Complete task and resource management powered by redux.
| Feature | krok | undertaker |
|---|---|---|
| Async primitive | Promise | async-done |
| Resource management | Yes | No |
| Result forwarding | Yes | No |
| Task registry | External | Internal |
| State management | redux | Internal |
| Concurrency | Controlled | Unlimited |
| Deadlocks | Detected | Undetected |
| Timeouts | Yes | No |
| Retry | Yes | No |
While there are plentyoftask-runners most have an API designed around a very specific paradigm (streams, trees, etc.) and can't handle dependencies with resource-based results (that is to say results which require cleanup after they're used). krok exists to make it easy to inspect and control how large collections of interconnected tasks are run. It has no CLI, and it has no opinion about how your tasks should be run or stored.
Some quick nomenclature to keep things consistent:
Task: Representation of work to be done. Every task in krok has a unique string identifier. How that task is run is up to you.
Registry: A collection of functions defining the behaviour for a domain of tasks. Includes things like how to run a task and what the dependencies of a given task are.
Resource: A stateful result from a task which requires disposing when its no longer needed.
Dependencies: Given a particular task, a list of tasks that must successfully complete before the original task can be run.
Install krok and its dependencies:
npm install --save krok redux redux-thunkIf you have a fixed set of tasks to run you can simply encode all of them directly.
import{runTask,reducer,createTaskRegistry}from'krok';importthunkfrom'redux-thunk';import{createStore,applyMiddleware}from'redux';conststore=createStore(reducer,applyMiddleware(thunk));constregistry=createTaskRegistry({// Called whenever a task has to be run. Return a promise representing the// result of running the task.run: (id,dependencies)=>{switch(id){case'a':
// Perform computation for task `a`.returnPromise.resolve(3);case'b':
// Perform computation for task `b`.returnPromise.resolve(5+dependencies[0]);default:
// Trying to run any other task is failure.returnPromise.reject('No such task.');}},// Called whenever dependencies need to be computed for a task. Return an// array of other tasks that need to be run.dependencies: (id)=>{switch(id){case'a':
return[];case'b':
return['a'];default:
thrownewTypeError();}},});// Run the task.constresult=store.dispatch(runTask(registry,'b'));// Do something with the result.result.then((b)=>console.log('Task result:',b));Sometimes you will want to do things with state.
import{runTask,reducerastaskReducer,createTaskRegistry}from'krok';importthunkfrom'redux-thunk';import{createStore,combineReducers,applyMiddleware}from'redux';// Create your application's reducer.constappReducer=handleActions({});// Create the combined reducer.constreducer=combineReducers({tasks: taskReducer,app: appReducer,});// Create a selector to pick out the krok state.constselector=(state)=>state.tasks;conststore=createStore(reducer,applyMiddleware(thunk));constregistry=createTaskRegistry({
selector,run: (id,dependencies)=>{switch(id){case'a':
returnPromise.resolve(3);case'b':
returnPromise.resolve(5+dependencies[0]);default:
returnPromise.reject('No such task.');}},dependencies: (id)=>{switch(id){case'a':
return[];case'b':
return['a'];default:
thrownewTypeError();}},});constresult=store.dispatch(runTask(registry,'b'));result.then((b)=>console.log('Task result:',b));Sometimes the result of running a task is just a simple value, like a plain JavaScript object. However, other times it can be something that has it's own state - database connections, web servers or file handles. After this kind of task result has been used, it needs to be cleaned up. You can provide a dispose handler in your registry for this purpose.
Internally, krok handles all the necessary reference counting ensuring that both: as long as the result of a task is needed, its resource will be kept alive; and when the result is no longer needed, its resource will be disposed.
constregistry=createTaskRegistry({dispose: (id,result)=>{switch(id){case'a':
returnresult.close();default:
returnPromise.resolve();}},run: (id,dependencies)=>{switch(id){case'a':
returndb.connect();case'b':
returndependencies[0].query('some db query');default:
returnPromise.reject('No such task.');}},dependencies: (id)=>{switch(id){case'a':
return[];case'b':
return['a'];default:
thrownewTypeError();}},});Note that when you run a task, krok does not know how long you expect to use the resource for and DOES NOT automatically handle the reference count for that task. If you're thinking of using a resource, consider first if it's possible to make a task that consumes that resource into a concrete result so you do not have to manually manage references yourself.
However, if you do need access to a long-running resource, krok provides you with the mechanism for updating the reference count yourself.
