From 234314d1c6ba448987c895d104d15ca63ca55338 Mon Sep 17 00:00:00 2001 From: Marcio Bevervanso Date: Sun, 7 Jun 2026 19:30:33 -0300 Subject: [PATCH] Publish MetaAds Pro: AI-driven Meta Ads campaign management dashboard Full app with AI campaign creation/copy/creative generation, dashboard, campaign automation engine, Meta OAuth login, and a redesigned landing page. Co-Authored-By: Claude Sonnet 4.6 --- .claude/scheduled_tasks.lock | 1 + .gitignore | 6 + mcp-config.json | 12 + mcp-server/index.ts | 243 ++ mcp-server/package.json | 19 + mcp-server/tsconfig.json | 17 + n8n-workflow.json | 93 + package-lock.json | 3249 +++++++++++++++++++- package.json | 12 +- src/app/api/ai/analyze-link/route.ts | 29 + src/app/api/ai/generate-audience/route.ts | 29 + src/app/api/ai/generate-copy/route.ts | 30 + src/app/api/ai/generate-image/route.ts | 41 + src/app/api/analysis/chat/route.ts | 53 + src/app/api/analysis/route.ts | 144 + src/app/api/auth/callback/route.ts | 81 + src/app/api/auth/logout/route.ts | 13 + src/app/api/auth/meta/route.ts | 37 + src/app/api/campaigns/[id]/budget/route.ts | 45 + src/app/api/campaigns/[id]/status/route.ts | 50 + src/app/api/campaigns/create/route.ts | 270 ++ src/app/api/campaigns/draft/[id]/route.ts | 24 + src/app/api/campaigns/draft/route.ts | 93 + src/app/api/campaigns/insights/route.ts | 53 + src/app/api/campaigns/route.ts | 87 + src/app/api/cron/monitor/route.ts | 70 + src/app/api/debug/route.ts | 15 + src/app/api/engine/rules/route.ts | 67 + src/app/api/engine/run/route.ts | 44 + src/app/api/meta/pages/route.ts | 43 + src/app/api/settings/route.ts | 24 + src/app/dashboard/activity/page.tsx | 151 + src/app/dashboard/analysis/page.tsx | 462 +++ src/app/dashboard/automation/page.tsx | 261 ++ src/app/dashboard/create/page.tsx | 1438 +++++++++ src/app/dashboard/history/page.tsx | 321 ++ src/app/dashboard/layout.tsx | 15 + src/app/dashboard/page.tsx | 220 ++ src/app/dashboard/settings/page.tsx | 197 ++ src/app/data-deletion/page.tsx | 65 + src/app/globals.css | 510 ++- src/app/layout.tsx | 29 +- src/app/login/page.tsx | 96 + src/app/page.tsx | 262 +- src/app/privacy/page.tsx | 85 + src/app/setup/page.tsx | 34 + src/app/terms/page.tsx | 84 + src/components/dashboard/BudgetModal.tsx | 108 + src/components/dashboard/CampaignTable.tsx | 265 ++ src/components/dashboard/DateFilter.tsx | 40 + src/components/dashboard/MetricsCard.tsx | 142 + src/components/dashboard/Sidebar.tsx | 133 + src/components/public/AnimatedCounter.tsx | 39 + src/components/public/FloatingOrbs.tsx | 37 + src/components/public/HowItWorks.tsx | 130 + src/components/public/LegalPage.tsx | 36 + src/components/public/LiveChartMock.tsx | 130 + src/components/public/PublicFooter.tsx | 19 + src/components/public/PublicHeader.tsx | 35 + src/components/public/ScrollReveal.tsx | 28 + src/components/public/StatsStrip.tsx | 30 + src/components/theme/ThemeProvider.tsx | 56 + src/components/theme/ThemeToggle.tsx | 27 + src/components/ui/ErrorBlock.tsx | 60 + src/components/ui/Modal.tsx | 34 + src/components/ui/Spinner.tsx | 44 + src/config/skins/index.ts | 208 ++ src/lib/ai/analyzer.ts | 121 + src/lib/ai/client.ts | 26 + src/lib/ai/copywriter.ts | 123 + src/lib/ai/creative.ts | 65 + src/lib/ai/scraper.ts | 68 + src/lib/ai/strategist.ts | 98 + src/lib/auth/session.ts | 50 + src/lib/engine/monitor.ts | 254 ++ src/lib/engine/rules.ts | 132 + src/lib/errors.ts | 89 + src/lib/mcp/client.ts | 357 +++ src/lib/mcp/tools.ts | 615 ++++ src/lib/meta/create.ts | 8 + src/lib/meta/targeting.ts | 169 + src/lib/meta/types.ts | 126 + src/lib/settings.ts | 34 + src/lib/supabase/server.ts | 20 + src/middleware.ts | 31 + supabase/migration.sql | 78 + tsconfig.json | 2 +- 87 files changed, 13166 insertions(+), 125 deletions(-) create mode 100644 .claude/scheduled_tasks.lock create mode 100644 mcp-config.json create mode 100644 mcp-server/index.ts create mode 100644 mcp-server/package.json create mode 100644 mcp-server/tsconfig.json create mode 100644 n8n-workflow.json create mode 100644 src/app/api/ai/analyze-link/route.ts create mode 100644 src/app/api/ai/generate-audience/route.ts create mode 100644 src/app/api/ai/generate-copy/route.ts create mode 100644 src/app/api/ai/generate-image/route.ts create mode 100644 src/app/api/analysis/chat/route.ts create mode 100644 src/app/api/analysis/route.ts create mode 100644 src/app/api/auth/callback/route.ts create mode 100644 src/app/api/auth/logout/route.ts create mode 100644 src/app/api/auth/meta/route.ts create mode 100644 src/app/api/campaigns/[id]/budget/route.ts create mode 100644 src/app/api/campaigns/[id]/status/route.ts create mode 100644 src/app/api/campaigns/create/route.ts create mode 100644 src/app/api/campaigns/draft/[id]/route.ts create mode 100644 src/app/api/campaigns/draft/route.ts create mode 100644 src/app/api/campaigns/insights/route.ts create mode 100644 src/app/api/campaigns/route.ts create mode 100644 src/app/api/cron/monitor/route.ts create mode 100644 src/app/api/debug/route.ts create mode 100644 src/app/api/engine/rules/route.ts create mode 100644 src/app/api/engine/run/route.ts create mode 100644 src/app/api/meta/pages/route.ts create mode 100644 src/app/api/settings/route.ts create mode 100644 src/app/dashboard/activity/page.tsx create mode 100644 src/app/dashboard/analysis/page.tsx create mode 100644 src/app/dashboard/automation/page.tsx create mode 100644 src/app/dashboard/create/page.tsx create mode 100644 src/app/dashboard/history/page.tsx create mode 100644 src/app/dashboard/layout.tsx create mode 100644 src/app/dashboard/page.tsx create mode 100644 src/app/dashboard/settings/page.tsx create mode 100644 src/app/data-deletion/page.tsx create mode 100644 src/app/login/page.tsx create mode 100644 src/app/privacy/page.tsx create mode 100644 src/app/setup/page.tsx create mode 100644 src/app/terms/page.tsx create mode 100644 src/components/dashboard/BudgetModal.tsx create mode 100644 src/components/dashboard/CampaignTable.tsx create mode 100644 src/components/dashboard/DateFilter.tsx create mode 100644 src/components/dashboard/MetricsCard.tsx create mode 100644 src/components/dashboard/Sidebar.tsx create mode 100644 src/components/public/AnimatedCounter.tsx create mode 100644 src/components/public/FloatingOrbs.tsx create mode 100644 src/components/public/HowItWorks.tsx create mode 100644 src/components/public/LegalPage.tsx create mode 100644 src/components/public/LiveChartMock.tsx create mode 100644 src/components/public/PublicFooter.tsx create mode 100644 src/components/public/PublicHeader.tsx create mode 100644 src/components/public/ScrollReveal.tsx create mode 100644 src/components/public/StatsStrip.tsx create mode 100644 src/components/theme/ThemeProvider.tsx create mode 100644 src/components/theme/ThemeToggle.tsx create mode 100644 src/components/ui/ErrorBlock.tsx create mode 100644 src/components/ui/Modal.tsx create mode 100644 src/components/ui/Spinner.tsx create mode 100644 src/config/skins/index.ts create mode 100644 src/lib/ai/analyzer.ts create mode 100644 src/lib/ai/client.ts create mode 100644 src/lib/ai/copywriter.ts create mode 100644 src/lib/ai/creative.ts create mode 100644 src/lib/ai/scraper.ts create mode 100644 src/lib/ai/strategist.ts create mode 100644 src/lib/auth/session.ts create mode 100644 src/lib/engine/monitor.ts create mode 100644 src/lib/engine/rules.ts create mode 100644 src/lib/errors.ts create mode 100644 src/lib/mcp/client.ts create mode 100644 src/lib/mcp/tools.ts create mode 100644 src/lib/meta/create.ts create mode 100644 src/lib/meta/targeting.ts create mode 100644 src/lib/meta/types.ts create mode 100644 src/lib/settings.ts create mode 100644 src/lib/supabase/server.ts create mode 100644 src/middleware.ts create mode 100644 supabase/migration.sql diff --git a/.claude/scheduled_tasks.lock b/.claude/scheduled_tasks.lock new file mode 100644 index 0000000..e02415e --- /dev/null +++ b/.claude/scheduled_tasks.lock @@ -0,0 +1 @@ +{"sessionId":"0c60e074-c6b2-4343-b24e-0fb9b7558d41","pid":2474,"procStart":"Sun Jun 7 11:38:33 2026","acquiredAt":1780834101623} \ No newline at end of file diff --git a/.gitignore b/.gitignore index 5ef6a52..2836c46 100644 --- a/.gitignore +++ b/.gitignore @@ -33,6 +33,12 @@ yarn-error.log* # env files (can opt-in for committing if needed) .env* +# runtime settings — contains real Meta App ID/Secret in plaintext +/settings.json + +# local scratch files +/Arquivo.zip + # vercel .vercel diff --git a/mcp-config.json b/mcp-config.json new file mode 100644 index 0000000..14c7171 --- /dev/null +++ b/mcp-config.json @@ -0,0 +1,12 @@ +{ + "mcpServers": { + "metaads-pro": { + "command": "node", + "args": ["./mcp-server/dist/index.js"], + "env": { + "META_ACCESS_TOKEN": "YOUR_LONG_LIVED_TOKEN", + "META_AD_ACCOUNT_ID": "act_XXXXXXXXX" + } + } + } +} diff --git a/mcp-server/index.ts b/mcp-server/index.ts new file mode 100644 index 0000000..e2b0f7f --- /dev/null +++ b/mcp-server/index.ts @@ -0,0 +1,243 @@ +#!/usr/bin/env node + +/** + * MetaAds Pro — MCP Server + * + * Exposes Meta Marketing API operations as MCP tools. + * Can be connected to Claude Desktop, Cursor, or any MCP client. + * + * Tools: + * - list_campaigns: Lists all active/paused campaigns + * - get_campaign_insights: Gets metrics for a specific campaign + * - get_account_overview: Gets account-level metrics summary + * - pause_campaign: Pauses a campaign + * - resume_campaign: Resumes a paused campaign + * - update_budget: Updates a campaign's daily budget + */ + +import { Server } from '@modelcontextprotocol/sdk/server/index.js'; +import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; +import { + CallToolRequestSchema, + ListToolsRequestSchema, +} from '@modelcontextprotocol/sdk/types.js'; + +// @ts-expect-error - CJS module +const bizSdk = await import('facebook-nodejs-business-sdk'); + +const accessToken = process.env.META_ACCESS_TOKEN; +const adAccountId = process.env.META_AD_ACCOUNT_ID; + +if (!accessToken || !adAccountId) { + console.error('Error: META_ACCESS_TOKEN and META_AD_ACCOUNT_ID must be set'); + process.exit(1); +} + +// Init Meta API +Object.defineProperty(bizSdk.default.FacebookAdsApi, 'VERSION', { get: () => 'v20.0' }); +bizSdk.default.FacebookAdsApi.init(accessToken); +const AdAccount = bizSdk.default.AdAccount; +const Campaign = bizSdk.default.Campaign; + +// ---- MCP Server ---- +const server = new Server( + { name: 'metaads-pro', version: '1.0.0' }, + { capabilities: { tools: {} } } +); + +// ---- Tool Definitions ---- +server.setRequestHandler(ListToolsRequestSchema, async () => ({ + tools: [ + { + name: 'list_campaigns', + description: 'Lista todas as campanhas ativas e pausadas da conta de anúncios do Meta/Facebook', + inputSchema: { + type: 'object' as const, + properties: {}, + required: [], + }, + }, + { + name: 'get_campaign_insights', + description: 'Busca métricas detalhadas (spend, CTR, CPC, CPM, leads, ROAS) de uma campanha específica', + inputSchema: { + type: 'object' as const, + properties: { + campaign_id: { type: 'string', description: 'ID da campanha' }, + date_preset: { + type: 'string', + enum: ['today', 'yesterday', 'last_7d', 'last_14d', 'last_30d', 'this_month', 'lifetime'], + description: 'Período de tempo (padrão: last_30d)', + }, + }, + required: ['campaign_id'], + }, + }, + { + name: 'get_account_overview', + description: 'Retorna um resumo geral da conta: gasto total, leads, ROAS, CTR, CPC, CPM', + inputSchema: { + type: 'object' as const, + properties: { + date_preset: { + type: 'string', + enum: ['today', 'yesterday', 'last_7d', 'last_14d', 'last_30d', 'this_month', 'lifetime'], + description: 'Período de tempo (padrão: last_30d)', + }, + }, + required: [], + }, + }, + { + name: 'pause_campaign', + description: 'Pausa uma campanha ativa', + inputSchema: { + type: 'object' as const, + properties: { + campaign_id: { type: 'string', description: 'ID da campanha para pausar' }, + }, + required: ['campaign_id'], + }, + }, + { + name: 'resume_campaign', + description: 'Reativa uma campanha pausada', + inputSchema: { + type: 'object' as const, + properties: { + campaign_id: { type: 'string', description: 'ID da campanha para reativar' }, + }, + required: ['campaign_id'], + }, + }, + { + name: 'update_budget', + description: 'Altera o orçamento diário de uma campanha (valor em reais)', + inputSchema: { + type: 'object' as const, + properties: { + campaign_id: { type: 'string', description: 'ID da campanha' }, + daily_budget_brl: { type: 'number', description: 'Novo orçamento diário em R$ (ex: 50.00)' }, + }, + required: ['campaign_id', 'daily_budget_brl'], + }, + }, + ], +})); + +// ---- Tool Handlers ---- +server.setRequestHandler(CallToolRequestSchema, async (request) => { + const { name, arguments: args } = request.params; + + try { + switch (name) { + case 'list_campaigns': { + const account = new AdAccount(adAccountId); + const campaigns = await account.getCampaigns( + ['id', 'name', 'status', 'objective', 'daily_budget', 'created_time'], + { limit: 100, filtering: [{ field: 'status', operator: 'IN', value: ['ACTIVE', 'PAUSED'] }] } + ); + const data = campaigns.map((c: Record) => ({ + id: c.id, + name: c.name, + status: c.status, + objective: c.objective, + daily_budget: `R$ ${(parseInt(String(c.daily_budget || '0'), 10) / 100).toFixed(2)}`, + })); + return { content: [{ type: 'text', text: JSON.stringify(data, null, 2) }] }; + } + + case 'get_campaign_insights': { + const { campaign_id, date_preset = 'last_30d' } = args as { campaign_id: string; date_preset?: string }; + const campaign = new Campaign(campaign_id); + const insights = await campaign.getInsights( + ['campaign_name', 'spend', 'ctr', 'cpc', 'cpm', 'impressions', 'clicks', 'actions', 'purchase_roas'], + { date_preset, limit: 1 } + ); + if (!insights || insights.length === 0) { + return { content: [{ type: 'text', text: 'Nenhum dado de insights encontrado para este período.' }] }; + } + const i = insights[0]; + const leads = i.actions?.find((a: { action_type: string }) => a.action_type === 'lead')?.value || '0'; + const roas = i.purchase_roas?.