Enlaces internos del blog de Shopify

• •Pueden requerirse credenciales de autenticación para la API de destino

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      "parameters": {
        "jsCode": "// ============================================\n// GROUP AND GET TOP 3 RELATED ARTICLES\n// ============================================\n\nconst relations = $(\"Calculate similarities\").all().map(item => item.json);\n\n// Group by source_shopify_id\nconst groupedBySource = relations.reduce((acc, relation) => {\n  const sourceId = relation.source_shopify_id;\n  \n  if (!acc[sourceId]) {\n    acc[sourceId] = {\n      source_shopify_id: sourceId,\n      source_blog_id: relation.source_blog_id,\n      source_title: relation.source_title,\n      source_url: relation.source_url,\n      related_articles: []\n    };\n  }\n  \n  // Add related article with its similarity score\n  acc[sourceId].related_articles.push({\n    related_shopify_id: relation.related_shopify_id,\n    related_title: relation.related_title,\n    related_url: relation.related_url,\n    similarity_score: relation.similarity_score\n  });\n  \n  return acc;\n}, {});\n\n// Convert to array and get top 3 for each source\nconst result = Object.values(groupedBySource).map(group => {\n  // Sort by similarity_score (highest first) and take top 3\n  const top3Related = group.related_articles\n    .sort((a, b) => b.similarity_score - a.similarity_score)\n    .slice(0, 3)\n    .map(article => article.related_shopify_id);\n  \n  return {\n    source_shopify_id: group.source_shopify_id,\n    related_shopify_ids: top3Related\n  };\n});\n\n// Return as separate items for next node\nreturn result.map(item => ({ json: item }));"
      },
      "typeVersion": 2
    },
    {
      "id": "088f6ac5-4c84-4c63-ba89-ab778c3ce547",
      "name": "Bucle para artículos fuente",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -16,
        48
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "28f1bf7c-db78-4f1f-8db3-b00474dd7284",
      "name": "Obtener artículos relacionados previos",
      "type": "n8n-nodes-base.dataTable",
      "position": [
        208,
        64
      ],
      "parameters": {
        "filters": {
          "conditions": [
            {
              "keyName": "source_shopify_id",
              "keyValue": "={{ $json.source_shopify_id }}"
            }
          ]
        },
        "operation": "get",
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "7RrUjeEF2Zfcxpsn",
          "cachedResultUrl": "/projects/XqoBcIeUrbWmIJt8/datatables/7RrUjeEF2Zfcxpsn",
          "cachedResultName": "article_related_links_snapshot"
        }
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "268e6a49-f852-4056-b9cf-8b912f5b19e1",
      "name": "Verificar si el artículo ya tiene relacionados",
      "type": "n8n-nodes-base.if",
      "position": [
        432,
        64
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "6a466a42-552d-4be0-a443-e2907f660ba4",
              "operator": {
                "type": "number",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.source_shopify_id }}",
              "rightValue": "={{ $('Loop for source articles').item.json.related_shopify_ids }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "b41317b7-4a8c-4043-94e8-89b6add1c772",
      "name": "Actualizar/insertar relaciones",
      "type": "n8n-nodes-base.dataTable",
      "position": [
        688,
        80
      ],
      "parameters": {
        "columns": {
          "value": {
            "source_shopify_id": "={{ $('Loop for source articles').item.json.source_shopify_id }}",
            "related_shopify_ids": "={{ $('Loop for source articles').item.json.related_shopify_ids.join() }}"
          },
          "schema": [
            {
              "id": "source_shopify_id",
              "type": "number",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "source_shopify_id",
              "defaultMatch": false
            },
            {
              "id": "related_shopify_ids",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "related_shopify_ids",
              "defaultMatch": false
            },
            {
              "id": "related_urls",
              "type": "string",
              "display": true,
              "removed": true,
              "readOnly": false,
              "required": false,
              "displayName": "related_urls",
              "defaultMatch": false
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "filters": {
          "conditions": [
            {
              "keyName": "source_shopify_id",
              "keyValue": "={{ $('Loop for source articles').item.json.source_shopify_id }}"
            }
          ]
        },
        "options": {},
        "operation": "upsert",
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "7RrUjeEF2Zfcxpsn",
          "cachedResultUrl": "/projects/XqoBcIeUrbWmIJt8/datatables/7RrUjeEF2Zfcxpsn",
          "cachedResultName": "article_related_links_snapshot"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "2d051e8b-9f67-4ed3-8a2a-85d19281452f",
      "name": "Preparar HTML para artículos relacionados",
      "type": "n8n-nodes-base.code",
      "position": [
        1344,
        80
      ],
      "parameters": {
        "jsCode": "// ============================================\n// PREPARE HTML FOR RELATED ARTICLES\n// ============================================\n\n// Get source article ID from \"Upsert relations\" node\nconst sourceArticle = $('Upsert relations').first().json;\nconst sourceShopifyId = sourceArticle.source_shopify_id;\n\n// Get related articles details from \"Get related article details\" node\nconst relatedArticles = $('Get related article details').all().map(i => i.json);\n\n// Build the HTML for related articles section\nlet relatedHTML = `\n<div class=\"related-articles\" style=\"margin: 40px 0;\">\n  <h3>📚 Artículos relacionados que te pueden interesar</h3>\n  <ul style=\"list-style: none; padding: 0;\">\n`;\n\n// Add each related article as a link\nrelatedArticles.forEach(article => {\n  relatedHTML += `\n    <li style=\"margin-bottom: 10px;\">\n      <a href=\"${article.url}\">→ ${article.title}</a>\n    </li>\n  `;\n});\n\nrelatedHTML += `\n  </ul>\n</div>\n`;\n\nreturn {\n  json: {\n    source_shopify_id: sourceShopifyId,\n    related_articles_html: relatedHTML,\n    related_count: relatedArticles.length\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "0e6e4ad1-cf86-4e35-a862-bc8219c99838",
      "name": "Verificar si los artículos relacionados son iguales",
      "type": "n8n-nodes-base.if",
      "position": [
        608,
        -288
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "320c269c-572b-4888-b6c0-7ceec4db0e30",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $('Loop for source articles').item.json.related_shopify_ids.join() }}",
              "rightValue": "={{ $('Get previous related_articles').item.json.related_shopify_ids }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "73604394-344d-469e-b845-0f3660abccaf",
      "name": "No es necesario cambiar la sección de relacionados",
      "type": "n8n-nodes-base.noOp",
      "position": [
        816,
        -304
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "2bc885ba-cbc4-4623-82ac-e85759170a6d",
      "name": "Obtener detalles del artículo relacionado",
      "type": "n8n-nodes-base.dataTable",
      "position": [
        1120,
        80
      ],
      "parameters": {
        "filters": {
          "conditions": [
            {
              "keyName": "shopify_id",
              "keyValue": "={{ $json.related_shopify_id }}"
            }
          ]
        },
        "operation": "get",
        "dataTableId": {
          "__rl": true,
          "mode": "list",
          "value": "kjtDGPfteUD1V64N",
          "cachedResultUrl": "/projects/XqoBcIeUrbWmIJt8/datatables/kjtDGPfteUD1V64N",
          "cachedResultName": "articles"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "85357d92-5b8b-4e36-acba-a1f3473237ae",
      "name": "Dividir IDs relacionados",
      "type": "n8n-nodes-base.code",
      "position": [
        896,
        80
      ],
      "parameters": {
        "jsCode": "return $input.all().flatMap(item => {\n  const ids = item.json.related_shopify_ids.split(',').map(id => id.trim());\n  return ids.map(relatedId => ({\n    json: {\n      source_shopify_id: item.json.source_shopify_id,\n      related_shopify_id: relatedId\n    }\n  }));\n});"
      },
      "typeVersion": 2
    },
    {
      "id": "36042f8c-f7b5-48bc-949f-44f8521d407e",
      "name": "Insertar relacionados en el artículo",
      "type": "n8n-nodes-base.code",
      "position": [
        1568,
        80
      ],
      "parameters": {
        "jsCode": "// ============================================\n// UPDATE SHOPIFY ARTICLE WITH RELATED LINKS\n// ============================================\n\nconst item = $input.item.json;\n\n// Get current article content from Shopify\nconst currentArticle = $('Get articles from shopify').first().json.articles.find(a => a.id === $input.first().json.source_shopify_id);\nlet currentContent = currentArticle.body_html || '';\n\n// Remove old related articles section if exists\ncurrentContent = currentContent.replace(\n  /<div class=\"related-articles\"[^>]*>[\\s\\S]*?<\\/div>/gi, \n  ''\n);\n\n// Add new related articles at the end\nconst updatedContent = currentContent.trim() + '\\n\\n' + item.related_articles_html;\n\nconst article = {\n  id: item.source_shopify_id,\n  body_html: updatedContent\n}\n\nreturn [{ json: { article } }];"
