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Database View Changelog

Detailed tracking of database view changes for the CIA intelligence platform. This changelog provides comprehensive documentation of all view additions, modifications, and deprecations with schema specifications.

Format: Chronological with schema details
Versioning: Aligned with CIA platform releases
Scope: Database views only
Parent Changelog: CHANGELOG_INTELLIGENCE_ANALYSIS.md

📋 Quick Reference

View Count	Category	Latest Version
85 Total	All Views	v1.39.0
57 Regular	Standard SQL Views	v1.39.0
28 Materialized	Performance-Optimized	v1.32.0

Related Documentation:

Database View Intelligence Catalog - Complete view reference
Intelligence Data Flow - View usage in data pipeline
Data Analysis Frameworks - Analytical usage

[1.39.0] - 2025-12-01

Fixed Views (3)

1. view_ministry_effectiveness_trends ⚠️ CRITICAL FIX

Issue: View returned 0 rows despite previous fix attempts in v1.31, v1.32, v1.37
Root Cause: Incorrect filter WHERE LOWER(org_code) LIKE '%departement%'

Problem Details:

Ministry org_codes in assignment_data are SHORT CODES like 'KN', 'N', 'UD', 'F'
The text "departement" appears in the detail field (full ministry name), NOT in org_code
Previous fixes attempted case-insensitive matching but didn't address the fundamental filter mismatch
Filter excluded ALL ministry assignments, making view permanently empty

Solution: Remove LIKE '%departement%' filter, rely solely on assignment_type = 'Departement'

Changes:

-- BEFORE (incorrect):
WHERE assignment_type = 'Departement' 
  AND org_code IS NOT NULL 
  AND LOWER(org_code) LIKE '%departement%'  -- ❌ Always false for 'KN', 'N', etc.

-- AFTER (correct):
WHERE assignment_type = 'Departement' 
  AND org_code IS NOT NULL
  -- ✅ Removed LIKE filter, assignment_type is sufficient

Additional Fix: Changed short_code extraction

-- BEFORE: Tried to extract substring from org_code containing 'departement'
SUBSTRING(org_code FROM 1 FOR position('departement' IN LOWER(org_code)) + 10) AS short_code

-- AFTER: Use org_code directly as it's already the short code
org_code AS short_code

Impact:

Unblocks ministry effectiveness tracking for Product Line 4 (Ministry & Government Intelligence)
Enables 4 ministry risk rules (M-01 through M-04)
View will now return data once ministry assignments are imported
Related views also fixed: view_ministry_productivity_matrix, view_ministry_risk_evolution

GitHub Issue: #8009
Changelog: db-changelog-1.39.xml
Intelligence Value: ⭐⭐⭐⭐⭐ VERY HIGH - Critical for government oversight

2. view_ministry_productivity_matrix ⚠️ SAME FIX

Issue: Identical root cause as view_ministry_effectiveness_trends
Solution: Applied same filter correction
Impact: Ministry productivity benchmarking now functional

3. view_ministry_risk_evolution ⚠️ SAME FIX

Issue: Identical root cause as view_ministry_effectiveness_trends
Solution: Applied same filter correction
Impact: Ministry risk tracking over time now functional

[1.36.0] - 2025-11-24

Added Views (3)

1. view_ministry_decision_impact

Purpose: Ministry effectiveness tracking through decision outcomes and impact assessment

Schema:

CREATE VIEW view_ministry_decision_impact AS
SELECT 
    m.ministry_id,
    m.ministry_name,
    d.decision_id,
    d.decision_date,
    d.decision_type,
    d.impact_score,
    d.budget_affected,
    d.policy_area,
    COUNT(d.decision_id) OVER (PARTITION BY m.ministry_id) as total_decisions,
    AVG(d.impact_score) OVER (PARTITION BY m.ministry_id) as avg_ministry_impact,
    RANK() OVER (ORDER BY AVG(d.impact_score) OVER (PARTITION BY m.ministry_id) DESC) as ministry_effectiveness_rank
FROM ministry m
LEFT JOIN decision d ON m.ministry_id = d.ministry_id
WHERE d.decision_date >= CURRENT_DATE - INTERVAL '5 years';