[0]?.value || '0'; + const summary = { + campaign: i.campaign_name, + spend: `R$ ${parseFloat(i.spend || '0').toFixed(2)}`, + impressions: parseInt(i.impressions || '0', 10), + clicks: parseInt(i.clicks || '0', 10), + ctr: `${parseFloat(i.ctr || '0').toFixed(2)}%`, + cpc: `R$ ${parseFloat(i.cpc || '0').toFixed(2)}`, + cpm: `R$ ${parseFloat(i.cpm || '0').toFixed(2)}`, + leads: parseInt(leads, 10), + roas: parseFloat(roas).toFixed(2) + 'x', + }; + return { content: [{ type: 'text', text: JSON.stringify(summary, null, 2) }] }; + } + + case 'get_account_overview': { + const { date_preset = 'last_30d' } = args as { date_preset?: string }; + const account = new AdAccount(adAccountId); + const insights = await account.getInsights( + ['spend', 'ctr', 'cpc', 'cpm', 'impressions', 'clicks', 'actions', 'purchase_roas'], + { date_preset, level: 'account', limit: 1 } + ); + if (!insights || insights.length === 0) { + return { content: [{ type: 'text', text: 'Nenhum dado disponível para este período.' }] }; + } + const i = insights[0]; + const leads = i.actions?.find((a: { action_type: string }) => a.action_type === 'lead')?.value || '0'; + const roas = i.purchase_roas?.[0]?.value || '0'; + const summary = { + total_spend: `R$ ${parseFloat(i.spend || '0').toFixed(2)}`, + impressions: parseInt(i.impressions || '0', 10), + clicks: parseInt(i.clicks || '0', 10), + ctr: `${parseFloat(i.ctr || '0').toFixed(2)}%`, + cpc: `R$ ${parseFloat(i.cpc || '0').toFixed(2)}`, + cpm: `R$ ${parseFloat(i.cpm || '0').toFixed(2)}`, + leads: parseInt(leads, 10), + roas: parseFloat(roas).toFixed(2) + 'x', + }; + return { content: [{ type: 'text', text: JSON.stringify(summary, null, 2) }] }; + } + + case 'pause_campaign': { + const { campaign_id } = args as { campaign_id: string }; + const campaign = new Campaign(campaign_id); + await campaign.update([], { [Campaign.Fields.status]: 'PAUSED' }); + return { content: [{ type: 'text', text: `✅ Campanha ${campaign_id} pausada com sucesso.` }] }; + } + + case 'resume_campaign': { + const { campaign_id } = args as { campaign_id: string }; + const campaign = new Campaign(campaign_id); + await campaign.update([], { [Campaign.Fields.status]: 'ACTIVE' }); + return { content: [{ type: 'text', text: `✅ Campanha ${campaign_id} reativada com sucesso.` }] }; + } + + case 'update_budget': { + const { campaign_id, daily_budget_brl } = args as { campaign_id: string; daily_budget_brl: number }; + const budgetCents = Math.round(daily_budget_brl * 100); + const campaign = new Campaign(campaign_id); + await campaign.update([], { [Campaign.Fields.daily_budget]: budgetCents }); + return { + content: [{ type: 'text', text: `✅ Orçamento da campanha ${campaign_id} atualizado para R$ ${daily_budget_brl.toFixed(2)}.` }], + }; + } + + default: + return { content: [{ type: 'text', text: `Tool "${name}" não encontrada.` }], isError: true }; + } + } catch (error) { + const msg = error instanceof Error ? error.message : 'Unknown error'; + return { content: [{ type: 'text', text: `❌ Erro: ${msg}` }], isError: true }; + } +}); + +// ---- Start Server ---- +async function main() { + const transport = new StdioServerTransport(); + await server.connect(transport); + console.error('MetaAds Pro MCP Server running on stdio'); +} + +main().catch(console.error); diff --git a/mcp-server/package.json b/mcp-server/package.json new file mode 100644 index 0000000..3ca71ad --- /dev/null +++ b/mcp-server/package.json @@ -0,0 +1,19 @@ +{ + "name": "metaads-pro-mcp", + "version": "1.0.0", + "description": "MCP Server for Meta Ads Management", + "type": "module", + "main": "index.js", + "scripts": { + "build": "tsc", + "start": "node dist/index.js" + }, + "dependencies": { + "@modelcontextprotocol/sdk": "^1.0.0", + "facebook-nodejs-business-sdk": "^24.0.1" + }, + "devDependencies": { + "typescript": "^5.0.0", + "@types/node": "^20.0.0" + } +} diff --git a/mcp-server/tsconfig.json b/mcp-server/tsconfig.json new file mode 100644 index 0000000..6ae5f31 --- /dev/null +++ b/mcp-server/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "ES2020", + "moduleResolution": "node", + "outDir": "./dist", + "rootDir": ".", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "declaration": true, + "resolveJsonModule": true + }, + "include": ["*.ts"], + "exclude": ["node_modules", "dist"] +} diff --git a/n8n-workflow.json b/n8n-workflow.json new file mode 100644 index 0000000..18292e9 --- /dev/null +++ b/n8n-workflow.json @@ -0,0 +1,93 @@ +{ + "name": "Gerador de Imagens (GPT-Image-2)", + "nodes": [ + { + "parameters": { + "httpMethod": "POST", + "path": "generate-ad-image", + "responseMode": "lastNode", + "options": {} + }, + "id": "webhook-node-1", + "name": "Webhook", + "type": "n8n-nodes-base.webhook", + "typeVersion": 1, + "position": [ + 250, + 300 + ], + "webhookId": "ad-image-generator" + }, + { + "parameters": { + "method": "POST", + "url": "https://api.openai.com/v1/images/generations", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "Authorization", + "value": "Bearer sk-proj-COLOQUE_SUA_CHAVE_AQUI" + }, + { + "name": "Content-Type", + "value": "application/json" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={\n \"model\": \"gpt-image-2\",\n \"prompt\": \"{{ $json.body.prompt }}\",\n \"n\": 1,\n \"size\": \"{{ $json.body.dimensions || '1024x1024' }}\"\n}", + "options": { + "timeout": 120000 + } + }, + "id": "http-request-1", + "name": "OpenAI - Generate Image", + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.1, + "position": [ + 450, + 300 + ] + }, + { + "parameters": { + "jsCode": "const response = $input.first().json;\n\n// Pega a URL ou o Base64 gerado pela OpenAI\nlet imageUrl = response.data?.[0]?.url;\nif (!imageUrl && response.data?.[0]?.b64_json) {\n imageUrl = `data:image/png;base64,${response.data[0].b64_json}`;\n}\n\n// Devolve o JSON no formato que o Next.js espera\nreturn {\n url: imageUrl,\n revised_prompt: response.data?.[0]?.revised_prompt || \"\"\n};" + }, + "id": "code-node-1", + "name": "Format Output", + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 650, + 300 + ] + } + ], + "connections": { + "Webhook": { + "main": [ + [ + { + "node": "OpenAI - Generate Image", + "type": "main", + "index": 0 + } + ] + ] + }, + "OpenAI - Generate Image": { + "main": [ + [ + { + "node": "Format Output", + "type": "main", + "index": 0 + } + ] + ] + } + }, + "settings": {} +} diff --git a/package-lock.json b/package-lock.json index e618a2e..b51cebb 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,9 +8,19 @@ "name": "metaads-pro", "version": "0.1.0", "dependencies": { + "@modelcontextprotocol/sdk": "^1.29.0", + "@supabase/supabase-js": "^2.107.0", + "cheerio": "^1.2.0", + "date-fns": "^4.1.0", + "framer-motion": "^12.40.0", + "lucide-react": "^1.14.0", "next": "16.2.6", + "openai": "^6.37.0", "react": "19.2.4", - "react-dom": "19.2.4" + "react-dom": "19.2.4", + "react-markdown": "^10.1.0", + "recharts": "^3.8.1", + "remark-gfm": "^4.0.1" }, "devDependencies": { "@tailwindcss/postcss": "^4", @@ -453,6 +463,18 @@ "node": "^18.18.0 || ^20.9.0 || >=21.1.0" } }, + "node_modules/@hono/node-server": { + "version": "1.19.14", + "resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.19.14.tgz", + "integrity": "sha512-GwtvgtXxnWsucXvbQXkRgqksiH2Qed37H9xHZocE5sA3N8O8O8/8FA3uclQXxXVzc9XBZuEOMK7+r02FmSpHtw==", + "license": "MIT", + "engines": { + "node": ">=18.14.1" + }, + "peerDependencies": { + "hono": "^4" + } + }, "node_modules/@humanfs/core": { "version": "0.19.2", "resolved": "https://registry.npmjs.org/@humanfs/core/-/core-0.19.2.tgz", @@ -1035,6 +1057,68 @@ "@jridgewell/sourcemap-codec": "^1.4.14" } }, + "node_modules/@modelcontextprotocol/sdk": { + "version": "1.29.0", + "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.29.0.tgz", + "integrity": "sha512-zo37mZA9hJWpULgkRpowewez1y6ML5GsXJPY8FI0tBBCd77HEvza4jDqRKOXgHNn867PVGCyTdzqpz0izu5ZjQ==", + "license": "MIT", + "dependencies": { + "@hono/node-server": 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"license": "MIT", + "dependencies": { + "iconv-lite": "0.6.3" + }, + "engines": { + "node": ">=18" + } + }, + "node_modules/whatwg-encoding/node_modules/iconv-lite": { + "version": "0.6.3", + "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.6.3.tgz", + "integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==", + "license": "MIT", + "dependencies": { + "safer-buffer": ">= 2.1.2 < 3.0.0" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/whatwg-mimetype": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-4.0.0.tgz", + "integrity": "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg==", + "license": "MIT", + "engines": { + "node": ">=18" + } + }, "node_modules/which": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", "integrity": 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"https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz", + "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==", + "license": "ISC", + "peerDependencies": { + "zod": "^3.25.28 || ^4" + } + }, "node_modules/zod-validation-error": { "version": "4.0.2", "resolved": "https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz", @@ -6580,6 +9751,16 @@ "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } + }, + "node_modules/zwitch": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/package.json b/package.json index 453476a..a26f9d4 100644 --- a/package.json +++ b/package.json @@ -9,9 +9,19 @@ "lint": "eslint" }, "dependencies": { + "@modelcontextprotocol/sdk": "^1.29.0", + "@supabase/supabase-js": "^2.107.0", + "cheerio": "^1.2.0", + "date-fns": "^4.1.0", + "framer-motion": "^12.40.0", + "lucide-react": "^1.14.0", "next": "16.2.6", + "openai": "^6.37.0", "react": "19.2.4", - "react-dom": "19.2.4" + "react-dom": "19.2.4", + "react-markdown": "^10.1.0", + "recharts": "^3.8.1", + "remark-gfm": "^4.0.1" }, "devDependencies": { "@tailwindcss/postcss": "^4", diff --git a/src/app/api/ai/analyze-link/route.ts b/src/app/api/ai/analyze-link/route.ts new file mode 100644 index 0000000..2a7489d --- /dev/null +++ b/src/app/api/ai/analyze-link/route.ts @@ -0,0 +1,29 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { analyzeProject } from '@/lib/ai/analyzer'; + +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + const { link, description } = body; + + if (!link && !description) { + return NextResponse.json( + { success: false, error: 'Informe o link do projeto ou descreva seu produto/negócio para analisar.' }, + { status: 400 } + ); + } + + const analysis = await analyzeProject({ link, description }); + + return NextResponse.json({ success: true, data: analysis }); + } catch (error) { + console.error('[AI] Error analyzing project link:', error); + return NextResponse.json( + { + success: false, + error: error instanceof Error ? error.message : 'Erro ao analisar o link.', + }, + { status: 500 } + ); + } +} diff --git a/src/app/api/ai/generate-audience/route.ts b/src/app/api/ai/generate-audience/route.ts new file mode 100644 index 0000000..e0fe380 --- /dev/null +++ b/src/app/api/ai/generate-audience/route.ts @@ -0,0 +1,29 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { generateAudienceSuggestion } from '@/lib/ai/copywriter'; + +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + const { context, link, category } = body; + + if (!context && !link) { + return NextResponse.json( + { success: false, error: 'É necessário preencher os campos do formulário ou o Link.' }, + { status: 400 } + ); + } + + const suggestion = await generateAudienceSuggestion(context, link, category); + + return NextResponse.json({ success: true, data: suggestion }); + } catch (error) { + console.error('[AI] Error generating audience:', error); + return NextResponse.json( + { + success: false, + error: error instanceof Error ? error.message : 'AI error', + }, + { status: 500 } + ); + } +} diff --git a/src/app/api/ai/generate-copy/route.ts b/src/app/api/ai/generate-copy/route.ts new file mode 100644 index 0000000..93f3ae8 --- /dev/null +++ b/src/app/api/ai/generate-copy/route.ts @@ -0,0 +1,30 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { generateAdCopy } from '@/lib/ai/copywriter'; + +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + const { context, copy_rules, objective, tone, count, category } = body; + + if (!context || !objective) { + return NextResponse.json( + { success: false, error: 'context and objective are required' }, + { status: 400 } + ); + } + + const variations = await generateAdCopy({ context, copy_rules, objective, tone, count, category }); + + return NextResponse.json({ success: true, data: variations }); + } catch (error) { + console.error('[AI] Error generating copy:', error); + return NextResponse.json( + { + success: false, + error: error instanceof Error ? error.message : 'AI error', + details: 'Verifique se a OPENAI_API_KEY no .env.local é uma chave válida da OpenAI (começa com sk-...)' + }, + { status: 500 } + ); + } +} diff --git a/src/app/api/ai/generate-image/route.ts b/src/app/api/ai/generate-image/route.ts new file mode 100644 index 0000000..98ee044 --- /dev/null +++ b/src/app/api/ai/generate-image/route.ts @@ -0,0 +1,41 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { generateAdImage } from '@/lib/ai/creative'; + +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + const { context, style, dimensions, mood } = body; + + if (!context || !style) { + return NextResponse.json( + { success: false, error: 'context and style are required' }, + { status: 400 } + ); + } + + const dimensionsList: ('1080x1080' | '1080x1920' | '1200x628')[] = [ + '1080x1080', + '1080x1920', + '1200x628' + ]; + + const imagePromises = dimensionsList.map((dim) => + generateAdImage({ + context, + style, + dimensions: dim, + mood, + }) + ); + + const images = await Promise.all(imagePromises); + + return NextResponse.json({ success: true, data: images }); + } catch (error) { + console.error('[AI] Error generating image:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'AI error' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/analysis/chat/route.ts b/src/app/api/analysis/chat/route.ts new file mode 100644 index 0000000..627b4dc --- /dev/null +++ b/src/app/api/analysis/chat/route.ts @@ -0,0 +1,53 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { getAIClient } from '@/lib/ai/client'; +import { getAccessToken } from '@/lib/auth/session'; + +const CHAT_MODEL = 'gpt-5.4-mini'; + +export async function POST(request: NextRequest) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const { messages, campaignName, reportContext } = await request.json(); + + if (!messages || !Array.isArray(messages)) { + return NextResponse.json({ success: false, error: 'Messages required' }, { status: 400 }); + } + + const openai = getAIClient(); + + const systemPrompt = `Você é um Consultor Sênior de Tráfego Pago conversando com o usuário sobre a campanha: "${campaignName || 'Campanha Desconhecida'}". +Sua missão é responder dúvidas técnicas do usuário sobre essa campanha, dar ideias de copy, explicar métricas e sugerir otimizações de forma amigável, direta e profissional. Use formatação Markdown (negrito, listas, etc) para deixar a resposta legível e bem estruturada. + +[CONTEXTO/RELATÓRIO DA CAMPANHA] +${JSON.stringify(reportContext, null, 2)}`; + + const chatMessages = [ + { role: 'system' as const, content: systemPrompt }, + ...messages.map((msg: any) => ({ + role: msg.role === 'user' ? ('user' as const) : ('assistant' as const), + content: msg.content, + })), + ]; + + const completion = await openai.chat.completions.create({ + model: CHAT_MODEL, + messages: chatMessages, + }); + + return NextResponse.json({ + success: true, + data: { reply: completion.choices[0]?.message?.content || '' } + }); + + } catch (error) { + console.error('[Chat API] Error:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Unknown error' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/analysis/route.ts b/src/app/api/analysis/route.ts new file mode 100644 index 0000000..706d05f --- /dev/null +++ b/src/app/api/analysis/route.ts @@ -0,0 +1,144 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { getCampaignDetails } from '@/lib/mcp/tools'; +import { getAccessToken } from '@/lib/auth/session'; +import { getAIClient } from '@/lib/ai/client'; + +const ANALYSIS_MODEL = 'gpt-5.4-mini'; + +export async function POST(request: NextRequest) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const { campaignId } = await request.json(); + if (!campaignId) { + return NextResponse.json({ success: false, error: 'Campaign ID required' }, { status: 400 }); + } + + const client = await createMetaMCPClient(token); + let campaignData: any; + + try { + const result = await getCampaignDetails(client, campaignId); + campaignData = Array.isArray(result) ? result[0] : result; + } finally { + await client.close(); + } + + if (!campaignData || !campaignData.id) { + return NextResponse.json({ success: false, error: 'Campaign not found on Meta' }, { status: 404 }); + } + + // Prepare data for the AI model + const insights = campaignData.insights?.data?.[0] || {}; + const adsets = campaignData.adsets?.data || []; + + let totalSpend = parseFloat(insights.spend || '0'); + let roas = parseFloat(insights.purchase_roas?.[0]?.value || '0'); + + // Extract Ads & Creatives + const adsToAnalyze = []; + for (const adset of adsets) { + const ads = adset.ads?.data || []; + for (const ad of ads) { + const adInsights = ad.insights?.data?.[0] || {}; + const creative = ad.creative || {}; + + // Extract texts + let body = creative.body || ''; + let title = creative.title || ''; + let imageUrl = creative.image_url || creative.thumbnail_url || ''; + + // Handle asset_feed_spec (Dynamic Creative) + if (creative.asset_feed_spec) { + const feed = creative.asset_feed_spec; + body = feed.bodies?.map((b: any) => b.text).join(' | ') || body; + title = feed.titles?.map((t: any) => t.text).join(' | ') || title; + if (feed.images && feed.images.length > 0) { + imageUrl = feed.images[0].url || feed.images[0].thumbnail_url || imageUrl; // Just take the first image for now + } + } + + adsToAnalyze.push({ + ad_name: ad.name, + spend: adInsights.spend || '0', + roas: adInsights.purchase_roas?.[0]?.value || '0', + cpc: adInsights.cpc || '0', + ctr: adInsights.ctr || '0', + body, + title, + image_url: imageUrl, + }); + } + } + + const openai = getAIClient(); + + const prompt = ` +Você é um Especialista Sênior em Tráfego Pago e Copywriting. +Abaixo estão os dados reais extraídos de uma Campanha no Facebook Ads. +Por favor, faça uma auditoria completa. + +DADOS DA CAMPANHA: +Nome: ${campaignData.name} +Gasto Total (30d): R$ ${totalSpend} +ROAS Total: ${roas} + +ANÚNCIOS ATIVOS (CRIATIVOS E MÉTRICAS): +${JSON.stringify(adsToAnalyze, null, 2)} + +Sua tarefa é retornar um JSON ESTRITAMENTE VÁLIDO com a seguinte estrutura de análise (NÃO adicione formatação markdown \`\`\`json no início ou no fim). +Importante: Para as análises e ações, retorne um ARRAY de strings (cada string é um bullet point claro, curto e direto). +{ + "diagnostico_geral": "Um parágrafo forte resumindo a saúde da campanha.", + "analise_copy": ["Ponto 1 sobre a copy...", "Sugestão de melhoria de texto..."], + "analise_imagem": ["O que achei do visual...", "Ideia de novo formato (vídeo/carrossel)..."], + "analise_metricas": ["ROAS está X...", "CPA está Y..."], + "acao_recomendada": ["Ação imediata 1 (ex: Pausar Ad X)...", "Ação 2 (ex: Testar público Y)..."], + "nova_estrategia_sugerida": { + "nicho_sugerido": "ex: ecommerce, info_produto, negocios_locais, advogado...", + "produto_foco": "Nome ou tipo do produto que deve ser focado na próxima campanha", + "publico_alvo": "Qual deve ser o público alvo ideal", + "angulos_de_venda": ["Ângulo 1", "Ângulo 2"] + } +} + `; + + const completion = await openai.chat.completions.create({ + model: ANALYSIS_MODEL, + messages: [{ role: 'user', content: prompt }], + response_format: { type: 'json_object' }, + }); + const textRes = completion.choices[0]?.message?.content || ''; + let jsonRes; + + try { + // Clean up markdown fences if model ignored instruction + const cleanedText = textRes.replace(/^```json/m, '').replace(/```$/m, '').trim(); + jsonRes = JSON.parse(cleanedText); + } catch (e) { + console.error('Failed to parse AI response:', textRes); + return NextResponse.json({ success: false, error: 'Failed to parse AI response' }, { status: 500 }); + } + + return NextResponse.json({ + success: true, + data: { + campaign_metrics: { spend: totalSpend, roas }, + ads_count: adsToAnalyze.length, + ads: adsToAnalyze, + analysis: jsonRes + } + }); + + } catch (error) { + console.error('[Analysis] API Error:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Unknown error' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/auth/callback/route.ts b/src/app/api/auth/callback/route.ts new file mode 100644 index 0000000..33620dc --- /dev/null +++ b/src/app/api/auth/callback/route.ts @@ -0,0 +1,81 @@ +// ============================================ +// OAuth — Callback (exchange code for token) +// ============================================ + +import { NextRequest, NextResponse } from 'next/server'; +import { cookies } from 'next/headers'; +import { setSessionCookies } from '@/lib/auth/session'; +import { getSettings } from '@/lib/settings'; + +export async function GET(request: NextRequest) { + const code = request.nextUrl.searchParams.get('code'); + const error = request.nextUrl.searchParams.get('error'); + + if (error || !code) { + const errorDesc = request.nextUrl.searchParams.get('error_description') || 'Login cancelled'; + return NextResponse.redirect( + new URL(`/login?error=${encodeURIComponent(errorDesc)}`, request.url) + ); + } + + const settings = getSettings(); + const appId = settings.metaAppId || process.env.META_APP_ID; + const appSecret = settings.metaAppSecret || process.env.META_APP_SECRET; + const redirectUri = process.env.META_REDIRECT_URI || 'http://localhost:3000/api/auth/callback'; + + if (!appId || !appSecret) { + return NextResponse.redirect( + new URL(`/login?error=${encodeURIComponent('Credenciais Meta não configuradas no sistema.')}`, request.url) + ); + } + + try { + // 1. Exchange code for short-lived token + const tokenUrl = new URL('https://graph.facebook.com/v20.0/oauth/access_token'); + tokenUrl.searchParams.set('client_id', appId); + tokenUrl.searchParams.set('client_secret', appSecret); + tokenUrl.searchParams.set('redirect_uri', redirectUri); + tokenUrl.searchParams.set('code', code); + + const tokenRes = await fetch(tokenUrl.toString()); + const tokenData = await tokenRes.json(); + + if (tokenData.error) { + throw new Error(tokenData.error.message); + } + + const shortToken = tokenData.access_token; + + // 2. Exchange for long-lived token (60 days) + const longTokenUrl = new URL('https://graph.facebook.com/v20.0/oauth/access_token'); + longTokenUrl.searchParams.set('grant_type', 'fb_exchange_token'); + longTokenUrl.searchParams.set('client_id', appId); + longTokenUrl.searchParams.set('client_secret', appSecret); + longTokenUrl.searchParams.set('fb_exchange_token', shortToken); + + const longRes = await fetch(longTokenUrl.toString()); + const longData = await longRes.json(); + const accessToken = longData.access_token || shortToken; + + // 3. Get user info + const meRes = await fetch( + `https://graph.facebook.com/v20.0/me?fields=name,picture.type(large)&access_token=${accessToken}` + ); + const meData = await meRes.json(); + + // 4. Save session + const cookieStore = await cookies(); + setSessionCookies(cookieStore, accessToken, { + name: meData.name || 'User', + picture: meData.picture?.data?.url || '', + }); + + // 5. Redirect to dashboard + return NextResponse.redirect(new URL('/dashboard', request.url)); + } catch (err) { + console.error('[Auth] OAuth error:', err); + return NextResponse.redirect( + new URL(`/login?error=${encodeURIComponent('Erro na autenticação')}`, request.url) + ); + } +} diff --git a/src/app/api/auth/logout/route.ts b/src/app/api/auth/logout/route.ts new file mode 100644 index 0000000..e32f642 --- /dev/null +++ b/src/app/api/auth/logout/route.ts @@ -0,0 +1,13 @@ +// ============================================ +// Auth — Logout +// ============================================ + +import { NextRequest, NextResponse } from 'next/server'; +import { cookies } from 'next/headers'; +import { clearSessionCookies } from '@/lib/auth/session'; + +export async function POST(request: NextRequest) { + const cookieStore = await cookies(); + clearSessionCookies(cookieStore); + return NextResponse.redirect(new URL('/login', request.url)); +} diff --git a/src/app/api/auth/meta/route.ts b/src/app/api/auth/meta/route.ts new file mode 100644 index 0000000..2664064 --- /dev/null +++ b/src/app/api/auth/meta/route.ts @@ -0,0 +1,37 @@ +// ============================================ +// OAuth — Redirect to Meta Login +// ============================================ + +import { NextResponse } from 'next/server'; +import { getSettings } from '@/lib/settings'; + +export async function GET() { + const settings = getSettings(); + const appId = settings.metaAppId || process.env.META_APP_ID; + const redirectUri = process.env.META_REDIRECT_URI || 'http://localhost:3000/api/auth/callback'; + + if (!appId || appId === 'your_meta_app_id') { + return NextResponse.json( + { error: 'App ID não configurado. Acesse a tela de login e clique em Configurar.' }, + { status: 500 } + ); + } + + const scopes = [ + 'ads_management', + 'ads_read', + 'business_management', + 'pages_show_list', + 'pages_read_engagement', + 'instagram_basic', + ].join(','); + + const authUrl = new URL('https://www.facebook.com/v20.0/dialog/oauth'); + authUrl.searchParams.set('client_id', appId); + authUrl.searchParams.set('redirect_uri', redirectUri); + authUrl.searchParams.set('scope', scopes); + authUrl.searchParams.set('response_type', 'code'); + authUrl.searchParams.set('state', crypto.randomUUID()); + + return NextResponse.redirect(authUrl.toString()); +} diff --git a/src/app/api/campaigns/[id]/budget/route.ts b/src/app/api/campaigns/[id]/budget/route.ts new file mode 100644 index 0000000..78a1ad0 --- /dev/null +++ b/src/app/api/campaigns/[id]/budget/route.ts @@ -0,0 +1,45 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { updateCampaignBudget } from '@/lib/mcp/tools'; +import { getAccessToken } from '@/lib/auth/session'; + +export async function PATCH( + request: NextRequest, + { params }: { params: Promise<{ id: string }> } +) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const { id } = await params; + const body = await request.json(); + const { daily_budget } = body; + + if (!daily_budget || typeof daily_budget !== 'number' || daily_budget <= 0) { + return NextResponse.json( + { success: false, error: 'Invalid budget. Must be a positive number in cents.' }, + { status: 400 } + ); + } + + const client = await createMetaMCPClient(token); + + try { + await updateCampaignBudget(client, id, daily_budget); + return NextResponse.json({ + success: true, + data: { campaignId: id, daily_budget }, + }); + } finally { + await client.close(); + } + } catch (error) { + console.error('[API] Error updating campaign budget:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Failed to update budget' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/campaigns/[id]/status/route.ts b/src/app/api/campaigns/[id]/status/route.ts new file mode 100644 index 0000000..b53142c --- /dev/null +++ b/src/app/api/campaigns/[id]/status/route.ts @@ -0,0 +1,50 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { pauseCampaign, resumeCampaign } from '@/lib/mcp/tools'; +import { getAccessToken } from '@/lib/auth/session'; + +export async function PATCH( + request: NextRequest, + { params }: { params: Promise<{ id: string }> } +) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const { id } = await params; + const body = await request.json(); + const { status } = body; + + if (!status || !