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fizzlepoof
2026-05-10 09:56:29 -05:00
parent 2048a07abf
commit 22d2d75f6a
24 changed files with 4669 additions and 0 deletions
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363
n8n-workflows/01-grafana-alert-ai-gotify-v1.1.json Normal file
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n8n-workflows/01-grafana-alert-ai-gotify-v1.2.json Normal file
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387
n8n-workflows/01-grafana-alert-ai-gotify-v1.3.json Normal file
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"jsCode": "// Parse Grafana alert payload into a clean summary for the LLM\nconst alerts = $input.first().json.body?.alerts || $input.first().json.alerts || [];\n\nconst parsed = alerts.map(a => ({\n status: a.status || 'unknown',\n alertName: a.labels?.alertname || 'Unnamed Alert',\n host: a.labels?.host || a.labels?.instance || 'unknown host',\n severity: a.labels?.severity || 'warning',\n summary: a.annotations?.summary || '',\n description: a.annotations?.description || '',\n value: a.valueString || '',\n startsAt: a.startsAt || '',\n endsAt: a.endsAt || ''\n}));\n\nconst alertText = parsed.map(a => \n `[${a.status.toUpperCase()}] ${a.alertName} on ${a.host}\\nSeverity: ${a.severity}\\nSummary: ${a.summary}\\nDescription: ${a.description}\\nValue: ${a.value}\\nStarted: ${a.startsAt}`\n).join('\\n---\\n');\n\nreturn [{\n json: {\n alertText,\n alertCount: parsed.length,\n hasResolved: parsed.some(a => a.status === 'resolved'),\n hasFiring: parsed.some(a => a.status === 'firing'),\n parsed\n }\n}];"
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406
n8n-workflows/04-whisper-transcription-v1.1.json Normal file
View File

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{
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538
n8n-workflows/08-class-recording-rag-v1.2.json Normal file
View File

@@ -0,0 +1,538 @@
{
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"url": "http://10.5.1.6:4000/v1/chat/completions",
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"batchInterval": 500
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"url": "https://paperless.paccoco.com/api/documents/post_document/",
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{
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}
}

262
n8n-workflows/09-class-transcript-ingest-v1.0.json Normal file
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@@ -0,0 +1,262 @@
{
"name": "Class Transcript Ingest v1.0",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "class/ingest",
"responseMode": "responseNode",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000001",
"name": "Class Ingest Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [0, 0],
"webhookId": "class-ingest-rocinante-v1"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={ \"status\": \"accepted\" }",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000002",
"name": "Respond Accepted",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [224, -200]
},
{
"parameters": {
"jsCode": "const body = $input.first().json.body || $input.first().json;\n\nconst className = body.class_name || 'unclassified';\nconst lectureTitle = body.lecture_title || 'Untitled Lecture';\nconst fullText = body.transcript || '';\nconst timestampedText = body.timestamped_transcript || fullText;\nconst durationMinutes = Math.round((body.duration_seconds || 0) / 60);\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n json: {\n className,\n classSlug,\n lectureTitle,\n fullText,\n timestampedText,\n durationMinutes\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000003",
"name": "Extract Class Info",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [224, 0]
},
{
"parameters": {
"method": "POST",
"url": "http://10.5.1.6:4000/v1/chat/completions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{ "name": "Content-Type", "value": "application/json" },
{ "name": "Authorization", "value": "=Bearer {{ $env.LITELLM_API_KEY }}" }
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"medium\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are an academic note-taking assistant. Given a class lecture transcription, provide:\\n1. A concise summary (3-5 sentences)\\n2. Key concepts covered (as a list)\\n3. Important definitions or formulas\\n4. Any assignments or deadlines mentioned\\n\\nRespond in JSON with keys: summary, key_concepts (array), definitions (array of {term, definition}), assignments (array)\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Class: {{ $json.className }}\\nLecture: {{ $json.lectureTitle }}\\n\\nTranscription (first 4000 chars):\\n{{ $json.fullText.substring(0, 4000) }}\"\n }\n ],\n \"max_tokens\": 600,\n \"temperature\": 0.2,\n \"response_format\": { \"type\": \"json_object\" }\n}",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000004",
"name": "AI Extract Notes",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [448, 0]
},
{
"parameters": {
