# modules/report_generator.py 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.lib.styles import getSampleStyleSheet, ParagraphStyle # --- THIS IS THE FIX: Import TA_LEFT --- from reportlab.lib.enums import TA_JUSTIFY, TA_CENTER, TA_LEFT from reportlab.lib.units import inch from reportlab.lib import colors from modules.llm_handler import generate_holistic_feedback, parse_scores_from_evaluation import config # The rest of the file remains the same... class ReportPageTemplate(PageTemplate): def __init__(self, id, pagesize): frame = Frame(inch, inch, pagesize[0] - 2 * inch, pagesize[1] - 2 * inch, id='normal') PageTemplate.__init__(self, id, [frame]) def beforeDrawPage(self, canvas, doc): canvas.saveState() canvas.setFont('Helvetica', 9) canvas.setFillColor(colors.grey) footer_text = f"Page {doc.page} | AI Interview Coach Report | Generated on {datetime.datetime.now().strftime('%Y-%m-%d')}" canvas.drawCentredString(doc.width / 2 + inch, 0.75 * inch, footer_text) canvas.restoreState() def create_radar_chart(labels, scores, file_path): num_vars = len(labels) angles = np.linspace(0, 2 * np.pi, num_vars, endpoint=False).tolist() scores += scores[:1]; angles += angles[:1] fig, ax = plt.subplots(figsize=(6, 6), subplot_kw=dict(polar=True)) ax.fill(angles, scores, color='#4A90E2', alpha=0.2) ax.plot(angles, scores, color='#4A90E2', linewidth=2, linestyle='solid') ax.set_yticklabels([]); ax.set_xticks(angles[:-1]); ax.set_xticklabels(labels, size=12, color='grey') ax.set_ylim(0, 10) for angle, score in zip(angles[:-1], scores[:-1]): ax.text(angle, score + 1.5, str(score), ha='center', va='center', size=14, color="#000000", weight='bold') plt.title('Performance Snapshot', size=20, color='#333333', y=1.1) os.makedirs(os.path.dirname(file_path), exist_ok=True) plt.savefig(file_path, transparent=True, dpi=150) plt.close(fig) print(f"šŸ“ˆ Radar chart saved to {file_path}") def generate_pdf_report(interview_data, file_path): doc = SimpleDocTemplate(file_path, pagesize=(8.5 * inch, 11 * inch), leftMargin=inch, rightMargin=inch, topMargin=inch, bottomMargin=inch) doc.addPageTemplates([ReportPageTemplate('main_template', (8.5 * inch, 11 * inch))]) styles = getSampleStyleSheet() styles.add(ParagraphStyle(name='ReportTitle', parent=styles['h1'], fontSize=28, alignment=TA_CENTER, spaceAfter=24)) styles.add(ParagraphStyle(name='ReportSubTitle', parent=styles['h2'], fontSize=16, alignment=TA_CENTER, spaceAfter=12, textColor=colors.HexColor('#555555'))) styles.add(ParagraphStyle(name='Justify', alignment=TA_JUSTIFY, spaceAfter=12, leading=14)) styles.add(ParagraphStyle(name='MainHeader', parent=styles['h1'], fontSize=22, spaceBefore=12, spaceAfter=20, alignment=TA_LEFT, textColor=colors.HexColor('#2c3e50'))) styles.add(ParagraphStyle(name='QuestionTitle', parent=styles['h2'], spaceBefore=20, spaceAfter=10, textColor=colors.HexColor('#2980b9'))) styles.add(ParagraphStyle(name='SectionTitle', parent=styles['h3'], spaceBefore=12, spaceAfter=6, textColor=colors.HexColor('#34495e'))) story = [] story.append(Paragraph("Interview Performance Report", styles['ReportTitle'])) story.append(Spacer(1, 0.5 * inch)) story.append(Paragraph(f"Prepared for: {interview_data.get('name', 'N/A')}", styles['ReportSubTitle'])) story.append(Spacer(1, 0.2 * inch)) story.append(Paragraph(f"Interview Type: {interview_data.get('type', 'N/A')}", styles['ReportSubTitle'])) story.append(Spacer(1, 0.2 * inch)) story.append(Paragraph(f"Date of Report: {datetime.datetime.now().strftime('%B %d, %Y')}", styles['ReportSubTitle'])) story.append(PageBreak()) story.append(Paragraph("Overall Performance Analysis", styles['MainHeader'])) full_log_text = "" all_scores = [] skill_labels = ['Factual Accuracy', 'Relevance & Directness', 'Structure & Clarity'] for i, qa in enumerate(interview_data['q_and_a']): full_log_text += f"Q{i+1}: {qa['question']}\nA: {qa['answer']}\n---\n" scores = parse_scores_from_evaluation(qa['evaluation']) all_scores.append([scores.get(label, 0) for label in skill_labels]) holistic_feedback = generate_holistic_feedback(full_log_text).replace('\n', '
') story.append(Paragraph(holistic_feedback, styles['Justify'])) story.append(Spacer(1, 0.3 * inch)) if all_scores: avg_scores = np.mean(all_scores, axis=0).tolist() chart_path = os.path.join(config.REPORT_FOLDER, "skill_chart.png") if os.path.exists(chart_path): os.remove(chart_path) create_radar_chart(skill_labels, avg_scores, chart_path) story.append(Image(chart_path, width=4.5*inch, height=4.5*inch, hAlign='CENTER')) story.append(PageBreak()) story.append(Paragraph("Detailed Question Analysis", styles['MainHeader'])) for i, qa in enumerate(interview_data['q_and_a']): story.append(Paragraph(f"Question {i+1}: {qa['question']}", styles['QuestionTitle'])) story.append(Paragraph("Your Answer:", styles['SectionTitle'])) story.append(Paragraph(qa.get('answer', 'N/A'), styles['Justify'])) story.append(Paragraph("AI Evaluation:", styles['SectionTitle'])) story.append(Paragraph(qa.get('evaluation', 'N/A').replace('\n', '
'), styles['Justify'])) try: doc.build(story) print(f"\nāœ… Professional report generated successfully: {file_path}") except Exception as e: print(f"šŸ’„ Error generating professional PDF report: {e}")