Merge pull request #843 from tyrken/add-preserve-unknown-false-crds

Add preserveUnknown=false to crds
This commit is contained in:
Yusuke Kuoka 2021-09-24 09:25:02 +09:00 committed by GitHub
commit 2e325fa176
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GPG Key ID: 4AEE18F83AFDEB23
11 changed files with 37509 additions and 61235 deletions

View File

@ -86,8 +86,11 @@ deploy: manifests
# Generate manifests e.g. CRD, RBAC etc.
manifests: manifests-gen-crds chart-crds
manifests-gen-crds: controller-gen
manifests-gen-crds: controller-gen yq
$(CONTROLLER_GEN) $(CRD_OPTIONS) rbac:roleName=manager-role webhook paths="./..." output:crd:artifacts:config=config/crd/bases
for YAMLFILE in config/crd/bases/actions*.yaml; do \
$(YQ) write --inplace "$$YAMLFILE" spec.preserveUnknownFields false; \
done
chart-crds:
cp config/crd/bases/*.yaml charts/actions-runner-controller/crds/
@ -227,6 +230,23 @@ else
CONTROLLER_GEN=$(shell which controller-gen)
endif
# find or download yq
# download yq if necessary
# Use always go-version to get consistent line wraps etc.
yq:
ifeq (, $(wildcard $(GOBIN)/yq))
echo "Downloading yq"
@{ \
set -e ;\
YQ_TMP_DIR=$$(mktemp -d) ;\
cd $$YQ_TMP_DIR ;\
go mod init tmp ;\
go get github.com/mikefarah/yq/v3@3.4.0 ;\
rm -rf $$YQ_TMP_DIR ;\
}
endif
YQ=$(GOBIN)/yq
OS_NAME := $(shell uname -s | tr A-Z a-z)
# find or download etcd

View File

@ -1,5 +1,3 @@
---
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
@ -14,291 +12,228 @@ spec:
listKind: HorizontalRunnerAutoscalerList
plural: horizontalrunnerautoscalers
shortNames:
- hra
- hra
singular: horizontalrunnerautoscaler
scope: Namespaced
versions:
- additionalPrinterColumns:
- jsonPath: .spec.minReplicas
name: Min
type: number
- jsonPath: .spec.maxReplicas
name: Max
type: number
- jsonPath: .status.desiredReplicas
name: Desired
type: number
- jsonPath: .status.scheduledOverridesSummary
name: Schedule
type: string
name: v1alpha1
schema:
openAPIV3Schema:
description: HorizontalRunnerAutoscaler is the Schema for the horizontalrunnerautoscaler
API
properties:
apiVersion:
description: 'APIVersion defines the versioned schema of this representation
of an object. Servers should convert recognized schemas to the latest
internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources'
type: string
kind:
description: 'Kind is a string value representing the REST resource this
object represents. Servers may infer this from the endpoint the client
submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds'
type: string
metadata:
type: object
spec:
description: HorizontalRunnerAutoscalerSpec defines the desired state
of HorizontalRunnerAutoscaler
properties:
capacityReservations:
items:
description: CapacityReservation specifies the number of replicas
temporarily added to the scale target until ExpirationTime.
- additionalPrinterColumns:
- jsonPath: .spec.minReplicas
name: Min
type: number
- jsonPath: .spec.maxReplicas
name: Max
type: number
- jsonPath: .status.desiredReplicas
name: Desired
type: number
- jsonPath: .status.scheduledOverridesSummary
name: Schedule
type: string
name: v1alpha1
schema:
openAPIV3Schema:
description: HorizontalRunnerAutoscaler is the Schema for the horizontalrunnerautoscaler API
properties:
apiVersion:
description: 'APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources'
type: string
kind:
description: 'Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds'
type: string
metadata:
type: object
spec:
description: HorizontalRunnerAutoscalerSpec defines the desired state of HorizontalRunnerAutoscaler
properties:
capacityReservations:
items:
description: CapacityReservation specifies the number of replicas temporarily added to the scale target until ExpirationTime.
properties:
expirationTime:
format: date-time
type: string
name:
type: string
replicas:
type: integer
type: object
type: array
maxReplicas:
description: MinReplicas is the maximum number of replicas the deployment is allowed to scale
type: integer
metrics:
description: Metrics is the collection of various metric targets to calculate desired number of runners
items:
properties:
repositoryNames:
description: RepositoryNames is the list of repository names to be used for calculating the metric. For example, a repository name is the REPO part of `github.com/USER/REPO`.
