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..

23 Commits

Author SHA1 Message Date
Naman Verma
95b7331e42 Merge branch 'main' into nv/schema-changes 2026-06-18 21:09:40 +05:30
Naman Verma
3531ed86f1 fix: reject single-element list default when allowMultiple is false in list variables 2026-06-18 21:08:36 +05:30
Naman Verma
805543cd0d Merge branch 'main' into nv/schema-changes 2026-06-18 20:54:49 +05:30
Naman Verma
9efa0f757d fix: add back enum values 2026-06-18 20:54:16 +05:30
Vinicius Lourenço
b8567664da refactor(quick-filters): split checkbox into multiple files (#11768)
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* refactor(quick-filters): extract checkbox value fetching into hook

* refactor(quick-filters): extract checkbox query algebra into pure module

* refactor(quick-filters): extract checkbox glue hooks

* refactor(quick-filters): split checkbox renderers into components
2026-06-18 15:20:16 +00:00
Ashwin Bhatkal
01897f7869 chore: fix variable sort type errors 2026-06-18 19:50:30 +05:30
Vinicius Lourenço
643aac4424 fix(alerts): missing fields when duplicating via edit alert (#11767) 2026-06-18 13:30:08 +00:00
Naman Verma
d1248ab5a3 chore: remove unsupported enum values (causing errors right now) 2026-06-18 18:00:56 +05:30
Naman Verma
ddf2f3ec53 chore: replicate variable.sort into signoz 2026-06-18 17:39:06 +05:30
Naman Verma
ad4e5b8b89 Merge branch 'main' into nv/schema-changes 2026-06-18 15:40:34 +05:30
Naman Verma
8be973ac14 Merge branch 'main' into nv/schema-changes 2026-06-17 22:00:28 +05:30
Naman Verma
f2422c1fdd fix: replicate text variable spec in signoz to make name required 2026-06-17 22:00:11 +05:30
Naman Verma
6334f26e7d fix: add validations to list variable that text variable has 2026-06-17 20:51:54 +05:30
Naman Verma
563bd2b004 fix: add additional error info on patch application error 2026-06-17 17:42:23 +05:30
Naman Verma
477be8073d fix: reject dashbaords that have vars with the same name 2026-06-17 15:42:22 +05:30
Naman Verma
4e36b9a96a test: add test for missing spec prefix in layout 2026-06-17 14:11:40 +05:30
Naman Verma
7c59e379bd chore: extract out validate panels method 2026-06-17 13:42:29 +05:30
Naman Verma
eec3472e08 fix: check that panels referred in layouts exist 2026-06-17 13:39:33 +05:30
Naman Verma
b0a065591f Merge branch 'main' into nv/schema-changes 2026-06-17 07:29:11 +05:30
Naman Verma
c0e0ebab4a Merge branch 'main' into nv/schema-changes 2026-06-16 20:20:28 +05:30
Naman Verma
9e8464f3eb Merge branch 'main' into nv/schema-changes 2026-06-16 11:40:23 +05:30
Naman Verma
845c88ec45 Merge branch 'main' into nv/schema-changes 2026-06-15 16:55:36 +05:30
Naman Verma
9b53561c31 fix: change schema properties based on UI integration review 2026-06-15 15:37:29 +05:30
41 changed files with 1927 additions and 955 deletions

View File

@@ -2437,17 +2437,6 @@ components:
url:
type: string
type: object
DashboardTextVariableSpec:
properties:
constant:
type: boolean
display:
$ref: '#/components/schemas/VariableDisplay'
name:
type: string
value:
type: string
type: object
DashboardtypesAxes:
properties:
isLogScale:
@@ -2812,9 +2801,15 @@ components:
type: string
nullable: true
type: object
mode:
$ref: '#/components/schemas/DashboardtypesLegendMode'
position:
$ref: '#/components/schemas/DashboardtypesLegendPosition'
type: object
DashboardtypesLegendMode:
enum:
- list
type: string
DashboardtypesLegendPosition:
enum:
- bottom
@@ -2865,15 +2860,25 @@ components:
display:
$ref: '#/components/schemas/DashboardtypesDisplay'
name:
minLength: 1
type: string
plugin:
$ref: '#/components/schemas/DashboardtypesVariablePlugin'
sort:
nullable: true
type: string
$ref: '#/components/schemas/DashboardtypesListVariableSpecSort'
required:
- display
- name
type: object
DashboardtypesListVariableSpecSort:
enum:
- none
- alphabetical-asc
- alphabetical-desc
- numerical-asc
- numerical-desc
- alphabetical-ci-asc
- alphabetical-ci-desc
type: string
DashboardtypesListableDashboardForUserV2:
properties:
dashboards:
@@ -3383,8 +3388,13 @@ components:
DashboardtypesSpanGaps:
properties:
fillLessThan:
description: The maximum gap size to connect when fillOnlyBelow is true.
Gaps larger than this duration are left disconnected.
type: string
fillOnlyBelow:
description: Controls whether lines connect across null values. When false
(default), all gaps are connected. When true, only gaps smaller than fillLessThan
are connected.
type: boolean
type: object
DashboardtypesStorableDashboardData:
@@ -3432,6 +3442,20 @@ components:
- color
- columnName
type: object
DashboardtypesTextVariableSpec:
properties:
constant:
type: boolean
display:
$ref: '#/components/schemas/DashboardtypesDisplay'
name:
minLength: 1
type: string
value:
type: string
required:
- name
type: object
DashboardtypesThresholdFormat:
enum:
- text
@@ -3451,7 +3475,6 @@ components:
required:
- value
- color
- label
type: object
DashboardtypesTimePreference:
enum:
@@ -3536,23 +3559,11 @@ components:
discriminator:
mapping:
ListVariable: '#/components/schemas/DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpec'
TextVariable: '#/components/schemas/DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpec'
TextVariable: '#/components/schemas/DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpec'
propertyName: kind
oneOf:
- $ref: '#/components/schemas/DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpec'
- $ref: '#/components/schemas/DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpec'
type: object
DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpec:
properties:
kind:
enum:
- TextVariable
type: string
spec:
$ref: '#/components/schemas/DashboardTextVariableSpec'
required:
- kind
- spec
- $ref: '#/components/schemas/DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpec'
type: object
DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpec:
properties:
@@ -3566,6 +3577,18 @@ components:
- kind
- spec
type: object
DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpec:
properties:
kind:
enum:
- TextVariable
type: string
spec:
$ref: '#/components/schemas/DashboardtypesTextVariableSpec'
required:
- kind
- spec
type: object
DashboardtypesVariablePlugin:
discriminator:
mapping:
@@ -3938,6 +3961,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesClusterRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -3948,6 +3973,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesDaemonSetRecord:
@@ -4004,6 +4030,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesDaemonSetRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4014,6 +4042,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesDeploymentRecord:
@@ -4070,6 +4099,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesDeploymentRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4080,6 +4111,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesHostFilter:
@@ -4145,6 +4177,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesHostRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4155,6 +4189,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesJobRecord:
@@ -4217,6 +4252,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesJobRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4227,6 +4264,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesNamespaceRecord:
@@ -4261,6 +4299,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesNamespaceRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4271,6 +4311,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesNodeCondition:
@@ -4335,6 +4376,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesNodeRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4345,6 +4388,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesPodCountsByPhase:
@@ -4430,6 +4474,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesPodRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4440,6 +4486,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesPostableClusters:
@@ -4702,6 +4749,16 @@ components:
- end
- limit
type: object
InframonitoringtypesRequiredMetricsCheck:
properties:
missingMetrics:
items:
type: string
nullable: true
type: array
required:
- missingMetrics
type: object
InframonitoringtypesResponseType:
enum:
- list
@@ -4761,6 +4818,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesStatefulSetRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4771,6 +4830,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
InframonitoringtypesVolumeRecord:
@@ -4818,6 +4878,8 @@ components:
items:
$ref: '#/components/schemas/InframonitoringtypesVolumeRecord'
type: array
requiredMetricsCheck:
$ref: '#/components/schemas/InframonitoringtypesRequiredMetricsCheck'
total:
type: integer
type:
@@ -4828,6 +4890,7 @@ components:
- type
- records
- total
- requiredMetricsCheck
- endTimeBeforeRetention
type: object
LlmpricingruletypesGettablePricingRules:
@@ -7611,15 +7674,6 @@ components:
type: object
VariableDefaultValue:
type: object
VariableDisplay:
properties:
description:
type: string
hidden:
type: boolean
name:
type: string
type: object
ZeustypesGettableHost:
properties:
hosts:
@@ -14655,10 +14709,10 @@ paths:
for custom groupBy keys; in both modes every row aggregates nodes and pods
in the group. Supports filtering via a filter expression, custom groupBy,
ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination
via offset/limit. Also reports whether the requested time range falls before
the data retention boundary. Numeric metric fields (clusterCPU, clusterCPUAllocatable,
clusterMemory, clusterMemoryAllocatable) return -1 as a sentinel when no data
is available for that field.'
via offset/limit. Also reports missing required metrics and whether the requested
time range falls before the data retention boundary. Numeric metric fields
(clusterCPU, clusterCPUAllocatable, clusterMemory, clusterMemoryAllocatable)
return -1 as a sentinel when no data is available for that field.'
operationId: ListClusters
requestBody:
content:
@@ -14731,11 +14785,11 @@ paths:
row aggregates pods owned by daemonsets in the group. Supports filtering via
a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit
/ memory / memory_request / memory_limit / desired_nodes / current_nodes,
and pagination via offset/limit. Also reports whether the requested time range
falls before the data retention boundary. Numeric metric fields (daemonSetCPU,
daemonSetCPURequest, daemonSetCPULimit, daemonSetMemory, daemonSetMemoryRequest,
daemonSetMemoryLimit, desiredNodes, currentNodes) return -1 as a sentinel
when no data is available for that field.'
and pagination via offset/limit. Also reports missing required metrics and
whether the requested time range falls before the data retention boundary.
Numeric metric fields (daemonSetCPU, daemonSetCPURequest, daemonSetCPULimit,
daemonSetMemory, daemonSetMemoryRequest, daemonSetMemoryLimit, desiredNodes,
currentNodes) return -1 as a sentinel when no data is available for that field.'
operationId: ListDaemonSets
requestBody:
content:
@@ -14806,11 +14860,11 @@ paths:
group. Supports filtering via a filter expression, custom groupBy, ordering
by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit
/ desired_pods / available_pods, and pagination via offset/limit. Also reports
whether the requested time range falls before the data retention boundary.
Numeric metric fields (deploymentCPU, deploymentCPURequest, deploymentCPULimit,
deploymentMemory, deploymentMemoryRequest, deploymentMemoryLimit, desiredPods,
availablePods) return -1 as a sentinel when no data is available for that
field.'
missing required metrics and whether the requested time range falls before
the data retention boundary. Numeric metric fields (deploymentCPU, deploymentCPURequest,
deploymentCPULimit, deploymentMemory, deploymentMemoryRequest, deploymentMemoryLimit,
desiredPods, availablePods) return -1 as a sentinel when no data is available
for that field.'
operationId: ListDeployments
requestBody:
content:
@@ -14875,9 +14929,10 @@ paths:
custom groupBy to aggregate hosts by any attribute, ordering by any of the
five metrics, and pagination via offset/limit. The response type is ''list''
for the default host.name grouping or ''grouped_list'' for custom groupBy
keys. Also reports whether the requested time range falls before the data
retention boundary. Numeric metric fields (cpu, memory, wait, load15, diskUsage)
return -1 as a sentinel when no data is available for that field.'
keys. Also reports missing required metrics and whether the requested time
range falls before the data retention boundary. Numeric metric fields (cpu,
memory, wait, load15, diskUsage) return -1 as a sentinel when no data is available
for that field.'
operationId: ListHosts
requestBody:
content:
@@ -14951,11 +15006,11 @@ paths:
jobs in the group. Supports filtering via a filter expression, custom groupBy,
ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit
/ desired_successful_pods / active_pods / failed_pods / successful_pods, and
pagination via offset/limit. Also reports whether the requested time range
falls before the data retention boundary. Numeric metric fields (jobCPU, jobCPURequest,
jobCPULimit, jobMemory, jobMemoryRequest, jobMemoryLimit, desiredSuccessfulPods,
activePods, failedPods, successfulPods) return -1 as a sentinel when no data
is available for that field.'
pagination via offset/limit. Also reports missing required metrics and whether
the requested time range falls before the data retention boundary. Numeric
metric fields (jobCPU, jobCPURequest, jobCPULimit, jobMemory, jobMemoryRequest,
jobMemoryLimit, desiredSuccessfulPods, activePods, failedPods, successfulPods)
return -1 as a sentinel when no data is available for that field.'
operationId: ListJobs
requestBody:
content:
@@ -15020,10 +15075,10 @@ paths:
type is ''list'' for the default k8s.namespace.name grouping or ''grouped_list''
for custom groupBy keys; in both modes every row aggregates pods in the group.
Supports filtering via a filter expression, custom groupBy, ordering by cpu
/ memory, and pagination via offset/limit. Also reports whether the requested
time range falls before the data retention boundary. Numeric metric fields
(namespaceCPU, namespaceMemory) return -1 as a sentinel when no data is available
for that field.'
/ memory, and pagination via offset/limit. Also reports missing required metrics
and whether the requested time range falls before the data retention boundary.
Numeric metric fields (namespaceCPU, namespaceMemory) return -1 as a sentinel
when no data is available for that field.'
operationId: ListNamespaces
requestBody:
content:
@@ -15091,10 +15146,10 @@ paths:
for custom groupBy keys (each row aggregates nodes in the group; condition
stays no_data). Supports filtering via a filter expression, custom groupBy,
ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination
via offset/limit. Also reports whether the requested time range falls before
the data retention boundary. Numeric metric fields (nodeCPU, nodeCPUAllocatable,
nodeMemory, nodeMemoryAllocatable) return -1 as a sentinel when no data is
available for that field.'
via offset/limit. Also reports missing required metrics and whether the requested
time range falls before the data retention boundary. Numeric metric fields
(nodeCPU, nodeCPUAllocatable, nodeMemory, nodeMemoryAllocatable) return -1
as a sentinel when no data is available for that field.'
operationId: ListNodes
requestBody:
content:
@@ -15163,10 +15218,11 @@ paths:
is one pod with its current phase) or ''grouped_list'' for custom groupBy
keys (each row aggregates pods in the group with per-phase counts under podCountsByPhase:
{ pending, running, succeeded, failed, unknown } derived from each pod''s
latest phase in the window). Also reports whether the requested time range
falls before the data retention boundary. Numeric metric fields (podCPU, podCPURequest,
podCPULimit, podMemory, podMemoryRequest, podMemoryLimit, podAge) return -1
as a sentinel when no data is available for that field.'
latest phase in the window). Also reports missing required metrics and whether
the requested time range falls before the data retention boundary. Numeric
metric fields (podCPU, podCPURequest, podCPULimit, podMemory, podMemoryRequest,
podMemoryLimit, podAge) return -1 as a sentinel when no data is available
for that field.'
operationId: ListPods
requestBody:
content:
@@ -15233,10 +15289,11 @@ paths:
usage, inodes, inodes_free, inodes_used), and pagination via offset/limit.
The response type is ''list'' for the default k8s.persistentvolumeclaim.name
grouping or ''grouped_list'' for custom groupBy keys; in both modes every
row aggregates volumes in the group. Also reports whether the requested time
range falls before the data retention boundary. Numeric metric fields (volumeAvailable,
volumeCapacity, volumeUsage, volumeInodes, volumeInodesFree, volumeInodesUsed)
return -1 as a sentinel when no data is available for that field.'
row aggregates volumes in the group. Also reports missing required metrics
and whether the requested time range falls before the data retention boundary.
Numeric metric fields (volumeAvailable, volumeCapacity, volumeUsage, volumeInodes,
volumeInodesFree, volumeInodesUsed) return -1 as a sentinel when no data is
available for that field.'
operationId: ListVolumes
requestBody:
content:
@@ -15307,10 +15364,11 @@ paths:
statefulsets in the group. Supports filtering via a filter expression, custom
groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request
/ memory_limit / desired_pods / current_pods, and pagination via offset/limit.
Also reports whether the requested time range falls before the data retention
boundary. Numeric metric fields (statefulSetCPU, statefulSetCPURequest, statefulSetCPULimit,
statefulSetMemory, statefulSetMemoryRequest, statefulSetMemoryLimit, desiredPods,
currentPods) return -1 as a sentinel when no data is available for that field.'
Also reports missing required metrics and whether the requested time range
falls before the data retention boundary. Numeric metric fields (statefulSetCPU,
statefulSetCPURequest, statefulSetCPULimit, statefulSetMemory, statefulSetMemoryRequest,
statefulSetMemoryLimit, desiredPods, currentPods) return -1 as a sentinel
when no data is available for that field.'
operationId: ListStatefulSets
requestBody:
content:

