': 'char'}, 'activity_type_icon': {'help': 'Font awesome icon e.g. fa-tasks', 'string': 'Activity Type Icon', 'type': 'char'}, 'activity_type_id': {'string': 'Next Activity Type', 'type': 'many2one'}, 'activity_user_id': {'string': 'Responsible User', 'type': 'many2one'}, 'additional_info': {'string': 'Additional info', 'type': 'char'}, 'avatar_1024': {'string': 'Avatar 1024', 'type': 'binary'}, 'avatar_128': {'string': 'Avatar 128', 'type': 'binary'}, 'avatar_1920': {'string': 'Avatar', 'type': 'binary'}, 'avatar_256': {'string': 'Avatar 256', 'type': 'binary'}, 'avatar_512': {'string': 'Avatar 512', 'type': 'binary'}, 'bank_account_count': {'string': 'Bank', 'type': 'integer'}, 'bank_ids': {'string': 'Banks', 'type': 'one2many'}, 'barcode': {'help': 'Use a barcode to identify this contact.', 'string': 'Barcode', 'type': 'char'}, 'category_id': {'string': 'Tags', 'type': 'many2many'}, 'channel_ids': {'string': 'Channels', 'type': 'many2many'}, 'child_ids': {'string': 'Contact', 'type': 'one2many'}, 'city': {'string': 'City', 'type': 'char'}, 'color': {'string': 'Color Index', 'type': 'integer'}, 'comment': {'string': 'Notes', 'type': 'html'}, 'commercial_company_name': {'string': 'Company Name Entity', 'type': 'char'}, 'commercial_partner_id': {'string': 'Commercial Entity', 'type': 'many2one'}, 'company_id': {'string': 'Company', 'type': 'many2one'}, 'company_name': {'string': 'Company Name', 'type': 'char'}, 'company_type': {'string': 'Company Type', 'type': 'selection'}, 'contact_address': {'string': 'Complete Address', 'type': 'char'}, 'contract_ids': {'string': 'Partner Contracts', 'type': 'one2many'}, 'country_code': {'help': 'The ISO country code in two chars. \n' 'You can use this field for quick search.', 'string': 'Country Code', 'type': 'char'}, 'country_id': {'string': 'Country', 'type': 'many2one'}, 'create_date': {'string': 'Created on', 'type': 'datetime'}, 'create_uid': {'string': 'Created by', 'type': 'many2one'}, 'credit': {'help': 'Total amount this customer owes you.', 'string': 'Total Receivable', 'type': 'monetary'}, 'credit_limit': {'string': 'Credit Limit', 'type': 'float'}, 'currency_id': {'help': 'Utility field to express amount currency', 'string': 'Currency', 'type': 'many2one'}, 'customer_rank': {'string': 'Customer Rank', 'type': 'integer'}, 'date': {'string': 'Date', 'type': 'date'}, 'debit': {'help': 'Total amount you have to pay to this vendor.', 'string': 'Total Payable', 'type': 'monetary'}, 'debit_limit': {'string': 'Payable Limit', 'type': 'monetary'}, 'display_name': {'string': 'Display Name', 'type': 'char'}, 'email': {'string': 'Email', 'type': 'char'}, 'email_formatted': {'help': 'Format email address "Name <email@domain>"', 'string': 'Formatted Email', 'type': 'char'}, 'email_normalized': {'help': 'This field is used to search on email address ' 'as the primary email field can contain more ' 'than strictly an email address.', 'string': 'Normalized Email', 'type': 'char'}, 'employee': {'help': 'Check this box if this contact is an Employee.', 'string': 'Employee', 'type': 'boolean'}, 'function': {'string': 'Job Position', 'type': 'char'}, 'has_message': {'string': 'Has Message', 'type': 'boolean'}, 'has_unreconciled_entries': {'help': 'The partner has at least one ' 'unreconciled debit and credit since ' 'last time the invoices & payments ' 'matching was performed.', 'string': 'Has Unreconciled Entries', 'type': 'boolean'}, 'id': {'string': 'ID', 'type': 'integer'}, 'im_status': {'string': 'IM Status', 'type': 'char'}, 'image_1024': {'string': 'Image 1024', 'type': 'binary'}, 'image_128': {'string': 'Image 128', 'type': 'binary'}, 'image_1920': {'string': 'Image', 'type': 'binary'}, 'image_256': {'string': 'Image 256', 'type': 'binary'}, 'image_512': {'string': 'Image 512', 'type': 'binary'}, 'industry_id': {'string': 'Industry', 'type': 'many2one'}, 