fix: chunk size limit + keep MP3s + Respond Accepted fix; add rocinante stack
- Chunk Text: word-level fallback for sentences > 600 chars - watch.py: keep MP3 after transcription - Respond Accepted: remove cross-node reference - rocinante/: Whisper CUDA + watcher stack for RTX 4090 transcription
This commit is contained in:
Paccoco
538
n8n-workflows/08-class-recording-rag-v1.2.json
Normal file
538
n8n-workflows/08-class-recording-rag-v1.2.json
Normal file
@@ -0,0 +1,538 @@
|
||||
{
|
||||
"updatedAt": "2026-05-07T01:16:50.340Z",
|
||||
"createdAt": "2026-05-07T01:16:50.340Z",
|
||||
"id": "91I278E72FAaQenD",
|
||||
"name": "Class Recording \u2192 RAG v1.2",
|
||||
"description": null,
|
||||
"active": true,
|
||||
"isArchived": false,
|
||||
"nodes": [
|
||||
{
|
||||
"parameters": {
|
||||
"httpMethod": "POST",
|
||||
"path": "class/upload",
|
||||
"responseMode": "lastNode",
|
||||
"responseData": "allEntries",
|
||||
"options": {
|
||||
"rawBody": true
|
||||
}
|
||||
},
|
||||
"id": "e475f17b-8560-4376-852e-a613ba6b300e",
|
||||
"name": "Class Upload Webhook",
|
||||
"type": "n8n-nodes-base.webhook",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
0,
|
||||
0
|
||||
],
|
||||
"webhookId": "d0ee8226-db56-477e-8a3f-572a9129aea9"
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"jsCode": "const data = $input.first().json;\nconst body = data.body || data;\n\n// Class name comes from:\n// 1. Form field 'class_name' in multipart upload\n// 2. Query parameter ?class=CS101\n// 3. Header X-Class-Name\nconst className = body.class_name || data.headers?.['x-class-name'] || data.query?.class || 'unclassified';\n\n// Lecture title from:\n// 1. Form field 'lecture_title'\n// 2. Query param ?title=...\n// 3. Header X-Lecture-Title\n// 4. Form field 'filename' (original filename)\nconst rawTitle = body.lecture_title || data.headers?.['x-lecture-title'] || data.query?.title || body.filename || 'Untitled Lecture';\nconst lectureTitle = rawTitle.replace(/\\.(wav|mp3|m4a|ogg)$/i, '').replace(/[-_]/g, ' ');\n\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n json: {\n className,\n classSlug,\n lectureTitle,\n uploadedAt: new Date().toISOString()\n },\n binary: $input.first().binary\n}];"
|
||||
},
|
||||
"id": "24e4a726-ab50-4767-a144-1751616c781d",
|
||||
"name": "Extract Class Info",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
224,
|
||||
0
|
||||
]
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"method": "POST",
|
||||
"url": "http://10.5.1.16:8786/v1/audio/transcriptions",
|
||||
"sendHeaders": true,
|
||||
"headerParameters": {
|
||||
"parameters": [
|
||||
{
|
||||
"name": "Accept",
|
||||
"value": "application/json"
|
||||
}
|
||||
]
|
||||
},
|
||||
"sendBody": true,
|
||||
"contentType": "multipart-form-data",
|
||||
"bodyParameters": {
|
||||
"parameters": [
|
||||
{
|
||||
"parameterType": "formBinaryData",
|
||||
"name": "file",
|
||||
"inputDataFieldName": "data"
|
||||
},
|
||||
{
|
||||
"name": "model",
|
||||
"value": "Systran/faster-distil-whisper-small.en"
|
||||
},
|
||||
{
|
||||
"name": "language",
|
||||
"value": "en"
|
||||
},
|