View File

@@ -39,7 +39,7 @@ import { GeneratedAPIInstance } from '../../../generatedAPIInstance';
import type { ErrorType, BodyType } from '../../../generatedAPIInstance';
/**
* Returns a paginated list of Kubernetes clusters with key aggregated metrics derived by summing per-node values within the group: CPU usage, CPU allocatable, memory working set, memory allocatable. Each row also reports per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready value) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each cluster includes metadata attributes (k8s.cluster.name). The response type is 'list' for the default k8s.cluster.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates nodes and pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (clusterCPU, clusterCPUAllocatable, clusterMemory, clusterMemoryAllocatable) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes clusters with key aggregated metrics derived by summing per-node values within the group: CPU usage, CPU allocatable, memory working set, memory allocatable. Each row also reports per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready value) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each cluster includes metadata attributes (k8s.cluster.name). The response type is 'list' for the default k8s.cluster.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates nodes and pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (clusterCPU, clusterCPUAllocatable, clusterMemory, clusterMemoryAllocatable) return -1 as a sentinel when no data is available for that field.
* @summary List Clusters for Infra Monitoring
*/
export const listClusters = (
@@ -122,7 +122,7 @@ export const useListClusters = <
return useMutation(getListClustersMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes DaemonSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the daemonset, plus average CPU/memory request and limit utilization (daemonSetCPURequest, daemonSetCPULimit, daemonSetMemoryRequest, daemonSetMemoryLimit). Each row also reports the latest known node-level counters from kube-state-metrics: desiredNodes (k8s.daemonset.desired_scheduled_nodes, the number of nodes the daemonset wants to run on) and currentNodes (k8s.daemonset.current_scheduled_nodes, the number of nodes the daemonset currently runs on) — note these are node counts, not pod counts. It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each daemonset includes metadata attributes (k8s.daemonset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.daemonset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by daemonsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_nodes / current_nodes, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (daemonSetCPU, daemonSetCPURequest, daemonSetCPULimit, daemonSetMemory, daemonSetMemoryRequest, daemonSetMemoryLimit, desiredNodes, currentNodes) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes DaemonSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the daemonset, plus average CPU/memory request and limit utilization (daemonSetCPURequest, daemonSetCPULimit, daemonSetMemoryRequest, daemonSetMemoryLimit). Each row also reports the latest known node-level counters from kube-state-metrics: desiredNodes (k8s.daemonset.desired_scheduled_nodes, the number of nodes the daemonset wants to run on) and currentNodes (k8s.daemonset.current_scheduled_nodes, the number of nodes the daemonset currently runs on) — note these are node counts, not pod counts. It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each daemonset includes metadata attributes (k8s.daemonset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.daemonset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by daemonsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_nodes / current_nodes, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (daemonSetCPU, daemonSetCPURequest, daemonSetCPULimit, daemonSetMemory, daemonSetMemoryRequest, daemonSetMemoryLimit, desiredNodes, currentNodes) return -1 as a sentinel when no data is available for that field.
* @summary List DaemonSets for Infra Monitoring
*/
export const listDaemonSets = (
@@ -205,7 +205,7 @@ export const useListDaemonSets = <
return useMutation(getListDaemonSetsMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes Deployments with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the deployment, plus average CPU/memory request and limit utilization (deploymentCPURequest, deploymentCPULimit, deploymentMemoryRequest, deploymentMemoryLimit). Each row also reports the latest known desiredPods (k8s.deployment.desired) and availablePods (k8s.deployment.available) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each deployment includes metadata attributes (k8s.deployment.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.deployment.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by deployments in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / available_pods, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (deploymentCPU, deploymentCPURequest, deploymentCPULimit, deploymentMemory, deploymentMemoryRequest, deploymentMemoryLimit, desiredPods, availablePods) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes Deployments with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the deployment, plus average CPU/memory request and limit utilization (deploymentCPURequest, deploymentCPULimit, deploymentMemoryRequest, deploymentMemoryLimit). Each row also reports the latest known desiredPods (k8s.deployment.desired) and availablePods (k8s.deployment.available) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each deployment includes metadata attributes (k8s.deployment.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.deployment.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by deployments in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / available_pods, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (deploymentCPU, deploymentCPURequest, deploymentCPULimit, deploymentMemory, deploymentMemoryRequest, deploymentMemoryLimit, desiredPods, availablePods) return -1 as a sentinel when no data is available for that field.
* @summary List Deployments for Infra Monitoring
*/
export const listDeployments = (
@@ -288,7 +288,7 @@ export const useListDeployments = <
return useMutation(getListDeploymentsMutationOptions(options));
};
/**
* Returns a paginated list of hosts with key infrastructure metrics: CPU usage (%), memory usage (%), I/O wait (%), disk usage (%), and 15-minute load average. Each host includes its current status (active/inactive based on metrics reported in the last 10 minutes) and metadata attributes (e.g., os.type). Supports filtering via a filter expression, filtering by host status, custom groupBy to aggregate hosts by any attribute, ordering by any of the five metrics, and pagination via offset/limit. The response type is 'list' for the default host.name grouping or 'grouped_list' for custom groupBy keys. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (cpu, memory, wait, load15, diskUsage) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of hosts with key infrastructure metrics: CPU usage (%), memory usage (%), I/O wait (%), disk usage (%), and 15-minute load average. Each host includes its current status (active/inactive based on metrics reported in the last 10 minutes) and metadata attributes (e.g., os.type). Supports filtering via a filter expression, filtering by host status, custom groupBy to aggregate hosts by any attribute, ordering by any of the five metrics, and pagination via offset/limit. The response type is 'list' for the default host.name grouping or 'grouped_list' for custom groupBy keys. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (cpu, memory, wait, load15, diskUsage) return -1 as a sentinel when no data is available for that field.
* @summary List Hosts for Infra Monitoring
*/
export const listHosts = (
@@ -371,7 +371,7 @@ export const useListHosts = <
return useMutation(getListHostsMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes Jobs with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the job, plus average CPU/memory request and limit utilization (jobCPURequest, jobCPULimit, jobMemoryRequest, jobMemoryLimit). Each row also reports the latest known job-level counters from kube-state-metrics: desiredSuccessfulPods (k8s.job.desired_successful_pods, the target completion count), activePods (k8s.job.active_pods), failedPods (k8s.job.failed_pods, cumulative across the lifetime of the job), and successfulPods (k8s.job.successful_pods, cumulative). It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value); note podCountsByPhase.failed (current pod-phase) is distinct from failedPods (cumulative job kube-state-metric). Each job includes metadata attributes (k8s.job.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.job.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by jobs in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_successful_pods / active_pods / failed_pods / successful_pods, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (jobCPU, jobCPURequest, jobCPULimit, jobMemory, jobMemoryRequest, jobMemoryLimit, desiredSuccessfulPods, activePods, failedPods, successfulPods) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes Jobs with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the job, plus average CPU/memory request and limit utilization (jobCPURequest, jobCPULimit, jobMemoryRequest, jobMemoryLimit). Each row also reports the latest known job-level counters from kube-state-metrics: desiredSuccessfulPods (k8s.job.desired_successful_pods, the target completion count), activePods (k8s.job.active_pods), failedPods (k8s.job.failed_pods, cumulative across the lifetime of the job), and successfulPods (k8s.job.successful_pods, cumulative). It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value); note podCountsByPhase.failed (current pod-phase) is distinct from failedPods (cumulative job kube-state-metric). Each job includes metadata attributes (k8s.job.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.job.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by jobs in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_successful_pods / active_pods / failed_pods / successful_pods, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (jobCPU, jobCPURequest, jobCPULimit, jobMemory, jobMemoryRequest, jobMemoryLimit, desiredSuccessfulPods, activePods, failedPods, successfulPods) return -1 as a sentinel when no data is available for that field.
* @summary List Jobs for Infra Monitoring
*/
export const listJobs = (
@@ -454,7 +454,7 @@ export const useListJobs = <
return useMutation(getListJobsMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes namespaces with key aggregated pod metrics: CPU usage and memory working set (summed across pods in the group), plus per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value in the window). Each namespace includes metadata attributes (k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.namespace.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / memory, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (namespaceCPU, namespaceMemory) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes namespaces with key aggregated pod metrics: CPU usage and memory working set (summed across pods in the group), plus per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value in the window). Each namespace includes metadata attributes (k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.namespace.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / memory, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (namespaceCPU, namespaceMemory) return -1 as a sentinel when no data is available for that field.
* @summary List Namespaces for Infra Monitoring
*/
export const listNamespaces = (
@@ -537,7 +537,7 @@ export const useListNamespaces = <
return useMutation(getListNamespacesMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes nodes with key metrics: CPU usage, CPU allocatable, memory working set, memory allocatable, per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready in the window) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } for pods scheduled on the listed nodes). Each node includes metadata attributes (k8s.node.uid, k8s.cluster.name). The response type is 'list' for the default k8s.node.name grouping (each row is one node with its current condition string: ready / not_ready / no_data) or 'grouped_list' for custom groupBy keys (each row aggregates nodes in the group; condition stays no_data). Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (nodeCPU, nodeCPUAllocatable, nodeMemory, nodeMemoryAllocatable) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes nodes with key metrics: CPU usage, CPU allocatable, memory working set, memory allocatable, per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready in the window) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } for pods scheduled on the listed nodes). Each node includes metadata attributes (k8s.node.uid, k8s.cluster.name). The response type is 'list' for the default k8s.node.name grouping (each row is one node with its current condition string: ready / not_ready / no_data) or 'grouped_list' for custom groupBy keys (each row aggregates nodes in the group; condition stays no_data). Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (nodeCPU, nodeCPUAllocatable, nodeMemory, nodeMemoryAllocatable) return -1 as a sentinel when no data is available for that field.
* @summary List Nodes for Infra Monitoring
*/
export const listNodes = (
@@ -620,7 +620,7 @@ export const useListNodes = <
return useMutation(getListNodesMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes pods with key metrics: CPU usage, CPU request/limit utilization, memory working set, memory request/limit utilization, current pod phase (pending/running/succeeded/failed/unknown/no_data), and pod age (ms since start time). Each pod includes metadata attributes (namespace, node, workload owner such as deployment/statefulset/daemonset/job/cronjob, cluster). Supports filtering via a filter expression, custom groupBy to aggregate pods by any attribute, ordering by any of the six metrics (cpu, cpu_request, cpu_limit, memory, memory_request, memory_limit), and pagination via offset/limit. The response type is 'list' for the default k8s.pod.uid grouping (each row is one pod with its current phase) or 'grouped_list' for custom groupBy keys (each row aggregates pods in the group with per-phase counts under podCountsByPhase: { pending, running, succeeded, failed, unknown } derived from each pod's latest phase in the window). Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (podCPU, podCPURequest, podCPULimit, podMemory, podMemoryRequest, podMemoryLimit, podAge) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes pods with key metrics: CPU usage, CPU request/limit utilization, memory working set, memory request/limit utilization, current pod phase (pending/running/succeeded/failed/unknown/no_data), and pod age (ms since start time). Each pod includes metadata attributes (namespace, node, workload owner such as deployment/statefulset/daemonset/job/cronjob, cluster). Supports filtering via a filter expression, custom groupBy to aggregate pods by any attribute, ordering by any of the six metrics (cpu, cpu_request, cpu_limit, memory, memory_request, memory_limit), and pagination via offset/limit. The response type is 'list' for the default k8s.pod.uid grouping (each row is one pod with its current phase) or 'grouped_list' for custom groupBy keys (each row aggregates pods in the group with per-phase counts under podCountsByPhase: { pending, running, succeeded, failed, unknown } derived from each pod's latest phase in the window). Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (podCPU, podCPURequest, podCPULimit, podMemory, podMemoryRequest, podMemoryLimit, podAge) return -1 as a sentinel when no data is available for that field.
* @summary List Pods for Infra Monitoring
*/
export const listPods = (
@@ -703,7 +703,7 @@ export const useListPods = <
return useMutation(getListPodsMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes persistent volume claims (PVCs) with key volume metrics: available bytes, capacity bytes, usage (capacity - available), inodes, free inodes, and used inodes. Each row also includes metadata attributes (k8s.persistentvolumeclaim.name, k8s.pod.uid, k8s.pod.name, k8s.namespace.name, k8s.node.name, k8s.statefulset.name, k8s.cluster.name). Supports filtering via a filter expression, custom groupBy to aggregate volumes by any attribute, ordering by any of the six metrics (available, capacity, usage, inodes, inodes_free, inodes_used), and pagination via offset/limit. The response type is 'list' for the default k8s.persistentvolumeclaim.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates volumes in the group. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (volumeAvailable, volumeCapacity, volumeUsage, volumeInodes, volumeInodesFree, volumeInodesUsed) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes persistent volume claims (PVCs) with key volume metrics: available bytes, capacity bytes, usage (capacity - available), inodes, free inodes, and used inodes. Each row also includes metadata attributes (k8s.persistentvolumeclaim.name, k8s.pod.uid, k8s.pod.name, k8s.namespace.name, k8s.node.name, k8s.statefulset.name, k8s.cluster.name). Supports filtering via a filter expression, custom groupBy to aggregate volumes by any attribute, ordering by any of the six metrics (available, capacity, usage, inodes, inodes_free, inodes_used), and pagination via offset/limit. The response type is 'list' for the default k8s.persistentvolumeclaim.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates volumes in the group. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (volumeAvailable, volumeCapacity, volumeUsage, volumeInodes, volumeInodesFree, volumeInodesUsed) return -1 as a sentinel when no data is available for that field.
* @summary List Volumes for Infra Monitoring
*/
export const listVolumes = (
@@ -786,7 +786,7 @@ export const useListVolumes = <
return useMutation(getListVolumesMutationOptions(options));
};
/**
* Returns a paginated list of Kubernetes StatefulSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the statefulset, plus average CPU/memory request and limit utilization (statefulSetCPURequest, statefulSetCPULimit, statefulSetMemoryRequest, statefulSetMemoryLimit). Each row also reports the latest known desiredPods (k8s.statefulset.desired_pods) and currentPods (k8s.statefulset.current_pods) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each statefulset includes metadata attributes (k8s.statefulset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.statefulset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by statefulsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / current_pods, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (statefulSetCPU, statefulSetCPURequest, statefulSetCPULimit, statefulSetMemory, statefulSetMemoryRequest, statefulSetMemoryLimit, desiredPods, currentPods) return -1 as a sentinel when no data is available for that field.
* Returns a paginated list of Kubernetes StatefulSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the statefulset, plus average CPU/memory request and limit utilization (statefulSetCPURequest, statefulSetCPULimit, statefulSetMemoryRequest, statefulSetMemoryLimit). Each row also reports the latest known desiredPods (k8s.statefulset.desired_pods) and currentPods (k8s.statefulset.current_pods) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each statefulset includes metadata attributes (k8s.statefulset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.statefulset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by statefulsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / current_pods, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (statefulSetCPU, statefulSetCPURequest, statefulSetCPULimit, statefulSetMemory, statefulSetMemoryRequest, statefulSetMemoryLimit, desiredPods, currentPods) return -1 as a sentinel when no data is available for that field.
* @summary List StatefulSets for Infra Monitoring
*/
export const listStatefulSets = (