'invoice_ids': {'string': 'Invoices', 'type': 'one2many'}, 'invoice_warn': {'help': 'Selecting the "Warning" option will notify user ' 'with the message, Selecting "Blocking Message" will ' 'throw an exception with the message and block the ' 'flow. The Message has to be written in the next ' 'field.', 'string': 'Invoice', 'type': 'selection'}, 'invoice_warn_msg': {'string': 'Message for Invoice', 'type': 'text'}, 'is_blacklisted': {'help': 'If the email address is on the blacklist, the ' "contact won't receive mass mailing anymore, from " 'any list', 'string': 'Blacklist', 'type': 'boolean'}, 'is_company': {'help': 'Check if the contact is a company, otherwise it is a ' 'person', 'string': 'Is a Company', 'type': 'boolean'}, 'journal_item_count': {'string': 'Journal Items', 'type': 'integer'}, 'lang': {'help': 'All the emails and documents sent to this contact will be ' 'translated in this language.', 'string': 'Language', 'type': 'selection'}, 'last_time_entries_checked': {'help': 'Last time the invoices & payments ' 'matching was performed for this ' "partner. It is set either if there's " 'not at least an unreconciled debit and ' 'an unreconciled credit or if you click ' 'the "Done" button.', 'string': 'Latest Invoices & Payments Matching ' 'Date', 'type': 'datetime'}, 'message_attachment_count': {'string': 'Attachment Count', 'type': 'integer'}, 'message_bounce': {'help': 'Counter of the number of bounced emails for this ' 'contact', 'string': 'Bounce', 'type': 'integer'}, 'message_follower_ids': {'string': 'Followers', 'type': 'one2many'}, 'message_has_error': {'help': 'If checked, some messages have a delivery ' 'error.', 'string': 'Message Delivery error', 'type': 'boolean'}, 'message_has_error_counter': {'help': 'Number of messages with delivery error', 'string': 'Number of errors', 'type': 'integer'}, 'message_has_sms_error': {'help': 'If checked, some messages have a delivery ' 'error.', 'string': 'SMS Delivery error', 'type': 'boolean'}, 'message_ids': {'string': 'Messages', 'type': 'one2many'}, 'message_is_follower': {'string': 'Is Follower', 'type': 'boolean'}, 'message_main_attachment_id': {'string': 'Main Attachment', 'type': 'many2one'}, 'message_needaction': {'help': 'If checked, new messages require your ' 'attention.', 'string': 'Action Needed', 'type': 'boolean'}, 'message_needaction_counter': {'help': 'Number of messages which requires an ' 'action', 'string': 'Number of Actions', 'type': 'integer'}, 'message_partner_ids': {'string': 'Followers (Partners)', 'type': 'many2many'}, 'message_unread': {'help': 'If checked, new messages require your attention.', 'string': 'Unread Messages', 'type': 'boolean'}, 'message_unread_counter': {'help': 'Number of unread messages', 'string': 'Unread Messages Counter', 'type': 'integer'}, 'mobile': {'string': 'Mobile', 'type': 'char'}, 'mobile_blacklisted': {'help': 'Indicates if a blacklisted sanitized phone ' 'number is a mobile number. Helps distinguish ' 'which number is blacklisted when ' 'there is both a mobile and phone field in a ' 'model.', 'string': 'Blacklisted Phone Is Mobile', 'type': 'boolean'}, 'my_activity_date_deadline': {'string': 'My Activity Deadline', 'type': 'date'}, 'name': {'string': 'Name', 'type': 'char'}, 'on_time_rate': {'help': 'Over the past 12 months; the number of products ' 'received on time divided by the number of ordered ' 'products.', 'string': 'On-Time Delivery Rate', 'type': 'float'}, 'parent_id': {'string': 'Related Company', 'type': 'many2one'}, 'parent_name': {'string': 'Parent name', 'type': 'char'}, 'partner_gid': {'string': 'Company database ID', 'type': 'integer'}, 'partner_latitude': {'string': 'Geo Latitude', 'type': 'float'}, 'partner_longitude': {'string': 'Geo Longitude', 'type': 'float'}, 'partner_share': {'help': 'Either customer (not a user), either shared user. ' 'Indicated the current partner is a customer ' 'without access or with a limited access created ' 'for sharing data.', 'string': 'Share Partner', 'type': 'boolean'}, 'payment_token_count': {'string': 'Payment Token Count', 'type': 'integer'}, 'payment_token_ids': {'string': 'Payment Tokens', 'type': 'one2many'}, 'phone': {'string': 'Phone', 'type': 'char'}, 'phone_blacklisted': {'help': 'Indicates if a blacklisted sanitized phone ' 'number is a phone number. Helps distinguish ' 'which number is blacklisted when ' 'there is both a mobile and phone field in a ' 'model.', 'string': 'Blacklisted Phone is Phone', 'type': 'boolean'}, 'phone_mobile_search': {'string': 'Phone/Mobile', 'type': 'char'}, 'phone_sanitized': {'help': 'Field used to store sanitized phone number. ' 'Helps speeding up searches and comparisons.', 'string': 'Sanitized Number', 'type': 'char'}, 'phone_sanitized_blacklisted': {'help': 'If the sanitized phone number is on ' "the blacklist, the contact won't " 'receive mass mailing sms anymore, ' 'from any list', 'string': 'Phone Blacklisted', 'type': 'boolean'}, 'picking_warn': {'help': 'Selecting the "Warning" option will notify user ' 'with the message, Selecting "Blocking Message" will ' 'throw an exception with the message and block the ' 'flow. The Message has to be written in the next ' 'field.', 'string': 'Stock Picking', 'type': 'selection'}, 'picking_warn_msg': {'string': 'Message for Stock Picking', 'type': 'text'}, 'property_account_payable_id': {'help': 'This account will be used instead of ' 'the default one as the payable ' 'account for the current partner', 'string': 'Account Payable', 'type': 'many2one'}, 'property_account_position_id': {'help': 'The fiscal position determines the ' 'taxes/accounts used for this ' 'contact.', 'string': 'Fiscal Position', 'type': 'many2one'}, 'property_account_receivable_id': {'help': 'This account will be used instead ' 'of the default one as the ' 'receivable account for the ' 'current partner', 'string': 'Account Receivable', 'type': 'many2one'}, 'property_payment_term_id': {'help': 'This payment term will be used instead ' 'of the default one for sales orders and ' 'customer invoices', 'string': 'Customer Payment Terms', 'type': 'many2one'}, 'property_product_pricelist': {'help': 'This pricelist will be used, instead ' 'of the default one, for sales to the ' 'current partner', 'string': 'Pricelist', 'type': 'many2one'}, 'property_purchase_currency_id': {'help': 'This currency will be used, ' 'instead of the default one, for ' 'purchases from the current partner', 'string': 'Supplier Currency', 'type': 'many2one'}, 'property_stock_customer': {'help': 'The stock location used as destination ' 'when sending goods to this contact.', 'string': 'Customer Location', 'type': 'many2one'}, 'property_stock_supplier': {'help': 'The stock location used as source when ' 'receiving goods from this contact.', 'string': 'Vendor Location', 'type': 'many2one'}, 'property_supplier_payment_term_id': {'help': 'This payment term will be used ' 'instead of the default one for ' 'purchase orders and vendor ' 'bills', 'string': 'Vendor Payment Terms', 'type': 'many2one'}, 'purchase_line_ids': {'string': 'Purchase Lines', 'type': 'one2many'}, 'purchase_order_count': {'string': 'Purchase Order Count', 'type': 'integer'}, 'purchase_warn': {'help': 'Selecting the "Warning" option will notify user ' 'with the message, Selecting "Blocking Message" ' 'will throw an exception with the message and block ' 'the flow. The Message has to be written in the ' 'next field.', 'string': 'Purchase Order', 'type': 'selection'}, 'purchase_warn_msg': {'string': 'Message for Purchase Order', 'type': 'text'}, 'receipt_reminder_email': {'help': 'Automatically send a confirmation email ' 'to the vendor X days before the expected ' 'receipt date, asking him to confirm the ' 'exact date.', 'string': 