```json
{
  "sym_variables": [
    ("x0", "strawberries"),
    ("x1", "hot dogs"),
    ("x2", "kiwis")
  ],
  "objective_function": "3.13*x0 + 3.77*x1 + 3.2*x2",
  "constraints": [
    "2*x0 + 20*x2 >= 167",
    "2*x0 + 28*x1 >= 200",
    "2*x0 + 28*x1 + 20*x2 >= 121",
    "2*x0 + 20*x2 <= 430",
    "2*x0 + 28*x1 <= 311",
    "2*x0 + 28*x1 + 20*x2 <= 640",
    "20*x0 + 2*x2 <= 289",
    "6*x1 + 2*x2 <= 586",
    "20*x0 + 6*x1 + 2*x2 <= 708",
    "32*x0 + 19*x1 <= 89",
    "32*x0 + 5*x2 <= 66",
    "19*x1 + 5*x2 <= 88",
    "32*x0 + 19*x1 + 5*x2 <= 95",
    "31*x0 + 7*x1 <= 453",
    "7*x1 + 30*x2 <= 567",
    "31*x0 + 7*x1 + 30*x2 <= 652",
    "x0 >= 0",
    "x1 >= 0",
    "x2 >= 0"
  ]
}
```

```python
import gurobipy as gp

try:
    # Create a new model
    m = gp.Model("food_optimization")

    # Create variables
    strawberries = m.addVar(lb=0, name="strawberries")
    hot_dogs = m.addVar(lb=0, name="hot_dogs")
    kiwis = m.addVar(lb=0, name="kiwis")

    # Set objective function
    m.setObjective(3.13 * strawberries + 3.77 * hot_dogs + 3.2 * kiwis, gp.GRB.MAXIMIZE)

    # Add constraints
    m.addConstr(2 * strawberries + 20 * kiwis >= 167, "c1")
    m.addConstr(2 * strawberries + 28 * hot_dogs >= 200, "c2")
    m.addConstr(2 * strawberries + 28 * hot_dogs + 20 * kiwis >= 121, "c3")
    m.addConstr(2 * strawberries + 20 * kiwis <= 430, "c4")
    m.addConstr(2 * strawberries + 28 * hot_dogs <= 311, "c5")
    m.addConstr(2 * strawberries + 28 * hot_dogs + 20 * kiwis <= 640, "c6")  # dollar cost
    m.addConstr(20 * strawberries + 2 * kiwis <= 289, "c7")
    m.addConstr(6 * hot_dogs + 2 * kiwis <= 586, "c8")
    m.addConstr(20 * strawberries + 6 * hot_dogs + 2 * kiwis <= 708, "c9")  # fiber
    m.addConstr(32 * strawberries + 19 * hot_dogs <= 89, "c10")
    m.addConstr(32 * strawberries + 5 * kiwis <= 66, "c11")
    m.addConstr(19 * hot_dogs + 5 * kiwis <= 88, "c12")
    m.addConstr(32 * strawberries + 19 * hot_dogs + 5 * kiwis <= 95, "c13")  # tastiness
    m.addConstr(31 * strawberries + 7 * hot_dogs <= 453, "c14")
    m.addConstr(7 * hot_dogs + 30 * kiwis <= 567, "c15")
    m.addConstr(31 * strawberries + 7 * hot_dogs + 30 * kiwis <= 652, "c16")  # sourness


    # Optimize model
    m.optimize()

    if m.status == gp.GRB.OPTIMAL:
        print('Obj: %g' % m.objVal)
        print('strawberries:', strawberries.x)
        print('hot_dogs:', hot_dogs.x)
        print('kiwis:', kiwis.x)
    elif m.status == gp.GRB.INFEASIBLE:
        print('The model is infeasible.')
    else:
        print('Optimization ended with status %d' % m.status)


except gp.GurobiError as e:
    print('Error code ' + str(e.errno) + ': ' + str(e))

except AttributeError:
    print('Encountered an attribute error')
```