create_comprehensive_pdf.py

#!/usr/bin/env python3
"""
Comprehensive PDF generation script for Contract Review & Risk Analysis System methodology
"""

from reportlab.lib.pagesizes import A4
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak, Table, TableStyle
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import inch
from reportlab.lib import colors
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY
import re

def create_comprehensive_pdf():
    # Create PDF document
    doc = SimpleDocTemplate("Contract_Review_Risk_Analysis_Methodology.pdf", pagesize=A4)
    story = []
    
    # Define styles
    styles = getSampleStyleSheet()
    
    # Custom styles
    title_style = ParagraphStyle(
        'CustomTitle',
        parent=styles['Heading1'],
        fontSize=24,
        spaceAfter=30,
        alignment=TA_CENTER,
        textColor=colors.darkblue
    )
    
    subtitle_style = ParagraphStyle(
        'CustomSubtitle',
        parent=styles['Heading2'],
        fontSize=18,
        spaceAfter=20,
        alignment=TA_CENTER,
        textColor=colors.darkblue
    )
    
    heading1_style = ParagraphStyle(
        'CustomHeading1',
        parent=styles['Heading1'],
        fontSize=16,
        spaceAfter=12,
        spaceBefore=12,
        textColor=colors.darkblue
    )
    
    heading2_style = ParagraphStyle(
        'CustomHeading2',
        parent=styles['Heading2'],
        fontSize=14,
        spaceAfter=10,
        spaceBefore=10,
        textColor=colors.darkblue
    )
    
    heading3_style = ParagraphStyle(
        'CustomHeading3',
        parent=styles['Heading3'],
        fontSize=12,
        spaceAfter=8,
        spaceBefore=8,
        textColor=colors.darkblue
    )
    
    normal_style = ParagraphStyle(
        'CustomNormal',
        parent=styles['Normal'],
        fontSize=10,
        spaceAfter=6,
        alignment=TA_JUSTIFY
    )
    
    code_style = ParagraphStyle(
        'CustomCode',
        parent=styles['Normal'],
        fontSize=8,
        fontName='Courier',
        leftIndent=20,
        rightIndent=20,
        spaceAfter=6,
        backColor=colors.lightgrey
    )
    
    # Add title
    story.append(Paragraph("Contract Review & Risk Analysis System", title_style))
    story.append(Paragraph("Comprehensive Methodology & Implementation Guide", subtitle_style))
    story.append(Spacer(1, 20))
    
    # Add author info
    author_info = """
    <b>Author:</b> Mohammad Babaie<br/>
    <b>Email:</b> mj.babaie@gmail.com<br/>
    <b>LinkedIn:</b> https://www.linkedin.com/in/mohammadbabaie/<br/>
    <b>GitHub:</b> https://github.com/Muh76
    """
    story.append(Paragraph(author_info, normal_style))
    story.append(Spacer(1, 20))
    
    # Add project overview
    story.append(Paragraph("Project Overview", heading1_style))
    story.append(Paragraph("Production-ready legal AI system combining CUAD dataset, risk scoring, RAG, and MLOps for maximum employment impact.", normal_style))
    story.append(Spacer(1, 12))
    
    # Add core value proposition
    story.append(Paragraph("Core Value Proposition", heading2_style))
    story.append(Paragraph("• <b>Risk-First Approach:</b> Prioritize risk scoring over pure classification", normal_style))
    story.append(Paragraph("• <b>Actionable Intelligence:</b> Provide specific recommendations, not just analysis", normal_style))
    story.append(Paragraph("• <b>Production Ready:</b> Full MLOps pipeline with monitoring and deployment", normal_style))
    story.append(Paragraph("• <b>Business Focus:</b> ROI metrics and compliance tracking", normal_style))
    story.append(Spacer(1, 12))
    
    # Add market opportunity
    story.append(Paragraph("Market Opportunity", heading2_style))
    story.append(Paragraph("• <b>Legal Tech Market:</b> $25B+ growing at 15% CAGR", normal_style))
    story.append(Paragraph("• <b>Contract Review:</b> $3B+ segment with 80% manual processes", normal_style))
    story.append(Paragraph("• <b>AI Adoption:</b> 60% of law firms planning AI investment in next 2 years", normal_style))
    story.append(Spacer(1, 12))
    
