Files
HKUDS-RAG-Anything/examples/enhanced_markdown_example.py
2025-07-29 17:07:15 +08:00

1056 lines
31 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#!/usr/bin/env python
"""
Enhanced Markdown Conversion Example for RAG-Anything
This example demonstrates the enhanced markdown to PDF conversion capabilities
with multiple backends, advanced styling, and professional formatting.
Features demonstrated:
- Basic markdown to PDF conversion
- Multiple conversion backends (WeasyPrint, Pandoc)
- Custom CSS styling and configuration
- Backend detection and selection
- Error handling and fallback mechanisms
- Command-line interface usage
"""
import logging
from pathlib import Path
import tempfile
# Add project root directory to Python path
import sys
sys.path.append(str(Path(__file__).parent.parent))
from raganything.enhanced_markdown import EnhancedMarkdownConverter, MarkdownConfig
def create_sample_markdown_content():
"""Create comprehensive sample markdown content for testing"""
# Basic sample
basic_content = """# Basic Markdown Sample
## Introduction
This is a simple markdown document demonstrating basic formatting.
### Text Formatting
- **Bold text** and *italic text*
- `Inline code` examples
- [Links to external sites](https://github.com)
### Lists
1. First ordered item
2. Second ordered item
3. Third ordered item
- Unordered item
- Another unordered item
- Nested item
- Another nested item
### Blockquotes
> This is a blockquote with important information.
> It can span multiple lines.
### Code Block
```python
def hello_world():
print("Hello, World!")
return "Success"
```
"""
# Technical documentation sample
technical_content = """# Technical Documentation
## Table of Contents
- [Overview](#overview)
- [Architecture](#architecture)
- [Implementation](#implementation)
- [Performance](#performance)
## Overview
This document provides comprehensive technical specifications for the enhanced markdown conversion system.
## Architecture
### Core Components
1. **Markdown Parser**: Processes markdown syntax
2. **CSS Engine**: Applies styling and layout
3. **PDF Generator**: Creates final PDF output
4. **Backend Manager**: Handles multiple conversion engines
### Data Flow
```mermaid
graph LR
A[Markdown Input] --> B[Parser]
B --> C[CSS Processor]
C --> D[PDF Generator]
D --> E[PDF Output]
```
## Implementation
### Python Code Example
```python
from raganything.enhanced_markdown import EnhancedMarkdownConverter, MarkdownConfig
# Configure converter
config = MarkdownConfig(
page_size="A4",
margin="1in",
include_toc=True,
syntax_highlighting=True
)
# Create converter
converter = EnhancedMarkdownConverter(config)
# Convert to PDF
success = converter.convert_file_to_pdf(
input_path="document.md",
output_path="output.pdf",
method="weasyprint"
)
```
### Configuration Options
```yaml
converter:
page_size: A4
margin: 1in
font_size: 12pt
include_toc: true
syntax_highlighting: true
backend: weasyprint
```
## Performance
### Benchmark Results
| Backend | Speed | Quality | Features |
|---------|-------|---------|----------|
| WeasyPrint | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Pandoc | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
### Processing Times
- **Small documents** (< 10 pages): 1-3 seconds
- **Medium documents** (10-50 pages): 3-10 seconds
- **Large documents** (> 50 pages): 10-30 seconds
## Advanced Features
### Custom CSS Styling
The system supports advanced CSS customization:
```css
body {
font-family: 'Georgia', serif;
line-height: 1.6;
color: #333;
}
h1 {
color: #2c3e50;
border-bottom: 2px solid #3498db;
padding-bottom: 0.3em;
}
code {
background-color: #f8f9fa;
padding: 2px 4px;
border-radius: 3px;
font-family: 'Courier New', monospace;
}
pre {
background-color: #f8f9fa;
border-left: 4px solid #3498db;
padding: 15px;
border-radius: 5px;
overflow-x: auto;
}
table {
border-collapse: collapse;
width: 100%;
margin: 1em 0;
}
th, td {
border: 1px solid #ddd;
padding: 8px 12px;
text-align: left;
}
th {
background-color: #f2f2f2;
font-weight: bold;
}
```
### Image Support
![Sample Image](https://via.placeholder.com/400x200/3498db/ffffff?text=Sample+Image)
Images are automatically scaled and positioned appropriately in the PDF output.
## Conclusion
The enhanced markdown conversion system provides professional-quality PDF generation with extensive customization options and multiple backend support.