View File

@@ -3154,37 +3154,6 @@ export interface DashboardLinkDTO {
url?: string;
}
export interface VariableDisplayDTO {
/**
* @type string
*/
description?: string;
/**
* @type boolean
*/
hidden?: boolean;
/**
* @type string
*/
name?: string;
}
export interface DashboardTextVariableSpecDTO {
/**
* @type boolean
*/
constant?: boolean;
display?: VariableDisplayDTO;
/**
* @type string
*/
name?: string;
/**
* @type string
*/
value?: string;
}
export interface DashboardtypesAxesDTO {
/**
* @type boolean
@@ -3216,6 +3185,9 @@ export interface DashboardtypesPanelFormattingDTO {
unit?: string;
}
export enum DashboardtypesLegendModeDTO {
list = 'list',
}
export enum DashboardtypesLegendPositionDTO {
bottom = 'bottom',
right = 'right',
@@ -3235,6 +3207,7 @@ export interface DashboardtypesLegendDTO {
* @type object,null
*/
customColors?: DashboardtypesLegendDTOCustomColors;
mode?: DashboardtypesLegendModeDTO;
position?: DashboardtypesLegendPositionDTO;
}
@@ -3246,7 +3219,7 @@ export interface DashboardtypesThresholdWithLabelDTO {
/**
* @type string
*/
label: string;
label?: string;
/**
* @type string
*/
@@ -3911,10 +3884,12 @@ export enum DashboardtypesLineStyleDTO {
export interface DashboardtypesSpanGapsDTO {
/**
* @type string
* @description The maximum gap size to connect when fillOnlyBelow is true. Gaps larger than this duration are left disconnected.
*/
fillLessThan?: string;
/**
* @type boolean
* @description Controls whether lines connect across null values. When false (default), all gaps are connected. When true, only gaps smaller than fillLessThan are connected.
*/
fillOnlyBelow?: boolean;
}
@@ -4546,6 +4521,15 @@ export type DashboardtypesVariablePluginDTO =
| DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesQueryVariableSpecDTO
| DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesCustomVariableSpecDTO;
export enum DashboardtypesListVariableSpecSortDTO {
none = 'none',
'alphabetical-asc' = 'alphabetical-asc',
'alphabetical-desc' = 'alphabetical-desc',
'numerical-asc' = 'numerical-asc',
'numerical-desc' = 'numerical-desc',
'alphabetical-ci-asc' = 'alphabetical-ci-asc',
'alphabetical-ci-desc' = 'alphabetical-ci-desc',
}
export interface DashboardtypesListVariableSpecDTO {
/**
* @type boolean
@@ -4564,16 +4548,14 @@ export interface DashboardtypesListVariableSpecDTO {
*/
customAllValue?: string;
defaultValue?: VariableDefaultValueDTO;
display: DashboardtypesDisplayDTO;
display?: DashboardtypesDisplayDTO;
/**
* @type string
* @minLength 1
*/
name?: string;
name: string;
plugin?: DashboardtypesVariablePluginDTO;
/**
* @type string,null
*/
sort?: string | null;
sort?: DashboardtypesListVariableSpecSortDTO;
}
export interface DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpecDTO {
@@ -4585,21 +4567,38 @@ export interface DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDash
spec: DashboardtypesListVariableSpecDTO;
}
export enum DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpecDTOKind {
export enum DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpecDTOKind {
TextVariable = 'TextVariable',
}
export interface DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpecDTO {
export interface DashboardtypesTextVariableSpecDTO {
/**
* @type boolean
*/
constant?: boolean;
display?: DashboardtypesDisplayDTO;
/**
* @type string
* @minLength 1
*/
name: string;
/**
* @type string
*/
value?: string;
}
export interface DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpecDTO {
/**
* @enum TextVariable
* @type string
*/
kind: DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpecDTOKind;
spec: DashboardTextVariableSpecDTO;
kind: DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpecDTOKind;
spec: DashboardtypesTextVariableSpecDTO;
}
export type DashboardtypesVariableDTO =
| DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpecDTO
| DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpecDTO;
| DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpecDTO;
export interface DashboardtypesDashboardSpecDTO {
/**
@@ -5423,6 +5422,13 @@ export interface InframonitoringtypesClusterRecordDTO {
podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
}
export interface InframonitoringtypesRequiredMetricsCheckDTO {
/**
* @type array,null
*/
missingMetrics: string[] | null;
}
export enum InframonitoringtypesResponseTypeDTO {
list = 'list',
grouped_list = 'grouped_list',
@@ -5458,6 +5464,7 @@ export interface InframonitoringtypesClustersDTO {
* @type array
*/
records: InframonitoringtypesClusterRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5535,6 +5542,7 @@ export interface InframonitoringtypesDaemonSetsDTO {
* @type array
*/
records: InframonitoringtypesDaemonSetRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5612,6 +5620,7 @@ export interface InframonitoringtypesDeploymentsDTO {
* @type array
*/
records: InframonitoringtypesDeploymentRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5697,6 +5706,7 @@ export interface InframonitoringtypesHostsDTO {
* @type array
*/
records: InframonitoringtypesHostRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5782,6 +5792,7 @@ export interface InframonitoringtypesJobsDTO {
* @type array
*/
records: InframonitoringtypesJobRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5831,6 +5842,7 @@ export interface InframonitoringtypesNamespacesDTO {
* @type array
*/
records: InframonitoringtypesNamespaceRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5897,6 +5909,7 @@ export interface InframonitoringtypesNodesDTO {
* @type array
*/
records: InframonitoringtypesNodeRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -5980,6 +5993,7 @@ export interface InframonitoringtypesPodsDTO {
* @type array
*/
records: InframonitoringtypesPodRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -6327,6 +6341,7 @@ export interface InframonitoringtypesStatefulSetsDTO {
* @type array
*/
records: InframonitoringtypesStatefulSetRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/
@@ -6395,6 +6410,7 @@ export interface InframonitoringtypesVolumesDTO {
* @type array
*/
records: InframonitoringtypesVolumeRecordDTO[];
requiredMetricsCheck: InframonitoringtypesRequiredMetricsCheckDTO;
/**
* @type integer
*/