'Receipt Reminder', 'type': 'boolean'}, 'ref': {'string': 'Reference', 'type': 'char'}, 'ref_company_ids': {'string': 'Companies that refers to partner', 'type': 'one2many'}, 'reminder_date_before_receipt': {'help': 'Number of days to send reminder ' 'email before the promised receipt ' 'date', 'string': 'Days Before Receipt', 'type': 'integer'}, 'sale_order_count': {'string': 'Sale Order Count', 'type': 'integer'}, 'sale_order_ids': {'string': 'Sales Order', 'type': 'one2many'}, 'sale_warn': {'help': 'Selecting the "Warning" option will notify user with ' 'the message, Selecting "Blocking Message" will throw ' 'an exception with the message and block the flow. The ' 'Message has to be written in the next field.', 'string': 'Sales Warnings', 'type': 'selection'}, 'sale_warn_msg': {'string': 'Message for Sales Order', 'type': 'text'}, 'same_vat_partner_id': {'string': 'Partner with same Tax ID', 'type': 'many2one'}, 'self': {'string': 'Self', 'type': 'many2one'}, 'signup_expiration': {'string': 'Signup Expiration', 'type': 'datetime'}, 'signup_token': {'string': 'Signup Token', 'type': 'char'}, 'signup_type': {'string': 'Signup Token Type', 'type': 'char'}, 'signup_url': {'string': 'Signup URL', 'type': 'char'}, 'signup_valid': {'string': 'Signup Token is Valid', 'type': 'boolean'}, 'state_id': {'string': 'State', 'type': 'many2one'}, 'street': {'string': 'Street', 'type': 'char'}, 'street2': {'string': 'Street2', 'type': 'char'}, 'supplier_invoice_count': {'string': '# Vendor Bills', 'type': 'integer'}, 'supplier_rank': {'string': 'Supplier Rank', 'type': 'integer'}, 'team_id': {'help': 'If set, this Sales Team will be used for sales and ' 'assignments related to this partner', 'string': 'Sales Team', 'type': 'many2one'}, 'title': {'string': 'Title', 'type': 'many2one'}, 'total_invoiced': {'string': 'Total Invoiced', 'type': 'monetary'}, 'trust': {'string': 'Degree of trust you have in this debtor', 'type': 'selection'}, 'type': {'help': 'Invoice & Delivery addresses are used in sales orders. ' 'Private addresses are only visible by authorized users.', 'string': 'Address Type', 'type': 'selection'}, 'tz': {'help': 'When printing documents and exporting/importing data, time ' 'values are computed according to this timezone.\n' 'If the timezone is not set, UTC (Coordinated Universal Time) ' 'is used.\n' 'Anywhere else, time values are computed according to the time ' 'offset of your web client.', 'string': 'Timezone', 'type': 'selection'}, 'tz_offset': {'string': 'Timezone offset', 'type': 'char'}, 'user_id': {'help': 'The internal user in charge of this contact.', 'string': 'Salesperson', 'type': 'many2one'}, 'user_ids': {'string': 'Users', 'type': 'one2many'}, 'vat': {'help': 'The Tax Identification Number. Complete it if the contact is ' 'subjected to government taxes. Used in some legal ' 'statements.', 'string': 'Tax ID', 'type': 'char'}, 'website': {'string': 'Website Link', 'type': 'char'}, 'website_message_ids': {'help': 'Website communication history', 'string': 'Website Messages', 'type': 'one2many'}, 'write_date': {'string': 'Last Updated on', 'type': 'datetime'}, 'write_uid': {'string': 'Last Updated by', 'type': 'many2one'}, 'zip': {'string': 'Zip', 'type': 'char'}}
读取到string 与type 与help的全部数据
def search_and_read(): models = endpoint_object() uid = get_uid() # Search and read search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['is_company', '=', True]]], {'fields': ['name', 'country_id', 'comment'], 'limit': 5}) print('Search and read') pprint(search_and_read) search_and_read()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 Search and read [{'comment': False, 'country_id': [48, 'China'], 'id': 1, 'name': 'My Company'}, {'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
