Added back in filling of age with national average

etl/eligibility/ha_15_32/ha_analysis_batch_3.py

@@ -610,6 +610,27 @@ def get_epc_data(
             )
 
 
+def analyse_ha_data():
+    """
+    The approach we take within this function is the following:
+    For properties that have been identified by warmfront as eligible properties, characterise them by scheme. The
+    characterisation can be broken down as the following:
+    1) The property has been identified by Warmfront and is eligible for ECO4/GBIS work, under the strictest criteria
+    2) The property has been identified by Warmfront, however it has a full cavity, and therefore would be subject to
+    a CIGA check
+    3) The property has been identified by Warmfront, but the EPC shows that the property has more than 100mm loft
+    insulation
+    4) The property has been identified by Warmfront, but doesn't look like a property that would likely qualify under
+    any cirsumstances, given the available data
+
+    Then, for any property that has NOT been identifid by Warmfront, we identify properties that look like they would
+    qualify under the strictest criteria, and mark these as potential additional opportunities.
+
+    :return:
+    """
+    pass
+
+
 def app():
     """
     This app contains the housign association analysis for HAs 1, 6, 14, 39 and 107.

etl/epc/Record.py

@@ -645,7 +645,9 @@ class EPCRecord:
             self.prepared_epc["construction-age-band"] = self.construction_age_band
 
         if self.age_band is None:
-            raise ValueError("age_band is missing")
+            self.age_band = "C"
+            self.construction_age_band = "England and Wales: 1930-1949"
+            self.prepared_epc["construction-age-band"] = self.construction_age_band
 
     def _clean_year_built(self):
         """