地政学のニュースフラッシュアラート

• •Telegram Bot Token
• •ターゲットAPIの認証情報が必要な場合あり
• •OpenAI API Key

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  "meta": {
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  "name": "Geopolitics Breaking News Alert",
  "tags": [],
  "nodes": [
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      "name": "30分毎",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
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      "parameters": {
        "rule": {
          "interval": [
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              "field": "minutes",
              "minutesInterval": 30
            }
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      "typeVersion": 1.2
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    {
      "id": "46266983-54ba-4977-b6af-dabc6ee1ed4a",
      "name": "NYT RSSフィード",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
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      "parameters": {
        "url": "https://rss.nytimes.com/services/xml/rss/nyt/World.xml",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "05342734-972c-49d1-82d7-3622f96f42f1",
      "name": "TOI RSSフィード",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
        0,
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      ],
      "parameters": {
        "url": "https://timesofindia.indiatimes.com/rssfeedstopstories.cms",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "2f195f01-5e2e-439b-9954-a25f902f399f",
      "name": "アルジャジーラ RSSフィード",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
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      "parameters": {
        "url": "https://www.aljazeera.com/xml/rss/all.xml",
        "options": {}
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    {
      "id": "13811cd7-80cb-43cf-a18d-ecebfb56eea9",
      "name": "BBC RSSフィード",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
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      "parameters": {
        "url": "http://feeds.bbci.co.uk/news/world/rss.xml",
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        "jsCode": "// Dynamic Filter Node - Config-Driven Filtering\n  const config = $('Load Config from Google Drive').first().json;\n\n  const primaryKeywords = config.primary_keywords;\n  const secondaryKeywords = config.secondary_keywords;\n\n  const filtered = [];\n\n  for (const item of $input.all()) {\n    const text = `${item.json.title} ${item.json.contentSnippet}`.toLowerCase();\n\n    // Must mention at least one primary keyword\n    const hasPrimary = primaryKeywords.some(kw => text.includes(kw.toLowerCase()));\n\n    // Must mention at least one secondary keyword\n    const hasSecondary = secondaryKeywords.some(kw => text.includes(kw.toLowerCase()));\n\n    if (hasPrimary && hasSecondary) {\n      filtered.push({\n        json: {\n          ...item.json,\n          config: config\n        }\n      });\n    }\n  }\n\n  return filtered;"
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    {
      "id": "4e7b8918-071d-43da-b39a-68f09d1aa720",
      "name": "速報ニュースアラート送信",
      "type": "n8n-nodes-base.telegram",
      "position": [
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      "webhookId": "271ae674-a0c3-4b7f-a986-e8709bcd6d2d",
      "parameters": {
        "text": "=={{ $json.message }}",
        "chatId": "={{ $json.config.telegram_chat_id }}",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "TlRyprl4PMViOx6S",
          "name": "Telegram account 2"
        }
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      "typeVersion": 1
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    {
      "id": "ba46bf0d-81a8-4ea5-8973-79452159ed0a",
      "name": "速報ニュース分析器",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1136,
        368
      ],
      "parameters": {
        "text": "={{ \"Analyze this article:\\n\\nTitle: \" + $json.title + \"\\n\\nContent: \" + $json.contentSnippet + \"\\n\\nLink: \" +\n  $json.link + \"\\n\\nSource: \" + $json.source + \"\\n\\nPublished: \" + $json.pubDate }}",
        "options": {
          "systemMessage": "={{ $json.systemPrompt }}"
        },
        "promptType": "define",
        "hasOutputParser": true
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      "typeVersion": 2.2
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    {
