{ "id": "template-id", "name": "Manage employee onboarding and attendance using Telegram and OpenAI", "tags": [], "nodes": [ { "id": "bd1", "name": "Main_Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -2600, 800 ], "parameters": { "color": 1, "width": 386, "height": 516, "content": "### \ud83e\udd16 HR Automated System\n\n#### How it works\n1. **Input:** Receives Telegram messages from employees.\n2. **AI Analysis:** Classifies intent (Attendance, Report, or Registration) using OpenAI.\n3. **Execution:** \n - Logs Check-in/out & calculates penalties for early departure.\n - Registers new employees via chat conversation.\n - Generates salary reports based on attendance history.\n4. **Automation:** Runs a daily scheduled job to report absentees.\n\n#### Setup steps\n1. **Credentials:** Connect your Telegram Bot, OpenAI, and Google Sheets accounts.\n2. **Google Sheet:** Create a sheet with columns: `[Name, ID, Role, Branch, Salary]` and a second tab for `Logs`.\n3. **IDs:** Replace `[YOUR_SPREADSHEET_ID]` in all Sheet nodes.\n4. **Timezone:** Adjust the `Context` in the AI Agent nodes to your local timezone." }, "typeVersion": 1 }, { "id": "bd2", "name": "Section_Input", "type": "n8n-nodes-base.stickyNote", "position": [ -2160, 1040 ], "parameters": { "color": 7, "width": 1900, "height": 560, "content": "## 1. Input & Intent Classification\nReceives messages, maintains chat history, and uses AI to determine if the user is a new employee, recording a transaction, or asking for a report." }, "typeVersion": 1 }, { "id": "bd3", "name": "Section_Onboarding", "type": "n8n-nodes-base.stickyNote", "position": [ 100, -120 ], "parameters": { "color": 7, "width": 2100, "height": 700, "content": "## 2. New Employee Onboarding\nHandles the conversational flow to register new staff. Collects Name, ID, Salary, etc., validates the JSON data, and saves to the database." }, "typeVersion": 1 }, { "id": "bd4", "name": "Section_Transactions", "type": "n8n-nodes-base.stickyNote", "position": [ 400, 640 ], "parameters": { "color": 7, "width": 1700, "height": 950, "content": "## 3. Transaction Logic\nHandles existing employees. Logs Attendance, calculates 'Early Departure' penalties based on work hours, and records Salary Advances." }, "typeVersion": 1 }, { "id": "bd5", "name": "Section_Reports", "type": "n8n-nodes-base.stickyNote", "position": [ 900, 1720 ], "parameters": { "color": 7, "width": 1200, "height": 450, "content": "## 4. Financial Reporting\nFetches employee salary and movement history to calculate net pay (deducting absence/penalties and adding overtime)." }, "typeVersion": 1 }, { "id": "bd6", "name": "Section_Daily", "type": "n8n-nodes-base.stickyNote", "position": [ -2160, 1680 ], "parameters": { "color": 7, "width": 2000, "height": 450, "content": "## 5. Daily Scheduled Jobs\nRuns automatically (e.g., at 1:00 PM) to compare today's logs against the full employee list and report who is absent." }, "typeVersion": 1 }, { "id": "e91f272e-19ae-4903-bc5f-8b012419d324", "name": "Telegram_Trigger", "type": "n8n-nodes-base.telegramTrigger", "position": [ -2112, 1136 ], "parameters": { "updates": [ "message" ], "additionalFields": {} }, "typeVersion": 1.2 }, { "id": "9d8e575c-f625-42c9-a16c-aa53e355cbf5", "name": "Memory_Chat", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ -992, 1424 ], "parameters": { "sessionKey": "chat_history", "sessionIdType": "customKey" }, "typeVersion": 1.3 }, { "id": "343f675f-58ab-409e-b0f6-b965b80c308d", "name": "Msg_Attendance_Success", "type": "n8n-nodes-base.telegram", "position": [ 1968, 1488 ], "parameters": { "text": "=\u2600\ufe0f Good morning, \n{{ $json['\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641'] }} \n\n\u2705 Your attendance has been successfully recorded!