---
*Generated on: 2024-01-15*
*Version: 1.0.0*
"""
# Academic paper sample
academic_content = """# Research Paper: Advanced Document Processing
**Authors:** Alice Johnson¹, Bob Smith², Carol Williams¹
**Affiliations:**
¹ University of Technology
² Research Institute
## Abstract
This paper presents a comprehensive analysis of advanced document processing techniques using enhanced markdown conversion. Our research demonstrates significant improvements in processing speed and output quality through optimized backend selection and custom styling approaches.
**Keywords:** document processing, markdown conversion, PDF generation, performance optimization
## 1. Introduction
Document processing has become increasingly important in modern information systems. The ability to convert markdown documents to high-quality PDF outputs with professional formatting is crucial for academic, technical, and business applications.
### 1.1 Research Objectives
1. Evaluate different markdown conversion backends
2. Analyze performance characteristics of each approach
3. Develop optimization strategies for large-scale processing
4. Design flexible configuration systems for diverse use cases
### 1.2 Contributions
This work makes the following contributions:
- Comprehensive comparison of markdown conversion backends
- Performance optimization techniques for large documents
- Flexible configuration framework for customization
- Integration patterns for document processing pipelines
## 2. Methodology
### 2.1 Experimental Setup
We conducted experiments using the following configuration:
```python
# Experimental configuration
config = MarkdownConfig(
page_size="A4",
margin="1in",
font_size="11pt",
line_height="1.4",
include_toc=True,
syntax_highlighting=True
)
```
### 2.2 Test Documents
| Category | Count | Avg Size | Complexity |
|----------|-------|----------|------------|
| Simple | 100 | 2 pages | Low |
| Medium | 50 | 10 pages | Medium |
| Complex | 25 | 25 pages | High |
### 2.3 Metrics
We evaluated performance using the following metrics:
- **Conversion Speed**: Time to generate PDF (seconds)
- **Memory Usage**: Peak memory consumption (MB)
- **Output Quality**: Visual assessment score (1-10)
- **Feature Support**: Number of supported markdown features
## 3. Results
### 3.1 Performance Comparison
The following table summarizes our performance results:
| Backend | Speed (s) | Memory (MB) | Quality | Features |
|---------|-----------|-------------|---------|----------|
| WeasyPrint | 2.3 ± 0.5 | 85 ± 15 | 8.5 | 85% |
| Pandoc | 4.7 ± 1.2 | 120 ± 25 | 9.2 | 95% |
### 3.2 Quality Analysis
#### 3.2.1 Typography
WeasyPrint excels in web-style typography with excellent CSS support, while Pandoc provides superior academic formatting with LaTeX-quality output.
#### 3.2.2 Code Highlighting
Both backends support syntax highlighting through Pygments:
```python
def analyze_performance(backend, documents):
'''Analyze conversion performance for given backend'''
results = []
for doc in documents:
start_time = time.time()
success = backend.convert(doc)
end_time = time.time()
results.append({
'document': doc,
'time': end_time - start_time,
'success': success
})
return results
```
### 3.3 Scalability
Our scalability analysis shows:
- Linear scaling with document size for both backends
- Memory usage proportional to content complexity
- Optimal batch sizes of 10-20 documents for parallel processing
## 4. Discussion
### 4.1 Backend Selection Guidelines
Choose **WeasyPrint** for:
- Web-style documents with custom CSS
- Fast conversion requirements
- Simple to medium complexity documents
Choose **Pandoc** for:
- Academic papers and publications
- Complex document structures
- Maximum feature support requirements
### 4.2 Optimization Strategies
1. **Image Optimization**: Compress images before embedding
2. **CSS Minimization**: Use efficient CSS selectors
3. **Content Chunking**: Process large documents in sections
4. **Caching**: Cache converted content for repeated use
## 5. Conclusion
This research demonstrates that enhanced markdown conversion provides significant benefits for document processing workflows. The choice between WeasyPrint and Pandoc depends on specific requirements for speed, quality, and features.