def create_reads(): models = endpoint_object() uid = get_uid() # Create records models.execute_kw(db, uid, password, 'res.partner', 'create', [{ 'name': "New Partner_2", }]) # read Create records search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['name', '=', 'New Partner_2']]], {'fields': ['name'], 'limit': 5}) pprint(search_and_read) create_reads()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 [{'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】
def update_records(): models = endpoint_object() uid = get_uid() # read res.partner search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['name', '=', 'New Partner_2']]], {'fields': ['id'], 'limit': 1}) my_partner_id = search_and_read[0]['id'] print('my_partner_id:', my_partner_id) # Update records models.execute_kw(db, uid, password, 'res.partner', 'write', [[my_partner_id], { 'name': "hello" }]) # get record name after having changed it my_data = models.execute_kw(db, uid, password, 'res.partner', 'name_get',[[my_partner_id]]) pprint(my_data) update_records()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 my_partner_id: 14 [[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
def delete_record(): # please installl sale addons models = endpoint_object() uid = get_uid() # read res.partner my_partner_id = 14 # Delete records models.execute_kw(db, uid, password, 'res.partner', 'unlink', [[my_partner_id]]) # check if the deleted record is still in the database my_data = models.execute_kw(db, uid, password, 'res.partner', 'search', [[['id', '=', my_partner_id]]]) pprint(my_data) delete_record()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 []
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。
def many2one_create(): # please installl sale addons models = endpoint_object() uid = get_uid() # read res.partner search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['name', '=', 'hello']]], {'fields': ['id'], 'limit': 1}) my_partner_id = search_and_read[0]['id'] print('my_partner_id:', my_partner_id) # Many2one - create id_ = models.execute_kw(db, uid, password, 'sale.order', 'create', [{ 'partner_id': my_partner_id, }]) # get record name after having changed it # check form pgadmin4 my_data = models.execute_kw(db, uid, password, 'sale.order', 'name_get',[[id_]]) pprint(my_data) many2one_create()
{'server_version': '15.0', 'server_version_info': [15, 0, 0, 'final', 0, ''], 'server_serie': '15.0', 'protocol_version': 1} uid: 2 my_partner_id: 15 [[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
import xmlrpc.client from pprint import pprint # use xmlrpc 時, 建議回傳 true # The reason is that not all client implementations of the XML-RPC protocol # support None/Null values, and may raise errors when such a value is returned # by a method. url = 'http://127.0.0.1:8069' db = 'fxl' username = 'fxl' password = 'fxl' def common_version(): # provides meta-calls which don't require authentication common = xmlrpc.client.ServerProxy('{}/xmlrpc/2/common'.format(url)) common.version() print(common.version()) return common def get_uid(): # Logging in common = common_version() uid = common.authenticate(db, username, password, {}) print('uid:', uid) return uid def endpoint_object(): # is used to call methods of odoo models via the execute_kw RPC function. return xmlrpc.client.ServerProxy('{}/xmlrpc/2/object'.format(url)) def call_check_access_rights(): # Calling methods models = endpoint_object() uid = get_uid() data = models.execute_kw(db, uid, password, 'res.partner', 'check_access_rights', ['read'], {'raise_exception': False}) print(data) def list_all_records(): models = endpoint_object() uid = get_uid() # List all records records_data = models.execute_kw(db, uid, password, 'res.partner', 'search',[[]]) print(records_data) def list_records(): models = endpoint_object() uid = get_uid() # List records records_data = models.execute_kw(db, uid, password, 'res.partner', 'search', [[['is_company', '=', True]]]) print(records_data) def