Learn R Programming
maestro (version 0.6.0)

MaestroSchedule: Class for a schedule of pipelines

Description

Class for a schedule of pipelines

Class for a schedule of pipelines

Arguments

Public fields

PipelineList

object of type MaestroPipelineList

Methods

Method new()

Create a MaestroSchedule object

Usage

MaestroSchedule$new(Pipelines = NULL)

Arguments

Pipelines

list of MaestroPipelines

Returns

MaestroSchedule

Method print()

Print the schedule object

Usage

MaestroSchedule$print()

Returns

print

Method run()

Run a MaestroSchedule

Usage

MaestroSchedule$run(..., quiet = FALSE, run_all = FALSE, n_show_next = 5)

Arguments

...

arguments passed to MaestroPipelineList$run

quiet

whether or not to silence console messages

run_all

run all pipelines regardless of the schedule (default is FALSE) - useful for testing.

n_show_next

show the next n scheduled pipes

Returns

invisible

Method get_schedule()

Get the schedule as a data.frame

Usage

MaestroSchedule$get_schedule()

Returns

data.frame

Method get_status()

Get status of the pipelines as a data.frame

Usage

MaestroSchedule$get_status()

Returns

data.frame

Method get_artifacts()

Get artifacts (return values) from the pipelines

Usage

MaestroSchedule$get_artifacts()

Returns

list

Method get_network()

Get the network structure of the pipelines as an edge list (will be empty if there are no DAG pipelines)

Usage

MaestroSchedule$get_network()

Returns

data.frame

Method get_flags()

Get all pipeline flags as a long data.frame

Usage

MaestroSchedule$get_flags()

Returns

data.frame

Method show_network()

Visualize the DAG relationships between pipelines in the schedule

Usage

MaestroSchedule$show_network()

Returns

interactive visualization

Method clone()

The objects of this class are cloneable with this method.

Usage

MaestroSchedule$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

Run this code
if (interactive()) {
  pipeline_dir <- tempdir()
  create_pipeline("my_new_pipeline", pipeline_dir, open = FALSE)
  schedule <- build_schedule(pipeline_dir = pipeline_dir)
}

Run the code above in your browser using DataLab