Correctly send stats & proc information back for servers
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@@ -1,8 +1,7 @@
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package server
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import (
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"github.com/docker/docker/api/types"
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"math"
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"github.com/pterodactyl/wings/environment"
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"sync"
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"sync/atomic"
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)
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@@ -13,33 +12,15 @@ import (
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type ResourceUsage struct {
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mu sync.RWMutex
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// Embed the current environment stats into this server specific resource usage struct.
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environment.Stats
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// The current server status.
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State string `json:"state" default:"offline"`
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// The total amount of memory, in bytes, that this server instance is consuming. This is
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// calculated slightly differently than just using the raw Memory field that the stats
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// return from the container, so please check the code setting this value for how that
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// is calculated.
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Memory uint64 `json:"memory_bytes"`
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// The total amount of memory this container or resource can use. Inside Docker this is
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// going to be higher than you'd expect because we're automatically allocating overhead
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// abilities for the container, so its not going to be a perfect match.
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MemoryLimit uint64 `json:"memory_limit_bytes"`
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// The absolute CPU usage is the amount of CPU used in relation to the entire system and
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// does not take into account any limits on the server process itself.
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CpuAbsolute float64 `json:"cpu_absolute"`
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// The current disk space being used by the server. This is cached to prevent slow lookup
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// issues on frequent refreshes.
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Disk int64 `json:"disk_bytes"`
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// Current network transmit in & out for a container.
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Network struct {
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RxBytes uint64 `json:"rx_bytes"`
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TxBytes uint64 `json:"tx_bytes"`
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} `json:"network"`
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}
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// Returns the resource usage stats for the server instance. If the server is not running, only the
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@@ -69,81 +50,6 @@ func (ru *ResourceUsage) setInternalState(state string) {
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ru.mu.Unlock()
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}
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// Resets the usages values to zero, used when a server is stopped to ensure we don't hold
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// onto any values incorrectly.
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func (ru *ResourceUsage) Empty() {
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ru.mu.Lock()
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defer ru.mu.Unlock()
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ru.Memory = 0
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ru.CpuAbsolute = 0
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ru.Network.TxBytes = 0
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ru.Network.RxBytes = 0
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}
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func (ru *ResourceUsage) SetDisk(i int64) {
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ru.mu.Lock()
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defer ru.mu.Unlock()
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ru.Disk = i
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}
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func (ru *ResourceUsage) UpdateFromDocker(v *types.StatsJSON) {
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ru.mu.Lock()
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defer ru.mu.Unlock()
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ru.CpuAbsolute = ru.calculateDockerAbsoluteCpu(&v.PreCPUStats, &v.CPUStats)
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ru.Memory = ru.calculateDockerMemory(v.MemoryStats)
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ru.MemoryLimit = v.MemoryStats.Limit
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}
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func (ru *ResourceUsage) UpdateNetworkBytes(nw *types.NetworkStats) {
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atomic.AddUint64(&ru.Network.RxBytes, nw.RxBytes)
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atomic.AddUint64(&ru.Network.TxBytes, nw.TxBytes)
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}
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// The "docker stats" CLI call does not return the same value as the types.MemoryStats.Usage
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// value which can be rather confusing to people trying to compare panel usage to
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// their stats output.
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//
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// This math is straight up lifted from their CLI repository in order to show the same
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// values to avoid people bothering me about it. It should also reflect a slightly more
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// correct memory value anyways.
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//
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// @see https://github.com/docker/cli/blob/96e1d1d6/cli/command/container/stats_helpers.go#L227-L249
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func (ru *ResourceUsage) calculateDockerMemory(stats types.MemoryStats) uint64 {
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if v, ok := stats.Stats["total_inactive_file"]; ok && v < stats.Usage {
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return stats.Usage - v
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}
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if v := stats.Stats["inactive_file"]; v < stats.Usage {
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return stats.Usage - v
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}
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return stats.Usage
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}
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// Calculates the absolute CPU usage used by the server process on the system, not constrained
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// by the defined CPU limits on the container.
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//
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// @see https://github.com/docker/cli/blob/aa097cf1aa19099da70930460250797c8920b709/cli/command/container/stats_helpers.go#L166
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func (ru *ResourceUsage) calculateDockerAbsoluteCpu(pStats *types.CPUStats, stats *types.CPUStats) float64 {
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// Calculate the change in CPU usage between the current and previous reading.
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cpuDelta := float64(stats.CPUUsage.TotalUsage) - float64(pStats.CPUUsage.TotalUsage)
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// Calculate the change for the entire system's CPU usage between current and previous reading.
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systemDelta := float64(stats.SystemUsage) - float64(pStats.SystemUsage)
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// Calculate the total number of CPU cores being used.
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cpus := float64(stats.OnlineCPUs)
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if cpus == 0.0 {
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cpus = float64(len(stats.CPUUsage.PercpuUsage))
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}
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percent := 0.0
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if systemDelta > 0.0 && cpuDelta > 0.0 {
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percent = (cpuDelta / systemDelta) * cpus * 100.0
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}
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return math.Round(percent*1000) / 1000
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atomic.SwapInt64(&ru.Disk, i)
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}
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