### 5.1 Future Work
- Integration with cloud processing services
- Real-time collaborative editing support
- Advanced template systems
- Performance optimization for very large documents
## References
1. Johnson, A. et al. (2024). "Advanced Document Processing Techniques." *Journal of Information Systems*, 15(3), 45-62.
2. Smith, B. (2023). "PDF Generation Optimization." *Technical Computing Review*, 8(2), 12-28.
3. Williams, C. (2024). "Markdown Processing Frameworks." *Software Engineering Quarterly*, 22(1), 78-95.
---
**Manuscript received:** January 10, 2024
**Accepted for publication:** January 15, 2024
**Published online:** January 20, 2024
"""
return {
"basic": basic_content,
"technical": technical_content,
"academic": academic_content,
}
def demonstrate_basic_conversion():
"""Demonstrate basic markdown to PDF conversion"""
print("\n" + "=" * 60)
print("BASIC MARKDOWN CONVERSION DEMONSTRATION")
print("=" * 60)
try:
# Create converter with default settings
converter = EnhancedMarkdownConverter()
# Show backend information
backend_info = converter.get_backend_info()
print("Available conversion backends:")
for backend, available in backend_info["available_backends"].items():
status = "" if available else ""
print(f" {status} {backend}")
print(f"Recommended backend: {backend_info['recommended_backend']}")
# Get sample content
samples = create_sample_markdown_content()
temp_dir = Path(tempfile.mkdtemp())
# Convert basic sample
basic_md_path = temp_dir / "basic_sample.md"
with open(basic_md_path, "w", encoding="utf-8") as f:
f.write(samples["basic"])
print(f"\nConverting basic sample: {basic_md_path}")
success = converter.convert_file_to_pdf(
input_path=str(basic_md_path),
output_path=str(temp_dir / "basic_sample.pdf"),
method="auto", # Let the system choose the best backend
)
if success:
print("✅ Basic conversion successful!")
print(f" Output: {temp_dir / 'basic_sample.pdf'}")
else:
print("❌ Basic conversion failed")
return success, temp_dir
except Exception as e:
print(f"❌ Basic conversion demonstration failed: {str(e)}")
return False, None
def demonstrate_backend_comparison():
"""Demonstrate different conversion backends"""
print("\n" + "=" * 60)
print("BACKEND COMPARISON DEMONSTRATION")
print("=" * 60)
try:
samples = create_sample_markdown_content()
temp_dir = Path(tempfile.mkdtemp())
# Create technical document
tech_md_path = temp_dir / "technical.md"
with open(tech_md_path, "w", encoding="utf-8") as f:
f.write(samples["technical"])
print("Testing different backends with technical document...")
# Test different backends
backends = ["auto", "weasyprint", "pandoc"]
results = {}
for backend in backends:
try:
print(f"\nTesting {backend} backend...")
converter = EnhancedMarkdownConverter()
output_path = temp_dir / f"technical_{backend}.pdf"
import time
start_time = time.time()
success = converter.convert_file_to_pdf(
input_path=str(tech_md_path),
output_path=str(output_path),
method=backend,
)
end_time = time.time()
conversion_time = end_time - start_time
if success:
file_size = (
output_path.stat().st_size if output_path.exists() else 0
)
print(
f"{backend}: Success in {conversion_time:.2f}s, {file_size} bytes"
)
results[backend] = {
"success": True,
"time": conversion_time,
"size": file_size,
"output": str(output_path),
}
else:
print(f"{backend}: Failed")
results[backend] = {"success": False, "time": conversion_time}
except Exception as e:
print(f"{backend}: Error - {str(e)}")
results[backend] = {"success": False, "error": str(e)}
# Summary
print("\n" + "-" * 40)
print("BACKEND COMPARISON SUMMARY")
print("-" * 40)
successful_backends = [b for b, r in results.items() if r.get("success", False)]
print(f"Successful backends: {successful_backends}")
if successful_backends:
fastest = min(successful_backends, key=lambda b: results[b]["time"])
print(f"Fastest backend: {fastest} ({results[fastest]['time']:.2f}s)")
return results, temp_dir
except Exception as e:
print(f"❌ Backend comparison demonstration failed: {str(e)}")
return None, None
def demonstrate_custom_styling():
"""Demonstrate custom CSS styling and configuration"""
print("\n" + "=" * 60)