"jsCode": "const llmResponse = $input.first().json;\nconst classInfo = $('Extract Class Info').first().json;\n\nlet notes;\ntry {\n notes = JSON.parse(llmResponse.choices?.[0]?.message?.content || '{}');\n} catch(e) {\n notes = { summary: 'Could not parse notes', key_concepts: [], definitions: [], assignments: [] };\n}\n\nconst ragText = [\n `Class: ${classInfo.className}`,\n `Lecture: ${classInfo.lectureTitle}`,\n `Duration: ${classInfo.durationMinutes} minutes`,\n `Summary: ${notes.summary}`,\n `Key Concepts: ${(notes.key_concepts || []).join(', ')}`,\n '',\n 'Full Transcript:',\n classInfo.fullText\n].join('\\n');\n\nreturn [{\n json: {\n className: classInfo.className,\n classSlug: classInfo.classSlug,\n lectureTitle: classInfo.lectureTitle,\n durationMinutes: classInfo.durationMinutes,\n fullText: classInfo.fullText,\n notes,\n ragText,\n source: `class-${classInfo.classSlug}-${Date.now()}`,\n metadata: {\n class_name: classInfo.className,\n class_slug: classInfo.classSlug,\n lecture_title: classInfo.lectureTitle,\n duration_minutes: classInfo.durationMinutes,\n type: 'class_recording',\n recorded_at: new Date().toISOString()\n }\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000005",
"name": "Prepare for RAG",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [672, 0]
},
{
"parameters": {
"jsCode": "const input = $input.first().json;\nconst text = input.ragText || '';\nconst source = input.source;\nconst metadata = input.metadata;\n\nconst CHUNK_SIZE = 400;\nconst MAX_CHUNK = 600;\nconst OVERLAP = 50;\n\nconst chunks = [];\nconst sentences = text.split(/(?<=[.!?])\\s+/);\nlet current = '';\n\nfor (const sentence of sentences) {\n // If a single sentence exceeds MAX_CHUNK, split it by words first\n const parts = [];\n if (sentence.length > MAX_CHUNK) {\n const words = sentence.split(' ');\n let part = '';\n for (const word of words) {\n if ((part + ' ' + word).length > CHUNK_SIZE && part.length > 0) {\n parts.push(part.trim());\n part = word;\n } else {\n part = part ? part + ' ' + word : word;\n }\n }\n if (part.trim()) parts.push(part.trim());\n } else {\n parts.push(sentence);\n }\n\n for (const part of parts) {\n if ((current + ' ' + part).length > CHUNK_SIZE && current.length > 0) {\n chunks.push(current.trim());\n const words = current.split(' ');\n current = words.slice(-OVERLAP).join(' ') + ' ' + part;\n } else {\n current = current ? current + ' ' + part : part;\n }\n }\n}\nif (current.trim()) chunks.push(current.trim());\n\nreturn chunks.map((chunk, i) => ({\n json: { chunk, chunkIndex: i, totalChunks: chunks.length, source, metadata }\n}));"
},
"id": "a1b2c3d4-0001-0001-0001-000000000006",
"name": "Chunk Text",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [896, 0]
},
{
"parameters": {
"method": "POST",
"url": "http://10.5.1.6:11434/v1/embeddings",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{ "name": "Content-Type", "value": "application/json" }
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"nomic-embed-text\",\n \"input\": {{ JSON.stringify($json.chunk) }}\n}",
"options": {
"batching": {
"batch": { "batchSize": 5, "batchInterval": 500 }
}
}
},
"id": "a1b2c3d4-0001-0001-0001-000000000007",
"name": "Get Embedding",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [1120, 0]
},
{
"parameters": {
"jsCode": "const embeddingResponse = $input.first().json;\nconst chunkData = $('Chunk Text').item;\nconst embedding = embeddingResponse.data?.[0]?.embedding || [];\n\nconst pointId = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => {\n const r = Math.random() * 16 | 0;\n return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);\n});\n\nreturn [{\n json: {\n id: pointId,\n vector: embedding,\n payload: {\n text: chunkData.json.chunk,\n source: chunkData.json.source,\n chunkIndex: chunkData.json.chunkIndex,\n totalChunks: chunkData.json.totalChunks,\n metadata: chunkData.json.metadata,\n ingested_at: new Date().toISOString()\n }\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000008",
"name": "Prepare Qdrant Point",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1344, 0]
},
{
"parameters": {
"method": "PUT",
"url": "http://10.5.1.6:6333/collections/knowledge_base/points",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{ "name": "Content-Type", "value": "application/json" }
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"points\": [\n {\n \"id\": \"{{ $json.id }}\",\n \"vector\": {{ JSON.stringify($json.vector) }},\n \"payload\": {{ JSON.stringify($json.payload) }}\n }\n ]\n}",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000009",
"name": "Upsert to Qdrant",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [1568, 0]
},
{
"parameters": {
"jsCode": "const rag = $('Prepare for RAG').first().json;\nreturn [{\n json: {\n title: `🎓 ${rag.className} Lecture Processed`,\n message: `${rag.lectureTitle} (${rag.durationMinutes}min)\\nSummary: ${rag.notes.summary}\\nKey concepts: ${(rag.notes.key_concepts || []).slice(0, 5).join(', ')}`,\n priority: 5\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000010",
"name": "Format Gotify Message",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1552, -200]
},
{
"parameters": {
"message": "={{ $json.message }}",
"additionalFields": {
"priority": "={{ $json.priority }}",
"title": "={{ $json.title }}"
},
"options": { "contentType": "text/plain" }
},
"id": "a1b2c3d4-0001-0001-0001-000000000011",
"name": "Notify via Gotify",
"type": "n8n-nodes-base.gotify",
"typeVersion": 1,
"position": [1776, -200],
"credentials": {
"gotifyApi": {
"id": "SETUP_REQUIRED",
"name": "Class Recordings"
}
}
},
{
"parameters": {
"jsCode": "const rag = $('Prepare for RAG').first().json;\nconst notes = rag.notes || {};\nconst concepts = (notes.key_concepts || []).map((c,i) => `${i+1}. ${c}`).join('\\n');\nconst defList = notes.definitions || [];\nconst defs = Array.isArray(defList)\n ? defList.map(d => `${d.term}: ${d.definition}`).join('\\n')\n : Object.entries(defList).map(([k,v]) => `${k}: ${v}`).join('\\n');\nconst assignments = (notes.assignments || []).map((a,i) => `${i+1}. ${a}`).join('\\n');\n\nconst content = [\n `Lecture Notes: ${rag.lectureTitle}`,\n `Class: ${rag.className}`,\n `Duration: ${rag.durationMinutes} minutes`,\n `Date: ${new Date().toISOString()}`, '',\n `Summary`, `=======`, notes.summary || '', '',\n `Key Concepts`, `=============`, concepts,\n ...(defs ? ['', `Definitions`, `===========`, defs] : []),\n ...(assignments ? ['', `Assignments`, `===========`, assignments] : []),\n '', `Full Transcript`, `================`, rag.fullText || '',\n].join('\\n');\n\nconst title = `${rag.className} — ${rag.lectureTitle}`;\nreturn [{\n binary: {\n document: {\n data: Buffer.from(content, 'utf-8').toString('base64'),\n mimeType: 'text/plain',\n fileName: `${title}.txt`\n }\n },\n json: { title, className: rag.className }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000012",
"name": "Prepare Notes Doc",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1776, 200]
},
{
"parameters": {
"method": "POST",
"url": "https://paperless.paccoco.com/api/documents/post_document/",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{ "name": "Authorization", "value": "=Token {{ $env.PAPERLESS_API_TOKEN }}" }
]
},
"sendBody": true,
"contentType": "multipart-form-data",
"bodyParameters": {
"parameters": [
{ "parameterType": "formBinaryData", "name": "document", "inputDataFieldName": "document" },
{ "name": "title", "value": "={{ $json.title }}" },
{ "name": "tags[]", "value": "={{ $env.PAPERLESS_TAG_LECTURE_NOTES }}" }
]
},
"options": {
"response": {
"response": { "responseFormat": "text" }
}
}
},
"id": "a1b2c3d4-0001-0001-0001-000000000013",
"name": "Save Notes to Paperless",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [2000, 200],
"continueOnFail": true
}
],
"connections": {
"Class Ingest Webhook": {
"main": [[
{ "node": "Extract Class Info", "type": "main", "index": 0 },
{ "node": "Respond Accepted", "type": "main", "index": 0 }
]]
},
"Extract Class Info": {
"main": [[{ "node": "AI Extract Notes", "type": "main", "index": 0 }]]
},
"AI Extract Notes": {
"main": [[{ "node": "Prepare for RAG", "type": "main", "index": 0 }]]
},
"Prepare for RAG": {
"main": [[{ "node": "Chunk Text", "type": "main", "index": 0 }]]
},
"Chunk Text": {
"main": [[{ "node": "Get Embedding", "type": "main", "index": 0 }]]
},
"Get Embedding": {
"main": [[{ "node": "Prepare Qdrant Point", "type": "main", "index": 0 }]]
},
"Prepare Qdrant Point": {
"main": [[{ "node": "Upsert to Qdrant", "type": "main", "index": 0 }]]
},
"Upsert to Qdrant": {
"main": [[
{ "node": "Format Gotify Message", "type": "main", "index": 0 },
{ "node": "Prepare Notes Doc", "type": "main", "index": 0 }
]]
},
"Format Gotify Message": {
"main": [[{ "node": "Notify via Gotify", "type": "main", "index": 0 }]]
},
"Prepare Notes Doc": {
"main": [[{ "node": "Save Notes to Paperless", "type": "main", "index": 0 }]]
}
},
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"staticData": null,
"meta": null,
"pinData": {},
"tags": [
{ "name": "school" },
{ "name": "rag" },
{ "name": "ai" }
]
}

423
n8n-workflows/09-class-transcript-ingest-v1.1.json Normal file
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@@ -0,0 +1,423 @@
{
"name": "Class Transcript Ingest v1.1",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "class/ingest",
"responseMode": "responseNode",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000001",
"name": "Class Ingest Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
0,
0
],
"webhookId": "class-ingest-rocinante-v1"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={ \"status\": \"accepted\" }",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000002",
"name": "Respond Accepted",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
224,
-200
]
},
{
"parameters": {
"jsCode": "const body = $input.first().json.body || $input.first().json;\n\nconst className = body.class_name || 'unclassified';\nconst lectureTitle = body.lecture_title || 'Untitled Lecture';\nconst fullText = body.transcript || '';\nconst timestampedText = body.timestamped_transcript || fullText;\nconst durationMinutes = Math.round((body.duration_seconds || 0) / 60);\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n json: {\n className,\n classSlug,\n lectureTitle,\n fullText,\n timestampedText,\n durationMinutes\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000003",
"name": "Extract Class Info",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
0
]
},
{
"parameters": {
"method": "POST",
"url": "http://10.5.1.6:4000/v1/chat/completions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Authorization",
