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deleted old hubspot data from asset list app

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Khalim Conn-Kowlessar 2025-06-05 18:14:14 +01:00
parent 1a49740bb0
commit dd2a04f05e
1 changed files with 0 additions and 42 deletions
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42
asset_list/app.py
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@ -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)