count_records(): models = endpoint_object() uid = get_uid() # Count records records_count = models.execute_kw(db, uid, password, 'res.partner', 'search_count', [[['is_company', '=', True]]]) print(records_count) def read_records(): models = endpoint_object() uid = get_uid() # Read records ids = models.execute_kw(db, uid, password, 'res.partner', 'search', [[['is_company', '=', True]]], {'limit': 1}) print('ids:', ids) return ids def read_all_field(): models = endpoint_object() uid = get_uid() # Read records ids ids = read_records() # all field record = models.execute_kw(db, uid, password, 'res.partner', 'read', [ids]) print('record') pprint(record) def read_need_field(): models = endpoint_object() uid = get_uid() # Read records ids ids = read_records() # need field record = models.execute_kw(db, uid, password, 'res.partner', 'read', [ids], {'fields': ['name', 'country_id', 'comment']}) print('record') pprint(record) def listing_record_fields_attributes(): models = endpoint_object() uid = get_uid() # Listing record fields attributes listing_record_fields = models.execute_kw( db, uid, password, 'res.partner', 'fields_get', [], {'attributes': ['string', 'help', 'type']}) print('Listing record fields') pprint(listing_record_fields) def search_and_read(): models = endpoint_object() uid = get_uid() # Search and read search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['is_company', '=', True]]], {'fields': ['name', 'country_id', 'comment'], 'limit': 5}) print('Search and read') pprint(search_and_read) def create_reads(): models = endpoint_object() uid = get_uid() # Create records models.execute_kw(db, uid, password, 'res.partner', 'create', [{ 'name': "New Partner_2", }]) # read Create records search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['name', '=', 'New Partner_2']]], {'fields': ['name'], 'limit': 5}) pprint(search_and_read) def update_records(): models = endpoint_object() uid = get_uid() # read res.partner search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['name', '=', 'New Partner_2']]], {'fields': ['id'], 'limit': 1}) my_partner_id = search_and_read[0]['id'] print('my_partner_id:', my_partner_id) # Update records models.execute_kw(db, uid, password, 'res.partner', 'write', [[my_partner_id], { 'name': "hello" }]) # get record name after having changed it my_data = models.execute_kw(db, uid, password, 'res.partner', 'name_get',[[my_partner_id]]) pprint(my_data) def delete_record(): # please installl sale addons models = endpoint_object() uid = get_uid() # read res.partner my_partner_id = 14 # Delete records models.execute_kw(db, uid, password, 'res.partner', 'unlink', [[my_partner_id]]) # check if the deleted record is still in the database my_data = models.execute_kw(db, uid, password, 'res.partner', 'search', [[['id', '=', my_partner_id]]]) pprint(my_data) def many2one_create(): # please installl sale addons models = endpoint_object() uid = get_uid() # read res.partner search_and_read = models.execute_kw(db, uid, password, 'res.partner', 'search_read', [[['name', '=', 'hello']]], {'fields': ['id'], 'limit': 1}) my_partner_id = search_and_read[0]['id'] print('my_partner_id:', my_partner_id) # Many2one - create id_ = models.execute_kw(db, uid, password, 'sale.order', 'create', [{ 'partner_id': my_partner_id, }]) # get record name after having changed it # check form pgadmin4 my_data = models.execute_kw(db, uid, password, 'sale.order', 'name_get',[[id_]]) pprint(my_data) def many2many_add_record(): models = endpoint_object() uid = get_uid() # res.partner.category # check form pgadmin4 category_id = 7 # res.partner # check form pgadmin4 res_partner_id = 38 # (4, id, _) links an already existing record. # add many2many field, models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], { 'category_id': [(4, category_id, 0)] }]) record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) def