||||
{
|
||||
"name": "response_format",
|
||||
"value": "verbose_json"
|
||||
}
|
||||
]
|
||||
},
|
||||
"options": {
|
||||
"timeout": 3600000
|
||||
}
|
||||
},
|
||||
"id": "fcd1062d-8f60-4214-85ee-f53b914abcbb",
|
||||
"name": "Whisper Transcribe",
|
||||
"type": "n8n-nodes-base.httpRequest",
|
||||
"typeVersion": 4.2,
|
||||
"position": [
|
||||
448,
|
||||
0
|
||||
]
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"jsCode": "const result = $input.first().json;\nconst classInfo = $('Extract Class Info').first().json;\n\nconst segments = result.segments || [];\nconst fullText = result.text || segments.map(s => s.text).join(' ');\nconst duration = result.duration || segments[segments.length - 1]?.end || 0;\n\nconst timestamped = segments.map(s => {\n const mins = Math.floor(s.start / 60);\n const secs = Math.floor(s.start % 60);\n return `[${mins}:${String(secs).padStart(2, '0')}] ${s.text.trim()}`;\n}).join('\\n');\n\nreturn [{\n json: {\n className: classInfo.className,\n classSlug: classInfo.classSlug,\n lectureTitle: classInfo.lectureTitle,\n fullText: fullText.trim(),\n timestampedText: timestamped,\n durationMinutes: Math.round(duration / 60),\n segmentCount: segments.length\n }\n}];"
|
||||
},
|
||||
"id": "ecf09ad2-327e-4a82-90f3-95da5590e0ac",
|
||||
"name": "Format Transcript",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
672,
|
||||
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 3000 chars):\\n{{ $json.fullText.substring(0, 3000) }}\"\n }\n ],\n \"max_tokens\": 600,\n \"temperature\": 0.2,\n \"response_format\": { \"type\": \"json_object\" }\n}",
|
||||
"options": {}
|
||||
},
|
||||
"id": "e7407d06-f7f4-4105-a817-055d4703d59d",
|
||||
"name": "AI Extract Notes",
|
||||
"type": "n8n-nodes-base.httpRequest",
|
||||
"typeVersion": 4.2,
|
||||
"position": [
|
||||
880,
|
||||
0
|
||||
]
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"jsCode": "const llmResponse = $input.first().json;\nconst transcriptData = $('Format Transcript').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: ${transcriptData.className}`,\n `Lecture: ${transcriptData.lectureTitle}`,\n `Duration: ${transcriptData.durationMinutes} minutes`,\n `Summary: ${notes.summary}`,\n `Key Concepts: ${(notes.key_concepts || []).join(', ')}`,\n '',\n 'Full Transcript:',\n transcriptData.fullText\n].join('\\n');\n\nreturn [{\n json: {\n className: transcriptData.className,\n classSlug: transcriptData.classSlug,\n lectureTitle: transcriptData.lectureTitle,\n durationMinutes: transcriptData.durationMinutes,\n fullText: transcriptData.fullText,\n notes,\n ragText,\n source: `class-${transcriptData.classSlug}-${Date.now()}`,\n metadata: {\n class_name: transcriptData.className,\n class_slug: transcriptData.classSlug,\n lecture_title: transcriptData.lectureTitle,\n duration_minutes: transcriptData.durationMinutes,\n type: 'class_recording',\n recorded_at: new Date().toISOString()\n }\n }\n}];"
|
||||
},
|
||||
"id": "71b0807d-03ba-45b2-b75b-b6fbeee5687e",
|
||||
"name": "Prepare for RAG",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
1104,
|
||||
0
|
||||
]
