Hi,
I am new to SqlAlchemy and like it very much.
I want to use it on a pretty acient database schema, wich has prefixed
all column names with a unique prefix for that table.
E.g.:
address_table = Table('a_address', metadata,
Column('A_ID', Integer, primary_key=True),
Column('A_VAT_ID', Integer), # TODO: link entries
Column('A_C_ID', Integer),
Column('A_Company_A_ID', Integer),
Column('A_P_ID', Integer),
Column('A_LOC_ID', Integer,
ForeignKey('loc_location.LOC_ID')),
Column('A_VC_ID', Integer),
Column('A_Descr', String(50)),
Column('A_Name', String(100)),
Column('A_Name2', String(100)),
Column('A_Department', String),
Column('A_Street', String),
Column('A_ZipCode', String(20)),
Column('A_City', String(50)),
Column('A_State', String(50)),
Column('A_PObox', String(20)),
Column('A_POboxZipCode', String(20)),
Column('A_POboxCity', String(50)),
Column('A_TelPrefix', String(30)),
Column('A_TelExt', String(10)),
Column('A_Tel2', String(50)),
Column('A_FaxPrefix', String(30)),
Column('A_FaxExt', String(10)),
Column('A_Fax2', String(50)),
Column('A_Mobile', String(50)),
Column('A_EMail', String(80)),
Column('A_VATID', String(30)),
Column('A_LastSeen', Date),
Column('A_Timestamp', DateTime),
)
When I now map a class to the table like:
class Address(object):
pass
mapper(Address, address_table)
It now does the expected and maps all the 'A_*' fields into the class.
My question now is, whether it is possible, to automatically remove
(or create additional properties) the 'A_' prefix of the created
properties and transform the all to lowercase. So that e.g. a city or
street property would be available and be mapped to the correspoinding
databasefields.
Sorry, if this question seems noobish, but I just want to avoid
redundant typing of all the fields...
cheers
Richard
--
You received this message because you are subscribed to the Google Groups
"sqlalchemy" group.
To post to this group, send email to [email protected].
To unsubscribe from this group, send email to
[email protected].
For more options, visit this group at
http://groups.google.com/group/sqlalchemy?hl=en.