/ Atlas

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Atlas BI Library | The unified report library.

Website • Demo • Documentation • Chat

Atlas business intelligence library plugs in to your existing reporting platforms, extracts useful metadata, and displays it in a unified report library where you can easily search for, document, and launch reports.

🏃 Getting Started

Atlas BI Library is built with .Net 8.0 and Node. \ Aside from those installs you will need to install ef core tools dotnet tool install -g dotnet-ef. \ These guide can be run with Visual Studio Code and the built in terminal.

• Get the code git clone git@github.com:atlas-bi/atlas-bi-library.git
• Install the project dependencies npm install and npm run dotnet:restore
• Create an appsettings.cust.json and appsettings.cust.Development.json as specified in the docs
• Initialize the database and create tables npm run db:update
• Run the ETL, or just insert your account name into the dbo.[User] username column.
• Finally, start up the website npm start

If this is your first time running a dotnet webapp, you will need to trust the cert with dotnet dev-certs https --trust \ Running npm start will build all the resources needed, start IISExpress, and then open your browser. \ Debugging code is simple. In Visual Studio Code, simply press f5 to activate breakpoints. Saving any file will trigger a rebuild.

🧪 Testing

Tests require two global dotnet tools.

dotnet tool install -g coverlet.console
dotnet tool install -g dotnet-reportgenerator-globaltool

• Install dependancies npm install and npm run dotnet:restore
• Run tests npm run test:dev

A hit/miss html report will be in the folder /coverage.

🚀 Deploy to IIS

Build the release with npm run dotnet:publish.

Copy the output of /out to the folder of your IIS site.

See the docs for aditional configuration and starting search.

🎁 Contributing

Contributions are welcome! Please open an issue describing an issue or feature.

This repository uses commitizen. Commit code changes for pr's with npm run commit.

🏆 Credits

Atlas was originally created and made open source by the Riverside Healthcare Analytics team. See the credits for more details.

🔧 Tools

Special thanks to a few other tools used here.