"value": "=Bearer {{ $env.LITELLM_API_KEY }}"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"medium\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are an academic note-taking assistant. Given a class lecture transcription, provide:\\n1. A concise summary (3-5 sentences)\\n2. Key concepts covered (as a list)\\n3. Important definitions or formulas\\n4. Any assignments or deadlines mentioned\\n\\nRespond in JSON with keys: summary, key_concepts (array), definitions (array of {term, definition}), assignments (array)\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Class: {{ $json.className }}\\nLecture: {{ $json.lectureTitle }}\\n\\nTranscription (first 4000 chars):\\n{{ $json.fullText.substring(0, 4000) }}\"\n }\n ],\n \"max_tokens\": 600,\n \"temperature\": 0.2,\n \"response_format\": { \"type\": \"json_object\" }\n}",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000004",
"name": "AI Extract Notes",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
448,
0
]
},
{
"parameters": {
"jsCode": "const llmResponse = $input.first().json;\nconst classInfo = $('Extract Class Info').first().json;\n\nlet notes;\ntry {\n notes = JSON.parse(llmResponse.choices?.[0]?.message?.content || '{}');\n} catch(e) {\n notes = { summary: 'Could not parse notes', key_concepts: [], definitions: [], assignments: [] };\n}\n\nconst ragText = [\n `Class: ${classInfo.className}`,\n `Lecture: ${classInfo.lectureTitle}`,\n `Duration: ${classInfo.durationMinutes} minutes`,\n `Summary: ${notes.summary}`,\n `Key Concepts: ${(notes.key_concepts || []).join(', ')}`,\n '',\n 'Full Transcript:',\n classInfo.fullText\n].join('\\n');\n\nreturn [{\n json: {\n className: classInfo.className,\n classSlug: classInfo.classSlug,\n lectureTitle: classInfo.lectureTitle,\n durationMinutes: classInfo.durationMinutes,\n fullText: classInfo.fullText,\n notes,\n ragText,\n source: `class-${classInfo.classSlug}-${Date.now()}`,\n metadata: {\n class_name: classInfo.className,\n class_slug: classInfo.classSlug,\n lecture_title: classInfo.lectureTitle,\n duration_minutes: classInfo.durationMinutes,\n type: 'class_recording',\n recorded_at: new Date().toISOString()\n }\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000005",
"name": "Prepare for RAG",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
672,
0
]
},
{
"parameters": {
"jsCode": "const input = $input.first().json;\nconst text = input.ragText || '';\nconst source = input.source;\nconst metadata = input.metadata;\n\nconst CHUNK_SIZE = 400;\nconst MAX_CHUNK = 600;\nconst OVERLAP = 50;\n\nconst chunks = [];\nconst sentences = text.split(/(?<=[.!?])\\s+/);\nlet current = '';\n\nfor (const sentence of sentences) {\n // If a single sentence exceeds MAX_CHUNK, split it by words first\n const parts = [];\n if (sentence.length > MAX_CHUNK) {\n const words = sentence.split(' ');\n let part = '';\n for (const word of words) {\n if ((part + ' ' + word).length > CHUNK_SIZE && part.length > 0) {\n parts.push(part.trim());\n part = word;\n } else {\n part = part ? part + ' ' + word : word;\n }\n }\n if (part.trim()) parts.push(part.trim());\n } else {\n parts.push(sentence);\n }\n\n for (const part of parts) {\n if ((current + ' ' + part).length > CHUNK_SIZE && current.length > 0) {\n chunks.push(current.trim());\n const words = current.split(' ');\n current = words.slice(-OVERLAP).join(' ') + ' ' + part;\n } else {\n current = current ? current + ' ' + part : part;\n }\n }\n}\nif (current.trim()) chunks.push(current.trim());\n\nreturn chunks.map((chunk, i) => ({\n json: { chunk, chunkIndex: i, totalChunks: chunks.length, source, metadata }\n}));"
},
"id": "a1b2c3d4-0001-0001-0001-000000000006",
"name": "Chunk Text",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
896,
0
]
},
{
"parameters": {
"method": "POST",
"url": "http://10.5.1.6:11434/v1/embeddings",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"nomic-embed-text\",\n \"input\": {{ JSON.stringify($json.chunk) }}\n}",
"options": {
"batching": {
"batch": {
"batchSize": 5,
"batchInterval": 500
}
}
}
},
"id": "a1b2c3d4-0001-0001-0001-000000000007",
"name": "Get Embedding",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1120,
0
]
},
{
"parameters": {
"jsCode": "const embeddingResponse = $input.first().json;\nconst chunkData = $('Chunk Text').item;\nconst embedding = embeddingResponse.data?.[0]?.embedding || [];\n\nconst pointId = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => {\n const r = Math.random() * 16 | 0;\n return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);\n});\n\nreturn [{\n json: {\n id: pointId,\n vector: embedding,\n payload: {\n text: chunkData.json.chunk,\n source: chunkData.json.source,\n chunkIndex: chunkData.json.chunkIndex,\n totalChunks: chunkData.json.totalChunks,\n metadata: chunkData.json.metadata,\n ingested_at: new Date().toISOString()\n }\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000008",
"name": "Prepare Qdrant Point",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1344,
0
]
},
{
"parameters": {
"method": "PUT",
"url": "http://10.5.1.6:6333/collections/knowledge_base/points",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"points\": [\n {\n \"id\": \"{{ $json.id }}\",\n \"vector\": {{ JSON.stringify($json.vector) }},\n \"payload\": {{ JSON.stringify($json.payload) }}\n }\n ]\n}",
"options": {}
},
"id": "a1b2c3d4-0001-0001-0001-000000000009",
