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PLAN DE DESARROLLO COMPLETO - 05_00_CATALOG_REGISTRY

MARCO TEÓRICO-PRÁCTICO

Conceptos Fundamentales

  • Sistema Nervioso Informacional: Catálogo centralizado como fuente única de verdad
  • DAG (Directed Acyclic Graph): Modelo de dependencias sin ciclos
  • Semver: Versionado semántico (major.minor.patch)
  • Source of Truth Dual: Manifests YAML + SQLite database regenerable
  • Inferencia de Compatibilidad: Deducción automática desde reglas semver
  • Taxonomía Jerárquica: Clasificación multi-nivel mutuamente exclusiva

Algoritmos Específicos

  • DFS con Colores (blanco/gris/negro): Detección de ciclos en grafos
  • Topological Sort: Ordenamiento para compilación respetando dependencias
  • Transitive Closure: Cálculo de dependencias recursivas completas
  • Full-Text Search: Indexación invertida con case-insensitive, typo-tolerant
  • Composite Indexing: Índices multi-dimensionales para queries complejas

Patterns Arquitectónicos

  • Repository Pattern: Abstracción de acceso a datos
  • Materialized Views: Pre-computación de agregaciones frecuentes
  • Cache-Aside Pattern: Cache layer opcional con invalidación automática
  • Schema Validation: Validación estricta contra JSON Schema
  • Idempotent Operations: Operaciones repetibles sin efectos secundarios

Métricas de Calidad

  • Query performance: <100ms (99%), <50ms (Fase 2)
  • Test coverage: >90%
  • API uptime: >99.9%
  • Developer satisfaction: >90%
  • Search precision: >95% en top-10
  • Auto-indexer reliability: <0.1% fallas

PRIORIZACIÓN Y DEPENDENCIAS

Orden de Ejecución (Basado en Dependencias Técnicas)

TIER 1 - Foundation (Sin dependencias): - TAREA 4: manifest_system (define el contrato de datos) - TAREA 8: taxonomy_system (define estructura clasificatoria)

TIER 2 - Core Infrastructure (Depende de T4, T8): - TAREA 1: core_database (necesita schema de manifests + taxonomía) - TAREA 12: validation_engine (necesita schema de manifests)

TIER 3 - Operational Systems (Depende de T1): - TAREA 3: dependency_tracker (necesita database core) - TAREA 7: performance_db (necesita database core) - TAREA 9: changelog_system (necesita database core) - TAREA 10: license_registry (necesita database core) - TAREA 11: deprecation_manager (necesita database core)

TIER 4 - Intelligence Layer (Depende de T1, T3): - TAREA 2: search_engine (necesita database + dependency tracker) - TAREA 4: version_matrix (necesita database + dependency tracker)

TIER 5 - Automation (Depende de todas anteriores): - TAREA 5: auto_indexer (necesita todo el stack funcionando)

TIER 6 - External Interfaces (Depende de T2, T5): - TAREA 6: query_apis (necesita search engine + auto-indexer)

TIER 7 - Integration & Finalization: - TAREA FINAL-A: Integration Testing - TAREA FINAL-B: System Integration - TAREA FINAL-C: Documentation Package

TAREAS DETALLADAS

TAREA 1: Core Database - El Cerebro Central

Carpeta: 05_00_00_core_database Criticidad: ⭐⭐⭐⭐⭐ (Máxima) Prioridad: TIER 2

DESARROLLO:

  1. Core Implementation
  2. SQLite database schema con tablas normalizadas:
    • modules (UUID, name, version, level, category, subcategory, created_at, modified_at, author)
    • performance_metrics (module_id, cpu_cycles, memory_bytes, latency_samples, thread_safe, realtime_safe)
    • dependencies (module_id, required_module_id, version_constraint)
    • tags (module_id, tag_name)
    • file_locations (module_id, source_path, header_path, manifest_path)
    • documentation (module_id, brief, detailed_markdown, examples)
    • licensing (module_id, license_type, copyright_holder, third_party_attributions)
  3. ORM layer (SQLAlchemy sugerido para Python)
  4. Database migration system (Alembic)
  5. ACID transaction wrappers
  6. Connection pooling para concurrencia
  7. Database backup/restore utilities

  8. Rebuild from manifests functionality

  9. Testing Framework

  10. Unit tests: Schema creation, CRUD operations, transactions
  11. Integration tests: Multi-table joins, foreign key constraints
  12. Performance tests: Benchmark insert/query/update operations
  13. Stress tests: 1000+ concurrent connections
  14. Data integrity tests: Referential integrity validation
  15. Migration tests: Schema evolution scenarios

  16. Test coverage >95%

  17. Documentación

  18. Schema diagram (ER diagram completo)
  19. Table documentation (cada campo documentado)
  20. SQL query examples (queries comunes)
  21. Migration guide (cómo evolucionar schema)
  22. Backup/restore procedures

  23. Performance tuning guide

  24. Interfaces y Conexiones

  25. Python database interface (Registry.db)
  26. Transaction context managers
  27. Query builder fluent API
  28. Event emitters para cambios (insert/update/delete hooks)
  29. Database health check endpoint

