https://github.com/Sparrow0hawk/mynearestleedsmarginal

R Shiny web app getting volunteers to marginal seats
https://github.com/Sparrow0hawk/mynearestleedsmarginal

docker-container google-cloud labour labour-party leaflet mobilisation shiny

Last synced: about 2 months ago
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R Shiny web app getting volunteers to marginal seats

• Host: GitHub
• URL: https://github.com/Sparrow0hawk/mynearestleedsmarginal
• Owner: Sparrow0hawk
• License: mit
• Created: 2019-06-26T19:33:18.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2023-09-03T18:33:29.000Z (about 1 year ago)
• Last Synced: 2024-06-05T02:31:31.343Z (4 months ago)
• Topics: docker-container, google-cloud, labour, labour-party, leaflet, mobilisation, shiny
• Language: R
• Homepage: http://www.mynearestleedsmarginal.com
• Size: 75.8 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - Sparrow0hawk/mynearestleedsmarginal - R Shiny web app getting volunteers to marginal seats (R)

README

        
# mynearestleedsmarginal Shiny app

This is the [mynearestleedsmarginal app](https://mynearestleedsmarginal.com).

Inspired by Momentum's 2017 [mynearestmarginal.com](https://mynearestmarginal.com/), this project is an R Shiny applications that identifies your nearest marginal council ward in Leeds local authority.

## Docker container

If you have [Docker](https://www.docker.com/) installed this app can be built into a Docker container using the command:

```bash

cd mynearestleedsmarginal2019/

docker build . -f dockerfiles/Dockerfile -t mynearestleedsmarg:latest

```

You can run the container with the command:

```bash

docker run --rm -p 3838:3838 mynearestleedsmarg:latest

```

With the container running you can navigate to `http://localhost:3838` in a web browser to view/interact with the app.

### Deploying to Google Cloud Run

You can deploy this app to Google Cloud with a properly configured [gcloud SDK](https://cloud.google.com/sdk/docs/install) using the following commands:

```bash

# submit the docker container to your private google cloud container registry

gcloud builds submit --tag gcr.io/$(gcloud config get-value project)/mynearestleedsmarg --timeout=60m

# deploy the container image to google cloud run

gcloud run deploy --image gcr.io/leeds-app-2-serverless/mynearestleedsmarg --platform managed --port=3838

```