Are you saying the CSV files contain string values rather than the integer
record IDs in each reference field (e.g., an entry in PL.BL_name is
actually a value from the "name" field of BL rather than the integer record
ID from BL)? If that is the case, I don't think the built-in import methods
will work -- you'll probably have to write your own code to handle it.
Anthony
On Thursday, January 5, 2017 at 11:18:42 PM UTC-5, Adam Jed wrote:
>
> Hi,
>
> I have defined tables:
>
> db.define_table('BL',
> Field('name'),
> format='%(name)s'
> )
>
> db.define_table('PL',
> Field('name'),
> Field('BL_name', 'reference BL'),
> format='%(name)s'
> )
>
> db.define_table('PRO',
> Field('name'),
> Field('BL_name', 'reference BL'),
> Field('PL_name', 'reference PL'),
> format='%(name)s'
> )
>
> db.define_table('ALL',
> Field('PRO','reference PRO'),
> Field('PL','reference PL'),
> Field('BL','reference BL')
> )
>
> Now i want to import csv into ALL table with:
> import_from_csv_file(file,delimiter=",",id_map={})
>
> I'm receiving error:
> <type 'exceptions.ValueError'> invalid literal for long() with base 10:
> "the cell value of the filed here"
> It works only when I provide the referenced fields ID's into csv file.
> I would like to import the csv with the string values that are defined in
> the BL,PL,PRO tables.
>
> Any ideas how to make the import_from_csv_file accepts the "name" fields
> from the tables instead of id's ?
>
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