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https://github.com/omgiri01/ai-driven-inspection-of-institutes

This repository was created by Flatlogic Platform: https://flatlogic.com/generator | Application page: https://insptitutes.flatlogic.app
https://github.com/omgiri01/ai-driven-inspection-of-institutes

docker flatlogic js low-code nginx nodejs postgresql react tailwind ts

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This repository was created by Flatlogic Platform: https://flatlogic.com/generator | Application page: https://insptitutes.flatlogic.app

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# AI driven inspection of institutes



## This project was generated by [Flatlogic Platform](https://flatlogic.com).



  - Frontend: [React.js](https://flatlogic.com/templates?framework%5B%5D=react&sort=default)



  - Backend: [NodeJS](https://flatlogic.com/templates?backend%5B%5D=nodejs&sort=default)



    Backend Folder Structure   



    The generated application has the following backend folder structure: 



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



      - `auth` - config the library for authentication and authorization;



      - `db` - contains such folders as:



        - `api` - documentation that is automatically generated by jsdoc or other tools;



        - `migrations` - is a skeleton of the database or all the actions that users do with the database;



        - `models`- what will represent the database for the backend;



        - `seeders` -  the entity that creates the data for the database.



      - `routes` - this folder would contain all the routes that you have created using Express Router and what they do would be exported from a Controller file;



      - `services` - contains such folders as `emails` and `notifications`.   

     



  - Database: PostgreSQL



  - Deployed link : https://insptitutes.flatlogic.app/ 



  -----------------------

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

-----------------------



## 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 `



   `arp-scan -I eth0 -l | grep `



   and



   `arping `



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`