import polars as pl
from datetime import date, timedelta
import yaml

# accounts = pl.read_parquet('data/warehouse/accounts.parquet')
# categories = pl.read_parquet('data/warehouse/categories.parquet')
# dates = pl.read_parquet('data/warehouse/dates.parquet')
# payees = pl.read_parquet('data/warehouse/payees.parquet')
# scheduled_transactions = pl.read_parquet('data/warehouse/scheduled_transactions.parquet')
# transactions = pl.read_parquet('data/warehouse/transactions.parquet')


# master_transactions = transactions.join(categories, left_on='category_id', right_on='category_id', suffix='_category')\
#                     .join(accounts, left_on='account_id', right_on='account_id', suffix='_account')\
#                     .join(payees, left_on='payee_id', right_on='payee_id', suffix='_payee')\
#                     .join(dates, left_on='transaction_date', right_on='date_id', suffix='_date')


# # Create aggregations
# spend_per_day = master_transactions.sql('''
#     SELECT 
#         date,
#         year,
#         month,
#         day,
#         ABS(SUM(transaction_amount)) as total
#     FROM self
#     WHERE category_name != 'Inflow: Ready to Assign'
#     GROUP BY date, year, month, day
#     ORDER BY date DESC
#     '''
# )

# spend_per_category = master_transactions.sql('''
#     SELECT
#         category_name,
#         ABS(SUM(transaction_amount)) as total
#     FROM self
#     WHERE category_name != 'Inflow: Ready to Assign'
#     GROUP BY category_name
#     ORDER BY total DESC
#     '''
# )

# spend_per_payee = master_transactions.sql('''
#     SELECT
#         payee_name,
#         ABS(SUM(transaction_amount)) as total
#     FROM self
#     WHERE payee_name != 'Starting Balance'
#         AND transaction_amount < 0
#     GROUP BY payee_name
#     ORDER BY total DESC
#     '''
# )

# def update_dates(start_date, end_date):
#     print("start date", start_date)
#     print("end date", end_date)
#     print(master_transactions)
#     master_data = master_transactions.filter(
#         pl.col("date").is_between(start_date, end_date)
#     )
#     return master_data

# today = date.today()
# one_year_ago = today - timedelta(days=5)

# data = update_dates(start_date=one_year_ago, end_date=today)
# print(data)

with open('config/config.yaml', 'r') as file:
    config = yaml.safe_load(file)

for k,v in config.items():
    print(k,v)