Automatisation LinkedIn

• •Informations d'identification LinkedIn API
• •Token Bot Telegram
• •Informations d'identification Google Sheets API
• •Clé API Google Gemini

{
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  "meta": {
    "instanceId": "0b7fd9057c9a7248304e42ff851cb8ac210753ac550dbd39aab9acb302a34165",
    "templateCredsSetupCompleted": true
  },
  "name": "Linkedin Automation",
  "tags": [
    {
      "id": "HmvMKAccqyXZIUSY",
      "name": "LinkedIn Automation",
      "createdAt": "2025-08-14T08:42:36.216Z",
      "updatedAt": "2025-08-14T08:42:36.216Z"
    },
    {
      "id": "R0SHjnqB9YfJKAVu",
      "name": "Gemini",
      "createdAt": "2025-08-14T10:26:53.631Z",
      "updatedAt": "2025-08-14T10:26:53.631Z"
    },
    {
      "id": "l1eZzX8QnqsKk2gm",
      "name": "Automation",
      "createdAt": "2025-08-14T10:26:53.610Z",
      "updatedAt": "2025-08-14T10:26:53.610Z"
    },
    {
      "id": "n3OO3hKjfreBd7Hk",
      "name": "LinkedIn",
      "createdAt": "2025-08-14T10:26:53.668Z",
      "updatedAt": "2025-08-14T10:26:53.668Z"
    }
  ],
  "nodes": [
    {
      "id": "96c77c8e-fc61-4d53-9bd6-568317aee08c",
      "name": "Telegram Trigger",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        -2544,
        336
      ],
      "webhookId": "c5b3b922-1355-41d4-8f9f-10d8fc803218",
      "parameters": {
        "updates": [
          "message",
          "callback_query"
        ],
        "additionalFields": {
          "download": true,
          "imageSize": "extraLarge"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a34caf37-c9b3-47e8-894a-5259323f70cc",
      "name": "Validation Utilisateur",
      "type": "n8n-nodes-base.code",
      "position": [
        -1872,
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      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Fetch authorized users configuration\nconst authorizedUsers = {\n  telegram_ids: $json.telegram_ids,\n  usernames: $json.usernames\n};\n\nconst userId = $('Switch').item.json.message.from.id.toString();\nconst username = $('Switch').item.json.message.from.username;\n\n// Check if user is authorized (by id or username)\nconst isAuthorized =\n  authorizedUsers.telegram_ids.includes(userId) ||\n  authorizedUsers.usernames.includes(username);\n\n// Return user info and original message\nreturn {\n  json: {\n    user_id: userId,\n    username: username,\n    message_text: $('Switch').item.json.message.text,\n    chat_id: $('Switch').item.json.message.chat.id,\n    message_id: $('Switch').item.json.message.message_id,\n    timestamp: new Date().toISOString(),\n    authorized: isAuthorized\n  }\n};\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a7a0856a-344f-48c8-9308-5fb9dc06eea4",
      "name": "Générer un ID de Publication",
      "type": "n8n-nodes-base.code",
      "position": [
        -1424,
        -32
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Generate unique post ID\nconst now = new Date();\nconst dateStr = now.toISOString().replace(/[-:T]/g, '').slice(0, 14);\nconst random = Math.floor(Math.random() * 1000).toString().padStart(3, '0');\nconst postId = `${dateStr}_${random}`;\n\nreturn {\n  json: {\n    ...$input.item.json,\n    post_id: postId,\n    created_at: now.toISOString()\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "03be5ca8-54bb-4597-af45-0d13b66be14c",
      "name": "Journaliser la Requête Initiale",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -1136,
        -32
      ],
      "parameters": {
        "columns": {
          "value": {
            "post_id": "={{ $json.post_id }}",
            "user_id": "={{ $json.user_id }}",
            "timestamp": "={{ $json.timestamp }}",
            "user_name": "={{ $json.username }}",
            "original_message": "={{ $json.message_text }}"
          },
          "schema": [
            {
              "id": "post_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "post_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "input_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "input_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "original_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "original_message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "extracted_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "extracted_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "identified_topics",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "identified_topics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_queries",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_queries",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_results_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_results_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scraped_content_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scraped_content_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "content_sources",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "content_sources",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "initial_generated_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "initial_generated_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "final_approved_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "final_approved_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "hashtags_used",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "hashtags_used",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "character_count",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "character_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "has_media",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "has_media",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "media_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "media_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "rejection_reason",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "rejection_reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "edit_iterations",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "edit_iterations",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "time_to_approval",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "time_to_approval",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "posted_datetime",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "posted_datetime",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scheduled_time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scheduled_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "post_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "post_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_1h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_1h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_24h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_7d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_7d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_30d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "celebrates",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "celebrates",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "loves",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "loves",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comments_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "shares_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "shares_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "clicks_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "viral_score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "post_id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
      },
      "executeOnce": false,
      "notesInFlow": false,
      "typeVersion": 4,
      "alwaysOutputData": true
    },
    {
      "id": "2dbe1200-b0fb-4cf4-9ea5-214e76c48f7f",
      "name": "Analyser la Classification",
      "type": "n8n-nodes-base.code",
      "position": [
        -400,
        -32
