Starting a State Machine Workflow in Any State - workflow-foundation-4

I am looking into creating a new State Machine Workflow - generally with our other flow chart workflows we have them setup so that we can restart them after an upgrade by starting them in a future "state" - is there an easy way to start a state machine workflow in any given state or would you need to put it together so that the starting state can transition to any of the other states and sort the logic and transitions out programmatically?

The only way to do this is by explicitly adding the state transition to the workflow and starting it with some additional parameter so the logic is triggered.

Call the SetState method of the StateMachineWorkflowInstance and passing either a string representation of a state or an instance of a StateActivity class to start with.

Related

Why reducer must return new state?

Why reducer must return new state what is the reason for that .Why can't we return the updated state? Is that the pattern that we must follow or what?Also please let me know that ngrx and redux are they completely different?
I think because the view layer needs to compare current state and previous state, they should be different objects. Also, it can support other features like debugging, time travel.
In both the library, They return a newly modified state or the original state
Just going through the official docs of both NgRX reducer and Redux reducer
NGRX Reducer
Reducers in NgRx are responsible for handling transitions from one state to the next state in your application.
Reducer functions are pure functions in that they produce the same output for a given input. They are without side effects and handle each state transition synchronously. Each reducer function takes the latest Action dispatched, the current state, and determines whether to return a newly modified state or the original state
Redux Reducer
Reducers specify how the application's state changes in response to actions sent to the store.
Regardless of the state management pattern, You need to change the state through reducers as actions are responsible fpr source of information for the store. They are the entry points to interact with store in Both NgRx and 'redux', moreover in Vuex too.
As per the state management library implementation, I guess they both follow same principle of Actions, Reducer to update the state async. There might be some possibly they may have different feature.
Hope this helps!
Both libraries aim to manage a state which is only manipulated in particular, predefined ways; reducers are the access they provide to the state.
By limiting the ability to manipulate the state directly, they make it easier to understand how a particular state was reached; it is always possible to reach a particular state by dispatching the same actions again, and a given state can only be reached as a result of the actions dispatched to state (at least, this is the ideal - impure* reducers would potentially lead to different states being reached from the same actions).
If we imagine a state manager which allowed functions to manipulate state, which is what would be required to return a mutated version of the original state, then it would be far more difficult to understand how a given state was reached, as the store could have been manipulated at any point by any function.
This article gives a good overview of the key ideas behind redux and explains why redux does the things it does. Here are the relevant parts for your question:
State is read-only
The only way to change the state is to emit an action, an object describing what happened.
This ensures that neither the views nor the network callbacks will ever write directly to the state. Instead, they express an intent to transform the state. Because all changes are centralized and happen one by one in a strict order, there are no subtle race conditions to watch out for. As actions are just plain objects, they can be logged, serialized, stored, and later replayed for debugging or testing purposes.
Changes are made with pure functions
To specify how the state tree is transformed by actions, you write pure reducers.
Reducers are just pure functions that take the previous state and an action, and return the next state. Remember to return new state objects, instead of mutating the previous state. You can start with a single reducer, and as your app grows, split it off into smaller reducers that manage specific parts of the state tree. Because reducers are just functions, you can control the order in which they are called, pass additional data, or even make reusable reducers for common tasks such as pagination.
I have far less experience with ngrx, though as it seems like a redux-inspired store, I'll presume it follows more or less the same principles. I'd be happy to be proven wrong, in which case I can update this answer.
*An impure function function would do one or many of the following:
Access state other than the arguments it was passed
Manipulate the arguments it was passed
Contain a side effect - something which affects state outside of itself
Mutating state is the most common cause of bugs in Redux applications, including components failing to re-render properly, and will also break time-travel debugging in the Redux DevTools. Actual mutation of state values should always be avoided, both inside reducers and in all other application code.
Use tools such as redux-immutable-state-invariant to catch mutations during development, and Immer to avoid accidental mutations in state updates.
Note: it is okay to modify copies of existing values - that is a normal part of writing immutable update logic. Also, if you are using the Immer library for immutable updates, writing "mutating" logic is acceptable because the real data isn't being mutated - Immer safely tracks changes and generates immutably-updated values internally.
From Redux Doc.

Why is it beneficial to change state w/ actions in redux?

