grafana/pkg/tsdb/cloudwatch/log_actions.go
Andrej Ocenas 91a67ab0fb
CloudWatch/Logs: Don't group dataframes for non time series queries for non live path (#38915)
* Use the same grouping function in legacy code

* Add error propagation

* Fix tests

* Fix tests
2021-09-08 16:30:55 +02:00

327 lines
10 KiB
Go

package cloudwatch
import (
"context"
"errors"
"fmt"
"sort"
"github.com/aws/aws-sdk-go/aws"
"github.com/aws/aws-sdk-go/aws/awserr"
"github.com/aws/aws-sdk-go/service/cloudwatchlogs"
"github.com/aws/aws-sdk-go/service/cloudwatchlogs/cloudwatchlogsiface"
"github.com/grafana/grafana-plugin-sdk-go/backend"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana/pkg/components/simplejson"
"golang.org/x/sync/errgroup"
)
func (e *cloudWatchExecutor) executeLogActions(ctx context.Context, req *backend.QueryDataRequest) (*backend.QueryDataResponse, error) {
resp := backend.NewQueryDataResponse()
resultChan := make(chan backend.Responses, len(req.Queries))
eg, ectx := errgroup.WithContext(ctx)
for _, query := range req.Queries {
model, err := simplejson.NewJson(query.JSON)
if err != nil {
return nil, err
}
query := query
eg.Go(func() error {
dataframe, err := e.executeLogAction(ectx, model, query, req.PluginContext)
if err != nil {
return err
}
groupedFrames, err := groupResponseFrame(dataframe, model.Get("statsGroups").MustStringArray())
if err != nil {
return err
}
resultChan <- backend.Responses{
query.RefID: backend.DataResponse{Frames: groupedFrames},
}
return nil
})
}
if err := eg.Wait(); err != nil {
return nil, err
}
close(resultChan)
for result := range resultChan {
for refID, response := range result {
respD := resp.Responses[refID]
respD.Frames = response.Frames
resp.Responses[refID] = respD
}
}
return resp, nil
}
func (e *cloudWatchExecutor) executeLogAction(ctx context.Context, model *simplejson.Json, query backend.DataQuery, pluginCtx backend.PluginContext) (*data.Frame, error) {
subType := model.Get("subtype").MustString()
dsInfo, err := e.getDSInfo(pluginCtx)
if err != nil {
return nil, err
}
defaultRegion := dsInfo.region
region := model.Get("region").MustString(defaultRegion)
logsClient, err := e.getCWLogsClient(region, pluginCtx)
if err != nil {
return nil, err
}
var data *data.Frame = nil
switch subType {
case "DescribeLogGroups":
data, err = e.handleDescribeLogGroups(ctx, logsClient, model)
case "GetLogGroupFields":
data, err = e.handleGetLogGroupFields(ctx, logsClient, model, query.RefID)
case "StartQuery":
data, err = e.handleStartQuery(ctx, logsClient, model, query.TimeRange, query.RefID)
case "StopQuery":
data, err = e.handleStopQuery(ctx, logsClient, model)
case "GetQueryResults":
data, err = e.handleGetQueryResults(ctx, logsClient, model, query.RefID)
case "GetLogEvents":
data, err = e.handleGetLogEvents(ctx, logsClient, model)
}
if err != nil {
return nil, err
}
return data, nil
}
func (e *cloudWatchExecutor) handleGetLogEvents(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json) (*data.Frame, error) {
queryRequest := &cloudwatchlogs.GetLogEventsInput{
Limit: aws.Int64(parameters.Get("limit").MustInt64(10)),
StartFromHead: aws.Bool(parameters.Get("startFromHead").MustBool(false)),
}
logGroupName, err := parameters.Get("logGroupName").String()
if err != nil {
return nil, fmt.Errorf("Error: Parameter 'logGroupName' is required")
}
queryRequest.SetLogGroupName(logGroupName)
logStreamName, err := parameters.Get("logStreamName").String()
if err != nil {
return nil, fmt.Errorf("Error: Parameter 'logStream' is required")
}
queryRequest.SetLogStreamName(logStreamName)
if startTime, err := parameters.Get("startTime").Int64(); err == nil {
queryRequest.SetStartTime(startTime)
}
if endTime, err := parameters.Get("endTime").Int64(); err == nil {
queryRequest.SetEndTime(endTime)
}
logEvents, err := logsClient.GetLogEventsWithContext(ctx, queryRequest)
if err != nil {
return nil, err
}
messages := make([]*string, 0)
timestamps := make([]*int64, 0)
sort.Slice(logEvents.Events, func(i, j int) bool {
return *(logEvents.Events[i].Timestamp) > *(logEvents.Events[j].Timestamp)
})
for _, event := range logEvents.Events {
messages = append(messages, event.Message)
timestamps = append(timestamps, event.Timestamp)
}
timestampField := data.NewField("ts", nil, timestamps)
timestampField.SetConfig(&data.FieldConfig{DisplayName: "Time"})
messageField := data.NewField("line", nil, messages)
return data.NewFrame("logEvents", timestampField, messageField), nil
}
func (e *cloudWatchExecutor) handleDescribeLogGroups(ctx context.Context,
logsClient cloudwatchlogsiface.CloudWatchLogsAPI, parameters *simplejson.Json) (*data.Frame, error) {
logGroupNamePrefix := parameters.Get("logGroupNamePrefix").MustString("")
var response *cloudwatchlogs.DescribeLogGroupsOutput = nil
var err error
if len(logGroupNamePrefix) == 0 {
response, err = logsClient.DescribeLogGroupsWithContext(ctx, &cloudwatchlogs.DescribeLogGroupsInput{
Limit: aws.Int64(parameters.Get("limit").MustInt64(50)),
})
} else {
response, err = logsClient.DescribeLogGroupsWithContext(ctx, &cloudwatchlogs.DescribeLogGroupsInput{
Limit: aws.Int64(parameters.Get("limit").MustInt64(50)),
LogGroupNamePrefix: aws.String(logGroupNamePrefix),
})
}
if err != nil || response == nil {
return nil, err
}
logGroupNames := make([]*string, 0)
for _, logGroup := range response.LogGroups {
logGroupNames = append(logGroupNames, logGroup.LogGroupName)
}
groupNamesField := data.NewField("logGroupName", nil, logGroupNames)
frame := data.NewFrame("logGroups", groupNamesField)
return frame, nil
}
func (e *cloudWatchExecutor) executeStartQuery(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json, timeRange backend.TimeRange) (*cloudwatchlogs.StartQueryOutput, error) {
startTime := timeRange.From
endTime := timeRange.To
if !startTime.Before(endTime) {
return nil, fmt.Errorf("invalid time range: start time must be before end time")
}
// The fields @log and @logStream are always included in the results of a user's query
// so that a row's context can be retrieved later if necessary.
// The usage of ltrim around the @log/@logStream fields is a necessary workaround, as without it,
// CloudWatch wouldn't consider a query using a non-alised @log/@logStream valid.
modifiedQueryString := "fields @timestamp,ltrim(@log) as " + logIdentifierInternal + ",ltrim(@logStream) as " +
logStreamIdentifierInternal + "|" + parameters.Get("queryString").MustString("")
startQueryInput := &cloudwatchlogs.StartQueryInput{
StartTime: aws.Int64(startTime.Unix()),
EndTime: aws.Int64(endTime.Unix()),
LogGroupNames: aws.StringSlice(parameters.Get("logGroupNames").MustStringArray()),
QueryString: aws.String(modifiedQueryString),
}
if resultsLimit, err := parameters.Get("limit").Int64(); err == nil {
startQueryInput.Limit = aws.Int64(resultsLimit)
}
return logsClient.StartQueryWithContext(ctx, startQueryInput)
}
func (e *cloudWatchExecutor) handleStartQuery(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
model *simplejson.Json, timeRange backend.TimeRange, refID string) (*data.Frame, error) {
startQueryResponse, err := e.executeStartQuery(ctx, logsClient, model, timeRange)
if err != nil {
return nil, err
}
dataFrame := data.NewFrame(refID, data.NewField("queryId", nil, []string{*startQueryResponse.QueryId}))
dataFrame.RefID = refID
clientRegion := model.Get("region").MustString("default")
dataFrame.Meta = &data.FrameMeta{
Custom: map[string]interface{}{
"Region": clientRegion,
},
}
return dataFrame, nil
}
func (e *cloudWatchExecutor) executeStopQuery(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json) (*cloudwatchlogs.StopQueryOutput, error) {
queryInput := &cloudwatchlogs.StopQueryInput{
QueryId: aws.String(parameters.Get("queryId").MustString()),
}
response, err := logsClient.StopQueryWithContext(ctx, queryInput)
if err != nil {
// If the query has already stopped by the time CloudWatch receives the stop query request,
// an "InvalidParameterException" error is returned. For our purposes though the query has been
// stopped, so we ignore the error.
var awsErr awserr.Error
if errors.As(err, &awsErr) && awsErr.Code() == "InvalidParameterException" {
response = &cloudwatchlogs.StopQueryOutput{Success: aws.Bool(false)}
err = nil
}
}
return response, err
}
func (e *cloudWatchExecutor) handleStopQuery(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json) (*data.Frame, error) {
response, err := e.executeStopQuery(ctx, logsClient, parameters)
if err != nil {
return nil, err
}
dataFrame := data.NewFrame("StopQueryResponse", data.NewField("success", nil, []bool{*response.Success}))
return dataFrame, nil
}
func (e *cloudWatchExecutor) executeGetQueryResults(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json) (*cloudwatchlogs.GetQueryResultsOutput, error) {
queryInput := &cloudwatchlogs.GetQueryResultsInput{
QueryId: aws.String(parameters.Get("queryId").MustString()),
}
return logsClient.GetQueryResultsWithContext(ctx, queryInput)
}
func (e *cloudWatchExecutor) handleGetQueryResults(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json, refID string) (*data.Frame, error) {
getQueryResultsOutput, err := e.executeGetQueryResults(ctx, logsClient, parameters)
if err != nil {
return nil, err
}
dataFrame, err := logsResultsToDataframes(getQueryResultsOutput)
if err != nil {
return nil, err
}
dataFrame.Name = refID
dataFrame.RefID = refID
return dataFrame, nil
}
func (e *cloudWatchExecutor) handleGetLogGroupFields(ctx context.Context, logsClient cloudwatchlogsiface.CloudWatchLogsAPI,
parameters *simplejson.Json, refID string) (*data.Frame, error) {
queryInput := &cloudwatchlogs.GetLogGroupFieldsInput{
LogGroupName: aws.String(parameters.Get("logGroupName").MustString()),
Time: aws.Int64(parameters.Get("time").MustInt64()),
}
getLogGroupFieldsOutput, err := logsClient.GetLogGroupFieldsWithContext(ctx, queryInput)
if err != nil {
return nil, err
}
fieldNames := make([]*string, 0)
fieldPercentages := make([]*int64, 0)
for _, logGroupField := range getLogGroupFieldsOutput.LogGroupFields {
fieldNames = append(fieldNames, logGroupField.Name)
fieldPercentages = append(fieldPercentages, logGroupField.Percent)
}
dataFrame := data.NewFrame(
refID,
data.NewField("name", nil, fieldNames),
data.NewField("percent", nil, fieldPercentages),
)
dataFrame.RefID = refID
return dataFrame, nil
}