model-backend

README

model-backend

model-backend manages all model resources including model definitions and model instances within Versatile Data Pipeline (VDP) to convert the unstructured data to meaningful data representations.

Local dev

On the local machine, clone vdp repository in your workspace, move to the repository folder, and launch all dependent microservices:

$ cd <your-workspace>
$ git clone https://github.com/instill-ai/vdp.git
$ cd vdp
$ make dev PROFILE=model

Clone model-backend repository in your workspace and move to the repository folder:

$ cd <your-workspace>
$ git clone https://github.com/instill-ai/model-backend.git
$ cd model-backend

Build the dev image

$ make build

Run the dev container

$ make dev

Now, you have the Go project set up in the container, in which you can compile and run the binaries together with the integration test in each container shell.

Run the server

$ docker exec -it model-backend /bin/bash
$ go run ./cmd/migration
$ go run ./cmd/init
$ go run ./cmd/main

Run the Temporal worker

$ docker exec -it model-backend /bin/bash
$ go run ./cmd/worker

Run the integration test

$ docker exec -it model-backend /bin/bash
$ make integration-test

Stop the dev container

$ make stop

CI/CD

The latest images will be published to Docker Hub repository at release.

License

See the LICENSE file for licensing information.