Files
actions-runner-controller/controllers/autoscaling.go
Yusuke Kuoka 4053ab3e11 Fix label support for TotalNumberOfQueuedAndInProgressWorkflowRuns metric (#1390)
In #1373 we made two mistakes:

- We mistakenly checked if all the runner labels are included in the job labels and only after that it marked the target as eligible for scale. It should definitely be the opposite!
- We mistakenly checked for the existence of `self-hosted` labe l in the job. [Although it should be a good practice to explicitly say `runs-on: ["self-hosted", "custom-label"]`](https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#example-using-labels-for-runner-selection), that's not a requirement so we should code accordingly.

The consequence of those two mistakes was that, for example, jobs with `self-hosted` + `custom` labels didn't result in scaling runner with `self-hosted` + `custom` + `custom2`. This should fix that.

Ref #1056
Ref #1373
2022-04-27 16:24:21 +01:00

372 lines
11 KiB
Go

package controllers
import (
"context"
"errors"
"fmt"
"math"
"strconv"
"strings"
"github.com/actions-runner-controller/actions-runner-controller/api/v1alpha1"
"github.com/google/go-github/v39/github"
)
const (
defaultScaleUpThreshold = 0.8
defaultScaleDownThreshold = 0.3
defaultScaleUpFactor = 1.3
defaultScaleDownFactor = 0.7
)
func (r *HorizontalRunnerAutoscalerReconciler) suggestDesiredReplicas(st scaleTarget, hra v1alpha1.HorizontalRunnerAutoscaler) (*int, error) {
if hra.Spec.MinReplicas == nil {
return nil, fmt.Errorf("horizontalrunnerautoscaler %s/%s is missing minReplicas", hra.Namespace, hra.Name)
} else if hra.Spec.MaxReplicas == nil {
return nil, fmt.Errorf("horizontalrunnerautoscaler %s/%s is missing maxReplicas", hra.Namespace, hra.Name)
}
metrics := hra.Spec.Metrics
numMetrics := len(metrics)
if numMetrics == 0 {
// We don't default to anything since ARC 0.23.0
// See https://github.com/actions-runner-controller/actions-runner-controller/issues/728
return nil, nil
} else if numMetrics > 2 {
return nil, fmt.Errorf("too many autoscaling metrics configured: It must be 0 to 2, but got %d", numMetrics)
}
primaryMetric := metrics[0]
primaryMetricType := primaryMetric.Type
var (
suggested *int
err error
)
switch primaryMetricType {
case v1alpha1.AutoscalingMetricTypeTotalNumberOfQueuedAndInProgressWorkflowRuns:
suggested, err = r.suggestReplicasByQueuedAndInProgressWorkflowRuns(st, hra, &primaryMetric)
case v1alpha1.AutoscalingMetricTypePercentageRunnersBusy:
suggested, err = r.suggestReplicasByPercentageRunnersBusy(st, hra, primaryMetric)
default:
return nil, fmt.Errorf("validating autoscaling metrics: unsupported metric type %q", primaryMetric)
}
if err != nil {
return nil, err
}
if suggested != nil && *suggested > 0 {
return suggested, nil
}
if len(metrics) == 1 {
// This is never supposed to happen but anyway-
// Fall-back to `minReplicas + capacityReservedThroughWebhook`.
return nil, nil
}
// At this point, we are sure that there are exactly 2 Metrics entries.
fallbackMetric := metrics[1]
fallbackMetricType := fallbackMetric.Type
if primaryMetricType != v1alpha1.AutoscalingMetricTypePercentageRunnersBusy ||
fallbackMetricType != v1alpha1.AutoscalingMetricTypeTotalNumberOfQueuedAndInProgressWorkflowRuns {
return nil, fmt.Errorf(
"invalid HRA Spec: Metrics[0] of %s cannot be combined with Metrics[1] of %s: The only allowed combination is 0=PercentageRunnersBusy and 1=TotalNumberOfQueuedAndInProgressWorkflowRuns",
primaryMetricType, fallbackMetricType,
)
}
return r.suggestReplicasByQueuedAndInProgressWorkflowRuns(st, hra, &fallbackMetric)
}
func (r *HorizontalRunnerAutoscalerReconciler) suggestReplicasByQueuedAndInProgressWorkflowRuns(st scaleTarget, hra v1alpha1.HorizontalRunnerAutoscaler, metrics *v1alpha1.MetricSpec) (*int, error) {
var repos [][]string
repoID := st.repo
if repoID == "" {
orgName := st.org
if orgName == "" {
return nil, fmt.Errorf("asserting runner deployment spec to detect bug: spec.template.organization should not be empty on this code path")
}
// In case it's an organizational runners deployment without any scaling metrics defined,
// we assume that the desired replicas should always be `minReplicas + capacityReservedThroughWebhook`.
// See https://github.com/actions-runner-controller/actions-runner-controller/issues/377#issuecomment-793372693
if metrics == nil {
return nil, nil
}
if len(metrics.RepositoryNames) == 0 {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].repositoryNames is required and must have one more more entries for organizational runner deployment")
}
for _, repoName := range metrics.RepositoryNames {
repos = append(repos, []string{orgName, repoName})
}
} else {
repo := strings.Split(repoID, "/")
repos = append(repos, repo)
}
var total, inProgress, queued, completed, unknown int
type callback func()
listWorkflowJobs := func(user string, repoName string, runID int64, fallback_cb callback) {
if runID == 0 {
fallback_cb()
return
}
opt := github.ListWorkflowJobsOptions{ListOptions: github.ListOptions{PerPage: 50}}
var allJobs []*github.WorkflowJob
for {
jobs, resp, err := r.GitHubClient.Actions.ListWorkflowJobs(context.TODO(), user, repoName, runID, &opt)
if err != nil {
r.Log.Error(err, "Error listing workflow jobs")
return //err
}
allJobs = append(allJobs, jobs.Jobs...)
if resp.NextPage == 0 {
break
}
opt.Page = resp.NextPage
}
if len(allJobs) == 0 {
fallback_cb()
} else {
JOB:
for _, job := range allJobs {
runnerLabels := make(map[string]struct{}, len(st.labels))
for _, l := range st.labels {
runnerLabels[l] = struct{}{}
}
if len(job.Labels) == 0 {
// This shouldn't usually happen
r.Log.Info("Detected job with no labels, which is not supported by ARC. Skipping anyway.", "labels", job.Labels, "run_id", job.GetRunID(), "job_id", job.GetID())
continue JOB
}
for _, l := range job.Labels {
if l == "self-hosted" {
continue
}
if _, ok := runnerLabels[l]; !ok {
continue JOB
}
}
switch job.GetStatus() {
case "completed":
// We add a case for `completed` so it is not counted in `unknown`.
// And we do not increment the counter for completed because
// that counter only refers to workflows. The reason for
// this is because we do not get a list of jobs for
// completed workflows in order to keep the number of API
// calls to a minimum.
case "in_progress":
inProgress++
case "queued":
queued++
default:
unknown++
}
}
}
}
for _, repo := range repos {
user, repoName := repo[0], repo[1]
workflowRuns, err := r.GitHubClient.ListRepositoryWorkflowRuns(context.TODO(), user, repoName)
if err != nil {
return nil, err
}
for _, run := range workflowRuns {
total++
// In May 2020, there are only 3 statuses.
// Follow the below links for more details:
// - https://developer.github.com/v3/actions/workflow-runs/#list-repository-workflow-runs
// - https://developer.github.com/v3/checks/runs/#create-a-check-run
switch run.GetStatus() {
case "completed":
completed++
case "in_progress":
listWorkflowJobs(user, repoName, run.GetID(), func() { inProgress++ })
case "queued":
listWorkflowJobs(user, repoName, run.GetID(), func() { queued++ })
default:
unknown++
}
}
}
necessaryReplicas := queued + inProgress
r.Log.V(1).Info(
fmt.Sprintf("Suggested desired replicas of %d by TotalNumberOfQueuedAndInProgressWorkflowRuns", necessaryReplicas),
"workflow_runs_completed", completed,
"workflow_runs_in_progress", inProgress,
"workflow_runs_queued", queued,
"workflow_runs_unknown", unknown,
"namespace", hra.Namespace,
"kind", st.kind,
"name", st.st,
"horizontal_runner_autoscaler", hra.Name,
)
return &necessaryReplicas, nil
}
func (r *HorizontalRunnerAutoscalerReconciler) suggestReplicasByPercentageRunnersBusy(st scaleTarget, hra v1alpha1.HorizontalRunnerAutoscaler, metrics v1alpha1.MetricSpec) (*int, error) {
