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fix item attributes using raw constraint value target, relaxed tif tcc drift

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This commit is contained in:
Josh Burman 2021-12-22 23:14:12 +00:00
parent 107abcb73a
commit 8bb5075f5b
2 changed files with 9 additions and 5 deletions
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6
app/helpers/service_helper.py
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@ -23,7 +23,11 @@ def items_csv_to_dict(items_csv_reader, solver_run):
item[solver_run.get_constraint(col).reference_attribute.id] = row[key]
elif solver_run.get_constraint(col):
constraint = solver_run.get_constraint(col)
item['attributes'].append(constraint.reference_attribute)
item['attributes'].append({
'id': col,
'value': row[key],
'type': constraint.reference_attribute.type
})
else:
if row[key]:
item[col] = row[key]

8
app/services/loft_service.py
View File

@ -87,15 +87,15 @@ class LoftService(Base):
# multi-objective constraints
for target in self.solver_run.objective_function.tif_targets:
problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) >= target.value - 5, f'max tif theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) >= target.value - 8, f'max tif theta ({target.theta}) target value {target.value}'
problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) <= target.value + 5, f'min tif theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) <= target.value + 8, f'min tif theta ({target.theta}) target value {target.value}'
for target in self.solver_run.objective_function.tcc_targets:
problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) >= target.value - 15, f'max tcc theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) >= target.value - 20, f'max tcc theta ({target.theta}) target value {target.value}'
problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
for item in self.solver_run.items]) <= target.value + 15, f'min tcc theta ({target.theta}) target value {target.value}'
for item in self.solver_run.items]) <= target.value + 20, f'min tcc theta ({target.theta}) target value {target.value}'
# solve problem
problem.solve()