View File

@@ -1,67 +1,29 @@
/* eslint-disable sonarjs/no-identical-functions */
import { Fragment, useMemo, useState } from 'react';
import { Input } from '@signozhq/ui/input';
import { Button, Skeleton } from 'antd';
import { Checkbox } from '@signozhq/ui/checkbox';
import { Skeleton } from 'antd';
import { Typography } from '@signozhq/ui/typography';
import cx from 'classnames';
import { removeKeysFromExpression } from 'components/QueryBuilderV2/utils';
import {
IQuickFiltersConfig,
QuickFiltersSource,
} from 'components/QuickFilters/types';
import { OPERATORS } from 'constants/antlrQueryConstants';
import {
DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY,
PANEL_TYPES,
} from 'constants/queryBuilder';
import { DEBOUNCE_DELAY } from 'constants/queryBuilderFilterConfig';
import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
import { useGetAggregateValues } from 'hooks/queryBuilder/useGetAggregateValues';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { useGetQueryKeyValueSuggestions } from 'hooks/querySuggestions/useGetQueryKeyValueSuggestions';
import useDebouncedFn from 'hooks/useDebouncedFunction';
import { cloneDeep, isArray, isFunction } from 'lodash-es';
import { ChevronDown, ChevronRight } from '@signozhq/icons';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
import { DataSource } from 'types/common/queryBuilder';
import { v4 as uuid } from 'uuid';
import { Query } from 'types/api/queryBuilder/queryBuilderData';
import CheckboxFilterHeader from './CheckboxFilterHeader';
import CheckboxValueRow from './CheckboxValueRow';
import LogsQuickFilterEmptyState from './LogsQuickFilterEmptyState';
import { isKeyMatch } from './utils';
import useActiveQueryIndex from './useActiveQueryIndex';
import useCheckboxDisclosure from './useCheckboxDisclosure';
import useCheckboxFilterActions from './useCheckboxFilterActions';
import useCheckboxFilterState from './useCheckboxFilterState';
import useCheckboxFilterValues from './useCheckboxFilterValues';
import './Checkbox.styles.scss';
const SELECTED_OPERATORS = [OPERATORS['='], 'in'];
const NON_SELECTED_OPERATORS = [OPERATORS['!='], 'not in', 'nin'];
const SOURCES_WITH_EMPTY_STATE_ENABLED = [QuickFiltersSource.LOGS_EXPLORER];
// Sources that use backend APIs expecting short operator format (e.g., 'nin' instead of 'not in')
const SOURCES_WITH_SHORT_OPERATORS = [QuickFiltersSource.INFRA_MONITORING];
/**
* Returns the correct NOT_IN operator value based on source.
* InfraMonitoring backend expects 'nin', others expect 'not in'.
*/
function getNotInOperator(source: QuickFiltersSource): string {
if (SOURCES_WITH_SHORT_OPERATORS.includes(source)) {
return 'nin';
}
return getOperatorValue('NOT_IN');
}
function setDefaultValues(
values: string[],
trueOrFalse: boolean,
): Record<string, boolean> {
const defaultState: Record<string, boolean> = {};
values.forEach((val) => {
defaultState[val] = trueOrFalse;
});
return defaultState;
}
interface ICheckboxProps {
filter: IQuickFiltersConfig;
source: QuickFiltersSource;
@@ -72,194 +34,39 @@ interface ICheckboxProps {
export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
const { source, filter, onFilterChange } = props;
const [searchText, setSearchText] = useState<string>('');
// null = no user action, true = user opened, false = user closed
const [userToggleState, setUserToggleState] = useState<boolean | null>(null);
const [visibleItemsCount, setVisibleItemsCount] = useState<number>(10);
const activeQueryIndex = useActiveQueryIndex(source);
const {
lastUsedQuery,
currentQuery,
redirectWithQueryBuilderData,
panelType,
} = useQueryBuilder();
// Determine if we're in ListView mode
const isListView = panelType === PANEL_TYPES.LIST;
// In ListView mode, use index 0 for most sources; for TRACES_EXPLORER, use lastUsedQuery
// Otherwise use lastUsedQuery for non-ListView modes
const activeQueryIndex = useMemo(() => {
if (isListView) {
return source === QuickFiltersSource.TRACES_EXPLORER
? lastUsedQuery || 0
: 0;
}
return lastUsedQuery || 0;
}, [isListView, source, lastUsedQuery]);
// Check if this filter has active filters in the query
const isSomeFilterPresentForCurrentAttribute = useMemo(
() =>
currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items?.some(
(item) => isKeyMatch(item.key?.key, filter.attributeKey.key),
),
[currentQuery.builder.queryData, activeQueryIndex, filter.attributeKey.key],
);
// Derive isOpen from filter state + user action
const isOpen = useMemo(() => {
// If user explicitly toggled, respect that
if (userToggleState !== null) {
return userToggleState;
}
// Auto-open if this filter has active filters in the query
if (isSomeFilterPresentForCurrentAttribute) {
return true;
}
// Otherwise use default behavior (first 2 filters open)
return filter.defaultOpen;
}, [
userToggleState,
isOpen,
isSomeFilterPresentForCurrentAttribute,
filter.defaultOpen,
]);
visibleItemsCount,
onToggleOpen,
onShowMore,
} = useCheckboxDisclosure({ filter, activeQueryIndex });
const { data, isLoading } = useGetAggregateValues(
{
aggregateOperator: filter.aggregateOperator || 'noop',
dataSource: filter.dataSource || DataSource.LOGS,
aggregateAttribute: filter.aggregateAttribute || '',
attributeKey: filter.attributeKey.key,
filterAttributeKeyDataType: filter.attributeKey.dataType || DataTypes.EMPTY,
tagType: filter.attributeKey.type || '',
searchText: searchText ?? '',
},
{
enabled: isOpen && source !== QuickFiltersSource.METER_EXPLORER,
keepPreviousData: true,
},
);
const { attributeValues, isLoading } = useCheckboxFilterValues({
filter,
source,
searchText,
isOpen,
});
const { data: keyValueSuggestions, isLoading: isLoadingKeyValueSuggestions } =
useGetQueryKeyValueSuggestions({
key: filter.attributeKey.key,
signal: filter.dataSource || DataSource.LOGS,
signalSource: 'meter',
options: {
enabled: isOpen && source === QuickFiltersSource.METER_EXPLORER,
keepPreviousData: true,
},
});
const { currentFilterState, isFilterDisabled, isMultipleValuesTrueForTheKey } =
useCheckboxFilterState({ filter, attributeValues, activeQueryIndex });
const attributeValues: string[] = useMemo(() => {
const dataType = filter.attributeKey.dataType || DataTypes.String;
if (source === QuickFiltersSource.METER_EXPLORER && keyValueSuggestions) {
// Process the response data
const responseData = keyValueSuggestions?.data as any;
const values = responseData.data?.values || {};
const stringValues = values.stringValues || [];
const numberValues = values.numberValues || [];
// Generate options from string values - explicitly handle empty strings
const stringOptions = stringValues
// Strict filtering for empty string - we'll handle it as a special case if needed
.filter(
(value: string | null | undefined): value is string =>
value !== null && value !== undefined && value !== '',
);
// Generate options from number values
const numberOptions = numberValues
.filter(
(value: number | null | undefined): value is number =>
value !== null && value !== undefined,
)
.map((value: number) => value.toString());
// Combine all options and make sure we don't have duplicate labels
return [...stringOptions, ...numberOptions];
}
const key = DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY[dataType];
return (data?.payload?.[key] || []).filter(
(val) => val !== undefined && val !== null,
);
}, [data?.payload, filter.attributeKey.dataType, keyValueSuggestions, source]);
const { onChange, onClear } = useCheckboxFilterActions({
filter,
source,
attributeValues,
activeQueryIndex,
onFilterChange,
});
const setSearchTextDebounced = useDebouncedFn((...args) => {
setSearchText(args[0] as string);
}, DEBOUNCE_DELAY);
// derive the state of each filter key here in the renderer itself and keep it in sync with current query
// also we need to keep a note of last focussed query.
// eslint-disable-next-line sonarjs/cognitive-complexity
const currentFilterState = useMemo(() => {
let filterState: Record<string, boolean> = setDefaultValues(
attributeValues,
false,
);
const filterSync = currentQuery?.builder.queryData?.[
activeQueryIndex
]?.filters?.items.find((item) =>
isKeyMatch(item.key?.key, filter.attributeKey.key),
);
if (filterSync) {
if (SELECTED_OPERATORS.includes(filterSync.op)) {
if (isArray(filterSync.value)) {
filterSync.value.forEach((val) => {
filterState[String(val)] = true;
});
} else if (typeof filterSync.value === 'string') {
filterState[filterSync.value] = true;
} else if (typeof filterSync.value === 'boolean') {
filterState[String(filterSync.value)] = true;
} else if (typeof filterSync.value === 'number') {
filterState[String(filterSync.value)] = true;
}
} else if (NON_SELECTED_OPERATORS.includes(filterSync.op)) {
filterState = setDefaultValues(attributeValues, true);
if (isArray(filterSync.value)) {
filterSync.value.forEach((val) => {
filterState[String(val)] = false;
});
} else if (typeof filterSync.value === 'string') {
filterState[filterSync.value] = false;
} else if (typeof filterSync.value === 'boolean') {
filterState[String(filterSync.value)] = false;
} else if (typeof filterSync.value === 'number') {
filterState[String(filterSync.value)] = false;
}
}
} else {
filterState = setDefaultValues(attributeValues, true);
}
return filterState;
}, [
attributeValues,
currentQuery?.builder.queryData,
filter.attributeKey,
activeQueryIndex,
]);
// disable the filter when there are multiple entries of the same attribute key present in the filter bar
const isFilterDisabled = useMemo(
() =>
(currentQuery?.builder?.queryData?.[
activeQueryIndex
]?.filters?.items?.filter((item) =>
isKeyMatch(item.key?.key, filter.attributeKey.key),
)?.length || 0) > 1,
[currentQuery?.builder?.queryData, activeQueryIndex, filter.attributeKey],
);
// variable to check if the current filter has multiple values to its name in the key op value section
const isMultipleValuesTrueForTheKey =
Object.values(currentFilterState).filter((val) => val).length > 1;
// Sort checked items to the top, then unchecked items
const currentAttributeKeys = useMemo(() => {
const checkedValues = attributeValues.filter(
@@ -277,293 +84,6 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
[currentAttributeKeys, currentFilterState],
);
const handleClearFilterAttribute = (): void => {
const preparedQuery: Query = {
...currentQuery,
builder: {
...currentQuery.builder,
queryData: currentQuery.builder.queryData.map((item, idx) => ({
...item,
filter: {
expression: removeKeysFromExpression(item.filter?.expression ?? '', [
filter.attributeKey.key,
]),
},
filters: {
...item.filters,
items:
idx === activeQueryIndex
? item.filters?.items?.filter(
(fil) => !isKeyMatch(fil.key?.key, filter.attributeKey.key),
) || []
: [...(item.filters?.items || [])],
op: item.filters?.op || 'AND',
},
})),
},
};
if (onFilterChange && isFunction(onFilterChange)) {
onFilterChange(preparedQuery);
} else {
redirectWithQueryBuilderData(preparedQuery);
}
};
const onChange = (
value: string,
checked: boolean,
isOnlyOrAllClicked: boolean,
// eslint-disable-next-line sonarjs/cognitive-complexity
): void => {
const query = cloneDeep(currentQuery.builder.queryData?.[activeQueryIndex]);
// if only or all are clicked we do not need to worry about anything just override whatever we have
// by either adding a new IN operator value clause in case of ONLY or remove everything we have for ALL.
if (isOnlyOrAllClicked && query?.filters?.items) {
const isOnlyOrAll = isSomeFilterPresentForCurrentAttribute
? currentFilterState[value] && !isMultipleValuesTrueForTheKey
? 'All'
: 'Only'
: 'Only';
query.filters.items = query.filters.items.filter(
(q) => !isKeyMatch(q.key?.key, filter.attributeKey.key),
);
if (query.filter?.expression) {
query.filter.expression = removeKeysFromExpression(
query.filter.expression,
[filter.attributeKey.key],
);
}
if (isOnlyOrAll === 'Only') {
const newFilterItem: TagFilterItem = {
id: uuid(),
op: getOperatorValue(OPERATORS.IN),
key: filter.attributeKey,
value,
};
query.filters.items = [...query.filters.items, newFilterItem];
}
} else if (query?.filters?.items) {
if (
query.filters?.items?.some((item) =>
isKeyMatch(item.key?.key, filter.attributeKey.key),
)
) {
// if there is already a running filter for the current attribute key then
// we split the cases by which particular operator is present right now!
const currentFilter = query.filters?.items?.find((q) =>
isKeyMatch(q.key?.key, filter.attributeKey.key),
);
if (currentFilter) {
const runningOperator = currentFilter?.op;
switch (runningOperator) {
case 'in':
if (checked) {
// if it's an IN operator then if we are checking another value it get's added to the
// filter clause. example - key IN [value1, currentSelectedValue]
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: [...currentFilter.value, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else {
// if the current state wasn't an array we make it one and add our value
const newFilter = {
...currentFilter,
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else if (!checked) {
// if we are removing some value when the running operator is IN we filter.
// example - key IN [value1,currentSelectedValue] becomes key IN [value1] in case of array
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: currentFilter.value.filter((val) => val !== value),
};
if (newFilter.value.length === 0) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
} else {
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else {
// if not an array remove the whole thing altogether!
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
}
break;
case 'nin':
case 'not in':
// if the current running operator is NIN then when unchecking the value it gets
// added to the clause like key NIN [value1 , currentUnselectedValue]
if (!checked) {
// in case of array add the currentUnselectedValue to the list.
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: [...currentFilter.value, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else {
// in case of not an array make it one!
const newFilter = {
...currentFilter,
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else if (checked) {
// opposite of above!
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: currentFilter.value.filter((val) => val !== value),
};
if (newFilter.value.length === 0) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
if (query.filter?.expression) {
query.filter.expression = removeKeysFromExpression(
query.filter.expression,
[filter.attributeKey.key],
);
}
} else {
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else {
const newFilter = {
...currentFilter,
value: currentFilter.value === value ? null : currentFilter.value,
};
if (newFilter.value === null && query.filter?.expression) {
query.filter.expression = removeKeysFromExpression(
query.filter.expression,
[filter.attributeKey.key],
);
}
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
}
break;
case '=':
if (checked) {
const newFilter = {
...currentFilter,
op: getOperatorValue(OPERATORS.IN),
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else if (!checked) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
break;
case '!=':
if (!checked) {
const newFilter = {
...currentFilter,
op: getNotInOperator(source),
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else if (checked) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
break;
default:
break;
}
}
} else {
// case - when there is no filter for the current key that means all are selected right now.
const newFilterItem: TagFilterItem = {
id: uuid(),
op: getNotInOperator(source),
key: filter.attributeKey,
value,
};
query.filters.items = [...query.filters.items, newFilterItem];
}
}
const finalQuery = {
...currentQuery,
builder: {
...currentQuery.builder,
queryData: [
...currentQuery.builder.queryData.map((q, idx) => {
if (idx === activeQueryIndex) {
return query;
}
return q;
}),
],
},
};
if (onFilterChange && isFunction(onFilterChange)) {
onFilterChange(finalQuery);
} else {
redirectWithQueryBuilderData(finalQuery);
}
};
const isEmptyStateWithDocsEnabled =
SOURCES_WITH_EMPTY_STATE_ENABLED.includes(source) &&
!searchText &&
@@ -571,48 +91,19 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
return (
<div className="checkbox-filter">
<section
className="filter-header-checkbox"
onClick={(): void => {
if (isOpen) {
setUserToggleState(false);
setVisibleItemsCount(10);
} else {
setUserToggleState(true);
}
}}
>
<section className="left-action">
{isOpen ? (
<ChevronDown size={13} cursor="pointer" />
) : (
<ChevronRight size={13} cursor="pointer" />
)}
<Typography.Text className="title">{filter.title}</Typography.Text>
<CheckboxFilterHeader
title={filter.title}
isOpen={isOpen}
showClearAll={!!attributeValues.length}
onToggleOpen={onToggleOpen}
onClear={onClear}
/>
{isOpen && isLoading && !attributeValues.length && (
<section className="loading">
<Skeleton paragraph={{ rows: 4 }} />
</section>
<section className="right-action">
{isOpen && !!attributeValues.length && (
<Typography.Text
className="clear-all"
onClick={(e): void => {
e.stopPropagation();
e.preventDefault();
handleClearFilterAttribute();
}}
>
Clear All
</Typography.Text>
)}
</section>
</section>
{isOpen &&
(isLoading || isLoadingKeyValueSuggestions) &&
!attributeValues.length && (
<section className="loading">
<Skeleton paragraph={{ rows: 4 }} />
</section>
)}
{isOpen && !isLoading && !isLoadingKeyValueSuggestions && (
)}
{isOpen && !isLoading && (
<>
{!isEmptyStateWithDocsEnabled && (
<section className="search">
@@ -634,48 +125,24 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
data-testid="filter-separator"
/>
)}
<div className="value">
<Checkbox
onChange={(checked): void =>
onChange(value, checked === true, false)
}
value={currentFilterState[value]}
disabled={isFilterDisabled}
className="check-box"
/>
<div
className={cx(
'checkbox-value-section',
isFilterDisabled ? 'filter-disabled' : '',
)}
onClick={(): void => {
if (isFilterDisabled) {
return;
}
onChange(value, currentFilterState[value], true);
}}
>
<div className={`${filter.title} label-${value}`} />
{filter.customRendererForValue ? (
filter.customRendererForValue(value)
) : (
<Typography.Text className="value-string" truncate={1}>
{String(value)}
</Typography.Text>
)}
<Button type="text" className="only-btn">
{isSomeFilterPresentForCurrentAttribute
? currentFilterState[value] && !isMultipleValuesTrueForTheKey
? 'All'
: 'Only'
: 'Only'}
</Button>
<Button type="text" className="toggle-btn">
Toggle
</Button>
</div>
</div>
<CheckboxValueRow
value={value}
checked={currentFilterState[value]}
disabled={isFilterDisabled}
title={filter.title}
onlyButtonLabel={
isSomeFilterPresentForCurrentAttribute
? currentFilterState[value] && !isMultipleValuesTrueForTheKey
? 'All'
: 'Only'
: 'Only'
}
customRendererForValue={filter.customRendererForValue}
onCheckboxChange={(checked): void => onChange(value, checked, false)}
onOnlyOrAllClick={(): void =>
onChange(value, currentFilterState[value], true)
}
/>
</Fragment>
))}
</section>
@@ -688,10 +155,7 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
)}
{visibleItemsCount < attributeValues?.length && (
<section className="show-more">
<Typography.Text
className="show-more-text"
onClick={(): void => setVisibleItemsCount((prev) => prev + 10)}
>
<Typography.Text className="show-more-text" onClick={onShowMore}>
Show More...
</Typography.Text>
</section>

View File

@@ -0,0 +1,47 @@
import { Typography } from '@signozhq/ui/typography';
import { ChevronDown, ChevronRight } from '@signozhq/icons';
interface CheckboxFilterHeaderProps {
title: string;
isOpen: boolean;
showClearAll: boolean;
onToggleOpen: () => void;
onClear: () => void;
}
function CheckboxFilterHeader({
title,
isOpen,
showClearAll,
onToggleOpen,
onClear,
}: CheckboxFilterHeaderProps): JSX.Element {
return (
<section className="filter-header-checkbox" onClick={onToggleOpen}>
<section className="left-action">
{isOpen ? (
<ChevronDown size={13} cursor="pointer" />
) : (
<ChevronRight size={13} cursor="pointer" />
)}
<Typography.Text className="title">{title}</Typography.Text>
</section>
<section className="right-action">
{isOpen && showClearAll && (
<Typography.Text
className="clear-all"
onClick={(e): void => {
e.stopPropagation();
e.preventDefault();
onClear();
}}
>
Clear All
</Typography.Text>
)}
</section>
</section>
);
}
export default CheckboxFilterHeader;

View File

@@ -0,0 +1,68 @@
import { Button } from 'antd';
import { Checkbox } from '@signozhq/ui/checkbox';
import { Typography } from '@signozhq/ui/typography';
import cx from 'classnames';
interface CheckboxValueRowProps {
value: string;
checked: boolean;
disabled: boolean;
title: string;
onlyButtonLabel: string;
customRendererForValue?: (value: string) => JSX.Element;
onCheckboxChange: (checked: boolean) => void;
onOnlyOrAllClick: () => void;
}
function CheckboxValueRow({
value,
checked,
disabled,
title,
onlyButtonLabel,
customRendererForValue,
onCheckboxChange,
onOnlyOrAllClick,
}: CheckboxValueRowProps): JSX.Element {
return (
<div className="value">
<Checkbox
onChange={(isChecked): void => onCheckboxChange(isChecked === true)}
value={checked}
disabled={disabled}
className="check-box"
/>
<div
className={cx('checkbox-value-section', disabled ? 'filter-disabled' : '')}
onClick={(): void => {
if (disabled) {
return;
}
onOnlyOrAllClick();
}}
>
<div className={`${title} label-${value}`} />
{customRendererForValue ? (
customRendererForValue(value)
) : (
<Typography.Text className="value-string" truncate={1}>
{String(value)}
</Typography.Text>
)}
<Button type="text" className="only-btn">
{onlyButtonLabel}
</Button>
<Button type="text" className="toggle-btn">
Toggle
</Button>
</div>
</div>
);
}
CheckboxValueRow.defaultProps = {
customRendererForValue: undefined,
};
export default CheckboxValueRow;

View File

@@ -0,0 +1,417 @@
/* eslint-disable sonarjs/no-identical-functions */
import { removeKeysFromExpression } from 'components/QueryBuilderV2/utils';
import {
IQuickFiltersConfig,
QuickFiltersSource,
} from 'components/QuickFilters/types';
import { OPERATORS } from 'constants/antlrQueryConstants';
import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
import { cloneDeep, isArray } from 'lodash-es';
import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
import { v4 as uuid } from 'uuid';
import { isKeyMatch } from './utils';
export const SELECTED_OPERATORS = [OPERATORS['='], 'in'];
export const NON_SELECTED_OPERATORS = [OPERATORS['!='], 'not in', 'nin'];
// Sources that use backend APIs expecting short operator format (e.g., 'nin' instead of 'not in')
const SOURCES_WITH_SHORT_OPERATORS = [QuickFiltersSource.INFRA_MONITORING];
/**
* Returns the correct NOT_IN operator value based on source.
* InfraMonitoring backend expects 'nin', others expect 'not in'.
*/
export function getNotInOperator(source: QuickFiltersSource): string {
if (SOURCES_WITH_SHORT_OPERATORS.includes(source)) {
return 'nin';
}
return getOperatorValue('NOT_IN');
}
function setDefaultValues(
values: string[],
trueOrFalse: boolean,
): Record<string, boolean> {
const defaultState: Record<string, boolean> = {};
values.forEach((val) => {
defaultState[val] = trueOrFalse;
});
return defaultState;
}
/**
* Derives the checked/unchecked state for each attribute value by reading the
* active filter clause for this attribute key out of the query.
*
* - No matching clause -> every value is checked (all selected).
* - IN / `=` clause -> only the listed values are checked.
* - NOT IN / `!=` clause -> every value is checked except the excluded ones.
*/
// eslint-disable-next-line sonarjs/cognitive-complexity
export function deriveCheckboxState({
attributeValues,
filterItems,
filterKey,
}: {
attributeValues: string[];
filterItems: TagFilterItem[] | undefined;
filterKey: string;
}): Record<string, boolean> {
let filterState: Record<string, boolean> = setDefaultValues(
attributeValues,
false,
);
const filterSync = filterItems?.find((item) =>
isKeyMatch(item.key?.key, filterKey),
);
if (filterSync) {
if (SELECTED_OPERATORS.includes(filterSync.op)) {
if (isArray(filterSync.value)) {
filterSync.value.forEach((val) => {
filterState[String(val)] = true;
});
} else if (typeof filterSync.value === 'string') {
filterState[filterSync.value] = true;
} else if (typeof filterSync.value === 'boolean') {
filterState[String(filterSync.value)] = true;
} else if (typeof filterSync.value === 'number') {
filterState[String(filterSync.value)] = true;
}
} else if (NON_SELECTED_OPERATORS.includes(filterSync.op)) {
filterState = setDefaultValues(attributeValues, true);
if (isArray(filterSync.value)) {
filterSync.value.forEach((val) => {
filterState[String(val)] = false;
});
} else if (typeof filterSync.value === 'string') {
filterState[filterSync.value] = false;
} else if (typeof filterSync.value === 'boolean') {
filterState[String(filterSync.value)] = false;
} else if (typeof filterSync.value === 'number') {
filterState[String(filterSync.value)] = false;
}
}
} else {
filterState = setDefaultValues(attributeValues, true);
}
return filterState;
}
/**
* Returns a new query with every clause for this attribute key removed, both
* from the structured filter items and the raw filter expression.
*/
export function clearFilterFromQuery({
currentQuery,
filter,
activeQueryIndex,
}: {
currentQuery: Query;
filter: IQuickFiltersConfig;
activeQueryIndex: number;
}): Query {
return {
...currentQuery,
builder: {
...currentQuery.builder,
queryData: currentQuery.builder.queryData.map((item, idx) => ({
...item,
filter: {
expression: removeKeysFromExpression(item.filter?.expression ?? '', [
filter.attributeKey.key,
]),
},
filters: {
...item.filters,
items:
idx === activeQueryIndex
? item.filters?.items?.filter(
(fil) => !isKeyMatch(fil.key?.key, filter.attributeKey.key),
) || []
: [...(item.filters?.items || [])],
op: item.filters?.op || 'AND',
},
})),
},
};
}
// eslint-disable-next-line sonarjs/cognitive-complexity
export function applyCheckboxToggle({
currentQuery,
activeQueryIndex,
filter,
source,
attributeValues,
value,
checked,
isOnlyOrAllClicked,
}: {
currentQuery: Query;
activeQueryIndex: number;
filter: IQuickFiltersConfig;
source: QuickFiltersSource;
attributeValues: string[];
value: string;
checked: boolean;
isOnlyOrAllClicked: boolean;
}): Query {
const activeItems =
currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items;
const isSomeFilterPresentForCurrentAttribute = !!activeItems?.some((item) =>
isKeyMatch(item.key?.key, filter.attributeKey.key),
);
const currentFilterState = deriveCheckboxState({
attributeValues,
filterItems: activeItems,
filterKey: filter.attributeKey.key,
});
const isMultipleValuesTrueForTheKey =
Object.values(currentFilterState).filter((val) => val).length > 1;
const query = cloneDeep(currentQuery.builder.queryData?.[activeQueryIndex]);
// if only or all are clicked we do not need to worry about anything just override whatever we have
// by either adding a new IN operator value clause in case of ONLY or remove everything we have for ALL.
if (isOnlyOrAllClicked && query?.filters?.items) {
const isOnlyOrAll = isSomeFilterPresentForCurrentAttribute
? currentFilterState[value] && !isMultipleValuesTrueForTheKey
? 'All'
: 'Only'
: 'Only';
query.filters.items = query.filters.items.filter(
(q) => !isKeyMatch(q.key?.key, filter.attributeKey.key),
);
if (query.filter?.expression) {
query.filter.expression = removeKeysFromExpression(query.filter.expression, [
filter.attributeKey.key,
]);
}
if (isOnlyOrAll === 'Only') {
const newFilterItem: TagFilterItem = {
id: uuid(),
op: getOperatorValue(OPERATORS.IN),
key: filter.attributeKey,
value,
};
query.filters.items = [...query.filters.items, newFilterItem];
}
} else if (query?.filters?.items) {
if (
query.filters?.items?.some((item) =>
isKeyMatch(item.key?.key, filter.attributeKey.key),
)
) {
// if there is already a running filter for the current attribute key then
// we split the cases by which particular operator is present right now!
const currentFilter = query.filters?.items?.find((q) =>
isKeyMatch(q.key?.key, filter.attributeKey.key),
);
if (currentFilter) {
const runningOperator = currentFilter?.op;
switch (runningOperator) {
case 'in':
if (checked) {
// if it's an IN operator then if we are checking another value it get's added to the
// filter clause. example - key IN [value1, currentSelectedValue]
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: [...currentFilter.value, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else {
// if the current state wasn't an array we make it one and add our value
const newFilter = {
...currentFilter,
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else if (!checked) {
// if we are removing some value when the running operator is IN we filter.
// example - key IN [value1,currentSelectedValue] becomes key IN [value1] in case of array
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: currentFilter.value.filter((val) => val !== value),
};
if (newFilter.value.length === 0) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
} else {
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else {
// if not an array remove the whole thing altogether!
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
}
break;
case 'nin':
case 'not in':
// if the current running operator is NIN then when unchecking the value it gets
// added to the clause like key NIN [value1 , currentUnselectedValue]
if (!checked) {
// in case of array add the currentUnselectedValue to the list.
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: [...currentFilter.value, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else {
// in case of not an array make it one!
const newFilter = {
...currentFilter,
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else if (checked) {
// opposite of above!
if (isArray(currentFilter.value)) {
const newFilter = {
...currentFilter,
value: currentFilter.value.filter((val) => val !== value),
};
if (newFilter.value.length === 0) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
if (query.filter?.expression) {
query.filter.expression = removeKeysFromExpression(
query.filter.expression,
[filter.attributeKey.key],
);
}
} else {
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
}
} else {
const newFilter = {
...currentFilter,
value: currentFilter.value === value ? null : currentFilter.value,
};
if (newFilter.value === null && query.filter?.expression) {
query.filter.expression = removeKeysFromExpression(
query.filter.expression,
[filter.attributeKey.key],
);
}
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
}
break;
case '=':
if (checked) {
const newFilter = {
...currentFilter,
op: getOperatorValue(OPERATORS.IN),
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else if (!checked) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
break;
case '!=':
if (!checked) {
const newFilter = {
...currentFilter,
op: getNotInOperator(source),
value: [currentFilter.value as string, value],
};
query.filters.items = query.filters.items.map((item) => {
if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
return newFilter;
}
return item;
});
} else if (checked) {
query.filters.items = query.filters.items.filter(
(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
);
}
break;
default:
break;
}
}
} else {
// case - when there is no filter for the current key that means all are selected right now.
const newFilterItem: TagFilterItem = {
id: uuid(),
op: getNotInOperator(source),
key: filter.attributeKey,
value,
};
query.filters.items = [...query.filters.items, newFilterItem];
}
}
return {
...currentQuery,
builder: {
...currentQuery.builder,
queryData: [
...currentQuery.builder.queryData.map((q, idx) => {
if (idx === activeQueryIndex) {
return query;
}
return q;
}),
],
},
};
}

View File

@@ -0,0 +1,27 @@
import { useMemo } from 'react';
import { QuickFiltersSource } from 'components/QuickFilters/types';
import { PANEL_TYPES } from 'constants/queryBuilder';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
/**
* Resolves which query-builder query index the checkbox filter reads from and
* writes to.
*
* In ListView most sources use index 0; TRACES_EXPLORER and every non-ListView
* mode track the last focused query.
*/
function useActiveQueryIndex(source: QuickFiltersSource): number {
const { lastUsedQuery, panelType } = useQueryBuilder();
const isListView = panelType === PANEL_TYPES.LIST;
return useMemo(() => {
if (isListView) {
return source === QuickFiltersSource.TRACES_EXPLORER
? lastUsedQuery || 0
: 0;
}
return lastUsedQuery || 0;
}, [isListView, source, lastUsedQuery]);
}
export default useActiveQueryIndex;

View File

@@ -0,0 +1,90 @@
import { useMemo, useState } from 'react';
import { IQuickFiltersConfig } from 'components/QuickFilters/types';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { isKeyMatch } from './utils';
const DEFAULT_VISIBLE_ITEMS_COUNT = 10;
interface UseCheckboxDisclosureProps {
filter: IQuickFiltersConfig;
activeQueryIndex: number;
}
interface UseCheckboxDisclosureReturn {
isOpen: boolean;
isSomeFilterPresentForCurrentAttribute: boolean;
visibleItemsCount: number;
onToggleOpen: () => void;
onShowMore: () => void;
}
/**
* Owns the open/collapsed state of a checkbox filter section and how many
* values are visible.
*
* Auto-opens when the query already has a clause for this attribute, otherwise
* falls back to `filter.defaultOpen`. An explicit user toggle always wins.
* Collapsing resets the visible count.
*/
function useCheckboxDisclosure({
filter,
activeQueryIndex,
}: UseCheckboxDisclosureProps): UseCheckboxDisclosureReturn {
const { currentQuery } = useQueryBuilder();
// null = no user action, true = user opened, false = user closed
const [userToggleState, setUserToggleState] = useState<boolean | null>(null);
const [visibleItemsCount, setVisibleItemsCount] = useState<number>(
DEFAULT_VISIBLE_ITEMS_COUNT,
);
const isSomeFilterPresentForCurrentAttribute = useMemo(
() =>
!!currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items?.some(
(item) => isKeyMatch(item.key?.key, filter.attributeKey.key),
),
[currentQuery.builder.queryData, activeQueryIndex, filter.attributeKey.key],
);
const isOpen = useMemo(() => {
// If user explicitly toggled, respect that
if (userToggleState !== null) {
return userToggleState;
}
// Auto-open if this filter has active filters in the query
if (isSomeFilterPresentForCurrentAttribute) {
return true;
}
// Otherwise use default behavior (first 2 filters open)
return filter.defaultOpen;
}, [
userToggleState,
isSomeFilterPresentForCurrentAttribute,
filter.defaultOpen,
]);
const onToggleOpen = (): void => {
if (isOpen) {
setUserToggleState(false);
setVisibleItemsCount(DEFAULT_VISIBLE_ITEMS_COUNT);
} else {
setUserToggleState(true);
}
};
const onShowMore = (): void => {
setVisibleItemsCount((prev) => prev + DEFAULT_VISIBLE_ITEMS_COUNT);
};
return {
isOpen,
isSomeFilterPresentForCurrentAttribute,
visibleItemsCount,
onToggleOpen,
onShowMore,
};
}
export default useCheckboxDisclosure;

View File

@@ -0,0 +1,78 @@
import {
IQuickFiltersConfig,
QuickFiltersSource,
} from 'components/QuickFilters/types';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { isFunction } from 'lodash-es';
import { Query } from 'types/api/queryBuilder/queryBuilderData';
import {
applyCheckboxToggle,
clearFilterFromQuery,
} from './checkboxFilterQuery';
interface UseCheckboxFilterActionsProps {
filter: IQuickFiltersConfig;
source: QuickFiltersSource;
attributeValues: string[];
activeQueryIndex: number;
onFilterChange?: ((query: Query) => void) | null;
}
interface UseCheckboxFilterActionsReturn {
onChange: (
value: string,
checked: boolean,
isOnlyOrAllClicked: boolean,
) => void;
onClear: () => void;
}
/**
* Wires the pure checkbox query algebra to query-builder dispatch: the
* caller-provided `onFilterChange` when present, otherwise a URL redirect.
*/
function useCheckboxFilterActions({
filter,
source,
attributeValues,
activeQueryIndex,
onFilterChange,
}: UseCheckboxFilterActionsProps): UseCheckboxFilterActionsReturn {
const { currentQuery, redirectWithQueryBuilderData } = useQueryBuilder();
const dispatch = (query: Query): void => {
if (onFilterChange && isFunction(onFilterChange)) {
onFilterChange(query);
} else {
redirectWithQueryBuilderData(query);
}
};
const onChange = (
value: string,
checked: boolean,
isOnlyOrAllClicked: boolean,
): void => {
dispatch(
applyCheckboxToggle({
currentQuery,
activeQueryIndex,
filter,
source,
attributeValues,
value,
checked,
isOnlyOrAllClicked,
}),
);
};
const onClear = (): void => {
dispatch(clearFilterFromQuery({ currentQuery, filter, activeQueryIndex }));
};
return { onChange, onClear };
}
export default useCheckboxFilterActions;

View File

@@ -0,0 +1,71 @@
import { useMemo } from 'react';
import { IQuickFiltersConfig } from 'components/QuickFilters/types';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { deriveCheckboxState } from './checkboxFilterQuery';
import { isKeyMatch } from './utils';
interface UseCheckboxFilterStateProps {
filter: IQuickFiltersConfig;
attributeValues: string[];
activeQueryIndex: number;
}
interface UseCheckboxFilterStateReturn {
currentFilterState: Record<string, boolean>;
isFilterDisabled: boolean;
isMultipleValuesTrueForTheKey: boolean;
}
/**
* Reads the active query and derives the per-value checked state for this
* attribute, whether the filter is disabled (same key used more than once in
* the filter bar), and whether more than one value is currently selected.
*/
function useCheckboxFilterState({
filter,
attributeValues,
activeQueryIndex,
}: UseCheckboxFilterStateProps): UseCheckboxFilterStateReturn {
const { currentQuery } = useQueryBuilder();
// derive the state of each filter key here and keep it in sync with current query
const currentFilterState = useMemo(
() =>
deriveCheckboxState({
attributeValues,
filterItems:
currentQuery?.builder.queryData?.[activeQueryIndex]?.filters?.items,
filterKey: filter.attributeKey.key,
}),
[
attributeValues,
currentQuery?.builder.queryData,
filter.attributeKey,
activeQueryIndex,
],
);
// disable the filter when there are multiple entries of the same attribute key present in the filter bar
const isFilterDisabled = useMemo(
() =>
(currentQuery?.builder?.queryData?.[
activeQueryIndex
]?.filters?.items?.filter((item) =>
isKeyMatch(item.key?.key, filter.attributeKey.key),
)?.length || 0) > 1,
[currentQuery?.builder?.queryData, activeQueryIndex, filter.attributeKey],
);
// whether the current filter has multiple values to its name in the key op value section
const isMultipleValuesTrueForTheKey =
Object.values(currentFilterState).filter((val) => val).length > 1;
return {
currentFilterState,
isFilterDisabled,
isMultipleValuesTrueForTheKey,
};
}
export default useCheckboxFilterState;

View File

@@ -0,0 +1,99 @@
import { useMemo } from 'react';
import {
IQuickFiltersConfig,
QuickFiltersSource,
} from 'components/QuickFilters/types';
import { DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY } from 'constants/queryBuilder';
import { useGetAggregateValues } from 'hooks/queryBuilder/useGetAggregateValues';
import { useGetQueryKeyValueSuggestions } from 'hooks/querySuggestions/useGetQueryKeyValueSuggestions';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { DataSource } from 'types/common/queryBuilder';
interface UseCheckboxFilterValuesProps {
filter: IQuickFiltersConfig;
source: QuickFiltersSource;
searchText: string;
isOpen: boolean;
}
interface UseCheckboxFilterValuesReturn {
attributeValues: string[];
isLoading: boolean;
}
function useCheckboxFilterValues({
filter,
source,
searchText,
isOpen,
}: UseCheckboxFilterValuesProps): UseCheckboxFilterValuesReturn {
const { data, isLoading } = useGetAggregateValues(
{
aggregateOperator: filter.aggregateOperator || 'noop',
dataSource: filter.dataSource || DataSource.LOGS,
aggregateAttribute: filter.aggregateAttribute || '',
attributeKey: filter.attributeKey.key,
filterAttributeKeyDataType: filter.attributeKey.dataType || DataTypes.EMPTY,
tagType: filter.attributeKey.type || '',
searchText: searchText ?? '',
},
{
enabled: isOpen && source !== QuickFiltersSource.METER_EXPLORER,
keepPreviousData: true,
},
);
const { data: keyValueSuggestions, isLoading: isLoadingKeyValueSuggestions } =
useGetQueryKeyValueSuggestions({
key: filter.attributeKey.key,
signal: filter.dataSource || DataSource.LOGS,
signalSource: 'meter',
options: {
enabled: isOpen && source === QuickFiltersSource.METER_EXPLORER,
keepPreviousData: true,
},
});
const attributeValues: string[] = useMemo(() => {
const dataType = filter.attributeKey.dataType || DataTypes.String;
if (source === QuickFiltersSource.METER_EXPLORER && keyValueSuggestions) {
// Process the response data
const responseData = keyValueSuggestions?.data as any;
const values = responseData.data?.values || {};
const stringValues = values.stringValues || [];
const numberValues = values.numberValues || [];
// Generate options from string values - explicitly handle empty strings
const stringOptions = stringValues
// Strict filtering for empty string - we'll handle it as a special case if needed
.filter(
(value: string | null | undefined): value is string =>
value !== null && value !== undefined && value !== '',
);
// Generate options from number values
const numberOptions = numberValues
.filter(
(value: number | null | undefined): value is number =>
value !== null && value !== undefined,
)
.map((value: number) => value.toString());
// Combine all options and make sure we don't have duplicate labels
return [...stringOptions, ...numberOptions];
}
const key = DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY[dataType];
return (data?.payload?.[key] || []).filter(
(val) => val !== undefined && val !== null,
);
}, [data?.payload, filter.attributeKey.dataType, keyValueSuggestions, source]);
return {
attributeValues,
isLoading: isLoading || isLoadingKeyValueSuggestions,
};
}
export default useCheckboxFilterValues;

