Jake
77 lines
2.3 KiB
Python
77 lines
2.3 KiB
Python
import polars as pl
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from datetime import date, timedelta
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import yaml
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# accounts = pl.read_parquet('data/warehouse/accounts.parquet')
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# categories = pl.read_parquet('data/warehouse/categories.parquet')
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# dates = pl.read_parquet('data/warehouse/dates.parquet')
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# payees = pl.read_parquet('data/warehouse/payees.parquet')
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# scheduled_transactions = pl.read_parquet('data/warehouse/scheduled_transactions.parquet')
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# transactions = pl.read_parquet('data/warehouse/transactions.parquet')
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# master_transactions = transactions.join(categories, left_on='category_id', right_on='category_id', suffix='_category')\
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# .join(accounts, left_on='account_id', right_on='account_id', suffix='_account')\
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# .join(payees, left_on='payee_id', right_on='payee_id', suffix='_payee')\
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# .join(dates, left_on='transaction_date', right_on='date_id', suffix='_date')
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# # Create aggregations
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# spend_per_day = master_transactions.sql('''
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# SELECT
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# date,
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# year,
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# month,
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# day,
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# ABS(SUM(transaction_amount)) as total
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# FROM self
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# WHERE category_name != 'Inflow: Ready to Assign'
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# GROUP BY date, year, month, day
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# ORDER BY date DESC
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# '''
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# )
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# spend_per_category = master_transactions.sql('''
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# SELECT
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# category_name,
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# ABS(SUM(transaction_amount)) as total
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# FROM self
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# WHERE category_name != 'Inflow: Ready to Assign'
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# GROUP BY category_name
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# ORDER BY total DESC
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# '''
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# )
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# spend_per_payee = master_transactions.sql('''
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# SELECT
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# payee_name,
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# ABS(SUM(transaction_amount)) as total
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# FROM self
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# WHERE payee_name != 'Starting Balance'
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# AND transaction_amount < 0
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# GROUP BY payee_name
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# ORDER BY total DESC
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# '''
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# )
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# def update_dates(start_date, end_date):
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# print("start date", start_date)
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# print("end date", end_date)
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# print(master_transactions)
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# master_data = master_transactions.filter(
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# pl.col("date").is_between(start_date, end_date)
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# )
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# return master_data
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# today = date.today()
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# one_year_ago = today - timedelta(days=5)
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# data = update_dates(start_date=one_year_ago, end_date=today)
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# print(data)
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with open('config/config.yaml', 'r') as file:
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config = yaml.safe_load(file)
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for k,v in config.items():
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print(k,v)
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