n8n-compose/n8n-workflows/workflow-b-http.json

{
  "name": "Workflow B - Approval & Execution (HTTP)",
  "description": "Poll for approved AI suggestions and execute them (Baramundi jobs or email replies)",
  "nodes": [
    {
      "id": "uuid-trigger-b",
      "name": "Trigger",
      "type": "n8n-nodes-base.cron",
      "typeVersion": 1,
      "position": [250, 300],
      "parameters": {
        "cronExpression": "*/2 * * * *"
      }
    },
    {
      "id": "uuid-get-approved",
      "name": "Get Approved Conversations",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [450, 300],
      "parameters": {
        "url": "http://host.docker.internal:4000/query/freescout",
        "method": "POST",
        "headers": { "Content-Type": "application/json" },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"query\":\"SELECT c.id as ticket_id, c.number as ticket_number, c.subject, c.customer_email, ccf6.value as ai_suggestion_raw, ccf7.value as approval_status FROM conversations c JOIN conversation_custom_field ccf7 ON c.id = ccf7.conversation_id AND ccf7.custom_field_id = 7 LEFT JOIN conversation_custom_field ccf6 ON c.id = ccf6.conversation_id AND ccf6.custom_field_id = 6 WHERE ccf7.value = '1' LIMIT 10\"}"
      }
    },
    {
      "id": "uuid-check-empty",
      "name": "Any Approved?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 2,
      "position": [650, 300],
      "parameters": {
        "conditions": {
          "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose" },
          "conditions": [
            {
              "id": "cond-has-data",
              "leftValue": "={{ $json.data.length }}",
              "rightValue": 0,
              "operator": { "type": "number", "operation": "gt" }
            }
          ],
          "combinator": "and"
        }
      }
    },
    {
      "id": "uuid-split-approved",
      "name": "Split into Items",
      "type": "n8n-nodes-base.splitOut",
      "typeVersion": 1,
      "position": [850, 200],
      "parameters": {
        "fieldToSplitOut": "data",
        "options": {}
      }
    },
    {
      "id": "uuid-parse-suggestion",
      "name": "Parse Suggestion",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [1050, 200],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const item = $input.item.json;\nconst ticketId = item.ticket_id;\nconst raw = item.ai_suggestion_raw || '';\n\nlet loesung_typ = 'ESKALATION';\nlet baramundi_job = '';\nlet antwort_text = '';\n\n// Lösung-Typ aus dem ersten Segment extrahieren\nconst firstPart = raw.split('|')[0].trim();\nif (firstPart === 'BARAMUNDI_JOB' || firstPart === 'AUTOMATISCHE_ANTWORT' || firstPart === 'ESKALATION') {\n  loesung_typ = firstPart;\n}\n\n// Baramundi-Job Name extrahieren\nconst jobMatch = raw.match(/Baramundi-Job:\\s*([^|\\n]+)/);\nif (jobMatch) baramundi_job = jobMatch[1].trim();\n\n// Antworttext nach '--- |' extrahieren\nconst sepIdx = raw.indexOf('--- |');\nif (sepIdx !== -1) {\n  antwort_text = raw.substring(sepIdx + 5).trim();\n}\n\n// Fallback: gesamter raw-Text wenn antwort_text leer\nif (!antwort_text && loesung_typ === 'AUTOMATISCHE_ANTWORT') {\n  // Versuche nach '---' ohne Pipe zu suchen\n  const sepIdx2 = raw.indexOf('---');\n  if (sepIdx2 !== -1) {\n    antwort_text = raw.substring(sepIdx2 + 3).replace(/^\\s*\\|\\s*/, '').trim();\n  }\n  // Letzter Fallback: alle Segmente nach dem 4. Pipe-Zeichen\n  if (!antwort_text) {\n    const parts = raw.split('|');\n    if (parts.length > 3) {\n      antwort_text = parts.slice(3).join('|').trim();\n    }\n  }\n}\n\nreturn { json: {\n  ticket_id: ticketId,\n  ticket_number: item.ticket_number,\n  subject: item.subject,\n  customer_email: item.customer_email,\n  loesung_typ,\n  baramundi_job,\n  antwort_text,\n  raw_suggestion: raw\n}};"
      }
    },
    {
      "id": "uuid-is-baramundi",
      "name": "Is Baramundi Job?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 2,
      "position": [1250, 200],
      "parameters": {
        "conditions": {
          "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose" },
          "conditions": [
            {
              "id": "cond-baramundi",
              "leftValue": "={{ $json.loesung_typ }}",
              "rightValue": "BARAMUNDI_JOB",
              "operator": { "type": "string", "operation": "equals" }
            }
          ],
          "combinator": "and"
        }
      }
    },
    {
      "id": "uuid-execute-baramundi",
      "name": "Execute Baramundi Job",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [1450, 100],
      "parameters": {
        "url": "https://baramundi-api.example.com/api/jobs",
        "method": "POST",
        "headers": {
          "Content-Type": "application/json",
          "Authorization": "Bearer YOUR_BARAMUNDI_TOKEN"
        },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({job_name: $json.baramundi_job, ticket_id: $json.ticket_id, description: $json.subject}) }}"
      }
    },
    {
      "id": "uuid-is-auto-reply",
      "name": "Is Auto Reply?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 2,
      "position": [1450, 300],
      "parameters": {
        "conditions": {
          "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose" },
          "conditions": [
            {
              "id": "cond-autoreply",
              "leftValue": "={{ $json.loesung_typ }}",
              "rightValue": "AUTOMATISCHE_ANTWORT",
              "operator": { "type": "string", "operation": "equals" }
            }
          ],
          "combinator": "and"
        }
      }
    },
    {
      "id": "uuid-prepare-email",
      "name": "Prepare Email Body",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [1450, 200],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const p = $('Parse Suggestion').item.json;\nconst rawBody = p.antwort_text || p.raw_suggestion || 'Bitte wenden Sie sich an den IT-Support.';\n\n// 1. Markdown entfernen + Struktur wiederherstellen\nlet clean = rawBody\n  .replace(/¶/g, '\\n')          // ¶-Platzhalter → echte Newlines (neue Tickets)\n  .replace(/\\*\\*/g, '')\n  .replace(/\\*/g, '')\n  .replace(/_{2}/g, '')\n  .replace(/ \\| /g, '\\n')       // Pipe-Trennzeichen → Zeilenumbrüche\n  // Fallback für alte Tickets (flacher Text ohne ¶): Struktur per Regex\n  .replace(/ (\\d{1,2}\\.) ([A-ZÄÖÜ])/g, '\\n\\n$1 $2')  // \" 1. Windows\" → Absatz\n  .replace(/\\. - ([A-ZÄÖÜ])/g, '.\\n- $1')              // \". - Öffnen\" → Aufzählung\n  .replace(/ (Mit freundlichen)/g, '\\n\\n$1')            // Grußformel\n  .replace(/ (Sollten Sie)/g, '\\n\\n$1')                 // Abschlussatz\n  .replace(/[ \\t]{2,}/g, ' ')   // horizontale Mehrfach-Spaces normalisieren\n  .trim();\n\n// 2. Text → HTML konvertieren\n// Absätze: doppelte Newlines → </p><p>\n// Nummerierten Listen erkennen und als <ol><li> ausgeben\nconst paragraphs = clean.split(/\\n{2,}/);\nconst htmlParts = paragraphs.map(para => {\n  const lines = para.split('\\n');\n  // Prüfen ob alle nicht-leeren Zeilen nummerierte Listeneinträge sind\n  const listItems = lines.filter(l => l.trim()).every(l => /^\\d+\\.\\s/.test(l.trim()));\n  if (listItems) {\n    const items = lines.filter(l => l.trim()).map(l => {\n      const text = l.trim().replace(/^\\d+\\.\\s*/, '');\n      return '<li style=\"margin-bottom:6px\">' + text + '</li>';\n    }).join('');\n    return '<ol style=\"padding-left:20px;margin:8px 0\">' + items + '</ol>';\n  }\n  // Einzelne Zeilenumbrüche innerhalb eines Absatzes → <br>\n  return '<p style=\"margin:0 0 12px 0\">' + lines.join('<br>') + '</p>';\n}).join('');\n\n// 3. Plain-Text für Freescout-Logging (Newlines erhalten)\nconst plainText = clean;\n\n// 4. HTML-E-Mail Template (Freescout-Stil: blau-grau, professionell)\nconst emailHtml = `<!DOCTYPE html><html><head><meta charset=\"UTF-8\"><meta name=\"viewport\" content=\"width=device-width,initial-scale=1\"></head><body style=\"margin:0;padding:0;background:#f0f2f5;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Arial,sans-serif\"><table width=\"100%\" cellpadding=\"0\" cellspacing=\"0\" border=\"0\" style=\"background:#f0f2f5;padding:32px 16px\"><tr><td align=\"center\"><table width=\"600\" cellpadding=\"0\" cellspacing=\"0\" border=\"0\" style=\"background:#ffffff;border-radius:8px;overflow:hidden;box-shadow:0 2px 12px rgba(0,0,0,0.08)\"><tr><td style=\"background:#1b6ca8;padding:20px 32px\"><table width=\"100%\" cellpadding=\"0\" cellspacing=\"0\"><tr><td><span style=\"color:#fff;font-size:20px;font-weight:700;letter-spacing:-0.5px\">EKS InTec</span>&nbsp;<span style=\"color:rgba(255,255,255,0.7);font-size:14px\">IT-Support</span></td><td align=\"right\"><span style=\"background:rgba(255,255,255,0.15);color:#fff;font-size:12px;padding:4px 10px;border-radius:12px\">Ticket #${p.ticket_number}</span></td></tr></table></td></tr><tr><td style=\"padding:32px 32px 8px;color:#1a1a1a;font-size:15px;line-height:1.6\">${htmlParts}</td></tr><tr><td style=\"padding:16px 32px 32px\"><table width=\"100%\" cellpadding=\"0\" cellspacing=\"0\"><tr><td style=\"border-top:1px solid #e8eaed;padding-top:16px;font-size:13px;color:#5f6368\">Diese Antwort wurde automatisch durch das IT-Support-System erstellt.<br>Bei weiteren Fragen antworten Sie einfach auf diese E-Mail.</td></tr></table></td></tr><tr><td style=\"background:#f8f9fa;border-top:1px solid #e8eaed;padding:16px 32px\"><table width=\"100%\"><tr><td style=\"font-size:12px;color:#9aa0a6\">EKS InTec GmbH &bull; IT-Support &bull; <a href=\"mailto:it@eks-intec.de\" style=\"color:#1b6ca8;text-decoration:none\">it@eks-intec.de</a></td></tr></table></td></tr></table></td></tr></table></body></html>`;\n\nreturn { json: {\n  ticket_id: p.ticket_id,\n  ticket_number: p.ticket_number,\n  subject: p.subject,\n  customer_email: p.customer_email,\n  loe
      }
    },
    {
      "id": "uuid-send-reply",
      "name": "Send Email Reply",
      "type": "n8n-nodes-base.emailSend",
      "typeVersion": 1,
      "position": [1650, 200],
      "parameters": {
        "fromEmail": "it@eks-intec.de",
        "toEmail": "={{ $json.email_to }}",
        "subject": "={{ $json.email_subject }}",
        "html": "={{ $json.email_html }}",
        "text": "={{ $json.email_body }}",
        "options": {}
      }
    },
    {
      "id": "uuid-log-freescout-reply",
      "name": "Log Reply to Freescout",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [1850, 200],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const parsed = $('Parse Suggestion').item.json;\nconst emailData = $('Prepare Email Body').item.json;\nconst ticketId = parsed.ticket_id;\n// Vollständigen E-Mail-Text in Freescout eintragen (als Agent Reply sichtbar)\n// type=2 = Agent Reply (Freescout: 1=Customer, 2=Message/Agent, 3=Note, 4=LineItem)\n// type=0 existiert NICHT -> Thread.php:420 crasht\n// Zeilenumbrüche -> <br> damit Freescout sie korrekt anzeigt, Quotes escapen\nconst rawBody = (emailData.email_body || 'Automatische Antwort gesendet.')\n  .replace(/'/g, \"''\")\n  .replace(/\\n/g, '<br>\\n');\n// created_at = MAX(existierende Threads) + 1 Sekunde, damit unser Reply\n// immer als neuester Thread erscheint (Freescout zeigt neueste oben).\n// Hintergrund: Kunden-Emails haben created_at aus dem Mail-Header-Datum,\n// das häufig in der Zukunft liegt relativ zum Zeitpunkt unserer Verarbeitung.\nconst query = \"INSERT INTO threads (conversation_id, type, status, state, body, created_by_user_id, user_id, customer_id, source_via, source_type, cc, bcc, created_at, updated_at) SELECT \" + ticketId + \", 2, 1, 2, '\" + rawBody + \"', 1, 1, customer_id, 1, 1, '[]', '[]', GREATEST(NOW(), IFNULL((SELECT MAX(t2.created_at) FROM threads t2 WHERE t2.conversation_id = \" + ticketId + \"), NOW())) + INTERVAL 1 SECOND, NOW() FROM conversations WHERE id = \" + ticketId;\nreturn { json: { query, ticket_id: ticketId } };"
