""" Alture AI — Enterprise ATS Audit Report PDF Generator ====================================================== Generates an executive, publication-quality 1-2 page PDF ATS Audit Report detailing ATS Compatibility Score, Semantic Alignment, Matched/Missing Skills, and Actionable Optimization Strategies. """ import io import os from datetime import datetime from reportlab.lib.pagesizes import letter from reportlab.lib import colors from reportlab.platypus import ( SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable, KeepTogether ) from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import inch def generate_ats_audit_pdf( candidate_name: str, job_title: str, company: str, location: str, ats_score: float, fit_tier: str, matched_skills: list, missing_skills: list, tips: list = None, overall_assessment: str = "" ) -> bytes: """ Generate and return bytes of a branded ATS Audit Report PDF. """ buffer = io.BytesIO() doc = SimpleDocTemplate( buffer, pagesize=letter, rightMargin=36, leftMargin=36, topMargin=36, bottomMargin=36 ) styles = getSampleStyleSheet() # Custom Palette COLOR_PRIMARY = colors.HexColor("#0284c7") COLOR_DARK = colors.HexColor("#0f172a") COLOR_MUTED = colors.HexColor("#64748b") COLOR_SUCCESS_BG = colors.HexColor("#f0fdf4") COLOR_SUCCESS_TXT = colors.HexColor("#166534") COLOR_WARN_BG = colors.HexColor("#fef2f2") COLOR_WARN_TXT = colors.HexColor("#991b1b") COLOR_CARD_BG = colors.HexColor("#f8fafc") COLOR_BORDER = colors.HexColor("#e2e8f0") # Typography Styles title_style = ParagraphStyle( 'DocTitle', parent=styles['Heading1'], fontName='Helvetica-Bold', fontSize=20, leading=24, textColor=COLOR_DARK ) subtitle_style = ParagraphStyle( 'DocSub', parent=styles['Normal'], fontName='Helvetica', fontSize=9.5, leading=13, textColor=COLOR_MUTED ) section_header_style = ParagraphStyle( 'SecHeader', parent=styles['Heading2'], fontName='Helvetica-Bold', fontSize=12, leading=16, textColor=COLOR_PRIMARY, spaceBefore=8, spaceAfter=4 ) body_style = ParagraphStyle( 'BodyTextCustom', parent=styles['Normal'], fontName='Helvetica', fontSize=9, leading=13, textColor=colors.HexColor("#334155") ) bold_body = ParagraphStyle( 'BoldBody', parent=body_style, fontName='Helvetica-Bold' ) elements = [] # 1. Header Table (Brand Logo & Report Title) header_data = [ [ Paragraph("ALTURE AI
Enterprise ATS Intelligence & Resume Audit", title_style), Paragraph(f"OFFICIAL ATS AUDIT REPORT
Date: {datetime.now().strftime('%B %d, %Y')}
Engine: Hybrid NLP v2.0 (SBERT+XGB)", ParagraphStyle('RightH', parent=subtitle_style, alignment=2)) ] ] header_table = Table(header_data, colWidths=[300, 240]) header_table.setStyle(TableStyle([ ('VALIGN', (0,0), (-1,-1), 'TOP'), ('BOTTOMPADDING', (0,0), (-1,-1), 6), ])) elements.append(header_table) elements.append(HRFlowable(width="100%", thickness=1.5, color=COLOR_PRIMARY, spaceBefore=4, spaceAfter=10)) # 2. Executive Candidate & Job Target Summary Card summary_data = [ [ Paragraph(f"Candidate: {candidate_name}", body_style), Paragraph(f"Target Position: {job_title}", body_style) ], [ Paragraph(f"Document Status: Verified PDF/DOCX Parser", body_style), Paragraph(f"Employer / Location: {company} ({location})", body_style) ] ] summary_table = Table(summary_data, colWidths=[270, 270]) summary_table.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), COLOR_CARD_BG), ('BOX', (0,0), (-1,-1), 1, COLOR_BORDER), ('INNERGRID', (0,0), (-1,-1), 0.5, COLOR_BORDER), ('TOPPADDING', (0,0), (-1,-1), 6), ('BOTTOMPADDING', (0,0), (-1,-1), 6), ('LEFTPADDING', (0,0), (-1,-1), 10), ('RIGHTPADDING', (0,0), (-1,-1), 10), ])) elements.append(summary_table) elements.append(Spacer(1, 10)) # 3. Overall Compatibility Score Banner score_color_hex = "#16a34a" if ats_score >= 60 else ("#d97706" if ats_score >= 35 else "#dc2626") tier_badge = f"{fit_tier.upper()}" score_box_data = [ [ Paragraph(f"{ats_score:.1f}%
ATS COMPATIBILITY SCORE", ParagraphStyle('ScoreC', alignment=1)), Paragraph(f"Compatibility Assessment: {tier_badge}