items:
type: string
type: array
scaleDownAdjustment:
description: ScaleDownAdjustment is the number of runners removed on scale-down. You can only specify either ScaleDownFactor or ScaleDownAdjustment.
type: integer
scaleDownFactor:
description: ScaleDownFactor is the multiplicative factor applied to the current number of runners used to determine how many pods should be removed.
type: string
scaleDownThreshold:
description: ScaleDownThreshold is the percentage of busy runners less than which will trigger the hpa to scale the runners down.
type: string
scaleUpAdjustment:
description: ScaleUpAdjustment is the number of runners added on scale-up. You can only specify either ScaleUpFactor or ScaleUpAdjustment.
type: integer
scaleUpFactor:
description: ScaleUpFactor is the multiplicative factor applied to the current number of runners used to determine how many pods should be added.
type: string
scaleUpThreshold:
description: ScaleUpThreshold is the percentage of busy runners greater than which will trigger the hpa to scale runners up.
type: string
type:
description: Type is the type of metric to be used for autoscaling. The only supported Type is TotalNumberOfQueuedAndInProgressWorkflowRuns
type: string
type: object
type: array
minReplicas:
description: MinReplicas is the minimum number of replicas the deployment is allowed to scale
type: integer
scaleDownDelaySecondsAfterScaleOut:
description: ScaleDownDelaySecondsAfterScaleUp is the approximate delay for a scale down followed by a scale up Used to prevent flapping (down->up->down->... loop)
type: integer
scaleTargetRef:
description: ScaleTargetRef sis the reference to scaled resource like RunnerDeployment
properties:
expirationTime:
format: date-time
kind:
description: Kind is the type of resource being referenced
enum:
- RunnerDeployment
- RunnerSet
type: string
name:
description: Name is the name of resource being referenced
type: string
replicas:
type: integer
type: object
type: array
maxReplicas:
description: MinReplicas is the maximum number of replicas the deployment
is allowed to scale
type: integer
metrics:
description: Metrics is the collection of various metric targets to
calculate desired number of runners
items:
properties:
repositoryNames:
description: RepositoryNames is the list of repository names
to be used for calculating the metric. For example, a repository
name is the REPO part of `github.com/USER/REPO`.
items:
scaleUpTriggers:
description: "ScaleUpTriggers is an experimental feature to increase the desired replicas by 1 on each webhook requested received by the webhookBasedAutoscaler. \n This feature requires you to also enable and deploy the webhookBasedAutoscaler onto your cluster. \n Note that the added runners remain until the next sync period at least, and they may or may not be used by GitHub Actions depending on the timing. They are intended to be used to gain \"resource slack\" immediately after you receive a webhook from GitHub, so that you can loosely expect MinReplicas runners to be always available."
items:
properties:
amount:
type: integer
duration:
type: string
type: array
scaleDownAdjustment:
description: ScaleDownAdjustment is the number of runners removed
on scale-down. You can only specify either ScaleDownFactor
or ScaleDownAdjustment.
type: integer
scaleDownFactor:
description: ScaleDownFactor is the multiplicative factor applied
to the current number of runners used to determine how many
pods should be removed.
type: string
scaleDownThreshold:
description: ScaleDownThreshold is the percentage of busy runners
less than which will trigger the hpa to scale the runners
down.
type: string
scaleUpAdjustment:
description: ScaleUpAdjustment is the number of runners added
on scale-up. You can only specify either ScaleUpFactor or
ScaleUpAdjustment.
type: integer
scaleUpFactor:
description: ScaleUpFactor is the multiplicative factor applied
to the current number of runners used to determine how many
pods should be added.
type: string
scaleUpThreshold:
description: ScaleUpThreshold is the percentage of busy runners
greater than which will trigger the hpa to scale runners up.
type: string
type:
description: Type is the type of metric to be used for autoscaling.
