198 lines
6.6 KiB
JSON
198 lines
6.6 KiB
JSON
{
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"name": "Keyword Cloud Data Collection",
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"nodes": [
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{
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"parameters": {
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"rule": {
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"interval": [
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{
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"cron": "0 0 23 28-31 * *"
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}
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]
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}
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},
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"id": "schedule-trigger",
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"name": "Schedule Trigger",
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"type": "n8n-nodes-base.scheduleTrigger",
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"typeVersion": 1.1,
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"position": [250, 300]
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},
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{
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"parameters": {
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"functionCode": "// 检查当前月份是否是季度末(3,6,9,12)\nconst now = new Date();\nconst month = now.getMonth() + 1; // 1-12\nconst isQuarterEnd = [3, 6, 9, 12].includes(month);\n\nif (!isQuarterEnd) {\n return [];\n}\n\n// 计算季度标识\nconst year = now.getFullYear();\nconst quarter = Math.ceil(month / 3);\nconst quarterString = `${year}-Q${quarter}`;\n\n// 计算季度的开始和结束日期\nconst quarterStart = new Date(year, (quarter - 1) * 3, 1);\nconst quarterEnd = new Date(year, quarter * 3, 0);\n\nreturn [{\n json: {\n quarter: quarterString,\n startDate: quarterStart.toISOString().split('T')[0],\n endDate: quarterEnd.toISOString().split('T')[0]\n }\n}];"
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},
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"id": "calculate-quarter",
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"name": "Calculate Quarter",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [450, 300]
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},
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{
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"parameters": {
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"resource": "interestOverTime",
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"operation": "get",
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"searchTerms": "AI,artificial intelligence,machine learning,GPT,LLM,ChatGPT,transformer",
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"timeRange": "={{ $json.startDate }} {{ $json.endDate }}",
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"category": "0",
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"geo": "GB"
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},
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"id": "google-trends",
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"name": "Google Trends",
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"type": "@gamal.dev/n8n-nodes-google-trends",
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"typeVersion": 1,
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"position": [650, 300]
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},
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{
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"parameters": {
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"functionCode": "// 从 Google Trends 数据中提取热门词汇\nconst trends = $input.all();\nconst keywords = [];\n\n// 假设 Google Trends 返回数据包含关键词和分数\nfor (const trend of trends) {\n const data = trend.json;\n\n if (data.timeline) {\n for (const [keyword, values] of Object.entries(data.timeline)) {\n if (Array.isArray(values) && values.length > 0) {\n // 计算平均分数\n const avgScore = values.reduce((a, b) => a + b, 0) / values.length;\n keywords.push({\n json: {\n word: keyword,\n trendScore: Math.round(avgScore),\n quarter: $('Calculate Quarter').item.json.quarter\n }\n });\n }\n }\n }\n}\n\nreturn keywords;"
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},
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"id": "extract-keywords",
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"name": "Extract Keywords",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [850, 300]
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},
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{
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"parameters": {
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"values": {
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"string": [
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{
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"name": "apiKey",
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"value": "={{ $env.API_KEY }}"
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}
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]
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},
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"options": {}
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},
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"id": "set-api-key",
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"name": "Set API Key",
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"type": "n8n-nodes-base.set",
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"typeVersion": 3.2,
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"position": [1050, 300]
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},
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{
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"parameters": {
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"url": "={{ $env.API_URL }}/api/keyword-cloud/rules",
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"options": {}
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},
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"id": "get-visual-rules",
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"name": "Get Visual Rules",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.1,
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"position": [1250, 300]
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},
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{
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"parameters": {
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"jsCode": "// 获取关键词和规则\nconst keywords = $('Extract Keywords').all();\nconst rulesData = $('Get Visual Rules').first().json;\nconst rules = rulesData.rules || [];\n\n// 规则按优先级排序\nrules.sort((a, b) => a.priority - b.priority);\n\n// 为每个关键词匹配规则\nconst processed = keywords.map(item => {\n const keyword = item.json;\n\n // 查找匹配的规则\n const matchedRule = rules.find(rule =>\n keyword.trendScore >= rule.minScore &&\n keyword.trendScore <= rule.maxScore\n );\n\n const visualConfig = matchedRule ? matchedRule.visualConfig : {\n color: 'gray',\n size: 'text-base',\n border: 'border-2',\n rotation: null\n };\n\n return {\n json: {\n ...keyword,\n visualConfig\n }\n };\n});\n\nreturn processed;"
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},
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"id": "match-visual-rules",
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"name": "Match Visual Rules",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [1450, 300]
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},
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{
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"parameters": {
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"url": "={{ $env.API_URL }}/api/keyword-cloud/keywords",
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "={\n \"apiKey\": \"{{ $env.API_KEY }}\",\n \"quarter\": \"{{ $('Calculate Quarter').item.json.quarter }}\",\n \"keywords\": {{ $json.all().map(item => ({\n word: item.json.word,\n trendScore: item.json.trendScore,\n description: \"AI生成的描述\", // TODO: 使用 AI 节点生成\n detailPoints: [\"要点1\", \"要点2\", \"要点3\"] // TODO: 使用 AI 节点生成\n })) }}\n}",
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"options": {}
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},
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"id": "send-to-api",
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"name": "Send to API",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.1,
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"position": [1650, 300]
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}
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],
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"connections": {
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"Schedule Trigger": {
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"main": [
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[
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{
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"node": "Calculate Quarter",
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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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"Calculate Quarter": {
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"main": [
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[
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{
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"node": "Google Trends",
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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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"Google Trends": {
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"main": [
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[
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{
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"node": "Extract Keywords",
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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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"Extract Keywords": {
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"main": [
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[
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{
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"node": "Set API Key",
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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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"Set API Key": {
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"main": [
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[
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{
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"node": "Get Visual Rules",
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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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"Get Visual Rules": {
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"main": [
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[
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{
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"node": "Match Visual Rules",
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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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"Match Visual Rules": {
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"main": [
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[
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{
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"node": "Send to API",
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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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"pinData": {},
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"settings": {
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"executionOrder": "v1"
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},
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"staticData": null,
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"tags": [],
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"triggerCount": 0,
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"updatedAt": "2026-01-25T00:00:00.000Z",
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"versionId": "1"
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}
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