grafana/pkg/tsdb/opentsdb/opentsdb.go

220 lines
5.5 KiB
Go

package opentsdb
import (
"context"
"fmt"
"path"
"strconv"
"strings"
"golang.org/x/net/context/ctxhttp"
"encoding/json"
"io/ioutil"
"net/http"
"net/url"
"github.com/grafana/grafana/pkg/components/null"
"github.com/grafana/grafana/pkg/log"
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/setting"
"github.com/grafana/grafana/pkg/tsdb"
)
type OpenTsdbExecutor struct {
//*models.DataSource
//httpClient *http.Client
}
func NewOpenTsdbExecutor(datasource *models.DataSource) (tsdb.TsdbQueryEndpoint, error) {
/*
httpClient, err := datasource.GetHttpClient()
if err != nil {
return nil, err
}
*/
return &OpenTsdbExecutor{
//DataSource: datasource,
//httpClient: httpClient,
}, nil
}
var (
plog log.Logger
)
func init() {
plog = log.New("tsdb.opentsdb")
tsdb.RegisterTsdbQueryEndpoint("opentsdb", NewOpenTsdbExecutor)
}
func (e *OpenTsdbExecutor) Query(ctx context.Context, dsInfo *models.DataSource, queryContext *tsdb.TsdbQuery) (*tsdb.Response, error) {
result := &tsdb.Response{}
var tsdbQuery OpenTsdbQuery
tsdbQuery.Start = queryContext.TimeRange.GetFromAsMsEpoch()
tsdbQuery.End = queryContext.TimeRange.GetToAsMsEpoch()
for _, query := range queryContext.Queries {
metric := e.buildMetric(query)
tsdbQuery.Queries = append(tsdbQuery.Queries, metric)
}
if setting.Env == setting.DEV {
plog.Debug("OpenTsdb request", "params", tsdbQuery)
}
req, err := e.createRequest(dsInfo, tsdbQuery)
if err != nil {
return nil, err
}
httpClient, err := dsInfo.GetHttpClient()
if err != nil {
return nil, err
}
res, err := ctxhttp.Do(ctx, httpClient, req)
if err != nil {
return nil, err
}
queryResult, err := e.parseResponse(tsdbQuery, res)
if err != nil {
return nil, err
}
result.Results = queryResult
return result, nil
}
func (e *OpenTsdbExecutor) createRequest(dsInfo *models.DataSource, data OpenTsdbQuery) (*http.Request, error) {
u, _ := url.Parse(dsInfo.Url)
u.Path = path.Join(u.Path, "api/query")
postData, err := json.Marshal(data)
req, err := http.NewRequest(http.MethodPost, u.String(), strings.NewReader(string(postData)))
if err != nil {
plog.Info("Failed to create request", "error", err)
return nil, fmt.Errorf("Failed to create request. error: %v", err)
}
req.Header.Set("Content-Type", "application/json")
if dsInfo.BasicAuth {
req.SetBasicAuth(dsInfo.BasicAuthUser, dsInfo.BasicAuthPassword)
}
return req, err
}
func (e *OpenTsdbExecutor) parseResponse(query OpenTsdbQuery, res *http.Response) (map[string]*tsdb.QueryResult, error) {
queryResults := make(map[string]*tsdb.QueryResult)
queryRes := tsdb.NewQueryResult()
body, err := ioutil.ReadAll(res.Body)
defer res.Body.Close()
if err != nil {
return nil, err
}
if res.StatusCode/100 != 2 {
plog.Info("Request failed", "status", res.Status, "body", string(body))
return nil, fmt.Errorf("Request failed status: %v", res.Status)
}
var data []OpenTsdbResponse
err = json.Unmarshal(body, &data)
if err != nil {
plog.Info("Failed to unmarshal opentsdb response", "error", err, "status", res.Status, "body", string(body))
return nil, err
}
for _, val := range data {
series := tsdb.TimeSeries{
Name: val.Metric,
}
for timeString, value := range val.DataPoints {
timestamp, err := strconv.ParseFloat(timeString, 64)
if err != nil {
plog.Info("Failed to unmarshal opentsdb timestamp", "timestamp", timeString)
return nil, err
}
series.Points = append(series.Points, tsdb.NewTimePoint(null.FloatFrom(value), timestamp))
}
queryRes.Series = append(queryRes.Series, &series)
}
queryResults["A"] = queryRes
return queryResults, nil
}
func (e *OpenTsdbExecutor) buildMetric(query *tsdb.Query) map[string]interface{} {
metric := make(map[string]interface{})
// Setting metric and aggregator
metric["metric"] = query.Model.Get("metric").MustString()
metric["aggregator"] = query.Model.Get("aggregator").MustString()
// Setting downsampling options
disableDownsampling := query.Model.Get("disableDownsampling").MustBool()
if !disableDownsampling {
downsampleInterval := query.Model.Get("downsampleInterval").MustString()
if downsampleInterval == "" {
downsampleInterval = "1m" //default value for blank
}
downsample := downsampleInterval + "-" + query.Model.Get("downsampleAggregator").MustString()
if query.Model.Get("downsampleFillPolicy").MustString() != "none" {
metric["downsample"] = downsample + "-" + query.Model.Get("downsampleFillPolicy").MustString()
} else {
metric["downsample"] = downsample
}
}
// Setting rate options
if query.Model.Get("shouldComputeRate").MustBool() {
metric["rate"] = true
rateOptions := make(map[string]interface{})
rateOptions["counter"] = query.Model.Get("isCounter").MustBool()
counterMax, counterMaxCheck := query.Model.CheckGet("counterMax")
if counterMaxCheck {
rateOptions["counterMax"] = counterMax.MustFloat64()
}
resetValue, resetValueCheck := query.Model.CheckGet("counterResetValue")
if resetValueCheck {
rateOptions["resetValue"] = resetValue.MustFloat64()
}
if !counterMaxCheck && (!resetValueCheck || resetValue.MustFloat64() == 0) {
rateOptions["dropResets"] = true
}
metric["rateOptions"] = rateOptions
}
// Setting tags
tags, tagsCheck := query.Model.CheckGet("tags")
if tagsCheck && len(tags.MustMap()) > 0 {
metric["tags"] = tags.MustMap()
}
// Setting filters
filters, filtersCheck := query.Model.CheckGet("filters")
if filtersCheck && len(filters.MustArray()) > 0 {
metric["filters"] = filters.MustArray()
}
return metric
}