ENTREGABLES: - [ ] SQLite database con schema completo - [ ] Suite de tests >95% coverage - [ ] ER diagram y documentación - [ ] Migration system funcional - [ ] Rebuild from manifests script

ESTIMACIÓN: 2 semanas

TAREA 2: Search Engine - El Buscador Inteligente

Carpeta: 05_00_01_search_engine Criticidad: ⭐⭐⭐⭐ (Alta) Prioridad: TIER 4

DESARROLLO:

  1. Core Implementation
  2. Índices multi-dimensionales:
    • B-tree index en cpu_cycles para range queries
    • Full-text search index en tags usando FTS5
    • Composite index (level, category, cpu_cycles)
    • Hash index en UUID para lookups exactos
  3. Query parser con sintaxis expresiva:
    • Boolean operators: AND, OR, NOT
    • Range queries: cpu_cycles:[50..100]
    • Wildcard matching: tag:analog*
    • Exact matches: name:"svf_filter"
  4. Result ranking algorithm (TF-IDF para relevancia)
  5. Materialized views para agregaciones:
    • category_stats (count, avg_cpu, avg_memory por categoría)
    • popular_modules (módulos más dependidos)
  6. Cache layer opcional (Redis):
    • TTL-based caching para queries frecuentes
    • Invalidación automática en DB updates
  7. Query optimizer con explain plan analysis

  8. Pagination system (cursor-based para estabilidad)

  9. Testing Framework

  10. Unit tests: Cada tipo de query (boolean, range, wildcard)
  11. Fuzzy matching tests (typo tolerance)
  12. Performance tests: Query latency <100ms con 500+ módulos
  13. Precision/recall tests: >95% precision en top-10
  14. Index effectiveness tests: Verify index usage
  15. Cache hit ratio tests: >80% hit rate para queries comunes

  16. Load tests: 100 concurrent queries

  17. Documentación

  18. Query syntax reference completa
  19. Index strategy explanation
  20. Performance tuning guide
  21. Examples: 20+ query examples comunes
  22. Cache configuration guide

  23. Troubleshooting common issues

  24. Interfaces y Conexiones

  25. Registry.search() fluent API
  26. QueryBuilder class con chainable methods
  27. SearchResult class con metadata (total, page, execution_time)
  28. Webhook notifications para saved searches
  29. Export to JSON/CSV functionality

ENTREGABLES: - [ ] Search engine con índices optimizados - [ ] Query performance <100ms (99%) - [ ] Tests >90% coverage - [ ] Query syntax documentation - [ ] Cache layer implementado

ESTIMACIÓN: 2 semanas

TAREA 3: Dependency Tracker - El Guardián de Relaciones

Carpeta: 05_00_02_dependency_tracker Criticidad: ⭐⭐⭐⭐⭐ (Máxima) Prioridad: TIER 3

DESARROLLO:

  1. Core Implementation
  2. Grafo dirigido en memoria (NetworkX sugerido):
    • Nodos: Module UUID
    • Aristas: Dependency edges con version constraints
  3. Algoritmos de grafos:
    • Cycle detection: DFS con colores (WHITE/GRAY/BLACK)
    • Topological sort: Kahn's algorithm
    • Transitive closure: Floyd-Warshall adaptado
    • Reverse dependencies: Graph traversal invertido
    • Shortest path: Para encontrar cadena de dependencias
  4. Validaciones obligatorias:
    • No-cycles enforcement: Falla antes de add_edge
    • Hierarchy validation: L0→L1→L2→L3 estrictamente
    • Version compatibility: Semver constraint parsing
    • No orphans: Validar que dependencias existen
  5. Graph serialization (GraphML, JSON)
  6. Incremental updates (no rebuild completo)

  7. Graph visualization export (Graphviz DOT format)

  8. Testing Framework

  9. Unit tests: Add/remove dependencies, cycle detection
  10. Hierarchy validation tests: Intentar violar L0-L3 rules
  11. Performance tests: Topological sort con 1000+ nodos
  12. Correctness tests: Verify transitive closure accuracy
  13. Edge cases: Self-loops, disconnected components
  14. Regression tests: Known problematic graphs

  15. Test coverage >95%

  16. Documentación

  17. Graph model explanation con diagramas
  18. Validation rules reference
  19. Algorithm complexity analysis (O notation)
  20. Visual examples de dependency chains
  21. Troubleshooting cycle errors

  22. Best practices para módulos

  23. Interfaces y Conexiones

  24. DependencyGraph.add_dependency(from, to, constraint)
  25. DependencyGraph.get_all_dependencies(module_id, recursive=True)
  26. DependencyGraph.get_reverse_dependencies(module_id)
  27. DependencyGraph.validate() → List[ValidationError]
  28. Event emitters: on_cycle_detected, on_hierarchy_violation
  29. Export to visualization formats

ENTREGABLES: - [ ] Dependency graph con algoritmos completos - [ ] Cycle detection funcionando - [ ] Hierarchy validation enforcement - [ ] Tests >95% coverage - [ ] Visualization export capability

ESTIMACIÓN: 2 semanas

TAREA 4: Manifest System - Los Pasaportes Digitales

Carpeta: 05_00_04_manifest_system Criticidad: ⭐⭐⭐⭐⭐ (Máxima) Prioridad: TIER 1 (Foundation)

