feat: HTML email template, structured text storage and Freescout design
compose.yaml: - Add hostname n8n.eks-intec.de to fix SMTP HELO rejection - Add NODE_TLS_REJECT_UNAUTHORIZED=0 for internal CA trust workflow-a-http.json: - Replace Set node with Code node for reliable data extraction - Strip HTML from thread bodies before AI analysis - Preserve newlines as ¶ (pilcrow) in DB storage instead of flattening workflow-b-http.json: - Add Prepare Email Body node: restores ¶→\n, strips markdown, converts numbered lists to <ol><li>, generates HTML email template - Switch emailSend from plain text to HTML+text (multipart) - Fix Log Reply to Freescout: use MAX(created_at)+1s to ensure n8n reply appears as newest thread regardless of email header timestamps - Fix emailSend typeVersion 1 with text field for reliable expression support - Correct Freescout thread INSERT: type=2, cc/bcc='[]', customer_id via subquery freescout-templates/: - Modern reply_fancy.blade.php: blue header bar with mailbox name and ticket number badge, quoted thread styling with left border accent, footer - Modern auto_reply.blade.php: matching design for auto-reply emails - Deploy to server: scp to /tmp, apply with sudo cp + artisan view:clear Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Claude Code
@@ -30,42 +30,25 @@
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}
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},
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{
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"id": "uuid-extract-data",
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"name": "Extract Conversation Data",
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"type": "n8n-nodes-base.set",
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"typeVersion": 3,
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"id": "uuid-split-out",
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"name": "Split Array into Items",
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"type": "n8n-nodes-base.splitOut",
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"typeVersion": 1,
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"position": [650, 200],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"name": "ticket_id",
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"value": "={{ $json.id }}",
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"type": "number"
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},
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{
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"name": "ticket_number",
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"value": "={{ $json.number }}",
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"type": "number"
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},
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{
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"name": "subject",
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"value": "={{ $json.subject }}",
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"type": "string"
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},
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{
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"name": "problem_text",
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"value": "={{ ($json.threads_text || 'No description provided').substring(0, 2000) }}",
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"type": "string"
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},
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{
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"name": "customer_email",
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"value": "={{ $json.customer_email }}",
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"type": "string"
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}
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]
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}
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"fieldToSplitOut": "data",
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"options": {}
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}
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},
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{
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"id": "uuid-extract-data",
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"name": "Extract Conversation Data",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [850, 200],
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"parameters": {
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"mode": "runOnceForEachItem",
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"jsCode": "const item = $input.item.json;\n// HTML-Tags entfernen damit die AI lesbaren Text bekommt\nconst rawText = item.threads_text || 'Keine Beschreibung vorhanden';\nconst plainText = rawText\n .replace(/<[^>]+>/g, ' ')\n .replace(/ /g, ' ')\n .replace(/&/g, '&')\n .replace(/</g, '<')\n .replace(/>/g, '>')\n .replace(/"/g, '\"')\n .replace(/\\s+/g, ' ')\n .trim()\n .substring(0, 2000);\nreturn { json: {\n ticket_id: item.id,\n ticket_number: item.number,\n subject: item.subject,\n customer_email: item.customer_email,\n problem_text: plainText\n}};"
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}
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},
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{
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@@ -73,7 +56,7 @@
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"name": "LiteLLM AI Analysis",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4,
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"position": [850, 200],
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"position": [1050, 200],
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"parameters": {
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"url": "http://llm.eks-ai.apps.asgard.eks-lnx.fft-it.de/v1/chat/completions",
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"method": "POST",
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@@ -82,60 +65,54 @@
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},
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "{\"model\":\"gpt-oss_120b_128k-gpu\",\"messages\":[{\"role\":\"system\",\"content\":\"Du bist ein IT-Support-Assistent. Analysiere das folgende IT-Support-Ticket und gib eine strukturierte JSON-Antwort mit folgenden Feldern: kategorie (z.B. Hardware, Software, Netzwerk, Zugriff), lösung_typ (BARAMUNDI_JOB, AUTOMATISCHE_ANTWORT, oder ESKALATION), vertrauen (Dezimal zwischen 0.0 und 1.0 - wie sicher bist du bei dieser Lösung), baramundi_job (Name des Jobs falls BARAMUNDI_JOB), antwort_text (Die Antwort an den Nutzer), begründung (Kurze Erklärung deiner Analyse)\"},{\"role\":\"user\",\"content\":\"Ticket-Nummer: {{$json.ticket_number}}\\nBetreff: {{$json.subject}}\\nProblembeschreibung:\\n{{$json.problem_text}}\\n\\nBitte antworte NUR mit gültiger JSON in dieser Struktur: {\\\"kategorie\\\": \\\"...\\\", \\\"lösung_typ\\\": \\\"...\\\", \\\"vertrauen\\\": 0.75, \\\"baramundi_job\\\": \\\"...\\\", \\\"antwort_text\\\": \\\"...\\\", \\\"begründung\\\": \\\"...\\\"}\"}],\"temperature\":0.7,\"max_tokens\":1000}"
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"jsonBody": "={{ JSON.stringify({model: 'gpt-oss_120b_128k-gpu', messages: [{role: 'system', content: 'Du bist ein IT-Support-Assistent. Analysiere das folgende IT-Support-Ticket und gib eine strukturierte JSON-Antwort mit folgenden Feldern: kategorie (z.B. Hardware, Software, Netzwerk, Zugriff), lösung_typ (BARAMUNDI_JOB, AUTOMATISCHE_ANTWORT, oder ESKALATION), vertrauen (Dezimal zwischen 0.0 und 1.0 - wie sicher bist du bei dieser Lösung), baramundi_job (Name des Jobs falls BARAMUNDI_JOB), antwort_text (Die Antwort an den Nutzer), begründung (Kurze Erklärung deiner Analyse)'}, {role: 'user', content: 'Ticket-Nummer: ' + $json.ticket_number + '\\nBetreff: ' + $json.subject + '\\nProblembeschreibung:\\n' + $json.problem_text + '\\n\\nBitte antworte NUR mit gültiger JSON in dieser Struktur: {\"kategorie\": \"...\", \"lösung_typ\": \"...\", \"vertrauen\": 0.75, \"baramundi_job\": \"...\", \"antwort_text\": \"...\", \"begründung\": \"...\"}'}], temperature: 0.7, max_tokens: 1000}) }}"
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}
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},
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{
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"id": "uuid-parse-response",
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"name": "Parse AI Response",
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"type": "n8n-nodes-base.set",
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"typeVersion": 3,
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"position": [1050, 200],
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [1250, 200],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"name": "response_text",
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"value": "={{ $json.choices?.[0]?.message?.content || '{}' }}",
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"type": "string"
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},
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{
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"name": "ai_response",
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"value": "={{ (function() { try { return JSON.parse($json.response_text); } catch(e) { return {kategorie: 'unknown', lösung_typ: 'ESKALATION', vertrauen: 0.3}; } })() }}",
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"type": "object"
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},
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{
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"name": "vertrauen",
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"value": "={{ $json.ai_response?.vertrauen || 0.3 }}",
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"type": "number"
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}
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]
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}
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"mode": "runOnceForEachItem",
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"jsCode": "const content = $input.item.json.choices[0].message.content;\nconst extractData = $('Extract Conversation Data').item.json;\nconst ticketId = extractData.ticket_id !== undefined ? extractData.ticket_id : extractData.id;\nlet vertrauen = 0.1;\nlet loesung_typ = 'UNBEKANNT';\nlet kategorie = '';\nlet antwort_text = '';\nlet baramundi_job = '';\ntry {\n const parsed = JSON.parse(content);\n vertrauen = typeof parsed.vertrauen === 'number' ? parsed.vertrauen : 0.1;\n loesung_typ = parsed['lösung_typ'] || parsed.loesung_typ || 'UNBEKANNT';\n kategorie = parsed.kategorie || '';\n antwort_text = parsed.antwort_text || '';\n baramundi_job = parsed.baramundi_job || '';\n} catch(e) { vertrauen = 0.1; }\n// Human-readable for Freescout textarea\nconst lines = [loesung_typ + ' | Vertrauen: ' + vertrauen + ' | Kategorie: ' + kategorie];\nif (baramundi_job) lines.push('Baramundi-Job: ' + baramundi_job);\nlines.push('---');\nlines.push(antwort_text);\nconst display_text = lines.join(' | ');\n// SQL-safe: Quotes escapen, Zeilenumbrüche als ¶ (Pilcrow) erhalten damit\n// Workflow B die Struktur der KI-Antwort wiederherstellen kann.\nconst ai_content_sql = display_text.replace(/'/g, \"''\").replace(/\\r/g, '').replace(/\\n/g, '¶');\nconst ai_json_sql = content.replace(/'/g, \"''\").replace(/[\\n\\r]/g, ' ');\nreturn { json: { vertrauen, ticket_id: ticketId, ai_content: content, ai_content_sql, ai_json_sql } };"
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}
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},
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{
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"id": "uuid-check-confidence",
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"name": "Check Confidence >= 0.6",
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"type": "n8n-nodes-base.switch",
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"typeVersion": 1,
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"position": [1250, 200],
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"type": "n8n-nodes-base.if",
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"typeVersion": 2,
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"position": [1450, 200],
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"parameters": {
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"options": [
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{
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"condition": "numberGreaterThanOrEqual",
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"value1": "={{ $json.vertrauen }}",
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"value2": 0.6
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}
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]
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"conditions": {
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"options": {
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"caseSensitive": true,
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"leftValue": "",
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"typeValidation": "loose"
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},
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"conditions": [
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{
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"id": "cond-confidence",
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"leftValue": "={{ $json.vertrauen }}",
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"rightValue": 0.6,
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"operator": {
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"type": "number",
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"operation": "gte"
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}
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}
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],
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"combinator": "and"
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}
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}
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},
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{
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"id": "uuid-save-to-db",
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"name": "Save Suggestion to Freescout DB",
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"id": "uuid-save-ai-suggestion",
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"name": "Save AI Suggestion (field 6)",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4,
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"position": [1450, 100],
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"position": [1650, 100],
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"parameters": {
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"url": "http://host.docker.internal:4000/query/freescout",
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"method": "POST",
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@@ -144,7 +121,41 @@
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},
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "{\"query\":\"INSERT INTO conversation_custom_field (conversation_id, custom_field_id, value) VALUES ({{$json.ticket_id}}, 6, '{{$json.ai_response | json.stringify}}') ON DUPLICATE KEY UPDATE value = VALUES(value); INSERT INTO conversation_custom_field (conversation_id, custom_field_id, value) VALUES ({{$json.ticket_id}}, 7, 'PENDING') ON DUPLICATE KEY UPDATE value = VALUES(value); INSERT INTO conversation_custom_field (conversation_id, custom_field_id, value) VALUES ({{$json.ticket_id}}, 8, '1') ON DUPLICATE KEY UPDATE value = VALUES(value);\"}"
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"jsonBody": "={{ JSON.stringify({query: \"INSERT INTO conversation_custom_field (conversation_id, custom_field_id, value) VALUES (\" + $json.ticket_id + \", 6, '\" + $json.ai_content_sql + \"') ON DUPLICATE KEY UPDATE value = VALUES(value)\"}) }}"
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}
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},
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{
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"id": "uuid-save-status-pending",
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"name": "Save Status PENDING (field 7)",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4,
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"position": [1650, 200],
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"parameters": {
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"url": "http://host.docker.internal:4000/query/freescout",
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"method": "POST",
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"headers": {
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"Content-Type": "application/json"
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},
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "={{ JSON.stringify({query: \"INSERT INTO conversation_custom_field (conversation_id, custom_field_id, value) VALUES (\" + $('Parse AI Response').item.json.ticket_id + \", 7, '0') ON DUPLICATE KEY UPDATE value = VALUES(value)\"}) }}"
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}
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},
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{
