Koduca

Koduca is a software developmental learning classroom where interactive learning takes place

To start the project:

Backend:

Please change current folder: cd backend

Install local dependencies:

yarn install

---

Adjust local db:

1. Install postgres:

MacOS:

brew install postgres

> if you don’t have ‘brew‘ please install it (https://brew.sh) and repeat step `brew install postgres`.

Ubuntu:

sudo apt update

sudo apt install postgresql postgresql-contrib

2. Create db and admin user:

Before run and test connection, make sure you have created a database as described in the above configuration. You can use the psql command to create a user and database.

psql postgres --u postgres

Next, type this command for creating a new user with password then give access for creating the database.

postgres-# CREATE ROLE admin WITH LOGIN PASSWORD 'admin_pass';

postgres-# ALTER ROLE admin CREATEDB;

Quit psql then log in again using the new user that previously created.

postgres-# \q

psql postgres -U admin

Type this command to creating a new database.

postgres=> CREATE DATABASE db_{your_project_name};

Then give that new user privileges to the new database then quit the psql.

postgres=> GRANT ALL PRIVILEGES ON DATABASE db_{your_project_name} TO admin;

postgres=> \q

---

Create database:

yarn db:create

Start production build:

yarn start

Frontend:

Please change current folder: cd frontend

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