111 lines
4.6 KiB
Python
111 lines
4.6 KiB
Python
from fpdf import FPDF
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class DeploymentReport(FPDF):
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def header(self):
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self.set_fill_color(20, 40, 80) # Navy Blue
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self.rect(0, 0, 210, 40, 'F')
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self.set_text_color(255, 255, 255)
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self.set_font('Arial', 'B', 16)
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self.cell(0, 20, 'Deployment Analysis Report', ln=True, align='C')
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self.set_font('Arial', '', 12)
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self.cell(0, 10, 'Positeasy Clone - Canteen Automation Ecosystem', ln=True, align='C')
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self.ln(20)
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def footer(self):
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self.set_y(-15)
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self.set_font('Arial', 'I', 8)
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self.set_text_color(128, 128, 128)
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self.cell(0, 10, f'Page {self.page_no()} | Generated by Claude Code', align='C')
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def section_title(self, title):
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self.ln(5)
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self.set_font('Arial', 'B', 14)
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self.set_text_color(20, 40, 80)
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self.cell(0, 10, title, ln=True)
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self.ln(2)
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self.set_draw_color(20, 40, 80)
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self.line(self.get_x(), self.get_y(), self.get_x() + 190, self.get_y())
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self.ln(5)
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def section_body(self, text):
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self.set_font('Arial', '', 11)
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self.set_text_color(0, 0, 0)
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self.multi_cell(0, 7, text)
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self.ln(3)
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def create_table(self, header, data):
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self.ln(5)
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self.set_font('Arial', 'B', 10)
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self.set_fill_color(230, 230, 230)
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col_width = 190 / len(header)
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for i, h in enumerate(header):
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self.cell(col_width, 10, h, 1, 0, 'C', fill=True)
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self.ln()
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self.set_font('Arial', '', 9)
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for row in data:
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for item in row:
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self.cell(col_width, 10, str(item), 1)
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self.ln()
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self.ln(5)
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pdf = DeploymentReport()
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pdf.add_page()
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# Section 1: Infrastructure Analysis
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pdf.section_title("1. Infrastructure Analysis & Resource Requirements")
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infra_text = (
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"The system follows a Hub-and-Spoke architecture with a central Java backend and three React frontends.\n\n"
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"Backend (Java 17 / Spring Boot):\n"
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"- CPU: 4 vCPUs recommended for high-concurrency request processing.\n"
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"- RAM: 8GB RAM is the critical baseline to avoid Out-Of-Memory (OOM) crashes during peak hours.\n\n"
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"Database (PostgreSQL):\n"
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"- High-performance NVMe SSD is essential to prevent I/O bottlenecks, especially during daily archival tasks.\n"
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"- Recommended: 2 vCPUs / 4GB RAM.\n\n"
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"Frontends (React/Vite):\n"
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"- Purely static assets; should be served via a Global CDN for low latency."
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)
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pdf.section_body(infra_text)
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# Section 2: Deployment Options
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pdf.section_title("2. Deployment Options")
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pdf.set_font('Arial', 'B', 12)
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pdf.cell(0, 10, "Option A: The Managed Powerhouse (GCP/AWS)", ln=True)
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pdf.section_body("Best for Enterprise reliability and automatic scaling. Use Cloud Run/Fargate for Backend, Managed SQL for DB, and S3/CloudFront for Frontends. Pros: Highest reliability. Cons: Highest cost.")
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pdf.set_font('Arial', 'B', 12)
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pdf.cell(0, 10, "Option B: The Developer's Balance (DigitalOcean/Railway)", ln=True)
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pdf.section_body("Recommended. Best balance of cost, ease of use, and stability. Use Premium Droplets (4vCPU/8GB) and Managed PostgreSQL. Frontends on Vercel/Netlify. Pros: Predictable pricing, fast setup.")
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pdf.set_font('Arial', 'B', 12)
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pdf.cell(0, 10, "Option C: The Budget Optimizer (Hetzner/OVH)", ln=True)
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pdf.section_body("Best for minimum cost. Single powerful VPS hosting both API and DB via Docker Compose. Frontends on Cloudflare Pages. Pros: Lowest cost. Cons: High maintenance burden.")
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# Section 3: Comparison Matrix
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pdf.section_title("3. Comparison Matrix")
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header = ["Dimension", "Option A", "Option B", "Option C"]
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data = [
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["Monthly Cost", "High (~$150+)", "Medium (~$60-90)", "Low (~$20-40)"],
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["Setup Effort", "Medium", "Low", "High"],
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["Scalability", "Automatic", "Manual/Vertical", "Manual/Vertical"],
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["Reliability", "99.99%", "99.9%", "Moderate"],
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["Maintenance", "Near Zero", "Low", "High"]
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]
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pdf.create_table(header, data)
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# Section 4: Operational Strategy
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pdf.section_title("4. Operational Strategy")
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ops_text = (
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"CI/CD Flow: GitHub Actions -> Maven/Vite Build -> Docker Image -> Rolling Update.\n\n"
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"Security:\n"
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"- Secret Management: Use environment variable managers; never commit .env files.\n"
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"- CORS Strategy: Set APP_CORS_ORIGINS to allow only the three specific production frontend domains.\n"
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"- Backups: Automated daily snapshots via managed database providers.\n\n"
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"Monitoring: Implement Spring Boot Actuator to monitor JVM heap and thread counts in real-time."
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)
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pdf.section_body(ops_text)
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pdf.output("Deployment_Report_Positeasy.pdf")
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