FraunhoferIOSB / EDC-Extension-for-AAS-Dashboard

This fork of the EDC DataDashboard is adapted to support the EDC AAS Extension. It allows consumers and providers graphical configuration/usage of the EDC AAS Extension.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

EDC Data Dashboard

This UI simplifies usage of the EDC Extension for AAS: https://github.com/FraunhoferIOSB/EDC-Extension-for-AAS
You can provide or request AAS graphically instead of using the API.

Usage with EDC4AAS Extension

The following fields could be required for the connection of the dashboard with the EDC4AAS Extension, add them in the EDC configuration:

edc.web.rest.cors.enabled = true
edc.web.rest.cors.origins = *
edc.web.rest.cors.headers = x-api-key, content-type
edc.web.rest.cors.methods = GET, POST, DELETE, PUT, OPTIONS

To start the Dashboard with Node.js:

npm install
npm run start

Also, the default x-api-key of the extension should be set as password Please note: This repository does not contain production-grade code and is only intended for demonstration purposes.

EDC Data Dashboard is a dev frontend application for EDC Management API.

Documentation

Developer documentation can be found under docs/developer, where the main concepts and decisions are captured as decision records.

Running the frontend locally

Should you want to run the frontend on your development machine, you'll have to configure some backend values. Those are stored in app.config.json, and by default contain the following:

{
  "managementApiUrl": "{{managementApiUrl}}",
  "catalogUrl": "{{catalogUrl}}",
  "storageAccount": "{{account}}",
  "storageExplorerLinkTemplate": "storageexplorer://v=1&accountid=/subscriptions/{{subscriptionId}}/resourceGroups/{{resourceGroup}}/providers/Microsoft.Storage/storageAccounts/{{account}}&subscriptionid={{subscriptionId}}&resourcetype=Azure.BlobContainer&resourcename={{container}}",
}

Substitute the values as necessary:

  • apiKey: enter here what your EDC instance expects in th x-api-key header
  • catalogUrl: prepend your connector URL, e.g. http://localhost, assuming your catalog endpoint is exposed at port 8181, which is the default
  • managementApiUrl: prepend your connector URL, e.g. http://localhost, assuming your IDS endpoint is exposed at port 9191
  • storageAccount: insert the name of an Azure Blob Storage account to which the connector has access, otherwise data transfers won't work.

Be extra careful NOT to commit those changes, as they might leak potentially sensitive information!!!

As some extra safety consider running git udpate-index --assume-unchanged src/assets/config/app.config.json before changing this file.

Running a frondend and two connectors locally (for demo purpose)

To test the correct functionality locally you can spin up a local docker compose that will load two data-dashboards service and two connectors, one for consumer and one for provider.

Just start the docker compose.

docker compose up

Consumer data-dashboard will be available at http://localhost:18080 Provider data-dashboard will be available at http://localhost:28080

Running DataDashboard from the host machine (for debugging purpose)

To have a quicker development cycle, you can also run the DataDashboard from the host machine using npm start, sending request against the connector loaded by docker compose. First you need to change the app.config.json this way:

{
  ...
  "managementApiUrl": "http://localhost:4200/management",
  "catalogUrl": "http://localhost:4200/management",
  ...
}

Then start the local DataDashboard:

npm start

The DataDashboard will be available at http://localhost:4200

Deploy to Azure

Create a resource group and container registry:

export RESOURCE_GROUP=edc-data-dashboard
export ACR_NAME=edcdatadashboard
az group create --resource-group $RESOURCE_GROUP --location westeurope -o none
az acr create --resource-group $RESOURCE_GROUP --name $ACR_NAME --sku Standard --location westeurope --admin-enabled -o none

Dockerize the application and push it to the registry by running:

az acr build --registry $ACR_NAME --image edc-showcase/edc-data-dashboard:latest .

The docker image is now ready to be deployed to Azure Container Instances (ACI). The app.config.json file contains configuration which is fetched by the application at startup. This file can be overridden at deployment time by mounting a secret on assets/config. For each deployment you need to provide the corresponding connector backend URL, the storage account name and the API key using this secret. Deploy to ACI using the following command:

export CONNECTOR_DATA_URL=<CONNECTOR_DATA_URL>
export CONNECTOR_CATALOG_URL=<CONNECTOR_CATALOG_URL>
export STORAGE_ACCOUNT=<STORAGE_ACCOUNT>
export API_KEY=<API_KEY>

# deploy to ACI (when prompted for credentials use the username/password as available in Azure Portal: ACR->Access Keys)
az container create --image ${ACR_NAME}.azurecr.io/edc-showcase/edc-data-dashboard:latest \
--resource-group $RESOURCE_GROUP \
--name edc-data-dashboard \
--secrets "app.config.json"="{\"managementApiUrl\": \"$CONNECTOR_DATA_URL\", \"catalogUrl\": \"$CONNECTOR_CATALOG_URL\", \"storageAccount\": \"$STORAGE_ACCOUNT\", \"apiKey\": \"$API_KEY\"}" \
--secrets-mount-path /usr/share/nginx/html/assets/config \
--dns-name-label edc-data-dashboard

Contributing

See how to contribute for details.

About

This fork of the EDC DataDashboard is adapted to support the EDC AAS Extension. It allows consumers and providers graphical configuration/usage of the EDC AAS Extension.

License:Apache License 2.0


Languages

Language:TypeScript 66.7%Language:HTML 23.2%Language:SCSS 5.9%Language:JavaScript 1.2%Language:Java 1.0%Language:Shell 0.9%Language:HCL 0.7%Language:Dockerfile 0.5%