gateaux_job_runner: Call arbitrary gateaux jobs from R

In dragonfly-science/bakeR: calling gateaux API from R

Call arbitrary gateaux jobs from R

Description

Call arbitrary gateaux jobs from R

Usage

gateaux_job_runner(
  pars_list = NULL,
  report_name,
  server = "gorbachev.io",
  JWT,
  log_jobs = T,
  prefix = "jobs",
  append = TRUE,
  cpus = "",
  memory = ""
)

Arguments

pars_list	A named list of named lists of environment variables and job requirements - one list per job. Each named list defines a job tag (name), with up to three sub-lists: * pars (named environment variables passed to the job), * wants (named optional job dependencies), * requires (named required job dependencies).
report_name	The name of the job
JWT	String: Authentication token.
log_jobs	Export job parameters to logfile?
prefix	for the list, can include path
append	append to existing file?
cpus	cpus for apparatchik, will override any gorbachev.yaml settings
memory	memory for apparatchik, will override any gorbachev.yaml settings#'
Server	The gateaux server url to use. defaults to gorbachev.io

Value

JSON API return

Author(s)

Dragonfly bakery

Examples

pars = list(Run1 = list(pars = list(Env1 = "This_env", Env2 = "That_env"), wants = list(Upstream_job = 1234), requires = list(Upstream_job2 = 4321)),
            Run2 = list(pars = list(Env1 = "That_env", Env2 = "This_env"), wants = list(Upstream_job = 2222), requires = list(Upstream_job2 = 4321)))
gateaux_job_runner(pars,
                   report_name = "bakeR-testreport",
                   JWT = JWT)

dragonfly-science/bakeR documentation built on June 23, 2024, 3:41 a.m.