@dataparty/tasker
v0.0.3
Published
dependency solving task runner
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Tasker
Tasker is a parallel task runner with dependency resolution and results collection.
- Documentation - datapartyjs.github.io/tasker/
- NPM - npmjs.com/package/@dataparty/tasker
- Code - github.com/datapartyjs/tasker
- Social - @dataparty
- Support - ko-fi/dataparty
Design
Tasker provides a Runner
class which manages depedencies, tasks and results. The runner class utilizes the dependency-solver npm package. When possible upto Runner.parallel
foreground tasks will be run at the same time. When background tasks are added to the Runner
they are started immeditaly and do not count against the parallel limit.
Tasks are added to the Runner
by calling Runner.addTask(task)
. Every Runner.planningIntervalMs
added tasks have their dependencies reveiwed and the schedule is updated. Tasks are scheduled in order of:
- Order of calls to
Runner.addTask(task)
- Task with no dependencies
- Task with depenedencies, in order after solving usage graph
As tasks are completed they can resolve with a result (or not). Any task that has defined dependencies will receive a reference to the task they depend upon in the depends
argument passed to Task.exec({task, depends})
Consumers of the library are expected to extend the Task
class to later instantiate and add instances to a runner. Tasks are added by calling Runner.addTask(task)
.
For more details see documentation:
Foreground Tasks
By default tasks are in the foreground. Tasks can be defined either with a function or by subclassing. See a complete tutorial.
Define task using function
let sleepThirty = async ()=>{
return new Promise((resolve,reject)=>{
setTimeout(resolve, 30*1000)
})
}
let myTask = Tasker.Task({
name: 'sleep-30',
exec: sleepThirty
})
runner.addTask(myTask)
Define task with subclass
class SleepTask extends Tasker.Task {
constructor(durationMs){
this.duration = durationMs
this.timeout = null
}
async exec(){
return new Promise((resolve,reject)=>{
this.timeout = setTimeout(this.onTimeout.bind(this), 30*1000)
})
}
}
onTimeout(){
this.timeout = null
console.log('sleep complete')
}
stop(){
if(this.timeout !== null){
clearTimeout(this.timeout)
this.timeout = null
}
}
}
let sleepThirty = new SleepTaks(30*1000)
runner.addTask(sleepThirty)
runner.start()
Background Tasks
Background tasks do not count against the parallel task limit. On failure background tasks are restarted immediatly and will be kept running indefinitly. Background tasks only ever stop if they are explicitly cancelled.
How to implement a background task
- You must set the constructor property
Task.background
to true during task construction. - You must implement a
Task.exec({task, depends})
function which returnsTask.detach()
- You must implement a
Task.stop()
function which stops your tasks. - Call
Task.backgroundResolve(value)
when stopping successfully or due to a call toTask.stop()
. - Call
Task.backgroundReject(value)
when stopping due to failure.