=================================================== 3 Separate web projects running on a common Nodejs backend, created and designed by a select group of SFU ComSci, SIAT and Business students during the summer of 2012. The goal of these projects is to develop new applications for learning that fit well into a mobile context.
Accent: A video uploading and tagging service that allows users to tag segments of lecture videos and share these tagged segments with other users.
Engage: An online resource sharing service that enables students to share various web resources such as online news articles.
RealQuestionsRealAnswers: A question and answering site where students can post questions related to courses they are enrolled in and other students or instructors can answer their questions.
below are the instructors for checking out the project and getting it to run on your local machine:
- checkout the git repository
- install node packages
- navigate the root directory of the project and type: "npm install"
- install, configure and start the required 3 database servers
- elastic search
- redis
- mysql
- update the config file
- make a copy of the file config.json.defaults and name it config.json
- update the settings in the config file to match the settings of the previously installed databases
- run database creation and test data insertion scripts
- mysql:
- to remove any previous mysql tables run: "node database/drop-db.js"
- to create new mysql tables run: "node database/create-db.js"
- to insert the test data found in test-data.json run: "node database/insert-data.js"
- elastic search
- to remove all and re-insert test data from qs.json simply run: "node database/es-insert.js"
- redis
- to insert data run: "node database/dict_to_db.js"
- at this pointer you are ready to run any of the three servers. Each server has its own run file which can be run with: "node run_.js"
- to view the project open a web browser to: "http://localhost:/" (note: the port number of each project is defined in the config.json file)
One resource we found helpful for viewing the contents of a running elastic search server is the follow elastic search browser base UI interface: