{
  "id": "WkAdUd9jXTtPagGO",
  "name": "MAM Series Matcher",
  "nodes": [
    {
      "parameters": {},
      "id": "trigger-execute-workflow",
      "name": "When Called by Another Workflow",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "typeVersion": 1,
      "position": [
        224,
        304
      ]
    },
    {
      "parameters": {
        "jsCode": "// Fuzzy match incoming title against followed series\n// Input: title from Execute Workflow trigger\n// Output: matched series or null\n\nconst inputItem = $input.first();\nconst title = inputItem.json.title || '';\nconst metadata = inputItem.json.metadata || {};\n\n// Get all followed series from Supabase\nconst seriesList = $('Get Active Followed Series').all();\n\n// Helper function to normalize strings for comparison\nfunction normalize(str) {\n  return str.toLowerCase()\n    .replace(/[^a-z0-9\\s]/g, '')\n    .replace(/\\s+/g, ' ')\n    .trim();\n}\n\n// Helper function to extract patterns from title\nfunction extractPatterns(title) {\n  const patterns = {\n    volume: null,\n    author: null,\n    cleanTitle: title\n  };\n  \n  // Extract volume numbers (e.g., \"Vol 01\", \"Volume 1\", \"v01\")\n  const volumeMatch = title.match(/\\b(?:vol(?:ume)?\\.?\\s*(\\d+)|v(\\d+))\\b/i);\n  if (volumeMatch) {\n    patterns.volume = parseInt(volumeMatch[1] || volumeMatch[2]);\n  }\n  \n  // Extract author (common patterns: \"Author Name - Title\", \"[Author Name]\")\n  const authorMatch1 = title.match(/^([^-\\[\\]]+?)\\s*-\\s*(.+)/);\n  const authorMatch2 = title.match(/\\[([^\\]]+)\\]/);\n  \n  if (authorMatch1) {\n    patterns.author = authorMatch1[1].trim();\n    patterns.cleanTitle = authorMatch1[2].trim();\n  } else if (authorMatch2) {\n    patterns.author = authorMatch2[1].trim();\n  }\n  \n  return patterns;\n}\n\n// Extract patterns from input title\nconst inputPatterns = extractPatterns(title);\nconst normalizedInput = normalize(inputPatterns.cleanTitle);\n\n// Try to match against series\nlet bestMatch = null;\nlet bestScore = 0;\n\nfor (const series of seriesList) {\n  const seriesName = series.json.series_name || '';\n  const author = series.json.author || '';\n  const normalizedSeries = normalize(seriesName);\n  const normalizedAuthor = normalize(author);\n  \n  let score = 0;\n  \n  // Check if series name is contained in title\n  if (normalizedInput.includes(normalizedSeries)) {\n    score += 50;\n  }\n  \n  // Check if title is contained in series name\n  if (normalizedSeries.includes(normalizedInput)) {\n    score += 40;\n  }\n  \n  // Check author match\n  if (inputPatterns.author && normalizedAuthor) {\n    if (normalize(inputPatterns.author).includes(normalizedAuthor)) {\n      score += 30;\n    }\n  }\n  \n  // Simple word overlap check\n  const inputWords = normalizedInput.split(' ').filter(w => w.length > 2);\n  const seriesWords = normalizedSeries.split(' ').filter(w => w.length > 2);\n  const commonWords = inputWords.filter(w => seriesWords.includes(w));\n  score += commonWords.length * 5;\n  \n  if (score > bestScore) {\n    bestScore = score;\n    bestMatch = series.json;\n  }\n}\n\n// Return match if score is above threshold\nif (bestMatch && bestScore >= 40) {\n  return [{\n    json: {\n      matched: true,\n      series_id: bestMatch.id,\n      series_name: bestMatch.series_name,\n      author: bestMatch.author,\n      category: bestMatch.category,\n      smb_path: bestMatch.smb_path,\n      match_score: bestScore,\n      original_title: title,\n      extracted_volume: inputPatterns.volume,\n      extracted_author: inputPatterns.author\n    }\n  }];\n} else {\n  return [{\n    json: {\n      matched: false,\n      series_id: null,\n      series_name: null,\n      author: null,\n      category: null,\n      smb_path: null,\n      match_score: bestScore,\n      original_title: title\n    }\n  }];\n}"
      },
      "id": "code-fuzzy-match",
      "name": "Fuzzy Match Title",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        608,
        304
      ]
    },
    {
      "parameters": {
        "respondWith": "allIncomingItems",
        "options": {}
      },
      "id": "respond-to-workflow",
      "name": "Respond to Workflow",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1,
      "position": [
        800,
        304
      ]
    },
    {
      "parameters": {
        "operation": "select",
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "public"
        },
        "table": {
          "__rl": true,
          "value": "followed_series",
          "mode": "list",
          "cachedResultName": "followed_series"
        },
        "returnAll": true,
        "where": {
          "values": [
            {
              "column": "active",
              "value": "true"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        432,
        304
      ],
      "id": "2f0708e1-996c-4705-b374-2a119fcd6b18",
      "name": "Get Active Followed Series",
      "credentials": {
        "postgres": {
          "id": "dsnKfvOBMkgU21Lt",
          "name": "supabase postgres account"
        }
      }
    }
  ],
  "connections": {
    "When Called by Another Workflow": {
      "main": [
        [
          {
            "node": "Get Active Followed Series",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fuzzy Match Title": {
      "main": [
        [
          {
            "node": "Respond to Workflow",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Active Followed Series": {
      "main": [
        [
          {
            "node": "Fuzzy Match Title",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1",
    "saveDataErrorExecution": "all",
    "saveDataSuccessExecution": "all",
    "saveManualExecutions": true,
    "saveExecutionProgress": true
  },
  "triggerCount": 0,
  "versionId": "34e2aea3-0a6e-41fd-b277-207bfd0f6804",
  "owner": {
    "type": "personal",
    "projectId": "FeLO36wNUAcn61Wj",
    "projectName": "Ben W <admin@ben.io>",
    "personalEmail": "admin@ben.io"
  },
  "parentFolderId": "6tDyZCwqELStb6Ik",
  "isArchived": false
}