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Enhanced Parse Classification for better integration\nconst inputJson = $input.item.json;\n\n// Extract classification results\nconst classificationResult = {\n  input_type: $json.output.input_type || 'Topic',\n  urls: $json.output.urls || [],\n  topics: $json.output.topics || [],\n  content: $json.output.content || '',\n  processing_instructions: $json.output.processing_instructions || ''\n};\n\n// Preserve original request data for tracking\nconst originalRequestData = {\n  post_id: $('Log Initial Request').item.json.post_id,\n  chat_id:$('Generate Post ID').item.json.chat_id,\n  message_id:$('Generate Post ID').item.json.message_id,\n  timestamp: inputJson.timestamp || new Date().toISOString(),\n  user_id: $('Log Initial Request').item.json.user_id || '',\n  username: $('Log Initial Request').item.json.user_name || '',\n  original_message: $('Log Initial Request').item.json.original_message || inputJson.message_text || ''\n};\n\n// Add processing metadata\nconst processingMetadata = {\n  classification_timestamp: new Date().toISOString(),\n  has_urls: classificationResult.urls.length > 0,\n  has_topics: classificationResult.topics.length > 0,\n  has_content: classificationResult.content.length > 0,\n  url_count: classificationResult.urls.length,\n  topic_count: classificationResult.topics.length,\n  content_length: classificationResult.content.length,\n  requires_scraping: classificationResult.urls.length > 0,\n  requires_search: classificationResult.topics.length > 0,\n  processing_complexity: determineComplexity(classificationResult)\n};\n\n// Determine processing complexity\nfunction determineComplexity(result) {\n  const factors = [\n    result.urls.length > 0,\n    result.topics.length > 0,\n    result.content.length > 0\n  ].filter(Boolean).length;\n  \n  if (factors === 0) return 'simple';\n  if (factors === 1) return 'moderate';\n  if (factors >= 2) return 'complex';\n}\n\n// Return comprehensive data for downstream processing\nreturn {\n  json: {\n    ...originalRequestData,\n    ...classificationResult,\n    ...processingMetadata,\n    \n    // Add routing hints for Content Router\n    route_to_scraper: classificationResult.urls.length > 0,\n    route_to_search: classificationResult.topics.length > 0,\n    route_to_direct: classificationResult.urls.length === 0 && \n                     classificationResult.topics.length === 0,\n    \n    // Prepare data for Google Sheets tracking\n    extracted_urls: classificationResult.urls.join(', '),\n    identified_topics: classificationResult.topics.join(', '),\n    input_classification: classificationResult.input_type,\n    processing_stage: 'classified'\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "d45ddc23-679a-4cd6-82e3-fe5bbe35107f",
      "name": "Routeur de Contenu",
      "type": "n8n-nodes-base.if",
      "position": [
        -176,
        -224
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 1,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "url-only",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "URL"
            },
            {
              "id": "topic-only",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "Topic"
            },
            {
              "id": "mixed",
              "operator": {
                "type": "string",
                "operation": "contains"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "URL+Topic"
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "70b4a682-8827-4e2b-8f01-af887ab7ec41",
      "name": "Extraire les URLs pour Traitement",
      "type": "n8n-nodes-base.code",
      "position": [
        272,
        -464
      ],
      "parameters": {
        "jsCode": "const urls = $input.item.json.output?.urls || $input.item.json.urls || [];\n\nif (urls.length === 0) {\n  // No URLs to process, pass through original data\n  return {\n    json: {\n      ...$input.item.json,\n      urls_to_process: [],\n      total_urls: 0,\n      processing_stage: 'no_urls'\n    }\n  };\n}\n\n// Create individual items for each URL to be processed\nconst urlItems = urls.map((url, index) => ({\n  json: {\n    ...$input.item.json,\n    ...$input.item.json.output,\n    current_url: url,\n    url_index: index,\n    total_urls: urls.length,\n    processing_stage: 'url_extraction'\n  }\n}));\n// Return array of items for processing\nreturn urlItems;"
      },
      "notesInFlow": false,
      "typeVersion": 2,
      "alwaysOutputData": false
    },
    {
      "id": "2c8c8e1c-fb44-47a8-921f-2676f773df7a",
      "name": "Boucle sur les URLs",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        496,
        -464
      ],
      "parameters": {
        "options": {},
        "batchSize": "={{ $json.total_urls }}"
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "d8ef03dd-2db3-4adf-993f-de30fcb090ab",
      "name": "Traiter le Contenu Extraité",
      "type": "n8n-nodes-base.code",
      "position": [
        720,
        -336
      ],
      "parameters": {
        "jsCode": "// Get all inputs from the loop\nconst allInputs = $input.all();\nconsole.log(\"Processing all loop outputs:\", allInputs.length, \"items\");\n\nlet mergedContent = '';\nlet allSourceUrls = [];\nlet allMetadataUrls = [];\nlet overallSuccess = true;\n\n// Process each input from the loop\nfor (const inputItem of allInputs) {\n  const scrapedData = inputItem.json;\n  let processedContent = '';\n  let scrapingSuccess = false;\n  let metadataUrl = '';\n  \n  try {\n    // Handle Firecrawl response structure\n    if (scrapedData.data && scrapedData.data.markdown) {\n      processedContent = scrapedData.data.markdown;\n      \n      // Extract URL from metadata if available\n      if (scrapedData.data.metadata && scrapedData.data.metadata.ogUrl) {\n        metadataUrl = scrapedData.data.metadata.ogUrl;\n        allMetadataUrls.push(metadataUrl);\n      }\n      \n      scrapingSuccess = true;\n    }\n    // Handle alternative response structure\n    else if (scrapedData.markdown) {\n      processedContent = scrapedData.markdown;\n      \n      // Extract URL from metadata if available\n      if (scrapedData.metadata && scrapedData.metadata.ogUrl) {\n        metadataUrl = scrapedData.metadata.ogUrl;\n        allMetadataUrls.push(metadataUrl);\n      }\n      \n      scrapingSuccess = true;\n    }\n    // Handle plain text content\n    else if (scrapedData.content) {\n      processedContent = scrapedData.content;\n      \n      // Extract URL from metadata if available\n      if (scrapedData.metadata && scrapedData.metadata.ogUrl) {\n        metadataUrl = scrapedData.metadata.ogUrl;\n        allMetadataUrls.push(metadataUrl);\n      }\n      \n      scrapingSuccess = true;\n    }\n    else {\n      throw new Error('No content found in Firecrawl response');\n    }\n  } catch (error) {\n    processedContent = `Error scraping ${scrapedData.current_url}: ${error.message}`;\n    scrapingSuccess = false;\n  }\n  \n  // Use metadata URL if available, otherwise fall back to current_url\n  const sourceUrl = metadataUrl || scrapedData.current_url;\n  \n  // Add to merged content with source separator\n  if (sourceUrl) {\n    mergedContent += `\\n\\n--- Source: ${sourceUrl} ---\\n\\n`;\n    allSourceUrls.push(sourceUrl);\n  }\n  mergedContent += processedContent;\n  \n  // Update overall success (false if any scraping failed)\n  if (!scrapingSuccess) {\n    overallSuccess = false;\n  }\n}\n\n// Remove duplicate URLs and create final source URL list\nconst uniqueSourceUrls = [...new Set(allSourceUrls)];\nconst uniqueMetadataUrls = [...new Set(allMetadataUrls)];\n\nconsole.log(\"Extracted metadata URLs:\", uniqueMetadataUrls);\nconsole.log(\"All source URLs:\", uniqueSourceUrls);\n\n// Return only the required fields\nreturn {\n  json: {\n    merged_content: mergedContent.trim(),\n    scraping_success: overallSuccess,\n    source_url: uniqueSourceUrls.join(', '),\n    metadata_urls: uniqueMetadataUrls.join(', '), // Additional field with metadata URLs\n    processing_stage: 'content_merged'\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "8d16150a-502b-4c6c-a16c-b36efd85e7ed",
      "name": "Fusionner les Sources de Contenu",
      "type": "n8n-nodes-base.code",
      "position": [
        1168,
        -96
      ],
      "parameters": {
        "jsCode": "// Optimized for direct JSON access without looping\nconst allInputs = $input.all();\n\nconsole.log(\"Total inputs received:\", allInputs.length);\n\n// Initialize the complete output structure\nlet processedData = {\n  // Original input data\n  post_id: '',\n  user_id: '',\n  username: '',\n  chat_id: '',\n  message_id:'',\n  message_text: '',\n  input_type: '',\n  urls: [],\n  topics: [],\n  content: '',\n  processing_instructions: '',\n  \n  // Scraped content from URLs\n  scraped_content: '',\n  scraped_urls: [],\n  scraped_summary: '',\n  \n  // Brave search results\n  brave_search_results: '',\n  brave_search_performed: false,\n  brave_search_query: '',\n  \n  // Processing metadata\n  content_sources: [],\n  total_scraped_urls: 0,\n  successful_scrapes: 0,\n  failed_scrapes: 0,\n  processing_timestamp: new Date().toISOString(),\n  routes_taken: [],\n  \n  // Final merged content for LLM\n  merged_content_for_llm: ''\n};\n\n// Direct access to specific inputs based on expected structure\nconsole.log(\"Processing inputs with direct JSON access...\");\nconsole.log(\"Input structures:\", allInputs.map((input, index) => ({\n  index,\n  keys: Object.keys(input.json || {}).slice(0, 10),\n  hasArray: Array.isArray(input.json),\n  jsonType: typeof input.json\n})));\n\n// Look for Parse Classification data in any input\nconst parseInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => \n      item.post_id !== undefined || \n      item.input_type !== undefined || \n      item.processing_stage === 'classified'\n    );\n  }\n  \n  // Handle direct object\n  return input.json.post_id !