The chronontology backend (formerly known as jeremy) provides access to underlying datastores via its REST api. Detailed information on the REST api can be found here.
Gradle Version 2
For the Component and Integration Tests to run, type in
gradle clean test
To build the application, type in
gradle clean shadowJar
The binary with dependencies can be found here:
build/libs/jeremy.jar
For development the application can be run with
gradle run
The application can be used in two modes. In "connect" and in "single" mode. While in "single" mode a single datastore is used, in "connect" mode two datastores are used, one for storing the authoritative versions and one for sharing these data with other applications, so that they can get enriched by the yet to be developed "connect" component.
Also make sure to check out the Rest Api Reference!
Depending on which configuration you want, and also for configuring other application details, you have to have a config file at application startup.
config.properties
You can find one here. Make sure you revise the settings before startup!
For information on how to configure the abovementioned datastores, have a look at the datastore configuration reference.
In any case, the application will need access to at least one elasticsearch instance in order to work. You can either use an external elasticsearch instance on any machine you have access to or you can launch the application with an embedded elasticsearch server. Information on how to configure the application can be found at the elasticsearch server configuration reference.
Note that you may need type mappings for every type used. So make sure you didn't forget to add the mapping to the period type!
(Un-)comment the appropriate lines in ./src/main/resources/log4j.properties and make sure the server has write access to the specified file.
To run the application, you need the binary, which can get executed like this:
java -jar jeremy.jar
Execution of the main method starts an embedded jetty server.
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