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"jsCode": "const input = $input.first().json;\nconst text = input.ragText || '';\nconst source = input.source;\nconst metadata = input.metadata;\n\nconst CHUNK_SIZE = 400;\nconst MAX_CHUNK = 600;\nconst OVERLAP = 50;\n\nconst chunks = [];\nconst sentences = text.split(/(?<=[.!?])\\s+/);\nlet current = '';\n\nfor (const sentence of sentences) {\n // If a single sentence exceeds MAX_CHUNK, split it by words first\n const parts = [];\n if (sentence.length > MAX_CHUNK) {\n const words = sentence.split(' ');\n let part = '';\n for (const word of words) {\n if ((part + ' ' + word).length > CHUNK_SIZE && part.length > 0) {\n parts.push(part.trim());\n part = word;\n } else {\n part = part ? part + ' ' + word : word;\n }\n }\n if (part.trim()) parts.push(part.trim());\n } else {\n parts.push(sentence);\n }\n\n for (const part of parts) {\n if ((current + ' ' + part).length > CHUNK_SIZE && current.length > 0) {\n chunks.push(current.trim());\n const words = current.split(' ');\n current = words.slice(-OVERLAP).join(' ') + ' ' + part;\n } else {\n current = current ? current + ' ' + part : part;\n }\n }\n}\nif (current.trim()) chunks.push(current.trim());\n\nreturn chunks.map((chunk, i) => ({\n json: {\n chunk,\n chunkIndex: i,\n totalChunks: chunks.length,\n source,\n metadata\n }\n}));"
|
||||
},
|
||||
"id": "9e4bbe70-72b0-4955-848f-0d1b62ae94a4",
|
||||
"name": "Chunk Text",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
1328,
|
||||
0
|
||||
]
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"method": "POST",
|
||||
"url": "http://10.5.1.6:11434/v1/embeddings",
|
||||
"sendHeaders": true,
|
||||
"headerParameters": {
|
||||
"parameters": [
|
||||
{
|
||||
"name": "Content-Type",
|
||||
"value": "application/json"
|
||||
}
|
||||
]
|
||||
},
|
||||
"sendBody": true,
|
||||
"specifyBody": "json",
|
||||
"jsonBody": "={\n \"model\": \"nomic-embed-text\",\n \"input\": {{ JSON.stringify($json.chunk) }}\n}",
|
||||
"options": {
|
||||
"batching": {
|
||||
"batch": {
|
||||
"batchSize": 5,
|
||||
"batchInterval": 500
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"id": "4ae1ab11-c76f-4478-84e0-7bcdfb20b83b",
|
||||
"name": "Get Embedding",
|
||||
"type": "n8n-nodes-base.httpRequest",
|
||||
"typeVersion": 4.2,
|
||||
"position": [
|
||||
1552,
|
||||
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": "d4232b02-23fc-4cbd-ac2d-2fdbfbe9583a",
|
||||
"name": "Prepare Qdrant Point",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
1760,
|
||||
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": "845a2aa0-2546-431d-96e8-b36875d1fe7d",
|
||||
"name": "Upsert to Qdrant",
|
||||
"type": "n8n-nodes-base.httpRequest",
|
||||
"typeVersion": 4.2,
|
||||
"position": [
|
||||
1984,
|
||||
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": "fmt08-0001-0000-0000-000000000008",
|
||||
"name": "Format Gotify Message",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
1968,
|
||||
0
|
||||
]
|
||||
},
|
||||
{
|
||||
"parameters": {
|
||||
"message": "={{ $json.message }}",
|
||||
"additionalFields": {
|
||||
