CityAi

CityAI Microservice Project

Welcome to the CityAI Microservice Project! This project aims to provide a scalable and modular solution for managing various aspects of a city’s operations through the use of microservices. Each microservice focuses on a specific domain within a city, enabling easy integration, deployment, and maintenance.

Table of Contents

  1. Introduction
  2. Features
  3. Getting Started
  4. Usage
  5. API Documentation
  6. Contributing
  7. License

Introduction

CityAI Microservice Project is designed to address the challenges faced by modern cities in managing diverse systems and processes. By breaking down complex city operations into smaller, specialized microservices, this project provides a scalable and flexible architecture that can be extended and customized based on specific city requirements.

The project follows a microservice-based approach, where each microservice focuses on a specific domain, such as transportation, waste management, energy optimization, public safety, or urban planning. This allows individual services to be developed, deployed, and scaled independently, promoting better maintainability and agility.

Features

The CityAI Microservice Project offers the following key features:

  1. Modularity: Each microservice operates independently, allowing for easy integration and maintenance.
  2. Scalability: Services can be scaled individually based on demand, ensuring efficient resource utilization.
  3. Flexibility: The project provides an extensible architecture, enabling the addition of new services and integration with existing systems.
  4. Interoperability: Microservices communicate through well-defined APIs, enabling seamless data exchange between different domains.
  5. Real-time Data Processing: The project incorporates real-time data processing capabilities, enabling efficient decision-making and response to city events.
  6. Analytics and Insights: Services provide analytics and insights to aid city administrators in making data-driven decisions.

Getting Started

To get started with the CityAI Microservice Project, follow the instructions below.

Prerequisites

  1. Operating System: The project is compatible with Windows, macOS, and Linux.
  2. Node.js: Ensure that Node.js is installed on your system. You can download it from https://nodejs.org.
  3. Package Manager: The project uses npm as the package manager. npm is bundled with Node.js.

Installation

  1. Clone the project repository:

    git clone https://github.com/cityai-microservices/cityai.git
    
  2. Navigate to the project directory:

    cd cityai
    
  3. Install the project dependencies:

    npm install
    

Usage

To start using the CityAI Microservice Project, follow these steps:

  1. Start the desired microservice by running the following command:

    npm run start:<microservice-name>
    
  2. Access the microservice API through the provided endpoint. Refer to the API documentation for details on available endpoints and request/response formats.

  3. Integrate the microservice with other services or systems as required, using the provided API.

API Documentation

For detailed information about the API endpoints and their functionalities, refer to the API documentation.

Contributing

Contributions to the CityAI Microservice Project are welcome! If you want to contribute, please follow the guidelines outlined in the CONTRIBUTING.md file.

License

The CityAI Microservice Project is licensed under the MIT License. For more information, please refer to the LICENSE file.

Roadmap

The future development of the CityAI Microservice Project includes the following planned features and enhancements:

We welcome contributions and ideas from the community to help shape the future direction of the project.

Support

If you encounter any issues or have questions regarding the CityAI Microservice Project, please feel free to open an issue on the project repository. We will be glad to assist you.

Acknowledgments

We would like to express our gratitude to the open-source community for their invaluable contributions and inspirations that have made this project possible. We also extend our thanks to all the developers and organizations whose libraries, frameworks, and tools are utilized in this project.

About

The CityAI Microservice Project is developed and maintained by a team of passionate developers dedicated to creating innovative solutions for urban management. It is an open-source project aimed at empowering cities with intelligent and efficient systems.

For more information about the project and its contributors, visit the official website.

Stay Connected

To stay updated with the latest news and announcements regarding the CityAI Microservice Project, you can:

We encourage you to engage with the community, share your feedback, and contribute to the project’s growth and success.

Thank you for choosing the CityAI Microservice Project! We hope it provides valuable solutions for managing and improving cities.

Project Structure

Node is required for generation and recommended for development. package.json is always generated for a better development experience with prettier, commit hooks, scripts and so on.

In the project root, JHipster generates configuration files for tools like git, prettier, eslint, husky, and others that are well known and you can find references in the web.

/src/* structure follows default Java structure.

Development

Before you can build this project, you must install and configure the following dependencies on your machine:

  1. Node.js: We use Node to run a development web server and build the project. Depending on your system, you can install Node either from source or as a pre-packaged bundle.

After installing Node, you should be able to run the following command to install development tools. You will only need to run this command when dependencies change in package.json.

npm install

We use npm scripts and Angular CLI with Webpack as our build system.

If you are using hazelcast as a cache, you will have to launch a cache server. To start your cache server, run:

docker compose -f src/main/docker/hazelcast-management-center.yml up -d

Run the following commands in two separate terminals to create a blissful development experience where your browser auto-refreshes when files change on your hard drive.

./mvnw
npm start

Npm is also used to manage CSS and JavaScript dependencies used in this application. You can upgrade dependencies by specifying a newer version in package.json. You can also run npm update and npm install to manage dependencies. Add the help flag on any command to see how you can use it. For example, npm help update.

The npm run command will list all of the scripts available to run for this project.

PWA Support

JHipster ships with PWA (Progressive Web App) support, and it’s turned off by default. One of the main components of a PWA is a service worker.

