open-ethereum-pool以太坊矿池源码分析(2)API分析

# open-ethereum-pool以太坊矿池-api模块

## ApiServer相关定义

```go
type ApiConfig struct {
Enabled bool `json:"enabled"`
Listen string `json:"listen"`
StatsCollectInterval string `json:"statsCollectInterval"`
HashrateWindow string `json:"hashrateWindow"`
HashrateLargeWindow string `json:"hashrateLargeWindow"`
LuckWindow [] int `json:"luckWindow"`
Payments int64 `json:"payments"`
Blocks int64 `json:"blocks"`
PurgeOnly bool `json:"purgeOnly"`
PurgeInterval string `json:"purgeInterval"`
}

type ApiServer struct {
config *ApiConfig
backend *storage.RedisClient
hashrateWindow time.Duration
hashrateLargeWindow time.Duration
stats atomic.Value
miners map[ string]*Entry
minersMu sync.RWMutex
statsIntv time.Duration
}

type Entry struct {
stats map[ string] interface{}
updatedAt int64
}
//代码位置api/server.go
```

## startApi流程图

open-ethereum-pool以太坊矿池源码分析(2)API分析_第1张图片

## CollectStats原理

```go
//config.StatsCollectInterval为CollectStats定时器,时间为5秒
//调取:stats, err := s.backend.CollectStats(s.hashrateWindow, s.config.Blocks, s.config.Payments)
//s.hashrateWindow即cfg.HashrateWindow,即:为每个矿工估计算力的快速时间间隔,30分钟
//s.config.Blocks即:前端显示的最大块数,50个
//s.config.Payments即:前端显示的最大付款数量,50个
func (r *RedisClient) CollectStats(smallWindow time.Duration, maxBlocks, maxPayments int64) ( map[ string] interface{}, error) {
     //换算成秒
    window := int64(smallWindow / time.Second)
     //创建map
    stats := make( map[ string] interface{})

     //Redis事务块
    tx := r.client.Multi()
     defer tx.Close()

     //换算成秒
    now := util.MakeTimestamp() / 1000

    cmds, err := tx.Exec( func() error {
         //针对min和max参数需要额外说明的是,-inf和+inf分别表示Sorted-Sets中分数的最高值和最低值
         //缺省情况下,min和max表示的范围是闭区间范围,即min <= score <= max内的成员将被返回
         //然而我们可以通过在min和max的前面添加"("字符来表示开区间,如(min max表示min < score <= max,而(min (max表示min < score < max
         //-inf <= score < now-window
        
         //Zremrangebyscore 命令用于移除有序集中,指定分数(score)区间内的所有成员
         //ZREMRANGEBYSCORE eth:hashrate -inf (now-window
         //慎重使用
        tx.ZRemRangeByScore(r.formatKey( "hashrate"), "-inf", fmt.Sprint( "(", now-window))
        
         //显示整个有序集成员
         //ZRANGE eth:hashrate 0 -1 WITHSCORES
        tx.ZRangeWithScores(r.formatKey( "hashrate"), 0, - 1)
        
         //Hgetall 命令用于返回哈希表中,所有的字段和值
         //HGETALL eth:stats
        tx.HGetAllMap(r.formatKey( "stats"))
        
         //Zrevrange 命令返回有序集中,指定区间内的成员
         //ZREVRANGE eth:blocks:candidates 0 -1 WITHSCORES
         //candidates为候选者
        tx.ZRevRangeWithScores(r.formatKey( "blocks", "candidates"), 0, - 1)
        
         //同上
         //ZREVRANGE eth:blocks:immature 0 -1 WITHSCORES
         //immature为未成年
        tx.ZRevRangeWithScores(r.formatKey( "blocks", "immature"), 0, - 1)
        
         //同上
         //ZREVRANGE eth:blocks:matured 0 49 WITHSCORES
         //matured为成熟
        tx.ZRevRangeWithScores(r.formatKey( "blocks", "matured"), 0, maxBlocks- 1)
        
         //Zcard 命令用于计算集合中元素的数量
         //ZCARD eth:blocks:candidates
        tx.ZCard(r.formatKey( "blocks", "candidates"))
        
         //同上
         //ZCARD eth:blocks:immature
        tx.ZCard(r.formatKey( "blocks", "immature"))
        
         //同上
         //ZCARD eth:blocks:matured
        tx.ZCard(r.formatKey( "blocks", "matured"))
        
         //同上
         //ZCARD eth:payments:all
        tx.ZCard(r.formatKey( "payments", "all"))
        
         //同上
         //ZREVRANGE eth:payments:all 0 49 WITHSCORES
        tx.ZRevRangeWithScores(r.formatKey( "payments", "all"), 0, maxPayments- 1)
         return nil
    })

     if err != nil {
         return nil, err
    }

     //Hgetall 命令用于返回哈希表中,所有的字段和值
     //HGETALL eth:stats
    result, _ := cmds[ 2].(*redis.StringStringMapCmd).Result()
    stats[ "stats"] = convertStringMap(result)
    
     //Zrevrange 命令返回有序集中,指定区间内的成员
     //ZREVRANGE eth:blocks:candidates 0 -1 WITHSCORES
     //Zcard 命令用于计算集合中元素的数量
     //ZCARD eth:blocks:candidates
    candidates := convertCandidateResults(cmds[ 3].(*redis.ZSliceCmd))
    stats[ "candidates"] = candidates
    stats[ "candidatesTotal"] = cmds[ 6].(*redis.IntCmd).Val()

     //ZREVRANGE eth:blocks:immature 0 -1 WITHSCORES
     //ZCARD eth:blocks:immature
    immature := convertBlockResults(cmds[ 4].(*redis.ZSliceCmd))
    stats[ "immature"] = immature
    stats[ "immatureTotal"] = cmds[ 7].(*redis.IntCmd).Val()

     //ZREVRANGE eth:blocks:matured 0 49 WITHSCORES
     //ZCARD eth:blocks:matured
    matured := convertBlockResults(cmds[ 5].(*redis.ZSliceCmd))
    stats[ "matured"] = matured
    stats[ "maturedTotal"] = cmds[ 8].(*redis.IntCmd).Val()

     //ZREVRANGE eth:payments:all 0 49 WITHSCORES
     //ZCARD eth:payments:all
    payments := convertPaymentsResults(cmds[ 10].(*redis.ZSliceCmd))
    stats[ "payments"] = payments
    stats[ "paymentsTotal"] = cmds[ 9].(*redis.IntCmd).Val()

     //显示整个有序集成员
     //ZRANGE eth:hashrate 0 -1 WITHSCORES
    totalHashrate, miners := convertMinersStats(window, cmds[ 1].(*redis.ZSliceCmd))
    stats[ "miners"] = miners
    stats[ "minersTotal"] = len(miners)
    stats[ "hashrate"] = totalHashrate
     return stats, nil
}
```

