{"id":262,"date":"2025-10-21T22:02:45","date_gmt":"2025-10-21T20:02:45","guid":{"rendered":"https:\/\/www.genexio.net\/blog\/?p=262"},"modified":"2025-10-21T22:10:39","modified_gmt":"2025-10-21T20:10:39","slug":"automating-attendance-reports-from-rfid-time-clock-to-filemaker-node-red-ai-and-email","status":"publish","type":"post","link":"https:\/\/www.genexio.net\/blog\/2025\/10\/21\/automating-attendance-reports-from-rfid-time-clock-to-filemaker-node-red-ai-and-email\/","title":{"rendered":"Automating Attendance Reports: from RFID Time Clock to FileMaker, Node-RED, AI and Email"},"content":{"rendered":"\n

This project builds on our in-house RFID time clock<\/strong>: we previously implemented a Raspberry Pi<\/strong> system that captures time stamps via RFID modules<\/strong> (badges) and pushes them to our back office. We have now completed the pipeline: starting from FileMaker<\/strong> data, we generate an HTML report<\/strong> with updated hours, highlight exceptions<\/em> (late entries, early exits, missing stamps), ask the AI<\/strong> for a short commentary<\/em>, and send the whole package via email<\/strong>.<\/p>\n\n\n\n

\n\n\n\n

TL;DR<\/h4>\n\n\n\n
    \n
  • Attendance collection with Raspberry Pi + RFID<\/strong>, consolidation in FileMaker<\/strong>.<\/li>\n\n\n\n
  • Data extraction via OData<\/strong> from FileMaker Server<\/em>.<\/li>\n\n\n\n
  • (Optional) Trigger a FileMaker Script<\/strong> from Node-RED<\/strong>.<\/li>\n\n\n\n
  • Generate HTML<\/strong> (daily + monthly) and highlights<\/strong>.<\/li>\n\n\n\n
  • Request an AI comment<\/strong> via API (ChatGPT) and email<\/strong> the final report.<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    Architecture at a glance<\/h4>\n\n\n\n
    [Raspberry + RFID] \u2192 [FileMaker] \u2192 (OData) \u2192 [Node-RED] \u2192 [OpenAI API] \u2192 [Email HTML]\n          \u2191                               \u2198 (FileMaker Script on-demand)\n<\/pre>\n\n\n\n
    \n\n\n\n
    How it works<\/h4>\n\n\n\n
    1) Data from FileMaker<\/h4>\n\n\n\n
    Node-RED queries the current month<\/em> hours and today\u2019s stamps<\/em> via OData. We normalize dates\/times, compute per-user minutes and monthly totals<\/strong>.<\/p>\n\n\n\n
    2) FileMaker Script from Node-RED (optional)<\/h4>\n\n\n\n
    Before generating the report, we can ask FileMaker to run a script<\/strong> (e.g. consolidation or recalculation) through a simple HTTP call from the flow.<\/p>\n\n\n\n
    3) HTML report with tables and highlights<\/h4>\n\n\n\n
      \n
    • Hours worked today<\/strong> (user \u2192 HH:MM).<\/li>\n\n\n\n
    • Highlights<\/strong>: morning late entries, exits before noon or between 15:00\u201317:30, missing check-ins (if a roster is provided).<\/li>\n\n\n\n
    • Monthly recap<\/strong> (days \u00d7 users) with totals<\/strong>.<\/li>\n<\/ul>\n\n\n\n
      4) AI comment (ChatGPT via API)<\/h4>\n\n\n\n
      The flow sends either a compact JSON<\/strong> payload (date, hours, highlights, totals) or the report HTML. The AI returns a short Italian commentary<\/strong> in a neutral\/professional tone, summarizing the day and the monthly trend.<\/p>\n\n\n\n
      5) Email delivery<\/h4>\n\n\n\n
      We merge the report HTML with an \u201cAI Comment\u201d<\/em> block and send it via SMTP (Gmail\/Workspace) with a dated subject line<\/strong>. A fallback<\/em> guarantees the base report is sent even if the AI is unavailable.<\/p>\n\n\n\n
      \n\n\n\n
      Why it matters<\/h4>\n\n\n\n
        \n
      • Time saver<\/strong>: no manual end-of-day notes.<\/li>\n\n\n\n
      • Clarity<\/strong>: exceptions are highlighted in a non-judgmental way.<\/li>\n\n\n\n
      • Scalable<\/strong>: same pipeline for multiple teams\/sites.<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n
        Security & best practices<\/h4>\n\n\n\n
          \n
        • API keys stored in HTTP node credentials (not in code).<\/li>\n\n\n\n
        • Gmail via App Passwords<\/strong> and 2FA (or OAuth2).<\/li>\n\n\n\n
        • Certificates: self-signed OK on LAN; plan a valid cert later.<\/li>\n\n\n\n
        • Separate test branch<\/strong> for AI before wiring the official email.<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n
          Outcome<\/h4>\n\n\n\n
          Every evening we receive an HTML email<\/strong> with daily hours<\/em>, highlights<\/em>, a monthly table<\/em>, and a concise AI comment<\/strong> summarizing the situation.<\/p>\n\n\n\n
          Next steps<\/h4>\n\n\n\n
            \n
          • Selectable comment tone (formal\/friendly\/concise).<\/li>\n\n\n\n
          • Optional CSV\/Excel attachment.<\/li>\n\n\n\n
          • Real-time web dashboard with Node-RED.<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n
            Example output (October 21, 2025)<\/h4>\n\n\n\n
            Hours worked today (21\/10\/2025)<\/h4>\n\n\n\n
            User<\/th>Hours<\/th><\/tr><\/thead>
            Alex Marino<\/td>08:00<\/td><\/tr>
            Brian Reed<\/td>08:30<\/td><\/tr>
            Michael Reed<\/td>08:30<\/td><\/tr>
            Patrick Fumani<\/td>09:00<\/td><\/tr>
            Peter Cole<\/td>00:00<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
            Highlights (today)<\/h4>\n\n\n\n
              \n
            • Andrew Reed did not check in for the afternoon.<\/li>\n\n\n\n
            • Maurice Reed checked in at 13:45.<\/li>\n\n\n\n
            • Maurice Reed checked out at 09:13.<\/li>\n\n\n\n
            • Peter Cole did not check in for the morning.<\/li>\n\n\n\n
            • Peter Cole did not check in for the afternoon.<\/li>\n<\/ul>\n\n\n\n
              Monthly recap (10\/2025)<\/h4>\n\n\n\n
              Day<\/th>Alex Marino<\/th>Brian Reed<\/th>Michael Reed<\/th>Patrick Fumani<\/th>Peter Cole<\/th><\/tr><\/thead>
              01<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              02<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              03<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              04<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              05<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              06<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              07<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>05:00<\/td><\/tr>
              08<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              09<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              10<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              11<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              12<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              13<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              14<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:30<\/td>09:00<\/td><\/tr>
              15<\/td>08:00<\/td>08:30<\/td>08:30<\/td>08:30<\/td>09:00<\/td><\/tr>
              16<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              17<\/td>08:00<\/td>06:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              18<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              19<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              20<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td>09:00<\/td><\/tr>
              21<\/td>08:00<\/td>08:30<\/td>08:30<\/td>09:00<\/td><\/td><\/tr>
              22<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              23<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              24<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              25<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              26<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              27<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              28<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              29<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              30<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
              31<\/td><\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody>
              Monthly total<\/td>120:00<\/td>125:30<\/td>127:30<\/td>135:00<\/td>122:00<\/td><\/tr><\/tfoot><\/table><\/figure>\n\n\n\n
              AI comment<\/h4>\n\n\n\n
              The report for October 21, 2025 shows hours recorded by each team member\u2014Alex Marino at 8:00, Brian and Michael Reed at 8:30, and Patrick Fumani at 9:00. A few exceptions stand out: Andrew Reed did not check in for the afternoon, while Maurice Reed registered a late check-in at 13:45 and an early check-out at 09:13. Peter Cole missed both the morning and afternoon check-ins. These items should be reviewed to ensure accurate attendance tracking.<\/p>\n\n\n\n
              \n\n\n\n
              Why this matters<\/h4>\n\n\n\n
                \n
              • Time saver:<\/strong> no manual notes at the end of the day.<\/li>\n\n\n\n
              • Clarity:<\/strong> highlights are surfaced in a neutral, factual way.<\/li>\n\n\n\n
              • Scalable:<\/strong> same pipeline for multiple teams\/sites.<\/li>\n<\/ul>\n\n\n\n
                What\u2019s under the hood<\/h4>\n\n\n\n
                FileMaker (OData) \u2192 Node-RED (HTML generation + AI prompt) \u2192 OpenAI API \u2192 SMTP (Gmail\/Workspace). We keep API keys in node credentials, use App Passwords for Gmail (2FA), and validate the AI branch in test before wiring the official email.<\/p>\n\n\n\n
                <\/p>\n","protected":false},"excerpt":{"rendered":"
                This project builds on our in-house RFID time clock: we previously implemented a Raspberry Pi system that captures time stamps via RFID modules (badges) and […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,15,11],"tags":[],"class_list":["post-262","post","type-post","status-publish","format-standard","hentry","category-filemaker","category-node-red","category-raspberry"],"yoast_head":"\nAutomating Attendance Reports: from RFID Time Clock to FileMaker, Node-RED, AI and Email - My blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.genexio.net\/blog\/2025\/10\/21\/automating-attendance-reports-from-rfid-time-clock-to-filemaker-node-red-ai-and-email\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Automating Attendance Reports: from RFID Time Clock to FileMaker, Node-RED, AI and Email - 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