    # Add competitive advantages
    story.append(Paragraph("Competitive Advantages", heading2_style))
    story.append(Paragraph("1. <b>Real Dataset:</b> CUAD v1 with 510 contracts and 13,000+ labels", normal_style))
    story.append(Paragraph("2. <b>Risk Quantification:</b> Numerical risk scores with business impact", normal_style))
    story.append(Paragraph("3. <b>RAG Integration:</b> Precedent analysis and alternative suggestions", normal_style))
    story.append(Paragraph("4. <b>Production Deployment:</b> Full-stack solution, not just research", normal_style))
    story.append(Spacer(1, 12))
    
    # Add implementation phases
    story.append(Paragraph("Implementation Phases", heading1_style))
    story.append(Spacer(1, 12))
    
    # Phase 1
    story.append(Paragraph("Phase 1: MVP Foundation (2 weeks)", heading2_style))
    story.append(Paragraph("<b>Goal:</b> Working demo with core risk analysis", normal_style))
    story.append(Spacer(1, 6))
    
    story.append(Paragraph("Week 1: Core Analysis Engine", heading3_style))
    story.append(Paragraph("☐ Set up development environment", normal_style))
    story.append(Paragraph("☐ Implement CUAD data preprocessing", normal_style))
    story.append(Paragraph("☐ Build basic clause extraction model", normal_style))
    story.append(Paragraph("☐ Create risk scoring algorithm", normal_style))
    story.append(Paragraph("☐ Develop clause highlighting system", normal_style))
    story.append(Spacer(1, 6))
    
    story.append(Paragraph("Week 2: User Interface & RAG", heading3_style))
    story.append(Paragraph("☐ Build Streamlit dashboard", normal_style))
    story.append(Paragraph("☐ Implement vector database (ChromaDB)", normal_style))
    story.append(Paragraph("☐ Add similar clause retrieval", normal_style))
    story.append(Paragraph("☐ Integrate SHAP explanations", normal_style))
    story.append(Paragraph("☐ Deploy MVP to Streamlit Cloud", normal_style))
    story.append(Spacer(1, 12))
    
    # Phase 2
    story.append(Paragraph("Phase 2: Production Features (1 month)", heading2_style))
    story.append(Paragraph("<b>Goal:</b> Production-ready API with MLOps", normal_style))
    story.append(Spacer(1, 6))
    
    story.append(Paragraph("Week 3-4: Backend & API", heading3_style))
    story.append(Paragraph("☐ Develop FastAPI backend", normal_style))
    story.append(Paragraph("☐ Implement authentication system", normal_style))
    story.append(Paragraph("☐ Add file upload/processing", normal_style))
    story.append(Paragraph("☐ Create RESTful endpoints", normal_style))
    story.append(Paragraph("☐ Add request/response validation", normal_style))
    story.append(Spacer(1, 6))
    
    story.append(Paragraph("Week 5-6: MLOps & Monitoring", heading3_style))
    story.append(Paragraph("☐ Set up MLflow tracking", normal_style))
    story.append(Paragraph("☐ Implement model versioning", normal_style))
    story.append(Paragraph("☐ Add performance monitoring", normal_style))
    story.append(Paragraph("☐ Create automated retraining pipeline", normal_style))
    story.append(Paragraph("☐ Set up alerting system", normal_style))
    story.append(Spacer(1, 12))
    
    # Phase 3
    story.append(Paragraph("Phase 3: Advanced Features (2 months)", heading2_style))
    story.append(Paragraph("<b>Goal:</b> Enterprise-ready solution", normal_style))
    story.append(Spacer(1, 6))
    
    story.append(Paragraph("Month 2: Innovation & RAG", heading3_style))
    story.append(Paragraph("☐ Advanced RAG with LLM integration", normal_style))
    story.append(Paragraph("☐ Multi-modal document processing", normal_style))
    story.append(Paragraph("☐ Alternative clause suggestions", normal_style))
    story.append(Paragraph("☐ Precedent analysis system", normal_style))
    story.append(Paragraph("☐ Risk trend analysis", normal_style))
    story.append(Spacer(1, 6))
    
    story.append(Paragraph("Month 3: Scale & Polish", heading3_style))
    story.append(Paragraph("☐ Cloud deployment (AWS/GCP)", normal_style))
    story.append(Paragraph("☐ Load testing & optimization", normal_style))
    story.append(Paragraph("☐ Security hardening", normal_style))
    story.append(Paragraph("☐ Comprehensive documentation", normal_style))
    story.append(Paragraph("☐ Demo preparation", normal_style))
    story.append(Spacer(1, 12))
    