\n\u23f0 Arrival Time: \n{{ $json['\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a'] }}\n\nWishing you a productive and successful workday! \ud83d\udcaa\ud83d\ude80", "chatId": "={{ $('Telegram_Trigger').item.json.message.chat.id }}", "additionalFields": { "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "c1c37e47-d9b8-4358-92c5-d62e194fb9c3", "name": "Parse_AI_Response", "type": "n8n-nodes-base.code", "position": [ -624, 1200 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// 1. Safely receive text (whether named output or text)\nconst aiResponse = $json.output || $json.text;\n\n// 2. Safety check: If no data, stop and output a clear error message\nif (!aiResponse) {\n throw new Error(\"Alert: No response received from AI (variable is empty).\");\n}\n\n// 3. Clean text from Markdown tags (```json)\nconst cleanJson = aiResponse.replace(/```json/g, '').replace(/```/g, '').trim();\n\n// 4. Convert text to JSON object and return\nreturn JSON.parse(cleanJson);" }, "typeVersion": 2 }, { "id": "05d87ded-fb5b-499e-95fe-43e0f013a877", "name": "Lookup_Employee", "type": "n8n-nodes-base.googleSheets", "position": [ -80, 1120 ], "parameters": { "options": {}, "filtersUI": { "values": [ { "lookupValue": "={{ $json.identifier }}", "lookupColumn": "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641" }, { "lookupValue": "={{ $json.identifier }}", "lookupColumn": "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641" } ] }, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=0", "cachedResultName": "data" }, "documentId": { "__rl": true, "mode": "list", "value": "[YOUR_SPREADSHEET_ID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]", "cachedResultName": "[YOUR_SHEET_NAME]" }, "combineFilters": "OR" }, "typeVersion": 4.7, "alwaysOutputData": true }, { "id": "8905ab06-d258-404c-b9d3-ee60ef5a29ce", "name": "Log_Transaction", "type": "n8n-nodes-base.googleSheets", "position": [ 1440, 1488 ], "parameters": { "columns": { "value": { "\u0627\u0644\u0642\u064a\u0645\u0647": "={{ $('Parse_AI_Response').item.json.value }}", "\u0645\u0644\u0627\u062d\u0627\u0638\u0627\u062a": "={{ $('Parse_AI_Response').item.json.notes }}", "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641": "={{ $('Lookup_Employee').item.json['\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641'] }}", "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641": "={{ $json['\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641'] }}", "\u0646\u0648\u0639 \u0627\u0644\u062d\u0631\u0643\u0647": "={{ $('Parse_AI_Response').item.json.action }}", "\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a": "={{ $('Parse_AI_Response').item.json.timestamp }}" }, "schema": [ { "id": "\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641", "type": "string", "display": true, "required": false, "displayName": "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0646\u0648\u0639 \u0627\u0644\u062d\u0631\u0643\u0647", "type": "string", "display": true, "required": false, "displayName": "\u0646\u0648\u0639 \u0627\u0644\u062d\u0631\u0643\u0647", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0644\u0642\u064a\u0645\u0647", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0644\u0642\u064a\u0645\u0647", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0645\u0644\u0627\u062d\u0627\u0638\u0627\u062a", "type": "string", "display": true, "required": false, "displayName": "\u0645\u0644\u0627\u062d\u0627\u0638\u0627\u062a", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "[YOUR_LOGS_SHEET_GID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=[YOUR_LOGS_SHEET_GID]", "cachedResultName": "\u0633\u062c\u0644 \u0627\u0644\u062d\u0631\u0643\u0627\u062a" }, "documentId": { "__rl": true, "mode": "list", "value": "[YOUR_SPREADSHEET_ID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]", "cachedResultName": "[YOUR_SHEET_NAME]" } }, "typeVersion": 4.7 }, { "id": "922eae56-0829-4191-9998-6887c5c85a85", "name": "Check_Employee_Found", "type": "n8n-nodes-base.if", "position": [ 144, 1120 ], "parameters": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "6d680a3d-c8ba-40b7-913e-02962e7fb6dd", "operator": { "type": "number", "operation": "notEmpty", "singleValue": true }, "leftValue": "={{ $json['\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641'] }}", "rightValue": 0 } ] } }, "typeVersion": 2.3 }, { "id": "c15a466a-1e19-427a-9e66-013a45a139de", "name": "Msg_Employee_Not_Found", "type": "n8n-nodes-base.telegram", "position": [ 320, 1200 ], "parameters": { "text": "=Sorry, this code ({{ $('Route_Intent').item.json.identifier }}) is not registered in our system! \ud83e\udd14\n\nIf this is a new employee, reply with \"Yes\" to add them.\nIf there's a mistake, please double-check the code and try again.\n\nFor assistance, contact KHALED YASSER \ud83d\udcde", "chatId": "={{ $('Telegram_Trigger').item.json.message.chat.id }}", "additionalFields": { "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "1007f64f-4269-4558-9cee-a7cf6d57050c", "name": "Route_Intent", "type": "n8n-nodes-base.switch", "onError": "continueRegularOutput", "position": [ -400, 1200 ], "parameters": { "rules": { "values": [ { "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "cd801203-7ecb-44fd-b60d-ff5f076e609e", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.intent }}", "rightValue": "record" } ] } }, { "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "295bdf3d-531b-46c9-9592-bca673a1d0a4", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.intent }}", "rightValue": "report" } ] } } ] }, "options": {} }, "typeVersion": 3.4 }, { "id": "cd13e552-f0bb-4097-96c6-431cefc5f086", "name": "Memory_Analyst", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 1696, 2080 ], "parameters": { "sessionKey": "chat_history", "sessionIdType": "customKey" }, "typeVersion": 1.3 }, { "id": "bcc064a5-7e14-40cb-8948-1a03785c1c53", "name": "Msg_Analysis_Report", "type": "n8n-nodes-base.telegram", "position": [ 1984, 1808 ], "parameters": { "text": "={{ $json.output }}", "chatId": "={{ $('Telegram_Trigger').item.json.message.chat.id }}", "additionalFields": { "parse_mode": "HTML", "appendAttribution": false } }, "executeOnce": true, "typeVersion": 1.2 }, { "id": "930fd357-49f1-49f4-b70a-d46360b31b95", "name": "Agent_Classifier", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueRegularOutput", "position": [ -1120, 1184 ], "parameters": { "text": "={{ $json.message.text }}", "options": { "systemMessage": "==# Role: HR Data Extractor & Router\n# Objective: Analyze the user's message to determine the intent (Recording Transaction OR Requesting Report) and extract relevant data strictly as JSON.\n\n# Context:\nThe exact current date and time in Africa/Cairo is: ={{ $now.setZone('Africa/Cairo').toFormat('yyyy-MM-dd hh:mm:ss a') }}\n\n# Instructions:\nAnalyze the user's message (English or Arabic) and output a JSON object with these exact fields:\n\n1. \"intent\": Determine the user's goal. MUST be one of:\n - \"record\": If user wants to log attendance, absence, money, etc. (e.g., \"\u062d\u0636\u0648\u0631 1001\", \"Advance 500\").\n - \"report\": If user asks for info or summary (e.g., \"Report for Fatima\", \"How many days was Mohamed absent?\").