## CollectLuckStats原理

```go
//调取:stats["luck"], err = s.backend.CollectLuckStats(s.config.LuckWindow)
//"luckWindow": [64, 128, 256],
//Collect stats for shares/diff ratio for this number of blocks
func (r *RedisClient) CollectLuckStats(windows [] int) ( map[ string] interface{}, error) {
     //创建stats map
    stats := make( map[ string] interface{})

    tx := r.client.Multi()
     defer tx.Close()

     //max即256
    max := int64(windows[ len(windows)- 1])

    cmds, err := tx.Exec( func() error {
         //Zrevrange 命令返回有序集中,指定区间内的成员
         //ZREVRANGE eth:blocks:immature 0 -1 WITHSCORES
        tx.ZRevRangeWithScores(r.formatKey( "blocks", "immature"), 0, - 1)
        
         //ZREVRANGE eth:blocks:matured 0 max-1 WITHSCORES
        tx.ZRevRangeWithScores(r.formatKey( "blocks", "matured"), 0, max- 1)
         return nil
    })
     if err != nil {
         return stats, err
    }
     //获取blocks
    blocks := convertBlockResults(cmds[ 0].(*redis.ZSliceCmd), cmds[ 1].(*redis.ZSliceCmd))

    calcLuck := func(max int) ( int, float64, float64, float64) {
         var total int
         var sharesDiff, uncles, orphans float64
         for i, block := range blocks {
             if i > (max - 1) {
                 break
            }
             //叔块
             if block.Uncle {
                uncles++
            }
             //孤块
             if block.Orphan {
                orphans++
            }
             //shares/Diff
            sharesDiff += float64(block.TotalShares) / float64(block.Difficulty)
             //total计数
            total++
        }
         if total > 0 {
             //单块平均shares/Diff
            sharesDiff /= float64(total)
             //uncles率
            uncles /= float64(total)
             //孤块率
            orphans /= float64(total)
        }
         //返回total计数,平均shares/Diff,uncles率,孤块率
         return total, sharesDiff, uncles, orphans
    }
    
     //遍历windows,逐一计算calcLuck,即最近64块、128块、256块的数据统计
     for _, max := range windows {
        total, sharesDiff, uncleRate, orphanRate := calcLuck(max)
        row := map[ string] float64{
             "luck": sharesDiff, "uncleRate": uncleRate, "orphanRate": orphanRate,
        }
         //写入stats map
        stats[strconv.Itoa(total)] = row
         //计数不对
         if total < max {
             break
        }
    }
     return stats, nil
}

func convertBlockResults(rows ...*redis.ZSliceCmd) []*BlockData {
     var result []*BlockData
     //遍历rows
     for _, row := range rows {
         //遍历blocks
         for _, v := range row.Val() {
             // "uncleHeight:orphan:nonce:blockHash:timestamp:diff:totalShares:rewardInWei"
            block := BlockData{}
            block.Height = int64(v.Score)
            block.RoundHeight = block.Height
            fields := strings.Split(v.Member.( string), ":")
            block.UncleHeight, _ = strconv.ParseInt(fields[ 0], 10, 64)
            block.Uncle = block.UncleHeight > 0
            block.Orphan, _ = strconv.ParseBool(fields[ 1])
            block.Nonce = fields[ 2]
            block.Hash = fields[ 3]
            block.Timestamp, _ = strconv.ParseInt(fields[ 4], 10, 64)
            block.Difficulty, _ = strconv.ParseInt(fields[ 5], 10, 64)
            block.TotalShares, _ = strconv.ParseInt(fields[ 6], 10, 64)
            block.RewardString = fields[ 7]
            block.ImmatureReward = fields[ 7]
            block.immatureKey = v.Member.( string)
            result = append(result, &block)
        }
    }
     return result
}
```

