Project Evredika

Here you can find implementation of light-weight service, which is used for storing user data

What is used ?

• Since I decided to store all data in .json format I realized that data receiving would be much faster if it'll be stored in service-cache.
• Logrus is used for event-logging.
• There are several implementations of using Database : S3 (currently is not working due to network issues w/ local-minio but you can use others S3 storages) and files in system folder.

API

Postman

You can find test API calls here : https://www.getpostman.com/collections/5151a4015339afab9255

Routes and description

// Used data format :
type User struct {
	ID string
	Name string
}

Route	Method	Description	Query Params	Request Body	Response Body
/api/v1/user	POST	Create user in collection; If it already exist - return error	Empty	Json : User struct	Empty; Only status
/api/v1/user	PUT	Update user in collection; If it doesn't exist - return error	Empty	Json : User struct	Empty; Only status
/api/v1/user	DELETE	Delete user in collection	ID - string (ID of user)	Empty	Empty; Only status
/api/v1/user	GET	GET user from collection	ID - string (ID of user)	Empty	Json : User struct
/api/v1/user/list	GET	List users from collection	skip, limit - INT; used for search	Empty	Json : List of User struct

How to use

To run server just type into console : 'docker-compose up'

• If you want to up your environment using file saver in local system as your Database, write to docker-compose.yml (Is already set as default) :

      version: '3.7'
      services:
        user_server:
            build:
              dockerfile: Dockerfile.user_server
              context: .
              args:
                - APP_PKG_NAME=project-evredika
                - GOOS=linux
            ports:
              - "10080:80"
            environment:
              - PORT=:80
              - SUFFIX=.json
              - BUCKET=common_data/
              - CHANNELS_SIZE=20
              - STORAGE_TYPE=OS

• If you want to up your environment using S3 as your Database, write to docker-compose.yml (I got stuck with this version because of network issues; i cant create bucket :/ ) :

  version: '3.7'
  services:
    storage:
      image: minio/minio
      ports:
       - "19000:9000"
      environment:
        MINIO_ROOT_USER: minio123
        MINIO_ROOT_PASSWORD: minio123
      command: server /data
      networks:
       - user_server
  
    user_server:
      build:
        dockerfile: Dockerfile.user_server
        context: .
        args:
          - APP_PKG_NAME=project-evredika
          - GOOS=linux
      ports:
        - "10080:80"  
      environment:
        - PORT=:80
        - SUFFIX=.json
        - BUCKET=commondata
        - CHANNELS_SIZE=20
        - STORAGE_TYPE=S3
        - S3_ENDPOINT=storage:9000
        - S3_REGION=ru-msk
        - ACCESS_KEY_ID=minio123
        - SECRET_ACCESS_KEY=minio123
        - DISABLE_SSL=true
        - S3_FORCE_PATH_STYLE=true
      depends_on:
       - storage
      networks:
       - user_server
  
  networks:
    user_server:
      driver: bridge