## Step 1: Define the symbolic representation of the variables
The variables are 'bowls of pasta', 'oranges', 'tomatoes', 'ravioli' which can be represented symbolically as $x_0, x_1, x_2, x_3$ respectively.

## Step 2: Convert the objective function into a symbolic representation
The objective function to minimize is $7x_0 + 3x_1 + 7x_2 + 5x_3$.

## Step 3: List all the constraints in symbolic notation
Constraints:
1. $18x_0 + 6x_2 \geq 14$
2. $18x_0 + 18x_1 \geq 15$
3. $18x_0 + 6x_2 + 16x_3 \geq 24$
4. $18x_1 + 6x_2 + 16x_3 \geq 24$
5. $18x_0 + 6x_2 + 16x_3 \geq 38$
6. $18x_1 + 6x_2 + 16x_3 \geq 38$
7. $18x_0 + 18x_1 + 6x_2 + 16x_3 \geq 38$
8. $4x_0 + 19x_3 \geq 31$
9. $6x_2 + 19x_3 \geq 27$
10. $4x_0 + 9x_1 \geq 31$
11. $9x_1 + 6x_2 \geq 25$
12. $4x_0 + 9x_1 + 6x_2 \geq 32$
13. $4x_0 + 6x_2 + 19x_3 \geq 32$
14. $4x_0 + 9x_1 + 6x_2 \geq 26$
15. $4x_0 + 6x_2 + 19x_3 \geq 26$
16. $4x_0 + 9x_1 + 6x_2 + 19x_3 \geq 26$
17. $6x_1 - 4x_2 \geq 0$
18. $18x_1 + 16x_3 \leq 149$
19. $18x_0 + 18x_1 \leq 124$
20. $18x_1 + 6x_2 \leq 139$
21. $6x_2 + 16x_3 \leq 72$
22. $18x_0 + 18x_1 + 6x_2 \leq 159$
23. $6x_2 + 19x_3 \leq 56$
24. $4x_0 + 19x_3 \leq 42$
25. $9x_1 + 19x_3 \leq 108$
26. $4x_0 + 9x_1 \leq 122$
27. $4x_0 + 6x_2 + 19x_3 \leq 113$

## Step 4: Provide the symbolic representation in JSON format
```json
{
    'sym_variables': [('x0', 'bowls of pasta'), ('x1', 'oranges'), ('x2', 'tomatoes'), ('x3', 'ravioli')],
    'objective_function': '7*x0 + 3*x1 + 7*x2 + 5*x3',
    'constraints': [
        '18*x0 + 6*x2 >= 14',
        '18*x0 + 18*x1 >= 15',
        '18*x0 + 6*x2 + 16*x3 >= 24',
        '18*x1 + 6*x2 + 16*x3 >= 24',
        '18*x0 + 6*x2 + 16*x3 >= 38',
        '18*x1 + 6*x2 + 16*x3 >= 38',
        '18*x0 + 18*x1 + 6*x2 + 16*x3 >= 38',
        '4*x0 + 19*x3 >= 31',
        '6*x2 + 19*x3 >= 27',
        '4*x0 + 9*x1 >= 31',
        '9*x1 + 6*x2 >= 25',
        '4*x0 + 9*x1 + 6*x2 >= 32',
        '4*x0 + 6*x2 + 19*x3 >= 32',
        '4*x0 + 9*x1 + 6*x2 >= 26',
        '4*x0 + 6*x2 + 19*x3 >= 26',
        '4*x0 + 9*x1 + 6*x2 + 19*x3 >= 26',
        '6*x1 - 4*x2 >= 0',
        '18*x1 + 16*x3 <= 149',
        '18*x0 + 18*x1 <= 124',
        '18*x1 + 6*x2 <= 139',
        '6*x2 + 16*x3 <= 72',
        '18*x0 + 18*x1 + 6*x2 <= 159',
        '6*x2 + 19*x3 <= 56',
        '4*x0 + 19*x3 <= 42',
        '9*x1 + 19*x3 <= 108',
        '4*x0 + 9*x1 <= 122',
        '4*x0 + 6*x2 + 19*x3 <= 113'
    ]
}
```

## Step 5: Write the Gurobi code to solve the optimization problem
```python
import gurobi

def solve_optimization_problem():
    model = gurobi.Model()

    # Define variables
    x0 = model.addVar(name="bowls_of_pasta", lb=-gurobi.GRB.INFINITY)
    x1 = model.addVar(name="oranges", lb=-gurobi.GRB.INFINITY)
    x2 = model.addVar(name="tomatoes", lb=-gurobi.GRB.INFINITY)
    x3 = model.addVar(name="ravioli", lb=-gurobi.GRB.INFINITY)

    # Objective function
    model.setObjective(7 * x0 + 3 * x1 + 7 * x2 + 5 * x3, gurobi.GRB.MINIMIZE)

    # Constraints
    model.addConstr(18 * x0 + 6 * x2 >= 14)
    model.addConstr(18 * x0 + 18 * x1 >= 15)
    model.addConstr(18 * x0 + 6 * x2 + 16 * x3 >= 24)
    model.addConstr(18 * x1 + 6 * x2 + 16 * x3 >= 24)
    model.addConstr(18 * x0 + 6 * x2 + 16 * x3 >= 38)
    model.addConstr(18 * x1 + 6 * x2 + 16 * x3 >= 38)
    model.addConstr(18 * x0 + 18 * x1 + 6 * x2 + 16 * x3 >= 38)
    model.addConstr(4 * x0 + 19 * x3 >= 31)
    model.addConstr(6 * x2 + 19 * x3 >= 27)
    model.addConstr(4 * x0 + 9 * x1 >= 31)
    model.addConstr(9 * x1 + 6 * x2 >= 25)
    model.addConstr(4 * x0 + 9 * x1 + 6 * x2 >= 32)
    model.addConstr(4 * x0 + 6 * x2 + 19 * x3 >= 32)
    model.addConstr(4 * x0 + 9 * x1 + 6 * x2 >= 26)
    model.addConstr(4 * x0 + 6 * x2 + 19 * x3 >= 26)
    model.addConstr(4 * x0 + 9 * x1 + 6 * x2 + 19 * x3 >= 26)
    model.addConstr(6 * x1 - 4 * x2 >= 0)
    model.addConstr(18 * x1 + 16 * x3 <= 149)
    model.addConstr(18 * x0 + 18 * x1 <= 124)
    model.addConstr(18 * x1 + 6 * x2 <= 139)
    model.addConstr(6 * x2 + 16 * x3 <= 72)
    model.addConstr(18 * x0 + 18 * x1 + 6 * x2 <= 159)
    model.addConstr(6 * x2 + 19 * x3 <= 56)
    model.addConstr(4 * x0 + 19 * x3 <= 42)
    model.addConstr(9 * x1 + 19 * x3 <= 108)
    model.addConstr(4 * x0 + 9 * x1 <= 122)
    model.addConstr(4 * x0 + 6 * x2 + 19 * x3 <= 113)

    # Optimize
    model.optimize()

    # Print solution
    if model.status == gurobi.GRB.OPTIMAL:
        print("Objective: ", model.objVal)
        print("bowls_of_pasta: ", x0.varValue)
        print("oranges: ", x1.varValue)
        print("tomatoes: ", x2.varValue)
        print("ravioli: ", x3.varValue)
    else:
        print("No solution found")

solve_optimization_problem()
```