From dd2a04f05e698b549815b5ab62219cd953c29f60 Mon Sep 17 00:00:00 2001
From: Khalim Conn-Kowlessar <kconnkowlessar@gmail.com>
Date: Thu, 5 Jun 2025 18:14:14 +0100
Subject: [PATCH] deleted old hubspot data from asset list app

---
 asset_list/app.py | 42 ------------------------------------------
 1 file changed, 42 deletions(-)

diff --git a/asset_list/app.py b/asset_list/app.py
index 41623880..5e62bbe1 100644
--- a/asset_list/app.py
+++ b/asset_list/app.py
@@ -484,45 +484,6 @@ def app():
 
     asset_list.block_analysis()
 
-    asset_list.load_contact_details(
-        local_filepath=os.path.join(data_folder, "Full property list wth D&V report V look up 12.2.25.xlsx"),
-        sheet_name="Report 1",
-        landlord_property_id=asset_list.landlord_property_id,
-        phone_number_column='Property Current Tel. Number',
-        fullname_column='Proeprty Current Occupant',
-        firstname_column=None,
-        lastname_column=None,
-        email_column=None,  # TODO - we need this
-    )
-
-    # Convert to a format suitable for CRM
-    # TODO: TEMP
-    assigned_surveyors = pd.DataFrame(
-        [
-            {
-                asset_list.landlord_property_id: "02610001",
-                "week_commencing": "10/10/2025",
-                "surveyor_name": "Khalim Conn-Kowlessar",
-                "surveyor_email": "khalim@domna.homes",
-            }
-        ]
-    )
-
-    # TODO: Sort the output by postcode
-
-    company_domain = "ealing.gov.uk"
-    crm_pipeline_name = "Survey Management"
-    first_dealstage = "READY TO BEGIN SCHEDULING"
-    # TODO - temp, upload to either SharePoint or AWS
-
-    asset_list.prepare_for_crm(
-        assigned_surveyors=assigned_surveyors,
-        company_domain=company_domain,
-        crm_pipeline_name=crm_pipeline_name,
-        first_dealstage=first_dealstage
-    )
-    hubspot_data = asset_list.hubspot_data
-
     # Store as an excel
     filename = os.path.join(data_folder, ".".join(data_filename.split(".")[:-1])) + " - Standardised.xlsx"
     # Store the data in two tabs. One for the asset list with the EPC data and the second with the flat data
@@ -543,6 +504,3 @@ def app():
 
         if not asset_list.ecosurv_no_match.empty:
             asset_list.ecosurv_no_match.to_excel(writer, sheet_name="Unmatched Ecosurv", index=False)
-
-    # Store the Hubspot export as a csv
-    hubspot_data.to_csv(os.path.join(data_folder, "Hubspot Export.csv"), index=False)