deploy_course: Deploy Quantargo Course

In quantargo/qbit: A new way to build and share your data science projects

Deploy Quantargo Course

Description

After the course build process is finished the generated json files can be uploaded through this function.

Usage

deploy_course(
  course_id,
  path = ".",
  index = read_yaml(file.path(path, "index.yml")),
  json_files = get_json_files(path),
  asset_files = get_asset_files(path),
  apikey = getOption("QKEY"),
  url = getOption("QBITURL", "https://api.quantargo.com/v2"),
  tmpdir = file.path(tempdir(), course_id)
)

Arguments

course_id	character; Name of the QBit function.
path	character; Root path of course.
index	list; Index meta data for qbit.
json_files	character; list of json files to be uploaded through endpoint
asset_files	character; files to be uploaded as course assets.
apikey	character; API key from QBit platform.
url	character; Upload url to be used
tmpdir	character; Temporary directory to be used for qbit/zip creation.

quantargo/qbit documentation built on March 20, 2022, 10:35 a.m.