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123 lines
3.2 KiB
Python
123 lines
3.2 KiB
Python
import pandas as pd
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from utils.s3 import save_csv_to_s3
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PORTFOLIO_ID = 115
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USER_ID = 8
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def app():
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"""
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Used to set up the remote assessments for Warwick
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"""
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asset_list = [
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{
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"uprn": 10033604792,
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"address": "Flat 2, 3 Green Street",
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"postcode": "W1K 6RN"
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},
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{
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"uprn": 10033604794,
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"address": "Flat 4, 3 Green Street",
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"postcode": "W1K 6RN"
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},
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{
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"uprn": 10033615515,
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"address": "Apartment 4, 52 Green Street",
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"postcode": "W1K 6RS"
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}
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]
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asset_list = pd.DataFrame(asset_list)
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# Store the asset list in s3
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filename = f"{USER_ID}/{PORTFOLIO_ID}/asset_list.csv"
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save_csv_to_s3(
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dataframe=asset_list,
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bucket_name="retrofit-plan-inputs-dev",
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file_name=filename
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)
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non_invasive_recommendations = [
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{
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"uprn": 10033604792,
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"recommendations": [
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{
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"type": "internal_wall_insulation",
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"sap_points": 16,
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"survey": True
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}
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]
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},
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{
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"uprn": 10033604794,
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"recommendations": [
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{
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"type": "internal_wall_insulation",
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"sap_points": 14,
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"survey": True
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}
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]
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},
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{
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"uprn": 10033615515,
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"recommendations": [
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{
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"type": "room_roof_insulation",
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"sap_points": 12,
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"survey": True
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},
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{
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"type": "internal_wall_insulation",
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"sap_points": 2,
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"survey": True
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}
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]
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}
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]
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# Store non-invasive recommendations in S3
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non_invasive_recommendations_filename = f"{USER_ID}/{PORTFOLIO_ID}/non_invasive_recommendations.csv"
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save_csv_to_s3(
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dataframe=pd.DataFrame(non_invasive_recommendations),
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bucket_name="retrofit-plan-inputs-dev",
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file_name=non_invasive_recommendations_filename
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)
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valuation_data = [
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{
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"uprn": 10033604792,
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"value": 3_692_000
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},
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{
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"uprn": 10033604794,
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"value": 3_789_000
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},
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{
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"uprn": 10033615515,
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"value": 3_499_000
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}
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]
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# Store valuation data to s3
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valuation_filename = f"{USER_ID}/{PORTFOLIO_ID}/valuation.csv"
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save_csv_to_s3(
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dataframe=pd.DataFrame(valuation_data),
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bucket_name="retrofit-plan-inputs-dev",
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file_name=valuation_filename
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)
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body = {
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"portfolio_id": str(PORTFOLIO_ID),
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"housing_type": "Private",
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"goal": "Increasing EPC",
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"goal_value": "C",
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"trigger_file_path": filename,
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"already_installed_file_path": "",
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"patches_file_path": "",
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"non_invasive_recommendations_file_path": non_invasive_recommendations_filename,
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"valuation_file_path": valuation_filename,
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"scenario_name": "Full package remote assessment",
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"multi_plan": True,
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"budget": None,
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}
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print(body)
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