#!/usr/bin/env python3
"""
Manual Testing Helper for Markdown Rendering Feature (003-render-ai-analyis)
This script creates test feedback with various markdown content to verify:
- Markdown rendering (headings, lists, tables, code blocks, links)
- XSS protection (script/iframe removal)
- Link security attributes
- Performance
Usage:
python test_markdown_manual.py
"""
import os
import sys
import uuid
import yaml
from pathlib import Path
def create_test_feedback(product_id, feedback_id, content_text, analysis_markdown):
"""Create test feedback with markdown analysis.
Args:
product_id: Product ID (e.g., 'test-product')
feedback_id: Unique feedback ID
content_text: Feedback content text
analysis_markdown: AI analysis in markdown format
"""
# Create feedback directory
feedback_dir = Path(f'data/products/{product_id}/feedback/{feedback_id}')
feedback_dir.mkdir(parents=True, exist_ok=True)
# Create metadata
metadata = {
'feedback_id': feedback_id,
'product_id': product_id,
'status': 'new',
'language': 'en',
'submitted_at': '2025-10-18T06:00:00Z',
'updated_at': '2025-10-18T06:00:00Z',
'content_preview': content_text[:100],
'has_attachments': False,
'attachment_count': 0,
'ai_category': 'Feature Request',
'ai_sentiment': 'Positive'
}
with open(feedback_dir / 'metadata.yaml', 'w') as f:
yaml.dump(metadata, f)
# Create content
with open(feedback_dir / 'content.txt', 'w') as f:
f.write(content_text)
# Create analysis
with open(feedback_dir / 'analysis.md', 'w') as f:
f.write(analysis_markdown)
print(f"✅ Created feedback: {feedback_id}")
return feedback_id
def main():
"""Create test feedback samples for manual testing."""
print("=" * 70)
print("MARKDOWN RENDERING - MANUAL TEST DATA GENERATOR")
print("=" * 70)
print()
product_id = 'test-product'
# Test 1: Rich Markdown Formatting
print("Creating Test 1: Rich Markdown Formatting...")
feedback_id_1 = str(uuid.uuid4())
analysis_1 = """## Summary
The customer feedback is **highly positive** with some *minor concerns*.
### Key Points
- Easy to use interface
- Great performance improvements
- Excellent customer support
- Minor UI inconsistencies
### Recommendations
1. Improve documentation for advanced features
2. Add more customization options
3. Fix known bugs in the dashboard
4. Enhance mobile responsiveness
### Technical Details
The system uses `Flask` framework with the following code structure:
```python
@app.route('/dashboard')
def dashboard():
return render_template('dashboard.html')
```
This provides a clean separation of concerns.
### External References
See [Flask Documentation](https://flask.palletsprojects.com/) for more information about routing.
Also check [Python Best Practices](https://docs.python-guide.org/) for coding standards.
### Data Summary
| Metric | Value | Change |
|---------------|----------|---------|
| Score | 9/10 | +2 |
| Sentiment | Positive | Same |
| Response Time | 24h | Improved|
| Priority | Medium | - |
### Code Example with Inline Code
The `markdown_filter` function uses both `markdown2` and `bleach` libraries for safe rendering.
"""
create_test_feedback(
product_id,
feedback_id_1,
"This product is amazing! Great features and excellent support.",
analysis_1
)
# Test 2: XSS Security Testing
print("Creating Test 2: XSS Security Testing...")
feedback_id_2 = str(uuid.uuid4())
analysis_2 = """## Security Analysis
This feedback contains **safe content** that should render properly.
### Attempted XSS Attacks (Should be blocked)
Below are various XSS attempts that should be completely removed:
**Bold text should still work** after the script tags.
### JavaScript Protocol
This is a [dangerous link](javascript:alert('xss')) that should be sanitized.
### Embedded Content
### Safe Content
- This list should render normally
- Even after dangerous content
- **Bold** and *italic* should work
The analysis engine detected potential security concerns.
