给 GPT 的 Prompts

User

接下来我想知道如何实现 task 的 Error Handling 和 Task Result Retrieval

DevChat

要实现任务的错误处理和结果检索，我们可以修改任务类型为返回一个结果和一个错误。这样，每个任务都可以返回一个结果和一个可能的错误。然后，我们可以在 worker 中处理这个错误，并将结果存储在一个适当的地方以供以后检索。

以下是如何修改代码以实现这个功能：

首先，我们需要修改任务类型以返回一个结果和一个错误：

// Task represents a function that will be executed by a worker.
// It returns a result and an error.
type Task func() (interface{}, error)

然后，我们需要在 worker 中处理任务的错误，并将结果存储在一个适当的地方。这可能需要我们在 goPool 结构中添加一个新的字段来存储任务结果，或者提供一个回调函数来处理任务结果。

func (w *worker) start(pool *goPool, workerIndex int) {
    go func() {
        for t := range w.taskQueue {
            if t != nil {
                result, err := t()
                if err != nil {
                    // Handle error
                    fmt.Println("Task error:", err)
                } else {
                    // Store or handle result
                    fmt.Println("Task result:", result)
                }
            }
            pool.pushWorker(workerIndex)
        }
    }()
}

这只是一个基本的实现，实际的实现可能会根据你的具体需求有所不同。例如，你可能希望提供一个错误回调函数来处理任务错误，或者提供一个结果回调函数来处理任务结果。你也可能希望在 goPool 结构中添加一个字段来存储所有任务的结果，以便以后检索。

User

worker.go

package gopool

import ( "context" "fmt" )

// worker represents a worker in the pool. type worker struct { taskQueue chan task }

func newWorker() *worker { return &worker{ taskQueue: make(chan task, 1), } }

func (w *worker) start(pool *goPool, workerIndex int) { go func() { for t := range w.taskQueue { if t != nil { if pool.timeout > 0 { // Create a context with timeout ctx, cancel := context.WithTimeout(context.Background(), pool.timeout) defer cancel()

                // Create a channel to receive the result of the task
                done := make(chan struct{})

                // Run the task in a separate goroutine
                go func() {
                    t()
                    close(done)
                }()

                // Wait for the task to finish or for the context to timeout
                select {
                case <-done:
                    // The task finished successfully
                case <-ctx.Done():
                    // The context timed out, the task took too long
                    fmt.Println("Task timed out")
                }
            } else {
                // If timeout is not set or is zero, just run the task
                t()
            }
        }
        pool.pushWorker(workerIndex)
    }
}()

}

option.go

package gopool

import ( "sync" "time" )

// Option represents an option for the pool. type Option func(*goPool)

// WithLock sets the lock for the pool. func WithLock(lock sync.Locker) Option { return func(p *goPool) { p.lock = lock p.cond = sync.NewCond(p.lock) } }

// WithMinWorkers sets the minimum number of workers for the pool. func WithMinWorkers(minWorkers int) Option { return func(p *goPool) { p.minWorkers = minWorkers } }

// WithTimeout sets the timeout for the pool. func WithTimeout(timeout time.Duration) Option { return func(p *goPool) { p.timeout = timeout } }

gopool.go

package gopool

import ( "sync" "time" )

// Task represents a function that will be executed by a worker. type task func()

// goPool represents a pool of workers. type goPool struct { workers []*worker maxWorkers int minWorkers int workerStack []int taskQueue chan task lock sync.Locker cond *sync.Cond timeout time.Duration }

// NewGoPool creates a new pool of workers. func NewGoPool(maxWorkers int, opts ...Option) *goPool { pool := &goPool{ maxWorkers: maxWorkers, minWorkers: maxWorkers, // Set minWorkers to maxWorkers by default workers: make([]*worker, maxWorkers), workerStack: make([]int, maxWorkers), taskQueue: make(chan task, 1e6), lock: new(sync.Mutex), timeout: 0, } for _, opt := range opts { opt(pool) } if pool.cond == nil { pool.cond = sync.NewCond(pool.lock) } for i := 0; i < pool.minWorkers; i++ { worker := newWorker() pool.workers[i] = worker pool.workerStack[i] = i worker.start(pool, i) } go pool.dispatch() return pool }