print("CUSTOM STYLING DEMONSTRATION")
print("=" * 60)
try:
samples = create_sample_markdown_content()
temp_dir = Path(tempfile.mkdtemp())
# Create custom CSS
custom_css = """
body {
font-family: 'Times New Roman', serif;
font-size: 11pt;
line-height: 1.4;
color: #2c3e50;
max-width: 800px;
margin: 0 auto;
padding: 20px;
}
h1 {
color: #c0392b;
font-size: 2.2em;
border-bottom: 3px solid #e74c3c;
padding-bottom: 0.5em;
margin-top: 2em;
}
h2 {
color: #8e44ad;
font-size: 1.6em;
border-bottom: 2px solid #9b59b6;
padding-bottom: 0.3em;
margin-top: 1.5em;
}
h3 {
color: #2980b9;
font-size: 1.3em;
margin-top: 1.2em;
}
code {
background-color: #ecf0f1;
color: #e74c3c;
padding: 3px 6px;
border-radius: 4px;
font-family: 'Courier New', monospace;
font-size: 0.9em;
}
pre {
background-color: #2c3e50;
color: #ecf0f1;
padding: 20px;
border-radius: 8px;
border-left: 5px solid #3498db;
overflow-x: auto;
font-size: 0.9em;
}
pre code {
background-color: transparent;
color: inherit;
padding: 0;
}
blockquote {
background-color: #f8f9fa;
border-left: 5px solid #3498db;
margin: 1em 0;
padding: 15px 20px;
font-style: italic;
color: #555;
}
table {
border-collapse: collapse;
width: 100%;
margin: 1.5em 0;
background-color: white;
border-radius: 8px;
overflow: hidden;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
th {
background-color: #3498db;
color: white;
padding: 12px 15px;
text-align: left;
font-weight: bold;
}
td {
padding: 10px 15px;
border-bottom: 1px solid #ecf0f1;
}
tr:nth-child(even) {
background-color: #f8f9fa;
}
tr:hover {
background-color: #e8f4fd;
}
ul, ol {
margin-bottom: 1em;
padding-left: 2em;
}
li {
margin-bottom: 0.5em;
line-height: 1.6;
}
a {
color: #3498db;
text-decoration: none;
border-bottom: 1px dotted #3498db;
}
a:hover {
color: #2980b9;
border-bottom: 1px solid #2980b9;
}
.toc {
background-color: #f8f9fa;
border: 2px solid #e9ecef;
border-radius: 8px;
padding: 20px;
margin: 2em 0;
}
.toc h2 {
color: #2c3e50;
margin-top: 0;
border-bottom: none;
}
.toc ul {
list-style-type: none;
padding-left: 0;
}
.toc li {
margin-bottom: 0.8em;
}
.toc a {
color: #2c3e50;
font-weight: 500;
border-bottom: none;
}
"""
# Create custom configuration
config = MarkdownConfig(
page_size="A4",
margin="0.8in",
font_size="11pt",
line_height="1.4",
include_toc=True,
syntax_highlighting=True,
custom_css=custom_css,
)
converter = EnhancedMarkdownConverter(config)
# Convert academic sample with custom styling
academic_md_path = temp_dir / "academic_styled.md"
with open(academic_md_path, "w", encoding="utf-8") as f:
f.write(samples["academic"])
print("Converting academic paper with custom styling...")
print("Custom styling features:")
print(" - Custom color scheme (reds, purples, blues)")
print(" - Times New Roman serif font")
print(" - Enhanced table styling with hover effects")
print(" - Styled code blocks with dark theme")
print(" - Custom blockquote styling")
print(" - Professional header styling")
success = converter.convert_file_to_pdf(
input_path=str(academic_md_path),
output_path=str(temp_dir / "academic_styled.pdf"),
method="weasyprint", # WeasyPrint is best for custom CSS
)
if success:
print("✅ Custom styling conversion successful!")
print(f" Output: {temp_dir / 'academic_styled.pdf'}")
# Also create a default version for comparison
default_converter = EnhancedMarkdownConverter()
default_success = default_converter.convert_file_to_pdf(
input_path=str(academic_md_path),
output_path=str(temp_dir / "academic_default.pdf"),
method="weasyprint",
)
if default_success:
print(f" Comparison (default): {temp_dir / 'academic_default.pdf'}")
else:
print("❌ Custom styling conversion failed")
return success, temp_dir
except Exception as e:
print(f"❌ Custom styling demonstration failed: {str(e)}")
return False, None
def demonstrate_content_conversion():
"""Demonstrate converting markdown content directly (not from file)"""
print("\n" + "=" * 60)
print("CONTENT CONVERSION DEMONSTRATION")
print("=" * 60)
try:
# Create markdown content programmatically
dynamic_content = f"""# Dynamic Content Example
## Generated Information
This document was generated programmatically on {Path(__file__).name}.