"priority": "={{ $json.priority }}",
|
||||
"title": "={{ $json.title }}"
|
||||
},
|
||||
"options": {
|
||||
"contentType": "text/plain"
|
||||
}
|
||||
},
|
||||
"id": "5b31b660-c414-40d1-82a5-d68511203133",
|
||||
"name": "Notify via Gotify",
|
||||
"type": "n8n-nodes-base.gotify",
|
||||
"typeVersion": 1,
|
||||
"position": [
|
||||
2208,
|
||||
0
|
||||
],
|
||||
"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');\nconst content = [\n `Lecture Notes: ${rag.lectureTitle}`,\n `Class: ${rag.className}`,\n `Duration: ${rag.durationMinutes} minutes`,\n `Date: ${new Date().toISOString()}`, '',\n `Summary`, `=======`, notes.summary || '', '',\n `Key Concepts`, `=============`, concepts,\n ...(defs ? ['', `Definitions`, `===========`, defs] : []),\n ...(assignments ? ['', `Assignments`, `===========`, assignments] : []),\n '', `Full Transcript`, `================`, rag.fullText || '',\n].join('\\n');\nconst title = `${rag.className} \u2014 ${rag.lectureTitle}`;\nreturn [{ binary: { document: { data: Buffer.from(content,'utf-8').toString('base64'), mimeType:'text/plain', fileName:`${title}.txt` }}, json: { title, className: rag.className } }];\n"
|
||||
},
|
||||
"id": "95aea3a7-3b15-4196-9e4a-dc8f6ed8d49e",
|
||||
"name": "Prepare Notes Doc",
|
||||
"type": "n8n-nodes-base.code",
|
||||
"typeVersion": 2,
|
||||
"position": [
|
||||
2208,
|
||||
-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": "c902a153-ab26-4518-af2a-585f0b72fe6c",
|
||||
"name": "Save Notes to Paperless",
|
||||
"type": "n8n-nodes-base.httpRequest",
|
||||
"typeVersion": 4.2,
|
||||
"position": [
|
||||
2432,
|
||||
-200
|
||||
],
|
||||
"continueOnFail": true
|
||||
}
|
||||
],
|
||||
"connections": {
|
||||
"Class Upload Webhook": {
|
||||
"main": [
|
||||
[
|
||||
{
|
||||
"node": "Extract Class Info",
|
||||
"type": "main",
|
||||
"index": 0
|
||||
}
|
||||
]
|
||||
]
|
||||
},
|
||||
"Extract Class Info": {
|
||||
"main": [
|
||||
[
|
||||
{
|
||||
"node": "Whisper Transcribe",
|
||||
"type": "main",
|
||||
"index": 0
|
||||
}
|
||||
]
|
||||
]
|
||||
},
|
||||
"Whisper Transcribe": {
|
||||
"main": [
|
||||
[
|
||||
{
|
||||
"node": "Format Transcript",
|
||||
"type": "main",
|
||||
"index": 0
|
||||
}
|
||||
]
|
||||
]
|
||||
},
|
||||
"Format Transcript": {
|
||||
"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": {},
|
||||
"versionId": "d64293a7-5537-4b01-a11b-6b838d6cacbf",
|
||||
"activeVersionId": "d64293a7-5537-4b01-a11b-6b838d6cacbf",
|
||||
"versionCounter": 11,
|
||||
"triggerCount": 1,
|
||||
"tags": [
|
||||
{
|
||||
"updatedAt": "2026-05-07T00:49:56.081Z",
|
||||
"createdAt": "2026-05-07T00:49:56.081Z",
|
||||
"id": "Q9lCYtCOuy9XmeyL",
|
||||
"name": "school"
|
||||
},
|
||||
{
|
||||
"updatedAt": "2026-05-06T22:39:59.716Z",
|
||||
"createdAt": "2026-05-06T22:39:59.716Z",
|
||||
"id": "tuPxDoKFqpVrrQoX",
|
||||
"name": "whisper"
|
||||
},
|
||||
{
|
||||
"updatedAt": "2026-05-06T22:39:33.284Z",
|
||||
"createdAt": "2026-05-06T22:39:33.284Z",
|
||||
"id": "7uuEyQrIlcuruZBk",
|
||||
"name": "rag"
|
||||
},
|
||||
{
|
||||
"updatedAt": "2026-05-06T22:38:51.678Z",
|
||||