// AddTask adds a task to the pool. func (p *goPool) AddTask(t task) { p.taskQueue <- t }

// Release stops all workers and releases resources. func (p *goPool) Release() { close(p.taskQueue) p.cond.L.Lock() for len(p.workerStack) != p.maxWorkers { p.cond.Wait() } p.cond.L.Unlock() for _, worker := range p.workers { close(worker.taskQueue) } p.workers = nil p.workerStack = nil }

func (p *goPool) popWorker() int { p.lock.Lock() workerIndex := p.workerStack[len(p.workerStack)-1] p.workerStack = p.workerStack[:len(p.workerStack)-1] p.lock.Unlock() return workerIndex }

func (p *goPool) pushWorker(workerIndex int) { p.lock.Lock() p.workerStack = append(p.workerStack, workerIndex) p.lock.Unlock() p.cond.Signal() }

func (p *goPool) dispatch() { for t := range p.taskQueue { p.cond.L.Lock() for len(p.workerStack) == 0 { p.cond.Wait() } p.cond.L.Unlock() workerIndex := p.popWorker() p.workers[workerIndex].taskQueue <- t if len(p.taskQueue) > (p.maxWorkers-p.minWorkers)/2+p.minWorkers && len(p.workerStack) < p.maxWorkers { worker := newWorker() p.workers = append(p.workers, worker) p.workerStack = append(p.workerStack, len(p.workers)-1) worker.start(p, len(p.workers)-1) } else if len(p.taskQueue) < p.minWorkers && len(p.workerStack) > p.minWorkers { p.workers = p.workers[:len(p.workers)-1] p.workerStack = p.workerStack[:len(p.workerStack)-1] } } }

我觉得回调函数是个好办法，可以给 goPool 加一个设置回调函数的 Option 配置函数，让用户可以自定义如何处理 task 的结果以及错误。请在现有代码基础上继续编码。

DevChat

首先，我们需要修改任务类型以返回一个结果和一个错误：

// Task represents a function that will be executed by a worker.
// It returns a result and an error.
type Task func() (interface{}, error)

然后，我们需要在 goPool 结构中添加两个新的字段来存储回调函数：

// goPool represents a pool of workers.
type goPool struct {
    // ...
    resultCallback func(interface{})
    errorCallback func(error)
    // ...
}

接下来，我们需要创建两个新的 Option 函数来设置这些回调函数：

// WithResultCallback sets the result callback for the pool.
func WithResultCallback(callback func(interface{})) Option {
    return func(p *goPool) {
        p.resultCallback = callback
    }
}

// WithErrorCallback sets the error callback for the pool.
func WithErrorCallback(callback func(error)) Option {
    return func(p *goPool) {
        p.errorCallback = callback
    }
}

最后，我们需要在 worker 中调用这些回调函数：

func (w *worker) start(pool *goPool, workerIndex int) {
    go func() {
        for t := range w.taskQueue {
            if t != nil {
                result, err := t()
                if err != nil {
                    // Call the error callback
                    if pool.errorCallback != nil {
                        pool.errorCallback(err)
                    }
                } else {
                    // Call the result callback
                    if pool.resultCallback != nil {
                        pool.resultCallback(result)
                    }
                }
            }
            pool.pushWorker(workerIndex)
        }
    }()
}

这样，用户就可以通过 WithResultCallback 和 WithErrorCallback 函数来自定义如何处理任务的结果和错误了。

User

worker.go

                // Create a channel to receive the result of the task
                done := make(chan struct{})

                // Run the task in a separate goroutine
                go func() {
                    t()
                    close(done)
                }()

                // Wait for the task to finish or for the context to timeout
                select {
                case <-done:
                    // The task finished successfully
                case <-ctx.Done():
                    // The context timed out, the task took too long
                    fmt.Println("Task timed out")
                }
            } else {
                // If timeout is not set or is zero, just run the task
                t()
            }
        }
        pool.pushWorker(workerIndex)
    }
}()

