Update process_interview.py

process_interview.py

@@ -391,7 +391,7 @@ def generate_voice_interpretation(analysis: Dict) -> str:
         if 'error' in analysis:
             return f"Voice analysis unavailable: {analysis['error']}"
         interpretation_lines = [
-            f"- Speaking rate: {analysis.get('speaking_rate', 0):.2f} words/sec (Benchmark: 2.0-3.0; affects clarity)",  # Fixed syntax error
+            f"- Speaking rate: {analysis.get('speaking_rate', 0):.2f} words/sec (Benchmark: 2.0-3.0; affects clarity)",
             f"- Filler words: {analysis.get('filler_ratio', 0) * 100:.1f}% (High usage reduces credibility)",
             f"- Anxiety: {analysis.get('interpretation', {}).get('anxiety_level', 'N/A')} (Score: {analysis.get('composite_scores', {}).get('anxiety', 0):.3f}; stress response)",
             f"- Confidence: {analysis.get('interpretation', {}).get('confidence_level', 'N/A')} (Score: {analysis.get('composite_scores', {}).get('confidence', 0):.3f}; vocal strength)",
@@ -568,7 +568,7 @@ def create_pdf_report(analysis_data: Dict, output_path: str, gemini_report_text:
             canvas.saveState()
             canvas.setFont('Helvetica', 7)
             canvas.setFillColor(colors.HexColor('#666666'))
-            canvas.drawString(doc.leftMargin, 0.5*inch, f"Page {doc.page} | EvalBot HR Interview Report | Confidential")  # Fixed typo
+            canvas.drawString(doc.leftMargin, 0.5*inch, f"Page {doc.page} | EvalBot HR Interview Report | Confidential")
             canvas.setStrokeColor(colors.HexColor('#0050BC'))
             canvas.setLineWidth(0.5)
             canvas.line(doc.leftMargin, doc.height + 0.9*inch, doc.width + doc.leftMargin, doc.height + 0.9*inch)
@@ -678,6 +678,7 @@ def create_pdf_report(analysis_data: Dict, output_path: str, gemini_report_text:
             line = line.strip()
             if not line:
                 continue
+            logger.debug(f"Parsing line: {line}")  # Debug parsing
             if line.startswith('**') and line.endswith('**'):
                 section_title = line.strip('**').strip()
                 if section_title.startswith(('1.', '2.', '3.', '4.', '5.')):
@@ -697,30 +698,42 @@ def create_pdf_report(analysis_data: Dict, output_path: str, gemini_report_text:
                 elif 'Recommendations' in section_title:
                     current_section = 'Recommendations'
                     current_subsection = None
+                logger.debug(f"Set section: {current_section}")
             elif line.startswith('-') and current_section:
                 clean_line = line.lstrip('-').strip()
                 if not clean_line:
                     continue
                 clean_line = re.sub(r'[^\w\s.,;:-]', '', clean_line)
-                if current_section == 'Competency':
-                    if any(k in clean_line.lower() for k in ['leader', 'problem', 'commun', 'adapt', 'achieve', 'skill', 'success']):
-                        current_subsection = 'Strengths'
-                    elif any(k in clean_line.lower() for k in ['improv', 'grow', 'develop', 'weak', 'area']):
-                        current_subsection = 'Growth Areas'
-                    if current_subsection:
-                        sections[current_section][current_subsection].append(clean_line)
-                elif current_section == 'Recommendations':
-                    if any(k in clean_line.lower() for k in ['commun', 'tech', 'train', 'skill', 'pres']):
-                        current_subsection = 'Development'
-                    elif any(k in clean_line.lower() for k in ['adv', 'assess', 'next', 'schedule', 'mentor']):
-                        current_subsection = 'Next Steps'
+                logger.debug(f"Processing bullet: {clean_line}, section: {current_section}, subsection: {current_subsection}")
+                if current_section in ['Competency', 'Recommendations']:
+                    # For dictionary sections, append to subsection
+                    if current_subsection is None:
+                        # Set default subsection if unset
+                        if current_section == 'Competency':
+                            current_subsection = 'Strengths'
+                        elif current_section == 'Recommendations':
+                            current_subsection = 'Development'
+                        logger.debug(f"Default subsection set to: {current_subsection}")
                     if current_subsection:
                         sections[current_section][current_subsection].append(clean_line)
+                    else:
+                        logger.warning(f"Skipping line due to unset subsection: {clean_line}")
                 else:
+                    # For list sections, append directly
                     sections[current_section].append(clean_line)
             elif current_section and line:
                 clean_line = re.sub(r'[^\w\s.,;:-]', '', line)
-                sections[current_section].append(clean_line)
+                logger.debug(f"Processing non-bullet: {clean_line}, section: {current_section}, subsection: {current_subsection}")
+                if current_section in ['Competency', 'Recommendations']:
+                    if current_subsection:
+                        sections[current_section][current_subsection].append(clean_line)
+                    else:
+                        # Default subsection
+                        current_subsection = 'Strengths' if current_section == 'Competency' else 'Development'
+                        sections[current_section][current_subsection].append(clean_line)
+                        logger.debug(f"Default subsection for non-bullet set to: {current_subsection}")
+                else:
+                    sections[current_section].append(clean_line)
 
         # Executive Summary
         story.append(Paragraph("2. Executive Summary", h2))
@@ -728,7 +741,7 @@ def create_pdf_report(analysis_data: Dict, output_path: str, gemini_report_text:
             for line in sections['Executive Summary']:
                 story.append(Paragraph(line, bullet_style))
         else:
-            story.append(Paragraph("Candidate showed moderate engagement; further data needed for full assessment.", bullet_style))
+            story.append(Paragraph("Candidate showed moderate engagement; further assessment needed.", bullet_style))
             story.append(Paragraph(f"Interview lasted {analysis_data['text_analysis']['total_duration']:.2f} seconds with {analysis_data['text_analysis']['speaker_turns']} turns.", bullet_style))
         story.append(Spacer(1, 0.15*inch))
 
@@ -755,15 +768,15 @@ def create_pdf_report(analysis_data: Dict, output_path: str, gemini_report_text:
             for line in sections['Role Fit']:
                 story.append(Paragraph(line, bullet_style))
         else:
-            story.append(Paragraph("Potential for role fit exists; further evaluation needed to confirm alignment.", bullet_style))
+            story.append(Paragraph("Potential for role fit exists; further evaluation needed to confirm alignment.", bullet_style)))
         story.append(Spacer(1, 0.15*inch))
-
+        
         # Recommendations
         story.append(Paragraph("5. Recommendations", h2))
         story.append(Paragraph("Development Priorities", h3))
         if sections['Recommendations']['Development']:
             for line in sections['Recommendations']['Development']:
-                story.append(Paragraph(line, bullet_style))
+                story.append(Paragraph(line, bullet_style)))
         else:
             story.append(Paragraph("Enroll in communication training to reduce filler words.", bullet_style))
         story.append(Spacer(1, 0.1*inch))
@@ -780,7 +793,7 @@ def create_pdf_report(analysis_data: Dict, output_path: str, gemini_report_text:
         logger.info(f"PDF report successfully generated at {output_path}")
         return True
     except Exception as e:
-        logger.error(f"PDF generation failed: {str(e)}", exc_info=True)
+        logger.error(f"PDF generation failed: {str(e)}\nFull Gemini report text:\n{gemini_report_text}", exc_info=True)
         return False
 
 def convert_to_serializable(obj):