== undefined || \n         input.json.input_type !== undefined || \n         input.json.processing_stage === 'classified';\n});\n\nif (parseInput) {\n  console.log(\"Found Parse Classification data\");\n  \n  let parseData;\n  if (Array.isArray(parseInput.json)) {\n    // Find the classification data in the array\n    parseData = parseInput.json.find(item => \n      item.post_id !== undefined || \n      item.input_type !== undefined || \n      item.processing_stage === 'classified'\n    );\n  } else {\n    parseData = parseInput.json;\n  }\n  \n  if (parseData) {\n    console.log(\"Processing Parse Classification data:\", Object.keys(parseData));\n    \n    processedData.post_id = parseData.post_id || '';\n    processedData.chat_id = parseData.chat_id || '';\n    processedData.message_id = parseData.message_id || '';\n    processedData.user_id = parseData.user_id || '';\n    processedData.username = parseData.username || '';\n    processedData.chat_id = parseData.chat_id || '';\n    processedData.message_text = parseData.original_message || parseData.message_text || '';\n    processedData.input_type = parseData.input_type || '';\n    \n    // Handle URLs - could be array or string\n    if (parseData.urls && Array.isArray(parseData.urls)) {\n      processedData.urls = parseData.urls;\n    } else if (parseData.extracted_urls) {\n      processedData.urls = Array.isArray(parseData.extracted_urls) ? \n        parseData.extracted_urls : [parseData.extracted_urls];\n    } else {\n      processedData.urls = [];\n    }\n    \n    // Handle topics - could be array or string  \n    if (parseData.topics && Array.isArray(parseData.topics)) {\n      processedData.topics = parseData.topics;\n    } else if (parseData.identified_topics) {\n      processedData.topics = Array.isArray(parseData.identified_topics) ? \n        parseData.identified_topics : [parseData.identified_topics];\n    } else {\n      processedData.topics = [];\n    }\n    \n    processedData.content = parseData.content || '';\n    processedData.processing_instructions = parseData.processing_instructions || '';\n    processedData.routes_taken.push('Parse Classification');\n  }\n}\n\n// Input 2: Scraped Content (look for merged_content or scraped_content)\nconst scrapedInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => \n      item.merged_content || \n      item.scraped_content || \n      item.processing_stage === 'content_merged'\n    );\n  }\n  \n  // Handle direct object\n  return input.json.merged_content || \n         input.json.scraped_content || \n         input.json.processing_stage === 'content_merged';\n});\n\nif (scrapedInput) {\n  console.log(\"Found Scraped Content\");\n  \n  let scrapedData;\n  if (Array.isArray(scrapedInput.json)) {\n    // Find the scraped data in the array\n    scrapedData = scrapedInput.json.find(item => \n      item.merged_content || item.scraped_content || item.processing_stage === 'content_merged'\n    ) || scrapedInput.json[0]; // fallback to first item if structure is different\n  } else {\n    scrapedData = scrapedInput.json;\n  }\n  \n  if (scrapedData) {\n    console.log(\"Processing Scraped Content:\", Object.keys(scrapedData).slice(0, 10));\n    \n    // Use either scraped_content or merged_content\n    processedData.scraped_content = scrapedData.scraped_content || scrapedData.merged_content || '';\n    \n    // Handle URLs from various sources\n    if (scrapedData.scraped_urls && Array.isArray(scrapedData.scraped_urls)) {\n      processedData.scraped_urls = scrapedData.scraped_urls;\n    } else if (scrapedData.source_url) {\n      processedData.scraped_urls = scrapedData.source_url.split(', ').filter(url => url.trim());\n    } else if (scrapedData.metadata_urls) {\n      processedData.scraped_urls = Array.isArray(scrapedData.metadata_urls) ? \n        scrapedData.metadata_urls : [scrapedData.metadata_urls];\n    } else {\n      processedData.scraped_urls = [];\n    }\n    \n    processedData.successful_scrapes = scrapedData.scraping_success !== false ? processedData.scraped_urls.length : 0;\n    processedData.total_scraped_urls = processedData.scraped_urls.length;\n    processedData.scraped_summary = `Successfully scraped ${processedData.successful_scrapes} URLs`;\n    \n    if (scrapedData.scraping_success !== false && processedData.scraped_urls.length > 0) {\n      processedData.content_sources.push(`Web Scraping (${processedData.scraped_urls.length} URLs)`);\n    } else {\n      processedData.content_sources.push('Web Scraping (Failed)');\n    }\n    processedData.routes_taken.push('URL Processing');\n  }\n}\n\n// Input 3: Brave Search Results (look for web.results)\nconst searchInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => item.web && item.web.results);\n  }\n  \n  // Handle direct object\n  return input.json.web && input.json.web.results;\n});\n\nif (searchInput) {\n  console.log(\"Found Brave Search Results\");\n  \n  let searchData;\n  if (Array.isArray(searchInput.json)) {\n    searchData = searchInput.json.find(item => item.web && item.web.results);\n  } else {\n    searchData = searchInput.json;\n  }\n  \n  if (searchData) {\n    console.log(\"Processing Brave Search Results\");\n    \n    processedData.brave_search_performed = true;\n    processedData.brave_search_query = searchData.query || processedData.topics.join(' ');\n    \n    if (searchData.web.results && searchData.web.results.length > 0) {\n      const formattedResults = searchData.web.results.slice(0, 5).map((result, index) => {\n        return [\n          `**Result ${index + 1}:**`,\n          `Title: ${result.title}`,\n          `URL: ${result.url}`,\n          `Description: ${result.description || 'No description available'}`,\n          result.age ? `Published: ${result.age}` : ''\n        ].filter(line => line).join('\\n');\n      }).join('\\n\\n');\n      \n      processedData.brave_search_results = formattedResults;\n      processedData.content_sources.push(`Brave Search (${searchData.web.results.length} results)`);\n    }\n    processedData.routes_taken.push('Topic Search');\n  }\n}\n\n// Input 4: Content Router False route (look for bypass_reason or similar markers)\nconst routerInput = allInputs.find(input => {\n  if (!input.json) return false;\n  \n  // Handle array structure\n  if (Array.isArray(input.json)) {\n    return input.json.some(item => \n      item.bypass_reason || \n      item.route_taken === 'false' || \n      item.processing_stage === 'bypassed'\n    );\n  }\n  \n  // Handle direct object\n  return input.json.bypass_reason || \n         input.json.route_taken === 'false' ||\n         input.json.processing_stage === 'bypassed';\n});\n\nif (routerInput) {\n  console.log(\"Found Content Router False route\");\n  \n  let routerData;\n  if (Array.isArray(routerInput.json)) {\n    routerData = routerInput.json.find(item => \n      item.bypass_reason || item.route_taken === 'false' || item.processing_stage === 'bypassed'\n    );\n  } else {\n    routerData = routerInput.json;\n  }\n  \n  if (routerData) {\n    processedData.routes_taken.push('Content Router (False)');\n    if (routerData.bypass_reason) {\n      processedData.bypass_reason = routerData.bypass_reason;\n    }\n  }\n}\n\n// Build the final merged content for LLM\nlet llmContent = [];\nlet sectionCount = 0;\n\n// Add processing instructions if available\nif (processedData.processing_instructions) {\n  llmContent.push(`## PROCESSING INSTRUCTIONS\\n${processedData.processing_instructions}`);\n  sectionCount++;\n}\n\n// Add original content if provided\nif (processedData.content) {\n  llmContent.push(`## ORIGINAL CONTENT TO ENHANCE\\n${processedData.content}`);\n  sectionCount++;\n}\n\n// Add topics if provided\nif (processedData.topics && processedData.topics.length > 0) {\n  const topicsText = Array.isArray(processedData.topics) ? \n    processedData.topics.filter(topic => topic).join('\\n- ') : \n    processedData.topics;\n  llmContent.push(`## TOPICS TO COVER\\n- ${topicsText}`);\n  sectionCount++;\n}\n\n// Add scraped content with source attribution\nif (processedData.scraped_content) {\n  llmContent.push(`## WEB CONTENT (Scraped from URLs)\\n${processedData.scraped_content}`);\n  sectionCount++;\n}\n\n// Add Brave search results\nif (processedData.brave_search_results) {\n  llmContent.push(`## SEARCH RESULTS (Latest Information)\\n${processedData.brave_search_results}`);\n  sectionCount++;\n}\n\n// Create context summary for LLM\nconst contextSummary = [\n  `Input Type: ${processedData.input_type || 'Not specified'}`,\n  `Routes Processed: ${processedData.routes_taken.join(', ')}`,\n  `Content Sources: ${processedData.content_sources.join(', ') || 'None'}`,\n  `Sections Available: ${sectionCount}`\n].join('\\n');\n\n// Add context summary at the beginning\nif (sectionCount > 0) {\n  processedData.merged_content_for_llm = [\n    `## CONTEXT SUMMARY\\n${contextSummary}`,\n    ...llmContent\n  ].join('\\n\\n---\\n\\n');\n} else {\n  // Fallback content if no data was gathered\n  if (processedData.topics && processedData.topics.length > 0) {\n    const topicsText = Array.isArray(processedData.topics) ? \n      processedData.topics.filter(topic => topic).join('\\n- ') : \n      processedData.topics;\n    processedData.merged_content_for_llm = `Please generate content about the following topics:\\n- ${topicsText}`;\n    processedData.content_sources.push('Topic-based Generation Request');\n  } else if (processedData.content) {\n    processedData.merged_content_for_llm = `Please enhance and format the following content:\\n\\n${processedData.content}`;\n    processedData.content_sources.push('Content Enhancement Request');\n  } else {\n    processedData.merged_content_for_llm = 'Please generate relevant LinkedIn content based on current trends.';\n    processedData.content_sources.push('General Generation Request');\n  }\n}\n\n// Add processing statistics\nprocessedData.scraping_success_rate = processedData.total_scraped_urls > 0 ? \n  `${((processedData.successful_scrapes / processedData.total_scraped_urls) * 100).toFixed(1)}%` : 'N/A';\n\n// Log final summary\nconsole.log(\"=== PROCESSING COMPLETE ===\");\nconsole.log(\"Routes taken:\", processedData.routes_taken);\nconsole.log(\"Content sources used:\", processedData.content_sources);\nconsole.log(\"Total content length:\", processedData.merged_content_for_llm.length, \"characters\");\nconsole.log(\"Sections included:\", sectionCount);\nconsole.log(\"Processing summary:\", {\n  totalInputs: allInputs.length,\n  routesTaken: processedData.routes_taken.length,\n  contentSources: processedData.content_sources.length,\n  hasScrapedContent: !!processedData.scraped_content,\n  hasSearchResults: !!processedData.brave_search_results,\n  finalContentLength: processedData.merged_content_for_llm.length\n});\n\nreturn { json: processedData };"
      },
      "executeOnce": false,
      "typeVersion": 2,
      "alwaysOutputData": false
    },
    {
      "id": "79324d69-6cc4-4f3f-a398-c5a8e7478d93",
      "name": "Prévisualisation du Formatage",
      "type": "n8n-nodes-base.code",
      "position": [
        1744,
        -96
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Parse Gemini response and format preview\nlet generatedPost;\ntry {\n  const responseText = $input.item.json.text;\n  const jsonMatch = responseText.match(/\\{[\\s\\S]*\\}/); // Find JSON in response\n  \n  if (jsonMatch) {\n    generatedPost = JSON.parse(jsonMatch[0]);\n  } else {\n    // Fallback if JSON parsing fails\n    generatedPost = {\n      post_content: responseText,\n      hashtags: ['#LinkedIn', '#Professional'],\n      character_count: responseText.length,\n      hook: responseText.substring(0, 50),\n      cta: 'What do you think?',\n      key_points: ['Generated content']\n    };\n  }\n} catch (error) {\n  // Ultimate fallback\n  generatedPost = {\n    post_content: $input.item.json.text || 'Content generation failed',\n    hashtags: ['#LinkedIn'],\n    character_count: ($input.item.json.text || '').length,\n    hook: 'Content preview',\n    cta: 'Please try again',\n    key_points: ['Error in generation']\n  };\n}\n\n// Create preview text\nconst preview = `📝 **LinkedIn Post Preview**\n━━━━━━━━━━━━━━━━━━━━\n\n${generatedPost.post_content}\n\n━━━━━━━━━━━━━━━━━━━━\n📊 **Post Analytics:**\n• Characters: ${generatedPost.character_count}/2800\n• Hashtags: ${generatedPost.hashtags.join(', ')}\n• Hook: \"${generatedPost.hook.substring(0, 50)}...\"\n\n🎯 **Key Points:**\n${generatedPost.key_points.map(p => '• ' + p).join('\\n')}\n\n━━━━━━━━━━━━━━━━━━━━\n**Choose an action:**`;\n\nreturn {\n  json: {\n    ...$input.item.json,\n    ...generatedPost,\n    preview_text: preview,\n    approval_pending: true,\n    generation_timestamp: new Date().toISOString()\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "7642abfa-80a4-4254-808d-8eafd3aa3d75",
      "name": "Envoyer l'Aperçu à Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1968,
        -96
      ],
      "webhookId": "db5637e5-c376-4926-8416-dbaa1be9f796",
      "parameters": {
        "text": "={{ $json.preview_text }}",
        "chatId": "={{ $('Merge Content Sources').item.json.chat_id }}",
        "replyMarkup": "inlineKeyboard",
        "inlineKeyboard": {
          "rows": [
            {
              "row": {
                "buttons": [
                  {
                    "text": "Approve",
                    "additionalFields": {
                      "callback_data": "=approve_{{ $('Merge Content Sources').item.json.post_id || $json.post_id || 'default' }}"
                    }
                  },
                  {
                    "text": "Edit",
                    "additionalFields": {
                      "callback_data": "=edit_{{ $('Merge Content Sources').item.json.post_id || $json.post_id || 'default' }}"
                    }
                  }
                ]
              }
            },
            {
              "row": {
                "buttons": [
                  {
                    "text": "Reject",
                    "additionalFields": {
                      "callback_data": "=reject_{{ $('Merge Content Sources').item.json.post_id || $json.post_id || 'default' }}"
                    }
                  }
                ]
              }
            }
          ]
        },
        "additionalFields": {
          "parse_mode": "HTML",
          "reply_to_message_id": "={{ $('Merge Content Sources').item.json.message_id }}"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2,
      "alwaysOutputData": true
    },
    {
      "id": "04db5e51-3a5f-4817-80d9-135a1164db3e",
      "name": "Condition Si",
      "type": "n8n-nodes-base.if",
      "position": [
        496,
        -144
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "de6e0737-7f17-4336-92d2-a71c5bca8131",
              "operator": {
                "type": "array",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.output.topics }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "6f882b2f-c990-451f-ba17-015d992c4636",
      "name": "Publication LinkedIn Initiale",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1392,
        -96
      ],
      "parameters": {
        "text": "=",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "=You are an expert LinkedIn content creator specializing in professional development and technology trends. Generate engaging, informative LinkedIn posts that provide genuine value to a professional audience.\n\nCONTENT REQUIREMENTS:\n\n-Start with a compelling, attention-grabbing hook related to the actual content\n-Provide specific, actionable insights directly from the source material\n-Include relevant statistics, data points, or key findings when available\n-Use short paragraphs (2-3 lines max) with line breaks for mobile readability\n-Write in third person perspective unless specified to use first person\n-Include 3-5 highly relevant hashtags aligned with the content topic\n-End with a meaningful call-to-action that encourages engagement\n-Keep content within 2800 characters maximum\n-Use 1-3 emojis strategically for emphasis, not decoration\n\nSOURCE ATTRIBUTION RULES:\n\n-If input_type contains \"URL\": Include \"Source: [URL]\" at the end before hashtags\n-If multiple URLs: List as \"Sources: [URL1], [URL2]\"\n-If content comes from web scraping: Extract and reference the actual article title and publication\n-Make it clear that insights are \"based on\" or \"according to\" the source\n\nCONTENT TONE:\n\n-Professional yet conversational and approachable\n-Authoritative but not preachy\n-Enthusiastic and focused on providing valuable insights\n-Credible while maintaining relatability\n\nTARGET AUDIENCE:\n\n-Industry professionals\n-Thought leaders\n-Individuals focused on career growth and staying current with industry trends\n\nCONTENT STRUCTURE:\n\n-Hook: 1-2 sentences that grab attention\n-Key insights or main content: 3-4 short paragraphs\n-Application or takeaway: 1-2 sentences\n-Call-to-action question to drive engagement\n-Source attribution (if applicable)\n-Hashtags\n\nEXAMPLES OF STRONG HOOKS:\n\n-The [industry/topic] landscape is shifting faster than ever…\n-Just discovered a comprehensive guide that could change how professionals approach [topic]…\n-The numbers don’t lie: [specific statistic] shows that [insight]…\n-[Surprising fact or trend] is reshaping [industry/field]…\n\nOUTPUT FORMAT: Return ONLY a JSON object with the following structure:\n{\n\"post_content\": \"the complete post including source attribution and hashtags\",\n\"hashtags\": [\"hashtag1\", \"hashtag2\", \"hashtag3\"],\n\"character_count\": 1234,\n\"hook\": \"the opening line that grabs attention\",\n\"cta\": \"the call-to-action question\",\n\"key_points\": [\"specific insight 1\", \"specific insight 2\", \"specific insight 3\"],\n\"source_urls\": [\"url1\", \"url2\"] // if applicable\n}\n\nBased on the following information, create a LinkedIn post that transforms the source content into engaging, valuable insights for your professional network:"