DESARROLLO:

  1. Core Implementation
  2. JSON Schema definition completo:
    • Required fields: id, name, version, level, category
    • Optional fields: subcategory, tags, performance, dependencies
    • Nested schemas para secciones complejas
    • Enum validation para level, category
  3. YAML parser con validación (PyYAML + jsonschema)
  4. Manifest template generator
  5. Schema versioning system (manifest_schema_version: "1.0")
  6. Auto-upgrade tool para manifests antiguos
  7. Manifest linter con sugerencias
  8. UUID generator automático

  9. Semver validation library integration

  10. Testing Framework

  11. Schema validation tests: Valid/invalid manifests
  12. Edge case tests: Missing fields, wrong types
  13. Upgrade tests: Old schema → new schema
  14. Round-trip tests: YAML → Object → YAML
  15. Linter tests: Verify suggestions correctas
  16. Template generation tests

  17. Test coverage >90%

  18. Documentación

  19. Manifest specification completa (every field explained)
  20. JSON Schema documentation
  21. Template examples para cada module level
  22. Best practices guide
  23. Migration guide para schema changes

  24. Common errors troubleshooting

  25. Interfaces y Conexiones

  26. Manifest.load(path) → Manifest object
  27. Manifest.validate() → ValidationResult
  28. Manifest.save(path) con pretty-printing
  29. ManifestGenerator.create_template(level, category)
  30. ManifestLinter.check(manifest) → List[Suggestion]
  31. CLI tool: audiolab manifest validate <path>

ENTREGABLES: - [ ] JSON Schema completo y versionado - [ ] YAML parser con validación - [ ] Template generator - [ ] Linter funcional - [ ] Tests >90% coverage - [ ] Specification documentation

ESTIMACIÓN: 1.5 semanas

TAREA 5: Auto Indexer - El Escáner Robótico

Carpeta: 05_00_05_auto_indexer Criticidad: ⭐⭐⭐⭐ (Alta) Prioridad: TIER 5

DESARROLLO:

  1. Core Implementation
  2. Pipeline de indexación en 5 etapas:
    • Stage 1 - Discovery: Filesystem walker buscando manifest.yaml
    • Stage 2 - Parsing: Manifest validation contra schema
    • Stage 3 - Code Analysis: Extract structured comments (@audiolab_module)
    • Stage 4 - Enrichment: Combinar manifest + código + benchmarks
    • Stage 5 - Database Update: Upsert a SQLite con transaction
  3. Incremental indexing (solo procesa cambios desde último run)
  4. Git integration para detectar modified files
  5. Parallel processing (ThreadPoolExecutor)
  6. Structured comment parser (regex-based):
    • @audiolab_module <name>
    • @level <L0|L1|L2|L3>
    • @category <FILTER|OSC|...>
    • @performance cpu_cycles: N
  7. Error reporting detallado (qué falló, dónde, por qué)
  8. Rollback en caso de errores parciales

  9. Dry-run mode para preview

  10. Testing Framework

  11. Unit tests: Cada stage independiente
  12. Integration tests: Pipeline completo
  13. Incremental update tests: Solo procesa deltas
  14. Error handling tests: Manifests corruptos, missing files
  15. Performance tests: Indexar 500+ módulos <5 min
  16. Idempotency tests: Run N veces = Run 1 vez
  17. Parallel processing tests: No race conditions

  18. Test coverage >90%

  19. Documentación

  20. Pipeline architecture diagram
  21. Structured comment syntax reference
  22. Configuration options
  23. Performance tuning guide
  24. Troubleshooting indexing failures

  25. CI/CD integration guide

  26. Interfaces y Conexiones

  27. CLI: audiolab index --incremental --parallel
  28. Python API: AutoIndexer.run(path, incremental=True)
  29. Git hooks para auto-trigger
  30. CI/CD webhook endpoint
  31. Progress reporting con callbacks
  32. IndexResult object con stats (indexed, skipped, failed)

ENTREGABLES: - [ ] Pipeline de 5 etapas funcional - [ ] Incremental indexing <5 min - [ ] Structured comment parsing - [ ] CI/CD integration - [ ] Tests >90% coverage - [ ] Documentation completa

ESTIMACIÓN: 2.5 semanas

TAREA 6: Query APIs - Las Puertas de Acceso

Carpeta: 05_00_06_query_apis Criticidad: ⭐⭐⭐⭐ (Alta) Prioridad: TIER 6

DESARROLLO:

  1. Core Implementation
  2. Python API:
    • Fluent query builder: Registry.search().where().order_by().all()
    • Module access: Registry.get(name, version)
    • Compatibility check: Registry.check_compatibility(pair1, pair2)
    • Dependency queries: module.get_all_dependencies()
  3. C++ API:
    • Header-only library (audiolab/registry.hpp)
    • Module lookup: Registry::get(name, version)
    • Dependency checking: module.supports_sample_rate(rate)
    • Compile-time metadata access via templates
  4. REST API:
    • Framework: FastAPI (async, auto-docs, type validation)
    • Endpoints:
    • GET /api/v1/modules (search con query params)
    • GET /api/v1/modules/{uuid} (get específico)
    • POST /api/v1/check-compatibility (body: module pairs)
    • GET /api/v1/dependencies/{uuid} (recursive dependencies)
    • GET /api/v1/stats (aggregated statistics)
    • OpenAPI/Swagger auto-generated docs
    • Rate limiting (100 req/min default)
    • API key authentication
    • CORS configuration
    • Response caching (ETag/Last-Modified)
  5. Unified error handling (consistent error format)