"createdAt": "2026-05-06T22:38:51.678Z",
|
||||
"id": "S9FxzVfHLsHmyzyt",
|
||||
"name": "ai"
|
||||
}
|
||||
],
|
||||
"shared": [
|
||||
{
|
||||
"updatedAt": "2026-05-07T01:16:50.340Z",
|
||||
"createdAt": "2026-05-07T01:16:50.340Z",
|
||||
"role": "workflow:owner",
|
||||
"workflowId": "91I278E72FAaQenD",
|
||||
"projectId": "dxCRnBdX5uJizCGa",
|
||||
"project": {
|
||||
"updatedAt": "2026-05-06T01:10:37.638Z",
|
||||
"createdAt": "2026-05-06T01:08:07.820Z",
|
||||
"id": "dxCRnBdX5uJizCGa",
|
||||
"name": "Wilfred Fizzlepoof <admin@paccoco.com>",
|
||||
"type": "personal",
|
||||
"icon": null,
|
||||
"description": null,
|
||||
"creatorId": "47b2227f-2fc2-4a08-bd35-ea157b92df0d"
|
||||
}
|
||||
}
|
||||
],
|
||||
"versionMetadata": {
|
||||
"name": "Version d64293a7",
|
||||
"description": ""
|
||||
}
|
||||
}
|
||||
423
n8n-workflows/09-class-transcript-ingest-v1.1.json
Normal file
423
n8n-workflows/09-class-transcript-ingest-v1.1.json
Normal file
@@ -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": {
|
||||
"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} \u2014 ${rag.lectureTitle}`;\nreturn [{\n binary: {\n document: {\n data: Buffer.from(content, 'utf-8').toString('base64'),\n mimeType: 'text/plain',\n fileName: `${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"
|
||||
}
|
||||
]
|
||||
}
|
||||
40
rocinante/docker-compose.yaml
Normal file
40
rocinante/docker-compose.yaml
Normal file
@@ -0,0 +1,40 @@
|
||||
name: rocinante
|
||||
|
||||
services:
|
||||
|
||||
whisper:
|
||||
image: fedirz/faster-whisper-server:latest-cuda
|
||||
container_name: rocinante-whisper
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "8787:8000"
|
||||
environment:
|
||||
WHISPER__MODEL: large-v3
|
||||
WHISPER__INFERENCE_DEVICE: cuda
|
||||
TZ: ${TZ}
|
||||
deploy:
|
||||
resources:
|
||||
reservations:
|
||||
devices:
|
||||
- driver: nvidia
|
||||
count: 1
|
||||
capabilities: [gpu]
|
||||
volumes:
|
||||
- whisper-cache:/root/.cache/huggingface
|
||||
|
||||
watcher:
|
||||
build: ./watcher
|
||||
container_name: rocinante-watcher
|
||||
restart: unless-stopped
|
||||
environment:
|
||||
WHISPER_URL: http://whisper:8000
|
||||
N8N_WEBHOOK_URL: ${N8N_WEBHOOK_URL}
|
||||
WATCH_DIR: /recordings
|
||||
TZ: ${TZ}
|
||||
volumes:
|
||||
- C:/Recordings:/recordings
|
||||
depends_on:
|
||||
- whisper
|
||||
|
||||
volumes:
|
||||
whisper-cache:
|
||||
12
rocinante/watcher/Dockerfile
Normal file
12
rocinante/watcher/Dockerfile
Normal file
@@ -0,0 +1,12 @@
|
||||
FROM python:3.12-slim
|
||||
|
||||
RUN apt-get update && \
|
||||
apt-get install -y --no-install-recommends ffmpeg && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
RUN pip install --no-cache-dir watchdog requests
|
||||
|
||||
COPY watch.py /app/watch.py
|
||||
WORKDIR /app
|
||||
|
||||
CMD ["python", "-u", "watch.py"]
|
||||
213
rocinante/watcher/watch.py
Normal file
213
rocinante/watcher/watch.py
Normal file
@@ -0,0 +1,213 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Class recording watcher for Rocinante.
|
||||
|
||||
Watches C:/Recordings (mounted as /recordings) for new .wav files.
