handle items with poorly formatted b params, and mmoved to single objective function

app/helpers/service_helper.py

@@ -13,20 +13,22 @@ def items_csv_to_dict(items_csv_reader, irt_model):
     else:
       item = { 'attributes': [] }
 
-      for key, col in enumerate(headers):
-        if key == 0:
-          item[col] = row[key]
-        # b param - tmep fix! use irt model b param for proper reference
-        elif key == (1 - len(headers)):
-          item['b_param'] = row[key]
-        elif key > 1:
-          item['attributes'].append({
-            'id': col,
-            'value': row[key],
-            'type': 'metadata'
-          })
+      # ensure that the b param is formatted correctly
+      if len(re.findall(".", row[len(headers) - 1])) >= 3:
+        for key, col in enumerate(headers):
+          if key == 0:
+            item[col] = row[key]
+          # b param - tmep fix! use irt model b param for proper reference
+          elif key == len(headers) - 1:
+            item['b_param'] = row[key]
+          elif key > 1 and key < len(headers) - 1:
+            item['attributes'].append({
+              'id': col,
+              'value': row[key],
+              'type': 'metadata'
+            })
 
-      items.append(item)
+        items.append(item)
 
   return items
 

app/main.py

@@ -19,9 +19,9 @@ class ServiceListener(SqsListener):
     logging.info('Process complete for %s', service.file_name)
 
 def main():
-  logging.info('Starting Solver Service (v1.0.1)...')
+  logging.info('Starting Solver Service (v1.0.9)...')
   listener = ServiceListener(
-    'measure-development-solver-ingest',
+    os.environ['SQS_QUEUE'],
     region_name=os.environ['AWS_REGION'],
     aws_access_key=os.environ['AWS_ACCESS_KEY_ID'],
     aws_secret_key=os.environ['AWS_SECRET_ACCESS_KEY'],

app/services/loft_service.py

@@ -63,6 +63,7 @@ class LoftService(Base):
       # create problem
       problem = LpProblem("ata-form-generate", LpMinimize)
 
+      # dummy objective function, because it just makes things easier™
       problem += lpSum([items[item.id]
                     for item in self.solver_run.items])
 
@@ -75,21 +76,14 @@ class LoftService(Base):
 
       # multi-objective functions and constraints
       for target in self.solver_run.objective_function.tif_targets:
-          # tif = lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
-          #             for item in self.solver_run.items])
           problem += lpSum([item.iif(self.solver_run, target.theta)*items[item.id]
                          for item in self.solver_run.items]) <= target.value, f'min tif theta ({target.theta}) target value {target.value}'
-          # problem_objection_functions.append(tif)
 
       for target in self.solver_run.objective_function.tcc_targets:
-          # tcc = lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
-          #             for item in self.solver_run.items])
           problem += lpSum([item.irf(self.solver_run, target.theta)*items[item.id]
                          for item in self.solver_run.items]) <= target.value, f'min tcc theta ({target.theta}) target value {target.value}'
-          # problem_objection_functions.append(tcc)
 
       # solve problem
-      # problem.sequentialSolve(problem_objection_functions)
       problem.solve()
 
       # add return items and create as a form