}

当前 start 函数是这样的，请再次基础上拓展，不要丢失了 timeout 功能。

DevChat

在当前的 start 函数基础上，我们可以将任务类型修改为返回结果和错误，然后在任务执行后调用相应的回调函数。以下是修改后的代码：

// Task represents a function that will be executed by a worker.
// It returns a result and an error.
type Task func() (interface{}, error)

// goPool represents a pool of workers.
type goPool struct {
    // ...
    resultCallback func(interface{})
    errorCallback func(error)
    // ...
}

// WithResultCallback sets the result callback for the pool.
func WithResultCallback(callback func(interface{})) Option {
    return func(p *goPool) {
        p.resultCallback = callback
    }
}

// WithErrorCallback sets the error callback for the pool.
func WithErrorCallback(callback func(error)) Option {
    return func(p *goPool) {
        p.errorCallback = callback
    }
}

func (w *worker) start(pool *goPool, workerIndex int) {
    go func() {
        for t := range w.taskQueue {
            if t != nil {
                var result interface{}
                var err error

                if pool.timeout > 0 {
                    // Create a context with timeout
                    ctx, cancel := context.WithTimeout(context.Background(), pool.timeout)
                    defer cancel()

                    // Create a channel to receive the result of the task
                    done := make(chan struct{})

                    // Run the task in a separate goroutine
                    go func() {
                        result, err = t()
                        close(done)
                    }()

                    // Wait for the task to finish or for the context to timeout
                    select {
                    case <-done:
                        // The task finished successfully
                        if err != nil && pool.errorCallback != nil {
                            pool.errorCallback(err)
                        } else if pool.resultCallback != nil {
                            pool.resultCallback(result)
                        }
                    case <-ctx.Done():
                        // The context timed out, the task took too long
                        if pool.errorCallback != nil {
                            pool.errorCallback(fmt.Errorf("Task timed out"))
                        }
                    }
                } else {
                    // If timeout is not set or is zero, just run the task
                    result, err = t()
                    if err != nil && pool.errorCallback != nil {
                        pool.errorCallback(err)
                    } else if pool.resultCallback != nil {
                        pool.resultCallback(result)
                    }
                }
            }
            pool.pushWorker(workerIndex)
        }
    }()
}

这样，我们就在保留了超时功能的同时，添加了错误处理和结果回调的功能。

User

gopool_test.go

package gopool

import ( "sync" "testing" "time"

"github.com/daniel-hutao/spinlock"

)

func TestGoPoolWithMutex(t *testing.T) { pool := NewGoPool(100, WithLock(new(sync.Mutex))) for i := 0; i < 1000; i++ { pool.AddTask(func() (interface{}, error) { time.Sleep(10 * time.Millisecond) return nil, nil }) } pool.Release() }

func TestGoPoolWithSpinLock(t *testing.T) { pool := NewGoPool(100, WithLock(new(spinlock.SpinLock))) for i := 0; i < 1000; i++ { pool.AddTask(func() (interface{}, error) { time.Sleep(10 * time.Millisecond) return nil, nil }) } pool.Release() }

func BenchmarkGoPoolWithMutex(b *testing.B) { var wg sync.WaitGroup var taskNum = int(1e6) pool := NewGoPool(5e4, WithLock(new(sync.Mutex)))

b.ResetTimer()
for i := 0; i < b.N; i++ {
    wg.Add(taskNum)
    for num := 0; num < taskNum; num++ {
        pool.AddTask(func() (interface{}, error) {
            time.Sleep(10 * time.Millisecond)
            wg.Done()
            return nil, nil
        })
    }
}
wg.Wait()
b.StopTimer()
pool.Release()

}

func BenchmarkGoPoolWithSpinLock(b *testing.B) { var wg sync.WaitGroup var taskNum = int(1e6) pool := NewGoPool(5e4, WithLock(new(spinlock.SpinLock)))

b.ResetTimer()
for i := 0; i < b.N; i++ {
    wg.Add(taskNum)
    for num := 0; num < taskNum; num++ {
        pool.AddTask(func() (interface{}, error) {
            time.Sleep(10 * time.Millisecond)
            wg.Done()
            return nil, nil
        })
    }
}
wg.Wait()
b.StopTimer()
pool.Release()