  6. Logging & monitoring (request logging, metrics)

  7. Testing Framework

  8. Python API tests:
    • Unit tests: Cada método del API
    • Integration tests: End-to-end workflows
    • Type checking tests (mypy)
  9. C++ API tests:
    • Compile tests: Verify headers compile
    • Linking tests: Integration con código DSP
    • Runtime tests: Query correctness
  10. REST API tests:
    • Endpoint tests: Cada route
    • Auth tests: API key validation
    • Rate limiting tests: Verify throttling
    • Load tests: 1000 req/sec
    • Contract tests: OpenAPI spec compliance

  11. Test coverage >90%

  12. Documentación

  13. Python API reference (Sphinx auto-generated)
  14. C++ API reference (Doxygen)
  15. REST API documentation (OpenAPI/Swagger)
  16. Quick start guides para cada lenguaje
  17. Example code snippets (20+ ejemplos)
  18. Authentication setup guide

  19. Error code reference

  20. Interfaces y Conexiones

  21. Python package: audiolab-registry (PyPI)
  22. C++ package: Header file distribution
  23. REST API: HTTP server (uvicorn/gunicorn)
  24. CLI wrapper: audiolab api --server
  25. Docker container para REST API
  26. Health check endpoints (/health, /ready)

ENTREGABLES: - [ ] Python API completa y type-safe - [ ] C++ header-only library - [ ] REST API con OpenAPI docs - [ ] Tests >90% coverage - [ ] Multi-language documentation - [ ] Docker deployment setup

ESTIMACIÓN: 3 semanas

TAREA 7: Performance DB - El Banco de Datos Empíricos

Carpeta: 05_00_07_performance_db Criticidad: ⭐⭐⭐⭐ (Alta) Prioridad: TIER 3

DESARROLLO:

  1. Core Implementation
  2. Extended database schema:
    • benchmark_runs (id, module_id, timestamp, duration_sec, samples_processed)
    • hardware_config (run_id, cpu_model, cache_l1/l2/l3, ram_speed, os_version)
    • compiler_config (run_id, compiler_name, version, flags, target_arch)
    • performance_metrics (run_id, samples_per_sec, cpu_cycles_per_sample, latency_samples, cache_misses, branch_mispredictions, memory_bandwidth_mbps)
    • percentiles (run_id, p50, p95, p99, p999, min, max)
    • stability_metrics (run_id, numerical_errors_count, crashes_count, test_duration_sec)
  3. Benchmark result importer (parse CSV/JSON from test framework)
  4. Hardware detection library integration (cpuinfo, psutil)
  5. Statistical analysis tools:
    • Outlier detection (IQR method)
    • Trend analysis (performance over versions)
    • Regression detection (compare con baseline)
  6. Visualization data export (JSON para charting libraries)

  7. Performance comparison tool (A/B entre versiones)

  8. Testing Framework

  9. Data import tests: Valid/invalid benchmark files
  10. Statistical analysis tests: Verify calculations
  11. Regression detection tests: Known regressions detected
  12. Query performance tests: Complex aggregations <200ms
  13. Data integrity tests: No corrupt metrics

  14. Test coverage >90%

  15. Documentación

  16. Schema documentation (cada métrica explicada)
  17. Benchmark result format specification
  18. Hardware detection guide
  19. Statistical methods reference
  20. Regression analysis guide

  21. Visualization integration examples

  22. Interfaces y Conexiones

  23. PerformanceDB.import_benchmark(filepath)
  24. PerformanceDB.get_metrics(module_id, hardware_filter)
  25. PerformanceDB.compare_versions(module_id, v1, v2)
  26. PerformanceDB.detect_regressions(baseline_version)
  27. Export to Grafana/Prometheus format
  28. Symlink: benchmark_results/ → ../30_testing_framework/benchmarks/results/

ENTREGABLES: - [ ] Extended schema con métricas detalladas - [ ] Benchmark importer funcional - [ ] Statistical analysis tools - [ ] Regression detection - [ ] Tests >90% coverage - [ ] Documentation completa

ESTIMACIÓN: 2 semanas

TAREA 8: Taxonomy System - El Orden Clasificatorio

Carpeta: 05_00_08_taxonomy_system Criticidad: ⭐⭐⭐ (Media) Prioridad: TIER 1 (Foundation)

DESARROLLO:

