Achieving this is definitely feasible.
By utilizing a running context, such as a mutex, inspired by Edgar W. Djiskistra, stack queues, Promise states, and the Promise.all executor, you can effectively monitor the presence of an active function within the program. It will be necessary to incorporate a garbage collector to maintain the cleanliness of the mutex list, along with employing a timer (setTimeout) to confirm the cleanliness of the context. Once the context is deemed clean, a callback-like function, such as process.exit(0), can be invoked to conclude your program. In this scenario, "context" pertains to the entire sequence of execution in the program.
Converting the function into a promise and utilizing an .then callback to eliminate/clear the stack of the mutex post-execution of the function's content, coupled with a try/catch block to manage, catch, or log errors, adds further control to the overall program.
The introduction of setTimeout facilitates the formation of a state machine when combined with the mutex/lock mechanism, while also introducing a memory leak that demands vigilant monitoring of the timer to release the memory allocated by each function.
This management is achieved through nested try/catch blocks. The utilization of setInterval in this context introduces a memory leak that may lead to a buffer overflow.
The timer serves as the termination point for the program. By keeping track of whether a function is currently running and registering every function executing synchronously using await and mutex, the program's operation becomes more organized.
Operating the program/interpreter synchronously helps prevent memory leaks and race conditions, ensuring smooth functionality. A snippet of code illustrating these concepts is provided below.
const async run (fn) => {
// Function execution context stack length
const functionContextExecutionStackLength = functionExecutionStackLength + 1
// Check Mutex Stack Queue
const checkMutexStackQueue = () => {
if (mutexStack[0] instanceof Promise) {
if (mutex[0].state == "fullfiled") {
mutexStack = mutexStack.split(1, mutexStack.length)
runner.clear()
runner()
}
}
if (mutexStack.length == 0) process.exit(0)
}
// Clearing function Exection Context
const stackCleaner = setTimeout(1000, (err, callback) => {
if (functionContextExecutionStackLength == 10) {
runner.clear()
}
})
stackCleaner = stackCleaner()
// Avoiding memory leak on function execution context
if (functionContextExecutionStackLength == 10) {
stackCleaner.clear()
stackCleaner()
}
// The Runner
const runner = setTimeout(1, async (err, callback) => {
// Run syncronous
const append = (fn) => mutex.append(util.promisfy(fn)
.then(appendFunctionExectionContextTimes)
.then(checkMutexStackQueue))
// Transform into promise with callback
const fn1 = () => util.promify(fn)
const fn2 = () => util.promisfy(append)
const orderOfExecution = [fn1, fn2, fn]
// A for await version can be considered
for (let i = 0; i < orderOfExecution.length; i++) {
if (orderOfExecution.length == index) {
orderOfExecution[orderOfExecution.length]()
} else {
try {
orderOfExecution[i]()
} catch (err) {
throw err
console.error(err)
}
}
}
}
}
(() => run())(fn)
In the aforementioned code, we approach the asynchronous nature of JavaScript diligently, avoiding it when unnecessary and embracing it when beneficial.
Note:
- Some variables have been omitted for demonstration purposes.
- At times, you may notice variable context switching and calls before execution due to the characteristics of ES modules reading and interpreting all contents later on.