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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
"""
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This script will create an input csv for the recommendation engine and upload it to S3, which can be used for
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testing
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"""
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import pandas as pd
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from utils.s3 import save_csv_to_s3
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USER_ID = 8
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PORTFOLIO_ID = 56
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def app():
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"""
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This portfolio is for testing windows recommendations
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:return:
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"""
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test_file = pd.DataFrame(
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[
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{"address": "3 Church Terrace", "postcode": "LE13 0PW", "Notes": None},
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{"address": "3, Main Street, Redmile", "postcode": "NG13 0GA", "Notes": None},
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{"address": "Manor House, Kennel Lane, Reepham", "postcode": "LN3 4DZ", "Notes": None},
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{"address": "13 Main Street", "postcode": "LE14 2JU", "Notes": None},
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{"address": "8 The Crescent, Coston Road, Buckminster", "postcode": "NG33 5SF", "Notes": None},
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]
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)
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# Store the data in s3
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filename = f"{USER_ID}/{PORTFOLIO_ID}/windows_portfolio_inputs.csv"
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save_csv_to_s3(
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dataframe=test_file,
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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": "Social",
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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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}
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print(body)
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