mirror of
https://github.com/Luzifer/mondash.git
synced 2024-11-14 02:12:42 +00:00
276 lines
6.4 KiB
Go
276 lines
6.4 KiB
Go
package main
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import (
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"encoding/json"
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"errors"
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"log"
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"sort"
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"strconv"
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"time"
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"github.com/Luzifer/mondash/storage"
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)
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type dashboard struct {
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DashboardID string `json:"-"`
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APIKey string `json:"api_key"`
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Metrics dashboardMetrics `json:"metrics"`
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storage storage.Storage
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}
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func loadDashboard(dashid string, store storage.Storage) (*dashboard, error) {
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data, err := store.Get(dashid)
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if err != nil {
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return &dashboard{}, errors.New("Dashboard not found")
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}
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tmp := &dashboard{
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DashboardID: dashid,
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storage: store,
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}
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_ = json.Unmarshal(data, tmp)
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return tmp, nil
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}
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func (d *dashboard) Save() {
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data, err := json.Marshal(d)
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if err != nil {
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log.Printf("Error while marshalling dashboard: %s", err)
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return
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}
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err = d.storage.Put(d.DashboardID, data)
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if err != nil {
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log.Printf("Error while storing dashboard: %s", err)
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}
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}
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type dashboardMetrics []*dashboardMetric
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func (a dashboardMetrics) Len() int { return len(a) }
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func (a dashboardMetrics) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
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func (a dashboardMetrics) Less(i, j int) bool {
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return a[i].Meta.LastUpdate.Before(a[j].Meta.LastUpdate)
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}
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type dashboardMetric struct {
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MetricID string `json:"id"`
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Title string `json:"title"`
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Description string `json:"description"`
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Status string `json:"status"`
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Value float64 `json:"value,omitifempty"`
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Expires int64 `json:"expires,omitifempty"`
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Freshness int64 `json:"freshness,omitifempty"`
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IgnoreMAD bool `json:"ignore_mad"`
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HideMAD bool `json:"hide_mad"`
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HideValue bool `json:"hide_value"`
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HistoricalData dashboardMetricHistory `json:"history,omitifempty"`
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Meta dashboardMetricMeta `json:"meta,omitifempty"`
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}
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type dashboardMetricStatus struct {
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Time time.Time `json:"time"`
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Status string `json:"status"`
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Value float64 `json:"value"`
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}
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type dashboardMetricMeta struct {
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LastUpdate time.Time
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LastOK time.Time
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PercOK float64
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PercWarn float64
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PercCrit float64
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}
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type dashboardMetricHistory []dashboardMetricStatus
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func newDashboardMetric() *dashboardMetric {
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return &dashboardMetric{
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Status: "Unknown",
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Expires: 604800,
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Freshness: 3600,
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HistoricalData: dashboardMetricHistory{},
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Meta: dashboardMetricMeta{},
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}
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}
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func median(values []float64) float64 {
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sort.Float64s(values)
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if len(values) == 1 {
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return values[0]
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}
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// If even, take an average
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if len(values)%2 == 0 {
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return 0.5*values[len(values)/2] + 0.5*values[len(values)/2-1]
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}
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log.Printf("len(values)=%v, len(values)/2=%v\n", len(values), len(values)/2)
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return values[len(values)/2-1]
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}
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func absoluteValue(value float64) float64 {
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if value < 0 {
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value = -value
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}
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return value
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}
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func absoluteDeviation(values []float64) []float64 {
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medianValue := median(values)
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deviation := make([]float64, len(values))
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for i := range values {
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deviation[i] = absoluteValue(values[i] - medianValue)
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}
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return deviation
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}
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func (dm *dashboardMetric) getValueArray() []float64 {
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values := []float64{}
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for _, v := range dm.HistoricalData {
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values = append(values, v.Value)
