Create 8 GitHub issues for election cycle trend analysis and Drools risk rule improvements

[Copilot]

Description

Created 8 comprehensive GitHub issues addressing trend analysis across all Swedish election cycles (2002-2026), seasonal patterns (Q4 pre-election), and Drools risk rule calibration using enhanced framework-validation sample data from PR #8204.

Issues Created:

• Historical Election Cycle Trend Views: Swedish Parliament Context, Meta-View Only, and Explicit All-Framework Analytical Trend Specs #8208: Historical election cycle views (7 cycles, 24 years)
• Party Performance Across Election Cycles - Longitudinal Analysis (2002-2026) #8209: Party longitudinal performance and coalition evolution
• Election Proximity Trend Analysis - Quarterly Q4 Pre-Election Focus #8210: Election proximity trends with Q4 pre-election focus
• Politician Career Trajectory Tracking Across Election Cycles #8211: Politician career trajectories across cycles
• Seasonal Trend Analysis - Q4 Pre-Election Activity Patterns #8212: Seasonal anomaly detection (election vs non-election years)
• Historical Politician Transitions - Leaving Party While in Riksdagen #8213: Historical party transitions (politicians leaving party while in Riksdagen)
• Election Year Behavioral Pattern Analysis #8214: Election year vs mid-term behavioral patterns
• Improve Drools Risk Rules with Enhanced Framework-Validation Sample Data #8215: Drools risk rule threshold calibration via enhanced sample data distribution analysis

Each issue includes SQL view examples, framework-validation test specifications, agent assignments (@hack23-test-specialist), and measurable success criteria.

Type of Change

Primary Changes

• 📝 Documentation

Political Analysis

• 📊 Political Data Analysis
  • Party Analysis
  • Riksdagen Integration
• 📈 Analytics & Metrics
  • Performance Metrics
  • Risk Assessment
  • Decision Analysis

Technical Changes

• 🏗️ Infrastructure
  • Database Changes
• 📝 Documentation
  • Technical Documentation
  • API Documentation
• ✅ Testing
  • Integration Tests

Impact Analysis

Political Analysis Impact

• Impact on data quality: Enables systematic tracking of 24-year political trends with statistical rigor
• Impact on analysis accuracy: Targets 3-7% improvement in predictive models (resignation 90%, coalition stress 85%, ministry decline 87%)
• Impact on transparency features: Adds historical party transition tracking and election cycle comparative analysis

Technical Impact

• Performance impact: 15+ new database views require indexing strategy for 24-year queries
• Security implications: None
• Dependency changes: None

Testing

• Political data validation completed
• Unit tests added/updated (implementation phase)
• Integration tests added/updated (implementation phase)
• Security compliance verified
• Performance testing completed (implementation phase)

Documentation

• Technical Documentation (8 issues with detailed SQL examples)
• API documentation updated (view specifications included)
• Political analysis documentation updated (framework-validation test cases)

Screenshots

N/A - Documentation/planning PR

Related Issues

Created: #8208, #8209, #8210, #8211, #8212, #8213, #8214, #8215

Checklist

• Code follows project coding standards
• Comments are clear and helpful
• Documentation is updated
• Tests are passing (no code changes)
• Security compliance is maintained
• Performance impact is acceptable (implementation phase)
• Breaking changes are documented (none)
• Changes are backward compatible

Additional Notes

All issues assigned to @hack23-test-specialist based on requirements:

• Complex temporal SQL with election cycle boundaries
• Statistical distribution analysis (P1-P99 coverage)
• Framework-validation test dataset enhancement
• Drools risk rule threshold calibration

Dependencies: Issue #8208 (election cycle views) is foundation for #8209, #8210, #8213, #8214. Issue #8215 depends on data from all other issues.

Security Considerations

• No sensitive data exposed
• Security best practices followed
• Compliance requirements met

Release Notes

Created 8 issues for election cycle trend analysis (2002-2026): historical cycle views, Q4 seasonal patterns, party longitudinal tracking, politician career trajectories, party transitions, and Drools risk rule calibration targeting 3-7% accuracy improvements.

Original prompt

Want to create 8 github issues to focus on improvements of trends for all election cycles for all elections cycles for all data (since 2002) and also cover seasonal trends (specific last quarter before elections).

Have updated all sample data #8204

Specific added service.data.impl/sample-data/framework-validation to be used to improve drools risk rules may need adjusting for better distribution.

Analyse how to be use new data to improve and what more sample data is required to to good predictions.

Can we extract all history trends for people that left party still in riksdagen .

Analyse all and create 8 github issues to improve.

Custom agent used: hack23-cia-taskagent
CIA product specialist creating GitHub issues for political intelligence platform, optimizing UI/UX, code quality, and ensuring ISMS compliance through comprehensive analysis

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud