Skip to Content
Musisz się zarejestrować, aby móc wchodzić w interakcje z tą społecznością.
Wszystkie posty Osoby Odznaki
Tagi (Zobacz wszystko)
odoo accounting v14 pos v15
O tym forum
To pytanie dostało ostrzeżenie
ir_attachmentbom_mrp_ir.attachmentbom_linesXML-RPC
2 Odpowiedzi
5519 Widoki
Awatar
Tahir Abbas Jauhar

I am working to access the BOM data from XML-RPC, I can access the fields like mrp.bom and mrp.bom.line. My questions are:

  1. How can I access the total products instead of search for a particular product?
  2. How to access the particular product structure i.e., components and its attachments if any from ir.attachment?
  3. How can I upload/download attachment from XML-RPC? ids=models.execute_kw(DB,uid,ODOO_PWD,'ir.attachment','search',[[['name','=','thermaln.png']]])
    print(ids)
    print("thermaln.png")[record]=models.execute_kw(DB,uid,ODOO_PWD,'ir.attachment','read',[ids])
    I want to download it to a new local directory. Thanks in advance. 
Awatar
Odrzuć
Tahir Abbas Jauhar
Autor

The file storage methods available cannot be accessed remotely. Can any body guide with the work around?

Awatar
Ashish Hirpara
Najlepsza odpowiedź

To access the total products from the BOM data in Odoo using XML-RPC, you can use the "search" and "read" methods to search for and read all of the BOM records in the database.

To search for all of the BOM records, you can use the following code:

ids = models.execute_kw(DB, uid, ODOO_PWD, 'mrp.bom', 'search', [[]])

This code will search for all of the BOM records in the database and return a list of IDs for the records that were found. You can then use these IDs to read the BOM records and access the data that you need.

To read the BOM records and access the product data, you can use the following code:

boms = models.execute_kw(DB, uid, ODOO_PWD, 'mrp.bom', 'read', [ids])

This code will read the BOM records and return a list of dictionaries containing the data for each BOM record. You can then access the product data from the dictionaries using the keys for the product fields, such as "product_id" and "product_qty".

To access the product structure and attachments for a BOM record, you can use the "search" and "read" methods to search for and read the BOM lines and attachments for the BOM record. For example, you can use the following code to search for the BOM lines for a BOM record:

ids = models.execute_kw(DB, uid, ODOO_PWD, 'mrp.bom.line', 'search', [[['bom_id', '=', BOM_ID]]])

This code will search for all of the BOM lines for the BOM record with the ID BOM_ID, and return a list of IDs for the BOM lines that were found. You can then use these IDs to read the BOM lines and access the data that you need.

To read the BOM lines and access the product data, you can use the following code:

lines = models.execute_kw(DB, uid, ODOO_PWD, 'mrp.bom.line', 'read', [ids])

This code will read the BOM lines and return a list of dictionaries containing the data for each BOM line. You can then access the product data from the dictionaries using the keys for the product fields, such as "product_id" and "product_qty".

To access the attachments for a BOM record, you can use the "search" and "read" methods to search for and read the attachments for the BOM record. For example, you can use the following code to search for the attachments for a BOM record:

ids = models.execute_kw(DB, uid, ODOO_PWD, 'ir.attachment', 'search', [[['res_model', '=', 'mrp.bom'], ['res_id', '=', BOM_ID]]])

This code will search for all of the attachments for the BOM record with the ID BOM_ID, and return a list of IDs for the attachments that were found. You can then use these IDs to read the attachments and access the data that you need.

Awatar
Odrzuć
Tahir Abbas Jauhar
Autor

Thankyou for the structured answer. I was under the impression that search command always requires an input. I am able to access the attachment ids and records. Like this:
[{'id': 136, 'name': 'thermaln.png', 'description': False, 'res_name': 'Product1', 'res_model': 'mrp.bom', 'res_field': False, 'res_id': 1, 'company_id': [1, 'My Company'], 'type': 'binary', 'url': False, 'public': False, 'access_token': False, 'raw': '', 'datas': 'iVBOBydujL/iRYgLlOL4++wMInJyEhwLcd4LJOZ7JmkNtt1wkWYDiB7gILzw7fcvkR8BsLDQG+xQOcgNgAX7yFV7Y+6Qd+P7BX3CSu33QH3F3hr//gcvlFHYMgYN7TXC//2Gc8SGeaPkthnHbdwI3eb6zr5Msy7MD04c9wtq3/5', 'db_datas': False, 'store_fname': '9a/9ad3cd8a29f9edff71dcbbf1a78c9639971b10d2', 'file_size': 330, 'checksum': '9ad3cd8a29f9edff71dcbbf1a78c9639971b10d2', 'mimetype': 'application/octet-stream', 'index_content': 'application', '__last_update': '2022-12-04 06:44:43', 'display_name': 'cdcldata.dat', 'create_uid': [2, 'Administrator'], 'create_date': '2022-12-04 06:44:43', 'write_uid': [2, 'Administrator'], 'write_date': '2022-12-04 06:44:43', 'local_url': '/web/image/135?unique=9ad3cd8a29f9edff71dcbbf1a78c9639971b10d2', 'image_src': False, 'image_width': 0, 'image_height': 0, 'original_id': False}]

How can I save the file locally or upload file from local directory.
I have seen some code that says conversion of datas to binary64. But I am unable to perform it. Would you please guide regarding that as well that will cover the point 3.

