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A tool to analyse all CSE courses and find links between courses and concepts

Shell 0.67% JavaScript 12.54% Python 85.08% CSS 0.40% HTML 0.85% Dockerfile 0.45%

cse-curriculum-analysis_andrew's Introduction

CSE Curriculum Analysis

Research Thesis 2020 - Terry Agapitos (z5162173)

Running

Running everything locally

$ docker-compose up --build

Then navigate to http://localhost:80

For development (hotloading)

db

docker-compose -f docker-compose-local.yml up --build to boot up the database.

server

$ cd server
$ pipenv shell
$ cd api
$ flask run

front end

Change URL in api.js

$ cd client
$ npm install
$ npm run dev # development

For deployment

Get dump.pgdata and put it in the server/database directory. Also, get .env.prod and put it in the root directory.

Then from the root directory, run:

$ docker-compose up --build
# Then, in another terminal shell, run the following command.
# this command will populate the database.
$ docker exec cse-curriculum-analysis_db_1 sh -c "pg_restore -C -d postgres dump.pgdata"

This only needs to be done once

cse-curriculum-analysis_andrew's People

Contributors

terryag avatar jinan-dangor avatar

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