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37 lines
854 B
Python
37 lines
854 B
Python
import pandas as pd
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from utils.s3 import save_csv_to_s3
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PORTFOLIO_ID = 85
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USER_ID = 8
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def app():
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asset_list = [
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{
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"address": "120 Yarningale Road",
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"postcode": "B14 6NB",
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"uprn": 100070575194
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}
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]
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asset_list = pd.DataFrame(asset_list)
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filename = f"{USER_ID}/{PORTFOLIO_ID}/sample.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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body = {
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"portfolio_id": str(PORTFOLIO_ID),
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"housing_type": "Private",
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"goal": "Increase 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": "",
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"budget": None,
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}
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print(body)
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