go-exercises-backend, v1.3

Back-end of the service for solving programming exercises.

Calculate a total correctness flag based on all solutions of a requesting author; sort the tasks and solutions; process pagination for the tasks and solutions; allow a solution task author to get solutions of other authors.

Change Log

• RESTful API:
  • models:
    • task model:
      • operations:
        • getting all tasks:
          • join an additional data:
            • join an author data to the results;
            • calculate a total correctness flag based on all solutions of a requesting author;
          • sort the results by creation time in descending order;
          • process pagination:
            • implemented using an offset and a limit;
        • getting a single task by an ID:
          • join an additional data:
            • join an author data to the results;
            • calculate a total correctness flag based on all solutions of a requesting author;
    • solution model:
      • operations:
        • getting all solutions by a task ID:
          • join an author data to the results;
          • filtered by a requesting author:
            • allow a solution task author to get solutions of other authors;
          • sort the results by creation time in descending order;
          • process pagination:
            • implemented using an offset and a limit;
        • getting a single solution by an ID:
          • join an author data to the results;
          • allow a solution task author to get solutions of other authors.

Features

• RESTful API:
  • models:
    • task model:
      • storing:
        • author ID;
        • title;
        • description;
        • boilerplate code;
        • test cases:
          • all test cases are represented by a single string;
      • operations:
        • getting all tasks:
          • calculate a total correctness flag based on all solutions of a requesting author;
          • sort the results by creation time in descending order;
          • process pagination:
            • implemented using an offset and a limit;
        • getting a single task by an ID:
          • calculate a total correctness flag based on all solutions of a requesting author;
        • creating;
        • updating by an ID:
          • allowed for its author only;
        • deleting by an ID:
          • allowed for its author only;
    • solution model:
      • storing:
        • author ID;
        • task ID;
        • code;
        • correctness flag;
        • testing result:
          • represented by a string;
      • operations:
        • getting all solutions by a task ID:
          • filtered by a requesting author:
            • allow a solution task author to get solutions of other authors;
          • sort the results by creation time in descending order;
          • process pagination:
            • implemented using an offset and a limit;
        • getting a single solution by an ID:
          • allowed for:
            • solution author;
            • solution task author;
        • creating;
        • updating by an ID:
          • performed by a queue consumer only (see below);
  • representing:
    • in a JSON:
      • payloads:
        • of requests;
        • of responses;
    • as a plain text:
      • errors;
• server:
  • additional routing:
    • serving static files;
  • storing settings in environment variables;
  • supporting graceful shutdown;
  • logging:
    • logging requests;
    • logging errors;
  • panics:
    • recovering on panics;
    • logging of panics;
• authentication:
  • use the Bearer authentication scheme based on JSON Web Tokens:
    • store in a JWT claims:
      • expiration time claim;
      • user claim:
        • contains a whole user model;
  • generate a token signing key automatically by default;
  • user model:
    • storing:
      • username (unique);
      • password hash:
        • generated using the bcrypt function;
• databases:
  • storing data in the PostgreSQL database;
• interaction with queues:
  • using the RabbitMQ message broker;
  • common properties:
    • automatic declaring of the used queues;
    • passing of a message data in JSON;
  • operations:
    • producing solutions:
      • concurrent producing;
    • consuming solution results:
      • concurrent consuming;
      • once requeue the solution on failure;
• utilities:
  • utility for managing users:
    • commands:
      • add a user:
        • parameters:
          • username;
          • password:
            • generate automatically by default;
          • password hashing cost;
          • generated password length;
• distributing:
  • Docker image;
  • Docker Compose configuration.

Repository

Link: https://github.com/thewizardplusplus/go-exercises-backend/tree/v1.3.

Content: code.

License: MIT.