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working on the costing methodology

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Khalim Conn-Kowlessar 2024-10-25 19:32:15 +01:00
parent 93d375bc7a
commit 854c784bd9
1 changed files with 19 additions and 3 deletions
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22
etl/customers/aiha/xml_extraction.py
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@ -3,6 +3,7 @@ from io import BytesIO
import pandas as pd
from etl.ownership.config import EXCLUDED_UPRNS
from etl.xml_survey_extraction.XmlParser import XmlParser
SURVEY_FOLDER_PATH = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/AIHA/RESIDENT SURVEYS"
@ -91,6 +92,7 @@ def main():
# - AIH001-11 - The layout of this unit is confusing, is there roof access?
# - AIH001-12 - Why was there not access to the cylinder?
# - AIH001-12 - Is the need to draught proofing due to the windows?
# - AIH001-04 - is the flat roof area correct?
recommended_measures = [
{
@ -132,6 +134,7 @@ def main():
{
"measure": "Loft Insulation",
"description": "300mm loft insulation",
"floor_area": 80, # Based on area of 1st floor
"sap_points": 8,
"ending_sap": 61
},
@ -152,6 +155,7 @@ def main():
{
"measure": "Flat Roof Insulation",
"description": "100mm flat roof insulation",
"floor_area": 39.1482, # based on area of top floor
"sap_points": 4,
"ending_sap": 52
},
@ -185,6 +189,7 @@ def main():
{
"measure": "Flat Roof Insulation",
"description": "100mm flat roof insulation",
"floor_area": 49.48, # based on area of top floor
"sap_points": 5,
"ending_sap": 59,
},
@ -256,6 +261,7 @@ def main():
{
"measure": "Loft Insulation",
"description": "300mm loft insulation",
"floor_area": 54.2864, # Based on area of top floor
"sap_points": 2,
"ending_sap": 58,
},
@ -390,6 +396,7 @@ def main():
{
"measure": "Flat Roof Insulation",
"description": "100mm flat roof insulation",
"floor_area": 33.06, # Based on area of the extension
"sap_points": 2,
"ending_sap": 61,
},
@ -445,7 +452,8 @@ def main():
},
{
"measure": "Loft Insulation",
"description": "300mm loft insulation",
"description": "300mm loft insulation", # Based on area of main building
"floor_area": 59.20,
"sap_points": 1,
"ending_sap": 69,
},
@ -511,10 +519,18 @@ def main():
n_floors = property_data["number_of_floors"]
cost_of_scalfolding = [x for x in scaffolding_data if x["number_of_floors"] == n_floors][0]["price"]
measure["Total Cost"] = float(measure_pricing["unit_price"].values[0]) + cost_of_scalfolding
continue
blah
if measure_unit == "floor_m2":
floor_area = measure["floor_area"]
measure["Total Cost"] = float(measure_pricing["unit_price"].values[0]) * floor_area
continue
measure["total"] = pricing_data[pricing_data["item"] == measure["measure"]]["unit_price"].values[0]
if measure_unit == "hlp_m2":
hlp = measure["hlp"]
measure["Total Cost"] = float(measure_pricing["unit_price"].values[0]) * hlp
raise Exception("Unknown unit type")
# Step 1: Normalize the recommended_measures data into a DataFrame.
normalized_measures = []