The service worker initialization code is disabled by default. To enable it, uncomment the following code in src/main/webapp/app/app.module.ts:

ServiceWorkerModule.register('ngsw-worker.js', { enabled: false }),

Managing dependencies

For example, to add Leaflet library as a runtime dependency of your application, you would run following command:

npm install --save --save-exact leaflet

To benefit from TypeScript type definitions from DefinitelyTyped repository in development, you would run following command:

npm install --save-dev --save-exact @types/leaflet

Then you would import the JS and CSS files specified in library’s installation instructions so that Webpack knows about them: Edit src/main/webapp/app/app.module.ts file:

import 'leaflet/dist/leaflet.js';

Edit src/main/webapp/content/scss/vendor.scss file:

@import 'leaflet/dist/leaflet.css';

Note: There are still a few other things remaining to do for Leaflet that we won’t detail here.

For further instructions on how to develop with JHipster, have a look at Using JHipster in development.

Developing Microfrontend

Microservices doesn’t contain every required backend feature to allow microfrontends to run alone. You must start a pre-built gateway version or from source.

Start gateway from source:

cd gateway
npm run docker:db:up # start database if necessary
npm run docker:others:up # start service discovery and authentication service if necessary
npm run app:start # alias for ./(mvnw|gradlew)

Microfrontend’s build-watch script is configured to watch and compile microfrontend’s sources and synchronizes with gateway’s frontend. Start it using:

cd microfrontend
npm run docker:db:up # start database if necessary
npm run build-watch

It’s possible to run microfrontend’s frontend standalone using:

cd microfrontend
npm run docker:db:up # start database if necessary
npm watch # alias for `npm start` and `npm run backend:start` in parallel

Using Angular CLI

You can also use Angular CLI to generate some custom client code.

For example, the following command:

ng generate component my-component

will generate few files:

create src/main/webapp/app/my-component/my-component.component.html
create src/main/webapp/app/my-component/my-component.component.ts
update src/main/webapp/app/app.module.ts

JHipster Control Center

JHipster Control Center can help you manage and control your application(s). You can start a local control center server (accessible on http://localhost:7419) with:

docker compose -f src/main/docker/jhipster-control-center.yml up

Doing API-First development using openapi-generator-cli

OpenAPI-Generator is configured for this application. You can generate API code from the src/main/resources/swagger/api.yml definition file by running:

./mvnw generate-sources

Then implements the generated delegate classes with @Service classes.

To edit the api.yml definition file, you can use a tool such as Swagger-Editor. Start a local instance of the swagger-editor using docker by running: docker compose -f src/main/docker/swagger-editor.yml up -d. The editor will then be reachable at http://localhost:7742.

Refer to Doing API-First development for more details.

Building for production

Packaging as jar

To build the final jar and optimize the CityAi application for production, run:

./mvnw -Pprod clean verify

This will concatenate and minify the client CSS and JavaScript files. It will also modify index.html so it references these new files. To ensure everything worked, run:

java -jar target/*.jar

Then navigate to http://localhost:8081 in your browser.

Refer to Using JHipster in production for more details.

Packaging as war

To package your application as a war in order to deploy it to an application server, run:

./mvnw -Pprod,war clean verify

Testing

To launch your application’s tests, run:

./mvnw verify

Client tests

Unit tests are run by Jest. They’re located in src/test/javascript/ and can be run with:

npm test

Other tests

Performance tests are run by Gatling and written in Scala. They’re located in src/test/java/gatling/simulations.

You can execute all Gatling tests with

./mvnw gatling:test

For more information, refer to the Running tests page.

Code quality

Sonar is used to analyse code quality. You can start a local Sonar server (accessible on http://localhost:9001) with:

docker compose -f src/main/docker/sonar.yml up -d

Note: we have turned off forced authentication redirect for UI in src/main/docker/sonar.yml for out of the box experience while trying out SonarQube, for real use cases turn it back on.

You can run a Sonar analysis with using the sonar-scanner or by using the maven plugin.

Then, run a Sonar analysis:

./mvnw -Pprod clean verify sonar:sonar -Dsonar.login=admin -Dsonar.password=admin

If you need to re-run the Sonar phase, please be sure to specify at least the initialize phase since Sonar properties are loaded from the sonar-project.properties file.

./mvnw initialize sonar:sonar -Dsonar.login=admin -Dsonar.password=admin

Additionally, Instead of passing sonar.password and sonar.login as CLI arguments, these parameters can be configured from sonar-project.properties as shown below:

sonar.login=admin
sonar.password=admin

For more information, refer to the Code quality page.

Using Docker to simplify development (optional)

You can use Docker to improve your JHipster development experience. A number of docker-compose configuration are available in the src/main/docker folder to launch required third party services.

For example, to start a postgresql database in a docker container, run:

docker compose -f src/main/docker/postgresql.yml up -d

To stop it and remove the container, run:

docker compose -f src/main/docker/postgresql.yml down

You can also fully dockerize your application and all the services that it depends on. To achieve this, first build a docker image of your app by running:

npm run java:docker

Or build a arm64 docker image when using an arm64 processor os like MacOS with M1 processor family running:

npm run java:docker:arm64

Then run:

docker compose -f src/main/docker/app.yml up -d

When running Docker Desktop on MacOS Big Sur or later, consider enabling experimental Use the new Virtualization framework for better processing performance (disk access performance is worse).

For more information refer to Using Docker and Docker-Compose, this page also contains information on the docker-compose sub-generator (jhipster docker-compose), which is able to generate docker configurations for one or several JHipster applications.

Continuous Integration (optional)

To configure CI for your project, run the ci-cd sub-generator (jhipster ci-cd), this will let you generate configuration files for a number of Continuous Integration systems. Consult the Setting up Continuous Integration page for more information.