"""
This script will create an input csv for the recommendation engine and upload it to S3, which can be used for
testing
"""
import pandas as pd
from utils.s3 import save_csv_to_s3

USER_ID = 8
PORTFOLIO_ID = 57


def app():
    """
    This portfolio is for testing windows recommendations
    :return:
    """

    test_file = pd.DataFrame(
        [
            {"address": "21 Butler House", "postcode": "E2 0PN", "Notes": None},
            {"address": "22 Butler House", "postcode": "E2 0PN", "Notes": None},
            {"address": "23 Butler House", "postcode": "E2 0PN", "Notes": None},
            {"address": "24 Butler House", "postcode": "E2 0PN", "Notes": None},
        ]
    )

    # Store the data in s3
    filename = f"{USER_ID}/{PORTFOLIO_ID}/no_epc.csv"
    save_csv_to_s3(
        dataframe=test_file,
        bucket_name="retrofit-plan-inputs-dev",
        file_name=filename
    )

    body = {
        "portfolio_id": str(PORTFOLIO_ID),
        "housing_type": "Social",
        "goal": "Increase EPC",
        "goal_value": "A",
        "trigger_file_path": filename
    }
    print(body)
