[FEAT] Enable Backend Integration for Multilingual Content - BACKEND

[theijhay]

Description

• Implement backend APIs to manage and serve multilingual content using translation files. Support seamless integration of multiple languages by enhancing backend infrastructure to handle translation files efficiently, allowing the frontend to utilize these files for displaying content in various languages.

Acceptance Criteria

• Backend API endpoints for managing translation files are developed and functional.
• Caching strategies for optimized performance are implemented.
• API functionality and data security measures are validated.

Purpose

• To provide efficient handling of language-specific content requests, ensuring fast and reliable delivery of localized content to the frontend through the use of translation files.

Requirements

1. Develop Backend API Endpoints:

• GET /api/v1/translations/{language}: Fetches the translation file for the specified language.
• POST /api/v1/translations: Adds or updates translation files for specific languages.
• DELETE /api/v1/translations/{language}: Deletes the translation file for the specified language.
• GET /api/v1/languages: Retrieves the list of supported languages.

2. Implement Caching Mechanisms:

• Develop and deploy caching strategies to optimize the performance of retrieving translation files.
• Utilize caching solutions like Redis or Memcached to store frequently accessed translation files.

3. Ensure Data Security and Compliance:

• Implement measures to protect translation files during transmission and storage.

Expected Outcome

1. Localized Content Delivery:

• Translation files are delivered efficiently to the frontend, providing users with a seamless experience in their preferred language.

2. Improved Performance:

• Caching strategies reduce latency and improve response times for retrieving translation files

3. Data Security Compliance:

• Measures are in place to protect the security of translation files.

4. Scalability:

• Backend infrastructure supports adding new languages with minimal effort.

5. Reliability:

• The system reliably handles concurrent requests for translation files without degradation in performance.

Endpoint Results

1. GET /api/v1/translations/{language}

• Description: Fetches the translation file for the specified language.
• Response:

  {
  {
  "language": "en",
  "translations": {
  "key1": "Localized content 1",
  "key2": "Localized content 2"
  }
  }

2.POST /api/v1/translations

• Description: Adds or updates translation files for specific languages.
• Request Body:

{
  "language": "en",
  "translations": {
    "key1": "Localized content 1",
    "key2": "Localized content 2"
  }
}

• Response:

  {
  "status": "success",
  "message": "Translation file updated successfully"
  }

3. DELETE /api/v1/translations/{language}

• Description: Deletes the translation file for the specified language.
• Response:

  {
  "status": "success",
  "message": "Translation file deleted successfully"
  }

4. GET /api/v1/languages

• Description: Retrieves the list of supported languages.
• Response:

  {
  "languages": [
  "en",
  "es",
  "fr",
  "de"
  ]
  }

Tasks

• Identify language requirements and content management needs.
• Design and develop API endpoints for fetching and managing language-specific content (GET, POST, DELETE endpoints).
• Implement error handling and validation for API requests.
• Implement mechanisms for managing multilingual content using translation files.
• Design caching strategies for optimized performance of language-specific content retrieval.
• Implement caching mechanisms to store translated content and reduce response time.
• Ensure data security and compliance with internal guidelines.
• Implement authentication and authorization mechanisms for API access.

Testing

1. Verify Valid Language Codes Return Expected Content:

• Send a GET request with a known valid language code (e.g., "en").
• Ensure the response status is 200 and the returned content matches the expected content for that language.

2. Check Handling of Invalid Language Codes:

• Send a GET request with an invalid language code (e.g., "xyz").
• Expect a 404 status code or appropriate error response indicating invalid language code.

3. Verify Content Update Functionality:

• Send a POST request with new content for a valid language code.
• Expect a 200 status code and confirmation message indicating a successful update.

4. Ensure Content Validation on Update:

• Send a POST request with invalid content data (e.g., missing required fields).
• Confirm that the API returns a 400 status code or appropriate validation error messages.

5. Verify Deletion of Content:

• Send a DELETE request for a specific language code.
• Expect a 200 status code and confirmation message indicating successful deletion.

6. Verify Caching Functionality for Language-Specific Content Retrieval:

• Send multiple requests for the same language content within a short period.
• Confirm that subsequent requests result in faster response times indicating a cache hit.

7. Ensure Caching Expiration and Refresh Mechanism:

• Update content for a language and check if subsequent requests reflect the updated content.
• Validate that the updated content is retrieved after the cache expires.

Technical Skills Required

• Backend Development
• API Integration
• Caching Mechanisms
• Data Security

Relevant Categories

• Backend Development

• API Integration

• Multilingual Support

Mentor

• @buka4rill

[markessien]

We are not using external services. Also I do not agree with calling a content api for every single piece of content. Frontend usually have translation files, this is a better way of supporting multi-lingual than what is described here

[theijhay]

We are not using external services. Also I do not agree with calling a content api for every single piece of content. Frontend usually have translation files, this is a better way of supporting multi-lingual than what is described here

It has been adjusted sir.