View File

@@ -2,15 +2,16 @@ import { useState } from 'react';
import { Button } from '@signozhq/ui/button';
import { Typography } from '@signozhq/ui/typography';
import dashboardVariablesQuery from 'api/dashboard/variables/dashboardVariablesQuery';
import { DashboardtypesListVariableSpecSortDTO as VariableSortDTO } from 'api/generated/services/sigNoz.schemas';
import Editor from 'components/Editor';
import sortValues from 'lib/dashboardVariables/sortVariableValues';
import type { VariableSort } from '../variableModel';
import { sortDirectionOf } from '../variableModel';
import styles from './VariableForm.module.scss';
interface QueryVariableFieldsProps {
queryValue: string;
sort: VariableSort;
sort: VariableSortDTO;
onChange: (queryValue: string) => void;
onPreview: (values: (string | number)[]) => void;
onError: (message: string | null) => void;
@@ -36,7 +37,10 @@ function QueryVariableFields({
});
if (res.statusCode === 200 && res.payload) {
onPreview(
sortValues(res.payload.variableValues ?? [], sort) as (string | number)[],
sortValues(res.payload.variableValues ?? [], sortDirectionOf(sort)) as (
| string
| number
)[],
);
} else {
onError(res.error || 'Failed to run query');

View File

@@ -12,10 +12,12 @@ import { Collapse, Input as AntdInput, Select } from 'antd';
import { commaValuesParser } from 'lib/dashboardVariables/customCommaValuesParser';
import sortValues from 'lib/dashboardVariables/sortVariableValues';
import { DashboardtypesListVariableSpecSortDTO as VariableSortDTO } from 'api/generated/services/sigNoz.schemas';
import {
sortDirectionOf,
VARIABLE_SORTS,
type VariableFormModel,
type VariableSort,
type VariableType,
} from '../variableModel';
import DynamicVariableFields from './DynamicVariableFields';
@@ -23,10 +25,16 @@ import QueryVariableFields from './QueryVariableFields';
import VariableTypeSelector from './VariableTypeSelector';
import styles from './VariableForm.module.scss';
const SORT_LABEL: Record<VariableSort, string> = {
DISABLED: 'Disabled',
ASC: 'Ascending',
DESC: 'Descending',
const SORT_LABEL: Record<VariableSortDTO, string> = {
[VariableSortDTO.none]: 'Disabled',
[VariableSortDTO['alphabetical-asc']]: 'Alphabetical (asc)',
[VariableSortDTO['alphabetical-desc']]: 'Alphabetical (desc)',
[VariableSortDTO['numerical-asc']]: 'Numerical (asc)',
[VariableSortDTO['numerical-desc']]: 'Numerical (desc)',
[VariableSortDTO['alphabetical-ci-asc']]:
'Alphabetical, case-insensitive (asc)',
[VariableSortDTO['alphabetical-ci-desc']]:
'Alphabetical, case-insensitive (desc)',
};
function getNameError(name: string, existingNames: string[]): string | null {
@@ -91,7 +99,10 @@ function VariableForm({
const onCustomChange = (value: string): void => {
set({ customValue: value });
setPreviewValues(
sortValues(commaValuesParser(value), model.sort) as (string | number)[],
sortValues(commaValuesParser(value), sortDirectionOf(model.sort)) as (
| string
| number
)[],
);
};
@@ -259,7 +270,7 @@ function VariableForm({
label: SORT_LABEL[sort],
value: sort,
}))}
onChange={(value): void => set({ sort: value as VariableSort })}
onChange={(value): void => set({ sort: value as VariableSortDTO })}
testId="variable-sort-select"
/>
</div>

View File

@@ -1,16 +1,17 @@
import {
DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpecDTOKind as TextEnvelopeKind,
DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpecDTOKind as TextEnvelopeKind,
DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpecDTOKind as ListEnvelopeKind,
DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesCustomVariableSpecDTOKind as CustomPluginKind,
DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesDynamicVariableSpecDTOKind as DynamicPluginKind,
DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesQueryVariableSpecDTOKind as QueryPluginKind,
DashboardtypesListVariableSpecSortDTO as VariableSortDTO,
TelemetrytypesSignalDTO,
} from 'api/generated/services/sigNoz.schemas';
import type {
DashboardtypesListVariableSpecDTO,
DashboardtypesVariableDTO,
DashboardtypesVariablePluginDTO,
DashboardTextVariableSpecDTO,
DashboardtypesTextVariableSpecDTO,
} from 'api/generated/services/sigNoz.schemas';
import {
@@ -18,7 +19,6 @@ import {
PLUGIN_KIND,
type TelemetrySignal,
type VariableFormModel,
type VariableSort,
} from './variableModel';
/** DTO envelope → flat form model (for display / editing). */
@@ -35,7 +35,7 @@ export function dtoToFormModel(
// Text variable — a distinct envelope (no list plugin).
if (dto.kind === TextEnvelopeKind.TextVariable) {
const spec = dto.spec as DashboardTextVariableSpecDTO;
const spec = dto.spec as DashboardtypesTextVariableSpecDTO;
return {
...common,
type: 'TEXT',
@@ -50,7 +50,7 @@ export function dtoToFormModel(
...common,
multiSelect: spec.allowMultiple ?? false,
showAllOption: spec.allowAllValue ?? false,
sort: (spec.sort as VariableSort) ?? 'DISABLED',
sort: spec.sort ?? VariableSortDTO.none,
defaultValue: spec.defaultValue,
};
const plugin = spec.plugin;

View File

@@ -1,4 +1,6 @@
import { DashboardtypesListVariableSpecSortDTO as VariableSortDTO } from 'api/generated/services/sigNoz.schemas';
import type { VariableDefaultValueDTO } from 'api/generated/services/sigNoz.schemas';
import type { TSortVariableValuesType } from 'types/api/dashboard/getAll';
/**
* Flat, UI-friendly representation of a V2 dashboard variable. The wire format
@@ -8,8 +10,6 @@ import type { VariableDefaultValueDTO } from 'api/generated/services/sigNoz.sche
export type VariableType = 'QUERY' | 'CUSTOM' | 'TEXT' | 'DYNAMIC';
export type VariableSort = 'DISABLED' | 'ASC' | 'DESC';
export type TelemetrySignal = 'traces' | 'logs' | 'metrics';
/** Wire `kind` discriminators (string values of the generated enums). */
@@ -24,7 +24,20 @@ export const PLUGIN_KIND = {
DYNAMIC: 'signoz/DynamicVariable',
} as const;
export const VARIABLE_SORTS: VariableSort[] = ['DISABLED', 'ASC', 'DESC'];
export const VARIABLE_SORTS: VariableSortDTO[] = Object.values(VariableSortDTO);
/** Direction the preview sorter should apply for a given wire sort value. */
export function sortDirectionOf(
sort: VariableSortDTO,
): TSortVariableValuesType {
if (sort.endsWith('-asc')) {
return 'ASC';
}
if (sort.endsWith('-desc')) {
return 'DESC';
}
return 'DISABLED';
}
export const TELEMETRY_SIGNALS: TelemetrySignal[] = [
'traces',
@@ -42,7 +55,7 @@ export interface VariableFormModel {
// List-variable common fields (Query / Custom / Dynamic).
multiSelect: boolean;
showAllOption: boolean;
sort: VariableSort;
sort: VariableSortDTO;
// Type-specific.
queryValue: string; // QUERY
@@ -67,7 +80,7 @@ export function emptyVariableFormModel(): VariableFormModel {
type: 'QUERY',
multiSelect: false,
showAllOption: false,
sort: 'DISABLED',
sort: VariableSortDTO.none,
queryValue: '',
customValue: '',
textValue: '',

View File

@@ -69,19 +69,24 @@ function stripUndefinedLabels(
export function toPostableRuleDTO(
local: PostableAlertRuleV2,
): RuletypesPostableRuleDTO {
const payload = {
const payload: Record<keyof RuletypesPostableRuleDTO, any> = {
alert: local.alert,
alertType: toAlertTypeDTO(local.alertType),
ruleType: toRuleTypeDTO(local.ruleType),
condition: local.condition,
annotations: local.annotations,
labels: stripUndefinedLabels(local.labels),
evalWindow: (local as unknown as RuletypesPostableRuleDTO).evalWindow,
frequency: (local as unknown as RuletypesPostableRuleDTO).frequency,
preferredChannels: (local as unknown as RuletypesPostableRuleDTO)
.preferredChannels,
notificationSettings: local.notificationSettings,
evaluation: local.evaluation,
schemaVersion: local.schemaVersion,
source: local.source,
version: local.version,
disabled: local.disabled,
description: (local as unknown as RuletypesPostableRuleDTO).description,
};
return payload as unknown as RuletypesPostableRuleDTO;
}
@@ -89,7 +94,7 @@ export function toPostableRuleDTO(
export function toPostableRuleDTOFromAlertDef(
local: AlertDef,
): RuletypesPostableRuleDTO {
const payload = {
const payload: Record<keyof RuletypesPostableRuleDTO, any> = {
alert: local.alert,
alertType: toAlertTypeDTO(local.alertType),
ruleType: toRuleTypeDTO(local.ruleType),
@@ -99,11 +104,16 @@ export function toPostableRuleDTOFromAlertDef(
evalWindow: local.evalWindow,
frequency: local.frequency,
preferredChannels: local.preferredChannels,
notificationSettings: (local as unknown as RuletypesPostableRuleDTO)
.notificationSettings,
evaluation: (local as unknown as RuletypesPostableRuleDTO).evaluation,
schemaVersion: (local as unknown as RuletypesPostableRuleDTO).schemaVersion,
source: local.source,
version: local.version,
disabled: local.disabled,
description: (local as unknown as RuletypesPostableRuleDTO).description,
};
return payload as unknown as RuletypesPostableRuleDTO;
return payload;
}
export function fromRuleDTOToPostableRuleV2(