"name": "Upsert to Qdrant",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1568,
0
]
},
{
"parameters": {
"jsCode": "const rag = $('Prepare for RAG').first().json;\nreturn [{\n json: {\n title: `\ud83c\udf93 ${rag.className} Lecture Processed`,\n message: `${rag.lectureTitle} (${rag.durationMinutes}min)\\nSummary: ${rag.notes.summary}\\nKey concepts: ${(rag.notes.key_concepts || []).slice(0, 5).join(', ')}`,\n priority: 5\n }\n}];"
},
"id": "a1b2c3d4-0001-0001-0001-000000000010",
"name": "Format Gotify Message",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1552,
-200
]
},
{
"parameters": {
"message": "={{ $json.message }}",
"additionalFields": {
"priority": "={{ $json.priority }}",
"title": "={{ $json.title }}"
},
"options": {
"contentType": "text/plain"
}
},
"id": "a1b2c3d4-0001-0001-0001-000000000011",
"name": "Notify via Gotify",
"type": "n8n-nodes-base.gotify",
"typeVersion": 1,
"position": [
1776,
-200
],
"credentials": {
"gotifyApi": {
"id": "SETUP_REQUIRED",
"name": "Class Recordings"
}
}
},
{
"parameters": {
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},
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]
},
{
"parameters": {
"method": "POST",
"url": "https://paperless.paccoco.com/api/documents/post_document/",
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{
"name": "Authorization",
"value": "=Token {{ $env.PAPERLESS_API_TOKEN }}"
}
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},
"sendBody": true,
"contentType": "multipart-form-data",
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"name": "document",
"inputDataFieldName": "document"
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{
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"value": "={{ $json.title }}"
},
{
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}
]
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}
}
}
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"position": [
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200
],
"continueOnFail": true
}
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{
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},
{
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}
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"type": "main",
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{
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},
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},
{
"name": "ai"
}
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}

293
n8n-workflows/14-paperless-inbox-reminder-v1.1.json Normal file
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@@ -0,0 +1,293 @@
{
"name": "Paperless Inbox Reminder v1.1",
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
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{
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},
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},
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]
},
{
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"jsCode": "return [{ json: { title: '\u2705 Paperless Inbox Clear', message: 'No untagged documents \u2014 inbox is clean.', priority: 1 } }];"
},
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"position": [
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]
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"title": "={{ $json.title }}"
},
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"contentType": "text/plain"
}
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"typeVersion": 1,
"position": [
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],
"credentials": {
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"name": "Reminders"
}
}
},
{
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"message": "={{ $json.message }}",
"additionalFields": {
"priority": "={{ $json.priority }}",
"title": "={{ $json.title }}"
},
"options": {
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},
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],
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}
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],
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{
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}
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}
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]
},
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{
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}
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]
}
},
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"binaryMode": "separate"
},
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"meta": null,
"pinData": {},
"tags": [
{
"name": "reminders"
},
{
"name": "paperless"
},
{
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}
],
"id": "2b80579b-8d89-42d5-8b8b-9137f59ea206"
}

0
n8n-workflows/14-paperless-inbox-reminder-v1.2.json Executable file → Normal file
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384
n8n-workflows/15-n8n-health-monitor-v1.1.json Normal file
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@@ -0,0 +1,384 @@
{
"name": "n8n Self-Health Monitor v1.1",
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "minutes",
"minutesInterval": 15
}
]
}
},
"id": "dabcb0ae-d513-410e-b779-4570df5c4a35",