|
||||
For each file detected:
|
||||
1. Waits for the file to finish being written
|
||||
2. Converts WAV -> MP3 via ffmpeg (deletes original WAV)
|
||||
3. Transcribes via local faster-whisper-server (large-v3, CUDA)
|
||||
4. POSTs transcript + metadata to n8n /webhook/class/ingest
|
||||
5. Deletes the MP3
|
||||
|
||||
Folder convention: subfolder name = class name
|
||||
/recordings/HIST-2020/lecture-03-3.wav -> class=HIST-2020, title=lecture 03 3
|
||||
"""
|
||||
|
||||
import os
|
||||
import time
|
||||
import subprocess
|
||||
import logging
|
||||
import requests
|
||||
from pathlib import Path
|
||||
from watchdog.observers.polling import PollingObserver as Observer
|
||||
from watchdog.events import FileSystemEventHandler
|
||||
|
||||
# Config from environment
|
||||
WHISPER_URL = os.environ.get("WHISPER_URL", "http://whisper:8000")
|
||||
N8N_WEBHOOK = os.environ.get("N8N_WEBHOOK_URL", "https://n8n.paccoco.com/webhook/class/ingest")
|
||||
WATCH_DIR = os.environ.get("WATCH_DIR", "/recordings")
|
||||
WHISPER_MODEL = os.environ.get("WHISPER_MODEL", "large-v3")
|
||||
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s %(levelname)-8s %(message)s",
|
||||
datefmt="%Y-%m-%d %H:%M:%S",
|
||||
)
|
||||
log = logging.getLogger("watcher")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def wait_for_file_stable(path: Path, interval: float = 2.0, required_stable: int = 3) -> None:
|
||||
"""Block until the file size stops changing (i.e. the copy is complete)."""
|
||||
log.info(f"Waiting for {path.name} to finish writing...")
|
||||
prev_size = -1
|
||||
stable_count = 0
|
||||
while stable_count < required_stable:
|
||||
try:
|
||||
size = path.stat().st_size
|
||||
except FileNotFoundError:
|
||||
time.sleep(interval)
|
||||
continue
|
||||
if size == prev_size and size > 0:
|
||||
stable_count += 1
|
||||
else:
|
||||
stable_count = 0
|
||||
prev_size = size
|
||||
time.sleep(interval)
|
||||
log.info(f"{path.name} is stable ({prev_size:,} bytes)")
|
||||
|
||||
|
||||
def convert_to_mp3(wav_path: Path) -> Path:
|
||||
mp3_path = wav_path.with_suffix(".mp3")
|
||||
log.info(f"Converting to MP3: {wav_path.name}")
|
||||
result = subprocess.run(
|
||||
[
|
||||
"ffmpeg", "-y",
|
||||
"-i", str(wav_path),
|
||||
"-codec:a", "libmp3lame",
|
||||
"-qscale:a", "4",
|
||||
str(mp3_path),
|
||||
],
|
||||
capture_output=True,
|
||||
text=True,
|
||||
)
|
||||
if result.returncode != 0:
|
||||
raise RuntimeError(f"ffmpeg failed:\n{result.stderr}")
|
||||
wav_path.unlink()
|
||||
log.info(f"Deleted original WAV: {wav_path.name}")
|
||||
return mp3_path
|
||||
|
||||
|
||||
def transcribe(mp3_path: Path) -> dict:
|
||||
log.info(f"Transcribing {mp3_path.name} with {WHISPER_MODEL}...")