{overall_assessment or f'This resume exhibits strong alignment across {len(matched_skills)} core technical competencies with actionable optimization opportunities.'}", body_style) ] ] score_table = Table(score_box_data, colWidths=[150, 390]) score_table.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), colors.HexColor("#f0fdfa")), ('BOX', (0,0), (-1,-1), 1.2, colors.HexColor("#99f6e4")), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ('TOPPADDING', (0,0), (-1,-1), 8), ('BOTTOMPADDING', (0,0), (-1,-1), 8), ('LEFTPADDING', (0,0), (-1,-1), 12), ('RIGHTPADDING', (0,0), (-1,-1), 12), ])) elements.append(score_table) elements.append(Spacer(1, 12)) # 4. Multi-Modal Technical Skills Analysis (Matched vs Missing) elements.append(Paragraph("1. Technical Competency & Skill Gap Analysis", section_header_style)) matched_text = ", ".join(matched_skills) if matched_skills else "No direct keyword matches found (general semantic match)" missing_text = ", ".join(missing_skills) if missing_skills else "None! Excellent coverage of all required skills." skills_data = [ [ Paragraph(f"MATCHED SKILLS ({len(matched_skills)} Verified):", bold_body), Paragraph(f"CRITICAL SKILL GAPS ({len(missing_skills)} Missing):", bold_body) ], [ Paragraph(f"{matched_text}", body_style), Paragraph(f"{missing_text}", body_style) ] ] skills_table = Table(skills_data, colWidths=[265, 275]) skills_table.setStyle(TableStyle([ ('BACKGROUND', (0,0), (0,1), COLOR_SUCCESS_BG), ('BACKGROUND', (1,0), (1,1), COLOR_WARN_BG), ('BOX', (0,0), (0,1), 1, colors.HexColor("#bbf7d0")), ('BOX', (1,0), (1,1), 1, colors.HexColor("#fecaca")), ('TOPPADDING', (0,0), (-1,-1), 6), ('BOTTOMPADDING', (0,0), (-1,-1), 6), ('LEFTPADDING', (0,0), (-1,-1), 8), ('RIGHTPADDING', (0,0), (-1,-1), 8), ('VALIGN', (0,0), (-1,-1), 'TOP'), ])) elements.append(skills_table) elements.append(Spacer(1, 12)) # 5. Gemini AI Coach Strategic Recommendations elements.append(Paragraph("2. Strategic Optimization Plan & Actionable Recommendations", section_header_style)) tips_rows = [] if tips and isinstance(tips, list): for idx, t in enumerate(tips[:4]): t_title = t.get("title", f"Recommendation {idx+1}") if isinstance(t, dict) else str(t) t_detail = t.get("detail", "") if isinstance(t, dict) else "" prio = t.get("priority", "medium").upper() if isinstance(t, dict) else "ACTION" prio_color = "#dc2626" if prio == "HIGH" else ("#d97706" if prio == "MEDIUM" else "#16a34a") tips_rows.append([ Paragraph(f"[{prio}]", bold_body), Paragraph(f"{t_title}: {t_detail}", body_style) ]) else: # Default high-impact rules tips_rows = [ [Paragraph("[HIGH]", bold_body), Paragraph("Target Keyword Density: Mirror required tools in your Experience section with exact terminology.", body_style)], [Paragraph("[MEDIUM]", bold_body), Paragraph("Quantifiable Metrics: Quantify project scale, latency reduction, and architectural throughput.", body_style)], [Paragraph("[LOW]", bold_body), Paragraph("Single-Column Layout: Use clean single-column structure to ensure 100% ATS parser fidelity.", body_style)] ] tips_table = Table(tips_rows, colWidths=[65, 475]) tips_table.setStyle(TableStyle([ ('VALIGN', (0,0), (-1,-1), 'TOP'), ('BOTTOMPADDING', (0,0), (-1,-1), 5), ('TOPPADDING', (0,0), (-1,-1), 3), ('LEFTPADDING', (0,0), (-1,-1), 4), ('RIGHTPADDING', (0,0), (-1,-1), 4), ('LINEBELOW', (0,0), (-1,-1), 0.5, COLOR_BORDER), ])) elements.append(tips_table) elements.append(Spacer(1, 14)) # 6. Certification & Verification Footer footer_text = Paragraph( "This report is dynamically synthesized by Alture AI Multi-Modal NLP Intelligence Engine v2.0. Analysis includes Sentence-BERT dense embeddings, Cross-Encoder joint attention, 500+ technical ontology matching, and XGBoost regressor scoring calibrated against real-world ATS benchmarks.", ParagraphStyle('FooterText', alignment=1) ) elements.append(KeepTogether([ HRFlowable(width="100%", thickness=0.8, color=COLOR_BORDER, spaceBefore=8, spaceAfter=6), footer_text ])) # Build PDF document doc.build(elements) buffer.seek(0) return buffer.getvalue()