dunkirk.sh
downloads cedarville publishing books as pdf
chore: use browser pdf print
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.gitignore
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.gitignore
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README.md
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README.md
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## Features
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- Downloads all 340 pages (SVG text layers + high-res WebP images)
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- Composites layers with proper font rendering
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- Creates high-quality PDF (1045x1350 pixels per page)
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- Optional: Add searchable text with OCR
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- **Creates true vector PDF** with embedded custom fonts using Playwright Print-to-PDF
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- Text is **perfectly sharp** at any zoom level and fully **selectable/searchable**
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- Fast: ~15-20 minutes total (download + PDF creation)
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- Final PDF: ~62 MB with 340 high-quality pages
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## Quick Start
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···
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python create_pdf.py
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```
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Composites SVG + WebP and creates `Invitation_to_Cybersecurity.pdf`
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### 4. Add OCR (Optional)
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```bash
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brew install ocrmypdf
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ocrmypdf Invitation_to_Cybersecurity.pdf Invitation_to_Cybersecurity_OCR.pdf
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```
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Creates a version with selectable/searchable text.
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Creates `Invitation_to_Cybersecurity.pdf` using Playwright's Print-to-PDF:
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- Each page rendered as vector PDF with embedded fonts
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- High-res WebP images as backgrounds
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- SVG text preserved as vectors (sharp at any zoom!)
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- Fully selectable and searchable text
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- Takes ~10-15 minutes
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## Requirements
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···
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## Output
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- **Invitation_to_Cybersecurity.pdf** - 340 pages, ~70-80 MB, high quality
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- **Invitation_to_Cybersecurity_OCR.pdf** - Same as above + searchable text (optional)
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- **Invitation_to_Cybersecurity.pdf** - 340 pages, ~62 MB, true vector text with embedded custom fonts!
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## File Structure
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build.sh
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build.sh
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fi
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# Step 5: Create PDF
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echo -e "${BLUE}[Step 5/6] Creating PDF from layers...${NC}"
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echo -e "${BLUE}[Step 5/5] Creating PDF with vector text...${NC}"
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if [ ! -f "Invitation_to_Cybersecurity.pdf" ]; then
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echo "This will composite SVG + WebP and create the PDF"
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echo "Estimated time: 8-10 minutes"
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echo "This will create PDF with embedded vector text"
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echo "Estimated time: 30-60 seconds"
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echo ""
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python create_pdf.py
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echo -e "${GREEN}✓ PDF created successfully${NC}"
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echo -e "${GREEN}✓ PDF created with selectable text!${NC}"
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else
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echo "✓ PDF already exists"
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read -p "Recreate PDF? (y/N): " recreate
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fi
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fi
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# Step 6: Add OCR text layer (optional)
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echo -e "${BLUE}[Step 6/6] Adding OCR text layer (optional)...${NC}"
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if command -v ocrmypdf &> /dev/null; then
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if [ ! -f "Invitation_to_Cybersecurity_OCR.pdf" ]; then
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read -p "Add searchable text layer with OCR? This will take 30-60 minutes. (y/N): " add_ocr
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if [[ $add_ocr =~ ^[Yy]$ ]]; then
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echo "Running OCR (this will take a while)..."
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ocrmypdf --force-ocr Invitation_to_Cybersecurity.pdf Invitation_to_Cybersecurity_OCR.pdf
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echo -e "${GREEN}✓ OCR PDF created with selectable text${NC}"
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else
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echo "Skipped OCR step"
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fi
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else
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echo "✓ OCR PDF already exists"
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fi
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else
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echo "⚠ ocrmypdf not installed. To add selectable text, run:"
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echo " brew install ocrmypdf"
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echo " ocrmypdf Invitation_to_Cybersecurity.pdf Invitation_to_Cybersecurity_OCR.pdf"
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fi
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echo ""
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echo -e "${GREEN}================================================${NC}"
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echo -e "${GREEN}✓ Complete!${NC}"
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echo "Output files:"
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if [ -f "Invitation_to_Cybersecurity.pdf" ]; then
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SIZE=$(du -h "Invitation_to_Cybersecurity.pdf" | cut -f1)
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echo " 📄 Invitation_to_Cybersecurity.pdf ($SIZE)"
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fi
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if [ -f "Invitation_to_Cybersecurity_OCR.pdf" ]; then
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SIZE=$(du -h "Invitation_to_Cybersecurity_OCR.pdf" | cut -f1)
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echo " 📄 Invitation_to_Cybersecurity_OCR.pdf ($SIZE) [with selectable text]"
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echo " 📄 Invitation_to_Cybersecurity.pdf ($SIZE) [vector text + high-res images]"
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fi
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echo ""
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echo "✨ Text is embedded as vectors - selectable and searchable!"
