{"id":31624856,"url":"https://github.com/learning-layers/sar-hr","last_synced_at":"2026-06-30T05:32:27.892Z","repository":{"id":30431165,"uuid":"33984150","full_name":"learning-layers/sar-hr","owner":"learning-layers","description":"Back-end for the Social Augmented Reality HR component. 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If you haven’t already, install [Vagrant](https://www.vagrantup.com) and\n   [VirtualBox](https://www.virtualbox.org). The easiest way on OS X is to use\n   [Homebrew Cask](http://caskroom.io):\n\n   ```sh-session\n   $ brew cask install vagrant virtualbox\n   ```\n\n2. Clone the repository and `cd` into it:\n\n  ```sh-session\n  $ git clone https://github.com/learning-layers/sar-hr.git\n  $ cd sar-hr\n  ```\n\n3. Start the Vagrant box using `vagrant up`. This first run will take a few\n   minutes, so grab a coffee in the meantime!\n\n4. When done, point your API client to \u003chttp://10.11.12.13:9292\u003e. Simples!\n\n### Running commands ###\n\nTo run commands within the development environment, use `vagrant ssh`:\n\n```sh-session\n$ vagrant ssh   # SSH into the virtual machine\n$ cd /vagrant   # Change directory to the project root\n$ rake stats    # Do whatever (e.g. show stats about the project)\n```\n\nThe following commands should be run in the development environment.\n\n#### Serving for development ####\n\nThe Vagrant box starts automatically serving the app at\n\u003chttp://10.11.12.13:9292\u003e when started. It’s an Upstart service:\n\n```sh-session\n$ sudo service rails status\n```\n\nIf you want to do it manually, remember to allow connections from the host. The\neasiest way is to bind to `0.0.0.0`.\n\n```sh-session\n$ rails s -b 0.0.0.0\n```\n\n#### Running tests ####\n\n`rake` is configured to use `rspec` behind the scenes.\n\n```sh-session\n$ rake\n```\n\nCoverage reports are generated into `./coverage`. They’re static HTML, so you\ncan just open them in your browser.\n\n### Licence ###\n\n```\nThe MIT License (MIT)\n\nCopyright © 2015 Aalto University\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of\nthis software and associated documentation files (the \"Software\"), to deal in\nthe Software without restriction, including without limitation the rights to\nuse, copy, modify, merge, publish, distribute, sublicense, and/or sell copies\nof the Software, and to permit persons to whom the Software is furnished to do\nso, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n```\n\n[build-badge]: https://img.shields.io/circleci/project/learning-layers/sar-hr.svg\n[build]: https://circleci.com/gh/learning-layers/sar-hr\n\n[coverage-badge]: https://img.shields.io/codecov/c/github/learning-layers/sar-hr.svg\n[coverage]: http://codecov.io/github/learning-layers/sar-hr\n\n[climate-badge]: https://img.shields.io/codeclimate/github/kabisaict/flow.svg\n[climate]: https://codeclimate.com/github/learning-layers/sar-hr\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flearning-layers%2Fsar-hr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flearning-layers%2Fsar-hr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flearning-layers%2Fsar-hr/lists"}