Train Station

By Marc Nguyen and Jean-Baptiste Rubio.

Specifications

API

Specifications are given here: Protos and docs

Android

• Fetch data from the api and display in a list and a screen with the details

• Possibility to bookmark certain items per user

• OAuth Authentication

• Mockup:

• Implementation of a search/filter system on the displayed list

• Setting up a local database to display the item list in offline mode

• Usage of StateFlow

Screenshots

Modern Android Development (MAD)

MAD scorecard

Documentation

API

Setup

Production build and deployment

Use docker/kubernetes/openshift to deploy the container.

docker pull ghcr.io/darkness4/train-station-api:latest

Available arch are: arm64 and amd64.

An example of docker-compose.yml:

version: '3.9'
services:
  train-station-api:
    build: ghcr.io/darkness4/train-station-api:amd64
    ports:
      - 3000:3000
    volumes:
      - ./db:/db
    environment:
      JWT_SECRET: <base64 secret>
      LISTEN_ADDRESS: 0.0.0.0:3000
      DB_PATH: /db/db.sqlite3
      DEBUG: true
      TLS_ENABLE: false

Setup a development environment

1. Install golang et install the dependencies

   go mod download
   

2. # Inside: ./train-station-api
   make
   ./bin/train-station-api
   make unit # Run unit tests
   

Architecture

flowchart TD
    JWT
    *sql.SQL
    DB
    subgraph server[gRPC server]
        healthAPI
        stationAPI
        authAPI
    end
    *sql.SQL --> DB
    DB --> stationAPI
    JWT --> authAPI
    JWT --> stationAPI

If you have seen the old versions before version 2, we were using the SOLID architecture in Go. After years of experience, we realized that the SOLID architecture tells us how to organize our code and how to inject dependencies.

However, the explicit layering adds standard code and incomprehensible "data mappings", which hinders maintainability and understanding of the project. While the SOLID architecture seems ideal for object-oriented languages such as Kotlin, for Go it adds too much boilerplate code with no benefit other than having to "pseudo-satisfy" the SOLID principles.

In reality, the SOLID priciples goes against the Effective Go recommendations which is way more important since it is the base for every Go developers, while SOLID are principles for object-oriented programming.

Since SOLID offers no real benefits outside of pain, we decided to remove the explicit layering while still sticking to domain-oriented development.

The contract is as follows:

• Retrieve the data at the start of the program
• Retrieve stations (several or one)
• The user can add a station to his favorites

This translates into :

• Download the data in the main.go as the main function indicates the start. The data is stored in a database or cache.
• The gRPC models are the domain entities and we serve them. This means that we translate the database models into gRPC models.
• Define a favoriteSetter interface and implement it. And the database can implement the interface perfectly.

Entity relationship

erDiagram
    Station }|..|{ User : favorite

Technologies used

• sqlc for database-first approach and type-safe SQL
• go-migrate for database migrations
• gRPC as HTTP server and main entrypoint
• urfave/cli for the CLI tooling
• JWT for session handling
• OAuth2 for Authentication

Web Front-End

Setup

Install pnpm and install the dependencies:

pnpm install --frozen-lockfile

Create a Github OAuth App, generate a secret with openssl rand -base64 32, and fill a .env file with the following content:

GITHUB_ID=<Github OAUTH App ID>
GITHUB_SECRET=<Github OAUTH App Secret>
AUTH_SECRET=<Random Secret>

Serve in development mode:

pnpm run dev

Or deploy in production:

pnpm run build
# pnpm run preview # for demonstration

Technologies used

• SvelteKit with SSR as main web framework
• NextAuth.js as authentication helpers
• protobuf-ts + gRPC as transport
• ViteJS for bundling and optimizing

Android App

Architecture

flowchart TD
    oauth[OAuth provider]
    subgraph data[Data Layer]
        subgraph cache[Cache]
              oauthDataStore
             jwtDataStore
             Room
        end
        oauth
        StationRepositoryImpl
        authAPI
        stationAPI
    end

    subgraph domain[Domain Layer]
        StationRepository
    end

    subgraph presentation[Presentation Layer]
        LoginViewModel
        DetailViewModel
        StationListViewModel
        MainActivity
    end

    Room-->StationRepositoryImpl
    jwtDataStore-->StationRepositoryImpl
    StationRepositoryImpl-->|implements|StationRepository
    stationAPI-->StationRepositoryImpl
    jwtDataStore-->LoginViewModel
    authAPI-->LoginViewModel
    oauthDataStore-->LoginViewModel
    StationRepository-->DetailViewModel
    StationRepository-->StationListViewModel
    oauth-->MainActivity
    oauthDataStore-->MainActivity

The Data layer:

• The Data layer runs under Kotlin Coroutines and Kotlin Flow.
• Room and the DataStores is the application's cache
  • The cache temporarily stores the Stations
  • The cache is observable using Kotlin Flow
  • Room is able to provide a PagingSource. The PagingSource is able to load pages of data stored in a PagingData.
  • Room executes requests in a Kotlin coroutine in the IO thread.
• stationAPI is a gRPC data source which permits to retrieves Stations. It needs a JWT token to fetch datas.
• OAuth provider gives the OAuth Access Token which is use to authenticate and identify users. The accessToken is cached inside the oauthDataStore. Upon receiving the OAuth Access Token, the authAPI tries to fetch a JWT token.
• The StationRepositoryImpl implements StationRepository and executes CRUD methods.
  • For asynchronous actions, the Station of the response is cached and returned.
  • For a watch action (watch/watchOne), we observe the cache and may fetch the initial values from a data source.
  • For paged data, we create and run the Pager to retrieve the PagingData from the cache. The pager uses the StationRemoteMediator which is responsible to fetch and cache pages of Station from a data source.

In the Domain layer:

• Entities and contracts are defined here.
• Currently, our stationRepository satisfies most use cases (displaying a list of Stations, displaying details of a Station, updating a Station...).

In the Presentation layer :

• Data is observable in the ViewModels. The ViewModels act as the middle man between the presentation layer and domain layer. This is to follow the Modern Android App Architecture.
• The MainActivity renders a Scaffold with its TopAppBar. Inside that scaffold is a NavigationHost composable.
• The NavigationHost renders a page based on a route:
  • The default route is /login, and shows a login button. The button triggers a redirection to the OAuth provider, which then send the resulting OAuth Access Token to the MainActivity and triggers the authAPI to fetch a JWT. Upon receiving a JWT, the user is authenticated and is redirected to the /stations route.
  • The /stations route shows a LazyColumn which listen to a Flow<PagingData<Station>>. This allows lazy loading of the data, and therefore, the lazy loading of "station cards". The page also shows a "About" page. When the user push on a "station card", the user is redirected to the /details route.
  • The /details route shows the position of the train station on Google Maps and details about that station on a Bottom Sheet.

Technologies used

Android dependencies and AndroidX

• Room and Protobuf DataStore, as a cache.
• Retrofit + OkHttp 4 + gRPC, as data sources.
• Jetpack Compose, for bidirectional data binding and UI development.
• ViewModel and StateFlow, to follow the Modern Android App Architecture and avoid fragment/activities lifecycle issues
• Paging 3, as a solution for paged data
• Hilt, for dependency injection
• Google Maps SDK for Android

Kotlin in general

• Kotlin Coroutines + Kotlin Flow, for async
• Kotlinx.serialization, for JSON serialization

LICENSE

MIT License

Copyright (c) 2021 Marc NGUYEN, Jean-Baptiste RUBIO

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.