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echo ""
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clean.sh
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clean.sh
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echo "✓ Removed merged pages"
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# Remove generated PDFs
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rm -f Invitation_to_Cybersecurity.pdf Invitation_to_Cybersecurity_OCR.pdf
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echo "✓ Removed PDFs"
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rm -f Invitation_to_Cybersecurity.pdf
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echo "✓ Removed PDF"
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# Remove virtual environment
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rm -rf venv
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create_pdf.py
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create_pdf.py
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#!/usr/bin/env python3
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"""
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Create PDF by compositing SVG + WebP layers using Playwright.
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Ensures proper font rendering.
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Create PDF using Playwright's native PDF printing (creates vectors!).
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"""
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import asyncio
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from pathlib import Path
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from PIL import Image
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from playwright.async_api import async_playwright
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import sys
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async def merge_page(page, page_num, svg_dir, webp_dir, output_file):
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"""Merge SVG and WebP using browser rendering."""
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svg_file = svg_dir / f"page_{page_num:04d}.svg"
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webp_file = webp_dir / f"page_{page_num:04d}_3.webp"
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if not webp_file.exists() and not svg_file.exists():
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return False
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# Get dimensions from WebP
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if webp_file.exists():
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img = Image.open(webp_file)
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width, height = img.size
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else:
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width, height = 1045, 1350
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# Create HTML
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html_content = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<style>
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body {{ margin: 0; padding: 0; }}
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.container {{
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position: relative;
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width: {width}px;
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height: {height}px;
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}}
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.layer {{
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position: absolute;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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}}
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</style>
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</head>
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<body>
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<div class="container">
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"""
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if webp_file.exists():
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html_content += f'<img class="layer" src="file://{webp_file.absolute()}" />'
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if svg_file.exists():
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html_content += f'<img class="layer" src="file://{svg_file.absolute()}" />'
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html_content += """
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</div>
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</body>
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</html>
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"""
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temp_html = output_file.parent / "temp_render.html"
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with open(temp_html, 'w') as f:
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f.write(html_content)
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try:
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await page.goto(f"file://{temp_html.absolute()}")
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await page.wait_for_load_state('networkidle', timeout=10000)
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container = await page.query_selector('.container')
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screenshot_bytes = await container.screenshot()
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with open(output_file, 'wb') as f:
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f.write(screenshot_bytes)
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temp_html.unlink()
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return True
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except Exception as e:
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print(f" Error page {page_num}: {e}")
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if temp_html.exists():
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temp_html.unlink()
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return False
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async def main():
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script_dir = Path(__file__).parent
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svg_dir = script_dir / "svg_layers"
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webp_dir = script_dir / "webp_highres"
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merged_dir = script_dir / "merged_pages"
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merged_dir.mkdir(exist_ok=True)
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pdf_dir = script_dir / "pdf_pages"
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pdf_dir.mkdir(exist_ok=True)
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print("Creating PDF with Playwright (proper font rendering)...")
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print("Estimated time: 8-10 minutes")
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print("Creating vector PDFs using Playwright Print-to-PDF...")
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print()
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# Get page dimensions
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sample_webp = webp_dir / "page_0020_3.webp"
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img = Image.open(sample_webp)
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page_width, page_height = img.size
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# Convert pixels to inches (assuming 96 DPI)
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width_inches = page_width / 96
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height_inches = page_height / 96
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async with async_playwright() as p:
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browser = await p.chromium.launch(headless=True)
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page = await browser.new_page()
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# Merge all pages
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# Generate PDF for each page
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for page_num in range(1, 341):
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if page_num % 10 == 0:
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print(f" Rendering: {page_num}/340 pages...")
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sys.stdout.flush()
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print(f" Creating PDF: {page_num}/340...")
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svg_file = svg_dir / f"page_{page_num:04d}.svg"
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webp_file = webp_dir / f"page_{page_num:04d}_3.webp"
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output_file = merged_dir / f"page_{page_num:04d}.png"
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await merge_page(page, page_num, svg_dir, webp_dir, output_file)
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# Create HTML
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html = f"""<!DOCTYPE html>
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<html>
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<head>
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<style>
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* {{ margin: 0; padding: 0; }}
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body {{
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width: {page_width}px;
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height: {page_height}px;
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position: relative;
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}}
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.layer {{
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position: absolute;
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top: 0;
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left: 0;
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width: {page_width}px;
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height: {page_height}px;
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}}
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</style>
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</head>
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<body>
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"""
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if webp_file.exists():
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html += f' <img class="layer" src="file://{webp_file.absolute()}" />\n'
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if svg_file.exists():
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html += f' <img class="layer" src="file://{svg_file.absolute()}" />\n'
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html += """</body>
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</html>"""
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# Save HTML
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html_file = pdf_dir / f"page_{page_num:04d}.html"
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with open(html_file, 'w') as f:
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f.write(html)
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# Navigate and print to PDF
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await page.goto(f"file://{html_file.absolute()}")
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await page.wait_for_load_state('networkidle')
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pdf_file = pdf_dir / f"page_{page_num:04d}.pdf"
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await page.pdf(
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path=str(pdf_file),
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width=f"{width_inches}in",
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height=f"{height_inches}in",
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print_background=True,
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margin={'top': '0', 'bottom': '0', 'left': '0', 'right': '0'}
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)
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# Cleanup HTML
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html_file.unlink()
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await browser.close()
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print()
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print("All pages rendered! Creating PDF...")
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print("Merging individual PDFs...")
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# Merge all PDFs using PyPDF2
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from PyPDF2 import PdfMerger
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# Convert to PDF
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image_files = sorted(merged_dir.glob("page_*.png"))
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merger = PdfMerger()
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pdf_files = sorted(pdf_dir.glob("page_*.pdf"))
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images = []
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for i, img_file in enumerate(image_files, 1):
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for i, pdf_file in enumerate(pdf_files, 1):
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if i % 50 == 0:
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print(f" Adding to PDF: {i}/{len(image_files)}...")
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sys.stdout.flush()
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img = Image.open(img_file).convert('RGB')
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images.append(img)
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print(f" Merging: {i}/{len(pdf_files)}...")
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merger.append(str(pdf_file))
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if images:
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output_pdf = script_dir / "Invitation_to_Cybersecurity.pdf"
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images[0].save(
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output_pdf,
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"PDF",
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resolution=100.0,
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save_all=True,
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append_images=images[1:]
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)
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file_size = output_pdf.stat().st_size / 1024 / 1024
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print()
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print(f"✓ PDF created successfully!")
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print(f" Location: {output_pdf}")
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print(f" Pages: {len(images)}")
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print(f" Size: {file_size:.1f} MB")
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output_pdf = script_dir / "Invitation_to_Cybersecurity.pdf"
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merger.write(str(output_pdf))
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merger.close()
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# Cleanup individual PDFs
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print("\nCleaning up...")
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for pdf_file in pdf_files:
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pdf_file.unlink()
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pdf_dir.rmdir()
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file_size = output_pdf.stat().st_size / 1024 / 1024
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print()
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print(f"✓ Vector PDF created!")
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print(f" Location: {output_pdf}")
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print(f" Pages: {len(pdf_files)}")
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print(f" Size: {file_size:.1f} MB")
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print()
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print("Text should be vector with embedded fonts!")
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if __name__ == "__main__":
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asyncio.run(main())