      },
      "typeVersion": 2
    },
    {
      "id": "1524f17c-e0b2-41dc-a948-4e085885b0a2",
      "name": "Actualizar artículo con relacionados",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1792,
        80
      ],
      "parameters": {
        "url": "=https://{{ $('Workflow Configuration').first().json.shopifyStoreName }}.myshopify.com/admin/api/{{ $('Workflow Configuration').first().json.shopApiVersion }}/blogs/{{ $('Workflow Configuration').first().json.shopifyBlogId }}/articles/{{ $json.article.id }}.json",
        "method": "PUT",
        "options": {},
        "jsonBody": "={{ JSON.stringify($json) }}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "shopifyAccessTokenApi"
      },
      "credentials": {
        "shopifyAccessTokenApi": {
          "id": "oDrAi4lTTxnawLSv",
          "name": "Shopify Access Token account 2"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "e9d3c731-ff01-4bbc-9c8c-a6eed48abb20",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -976,
        304
      ],
      "parameters": {
        "width": 896,
        "height": 480,
        "content": "## Analyze each article with \"text-embedding-3-small\" model and save to Data Table\n* Previously it cleaned the content for each article\n* Within this loop for each article it's generating the embedding that will then be used to analyze similarities\n* It saves each article in the \"articles\" Data Table"
      },
      "typeVersion": 1
    },
    {
      "id": "d61c23f1-2de2-4b63-9e3b-a38cbb37688d",
      "name": "Nota adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -768,
        -448
      ],
      "parameters": {
        "color": 5,
        "width": 2736,
        "height": 736,
        "content": "## Core process\n* It compares each article to each other to calculate the semantic similarity \n* In that particular example it looks for article that have more than 70% semantic similarity. This can be changed in the \"Workflow Configuration\" node, the variable is called \"percent_minimum_similarity\" \n* For each article, it gets the top 3 related articles ordered by highest semantic similarity. If you want to include more related articles you can change the node \"Top 3 related articles\"\n* It then checks in the \"article_related_links_snapshot\" Data table to check if this article already had related articles. Then it checks if the related are the same or need to be updated in the article\n* The rest of the process is to get the details of each related articles, create the html section, replace it within the article if there is already one and finally update the article through shopify API"
      },
      "typeVersion": 1
    },
    {
      "id": "4d66e34f-f02c-4b30-8a7e-182b828330fd",
      "name": "Nota adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1856,
        304
      ],
      "parameters": {
        "color": 4,
        "width": 864,
        "height": 480,
        "content": "## Set up\n* **Workflow Configuration node need to be updated with your info**"
      },
      "typeVersion": 1
    },
    {
      "id": "03a381af-5bf9-4fa1-a633-3e2a154b1ceb",
      "name": "Nota adhesiva4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1856,
        -448
      ],
      "parameters": {
        "color": 7,
        "width": 1072,
        "height": 736,
        "content": "## IMPORTANT READ BEFORE LAUNCHING THE WORKFLOW\nFor this workflow to work you first need to create three Data Tables. Below is the details of each one. \n**articles**\n** shopify_id (number)\n** shopify_handle (string)\n** title (string)\n** content (string) \n** summary (string)\n** url (string)\n** published_at (datetime)\n** embedding (string)\n** last_analyzed_at (datetime)\n** word_count (number) \n** blog_id (number) \n\n**article_relations**\n** source_shopify_id (number) \n** source_blog_id (number) \n** source_title (string)\n** related_shopify_id (number) \n** related_title (string)\n** related_url (string) \n** similarity_score (number)\n\n**article_related_links_snapshot**\n** source_shopify_id (number)\n** related_shopify_ids (string) \n\n\nThen, the only thing you need to configure is the second node \"Workflow Configuration\". "
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": "ib0LqomNsNIqEoi6",
    "availableInMCP": false,
    "executionOrder": "v1"
  },
  "versionId": "f2d0a7cc-1be7-4878-bd20-e82dae800398",
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