Stream

Background

When useFetch makes a request and needs to handle logic afterwards, the common approach is to watch the data value. However, organizing asynchronous code through reactive data often leads to two problems:

1. Unclear semantics - watching data lacks semantic meaning and loses logical context. Code readability requires searching globally for logic points that modify data to understand the flow
2. When watching multiple data points that have sequential dependencies, controlling the timing becomes very difficult

Using fluth can effectively handle the semantics and timing issues of asynchronous code. useFetch integrates the fluth solution.

Usage

useFetch returns a Stream instance promise$, which allows subscribing to the latest data through promise$.then

const { execute, promise$ } = useFetch(url, { immediate: false });

promise$.then(() => {
  console.log(data.value);
});

await execute(); // Prints data.value once

await execute(); // Prints data.value once