realised not specifying diagnosis_date so being randomly set

Signed-off-by: anchit-chandran <anchit97123@gmail.com>

project/npda/kpi_class/kpis.py

@@ -3277,11 +3277,31 @@ def calculate_kpi_45_median_hba1c(
         ).values("patient__postcode", "hba1c", "patient__pk")
 
         # debugging
-        from pprint import pprint
+        from pprint import pprint, pformat
+        tmp_pts_data = defaultdict(list)
         for v in Visit.objects.all().values('visit_date', 'hba1c_date','patient__diagnosis_date', 'hba1c', 'patient__postcode'):
-            pprint(v)
+            tmp_pts_data[(v['patient__postcode'], v['patient__diagnosis_date'])].append({
+                v['visit_date']: {
+                    'hba1c_date': v['hba1c_date'],
+                    'hba1c': v['hba1c'],
+                }
+            })
+        for (pt_name, diagnosis_date), visit_data in tmp_pts_data.items():
+            print(f'{pt_name=}, diagnosed on {diagnosis_date}')
+            pprint(visit_data)
             print()
-
+        breakpoint()
+            # diagnosis_date = v['patient__diagnosis_date']
+            # hba1c_date = v['hba1c_date']
+            # print(f'{v["patient__postcode"]}')
+            # print(f"{v['patient__diagnosis_date']=}  {v['hba1c_date']=}")
+            # if diagnosis_date and hba1c_date:
+            #     print(f"Measurement taken {v['hba1c_date'] - v['patient__diagnosis_date']} days after diagnosis: {'excluded' if (hba1c_date - diagnosis_date).days < 90 else 'included'}")
+            # else:
+            #     print(f"Taken after 90 days of diabetes diagnosis: False")
+            # print(f"{v['visit_date']=}")
+            # print(f"{v['hba1c']=}")
+            # print()
 
         # Group HbA1c values by patient ID into a list so can use
         # calculate_median method