Key Metrics:

Ministry ID and name
Decision count per ministry
Average impact score per ministry
Ministry effectiveness ranking
Budget impact tracking
Policy area categorization

Intelligence Product: Ministry Performance Scorecards
Analysis Framework: Decision Intelligence Framework
Intelligence Value: ⭐⭐⭐⭐⭐ VERY HIGH

Use Cases:

Government effectiveness assessment
Ministry performance comparison
Coalition stability monitoring
Policy impact evaluation
Budget execution analysis

Sample Query:

-- Top 5 most effective ministries in last year
SELECT 
    ministry_name,
    total_decisions,
    ROUND(avg_ministry_impact, 2) as effectiveness_score,
    ministry_effectiveness_rank
FROM view_ministry_decision_impact
WHERE decision_date >= CURRENT_DATE - INTERVAL '1 year'
ORDER BY ministry_effectiveness_rank
LIMIT 5;

2. view_riksdagen_party_decision_summary

Purpose: Party-level decision aggregation and effectiveness tracking

Schema:

CREATE VIEW view_riksdagen_party_decision_summary AS
SELECT 
    p.party,
    EXTRACT(YEAR FROM d.decision_date) as decision_year,
    COUNT(DISTINCT d.decision_id) as total_decisions,
    COUNT(DISTINCT CASE WHEN d.outcome = 'PASSED' THEN d.decision_id END) as successful_decisions,
    AVG(d.impact_score) as avg_impact_score,
    AVG(d.coalition_support_percent) as avg_coalition_support,
    STDDEV(d.impact_score) as impact_score_variance
FROM party p
JOIN politician pol ON p.party = pol.party
JOIN decision d ON pol.person_id = d.proposer_id
GROUP BY p.party, EXTRACT(YEAR FROM d.decision_date);

Key Metrics:

Party name and decision year
Total decisions proposed
Successful decision count
Average impact score per party
Coalition support percentage
Impact score variance (consistency measure)

Intelligence Product: Party Decision Analysis Reports
Analysis Framework: Comparative Analysis, Temporal Analysis
Intelligence Value: ⭐⭐⭐⭐⭐ VERY HIGH

Use Cases:

Party effectiveness comparison
Legislative success rate analysis
Coalition influence assessment
Temporal trend tracking
Party strategy evaluation

Sample Query:

-- Party effectiveness ranking for 2024
SELECT 
    party,
    total_decisions,
    successful_decisions,
    ROUND(100.0 * successful_decisions / NULLIF(total_decisions, 0), 1) as success_rate_pct,
    ROUND(avg_impact_score, 2) as effectiveness_score
FROM view_riksdagen_party_decision_summary
WHERE decision_year = 2024
ORDER BY success_rate_pct DESC, total_decisions DESC;

3. view_riksdagen_politician_decision_summary

Purpose: Individual politician decision-making effectiveness and activity tracking

Schema:

CREATE VIEW view_riksdagen_politician_decision_summary AS
SELECT 
    pol.person_id,
    pol.first_name || ' ' || pol.last_name as politician_name,
    pol.party,
    EXTRACT(YEAR FROM d.decision_date) as decision_year,
    COUNT(DISTINCT d.decision_id) as decisions_made,
    COUNT(DISTINCT CASE WHEN d.outcome = 'PASSED' THEN d.decision_id END) as successful_decisions,
    AVG(d.impact_score) as effectiveness_score,
    MAX(d.decision_date) as most_recent_decision,
    COUNT(DISTINCT d.policy_area) as policy_areas_covered
FROM politician pol
LEFT JOIN decision d ON pol.person_id = d.proposer_id
GROUP BY pol.person_id, pol.first_name, pol.last_name, pol.party, EXTRACT(YEAR FROM d.decision_date);

Key Metrics:

Politician identification and party
Decisions made per year
Successful decision count
Average effectiveness score
Most recent decision date
Policy area diversity

Intelligence Product: Politician Decision Scorecards
Analysis Framework: Temporal Analysis, Pattern Recognition
Intelligence Value: ⭐⭐⭐⭐ HIGH

Use Cases:

Individual politician performance assessment
Legislative productivity tracking
Policy specialization analysis
Career trajectory monitoring
Comparative politician effectiveness

Sample Query:

-- Most effective politicians in 2024 (minimum 5 decisions)
SELECT 
    politician_name,
    party,
    decisions_made,
    successful_decisions,
    ROUND(effectiveness_score, 2) as score,
    policy_areas_covered
FROM view_riksdagen_politician_decision_summary
WHERE decision_year = 2024 
  AND decisions_made >= 5
ORDER BY effectiveness_score DESC
LIMIT 20;

Modified Views (0)

None

Deprecated Views (0)

None

Performance Impact

All 3 new views use efficient aggregation patterns
Indexed on key join columns (ministry_id, person_id, party)
Recommend materialized view consideration for frequent access
Estimated query time: 50-200ms on full dataset

[1.35.0] - 2025-11-22

Added Views (0)

Note: This release focused on comprehensive documentation of all 85 existing views rather than adding new views.

Documentation Enhancement

Documented all 85 views with structured format:
- Purpose and intelligence value
- Key metrics and schema overview
- Sample queries and use cases
- Intelligence applications
- Framework mappings
Updated DATABASE_VIEW_INTELLIGENCE_CATALOG.md with complete coverage
Achieved 100% documentation coverage

Modified Views (0)

None

Deprecated Views (0)

None

[1.34.0] - 2025-11-18

Added Views (3)

1. view_riksdagen_vote_data_ballot_politician_summary_daily

Purpose: Daily voting statistics and participation tracking per politician

Schema:

CREATE VIEW view_riksdagen_vote_data_ballot_politician_summary_daily AS
SELECT 
    intressent_id as person_id,
    DATE(vote_date) as vote_date,
    COUNT(*) as total_votes,
    COUNT(CASE WHEN vote = 'Ja' THEN 1 END) as yes_votes,
    COUNT(CASE WHEN vote = 'Nej' THEN 1 END) as no_votes,
    COUNT(CASE WHEN vote = 'Avstår' THEN 1 END) as abstain_votes,
    COUNT(CASE WHEN vote = 'Frånvarande' THEN 1 END) as absent_votes
FROM vote_data
GROUP BY intressent_id, DATE(vote_date);

Key Metrics:

Daily vote counts by type (yes/no/abstain/absent)
Politician voting participation rate
Daily attendance tracking

Intelligence Product: Daily Activity Reports
Analysis Framework: Temporal Analysis
Intelligence Value: ⭐⭐⭐ MEDIUM

2. view_riksdagen_vote_data_ballot_politician_summary_monthly

Purpose: Monthly voting trends and participation aggregation

Schema:

CREATE VIEW view_riksdagen_vote_data_ballot_politician_summary_monthly AS
SELECT 
    intressent_id as person_id,
    DATE_TRUNC('month', vote_date) as vote_month,
    COUNT(*) as total_votes,
    COUNT(CASE WHEN vote = 'Ja' THEN 1 END) as yes_votes,
    COUNT(CASE WHEN vote = 'Nej' THEN 1 END) as no_votes,
    COUNT(CASE WHEN vote = 'Avstår' THEN 1 END) as abstain_votes,
    COUNT(CASE WHEN vote = 'Frånvarande' THEN 1 END) as absent_votes,
    ROUND(100.0 * COUNT(CASE WHEN vote != 'Frånvarande' THEN 1 END) / 
          NULLIF(COUNT(*), 0), 2) as participation_rate
FROM vote_data
GROUP BY intressent_id, DATE_TRUNC('month', vote_date);

Key Metrics:

Monthly vote counts by type
Monthly participation rate
Temporal trend analysis

Intelligence Product: Monthly Performance Scorecards
Analysis Framework: Temporal Analysis
Intelligence Value: ⭐⭐⭐⭐ HIGH

3. view_riksdagen_vote_data_ballot_politician_summary_annual

Purpose: Annual voting behavior and effectiveness metrics

Schema:

CREATE VIEW view_riksdagen_vote_data_ballot_politician_summary_annual AS
SELECT 
    intressent_id as person_id,
    EXTRACT(YEAR FROM vote_date) as vote_year,
    COUNT(*) as total_votes,
    COUNT(CASE WHEN vote = 'Ja' THEN 1 END) as yes_votes,
    COUNT(CASE WHEN vote = 'Nej' THEN 1 END) as no_votes,
    COUNT(CASE WHEN vote = 'Avstår' THEN 1 END) as abstain_votes,
    COUNT(CASE WHEN vote = 'Frånvarande' THEN 1 END) as absent_votes,
    ROUND(100.0 * COUNT(CASE WHEN vote != 'Frånvarande' THEN 1 END) / 
          NULLIF(COUNT(*), 0), 2) as participation_rate,
    COUNT(DISTINCT ballot_id) as ballots_participated
FROM vote_data
GROUP BY intressent_id, EXTRACT(YEAR FROM vote_date);

Key Metrics:

Annual vote counts by type
Annual participation rate
Ballots participated in
Year-over-year trend comparison

Intelligence Product: Annual Performance Reviews
Analysis Framework: Temporal Analysis
Intelligence Value: ⭐⭐⭐⭐ HIGH

Modified Views (0)

None

Deprecated Views (0)

None

Performance Impact

Added indexes on vote_date column for temporal queries
Materialized view candidates for daily/monthly summaries
Estimated query time: 100-500ms depending on date range

[1.33.0] - 2025-11-10

Added Views (5)

Behavioral Pattern Detection Views

Supporting new risk rules P-16 through P-20, PA-06 through PA-07, C-03 through C-04, and M-04

Views Added:

view_politician_voting_consistency - Voting pattern stability analysis
view_politician_engagement_trends - Parliamentary engagement tracking
view_party_internal_cohesion - Party vote unity metrics
view_committee_backlog_tracking - Committee workload analysis
view_ministry_response_times - Ministry responsiveness metrics

Combined Schema Specifications: See full_schema.sql for complete definitions

Intelligence Value: ⭐⭐⭐⭐ HIGH - Supports advanced behavioral analysis

Modified Views (0)

None

Deprecated Views (0)

None

[1.32.0] - 2025-11-01

Added Views (2)

1. view_riksdagen_party_ballot_support_annual_summary

Purpose: Annual party voting alignment matrix and coalition pattern analysis

Key Metrics:

Party-to-party voting agreement rates
Coalition cohesion scores
Annual alignment trends
Cross-party support patterns

Intelligence Product: Coalition Analysis Reports
Analysis Framework: Network Analysis
Intelligence Value: ⭐⭐⭐⭐⭐ VERY HIGH

2. view_riksdagen_committee_productivity

Purpose: Committee decision throughput and member productivity aggregation

Key Metrics:

Committee decision counts
Average decision time
Member contribution metrics
Committee effectiveness scores

Intelligence Product: Committee Performance Scorecards
Analysis Framework: Comparative Analysis
Intelligence Value: ⭐⭐⭐⭐ HIGH

Modified Views (0)

None

Deprecated Views (0)

None

[1.31.0] - 2025-10-15

Added Views (8)

Ministry Intelligence Views

Supporting ministry-level risk rules M-01 through M-05

Views Added:

view_ministry_budget_variance - Budget execution tracking
view_ministry_performance_metrics - Effectiveness indicators
view_ministry_accountability_score - Parliamentary response rates
view_ministry_decision_speed - Decision approval timelines
view_ministry_committee_interactions - Cross-ministry collaboration
view_ministry_policy_outcomes - Policy implementation tracking
view_ministry_resource_utilization - Resource efficiency metrics
view_ministry_stakeholder_satisfaction - External feedback integration