Awatar
Jainesh Shah(Aktiv Software)
Najlepsza odpowiedź

Hi Tahir Abbas Jauhar, 

1) How can I access the total products instead of search for a particular product?
Ans : To get access of all the product you can write like below: 

product_ids = models.execute_kw(DB,uid,ODOO_PWD,'product.product','search',[[]])

2) How to access the particular product structure i.e., components and its attachments if any from ir.attachment?
Ans : You can search for the bom of the particular product and from that BOM you can access its component.

bom_id = models.execute_kw(DB,uid,ODOO_PWD,'mrp.bom','search_read',[[['product_id', '=' , product('id of the product)]]], {'fields': ['bom_line_ids']})

3) How can I upload/download attachment from XML-RPC?
Ans: You can upload the attachment by creating it from xmlrpc script and download it by simply going to the attachment menu in settings >> technical >> Database structure >> Attachment

I hope this will be helpful.

Thanks & Regards,
Email: odoo@aktivsoftware.com
Skype: kalpeshmaheshwari

Awatar
Odrzuć
Tahir Abbas Jauhar
Autor

Thankyou for your answer. About (3), I understand the UI method, but I am looking for XML-RPC method to download the file locally to a different directory instead for database or upload from local directory to database. Please guide. I can access the record like this:
[{'id': 136, 'name': 'thermaln.png', 'description': False, 'res_name': 'Product1', 'res_model': 'mrp.bom', 'res_field': False, 'res_id': 1, 'company_id': [1, 'My Company'], 'type': 'binary', 'url': False, 'public': False, 'access_token': False, 'raw': '', 'datas': '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', 'db_datas': False, 'store_fname': '97/9715a2cc21b4c7daf2250784af5761333f41609c', 'file_size': 38165, 'checksum': '9715a2cc21b4c7daf2250784af5761333f41609c', 'mimetype': 'image/png', 'index_content': 'image', '__last_update': '2022-12-04 06:44:54', 'display_name': 'thermaln.png', 'create_uid': [2, 'Administrator'], 'create_date': '2022-12-04 06:44:54', 'write_uid': [2, 'Administrator'], 'write_date': '2022-12-04 06:44:54', 'local_url': '/web/image/136?unique=9715a2cc21b4c7daf2250784af5761333f41609c', 'image_src': '/web/image/136-9715a2cc/thermaln.png', 'image_width': 1920, 'image_height': 1707, 'original_id': False}]
[135]
cdcldata.dat
[{'id': 135, 'name': 'cdcldata.dat', 'description': False, 'res_name': 'Product1', 'res_model': 'mrp.bom', 'res_field': False, 'res_id': 1, 'company_id': [1, 'My Company'], 'type': 'binary', 'url': False, 'public': False, 'access_token': False, 'raw': '1.12045371\t0.088\t0.077609124\t0\t-0.012598\n0.963861128\t0.05\t0.07\t-0.0322\t-0.03403\n0.807268545\t0.012390056\t0.035\t-0.041929\t-0.040129\n0.650675963\t-0.030247127\t0\t-0.02454\t-0.022736\n0.49408338\t-0.059650817\t-0.045983388\t0.01094\t0.0091948\n0.337490798\t-0.04\t-0.042458973\t0.03557\t0.04039\n0.180898215\t0\t-0.022741673\t0.077598\t0.078189\n', 'datas': 'MS4xMjA0NTM3MQkwLjA4OAkwLjA3NzYwOTEyNAkwCS0wLjAxMjU5OA0KMC45NjM4NjExMjgJMC4wNQkwLjA3CS0wLjAzMjIJLTAuMDM0MDMNCjAuODA3MjY4NTQ1CTAuMDEyMzkwMDU2CTAuMDM1CS0wLjA0MTkyOQktMC4wNDAxMjkNCjAuNjUwNjc1OTYzCS0wLjAzMDI0NzEyNwkwCS0wLjAyNDU0CS0wLjAyMjczNg0KMC40OTQwODMzOAktMC4wNTk2NTA4MTcJLTAuMDQ1OTgzMzg4CTAuMDEwOTQJMC4wMDkxOTQ4DQowLjMzNzQ5MDc5OAktMC4wNAktMC4wNDI0NTg5NzMJMC4wMzU1NwkwLjA0MDM5DQowLjE4MDg5ODIxNQkwCS0wLjAyMjc0MTY3MwkwLjA3NzU5OAkwLjA3ODE4OQ0K', 'db_datas': False, 'store_fname': '9a/9ad3cd8a29f9edff71dcbbf1a78c9639971b10d2', 'file_size': 330, 'checksum': '9ad3cd8a29f9edff71dcbbf1a78c9639971b10d2', 'mimetype': 'application/octet-stream', 'index_content': 'application', '__last_update': '2022-12-04 06:44:43', 'display_name': 'cdcldata.dat', 'create_uid': [2, 'Administrator'], 'create_date': '2022-12-04 06:44:43', 'write_uid': [2, 'Administrator'], 'write_date': '2022-12-04 06:44:43', 'local_url': '/web/image/135?unique=9ad3cd8a29f9edff71dcbbf1a78c9639971b10d2', 'image_src': False, 'image_width': 0, 'image_height': 0, 'original_id': False}]

Powiązane posty Odpowiedzi Widoki Czynność
How to restrict a user group accessing a specific model on ir_attachment? Rozwiązane
attachment document record_rules ir_attachment ir.attachment
Awatar
Awatar
1
gru 19
6162
Connect to Odoo external Api's
XML-RPC
Awatar
Awatar
1
sty 24
4919
Can the `read` operation fetch multiple results in the XML-Rpc API ?
XML-RPC
Awatar
Awatar
1
lip 23
4481
How can I save attachment to Odoo database?
ir.attachment
Awatar
Awatar
1
lut 23
7429
Strategies to speed up search queries via XML-RPC
XML-RPC
Awatar
0
paź 22
4039