// Mark that you want to keep the handle for `a` available.store.dispatch(refTask('a'))// Run the task.store.dispatch(runTask('a')).then((result)=>{// Do something with the result for as long as you need to.// When you're done unref the task. Invoking this will cause the reference// count to drop to 0 and the task will be disposed.store.dispatch(unrefTask('a'));});A particular task (and all its transitive dependencies) have to be handled by the same registry. That is to say if a depends on b, and b depends on c, then all of a, b and c must be handled by the same registry. However, if you have tasks that are not connected like this you can have each group handled by different registries. Note that the task identifier is independent of the registry and you are still responsible for ensuring uniqueness.
// Create registries.constregistry1=createTaskRegistry(...);constregistry2=createTaskRegistry(...);// `registry1` will handle how to manage tasks `a`, `b` and `c`.constresultA=store.dispatch(runTask(registry1,'a'));// `register2` will handle how to manage task `d`.constresultD=store.dispatch(runTask(registry2,'d'));Sometimes you may wish to limit how many tasks can run in parallel.
An extremely simple mechanism:
constregistry=createTaskRegistry({// TODO: Finish this.schedule: (next,active)=>{returnnext.slice(0,Math.max(0,3-active.length));},});You can do more complex scheduling using buckets:
constregistry=createTaskRegistry({// TODO: Finish this.schedule: (next)=>{returnnext.slice(0,3);},});Sometimes you may wish to schedule some tasks sooner than others.
importflowfrom'lodash/fp/flow';importsortByfrom'lodash/fp/sortBy';importtakefrom'lodash/fp/take';constxxx=flow(sortBy('priority'),take(5));constregistry=createTaskRegistry({// TODO: Finish this.schedule: (next)=>{returnxxx(next);},});Sometimes you may wish to control how many resources of one type remain active – e.g. only allow 3 concurrent database sessions. You can use a similar mechanism to concurrency control to achieve this.
constregistry=createTaskRegistry({// TODO: Finish this. Use `refs` to count active resources.schedule: (next)=>{countBy('type',refs);}});If you're not careful when customizing the scheduler or you create circular dependencies, you can create deadlocks. Generally, krok is capable of detecting them and will automatically fail any task caught inside a deadlock.
This is a trivial dependency deadlock that krok will detect:
constregistry=createTaskRegistry({run: (id,dependencies)=>{switch(id){case'a':
returnPromise.resolve(dependencies[0]+1);default:
returnPromise.reject('No such task.');}},dependencies: (id)=>{switch(id){case'a':
return['a'];default:
thrownewTypeError();}},});This is a trivial scheduler deadlock that krok will detect:
constregistry=createTaskRegistry({schedule: ()=>[]});Because krok uses redux under the hood, you can use all the tooling available to the redux ecosystem to inspect the state of the system as it runs. For example, you can use redux-logger or redux-cli-logger to track everything that happens.
importcreateLoggerfrom'redux-logger';constlogger=createLogger(...);conststore=createStore(reducer,applyMiddleware(thunk,logger));Reporting is a little bit trickier with krok. The only official mechanism to detect changes is by using [redux's store subscription].
letstate=null;letoldState=store.getState();store.subscribe(()=>{state=store.getState();// Report on whatever you want here.oldState=state;});Alternatively, if you're building a reporter that makes use of react (either with react-dom for the web or react-blessed for console), you can use react-redux to handle all the necessary state observations.
The options (and defaults) to createTaskRegistry are described below:
{/** * Clean up the result produced by a task. This is called whenever the * resource created by your task is no longer needed. * @param {Any} task Task whose resource needs disposing. * @param {Any} value The resource created by the task. * @returns {Promise} The result of disposing the resource. */
dispose =(task,value)=>Promise.resolve(),/** * Fetch the part of the global redux state atom that has the `krok` state. * You can use this to combine `krok` with other redux reducers. * @param {Object} state Global redux state atom. * @returns {Object} The `krok` state atom. */
selector =(state)=>state,/** * Fetch a task. Internally `krok` only uses `id` to track tasks, but you * may wish to attach additional data to a particular task. Whatever you * return here will be passed as the `task` argument to the other registry * functions. * @param {String} id Task identifier. * @returns {Any} Task representation for given identifier. */
task =(id)=>id,/** * Fetch the list of dependencies for a given task. * @param {Any} task The current task whose dependencies are needed. * @returns {Array} List of dependencies. */
dependencies =(task)=>[],/** * Execute a given task. * @param {Any} task The current task. * @returns {Promise} The result of executing the task. */
run =(task)=>Promise.resolve(),/** * Schedule the next unit of work to be run. The only tasks given are tasks * that are actually able to be scheduled (i.e. all there dependencies have * been met). * Note that you can create deadlocks here when there are no tasks currently * running, there are tasks pending _and_ you schedule no more work. All * pending tasks will be failed in this case. * @param {Array} tasks List of tasks that are available for running. * @returns {Array} List of tasks to be run. */
schedule =(tasks)=>tasks,}