            },
            {
              "type": "HumanMessagePromptTemplate",
              "message": "=Input Type: {{ $json.input_type }}\nURLS: {{ $json.scraped_urls }}\nTopics: {{ $json.topics }} \nProcessing Instructions: {{ $json.processing_instructions }} \nScraped Content: {{ $json.scraped_content }}\nSearch Results: {{ $json.brave_search_results }}"
            }
          ]
        },
        "promptType": "define"
      },
      "executeOnce": true,
      "typeVersion": 1.7
    },
    {
      "id": "ab0a005e-b926-49f7-93bc-4de5e3d5c011",
      "name": "Extraire le contenu d'une URL",
      "type": "@mendable/n8n-nodes-firecrawl.firecrawl",
      "position": [
        720,
        -528
      ],
      "parameters": {
        "url": "={{ $json.current_url }}",
        "operation": "scrape",
        "scrapeOptions": {
          "options": {
            "headers": {}
          }
        },
        "requestOptions": {}
      },
      "credentials": {
        "firecrawlApi": {
          "id": "dYaNt7iSC4jgmuK5",
          "name": "Firecrawl account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e5f7a21a-1dbc-4e2e-8f84-de06d87adaf3",
      "name": "Condition Si1",
      "type": "n8n-nodes-base.if",
      "position": [
        48,
        -464
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "6cc58f5a-cc9b-4698-8bfe-3a8a08394cb5",
              "operator": {
                "type": "string",
                "operation": "contains"
              },
              "leftValue": "={{ $json.input_type }}",
              "rightValue": "URL"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "784ae37f-d98c-46be-9cc0-f7abab2d7aaf",
      "name": "Fusionner",
      "type": "n8n-nodes-base.merge",
      "position": [
        944,
        -128
      ],
      "parameters": {
        "numberInputs": 4
      },
      "typeVersion": 3.2
    },
    {
      "id": "a7b81e78-6e44-4e2c-a96c-f4be302f8667",
      "name": "Mettre à jour une ligne dans la feuille",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2192,
        -96
      ],
      "parameters": {
        "columns": {
          "value": {
            "post_id": "={{ $('Merge Content Sources').item.json.post_id }}",
            "timestamp": "={{ $('Merge Content Sources').item.json.processing_timestamp }}",
            "hashtags_used": "={{ $('Format Preview').item.json.hashtags }}",
            "extracted_urls": "={{ $('Merge Content Sources').item.json.urls }}",
            "search_queries": "={{ $('Merge Content Sources').item.json.brave_search_query }}",
            "character_count": "={{ $('Format Preview').item.json.character_count }}",
            "content_sources": "={{ $('Merge Content Sources').item.json.content_sources }}",
            "identified_topics": "={{ $('Merge Content Sources').item.json.topics }}",
            "final_approved_post": "={{ $('Format Preview').item.json.post_content }}",
            "initial_generated_post": "={{ $('Format Preview').item.json.post_content }}",
            "search_results_summary": "={{ $('Merge Content Sources').item.json.brave_search_results }}",
            "scraped_content_summary": "={{ $('Merge Content Sources').item.json.scraped_summary }}"
          },
          "schema": [
            {
              "id": "post_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "post_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "user_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "user_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "input_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "input_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "original_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "original_message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "extracted_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "extracted_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "identified_topics",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "identified_topics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_queries",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_queries",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_results_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_results_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scraped_content_summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scraped_content_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "content_sources",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "content_sources",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "initial_generated_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "initial_generated_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "final_approved_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "final_approved_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "hashtags_used",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "hashtags_used",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "character_count",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "character_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "has_media",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "has_media",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "media_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "media_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "rejection_reason",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "rejection_reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "edit_iterations",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "edit_iterations",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "time_to_approval",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "time_to_approval",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "posted_datetime",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "posted_datetime",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "scheduled_time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "scheduled_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "post_type",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "post_type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_1h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_1h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_24h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_7d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_7d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_30d",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "celebrates",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "celebrates",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "loves",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "loves",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comments_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "shares_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "shares_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "clicks_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "viral_score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "number",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "post_id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "5c8b4551-ba7e-4cf1-8a97-479e3727d728",
      "name": "Traiter le Callback",
      "type": "n8n-nodes-base.code",
      "position": [
        -2096,
        672
      ],
      "parameters": {
