added mountview and more uprns to excclusions

|

etl/ownership/config.py

@@ -4,9 +4,28 @@ OWNERS_WHO_CANT_SELL = [
     "4483430",
     # Ultrabarn - they're unwilling to sell and will sort any retrofits themselves
     "2794851"
+    # Mountview - Anna spoke with someone from Mounview - they acquire tenancies and sell them as soon as they become
+    # vacant. They have no immediate opportunities but we may come back and remove this
+    "328090"
 ]
 
 EXCLUDED_UPRNS = [
     # This property no longer exists
-    200003827624
+    200003827624,
+    # This property doesn't seem to exist
+    90070698,
+    # Can't really find a solid record on Zoopla/Rightmove
+    10090437990,
+    # This property doesn't seem to exist
+    100070902790,
+    # This property doesn't seem to exist
+    100070902791,
+    # This property doesn't seem to exist
+    100031997775,
+    # Can't find reliable information to this property on zoopla/rightmove
+    200001372608,
+    # Can't find reliable information to this property on zoopla/rightmove
+    100031592801,
+    # Can't find reliable information to this property on zoopla/rightmove
+    100031579087,
 ]

etl/ownership/projects/midlands_portfolio/app.py

@@ -166,7 +166,8 @@ def app():
     # We read in the current valuation data and identify if there are any uprns that need to be added
     previous_valuations = pd.read_excel(
         "/Users/khalimconn-kowlessar/Documents/hestia/Customers/sfr/sfr property valuations.xlsx")
-    asset_list[~asset_list["uprn"].astype(str).isin(previous_valuations["uprn"].astype(str))]
+    missed = asset_list[~asset_list["uprn"].astype(str).isin(previous_valuations["uprn"].astype(str))]
+    missed.to_csv("missed_valuations.csv")
 
     # We now need a distinct step to prepare final outputs
     portfolio_timestamp = "2024-08-20 15:51:10.292075"