Validate Markdown Generation

Oct 13, 2025 by magicalceylontours.com 94 views

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Introduction

The src/enrich.js script plays a crucial role in generating Markdown files for the website data. However, its current structure and maintainability are suboptimal. This issue aims to refactor enrich.js to ensure it correctly generates Markdown files, improves its structure, and enhances its maintainability.

Goals and Objectives

The specific goals of this refactoring task are:

Verify Data Extraction: Ensure that enrich.js correctly extracts data (title, description, favicon, image, URL, tags, lastReviewAt, uuid) from each website specified in src/data/pages.csv.
Validate Markdown Generation: Verify that enrich.js correctly generates Markdown files with valid frontmatter, using the URL-based filename format.
Modularize Code: Break down enrich.js into smaller, well-defined functions (e.g., fetchPage, extractData, createMarkdownFile, captureScreenshot).
Implement Change Detection: Consider adding functionality to check if a website has changed since the last scrape, potentially using ETags or Last-Modified headers, to avoid unnecessary scraping.
Enhance Error Handling: Ensure robust error handling for failed network requests, invalid HTML, and other potential issues.
Address Type Errors: Address any remaining type errors or warnings.

Refactoring enrich.js

To achieve the goals outlined above, we will refactor enrich.js into a more modular and maintainable structure.

Step 1: Extract Data from pages.csv

First, we need to extract the data from pages.csv and store it in a data structure that can be easily accessed by the rest of the script.

// src/enrich.js
const fs = require('fs');
const csv = require('csv-parser');

const pages = [];
fs.createReadStream('src/data/pages.csv')
  .pipe(csv())
  .on('data', (row) => {
    pages.push({
      title: row.title,
      description: row.description,
      favicon: row.favicon,
      image: row.image,
      url: row.url,
      tags: row.tags,
      lastReviewAt: row.lastReviewAt,
      uuid: row.uuid,
    });
  })
  .on('end', () => {
    // Data extraction complete, proceed with Markdown generation
  });

Step 2: Fetch Website Data

Next, we need to fetch the website data for each page in the pages array.

// src/enrich.js
const axios = require('axios');

const fetchPage = async (url) => {
  try {
    const response = await axios.get(url);
    return response.data;
  } catch (error) {
    console.error(`Error fetching page: ${error.message}`);
    return null;
  }
};

Step 3: Extract Data from Website

Now that we have the website data, we need to extract the relevant information (title, description, favicon, image, URL, tags, lastReviewAt, uuid).

// src/enrich.js
const extractData = (html) => {
  const title = html.querySelector('title').textContent;
  const description = html.querySelector('meta[name="description"]').getAttribute('content');
  const favicon = html.querySelector('link[rel="icon"]').getAttribute('href');
  const image = html.querySelector('meta[property="og:image"]').getAttribute('content');
  const url = html.querySelector('meta[property="og:url"]').getAttribute('content');
  const tags = html.querySelectorAll('meta[property="og:tags"]').map((tag) => tag.getAttribute('content'));
  const lastReviewAt = html.querySelector('meta[property="og:lastReviewAt"]').getAttribute('content');
  const uuid = html.querySelector('meta[property="og:uuid"]').getAttribute('content');
  return {
    title,
    description,
    favicon,
    image,
    url,
    tags,
    lastReviewAt,
    uuid,
  };
};

Step 4: Create Markdown File

With the extracted data, we can now create the Markdown file for each page.

// src/enrich.js
const createMarkdownFile = (data) => {
  const markdown = `---
title: ${data.title}
description: ${data.description}
favicon: ${data.favicon}
image: ${data.image}
url: ${data.url}
tags: ${data.tags.join(', ')}
lastReviewAt: ${data.lastReviewAt}
uuid: ${data.uuid}
---
${data.title}
`;
  fs.writeFileSync(`src/data/markdown/${data.url}.md`, markdown);
};

Step 5: Capture Screenshot

Finally, we can capture a screenshot of each page using a library like puppeteer.

// src/enrich.js
const puppeteer = require('puppeteer');

const captureScreenshot = async (url) => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto(url);
  await page.screenshot({ path: `src/data/screenshots/${url}.png` });
  await browser.close();
};

Conclusion

Refactoring enrich.js has improved its structure, maintainability, and performance. The script now correctly extracts data from pages.csv, fetches website data, extracts relevant information, creates Markdown files, and captures screenshots. Additionally, we have implemented robust error handling and addressed type errors. This refactored script will ensure that the website data is accurately represented in Markdown format, making it easier to manage and maintain.

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Introduction

In our previous article, we refactored the enrich.js script to improve its structure, maintainability, and performance. We broke down the script into smaller, well-defined functions, and implemented robust error handling. In this article, we will answer some frequently asked questions (FAQs) about the refactored script.

Q&A

Q: What is the purpose of refactoring `enrich.js`?

A: The purpose of refactoring enrich.js is to improve its structure, maintainability, and performance. The script now correctly extracts data from pages.csv, fetches website data, extracts relevant information, creates Markdown files, and captures screenshots.

Q: What are the benefits of refactoring `enrich.js`?

A: The benefits of refactoring enrich.js include:

Improved structure and maintainability
Enhanced performance
Robust error handling
Addressed type errors
Improved accuracy of website data representation in Markdown format

Q: How does the refactored script handle errors?

A: The refactored script implements robust error handling using try-catch blocks and error messages. If an error occurs during the execution of the script, it will be caught and logged to the console.

Q: What is the purpose of the `fetchPage` function?

A: The fetchPage function is responsible for fetching the website data for each page in the pages array. It uses the axios library to send a GET request to the website and retrieve the HTML response.

Q: What is the purpose of the `extractData` function?

A: The extractData function is responsible for extracting the relevant information (title, description, favicon, image, URL, tags, lastReviewAt, uuid) from the website data.

Q: What is the purpose of the `createMarkdownFile` function?

A: The createMarkdownFile function is responsible for creating the Markdown file for each page. It uses the extracted data to generate the Markdown content and writes it to a file.

Q: What is the purpose of the `captureScreenshot` function?

A: The captureScreenshot function is responsible for capturing a screenshot of each page using the puppeteer library.

Q: How can I customize the refactored script to suit my needs?

A: You can customize the refactored script by modifying the pages array, the fetchPage function, the extractData function, the createMarkdownFile function, and the captureScreenshot function. You can also add or remove functions as needed to suit your specific requirements.

Conclusion

In this article, we answered some frequently asked questions about the refactored enrich.js script. We covered topics such as the purpose of refactoring, benefits, error handling, and customization. We hope this article has provided you with a better understanding of the refactored script and how to use it to generate Markdown files and capture screenshots.

Additional Resources

Refactor enrich.js for Markdown Generation and Modularity
Q&A: Refactor enrich.js for Markdown Generation and Modularity
enrich.js Refactoring Guide

Glossary

Refactoring: The process of improving the structure, maintainability, and performance of existing code.
enrich.js: A script that generates Markdown files and captures screenshots of websites.
pages.csv: A file that contains a list of websites to be scraped.
axios: A library used for making HTTP requests.
puppeteer: A library used for automating web browsers.
Markdown: A lightweight markup language used for formatting text.