## System Information
- **Python Path**: {sys.executable}
- **Script Location**: {Path(__file__).absolute()}
- **Working Directory**: {Path.cwd()}
## Dynamic Table
| Property | Value |
|----------|-------|
| Script Name | {Path(__file__).name} |
| Python Version | {sys.version.split()[0]} |
| Platform | {sys.platform} |
## Code Example
```python
# This content was generated dynamically
import sys
from pathlib import Path
def generate_report():
return f"Report generated from {{Path(__file__).name}}"
print(generate_report())
```
## Features Demonstrated
This example shows how to:
1. Generate markdown content programmatically
2. Convert content directly without saving to file first
3. Include dynamic information in documents
4. Use different conversion methods
> **Note**: This content was created in memory and converted directly to PDF
> without intermediate file storage.
## Conclusion
Direct content conversion is useful for:
- Dynamic report generation
- Programmatic document creation
- API-based document services
- Real-time content processing
"""
temp_dir = Path(tempfile.mkdtemp())
converter = EnhancedMarkdownConverter()
print("Converting dynamically generated markdown content...")
print("Content includes:")
print(" - System information")
print(" - Dynamic tables with current values")
print(" - Generated timestamps")
print(" - Programmatic examples")
# Convert content directly to PDF
output_path = temp_dir / "dynamic_content.pdf"
success = converter.convert_markdown_to_pdf(
markdown_content=dynamic_content,
output_path=str(output_path),
method="auto",
)
if success:
print("✅ Content conversion successful!")
print(f" Output: {output_path}")
# Show file size
file_size = output_path.stat().st_size
print(f" Generated PDF size: {file_size} bytes")
else:
print("❌ Content conversion failed")
return success, temp_dir
except Exception as e:
print(f"❌ Content conversion demonstration failed: {str(e)}")
return False, None
def demonstrate_error_handling():
"""Demonstrate error handling and fallback mechanisms"""
print("\n" + "=" * 60)
print("ERROR HANDLING DEMONSTRATION")
print("=" * 60)
try:
temp_dir = Path(tempfile.mkdtemp())
# Test cases with various issues
test_cases = {
"invalid_markdown": """# Invalid Markdown
This markdown has some {{invalid}} syntax and [broken links](http://nonexistent.invalid).
```unknown_language
This code block uses an unknown language
```
![Missing Image](nonexistent_image.png)
""",
"complex_content": """# Complex Content Test
## Mathematical Expressions
This tests content that might be challenging for some backends:
$$ E = mc^2 $$
$$\\sum_{i=1}^{n} x_i = \\frac{n(n+1)}{2}$$
## Complex Tables
| A | B | C | D | E | F | G |
|---|---|---|---|---|---|---|
| Very long content that might wrap | Short | Medium length content | X | Y | Z | End |
| Another row with different lengths | A | B | C | D | E | F |
## Special Characters
Unicode: α, β, γ, δ, ε, ζ, η, θ, ι, κ, λ, μ, ν, ξ, ο, π, ρ, σ, τ, υ, φ, χ, ψ, ω
Symbols: ♠ ♣ ♥ ♦ ☀ ☁ ☂ ☃ ☄ ★ ☆ ☉ ☊ ☋ ☌ ☍ ☎ ☏
Arrows: ← ↑ → ↓ ↔ ↕ ↖ ↗ ↘ ↙
""",
"empty_content": "",
"minimal_content": "# Just a title",
}
print("Testing error handling with various content types...")
results = {}
for test_name, content in test_cases.items():
print(f"\nTesting: {test_name}")
try:
# Try multiple backends for each test case
for backend in ["auto", "weasyprint", "pandoc"]:
try:
converter = EnhancedMarkdownConverter()
output_path = temp_dir / f"{test_name}_{backend}.pdf"
success = converter.convert_markdown_to_pdf(
markdown_content=content,
output_path=str(output_path),
method=backend,
)
if success:
file_size = (
output_path.stat().st_size
if output_path.exists()
else 0
)
print(f"{backend}: Success ({file_size} bytes)")
results[f"{test_name}_{backend}"] = {
"success": True,
"size": file_size,
}
else:
print(f"{backend}: Failed")
results[f"{test_name}_{backend}"] = {"success": False}
except Exception as e:
print(f"{backend}: Error - {str(e)[:60]}...")
results[f"{test_name}_{backend}"] = {
"success": False,
"error": str(e),
}
except Exception as e:
print(f" ❌ Test case failed: {str(e)}")
# Demonstrate robust conversion with fallbacks
print("\nDemonstrating robust conversion with fallback logic...")
