Information Manipulation Analyzer

This is the frontend of the "Information Manipulation Analyzer" project.

The main idea is to show the volumetry of a hashtag along with some other informations in order to have a better idea of whether or not a hashtag has been artificially improved.

The processor that will actually scrape all the data can be found here

Technical stack

We are using now NextJs with a custom Folder Structure Charts are displayed thanks to the amazing highcharts

Development

IMPORTANT main branch is main but all PRs must be against develop, except for immediate patches

Create a .env.local file at the root of the project (You can copy it from .env.local.example)

NODE_PATH="src"
MONGODB_URI="mongodb://localhost:27017/information-manipulation-analyzer-preproduction?&compressors=zlib&retryWrites=true&w=majority"

launch a mongoDb Instance or connect to a distant one

Then launch

yarn
yarn dev

Testing to your local IP address

When building responsive applications, it is very important to be able to test on mobile and other devices in real-time.

Get your local IP

ipconfig getifaddr en0

Run

yarn dev -H YOUR.LOCAL.IP.ADRESS

Deployment

If you are part of AmbNum, you can use the deploy scripts in the package.json

Automatic build and deploy from Github

Although the following docs will show you how to deploy from your local machine, a CI process will deploy a new version of the app everytime a tag is created.

So if you want to benefit from this, create a new tag on the develop or main branch with

npm version <patch|minor|major>

and it will be deployed either on preprod or prod