Analyze Microsoft Outlook data with ChatGPT (Require WelsonJS framework)

outlook_ai.js

// Analyze Microsoft Outlook data with ChatGPT
// Require: WelsonJS framework (https://github.com/gnh1201/welsonjs)
// Workflow: Microsoft Outlook -> OpenAI -> Get Response
var Office = require("lib/msoffice");
var LIE = require("lib/language-inference-engine");

function main(args) {
    var prompt_texts = [];

    var keyword = "example.com";
    var maxCount = 10;
    var previewLen = 160;

    console.log("Searching mails by sender OR recipient contains: '" + keyword + "'.");
    console.log("This test uses Restrict (Sender/To/CC/BCC) + Recipients verification.");
    console.log("Body preview length: " + previewLen);

    var outlook = new Office.Outlook();
    outlook.open();
    outlook.selectFolder(Office.Outlook.Folders.Inbox);

    var results = outlook.searchBySenderOrRecipientContains(keyword);
    console.log("Printing search results. (max " + maxCount + ")");

    results.forEach(function (m, i) {
        var body = String(m.getBody() || "");
        var preview = body.replace(/\r/g, "").replace(/\n+/g, " ").substr(0, previewLen);
        
        var text = "#" + String(i) +
            " | From: " + String(m.getSenderEmailAddress()) +
            " | To: " + String(m.mail.To || "") +
            " | Subject: " + String(m.getSubject()) +
            " | Received: " + String(m.getReceivedTime());

        console.log(text);
        console.log("  Body: " + preview);
        
        // Add an email data to the prompt text context
        prompt_texts.push(text);
        
        // The body to reduce token usage and avoid sending overly large/sensitive content.
        var bodyForPrompt = body;
        var maxBodyLengthForPrompt = 2000; // Keep the body snippet short
        if (bodyForPrompt.length > maxBodyLengthForPrompt) {
            bodyForPrompt = bodyForPrompt.substring(0, maxBodyLengthForPrompt) + "...";
        }
        prompt_texts.push("  Body: " + bodyForPrompt);
    }, maxCount);

    outlook.close();

    // build a AI prompt text
    var instruction_text = "This is an email exchange between the buyer and me, and I would appreciate it if you could help me write the most appropriate reply.";
    prompt_texts.push(instruction_text);

    // complete the prompt text
    var prompt_text_completed = prompt_texts.join("\r\n");

    //console.log(prompt_text_completed);  // print all prompt text

    // get a response from AI
    var response_text = LIE.create().setProvider("openai").inference(prompt_text_completed, 0).join(' ');

    console.log(response_text);
}

exports.main = main;