hack to handle gass bills (for now), seems we have more than 4 for a quarterly cycle, and they are all over the shop/inconsistent. Added thoughts on how to tackle in TODO

TODO

@@ -1,6 +1,15 @@
 UI:
 
 For bills:
+    * gas bills are a mess and more than 4 per year... *SIGH* try this:
+        - if len(bills) > num_ann_bills (effectively too many bills for what we expect)
+        - normalise by looping over *EVERY* year of bills
+        - for each bill in yr:
+            - pb=find_prev_bill( bill )...
+            - calc days between pb and bill to get daily cost
+            - work out qtr() and take # days from bill in Qtr X and add it to Q[X]
+            - if # days i X+1 add those to Q[X+1]
+        - then need to be careful when working out totals/growth to use Q[...] not bill['year']
     * growth for internet/monthly is a bit skewed.... Really think min/avg/max might need to be smarter
         - at least max, its 114-134 BUT, not in 1 year, really that changed from 2022 to 2025, so 3 years... (or max = 18% over 3 years, or 6%)
         -- so ann_growth_avg or max needs to factor in years of same prices

bills.py

@@ -259,7 +259,7 @@ def derive_ann_growth( bill_type, bill_info ):
     total={}
     for yr in range( bill_info[bill_type]['first_bill_year'], now_yr+1):
         # if not enough bills in this year (or none), then try next year (first year might have not enough bills)
-        if yr not in bill_info[bill_type]['year'] or len(bill_info[bill_type]['year'][yr]) != bill_info[bill_type]['num_ann_bills']:
+        if yr not in bill_info[bill_type]['year'] or len(bill_info[bill_type]['year'][yr]) < bill_info[bill_type]['num_ann_bills']:
             continue;
 
         # just going to make sure we dont use estimated data in the last year of real data - can skew growths
@@ -274,6 +274,8 @@ def derive_ann_growth( bill_type, bill_info ):
         total[yr] = 0
         for b in bill_info[bill_type]['year'][yr]:
             total[yr] += b['amount']
+        if bill_type == 3:
+            print( f"total[{yr}]={total[yr]}" )
 
     # once we have all yr totals:
     growth = {}
@@ -293,6 +295,9 @@ def derive_ann_growth( bill_type, bill_info ):
             if growth > max_growth:
                 max_growth = growth
     if count:
+        if min_growth< 0: min_growth=0
+        if avg_growth< 0 or avg_growth > 10: avg_growth = 3*count
+        if max_growth>10 : max_growth = 9.99
         set_bill_type_growth( bill_type, min_growth, avg_growth/count, max_growth )
     else:
         # failsafe (just in case fill bills failed to add enough bills to average out)