"""
create_test_feedback(
product_id,
feedback_id_2,
"Testing security features of the platform.",
analysis_2
)
# Test 3: Complex Tables and Lists
print("Creating Test 3: Complex Tables and Lists...")
feedback_id_3 = str(uuid.uuid4())
analysis_3 = """## Feature Comparison Matrix
### Pricing Tiers
| Feature | Free | Pro | Enterprise |
|---------------------|------|------|------------|
| Users | 5 | 25 | Unlimited |
| Storage | 1GB | 50GB | 1TB |
| API Access | ❌ | ✅ | ✅ |
| Priority Support | ❌ | ❌ | ✅ |
| Custom Domain | ❌ | ✅ | ✅ |
### Nested Lists
1. **Primary Features**
- User Management
- Role-based access
- SSO integration
- Dashboard Analytics
- Real-time metrics
- Custom reports
2. **Secondary Features**
- Export functionality
- API documentation
- Webhook support
3. **Future Roadmap**
- Mobile app
- Advanced analytics
- AI-powered insights
### Mixed List Types
- Unordered item 1
- Unordered item 2
1. Ordered sub-item A
2. Ordered sub-item B
- Unordered item 3
### Code Samples
Python example:
```python
def analyze_feedback(text: str) -> dict:
\"\"\"Analyze customer feedback.\"\"\"
return {
'sentiment': 'positive',
'category': 'feature_request'
}
```
JavaScript example:
```javascript
function submitFeedback(data) {
fetch('/api/feedback', {
method: 'POST',
body: JSON.stringify(data)
});
}
```
"""
create_test_feedback(
product_id,
feedback_id_3,
"Requesting detailed feature comparison and roadmap information.",
analysis_3
)
# Test 4: Long Content (Performance Test)
print("Creating Test 4: Long Content (Performance Test)...")
feedback_id_4 = str(uuid.uuid4())
# Generate long markdown content
sections = []
for i in range(30):
sections.append(f"""## Section {i + 1}
This is section {i + 1} with **bold** and *italic* text for performance testing.
### Subsection {i + 1}.1
- Point A
- Point B
- Point C
### Subsection {i + 1}.2
1. Step one
2. Step two
3. Step three
| Column A | Column B | Column C |
|----------|----------|----------|
| Value {i} | Data {i} | Info {i} |
Code sample:
```python
def function_{i}():
return {i}
```
""")
analysis_4 = "\n\n".join(sections)
create_test_feedback(
product_id,
feedback_id_4,
"Performance testing with large markdown content.",
analysis_4
)
print()
print("=" * 70)
print("✅ TEST DATA CREATED SUCCESSFULLY")
print("=" * 70)
print()
print("Test Feedback IDs:")
print(f" 1. Rich Formatting: {feedback_id_1}")
print(f" 2. XSS Security: {feedback_id_2}")
print(f" 3. Complex Tables: {feedback_id_3}")
print(f" 4. Performance: {feedback_id_4}")
print()
print("Next Steps:")
print(" 1. Start the Flask application: python run.py")
print(" 2. Login at: http://localhost:5000/login")
print(" Username: admin")
print(" Password: admin123")
print(" 3. View dashboard: http://localhost:5000/dashboard")
print(" 4. Click on each feedback to verify markdown rendering")
print()
print("What to Verify:")
print(" ✅ Headings (h2, h3) are rendered as HTML")
print(" ✅ Lists (ul, ol) have proper bullets/numbers")
print(" ✅ Tables have borders and proper structure")
print(" ✅ Code blocks have monospace font and background")
print(" ✅ Links open in new tab (target=\"_blank\")")
print(" ✅ Links have rel=\"noopener noreferrer nofollow\"")
print(" ✅ Script tags are completely removed")
print(" ✅ Iframes are completely removed")
print(" ✅ Images are removed")
print(" ✅ Page loads in < 2 seconds (check browser devtools)")
print("=" * 70)
if __name__ == '__main__':
main()