Parallel Translator is a web application built with Java and Spring Boot for translating a set of words into another language using a third-party translation service MyMemory API. Each word is translated in separate threads with a maximum of 10 concurrent threads. The application also logs translation requests to a PostgreSQL database.

• Java 17
• Spring Boot 3.3.2
• PostgreSQL 16
• JDBC
• RestTemplate
• Docker
• HTML + JS

• Java 17
• Maven
• Docker and Docker Compose

1. Clone the repository:

   git clone https://github.com/AlexanderGarifullin/ParallelTranslator.git
   cd ParallelTranslator

2. Build the project using Maven:

   ./mvnw clean package

3. Run the application using Docker Compose:

   docker-compose build --no-cache
   docker-compose up

4. Shut down the application:

   docker-compose down

Once the application is running, it will be accessible at http://localhost:8080/api/translate.

Here is a screenshot of the main page of the web application:

If you navigate to a non-existent page, you will see a custom error page. For example, try visiting http://localhost:8080/nonexistent.

• Endpoint: /api/translate
• Method: POST
• Request Body:

  {
      "text": "your text here",
      "sourceLang": "en",
      "targetLang": "es"
  }

• Response:

  "your translated text here"

1. Send a translation request:

   curl -X POST -H "Content-Type: application/json" -d '{"text": "hello world", "sourceLang": "en", "targetLang": "es"}' http://localhost:8080/api/translate

2. Response:

   "hola mundo"

You can view the PostgreSQL database this way:

1. Access the PostgreSQL container:

   docker exec -it postgres psql -U postgres -d TranslatorDB

2. List all entries in api_translation_requests_logs:

   SELECT * FROM api_translation_requests_logs;

3. Exit the PostgreSQL command line:

   \q

To view the Javadoc documentation:

1. Generate Javadoc:

   Run the following Maven command to generate the Javadoc:

   ./mvnw javadoc:javadoc

2. Navigate to the Javadoc directory:

   The Javadoc will be generated in the target/site/apidocs directory.

This project is licensed under the MIT License. See the LICENSE file for details.

• The application is designed to handle translation of individual words concurrently using up to 10 threads.
• All translation requests are logged into the api_translation_requests_logs table with the following structure:
  • id (integer, primary key)
  • client_ip (varchar(45), not null)
  • text (text, not null)
  • translated_text (text, not null)
  • created_at (timestamp, default current timestamp)

For any issues or questions, please open an issue on GitHub or contact me.

© 2024 Alexander Garifullin. All rights reserved.