def robust_convert(content, output_path):
"""Convert with multiple backend fallbacks"""
backends = ["weasyprint", "pandoc", "auto"]
for backend in backends:
try:
converter = EnhancedMarkdownConverter()
success = converter.convert_markdown_to_pdf(
markdown_content=content,
output_path=output_path,
method=backend,
)
if success:
return backend, True
except Exception:
continue
return None, False
# Test robust conversion
test_content = test_cases["complex_content"]
robust_output = temp_dir / "robust_conversion.pdf"
successful_backend, success = robust_convert(test_content, str(robust_output))
if success:
print(f"✅ Robust conversion successful using {successful_backend}")
print(f" Output: {robust_output}")
else:
print("❌ All backends failed for robust conversion")
# Summary
print("\n" + "-" * 40)
print("ERROR HANDLING SUMMARY")
print("-" * 40)
successful_conversions = sum(
1 for r in results.values() if r.get("success", False)
)
total_attempts = len(results)
success_rate = (
(successful_conversions / total_attempts * 100) if total_attempts > 0 else 0
)
print(f"Total conversion attempts: {total_attempts}")
print(f"Successful conversions: {successful_conversions}")
print(f"Success rate: {success_rate:.1f}%")
return results, temp_dir
except Exception as e:
print(f"❌ Error handling demonstration failed: {str(e)}")
return None, None
def main():
"""Main demonstration function"""
# Configure logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
print("RAG-Anything Enhanced Markdown Conversion Demonstration")
print("=" * 70)
print(
"This example demonstrates various enhanced markdown conversion capabilities:"
)
print(" - Basic markdown to PDF conversion")
print(" - Multiple backend comparison (WeasyPrint vs Pandoc)")
print(" - Custom CSS styling and professional formatting")
print(" - Direct content conversion without file I/O")
print(" - Comprehensive error handling and fallback mechanisms")
results = {}
# Run demonstrations
print("\n🚀 Starting demonstrations...")
# Basic conversion
success, temp_dir = demonstrate_basic_conversion()
results["basic"] = success
# Backend comparison
backend_results, _ = demonstrate_backend_comparison()
results["backends"] = backend_results
# Custom styling
styling_success, _ = demonstrate_custom_styling()
results["styling"] = styling_success
# Content conversion
content_success, _ = demonstrate_content_conversion()
results["content"] = content_success
# Error handling
error_results, _ = demonstrate_error_handling()
results["error_handling"] = error_results
# Summary
print("\n" + "=" * 70)
print("DEMONSTRATION SUMMARY")
print("=" * 70)
print("✅ Features Successfully Demonstrated:")
if results["basic"]:
print(" - Basic markdown to PDF conversion")
if results["backends"]:
successful_backends = [
b for b, r in results["backends"].items() if r.get("success", False)
]
print(f" - Multiple backends: {successful_backends}")
if results["styling"]:
print(" - Custom CSS styling and professional formatting")
if results["content"]:
print(" - Direct content conversion without file I/O")
if results["error_handling"]:
success_rate = (
sum(
1 for r in results["error_handling"].values() if r.get("success", False)
)
/ len(results["error_handling"])
* 100
)
print(f" - Error handling with {success_rate:.1f}% overall success rate")
print("\n📊 Key Capabilities Highlighted:")
print(" - Professional PDF generation with high-quality typography")
print(" - Multiple conversion backends with automatic selection")
print(" - Extensive CSS customization for branded documents")
print(" - Syntax highlighting for code blocks using Pygments")
print(" - Table formatting with professional styling")
print(" - Image embedding with proper scaling")
print(" - Table of contents generation with navigation")
print(" - Comprehensive error handling and fallback mechanisms")
print("\n💡 Best Practices Demonstrated:")
print(" - Choose WeasyPrint for web-style documents and custom CSS")
print(" - Choose Pandoc for academic papers and complex formatting")
print(" - Use 'auto' method for general-purpose conversion")
print(" - Implement fallback logic for robust conversion")
print(" - Optimize images before embedding in documents")
print(" - Test custom CSS with simple content first")
print(" - Handle errors gracefully with multiple backend attempts")
print(" - Use appropriate page sizes and margins for target use case")
print("\n🎯 Integration Patterns:")
print(" - Standalone conversion for document generation")
print(" - Integration with RAG-Anything document pipeline")
print(" - API-based document services")
print(" - Batch processing for multiple documents")
print(" - Dynamic content generation from templates")
if __name__ == "__main__":
main()