added excluded uprns

etl/ownership/Ownership.py

@@ -60,6 +60,7 @@ class Ownership:
         average_property_value: float,
         portfolio_value: float,
         excluded_owners: List[str] = None,
+        excluded_uprns: List[int] = None,
     ):
         """
 
@@ -85,6 +86,7 @@ class Ownership:
         self.land_registry_path = land_registry_path
 
         self.excluded_owners = [] if excluded_owners is None else excluded_owners
+        self.excluded_uprns = [] if excluded_uprns is None else excluded_uprns
 
         self.run_timestamp = str(datetime.now())
         self.project_name = project_name
@@ -204,6 +206,10 @@ class Ownership:
             data.append(epc_data)
 
         self.epc_data = pd.concat(data, ignore_index=True)
+
+        if self.excluded_uprns:
+            self.epc_data = self.epc_data[~self.epc_data["UPRN"].astype(float).isin(self.excluded_uprns)]
+
         # We now store the data in s3
         save_excel_to_s3(
             df=self.epc_data,

etl/ownership/config.py

@@ -1,5 +1,12 @@
 # These are the registration numbers for companies we've heard a reponse from, and cannot sell
 OWNERS_WHO_CANT_SELL = [
-    # Al Rayan
-    "4483430"
+    # Al Rayan - they're the senior lender, not able to sell
+    "4483430",
+    # Ultrabarn - they're unwilling to sell and will sort any retrofits themselves
+    "2794851"
+]
+
+EXCLUDED_UPRNS = [
+    # This property no longer exists
+    200003827624
 ]

etl/ownership/projects/midlands_portfolio/app.py

@@ -1,8 +1,9 @@
+import pandas as pd
 from sqlalchemy.orm import sessionmaker
 from backend.app.db.connection import db_engine
 from backend.app.db.models.portfolio import Portfolio, PortfolioUsers
 from etl.ownership.Ownership import Ownership
-from etl.ownership.config import OWNERS_WHO_CANT_SELL as EXCLUDED_OWNERS
+from etl.ownership.config import OWNERS_WHO_CANT_SELL as EXCLUDED_OWNERS, EXCLUDED_UPRNS
 from utils.s3 import save_csv_to_s3
 
 # Set up the project configuration
@@ -122,7 +123,8 @@ def app():
         bucket=DATA_BUCKET,
         average_property_value=PROPERTY_VALUE_ESTIMATE,
         portfolio_value=PORTFOLIO_VALUE,
-        excluded_owners=EXCLUDED_OWNERS
+        excluded_owners=EXCLUDED_OWNERS,
+        excluded_uprns=EXCLUDED_UPRNS
     )
     ownership_instance.pipeline(column_filters=epc_column_filters)