View File

@@ -16,7 +16,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListHosts",
Tags: []string{"inframonitoring"},
Summary: "List Hosts for Infra Monitoring",
Description: "Returns a paginated list of hosts with key infrastructure metrics: CPU usage (%), memory usage (%), I/O wait (%), disk usage (%), and 15-minute load average. Each host includes its current status (active/inactive based on metrics reported in the last 10 minutes) and metadata attributes (e.g., os.type). Supports filtering via a filter expression, filtering by host status, custom groupBy to aggregate hosts by any attribute, ordering by any of the five metrics, and pagination via offset/limit. The response type is 'list' for the default host.name grouping or 'grouped_list' for custom groupBy keys. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (cpu, memory, wait, load15, diskUsage) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of hosts with key infrastructure metrics: CPU usage (%), memory usage (%), I/O wait (%), disk usage (%), and 15-minute load average. Each host includes its current status (active/inactive based on metrics reported in the last 10 minutes) and metadata attributes (e.g., os.type). Supports filtering via a filter expression, filtering by host status, custom groupBy to aggregate hosts by any attribute, ordering by any of the five metrics, and pagination via offset/limit. The response type is 'list' for the default host.name grouping or 'grouped_list' for custom groupBy keys. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (cpu, memory, wait, load15, diskUsage) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableHosts),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Hosts),
@@ -35,7 +35,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListPods",
Tags: []string{"inframonitoring"},
Summary: "List Pods for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes pods with key metrics: CPU usage, CPU request/limit utilization, memory working set, memory request/limit utilization, current pod phase (pending/running/succeeded/failed/unknown/no_data), and pod age (ms since start time). Each pod includes metadata attributes (namespace, node, workload owner such as deployment/statefulset/daemonset/job/cronjob, cluster). Supports filtering via a filter expression, custom groupBy to aggregate pods by any attribute, ordering by any of the six metrics (cpu, cpu_request, cpu_limit, memory, memory_request, memory_limit), and pagination via offset/limit. The response type is 'list' for the default k8s.pod.uid grouping (each row is one pod with its current phase) or 'grouped_list' for custom groupBy keys (each row aggregates pods in the group with per-phase counts under podCountsByPhase: { pending, running, succeeded, failed, unknown } derived from each pod's latest phase in the window). Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (podCPU, podCPURequest, podCPULimit, podMemory, podMemoryRequest, podMemoryLimit, podAge) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes pods with key metrics: CPU usage, CPU request/limit utilization, memory working set, memory request/limit utilization, current pod phase (pending/running/succeeded/failed/unknown/no_data), and pod age (ms since start time). Each pod includes metadata attributes (namespace, node, workload owner such as deployment/statefulset/daemonset/job/cronjob, cluster). Supports filtering via a filter expression, custom groupBy to aggregate pods by any attribute, ordering by any of the six metrics (cpu, cpu_request, cpu_limit, memory, memory_request, memory_limit), and pagination via offset/limit. The response type is 'list' for the default k8s.pod.uid grouping (each row is one pod with its current phase) or 'grouped_list' for custom groupBy keys (each row aggregates pods in the group with per-phase counts under podCountsByPhase: { pending, running, succeeded, failed, unknown } derived from each pod's latest phase in the window). Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (podCPU, podCPURequest, podCPULimit, podMemory, podMemoryRequest, podMemoryLimit, podAge) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostablePods),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Pods),
@@ -54,7 +54,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListNodes",
Tags: []string{"inframonitoring"},
Summary: "List Nodes for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes nodes with key metrics: CPU usage, CPU allocatable, memory working set, memory allocatable, per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready in the window) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } for pods scheduled on the listed nodes). Each node includes metadata attributes (k8s.node.uid, k8s.cluster.name). The response type is 'list' for the default k8s.node.name grouping (each row is one node with its current condition string: ready / not_ready / no_data) or 'grouped_list' for custom groupBy keys (each row aggregates nodes in the group; condition stays no_data). Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (nodeCPU, nodeCPUAllocatable, nodeMemory, nodeMemoryAllocatable) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes nodes with key metrics: CPU usage, CPU allocatable, memory working set, memory allocatable, per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready in the window) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } for pods scheduled on the listed nodes). Each node includes metadata attributes (k8s.node.uid, k8s.cluster.name). The response type is 'list' for the default k8s.node.name grouping (each row is one node with its current condition string: ready / not_ready / no_data) or 'grouped_list' for custom groupBy keys (each row aggregates nodes in the group; condition stays no_data). Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (nodeCPU, nodeCPUAllocatable, nodeMemory, nodeMemoryAllocatable) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableNodes),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Nodes),
@@ -73,7 +73,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListNamespaces",
Tags: []string{"inframonitoring"},
Summary: "List Namespaces for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes namespaces with key aggregated pod metrics: CPU usage and memory working set (summed across pods in the group), plus per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value in the window). Each namespace includes metadata attributes (k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.namespace.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / memory, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (namespaceCPU, namespaceMemory) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes namespaces with key aggregated pod metrics: CPU usage and memory working set (summed across pods in the group), plus per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value in the window). Each namespace includes metadata attributes (k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.namespace.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / memory, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (namespaceCPU, namespaceMemory) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableNamespaces),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Namespaces),
@@ -92,7 +92,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListClusters",
Tags: []string{"inframonitoring"},
Summary: "List Clusters for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes clusters with key aggregated metrics derived by summing per-node values within the group: CPU usage, CPU allocatable, memory working set, memory allocatable. Each row also reports per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready value) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each cluster includes metadata attributes (k8s.cluster.name). The response type is 'list' for the default k8s.cluster.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates nodes and pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (clusterCPU, clusterCPUAllocatable, clusterMemory, clusterMemoryAllocatable) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes clusters with key aggregated metrics derived by summing per-node values within the group: CPU usage, CPU allocatable, memory working set, memory allocatable. Each row also reports per-group nodeCountsByReadiness ({ ready, notReady } from each node's latest k8s.node.condition_ready value) and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each cluster includes metadata attributes (k8s.cluster.name). The response type is 'list' for the default k8s.cluster.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates nodes and pods in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_allocatable / memory / memory_allocatable, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (clusterCPU, clusterCPUAllocatable, clusterMemory, clusterMemoryAllocatable) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableClusters),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Clusters),
@@ -111,7 +111,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListVolumes",
Tags: []string{"inframonitoring"},
Summary: "List Volumes for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes persistent volume claims (PVCs) with key volume metrics: available bytes, capacity bytes, usage (capacity - available), inodes, free inodes, and used inodes. Each row also includes metadata attributes (k8s.persistentvolumeclaim.name, k8s.pod.uid, k8s.pod.name, k8s.namespace.name, k8s.node.name, k8s.statefulset.name, k8s.cluster.name). Supports filtering via a filter expression, custom groupBy to aggregate volumes by any attribute, ordering by any of the six metrics (available, capacity, usage, inodes, inodes_free, inodes_used), and pagination via offset/limit. The response type is 'list' for the default k8s.persistentvolumeclaim.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates volumes in the group. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (volumeAvailable, volumeCapacity, volumeUsage, volumeInodes, volumeInodesFree, volumeInodesUsed) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes persistent volume claims (PVCs) with key volume metrics: available bytes, capacity bytes, usage (capacity - available), inodes, free inodes, and used inodes. Each row also includes metadata attributes (k8s.persistentvolumeclaim.name, k8s.pod.uid, k8s.pod.name, k8s.namespace.name, k8s.node.name, k8s.statefulset.name, k8s.cluster.name). Supports filtering via a filter expression, custom groupBy to aggregate volumes by any attribute, ordering by any of the six metrics (available, capacity, usage, inodes, inodes_free, inodes_used), and pagination via offset/limit. The response type is 'list' for the default k8s.persistentvolumeclaim.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates volumes in the group. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (volumeAvailable, volumeCapacity, volumeUsage, volumeInodes, volumeInodesFree, volumeInodesUsed) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableVolumes),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Volumes),
@@ -130,7 +130,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListDeployments",
Tags: []string{"inframonitoring"},
Summary: "List Deployments for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes Deployments with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the deployment, plus average CPU/memory request and limit utilization (deploymentCPURequest, deploymentCPULimit, deploymentMemoryRequest, deploymentMemoryLimit). Each row also reports the latest known desiredPods (k8s.deployment.desired) and availablePods (k8s.deployment.available) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each deployment includes metadata attributes (k8s.deployment.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.deployment.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by deployments in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / available_pods, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (deploymentCPU, deploymentCPURequest, deploymentCPULimit, deploymentMemory, deploymentMemoryRequest, deploymentMemoryLimit, desiredPods, availablePods) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes Deployments with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the deployment, plus average CPU/memory request and limit utilization (deploymentCPURequest, deploymentCPULimit, deploymentMemoryRequest, deploymentMemoryLimit). Each row also reports the latest known desiredPods (k8s.deployment.desired) and availablePods (k8s.deployment.available) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each deployment includes metadata attributes (k8s.deployment.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.deployment.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by deployments in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / available_pods, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (deploymentCPU, deploymentCPURequest, deploymentCPULimit, deploymentMemory, deploymentMemoryRequest, deploymentMemoryLimit, desiredPods, availablePods) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableDeployments),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Deployments),
@@ -149,7 +149,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListStatefulSets",
Tags: []string{"inframonitoring"},
Summary: "List StatefulSets for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes StatefulSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the statefulset, plus average CPU/memory request and limit utilization (statefulSetCPURequest, statefulSetCPULimit, statefulSetMemoryRequest, statefulSetMemoryLimit). Each row also reports the latest known desiredPods (k8s.statefulset.desired_pods) and currentPods (k8s.statefulset.current_pods) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each statefulset includes metadata attributes (k8s.statefulset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.statefulset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by statefulsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / current_pods, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (statefulSetCPU, statefulSetCPURequest, statefulSetCPULimit, statefulSetMemory, statefulSetMemoryRequest, statefulSetMemoryLimit, desiredPods, currentPods) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes StatefulSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the statefulset, plus average CPU/memory request and limit utilization (statefulSetCPURequest, statefulSetCPULimit, statefulSetMemoryRequest, statefulSetMemoryLimit). Each row also reports the latest known desiredPods (k8s.statefulset.desired_pods) and currentPods (k8s.statefulset.current_pods) replica counts and per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each statefulset includes metadata attributes (k8s.statefulset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.statefulset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by statefulsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_pods / current_pods, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (statefulSetCPU, statefulSetCPURequest, statefulSetCPULimit, statefulSetMemory, statefulSetMemoryRequest, statefulSetMemoryLimit, desiredPods, currentPods) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableStatefulSets),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.StatefulSets),
@@ -168,7 +168,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListJobs",
Tags: []string{"inframonitoring"},
Summary: "List Jobs for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes Jobs with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the job, plus average CPU/memory request and limit utilization (jobCPURequest, jobCPULimit, jobMemoryRequest, jobMemoryLimit). Each row also reports the latest known job-level counters from kube-state-metrics: desiredSuccessfulPods (k8s.job.desired_successful_pods, the target completion count), activePods (k8s.job.active_pods), failedPods (k8s.job.failed_pods, cumulative across the lifetime of the job), and successfulPods (k8s.job.successful_pods, cumulative). It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value); note podCountsByPhase.failed (current pod-phase) is distinct from failedPods (cumulative job kube-state-metric). Each job includes metadata attributes (k8s.job.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.job.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by jobs in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_successful_pods / active_pods / failed_pods / successful_pods, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (jobCPU, jobCPURequest, jobCPULimit, jobMemory, jobMemoryRequest, jobMemoryLimit, desiredSuccessfulPods, activePods, failedPods, successfulPods) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes Jobs with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the job, plus average CPU/memory request and limit utilization (jobCPURequest, jobCPULimit, jobMemoryRequest, jobMemoryLimit). Each row also reports the latest known job-level counters from kube-state-metrics: desiredSuccessfulPods (k8s.job.desired_successful_pods, the target completion count), activePods (k8s.job.active_pods), failedPods (k8s.job.failed_pods, cumulative across the lifetime of the job), and successfulPods (k8s.job.successful_pods, cumulative). It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value); note podCountsByPhase.failed (current pod-phase) is distinct from failedPods (cumulative job kube-state-metric). Each job includes metadata attributes (k8s.job.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.job.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by jobs in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_successful_pods / active_pods / failed_pods / successful_pods, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (jobCPU, jobCPURequest, jobCPULimit, jobMemory, jobMemoryRequest, jobMemoryLimit, desiredSuccessfulPods, activePods, failedPods, successfulPods) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableJobs),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.Jobs),
@@ -187,7 +187,7 @@ func (provider *provider) addInfraMonitoringRoutes(router *mux.Router) error {
ID: "ListDaemonSets",
Tags: []string{"inframonitoring"},
Summary: "List DaemonSets for Infra Monitoring",
Description: "Returns a paginated list of Kubernetes DaemonSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the daemonset, plus average CPU/memory request and limit utilization (daemonSetCPURequest, daemonSetCPULimit, daemonSetMemoryRequest, daemonSetMemoryLimit). Each row also reports the latest known node-level counters from kube-state-metrics: desiredNodes (k8s.daemonset.desired_scheduled_nodes, the number of nodes the daemonset wants to run on) and currentNodes (k8s.daemonset.current_scheduled_nodes, the number of nodes the daemonset currently runs on) — note these are node counts, not pod counts. It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each daemonset includes metadata attributes (k8s.daemonset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.daemonset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by daemonsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_nodes / current_nodes, and pagination via offset/limit. Also reports whether the requested time range falls before the data retention boundary. Numeric metric fields (daemonSetCPU, daemonSetCPURequest, daemonSetCPULimit, daemonSetMemory, daemonSetMemoryRequest, daemonSetMemoryLimit, desiredNodes, currentNodes) return -1 as a sentinel when no data is available for that field.",
Description: "Returns a paginated list of Kubernetes DaemonSets with key aggregated pod metrics: CPU usage and memory working set summed across pods owned by the daemonset, plus average CPU/memory request and limit utilization (daemonSetCPURequest, daemonSetCPULimit, daemonSetMemoryRequest, daemonSetMemoryLimit). Each row also reports the latest known node-level counters from kube-state-metrics: desiredNodes (k8s.daemonset.desired_scheduled_nodes, the number of nodes the daemonset wants to run on) and currentNodes (k8s.daemonset.current_scheduled_nodes, the number of nodes the daemonset currently runs on) — note these are node counts, not pod counts. It also reports per-group podCountsByPhase ({ pending, running, succeeded, failed, unknown } from each pod's latest k8s.pod.phase value). Each daemonset includes metadata attributes (k8s.daemonset.name, k8s.namespace.name, k8s.cluster.name). The response type is 'list' for the default k8s.daemonset.name grouping or 'grouped_list' for custom groupBy keys; in both modes every row aggregates pods owned by daemonsets in the group. Supports filtering via a filter expression, custom groupBy, ordering by cpu / cpu_request / cpu_limit / memory / memory_request / memory_limit / desired_nodes / current_nodes, and pagination via offset/limit. Also reports missing required metrics and whether the requested time range falls before the data retention boundary. Numeric metric fields (daemonSetCPU, daemonSetCPURequest, daemonSetCPULimit, daemonSetMemory, daemonSetMemoryRequest, daemonSetMemoryLimit, desiredNodes, currentNodes) return -1 as a sentinel when no data is available for that field.",
Request: new(inframonitoringtypes.PostableDaemonSets),
RequestContentType: "application/json",
Response: new(inframonitoringtypes.DaemonSets),

View File

@@ -413,27 +413,64 @@ func (m *module) buildFilterClause(ctx context.Context, filter *qbtypes.Filter,
// NOTE: this method is not specific to infra monitoring — it queries attributes_metadata generically.
// Consider moving to telemetryMetaStore when a second use case emerges.
//
// getEarliestMetricTime returns the earliest first_reported_unix_milli across the
// given metric names. It is used solely for the end-time-before-retention check.
// When none of the metrics have ever been reported, it returns 0.
func (m *module) getEarliestMetricTime(ctx context.Context, metricNames []string) (uint64, error) {
// getMetricsExistenceAndEarliestTime checks which of the given metric names have been
// reported. It returns a list of missing metrics (those not found or with zero count)
// and the earliest first-reported timestamp across all present metrics.
// When all metrics are missing, minFirstReportedUnixMilli is 0.
// TODO(nikhilmantri0902, srikanthccv): This method was designed this way because querier errors if any of the metrics
// in the querier list was never sent, the QueryRange call throws not found error. Modify this method, if QueryRange
// behaviour changes towards this.
func (m *module) getMetricsExistenceAndEarliestTime(ctx context.Context, metricNames []string) ([]string, uint64, error) {
if len(metricNames) == 0 {
return 0, nil
return nil, 0, nil
}
sb := sqlbuilder.NewSelectBuilder()
sb.Select("min(first_reported_unix_milli) AS min_first_reported")
sb.Select("metric_name", "count(*) AS cnt", "min(first_reported_unix_milli) AS min_first_reported")
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.In("metric_name", sqlbuilder.List(metricNames)))
sb.GroupBy("metric_name")
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
var minFirstReported uint64
if err := m.telemetryStore.ClickhouseDB().QueryRow(ctx, query, args...).Scan(&minFirstReported); err != nil {
return 0, err
rows, err := m.telemetryStore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, 0, err
}
defer rows.Close()
type metricInfo struct {
count uint64
minFirstReported uint64
}
found := make(map[string]metricInfo, len(metricNames))
for rows.Next() {
var name string
var cnt, minFR uint64
if err := rows.Scan(&name, &cnt, &minFR); err != nil {
return nil, 0, err
}
found[name] = metricInfo{count: cnt, minFirstReported: minFR}
}
if err := rows.Err(); err != nil {
return nil, 0, err
}
return minFirstReported, nil
var missingMetrics []string
var globalMinFirstReported uint64
for _, name := range metricNames {
info, ok := found[name]
if !ok || info.count == 0 {
missingMetrics = append(missingMetrics, name)
continue
}
if globalMinFirstReported == 0 || info.minFirstReported < globalMinFirstReported {
globalMinFirstReported = info.minFirstReported
}
}
return missingMetrics, globalMinFirstReported, nil
}
// getMetadata fetches the latest values of additionalCols for each unique combination of groupBy keys,

View File

@@ -78,18 +78,26 @@ func (m *module) ListHosts(ctx context.Context, orgID valuer.UUID, req *inframon
resp.Type = inframonitoringtypes.ResponseTypeGroupedList
}
// If req.End is before the earliest reported time for these metrics, return early
// with endTimeBeforeRetention=true.
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, hostsTableMetricNamesList)
// 1. Check which required metrics exist and get earliest retention time.
// If any required metric is missing, return early with the list of missing metrics.
// 2. If metrics exist but req.End is before the earliest reported time, return early with endTimeBeforeRetention=true.
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, hostsTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.HostRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.HostRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
// TOD(nikhilmantri0902): replace this separate ClickHouse query with a sub-query inside the main query builder query
// once QB supports sub-queries.
@@ -183,16 +191,23 @@ func (m *module) ListPods(ctx context.Context, orgID valuer.UUID, req *inframoni
resp.Type = inframonitoringtypes.ResponseTypeGroupedList
}
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, podsTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, podsTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.PodRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.PodRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getPodsTableMetadata(ctx, req)
if err != nil {
@@ -261,16 +276,23 @@ func (m *module) ListNodes(ctx context.Context, orgID valuer.UUID, req *inframon
resp.Type = inframonitoringtypes.ResponseTypeGroupedList
}
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, nodesTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, nodesTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.NodeRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.NodeRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getNodesTableMetadata(ctx, req)
if err != nil {
@@ -344,16 +366,23 @@ func (m *module) ListNamespaces(ctx context.Context, orgID valuer.UUID, req *inf
resp.Type = inframonitoringtypes.ResponseTypeGroupedList
}
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, namespacesTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, namespacesTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.NamespaceRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.NamespaceRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getNamespacesTableMetadata(ctx, req)
if err != nil {
@@ -421,16 +450,23 @@ func (m *module) ListClusters(ctx context.Context, orgID valuer.UUID, req *infra
resp.Type = inframonitoringtypes.ResponseTypeGroupedList
}
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, clustersTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, clustersTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.ClusterRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.ClusterRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getClustersTableMetadata(ctx, req)
if err != nil {
@@ -511,16 +547,23 @@ func (m *module) ListVolumes(ctx context.Context, orgID valuer.UUID, req *infram
}
req.Filter.Expression = mergeFilterExpressions(volumesBaseFilterExpr, req.Filter.Expression)
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, volumesTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, volumesTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.VolumeRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.VolumeRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getVolumesTableMetadata(ctx, req)
if err != nil {
@@ -589,16 +632,23 @@ func (m *module) ListDeployments(ctx context.Context, orgID valuer.UUID, req *in
}
req.Filter.Expression = mergeFilterExpressions(deploymentsBaseFilterExpr, req.Filter.Expression)
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, deploymentsTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, deploymentsTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.DeploymentRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.DeploymentRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getDeploymentsTableMetadata(ctx, req)
if err != nil {
@@ -672,16 +722,23 @@ func (m *module) ListStatefulSets(ctx context.Context, orgID valuer.UUID, req *i
}
req.Filter.Expression = mergeFilterExpressions(statefulSetsBaseFilterExpr, req.Filter.Expression)
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, statefulSetsTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, statefulSetsTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.StatefulSetRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.StatefulSetRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getStatefulSetsTableMetadata(ctx, req)
if err != nil {
@@ -757,16 +814,23 @@ func (m *module) ListJobs(ctx context.Context, orgID valuer.UUID, req *inframoni
}
req.Filter.Expression = mergeFilterExpressions(jobsBaseFilterExpr, req.Filter.Expression)
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, jobsTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, jobsTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.JobRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.JobRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getJobsTableMetadata(ctx, req)
if err != nil {
@@ -842,16 +906,23 @@ func (m *module) ListDaemonSets(ctx context.Context, orgID valuer.UUID, req *inf
}
req.Filter.Expression = mergeFilterExpressions(daemonSetsBaseFilterExpr, req.Filter.Expression)
minFirstReportedUnixMilli, err := m.getEarliestMetricTime(ctx, daemonSetsTableMetricNamesList)
missingMetrics, minFirstReportedUnixMilli, err := m.getMetricsExistenceAndEarliestTime(ctx, daemonSetsTableMetricNamesList)
if err != nil {
return nil, err
}
if len(missingMetrics) > 0 {
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: missingMetrics}
resp.Records = []inframonitoringtypes.DaemonSetRecord{}
resp.Total = 0
return resp, nil
}
if req.End < int64(minFirstReportedUnixMilli) {
resp.EndTimeBeforeRetention = true
resp.Records = []inframonitoringtypes.DaemonSetRecord{}
resp.Total = 0
return resp, nil
}
resp.RequiredMetricsCheck = inframonitoringtypes.RequiredMetricsCheck{MissingMetrics: []string{}}
metadataMap, err := m.getDaemonSetsTableMetadata(ctx, req)
if err != nil {

