Run Service

Run Service

Start a knowledge-matchmaker service locally using its Docker image.

Usage

/run-service <service-name> or /run-service all

Port Assignments

Resolving the Docker image name

Each service's image name is defined by the docker-tag variable in its Packer config:

docker_tag=$(grep -oP 'docker-tag\s*=\s*"\K[^"]+' services/$0/infrastructure/packer/service.pkr.hcl)

Steps for Python services

1. Resolve the Docker image name from services/$0/infrastructure/packer/service.pkr.hcl.

2. Build the image if not already built:

   cd services/$0
   docker build -t ${docker_tag} .
   

3. Run the container on the assigned port:

   docker run -d \
     --name knowledge-matchmaker-$0 \
     -p $PORT:$PORT \
     -e PORT=$PORT \
     -e HOST=0.0.0.0 \
     ${docker_tag}
   

   Look up $PORT from the table above.

Steps for the frontend

1. Resolve the Docker image name from ui/knowledge-matchmaker-ui/infrastructure/packer/service.pkr.hcl.

2. Build and run:

   cd ui/knowledge-matchmaker-ui
   docker build -t ${docker_tag} .
   docker run -d \
     --name knowledge-matchmaker-ui \
     -p 3000:3000 \
     -e PORT=3000 \
     -e NEXT_PUBLIC_THINKING_EXTRACTOR_URL=http://localhost:28001 \
     -e NEXT_PUBLIC_CORPUS_INDEXER_URL=http://localhost:28002 \
     -e NEXT_PUBLIC_RELATIONSHIP_ENGINE_URL=http://localhost:28003 \
     ${docker_tag}
   

Running all services

If $0 is all, iterate over each service directory under services/, resolve its docker-tag, build and run each container. Then build and run the frontend. Report which containers are running and on which ports.

Stopping services

docker stop knowledge-matchmaker-$0 && docker rm knowledge-matchmaker-$0

Or to stop all:

docker ps --filter "name=knowledge-matchmaker-" -q | xargs docker stop | xargs docker rm

Source: svo/knowledge-matchmaker — distributed by TomeVault.