Skip to content

Latest commit

 

History

History
120 lines (72 loc) · 4.2 KB

README.md

File metadata and controls

120 lines (72 loc) · 4.2 KB
Raw

ViziQuer Tools

This repository contains scripts and initial data for starting your own copy of ViziQuer Tools as a set of interlinked containers.

This repository is just a glue + initial data; the tools themselves come from the following repositories:

For more information on the ViziQuer tools family, please visit viziquer.lumii.lv.

Requirements

You should have a Docker-compatible environment installed (e.g. Docker Desktop, Podman, OrbStack, ...).

Any Linux server with Docker components installed will also be sufficient, either on cloud or on-premise.

You should have some free disk space for the data and for container images.

Before First Start

Download this git repository, or clone it to a local directory of your choice.

Create a file .env as a copy of sample.env, and configure it to your preferences (ports, passwords, etc.)

Start/Stop the Tools

Start the Tools by issuing the commands:

cd viziquer-tools
docker-compose up -d

On the first start, the required images will be pulled from registries, and the databases will be populated with starter data.

To stop the Tools, issue the command

cd viziquer-tools
docker-compose down

Note: Depending on your version of container tools, instead of docker-compose ... you may need to use docker compose ....

Using ViziQuer Tools

ViziQuer Tools are available via any modern Internet browser via addresses http://localhost:%port%.

The following addresses are shown assuming you used the default ports provided in sample.env

You can connect to the ViziQuer via http://localhost:80

You can connect to the pgAdmin via http://localhost:9001; on first start you will be asked for the password for the rdfmeta user

The DSS instance API is available via http://localhost:9005

The Postgres server is available at localhost:5433

Populating the Data

Initially, two example schemas are included: Nobel_prizes and Starwars.

To add a schema for another endpoint, whether public or your own, follow these two steps:

  • extract the schema from the endpoint
  • import the schema into ViziQuer Tools

Note: these steps will be automated in one of the next releases.

Alternatively, existing schemas (e.g., created on other servers) can be uploaded.

Extracting the schema from the endpoint

To extract a schema from an endpoint, you should use OBIS-SchemaExtractor, version 2, and follow the instructions there.

Importing the schema into ViziQuer Tools

Once you have obtained a JSON file with the extracted schema, you need to import this JSON file into ViziQuer Tools.

Currently, to import the schema, use the importer module from the Data Shape Server repository.

Data schema uploading

An existing SQL database schema script (like the ones in ./db/init/pg directory) can be executed against the database instance to create a new schema. Manual updates of tables schemata and endpoints in the public schema are needed to make this information accessible from the visual environment.

(Re)starting from scratch

Data from the directories ./db/init/pg and ./db/init/mongo will be imported on first start of the system.

To restart later from scratch, remove the following directories:

  • ./db/pg to restart with a fresh DSS database content
  • ./db/mongo to restart with fresh content of ViziQuer projects database

and then restart the Tools, as in the following commands:

cd viziquer-tools
docker-compose down
rm -rf db/pg
docker-compose up -d

Updating components

cd viziquer-tools
docker-compose down
docker-compose pull
docker-compose up -d

Uninstalling ViziQuer Tools

Just delete the directory ./viziquer-tools with all its subdirectories.

Note: Don't forget to export your project data before uninstalling ViziQuer Tools.