Update data for MA DOER release 5-15-2024

retrieved from https://www.mass.gov/doc/building-energy-code-adoption-by-municipality/download

Also pushed out enddate for timeline on map.

Author: hamogu

code_dates.dat

@@ -199,15 +199,15 @@ Montgomery 819 X
 Mount Washington 160 X
 Nahant 3,334 7/1/2018
 Nantucket 14,255 9/1/2019
-Natick 37,006 1/1/2011 1/1/2025
+Natick 37,006 1/1/2011 7/1/2025
 Needham 32,091 7/1/2019 7/1/2024
 New Ashford 250 X
 New Bedford 101,079 7/1/2017
 New Braintree 996 1/1/2018
 New Marlborough 1,528 X
 New Salem 983 7/1/2011
 Newbury 6,716 1/1/2021
-Newburyport 18,289 7/1/2011
+Newburyport 18,289 7/1/2011 7/1/2025
 Newton 88,923 7/1/2010 1/1/2024
 Norfolk 11,662 1/1/2018
 North Adams 12,961 7/1/2011
@@ -316,7 +316,7 @@ Warren 4,975 1/1/2017
 Warwick 780 7/7/2015
 Washington 494 7/1/2018
 Watertown 35,329 7/1/2011 7/1/2023
-Wayland 13,943 7/1/2011
+Wayland 13,943 7/1/2011 1/1/2025
 Webster 17,776 1/1/2018
 Wellesley 29,550 1/1/2012 1/1/2024
 Wellfleet 3,566 1/1/2015 1/1/2024

docs/MA_energy_codes_town.js

@@ -9,6 +9,11 @@
 # Downloaded data is passed to https://mapshaper.org/
 # and simplified to > 5 % of the original file size, fixing any line crossings.
 # The resulting data is saved as MA_towns.json into this repository.
+
+# Date a which the timeline ends. Needs to be later than the last date in the data
+# but it's eaiser to update here by hand than to search through the data to find it.
+enddate = "01/02/2026"
+
 with open('MA_towns.json') as f:
     data = json.load(f)
 
@@ -77,13 +82,22 @@ def USdate_to_ISO(datestr, subtractdays=0):
     # Special case for towns that left the stretch code program
     if name == 'Essex':
         feature['properties']['stretchcode'] = '1/1/2015 - 5/8/2023'
-        dates = [('01/01/2009', 0), ('01/01/2015', 1), ('05/08/2023', -1), ('01/02/2025', None)]
+        dates = [
+            ("01/01/2009", 0),
+            ("01/01/2015", 1),
+            ("05/08/2023", -1),
+            (enddate, None),
+        ]
     elif name == 'Rochester':
         feature['properties']['stretchcode'] = '1/1/2019 - 5/22/2023'
-        dates = [('01/01/2009', 0), ('01/01/2019', 1), ('05/22/2023', -1), ('01/02/2025', None)]
+        dates = [
+            ("01/01/2009", 0),
+            ("01/01/2019", 1),
+            ("05/22/2023", -1),
+            (enddate, None),
+        ]
     else:
-
-        dates = [('01/01/2009', 0), ('01/02/2025', None)]
+        dates = [("01/01/2009", 0), (enddate, None)]
         if name in stretch_code:
             dates.append((stretch_code.get(name), 1))
         if name in specialized_opt_in: