clean up supabase, MAM automation continues.
This commit is contained in:
@@ -40,7 +40,7 @@
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"genericAuthType": "httpHeaderAuth",
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "={\n \"tor\": {\n \"text\": \"{{ $json.series_name }} m4b\",\n \"srchIn\": [\n \"title\",\n \"author\",\n \"filenames\",\n \"fileTypes\"\n ],\n \"main_cat\": [\n \"13\"\n ],\n \"searchType\": \"all\",\n \"sortType\": \"seedersDesc\"\n }\n}",
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"jsonBody": "={\n \"dlLink\": \"1\",\n \"tor\": {\n \"text\": \" {{ $json.series_name }} m4b\",\n \"srchIn\": [\n \"title\",\n \"author\",\n \"filenames\",\n \"fileTypes\"\n ],\n \"main_cat\": [\n \"13\"\n ],\n \"searchType\": \"all\",\n \"sortType\": \"seedersDesc\"\n }\n}",
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"options": {}
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},
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"type": "n8n-nodes-base.httpRequest",
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@@ -91,7 +91,8 @@
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0
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],
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"id": "aef43627-3228-42ab-a2fe-9f4b50d1a855",
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"name": "Basic LLM Chain"
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"name": "Basic LLM Chain",
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"onError": "continueErrorOutput"
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},
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{
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"parameters": {
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@@ -113,12 +114,15 @@
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"parameters": {
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"model": {
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"__rl": true,
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"value": "gemini_cli/gemini-2.5-flash-lite",
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"value": "gemini_cli/gemini-2.5-flash",
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"mode": "list",
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"cachedResultName": "gemini_cli/gemini-2.5-flash-lite"
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"cachedResultName": "gemini_cli/gemini-2.5-flash"
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},
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"responsesApiEnabled": false,
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"options": {}
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"options": {
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"responseFormat": "json_object",
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"maxRetries": 2
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}
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},
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"typeVersion": 1.3,
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@@ -141,6 +145,19 @@
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"fieldToAggregate": [
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{
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"fieldToAggregate": "data.title"
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},
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{
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"fieldToAggregate": "=data.dl",
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"renameField": true
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},
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{
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"fieldToAggregate": "data.id"
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},
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{
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"fieldToAggregate": "data.series_info"
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},
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{
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"fieldToAggregate": "data.author_info"
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}
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]
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},
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@@ -228,6 +245,64 @@
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"name": "n8n-media"
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}
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}
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},
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{
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"parameters": {
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"mode": "combine",
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"combineBy": "combineByPosition",
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"options": {}
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},
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"type": "n8n-nodes-base.merge",
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"typeVersion": 3.2,
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"position": [
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1328,
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0
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],
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"id": "d8c36a24-7337-453f-b403-f5c631025096",
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"name": "Merge"
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},
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{
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"parameters": {
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"workflowId": {
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"__rl": true,
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"value": "kRZyX9H2uDHHncpE",
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"mode": "list",
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"cachedResultUrl": "/workflow/kRZyX9H2uDHHncpE",
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"cachedResultName": "MAM Transmission Manager"
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},
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"workflowInputs": {
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"mappingMode": "defineBelow",
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"value": {},
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"matchingColumns": [],
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"schema": [],
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"attemptToConvertTypes": false,
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"convertFieldsToString": true
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},
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"mode": "each",
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"options": {}
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},
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"type": "n8n-nodes-base.executeWorkflow",
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"typeVersion": 1.3,
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"position": [
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1728,
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0