ctx := context.Background()
scaleUpThreshold := defaultScaleUpThreshold
scaleDownThreshold := defaultScaleDownThreshold
scaleUpFactor := defaultScaleUpFactor
scaleDownFactor := defaultScaleDownFactor
if metrics.ScaleUpThreshold != "" {
sut, err := strconv.ParseFloat(metrics.ScaleUpThreshold, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleUpThreshold cannot be parsed into a float64")
}
scaleUpThreshold = sut
}
if metrics.ScaleDownThreshold != "" {
sdt, err := strconv.ParseFloat(metrics.ScaleDownThreshold, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleDownThreshold cannot be parsed into a float64")
}
scaleDownThreshold = sdt
}
scaleUpAdjustment := metrics.ScaleUpAdjustment
if scaleUpAdjustment != 0 {
if metrics.ScaleUpAdjustment < 0 {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleUpAdjustment cannot be lower than 0")
}
if metrics.ScaleUpFactor != "" {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[]: scaleUpAdjustment and scaleUpFactor cannot be specified together")
}
} else if metrics.ScaleUpFactor != "" {
suf, err := strconv.ParseFloat(metrics.ScaleUpFactor, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleUpFactor cannot be parsed into a float64")
}
scaleUpFactor = suf
}
scaleDownAdjustment := metrics.ScaleDownAdjustment
if scaleDownAdjustment != 0 {
if metrics.ScaleDownAdjustment < 0 {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleDownAdjustment cannot be lower than 0")
}
if metrics.ScaleDownFactor != "" {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[]: scaleDownAdjustment and scaleDownFactor cannot be specified together")
}
} else if metrics.ScaleDownFactor != "" {
sdf, err := strconv.ParseFloat(metrics.ScaleDownFactor, 64)
if err != nil {
return nil, errors.New("validating autoscaling metrics: spec.autoscaling.metrics[].scaleDownFactor cannot be parsed into a float64")
}
scaleDownFactor = sdf
}
runnerMap, err := st.getRunnerMap()
if err != nil {
return nil, err
}
var (
enterprise = st.enterprise
organization = st.org
repository = st.repo
)
// ListRunners will return all runners managed by GitHub - not restricted to ns
runners, err := r.GitHubClient.ListRunners(
ctx,
enterprise,
organization,
repository)
if err != nil {
return nil, err
}
var desiredReplicasBefore int
if v := st.replicas; v == nil {
desiredReplicasBefore = 1
} else {
desiredReplicasBefore = *v
}
var (
numRunners int
numRunnersRegistered int
numRunnersBusy int
)
numRunners = len(runnerMap)
for _, runner := range runners {
if _, ok := runnerMap[*runner.Name]; ok {
numRunnersRegistered++
if runner.GetBusy() {
numRunnersBusy++
}
}
}
var desiredReplicas int
fractionBusy := float64(numRunnersBusy) / float64(desiredReplicasBefore)
if fractionBusy >= scaleUpThreshold {
if scaleUpAdjustment > 0 {
desiredReplicas = desiredReplicasBefore + scaleUpAdjustment
} else {
desiredReplicas = int(math.Ceil(float64(desiredReplicasBefore) * scaleUpFactor))
}
} else if fractionBusy < scaleDownThreshold {
if scaleDownAdjustment > 0 {
desiredReplicas = desiredReplicasBefore - scaleDownAdjustment
} else {
desiredReplicas = int(float64(desiredReplicasBefore) * scaleDownFactor)
}
} else {
desiredReplicas = *st.replicas
}
// NOTES for operators:
//
// - num_runners can be as twice as large as replicas_desired_before while
// the runnerdeployment controller is replacing RunnerReplicaSet for runner update.
r.Log.V(1).Info(
fmt.Sprintf("Suggested desired replicas of %d by PercentageRunnersBusy", desiredReplicas),
"replicas_desired_before", desiredReplicasBefore,
"replicas_desired", desiredReplicas,
"num_runners", numRunners,
"num_runners_registered", numRunnersRegistered,
"num_runners_busy", numRunnersBusy,
"namespace", hra.Namespace,
"kind", st.kind,
"name", st.st,
"horizontal_runner_autoscaler", hra.Name,
"enterprise", enterprise,
"organization", organization,
"repository", repository,
)
return &desiredReplicas, nil
}