Update app.py

app.py

@@ -532,6 +532,8 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
     doc = SimpleDocTemplate(buffer, pagesize=A4, rightMargin=50, leftMargin=50, topMargin=50, bottomMargin=50)
     elements = []
     styles = getSampleStyleSheet()
+    
+    # Custom styles
     title_style = ParagraphStyle(
         'CustomTitle',
         parent=styles['Heading1'],
@@ -540,6 +542,7 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
         alignment=1,
         textColor=colors.darkblue
     )
+    
     subtitle_style = ParagraphStyle(
         'CustomSubtitle',
         parent=styles['Heading2'],
@@ -547,18 +550,22 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
         spaceAfter=20,
         textColor=colors.darkblue
     )
-    ai_style = ParagraphStyle(
-        'AIStyle',
+    
+    analysis_style = ParagraphStyle(
+        'AnalysisStyle',
         parent=styles['Normal'],
         fontSize=11,
         spaceAfter=12,
         leftIndent=20,
         textColor=colors.darkgreen
     )
+    
+    # Title page
     elements.append(Spacer(1, 100))
-    elements.append(Paragraph("Production Monitor with AI Insights", title_style))
+    elements.append(Paragraph("Production Monitor Dashboard", title_style))
     elements.append(Paragraph("Comprehensive Production Analysis Report", styles['Heading3']))
     elements.append(Spacer(1, 50))
+    
     report_info = f"""
     <para alignment="center">
     <b>Nilsen Service &amp; Consulting AS</b><br/>
@@ -570,10 +577,14 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
     """
     elements.append(Paragraph(report_info, styles['Normal']))
     elements.append(PageBreak())
+    
+    # Executive Summary
     elements.append(Paragraph("Executive Summary", subtitle_style))
+    
     total_production = stats['_total_']['total']
     work_days = stats['_total_']['work_days']
     daily_avg = stats['_total_']['daily_avg']
+    
     exec_summary = f"""
     <para>
     This report analyzes production data spanning <b>{work_days} working days</b>. 
@@ -589,6 +600,8 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
     """
     elements.append(Paragraph(exec_summary, styles['Normal']))
     elements.append(Spacer(1, 20))
+    
+    # Production Summary Table
     elements.append(Paragraph("Production Summary", styles['Heading3']))
     summary_data = [['Material Type', 'Total (kg)', 'Share (%)', 'Daily Avg (kg)']]
     for material, info in stats.items():
@@ -599,6 +612,7 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
                 f"{info['percentage']:.1f}%",
                 f"{info['daily_avg']:,.0f}"
             ])
+    
     summary_table = Table(summary_data, colWidths=[2*inch, 1.5*inch, 1*inch, 1.5*inch])
     summary_table.setStyle(TableStyle([
         ('BACKGROUND', (0, 0), (-1, 0), colors.darkblue),
@@ -610,11 +624,15 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
     ]))
     elements.append(summary_table)
     elements.append(PageBreak())
+    
+    # Charts Section
     elements.append(Paragraph("Production Analysis Charts", subtitle_style))
+    
     try:
         charts = create_pdf_charts(df, stats)
     except:
         charts = {}
+    
     charts_added = False
     chart_insights = {
         'pie': "Material distribution shows production allocation across different materials. Balanced distribution indicates diversified production capabilities.",
@@ -622,6 +640,7 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
         'bar': "Material comparison highlights performance differences and production capacities. Top performers indicate optimization opportunities.",
         'shift': "Shift analysis reveals operational efficiency differences between day and night operations. Balance indicates effective resource utilization."
     }
+    
     for chart_type, chart_title in [
         ('pie', "Production Distribution"),
         ('trend', "Production Trend"), 
@@ -634,11 +653,12 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
                 elements.append(Paragraph(chart_title, styles['Heading3']))
                 elements.append(Image(chart_path, width=6*inch, height=3*inch))
                 insight_text = f"<i>Analysis: {chart_insights.get(chart_type, 'Chart analysis not available.')}</i>"
-                elements.append(Paragraph(insight_text, ai_style))
+                elements.append(Paragraph(insight_text, analysis_style))
                 elements.append(Spacer(1, 20))
                 charts_added = True
             except Exception as e:
                 pass
+    
     if not charts_added:
         elements.append(Paragraph("Charts Generation Failed", styles['Heading3']))
         elements.append(Paragraph("Production Data Summary:", styles['Normal']))
@@ -647,8 +667,12 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
                 summary_text = f"• {material.replace('_', ' ').title()}: {info['total']:,.0f} kg ({info['percentage']:.1f}%)"
                 elements.append(Paragraph(summary_text, styles['Normal']))
         elements.append(Spacer(1, 20))
+    
     elements.append(PageBreak())
+    
+    # Quality Control Analysis
     elements.append(Paragraph("Quality Control Analysis", subtitle_style))
+    
     quality_data = [['Material', 'Outliers', 'Normal Range (kg)', 'Status']]
     for material, info in outliers.items():
         if info['count'] == 0:
@@ -657,12 +681,14 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
             status = "MONITOR"
         else:
             status = "ATTENTION"
+        
         quality_data.append([
             material.replace('_', ' ').title(),
             str(info['count']),
             info['range'],
             status
         ])
+    
     quality_table = Table(quality_data, colWidths=[2*inch, 1*inch, 2*inch, 1.5*inch])
     quality_table.setStyle(TableStyle([
         ('BACKGROUND', (0, 0), (-1, 0), colors.darkred),
@@ -673,15 +699,18 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
         ('ROWBACKGROUNDS', (0, 1), (-1, -1), [colors.white, colors.lightgrey])
     ]))
     elements.append(quality_table)
+    
+    # Intelligent Analysis (if model available)
     if model:
         elements.append(PageBreak())
-        elements.append(Paragraph("AI Intelligent Analysis", subtitle_style))
+        elements.append(Paragraph("Intelligent Analysis", subtitle_style))
         try:
-            ai_analysis = generate_ai_summary(model, df, stats, outliers)
+            analysis = generate_ai_summary(model, df, stats, outliers)
         except:
-            ai_analysis = "AI analysis temporarily unavailable."
-        ai_paragraphs = ai_analysis.split('\n\n')
-        for paragraph in ai_paragraphs:
+            analysis = "Intelligent analysis temporarily unavailable."
+        
+        analysis_paragraphs = analysis.split('\n\n')
+        for paragraph in analysis_paragraphs:
             if paragraph.strip():
                 formatted_text = paragraph.replace('**', '<b>', 1).replace('**', '</b>', 1) \
                                             .replace('•', '  •') \
@@ -690,8 +719,10 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
                 elements.append(Spacer(1, 8))
     else:
         elements.append(PageBreak())
-        elements.append(Paragraph("AI Analysis", subtitle_style))
-        elements.append(Paragraph("AI analysis unavailable - Google API key not configured. Please set the GOOGLE_API_KEY environment variable or configure it in Streamlit secrets to enable intelligent insights.", styles['Normal']))
+        elements.append(Paragraph("Advanced Analysis", subtitle_style))
+        elements.append(Paragraph("Advanced analysis features unavailable - Google API key not configured. Please set the GOOGLE_API_KEY environment variable or configure it in Streamlit secrets to enable intelligent insights.", styles['Normal']))
+    
+    # Footer
     elements.append(Spacer(1, 30))
     footer_text = f"""
     <para alignment="center">
@@ -701,6 +732,7 @@ def create_enhanced_pdf_report(df, stats, outliers, model=None):
     </para>
     """
     elements.append(Paragraph(footer_text, styles['Normal']))
+    
     doc.build(elements)
     buffer.seek(0)
     return buffer
@@ -719,33 +751,39 @@ def create_csv_export(df, stats):
     ])
     return summary_df
 
