* initial commit
* add support of integerts
* finialise the static provider
* minor refactoring
* the rest
* revert: the rest
* add new thiongs
* more tests added
* add ff parsing tests to check if types are handled correctly
* update tests according to recent changes
* address golint issues
* Update pkg/setting/setting_feature_toggles.go
Co-authored-by: Dave Henderson <dave.henderson@grafana.com>
* fix rebase issues
* addressing review comments
* add test cases for enterprise
* handle enterprise cases
* minor refactoring to make api a bit easier to debug
* make test names a bit more precise
* fix linter
* add openfeature sdk to goleak ignore in testutil
* Remove only boolean check in ff gen tests
* add non-boolean types top the doc in default.ini and doc string in FeatureFlag type
* apply remarks, add docs to sample.ini
* reflect changes in feature flags in the public grafana configuration doc
* fix doc formatting
* apply suggestions to the doc file
---------
Co-authored-by: Dave Henderson <dave.henderson@grafana.com>
* refactor: change GetReceiver to get by UID
to avoid conversions of name to uid back an forth
* refactor: consolidate all encrypt\decrypt functions
* move error from temporary location
* extra data source read methods
* update tests
* more tests
* fix more tests; actually initialize retriever instead of sending nil
* moving GetAllDataSources isn't strictly required, so keep to minimal changes
* better name for retriever logger
Co-authored-by: Dafydd <72009875+dafydd-t@users.noreply.github.com>
* add compile-time check for DS retriever impl
---------
Co-authored-by: Dafydd <72009875+dafydd-t@users.noreply.github.com>
Co-authored-by: Stephanie Hingtgen <stephanie.hingtgen@grafana.com>
* feat(pyroscope): Exemplar support for series queries
use enum flag, add exemplar flag to explore
disable exemplars on explore as well
tests
feature toggle
fixing tests
* resolve conflicts
* lint
* Alerting: Update RuleGroupConfig definitions with missing fields
This update adds previously missing fields to the `RuleGroupConfig` structs to
ensure compatibility with external Prometheus-like rulers.
Includes:
- `labels`: per https://github.com/prometheus/prometheus/pull/11474
- `remote_write`: per https://github
.com/grafana/mimir/blob/56f33fed6254fee5a53bde1eab36c604863e3d5f/pkg/mimirtool/rules/rwrulefmt/rulefmt.go#L16
Note: This does not add full support in Grafana; it only allows these fields to
pass through the alerting proxy without causing unmarshal errors when using
external rulers.
* Update OpenAPI spec
* Secrets: changes to allow a 3rd party keeper / secret references
* fix test
* make gofmt
* lint
* fix tests
* assign aws secrets manager to @grafana/grafana-operator-experience-squad
* rename Keeper.Reference to Keeper.RetrieveReference
* rename ModelSecretsManager to ModelAWSSecretsManager
* validator: ensure that only one of keeper.Spec.Aws.AccessKey or keeper.Spec.Aws.AssumeRole are set
* move secrets manager dep / go mod tidy
* move secrets manager dep
* keeper validator: move 3rd party secret stores validation to their own functions
* add github.com/aws/aws-sdk-go-v2/service/secretsmanager pkg/extensions/enterprise_imports
* make update-workspace
* undo go.mod changes in /apps
* make update-workspace
* fix test
* add github.com/aws/aws-sdk-go-v2/service/secretsmanager to enterprise_imports
* make update-workspace
* gcworker: handle refs
* make update-workspace
* create toggle: FeatureStageExperimental
* allow features.IsEnabled for now
* format
* Transformers: Add smoothing transformer
Added a smoothing transformer to help clean up noisy time series data.
It uses the ASAP algorithm to pick the most important data points while
keeping the overall shape and trends intact.
The transformer always keeps the first and last points so you get the
complete time range. I also added a test for it.
* Change category
Change category from Reformat to CalculateNewFields
* Remove first/last point preservation
* Fix operator recreation
* Simplify ASAP code
Include performance optimization as well
* Refactor interpolateFromSmoothedCurve
Break function into smaller focused functions and lift functions to the
top level
* Add isApplicable Check
Make sure the transformer is applicable for timeseries data
* Add tests for isApplicable check
* UI/UX improvements: Display effective resolution when limited by data points
Show "Effective: X" indicator when resolution is capped by the 2x data
points multiplier. Includes tooltip explaining the limit.
Memoizes calculation to prevent unnecessary recalculation on re-renders.
Example: With 72 data points and resolution set to 150, displays
"Effective: 144" since the limit is 72 x 2 = 144.
Plus added tests
* Improve discoverability by adding tags
* Preserve Original Data
Let's preserve original data as well, makes the UX so much better.
Changed from appending (smoothed) to frame names to use Smoothed frame name. This should match the pattern used by other transformers (e.g,. regression)
Updated tests accordingly
Updated tooltip note
* Add asap tests
Basic functionality:
* returns valid DataPoint objects
* Maintain x-axis ordering
Edge cases:
* Empty array
* single data point
* filter NaN values
* all NaN values
* sort unsorted data
* negative values
* Update dark and light images
* Clear state cache
* Add feature toggle
* Conditionally add new transformation to the registry
* chore: update and regenerate feature toggles
* chore: update yarn.lock
* chore: fix transformers and imports
* add support for skip TLS verify
* extract constructor for ExternalAMcfg and tests
* extract constructor for AlertmanagerConfig and tests
* add support for client cert auth
Galen Kistler
Denis Vodopianov
Nick Richmond
Matias Chomicki
Rafael Bortolon Paulovic
Ryan McKinley
Gareth
Gabriel MABILLE
Victor Cinaglia
Yuri Tseretyan
Stephanie Hingtgen
Alexander Zobnin
Tom Ratcliffe
Matheus Macabu
Gilles De Mey
Misi
Joey
Charandas
Cory Forseth
Alberto
Will Browne
Tania
Matthew Jacobson
Matt Cowley
Bruno
Alexander Akhmetov
vesalaakso-oura
Ashley Harrison
Jo