Find Approved English Versions of Content with InfoFetcher

When you're working with data, especially in a multilingual context, one of the most common pain points is figuring out whether an English version of a document or resource exists, and if so, whether it's officially approved. This is a real-world problem that developers and data analysts often face when dealing with international content, translations, or third-party documentation.

Let’s say you're processing a dataset of technical articles, and you need to determine if each item has an approved English version. You might be working on a project that requires localization, or you're trying to validate the integrity of a multilingual corpus. The problem is not trivial — it involves checking for the existence of specific files, verifying metadata, and possibly cross-referencing multiple sources.

Enter InfoFetcher. This tool is designed to answer a very specific public request: "Also is there an approved English version of it, or the same information by someone else?" It's not just a tool — it's a direct response to a real need.

In this article, I’ll show you how to build a simple CLI tool that can check for approved English versions of content using Python, and how to integrate it into your workflow. Even if you don't use InfoFetcher, the techniques here are valuable for anyone dealing with multilingual data.

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Let’s start by building a basic version of what InfoFetcher does. The core idea is to check if a file or URL has a corresponding English version. Here's a simple script that can be used to check for an English file in a directory:

import os

def find_english_version(directory, filename):
    base_name = os.path.splitext(filename)[0]
    english_filename = f"{base_name}_en{os.path.splitext(filename)[1]}"
    english_path = os.path.join(directory, english_filename)

    if os.path.exists(english_path):
        print(f"Found approved English version: {english_path}")
    else:
        print(f"No approved English version found for: {filename}")

# Example usage
find_english_version('.', 'document.pdf')

This script checks for a file named document_en.pdf in the same directory. If it exists, it confirms that an approved English version is available. This is a simple but powerful pattern for handling localized content.

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Now, let’s make it more robust by adding support for checking remote URLs. This is especially useful when you're dealing with online resources that may have English versions hosted elsewhere. Here’s how you can extend the tool to fetch and verify URLs:

import requests

def check_english_version(url):
    response = requests.get(url)
    if response.status_code == 200:
        content = response.text
        if 'approved english version' in content.lower():
            print(f"Found approved English version at: {url}")
        elif 'same information by someone else' in content.lower():
            print(f"Found same information by someone else at: {url}")
        else:
            print(f"No approved English version found at: {url}")
    else:
        print(f"Failed to fetch content from: {url}")

# Example usage
check_english_version('https://example.com/document.html')

This script fetches the content of a URL and checks for keywords that indicate an approved English version or an alternative source. It's a basic approach but can be extended with more sophisticated text analysis or by checking for specific headers or metadata.

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The power of these tools lies in their ability to automate what would otherwise be a manual and time-consuming process. InfoFetcher takes this a step further by providing a self-contained, no-dependency solution that can be run on your own files or data.

If you're dealing with multilingual content and need a reliable way to verify the existence of approved English versions, you'll want to check out InfoFetcher. It's a practical, developer-first tool that gets the job done without any external services.

In summary, this article has shown you how to build a simple CLI tool that can check for approved English versions of content. Whether you're working on localization projects, data validation, or content curation, these techniques can save you time and reduce errors. And if you're looking for a ready-to-use solution, InfoFetcher is the answer.