The only supported Type is TotalNumberOfQueuedAndInProgressWorkflowRuns
type: string
type: object
type: array
minReplicas:
description: MinReplicas is the minimum number of replicas the deployment
is allowed to scale
type: integer
scaleDownDelaySecondsAfterScaleOut:
description: ScaleDownDelaySecondsAfterScaleUp is the approximate
delay for a scale down followed by a scale up Used to prevent flapping
(down->up->down->... loop)
type: integer
scaleTargetRef:
description: ScaleTargetRef sis the reference to scaled resource like
RunnerDeployment
properties:
kind:
description: Kind is the type of resource being referenced
enum:
- RunnerDeployment
- RunnerSet
type: string
name:
description: Name is the name of resource being referenced
type: string
type: object
scaleUpTriggers:
description: "ScaleUpTriggers is an experimental feature to increase
the desired replicas by 1 on each webhook requested received by
the webhookBasedAutoscaler. \n This feature requires you to also
enable and deploy the webhookBasedAutoscaler onto your cluster.
\n Note that the added runners remain until the next sync period
at least, and they may or may not be used by GitHub Actions depending
on the timing. They are intended to be used to gain \"resource slack\"
immediately after you receive a webhook from GitHub, so that you
can loosely expect MinReplicas runners to be always available."
items:
properties:
amount:
type: integer
duration:
type: string
githubEvent:
properties:
checkRun:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#check_run
properties:
names:
description: Names is a list of GitHub Actions glob
patterns. Any check_run event whose name matches one
of patterns in the list can trigger autoscaling. Note
that check_run name seem to equal to the job name
you've defined in your actions workflow yaml file.
So it is very likely that you can utilize this to
trigger depending on the job.
items:
githubEvent:
properties:
checkRun:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#check_run
properties:
names:
description: Names is a list of GitHub Actions glob patterns. Any check_run event whose name matches one of patterns in the list can trigger autoscaling. Note that check_run name seem to equal to the job name you've defined in your actions workflow yaml file. So it is very likely that you can utilize this to trigger depending on the job.
items:
type: string
type: array
repositories:
description: Repositories is a list of GitHub repositories. Any check_run event whose repository matches one of repositories in the list can trigger autoscaling.
items:
type: string
type: array
status:
type: string
type: array
repositories:
description: Repositories is a list of GitHub repositories.
Any check_run event whose repository matches one of
repositories in the list can trigger autoscaling.
items:
type: string
type: array
status:
type: string
types:
items:
type: string
type: array
type: object
pullRequest:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#pull_request
properties:
branches:
items:
type: string
type: array
types:
items:
type: string
type: array
type: object
push:
description: PushSpec is the condition for triggering scale-up
on push event Also see https://docs.github.com/en/actions/reference/events-that-trigger-workflows#push
type: object
type: object
type: object
type: array
scheduledOverrides:
description: ScheduledOverrides is the list of ScheduledOverride.
It can be used to override a few fields of HorizontalRunnerAutoscalerSpec
on schedule. The earlier a scheduled override is, the higher it
is prioritized.
items:
description: ScheduledOverride can be used to override a few fields
of HorizontalRunnerAutoscalerSpec on schedule. A schedule can
optionally be recurring, so that the correspoding override happens
every day, week, month, or year.
properties:
endTime:
description: EndTime is the time at which the first override
ends.
format: date-time
type: string
minReplicas:
description: MinReplicas is the number of runners while overriding.
If omitted, it doesn't override minReplicas.
minimum: 0
nullable: true
type: integer
recurrenceRule:
properties:
frequency:
description: Frequency is the name of a predefined interval
of each recurrence. The valid values are "Daily", "Weekly",
"Monthly", and "Yearly". If empty, the corresponding override
happens only once.
enum:
- Daily
- Weekly
- Monthly
- Yearly
type: string
untilTime:
description: UntilTime is the time of the final recurrence.
If empty, the schedule recurs forever.
format: date-time
type: string
type: object
startTime:
description: StartTime is the time at which the first override
starts.
format: date-time
type: string
required:
- endTime
- startTime
type: object
type: array
type: object
status:
properties:
cacheEntries:
items:
properties:
expirationTime:
format: date-time
type: string
key:
type: string
value:
type: integer
type: object
type: array
desiredReplicas:
description: DesiredReplicas is the total number of desired, non-terminated
and latest pods to be set for the primary RunnerSet This doesn't
include outdated pods while upgrading the deployment and replacing
the runnerset.