['ACTIVE', 'PAUSED'].includes(status)) { + return NextResponse.json( + { success: false, error: 'Invalid status. Must be ACTIVE or PAUSED.' }, + { status: 400 } + ); + } + + const client = await createMetaMCPClient(token); + + try { + if (status === 'PAUSED') { + await pauseCampaign(client, id); + } else { + await resumeCampaign(client, id); + } + + return NextResponse.json({ + success: true, + data: { campaignId: id, status }, + }); + } finally { + await client.close(); + } + } catch (error) { + console.error('[API] Error updating campaign status:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Failed to update status' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/campaigns/create/route.ts b/src/app/api/campaigns/create/route.ts new file mode 100644 index 0000000..c81f9c9 --- /dev/null +++ b/src/app/api/campaigns/create/route.ts @@ -0,0 +1,270 @@ +import { NextResponse } from 'next/server'; +import { cookies } from 'next/headers'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { createFullCampaign, getPages } from '@/lib/mcp/tools'; + +function toNumberOrUndefined(value: unknown): number | undefined { + if (value === undefined || value === null || value === '') return undefined; + + const numberValue = Number(value); + + if (!Number.isFinite(numberValue)) { + return undefined; + } + + return numberValue; +} + +function normalizeMoneyInCents(value: unknown, fallback: number): number { + const numberValue = toNumberOrUndefined(value); + + if (numberValue === undefined) { + return fallback; + } + + if (numberValue > 0 && numberValue < 100) { + throw new Error( + `Valor de orçamento/bid inválido: ${numberValue}. Envie em centavos. Exemplo: R$20,00 = 2000.` + ); + } + + return Math.round(numberValue); +} + +function getFirstPageIdFromPages(pages: unknown): string | undefined { + if (!Array.isArray(pages)) return undefined; + + const firstPage = pages.find((page: any) => page?.id); + + return firstPage?.id; +} + +function isWhatsappCampaign(body: Record) { + const cta = String(body.cta || '').toUpperCase(); + const destinationType = String(body.destination_type || '').toUpperCase(); + + return ( + body.is_whatsapp === true || + destinationType === 'WHATSAPP' || + cta === 'WHATSAPP_MESSAGE' || + Boolean(body.whatsapp_link) || + Boolean(body.whatsapp_phone_number) + ); +} + +export async function POST(req: Request) { + let mcpClient: Awaited> | undefined; + + try { + const cookieStore = await cookies(); + const token = cookieStore.get('meta_access_token')?.value; + + if (!token) { + return NextResponse.json( + { + success: false, + error: 'Unauthorized: meta_access_token cookie não encontrado.', + }, + { status: 401 } + ); + } + + const body = await req.json(); + + const { + campaign_name, + objective, + daily_budget, + bid_strategy, + bid_amount, + targeting, + page_id, + instagram_actor_id, + image_urls, + image_bytes, + link, + headline, + primary_text, + description, + cta, + ad_account_id, + optimization_goal, + billing_event, + destination_type, + promoted_object, + whatsapp_link, + whatsapp_phone_number, + } = body; + + if (!campaign_name) { + return NextResponse.json( + { success: false, error: 'campaign_name é obrigatório.' }, + { status: 400 } + ); + } + + if (!link && !whatsapp_link && !whatsapp_phone_number) { + return NextResponse.json( + { + success: false, + error: 'link, whatsapp_link ou whatsapp_phone_number é obrigatório.', + }, + { status: 400 } + ); + } + + if (!headline) { + return NextResponse.json( + { success: false, error: 'headline é obrigatório.' }, + { status: 400 } + ); + } + + if (!primary_text) { + return NextResponse.json( + { success: false, error: 'primary_text é obrigatório.' }, + { status: 400 } + ); + } + + const hasUrls = Array.isArray(image_urls) && image_urls.length > 0; + const hasBytes = Array.isArray(image_bytes) && image_bytes.length > 0; + + if (!hasUrls && !hasBytes) { + return NextResponse.json( + { + success: false, + error: 'image_urls ou image_bytes (array) é obrigatório.', + }, + { status: 400 } + ); + } + + mcpClient = await createMetaMCPClient(token); + + let finalPageId = page_id; + + if (!finalPageId || finalPageId === '123456789') { + const pages = await getPages(mcpClient); + finalPageId = getFirstPageIdFromPages(pages); + } + + if (!finalPageId) { + return NextResponse.json( + { + success: false, + error: + 'Nenhuma página Meta encontrada. Envie page_id manualmente ou conecte uma página ao token.', + }, + { status: 400 } + ); + } + + const finalObjective = objective || 'OUTCOME_TRAFFIC'; + const finalIsWhatsapp = isWhatsappCampaign(body); + + const finalDailyBudget = normalizeMoneyInCents(daily_budget, 5000); + const finalBidAmount = toNumberOrUndefined(bid_amount); + + if (bid_strategy === 'LOWEST_COST_WITH_BID_CAP' && !finalBidAmount) { + return NextResponse.json( + { + success: false, + error: + 'bid_amount é obrigatório quando bid_strategy = LOWEST_COST_WITH_BID_CAP. Envie em centavos. Exemplo: R$10,00 = 1000.', + }, + { status: 400 } + ); + } + + if (finalBidAmount !== undefined && finalBidAmount > 0 && finalBidAmount < 100) { + return NextResponse.json( + { + success: false, + error: + 'bid_amount deve ser enviado em centavos. Exemplo: R$10,00 = 1000, não 10.', + }, + { status: 400 } + ); + } + + if (bid_strategy === 'BID_CAP') { + if (!finalBidAmount || finalBidAmount <= 0) { + return NextResponse.json( + { error: 'Você selecionou a estratégia de "Bid Cap", mas não informou o valor do lance (Bid). Por favor, volte e defina o valor do Bid Cap ou mude para "Volume Máximo".' }, + { status: 400 } + ); + } + } + const { pixel_id } = body; + + let finalOptimizationGoal = optimization_goal; + let finalPromotedObject = promoted_object; + + if (finalObjective === 'OUTCOME_SALES' && pixel_id) { + finalOptimizationGoal = 'OFFSITE_CONVERSIONS'; + finalPromotedObject = { + pixel_id: pixel_id, + custom_event_type: 'PURCHASE', + }; + } + + const result = await createFullCampaign(mcpClient, { + campaign_name, + objective: finalObjective, + daily_budget: finalDailyBudget, + bid_strategy: bid_strategy === 'BID_CAP' ? 'LOWEST_COST_WITH_BID_CAP' : 'LOWEST_COST_WITHOUT_CAP', + bid_amount: bid_amount, + targeting: { + ...(targeting || { + geo_locations: { + countries: ['BR'], + }, + }), + targeting_automation: { + advantage_audience: 0, + }, + }, + page_id: finalPageId, + instagram_actor_id: instagram_actor_id || undefined, + image_urls, + image_bytes, + link, + headline, + primary_text, + description: description || '', + cta: cta || (finalIsWhatsapp ? 'WHATSAPP_MESSAGE' : 'LEARN_MORE'), + ad_account_id, + optimization_goal: finalOptimizationGoal, + billing_event, + destination_type: destination_type || (finalIsWhatsapp ? 'WHATSAPP' : undefined), + promoted_object: finalPromotedObject, + is_whatsapp: finalIsWhatsapp, + whatsapp_link, + whatsapp_phone_number, + }); + + return NextResponse.json({ + success: true, + data: result, + }); + } catch (error: any) { + console.error('Create Campaign API Error:', error); + + return NextResponse.json( + { + success: false, + error: error?.message || 'Internal Server Error', + details: { + message: error?.message, + stack: process.env.NODE_ENV === 'development' ? error?.stack : undefined, + }, + }, + { status: 500 } + ); + } finally { + if (mcpClient) { + await mcpClient.close(); + } + } +} \ No newline at end of file diff --git a/src/app/api/campaigns/draft/[id]/route.ts b/src/app/api/campaigns/draft/[id]/route.ts new file mode 100644 index 0000000..1790d5a --- /dev/null +++ b/src/app/api/campaigns/draft/[id]/route.ts @@ -0,0 +1,24 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { getSupabaseServerClient } from '@/lib/supabase/server'; + +export async function GET(_request: NextRequest, { params }: { params: Promise<{ id: string }> }) { + try { + const { id } = await params; + const supabase = getSupabaseServerClient(); + + const { data, error } = await supabase + .from('agent_campaigns') + .select('*') + .eq('id', id) + .single(); + + if (error) throw error; + return NextResponse.json({ success: true, data }); + } catch (error) { + console.error('[Campaigns] Error fetching draft:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Erro ao buscar campanha salva.' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/campaigns/draft/route.ts b/src/app/api/campaigns/draft/route.ts new file mode 100644 index 0000000..cc330f9 --- /dev/null +++ b/src/app/api/campaigns/draft/route.ts @@ -0,0 +1,93 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { getSupabaseServerClient } from '@/lib/supabase/server'; + +const ALLOWED_FIELDS = [ + 'product', + 'audience', + 'objective', + 'budget_daily', + 'copy_variations', + 'image_urls', + 'targeting', + 'config', + 'status', + 'meta_campaign_id', + 'meta_adset_id', + 'meta_creative_id', + 'meta_ad_id', + 'approved_at', +] as const; + +function pickAllowedFields(body: Record) { + const data: Record = {}; + for (const field of ALLOWED_FIELDS) { + if (body[field] !== undefined) data[field] = body[field]; + } + return data; +} + +// Saves or updates a campaign draft so generated copy/images survive errors +// during publish (Meta API failures, etc.) without needing to regenerate. +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + const { id } = body; + + const supabase = getSupabaseServerClient(); + const data = pickAllowedFields(body); + + if (id) { + const { data: row, error } = await supabase + .from('agent_campaigns') + .update(data as never) + .eq('id', id) + .select() + .single(); + + if (error) throw error; + return NextResponse.json({ success: true, data: row }); + } + + if (!data.product) { + return NextResponse.json( + { success: false, error: 'product é obrigatório para salvar o rascunho.' }, + { status: 400 } + ); + } + + const { data: row, error } = await supabase + .from('agent_campaigns') + .insert({ ...data, status: data.status || 'draft' } as never) + .select() + .single(); + + if (error) throw error; + return NextResponse.json({ success: true, data: row }); + } catch (error) { + console.error('[Campaigns] Error saving draft:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Erro ao salvar rascunho da campanha.' }, + { status: 500 } + ); + } +} + +export async function GET(request: NextRequest) { + try { + const supabase = getSupabaseServerClient(); + const { data, error } = await supabase + .from('agent_campaigns') + .select('*') + .order('created_at', { ascending: false }) + .limit(50); + + if (error) throw error; + return NextResponse.json({ success: true, data }); + } catch (error) { + console.error('[Campaigns] Error listing drafts:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Erro ao listar campanhas salvas.' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/campaigns/insights/route.ts b/src/app/api/campaigns/insights/route.ts new file mode 100644 index 0000000..157879b --- /dev/null +++ b/src/app/api/campaigns/insights/route.ts @@ -0,0 +1,53 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { getAccountInsights } from '@/lib/mcp/tools'; +import { getAccessToken } from '@/lib/auth/session'; + +export async function GET(request: NextRequest) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const searchParams = request.nextUrl.searchParams; + const datePreset = searchParams.get('date_preset') || 'last_30d'; + + const client = await createMetaMCPClient(token); + + try { + const rawOverview: any = await getAccountInsights(client, datePreset); + + // Calculate total leads from actions + const actions = rawOverview?.actions || []; + const totalLeads = actions.find((a: any) => a.action_type === 'lead')?.value || 0; + + const purchaseValue = actions.find((a: any) => a.action_type === 'omni_purchase')?.value || 0; + const spend = parseFloat(rawOverview?.spend || '0'); + const roas = spend > 0 && purchaseValue ? (parseFloat(purchaseValue) / spend) : 0; + + // Map to expected AccountOverview structure + const overview = { + total_spend: spend, + total_leads: parseInt(totalLeads, 10), + total_clicks: parseInt(rawOverview?.clicks || '0', 10), + total_impressions: parseInt(rawOverview?.impressions || '0', 10), + total_roas: roas, + avg_ctr: parseFloat(rawOverview?.ctr || '0'), + avg_cpc: parseFloat(rawOverview?.cpc || '0'), + avg_cpm: parseFloat(rawOverview?.cpm || '0'), + campaigns_active: 0, // Not available directly in insights, could fetch if needed + }; + + return NextResponse.json({ success: true, data: overview }); + } finally { + await client.close(); + } + } catch (error) { + console.error('[API] Error fetching insights:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Failed to fetch insights' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/campaigns/route.ts b/src/app/api/campaigns/route.ts new file mode 100644 index 0000000..839dba0 --- /dev/null +++ b/src/app/api/campaigns/route.ts @@ -0,0 +1,87 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { listCampaigns } from '@/lib/mcp/tools'; +import { getAccessToken } from '@/lib/auth/session'; + +function mapInsights(rawInsights: any) { + if (!rawInsights || !rawInsights.data || rawInsights.data.length === 0) return null; + const item = rawInsights.data[0]; + + const actions = item.actions || []; + const leads = actions.find((a: any) => a.action_type === 'lead' || a.action_type === 'onsite_conversion.lead_grouped')?.value || 0; + const purchase = actions.find((a: any) => a.action_type === 'omni_purchase')?.value || 0; + const spendNum = parseFloat(item.spend || '0'); + const roas = spendNum > 0 && purchase ? parseFloat(purchase) / spendNum : 0; + + return { + spend: item.spend || '0', + ctr: item.ctr || '0', + cpc: item.cpc || '0', + cpm: item.cpm || '0', + leads: parseInt(leads, 10), + roas, + }; +} + +export async function GET(request: NextRequest) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const searchParams = request.nextUrl.searchParams; + const datePreset = searchParams.get('date_preset') || 'last_30d'; + + const client = await createMetaMCPClient(token); + + try { + // Obter campanhas, adsets e ads COM insights aninhados usando datePreset + const campaigns = await listCampaigns(client, undefined, datePreset); + + const campaignsArray = Array.isArray(campaigns) ? campaigns : []; + + const withInsights = campaignsArray.map((campaign: any) => { + // Map campaign insights + const campaignInsights = mapInsights(campaign.insights); + + // Clean up raw insights from campaign object to keep it tidy, or just remap + const cleanedCampaign = { ...campaign }; + delete cleanedCampaign.insights; + + // Process AdSets + if (cleanedCampaign.adsets && cleanedCampaign.adsets.data) { + cleanedCampaign.adsets.data = cleanedCampaign.adsets.data.map((adset: any) => { + const adsetInsights = mapInsights(adset.insights); + const cleanedAdset = { ...adset }; + if (adsetInsights) cleanedAdset.insights = adsetInsights; + + // Process Ads inside AdSet + if (cleanedAdset.ads && cleanedAdset.ads.data) { + cleanedAdset.ads.data = cleanedAdset.ads.data.map((ad: any) => { + const adInsights = mapInsights(ad.insights); + const cleanedAd = { ...ad }; + if (adInsights) cleanedAd.insights = adInsights; + return cleanedAd; + }); + } + + return cleanedAdset; + }); + } + + return { campaign: cleanedCampaign, insights: campaignInsights }; + }); + + return NextResponse.json({ success: true, data: withInsights }); + } finally { + await client.close(); + } + } catch (error) { + console.error('[API] Error fetching campaigns:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Failed to fetch campaigns' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/cron/monitor/route.ts b/src/app/api/cron/monitor/route.ts new file mode 100644 index 0000000..8343ce6 --- /dev/null +++ b/src/app/api/cron/monitor/route.ts @@ -0,0 +1,70 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { evaluateCampaigns } from '@/lib/engine/monitor'; +import { DEFAULT_RULES } from '@/lib/engine/rules'; +import type { AutomationRule } from '@/lib/engine/rules'; + +export async function POST(request: NextRequest) { + // Verify cron secret + const authHeader = request.headers.get('authorization'); + const cronSecret = process.env.CRON_SECRET; + + if (cronSecret && cronSecret !== 'your_random_cron_secret') { + if (authHeader !== `Bearer ${cronSecret}`) { + return NextResponse.json({ error: 'Unauthorized' }, { status: 401 }); + } + } + + // For cron jobs, we need a stored token + // In production, store a long-lived System User token + const body = await request.json().catch(() => ({})); + const token = body.access_token || process.env.META_SYSTEM_TOKEN; + + if (!token) { + return NextResponse.json( + { success: false, error: 'No access token provided. Pass access_token in body or set META_SYSTEM_TOKEN env.' }, + { status: 401 } + ); + } + + try { + const rules: AutomationRule[] = DEFAULT_RULES.map((r, i) => ({ + ...r, + id: `default-${i}`, + created_at: new Date().toISOString(), + updated_at: new Date().toISOString(), + })); + + const client = await createMetaMCPClient(token); + + try { + const evaluations = await evaluateCampaigns(client, rules); + const triggered = evaluations.filter((e) => e.triggered); + + console.log(`[Cron] Monitor run: ${triggered.length}/${evaluations.length} rules triggered`); + + return NextResponse.json({ + success: true, + data: { + ran_at: new Date().toISOString(), + total_evaluated: evaluations.length, + total_triggered: triggered.length, + actions: triggered.map((e) => ({ + campaign: e.campaign_name, + rule: e.rule.name, + action: e.action_taken, + details: e.details, + })), + }, + }); + } finally { + await client.close(); + } + } catch (error) { + console.error('[Cron] Monitor error:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Monitor error' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/debug/route.ts b/src/app/api/debug/route.ts new file mode 100644 index 0000000..25124c9 --- /dev/null +++ b/src/app/api/debug/route.ts @@ -0,0 +1,15 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { getAccessToken } from '@/lib/auth/session'; + +export async function GET(request: NextRequest) { + try { + const token = await getAccessToken(); + if (!token) return NextResponse.json({ error: 'No token' }, { status: 401 }); + + const client = await createMetaMCPClient(token); + return NextResponse.json({ success: true }); + } catch (error: any) { + return NextResponse.json({ error: error.message || String(error), stack: error.stack }, { status: 500 }); + } +} diff --git a/src/app/api/engine/rules/route.ts b/src/app/api/engine/rules/route.ts new file mode 100644 index 0000000..0d328f5 --- /dev/null +++ b/src/app/api/engine/rules/route.ts @@ -0,0 +1,67 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { DEFAULT_RULES } from '@/lib/engine/rules'; +import type { AutomationRule } from '@/lib/engine/rules'; + +// In-memory store (replace with Supabase when configured) +let rules: AutomationRule[] = DEFAULT_RULES.map((r, i) => ({ + ...r, + id: `rule-${i + 1}`, + created_at: new Date().toISOString(), + updated_at: new Date().toISOString(), +})); + +export async function GET() { + return NextResponse.json({ success: true, data: rules }); +} + +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + const newRule: AutomationRule = { + ...body, + id: `rule-${Date.now()}`, + created_at: new Date().toISOString(), + updated_at: new Date().toISOString(), + }; + rules.push(newRule); + return NextResponse.json({ success: true, data: newRule }, { status: 201 }); + } catch (error) { + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Invalid data' }, + { status: 400 } + ); + } +} + +export async function PATCH(request: NextRequest) { + try { + const body = await request.json(); + const { id, ...updates } = body; + const index = rules.findIndex((r) => r.id === id); + if (index === -1) { + return NextResponse.json({ success: false, error: 'Rule not found' }, { status: 404 }); + } + rules[index] = { ...rules[index], ...updates, updated_at: new Date().toISOString() }; + return NextResponse.json({ success: true, data: rules[index] }); + } catch (error) { + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Invalid data' }, + { status: 400 } + ); + } +} + +export async function DELETE(request: NextRequest) { + try { + const { searchParams } = request.nextUrl; + const id = searchParams.get('id'); + if (!id) return NextResponse.json({ success: false, error: 'ID required' }, { status: 400 }); + rules = rules.filter((r) => r.id !== id); + return NextResponse.json({ success: true }); + } catch (error) { + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Error' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/engine/run/route.ts b/src/app/api/engine/run/route.ts new file mode 100644 index 0000000..c0f79b8 --- /dev/null +++ b/src/app/api/engine/run/route.ts @@ -0,0 +1,44 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { evaluateCampaigns } from '@/lib/engine/monitor'; +import { getAccessToken } from '@/lib/auth/session'; +import type { AutomationRule, ActivityLog } from '@/lib/engine/rules'; +import { DEFAULT_RULES } from '@/lib/engine/rules'; + +export async function POST(request: NextRequest) { + try { + const token = await getAccessToken(); + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const body = await request.json().catch(() => ({})); + const rules: AutomationRule[] = body.rules || + DEFAULT_RULES.map((r, i) => ({ ...r, id: `default-${i}` })); + const recentLogs: ActivityLog[] = body.recent_logs || []; + + const client = await createMetaMCPClient(token); + + try { + const evaluations = await evaluateCampaigns(client, rules, recentLogs); + const triggered = evaluations.filter((e) => e.triggered); + + return NextResponse.json({ + success: true, + data: { + total_evaluated: evaluations.length, + total_triggered: triggered.length, + evaluations, + }, + }); + } finally { + await client.close(); + } + } catch (error) { + console.error('[Engine] Error running evaluations:', error); + return NextResponse.json( + { success: false, error: error instanceof Error ? error.message : 'Engine error' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/meta/pages/route.ts b/src/app/api/meta/pages/route.ts new file mode 100644 index 0000000..aa238be --- /dev/null +++ b/src/app/api/meta/pages/route.ts @@ -0,0 +1,43 @@ +import { NextResponse } from 'next/server'; +import { createMetaMCPClient } from '@/lib/mcp/client'; +import { getPages } from '@/lib/mcp/tools'; +import { getAccessToken } from '@/lib/auth/session'; + +export async function GET() { + try { + const token = await getAccessToken(); + + if (!token) { + return NextResponse.json({ success: false, error: 'Not authenticated' }, { status: 401 }); + } + + const client = await createMetaMCPClient(token); + + try { + const pages = await getPages(client); + + const data = (Array.isArray(pages) ? pages : []).map((page: any) => ({ + id: page.id, + name: page.name, + instagram_account: page.instagram_business_account + ? { + id: page.instagram_business_account.id, + username: page.instagram_business_account.username, + profile_picture_url: page.instagram_business_account.profile_picture_url, + } + : null, + })); + + return NextResponse.json({ success: true, data }); + } finally { + await client.close(); + } + } catch (error: any) { + console.error('[API] Error listing Meta pages:', error); + + return NextResponse.json( + { success: false, error: error?.message || 'Erro ao buscar páginas do Facebook.' }, + { status: 500 } + ); + } +} diff --git a/src/app/api/settings/route.ts b/src/app/api/settings/route.ts new file mode 100644 index 0000000..ab64288 --- /dev/null +++ b/src/app/api/settings/route.ts @@ -0,0 +1,24 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { getSettings, saveSettings } from '@/lib/settings'; + +export async function GET() { + const settings = getSettings(); + + // Mask secrets so we don't send them back to the client + return NextResponse.json({ + metaAppId: settings.metaAppId, + hasMetaSecret: !!settings.metaAppSecret, + hasOpenaiKey: !!settings.openaiApiKey, + }); +} + +export async function POST(request: NextRequest) { + try { + const body = await request.json(); + saveSettings(body); + return NextResponse.json({ success: true }); + } catch (error) { + console.error('[API] Error saving settings:', error); + return NextResponse.json({ success: false, error: 'Failed to save settings' }, { status: 500 }); + } +} diff --git a/src/app/dashboard/activity/page.tsx b/src/app/dashboard/activity/page.tsx new file mode 100644 index 0000000..5da735f --- /dev/null +++ b/src/app/dashboard/activity/page.tsx @@ -0,0 +1,151 @@ +'use client'; + +import React, { useState } from 'react'; +import { Activity, CheckCircle, Clock, XCircle, Zap, Filter } from 'lucide-react'; + +interface LogEntry { + id: string; + timestamp: string; + campaign_name: string; + rule_name: string; + action: string; + details: string; + status: 'executed' | 'pending' | 'failed' | 'skipped'; +} + +// Demo data (will be replaced with Supabase query) +const DEMO_LOGS: LogEntry[] = [ + { + id: '1', timestamp: new Date(Date.now() - 3600000).toISOString(), + campaign_name: 'Campanha Conversão Q1', rule_name: 'CPL Alto — Pausar', + action: 'pause', details: 'CPL = R$67.30 (threshold: R$50.00)', status: 'executed', + }, + { + id: '2', timestamp: new Date(Date.now() - 7200000).toISOString(), + campaign_name: 'Remarketing Visitantes', rule_name: 'ROAS Baixo — Pausar', + action: 'pause', details: 'ROAS = 0.32x (threshold: 0.50x)', status: 'executed', + }, + { + id: '3', timestamp: new Date(Date.now() - 14400000).toISOString(), + campaign_name: 'Tráfego Blog', rule_name: 'CTR Muito Baixo — Pausar', + action: 'pause', details: 'CTR = 0.21% (threshold: 0.50%)', status: 'executed', + }, + { + id: '4', timestamp: new Date(Date.now() - 28800000).toISOString(), + campaign_name: 'Leads Premium', rule_name: 'ROAS Excelente — Aumentar Budget', + action: 'increase_budget', details: 'Budget +20%: R$50.00 → R$60.00. ROAS = 4.2x', status: 'executed', + }, + { + id: '5', timestamp: new Date(Date.now() - 43200000).toISOString(), + campaign_name: 'Campanha Vídeo', rule_name: 'CPC Alto — Reduzir Budget', + action: 'reduce_budget', details: 'Em cooldown (48h)', status: 'skipped', + }, +]; + +const statusConfig = { + executed: { icon: , color: '#4ade80', bg: 'rgba(34,197,94,0.1)', label: 'Executado' }, + pending: { icon: , color: '#fbbf24', bg: 'rgba(245,158,11,0.1)', label: 'Pendente' }, + failed: { icon: , color: '#f87171', bg: 'rgba(239,68,68,0.1)', label: 'Falhou' }, + skipped: { icon: , color: '#8888a0', bg: 'var(--overlay-05)', label: 'Pulado' }, +}; + +function timeAgo(dateStr: string): string { + const diff = Date.now() - new Date(dateStr).getTime(); + const mins = Math.floor(diff / 60000); + if (mins < 60) return `${mins}min atrás`; + const hours = Math.floor(mins / 60); + if (hours < 24) return `${hours}h atrás`; + const days = Math.floor(hours / 24); + return `${days}d atrás`; +} + +export default function ActivityPage() { + const [filter, setFilter] = useState('all'); + const logs = filter === 'all' ? DEMO_LOGS : DEMO_LOGS.filter((l) => l.status === filter); + + return ( +
+ {/* Header */} +
+
+
+ +
+
+

