made tests pass and redploy

.github/workflows/deploy_terraform.yml

@@ -204,3 +204,6 @@ jobs:
       AWS_ACCESS_KEY_ID: ${{ secrets.DEV_AWS_ACCESS_KEY_ID }}
       AWS_SECRET_ACCESS_KEY: ${{ secrets.DEV_AWS_SECRET_ACCESS_KEY }}
       AWS_REGION: ${{ secrets.DEV_AWS_REGION }}
+
+
+

backend/address2UPRN/main.py

@@ -329,6 +329,7 @@ def get_uprn_candidates(
 def get_uprn_with_epc_df(
     user_inputed_address: str,
     epc_df: pd.DataFrame,
+    verbose=False,
 ):
     """
     Return uprn (str) using a pre-fetched EPC dataframe.
@@ -377,15 +378,16 @@ def get_uprn_with_epc_df(
     if found_uprn == "":
         return None
 
-    return (found_uprn, address, score)
+    if verbose:
+        return (found_uprn, address, score)
+    else:
+        return found_uprn
 
 
 def get_uprn(
     user_inputed_address: str,
     postcode: str,
-    return_address=False,
-    return_EPC=False,
-    return_score=True,
+    verbose=False,
 ):
     """
     Return uprn (str)
@@ -400,9 +402,7 @@ def get_uprn(
     return get_uprn_with_epc_df(
         user_inputed_address=user_inputed_address,
         epc_df=df,
-        return_address=return_address,
-        return_EPC=return_EPC,
-        return_score=return_score,
+        verbose=verbose,
     )
 
 
@@ -727,8 +727,7 @@ def handler(event, context, local=False):
 
                         # Get UPRN using the pre-fetched EPC data with all return options
                         result = get_uprn_with_epc_df(
-                            user_inputed_address=user_input,
-                            epc_df=epc_df,
+                            user_inputed_address=user_input, epc_df=epc_df, verbose=True
                         )
 
                         # Parse result tuple if successful

backend/postcode_splitter/main.py

@@ -168,7 +168,7 @@ def handler(event, context, local=False):
             # TODO: DELETE ME, if you see this in the PR.
             # TODO: DELETE ME, if you see this in the PR.
             # TODO: DELETE ME, if you see this in the PR.
-            df = df.head(5)
+            df = df.head(1983)
 
             logger.info(f"CSV loaded: {len(df)} rows, {len(df.columns)} columns")