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}
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return values
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}
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func (dm *dashboardMetric) Median() float64 {
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return median(dm.getValueArray())
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}
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func (dm *dashboardMetric) MedianAbsoluteDeviation() (float64, float64) {
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values := dm.getValueArray()
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medianValue := dm.Median()
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return medianValue, median(absoluteDeviation(values))
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}
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func (dm *dashboardMetric) MadMultiplier() float64 {
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medianValue, MAD := dm.MedianAbsoluteDeviation()
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return absoluteValue(dm.Value-medianValue) / MAD
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}
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func (dm *dashboardMetric) StatisticalStatus() string {
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mult := dm.MadMultiplier()
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if mult > 4 {
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return "Critical"
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} else if mult > 3 {
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return "Warning"
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}
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return "OK"
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}
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func (dm *dashboardMetric) PreferredStatus() string {
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if dm.Meta.LastUpdate.Before(time.Now().Add(-1 * time.Duration(dm.Freshness) * time.Second)) {
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return "Unknown"
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}
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if dm.IgnoreMAD {
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return dm.Status
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}
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return dm.StatisticalStatus()
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}
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func (dm *dashboardMetric) LabelHistory() []string {
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s := []string{}
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labelStart := len(dm.HistoricalData) - 60
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if labelStart < 0 {
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labelStart = 0
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}
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for _, v := range dm.HistoricalData[labelStart:] {
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s = append(s, strconv.Itoa(int(v.Time.Unix())))
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}
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return s
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}
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func (dm *dashboardMetric) DataHistory() []string {
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s := []string{}
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dataStart := len(dm.HistoricalData) - 60
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if dataStart < 0 {
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dataStart = 0
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}
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for _, v := range dm.HistoricalData[dataStart:] {
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s = append(s, strconv.FormatFloat(v.Value, 'g', 4, 64))
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}
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return s
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}
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func (dm *dashboardMetric) Update(m *dashboardMetric) {
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dm.Title = m.Title
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dm.Description = m.Description
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dm.Status = m.Status
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dm.Value = m.Value
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dm.IgnoreMAD = m.IgnoreMAD
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dm.HideMAD = m.HideMAD
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dm.HideValue = m.HideValue
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if m.Expires != 0 {
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dm.Expires = m.Expires
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}
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if m.Freshness != 0 {
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dm.Freshness = m.Freshness
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}
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dm.HistoricalData = append(dm.HistoricalData, dashboardMetricStatus{
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Time: time.Now(),
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Status: m.Status,
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Value: m.Value,
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})
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countStatus := make(map[string]float64)
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expired := time.Now().Add(time.Duration(dm.Expires*-1) * time.Second)
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tmp := dashboardMetricHistory{}
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for _, s := range dm.HistoricalData {
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if s.Time.After(expired) {
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tmp = append(tmp, s)
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countStatus[s.Status] = countStatus[s.Status] + 1
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countStatus["Total"] = countStatus["Total"] + 1
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if dm.Meta.LastOK.Before(s.Time) && s.Status == "OK" {
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dm.Meta.LastOK = s.Time
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}
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}
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}
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dm.HistoricalData = tmp
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dm.Meta.LastUpdate = time.Now()
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if countStatus["Total"] > 0 {
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dm.Meta.PercCrit = countStatus["Critical"] / countStatus["Total"] * 100
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dm.Meta.PercWarn = countStatus["Warning"] / countStatus["Total"] * 100
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dm.Meta.PercOK = countStatus["OK"] / countStatus["Total"] * 100
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}
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}
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func (dm *dashboardMetric) IsValid() (bool, string) {
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if dm.Expires > 604800 || dm.Expires < 0 {
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return false, "Expires not in range 0 < x < 640800"
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}
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if dm.Freshness > 604800 || dm.Freshness < 0 {
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return false, "Freshness not in range 0 < x < 640800"
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}
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if !stringInSlice(dm.Status, []string{"OK", "Warning", "Critical", "Unknowm"}) {
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return false, "Status not allowed"
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}
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if len(dm.Title) > 512 || len(dm.Description) > 1024 {
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return false, "Title or Description too long"
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}
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return true, ""
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}
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