Atividade

+

Ações executadas pelo agente de automação

+
+
+
+ + {['all', 'executed', 'pending', 'skipped', 'failed'].map((f) => ( + + ))} +
+
+ + {/* Stats */} +
+ {[ + { label: 'Total', value: DEMO_LOGS.length, color: 'var(--accent-soft-fg)' }, + { label: 'Executados', value: DEMO_LOGS.filter((l) => l.status === 'executed').length, color: '#4ade80' }, + { label: 'Pendentes', value: DEMO_LOGS.filter((l) => l.status === 'pending').length, color: '#fbbf24' }, + { label: 'Pulados', value: DEMO_LOGS.filter((l) => l.status === 'skipped').length, color: '#8888a0' }, + ].map((s) => ( +
+

{s.value}

+

{s.label}

+
+ ))} +
+ + {/* Timeline */} +
+
+

Timeline

+
+
+ {logs.length === 0 ? ( +
+

Nenhuma atividade encontrada

+
+ ) : ( + logs.map((log) => { + const sc = statusConfig[log.status]; + return ( +
+ {/* Timeline dot */} +
+
+ +
+
+ {/* Content */} +
+
+

{log.campaign_name}

+ + {sc.icon} {sc.label} + +
+

+ Regra: {log.rule_name} +

+

{log.details}

+
+ {/* Time */} + + {timeAgo(log.timestamp)} + +
+ ); + }) + )} +
+
+
+ ); +} diff --git a/src/app/dashboard/analysis/page.tsx b/src/app/dashboard/analysis/page.tsx new file mode 100644 index 0000000..64aacc0 --- /dev/null +++ b/src/app/dashboard/analysis/page.tsx @@ -0,0 +1,462 @@ +'use client'; +import { useRouter } from 'next/navigation'; + +import React, { useState, useEffect } from 'react'; +import { Spinner } from '@/components/ui/Spinner'; +import { Zap, AlertTriangle, TrendingUp, TrendingDown, RefreshCcw, Bot, Activity, Send, User } from 'lucide-react'; +import ReactMarkdown from 'react-markdown'; +import remarkGfm from 'remark-gfm'; + +type Campaign = { + id: string; + name: string; + status: string; +}; + +export default function AnalysisPage() { + const router = useRouter(); + const [campaigns, setCampaigns] = useState([]); + const [loadingList, setLoadingList] = useState(true); + + const [selectedCampaign, setSelectedCampaign] = useState(''); + const [analyzing, setAnalyzing] = useState(false); + const [report, setReport] = useState(null); + const [error, setError] = useState(''); + + // Chat State + const [chatMessages, setChatMessages] = useState<{role: string, content: string}[]>([]); + const [chatInput, setChatInput] = useState(''); + const [isChatting, setIsChatting] = useState(false); + + useEffect(() => { + fetch('/api/campaigns') + .then((res) => res.json()) + .then((data) => { + if (data.success) { + setCampaigns(data.data || []); + } + }) + .catch(() => {}) + .finally(() => setLoadingList(false)); + }, []); + + const runAnalysis = async () => { + if (!selectedCampaign) return; + + setAnalyzing(true); + setError(''); + setReport(null); + setChatMessages([]); + + try { + const res = await fetch('/api/analysis', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ campaignId: selectedCampaign }), + }); + const data = await res.json(); + + if (data.success) { + setReport(data.data); + } else { + setError(data.error || 'Erro ao analisar campanha'); + } + } catch (err) { + setError('Erro de conexão com o servidor'); + } finally { + setAnalyzing(false); + } + }; + + const sendChatMessage = async (e?: React.FormEvent) => { + if (e) e.preventDefault(); + if (!chatInput.trim() || isChatting || !report) return; + + const newMsg = { role: 'user', content: chatInput }; + const updatedMessages = [...chatMessages, newMsg]; + + setChatMessages(updatedMessages); + setChatInput(''); + setIsChatting(true); + + try { + const campName = campaigns.find(c => c.id === selectedCampaign)?.name || 'Campanha'; + const res = await fetch('/api/analysis/chat', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + campaignName: campName, + reportContext: report, + messages: updatedMessages + }), + }); + const data = await res.json(); + if (data.success) { + setChatMessages([...updatedMessages, { role: 'model', content: data.data.reply }]); + } + } catch (err) { + console.error(err); + } finally { + setIsChatting(false); + } + }; + + const handleCreateNewCampaign = () => { + if (!report?.analysis?.nova_estrategia_sugerida) return; + const strat = report.analysis.nova_estrategia_sugerida; + const q = new URLSearchParams({ + niche: strat.nicho_sugerido || '', + product: strat.produto_foco || '', + audience: strat.publico_alvo || '' + }); + router.push(`/dashboard/create?${q.toString()}`); + }; + + return ( +
+ {/* Header */} +
+
+ +
+
+

Auditoria com IA

+

A IA fará um Raio-X dos criativos e métricas da campanha

+
+
+ +
+ +
+
+ {loadingList ? ( +
+ Carregando campanhas... +
+ ) : ( + + )} + {!loadingList && ( +
+ + + +
+ )} +
+ +
+
+ + {error && ( +
+

{error}

+
+ )} + + {analyzing && ( +
+
+ +
+

A IA está lendo seus anúncios...

