Update analytics_tab.py

analytics_tab.py

@@ -1,7 +1,13 @@
 import gradio as gr
 import pandas as pd
-import plotly.graph_objects as go
 from datetime import datetime
+import plotly.graph_objects as go
+from reportlab.lib.pagesizes import letter
+from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer
+from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
+from reportlab.lib import colors
+from reportlab.lib.units import inch
+import os
 
 class AnalyticsTab:
     def __init__(self, get_sheet_func, get_farmers_func, format_indian_currency_func, format_date_display_func):
@@ -150,7 +156,7 @@ class AnalyticsTab:
             # Build PDF
             doc.build(elements)
             
-            # Verify file was created and get its absolute path
+            # Return absolute path for Gradio File component
             abs_path = os.path.abspath(pdf_filename)
             if os.path.exists(abs_path):
                 file_size = os.path.getsize(abs_path)
@@ -176,21 +182,22 @@ class AnalyticsTab:
                     return None, None, f"❌ No transactions found for farmer '{farmer_name}'"
                 return None, None, "❌ No transactions found"
             
-            # Create display dataframe BEFORE generating PDF (using original df)
-            display_df = df[['Date', 'Farmer Name', 'Type', 'Bank Account', 'Amount', 'Balance']].copy()
-            display_df.columns = ['Date', 'Farmer', 'Description', 'Bank Account', 'Amount (₹)', 'Balance (₹)']
-            
-            # Generate PDF with original numeric values in df
+            # Generate PDF FIRST with original numeric df
             pdf_path = self.create_transactions_pdf(farmer_name, df)
             
-            # Format display_df for UI display
+            # Then create display dataframe
+            display_df = df[['Date', 'Farmer Name', 'Type', 'Bank Account', 'Amount', 'Balance']].copy()
+            display_df.columns = ['Date', 'Farmer', 'Description', 'Bank Account', 'Amount (₹)', 'Balance (₹)']
             display_df['Date'] = display_df['Date'].apply(lambda x: self.format_date_display(str(x)[:10]))
             display_df['Amount (₹)'] = display_df['Amount (₹)'].apply(self.format_indian_currency)
             display_df['Balance (₹)'] = display_df['Balance (₹)'].apply(self.format_indian_currency)
             
             farmer_text = f" for {farmer_name}" if farmer_name and farmer_name.strip() else ""
             
-            # Return PDF path properly
+            # Debug print
+            print(f"PDF Path being returned: {pdf_path}")
+            print(f"PDF exists: {os.path.exists(pdf_path) if pdf_path else 'None'}")
+            
             return display_df, pdf_path, f"✅ Showing {len(display_df)} transactions{farmer_text}"
         except Exception as e:
             import traceback
@@ -479,7 +486,7 @@ class AnalyticsTab:
                 
                 # PDF Download
                 with gr.Row():
-                    trans_pdf_download = gr.File(label="📄 Download Transactions PDF", interactive=False)
+                    trans_pdf_download = gr.File(label="📄 Download Transactions PDF", interactive=False, visible=True)
                 
                 all_trans_df = gr.Dataframe(
                     label="Transaction History",