Support SQL2gms for Unix version

Would it be possible to add support for sql2gms tool in a future unix release? It is almost impossible to connect with an sql database in a unix environment.
I have to use unix because i need to setup a r-shiny server and it is only feasible in unix (without large costs).

sql2gms relies on Windows functionality (odbc data connectors) so there is little chance to port this to other platforms. We have a couple of clients who successfully use e.g. SQLAlchemy and GAMS embedded Python code to communicate with SQL databases (on Unix). Here is a simple example. I have attached SQLite database file for convenience. Read more about GAMS embedded Python code at: https://www.gams.com/latest/docs/UG_EmbeddedCode.html

Set
   i 'canning plants' 
   j 'markets'        

Parameter
   a(i<) 'capacity of plant i in cases'
   b(j<) 'demand at market j in cases'
Parameter d(i,j) 'distance in thousands of miles';

Scalar f 'freight in dollars per case per thousand miles' / 90 /;

$onembeddedCode Python:
import sqlalchemy
from sqlalchemy import create_engine
engine = create_engine('sqlite:///xxx.db')
with engine.connect() as con:
   a = [tuple(r) for r in con.execute('SELECT * FROM a')]
   b = [tuple(r) for r in con.execute('SELECT * FROM b')]
   d = [tuple(r) for r in con.execute('SELECT * FROM d')]
   gams.set('a',a);
   gams.set('b',b);
   gams.set('d',d);
$offEmbeddedCode a b d 

Parameter c(i,j) 'transport cost in thousands of dollars per case';
c(i,j) = f*d(i,j)/1000;

Variable
   x(i,j) 'shipment quantities in cases'
   z      'total transportation costs in thousands of dollars';

Positive Variable x;

Equation
   cost      'define objective function'
   supply(i) 'observe supply limit at plant i'
   demand(j) 'satisfy demand at market j';

cost..      z =e= sum((i,j), c(i,j)*x(i,j));

supply(i).. sum(j, x(i,j)) =l= a(i);

demand(j).. sum(i, x(i,j)) =g= b(j);

Model transport / all /;

solve transport using lp minimizing z;

display x.l, x.m;

sqlitedb.zip (607 Bytes)

Hello and thank for your prompt answer. I tried sqlalchemy as you suggest but unfortunately it returns an error “No module named sqlalchemy”.