+

+ Baixando as imagens, lendo os textos persuasivos e cruzando com o ROAS e o CPA na Meta. Isso pode levar alguns segundos. +

+
+ )} + + {report && !analyzing && ( +
+ {/* Métricas Hero */} +
+
+

Anúncios Auditados

+

{report.ads_count}

+
+
+

Gasto (30d)

+

R$ {parseFloat(report.campaign_metrics.spend).toFixed(2)}

+
+
+

ROAS

+

{parseFloat(report.campaign_metrics.roas).toFixed(2)}x

+
+
+ + {/* Anúncios Ativos na Campanha */} + {report.ads && report.ads.length > 0 && ( +
+

+ Anúncios Auditados +

+
+ {report.ads.map((ad: any, i: number) => ( +
+ {ad.image_url ? ( +
+ {/* eslint-disable-next-line @next/next/no-img-element */} + {ad.ad_name} +
+ ) : ( +
+ Sem imagem disponível +
+ )} +
+

{ad.ad_name}

+
+ Gasto: R$ {parseFloat(ad.spend).toFixed(2)} + ROAS: {parseFloat(ad.roas).toFixed(2)}x +
+

{ad.body || 'Sem texto'}

+
+
+ ))} +
+
+ )} + + {/* Relatório IA */} +
+ +
+

+ Diagnóstico Geral +

+

+ {report.analysis.diagnostico_geral} +

+
+ +
+
+

+ Análise de Texto (Copy) +

+
    + {Array.isArray(report.analysis.analise_copy) ? ( + report.analysis.analise_copy.map((txt: string, i: number) => ( +
  • • {txt}
    • + )) + ) : ( +
  • {report.analysis.analise_copy}
    • + )} +
+
+ +
+

+ Análise Visual (Imagem) +

+
    + {Array.isArray(report.analysis.analise_imagem) ? ( + report.analysis.analise_imagem.map((txt: string, i: number) => ( +
  • • {txt}
    • + )) + ) : ( +
  • {report.analysis.analise_imagem}
    • + )} +
+
+
+ +
+
+

+ Avaliação de Métricas +

+
    + {Array.isArray(report.analysis.analise_metricas) ? ( + report.analysis.analise_metricas.map((txt: string, i: number) => ( +
  • • {txt}
    • + )) + ) : ( +
  • {report.analysis.analise_metricas}
    • + )} +
+
+ +
+

+ Plano de Ação Recomendado +

+
    + {Array.isArray(report.analysis.acao_recomendada) ? ( + report.analysis.acao_recomendada.map((txt: string, i: number) => ( +
  • ✓ {txt}
    • + )) + ) : ( +
  • {report.analysis.acao_recomendada}
    • + )} +
+
+
+ + {/* Nova Estratégia Sugerida */} + {report.analysis.nova_estrategia_sugerida && ( +
+
+
+ +
+
+

Estratégia Recomendada para a Próxima Campanha

+

Baseado no diagnóstico, a IA sugere os seguintes parâmetros para uma nova campanha

+
+
+ +
+
+
+
+

Nicho / Setor

+

{report.analysis.nova_estrategia_sugerida.nicho_sugerido}

+
+
+

Produto Foco

+

{report.analysis.nova_estrategia_sugerida.produto_foco}

+
+
+
+

Público-Alvo Ideal

+

{report.analysis.nova_estrategia_sugerida.publico_alvo}

+
+
+ +
+
+

Ângulos de Venda (Copy)

+
    + {report.analysis.nova_estrategia_sugerida.angulos_de_venda?.map((ang: string, i: number) => ( +
  • • {ang}
    • + ))} +
+
+ +
+
+
+ )} + + {/* Chat com Especialista IA */} +
+
+
+ +
+
+

Consultor IA

+

Fale com a IA sobre esta campanha e tire suas dúvidas

+
+
+ +
+
+ {chatMessages.length === 0 ? ( +
+ +

Estou pronto para responder qualquer dúvida sobre essa análise. O que você gostaria de saber?

+
+ ) : ( + chatMessages.map((msg, i) => ( +
+
+ {msg.role === 'user' ? : } +
+
+ {msg.role === 'user' ? ( + msg.content + ) : ( +
+

, + ul: ({node, ...props}) =>

    , + ol: ({node, ...props}) =>
      , + li: ({node, ...props}) =>
    1. , + strong: ({node, ...props}) => + }} + > + {msg.content} + +
+ )} +
+
+ )) + )} + {isChatting && ( +
+
+ +
+
+
+
+
+
+
+ )} +
+ +
+ setChatInput(e.target.value)} + placeholder="Pergunte algo sobre a campanha..." + className="flex-1 bg-transparent border-none outline-none text-white px-3 text-sm" + disabled={isChatting} + /> + +
+
+
+ +
+
+ )} +
+ ); +} diff --git a/src/app/dashboard/automation/page.tsx b/src/app/dashboard/automation/page.tsx new file mode 100644 index 0000000..7bcc2e9 --- /dev/null +++ b/src/app/dashboard/automation/page.tsx @@ -0,0 +1,261 @@ +'use client'; + +import React, { useState, useEffect } from 'react'; +import { Spinner } from '@/components/ui/Spinner'; +import { Modal } from '@/components/ui/Modal'; +import { + Shield, Plus, Trash2, Zap, AlertTriangle, + TrendingDown, TrendingUp, Bell, Pause, Bot +} from 'lucide-react'; +import type { AutomationRule, RuleMetric, RuleOperator, RuleAction } from '@/lib/engine/rules'; +import { METRIC_LABELS, OPERATOR_LABELS, ACTION_LABELS } from '@/lib/engine/rules'; + +const actionIcons: Record = { + pause: , + reduce_budget: , + increase_budget: , + notify: , + replace_with_ai: , +}; + +const actionColors: Record = { + pause: '#ef4444', + reduce_budget: '#f59e0b', + increase_budget: '#22c55e', + notify: '#3b82f6', + replace_with_ai: '#a855f7', +}; + +export default function AutomationPage() { + const [rules, setRules] = useState([]); + const [loading, setLoading] = useState(true); + const [showCreate, setShowCreate] = useState(false); + const [running, setRunning] = useState(false); + const [lastResult, setLastResult] = useState(null); + + // Form state + const [form, setForm] = useState({ + name: '', + metric: 'cpl' as RuleMetric, + operator: '>' as RuleOperator, + threshold: 50, + min_spend: 30, + min_impressions: 1000, + action: 'pause' as RuleAction, + action_value: 30, + cooldown_hours: 24, + }); + + useEffect(() => { + fetchRules(); + }, []); + + const fetchRules = async () => { + setLoading(true); + try { + const res = await fetch('/api/engine/rules'); + const data = await res.json(); + if (data.success) setRules(data.data); + } catch { /* ignore */ } + setLoading(false); + }; + + const toggleRule = async (rule: AutomationRule) => { + await fetch('/api/engine/rules', { + method: 'PATCH', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ id: rule.id, enabled: !rule.enabled }), + }); + setRules((prev) => + prev.map((r) => (r.id === rule.id ? { ...r, enabled: !r.enabled } : r)) + ); + }; + + const deleteRule = async (id: string) => { + await fetch(`/api/engine/rules?id=${id}`, { method: 'DELETE' }); + setRules((prev) => prev.filter((r) => r.id !== id)); + }; + + const createRule = async () => { + const res = await fetch('/api/engine/rules', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ ...form, enabled: true }), + }); + const data = await res.json(); + if (data.success) { + setRules((prev) => [...prev, data.data]); + setShowCreate(false); + setForm({ name: '', metric: 'cpl', operator: '>', threshold: 50, min_spend: 30, min_impressions: 1000, action: 'pause', action_value: 30, cooldown_hours: 24 }); + } + }; + + const runEngine = async () => { + setRunning(true); + setLastResult(null); + try { + const res = await fetch('/api/engine/run', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ rules }), + }); + const data = await res.json(); + if (data.success) { + setLastResult(`✅ Avaliação concluída: ${data.data.total_triggered} de ${data.data.total_evaluated} regras disparadas`); + } else { + setLastResult(`❌ Erro: ${data.error}`); + } + } catch { + setLastResult('❌ Erro ao executar engine'); + } + setRunning(false); + }; + + if (loading) return ( +
+ +
+ ); + + return ( +
+ {/* Header */} +
+
+
+ +
+
+

Automação

+

Regras automáticas de monitoramento

+
+
+
+ + +
+
+ + {/* Last result banner */} + {lastResult && ( +
+

{lastResult}

+
+ )} + + {/* Rules list */} +
+ {rules.length === 0 ? ( +
+ +

Nenhuma regra configurada

+
+ ) : ( + rules.map((rule) => ( +
+
+
+ {/* Toggle */} + + {/* Info */} +
+

{rule.name}

+

+ Se {METRIC_LABELS[rule.metric]}{' '} + {OPERATOR_LABELS[rule.operator]}{' '} + + {rule.metric === 'ctr' ? `${rule.threshold}%` : rule.metric === 'roas' ? `${rule.threshold}x` : `R$ ${rule.threshold}`} + + {' → '} + + {ACTION_LABELS[rule.action]} + {rule.action_value ? ` ${rule.action_value}%` : ''} + +

+

+ Min: R${rule.min_spend} gasto, {rule.min_impressions} impressões • Cooldown: {rule.cooldown_hours}h +