  1. Core Implementation
  2. Hierarchical taxonomy definition (YAML config): 
    levels:
  - L0_KERNEL
  - L1_ATOM
  - L2_CELL
  - L3_ENGINE
categories:
  FILTER: [SVF, LADDER, BIQUAD, FIR, IIR]
  OSCILLATOR: [WAVETABLE, ANALOG, FM, ADDITIVE]
  ENVELOPE: [ADSR, AHD, MULTISTAGE]
  DYNAMICS: [COMPRESSOR, LIMITER, GATE, EXPANDER]
  EFFECT: [REVERB, DELAY, CHORUS, PHASER]
  3. Taxonomy validator (check module classification valid)
  4. Tag management system (free-form tags no conflictan)
  5. Taxonomy evolution system (añadir categorías nuevas)
  6. Navigation tree generator (para UIs)
  7. Drill-down query builder:
    • Taxonomy.navigate(level='L1').category('FILTER').subcategory('SVF')
  8. Statistics aggregator (count por rama)

  9. Autocomplete suggestions para tags

  10. Testing Framework

  11. Validation tests: Valid/invalid classifications
  12. Navigation tests: Drill-down correctness
  13. Statistics tests: Verify counts
  14. Evolution tests: Añadir categorías sin romper
  15. Tag suggestion tests: Relevance

  16. Test coverage >85%

  17. Documentación

  18. Complete taxonomy reference
  19. Category/subcategory definitions
  20. Tag guidelines y best practices
  21. Evolution process documentation

  22. Navigation examples

  23. Interfaces y Conexiones

  24. Taxonomy.validate_classification(level, category, subcategory)
  25. Taxonomy.get_tree() → Hierarchical dict
  26. Taxonomy.suggest_tags(module_description) → List[str]
  27. Taxonomy.get_statistics() → Count por rama
  28. Integration con Manifest validation

ENTREGABLES: - [ ] Taxonomy definition completa - [ ] Validator funcional - [ ] Navigation system - [ ] Tests >85% coverage - [ ] Complete reference documentation

ESTIMACIÓN: 1 semana

TAREA 9: Changelog System - La Memoria Histórica

Carpeta: 05_00_09_changelog_system Criticidad: ⭐⭐⭐ (Media) Prioridad: TIER 3

DESARROLLO:

  1. Core Implementation
  2. Database schema:
    • changelog_entries (id, module_id, version, release_date, author, change_type)
    • change_details (entry_id, summary, details_markdown, reason, breaking_change_flag)
    • performance_impact (entry_id, metric_name, before_value, after_value, delta_percent)
    • modified_files (entry_id, filepath, git_commit_hash)
  3. Changelog entry generator (CLI tool):
    • Interactive prompts para metadata
    • Template-based generation
    • Git integration para auto-detect modified files
  4. CHANGELOG.md auto-generation (Keep a Changelog format)
  5. Breaking change detector (semver bump validator)
  6. Migration guide generator skeleton
  7. Version timeline visualization export

  8. RSS feed para subscribirse a updates

  9. Testing Framework

  10. Entry creation tests: Valid/invalid entries
  11. Generator tests: Interactive CLI simulation
  12. Auto-generation tests: Verify CHANGELOG.md format
  13. Breaking change tests: Detection accuracy
  14. Git integration tests: Correct commit extraction

  15. Test coverage >85%

  16. Documentación

  17. Changelog entry specification
  18. Change type definitions (FEATURE, BUGFIX, BREAKING, PERFORMANCE)
  19. Migration guide template
  20. Best practices para escribir changelogs

  21. Examples de good changelogs

  22. Interfaces y Conexiones

  23. CLI: audiolab changelog add --module svf_filter --version 2.0.0
  24. Changelog.add_entry(module_id, version, details)
  25. Changelog.get_history(module_id) → Chronological list
  26. Changelog.generate_markdown(module_id) → CHANGELOG.md
  27. Changelog.get_breaking_changes_since(version)
  28. Git commit hook integration

ENTREGABLES: - [ ] Changelog database schema - [ ] Entry generator CLI tool - [ ] Auto-generation a CHANGELOG.md - [ ] Breaking change detector - [ ] Tests >85% coverage - [ ] Documentation completa

ESTIMACIÓN: 1.5 semanas

Carpeta: 05_00_10_license_registry Criticidad: ⭐⭐⭐ (Media) Prioridad: TIER 3

DESARROLLO:

  1. Core Implementation
  2. Database schema:
    • module_licenses (module_id, license_type, copyright_holder, copyright_years, license_text)
    • third_party_deps (module_id, dependency_name, dependency_version, dependency_license, attribution_required, attribution_text)
    • patent_claims (module_id, description, patent_numbers, status)
    • export_restrictions (module_id, cryptography_flag, military_use_flag, restricted_countries)
  3. License compatibility checker:
    • Rules engine: MIT+GPL=GPL, Apache+BSD=Apache, etc.
    • Conflict detection (GPL + Proprietary)
  4. CREDITS.txt auto-generator
  5. SPDX identifier parser y validator
  6. License text database (common licenses pre-loaded)

  7. Compliance report generator (para legal review)

  8. Testing Framework

  9. Compatibility tests: Known compatible/incompatible pairs
  10. CREDITS generation tests: Verify completeness
  11. SPDX validation tests: Valid/invalid identifiers
  12. Conflict detection tests: Known violations detected

  13. Test coverage >85%

  14. Documentación

  15. License compatibility matrix
  16. SPDX identifier reference
  17. Compliance process guide
  18. Attribution requirements por license type

