How to print the values of constraints

Specific Domains Optimization (Mathematical)
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4

Hi odow,
I followed the instructions like you recommended, and also read the documentation at -Query Solutions · JuMP - but I still keep getting errors when I try to print/access the values of the constraints of my model. At this point, I am unsure what I am doing wrong. I shall, therefore, very much appreciate your help with this task. Below is an abridged version of my working model.

Thanks in advance.

NB: I also upgraded to Julia v1.4.1

using JuMP, Gurobi

## Define model Object & Parameters:----------#
m = Model(optimizer_with_attributes(Gurobi.Optimizer, "FeasibilityTol"=>1e-6, "MIPGap"=>3e-4, "IntFeasTol"=>1e-9, "TimeLimit"=>18000, "IterationLimit"=>500))

V = 5

dist =
[999	8	4	9	9
8	999	6	7	10
4	6	999	5	6
9	7	5	999	4
9	10	6	4	999]

cost = 
[999	58	59	55	56
57	999	54	60	54
59	59	999	57	57
58	56	56	999	60
55	58	54	57	999]

death =
[9	1	1	1	1
1	9	1	1	1
1	1	9	1	1
1	1	1	9	1
1	1	1	1	9]

## define Variables:------------#
@variable(m, x[i=1:V,j=1:V], Bin) #decision binary variable
@variable(m, 0.0<=Q<=1.0) #mini_max variable

#3 Assign weights:________________________________#
w = Pair{Tuple{Int64,Int64},Float64}[]
for i=1:V, j=1:V
		push!( w ,  (i,j) =>  i != j ? 0.3 : 0.7)
end

## define Objective function:---------------#
@objective(m, Min, Q) #variable for the min_max weighted percentage deviation from the target values for the goals.

### MOLP/MOMP/Goal/target:________________________________#
for (key, value) in w
	@constraints(m, begin
	(DIST=value*(sum(dist[i,j]*x[i,j] for i=1:V, j=1:V )-29)/29) <= Q
	(COST=value*(sum(cost[i,j]*x[i,j] for i=1:V, j=1:V )-277)/277) <= Q
	(DEATH=value*(sum(death[i,j]*x[i,j] for i=1:V, j=1:V )-5)/5) <= Q
	end)
end

##printing model results;
print(m)
status = JuMP.optimize!(m)
println("Objective value: ------> ", JuMP.objective_value(m))