        "jsCode": "// Process callback query and determine action\nconst rawCallbackData = $input.item.json.callback_query.data;\nconsole.log('Raw callback data:', rawCallbackData);\n\n// Remove surrounding quotes and clean the callback data\nlet callbackData = rawCallbackData;\nif (typeof callbackData === 'string') {\n  // Remove surrounding quotes (both single and double)\n  callbackData = callbackData.replace(/^[\"']+|[\"']+$/g, '');\n  // Remove any remaining quotes inside\n  callbackData = callbackData.replace(/[\"']/g, '');\n}\n\nconsole.log('Cleaned callback data:', callbackData);\nconst [action, postId_1,postId_2] = callbackData.split('_');\nconst postId = postId_1 + '_' + postId_2\nconst queryId = $input.item.json.callback_query.id;\nconst userId = $input.item.json.callback_query.from.id;\nconst messageId = $input.item.json.callback_query.message.message_id;\nconst chatId = $input.item.json.callback_query.message.chat.id;\nconst userName = $input.item.json.callback_query.from.first_name || 'User';\n\n// Get original post content from message text\nconst originalText = $input.item.json.callback_query.message.text;\n\n// Extract just the post content (remove any previous instructions)\nconst contentLines = originalText.split('\\n');\nlet postContent = '';\nfor (let line of contentLines) {\n  if (line.includes('📋') || line.includes('Actions:') || line.includes('👆')) {\n    break;\n  }\n  postContent += line + '\\n';\n}\npostContent = postContent.trim();\n\nlet response = {\n  post_id: postId || 'default',\n  action: action,\n  queryId:queryId,\n  user_id: userId,\n  chat_id: chatId,\n  message_id: messageId,\n  user_name: userName,\n  original_content: postContent,\n  timestamp: new Date().toISOString()\n};\n\nswitch(action) {\n  case 'approve':\n    response.status = 'approved';\n    response.next_step = 'publish';\n    response.linkedin_content = postContent;\n    response.message = `✅ Post approved by ${userName}! Publishing to LinkedIn...`;\n    break;\n    \n  case 'edit':\n    response.status = 'editing';\n    response.next_step = 'rewrite';\n    response.edit_instruction = 'Please improve this post by making it more engaging, professional, and LinkedIn-appropriate. Keep the core message but enhance the tone and structure.';\n    response.message = `✏️ ${userName} requested edits. Rewriting with Gemini...`;\n    break;\n    \n  case 'reject':\n    response.status = 'rejected';\n    response.next_step = 'complete';\n    response.message = `❌ Post rejected by ${userName}.`;\n    break;\n    \n  case 'regenerate':\n    response.status = 'regenerating';\n    response.next_step = 'regenerate';\n    response.regenerate_prompt = 'Create a completely new LinkedIn post on the same topic with a fresh perspective and different approach.';\n    response.message = `🔄 ${userName} requested regeneration. Creating new version...`;\n    break;\n    \n  case 'schedule':\n    response.status = 'scheduling';\n    response.next_step = 'request_schedule_time';\n    response.linkedin_content = postContent;\n    response.message = `⏰ ${userName} wants to schedule this post. When would you like it published?\\n\\nExamples:\\n• \"tomorrow 9am\"\\n• \"2024-12-25 14:30\"\\n• \"next monday 10:00\"`;\n    break;\n    \n  default:\n    response.status = 'error';\n    response.message = '❓ Unknown action.';\n}\n\nreturn { json: response };"
      },
      "typeVersion": 2
    },
    {
      "id": "e97c3e0d-218c-4e7b-befb-ff68e8a7edf6",
      "name": "Router les Actions",
      "type": "n8n-nodes-base.switch",
      "position": [
        -1648,
        656
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "version": 1,
                  "leftValue": "",
                  "caseSensitive": false,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "45e826e8-9f56-4ab9-a373-451c8175849d",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $('Process Callback').item.json.action }}",
                    "rightValue": "approve"
                  }
                ]
              }
            },
            {
              "conditions": {
                "options": {
                  "version": 1,
                  "leftValue": "",
                  "caseSensitive": false,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "69c0bb23-fbec-4659-ae7b-c6a31499c946",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $('Process Callback').item.json.action }}",
                    "rightValue": "edit"
                  }
                ]
              }
            },
            {
              "conditions": {
                "options": {
                  "version": 1,
                  "leftValue": "",
                  "caseSensitive": false,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "4268d714-1ad7-41e3-9003-6261ffb5e61f",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $('Process Callback').item.json.action }}",
                    "rightValue": "reject"
                  }
                ]
              }
            }
          ]
        },
        "options": {
          "ignoreCase": true
        }
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "211f2430-b7fc-47d7-8fb3-6353a1e9779a",
      "name": "Envoyer le Statut (Approuver)",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1120,
        480
      ],
      "webhookId": "a4e1e719-2120-4877-b087-a900797b2b7d",
      "parameters": {
        "text": "Approved the post and ready to post to linkedIn",
        "chatId": "={{ $('Process Callback').item.json.chat_id }}",
        "forceReply": {},
        "replyMarkup": "forceReply",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "95a591bc-7533-445f-abc0-1cb60e76ec48",
      "name": "Confirmer la Publication",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -96,
        480
      ],
      "webhookId": "89ab4048-4f71-4431-b9dd-0da3b05aa318",
      "parameters": {
        "text": "=🎉 Post Published Successfully!\n✅ Your LinkedIn post is now live\n{{ $json.urn }}\n📊 Engagement tracking enabled",
        "chatId": "={{ $('Process Callback').item.json.chat_id }}",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5c10dc1d-2964-4089-8222-25dc69b09f9d",
      "name": "Traiter la Réécriture",
      "type": "n8n-nodes-base.code",
      "position": [
        -528,
        1280
      ],
      "parameters": {
        "jsCode": "// Process the rewritten content and prepare for approval\nconst rewrittenContent = $input.item.json.text || $input.item.json.response;\nconst originalData = $('Process Callback').item.json;\n\nreturn {\n  json: {\n    ...originalData,\n    rewritten_content: rewrittenContent,\n    status: 'rewritten',\n    message: `✏️ <b>Post Rewritten!</b>\\n\\n<i>Here's the improved version:</i>\\n\\n${rewrittenContent}\\n\\n<b>📋 Actions:</b>`,\n    linkedin_content: rewrittenContent\n  }\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "3970d4b0-8d13-4854-9eb5-62db19484b81",
      "name": "Envoyer la Réécriture pour Validation",
      "type": "n8n-nodes-base.telegram",
      "position": [
        32,
        1280
      ],
      "webhookId": "033e2a7d-8f5a-44a4-bf61-e5d5b278775a",
      "parameters": {
        "text": "={{ $json.final_approved_post }}",
        "chatId": "={{ $('Process Callback').item.json.chat_id }}",
        "replyMarkup": "inlineKeyboard",
        "inlineKeyboard": {
          "rows": [
            {
              "row": {
                "buttons": [
                  {
                    "text": "✅ Approve Rewrite",
                    "additionalFields": {
                      "callback_data": "=approve_{{ $json.post_id }}"
                    }
                  },
                  {
                    "text": "✏️ Edit Again",
                    "additionalFields": {
                      "callback_data": "=edit_{{ $json.post_id }}"
                    }
                  }
                ]
              }
            },
            {
              "row": {
                "buttons": [
                  {
                    "text": "❌ Reject",
                    "additionalFields": {
                      "callback_data": "=reject_{{ $json.post_id }}"
                    }
                  }
                ]
              }
            }
          ]
        },
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "cfb82bd5-01a6-48dd-b6ea-293909b44d84",
      "name": "Envoyer le Rejet",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1216,
        1584
      ],
      "webhookId": "5d999c74-deb2-47d3-aa36-bf994e17d9f1",
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            },
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              "canBeUsedToMatch": true
            },
            {
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              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "id": "post_type",
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              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_1h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_1h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_24h",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_7d",
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              "displayName": "impressions_7d",
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              "canBeUsedToMatch": true
            },
            {
              "id": "impressions_30d",
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              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
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              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "canBeUsedToMatch": true
            },
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              "id": "celebrates",
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              "canBeUsedToMatch": true
            },
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              "id": "loves",
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              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
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              "display": true,