}

func BenchmarkGoroutines(b *testing.B) { var wg sync.WaitGroup var taskNum = int(1e6)

for i := 0; i < b.N; i++ {
    wg.Add(taskNum)
    for num := 0; num < taskNum; num++ {
        go func() (interface{}, error) {
            time.Sleep(10 * time.Millisecond)
            wg.Done()
            return nil, nil
        }()
    }
}

}

我已经在 UT 里给现有 task 函数增加了返回值。请继续帮我完善测试用例，增加 task 的错误处理和结果检索相关的测试用例。

DevChat

在现有的测试用例基础上，我们可以添加一些新的测试用例来测试任务的错误处理和结果检索功能。以下是一些可能的测试用例：

func TestGoPoolWithError(t *testing.T) {
    var errTaskError = errors.New("task error")
    pool := NewGoPool(100, WithErrorCallback(func(err error) {
        if err != errTaskError {
            t.Errorf("Expected error %v, but got %v", errTaskError, err)
        }
    }))
    pool.AddTask(func() (interface{}, error) {
        return nil, errTaskError
    })
    pool.Release()
}

func TestGoPoolWithResult(t *testing.T) {
    var expectedResult = "task result"
    pool := NewGoPool(100, WithResultCallback(func(result interface{}) {
        if result != expectedResult {
            t.Errorf("Expected result %v, but got %v", expectedResult, result)
        }
    }))
    pool.AddTask(func() (interface{}, error) {
        return expectedResult, nil
    })
    pool.Release()
}

在 TestGoPoolWithError 测试用例中，我们创建了一个返回错误的任务，并设置了一个错误回调函数来检查任务的错误是否正确。

在 TestGoPoolWithResult 测试用例中，我们创建了一个返回结果的任务，并设置了一个结果回调函数来检查任务的结果是否正确。

这些测试用例可以确保我们的错误处理和结果检索功能正常工作。

User

gopool_test.go

package gopool

import ( "sync" "testing" "time" "errors"

"github.com/daniel-hutao/spinlock"

)

func BenchmarkGoPoolWithMutex(b *testing.B) { var wg sync.WaitGroup var taskNum = int(1e6) pool := NewGoPool(5e4, WithLock(new(sync.Mutex)))

b.ResetTimer()
for i := 0; i < b.N; i++ {
    wg.Add(taskNum)
    for num := 0; num < taskNum; num++ {
        pool.AddTask(func() (interface{}, error) {
            time.Sleep(10 * time.Millisecond)
            wg.Done()
            return nil, nil
        })
    }
}
wg.Wait()
b.StopTimer()
pool.Release()

}

func BenchmarkGoPoolWithSpinLock(b *testing.B) { var wg sync.WaitGroup var taskNum = int(1e6) pool := NewGoPool(5e4, WithLock(new(spinlock.SpinLock)))

b.ResetTimer()
for i := 0; i < b.N; i++ {
    wg.Add(taskNum)
    for num := 0; num < taskNum; num++ {
        pool.AddTask(func() (interface{}, error) {
            time.Sleep(10 * time.Millisecond)
            wg.Done()
            return nil, nil
        })
    }
}
wg.Wait()
b.StopTimer()
pool.Release()

}

func BenchmarkGoroutines(b *testing.B) { var wg sync.WaitGroup var taskNum = int(1e6)

for i := 0; i < b.N; i++ {
    wg.Add(taskNum)
    for num := 0; num < taskNum; num++ {
        go func() (interface{}, error) {
            time.Sleep(10 * time.Millisecond)
            wg.Done()
            return nil, nil
        }()
    }
}

}

func TestGoPoolWithError(t *testing.T) { var errTaskError = errors.New("task error") pool := NewGoPool(100, WithErrorCallback(func(err error) { if err != errTaskError { t.Errorf("Expected error %v, but got %v", errTaskError, err) } })) for i := 0; i< 1000; i++ { pool.AddTask(func() (interface{}, error) { return nil, errTaskError }) } pool.Release() }

func TestGoPoolWithResult(t *testing.T) { var expectedResult = "task result" pool := NewGoPool(100, WithResultCallback(func(result interface{}) { if result != expectedResult { t.Errorf("Expected result %v, but got %v", expectedResult, result) } })) for i := 0; i< 1000; i++ { pool.AddTask(func() (interface{}, error) { return expectedResult, nil }) } pool.Release() }

