132 lines
5.6 KiB
Python
132 lines
5.6 KiB
Python
"""
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Test script for Blog Content SEO Analyzer
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This script tests the core functionality of the SEO analyzer
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without requiring the full application setup.
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"""
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import asyncio
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import sys
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import os
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# Add the backend directory to the Python path
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sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'backend'))
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from services.blog_writer.seo.blog_content_seo_analyzer import BlogContentSEOAnalyzer
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async def test_seo_analyzer():
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"""Test the SEO analyzer with sample data"""
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# Sample blog content
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sample_content = """
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# The Ultimate Guide to AI-Powered Blog Writing
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## Introduction
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In today's digital landscape, content creation has become more important than ever. With the rise of artificial intelligence, we're seeing revolutionary changes in how we approach blog writing and content marketing.
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## What is AI-Powered Blog Writing?
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AI-powered blog writing refers to the use of artificial intelligence tools and technologies to assist in the creation, optimization, and management of blog content. This includes everything from research and outline generation to content creation and SEO optimization.
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## Key Benefits of AI Blog Writing
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### 1. Increased Efficiency
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AI tools can significantly reduce the time required to create high-quality blog content. What used to take hours can now be completed in minutes.
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### 2. Improved SEO Performance
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AI-powered tools can analyze search trends, identify optimal keywords, and ensure content is optimized for search engines.
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### 3. Enhanced Content Quality
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With AI assistance, writers can focus on strategy and creativity while AI handles the technical aspects of content creation.
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## Best Practices for AI Blog Writing
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1. **Start with Research**: Use AI tools to gather comprehensive information about your topic
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2. **Create Detailed Outlines**: Leverage AI to structure your content effectively
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3. **Optimize for SEO**: Use AI analysis to ensure your content ranks well
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4. **Review and Refine**: Always review AI-generated content before publishing
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## Conclusion
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AI-powered blog writing is transforming the content creation landscape. By leveraging these tools effectively, content creators can produce higher quality content more efficiently than ever before.
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The future of content creation is here, and it's powered by artificial intelligence.
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"""
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# Sample research data
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sample_research_data = {
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"keyword_analysis": {
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"primary": ["AI blog writing", "artificial intelligence content", "AI content creation"],
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"long_tail": ["AI-powered blog writing tools", "artificial intelligence content marketing", "AI blog writing software"],
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"semantic": ["content automation", "AI writing assistant", "automated content creation", "AI content optimization"],
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"all_keywords": ["AI blog writing", "artificial intelligence content", "AI content creation", "AI-powered blog writing tools", "artificial intelligence content marketing", "AI blog writing software", "content automation", "AI writing assistant", "automated content creation", "AI content optimization"],
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"search_intent": "informational"
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},
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"competitor_analysis": {
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"top_competitors": ["HubSpot", "Content Marketing Institute", "Copyblogger"],
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"content_gaps": ["AI-specific use cases", "ROI measurement", "implementation strategies"]
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},
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"content_angles": [
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"Beginner's guide to AI blog writing",
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"ROI of AI content creation tools",
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"AI vs human content creation comparison"
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]
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}
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print("🚀 Starting SEO Analysis Test")
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print("=" * 50)
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try:
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# Initialize the analyzer
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analyzer = BlogContentSEOAnalyzer()
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print("✅ SEO Analyzer initialized successfully")
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# Run the analysis
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print("\n📊 Running SEO analysis...")
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results = await analyzer.analyze_blog_content(sample_content, sample_research_data)
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# Display results
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print("\n📈 Analysis Results:")
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print("=" * 30)
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if 'error' in results:
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print(f"❌ Analysis failed: {results['error']}")
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return
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print(f"🎯 Overall Score: {results.get('overall_score', 0)}/100")
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print(f"📊 Overall Grade: {results.get('analysis_summary', {}).get('overall_grade', 'N/A')}")
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print(f"📝 Status: {results.get('analysis_summary', {}).get('status', 'N/A')}")
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print("\n📋 Category Scores:")
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category_scores = results.get('category_scores', {})
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for category, score in category_scores.items():
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print(f" • {category.capitalize()}: {score}/100")
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print("\n💡 Key Strengths:")
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strengths = results.get('analysis_summary', {}).get('key_strengths', [])
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for strength in strengths:
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print(f" ✅ {strength}")
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print("\n⚠️ Areas for Improvement:")
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weaknesses = results.get('analysis_summary', {}).get('key_weaknesses', [])
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for weakness in weaknesses:
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print(f" 🔧 {weakness}")
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print("\n📝 Actionable Recommendations:")
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recommendations = results.get('actionable_recommendations', [])
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for i, rec in enumerate(recommendations[:5], 1): # Show first 5 recommendations
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print(f" {i}. [{rec.get('category', 'N/A')}] {rec.get('recommendation', 'N/A')}")
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print("\n🎉 SEO Analysis completed successfully!")
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except Exception as e:
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print(f"❌ Test failed with error: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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asyncio.run(test_seo_analyzer())
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