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"id": "uuid-save-processed-flag",
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"name": "Save Processed Flag (field 8)",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4,
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"position": [1650, 300],
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"parameters": {
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"url": "http://host.docker.internal:4000/query/freescout",
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"method": "POST",
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"headers": {
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"Content-Type": "application/json"
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},
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "={{ JSON.stringify({query: \"INSERT INTO conversation_custom_field (conversation_id, custom_field_id, value) VALUES (\" + $('Parse AI Response').item.json.ticket_id + \", 8, '1') ON DUPLICATE KEY UPDATE value = VALUES(value)\"}) }}"
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}
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},
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{
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@@ -152,19 +163,22 @@
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"name": "Skip - Low Confidence",
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"type": "n8n-nodes-base.set",
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"typeVersion": 3,
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"position": [1450, 350],
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"position": [1650, 350],
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"parameters": {
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"mode": "manual",
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "assign-skipped",
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"name": "skipped",
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"value": true,
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"type": "boolean"
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},
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{
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"id": "assign-reason",
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"name": "reason",
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"value": "Confidence {{$json.vertrauen}} < 0.6",
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"value": "={{ 'Confidence ' + $json.vertrauen + ' < 0.6' }}",
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"type": "string"
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}
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]
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@@ -175,68 +189,48 @@
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"connections": {
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"Trigger": {
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"main": [
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[
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{
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"node": "Get Unprocessed Conversations",
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"index": 0
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}
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]
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[{"node": "Get Unprocessed Conversations", "index": 0}]
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]
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},
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"Get Unprocessed Conversations": {
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"main": [
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[
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{
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"node": "Extract Conversation Data",
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"index": 0
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}
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]
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[{"node": "Split Array into Items", "index": 0}]
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]
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},
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"Split Array into Items": {
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"main": [
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[{"node": "Extract Conversation Data", "index": 0}]
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]
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},
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"Extract Conversation Data": {
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"main": [
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[
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{
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"node": "LiteLLM AI Analysis",
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"index": 0
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}
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]
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[{"node": "LiteLLM AI Analysis", "index": 0}]
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]
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},
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"LiteLLM AI Analysis": {
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"main": [
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[
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{
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"node": "Parse AI Response",
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"index": 0
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}
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]
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[{"node": "Parse AI Response", "index": 0}]
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]
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},
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"Parse AI Response": {
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"main": [
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[
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{
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"node": "Check Confidence >= 0.6",
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"index": 0
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}
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]
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[{"node": "Check Confidence >= 0.6", "index": 0}]
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]
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},
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"Check Confidence >= 0.6": {
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"main": [
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[
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{
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"node": "Save Suggestion to Freescout DB",
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"index": 0
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}
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],
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[
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{
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"node": "Skip - Low Confidence",
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"index": 0
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}
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]
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[{"node": "Save AI Suggestion (field 6)", "index": 0}],
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[{"node": "Skip - Low Confidence", "index": 0}]
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]
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},
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"Save AI Suggestion (field 6)": {
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"main": [
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[{"node": "Save Status PENDING (field 7)", "index": 0}]
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]
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},
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"Save Status PENDING (field 7)": {
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"main": [
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[{"node": "Save Processed Flag (field 8)", "index": 0}]
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]
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}
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},
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