    # Add core methodologies
    story.append(Paragraph("Core Methodologies", heading1_style))
    story.append(Spacer(1, 12))
    
    # Multi-task learning model
    story.append(Paragraph("Multi-Task Learning Model", heading2_style))
    code_text = """
class LegalContractModel(nn.Module):
    def __init__(self, num_categories=41):
        super().__init__()
        self.encoder = AutoModel.from_pretrained("roberta-base")
        self.classifiers = nn.ModuleDict({
            'binary': nn.Linear(768, 2),      # Yes/No categories
            'extractive': nn.Linear(768, 2),  # Span extraction
            'regression': nn.Linear(768, 1)   # Dates, amounts
        })
    
    def forward(self, input_ids, attention_mask, task_type):
        outputs = self.encoder(input_ids, attention_mask)
        return self.classifiers[task_type](outputs.pooler_output)
    """
    story.append(Paragraph(code_text, code_style))
    story.append(Spacer(1, 12))
    
    # Risk scoring algorithm
    story.append(Paragraph("Risk Scoring Algorithm", heading2_style))
    code_text = """
class RiskScoringEngine:
    def __init__(self):
        self.risk_weights = {
            'uncapped_liability': 0.25,
            'non_compete': 0.20,
            'ip_assignment': 0.15,
            'termination_convenience': 0.10,
            'audit_rights': 0.05
        }
    
    def calculate_risk_score(self, extracted_clauses):
        risk_score = 0
        for clause_type, weight in self.risk_weights.items():
            if clause_type in extracted_clauses:
                risk_score += weight * self._clause_risk_value(extracted_clauses[clause_type])
        return min(risk_score, 1.0)
    """
    story.append(Paragraph(code_text, code_style))
    story.append(Spacer(1, 12))
    
    # Add RAG implementation
    story.append(Paragraph("RAG Implementation", heading1_style))
    story.append(Paragraph("Retrieval-Augmented Generation for precedent analysis and alternative clause suggestions", normal_style))
    story.append(Spacer(1, 12))
    
    code_text = """
class LegalRAGSystem:
    def __init__(self):
        self.embedder = SentenceTransformer('all-MiniLM-L6-v2')
        self.vector_db = chromadb.Client()
        self.collection = self.vector_db.create_collection("legal_clauses")
        self.llm = openai.OpenAI()
    
    def find_similar_clauses(self, query_clause, clause_type):
        query_embedding = self.embedder.encode(query_clause)
        results = self.collection.query(
            query_embeddings=[query_embedding],
            n_results=5,
            where={'clause_type': clause_type}
        )
        return results
    
    def suggest_alternative_wording(self, risky_clause, clause_type):
        similar_clauses = self.find_similar_clauses(risky_clause, clause_type)
        # Generate safer alternative wording
        return self.llm.generate_suggestion(risky_clause, similar_clauses)
    """
    story.append(Paragraph(code_text, code_style))
    story.append(Spacer(1, 12))
    
    # Add business metrics
    story.append(Paragraph("Business Metrics & ROI", heading1_style))
    story.append(Spacer(1, 12))
    
    story.append(Paragraph("Key Performance Indicators", heading2_style))
    story.append(Paragraph("• <b>Time Savings:</b> 80% reduction in contract review time", normal_style))
    story.append(Paragraph("• <b>Cost Reduction:</b> $500-2000 per contract reviewed", normal_style))
    story.append(Paragraph("• <b>Risk Mitigation:</b> 95% detection rate for critical clauses", normal_style))
    story.append(Paragraph("• <b>Scalability:</b> Process 1000+ contracts/day", normal_style))
    story.append(Paragraph("• <b>User Satisfaction:</b> >90% positive feedback", normal_style))
    story.append(Spacer(1, 12))
    
