import polars as pl
import pandas as pd
import data

inst = data.load()
#test = inst.price().pl()
test = inst.price_developement_per_property().pl()

data = []

propIds = test.get_column('property_id').to_list()
propIds = list(dict.fromkeys(propIds))
for id in propIds:
    dates = []
    prices = []
    new_dict = {}
    temp = test.filter(property_id=id)
    for row in temp.iter_rows():
        new_dict[row[2].date().strftime("%Y/%m/%d")] = row[0]


    data.append([id, new_dict])

df = pd.DataFrame(data)

df.to_csv('results/priceAccuracyDict.csv')
print(df)