Multi-container application providing a UI and GraphQL API to search museum names and locations.

• Filter the search results in the list and map UI using a keyword search.

• Zoom in on the map to get museum counts by more precise areas and see labeled pins on the map for individual museums.

• Hover over a museum item on the list to highlight that museum on the map. Click on the list item to zoom the map to that museum.

This application runs on a multi-container stack including:

• Front-end: My TypeScript/React application with a list+map UI using react-apollo to query the back-end.
• Back-end: My TypeScript/Node.js application using apollo-server to provide a GraphQL API for searching museums.
• ElasticSearch: A third-party search engine I use to search+filter museums by keyword and geospatial criteria.

This repo uses Travis for continuous integration and continuous delivery.

On every commit and pull request, Travis runs the test suite, and reports success/failure and test coverage. It sends the test reports to CodeClimate, which provides code quality analysis and test coverage reports.

On every tagged commit to master, Travis builds and pushes the API and client docker images to Docker Hub with the Git tag as the Docker tag.

API Docker image

Client Docker image

From this repo's top directory, run:

docker-compose up

This will launch the application with no data.

This can be done while the app is running.

1. Get "museums.csv" from https://www.kaggle.com/imls/museum-directory
2. Put museums.csv in the "data" directory at the top of this repo.
3. From this repo's top directory, run:

docker-compose run -e MUSEUMS_CSV=/data/museums.csv museum-api-migrate

• Note: The "/data/museums.csv" in this command refers to a path inside the museum-api-migrate container, but the "data" directory in this path is a volume that links to this repo's "data" directory. This is how the museum-api-migrate container can read the csv file that is pasted into this repo's data directory.

Go to <dockerhost> in your browser, where <dockerhost> is the host IP running docker. This could be localhost, or 192.168.99.100 for docker-machine on Windows.

Go to <dockerhost>:4000 in your browser, where <dockerhost> is the host IP running docker. This could be localhost, or 192.168.99.100 for docker-machine on Windows.