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Message sink used for end-to-end testing the LDES components created as part of the VSDS project.

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Informatievlaanderen/VSDS-LDES-E2E-message-sink

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Test Message Sink

This small HTTP server captures messages containing LDES members and stores them in memory or a persistent store (currently only MongoDB).

Docker

The sink can be run as a Docker container, using a pre-built container or after creating a Docker image for it locally. The Docker container will keep running until stopped.

To create a Docker image, run the following command:

docker build --tag vsds/test-message-sink .

You can use a MongoDB as a member store. Please ensure you run a MongoDB instance locally or use an online instance. Configure the Docker container to use that instance or configure and use the Docker compose file that has been provided. Alternatively you can use an in-memory database (simple object store).

To run the sink Docker image mapped on port 9000 using a MongoDB, you can use:

docker run -d -p 9000:80 --add-host=host.docker.internal:host-gateway \
-e MEMBER_TYPE="http://schema.org/Person" -e COLLECTION_NAME="cartoons" \
-e CONNECTION_URI="mongodb://host.docker.internal:27017" -e DATABASE_NAME="test" \
vsds/test-message-sink

Alternatively, with an in-memory database:

docker run -d -p 9000:80 --add-host=host.docker.internal:host-gateway \
-e MEMBER_TYPE="http://schema.org/Person" -e COLLECTION_NAME="cartoons" \
-e MEMORY=true \
vsds/test-message-sink

The Docker run command will return a container ID (e.g. 0cc5d65d8108f8e91778a0a4cdb6504a2b3926055ce10cb899dceb98db4c3eef), which you need to stop the container.

Alternatively you can run docker ps to retrieve the (short version of the) container ID.

CONTAINER ID   IMAGE                   COMMAND                  CREATED          STATUS          PORTS                  NAMES
0cc5d65d8108   vsds/test-message-sink   "/usr/bin/dumb-init …"   12 seconds ago   Up 11 seconds   0.0.0.0:9000->80/tcp   intelligent_bell

To stop the container, you need to call the stop command with the (long or short) container ID, e.g. docker stop 0cc5d65d8108

Docker compose

For your convenience a Docker compose file is provided containing the client sink and a MongoDB store, and a .env file with environment variables used for building and running the containers. The sink variables typically need tuning for your use case. The easiest way to provide these is to copy the .env file into a file named user.env and change the variables as required. Then you can run the following command to build and run the Docker containers:

docker compose up

Build

The sink is implemented as a Node.js application. You need to run the following commands to build it:

npm i
npm run build

Run

The sink uses a MongoDB as permanent storage to allow for large data sets, so before running the sink, make sure your MongoDB instance is running.

The sink takes the following command line arguments:

  • --member-type defines the member type to use to determine the member's ID (subject value), no default
  • --port=<port-number> allows to set the port, defaults to 9000
  • --host=<host-name> allows to set the hostname, defaults to localhost
  • --silent=<true|false> prevents any console debug output if true, defaults to false (not silent, logging all debug info)
  • --connection-uri allows to set the MongoDB connection URI, defaults to mongodb://localhost:27017
  • --database-name allows to set the MongoDB database name, defaults to ldes_client_sink
  • --collection-name allows to set the MongoDB collection name, defaults to members
  • --memory allows to use an in-memory database for smaller data sets instead of MongoDB, defaults to false

You can run the sink with one of the following command after building it:

node ./dist/server.js --member-type "http://schema.org/Person" --collection-name cartoons --memory true

This results in:

Arguments:  {
  _: [],
  'member-type': 'http://schema.org/Person',
  'collection-name': 'cartoons'
}
Sink listening at http://127.0.0.1:9000

Usage

The sink server accepts the following REST calls.

GET / -- Retrieve Number of Ingested Members

Returns the number of members received, e.g.

curl http://localhost:9000/

returns:

{"cartoons":{"total":0}}

POST /member -- Ingest Members

Ingests a member as turtle (mime-type: text/turtle), Tri-G (mime-type: application/trig), quads (mime-type: application/n-quads) or as triples (mime-type: application/n-triples) and returns the member ID (URI), e.g.

curl -X POST http://localhost:9000/member -H "Content-Type: application/trig" --data-binary "@data/donald-duck.trig"

OR

curl -X POST http://localhost:9000/member -H "Content-Type: text/turtle" --data-binary "@data/donald-duck.ttl"

OR

curl -X POST http://localhost:9000/member -H "Content-Type: application/n-quads" --data-binary "@data/donald-duck.nq"

OR

curl -X POST http://localhost:9000/member -H "Content-Type: application/n-triples" --data-binary "@data/donald-duck.nt"

returns:

http://example.org/id/cartoon-figure/donald-duck

GET /member -- Get Member List

Returns the (limited) list of members (as local URLs), e.g.

curl http://localhost:9000/member

returns (formatted for readability):

{
  "cartoons": {
    "total": 1,
    "count": 1,
    "members": [
      "/member?id=http%3A%2F%2Fexample.org%2Fid%2Fcartoon-figure%2Fdonald-duck"
    ]
  }
}

GET /member?id=<url-encoded-member-id> -- Get Member Content

Returns the member content as quads (if ingested with mime-type: application/n-quads), e.g.

curl "http://localhost:9000/member?id=http%3A%2F%2Fexample.org%2Fid%2Fcartoon-figure%2Fdonald-duck"

returns (formatted for readability):

<http://example.org/id/cartoon-figure/donald-duck> <http://schema.org/name> "Donald Duck" <http://example.org/disney>.
<http://example.org/id/cartoon-figure/donald-duck> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://schema.org/Person> <http://example.org/disney>.

DELETE /member -- Remove all Members

Removes all members, e.g.

curl -X DELETE http://localhost:9000/member

Returns the amount of members deleted:

{"count":1}

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Message sink used for end-to-end testing the LDES components created as part of the VSDS project.

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