    # Add employment strategy
    story.append(Paragraph("Employment Strategy", heading1_style))
    story.append(Spacer(1, 12))
    
    story.append(Paragraph("Target Companies", heading2_style))
    story.append(Paragraph("1. <b>Legal Tech Startups:</b> DocuSign, LegalZoom, Clio", normal_style))
    story.append(Paragraph("2. <b>Law Firms:</b> Big Law firms with tech initiatives", normal_style))
    story.append(Paragraph("3. <b>Enterprise:</b> Fortune 500 companies with legal departments", normal_style))
    story.append(Paragraph("4. <b>Consulting:</b> McKinsey, BCG, Deloitte", normal_style))
    story.append(Paragraph("5. <b>Tech Companies:</b> Google, Microsoft, Amazon", normal_style))
    story.append(Spacer(1, 12))
    
    # Add success metrics
    story.append(Paragraph("Success Metrics", heading1_style))
    story.append(Spacer(1, 12))
    
    story.append(Paragraph("Technical Success Metrics", heading2_style))
    story.append(Paragraph("• <b>Model Accuracy:</b> >85% on CUAD test set", normal_style))
    story.append(Paragraph("• <b>Risk Scoring Correlation:</b> >0.8 with expert assessment", normal_style))
    story.append(Paragraph("• <b>API Response Time:</b> <2 seconds", normal_style))
    story.append(Paragraph("• <b>System Uptime:</b> >99.5%", normal_style))
    story.append(Paragraph("• <b>Code Coverage:</b> >90%", normal_style))
    story.append(Spacer(1, 12))
    
    story.append(Paragraph("Employment Success Metrics", heading2_style))
    story.append(Paragraph("• <b>Portfolio Visits:</b> 10x more than typical projects", normal_style))
    story.append(Paragraph("• <b>Interview Requests:</b> 5x higher response rate", normal_style))
    story.append(Paragraph("• <b>Salary Negotiation:</b> 20-30% higher offers", normal_style))
    story.append(Paragraph("• <b>Role Level:</b> Senior/Lead positions", normal_style))
    story.append(Paragraph("• <b>Company Tier:</b> Top-tier companies", normal_style))
    story.append(Spacer(1, 12))
    
    # Add key success factors
    story.append(Paragraph("Key Success Factors", heading1_style))
    story.append(Spacer(1, 12))
    
    story.append(Paragraph("1. <b>Focus on Risk:</b> Prioritize risk scoring over pure classification", normal_style))
    story.append(Paragraph("2. <b>RAG Integration:</b> Add precedent analysis and suggestions", normal_style))
    story.append(Paragraph("3. <b>Production Ready:</b> Full MLOps pipeline with monitoring", normal_style))
    story.append(Paragraph("4. <b>Business Focus:</b> ROI metrics and compliance tracking", normal_style))
    story.append(Paragraph("5. <b>Portfolio Quality:</b> Polished demo and documentation", normal_style))
    story.append(Spacer(1, 12))
    
    # Add next steps
    story.append(Paragraph("Next Steps", heading1_style))
    story.append(Spacer(1, 12))
    
    story.append(Paragraph("1. Set up development environment", normal_style))
    story.append(Paragraph("2. Begin Phase 1 implementation", normal_style))
    story.append(Paragraph("3. Track progress weekly", normal_style))
    story.append(Paragraph("4. Iterate based on feedback", normal_style))
    story.append(Paragraph("5. Prepare for deployment and demo", normal_style))
    story.append(Spacer(1, 20))
    
    # Add footer
    footer_text = "This document should be reviewed and updated weekly to track progress and ensure alignment with project goals."
    story.append(Paragraph(footer_text, normal_style))
    
    # Build PDF
    try:
        doc.build(story)
        print("✅ Comprehensive PDF created successfully: Contract_Review_Risk_Analysis_Methodology.pdf")
        print("📄 The PDF now contains:")
        print("   • Complete project methodology")
        print("   • Implementation phases with timelines")
        print("   • Technical specifications and code examples")
        print("   • Business metrics and ROI calculations")
        print("   • Employment strategy and success metrics")
        print("   • Weekly progress tracking checklists")
    except Exception as e:
        print(f"❌ Error creating comprehensive PDF: {e}")

if __name__ == "__main__":
    create_comprehensive_pdf()