cr_build_upload_gcs {googleCloudRunner}

Create a StorageSource

Description

This creates a StorageSource object after uploading to Google Cloud Storage

Usage

cr_build_upload_gcs(
  local,
  remote = paste0(local, format(Sys.time(), "%Y%m%d%H%M%S"), ".tar.gz"),
  bucket = cr_bucket_get(),
  predefinedAcl = "bucketOwnerFullControl",
  deploy_folder = "deploy"
)

cr_buildstep_source_move(deploy_folder)

Arguments

local

Local directory containing the Dockerfile etc. you wish to deploy

remote

The name of the folder in your bucket

bucket

The Google Cloud Storage bucket to upload to

predefinedAcl

The ACL rules for the object uploaded. Set to "bucketLevel" for buckets with bucket level access enabled

deploy_folder

Which folder to deploy from - this will mean the files uploaded will be by default in /workspace/deploy/

Details

cr_build_upload_gcs copies the files into the deploy_folder in your working directory, then tars it for upload. Files will be available on Cloud Build at /workspace/deploy_folder/*.

cr_buildstep_source_move is a way to move the StorageSource files in /workspace/deploy_folder/* into the root /workspace/* location, which is more consistent with RepoSource objects or GitHub build triggers created using cr_buildtrigger_repo. This means the same runtime code can run for both sources.

Value

A Source object

See Also

Other Cloud Build functions: Build(), RepoSource(), Source(), StorageSource(), cr_build_artifacts(), cr_build_list(), cr_build_logs(), cr_build_make(), cr_build_status(), cr_build_targets(), cr_build_wait(), cr_build_write(), cr_build_yaml_artifact(), cr_build_yaml_secrets(), cr_build_yaml(), cr_build()

Examples

## Not run: 
cr_project_set("my-project")
cr_bucket_set("my-bucket")
my_gcs_source <- cr_build_upload_gcs("my_folder")
build1 <- cr_build("cloudbuild.yaml", source = my_gcs_source)

## End(Not run)
cr_buildstep_source_move("deploy")