README.md

## Usage

Here is a simple example of how to use GoPool with sync.Mutex:

package main

import (
    "sync"
    "time"

    "github.com/devchat-ai/gopool"
)

func main() {
    pool := gopool.NewGoPool(100)
    for i := 0; i < 1000; i++ {
        pool.AddTask(func() {
            time.Sleep(10 * time.Millisecond)
        })
    }
    pool.Release()
}

And here is how to use GoPool with spinlock.SpinLock:

package main

import (
    "time"

    "github.com/daniel-hutao/spinlock"
    "github.com/devchat-ai/gopool"
)

func main() {
    pool := gopool.NewGoPool(100, gopool.WithLock(new(spinlock.SpinLock)))
    for i := 0; i < 1000; i++ {
        pool.AddTask(func() {
            time.Sleep(10 * time.Millisecond)
        })
    }
    pool.Release()
}

## Dynamic Worker Adjustment

GoPool supports dynamic worker adjustment. This means that the number of workers in the pool can increase or decrease based on the number of tasks in the queue. This feature can be enabled by setting the MinWorkers option when creating the pool.

Here is an example of how to use GoPool with dynamic worker adjustment:

package main

import (
    "time"

    "github.com/devchat-ai/gopool"
)

func main() {
    pool := gopool.NewGoPool(100, gopool.WithMinWorkers(50))
    for i := 0; i < 1000; i++ {
        pool.AddTask(func() {
            time.Sleep(10 * time.Millisecond)
        })
    }
    pool.Release()
}

In this example, the pool starts with 50 workers. If the number of tasks in the queue exceeds (MaxWorkers - MinWorkers) / 2 + MinWorkers, the pool will add more workers. If the number of tasks in the queue is less than MinWorkers, the pool will remove some workers.

接下来我希望你继续完善 README 文件，增加 timeout、error handling、Task Result Retrieval 相关介绍。

DevChat

在 README 文件中，我们可以添加以下内容来介绍新的功能：

Timeout

GoPool supports task timeout. If a task takes longer than the specified timeout, it will be cancelled. This feature can be enabled by setting the WithTimeout option when creating the pool.

Here is an example of how to use GoPool with task timeout:

package main

import (
    "time"

    "github.com/devchat-ai/gopool"
)

func main() {
    pool := gopool.NewGoPool(100, gopool.WithTimeout(1*time.Second))
    for i := 0; i < 1000; i++ {
        pool.AddTask(func() (interface{}, error) {
            time.Sleep(2 * time.Second)
            return nil, nil
        })
    }
    pool.Release()
}

In this example, the task will be cancelled if it takes longer than 1 second.

Error Handling

GoPool supports error handling. If a task returns an error, the error callback function will be called. This feature can be enabled by setting the WithErrorCallback option when creating the pool.

Here is an example of how to use GoPool with error handling:

package main

import (
    "errors"
    "fmt"

    "github.com/devchat-ai/gopool"
)

func main() {
    pool := gopool.NewGoPool(100, gopool.WithErrorCallback(func(err error) {
        fmt.Println("Task error:", err)
    }))
    for i := 0; i < 1000; i++ {
        pool.AddTask(func() (interface{}, error) {
            return nil, errors.New("task error")
        })
    }
    pool.Release()
}

In this example, if a task returns an error, the error will be printed to the console.

Task Result Retrieval

GoPool supports task result retrieval. If a task returns a result, the result callback function will be called. This feature can be enabled by setting the WithResultCallback option when creating the pool.

Here is an example of how to use GoPool with task result retrieval:

package main

import (
    "fmt"

    "github.com/devchat-ai/gopool"
)

func main() {
    pool := gopool.NewGoPool(100, gopool.WithResultCallback(func(result interface{}) {
        fmt.Println("Task result:", result)
    }))
    for i := 0; i < 1000; i++ {
        pool.AddTask(func() (interface{}, error) {
            return "task result", nil
        })
    }
    pool.Release()
}

In this example, if a task returns a result, the result will be printed to the console.

这些新的部分介绍了如何使用超时、错误处理和任务结果检索功能。