      }
    },
    {
      "id": "uuid-write-freescout-thread",
      "name": "Write Thread to Freescout DB",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [2050, 200],
      "parameters": {
        "url": "http://host.docker.internal:4000/query/freescout",
        "method": "POST",
        "headers": { "Content-Type": "application/json" },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({ query: $json.query }) }}"
      }
    },
    {
      "id": "uuid-mark-escalation",
      "name": "Mark Escalation",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [1650, 400],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "return { json: { ...$input.item.json, action: 'ESKALATION - manuelle Bearbeitung erforderlich' } };"
      }
    },
    {
      "id": "uuid-update-executed",
      "name": "Update Status to EXECUTED",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [2250, 200],
      "parameters": {
        "url": "http://host.docker.internal:4000/query/freescout",
        "method": "POST",
        "headers": { "Content-Type": "application/json" },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({query: \"UPDATE conversation_custom_field SET value = '3' WHERE conversation_id = \" + $('Parse Suggestion').item.json.ticket_id + \" AND custom_field_id = 7\"}) }}"
      }
    },
    {
      "id": "uuid-log-audit",
      "name": "Log to PostgreSQL",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [2450, 200],
      "parameters": {
        "url": "http://host.docker.internal:4000/query/audit",
        "method": "POST",
        "headers": { "Content-Type": "application/json" },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({query: \"INSERT INTO workflow_executions (workflow_name, ticket_id, status, execution_time_ms, created_at) VALUES ('Workflow B - Approval Execution', \" + $('Parse Suggestion').item.json.ticket_id + \", 'SUCCESS', 0, NOW())\"}) }}"
      }
    },
    {
      "id": "uuid-no-approved",
      "name": "No Approved Tickets",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [850, 400],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "return { json: { status: 'no_approved_tickets', timestamp: new Date().toISOString() } };"
      }
    }
  ],
  "connections": {
    "Trigger": {
      "main": [[{"node": "Get Approved Conversations", "index": 0}]]
    },
    "Get Approved Conversations": {
      "main": [[{"node": "Any Approved?", "index": 0}]]
    },
    "Any Approved?": {
      "main": [
        [{"node": "Split into Items", "index": 0}],
        [{"node": "No Approved Tickets", "index": 0}]
      ]
    },
    "Split into Items": {
      "main": [[{"node": "Parse Suggestion", "index": 0}]]
    },
    "Parse Suggestion": {
      "main": [[{"node": "Is Baramundi Job?", "index": 0}]]
    },
    "Is Baramundi Job?": {
      "main": [
        [{"node": "Execute Baramundi Job", "index": 0}],
        [{"node": "Is Auto Reply?", "index": 0}]
      ]
    },
    "Is Auto Reply?": {
      "main": [
        [{"node": "Prepare Email Body", "index": 0}],
        [{"node": "Mark Escalation", "index": 0}]
      ]
    },
    "Prepare Email Body": {
      "main": [[{"node": "Send Email Reply", "index": 0}]]
    },
    "Execute Baramundi Job": {
      "main": [[{"node": "Update Status to EXECUTED", "index": 0}]]
    },
    "Send Email Reply": {
      "main": [[{"node": "Log Reply to Freescout", "index": 0}]]
    },
    "Log Reply to Freescout": {
      "main": [[{"node": "Write Thread to Freescout DB", "index": 0}]]
    },
    "Write Thread to Freescout DB": {
      "main": [[{"node": "Update Status to EXECUTED", "index": 0}]]
    },
    "Mark Escalation": {
      "main": [[{"node": "Update Status to EXECUTED", "index": 0}]]
    },
    "Update Status to EXECUTED": {
      "main": [[{"node": "Log to PostgreSQL", "index": 0}]]
    }
  },
  "active": false,
  "settings": {
    "errorHandler": "continueOnError"
  }
}