From: https://redux.js.org/introduction/three-principles
State is read-only. The only way to change the state is to emit an action, an object describing what happened. This ensures that neither the views nor the network callbacks will ever write directly to the state. Instead, they express an intent to transform the state. Because all changes are centralized and happen one by one in a strict order, there are no subtle race conditions to watch out for. As actions are just plain objects, they can be logged, serialized, stored, and later replayed for debugging or testing purposes.
Two questions arise for me from this...
How is redux enforcing that changes happen in a strict order? If I change state synchronously then I don't see why this would ever be a problem. If I want to change state after async event 1 and async event 2 in order then wouldn't I have to do something like use callbacks or promises regardless of whether I'm using redux to ensure that the state changes in the order I expect?
Why is it easier to log an action? If I weren't using redux, couldn't I just console.log every state change I make to make it easier for debugging and testing? Am I just saving the time of writing console.log upon each state change by learning redux?
To answer your questions:
redux's execution is synchronous so when you dispatch an action, you're executing a a method on the redux store, which call the reducer to compute the new state. The concept of "async actions" don't exist in redux, which is why you have a host of solutions to enable them: redux-thunk, redux-saga, redux-observable and so on. All "async actions" library eventually have to execute the dispatch function synchronously to change the redux state.
In a well-written redux applications, changes to any state contained within the redux store could only have been caused by an action dispatched from somewhere within the application that has access to the dispatch function. This allows you to have total control and knowledge of where and how state changes happen. That's the main selling point of redux: "predictable state container." You can certainly store your local state in some global variable and manually mutate it but then you'll have to use something like Object.observe (which is actually deprecated with no replacement in sight) on that state variable to monitor changes to it.

Ngrx complex state reducer

I struggle finding the right way to mutate my state in an ngrx application as the state is rather complex and depending on many factors. This Question is not about doing one piece of code correct but more about how to design such a software in general, what are doe's and don'ts when finding some hacky solutions and workarounds.
The app 'evolved' by time and i wan't to share this process in an abstracted way to make my point clear:
Stage 1
State contains Entities. Those represent nodes in a tree and are linked by ids. Modifying or adding an entity requires a check about the type of nodes the new/modified ones should be connected with. Also it might be that upon modifying a node, other nodes had to be updated.
The solution was: create functions that do the job. Call them right in the reducer so everything is always up to date and synchronus when used (there are services that might modify state).
Stage 2
A configuration is added to the state having an impact on the way the automatically modifyed nodes are modifyed/created. This configuration is saved in it's own state right under the root state.
The solution:
1) Modify the actions to also take the required data from the configuration.
2) Modify the places where the actions are created/dispatched (add some ugly
this.state.select(fromRoot.getX)
.first()
.(subscribe(element => {this.state.dispatch(new Action({...old_payload, newPayload: element}))})
wrapper around the dispatch-calls)
3) modify the functions doing the node-modification and
4) adding the argument-passing to the function calls inside the reducer
Stage 3
Now i'am asked to again add another configuration to the process, also retrived by the backend and also saved in another state right under the root state
State now looks like:
root
|__nodes
|__config_1
|__config_2
i was just about to repeat the steps as in stage 2 but the actions get really ig with all the data passed in and functions have to carry around a lot of data. This seems to be wrong, when i actually dispatch the action on the state containing all the needed info.
How can i handle this correct?
Some ideasi already had:
use Effects: they are able to get everything from state they need and can create everything - so i only need to dispatch an action with only the actions payload, the effect then can grab everything from the state it needs. I don't like this idea because it triggers asynchronus tasks to modify the state and add not-state-changing actions.
use a service: with a service holding state it would be much like with effects but without using actions to just create asynchronus calls which then dispatch the actions that relly change state.
do all the stuffi n the component: at the moment the components are kept pretty simple when it comes to changing state as i prefer the idea that actions carry as little data as possible, since reducers can access the state to get theyr data - but this is where the problem occus, this time i can't get hands on the data i need.

WF4 : where are Finished persisted state machines?

I have successfuly saved the state machine and applied bookmarks to state machine after loading them for mutiple times.
But what happens when they reach to a final state ?
Why they are removed from persitance data store ([System.Activities.DurableInstancing].[InstancesTable]) after geting finished?
Is that normal or am I makeing a mistake in persisting finished statemachines ?
Workflow is code. You define the logic using larger pieces, but it executes and returns a result. It is not the result itself.
Imagine you had a class that had methods you call that determines approval/denial. You would spin up that class, pass in argument values, and let the code execution determine approval/denial. What do you do after this code executes?
You wouldn't store the code of that method, that's for sure. You would store who approved, who denied, and the final result.
So you shouldn't be storing the code of the workflow but the results.
I would accomplish the goals of this workflow by creating custom Activities extending NativeActivity, using one or more workflow extensions to communicate with the outside world to send notifications about approval or denials waiting for action. Along the way I'd record who did what when my bookmarks resume execution. When the workflow completes, I record the final result as well.

Should logic go into trigger actions or in the entry?

I was wondering if it is better to put long execution logic in triggers or in states.
My concern is that if I put a complex, long logic within the triggers, then my state machine would stay too much time in a transitioning phase, and the information about the current state is no more meaningful.
Would the entry of each state the correct place to put long running logic?
Thanks
You don't put logic in a state directly but in a state entry or exit event. So no matter where you place it is runs as part of a state transition. Now as to what is the correct place, that completely depends on the logic. Simply stated, put it where it is appropriate :-)

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