func graphiteExtractPlotResult(plots []graphitePlot) ([]*types.PlotResult, error) {
var min, max, avg, last float64
result := make([]*types.PlotResult, 0)
for _, plot := range plots {
plotResult := &types.PlotResult{Info: make(map[string]types.PlotValue)}
for _, plotPoint := range plot.Datapoints {
plotResult.Plots = append(plotResult.Plots, types.PlotValue(plotPoint[0]))
}
// Scan the target legend for serie name and plot min/max/avg/last info
if index := strings.Index(plots[0].Target, "(min"); index > 0 {
fmt.Sscanf(plot.Target[0:index], "%s ", &plotResult.Name)
fmt.Sscanf(plot.Target[index:], "(min: %f) (max: %f) (avg: %f) (last: %f)", &min, &max, &avg, &last)
}
plotResult.Info["min"] = types.PlotValue(min)
plotResult.Info["max"] = types.PlotValue(max)
plotResult.Info["avg"] = types.PlotValue(avg)
plotResult.Info["last"] = types.PlotValue(last)
result = append(result, plotResult)
}
return result, nil
}
func rrdParseInfo(info rrd.GraphInfo, data []*types.PlotResult) {
refMap := make(map[string]*types.PlotResult)
for _, entry := range data {
refMap[entry.Name] = entry
}
for _, value := range info.Print {
chunks := strings.SplitN(value, ",", 3)
chunkFloat, err := strconv.ParseFloat(chunks[2], 64)
if err != nil {
chunkFloat = math.NaN()
}
if refMap[chunks[0]] == nil {
plotResult := &types.PlotResult{Info: make(map[string]types.PlotValue)}
data = append(data, plotResult)
refMap[chunks[0]] = plotResult
}
refMap[chunks[0]].Info[chunks[1]] = types.PlotValue(chunkFloat)
}
}
// GetPlots retrieves time series data from origin based on a query and a time interval.
func (connector *RRDConnector) GetPlots(query *types.PlotQuery) ([]*types.PlotResult, error) {
var xport *rrd.Exporter
if len(query.Group.Series) == 0 {
return nil, fmt.Errorf("group has no series")
} else if query.Group.Type != OperGroupTypeNone && len(query.Group.Series) == 1 {
query.Group.Type = OperGroupTypeNone
}
result := make([]*types.PlotResult, 0)
stack := make([]string, 0)
graph := rrd.NewGrapher()
if connector.daemon != "" {
graph.SetDaemon(connector.daemon)
}
xport = rrd.NewExporter()
if connector.daemon != "" {
xport.SetDaemon(connector.daemon)
}
count := 0
switch query.Group.Type {
case OperGroupTypeNone:
for _, serie := range query.Group.Series {
if serie.Metric == nil {
continue
}
itemName := fmt.Sprintf("serie%d", count)
count += 1
graph.Def(
itemName+"-orig0",
connector.metrics[serie.Metric.Source][serie.Metric.Name].FilePath,
connector.metrics[serie.Metric.Source][serie.Metric.Name].Dataset,
"AVERAGE",
)
if serie.Scale != 0 {
graph.CDef(itemName+"-orig1", fmt.Sprintf("%s-orig0,%g,*", itemName, serie.Scale))
} else {
graph.CDef(itemName+"-orig1", itemName+"-orig0")
}
if query.Group.Scale != 0 {
graph.CDef(itemName, fmt.Sprintf("%s-orig1,%g,*", itemName, query.Group.Scale))
} else {
graph.CDef(itemName, itemName+"-orig1")
}
// Set graph information request
rrdSetGraph(graph, itemName, query.Percentiles)
// Set plots request
xport.Def(
itemName+"-orig0",
connector.metrics[serie.Metric.Source][serie.Metric.Name].FilePath,
connector.metrics[serie.Metric.Source][serie.Metric.Name].Dataset,
"AVERAGE",
)
if serie.Scale != 0 {
xport.CDef(itemName+"-orig1", fmt.Sprintf("%s-orig0,%g,*", itemName, serie.Scale))
} else {
xport.CDef(itemName+"-orig1", itemName+"-orig0")
}
if query.Group.Scale != 0 {
xport.CDef(itemName, fmt.Sprintf("%s-orig1,%g,*", itemName, query.Group.Scale))
} else {
xport.CDef(itemName, itemName+"-orig1")
}
xport.XportDef(itemName, itemName)
}
case OperGroupTypeAvg, OperGroupTypeSum:
itemName := fmt.Sprintf("serie%d", count)
count += 1
for index, serie := range query.Group.Series {
if serie.Metric == nil {
continue
}
serieTemp := itemName + fmt.Sprintf("-tmp%d", index)
graph.Def(
serieTemp+"-ori",
connector.metrics[serie.Metric.Source][serie.Metric.Name].FilePath,
connector.metrics[serie.Metric.Source][serie.Metric.Name].Dataset,
"AVERAGE",
)
graph.CDef(serieTemp, fmt.Sprintf("%s-ori,UN,0,%s-ori,IF", serieTemp, serieTemp))
xport.Def(
serieTemp+"-ori",
connector.metrics[serie.Metric.Source][serie.Metric.Name].FilePath,
connector.metrics[serie.Metric.Source][serie.Metric.Name].Dataset,
"AVERAGE",
)
xport.CDef(serieTemp, fmt.Sprintf("%s-ori,UN,0,%s-ori,IF", serieTemp, serieTemp))
if len(stack) == 0 {
stack = append(stack, serieTemp)
} else {
stack = append(stack, serieTemp, "+")
}
}
if query.Group.Type == OperGroupTypeAvg {
stack = append(stack, strconv.Itoa(len(query.Group.Series)), "/")
}
graph.CDef(itemName+"-orig", strings.Join(stack, ","))
if query.Group.Scale != 0 {
graph.CDef(itemName, fmt.Sprintf("%s-orig,%g,*", itemName, query.Group.Scale))
} else {
graph.CDef(itemName, itemName+"-orig")
}
// Set graph information request
rrdSetGraph(graph, itemName, query.Percentiles)
// Set plots request
xport.CDef(itemName+"-orig", strings.Join(stack, ","))
if query.Group.Scale != 0 {
xport.CDef(itemName, fmt.Sprintf("%s-orig,%g,*", itemName, query.Group.Scale))
} else {
xport.CDef(itemName, itemName+"-orig")
}
xport.XportDef(itemName, itemName)
default:
return nil, fmt.Errorf("unknown operator type %d", query.Group.Type)
}
// Get plots
data := rrd.XportResult{}
data, err := xport.Xport(query.StartTime, query.EndTime, query.Step)
if err != nil {
return nil, err
}
for index, itemName := range data.Legends {
plotResult := &types.PlotResult{
Name: itemName,
Info: make(map[string]types.PlotValue),
}
for i := 0; i < data.RowCnt; i++ {
plotResult.Plots = append(plotResult.Plots, types.PlotValue(data.ValueAt(index, i)))
}
result = append(result, plotResult)
}
// Parse graph information
graphInfo, _, err := graph.Graph(query.StartTime, query.EndTime)
if err != nil {
return nil, err
}
rrdParseInfo(graphInfo, result)
data.FreeValues()
return result, nil
}