|
||||
with open(mp3_path, "rb") as f:
|
||||
resp = requests.post(
|
||||
f"{WHISPER_URL}/v1/audio/transcriptions",
|
||||
files={"file": (mp3_path.name, f, "audio/mpeg")},
|
||||
data={
|
||||
"model": WHISPER_MODEL,
|
||||
"language": "en",
|
||||
"response_format": "verbose_json",
|
||||
},
|
||||
timeout=7200, # 2 hours — large recordings on first load can be slow
|
||||
)
|
||||
resp.raise_for_status()
|
||||
log.info("Transcription complete")
|
||||
return resp.json()
|
||||
|
||||
|
||||
def build_timestamped(segments: list) -> str:
|
||||
lines = []
|
||||
for s in segments:
|
||||
mins = int(s.get("start", 0) // 60)
|
||||
secs = int(s.get("start", 0) % 60)
|
||||
lines.append(f"[{mins}:{secs:02d}] {s.get('text', '').strip()}")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def send_to_n8n(class_name: str, lecture_title: str, result: dict) -> None:
|
||||
segments = result.get("segments", [])
|
||||
full_text = result.get("text", "").strip()
|
||||
duration = result.get("duration") or (segments[-1].get("end", 0) if segments else 0)
|
||||
|
||||
payload = {
|
||||
"class_name": class_name,
|
||||
"lecture_title": lecture_title,
|
||||
"transcript": full_text,
|
||||
"timestamped_transcript": build_timestamped(segments),
|
||||
"duration_seconds": duration,
|
||||
}
|
||||
|
||||
log.info(f"Sending to n8n: {class_name} / {lecture_title} ({len(full_text)} chars)")
|
||||
resp = requests.post(N8N_WEBHOOK, json=payload, timeout=300)
|
||||
resp.raise_for_status()
|
||||
log.info(f"n8n accepted — HTTP {resp.status_code}")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Processing pipeline
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def process_wav(wav_path: Path) -> None:
|
||||
# Must be inside a class subfolder, not the root recordings dir
|
||||
if wav_path.parent == Path(WATCH_DIR):
|
||||
log.warning(f"Skipping {wav_path.name} — drop files into a class subfolder, e.g. /recordings/HIST-2020/")
|
||||
return
|
||||
|
||||
class_name = wav_path.parent.name
|
||||
lecture_title = wav_path.stem.replace("-", " ").replace("_", " ")
|
||||
|
||||
log.info(f"--- Processing: {class_name} / {lecture_title} ---")
|
||||
|
||||
wait_for_file_stable(wav_path)
|
||||
mp3_path = convert_to_mp3(wav_path)
|
||||
|
||||
result = transcribe(mp3_path)
|
||||
send_to_n8n(class_name, lecture_title, result)
|
||||
|
||||
log.info(f"--- Done: {class_name} / {lecture_title} ---")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Watchdog handler
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
class WavHandler(FileSystemEventHandler):
|
||||
def on_created(self, event):
|
||||
if event.is_directory:
|
||||
return
|
||||
path = Path(event.src_path)
|
||||
if path.suffix.lower() == ".wav":
|
||||
log.info(f"Detected new WAV: {path}")
|
||||
try:
|
||||
process_wav(path)
|
||||
except Exception as exc:
|
||||
log.error(f"Failed to process {path}: {exc}", exc_info=True)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Entry point
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def scan_existing(watch_dir: Path) -> None:
|
||||
"""Process any .wav files already present at startup."""
|
||||
existing = list(watch_dir.rglob("*.wav")) + list(watch_dir.rglob("*.WAV"))
|
||||
if not existing:
|
||||
return
|
||||
log.info(f"Found {len(existing)} existing WAV(s) at startup — processing...")
|
||||
for wav in existing:
|
||||
try:
|
||||
process_wav(wav)
|
||||
except Exception as exc:
|
||||
log.error(f"Failed to process {wav}: {exc}", exc_info=True)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
watch_dir = Path(WATCH_DIR)
|
||||
watch_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
log.info(f"Whisper URL : {WHISPER_URL}")
|
||||
log.info(f"n8n webhook : {N8N_WEBHOOK}")
|
||||
log.info(f"Watching : {watch_dir} (recursive)")
|
||||
|
||||
# Process any WAVs already sitting in the folder
|
||||
scan_existing(watch_dir)
|
||||
|
||||
observer = Observer()
|
||||
observer.schedule(WavHandler(), str(watch_dir), recursive=True)
|
||||
observer.start()
|
||||
log.info("Watcher started — drop a .wav into a class subfolder to begin")
|
||||
|
||||
try:
|
||||
while True:
|
||||
time.sleep(1)
|
||||
except KeyboardInterrupt:
|
||||
pass
|
||||
finally:
|
||||
observer.stop()
|
||||
observer.join()
|
||||
log.info("Watcher stopped")
|
||||
Reference in New Issue
Block a user