PVCs and CloudNativePG Clusters need S3 buckets and backup schedules
provisioned consistently. This operator watches the
backups.unkin.net/{schedule,destination} annotations on those objects and
provisions everything needed to back them up, with no new CRDs.
- Add a PVC controller that provisions cephrgw ObjectStoreUser/Bucket/BucketAccess,
auto-generates a restic repo-password Secret and creates a k8up Schedule scoped
to the PVC via spec.backup.volumes[].persistentVolumeClaim.claimName.
- Add a CNPG Cluster controller that provisions the same bucket stack, idempotently
patches spec.backup.barmanObjectStore (leaving a user-set destinationPath alone
with a Warning event) and creates a ScheduledBackup.
- Resolve destinations through a ConfigMap lookup table; requeue until the
BucketAccess is Ready before creating schedule resources; own-reference created
resources and retain bucket data by default.
- Add schedule-mapping helpers (k8up 5-field/shortcut pass-through, CNPG 6-field
seconds-first) and deterministic, length-bounded name derivation.
- Add unit tests (schedule mapping, name derivation, destination resolution) and
envtest controller tests for both paths, wiring the external CRDs into envtest.
- Add kubebuilder-generated RBAC, a Dockerfile (distroless/nonroot), Woodpecker
lint/test/build pipelines and a tag-triggered image push to the artifactapi
docker-internal registry, plus a version-bump Makefile and deploy manifests.
randfill
randfill is a library for populating go objects with random values.
This is a fork of github.com/google/gofuzz, which was archived.
NOTE: This repo is supported only for use within Kubernetes. It is not our intention to support general use. That said, if it works for you, that's great! If you have a problem, please feel free to file an issue, but be aware that it may not be a priority for us to fix it unless it is affecting Kubernetes. PRs are welcome, within reason.
This is useful for testing:
- Do your project's objects really serialize/unserialize correctly in all cases?
- Is there an incorrectly formatted object that will cause your project to panic?
Import with import "sigs.k8s.io/randfill"
You can use it on single variables:
f := randfill.New()
var myInt int
f.Fill(&myInt) // myInt gets a random value.
You can use it on maps:
f := randfill.New().NilChance(0).NumElements(1, 1)
var myMap map[ComplexKeyType]string
f.Fill(&myMap) // myMap will have exactly one element.
Customize the chance of getting a nil pointer:
f := randfill.New().NilChance(.5)
var fancyStruct struct {
A, B, C, D *string
}
f.Fill(&fancyStruct) // About half the pointers should be set.
You can even customize the randomization completely if needed:
type MyEnum string
const (
A MyEnum = "A"
B MyEnum = "B"
)
type MyInfo struct {
Type MyEnum
AInfo *string
BInfo *string
}
f := randfill.New().NilChance(0).Funcs(
func(e *MyInfo, c randfill.Continue) {
switch c.Intn(2) {
case 0:
e.Type = A
c.Fill(&e.AInfo)
case 1:
e.Type = B
c.Fill(&e.BInfo)
}
},
)
var myObject MyInfo
f.Fill(&myObject) // Type will correspond to whether A or B info is set.
See more examples in example_test.go.
dvyukov/go-fuzz integration
You can use this library for easier go-fuzzing.
go-fuzz provides the user a byte-slice, which should be converted to different inputs
for the tested function. This library can help convert the byte slice. Consider for
example a fuzz test for a the function mypackage.MyFunc that takes an int arguments:
// +build gofuzz
package mypackage
import "sigs.k8s.io/randfill"
func Fuzz(data []byte) int {
var i int
randfill.NewFromGoFuzz(data).Fill(&i)
MyFunc(i)
return 0
}
Happy testing!