開発スタッフがアプリ関連の最新技術やニュースをご紹介します。

以下のように結果画面へ一時リダイレクトをかける場合に、httpsスキームが引き継がれない場合があります。

return redirect('result', 307);

その場合、以下のようにsecure()を使えば、常にhttpsへリダイレクトされます。

return redirect()->secure('result', 307);

JavaScriptのassetなどを読み込む際に以下のようにbladeディレクティブを使用する場合もhttpsスキームが引き継がれない場合があります。

<script src="{{ asset('common/js/xxxx.js') }}"></script>

その場合はLaravelのヘルパー関数 secure_asset() を使用することでhttpsでassetを読み込むことが可能になります。

<script src="{{ secure_asset('common/js/xxxx.js') }}"></script>

プロジェクト全体に対してグローバルに https を強制させたい場合は、Laravelの AppServiceProvider で設定が可能です。具体的には以下のように記述することですべての url() や asset() などが https を前提に生成されるようになります。

use Illuminate\Support\Facades\URL;

public function boot()
{
    if (app()->environment('production')) {
        URL::forceScheme('https');
    }
}

上記の例では、environment(‘production’)で本番環境のみ、httpsを強制するように設定しています。

木曜日担当：nishida

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In the digital age, we often find ourselves overwhelmed with files scattered across our computers. Whether it’s photos from last summer’s vacation, important documents for work, or music and videos for entertainment, keeping track of everything can be a challenge. But fear not! With the power of Python, you can automate the process of organizing your files into neat categories based on their types.

In this tutorial, we’ll walk you through a simple Python script that automatically organizes your files into categories like images, documents, videos, and more.

Before we dive in, make sure you have Python installed on your computer.

Step 1: Setting Up the Script

First, let’s create a Python script that will do the heavy lifting for us. Open your favorite text editor and copy the following code:

import os
import shutil

def classify_files(directory):
    # Dictionary of file categories and their extensions
    categories = {
        'Images': ['jpeg', 'jpg', 'png', 'gif', 'bmp'],
        'Documents': ['pdf', 'doc', 'docx', 'txt', 'rtf'],
        'Spreadsheets': ['xls', 'xlsx', 'csv'],
        'Videos': ['mp4', 'avi', 'mov', 'mkv'],
        'Music': ['mp3', 'wav', 'flac', 'aac'],
        'Archives': ['zip', 'rar', '7z', 'tar', 'gz']
    }

    # Create category directories if not exist
    for category in categories.keys():
        os.makedirs(os.path.join(directory, category), exist_ok=True)

    # List files in the directory
    files = os.listdir(directory)

    # Classify files
    for filename in files:
        # Get file extension
        _, ext = os.path.splitext(filename)
        ext = ext[1:].lower()  # Remove leading dot and convert to lowercase

        # Classify the file into appropriate category
        for category, extensions in categories.items():
            if ext in extensions:
                # Move the file to the corresponding category directory
                source_path = os.path.join(directory, filename)
                dest_path = os.path.join(directory, category, filename)
                shutil.move(source_path, dest_path)
                print(f"Moved '{filename}' to '{category}' category.")
                break  # Once classified, move to next file


def main():
    # Input directory path
    directory = input("Enter the directory path to classify files: ")

    # Check if directory exists
    if not os.path.exists(directory):
        print("Directory not found.")
        return

    # Classify files
    classify_files(directory)
    print("File classification completed.")


if __name__ == "__main__":
    main()

Save the file with a meaningful name like `organize_files.py`.

Step 2: Understanding the Code

Now, let’s break down what the code does:

– The script defines a dictionary of file categories and their corresponding extensions. For example, images have extensions like JPEG, PNG, etc.

– It prompts you to enter the directory path where your files are located.

– It creates category directories if they don’t exist already.

– It loops through all the files in the directory, classifies them into appropriate categories based on their extensions, and moves them to the respective category folders.

Step 3: Running the Script

Navigate to the directory where you saved the Python script using the command line or terminal. Then, run the script by typing `python organize_files.py` and press Enter.

Step 4: Sit Back and Relax

Watch as the script works its magic, organizing your files into tidy categories. Once it’s done, you will see your newly organized file system!

Conclusion

You’ve just automated the tedious task of file organization using Python. From now on, keeping your digital files organized will be a breeze. Feel free to customize the script to suit your specific needs and explore other ways Python can simplify your life.

Hope you enjoy that.

By Asahi

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In the realm of programming languages, each one comes with its own set of strengths and characteristics, tailored to suit different needs and preferences of developers. Two prominent languages that often find themselves in comparison are C and Go (or Golang). Let’s delve into the key differences between these two languages across various aspects.

