expanding dash

data_check.py

@@ -1,17 +1,55 @@
 import polars as pl
 
-df = pl.read_parquet('data/warehouse/transactions.parquet')
-print("Data loaded from Parquet file:")
-print(df)
+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')
 
-relevant_data = df.sql('''
+
+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,
-        sum(transaction_amount) as total
+        year,
+        month,
+        day,
+        ABS(SUM(transaction_amount)) as total
     FROM self
-    GROUP BY date
+    WHERE category_name != 'Inflow: Ready to Assign'
+    GROUP BY date, year, month, day
     ORDER BY date DESC
     '''
 )
-print("Data after SQL query:")
-print(relevant_data)
+
+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
+    '''
+)
+
+print(spend_per_payee)