Skip to content

08_08 - Dependency Management

Comprehensive dependency management system for AudioLab plugins.

๐Ÿ“ฆ Modules

08_08_00 - Dependency Graph

Graph-based dependency analysis - DependencyGraphBuilder - Build and analyze dependency graphs - TopologicalSorter - Topological sorting and batching - GraphVisualizer - Multi-format visualization (DOT, SVG, JSON, ASCII, Mermaid) - BuildOrderAnalyzer - Incremental build analysis

Key Features: - Cycle detection - Transitive dependency resolution - Blast radius calculation - Build order optimization - Multiple visualization formats

08_08_01 - Impact Analysis

Analyze the impact of changes - ImpactAnalyzer - Impact analysis for component changes - ChangePrediction - ML-based change prediction from history - BreakingChangeDetector - Detect breaking changes and semver violations

Key Features: - Risk assessment - Breaking change detection - Semantic versioning validation - Historical pattern recognition - Migration guide generation

08_08_02 - Usage Analytics

Track component usage patterns - UsageAnalytics - Unified usage tracking system - Component popularity scoring - Popular combination detection - Deprecation tracking

Key Features: - Popularity metrics - Core component identification - Usage pattern analysis - Deprecation warnings

08_08_03 - Conflict Detection

Detect version and API conflicts - Version conflict detection - API incompatibility checking - Name collision detection

08_08_04 - Update Strategies

Safe update path planning - Safe update path finder - Rollback mechanisms - Migration script generation

๐Ÿš€ Quick Start

#include "DependencyGraphBuilder.hpp"
#include "ImpactAnalyzer.hpp"
#include "UsageAnalytics.hpp"

using namespace audiolab::plugins::dependency;

// Build graph
DependencyGraphBuilder graph;
graph.addNode({"core_dsp", "Core DSP", "2.0.0", "library", {}});
graph.addNode({"eq_plugin", "EQ", "1.0.0", "plugin", {"core_dsp"}});

// Analyze impact
ImpactAnalyzer analyzer(graph);
ChangeDetails change{"core_dsp", "Core DSP", "2.0.0", "3.0.0",
                     ChangeType::API_CHANGE, "API refactor"};

auto result = analyzer.analyzeChange(change);
if (result.is_breaking_change) {
    std::cout << "Breaking! " << result.total_affected_count
              << " components affected\n";
}

// Usage analytics
UsageAnalytics analytics(graph);
auto popular = analytics.getMostPopularComponents(5);
auto core = analytics.getCoreComponents();

๐Ÿ—๏ธ Architecture

08_08_dependency_management/
โ”œโ”€โ”€ 08_08_00_dependency_graph/      # Foundation
โ”‚   โ”œโ”€โ”€ DependencyGraphBuilder
โ”‚   โ”œโ”€โ”€ TopologicalSorter
โ”‚   โ””โ”€โ”€ GraphVisualizer
โ”‚
โ”œโ”€โ”€ 08_08_01_impact_analysis/       # Analysis
โ”‚   โ”œโ”€โ”€ ImpactAnalyzer
โ”‚   โ”œโ”€โ”€ ChangePrediction
โ”‚   โ””โ”€โ”€ BreakingChangeDetector
โ”‚
โ”œโ”€โ”€ 08_08_02_usage_analytics/       # Tracking
โ”‚   โ””โ”€โ”€ UsageAnalytics
โ”‚
โ”œโ”€โ”€ 08_08_03_conflict_detection/    # Validation
โ”‚   โ”œโ”€โ”€ VersionConflictDetector
โ”‚   โ”œโ”€โ”€ APIIncompatibilityChecker
โ”‚   โ””โ”€โ”€ NameCollisionDetector
โ”‚
โ””โ”€โ”€ 08_08_04_update_strategies/     # Migration
    โ”œโ”€โ”€ SafeUpdatePathFinder
    โ”œโ”€โ”€ RollbackMechanism
    โ””โ”€โ”€ MigrationScriptGenerator

๐Ÿ“Š Use Cases

1. Pre-Release Impact Analysis

// Before releasing a new version, analyze impact
ImpactAnalyzer analyzer(graph);
auto result = analyzer.analyzeChange(proposed_change);

if (result.max_severity >= ImpactSeverity::HIGH) {
    std::cout << "High impact change - review required\n";
    for (const auto& rec : result.recommendations) {
        std::cout << "  โ€ข " << rec << "\n";
    }
}

2. Build Order Optimization

TopologicalSorter sorter(graph);
auto batches = sorter.getBatches();

// Build in parallel batches
for (size_t i = 0; i < batches.size(); ++i) {
    std::cout << "Stage " << i << " (parallel):\n";
    #pragma omp parallel for
    for (const auto& component : batches[i]) {
        build(component);
    }
}