      "id": "2fd4e417-8ac3-42eb-9a30-c7b9a1346317",
      "name": "OpenAI チャットモデル",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
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      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini",
          "cachedResultName": "gpt-4o-mini"
        },
        "options": {
          "temperature": 0.3
        }
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      "credentials": {
        "openAiApi": {
          "id": "7os4DH2Wu3pY84Oy",
          "name": "N8N Key"
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      "name": "構造化出力パーサー",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      ],
      "parameters": {
        "jsonSchemaExample": "{\n    \"score\": 8,\n    \"category\": \"Trade Policy\",\n    \"alert_topic\": \"India announces new tariffs on Chinese imports\",\n    \"alert_description\": \"Government unveils comprehensive tariff structure affecting electronics and manufacturing sectors\",\n    \"impact\": \"Significant escalation in trade tensions, potential retaliation expected\",\n    \"source\": \"Times of India\",\n    \"timestamp\": \"2025-10-25T20:30:00+05:30\",\n    \"link\": \"https://timesofindia.indiatimes.com/article/12345\",\n    \"should_alert\": true\n  }"
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    {
      "id": "5c161610-bfa8-4da1-a82a-23666d185de6",
      "name": "条件分岐",
      "type": "n8n-nodes-base.if",
      "position": [
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      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
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              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.output.should_alert }}",
              "rightValue": {}
            }
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      "typeVersion": 2.2
    },
    {
      "id": "edda078a-b0be-4ee3-845f-88aa6851416a",
      "name": "SCMP RSSフィード",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
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      ],
      "parameters": {
        "url": "https://www.scmp.com/rss/3/feed",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "95b00893-33a7-4b6c-b365-11c317760351",
      "name": "NDTV RSSフィード",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
        0,
        880
      ],
      "parameters": {
        "url": "https://feeds.feedburner.com/ndtvnews-top-stories",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "393a1952-9bb8-416b-8096-09c8d5b81ff0",
      "name": "重複チェック",
      "type": "n8n-nodes-base.dataTable",
      "position": [
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      "parameters": {
        "filters": {
          "conditions": [
            {
              "keyName": "article_link",
              "keyValue": "=={{ $json.link }}"
            }
          ]
        },
        "matchType": "allConditions",
        "operation": "rowNotExists",
        "dataTableId": {
          "__rl": true,
          "mode": "list",
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          "cachedResultUrl": "/projects/5Iw2tLn8DOp3x4nk/datatables/pYQedxIAvf9PQdAF",
          "cachedResultName": "analyzed_articles"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "92a6bdd3-bc80-46e7-b0a3-3b806ef3bdc1",
      "name": "分析済み記事記録",
      "type": "n8n-nodes-base.dataTable",
      "position": [
        1504,
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      ],
      "parameters": {
        "columns": {
          "value": {
            "score": "={{ $json.output.score }}",
            "title": "=={{ $json.output.alert_topic }}",
            "analyzed_at": "={{ $now.toISO() }}",
            "article_link": "=={{ $json.output.link }}"
          },
          "schema": [
            {
              "id": "article_link",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "article_link",
              "defaultMatch": false
            },
            {
              "id": "title",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "title",
              "defaultMatch": false
            },
            {
              "id": "analyzed_at",
              "type": "dateTime",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "analyzed_at",
              "defaultMatch": false
            },
            {
              "id": "score",
              "type": "number",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "score",