"name": "Every 15 Minutes",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
0,
0
]
},
{
"parameters": {
"method": "GET",
"url": "http://10.5.1.6:5678/api/v1/executions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "X-N8N-API-KEY",
"value": "={{ $env.N8N_API_KEY }}"
}
]
},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "status",
"value": "error"
},
{
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"value": "false"
},
{
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}
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"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
224,
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]
},
{
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"jsCode": "const data = $input.first().json;\nconst executions = data.data || [];\nconst oneHourAgo = Date.now() - (60 * 60 * 1000);\n\n// Filter to failures in the past hour\nconst recent = executions.filter(e => {\n const ts = new Date(e.startedAt || e.stoppedAt || 0).getTime();\n return ts >= oneHourAgo;\n});\n\n// Group by workflow name + error message for dedup key\nconst failures = recent.map(e => ({\n executionId: e.id,\n workflowId: e.workflowId,\n workflowName: e.workflowData?.name || `Workflow ${e.workflowId}`,\n startedAt: e.startedAt,\n stoppedAt: e.stoppedAt,\n errorMessage: e.data?.resultData?.error?.message || 'Unknown error'\n}));\n\n// Deduplicate by workflowName (report once per workflow per check)\nconst seen = new Set();\nconst unique = failures.filter(f => {\n if (seen.has(f.workflowName)) return false;\n seen.add(f.workflowName);\n return true;\n});\n\nreturn [{ json: { hasFailures: unique.length > 0, hasFailuresStr: unique.length > 0 ? 'yes' : 'no', count: unique.length, failures: unique } }];"
},
"id": "f5d47910-5047-4c4f-aa84-a6907aa38551",
"name": "Filter Recent Failures",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
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0
]
},
{
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"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "02ff82df-a31d-491b-9cd1-96874c8ae2fe",
"leftValue": "={{ $json.hasFailuresStr }}",
"rightValue": "yes",
"operator": {
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"operation": "equals"
}
}
],
"combinator": "and"
}
},
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"position": [
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{
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"jsCode": "const d = $input.first().json;\n// Fingerprint = sorted workflow names joined \u2014 stable across retriggers\nconst fingerprint = (d.failures || [])\n .map(f => f.workflowName)\n .sort()\n .join('|') || 'unknown';\nreturn [{ json: { ...d, fingerprint } }];"
},
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"name": "Build Fingerprint",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
896,
-120
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT fingerprint, last_seen FROM n8n_health_dedup WHERE fingerprint = '{{ $json.fingerprint }}' AND last_seen > NOW() - INTERVAL '1 hour' LIMIT 1;",
"options": {}
},
"id": "15a3dd71-bc5b-4396-9534-63518e097438",
"name": "Lookup Dedup",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
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],
"credentials": {
"postgres": {
"id": "n9svoXemqSZoNNUB",
"name": "Postgres account"
}
},
"continueOnFail": true
},
{
"parameters": {
"jsCode": "const alertData = $('Build Fingerprint').first().json;\nconst rows = $input.all().filter(r => r.json && r.json.fingerprint);\nconst alreadyNotified = rows.length > 0;\nreturn [{ json: { ...alertData, alreadyNotified, shouldNotify: !alreadyNotified, shouldNotifyStr: !alreadyNotified ? 'yes' : 'no' } }];"
},
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"type": "n8n-nodes-base.code",
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"position": [
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]
},
{
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},
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{
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}
}
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}
},
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"typeVersion": 2.2,
"position": [
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]
},
{
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO n8n_health_dedup (fingerprint, last_seen, workflow_names) VALUES ('{{ $json.fingerprint }}', NOW(), '{{ $json.failures.map(f => f.workflowName).join(\", \") }}') ON CONFLICT (fingerprint) DO UPDATE SET last_seen = NOW(), workflow_names = EXCLUDED.workflow_names;",
"options": {}
},
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"name": "Upsert Dedup Record",
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"position": [
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],
"credentials": {
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}
}
},
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"jsCode": "const d = $('Build Fingerprint').first().json;\nconst lines = (d.failures || []).map(f =>\n ` \u2022 ${f.workflowName}\\n ${f.errorMessage.substring(0, 120)}`\n);\nconst body = `${d.count} workflow${d.count !== 1 ? 's' : ''} failed in the past hour:\\n\\n${lines.join('\\n')}\\n\\nhttps://n8n.paccoco.com`;\nreturn [{ json: { title: `\u26a0\ufe0f n8n: ${d.count} Workflow Failure${d.count !== 1 ? 's' : ''}`, message: body, priority: 7 } }];"
