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image-service Build Status

This Grails application provides the webservices and backend for the storage of all images in the Atlas. It includes:

  • Support for large images, generation of thumbnails and tile views
  • Extensible key/value pair storage for image metadata
  • Support for subimaging and maintaining the relationships between parent and child images
  • Exif extraction
  • Tile view for large images compatible with GIS Javascript clients such as LeafletJS, OpenLayers and Google Maps
  • Web services for image upload
  • Generate of derivative images for thumbnail presentation
  • Tagging support via webservices
  • Administrator console for image management
  • Swagger API definition
  • Integration with google analytics to monitor image usage by data resource
  • Support for image storage in S3, Swift
  • Support for batch uploads with AVRO

There are other related repositories to this one:

  • images-client-plugin - a grails plugin to provide a Javascript based viewer to be used in other applications requiring a image viewer. This viewer is based on LeafletJS.
  • image-tiling-agent - a utility to run tiling jobs for the image-service. This is intended to used on multiple machine as tiling is CPU intensive and best parallelised.
  • image-loader - utility for bulk loading images into the image-service.

Upgrading from 1.0

Please see the Upgrading from 1.0 to 1.1 wiki page before upgrading an image-service 1.0 or earlier installation to the latest version.

Architecture

  • Grails 3 web application ran as standalone executable jar
  • Open JDK 8
  • Postgres database (9.6 or above)
  • Elastic search 7
  • Debian package install

Installation

There are ansible scripts for this applications (and other ALA tools) in the ala-install project. The ansible playbook for the image-service is here

You can also run this application locally by following the instructions on its wiki page

Running it locally

Postgres

There is a docker-compose YML file that can be used to run postgres locally for local development purposes. To use run:

docker-compose -f postgres.yml up -d

And to shutdown

docker-compose -f postgres.yml kill

Elastic search

There is a docker-compose YML file that can be used to run elastic search locally for local development purposes. To use run:

docker-compose -f elastic.yml up -d

And to shutdown

docker-compose -f elastic.yml kill

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