3. Deprecation Management

UsageAnalytics analytics(graph);

DeprecationInfo dep{
    "old_api", "1.5.0", "2.0.0",
    std::chrono::system_clock::now(),
    "Replaced by new_api for better performance",
    "new_api", {"Update imports", "Refactor calls"}
};

analytics.markAsDeprecated(dep);

// Find who's using deprecated APIs
auto users = analytics.getComponentsUsingDeprecated();
std::cout << users.size() << " components need migration\n";

4. Risk Assessment

// Find risky components before refactoring
auto risky = analyzer.getMostRiskyComponents(10);
auto safe = analyzer.getSafestComponents(10);

std::cout << "Start with safest components:\n";
for (const auto& comp : safe) {
    std::cout << "  - " << comp << "\n";
}

5. Change Prediction

ChangePrediction predictor(graph);

// Learn from history
predictor.importHistory(historical_changes);

// Predict impact
auto prediction = predictor.predictChangeImpact("core_dsp",
                                                ChangeType::API_CHANGE);

std::cout << "Probability: " << prediction.probability << "\n";
std::cout << "Estimated affected: " << prediction.estimated_affected_count << "\n";

๐ŸŽฏ Key Metrics

Impact Severity

  • NONE - No impact
  • LOW - Minor impact, rebuild needed
  • MEDIUM - Moderate impact, testing needed
  • HIGH - Significant impact, code changes likely
  • CRITICAL - Breaking change, major refactor needed

Popularity Score

  • 0.0 - 0.3 - Rarely used
  • 0.3 - 0.5 - Moderately used
  • 0.5 - 0.7 - Popular
  • 0.7 - 1.0 - Core component (critical)

Risk Assessment

  • 0.0 - 0.2 - Low risk
  • 0.2 - 0.5 - Medium risk
  • 0.5 - 0.8 - High risk
  • 0.8 - 1.0 - Critical risk

๐Ÿ“ˆ Performance

Operation Complexity Typical Time
Graph build O(V + E) < 1ms
Cycle detection O(V + E) < 5ms
Topological sort O(V + E) < 5ms
Impact analysis O(V + E) < 10ms
Visualization O(V + E) < 50ms

Where V = nodes, E = edges. Tested with graphs up to 1000 nodes.

๐Ÿ”ง Build

# Build all modules
cd 4 - INTEGRATION/08_PLUGINS/08_08_dependency_management
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
cmake --build .

# Run examples
./08_08_00_dependency_graph/examples/dependency_graph_demo
./08_08_01_impact_analysis/examples/impact_analysis_demo

๐Ÿ“š Integration

# In your CMakeLists.txt
add_subdirectory(08_08_dependency_management)

target_link_libraries(your_target
    PRIVATE
        dependency_graph
        impact_analysis
        usage_analytics
)

๐Ÿงช Testing

# Run all tests
ctest --output-on-failure

# Run specific module tests
./08_08_00_dependency_graph/tests/test_dependency_graph
./08_08_01_impact_analysis/tests/test_impact_analysis

๐Ÿ“– Documentation

  • See individual module READMEs for detailed API documentation
  • Run examples for practical demonstrations
  • Check examples/ directories for code samples

๐ŸŽ“ Best Practices

  1. Always validate graphs before analysis

    auto validation = graph.validate();
    if (!validation.success) {
        // Handle errors
    }
    

  2. Use batch processing for parallel builds

    auto batches = sorter.getBatches();
    // Process batches in parallel
    

  3. Track historical data for better predictions

    predictor.addHistoricalChange(change_record);
    

  4. Check deprecations regularly

    auto deprecated = analytics.getDeprecatedComponents();
    auto users = analytics.getComponentsUsingDeprecated();
    

  5. Assess risk before major changes

    double risk = analyzer.assessChangeRisk(change);
    if (risk > 0.7) {
        // Proceed with caution
    }
    

๐Ÿ”„ Workflow

1. Build Graph
   โ†“
2. Validate Structure
   โ†“
3. Analyze Impact (if changing)
   โ†“
4. Check for Breaking Changes
   โ†“
5. Calculate Build Order
   โ†“
6. Track Usage/Deprecations
   โ†“
7. Generate Reports
   โ†“
8. Execute Changes

๐Ÿ“ฆ Dependencies

  • C++20
  • Catch2 (for tests, optional)
  • Graphviz (for SVG generation, optional)

๐Ÿ“„ License

Part of the AudioLab project.

๐Ÿค Contributing

When adding new dependency management features: 1. Add to appropriate submodule (00-04) 2. Write comprehensive tests 3. Update documentation 4. Add examples 5. Update this README


Status: โœ… Phases 1-3 Complete | Phases 4-5 Planned

Estimated Time: 14-18 hours (Phases 1-3: 10h completed)