},
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]
},
{
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],
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}
}
],
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[
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}
]
]
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}
]
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},
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},
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[]
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}
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"Format Notification": {
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}
},
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{
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},
{
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],
"id": "febfda9b-0f4e-40b5-ab84-82ba9b7fcf29"
}

0
n8n-workflows/15-n8n-health-monitor-v1.2.json Executable file → Normal file
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450
n8n-workflows/16-nfs-watchdog-v1.1.json Normal file
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@@ -0,0 +1,450 @@
{
"name": "NFS Mount Watchdog + Auto-Heal v1.1",
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
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"minutesInterval": 5
}
]
}
},
"id": "8c466a67-a0fa-42dc-8ed8-0918834fc3a7",
"name": "Every 5 Minutes",
"type": "n8n-nodes-base.scheduleTrigger",
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"position": [
0,
0
]
},
{
"parameters": {
"command": "mountpoint -q /mnt/unraid/data/media && echo MEDIA_OK || echo MEDIA_MISSING; mountpoint -q /mnt/unraid/data/photos && echo PHOTOS_OK || echo PHOTOS_MISSING"
},
"id": "f5b2fee9-d67a-4da7-80dd-f72e6078aed9",
"name": "Probe Mounts",
"type": "n8n-nodes-base.ssh",
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],
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},
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"jsCode": "\nconst out = ($input.first().json.stdout || '') + ($input.first().json.stderr || '');\nconst mediaOk = out.includes('MEDIA_OK');\nconst photosOk = out.includes('PHOTOS_OK');\nconst missing = [];\nif (!mediaOk) missing.push({ mount: '/mnt/unraid/data/media', label: 'media',\n containers: ['plex','audiobookshelf'] });\nif (!photosOk) missing.push({ mount: '/mnt/unraid/data/photos', label: 'photos',\n containers: ['immich-server','immich-microservices','immich-machine-learning'] });\nreturn [{ json: { mediaOk, photosOk, anyMissing: missing.length > 0, anyMissingStr: missing.length > 0 ? 'yes' : 'no', missing } }];\n"
},
"id": "25bb3239-49cb-4570-b706-4022b9aa751c",
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"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "70384f84-9d15-4e45-b295-67202a39a227",
"leftValue": "={{ $json.anyMissingStr }}",
"rightValue": "yes",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
}
},
"id": "68b74832-85a7-4193-9382-a0c22a666e66",
"name": "Any Missing?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
672,
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]
},
{
"parameters": {
"command": "sudo bash /mnt/tank/docker/scripts/mount-unraid-nfs.sh 2>&1"
},
"id": "b18c7537-0c2f-4122-bfe5-6469d6be6853",
"name": "Run Mount Script",
"type": "n8n-nodes-base.ssh",
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"position": [
896,
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],
"credentials": {
"sshPrivateKey": {
"id": "SETUP_REQUIRED",
"name": "PD SSH"
}
},
"continueOnFail": true
},
{
"parameters": {
"resume": "timeInterval",
"unit": "seconds",
"value": 10
},
"id": "2e927f83-9ddc-4816-8ee6-76d21ce21a5e",
"name": "Wait 10s",
"type": "n8n-nodes-base.wait",
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"position": [
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-120
],
"webhookId": "4e89e8d0-7f08-4378-a2b7-63756665b039"
},
{
"parameters": {
"command": "mountpoint -q /mnt/unraid/data/media && echo MEDIA_OK || echo MEDIA_MISSING; mountpoint -q /mnt/unraid/data/photos && echo PHOTOS_OK || echo PHOTOS_MISSING"
},
"id": "d15c0c90-e94f-404a-a787-75f1b1b5befa",
"name": "Re-probe Mounts",
"type": "n8n-nodes-base.ssh",
"typeVersion": 1,
"position": [
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],
"credentials": {
"sshPrivateKey": {
"id": "SETUP_REQUIRED",
"name": "PD SSH"
}
},
"continueOnFail": true
},
{
"parameters": {
"jsCode": "\nconst out = ($input.first().json.stdout || '') + ($input.first().json.stderr || '');\nconst mediaOk = out.includes('MEDIA_OK');\nconst photosOk = out.includes('PHOTOS_OK');\n\n// What was originally missing (from step 3)\nconst originalMissing = $('Parse Mount Status').first().json.missing || [];\n\n// Which of the originally-missing mounts are now up?\nconst healed = originalMissing.filter(m =>\n (m.label === 'media' && mediaOk) ||\n (m.label === 'photos' && photosOk)\n);\nconst stillDown = originalMissing.filter(m =>\n (m.label === 'media' && !mediaOk) ||\n (m.label === 'photos' && !photosOk)\n);\n\n// Build flat container list to restart (only for healed mounts)\nconst containersToRestart = [...new Set(healed.flatMap(m => m.containers))];\nconst restartCmd = containersToRestart.length > 0\n ? `sudo docker restart ${containersToRestart.join(' ')}`\n : 'echo NO_RESTART_NEEDED';\n\nreturn [{ json: {\n allHealed: stillDown.length === 0, allHealedStr: stillDown.length === 0 ? 'yes' : 'no',\n healed, stillDown,\n containersToRestart,\n restartCmd,\n originalMissing\n}}];\n"
