之前一直在用qiniu的存储服务,生成图片的缩略图,模糊图,视频的webp,现在需要把存储移到s3上,那么这些图片,视频处理就要自己动手写了,本文梳理一下大致的思路。

分析需求

vframe/jpg/offset/1|imageMogr2/thumbnail/400x|saveas/xxx|
cmdcmdcmd
{
    "id": "xxxxx", 
    "pipeline": "xxx", 
    "code": 0, 
    "desc": "The fop was completed successfully", 
    "reqid": "xTsAAFnxUbR5J10U", 
    "inputBucket": "xxx", 
    "inputKey": "xxxxx", 
    "items": [
        {
            "cmd": "vframe/jpg/offset/1|imageMogr2/thumbnail/400x|saveas/ZmFtZS1wcml2YXRlOm1vbWVudC9jb3Zlci9zbmFwL3ZpZGVvL2M5YzdjZjQ5LTU3NGQtNGZjMS1iZDFkLTRkYjZkMzlkZWY1Ni8wLzA=", 
            "code": 0, 
            "desc": "The fop was completed successfully", 
            "hash": "FhdN6V8EI4vW4XJGALSfxutvMEIv", 
            "key": "xx", 
            "returnOld": 0
        }, 
        {
            "cmd": "vframe/jpg/offset/1|imageMogr2/thumbnail/400x|imageMogr2/blur/45x8|saveas/ZmFtZS1wcml2YXRlOm1vbWVudC9jb3Zlci9zbmFwL3ZpZGVvL2M5YzdjZjQ5LTU3NGQtNGZjMS1iZDFkLTRkYjZkMzlkZWY1Ni8wLzBfYmx1cg==", 
            "code": 0, 
            "desc": "The fop was completed successfully", 
            "hash": "FgNiRzrCsa7TZx1xVSb_4d5TiaK3", 
            "key": "xxx", 
            "returnOld": 0
        }
    ]
}

分解需求

这个程序大致需要这么几个部分:

operation

可以把 1 和 2,3 分开来看,1 比较独立,之前写过一个worker的模型,参考的是这篇文章 Handling 1 Million Requests per Minute with Go,比较详细,是用 go channel 作为queue的,我加了一个 beanstalk 作为 queue的 providor。还有一点改进是,文章中只提供了worker数量的设置,我再加了一个参数,设定每个worker可以并行执行的协程数。所以下面主要讲讲3, 2的解决办法

Pipe

可以参考这个库 pipe, 用法如下:


p := pipe.Line(
    pipe.ReadFile("test.png"),
    resize(300, 300),
    blur(0.5),
)

output, err := pipe.CombinedOutput(p)
if err != nil {
    fmt.Printf("%v\n", err)
}

buf := bytes.NewBuffer(output)
img, _ := imaging.Decode(buf)

imaging.Save(img, "test_a.png")
CmdOperation[]Op
type Cmd struct {
    cmd    string
    saveas string
    ops    []Op
    err    error
}

type Op interface {
    getPipe() pipe.Pipe
}

type ResizeOp struct {
    width, height int
}

func (c ResizeOp) getPipe() pipe.Pipe {
    return resize(c.width, c.height)
}

//使用方法
cmdStr := `file/test.png|thumbnail/x300|blur/20x8`
cmd := Cmd{cmdStr, "test_b.png", nil, nil}

cmd.parse()
cmd.doOps()

sync.WaitGroup

sync.WaitGroup
func main() {
    cmds := []string{}
    for i := 0; i < 10000; i++ {
        cmds = append(cmds, fmt.Sprintf("cmd-%d", i))
    }

    results := handleCmds(cmds)

    fmt.Println(len(results)) // 10000
}

func doCmd(cmd string) string {
    return fmt.Sprintf("cmd=%s", cmd)
}

func handleCmds(cmds []string) (results []string) {
    fmt.Println(len(cmds)) //10000
    var count uint64

    group := sync.WaitGroup{}
    lock := sync.Mutex{}
    for _, item := range cmds {
        // 计数加一
        group.Add(1)
        go func(cmd string) {
            result := doCmd(cmd)
            atomic.AddUint64(&count, 1)

            lock.Lock()
            results = append(results, result)
            lock.Unlock()
            
            // 计数减一
            group.Done()
        }(item)
    }

    // 阻塞
    group.Wait()

    fmt.Printf("count=%d \n", count) // 10000
    return
}
group.Wait()results = append(results, result)len(results)
BenchCmd
type BenchCmd struct {
    cmds      []Cmd
    waitGroup sync.WaitGroup
    errs      []error
    lock      sync.Mutex
}

func (b *BenchCmd) doCmds() {
    for _, item := range b.cmds {
        b.waitGroup.Add(1)

        go func(cmd Cmd) {
            cmd.parse()
            err := cmd.doOps()

            b.lock.Lock()
            b.errs = append(b.errs, err)
            b.lock.Unlock()

            b.waitGroup.Done()
        }(item)
    }

    b.waitGroup.Wait()
}

最后的调用就像这样:

var cmds []Cmd
cmd_a := Cmd{`file/test.png|thumbnail/x300|blur/20x8`, "test_a.png", nil, nil}
cmd_b := Cmd{`file/test.png|thumbnail/500x1000|blur/20x108`, "test_b.png", nil, nil}
cmd_c := Cmd{`file/test.png|thumbnail/300x300`, "test_c.png", nil, nil}

cmds = append(cmds, cmd_a)
cmds = append(cmds, cmd_b)
cmds = append(cmds, cmd_c)

bench := BenchCmd{
    cmds:      cmds,
    waitGroup: sync.WaitGroup{},
    lock:      sync.Mutex{},
}

bench.doCmds()

fmt.Println(bench.errs)
pipe