type: integer
lastSuccessfulScaleOutTime:
format: date-time
nullable: true
type: string
observedGeneration:
description: ObservedGeneration is the most recent generation observed
for the target. It corresponds to e.g. RunnerDeployment's generation,
which is updated on mutation by the API Server.
format: int64
type: integer
scheduledOverridesSummary:
description: ScheduledOverridesSummary is the summary of active and
upcoming scheduled overrides to be shown in e.g. a column of a `kubectl
get hra` output for observability.
type: string
type: object
type: object
served: true
storage: true
subresources:
status: {}
types:
items:
type: string
type: array
type: object
pullRequest:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#pull_request
properties:
branches:
items:
type: string
type: array
types:
items:
type: string
type: array
type: object
push:
description: PushSpec is the condition for triggering scale-up on push event Also see https://docs.github.com/en/actions/reference/events-that-trigger-workflows#push
type: object
type: object
type: object
type: array
scheduledOverrides:
description: ScheduledOverrides is the list of ScheduledOverride. It can be used to override a few fields of HorizontalRunnerAutoscalerSpec on schedule. The earlier a scheduled override is, the higher it is prioritized.
items:
description: ScheduledOverride can be used to override a few fields of HorizontalRunnerAutoscalerSpec on schedule. A schedule can optionally be recurring, so that the correspoding override happens every day, week, month, or year.
properties:
endTime:
description: EndTime is the time at which the first override ends.
format: date-time
type: string
minReplicas:
description: MinReplicas is the number of runners while overriding. If omitted, it doesn't override minReplicas.
minimum: 0
nullable: true
type: integer
recurrenceRule:
properties:
frequency:
description: Frequency is the name of a predefined interval of each recurrence. The valid values are "Daily", "Weekly", "Monthly", and "Yearly". If empty, the corresponding override happens only once.
enum:
- Daily
- Weekly
- Monthly
- Yearly
type: string
untilTime:
description: UntilTime is the time of the final recurrence. If empty, the schedule recurs forever.
format: date-time
type: string
type: object
startTime:
description: StartTime is the time at which the first override starts.
format: date-time
type: string
required:
- endTime
- startTime
type: object
type: array
type: object
status:
properties:
cacheEntries:
items:
properties:
expirationTime:
format: date-time
type: string
key:
type: string
value:
type: integer
type: object
type: array
desiredReplicas:
description: DesiredReplicas is the total number of desired, non-terminated and latest pods to be set for the primary RunnerSet This doesn't include outdated pods while upgrading the deployment and replacing the runnerset.
type: integer
lastSuccessfulScaleOutTime:
format: date-time
nullable: true
type: string
observedGeneration:
description: ObservedGeneration is the most recent generation observed for the target. It corresponds to e.g. RunnerDeployment's generation, which is updated on mutation by the API Server.
format: int64
type: integer
scheduledOverridesSummary:
description: ScheduledOverridesSummary is the summary of active and upcoming scheduled overrides to be shown in e.g. a column of a `kubectl get hra` output for observability.
type: string
type: object
type: object
served: true
storage: true
subresources:
status: {}
preserveUnknownFields: false
status:
acceptedNames:
kind: ""

View File

@ -1,5 +1,3 @@
---
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
@ -14,291 +12,228 @@ spec:
listKind: HorizontalRunnerAutoscalerList
plural: horizontalrunnerautoscalers
shortNames:
- hra
- hra
singular: horizontalrunnerautoscaler
scope: Namespaced
versions:
- additionalPrinterColumns:
- jsonPath: .spec.minReplicas
name: Min
type: number
- jsonPath: .spec.maxReplicas
name: Max
type: number
- jsonPath: .status.desiredReplicas
name: Desired
type: number
- jsonPath: .status.scheduledOverridesSummary
name: Schedule
type: string
name: v1alpha1
schema:
openAPIV3Schema:
description: HorizontalRunnerAutoscaler is the Schema for the horizontalrunnerautoscaler
API
properties:
apiVersion:
description: 'APIVersion defines the versioned schema of this representation
of an object. Servers should convert recognized schemas to the latest
internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources'
type: string
kind:
description: 'Kind is a string value representing the REST resource this
object represents. Servers may infer this from the endpoint the client
submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds'
type: string
metadata:
type: object
spec:
description: HorizontalRunnerAutoscalerSpec defines the desired state
of HorizontalRunnerAutoscaler
properties:
capacityReservations:
items:
description: CapacityReservation specifies the number of replicas
temporarily added to the scale target until ExpirationTime.