              "defaultMatch": false
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
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        "options": {},
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "pYQedxIAvf9PQdAF",
          "cachedResultUrl": "/projects/5Iw2tLn8DOp3x4nk/datatables/pYQedxIAvf9PQdAF",
          "cachedResultName": "analyzed_articles"
        }
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      "typeVersion": 1
    },
    {
      "id": "4ff7d6dc-8421-439d-a98a-3e8233dbedd3",
      "name": "古い記録のクリーンアップ",
      "type": "n8n-nodes-base.dataTable",
      "position": [
        1744,
        272
      ],
      "parameters": {
        "filters": {
          "conditions": [
            {
              "keyName": "analyzed_at",
              "keyValue": "={{ $now.minus({days: 7}).toISO() }}",
              "condition": "lt"
            }
          ]
        },
        "options": {},
        "operation": "deleteRows",
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "pYQedxIAvf9PQdAF",
          "cachedResultUrl": "/projects/5Iw2tLn8DOp3x4nk/datatables/pYQedxIAvf9PQdAF",
          "cachedResultName": "analyzed_articles"
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      "typeVersion": 1
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    {
      "id": "d339eb01-08c7-4d8b-9ed4-bfb88816f915",
      "name": "マージ",
      "type": "n8n-nodes-base.merge",
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      "parameters": {
        "numberInputs": 6
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    {
      "id": "54527b07-b8c7-4744-80c8-257bad8bafb6",
      "name": "アラート集約",
      "type": "n8n-nodes-base.code",
      "position": [
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        576
      ],
      "parameters": {
        "jsCode": "// Aggregate all alerts into a single message\n  const items = $input.all();\n\n  if (items.length === 0) {\n    return [];\n  }\n\n  // Get config from first item\n  const config = items[0].json.output.config || items[0].json.config;\n\n  // Build consolidated message\n  let message = `🚨 BREAKING NEWS ALERTS (${items.length} items)\\n\\n`;\n\n  items.forEach((item, index) => {\n    const output = item.json.output;\n\n    message += `━━━━━━━━━━━━━━━━━━━━\\n`;\n    message += `${index + 1}. BREAKING: ${output.category}\\n\\n`;\n    message += `📰 Source: ${output.source}\\n`;\n    message += `💥 Impact: ${output.impact}\\n\\n`;\n    message += `📌 ${output.alert_topic}\\n\\n`;\n    message += `📄 ${output.alert_description}\\n\\n`;\n    message += `🔗 Read More: ${output.link}\\n\\n`;\n    message += `⏰ Alert Time: ${output.timestamp}\\n`;\n    message += `Score: ${output.score}\\n\\n`;\n  });\n\n  // Return single item with consolidated message AND config\n  return [{\n    json: {\n      message: message,\n      config: config\n    }\n  }];"
      },
      "typeVersion": 2
    },
    {
      "id": "cd47ab51-4722-497e-874a-7b6f727c0616",
      "name": "動的AIプロンプト生成器",
      "type": "n8n-nodes-base.code",
      "position": [
        976,
        368
      ],
      "parameters": {
        "jsCode": "// Dynamic AI Prompt Generator\n  const items = $input.all();\n  const results = [];\n\n  for (const item of items) {\n    // Get config from item or Google Drive HTTP Request node\n    const config = item.json.config || $('Load Config from Google Drive').first().json;\n\n    // Build scoring criteria text\n    let criteriaText = '';\n    for (const rule of config.scoring_criteria) {\n      criteriaText += `  • ${rule.category} (${rule.score_min}-${rule.score_max}): ${rule.description}\\n`;\n    }\n\n    // Generate dynamic system prompt\n    const systemPrompt = `You are a ${config.ai_role}. Analyze RSS articles for breaking news urgency.\n\n  BREAKING NEWS CRITERIA:\n  ${criteriaText}\n  NOT BREAKING (1-4): Routine updates, opinion pieces\n\n  INSTRUCTIONS:\n  You receive: title, contentSnippet, link, source, pubDate\n\n  1. Analyze urgency score (1-10)\n  2. If score < ${config.alert_threshold}: Set should_alert = false\n  3. If score >= ${config.alert_threshold}: Set should_alert = true\n\n  Always return ALL these fields:\n  - score: [1-10 based on breaking news urgency]\n  - category: [Category name matching the score range]\n  - alert_topic: [use the article title]\n  - alert_description: [use contentSnippet]\n  - impact: [your one-sentence impact analysis]\n  - source: [use source field]\n  - timestamp: [use pubDate]\n  - link: [use link field]\n  - should_alert: [false if score < ${config.alert_threshold}, true if score >= ${config.alert_threshold}]`;\n\n    // Add systemPrompt to item\n    results.push({\n      json: {\n        ...item.json,\n        systemPrompt: systemPrompt,\n        config: config\n      }\n    });\n  }\n\n  return results;"
