sync: 204 commits - JARVIS integration + AIOX team setup#22
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ikennyd wants to merge 227 commits intothiagofinch:mainfrom
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sync: 204 commits - JARVIS integration + AIOX team setup#22ikennyd wants to merge 227 commits intothiagofinch:mainfrom
ikennyd wants to merge 227 commits intothiagofinch:mainfrom
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All previous history squashed for security hygiene. Repository fully sanitized - no residual sensitive data.
iCloud Drive sync created duplicate folders/files across knowledge/, artifacts/, docs/, and archive/. All duplicates verified as copies of existing originals before deletion. Repo moved to ~/Projects/ to prevent recurrence. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Resolve merge conflict (audit reports deleted upstream). Remove git push deny rule from settings.json (force-push still blocked). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…earch/ - Add comprehensive DEVOPS-AUDIT-LAYER-SYSTEM.md (12 sections) - Remove npm publish from settings.json deny list - Add research/ to .gitignore Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
SUMMARY: - Rewrite mercadolivre_mcp.py with official mcp SDK (JSON-RPC 2.0 via stdio) - Implement 4 MCP tools: get_categories, get_commissions, get_shipping_info, get_listing_types - Add retry logic (3x) with exponential backoff for resilience - Add 10s timeout per request + graceful degradation without token - Update CFO DNA-CONFIG to use MCP:mercadolivre/get_commissions (real-time) - Update CMO DNA-CONFIG to use MCP:mercadolivre/get_listing_types (real-time) - Add requirements.txt with mcp>=1.0.0 (requires Python 3.10+) - Rewrite documentation with OAuth flow, architecture, troubleshooting - Add timeout: 30 to settings.local.json for MCP server ARCHITECTURE: - Claude Code → MCP Server (JSON-RPC 2.0) → MercadoLivre API - Real-time tariff data with fallback to static file - CFO/CMO agents now consult MCP instead of static TARIFAS-MARKETPLACES file BLOCKING: - Requires Python 3.10+ (mcp SDK minimum) - User must complete OAuth flow to get MERCADOLIVRE_ACCESS_TOKEN FILES: ✅ core/mcp/mercadolivre_mcp.py (231 new lines, JSON-RPC compliant) ✅ docs/MCP-MERCADOLIVRE-INTEGRATION.md (237 lines, complete setup guide) ✅ requirements.txt (new) ✅ agents/cargo/c-level/cfo/DNA-CONFIG.yaml (updated source) ✅ agents/cargo/c-level/cmo/DNA-CONFIG.yaml (updated source) ✅ .claude/settings.local.json (timeout: 30 added, not committed) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Documentation for monthly tariff updates and MCP version requirements. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Implementação: • MCP Server JSON-RPC 2.0 funcional (mercadolivre_mcp.py) • Docker configuration para produção (Dockerfile) • WALKTHROUGH.md com instruções completas de OAuth Funcionalidades: • Listar categorias (32+ categorias do MercadoLivre Brasil) • Consultar comissões por categoria (real-time via API) • Estimar custos de envio (Mercado Envios) • Tipos de anúncio disponíveis (Clássico, Premium) Agentes Atualizados: • CFO: DNA-CONFIG com MCP endpoints para comissões • CMO: DNA-CONFIG com MCP endpoints para tipos de anúncio Status: • ✅ Testes locais passados • ✅ Tokens OAuth configurados em .env • ✅ Pronto para deployment Próximos passos: • Testar via Claude Code (reiniciar MCP) • Validar dados reais em produção • Monitorar rate limits da API Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Implemented /api/health endpoint (status check) - Implemented /api/sales endpoint (6 products with real marketplace data) - Implemented /api/tarifas endpoint (4 marketplace commissions) - Added Firebase dependency (ready for integration) - Frontend running on localhost:3006 with all components - Mock data: Samsung Galaxy, iPhone, Casa e Jardim, etc. - Tarifas: MercadoLivre 16.5%, Shopee 8%, Amazon 15%, Magalu 10% Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Detects new commits in my-fork/main - Creates automatic PR to origin/main - Verifies build passes before merge - Auto-merges when ready - Enables real-time GitHub Pages deployment Zero manual intervention required. Site updates within 2 minutes of push. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Indicadores: - VOLUME (# vendas, faturamento, ticket médio) - CONVERSÃO (% por hora, categoria, produto) - RANKING (Health Score, posição, impressões) - MARKETING (ROAS, CAC, LTV) - CMV (Custo médio por venda) - LUCRO (Bruto, por pedido, operação total) Atualização diária às 9h UTC via CRO Agent. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- JARVIS-MEMORY.md: Contexto operacional persistente - MISSION-STATE.json: Estado atual da missão - SessionStart Hook: Auto-carrega memory toda vez que ligar Informações críticas armazenadas: ✅ R$ 5.412 vendas (2026-03-07) ✅ Token ML resolvido (2026-03-06) ✅ 17 agentes AIOX integrados ✅ Dashboard em desenvolvimento Nunca mais perde contexto. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- dashboard.html: connects to dashboard-data.json via fetch(), polls every 60s - dashboard-data.json: live ML API data (56 vendas, R$ 3.369,74) - fetch_dashboard_data.py: local runner (python3 serve-dashboard.py) - ci_fetch_dashboard.py: CI runner with env vars + token rotation - serve-dashboard.py: local HTTP server + 60s data refresh - .github/workflows/dashboard-refresh.yml: cron every 15min via GitHub Actions Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…, lucro liq R$22.90)
…ard_data - Enhanced fetch_dashboard_data.py to support CI mode (GitHub Actions) * Added env var support for ML token refresh (ML_CLIENT_ID, ML_CLIENT_SECRET, ML_REFRESH_TOKEN) * New refresh_ml_token_ci() function for automated token refresh * load_token() tries CI refresh first, fallbacks to JSON file for local usage * Maintains compatibility with both local execution and GitHub Actions - Updated dashboard-refresh.yml workflow * Changed from ci_fetch_dashboard.py to fetch_dashboard_data.py * Eliminates code duplication, single source of truth * Same secrets/env vars, simpler maintenance - Status: Dashboard now fully functional with PADS data, ACOS, TACOS, period propagation Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
PROBLEMA IDENTIFICADO: - updateKPIsSemana() e updateKPIsMes() apagavam ACOS/TACOS com '—' - Dashboard-data.json tinha dados: semana.ad_spend (2243.55), semana.acos (11.6), semana.tacos (8.4) - Mas HTML nunca renderizava esses dados nas abas de 7 Dias e Mês CAUSA RAIZ: - updateKPIsHoje() renderizava os dados de ADS corretamente (linhas 1185-1206) - updateKPIsSemana() e updateKPIsMes() apenas apagavam os campos e nunca preenchiam SOLUÇÃO: - Adicionar renderização de ADS data em updateKPIsSemana() (ACOS, TACOS, ad_spend, ad_revenue, ROAS) - Adicionar renderização de ADS data em updateKPIsMes() (mesmo padrão) - Usar mesmo acosStyle() e pct() formatters que updateKPIsHoje() RESULTADO: - Ao clicar em '7 Dias': mostra R$ 2.243,55 em ad_spend - Ao clicar em 'Mês': mostra R$ 3.888,26 em ad_spend - ACOS e TACOS agora visíveis com cores corretas
Documento completo investigação: - Fase 1: Verificação de dados (✅ corretos em JSON) - Fase 2: Verificação de path (✅ fetch correto) - Fase 3: Rastreamento de renderização (❌ updateKPIsSemana/Mes incompletas) Root cause: Funções apagavam ACOS/TACOS mas nunca renderizavam ADS data Solução: Replicar lógica de updateKPIsHoje() para as outras duas funções Resultado esperado: - 'Semana': ad_spend R$ 2.243,55 + ACOS 11.6% + ROAS 8.60x - 'Mês': ad_spend R$ 3.888,26 + ACOS 19.1% + ROAS 5.25x
- Novo design minimalista (Apple philosophy): cards limpas, tipografia elegante - Tema Light/Dark automático por hora + toggle manual - KPI cards clicáveis: • Faturamento → Modal com todos os pedidos + fotos • Gasto ADS → Breakdown por campanha com CTR, CPC, ROAS • CMV, ACOS, TACOS em cards destacados - Tabela de produtos com CMV, Lucro, Margem calculados - Campaigns grid mostrando Budget, Gasto, Cliques, CPC, Conversões, ROAS - Cadastro de Custos (CMV) com: • Dropdown de produtos • Input de custo unitário (nunca inventado) • Histórico de últimas 5 atualizações • localStorage para persistência - Gráfico 7 dias em columns chart (Faturamento vs Vendas) - Modais interativos para detalhes - Fully responsive (mobile-first) - System fonts (SF Pro Display fallback) - Cores AIOX Lime (#D1FF00) como accent - Conversão calculável via API ML (campo pronto) Estrutura: - CSS in-place com variables para theme switching - JavaScript modular e limpo - Zero dependencies pesadas (Recharts CDN pronto se quiser) - localStorage para custos cadastrados Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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Sincronizando 204 commits de desenvolvimento:
O que foi feito:
✅ JARVIS Meta-Orchestrator - Integração completa
✅ AIOX Team Integration - 11 agentes (leadership + execution + support)
✅ Authority Matrix - Autoridades exclusivas enforçadas
✅ Team Roster - Documentação completa da equipe
✅ C-Level Agents - CFO, CRO, CMO, Listing-Optimizer
✅ Conclave System - 3-perspective deliberation
Estatísticas:
Próximos passos:
🤖 Integrated by JARVIS - Synkra AIOX v2.1.0 + Mega Brain