added now var to support save dialog naming based on now (YYYY-MM-DD), and removed export functionality. stub for saving data is there

main.py

@@ -69,7 +69,14 @@ def index():
     r.append( FP_VAR( 'FINAL # of TLS', 'TLS', 'readonly' ) )
     DISP.append(r)
 
-    return render_template('index.html', finance=finance_data, depletion_date=depletion_date, savings=savings_per_fortnight, BUDGET=BUDGET, COMP=COMP, DISP=DISP)
+    now=datetime.today().strftime('%Y-%m-%d')
+    return render_template('index.html', now=now, finance=finance_data, depletion_date=depletion_date, savings=savings_per_fortnight, BUDGET=BUDGET, COMP=COMP, DISP=DISP)
+
+@app.route('/save', methods=['POST'])
+def save():
+    for el in request.form:
+        print(f"SAVE: {el}={request.form[el]}")
+    return "200"
 
 @app.route('/update', methods=['POST'])
 def update():
@@ -104,81 +111,6 @@ def update():
 
     return redirect(url_for('index'))
 
-@app.route("/download_csv", methods=["GET"])
-def download_csv():
-
-    finance_data = get_finance_data()
-    depletion_date, savings_per_fortnight, final_savings = calculate_savings_depletion(finance_data)
-    BUDGET=get_budget_data(finance_data)
-
-    # Group data by year
-    data_by_year = defaultdict(list)
-    for date_str, amount in savings_per_fortnight:
-        year = date_str.split("-")[0]  # Extract the year from the date
-        data_by_year[year].append((date_str, amount))
-
-    # Determine the maximum number of entries for any year
-    max_entries_per_year = max(len(entries) for entries in data_by_year.values())
-
-    # Sort years for column ordering
-    years = sorted(data_by_year.keys())
-
-    # get finance data into a list for spitting out during csv last column dump
-    fd_lst = list(finance_data.items())
-    fd_lst[0]=('Variable', 'Value')
-
-    # Create an in-memory output file
-    output = io.StringIO()
-    
-    # Create a CSV writer object
-    writer = csv.writer(output)
-
-    # Write header: each year gets two columns (Date, Value)
-    header = []
-    for year in years:
-        header.extend([f"{year}-Date", f"{year}-Value"])
-    writer.writerow(header)
-
-    # Write the data rows
-    cnt=0
-    for i in range(max_entries_per_year):
-        row = []
-        for year in years:
-            # Add date and value if they exist for the current index
-            if i < len(data_by_year[year]):
-                date, value = data_by_year[year][i]
-                row.extend([date, value])
-            else:
-                row.extend(["", ""])  # If no data for this year, leave blank cells
-
-        # spacer
-        row.extend([""]) 
-
-        # now add budget data
-        if cnt < len(BUDGET):
-            row.extend( BUDGET[cnt] )
-        else:
-            row.extend(["", ""])  # If no data for this year, leave blank cells
-
-        # spacer
-        row.extend([""]) 
-
-        # now add reference data
-        if cnt < len(fd_lst):
-            row.extend(fd_lst[cnt])
-        writer.writerow(row)
-
-        cnt += 1
-
-    csv_data = output.getvalue()
-
-    # Create a Flask Response object, with CSV mime type and downloadable as a file
-    return Response(
-        csv_data,
-        mimetype="text/csv",
-        headers={"Content-disposition": "attachment; filename=finance_data.csv"}
-    )
-
 # Main program
 if __name__ == '__main__':
     app.run(debug=True)