\n\n2. \"action\": \n - If intent is \"record\": Extract the action type EXACTLY as one of these Arabic terms to match the database: (\u062d\u0636\u0648\u0631, \u0627\u0646\u0635\u0631\u0627\u0641, \u063a\u064a\u0627\u0628, \u0646\u0635 \u064a\u0648\u0645, \u0633\u0644\u0641, \u0627\u0636\u0627\u0641\u064a, \u0627\u062c\u0627\u0632\u0647).\n - If intent is \"report\": Output \"report\".\n\n3. \"identifier\": The Employee ID or Name mentioned.\n4. \"value\": Amount or hours (if applicable), otherwise null.\n5. \"notes\": Any extra details.\n6. \"timestamp\": Current time from Context.\n\n# Output Format:\nYou MUST output ONLY a valid JSON object. Do NOT wrap in markdown blocks.\n\n# Example 1 (Recording):\nUser: \"Clock-in 1001\"\nOutput: { \"intent\": \"record\", \"action\": \"\u062d\u0636\u0648\u0631\", \"identifier\": \"1001\", \"value\": null, \"notes\": \"\", \"timestamp\": \"...\" }\n\n# Example 2 (Reporting):\nUser: \"Report for Fatima Rouge\"\nOutput: { \"intent\": \"report\", \"action\": \"report\", \"identifier\": \"Fatima Rouge\", \"value\": null, \"notes\": \"\", \"timestamp\": \"...\" }" }, "promptType": "define" }, "typeVersion": 3.1 }, { "id": "51a67c9b-73e9-44ac-9c77-bdbf56ee9aff", "name": "Agent_Financial", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueRegularOutput", "position": [ 1552, 1808 ], "parameters": { "text": "=Employee Basic Salary: {{ $('Fetch_Salary').item.json['\u0627\u0644\u0631\u0627\u062a\u0628 \u0627\u0644\u0627\u0633\u0627\u0633\u064a'] }}\nMovements Log: {{ JSON.stringify($input.all().map(item => item.json)) }}", "options": { "systemMessage": "=Role: Professional HR Financial Analyst (XQ Pharma)\nObjective: Calculate the Net Salary strictly following the company's rules.\n\n# Input Data:\n1. Basic Salary.\n2. Movement Logs (Absence, Overtime, Advances, Departures, etc.).\n\n# Financial Rules (As per company policy):\n- Day Value = (Basic Salary / 30).\n- \"\u063a\u064a\u0627\u0628\" (Absence): Deduct 1 full Day Value (-1.0).\n- \"\u0627\u0636\u0627\u0641\u064a\" (Overtime): Add 1 full Day Value (+1.0).\n- \"\u0633\u0644\u0641\" (Advances): Deduct the exact amount provided in the \"value\" field.\n- \"\u0627\u0646\u0635\u0631\u0627\u0641\" (Departure): If marked as \"Early Departure\" or \"Penalty\", deduct 0.25 of a Day Value.\n- \"\u0627\u062c\u0627\u0632\u0647\" (Leaves): No deduction (Sick, Annual, Official holidays are paid).\n\n# Calculation Logic:\n- Calculate Total Deductions (Absence + Advances + Early Departure Penalties).\n- Calculate Total Additions (Overtime).\n- Net Salary = Basic Salary + Additions - Deductions.\n\n# Final Report (English):\nFinancial Report for Employee: [Name] (ID: [ID])\n--------------------------------------------------\n\ud83d\udcb0 Basic Salary: [Salary] EGP\n\ud83d\udcca Day Value: [Day Value] EGP\n\n\ud83d\udd3b Deductions:\n- Absence ([X] days): -[Value] EGP\n- Advances: -[Value] EGP\n- Early Departure Penalties: -[Value] EGP\n\n\u2705 Additions & Dues:\n- Overtime ([X] days): +[Value] EGP\n\n\ud83d\udcb5 Net Salary Due: [Net Salary] EGP\n--------------------------------------------------\nBest regards,\nKHALED YASSER" }, "promptType": "define" }, "retryOnFail": true, "typeVersion": 3.1 }, { "id": "28d59d05-42ae-4325-aa42-edfda12a4da3", "name": "Msg_Ask_New_Emp_Data", "type": "n8n-nodes-base.telegram", "position": [ 208, -64 ], "parameters": { "text": "=\ud83c\udf89 Welcome to the XQ Pharma team! \ud83e\udd1d\n\nTo successfully register your details in the company's system, please send the following information in a single line, separated by dashes (-):\n\n(Code - Name - Position - Branch - Salary) \ud83d\udcdd\n\n\ud83d\udca1 Example:\n1005 - Mohamed Ahmed - Sales - Maadi - 6000\n\nAwaiting your