Constraints do not match RHS based on coordinates

[thomgeo]

Version Checks (indicate both or one)

• I have confirmed this bug exists on the lastest release of Linopy.

• I have confirmed this bug exists on the current master branch of Linopy.

Issue Description

When constants are supplied to a linopy model, the model appears to introduce these only based on order, not match them based on the relevant coordinates.

Reproducible Example

import linopy

m = linopy.Model()

idx = ["A1", "A5", "A11", "A100"]

x = m.add_variables(coords=[idx], name="x")

idx2 = ["A100", "A1", "A5", "A11"]

coef = pd.Series({i: int(i[1:]) for i in idx2})
m.add_constraints(x >= coef)

Expected Behavior

linopy should build the constraint so that the variables are matched with the constant of the same index.

[A1]: +1 x[A1]     ≥ 100.0

[A5]: +1 x[A5]     ≥ 1.0

[A11]: +1 x[A11]   ≥ 11.0

[A100]: +1 x[A100] ≥ 5.0

Instead, it returns a constraint of the form:

[A1]: +1 x[A1]     ≥ 1.0

[A5]: +1 x[A5]     ≥ 5.0

[A11]: +1 x[A11]   ≥ 11.0

[A100]: +1 x[A100] ≥ 100.0

Installed Versions

Details

0.5.8

[hugoalgarvio]

Yes, the "lower_bound_constraint" is not aligned with the "coef" index:

coef:
A100 100
A1 1
A5 5
A11 11
dtype: int64

Constraint:
Constraint lower_bound_constraint [dim_0: 4]:

[A1]: +1 x[A1] ≥ 100.0
[A5]: +1 x[A5] ≥ 1.0
[A11]: +1 x[A11] ≥ 5.0
[A100]: +1 x[A100] ≥ 11.0