+
 def add_export_section(df, stats, outliers, model):
     st.markdown('<div class="section-header">📄 Export Reports</div>', unsafe_allow_html=True)
+    
     if 'export_ready' not in st.session_state:
         st.session_state.export_ready = False
     if 'pdf_buffer' not in st.session_state:
         st.session_state.pdf_buffer = None
     if 'csv_data' not in st.session_state:
         st.session_state.csv_data = None
+    
     col1, col2, col3 = st.columns(3)
+    
     with col1:
-        if st.button("Generate PDF Report with AI", key="generate_pdf_btn", type="primary"):
+        if st.button("Generate PDF Report", key="generate_pdf_btn", type="primary"):
             try:
-                with st.spinner("Generating PDF with AI analysis..."):
+                with st.spinner("Generating comprehensive PDF report..."):
                     st.session_state.pdf_buffer = create_enhanced_pdf_report(df, stats, outliers, model)
                     st.session_state.export_ready = True
-                st.success("✅ PDF report with AI analysis generated successfully!")
+                st.success("✅ PDF report generated successfully!")
             except Exception as e:
                 st.error(f"❌ PDF generation failed: {str(e)}")
                 st.session_state.export_ready = False
+        
         if st.session_state.export_ready and st.session_state.pdf_buffer:
             st.download_button(
                 label="💾 Download PDF Report",
                 data=st.session_state.pdf_buffer,
-                file_name=f"production_report_ai_{datetime.now().strftime('%Y%m%d_%H%M')}.pdf",
+                file_name=f"production_report_{datetime.now().strftime('%Y%m%d_%H%M')}.pdf",
                 mime="application/pdf",
                 key="download_pdf_btn"
             )
+    
     with col2:
         if st.button("Generate CSV Summary", key="generate_csv_btn", type="primary"):
             try:
@@ -753,6 +791,7 @@ def add_export_section(df, stats, outliers, model):
                 st.success("✅ CSV summary generated successfully!")
             except Exception as e:
                 st.error(f"❌ CSV generation failed: {str(e)}")
+        
         if st.session_state.csv_data is not None:
             csv_string = st.session_state.csv_data.to_csv(index=False)
             st.download_button(
@@ -762,6 +801,7 @@ def add_export_section(df, stats, outliers, model):
                 mime="text/csv",
                 key="download_csv_btn"
             )
+    
     with col3:
         csv_string = df.to_csv(index=False)
         st.download_button(