Medical Information Assistant (MIA) is a service-oriented application that allows users to document their personal medical information in a customizable and intuitive way.
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Table of Contents
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Clone the repo:
git clone git@github.com:Medical-Information-Assistant-MIA/MIA-BE.git
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Install gems:
bundle install
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To establish the database, run:
rails db:create
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Since this is the back-end repository, a database migration is also necessary, run:
rails db:migrate
Inspect the /db/schema.rb
and compare to the 'Schema' section below to ensure this migration has been done successfully.
Once MIA-BE
is correctly installed, run tests locally to ensure the repository works as intended.
To test the entire RSpec suite, run:
bundle exec rspec
All tests should be passing if the installation was successful.
If any tests are not passing, please report which tests are not passing Here. We will issue an update/fix as soon as possible.
Current endpoint documentation exists in the Postman Mock Server.
MIA was crafted to satisfy the requirements for The Turing Mod 4 Capstone Project. See the official project requirements here.
- Use an agile process to turn well-defined requirements into deployed and production-ready software.
- Gain experience dividing applications into components and domains of responsibilities to facilitate multi-developer teams. Service-oriented architecture concepts and patterns are highly encouraged.
- Explore and implement new concepts, patterns, or libraries that have not been explicitly taught while at Turing.
- Practice an advanced, professional git workflow including a Pull Request Review.
- Gain experience using continuous integration tools to build and automate the deployment of features.
- Build applications that execute in development, test, CI, and production environments.
- Add additional querying options for more user-friendly trend data representation.
- Utilize caching for optimization.
- Focus on communication between front-end and back-end teams to complete and deploy features outlined by the project spec.
- Add user authentication/authorization.
- Utilize caching for optimization.
- Containerize the application via Docker.
- Add additional querying options for more user-friendly trend data representation.
- Add a microservice that consumes an external API for medication information.
- Deploy the application to another service such as Amazon or Digital Ocean.
Brad Dunlap | Chris Crane | Kara Jones-Hofmann | Matt Enyeart | Tori Enyart |
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GitHub |
GitHub |
GitHub |
GitHub |
GitHub |
- Brian Zanti
- Daniel Starling