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              "displayName": "comments_total",
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              "canBeUsedToMatch": true
            },
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              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
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              "display": true,
              "required": false,
              "displayName": "clicks_total",
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              "canBeUsedToMatch": true
            },
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              "id": "engagement_rate",
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              "required": false,
              "displayName": "engagement_rate",
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              "canBeUsedToMatch": true
            },
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              "id": "viral_score",
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              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
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              "display": true,
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              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
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              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "id": "row_number",
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              "display": true,
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              "readOnly": true,
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              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
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          "convertFieldsToString": false
        },
        "options": {},
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          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "ExnZpB5bwFQ3gQ5N",
          "name": "Google Sheets account 2"
        }
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    {
      "id": "d1d2ee44-33fb-4c42-b72e-d6c485b6f3ac",
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      "type": "n8n-nodes-base.googleSheets",
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      ],
      "parameters": {
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            "timestamp": "=",
            "approval_status": "Approved",
            "final_approved_post": "={{ $json.rewritten_content }}"
          },
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              "displayName": "timestamp",
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              "canBeUsedToMatch": true
            },
            {
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            },
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            },
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              "required": false,
              "displayName": "extracted_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "identified_topics",
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              "displayName": "identified_topics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_queries",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "search_queries",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "search_results_summary",
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              "display": true,
              "required": false,
              "displayName": "search_results_summary",
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              "canBeUsedToMatch": true
            },
            {
              "id": "scraped_content_summary",
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              "displayName": "scraped_content_summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "content_sources",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "content_sources",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "initial_generated_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "initial_generated_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "final_approved_post",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "final_approved_post",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "hashtags_used",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "hashtags_used",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "character_count",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "character_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "has_media",
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              "required": false,
              "displayName": "has_media",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "media_urls",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "media_urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "approval_status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "rejection_reason",
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              "display": true,
              "required": false,
              "displayName": "rejection_reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "id": "edit_iterations",
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              "required": false,
              "displayName": "edit_iterations",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "display": true,
              "required": false,
              "displayName": "time_to_approval",
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              "canBeUsedToMatch": true
            },
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              "required": false,
              "displayName": "posted_datetime",
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              "canBeUsedToMatch": true
            },
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              "display": true,
              "required": false,
              "displayName": "scheduled_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "linkedin_post_url",
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              "display": true,
              "required": false,
              "displayName": "linkedin_post_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "displayName": "post_type",
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              "canBeUsedToMatch": true
            },
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              "required": false,
              "displayName": "impressions_1h",
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              "canBeUsedToMatch": true
            },
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              "display": true,
              "required": false,
              "displayName": "impressions_24h",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
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              "required": false,
              "displayName": "impressions_7d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
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              "display": true,
              "required": false,
              "displayName": "impressions_30d",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reactions_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reactions_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
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              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "celebrates",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "celebrates",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "loves",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "loves",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comments_total",
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              "required": false,
              "displayName": "comments_total",
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              "canBeUsedToMatch": true
            },
            {
              "id": "shares_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "shares_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "clicks_total",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "clicks_total",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "viral_score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "viral_score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "follower_growth",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "follower_growth",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "performance_tier",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "performance_tier",
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              "canBeUsedToMatch": true
            },
            {
              "id": "last_metrics_update",
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              "display": true,
              "required": false,
              "displayName": "last_metrics_update",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagement_rate",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "engagement_rate",
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              "canBeUsedToMatch": true
            },
            {
              "id": "approval_status",
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              "displayName": "approval_status",
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              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
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              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
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          "attemptToConvertTypes": false,
          "convertFieldsToString": false
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          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit#gid=0",
          "cachedResultName": "Posts_Master"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1RvHyWEvEZR5etmq1KfzTOkSIXY5tUT5TLVgDSUfAr5c/edit?usp=drivesdk",
          "cachedResultName": "LinekedIn Posts"
        }
      },
      "credentials": {
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          "name": "Google Sheets account 2"
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    {
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      "name": "Commutateur",
      "type": "n8n-nodes-base.switch",
      "position": [
        -2320,
        336
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
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                  "caseSensitive": true,
                  "typeValidation": "strict"
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                    "operator": {
                      "type": "boolean",
                      "operation": "true",
                      "singleValue": true
                    },
                    "leftValue": "={{$json[\"message\"] ? true : false}}",
                    "rightValue": "true"
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                ]
              }
            },
            {
              "conditions": {
                "options": {
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                    "operator": {
                      "type": "boolean",
                      "operation": "true",
                      "singleValue": true
                    },
                    "leftValue": "={{$json[\"callback_query\"] ? true : false}}",
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      "typeVersion": 3.2
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    {
      "id": "d79f7123-a20b-4d0d-8d39-793d714b528f",
      "name": "Vérification d'Autorisation",
      "type": "n8n-nodes-base.if",
      "position": [
        -1648,
        80
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "e1622adb-df46-4c6a-bc95-dd5ff2ef2951",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.authorized }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c4d4ed74-bf08-4a45-bdfd-9f5539fc025a",
      "name": "Envoyer un message texte",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1424,
        176
      ],
      "webhookId": "64c87731-9baa-425f-aa91-9e1a4df18af8",
      "parameters": {
        "text": "=⚠️ <b>Access Denied</b>\n\nHey {{ $json.username }},\nYou are not authorized to use this service, Reach out to your admin to know more.",
        "chatId": "={{ $json.chat_id }}",
        "forceReply": {},
        "replyMarkup": "=none",
        "additionalFields": {
          "parse_mode": "HTML",
          "reply_to_message_id": "={{ $json.message_id }}"
        },
        "replyKeyboardRemove": {},
        "replyKeyboardOptions": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "M9h9AMg2S3J0VkNB",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "48a35617-298e-40b1-bed2-4e0903a21e1b",
      "name": "Catégorisation d'Intention",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -848,
        -240
      ],
      "parameters": {
        "text": "={{ $json.original_message }}",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "=You are a content classifier for LinkedIn automation.\n\nAnalyze the input message and classify it into one of these categories:\n\n1. URL - Contains only URLs to scrape\n2. Topic - Contains only topics to search\n3. Content - Contains ready-to-post content\n4. URL+Topic - Contains both URLs and topic\n5. URL+Content - Contains URLs with additional content\n6. Topic+Content - Contains topics with content\n\nAlso extract:\n- All URLs found\n- Topics/keywords identified\n- Any direct content provided\n\nReturn a JSON object with this structure:\n{\n\"input_type\": \"category\",\n\"urls\": [\"url1\", \"url2\"],\n\"topics\": [\"topic1\", \"topic2\"],\n\"content\": \"any direct content\",\n\"processing_instructions\": \"specific instructions for processing\"\n}\n\nAnalyze this message: {{$json.message_text}}"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.7
    },
    {
      "id": "4a124b14-56b6-4621-8b53-8124b953fb8e",
      "name": "Recherche Web pour le contenu associé",
      "type": "@brave/n8n-nodes-brave-search.braveSearch",
      "position": [
        720,
        -144
      ],
      "parameters": {
        "query": "={{ $json.topics.join(' ') }} latest news 2024"
      },
      "credentials": {
        "braveSearchApi": {
          "id": "pIUa3jvWSpNXcddu",
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        "content": "🔍 SMART CONTENT ANALYSIS\n\nUses AI to classify input message:\n- URL: Links to scrape content from\n- Topic: Keywords to search for\n- Content: Ready-to-post text\n- Mixed: Combination of above\n\nExtracts URLs, topics, and processing instructions\nNext: Dynamic routing based on content type"
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        "content": "📄 CONTENT EXTRACTION\n\n- Processes each URL individually\n- Uses Firecrawl to extract article content\n- Handles multiple URLs with batch processing\n- Merges all scraped content with source attribution\n\nExtracts: Article text, metadata, source URLs\nNext: Content synthesis with other sources\n"
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      "position": [
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        "content": "⚙️ MULTI-SOURCE DATA MERGER\n\nCombines all gathered information:\n- Original user message and instructions\n- Scraped web content with sources\n- Search results and trending data\n- Processing metadata and context\n\nCreates comprehensive content brief for AI generation\nNext: LinkedIn post creation"
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      "position": [
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        "content": "✍️ PROFESSIONAL POST CREATION\n\nGoogle Gemini generates LinkedIn-optimized content:\n- Professional tone and structure\n- Mobile-friendly formatting\n- Strategic hashtags and CTAs\n- Source attribution when applicable\n- Character limit compliance (2800 max)\n\nOutput: Complete LinkedIn post with metadata\nNext: User preview and approval"
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      "position": [
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        "content": "👀 INTERACTIVE PREVIEW & APPROVAL\n\nSends formatted preview to Telegram with:\n- Complete post content preview\n- Character count and hashtag analysis\n- Interactive buttons: Approve/Edit/Reject\n- Post analytics and key points summary\n\nUser controls final content before publishing\nNext: Action processing based on user choice"
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        "content": "⚡ USER ACTION HANDLER\n\nProcesses user decisions:\n- APPROVE → Direct LinkedIn publishing\n- EDIT → AI rewriting with user instructions\n- REJECT → Workflow termination with logging\n\nHandles approval workflow and edit iterations\nNext: Final action execution"
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      "position": [
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        "content": "🔧 AI-POWERED CONTENT REFINEMENT\n\nWhen user requests edits:\n- Prompts for specific edit instructions\n- Uses AI to rewrite based on feedback\n- Maintains original intent and sources\n- Shows new version for re-approval\n\nIterative improvement until user satisfaction\nNext: Re-approval or publishing"
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        "content": "📤 LINKEDIN POST PUBLICATION\n\nFinal publishing process:\n- Retrieves approved content from tracking sheet\n- Posts directly to LinkedIn via API\n- Confirms successful publication\n- Updates tracking with post status\n\nOutput: Live LinkedIn post with confirmation"
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