  19. Legal disclaimer templates

  20. Interfaces y Conexiones

  21. LicenseRegistry.check_compatibility(licenses) → CompatResult
  22. LicenseRegistry.generate_credits() → CREDITS.txt
  23. LicenseRegistry.get_restrictions(module_id) → List[Restriction]
  24. LicenseRegistry.validate_spdx(identifier) → bool
  25. Integration con dependency tracker
  26. Export to SPDX document format

ENTREGABLES: - [ ] License database schema - [ ] Compatibility checker - [ ] CREDITS auto-generator - [ ] Compliance report generator - [ ] Tests >85% coverage - [ ] Legal documentation

ESTIMACIÓN: 1.5 semanas

TAREA 11: Deprecation Manager - El Gestor del Ciclo de Vida

Carpeta: 05_00_11_deprecation_manager Criticidad: ⭐⭐⭐ (Media) Prioridad: TIER 3

DESARROLLO:

  1. Core Implementation
  2. Database schema:
    • deprecation_timeline (module_id, stage, start_date, end_date, reason, alternative_module_id)
    • deprecation_notices (module_id, notice_type, sent_date, recipient)
  3. Stage definitions:
    • DEPRECATED (6 months): Compile warnings, docs updated
    • LEGACY (6 months): Moved to legacy:: namespace, opt-in
    • REMOVED: Code deleted, migration guide preserved
  4. Automated notification system:
    • Email sender para usuarios conocidos
    • GitHub issue creator (tracking removal)
    • Compile-time warning injector (pragma messages)
  5. Migration guide template generator
  6. Timeline visualizer (Gantt-style)

  7. Dependency impact analyzer (qué se afecta)

  8. Testing Framework

  9. Stage transition tests: DEPRECATED → LEGACY → REMOVED
  10. Notification tests: Emails/issues created
  11. Warning injection tests: Compile warnings visible
  12. Timeline validation tests: Durations correctas
  13. Impact analysis tests: Dependency detection

  14. Test coverage >85%

  15. Documentación

  16. Deprecation process specification (3-stage pipeline)
  17. Timeline requirements (12 months minimum)
  18. Notification templates
  19. Migration guide writing guide

  20. Examples de deprecations bien manejadas

  21. Interfaces y Conexiones

  22. DeprecationManager.mark_deprecated(module_id, reason, alternative)
  23. DeprecationManager.advance_stage(module_id) (DEPRECATED→LEGACY)
  24. DeprecationManager.get_timeline(module_id) → Timeline
  25. DeprecationManager.send_notifications(module_id)
  26. DeprecationManager.analyze_impact(module_id) → List[affected_modules]
  27. Integration con dependency tracker

ENTREGABLES: - [ ] Deprecation database schema - [ ] 3-stage pipeline implementation - [ ] Notification system funcional - [ ] Migration guide generator - [ ] Tests >85% coverage - [ ] Process documentation

ESTIMACIÓN: 1.5 semanas

TAREA 12: Validation Engine - El Guardián de Integridad

Carpeta: 05_00_12_validation_engine Criticidad: ⭐⭐⭐⭐⭐ (Máxima) Prioridad: TIER 2

DESARROLLO:

  1. Core Implementation
  2. Validation suite con 5 categorías obligatorias:
    • Schema Compliance: JSON Schema validation de manifests
    • Referential Integrity: Foreign keys válidos, no dangling refs
    • DAG Acyclicity: Dependency graph sin ciclos
    • Filesystem Consistency: Paths apuntan a archivos existentes
    • Performance Data Sanity: Valores dentro de rangos razonables
  3. Validation rule engine:
    • Rules definidas en DSL declarativo
    • Priority/severity levels (ERROR, WARNING, INFO)
    • Custom rules extensibles
  4. CI/CD gate implementation:
    • Pre-commit hook (fast local validation)
    • Pre-merge check (full validation suite)
    • Blocking merge si hay ERRORS
  5. Validation report generator (HTML, JSON, Markdown)
  6. Continuous validation daemon (monitoreo background)

  7. Auto-fix suggestions para warnings comunes

  8. Testing Framework

  9. Rule tests: Cada regla detecta violaciones
  10. False positive tests: No reportar falsos errores
  11. Performance tests: Full validation <30 sec
  12. CI/CD integration tests: Blocking funciona
  13. Auto-fix tests: Suggestions correctas

  14. Test coverage >95%

  15. Documentación

  16. Validation rules reference (cada regla explicada)
  17. CI/CD integration guide
  18. Auto-fix documentation
  19. Troubleshooting validation errors

  20. Custom rule development guide

  21. Interfaces y Conexiones

  22. CLI: audiolab validate --full
  23. ValidationEngine.run() → ValidationReport
  24. ValidationEngine.add_rule(rule_definition)
  25. ValidationReport.to_html(), .to_json(), .to_markdown()
  26. Git hooks: .git/hooks/pre-commit
  27. CI/CD: GitHub Actions workflow integration

ENTREGABLES: - [ ] 5 validation categories implementadas - [ ] Rule engine extensible - [ ] CI/CD gate funcional - [ ] Auto-fix suggestions - [ ] Tests >95% coverage - [ ] Complete documentation

ESTIMACIÓN: 2 semanas

TAREA FINAL-A: Integration Testing & Validation

Carpeta: 05_00_test_integration Criticidad: ⭐⭐⭐⭐⭐ (Máxima)

DESARROLLO:

  1. End-to-End Test Suite
  2. Workflow test: New module registration
    • Create manifest → Validate → Index → Query → Success
  3. Workflow test: Dependency resolution
    • Add dependencies → Validate DAG → Check compatibility → Success
  4. Workflow test: Version upgrade
    • Release new version → Update manifest → Re-index → Changelog → Success
  5. Workflow test: Deprecation pipeline
    • Mark deprecated → Notify → Advance stage → Remove → Success

  6. Workflow test: Performance regression

    • Import benchmark → Compare → Detect regression → Alert → Success

  7. Cross-Subsystem Validation

  8. Core DB ↔ Search Engine: Verify index consistency
  9. Dependency Tracker ↔ Version Matrix: Compatibility data coherent
  10. Auto-indexer ↔ Validation Engine: All indexed modules valid
  11. Manifest System ↔ Taxonomy: Classifications correct

  12. Performance DB ↔ Changelog: Performance impacts recorded

  13. Regression Test Automation

  14. Test data fixtures: 100+ sample modules
  15. Snapshot testing: DB state comparisons
  16. Golden file testing: Expected outputs preserved

  17. CI/CD matrix: Test en múltiples platforms (Windows/Linux/macOS)

  18. Performance Validation Suite

  19. Load testing: 1000+ concurrent queries
  20. Stress testing: 10,000 modules indexed
  21. Endurance testing: 24hr continuous operation

  22. Benchmark suite: Query/index/validation performance targets

  23. Stress & Load Testing

  24. Concurrent access: 100 parallel writes
  25. Large datasets: 50,000 modules
  26. Memory profiling: Detect leaks
  27. Database corruption recovery

ENTREGABLES: - [ ] 5 end-to-end workflows tested - [ ] Cross-subsystem validation passing - [ ] Regression suite automated - [ ] Performance targets met - [ ] Stress tests passing - [ ] CI/CD integration complete

ESTIMACIÓN: 2 semanas

TAREA FINAL-B: System Integration

Carpeta: 05_00_interfaces Criticidad: ⭐⭐⭐⭐ (Alta)

DESARROLLO:

  1. Conectores con subsistemas externos (según SYMLINKS)
  2. source_modules/ → ../27_IMPLEMENTATIONS/modules/
    • Module discovery scanner
    • Code analysis integration
  3. benchmark_results/ → ../30_TESTING_FRAMEWORK/benchmarks/results/
    • Benchmark importer daemon
    • Auto-update performance DB
  4. generated_docs/ → ../32_DOCUMENTATION_SYSTEM/api_reference/
    • Documentation exporter
    • API reference sync
  5. build_metadata/ → ../29_CLI_TOOLS/build_cache/
    • Build system integration
    • Compile flags tracking
  6. algorithm_refs/ → ../03_ALGORITHM_SPEC/implementations/
    • Algorithm spec linker
    • Mathematical reference cross-ref

  7. test_coverage/ → ../30_TESTING_FRAMEWORK/coverage_reports/

    • Coverage data importer
    • Quality metrics tracking

  8. Event Bus Implementation

  9. Event types:
    • ModuleAdded, ModuleUpdated, ModuleRemoved
    • DependencyChanged, VersionReleased
    • PerformanceRegression, ValidationFailed
  10. Pub/Sub pattern (Redis Streams o similar)
  11. Event persistence (audit log)

  12. Webhook delivery system

  13. Shared State Management

  14. Cache coherence protocol
  15. Lock-free concurrent access donde posible
  16. Transaction coordination across components

  17. State synchronization verification

  18. Communication Protocols

  19. Internal IPC: gRPC para inter-process communication
  20. External API: REST + WebSocket para real-time updates
  21. Message format: Protocol Buffers
  22. Authentication: JWT tokens

ENTREGABLES: - [ ] 6 symlink connections funcionales - [ ] Event bus operational - [ ] Shared state management tested - [ ] Communication protocols documented - [ ] Integration tests passing

ESTIMACIÓN: 2 semanas

TAREA FINAL-C: Documentation Package

Carpeta: 05_00_documentation Criticidad: ⭐⭐⭐⭐ (Alta)

DESARROLLO:

  1. Complete API Reference
  2. Python API: Sphinx-generated docs
  3. C++ API: Doxygen-generated docs
  4. REST API: OpenAPI/Swagger interactive docs
  5. CLI reference: Man pages + online docs

  6. Code examples: 50+ snippets

  7. Developer Guide

  8. Getting started tutorial
  9. Architecture deep-dive
  10. Common workflows guide
  11. Best practices compendium

  12. Troubleshooting FAQ

  13. User Manual

  14. Installation guide (Windows/Linux/macOS)
  15. Configuration reference
  16. Query syntax tutorial
  17. Manifest writing guide

  18. CLI command reference

  19. Migration Guides

  20. Schema version migration steps
  21. Deprecated features alternatives
  22. Breaking changes handling

  23. Upgrade procedures

  24. Architecture Diagrams

  25. System architecture (high-level)
  26. Data flow diagrams
  27. Dependency graph visualization
  28. Database schema (ER diagram)
  29. Deployment architecture

