In this lab, you'll be working to re-implement the ToDO API, this time pulling data from a Mongo Database rather than a flat JSON file. You will also be implementing a new summary API which returns results of processing ToDO data. You will also be implementing a simple client-side application to view this data.
As in the previous lab, you'll be using IntelliJ. Once you've all joined your group using GitHub classroom, you can clone your repository using IntelliJ:
- When prompted to create a new IntelliJ project, select yes.
- Select import project from existing model and select Gradle.
- Make sure Use default Gradle wrapper is selected.
- Click Finish.
- The familiar run Gradle task will still run your SparkJava server.
(which is available at
localhost:4567) - The build task will still build the entire project (but not run it)
- The runClient task will build and run the client side of your project (available at
localhost:9000)
The major difference between this lab and lab #3 is that, here, your data (users and todos) will be stored in a database rather than as "flat" JSON files within the server source code.
For the most part, you will be using a local installation of Mongo as a test database. You don't really need to worry about how this is set up, but you do need to know a couple of tricks to help you use it:
- To load new seed data into your local test database, use the gradle task: seedMongoDB.
- Seed data is stored in the aptly named JSON files.
This things are mostly the same as they were in Lab #3.
Turn on your repo in Travis CI, replace the build status image in this README, and push your changes. That will trigger a build with Travis.