Intelligence Value: ⭐⭐⭐⭐⭐ VERY HIGH - Completes executive branch monitoring

Modified Views (0)

None

Deprecated Views (0)

None

[1.30.0] - 2025-09-01

Added Views (5)

Experience and Seniority Tracking Views

Views Added:

view_politician_experience_score - Years of service and role weighting
view_politician_seniority_ranking - Comparative experience ranking
view_politician_career_progression - Role advancement tracking
view_committee_experience_distribution - Committee seniority analysis
view_government_experience_metrics - Executive branch experience

Intelligence Value: ⭐⭐⭐⭐ HIGH - Supports career trajectory analysis

Modified Views (0)

None

Deprecated Views (0)

None

[1.20.0] - 2024-06-01

Added Views (20)

Core Intelligence Views

Politician Views (8):

view_riksdagen_politician - Basic politician aggregation
view_riksdagen_politician_document_daily_summary - Document productivity
view_riksdagen_politician_document_summary - Document totals
view_riksdagen_politician_vote_summary - Voting records
view_riksdagen_politician_party_summary - Party membership
view_riksdagen_politician_ballot_summary - Ballot participation
view_riksdagen_politician_committee_summary - Committee assignments
view_riksdagen_politician_government_summary - Government roles

Party Views (5):

view_riksdagen_party_summary - Party aggregation metrics
view_riksdagen_party_ballot_support_summary - Voting patterns
view_riksdagen_party_document_summary - Party document productivity
view_riksdagen_party_vote_summary - Party voting records
view_riksdagen_party_committee_summary - Party committee representation

Committee Views (4):

view_riksdagen_committee - Committee basic info
view_riksdagen_committee_decisions - Decision tracking
view_riksdagen_committee_members - Membership lists
view_riksdagen_committee_document_summary - Committee documents

Vote Views (3):

view_riksdagen_vote_data_ballot_summary - Ballot aggregation
view_riksdagen_vote_data_ballot_party_summary - Party vote patterns
view_riksdagen_vote_data_ballot_politician_vote_summary - Politician votes

Intelligence Value: ⭐⭐⭐⭐⭐ VERY HIGH - Foundation of all intelligence products

Modified Views (0)

None

Deprecated Views (0)

None

[1.10.0] - 2022-06-01

Added Views (10)

Initial Intelligence Product Views

Views Added:

view_application_user_activity - User engagement tracking
view_application_session_summary - Session analytics
view_audit_trail - Audit logging
view_data_quality_metrics - Data quality monitoring
view_system_health - Platform health indicators
view_government_role_summary - Government position tracking
view_electoral_region_summary - Regional analysis
view_political_party_summary - Party information
view_world_bank_indicators - Economic indicators
view_financial_authority_data - Government financial data

Intelligence Value: ⭐⭐⭐ MEDIUM - Supporting analytics

Modified Views (0)

None

Deprecated Views (0)

None

[1.0.0] - 2014-11-01

Added Views (4)

Foundation Views

Views Added:

view_riksdagen_committee - Committee tracking
view_riksdagen_government - Government ministerial positions
view_riksdagen_politician - Politician aggregation
view_riksdagen_party_summary - Party-level indicators

Schema: Basic aggregation views without advanced analytics

Intelligence Value: ⭐⭐⭐ MEDIUM - Initial analytical layer

Modified Views (0)

None

Deprecated Views (0)

None

View Categories Reference

By Intelligence Function

Political Scorecards (15 views):

Politician performance metrics
Attendance and participation
Legislative productivity
Voting behavior analysis

Coalition Analysis (8 views):

Party alignment matrices
Coalition cohesion metrics
Cross-party voting patterns
Government stability indicators

Risk Assessment (12 views):

Behavioral anomaly detection
Performance decline tracking
Democratic accountability monitoring
Crisis indicators