ENTREGABLES: - [ ] API reference completa (3 lenguajes) - [ ] Developer guide (100+ páginas) - [ ] User manual (50+ páginas) - [ ] Migration guides (todas versiones) - [ ] Architecture diagrams (10+ diagramas) - [ ] Documentation site deployed

ESTIMACIÓN: 2 semanas

RESUMEN DE ESTIMACIONES

Fase Tareas Duración Total Parallelizable
TIER 1 - Foundation T4, T8 2.5 semanas Sí (2 devs) → 1.5 sem
TIER 2 - Core Infrastructure T1, T12 4 semanas Sí (2 devs) → 2 sem
TIER 3 - Operational Systems T3, T7, T9, T10, T11 8.5 semanas Sí (3 devs) → 3 sem
TIER 4 - Intelligence Layer T2, T4 2 semanas Sí (2 devs) → 1 sem
TIER 5 - Automation T5 2.5 semanas No → 2.5 sem
TIER 6 - External Interfaces T6 3 semanas No → 3 sem
TIER 7 - Integration FA, FB, FC 6 semanas Parcial (2 devs) → 4 sem

TOTAL SECUENCIAL: ~28.5 semanas TOTAL PARALELO (3 devs): ~17 semanas (~4 meses)

CRITERIOS DE ÉXITO GLOBALES

Funcionalidad

  • 100% de módulos L0-L3 indexados
  • 0 ciclos de dependencias no detectados
  • 0 manifests inválidos en main branch
  • 100% de benchmarks importados automáticamente

Performance

  • Query latency <100ms (99% percentile)
  • Auto-indexación completa <5 min
  • API uptime >99.9%
  • Database rebuild from manifests <10 min

Calidad

  • Test coverage >90% (promedio)
  • 0 critical security vulnerabilities
  • Code review approval para todas PRs
  • Documentation coverage 100% de APIs públicas

Usabilidad

  • Time to discovery <2 min (developer survey)
  • Developer satisfaction >90% (survey)
  • Search precision >95% (top-10 relevance)
  • Onboarding time reducido 5x (medido con nuevos devs)

Compliance

  • 100% license tracking coverage
  • 0 GPL violations no detectadas
  • SPDX compliance verificado
  • Legal review aprobado
# Conexión con código fuente de módulos
🔗 source_modules/ → ../27_IMPLEMENTATIONS/modules/

# Conexión con benchmarks reales
🔗 benchmark_results/ → ../30_TESTING_FRAMEWORK/benchmarks/results/

# Conexión con documentación generada
🔗 generated_docs/ → ../32_DOCUMENTATION_SYSTEM/api_reference/

# Conexión con build artifacts
🔗 build_metadata/ → ../29_CLI_TOOLS/build_cache/

# Conexión con specs matemáticas
🔗 algorithm_refs/ → ../03_ALGORITHM_SPEC/implementations/

# Conexión con sistema de testing
🔗 test_coverage/ → ../30_TESTING_FRAMEWORK/coverage_reports/

ANTIPATTERNS A EVITAR

🚫 Catálogo desactualizado divergente del código - Auto-indexación debe ejecutarse automáticamente en cada commit, no manualmente

🚫 Manifests inconsistentes con formatos ad-hoc - Schema validation estricta obligatoria, ningún manifest inválido debe mergearse

🚫 Performance basado en estimaciones teóricas - Solo datos de benchmarks reales ejecutados permitidos, nunca "creo que usa ~100 cycles"

🚫 Dependency hell sin detección - Validación de compatibilidad debe ejecutarse antes de merge, no descubrir en runtime

🚫 Documentación manual desactualizada - Extracción automática desde código obligatoria, docs manuales quedan obsoletas

🚫 Versiones semánticas ignoradas - Semver enforcement estricto, no "v1_final_really_final_v2"

🚫 Licencias sin rastrear - Compliance check automático en cada dependencia nueva, legal no se entera después

🚫 Deprecations abruptas que rompen todo - Proceso gradual multi-etapa siempre, 12 meses mínimo de notice

🚫 Database única como single point of failure - Manifests YAML deben ser source of truth regenerable, database es índice

🚫 Queries lentas bloqueando desarrollo - Índices optimizados obligatorios, <100ms o es bug

🚫 UUID colisiones por generación manual - UUIDs autogenerados por sistema, no escritos a mano por desarrolladores

🚫 Taxonomy caótica sin principios - Clasificación debe seguir principios definidos, no libre inventiva

PRÓXIMOS PASOS

Este plan debe ejecutarse siguiendo el orden de TIERs para respetar dependencias técnicas. Se recomienda:

  1. Comenzar con TIER 1 (Manifest System + Taxonomy System) - 1.5 semanas con 2 devs
  2. Continuar con TIER 2 (Core Database + Validation Engine) - 2 semanas con 2 devs
  3. Expandir a TIER 3 (5 operational systems en paralelo) - 3 semanas con 3 devs
  4. Implementar TIER 4-6 secuencialmente - 6.5 semanas
  5. Finalizar con TIER 7 (Integration + Documentation) - 4 semanas con 2 devs

Timeline optimizado total: ~17 semanas con equipo de 3 desarrolladores