- additionalPrinterColumns:
- jsonPath: .spec.minReplicas
name: Min
type: number
- jsonPath: .spec.maxReplicas
name: Max
type: number
- jsonPath: .status.desiredReplicas
name: Desired
type: number
- jsonPath: .status.scheduledOverridesSummary
name: Schedule
type: string
name: v1alpha1
schema:
openAPIV3Schema:
description: HorizontalRunnerAutoscaler is the Schema for the horizontalrunnerautoscaler API
properties:
apiVersion:
description: 'APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources'
type: string
kind:
description: 'Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds'
type: string
metadata:
type: object
spec:
description: HorizontalRunnerAutoscalerSpec defines the desired state of HorizontalRunnerAutoscaler
properties:
capacityReservations:
items:
description: CapacityReservation specifies the number of replicas temporarily added to the scale target until ExpirationTime.
properties:
expirationTime:
format: date-time
type: string
name:
type: string
replicas:
type: integer
type: object
type: array
maxReplicas:
description: MinReplicas is the maximum number of replicas the deployment is allowed to scale
type: integer
metrics:
description: Metrics is the collection of various metric targets to calculate desired number of runners
items:
properties:
repositoryNames:
description: RepositoryNames is the list of repository names to be used for calculating the metric. For example, a repository name is the REPO part of `github.com/USER/REPO`.
items:
type: string
type: array
scaleDownAdjustment:
description: ScaleDownAdjustment is the number of runners removed on scale-down. You can only specify either ScaleDownFactor or ScaleDownAdjustment.
type: integer
scaleDownFactor:
description: ScaleDownFactor is the multiplicative factor applied to the current number of runners used to determine how many pods should be removed.
type: string
scaleDownThreshold:
description: ScaleDownThreshold is the percentage of busy runners less than which will trigger the hpa to scale the runners down.
type: string
scaleUpAdjustment:
description: ScaleUpAdjustment is the number of runners added on scale-up. You can only specify either ScaleUpFactor or ScaleUpAdjustment.
type: integer
scaleUpFactor:
description: ScaleUpFactor is the multiplicative factor applied to the current number of runners used to determine how many pods should be added.
type: string
scaleUpThreshold:
description: ScaleUpThreshold is the percentage of busy runners greater than which will trigger the hpa to scale runners up.
type: string
type:
description: Type is the type of metric to be used for autoscaling. The only supported Type is TotalNumberOfQueuedAndInProgressWorkflowRuns
type: string
type: object
type: array
minReplicas:
description: MinReplicas is the minimum number of replicas the deployment is allowed to scale
type: integer
scaleDownDelaySecondsAfterScaleOut:
description: ScaleDownDelaySecondsAfterScaleUp is the approximate delay for a scale down followed by a scale up Used to prevent flapping (down->up->down->... loop)
type: integer
scaleTargetRef:
description: ScaleTargetRef sis the reference to scaled resource like RunnerDeployment
properties:
expirationTime:
format: date-time
kind:
description: Kind is the type of resource being referenced
enum:
- RunnerDeployment
- RunnerSet
type: string
name:
description: Name is the name of resource being referenced
type: string
replicas:
type: integer
type: object
type: array
maxReplicas:
description: MinReplicas is the maximum number of replicas the deployment
is allowed to scale
type: integer
metrics:
description: Metrics is the collection of various metric targets to
calculate desired number of runners
items:
properties:
repositoryNames:
description: RepositoryNames is the list of repository names
to be used for calculating the metric. For example, a repository
name is the REPO part of `github.com/USER/REPO`.
items:
scaleUpTriggers:
description: "ScaleUpTriggers is an experimental feature to increase the desired replicas by 1 on each webhook requested received by the webhookBasedAutoscaler. \n This feature requires you to also enable and deploy the webhookBasedAutoscaler onto your cluster. \n Note that the added runners remain until the next sync period at least, and they may or may not be used by GitHub Actions depending on the timing. They are intended to be used to gain \"resource slack\" immediately after you receive a webhook from GitHub, so that you can loosely expect MinReplicas runners to be always available."