      },
      "typeVersion": 2
    },
    {
      "id": "1fa522e9-1f26-4b4f-98a6-f9815d31c9e4",
      "name": "RSS_クリーンアップ_ノード",
      "type": "n8n-nodes-base.code",
      "position": [
        448,
        368
      ],
      "parameters": {
        "jsCode": " // Strip HTML tags helper function\n  const stripHTML = (html) => {\n    if (!html) return '';\n    return html.replace(/<[^>]*>/g, '').trim();\n  };\n\n  // Process all items and normalize to required fields only\n  const cleanedItems = [];\n\n  for (const item of $input.all()) {\n    const json = item.json;\n\n    // Extract source (try multiple fields with fallback chain)\n    const source = json.creator || json['dc:creator'] || json.author || 'Unknown';\n\n    // Handle empty contentSnippet - fallback to content and strip HTML\n    const contentSnippet = json.contentSnippet || stripHTML(json.content) || '';\n\n    // Use isoDate for consistency (standardized ISO 8601 format)\n    const pubDate = json.isoDate || json.pubDate;\n\n    // Build clean item with ONLY required fields\n    cleanedItems.push({\n      json: {\n        // CRITICAL fields (order matters for readability)\n        link: json.link,                    // Unique identifier\n        title: json.title,                  // Article headline\n        contentSnippet: contentSnippet,     // Clean summary text\n        pubDate: pubDate,                   // Timestamp\n        source: source                      // Source attribution\n      }\n    });\n  }\n\n  return cleanedItems;"
      },
      "typeVersion": 2
    },
    {
      "id": "ad0208aa-904a-40fa-8f76-bd0f67e705cd",
      "name": "Google ドライブから設定を読み込み",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -336,
        384
      ],
      "parameters": {
        "url": "https://drive.usercontent.google.com/download?id=15tO_RUnFTDkANVocx0es7k9PZ-VxFLgc&export=download",
        "options": {
          "response": {
            "response": {
              "responseFormat": "json"
            }
          }
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "c8910a76-d742-44ae-bf4b-50fa3ca4bf44",
      "name": "設定の再適用",
      "type": "n8n-nodes-base.code",
      "position": [
        1504,
        592
      ],
      "parameters": {
        "jsCode": "// Re-attach config that was stripped by AI Agent\n  const items = $input.all();\n  const results = [];\n\n  for (const item of items) {\n    // Get config from earlier in the flow\n    const config = $('Load Config from Google Drive').first().json;\n\n    results.push({\n      json: {\n        ...item.json,\n        config: config\n      }\n    });\n  }\n\n  return results;"
      },
      "typeVersion": 2
    },
    {
      "id": "81d824f6-74e3-49bf-b460-fa8b700a778f",
      "name": "付箋",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1264,
        64
      ],
      "parameters": {
        "width": 528,
        "height": 768,
        "content": "# Geopolitics Breaking News Alert System\n\n**Smart filtering + AI scoring for cost-efficient geopolitical monitoring**\n\nThis workflow filters 200+ daily articles down to critical breaking news alerts using keyword filtering and AI urgency scoring.\n\n## 🎯 Use Case\nMonitor any geopolitical region (India, China, Middle East, Russia-Ukraine) for breaking news. Smart dual-layer filtering reduces AI costs by 80-90%. AI scores urgency (1-10) to distinguish breaking news from routine coverage. Real-time Telegram alerts for high-priority events only.\n\n## 🔧 How it Works\n1. Schedule Trigger runs every 30min (configurable)\n2. Load Config from Google Drive (keywords, scoring rules)\n3. Fetch RSS from 6 international news sources (~200 articles)\n4. Dynamic Filter applies primary + secondary keyword logic (~5 relevant articles)\n5. Check Duplicates to skip already-analyzed articles\n6. AI Analyzer scores geopolitical urgency (1-10 scale)\n7. Send Telegram Alert for consolidated breaking news (score >= threshold)\n\n**Entire documentation available in [Github Repo](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/tree/master)**\n#. [N8N Workflow Architecture](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/ARCHITECTURE.md)\n#. [Config Files](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/tree/master/configs)\n#. [Set Up Guide](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/SETUP_GUIDE.md)\n#. [Different Use Cases](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/USE_CASES.md)"