},
"id": "48de38c2-df08-406f-ad61-809ca6e306a1",
"name": "Parse Heal Result",
"type": "n8n-nodes-base.code",
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"position": [
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]
},
{
"parameters": {
"conditions": {
"options": {
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"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "32b2dfd5-9958-45d4-94fc-410ce4d9543d",
"leftValue": "={{ $json.allHealedStr }}",
"rightValue": "yes",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
}
},
"id": "29a1b544-97b3-433f-9821-2bf5a8af95d2",
"name": "Healed?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1792,
-120
]
},
{
"parameters": {
"command": "={{ $json.restartCmd }}"
},
"id": "8d791509-9e18-44c1-bf58-ed3027927710",
"name": "Restart Containers",
"type": "n8n-nodes-base.ssh",
"typeVersion": 1,
"position": [
2016,
-240
],
"credentials": {
"sshPrivateKey": {
"id": "SETUP_REQUIRED",
"name": "PD SSH"
}
},
"continueOnFail": true
},
{
"parameters": {
"jsCode": "\nconst d = $('Parse Heal Result').first().json;\nconst mountList = d.healed.map(m => ` \u2022 ${m.mount}`).join('\\n');\nconst containers = d.containersToRestart.join(', ') || 'none';\nconst body = `NFS mounts were missing and have been automatically remounted.\\n\\nRemounted:\\n${mountList}\\n\\nContainers restarted: ${containers}`;\nreturn [{ json: { title: '\ud83d\udd17 NFS Auto-Healed', message: body, priority: 5 } }];\n"
},
"id": "75c8976f-d622-43cd-a332-72c32f0c7c60",
"name": "Format Healed Notify",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2240,
-240
]
},
{
"parameters": {
"message": "={{ $json.message }}",
"additionalFields": {
"priority": "={{ $json.priority }}",
"title": "={{ $json.title }}"
},
"options": {
"contentType": "text/plain"
}
},
"id": "38705cd2-775b-4ef9-b470-4a7709f132e5",
"name": "Gotify (Healed)",
"type": "n8n-nodes-base.gotify",
"typeVersion": 1,
"position": [
2464,
-240
],
"credentials": {
"gotifyApi": {
"id": "SETUP_REQUIRED",
"name": "Uptime / Infra"
}
}
},
{
"parameters": {
"jsCode": "\nconst d = $('Parse Heal Result').first().json;\nconst downList = d.stillDown.map(m => ` \u2022 ${m.mount}`).join('\\n');\nconst healedList = d.healed.length > 0\n ? `\\nPartially healed:\\n${d.healed.map(m => ' \u2022 ' + m.mount).join('\\n')}`\n : '';\nconst body = `NFS mount script ran but the following paths are still unavailable. Manual intervention required.\\n\\nStill down:\\n${downList}${healedList}\\n\\nCheck Serenity (TrueNAS) is up and NFS service is running.`;\nreturn [{ json: { title: '\ud83d\udea8 NFS Down \u2014 Manual Fix Needed', message: body, priority: 9 } }];\n"
},
"id": "074b984f-7fc2-45bc-b97f-f5db4d8d589b",
"name": "Format Escalation",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2016,
-20
]
},
{
"parameters": {
"message": "={{ $json.message }}",
"additionalFields": {
"priority": "={{ $json.priority }}",
"title": "={{ $json.title }}"
},
"options": {
"contentType": "text/plain"
}
},
"id": "f929dd77-6072-4ac9-9dc4-11246110efed",
"name": "Gotify (Escalation)",
"type": "n8n-nodes-base.gotify",
"typeVersion": 1,
"position": [
2240,
-20
],
"credentials": {
"gotifyApi": {
"id": "SETUP_REQUIRED",
"name": "Uptime / Infra"
}
}
}
],
"connections": {
"Every 5 Minutes": {
"main": [
[
{
"node": "Probe Mounts",
"type": "main",
"index": 0
}
]
]
},
"Probe Mounts": {
"main": [
[
{
"node": "Parse Mount Status",
"type": "main",
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}
]
]
},
"Parse Mount Status": {
"main": [
[
{
"node": "Any Missing?",
"type": "main",
"index": 0
}
]
]
},
"Any Missing?": {
"main": [
[
{
"node": "Run Mount Script",
"type": "main",
"index": 0
}
],
[]
]
},
"Run Mount Script": {
"main": [
[
{
"node": "Wait 10s",
"type": "main",
"index": 0
}
]
]
},
"Wait 10s": {
"main": [
[
{
"node": "Re-probe Mounts",
"type": "main",
"index": 0
}
]
]
},
"Re-probe Mounts": {
"main": [
[
{
"node": "Parse Heal Result",
"type": "main",
"index": 0
}
]
]
},
"Parse Heal Result": {
"main": [
[
{
"node": "Healed?",
"type": "main",
"index": 0
}
]
]
},
"Healed?": {
"main": [
[
{
"node": "Restart Containers",
"type": "main",
"index": 0
}
],
[
{
"node": "Format Escalation",
"type": "main",
"index": 0
}
]
]
},
"Restart Containers": {
"main": [
[
{
"node": "Format Healed Notify",
"type": "main",
"index": 0
}
]
]
},
"Format Healed Notify": {
"main": [
[
{
"node": "Gotify (Healed)",
"type": "main",
"index": 0
}
]
]
},
"Format Escalation": {
"main": [
[
{
"node": "Gotify (Escalation)",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
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"tags": [
{
"name": "monitoring"
},
{
"name": "infrastructure"
},
{
"name": "scheduled"
}
],
"id": "8587d430-3d53-4559-b610-214e12164c14"
}

0
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