jshbrmn/irt-service
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This commit is contained in:
Adrian Manteza 2022-03-15 20:39:26 +00:00
parent ddb8efc79f
commit cc704d97da
3 changed files with 65 additions and 26 deletions
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10
app/models/bundle.py
View File

@ -15,12 +15,14 @@ class Bundle(BaseModel):
type: str
def tif(self, irt_model: IRTModel, theta: float) -> float:
return TestInformationFunction(irt_model).calculate(self.items,
theta=theta)
return 0.9
# return TestInformationFunction(irt_model).calculate(self.items,
# theta=theta)
def trf(self, irt_model: IRTModel, theta: float) -> float:
return TestResponseFunction(irt_model).calculate(self.items,
theta=theta)
return 0.9
# return TestResponseFunction(irt_model).calculate(self.items,
# theta=theta)
def tif_trf_sum(self, solver_run):
return self.__trf_sum(solver_run) + self.__tif_sum(solver_run)

10
app/models/item.py
View File

@ -14,12 +14,14 @@ class Item(BaseModel):
b_param: float = 0.00
def iif(self, solver_run, theta):
return ItemInformationFunction(solver_run.irt_model).calculate(
b_param=self.b_param, theta=theta)
return 0.9
# return ItemInformationFunction(solver_run.irt_model).calculate(
# b_param=self.b_param, theta=theta)
def irf(self, solver_run, theta):
return ItemResponseFunction(solver_run.irt_model).calculate(
b_param=self.b_param, theta=theta)
return 0.9
# return ItemResponseFunction(solver_run.irt_model).calculate(
# b_param=self.b_param, theta=theta)
def get_attribute(self, ref_attribute):
for attribute in self.attributes:

71
app/services/loft_service.py
View File

@ -67,8 +67,10 @@ class LoftService(Base):
solution = Solution(response_id=random.randint(100, 5000), forms=[]) # unsolved solution
# setup common Solver variables
items = LpVariable.dicts("Item", [item.id for item in self.solver_run.items], cat='Binary')
bundles = LpVariable.dicts("Bundle", [bundle.id for bundle in self.solver_run.bundles], cat='Binary')
items = LpVariable.dicts("Item", [item.id for item in self.solver_run.items], upBound=1, lowBound=0, cat='Binary')
bundles = LpVariable.dicts("Bundle", [bundle.id for bundle in self.solver_run.bundles], upBound=1, lowBound=0, cat='Binary')
# items = LpVariable.dicts("Item", [item.id for item in self.solver_run.items], cat='Binary')
# bundles = LpVariable.dicts("Bundle", [bundle.id for bundle in self.solver_run.bundles], cat='Binary')
# iterate for number of forms that require creation
for form_count in range(self.solver_run.total_forms):
@ -85,16 +87,14 @@ class LoftService(Base):
# objective function
problem += lpSum(
[item.iif_irf_sum(self.solver_run) * items[item.id] for item in self.solver_run.items]
[item.iif_irf_sum(self.solver_run) * items[item.id] for item in self.solver_run.unbundled_items()]
+
[bundle.tif_trf_sum(self.solver_run) * bundles[bundle.id] for bundle in self.solver_run.bundles]
)
# problem += lpSum([items[item.id] for item in self.solver_run.unbundled_items()] + [bundles[bundle.id] for bundle in self.solver_run.bundles])
# problem += lpSum([items[item.id] for item in self.solver_run.items])
# Form Constraints
problem += lpSum(
[items[item.id] for item in self.solver_run.items]
) == self.solver_run.total_form_items, f'Total form items for form {form_number}'
problem += lpSum(
[
bundle.count * bundles[bundle.id] for bundle in self.solver_run.bundles
@ -104,6 +104,12 @@ class LoftService(Base):
]
) == self.solver_run.total_form_items, f'Total bundle form items for form {form_number}'
# problem += lpSum(
# [
# 1 * items[item.id] for item in self.solver_run.items
# ]
# ) == self.solver_run.total_form_items, f'Total bundle form items for form {form_number}'
# Dynamic constraints.. currently we only support Metadata and Bundles(Cases/Passages)
problem = solver_helper.build_constraints(self.solver_run, problem, items, bundles)
@ -118,10 +124,9 @@ class LoftService(Base):
] +
[
item.iif(self.solver_run, tif_target.theta) * items[item.id]
for item in self.solver_run.items
for item in self.solver_run.unbundled_items()
]
) >= tif_target.value - (tif_target.value * drift_percent)
problem += lpSum(
[
bundle.tif(self.solver_run.irt_model, tif_target.theta) * bundles[bundle.id]
@ -129,10 +134,23 @@ class LoftService(Base):
] +
[
item.iif(self.solver_run, tif_target.theta) * items[item.id]
for item in self.solver_run.items
for item in self.solver_run.unbundled_items()
]
) <= tif_target.value + (tif_target.value * drift_percent)
# problem += lpSum(
# [
# item.iif(self.solver_run, tif_target.theta) * items[item.id]
# for item in self.solver_run.items
# ]
# ) >= tif_target.value - (tif_target.value * drift_percent)
# problem += lpSum(
# [
# item.iif(self.solver_run, tif_target.theta) * items[item.id]
# for item in self.solver_run.items
# ]
# ) <= tif_target.value + (tif_target.value * drift_percent)
for tcc_target in self.solver_run.objective_function.tcc_targets:
problem += lpSum(
[
@ -141,10 +159,9 @@ class LoftService(Base):
] +
[
item.irf(self.solver_run, tcc_target.theta) * items[item.id]
for item in self.solver_run.items
for item in self.solver_run.unbundled_items()
]
) >= tcc_target.value - (tcc_target.value * drift_percent)
problem += lpSum(
[
bundle.trf(self.solver_run.irt_model, tcc_target.theta) * bundles[bundle.id]
@ -152,24 +169,40 @@ class LoftService(Base):
] +
[
item.irf(self.solver_run, tcc_target.theta) * items[item.id]
for item in self.solver_run.items
for item in self.solver_run.unbundled_items()
]
) <= tcc_target.value + (tcc_target.value * drift_percent)
# problem += lpSum(
# [
# item.irf(self.solver_run, tcc_target.theta) * items[item.id]
# for item in self.solver_run.items
# ]
# ) >= tcc_target.value - (tcc_target.value * drift_percent)
# problem += lpSum(
# [
# item.irf(self.solver_run, tcc_target.theta) * items[item.id]
# for item in self.solver_run.items
# ]
# ) <= tcc_target.value + (tcc_target.value * drift_percent)
logging.info(f'Solving for Form {form_number} with a drift of {current_drift}%')
problem.solve()
if LpStatus[problem.status] == 'Infeasible':
logging.info(f'attempt infeasible for drift of {current_drift}%')
for v in problem.variables():
print(v.name, "=", v.varValue)
print(problem.objective.value())
print(problem.objective)
# print(problem.objective.value())
# print(problem.constraints)
# print(problem.objective)
if current_drift == Target.max_drift(): # this is the last attempt, so lets finalize the solution
logging.info(f'No feasible solution found for Form {form_number}%!')
for v in problem.variables(): print(v.name, "=", v.varValue);
breakpoint()
logging.info(f'No feasible solution found for Form {form_number}!')
self.add_form_to_solution(problem, solution)
@ -177,6 +210,8 @@ class LoftService(Base):
current_drift += Target.max_drift_increment()
else:
for v in problem.variables(): print(v.name, "=", v.varValue);
breakpoint()
logging.info(f'Optimal solution found with drift of {current_drift}%!')
self.add_form_to_solution(problem, solution)