details so we can get started! \ud83d\ude80\u2728", "chatId": "={{ $('Telegram_Trigger').item.json.message.chat.id }}", "additionalFields": { "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "83bce609-761a-46e0-9d87-dd17fdec2e1e", "name": "Memory_Onboarding", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 992, 528 ], "parameters": { "sessionKey": "chat_history", "sessionIdType": "customKey" }, "typeVersion": 1.3 }, { "id": "7d49dd78-9d34-40cb-b865-dab0bb81e9bf", "name": "Agent_Onboarding", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 928, 288 ], "parameters": { "text": "={{ $('Telegram_Trigger').item.json.message.text }}", "options": { "systemMessage": "Role: Professional HR Assistant\nObjective: Capture new employee details and register them.\n\nCRITICAL LOGIC:\n\nIf the user says \"Yes\" without providing details:\n\nDO NOT use the registration tool/node.\n\nDO NOT output any JSON or structured data.\n\nReply ONLY with the \"Mandatory Response Format\" below.\n\nIf and only if the message contains real data (like a name and a code):\n\nExtract the data and proceed to register the employee using the tool.\n\nMandatory Response Format for \"Yes\" or missing data:\n\"Great! To register the employee, please send the following details in a single message in this order: (Employee Code - Name - Position - Branch - Salary)\"\n\nMandatory Closing:\nBest regards,\nKHALED YASSER" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 3.1 }, { "id": "08e69c55-7eca-445e-9cc5-b48d926930cb", "name": "Validate_New_Emp_JSON", "type": "n8n-nodes-base.code", "position": [ 1280, 288 ], "parameters": { "jsCode": "// 1. Receive output from the Agent\nconst rawOutput = $input.all()[0].json.output;\n\ntry {\n // 2. Search for JSON (employee data) inside the text\n const jsonMatch = rawOutput.match(/\\{[\\s\\S]*\\}/);\n\n if (jsonMatch) {\n // If data is found, parse it and pass it through\n const cleanJson = JSON.parse(jsonMatch[0]);\n return [{ json: { ...cleanJson, is_valid: true } }];\n } else {\n // If it's a regular message, send false to close the route smoothly\n return [{ json: { is_valid: false } }];\n }\n} catch (e) {\n // In case of any error, close the route without stopping the workflow\n return [{ json: { is_valid: false } }];\n}" }, "typeVersion": 2 }, { "id": "4ebe2121-1ad1-47bd-b187-c625871218ea", "name": "Register_New_Emp", "type": "n8n-nodes-base.googleSheets", "position": [ 1744, 288 ], "parameters": { "columns": { "value": { "\u0627\u0644\u0641\u0631\u0639": "={{ $json.branch }}", "\u0627\u0644\u0648\u0638\u064a\u0641\u0647": "={{ $json.position }}", "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641": "={{ $json.name }}", "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641": "={{ $json.code }}", "\u0627\u0644\u0631\u0627\u062a\u0628 \u0627\u0644\u0627\u0633\u0627\u0633\u064a": "={{ $json.salary }}" }, "schema": [ { "id": "\u0645", "type": "string", "display": true, "required": false, "displayName": "\u0645", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641", "type": "string", "display": true, "required": false, "displayName": "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0644\u0648\u0638\u064a\u0641\u0647", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0644\u0648\u0638\u064a\u0641\u0647", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0644\u0641\u0631\u0639", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0644\u0641\u0631\u0639", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0644\u0631\u0627\u062a\u0628 \u0627\u0644\u0627\u0633\u0627\u0633\u064a", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0644\u0631\u0627\u062a\u0628 \u0627\u0644\u0627\u0633\u0627\u0633\u064a", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "\u0627\u0644\u062d\u0627\u0644\u0647", "type": "string", "display": true, "required": false, "displayName": "\u0627\u0644\u062d\u0627\u0644\u0647", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": 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"value": "[YOUR_LOGS_SHEET_GID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=[YOUR_LOGS_SHEET_GID]", "cachedResultName": "\u0633\u062c\u0644 \u0627\u0644\u062d\u0631\u0643\u0627\u062a" }, "documentId": { "__rl": true, "mode": "list", "value": "[YOUR_SPREADSHEET_ID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]", "cachedResultName": "[YOUR_SHEET_NAME]" } }, "typeVersion": 4.7 }, { "id": "3d60b776-91ee-4568-9c23-3c12a65a7c5d", "name": "Msg_Departure_Success", "type": "n8n-nodes-base.telegram", "position": [ 1984, 784 ], "parameters": { "text": "=\ud83d\udc4b Great job, \n{{ $json['\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641'] }}!\n\n\u2705 Your clock-out has been recorded.\n\u23f1\ufe0f Hours worked:\n{{ $('Calc_Departure_Stats').item.json.hours_worked }}\n\ud83d\udcdd Note:\n{{ $('Calc_Departure_Stats').item.json.notes }}\n\nRest up and recharge for tomorrow. Have a good night! \ud83c\udfe0\u2728", "chatId": "={{ $('Telegram_Trigger').item.json.message.chat.id }}", "additionalFields": { "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "1537466e-940c-4788-8966-c0019d116a38", "name": "Msg_Advance_Success", "type": "n8n-nodes-base.telegram", "position": [ 1968, 1104 ], "parameters": { "text": "=\ud83d\udcb8 Financial Notice: {{ $json['\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641'] }}\n\nYour \"Advance\" request has been successfully recorded \u2705\n\ud83d\udcb0 Amount: {{ $json['\u0627\u0644\u0642\u064a\u0645\u0647'] }} EGP\n\ud83d\udcc5 Date: {{ $json['\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a'] }}\n\nThis will be reviewed and deducted from the current month's salary. Best of luck! \ud83d\udcbc\u2728", "chatId": "={{ $('Telegram_Trigger').item.json.message.chat.id }}", "additionalFields": { "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "a5721408-c091-4591-95f4-d5a2c421ed78", "name": "Log_Advance", "type": "n8n-nodes-base.googleSheets", "position": [ 1424, 1104 ], "parameters": { "columns": { "value": { "\u0627\u0644\u0642\u064a\u0645\u0647": "={{ $('Parse_AI_Response').item.json.value }}", "\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641": "={{ $('Lookup_Employee').item.json['\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641'] }}", "\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641": "={{ $('Lookup_Employee').item.json['\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641'] }}", "\u0646\u0648\u0639 \u0627\u0644\u062d\u0631\u0643\u0647": "={{ $('Parse_AI_Response').item.json.action }}", "\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a": "={{ 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\u0627\u0644\u062d\u0631\u0643\u0627\u062a" }, "documentId": { "__rl": true, "mode": "list", "value": "[YOUR_SPREADSHEET_ID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]", "cachedResultName": "[YOUR_SHEET_NAME]" } }, "typeVersion": 4.7 }, { "id": "bfce569a-1307-44b8-b0ec-bd011b2392c4", "name": "Daily_Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -2080, 1904 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 13 } ] } }, "typeVersion": 1.3 }, { "id": "5409f06a-f95d-43c7-830e-239ffb8ccf05", "name": "Filter_Today_Attendance", "type": "n8n-nodes-base.filter", "position": [ -1200, 1760 ], "parameters": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "ea3a8847-35b5-4ecb-9e56-6fd741145e5f", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $json['\u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a'] }}", "rightValue": "={{ $now.format('yyyy-MM-dd') }}" } ] } }, "typeVersion": 2.3 }, { "id": "2f455047-b858-44b8-89e2-a2f41d3200dc", "name": "Fetch_All_Employees", "type": "n8n-nodes-base.googleSheets", "position": [ -1424, 2048 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=0", "cachedResultName": "data" }, "documentId": { "__rl": true, "mode": "list", "value": "[YOUR_SPREADSHEET_ID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]", "cachedResultName": "[YOUR_SHEET_NAME]" } }, "typeVersion": 4.7 }, { "id": "2191b104-2953-41ee-ade4-9de610e35ad2", "name": "Fetch_Today_Logs", "type": "n8n-nodes-base.googleSheets", "position": [ -1552, 1744 ], "parameters": { "options": {}, "filtersUI": { "values": [ { "lookupValue": "\u062d\u0636\u0648\u0631", "lookupColumn": "\u0646\u0648\u0639 \u0627\u0644\u062d\u0631\u0643\u0647" } ] }, "sheetName": { "__rl": true, "mode": "list", "value": "[YOUR_LOGS_SHEET_GID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=[YOUR_LOGS_SHEET_GID]", "cachedResultName": "\u0633\u062c\u0644 \u0627\u0644\u062d\u0631\u0643\u0627\u062a" }, "documentId": { "__rl": true, "mode": "list", "value": "[YOUR_SPREADSHEET_ID]", "cachedResultUrl": "[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]", "cachedResultName": "[YOUR_SHEET_NAME]" } }, "typeVersion": 4.7 }, { "id": "c0a98dc7-a160-408c-abd5-b9ce5732284a", "name": "Calc_Absentees", "type": "n8n-nodes-base.code", "position": [ -496, 1904 ], "parameters": { "jsCode": "const allEmployees = $items(\"Fetch_All_Employees\"); // Must exactly match node name \"Fetch_All_Employees\"\nconst todayAttendance = $items(\"Filter_Today_Attendance\"); // Must exactly match node name \"Filter_Today_Attendance\"\n\nconst attendedIds = todayAttendance.map(item => item.json[\"\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641\"]);\nconst absentees = allEmployees.filter(emp => !attendedIds.includes(emp.json[\"\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641\"]));\n\nreturn absentees;" }, "typeVersion": 2 }, { "id": "05f58671-0c85-411a-b898-4296df21eed8", "name": "Msg_Absentee_Report", "type": "n8n-nodes-base.telegram", "position": [ -176, 1904 ], "parameters": { "text": "=\ud83d\udcca Daily Absence Report (1:00 PM) \ud83d\udcca\n-----------------------------------\n\ud83d\udccd Total Employees: {{ $items(\"Fetch_All_Employees\").length }}\n\u2705 Attendees: {{ new Set($items(\"Filter_Today_Attendance\").map(i => i.json[\"\u0643\u0648\u062f \u0627\u0644\u0645\u0648\u0638\u0641\"])).size }}\n\u274c Absentees: {{ $input.all().length }}\n-----------------------------------\n\u26a0\ufe0f List of Late/Absent Employees:\n{{ $input.all().map(item => \"\u2022 \" + item.json[\"\u0627\u0633\u0645 \u0627\u0644\u0645\u0648\u0638\u0641\"]).join('\\n') }}\n\nPlease follow up with them to ensure workflow continuity! \ud83d\ude80\u2728", "chatId": "=[ADMIN_CHAT_ID]", "additionalFields": { "parse_mode": "HTML", "appendAttribution": false } }, "executeOnce": true, "typeVersion": 1.2 }, { "id": "2a47083b-fddf-4034-baaf-6489650aed3a", "name": "Merge_Lists", "type": "n8n-nodes-base.merge", "position": [ -784, 1904 ], "parameters": { "mode": "combine", "options": {}, "combineBy": "combineByPosition" }, "typeVersion": 3.2 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "template-version", "connections": { "Log_Advance": { "main": [ [ { "node": "Msg_Advance_Success", "type": "main", "index": 0 } ] ] }, "Memory_Chat": { "ai_memory": [ [ { "node": "Agent_Classifier", "type": "ai_memory", "index": 0 } ] ] }, "Merge_Lists": { "main": [ [ { "node": "Calc_Absentees", "type": "main", "index": 0 } ] ] }, "Fetch_Salary": { "main": [ [ { "node": "Fetch_Movement_History", "type": "main", "index": 0 } ] ] }, "Model_Gemini": { "ai_languageModel": [ [] ] }, "Route_Intent": { "main": [ [ { "node": "Lookup_Employee", "type": "main", "index": 0 } ], [ { "node": "Fetch_Salary", "type": "main", "index": 0 } ] ] }, "Daily_Trigger": { "main": [ [ { "node": "Fetch_Today_Logs", "type": "main", "index": 0 }, { "node": "Fetch_All_Employees", "type": "main", "index": 0 } ] ] }, "Log_Departure": { "main": [ [ { "node": "Msg_Departure_Success", "type": "main", "index": 0 } ] ] }, "Model_Analyst": { "ai_languageModel": [ [ { "node": "Agent_Financial", "type": "ai_languageModel", "index": 0 } ] ] }, "Calc_Absentees": { "main": [ [ { "node": "Msg_Absentee_Report", "type": "main", "index": 0 } ] ] }, "Memory_Analyst": { "ai_memory": [ [ { "node": "Agent_Financial", "type": "ai_memory", "index": 0 } ] ] }, "Agent_Financial": { "main": [ [ { "node": "Msg_Analysis_Report", "type": "main", "index": 0 } ] ] }, "Log_Transaction": { "main": [ [ { "node": "Msg_Attendance_Success", "type": "main", "index": 0 } ] ] }, "Lookup_Employee": { "main": [ [ { "node": "Check_Employee_Found", "type": "main", "index": 0 } ] ] }, "Agent_Classifier": { "main": [ [ { "node": "Parse_AI_Response", "type": "main", "index": 0 } ] ] }, "Agent_Onboarding": { "main": [ [ { "node": "Validate_New_Emp_JSON", "type": "main", "index": 0 } ] ] }, "Fetch_Today_Logs": { "main": [ [ { "node": "Filter_Today_Attendance", "type": "main", "index": 0 } ] ] }, "Get_Arrival_Time": { "main": [ [ { "node": "Calc_Departure_Stats", "type": "main", "index": 0 } ] ] }, "Model_Classifier": { "ai_languageModel": [ [ { "node": "Agent_Classifier", "type": "ai_languageModel", "index": 0 } ] ] }, "Model_Onboarding": { "ai_languageModel": [ [ { "node": "Agent_Onboarding", "type": "ai_languageModel", "index": 0 } ] ] }, "Register_New_Emp": { "main": [ [ { "node": "Msg_Registration_Success", "type": "main", "index": 0 } ] ] }, "Telegram_Trigger": { "main": [ [ { "node": "Route_New_vs_Existing", "type": "main", "index": 0 } ] ] }, "Filter_Valid_Data": { "main": [ [ { "node": "Register_New_Emp", "type": "main", "index": 0 } ] ] }, "Memory_Onboarding": { "ai_memory": [ [ { "node": "Agent_Onboarding", "type": "ai_memory", "index": 0 } ] ] }, "Parse_AI_Response": { "main": [ [ { "node": "Route_Intent", "type": "main", "index": 0 } ] ] }, "Route_Action_Type": { "main": [ [ { "node": "Get_Arrival_Time", "type": "main", "index": 0 } ], [ { "node": "Log_Advance", "type": "main", "index": 0 } ], [ { "node": "Log_Transaction", "type": "main", "index": 0 } ] ] }, "Fetch_All_Employees": { "main": [ [ { "node": "Merge_Lists", "type": "main", "index": 1 } ] ] }, "Calc_Departure_Stats": { "main": [ [ { "node": "Log_Departure", "type": "main", "index": 0 } ] ] }, "Check_Employee_Found": { "main": [ [ { "node": "Route_Action_Type", "type": "main", "index": 0 } ], [ { "node": "Msg_Employee_Not_Found", "type": "main", "index": 0 } ] ] }, "Msg_Ask_New_Emp_Data": { "main": [ [ { "node": "Agent_Onboarding", "type": "main", "index": 0 } ] ] }, "Route_New_vs_Existing": { "main": [ [ { "node": "Msg_Ask_New_Emp_Data", "type": "main", "index": 0 } ], [ { "node": "Agent_Onboarding", "type": "main", "index": 0 } ], [ { "node": "Agent_Classifier", "type": "main", "index": 0 } ] ] }, "Validate_New_Emp_JSON": { "main": [ [ { "node": "Filter_Valid_Data", "type": "main", "index": 0 } ] ] }, "Fetch_Movement_History": { "main": [ [ { "node": "Agent_Financial", "type": "main", "index": 0 } ] ] }, "Filter_Today_Attendance": { "main": [ [ { "node": "Merge_Lists", "type": "main", "index": 0 } ] ] } } }