items:
properties:
amount:
type: integer
duration:
type: string
type: array
scaleDownAdjustment:
description: ScaleDownAdjustment is the number of runners removed
on scale-down. You can only specify either ScaleDownFactor
or ScaleDownAdjustment.
type: integer
scaleDownFactor:
description: ScaleDownFactor is the multiplicative factor applied
to the current number of runners used to determine how many
pods should be removed.
type: string
scaleDownThreshold:
description: ScaleDownThreshold is the percentage of busy runners
less than which will trigger the hpa to scale the runners
down.
type: string
scaleUpAdjustment:
description: ScaleUpAdjustment is the number of runners added
on scale-up. You can only specify either ScaleUpFactor or
ScaleUpAdjustment.
type: integer
scaleUpFactor:
description: ScaleUpFactor is the multiplicative factor applied
to the current number of runners used to determine how many
pods should be added.
type: string
scaleUpThreshold:
description: ScaleUpThreshold is the percentage of busy runners
greater than which will trigger the hpa to scale runners up.
type: string
type:
description: Type is the type of metric to be used for autoscaling.
The only supported Type is TotalNumberOfQueuedAndInProgressWorkflowRuns
type: string
type: object
type: array
minReplicas:
description: MinReplicas is the minimum number of replicas the deployment
is allowed to scale
type: integer
scaleDownDelaySecondsAfterScaleOut:
description: ScaleDownDelaySecondsAfterScaleUp is the approximate
delay for a scale down followed by a scale up Used to prevent flapping
(down->up->down->... loop)
type: integer
scaleTargetRef:
description: ScaleTargetRef sis the reference to scaled resource like
RunnerDeployment
properties:
kind:
description: Kind is the type of resource being referenced
enum:
- RunnerDeployment
- RunnerSet
type: string
name:
description: Name is the name of resource being referenced
type: string
type: object
scaleUpTriggers:
description: "ScaleUpTriggers is an experimental feature to increase
the desired replicas by 1 on each webhook requested received by
the webhookBasedAutoscaler. \n This feature requires you to also
enable and deploy the webhookBasedAutoscaler onto your cluster.
\n Note that the added runners remain until the next sync period
at least, and they may or may not be used by GitHub Actions depending
on the timing. They are intended to be used to gain \"resource slack\"
immediately after you receive a webhook from GitHub, so that you
can loosely expect MinReplicas runners to be always available."
items:
properties:
amount:
type: integer
duration:
type: string
githubEvent:
properties:
checkRun:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#check_run
properties:
names:
description: Names is a list of GitHub Actions glob
patterns. Any check_run event whose name matches one
of patterns in the list can trigger autoscaling. Note
that check_run name seem to equal to the job name
you've defined in your actions workflow yaml file.
So it is very likely that you can utilize this to
trigger depending on the job.
items:
githubEvent:
properties:
checkRun:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#check_run
properties:
names:
description: Names is a list of GitHub Actions glob patterns. Any check_run event whose name matches one of patterns in the list can trigger autoscaling. Note that check_run name seem to equal to the job name you've defined in your actions workflow yaml file. So it is very likely that you can utilize this to trigger depending on the job.
items:
type: string
type: array
repositories:
description: Repositories is a list of GitHub repositories. Any check_run event whose repository matches one of repositories in the list can trigger autoscaling.
items:
type: string
type: array
status:
type: string
type: array
repositories:
description: Repositories is a list of GitHub repositories.
Any check_run event whose repository matches one of
repositories in the list can trigger autoscaling.
items:
type: string
type: array
status:
type: string
types:
items:
type: string
type: array
type: object
pullRequest:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#pull_request
properties:
branches:
items:
type: string
type: array
types:
items:
type: string
type: array
type: object
push:
description: PushSpec is the condition for triggering scale-up
on push event Also see https://docs.github.com/en/actions/reference/events-that-trigger-workflows#push
type: object
type: object
type: object
type: array
scheduledOverrides:
description: ScheduledOverrides is the list of ScheduledOverride.
It can be used to override a few fields of HorizontalRunnerAutoscalerSpec
on schedule. The earlier a scheduled override is, the higher it
is prioritized.
items:
description: ScheduledOverride can be used to override a few fields
of HorizontalRunnerAutoscalerSpec on schedule. A schedule can
optionally be recurring, so that the correspoding override happens
every day, week, month, or year.
properties:
endTime:
description: EndTime is the time at which the first override
ends.
format: date-time
type: string
minReplicas:
description: MinReplicas is the number of runners while overriding.
