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set up asset list
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1 changed files with 20 additions and 1 deletions
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@ -41,4 +41,23 @@ def app():
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raw_asset_list["address"] = raw_asset_list["Full Address"].str.split(",").str[0]
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raw_asset_list["address"] = raw_asset_list["Full Address"].str.split(",").str[0]
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raw_asset_list["postcode"] = raw_asset_list["Full Address"].str.split(",").str[-1].str.strip()
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raw_asset_list["postcode"] = raw_asset_list["Full Address"].str.split(",").str[-1].str.strip()
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raw_asset_list[["address", "postcode"]].to_dict("records")
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council_tax_bands = pd.DataFrame(council_tax_bands)
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asset_list = raw_asset_list.merge(council_tax_bands, how="left", on=["address", "postcode"])
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# Store the data in s3
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filename = f"{USER_ID}/{PORTFOLIO_ID}/pilot.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": "A",
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"trigger_file_path": filename,
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"budget": None,
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}
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print(body)
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