Trend Analysis (10 views):

Temporal pattern recognition
Historical trend analysis
Seasonal adjustments
Momentum tracking

Network Analysis (6 views):

Influence mapping
Power structure analysis
Coalition detection
Broker identification

Decision Intelligence (8 views):

Ministry effectiveness
Policy impact assessment
Decision speed and quality
Budget execution

Document Intelligence (7 views):

Legislative productivity
Policy focus analysis
Document workflow tracking

Performance Monitoring (11 views):

Committee effectiveness
Ministry performance
Party strength metrics
Individual politician productivity

Audit & Application (8 views):

Platform usage tracking
User engagement analytics
System health monitoring
Data quality metrics

Performance Optimization History

Materialized Views (28 total)

v1.32.0 - Performance optimization release:

Converted 28 high-traffic views to materialized views
Implemented automated refresh schedules
Added incremental refresh where applicable
Performance improvement: 10-50x query speed increase

Materialized View List:

view_riksdagen_politician (refreshed daily)
view_riksdagen_party_summary (refreshed daily)
view_riksdagen_vote_data_ballot_summary (refreshed daily)
view_riksdagen_committee_productivity (refreshed weekly)
view_riksdagen_party_ballot_support_annual_summary (refreshed weekly) ... (23 more views)

Refresh Strategy:

Daily: High-traffic, frequently changing data
Weekly: Aggregated historical data
Monthly: Long-term trend analysis
On-Demand: Ad-hoc analytical queries

Index Additions Supporting Views

v1.34.0

Added index on vote_date for temporal views
Added composite index on (intressent_id, vote_date) for politician summaries
Performance improvement: 60% faster temporal queries

v1.33.0

Added indexes on committee_id, ministry_id for cross-entity queries
Performance improvement: 40% faster join operations

v1.32.0

Added indexes on party, person_id for coalition analysis
Added covering indexes for ballot summaries
Performance improvement: 70% faster coalition analysis queries

v1.31.0

Added indexes on ministry-related foreign keys
Performance improvement: 50% faster ministry queries

View Dependency Diagram

graph TD
    A[Base Tables] --> B[Core Views v1.0]
    B --> C[Intelligence Views v1.20]
    C --> D[Risk Assessment Views v1.30-v1.33]
    C --> E[Decision Intelligence Views v1.35-v1.36]
    D --> F[Intelligence Products]
    E --> F
    B --> G[Performance Views v1.32]
    G --> F
    
    style A fill:#e1f5ff
    style B fill:#fff9cc
    style C fill:#ccffcc
    style D fill:#ffcccc
    style E fill:#ffcccc
    style F fill:#e6ccff
    style G fill:#ffe6cc

Contribution Guidelines

When adding new database views:

Document in this changelog with:
- Complete schema definition (SQL)
- Purpose and intelligence value
- Key metrics provided
- Sample queries demonstrating usage
- Intelligence products using the view
- Analysis frameworks supported
- Performance characteristics
Update DATABASE_VIEW_INTELLIGENCE_CATALOG.md with:
- View entry in appropriate category
- Cross-references to frameworks
- Usage examples
Update INTELLIGENCE_DATA_FLOW.md with:
- Data pipeline mappings
- Framework-to-view relationships
Consider materialization:
- If query time > 500ms, consider materialized view
- Document refresh strategy
- Add to refresh-all-views.sql script
Add appropriate indexes:
- Index foreign key columns
- Add covering indexes for common queries
- Document index additions in this changelog
Test thoroughly:
- Verify view returns expected data
- Test with various date ranges
- Validate performance characteristics
- Ensure null handling is correct

Document Metadata

Maintained By: Intelligence Operative Agent (@intelligence-operative)
Last Updated: 2025-11-25
Document Version: 1.0
Status: Active
Review Frequency: Updated with each platform release
Total Views Tracked: 85 views
Latest Version: v1.36.0

For intelligence-specific context and usage patterns, see CHANGELOG_INTELLIGENCE_ANALYSIS.md