moodle-helper/moodle-to-llm.js at master · Zotyamester/moodle-helper · GitHub

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// This script works in the browser console of a quiz page inside Moodle.
// The problem is that, by default, the CORS policy blocks the request to the API,
// so that needs to be solved first.
//
// Don't forget to replace the API_KEY_HERE placeholders with your actual API keys.

async function fetchFromOpenRouter(prompt) {
  const API_KEY = "YOUR_KEY_HERE";

  const response = await fetch(
    "https://openrouter.ai/api/v1/chat/completions",
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${API_KEY}`,
        "HTTP-Referer": `${window.location.origin}`, // Optional. Site URL for rankings on openrouter.ai.
        "X-Title": "Moodler Helper", // Optional. Site title for rankings on openrouter.ai.
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        model: "openai/gpt-4o",
        // response_format: {
        //   type: "json_schema",
        //   json_schema: {
        //     name: "answers",
        //     strict: true,
        //     schema: {
        //       type: "object",
        //       properties: {
        //         items: {
        //           type: "array",
        //           items: {
        //             type: "object",
        //             properties: {
        //               id: { type: "string" },
        //               answer: {
        //                 type: "object",
        //                 properties: {
        //                   answerNumber: { type: "string" },
        //                   textAnswer: { type: "string" },
        //                   subquestions: {
        //                     type: "array",
        //                     items: {
        //                       type: "object",
        //                       properties: {
        //                         id: { type: "string" },
        //                       },
        //                       required: ["id"],
        //                       additionalProperties: false,
        //                     },
        //                   },
        //                 },
        //                 additionalProperties: false,
        //               },
        //             },
        //             required: ["id", "answer"],
        //             additionalProperties: false,
        //           },
        //         },
        //       },
        //       required: ["items"],
        //       additionalProperties: false,
        //     },
        //   },
        // },
        messages: [
          {
            role: "user",
            content: prompt,
          },
        ],
        max_tokens: 3946,
      }),
    }
  );
  if (!response.ok) {
    throw new Error(`Response status: ${response.status}`);
  }

  const json = await response.json();
  return json;
}

const questions = $(".que")
  .map(function (_, que) {
    const id = $(".qno", que).text();
    const question = {};

    const text = $(".qtext", que).text().trim();
    if (text.length > 0) question.text = text;

    const options = $(".ablock > .answer", que)
      .children()
      .map(function (_, option) {
        const answerNumberElement = $(".answernumber", option);
        const answerNumber = answerNumberElement.text().trim();
        const text = answerNumberElement.next().text().trim();
        return { answerNumber, text };
      })
      .get();
    if (options.length > 0) question.options = options;

    const subquestions = $(".subquestion", que)
      .map(function (_, subquestion) {
        const text = $(subquestion)
          .parent()
          .contents()
          .filter(function () {
            return this.nodeType === 3; // Node.TEXT_NODE
          })
          .text();

        const options = $("select > option", subquestion)
          .map(function (_, option) {
            const id = $(option).attr("value").trim();
            const text = $(option).text().trim();
            return { id, text };
          })
          .get();

        return { text, options };
      })
      .get();
    if (subquestions.length > 0) question.subquestions = subquestions;

    return {
      id,
      question,
    };
  })
  .get();

const jsonAsText = JSON.stringify(questions);
const llmPrompt = `Answer the questions inside the JSON object: ${jsonAsText}`;
console.log(llmPrompt);
const openRouterAnswer = await fetchFromOpenRouter(llmPrompt);
console.log(openRouterAnswer);