If you want to utilize some components separately, you may lift docker containers with the components of interest.
If the components are utilized in main distribution,
you may utilize proxy containers – on our servers we lift components of the main distribution to be available for
all users.
So, if you want to use a component available as a proxy container, you may lift this container container-name
using the following command:
docker-compose -f docker-compose.yml -f assistant_dists/dream/docker-compose.override.yml -f assistant_dists/dream/dev.yml -f assistant_dists/dream/proxy.yml up --build container-name
If you want to lift the container locally (on your machine), use the following command:
docker-compose -f docker-compose.yml -f assistant_dists/dream/docker-compose.override.yml -f assistant_dists/dream/dev.yml up --build container-name
After that you may find the folder (find in assistant_dists/dream/docker-compose.override.yml)
and python test file for this component as a reference how to address it.
Let us show how to utilize Entity Detection component. I look into assistant_dists/dream/pipeline_conf.json file to find
entity_detection component in a pipeline and the corresponding container name entity-detection.
So, I lift the container entity-detection using proxy:
docker-compose -f docker-compose.yml -f assistant_dists/dream/docker-compose.override.yml -f assistant_dists/dream/dev.yml -f assistant_dists/dream/proxy.yml up --build entity-detection
Then I look into assistant_dists/dream/docker-compose.override.yml and
find the corresponding folder annotators/entity_detection/. I look into the folder and find a python test file
annotators/entity_detection/test_entity_detection.py. The way to send requests to entity-detection is following:
import requests
requests.post("http://0.0.0.0:8103/respond", json={"sentences": [["what is the capital of russia?"]]})
The port 8103 is available outside the container because of the port’s mapping in assistant_dists/dream/dev.yml.