initial

app.py

@@ -78,7 +78,6 @@ def handle_interview_turn(user_audio, chatbot_history, current_state):
         }
 
 def generate_pdf_file(state):
-    # --- THIS IS THE CORRECTED LINE ---
     final_data = { "name": state["name"], "type": state["interview_type"], "q_and_a": state["interview_log"] }
     file_name = f"Report_{state['name']}_{datetime.datetime.now().strftime('%Y-%m-%d')}.pdf"
     file_path = os.path.join(config.REPORT_FOLDER, file_name)

modules/report_generator.py

@@ -3,7 +3,7 @@ import datetime
 import os
 import numpy as np
 import matplotlib.pyplot as plt
-from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak, Image, Frame, PageTemplate
+from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak, Image
 from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
 from reportlab.lib.enums import TA_JUSTIFY, TA_CENTER
 from reportlab.lib.units import inch
@@ -11,8 +11,12 @@ from reportlab.lib import colors
 from modules.llm_handler import generate_holistic_feedback, parse_scores_from_evaluation
 import config
 
+def define_skill_areas(interview_type):
+    if interview_type == 'Technical':
+        return ['Factual Accuracy', 'Structure & Clarity', 'Relevance & Directness']
+    return ['Factual Accuracy', 'Relevance & Directness', 'Structure & Clarity']
+
 def create_radar_chart(labels, scores, file_path):
-    """Generates and saves a radar chart as a PNG image."""
     num_vars = len(labels)
     angles = np.linspace(0, 2 * np.pi, num_vars, endpoint=False).tolist()
     scores += scores[:1]
@@ -42,7 +46,7 @@ def generate_pdf_report(interview_data, file_path):
     story.append(Paragraph("Overall Performance Analysis", styles['h1']))
     full_log_text = ""
     all_scores = []
-    skill_labels = ['Factual Accuracy', 'Relevance & Directness', 'Structure & Clarity']
+    skill_labels = define_skill_areas(interview_data['type'])
     
     for i, qa in enumerate(interview_data['q_and_a']):
         full_log_text += f"Q{i+1}: {qa['question']}\nA: {qa['answer']}\n---\n"