pipeline-backend

README

pipeline-backend

pipeline-backend manages all pipeline resources within Visual Data Preparation (VDP) to streamline data from a source connector to models, and to a destination connector at the end.

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=pipeline

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

$ cd <your-workspace>
$ git clone https://github.com/instill-ai/pipeline-backend.git
$ cd pipeline-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 pipeline-backend /bin/bash
$ go run ./cmd/migration
$ go run ./cmd/main

Run the Temporal worker

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

Run the integration test

$ docker exec -it pipeline-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.