+
+
+
+ + {actionIcons[rule.action]} {ACTION_LABELS[rule.action]} + + +
+
+
+ )) + )} +
+ + {/* Create Modal */} + setShowCreate(false)} title="Nova Regra de Automação"> +
+
+ + setForm({ ...form, name: e.target.value })} placeholder="Ex: CPL Alto — Pausar" /> +
+
+
+ + +
+
+ + +
+
+ + setForm({ ...form, threshold: parseFloat(e.target.value) })} /> +
+
+
+ + +
+
+
+ + setForm({ ...form, min_spend: parseFloat(e.target.value) })} /> +
+
+ + setForm({ ...form, min_impressions: parseInt(e.target.value) })} /> +
+
+ + setForm({ ...form, cooldown_hours: parseInt(e.target.value) })} /> +
+
+
+ + +
+
+ +
+ ); +} diff --git a/src/app/dashboard/create/page.tsx b/src/app/dashboard/create/page.tsx new file mode 100644 index 0000000..d5cbc64 --- /dev/null +++ b/src/app/dashboard/create/page.tsx @@ -0,0 +1,1438 @@ +'use client'; + +import React, { useState, useEffect } from 'react'; +import { Spinner } from '@/components/ui/Spinner'; +import { ErrorBlock } from '@/components/ui/ErrorBlock'; +import { parseApiError, type FriendlyError } from '@/lib/errors'; +import { + Wand2, + Image as ImageIcon, + Type, + Send, + CheckCircle, + Upload, +} from 'lucide-react'; + +import { + TARGETING_TEMPLATES, +} from '@/lib/meta/targeting'; +import { SYSTEM_SKINS, getSkin } from '@/config/skins'; + +import type { AdCopyVariation } from '@/lib/ai/copywriter'; + +type Step = + | 'config' + | 'generating' + | 'preview' + | 'publishing' + | 'done'; + +type ImageSource = 'ai' | 'upload'; + +type MetaPage = { + id: string; + name: string; + instagram_account: { id: string; username: string; profile_picture_url?: string } | null; +}; + +export default function CreateCampaignPage() { + const [step, setStep] = useState('config'); + const [skinId, setSkinId] = useState('generic'); + const currentSkin = getSkin(skinId); + + const [customFields, setCustomFields] = useState>({}); + + const [form, setForm] = useState({ + campaign_name: '', + objective: currentSkin.meta_defaults.objective, + targeting_template: currentSkin.meta_defaults.targeting_template, + daily_budget: 50, + bid_strategy: currentSkin.meta_defaults.bid_strategy, + bid_amount: 10, + link: '', + pixel_id: '', + image_style: currentSkin.ai_guidelines.image_style, + }); + + const handleSkinChange = (newSkinId: string) => { + const skin = getSkin(newSkinId); + setSkinId(newSkinId); + setCustomFields({}); + setForm(prev => ({ + ...prev, + objective: skin.meta_defaults.objective, + targeting_template: skin.meta_defaults.targeting_template, + bid_strategy: skin.meta_defaults.bid_strategy, + image_style: skin.ai_guidelines.image_style, + })); + }; + + const [imageSource, setImageSource] = + useState('ai'); + + const [uploadedImageBytes, setUploadedImageBytes] = + useState(null); + + const [uploadedImagePreview, setUploadedImagePreview] = + useState(null); + + const [copyVariations, setCopyVariations] = + useState([]); + + const [selectedCopy, setSelectedCopy] = useState(0); + + const [generatedImages, setGeneratedImages] = + useState([]); + + const [audienceLoading, setAudienceLoading] = useState(false); + + const [analyzing, setAnalyzing] = useState(false); + const [analysisNote, setAnalysisNote] = useState(null); + const [productDescription, setProductDescription] = useState(''); + const [draftId, setDraftId] = useState(null); + + const [pages, setPages] = useState([]); + const [pagesLoading, setPagesLoading] = useState(false); + const [selectedPageId, setSelectedPageId] = useState(''); + + const selectedPage = pages.find((p) => p.id === selectedPageId) || null; + const selectedInstagramAccount = selectedPage?.instagram_account || null; + + // Loads the user's Facebook Pages (and their linked Instagram business accounts) + // so they can pick exactly which one promotes this campaign, instead of the + // backend silently falling back to the first page on the account. + useEffect(() => { + let cancelled = false; + + (async () => { + setPagesLoading(true); + try { + const res = await fetch('/api/meta/pages'); + const data = await res.json(); + if (!cancelled && data.success) { + const list: MetaPage[] = data.data || []; + setPages(list); + if (list.length > 0) { + setSelectedPageId((prev) => prev || list[0].id); + } + } + } catch { + // Não bloqueia o fluxo — o backend tem fallback para a primeira página da conta. + } finally { + if (!cancelled) setPagesLoading(false); + } + })(); + + return () => { + cancelled = true; + }; + }, []); + + // Saves/updates the campaign draft in Supabase so generated copy and images + // survive errors during publish (e.g. Meta API failures) without needing + // to be regenerated from scratch. + const saveDraft = async (fields: Record) => { + try { + const res = await fetch('/api/campaigns/draft', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ id: draftId || undefined, ...fields }), + }); + const data = await res.json(); + if (data.success && data.data?.id) { + setDraftId(data.data.id); + } + return data; + } catch { + return null; + } + }; + + const [error, setError] = useState(''); + const [errorDetail, setErrorDetail] = useState(null); + + const clearError = () => { + setError(''); + setErrorDetail(null); + }; + + const setApiError = (data: any, fallback?: string) => { + setErrorDetail(parseApiError(data, fallback)); + setError(''); + }; + + const showError = (message: string) => { + setError(message); + setErrorDetail(null); + }; + + useEffect(() => { + if (typeof window !== 'undefined') { + const searchParams = new URLSearchParams(window.location.search); + const niche = searchParams.get('niche'); + const product = searchParams.get('product'); + const audience = searchParams.get('audience'); + + if (niche || product || audience) { + // Try to match niche with a system skin, default to generic + let matchedSkinId = 'generic'; + if (niche) { + const lowerNiche = niche.toLowerCase(); + const possibleSkins = Object.keys(SYSTEM_SKINS); + matchedSkinId = possibleSkins.find(s => lowerNiche.includes(s) || s.includes(lowerNiche)) || 'generic'; + } + + setSkinId(matchedSkinId); + + // Auto-fill custom fields based on what the skin expects + const prefilledFields: Record = {}; + if (product) { + prefilledFields['product_name'] = product; + prefilledFields['service_name'] = product; + prefilledFields['imovel_type'] = product; + } + if (audience) { + prefilledFields['avatar'] = audience; + prefilledFields['target_audience'] = audience; + prefilledFields['pain_points'] = audience; + } + + setCustomFields(prefilledFields); + } + } + }, []); + + const handleFileUpload = ( + e: React.ChangeEvent + ) => { + const file = e.target.files?.[0]; + + if (!file) return; + + const reader = new FileReader(); + + reader.onload = (event) => { + const dataUrl = event.target?.result as string; + + setUploadedImagePreview(dataUrl); + setUploadedImageBytes(dataUrl); + }; + + reader.readAsDataURL(file); + }; + + const getContextString = () => { + return Object.entries(customFields) + .map(([key, value]) => { + const field = currentSkin.fields.find((f) => f.id === key); + return `${field?.label || key}: ${value}`; + }) + .join('\n'); + }; + + const generateAudience = async () => { + if (Object.keys(customFields).length === 0 && !form.link) { + showError('Preencha os campos ou o Link primeiro para gerar o público.'); + window.scrollTo({ top: 0, behavior: 'smooth' }); + return; + } + + setAudienceLoading(true); + clearError(); + + try { + const res = await fetch('/api/ai/generate-audience', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + context: getContextString(), + link: form.link, + category: skinId, + }), + }); + + const data = await res.json(); + if (!data.success) throw new Error(data.error); + + setCustomFields((prev) => ({ ...prev, audience_generated: data.data })); + } catch (err: any) { + showError(err.message || 'Erro ao gerar público-alvo.'); + } finally { + setAudienceLoading(false); + } + }; + + const analyzeWithAI = async () => { + if (!form.link && !productDescription.trim()) { + showError('Cole o link do projeto/site ou descreva seu produto/negócio antes de analisar com IA.'); + window.scrollTo({ top: 0, behavior: 'smooth' }); + return; + } + + setAnalyzing(true); + clearError(); + setAnalysisNote(null); + + try { + const res = await fetch('/api/ai/analyze-link', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ link: form.link || undefined, description: productDescription.trim() || undefined }), + }); + + const data = await res.json(); + if (!data.success) { + setApiError(data, 'Não foi possível analisar o link/descrição informados.'); + return; + } + + const analysis = data.data; + const skin = getSkin(analysis.skin_id); + + setSkinId(analysis.skin_id); + setCustomFields({ + ...analysis.fields, + audience_generated: analysis.audience || '', + }); + setForm((prev) => ({ + ...prev, + campaign_name: analysis.campaign_name || prev.campaign_name, + objective: analysis.objective || skin.meta_defaults.objective, + targeting_template: skin.meta_defaults.targeting_template, + bid_strategy: skin.meta_defaults.bid_strategy, + image_style: analysis.image_style || skin.ai_guidelines.image_style, + })); + setAnalysisNote(analysis.summary || null); + } catch (err: any) { + showError(err.message || 'Erro ao analisar o projeto com IA. Tente novamente em instantes.'); + } finally { + setAnalyzing(false); + } + }; + + const generateCreatives = async () => { + if ( + Object.keys(customFields).length === 0 || + !form.link || + !form.campaign_name + ) { + showError( + 'Preencha a Campanha, os campos da Skin e o Link antes de gerar os criativos.' + ); + window.scrollTo({ top: 0, behavior: 'smooth' }); + return; + } + + if ( + imageSource === 'upload' && + !uploadedImageBytes + ) { + showError( + 'Faça o upload de uma imagem antes de continuar.' + ); + window.scrollTo({ top: 0, behavior: 'smooth' }); + return; + } + + clearError(); + setStep('generating'); + + try { + // COPY + const copyRes = await fetch( + '/api/ai/generate-copy', + { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + context: getContextString(), + copy_rules: currentSkin.ai_guidelines.copy_rules, + objective: form.objective, + category: skinId, + count: 3, + }), + } + ); + + const copyData = await copyRes.json(); + + if (!copyData.success) { + throw new Error( + copyData.error || + 'Erro ao gerar textos.' + ); + } + + setCopyVariations(copyData.data); + setSelectedCopy(0); + + // IMAGE + let imagesForDraft: string[] = []; + + if (imageSource === 'ai') { + const imgRes = await fetch( + '/api/ai/generate-image', + { + method: 'POST', + headers: { + 'Content-Type': + 'application/json', + }, + body: JSON.stringify({ + context: getContextString(), + style: form.image_style, + }), + } + ); + + const imgData = await imgRes.json(); + + if (!imgData.success) { + throw new Error( + imgData.error || + 'Falha ao gerar imagem com IA.' + ); + } + + const urls = imgData.data.map((d: any) => d.url); + setGeneratedImages(urls); + imagesForDraft = urls; + } else { + if (uploadedImagePreview) { + setGeneratedImages([uploadedImagePreview]); + imagesForDraft = [uploadedImagePreview]; + } + } + + // Persist the draft now — if Meta publish fails later, the generated + // copy and images are safe in Supabase and won't need to be redone. + await saveDraft({ + product: form.campaign_name || customFields[currentSkin.fields[0]?.id] || 'Campanha sem nome', + audience: customFields['audience_generated'] || customFields['audience'] || '', + objective: form.objective, + budget_daily: form.daily_budget, + copy_variations: copyData.data, + image_urls: imagesForDraft, + targeting: { template: form.targeting_template }, + status: 'draft', + // Extra fields needed to retry publishing later without regenerating anything + config: { + campaign_name: form.campaign_name, + link: form.link, + pixel_id: form.pixel_id, + bid_strategy: form.bid_strategy, + bid_amount: form.bid_amount, + targeting_template: form.targeting_template, + skin_id: skinId, + }, + }); + + setStep('preview'); + } catch (err) { + showError( + err instanceof Error + ? err.message + : 'Erro ao gerar criativos. Tente novamente em instantes.' + ); + + setStep('config'); + } + }; + + const publishCampaign = async () => { + if (!copyVariations[selectedCopy]) { + showError( + 'Selecione uma copy antes de publicar.' + ); + + return; + } + + setStep('publishing'); + clearError(); + + try { + const selectedTemplate = + TARGETING_TEMPLATES.find( + (template) => + template.id === + form.targeting_template + ); + + const selectedTargeting = + selectedTemplate?.targeting; + + const res = await fetch( + '/api/campaigns/create', + { + method: 'POST', + headers: { + 'Content-Type': + 'application/json', + }, + body: JSON.stringify({ + campaign_name: + form.campaign_name, + + objective: + form.objective, + + daily_budget: Math.round( + form.daily_budget * 100 + ), + + bid_strategy: + form.bid_strategy === + 'BID_CAP' + ? 'LOWEST_COST_WITH_BID_CAP' + : undefined, + + bid_amount: + form.bid_strategy === + 'BID_CAP' + ? Math.round( + form.bid_amount * 100 + ) + : undefined, + + targeting: + selectedTargeting || { + geo_locations: { + countries: ['BR'], + }, + }, + + link: form.link, + + page_id: selectedPageId || undefined, + + instagram_actor_id: selectedInstagramAccount?.id || undefined, + + pixel_id: form.pixel_id, + + image_urls: + imageSource === 'ai' + ? generatedImages + : undefined, + + image_bytes: + imageSource === 'upload' + ? uploadedImageBytes + ? [uploadedImageBytes] + : [] + : undefined, + + headline: + copyVariations[selectedCopy] + .headline, + + primary_text: + copyVariations[selectedCopy] + .primary_text, + + description: + copyVariations[selectedCopy] + .description, + + cta: + copyVariations[selectedCopy] + .cta || 'LEARN_MORE', + }), + } + ); + + const data = await res.json(); + + if (!data.success) { + console.error('[Debug] Publish error response:', data); + setApiError(data, 'Não foi possível publicar a campanha na Meta.'); + + // Keep the draft as 'failed' (not lost) — copy/images stay saved so the + // user can retry the publish without regenerating everything. + await saveDraft({ status: 'failed' }); + setStep('preview'); + return; + } + + await saveDraft({ + status: 'published', + meta_campaign_id: data.data?.campaign_id, + meta_adset_id: data.data?.adset_id, + meta_creative_id: data.data?.creative_ids?.[0], + meta_ad_id: data.data?.ad_ids?.[0], + approved_at: new Date().toISOString(), + }); + + setStep('done'); + } catch (err) { + console.error('[Debug] Publish error:', err); + + setError( + err instanceof Error + ? err.message + : 'Erro fatal ao publicar campanha. Tente novamente em instantes.' + ); + setErrorDetail(null); + + // Keep the draft as 'failed' (not lost) — copy/images stay saved so the + // user can retry the publish without regenerating everything. + await saveDraft({ status: 'failed' }); + + setStep('preview'); + } + }; + + const objectives = [ + { + value: 'OUTCOME_TRAFFIC', + label: 'Tráfego', + }, + { + value: 'OUTCOME_LEADS', + label: 'Geração de Leads', + }, + { + value: 'OUTCOME_AWARENESS', + label: 'Reconhecimento', + }, + { + value: 'OUTCOME_ENGAGEMENT', + label: 'Engajamento', + }, + { + value: 'OUTCOME_SALES', + label: 'Vendas', + }, + ]; + + return ( +
+ {/* HEADER */} +
+
+ +
+ +
+

+ Criar Campanha Inteligente +

+ +

+ Configure orçamento, + Bid Cap e criativos + para campanhas Meta +

+
+
+ + {/* STEPS */} +
+ {[ + 'Configurar', + 'Gerando...', + 'Preview', + 'Publicando', + ].map((s, i) => { + const stepMap: Step[] = [ + 'config', + 'generating', + 'preview', + 'publishing', + ]; + + const isActive = + stepMap.indexOf(step) >= + i || step === 'done'; + + return ( + +
+
+ {step === 'done' && + i <= 3 ? ( + + ) : ( + i + 1 + )} +
+ + + {s} + +
+ + {i < 3 && ( +
+ )} + + ); + })} +
+ + {/* ERROR */} + {(errorDetail || error) && ( + + )} + + {/* CONFIG */} + {step === 'config' && ( +
+

+ Configuração da + Campanha +

+ +
+ {/* AI PROJECT INTAKE — single entry point: link and/or description, AI picks the skin and fills everything */} +
+
+ +

Comece por aqui: deixe a IA montar a campanha

+
+

+ Cole o link do seu site/produto e/ou descreva seu negócio em poucas palavras. A IA identifica o nicho ideal, escolhe o skin, e preenche nome da campanha, campos do nicho, público, objetivo e estilo visual — tudo de uma vez. +

+ +
+
+ + setForm({ ...form, link: e.target.value })} + placeholder="https://seusite.com" + /> +

+ Para onde o anúncio vai levar quem clicar — também é a fonte que a IA analisa. +

+
+ +
+ +