.

visuals/components.py

@@ -22,27 +22,17 @@ try:
     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')\
-                        # date filter for callback date range
-                        #.filter(pl.col('transaction_date'))
-    
+                        .join(dates, left_on='transaction_date', right_on='date_id', suffix='_date')
+
 except Exception as e:
     logging.error(f'Error joining DataFrames: {e}')
     sys.exit(ec.BAD_JOIN)
 
 def update_dates(start_date, end_date):
-    start_year = int(start_date[:4])
-    start_month = int(start_date[5:7])
-    start_day = int(start_date[8:10])
-
-    end_year = int(end_date[:4])
-    end_month = int(end_date[5:7])
-    end_day = int(end_date[8:10])
-
     master_data = master_transactions.filter(
-        (pl.col('year_date') >= start_year ) & (pl.col('year_date') <= end_year) & 
-        (pl.col('month_date') >= start_month ) & (pl.col('month_date') <= end_month) &
-        (pl.col('day_date') >= start_day ) & (pl.col('day_date') <= end_day)
+        (pl.col('year') >= start_date.year ) & (pl.col('year') <= end_date.year) & 
+        (pl.col('month') >= start_date.month ) & (pl.col('month') <= end_date.month) &
+        (pl.col('day') >= start_date.day ) & (pl.col('day') <= end_date.day)
     )
     return master_data
 
@@ -124,4 +114,10 @@ def update_data(master_data):
         paper_bgcolor='black',
         font_color='white'
     )
-    return spend_per_day_line, spend_per_category_bar, spend_per_payee_bar, total_spend
+
+    data = {"spend_per_day_line": spend_per_day_line,
+            "spend_per_category_bar": spend_per_category_bar,
+            "spend_per_payee_bar": spend_per_payee_bar,
+            "total_spend": total_spend}
+    print(data)
+    return data

visuals/dash_app.py

@@ -1,26 +1,27 @@
 '''Module to create a Dash app that displays visualizations of YNAB data.'''
 import dash
-import dash_bootstrap_components as dbc
+from dash import dcc, html
 from dash.dependencies import Input, Output
+import dash_bootstrap_components as dbc
+from visuals.layout import create_layout
+from visuals.components import update_data, update_dates
+from datetime import date
 
-import visuals.layout as layout
-import visuals.components as charts
 
-def update_visuals(start_date, end_date):
-    # Update the data based on the selected date range
-    master = charts.update_dates(start_date, end_date)
-    data = charts.update_data(master)
-    return layout.create_layout(data)
+master_data = update_dates(start_date=date(2024, 1, 1), end_date=date(2026, 1, 1))
+data = update_data(master_data)
 
-# Initialize the app with a dark theme
-app = dash.Dash(external_stylesheets=[dbc.themes.DARKLY])
 
-# App layout
-app.layout = update_visuals()
+app = dash.Dash(__name__, external_stylesheets=[dbc.themes.DARKLY])
 
 @app.callback(
-    [
-        Input('date-picker-range', 'start_date'),
-        Input('date-picker-range', 'end_date')
-    ]
-)
+    Output("layout-container", "children"),
+    [Input('date-picker-range', 'start_date'),
+     Input('date-picker-range', 'end_date')]
+)
+def update_layout(start_date,end_date):
+    master_data = update_dates(start_date, end_date)
+    data = update_data(master_data)
+    return create_layout(data)
+
+app.layout = create_layout(data)