Locally, the service runs on port 8003. To start it,

• first, run the following command for some preparations:

  make

  This will create a virtual environment and install all dependencies.

• After that, configure the used virtual environment:

  source venv/bin/activate

  If you use an IDE, you can also configure the virtual environment there. In PyCharm, you can even go to File > Open, choose the embedding folder and then choose the Attach option.

• Then, you can start the embedding server using python start.py or using your IDE.

Use the docker-compose.yml file from the parent directory to start the embedding service (and all others) with Docker.

Configurable environment variables:

• BALANCER_QUEUE_FREQUENCY
• BALANCER_GETTASK_URL
• CHUNK_SIZE
• BALANCER_SENDRESULT_URL

The following API-routes will be available after start: http://localhost:8002/trigger

Input example JSON for POST on http://localhost:8001/embed

{
  "courseId" : "1234",
  "blocks": [
    {
    "id" : 1,
    "text" : "This is the first text block."
    },
    {
    "id" : 2,
    "text" : "and this is the second one"
    }
  ]
 }

Input example JSON for POST on http://localhost:8001/upload

{
  "courseId" : "1234",
  "fileName" : "file.pdf",
  "fileData" : "a21s5d5sqa354a34575"
 }