      },
      "typeVersion": 1
    },
    {
      "id": "43e604e7-36b8-4ef9-a413-d13303419394",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -688,
        288
      ],
      "parameters": {
        "width": 288,
        "height": 416,
        "content": "## Scheduling Node\ncurrently set at 30 mins interval but change it as per your requirements"
      },
      "typeVersion": 1
    },
    {
      "id": "761c0e99-29a2-42d1-8d77-8b050e2c5438",
      "name": "付箋2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -384,
        288
      ],
      "parameters": {
        "width": 256,
        "height": 416,
        "content": "## [Loading Config Info.](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/ARCHITECTURE.md)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n[1) Link to different config json files](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/tree/master/configs)\n[2). Explanation about different config use cases](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/USE_CASES.md)"
      },
      "typeVersion": 1
    },
    {
      "id": "085d279a-499c-4b4a-b1ae-b8dbc6596d21",
      "name": "付箋3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        224,
        64
      ],
      "parameters": {
        "width": 864,
        "height": 672,
        "content": "## [Pre-Processing Nodes](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/ARCHITECTURE.md)\n1. Merge Data coming from various RSS Feeds\n2. Clean up info. not required for processing\n3. Use the Primary and Secondary Filters from the Load Config File\n4. Check for Duplicate Articles (i.e articles already triggered in previous runs) \n5. Create the Dynamic Prompt Generator for use in Breaking News Analyzer Node\n"
      },
      "typeVersion": 1
    },
    {
      "id": "6a57e769-e103-4da1-bb49-1997b2594334",
      "name": "付箋4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1104,
        64
      ],
      "parameters": {
        "width": 320,
        "height": 672,
        "content": "## Breaking News Analyzer\n1. Used to [Score Articles](https://github.com/devdutta/n8n-geopolitics-breaking-news-alert/blob/master/USE_CASES.md#customizing-scoring-mechanism) for different Alert Levels via the Dynamic System Prompt Generator using Scoring Rules coming from Config Files\n2. Uses AI Agent with Open AI Chat Model running gpt-4o-mini (with temperature set at 0.3 for consistent results)"
      },
      "typeVersion": 1
    },
    {
      "id": "44db6207-6985-44a7-b86b-4cdfcf267b62",
      "name": "付箋5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -112,
        64
      ],
      "parameters": {
        "width": 320,
        "height": 960,
        "content": "## Uses 6 RSS News Feeds"
      },
      "typeVersion": 1
    },
    {
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      "name": "付箋6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        "height": 352,
        "content": "## Data Insertion and Clean Up Nodes\n1. Inserts all articles into the \"analyzed_articles\" n8n Data Table so that duplicate article checks can be done on next runs\n2. Clean Up Node - removes articles from \"analyzed_articles\" N8N Data Table for articles which are more than 7 days old"
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      "type": "n8n-nodes-base.stickyNote",
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        "content": "## Post-Processing Nodes\n1. Re-attach Config - To bring the \"alert_threshold\" (Scoring Threshold) value from the upstream Config Files\n2. If Node - Only pass the Articles >6 score to the True Branch (alert_threshold is set to 6)\n3. Aggregate Alerts- Aggregates All Alerts passing the threshold\n4. Telegram Message Node - Send the aggregated messages to Telegram Chat Node using the Telegram Chat Id again referenced from the Config Files"
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