## purgeStale原理

```go
//config.PurgeInterval为FlushStaleStats定时器,时间为10分钟
//调取:total, err := s.backend.FlushStaleStats(s.hashrateWindow, s.hashrateLargeWindow)
//s.hashrateWindow即cfg.HashrateWindow,即:为每个矿工估计算力的快速时间间隔,30分钟
//s.hashrateLargeWindow即cfg.HashrateLargeWindow,即:长期和精确的hashrate时间间隔,3小时
func (r *RedisClient) FlushStaleStats(window, largeWindow time.Duration) ( int64, error) {
     //换算成秒
    now := util.MakeTimestamp() / 1000
    
     //max即(now-window,即<(now-window
    max := fmt.Sprint( "(", now-int64(window/time.Second))
    
     //Zremrangebyscore 命令用于移除有序集中,指定分数(score)区间内的所有成员
     //ZREMRANGEBYSCORE eth:hashrate -inf (now-window
     //慎重使用
    total, err := r.client.ZRemRangeByScore(r.formatKey( "hashrate"), "-inf", max).Result()
     if err != nil {
         return total, err
    }

     var c int64
     //创建map
    miners := make( map[ string] struct{})
     //即(now-largeWindow,即
    max = fmt.Sprint( "(", now-int64(largeWindow/time.Second))

     for {
         var keys []string
         var err error
        
         //SCAN 命令用于迭代当前数据库中的数据库键
         //SCAN 0 MATCH eth:hashrate:* COUNT 100
         //SCAN c MATCH eth:hashrate:* COUNT 100
        c, keys, err = r.client.Scan(c, r.formatKey( "hashrate", "*"), 100).Result()
         if err != nil {
             return total, err
        }
         for _, row := range keys {
             //eth:hashrate:login中截取login
            login := strings.Split(row, ":")[ 2]
             //没有处理过miners[login]
             if _, ok := miners[login]; !ok {
                 //Zremrangebyscore 命令用于移除有序集中,指定分数(score)区间内的所有成员
                 //ZREMRANGEBYSCORE eth:hashrate:login -inf (now-window
                n, err := r.client.ZRemRangeByScore(r.formatKey( "hashrate", login), "-inf", max).Result()
                 if err != nil {
                     return total, err
                }
                 //已处理的计入miners[login]
                miners[login] = struct{}{}
                 //已处理的数量
                total += n
            }
        }
         if c == 0 {
             break
        }
    }
     return total, nil
}
```

## 参考文档

* [ gopkg.in/redis.v3]( https://godoc.org/gopkg.in/redis.v3)
* [ Redis学习手册(Sorted-Sets数据类型)]( https://www.cnblogs.com/stephen-liu74/archive/2012/03/23/2354994.html)
* [ Redis Command 命令]( http://www.runoob.com/redis/server-command.html)






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