From 02399667798370cab35608dc5edac17db7de1960 Mon Sep 17 00:00:00 2001
From: Khalim Conn-Kowlessar <kconnkowlessar@gmail.com>
Date: Tue, 16 Apr 2024 11:32:15 +0100
Subject: [PATCH] setting up non-invasive recommendations

---
 etl/customers/immo/pilot/asset_list.py | 29 +++++++++++++++++++++++++-
 1 file changed, 28 insertions(+), 1 deletion(-)

diff --git a/etl/customers/immo/pilot/asset_list.py b/etl/customers/immo/pilot/asset_list.py
index e587cc25..614fa8a0 100644
--- a/etl/customers/immo/pilot/asset_list.py
+++ b/etl/customers/immo/pilot/asset_list.py
@@ -21,6 +21,7 @@ council_tax_bands = pd.DataFrame(council_tax_bands)
 
 # This is information we need to override on the EPC itself, for instance if a new survey has been conducted and
 # that has not reached the API
+# For 53 Bromley, the non-invasives found the walls to be partially filled
 patches = [
     {
         'address': '6 Beech Road', 'postcode': 'DY1 4BP',
@@ -42,7 +43,11 @@ patches = [
         'energy-consumption-current': '491',
         'co2-emissions-current': '5.0',
         'potential-energy-efficiency': '87'
-    }
+    },
+    {
+        'address': '53 Bromley', 'postcode': 'DY5 4PJ',
+        'walls-description': 'Cavity wall, partial insulation',
+    },
 ]
 
 # This is information that is found as a result of the non-invasives, that mean that certain measures
@@ -56,6 +61,19 @@ already_installed = [
     }
 ]
 
+non_invasive_recommendations = [
+    {'address': '8 Corporation Road', 'postcode': 'DY2 7PX', 'recommendations': []},
+    {'address': '21 Wells Road', 'postcode': 'DY5 3TB', 'recommendations': ['cavity_extract_and_refill']},
+    {'address': '27 Milton Road', 'postcode': 'WV14 8HZ', 'recommendations': ['cavity_extract_and_refill']},
+    {'address': '195 Ashenhurst Road', 'postcode': 'DY1 2JB', 'recommendations': ['cavity_extract_and_refill']},
+    {'address': '53 Bromley', 'postcode': 'DY5 4PJ', 'recommendations': ['cavity_surveyed_as_filled_is_partial']},
+    {'address': '91 Osprey Drive', 'postcode': 'DY1 2JS', 'recommendations': ['cavity_extract_and_refill']},
+    {'address': '47 Fairfield Road', 'postcode': 'DY8 5UJ', 'recommendations': ['cavity_extract_and_refill']},
+    {'address': '150 Huntingtree Road', 'postcode': 'B63 4HP', 'recommendations': ['cavity_extract_and_refill']},
+    {'address': '6 Beech Road', 'postcode': 'DY1 4BP', 'recommendations': []},
+    {'address': '5 Oaklands', 'postcode': 'B62 0JA', 'recommendations': ['cavity_extract_and_refill']},
+]
+
 
 def app():
     raw_asset_list = read_excel_from_s3(
@@ -102,6 +120,14 @@ def app():
         file_name=patches_filename
     )
 
+    # Store non-invasive recommendations in S3
+    non_invasive_recommendations_filename = f"{USER_ID}/{PORTFOLIO_ID}/non_invasive_recommendations.json"
+    save_csv_to_s3(
+        dataframe=pd.DataFrame(non_invasive_recommendations),
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=non_invasive_recommendations_filename
+    )
+
     # EPC C portoflio
     body = {
         "portfolio_id": str(PORTFOLIO_ID),
@@ -111,6 +137,7 @@ def app():
         "trigger_file_path": filename,
         "already_installed_file_path": already_installed_filename,
         "patches_file_path": patches_filename,
+        "non_invasive_recommendations_file_path": non_invasive_recommendations_filename,
         "budget": None,
     }
     print(body)