just update the Target drift attribute to so we dont have to inject the drift_percent every single time
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@ -30,6 +30,12 @@ class ObjectiveFunction(BaseModel):
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print(self.tcc_targets)
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return amount
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def update_targets_drift(self, amount: float = 0.0):
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for target in self.tif_targets:
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target.drift = round(amount, 2)
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for target in self.tcc_targets:
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target.drift = round(amount, 2)
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def minimum_drift(self) -> float:
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minimum_drift = 0.0
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@ -15,8 +15,8 @@ class Target(BaseModel):
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def max_drift_increment(cls) -> int:
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return 1 # 10%
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def minimum(self, drift_percent = 0.0) -> float:
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return self.value - (self.value * drift_percent)
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def minimum(self) -> float:
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return self.value - (self.value * self.drift)
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def maximum(self, drift_percent = 0.0) -> float:
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return self.value + (self.value * drift_percent)
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def maximum(self) -> float:
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return self.value + (self.value * self.drift)
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@ -80,6 +80,7 @@ class LoftService(Base):
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while current_drift <= Target.max_drift():
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drift_percent = current_drift / 100
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self.solver_run.objective_function.update_targets_drift(drift_percent)
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# create problem
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problem = LpProblem('ata-form-generate', LpMinimize)
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@ -120,7 +121,7 @@ class LoftService(Base):
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item.iif(self.solver_run, tif_target.theta) * items[item.id]
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for item in self.solver_run.unbundled_items()
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]
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) >= tif_target.minimum(drift_percent), f'Min TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%'
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) >= tif_target.minimum(), f'Min TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%'
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problem += lpSum(
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[
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bundle.tif(self.solver_run.irt_model, tif_target.theta) * bundles[bundle.id]
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@ -130,7 +131,7 @@ class LoftService(Base):
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item.iif(self.solver_run, tif_target.theta) * items[item.id]
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for item in self.solver_run.unbundled_items()
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]
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) <= tif_target.maximum(drift_percent), f'Max TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%'
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) <= tif_target.maximum(), f'Max TIF theta({tif_target.theta}) at target {tif_target.value} drift at {current_drift}%'
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for tcc_target in self.solver_run.objective_function.tcc_targets:
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problem += lpSum(
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@ -142,7 +143,7 @@ class LoftService(Base):
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item.irf(self.solver_run, tcc_target.theta) * items[item.id]
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for item in self.solver_run.unbundled_items()
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]
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) >= tcc_target.minimum(drift_percent), f'Min TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%'
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) >= tcc_target.minimum(), f'Min TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%'
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problem += lpSum(
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[
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bundle.trf(self.solver_run.irt_model, tcc_target.theta) * bundles[bundle.id]
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@ -152,7 +153,7 @@ class LoftService(Base):
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item.irf(self.solver_run, tcc_target.theta) * items[item.id]
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for item in self.solver_run.unbundled_items()
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]
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) <= tcc_target.maximum(drift_percent), f'Max TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%'
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) <= tcc_target.maximum(), f'Max TCC theta({tcc_target.theta}) at target {tcc_target.value} drift at {current_drift}%'
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logging.info(f'Solving for Form {form_number} with a drift of {current_drift}%')
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problem.solve()
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