If omitted, it doesn't override minReplicas.
minimum: 0
nullable: true
type: integer
recurrenceRule:
properties:
frequency:
description: Frequency is the name of a predefined interval
of each recurrence. The valid values are "Daily", "Weekly",
"Monthly", and "Yearly". If empty, the corresponding override
happens only once.
enum:
- Daily
- Weekly
- Monthly
- Yearly
type: string
untilTime:
description: UntilTime is the time of the final recurrence.
If empty, the schedule recurs forever.
format: date-time
type: string
type: object
startTime:
description: StartTime is the time at which the first override
starts.
format: date-time
type: string
required:
- endTime
- startTime
type: object
type: array
type: object
status:
properties:
cacheEntries:
items:
properties:
expirationTime:
format: date-time
type: string
key:
type: string
value:
type: integer
type: object
type: array
desiredReplicas:
description: DesiredReplicas is the total number of desired, non-terminated
and latest pods to be set for the primary RunnerSet This doesn't
include outdated pods while upgrading the deployment and replacing
the runnerset.
type: integer
lastSuccessfulScaleOutTime:
format: date-time
nullable: true
type: string
observedGeneration:
description: ObservedGeneration is the most recent generation observed
for the target. It corresponds to e.g. RunnerDeployment's generation,
which is updated on mutation by the API Server.
format: int64
type: integer
scheduledOverridesSummary:
description: ScheduledOverridesSummary is the summary of active and
upcoming scheduled overrides to be shown in e.g. a column of a `kubectl
get hra` output for observability.
type: string
type: object
type: object
served: true
storage: true
subresources:
status: {}
types:
items:
type: string
type: array
type: object
pullRequest:
description: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#pull_request
properties:
branches:
items:
type: string
type: array
types:
items:
type: string
type: array
type: object
push:
description: PushSpec is the condition for triggering scale-up on push event Also see https://docs.github.com/en/actions/reference/events-that-trigger-workflows#push
type: object
type: object
type: object
type: array
scheduledOverrides:
description: ScheduledOverrides is the list of ScheduledOverride. It can be used to override a few fields of HorizontalRunnerAutoscalerSpec on schedule. The earlier a scheduled override is, the higher it is prioritized.
items:
description: ScheduledOverride can be used to override a few fields of HorizontalRunnerAutoscalerSpec on schedule. A schedule can optionally be recurring, so that the correspoding override happens every day, week, month, or year.
properties:
endTime:
description: EndTime is the time at which the first override ends.
format: date-time
type: string
minReplicas:
description: MinReplicas is the number of runners while overriding. If omitted, it doesn't override minReplicas.
minimum: 0
nullable: true
type: integer
recurrenceRule:
properties:
frequency:
description: Frequency is the name of a predefined interval of each recurrence. The valid values are "Daily", "Weekly", "Monthly", and "Yearly". If empty, the corresponding override happens only once.
enum:
- Daily
- Weekly
- Monthly
- Yearly
type: string
untilTime:
description: UntilTime is the time of the final recurrence. If empty, the schedule recurs forever.
format: date-time
type: string
type: object
startTime:
description: StartTime is the time at which the first override starts.
format: date-time
type: string
required:
- endTime
- startTime
type: object
type: array
type: object
status:
properties:
cacheEntries:
items:
properties:
expirationTime:
format: date-time
type: string
key:
type: string
value:
type: integer
type: object
type: array
desiredReplicas:
description: DesiredReplicas is the total number of desired, non-terminated and latest pods to be set for the primary RunnerSet This doesn't include outdated pods while upgrading the deployment and replacing the runnerset.
type: integer
lastSuccessfulScaleOutTime:
format: date-time
nullable: true
type: string
observedGeneration:
description: ObservedGeneration is the most recent generation observed for the target. It corresponds to e.g. RunnerDeployment's generation, which is updated on mutation by the API Server.
format: int64
type: integer
scheduledOverridesSummary:
description: ScheduledOverridesSummary is the summary of active and upcoming scheduled overrides to be shown in e.g. a column of a `kubectl get hra` output for observability.
type: string
type: object
type: object
served: true
storage: true
subresources:
status: {}
preserveUnknownFields: false
status:
acceptedNames:
kind: ""

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