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],
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"id": "b6ec81b3-4f62-494e-9437-1a31c82a0299",
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"name": "Call 'MAM Transmission Manager'"
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},
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{
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"parameters": {
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"language": "pythonNative",
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"pythonCode": "# Output list\nresults = []\n\n# Access the input item\ninput_item = _items[0]['json']\n\n# Extract Lists\nmissing_books = input_item.get('data', [])\navailable_titles = input_item.get('title', [])\navailable_ids = input_item.get('id', [])\navailable_series_info = input_item.get('series_info', [])\navailable_author_info = input_item.get('author_info', [])\navailable_catnames = input_item.get('catname', []) # New: For category detection\navailable_tags = input_item.get('tags', []) # New: For category detection\n\n# 1. Match missing titles to their IDs & Metadata\nfor book_title in missing_books:\n # Normalize the target title\n target_clean = str(book_title).strip()\n \n # Find index\n found_index = -1\n for i, title in enumerate(available_titles):\n if str(title).strip() == target_clean:\n found_index = i\n break\n \n if found_index != -1:\n # Get raw data\n book_id = available_ids[found_index]\n series_raw = available_series_info[found_index]\n author_raw = available_author_info[found_index]\n catname_raw = available_catnames[found_index] if i < len(available_catnames) else \"\"\n tags_raw = available_tags[found_index] if i < len(available_tags) else \"\"\n \n # --- PARSING LOGIC ---\n \n # Parse Series\n meta_series = \"Unknown\"\n meta_book_num = \"0\"\n \n if isinstance(series_raw, str):\n import json\n try:\n series_raw = json.loads(series_raw)\n except:\n pass\n\n if isinstance(series_raw, dict):\n keys = list(series_raw.keys())\n if keys:\n data = series_raw[keys[0]]\n if isinstance(data, list) and len(data) >= 2:\n meta_series = str(data[0]).replace(''', \"'\")\n meta_book_num = str(data[1])\n\n # Parse Author\n meta_author = \"Unknown\"\n \n if isinstance(author_raw, str):\n import json\n try:\n author_raw = json.loads(author_raw)\n except:\n pass\n\n if isinstance(author_raw, dict):\n keys = list(author_raw.keys())\n if keys:\n meta_author = str(author_raw[keys[0]])\n\n # --- CATEGORY DETECTION ---\n # Check if \"Light Novel\" or \"Anime\" appears in category name or tags\n is_anime = \"Light Novel\" in str(catname_raw) or \"anime\" in str(tags_raw).lower()\n category = 'anime' if is_anime else 'general'\n\n # Construct download link\n full_url = f\"https://www.myanonamouse.net/tor/download.php?tid={book_id}\"\n \n results.append({\n \"json\": {\n # Metadata\n \"meta_title\": target_clean,\n \"meta_series\": meta_series,\n \"meta_book_number\": meta_book_num,\n \"meta_author\": meta_author,\n \"mam_id\": book_id,\n \"category\": category, # <--- Sending this to the DB now\n \n # Download Info\n \"dl_link\": full_url,\n \"torrent_hash\": \"PENDING\"\n }\n })\n\nreturn results"
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},
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [
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1520,
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0
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],
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"id": "c7496e8c-e307-4659-bdd0-530cd5feeef3",
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"name": "Create Download Links"
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}
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],
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"connections": {
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@@ -305,6 +380,11 @@
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"node": "Select Book Titles",
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"type": "main",
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"index": 0
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},
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{
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"node": "Merge",
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"type": "main",
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"index": 1
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}
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]
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]
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@@ -332,6 +412,40 @@
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]
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},
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"Basic LLM Chain": {
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"main": [
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[
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{
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"node": "Merge",
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"type": "main",
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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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},
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"Merge": {
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"main": [
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[
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{
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"node": "Create Download Links",
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"type": "main",
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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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"Create Download Links": {
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"main": [
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[
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{
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"node": "Call 'MAM Transmission Manager'",
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"type": "main",
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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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"Call 'MAM Transmission Manager'": {
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"main": [
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[]
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]
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@@ -341,8 +455,8 @@
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"executionOrder": "v1",
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"availableInMCP": false
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},
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"triggerCount": 0,
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"versionId": "b179028c-8bde-4e62-8183-1464046a348b",
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"triggerCount": 1,
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"versionId": "8a3af598-bd9e-48e1-a025-cb2059cfebbd",
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"owner": {
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"type": "personal",
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"projectId": "FeLO36wNUAcn61Wj",
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