1. Memory Management

– In C, developers need to manually manage memory, allocating and deallocating it for variables. This hands-on approach gives precise control but also opens doors to memory-related bugs.

– Go takes a different route with automatic garbage collection, simplifying memory management tasks for developers and reducing the likelihood of memory leaks.

2. Concurrency

– Go shines in this department with its built-in support for concurrency. Goroutines and channels make it easier to write concurrent programs without worrying about low-level threading intricacies.

– C, lacking built-in concurrency primitives, often resorts to external threading libraries like POSIX threads, which can be more complex and error-prone.

3. Type System

– C boasts a weak static type system, allowing implicit type conversions and offering limited type checking.

– Go’s strong static type system enhances type safety and reduces common programming errors by enforcing stricter type rules.

4. Error Handling

– Go introduces a unique error handling mechanism using return values, eschewing exceptions. This approach encourages explicit error handling, leading to more robust and predictable code.

– C relies on error codes, return values, and functions like perror() for error handling, which can be less structured and more error-prone compared to Go’s approach.

5. Standard Library

– C’s standard library is minimalistic, often necessitating reliance on third-party libraries for additional functionalities.

– Go boasts a rich standard library covering a wide range of tasks, from networking to encryption, reducing the need for external dependencies and streamlining development.

6. Memory Safety

– C’s flexibility comes at a cost, as direct memory manipulation can lead to common pitfalls like buffer overflows and dangling pointers.

– Go prioritizes memory safety, employing automatic bounds checking and garbage collection to mitigate memory-related bugs, enhancing overall code reliability.

In conclusion, while C and Go share some similarities, they diverge significantly in their approach to memory management, concurrency, type systems, error handling, standard libraries, and memory safety. Understanding these differences can help developers make informed decisions when selecting the right language for their projects, based on factors such as performance requirements, ease of development, and code reliability.

Hope you enjoy that.
Asahi

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In the realm of desktop application development, Electron.js stands out as a robust framework for building cross-platform apps using web technologies. Among its many features, integrating tray icons can significantly enhance user experience by providing quick access to essential functionalities. Today, let’s explore how we can implement tray icons in our Electron.js application, from setup to implementation.

Setting Up A Electron.js Project

First things first, let’s set up a basic Electron.js project:

1. Initialize a new Node.js project

mkdir project_name && cd project_name
npm init -y

2. Install Electron.js

npm install electron

3. Create project files

project_name/
├── icon.png
├── index.html
├── index.js
├── node_modules
├── package.json
└── package-lock.json

– `index.html` for the application’s UI.

– `index.js` for Electron main process code.

– An icon file (`icon.png`) for the tray icon.

– add `start` command in package.json like this.

{
  "name": "project_name",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1",
    "start": "electron ."
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "electron": "^29.0.1"
  }
}

Implementing Tray Icon Functionality

Next, let’s dive into implementing the tray icon functionality in `index.js` file:

const { app, Tray, BrowserWindow } = require('electron');
const path = require('path');

let tray = null;
let mainWindow = null;

app.on('ready', () => {
  tray = new Tray(path.join(__dirname, 'icon.png'));

  mainWindow = new BrowserWindow({
    width: 800,
    height: 600,
    show: false,
    webPreferences: {
      nodeIntegration: true
    }
  });

  mainWindow.loadFile('index.html');

  tray.on('click', () => {
    mainWindow.isVisible() ? mainWindow.hide() : mainWindow.show();
  });
});

Running Your Electron.js Application

To run Electron.js application, execute the following command in the terminal:

npm start

This command will start Electron application, and we should see the tray icon appear in our system tray. Clicking on the tray icon should toggle the visibility of the application window.

Conclusion

Integrating tray icons into Electron.js application is a straightforward process that can greatly improve user experience. Whether it’s for displaying notifications, providing quick access to features, or simply adding a professional touch to our app, tray icons are a valuable addition to any desktop application.

With Electron.js, implementing tray icons becomes seamless, allowing us to focus on crafting an exceptional user experience for our desktop application. So why not enhance our Electron.js app with a sleek tray icon for innovative ideas?

Hope you enjoy that.

By Asahi

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360球体画像の内側からアイトラッキングで視線情報を追従してどの部分を見ていたかログを取得する処理をつくっていましたが、ビルド後に視線のRayと360球体画像の内側の衝突判定がとれなくなりログに出力できないという問題が発生しました。
今回はこの問題の解決方法をシェアしたいと思います。

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