ade81beea2
Major enhancements to HKIA content analysis system: CRITICAL FIXES: • Fix engagement data parsing from markdown (Views/Likes/Comments now extracted correctly) • YouTube: 18.75% engagement rate working (16 views, 2 likes, 1 comment) • Instagram: 7.37% average engagement rate across 20 posts • High performer detection operational (1 YouTube + 20 Instagram above thresholds) CONTENT ANALYSIS SYSTEM: • Add Claude Haiku analyzer for HVAC content classification • Add engagement analyzer with source-specific algorithms • Add keyword extractor with 100+ HVAC-specific terms • Add intelligence aggregator for daily JSON reports • Add comprehensive unit test suite (73 tests, 90% coverage target) ARCHITECTURE: • Extend BaseScraper with optional AI analysis capabilities • Add content analysis orchestrator with CLI interface • Add competitive intelligence module structure • Maintain backward compatibility with existing scrapers INTELLIGENCE FEATURES: • Daily intelligence reports with strategic insights • Trending keyword analysis (813 refrigeration, 701 service mentions) • Content opportunity identification • Multi-source engagement benchmarking • HVAC-specific topic and product categorization PRODUCTION READY: • Claude Haiku API integration validated ($15-25/month estimated) • Graceful degradation when API unavailable • Comprehensive logging and error handling • State management for analytics tracking Ready for Phase 2: Competitive Intelligence Infrastructure 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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3.4 KiB
Markdown
74 lines
No EOL
3.4 KiB
Markdown
# Phase 1 Critical Enhancements - August 28, 2025
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## 🔧 Critical Fixes Applied
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### 1. Engagement Data Parsing Fix
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**Problem**: Engagement statistics (views/likes/comments) showing as 0.0000 across all sources despite data being present in markdown files.
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**Root Cause**: Markdown parser wasn't handling inline field values like `## Views: 16`.
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**Solution**: Enhanced `_parse_content_item()` in `intelligence_aggregator.py` to:
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- Detect inline values with colon format (`## Views: 16`)
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- Extract and convert values directly to proper data types
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- Handle both inline and multi-line field formats
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**Results**:
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- ✅ **YouTube**: 18.75% engagement rate (16 views, 2 likes, 1 comment)
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- ✅ **Instagram**: 7.37% average engagement rate (20 posts analyzed)
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- ✅ **WordPress**: 0% engagement (expected - blog posts have minimal engagement data)
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### 2. Comprehensive Unit Test Suite
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**Added**: 73 comprehensive unit tests across 4 test files:
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- `test_engagement_analyzer.py`: 25 tests covering engagement calculations
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- `test_keyword_extractor.py`: 17 tests covering HVAC keyword taxonomy
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- `test_intelligence_aggregator.py`: 20 tests covering report generation
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- `test_claude_analyzer.py`: 11 tests covering Claude API integration
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**Coverage**: Approaching 90% test coverage with edge cases, error handling, and integration scenarios.
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### 3. Claude Haiku API Validation
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**Validated**: Full Claude Haiku integration with real API key
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- ✅ Content classification working correctly
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- ✅ Batch processing for cost efficiency
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- ✅ Error handling and fallback mechanisms
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- ✅ HVAC-specific taxonomy properly implemented
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## 📊 Current System Capabilities
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### Engagement Analysis (NOW WORKING)
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- **Source-specific algorithms**: YouTube, Instagram, WordPress each have tailored engagement calculations
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- **High performer detection**: Automated identification above platform-specific thresholds
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- **Trending content analysis**: Engagement velocity and virality scoring
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- **Real-time metrics**: Views, likes, comments properly extracted and analyzed
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### Intelligence Generation
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- **Daily reports**: JSON format with comprehensive analytics
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- **Strategic insights**: Content opportunities based on trending keywords
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- **Keyword analysis**: 813 refrigeration mentions, 701 service mentions detected
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- **Multi-source analysis**: 7 content sources analyzed simultaneously
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### Production Readiness
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- **Claude integration**: Cost-effective Haiku model with $15-25/month estimated cost
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- **Graceful degradation**: System works with or without API keys
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- **Comprehensive logging**: Full audit trail of analysis operations
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- **Error handling**: Robust error recovery and fallback mechanisms
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## 🚀 Impact on Phase 2
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**Enhanced Foundation for Competitive Intelligence:**
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- **Engagement benchmarking**: Now possible with real HKIA engagement data
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- **Performance comparison**: Ready for competitor engagement analysis
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- **Strategic positioning**: Data-driven insights for content strategy
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- **Technical reliability**: Proven parsing and analysis capabilities
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## 🏁 Status: Phase 1 COMPLETE + ENHANCED
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**All Phase 1 objectives achieved with critical enhancements:**
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1. ✅ Content analysis foundation established
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2. ✅ Engagement metrics fully operational
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3. ✅ Intelligence reporting system tested
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4. ✅ Claude Haiku integration validated
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5. ✅ Comprehensive test coverage implemented
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6. ✅ Production deployment ready
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**Ready for Phase 2: Competitive Intelligence Infrastructure** |