many2many_add_mutil_record(): models = endpoint_object() uid = get_uid() # res.partner.category # check form pgadmin4 category_ids = [6, 7] # res.partner # check form pgadmin4 res_partner_id = 37 # (6, _, [ids]) replaces the list of linked records with the provided list. # add mutil many2many field models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], { 'category_id': [(6, 0, category_ids)] }]) record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) def many2many_update_record(): models = endpoint_object() uid = get_uid() # res.partner.category # check form pgadmin4 category_id = 6 # res.partner # check form pgadmin4 res_partner_id = 37 record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # update many2many field value # (1, ID, { values }) update the linked record with id = ID models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], { 'category_id': [(1, category_id, {'name':'hello2'})] }]) record = models.execute_kw(db, uid, password, 'res.partner.category', 'read', [category_id], {'fields': ['id', 'name']}) print('record:', record) def many2many_delete_record_2(): models = endpoint_object() uid = get_uid() # res.partner.category # check form pgadmin4 category_id = 6 # res.partner # check form pgadmin4 res_partner_id = 37 record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # delete many2many field. # 2, ID) remove and delete the linked record with id = ID # (calls unlink on ID, that will delete the object completely, # and the link to it as well) models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], { 'category_id': [(2, category_id, 0)] }]) record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # res.partner.category # check form pgadmin4 # id = 6 deleted record = models.execute_kw(db, uid, password, 'res.partner.category', 'read', [category_id], {'fields': ['id', 'name']}) print('record:', record) def many2many_delete_record_3(): models = endpoint_object() uid = get_uid() # res.partner.category # check form pgadmin4 category_id = 7 # res.partner # check form pgadmin4 res_partner_id = 37 record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # delete many2many field. # (3, ID) cut the link to the linked record with id = ID # (delete the relationship between the two objects # but does not delete the target object itself) models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], { 'category_id': [(3, category_id, 0)] }]) record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # res.partner.category # check form pgadmin4 # id = 7 not deleted record = models.execute_kw(db, uid, password, 'res.partner.category', 'read', [category_id], {'fields': ['id', 'name']}) print('record:', record) def many2many_delete_record_5(): models = endpoint_object() uid = get_uid() # res.partner # check form pgadmin4 res_partner_id = 38 record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # delete many2many field. # (5, 0, 0) unlink all # (like using (3,ID, 0) for all linked records) models.execute_kw(db, uid, password, 'res.partner', 'write', [[res_partner_id], { 'category_id': [(5, 0, 0)] }]) # res.partner.category # check form pgadmin4 # ids not deleted record = models.execute_kw(db, uid, password, 'res.partner', 'read', [res_partner_id], {'fields': ['id', 'name', 'category_id']}) print('record:', record) # common_version() # get_uid() # call_check_access_rights() # list_all_records() # list_records() # count_records() # read_records() # read_all_field() # read_need_field() # listing_record_fields_attributes() # search_and_read() # create_reads() # update_records() # delete_record() # many2one_create() # many2many_add_record() # many2many_add_mutil_record() # many2many_update_record() # many2many_delete_record_2() # many2many_delete_record_3() # many2many_delete_record_5()
运行时解开最后一行注释即可。
总结
以上为个人经验,希望能给大家一个参考,也希望大家多多支持脚本之家。