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08-Reducer_Composition_with_Arrays.md

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13. Reducer Composition with Arrays

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We left off with code for a todos reducer.

The code is somewhat difficult to read because it mixes 2 different concerns: updating the todos array, as well as updating an individual todo item:

const todos = (state = [], action) => {
  switch (action.type) {
    case 'ADD_TODO':
      return [
        ...state,
        {
          id: action.id,
          text: action.text,
          completed: false
        }
      ];
    case 'TOGGLE_TODO':
      return state.map(todo => {
        if (todo.id !== action.id) {
          return todo;
        }

        return {
          ...todo,
          completed: !todo.completed
        };
      });
  }
}

Every time a function does too many things, it's best to break them up into other functions that each address only one concern.

In this case, "creating and updating a todo" is a separate task to undertake, so we'll bring this code into a new function that has two arguments: the current state, and the action being dispatched.

Note that in this new function that state refers to the individual todo, and not the list of todos.

const todo = (state, action) => {
  switch (action.type) {
    case 'ADD_TODO':
      return {
        id: action.id,
        text: action.text,
        completed: false
      };
    case 'TOGGLE_TODO':
      if (state.id !== action.id) {
        return state;
      }

      return {
        ...state,
        completed: !state.completed
      };
    default:
      return state;
  }
}

Now that we've extracted our todo reducer from our todos reducer, we have to call it for every todo item and assemble the results into an array:

const todos = (state = [], action) => {
  switch (action.type) {
    case 'ADD_TODO':
      return [
        ...state,
        todo(undefined, action)
      ];
    case 'TOGGLE_TODO':
      return state.map(t => todo(t, action));
    default:
      return state;
  }
};

Remember to have a default case where state is returned to avoid odd bugs in the future.

What we've just done is a common Redux practice called reducer composition. Different reducers specify how different parts of the state tree are updated in response to actions. Since reducers are normal JS functions, they can call other reducers to delegate & abstract away updates to the state.

Reducer composition can be applied many times. While there's a single top-level reducer managing the overall state of the app, it's encouraged to have reducers call each other as needed to manage the state tree.

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