project

This project was generated by Flatlogic Platform.

• Frontend: React.js

• Design: Create React App

  Frontend Folder Structure

  The generated application has the following frontend folder structure:

  src folder which contains your working files that will be used later to create the build. the src folder contains folders as:

  • App.js;

  • App.css;

  • App.test.js;

  • Setup.test.js;

  • reportWebVitals.js;

  • index.js;

  • index.css;

  • logo.svg.

  public - is the web-accessible root of the site. Basically whatever is in that folder can be opened from the browser address bar. The server won't provide user access to files outside the public.

• Backend: NoBackend

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We offer 2 ways how to start the project locally: by running Frontend and Backend or with Docker.

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To start the project:

Frontend:

Please change current folder: cd frontend

Quick Start

1. Run yarn install

This will install both run-time project dependencies and developer tools listed in package.json file.

2. Run yarn start

Runs the app in the development mode.

Open http://localhost:3000 to view it in the browser. Whenever you modify any of the source files inside the /src folder, the module bundler (Webpack) will recompile the app on the fly and refresh all the connected browsers.

3. Run yarn build

Builds the app for production to the build folder. It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes. Your app is ready to be deployed!

To start the project with Docker:

Description:

The project contains the docker folder and the Dockerfile.

The Dockerfile is used to Deploy the project to Google Cloud.

The docker folder contains a couple of helper scripts:

• docker-compose.yml (all our services: web, backend, db are described here)

• start-backend.sh (starts backend, but only after the database)

• wait-for-it.sh (imported from https://github.com/vishnubob/wait-for-it)

  To avoid breaking the application, we recommend you don't edit the following files: everything that includes the docker folder and Dokerfile.

Run services:

1. Install docker compose (https://docs.docker.com/compose/install/)

2. Move to docker folder. All next steps should be done from this folder.

   cd docker

3. Make executables from wait-for-it.sh and start-backend.sh:

   chmod +x start-backend.sh && chmod +x wait-for-it.sh

4. Download dependend projects for services.

5. Review the docker-compose.yml file. Make sure that all services have Dockerfiles. Only db service doesn't require a Dockerfile.

6. Make sure you have needed ports (see them in ports) available on your local machine.

7. Start services:

   7.1. With an empty database rm -rf data && docker-compose up

   7.2. With a stored (from previus runs) database data docker-compose up

8. Check http://localhost:3000

9. Stop services:

   9.1. Just press Ctr+C

Most common errors:

1. connection refused

   There could be many reasons, but the most common are:

• The port is not open on the destination machine.

• The port is open on the destination machine, but its backlog of pending connections is full.

• A firewall between the client and server is blocking access (also check local firewalls).

After checking for firewalls and that the port is open, use telnet to connect to the IP/port to test connectivity. This removes any potential issues from your application.

MacOS:

If you suspect that your SSH service might be down, you can run this command to find out:

sudo service ssh status

If the command line returns a status of down, then you’ve likely found the reason behind your connectivity error.

Ubuntu:

Sometimes a connection refused error can also indicate that there is an IP address conflict on your network. You can search for possible IP conflicts by running:

arp-scan -I eth0 -l | grep <ipaddress>

arp-scan -I eth0 -l | grep <ipaddress>

and

arping <ipaddress>

2. yarn db:create creates database with the assembled tables (on MacOS with Postgres database)

   The workaround - put the next commands to your Postgres database terminal:

   DROP SCHEMA public CASCADE;

   CREATE SCHEMA public;

   GRANT ALL ON SCHEMA public TO postgres;

   GRANT ALL ON SCHEMA public TO public;

   Afterwards, continue to start your project in the backend directory by running:

   yarn start