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Friction Report AWS S3 Deployment

This project was generated with Angular CLI version 16.0.1. It also uses node 18.16.0 LTS.

This is the frontend for Friction Report. I was jealous of Sendex, and wanted to make my own climbing weather report for areas a bit closer to home.

Backend

The code for the Friction Report backend is built using Java Spring Boot 3 and is available here.

Install and Run

I highly recommend using nvm to manage your versions of node.

Once the correct version of node is installed, angular cli needs to be installed:

npm install -g @angular/cli

and then the various dependencies need to be installed:

npm install

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.

Feedback / Contributions

I welcome all feedback or code improvements. I do lots wrong (even more so on frontend work) and am always looking to learn.

The issue tracker is the preferred channel for bug reports, features requests, and submitting pull requests.

Future Plans / Wishful Thinking

  • Total precipitation over the last x day/hours so that you can better judge rock conditions
  • Come up with a better formula for the sendex that explicitly takes into account precipitation
    • Would help establish what a good score actually is other than a vague ~100 is good

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