Graphdb-workbench NPM

graphdb-workbench

The web application for GraphDB APIs

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Setup Environment

Checkout or clone the project.
Enter the project directory and execute npm install in order to install all needed dependencies locally.

Development

Developers guide

https://ontotext-ad.github.io/graphdb-workbench/developers-guide

Dev server

Running npm run start will bundle application and vendor code in memory and start a webpack development server and proxy requests to localhost:7200 (default).

Testing

Acceptance/functional tests

Cypress is used as a framework for writing functional tests which cover concrete UI components as well as whole acceptance scenarios. The tests are executed against a GraphDB version as defined in package.json#versions.graphdb which is run in a docker container.

Some tests may require a GraphDB Enterprise Edition license file. The file must be named graphdb.license and put in the test-cypress/fixtures folder. In case you don't have such license, you can ignore the failing tests.

There are two options for running the tests. One is a headless execution and the second is through the Cypress's dashboard application. Follow the steps described below:

Ensure a GraphDB instance is running on localhost:7200. One can be run by executing docker-compose up in the graphdb-workbench/test-cypress folder. Check path directory which is set with -Dgraphdb.workbench.importDirectory property when server is started. The folder with this path have to contains all files from "fixture/graphdb-import"
In graphdb-workbench folder execute npm run start to build and run the workbench web application. In result, it is published and served by webpack's web dev server.
In terminal, go in graphdb-workbench/test-cypress folder and choose one of the options below: Execute npm run test - this will run the test suite in a headless mode and the outcome log will be seen in the terminal. Execute npm run start or the equivalent npx cypress open - this will open the Cypress's dashboard application through which the tests can be run one by one or altogether and observing the outcome in the dashboard.

There is a separate acceptance tests suite containing some flaky tests which often fail on CI. That's why these are moved in the integration-flaky suite which is doesn't run on CI and is responsibility of the developer to run them manually before the commit.
The flaky test suite can be run similarly to the normal test suite but using following commands: npm run start:flaky for browser mode or npm run test:flaky for a headless mode.

Release and publish

The workbench is regularly published as a package in the NPM registry.

Build

Application can be built by executing the npm run build command. In result, the application is bundled, less files are processed and the code is minified. The result of the build command is emitted in the /dist folder. When the workbench is published, only the /dist folder gets published in the NPM registry. This is configured in package.json#files property.

Deploying

Standalone (Docker)

The repo includes sample Dockerfile that configures NGiNX for serving the workbench and proxying requests to a GraphDB endpoint. This is configurable via the GRAPHDB_URL environment variable. Example:

docker run -d -p 8080:80 -e GRAPHDB_URL=10.131.2.176:7200 graphdb-workbench

Local development

For ease of use in local development with a locally running GraphDB at localhost:7200, there is also a Docker compose that can be built and started with docker-compose up --build. The compose requires to have .env file in the root directory of the project where the HOST_IP environment variable must be specified, e.g. HOST_IP=10.131.2.176. This is needed to proxy requests to locally running GraphDB.

Using GraphDB distribution

GraphDB exposes a configuration param -Dgraphdb.workbench.home for overriding the bundled workbench. This allows to easily point it to the dist/ folder of the workbench after it has been bundled with npm run build.

Note: Wrongly configuring the parameter will result in GraphDb responding with HTTP 404.

GraphDB Docker distribution

The Docker distribution of GraphDB can also be configured to serve custom workbench, the only difference is that the workbench must be mounted, example:

docker run -d \
    -p 7200:7200 \
    -v /graphdb-workbench/dist:/workbench docker-registry.ontotext.com/graphdb-free:9.0.0 \
    -Dgraphdb.workbench.home=/workbench

Note: Instead of mounting the workbench, this can be done in a custom Docker image using the GraphDB one as a base and then copy the custom workbench.