# amplpy + MOSEK example
#
# Demonstrates how to set MOSEK parameters from amplpy
#
# Adapted from amplpy documentation.

import sys
from amplpy import AMPL, DataFrame, Environment

# Set this to the folder containing MOSEK binaries
# In that folder rename mampl to ampl (or make a link)
amplpath = sys.argv[1]

ampl = AMPL(Environment(amplpath))

ampl.setOption('solver', 'mosek')
ampl.setOption('mosek_options', 'outlev=2 msk_dpar_optimizer_max_time=100.0 msk_ipar_intpnt_solve_form=msk_solve_dual')

ampl.read('diet.mod')

foods = ['BEEF', 'CHK', 'FISH', 'HAM', 'MCH', 'MTL', 'SPG', 'TUR']
costs = [3.59, 2.59, 2.29, 2.89, 1.89, 1.99, 1.99, 2.49]

fmin = [2, 2, 2, 2, 2, 2, 2, 2]
fmax = [10, 10, 10, 10, 10, 10, 10, 10]

df = DataFrame('FOOD')
df.setColumn('FOOD', foods)
df.addColumn('cost', costs)
df.addColumn('f_min', fmin)
df.addColumn('f_max', fmax)
ampl.setData(df, 'FOOD')

nutrients = ['A', 'C', 'B1', 'B2', 'NA', 'CAL']
nmin = [700, 700, 700, 700, 0, 16000]
nmax = [20000, 20000, 20000, 20000, 50000, 24000]

df = DataFrame('NUTR')
df.setColumn('NUTR', nutrients)
df.addColumn('n_min', nmin)
df.addColumn('n_max', nmax)
ampl.setData(df, 'NUTR')

amounts = [
    [ 60,    8,   8,  40,   15,  70,   25,   60],
    [ 20,    0,  10,  40,   35,  30,   50,   20],
    [ 10,   20,  15,  35,   15,  15,   25,   15],
    [ 15,   20,  10,  10,   15,  15,   15,   10],
    [928, 2180, 945, 278, 1182, 896, 1329, 1397],
    [295,  770, 440, 430,  315, 400,  379,  450]
]

df = DataFrame(('NUTR', 'FOOD'), 'amt')
df.setValues({
    (nutrient, food): amounts[i][j]
    for i, nutrient in enumerate(nutrients)
    for j, food in enumerate(foods)
})
ampl.setData(df)

ampl.solve()

print('Objective: {}'.format(ampl.getObjective('total_cost').value()))