A generic quiz engine for serving different types of questions (mcq, subjective, images, audio etc.) in a mobile-friendly webapp. The backend can be found here.
Table of Contents
Ensure that the backend is up and running by following the setup instructions here.
The project uses pre-commit
for identifying and fixing simple issues before you even make a commit.
Install pre-commit
Use pip
to install pre-commit
pip install pre-commit
Or using homebrew on macOS
brew install pre-commit
For more installation alternatives, check out Pre-commit official documentation.
Verify pre-commit installation
pre-commit --version
npm install
pre-commit
pre-commit install
.env.example
to .env.local
and set the appropriate values of the environment variables. The list of all environment variables along with their meanings can be found in ENV.mdnpm run serve
You can access the web app at http://localhost:8080/quiz/{quizId}?userId={userId}&apiKey={apikey}
. Here, {quizId}
should be replaced by a valid ID corresponding to an actual quiz created using the backend and {userId}
can be any valid user identifier. For now, there are no explicit checks in place for userId
. So, you can use any valid string (eg: 20
). Please contact the repository developers for {apiKey}
.
Copy .env.example
to .env.staging
and set the appropriate values of the environment variables.
Run the following command
npm run build -- --mode staging
Copy .env.example
to .env.production
and set the appropriate values of the environment variables.
Run the following command
npm run build
The actual deployment happens through Github Actions. Look at .github/workflows/deploy_to_s3_staging.yml
for understanding the deployment to Staging
and .github/workflows/deploy_to_s3_prod.yml
for Production
. Make sure to set all the environment variables mentioned in docs/ENV.md
in the Production
and Staging
environments in your Github repository.
npm run test:unit
To run unit tests for individual spec files (say, for Header component), use:
npm run test:unit -- Header.spec.ts
npx cypress run