React network layer with Redux Observable

Kleman — Thu, 03 Oct 2019 10:28:00 +0000

Introduction

Redux is good for state management.
Redux midleware is for handling side effect (network request, storage...).
You can create your own midleware but there's alot of well maintained midlewares available out there.
Popular midleware libraries: thunk promise saga observable...
As the title, I will pick Redux Observable to implement network layer in React app.

This is my ever fist blog about React, It definitely have lots of flaws.Though, It's open for critism and your kind feedback.

Reasons for picking Redux Observable:

It's more declative with functional programming style.
Function reusability are high
Easy to test
Can transfer skill between Rx family (RxSwift, RxJava, RxJS...).
Fancy things like throttle, debounce, retry... works right out the box.
It's DOPE

What we will make:

RESTful api request layer
On success and error callback
Pre error handling (Refresh token, Server healthcheck...)
Debounce to reduce ajax request pressure
Discard request when logout or when the stream is idle

Naivety approaches

Install each epic stream for each endpoint.
- It's simple 👍
- But more boilderplates and code duplication 👎
- Somewhat problem when too much active streams always listen for its not-always coming actions. 👎
One "All Request Actions" listening stream
- This helps reduce code 👍
- Lost debounce retry functionalies out of the box 🤔 👎
Better approach:
- One "Api Request Actions" listening stream -> reduce code 👍
- Then spawning new stream listen for that request action -> keep debounce and friends work right out of the box 👍
- Dispose stream when it become idle -> performance improve 👍

Let's do it.

First create Request Action builder:

export const REQUEST = 'REQUEST';

export const createApiRequestAction = ({
  type,
  method = 'GET',
  endpoint,
  queryParams,
  pathParams,
  bodyParams,
  timeout = 5000,
  onSuccess = () => {},
  onError = () => {},
  showLoading = true,
  debounceTime = 200,
}) => ({
  metaType: REQUEST,
  type,
  method,
  endpoint,
  queryParams,
  pathParams,
  bodyParams,
  timeout,
  onSuccess,
  onError,
  showLoading,
  debounceTime,
});

export const succeedApiRequest = (data, requestAction) => ({
  type: `${requestAction.type}_DONE`,
  payload: data,
  requestAction,
});

export const failedApiRequest = (error, requestAction) => ({
  type: `${requestAction.type}_FAIL`,
  payload: error,
  requestAction,
});

Make our api epic stream

Create one stream listen for all actions that have metaType is `REQUEST`

const apiEpic = (action$, store$) => {
  return action$.pipe(
    // Stream of all request actions
    filter(action => action.metaType === REQUEST),
    )
  );
};

Then open new stream for that type

const apiEpic = (action$, store$) => {
  const openingApiActionStreams = {};
  return action$.pipe(
    // Stream of request actions
    filter(
      action => action.metaType === REQUEST &&
      !openingApiActionStreams[action.type],
    ),

    // Tracking stream opening states
    tap(action => {
      console.log(`${action.type} stream created`);
      openingApiActionStreams[action.type] = true;
    }),

    // Open new stream of this action type
    flatMap(action =>
      action$.ofType(action.type).pipe(
        // Begin new stream with this trigger action
        startWith(action),

        // ...

        // Update stream opening states when stream is closed
        finalize(() => {
          console.log(`${action.type} stream closed`);
          openingApiActionStreams[action.type] = false;
        }),
      ),
    ),
  );
};

Add debounce time to reduce ajax request pressure

You can find more about debounce time here.
Simply, It's useful when user countinously hit the like button multiple time which fire like 20 unneccesary requests, then the debounceTime operator help us to take only the last event and save your api server.
With RxJS we'll just call debounceTime operator that does it all for us.

flatMap(action =>
  action$.ofType(action.type).pipe(
    // snip...

    debounceTime(action.debounceTime),

    // snip...
  ),
),

Add stream terminator

As mention above, when we open too many stream that listening for one time dispatched action but keep it forever would be a bad idea, we will terminate it when it is unused.
Just like debounceTime, we can use takeUntil operator to terminate the stream like this:

flatMap(action =>
  action$.ofType(action.type).pipe(
    // snip...

    takeUntil(terminator$(action, action$)),

    // snip...
  ),
),

We will close stream when SIGN_OUT or idle. So our terminator stream will be like:

const terminator$ = (action, action$) =>
  merge(
    // Dispose stream when signed out
    action$.pipe(ofType(SIGNOUT)),

    // Dispose stream when it's idle 10 seconds
    action$.pipe(
      ofType(action.type, `${action.type}_DONE`, `${action.type}_FAIL`),
      debounceTime(10000),
    ),
  );

Finally the ajax request stream

flatMap(action =>
  action$.ofType(action.type).pipe(
    // snip...

    // Start async request flow
    switchMap(action => request$(action, store$)),

    // snip...
  ),
),

const request$ = (action, store$) =>
  from(ajax(action, getAccessToken(store$))).pipe(
    switchMap(response => {
      // Callback & dispatch result
      action.onSuccess(response.data);
      return of(succeedApiRequest(response.data, action));
    }),

    // Handle errors
    catchError(error => {
      const apiError = parseApiError(error);

      // Pre-handles
      switch (apiError.errorCode) {
        case ApiErrorCode.TokenExpired:
          return of(refreshToken(action));
        case ApiErrorCode.InvalidToken:
          return of(signout());
        default:
          break;
      }

      // Callback & dispatch Error
      action.onError(apiError);
      return of(failedApiRequest(apiError, action));
    }),
  );

That's it. We made it.

Completed api epic stream

const apiEpic = (action$, store$) => {
  const openingApiActionStreams = {};
  return action$.pipe(
    // Stream of request actions
    filter(
      action => action.metaType === REQUEST &&
      !openingApiActionStreams[action.type],
    ),

    // Tracking stream opening states
    tap(action => {
      console.log(`${action.type} stream created`);
      openingApiActionStreams[action.type] = true;
    }),

    // Open new stream of this action type
    flatMap(action =>
      action$.ofType(action.type).pipe(
        // Begin new stream with this trigger action
        startWith(action),

        // Lossy back-pressure
        debounceTime(action.debounceTime),

        // Start async request flow
        switchMap(action => request$(action, store$)),

        // Stream of this action type's terminator
        takeUntil(terminator$(action, action$)),

        // Tracking stream opening states
        finalize(() => {
          console.log(`${action.type} stream closed`);
          openingApiActionStreams[action.type] = false;
        }),
      ),
    ),
  );
};

DEV Community: Kleman

React network layer with Redux Observable

Introduction

Reasons for picking Redux Observable:

What we will make:

Naivety approaches

Let's do it.

First create Request Action builder:

Make our api epic stream

Create one stream listen for all actions that have metaType is `REQUEST`

Then open new stream for that type

Add debounce time to reduce ajax request pressure

Add stream terminator

Finally the ajax request stream

Completed api epic stream

References

DEV Community: Kleman

React network layer with Redux Observable

Introduction

Reasons for picking Redux Observable:

What we will make:

Naivety approaches

Let's do it.

First create Request Action builder:

Make our api epic stream

Create one stream listen for all actions that have metaType is REQUEST

Then open new stream for that type

Add debounce time to reduce ajax request pressure

Add stream terminator

Finally the ajax request stream

Completed api epic stream

References

Create one stream listen for all actions that have metaType is `REQUEST`