View File

@@ -38,7 +38,7 @@ func newTestDashboardV2(t *testing.T, orgID valuer.UUID, source Source) *Dashboa
FillMode: FillModeSolid,
SpanGaps: SpanGaps{FillLessThan: valuer.MustParseTextDuration("60s")},
},
Legend: Legend{Position: LegendPositionBottom},
Legend: Legend{Position: LegendPositionBottom, Mode: LegendModeList},
},
},
Queries: []Query{

View File

@@ -48,7 +48,42 @@ func (d *DashboardSpec) UnmarshalJSON(data []byte) error {
// ══════════════════════════════════════════════
func (d *DashboardSpec) Validate() error {
if err := d.validateVariables(); err != nil {
return err
}
if err := d.validatePanels(); err != nil {
return err
}
return d.validateLayouts()
}
// validateVariables rejects two variables sharing the same name.
func (d *DashboardSpec) validateVariables() error {
seen := make(map[string]struct{}, len(d.Variables))
for i, v := range d.Variables {
var name string
switch s := v.Spec.(type) {
case *ListVariableSpec:
name = s.Name
case *TextVariableSpec:
name = s.Name
default:
// Unreachable via UnmarshalJSON; reaching here means a Go caller broke the Kind/Spec pairing.
return errors.NewInternalf(errors.CodeInternal, "spec.variables[%d].spec: unexpected variable spec type %T", i, v.Spec)
}
if _, dup := seen[name]; dup {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "spec.variables[%d]: duplicate variable name %q", i, name)
}
seen[name] = struct{}{}
}
return nil
}
func (d *DashboardSpec) validatePanels() error {
for key, panel := range d.Panels {
if err := common.ValidateID(key); err != nil {
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "spec.panels: %s", err.Error())
}
if panel == nil {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "spec.panels.%s: panel must not be null", key)
}
@@ -69,6 +104,13 @@ func (d *DashboardSpec) Validate() error {
}
func validateQueryAllowedForPanel(plugin QueryPlugin, allowed []QueryPluginKind, panelKind PanelPluginKind, path string) error {
compositeSubQueryTypeToPluginKind := map[qb.QueryType]QueryPluginKind{
qb.QueryTypeBuilder: QueryKindBuilder,
qb.QueryTypeFormula: QueryKindFormula,
qb.QueryTypeTraceOperator: QueryKindTraceOperator,
qb.QueryTypePromQL: QueryKindPromQL,
qb.QueryTypeClickHouseSQL: QueryKindClickHouseSQL,
}
if !slices.Contains(allowed, plugin.Kind) {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput,
"%s: query kind %q is not supported by panel kind %q", path, plugin.Kind, panelKind)
@@ -96,12 +138,35 @@ func validateQueryAllowedForPanel(plugin QueryPlugin, allowed []QueryPluginKind,
return nil
}
var (
compositeSubQueryTypeToPluginKind = map[qb.QueryType]QueryPluginKind{
qb.QueryTypeBuilder: QueryKindBuilder,
qb.QueryTypeFormula: QueryKindFormula,
qb.QueryTypeTraceOperator: QueryKindTraceOperator,
qb.QueryTypePromQL: QueryKindPromQL,
qb.QueryTypeClickHouseSQL: QueryKindClickHouseSQL,
// validateLayouts rejects grid items referencing a panel that doesn't exist.
func (d *DashboardSpec) validateLayouts() error {
for li, layout := range d.Layouts {
grid, ok := layout.Spec.(*dashboard.GridLayoutSpec)
if !ok {
// Unreachable via UnmarshalJSON; reaching here means a Go caller broke the Kind/Spec pairing.
return errors.NewInternalf(errors.CodeInternal, "spec.layouts[%d].spec: unexpected layout spec type %T", li, layout.Spec)
}
for ii, item := range grid.Items {
path := fmt.Sprintf("spec.layouts[%d].spec.items[%d].content", li, ii)
if item.Content == nil {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "%s: content reference is required", path)
}
key, err := panelKeyFromRef(item.Content.Path, item.Content.Ref, path)
if err != nil {
return err
}
if _, ok := d.Panels[key]; !ok {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "%s: references unknown panel %q", path, key)
}
}
}
)
return nil
}
// panelKeyFromRef extracts <key> from a "#/spec/panels/<key>" content ref.
func panelKeyFromRef(refPath []string, ref string, path string) (string, error) {
if len(refPath) != 3 || refPath[0] != "spec" || refPath[1] != "panels" {
return "", errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "%s: %q must reference a panel as \"#/spec/panels/<key>\"", path, ref)
}
return refPath[2], nil
}

View File

@@ -73,7 +73,7 @@ func (p PatchableDashboardV2) Apply(existing *DashboardV2) (*UpdatableDashboardV
}
patched, err := p.patch.ApplyWithOptions(raw, &jsonpatch.ApplyOptions{AllowMissingPathOnRemove: true, EnsurePathExistsOnAdd: true})
if err != nil {
return nil, errors.Wrap(err, errors.TypeInvalidInput, ErrCodeDashboardInvalidPatch, "JSON Patch could not be applied to the target dashboard")
return nil, errors.Wrap(err, errors.TypeInvalidInput, ErrCodeDashboardInvalidPatch, "JSON Patch could not be applied to the target dashboard").WithAdditional(err.Error())
}
out := &UpdatableDashboardV2{}
if err := json.Unmarshal(patched, out); err != nil {

View File

@@ -405,6 +405,7 @@ func TestPatchableDashboardV2_Apply(t *testing.T) {
out, err := decode(t, `[
{"op": "replace", "path": "/spec/display/name", "value": "Multi-step"},
{"op": "remove", "path": "/spec/panels/p2"},
{"op": "remove", "path": "/spec/layouts/0/spec/items/1"},
{"op": "add", "path": "/tags/-", "value": {"key": "env", "value": "staging"}}
]`).Apply(base)
require.NoError(t, err)

View File

@@ -112,6 +112,174 @@ func TestValidateOnlyVariables(t *testing.T) {
require.NoError(t, err, "expected valid")
}
func TestInvalidateDuplicateVariableNames(t *testing.T) {
data := []byte(`{
"variables": [
{
"kind": "TextVariable",
"spec": {"name": "env", "value": "prod"}
},
{
"kind": "ListVariable",
"spec": {
"name": "env",
"allowAllValue": false,
"allowMultiple": false,
"plugin": {
"kind": "signoz/DynamicVariable",
"spec": {"name": "service.name", "signal": "metrics"}
}
}
}
],
"layouts": []
}`)
_, err := unmarshalDashboard(data)
require.Error(t, err, "expected error for duplicate variable name")
require.Contains(t, err.Error(), `duplicate variable name "env"`)
}
func TestInvalidateVariableNameWithInvalidChars(t *testing.T) {
listVarWithName := func(name string) []byte {
return []byte(`{
"variables": [
{
"kind": "ListVariable",
"spec": {
"name": "` + name + `",
"allowAllValue": false,
"allowMultiple": false,
"plugin": {
"kind": "signoz/DynamicVariable",
"spec": {"name": "service.name", "signal": "metrics"}
}
}
}
],
"layouts": []
}`)
}
for _, name := range []string{"my var", "cost$", "bad!", "a/b"} {
t.Run(name, func(t *testing.T) {
_, err := unmarshalDashboard(listVarWithName(name))
require.Error(t, err, "expected error for invalid variable name %q", name)
require.Contains(t, err.Error(), "is not a correct name")
})
}
for _, name := range []string{"service", "my_var", "MY_VAR", "MixedCase9", "with-hyphen", "with.dot"} {
t.Run(name, func(t *testing.T) {
_, err := unmarshalDashboard(listVarWithName(name))
require.NoError(t, err, "expected valid variable name %q", name)
})
}
t.Run("digits only", func(t *testing.T) {
_, err := unmarshalDashboard(listVarWithName("123"))
require.Error(t, err)
require.Contains(t, err.Error(), "cannot contain only digits")
})
}
func TestInvalidatePanelKey(t *testing.T) {
data := []byte(`{
"panels": {
"bad key!": {
"kind": "Panel",
"spec": {
"plugin": {"kind": "signoz/TablePanel", "spec": {}},
"queries": [{
"kind": "time_series",
"spec": {"plugin": {"kind": "signoz/BuilderQuery", "spec": {
"name": "A", "signal": "logs", "aggregations": [{"expression": "count()"}]
}}}
}]
}
}
},
"layouts": []
}`)
_, err := unmarshalDashboard(data)
require.Error(t, err, "expected error for invalid panel key")
require.Contains(t, err.Error(), "is not a correct name")
}
func TestInvalidateListVariableCrossFields(t *testing.T) {
listVar := func(specFields string) []byte {
return []byte(`{
"variables": [
{
"kind": "ListVariable",
"spec": {
"name": "service",
` + specFields + `
"plugin": {
"kind": "signoz/DynamicVariable",
"spec": {"name": "service.name", "signal": "metrics"}
}
}
}
],
"layouts": []
}`)
}
t.Run("customAllValue without allowAllValue", func(t *testing.T) {
_, err := unmarshalDashboard(listVar(`"allowAllValue": false, "allowMultiple": false, "customAllValue": "*",`))
require.Error(t, err)
require.Contains(t, err.Error(), "customAllValue cannot be set")
})
t.Run("list defaultValue without allowMultiple", func(t *testing.T) {
_, err := unmarshalDashboard(listVar(`"allowAllValue": false, "allowMultiple": false, "defaultValue": ["a", "b"],`))
require.Error(t, err)
require.Contains(t, err.Error(), "allowMultiple")
})
t.Run("single-element list default without allowMultiple", func(t *testing.T) {
_, err := unmarshalDashboard(listVar(`"allowAllValue": false, "allowMultiple": false, "defaultValue": ["only"],`))
require.Error(t, err)
require.Contains(t, err.Error(), "allowMultiple")
})
t.Run("valid sort is accepted", func(t *testing.T) {
_, err := unmarshalDashboard(listVar(`"sort": "alphabetical-asc",`))
require.NoError(t, err)
})
t.Run("unknown sort is rejected", func(t *testing.T) {
_, err := unmarshalDashboard(listVar(`"sort": "bogus",`))
require.Error(t, err)
require.Contains(t, err.Error(), "unknown sort")
})
}
func TestInvalidateEmptyVariableName(t *testing.T) {
cases := map[string][]byte{
"text variable": []byte(`{
"variables": [{"kind": "TextVariable", "spec": {"name": "", "value": "x"}}],
"layouts": []
}`),
"list variable": []byte(`{
"variables": [{
"kind": "ListVariable",
"spec": {
"name": "",
"allowAllValue": false,
"allowMultiple": false,
"plugin": {"kind": "signoz/DynamicVariable", "spec": {"name": "service.name", "signal": "metrics"}}
}
}],
"layouts": []
}`),
}
for name, data := range cases {
t.Run(name, func(t *testing.T) {
_, err := unmarshalDashboard(data)
require.Error(t, err, "expected error for empty variable name")
require.Contains(t, err.Error(), "name cannot be empty")
})
}
}
func TestInvalidateUnknownPluginKind(t *testing.T) {
tests := []struct {
name string
@@ -270,6 +438,65 @@ func TestInvalidateOneInvalidPanel(t *testing.T) {
require.Contains(t, err.Error(), "FakePanel", "error should mention FakePanel")
}
func TestInvalidateLayoutPanelReferences(t *testing.T) {
validPanels := `"panels": {
"p1": {
"kind": "Panel",
"spec": {
"plugin": {"kind": "signoz/TablePanel", "spec": {}},
"queries": [{
"kind": "time_series",
"spec": {"plugin": {"kind": "signoz/BuilderQuery", "spec": {
"name": "A", "signal": "logs", "aggregations": [{"expression": "count()"}]
}}}
}]
}
}
}`
layout := func(items string) []byte {
return []byte(`{` + validPanels + `, "layouts": [{"kind": "Grid", "spec": {"items": [` + items + `]}}]}`)
}
tests := []struct {
name string
data []byte
wantContain string
}{
{
name: "reference to unknown panel",
data: layout(`{"x": 0, "y": 0, "width": 6, "height": 6, "content": {"$ref": "#/spec/panels/ghost"}}`),
wantContain: `references unknown panel "ghost"`,
},
{
name: "reference not pointing at a panel",
data: layout(`{"x": 0, "y": 0, "width": 6, "height": 6, "content": {"$ref": "#/spec/variables/p1"}}`),
wantContain: "must reference a panel",
},
{
name: "reference missing spec prefix",
data: layout(`{"x": 0, "y": 0, "width": 6, "height": 6, "content": {"$ref": "#/panels/p1"}}`),
wantContain: "must reference a panel",
},
{
name: "valid reference",
data: layout(`{"x": 0, "y": 0, "width": 6, "height": 6, "content": {"$ref": "#/spec/panels/p1"}}`),
wantContain: "",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
_, err := unmarshalDashboard(tt.data)
if tt.wantContain == "" {
require.NoError(t, err)
return
}
require.Error(t, err)
require.Contains(t, err.Error(), tt.wantContain)
})
}
}
func TestRejectUnknownFieldsInPluginSpec(t *testing.T) {
tests := []struct {
name string
@@ -569,6 +796,24 @@ func TestInvalidateBadPanelSpecValues(t *testing.T) {
}`,
wantContain: "legend position",
},
{
name: "bad legend mode",
data: `{
"panels": {
"p1": {
"kind": "Panel",
"spec": {
"plugin": {
"kind": "signoz/BarChartPanel",
"spec": {"legend": {"mode": "grid"}}
}
}
}
},
"layouts": []
}`,
wantContain: "legend mode",
},
{
name: "bad threshold format",
data: `{
@@ -634,6 +879,39 @@ func TestInvalidateBadPanelSpecValues(t *testing.T) {
}
}
// Label on ThresholdWithLabel is optional — the backend never reads it, so a
// threshold with an omitted or empty label must validate cleanly.
func TestThresholdLabelOptional(t *testing.T) {
for _, tt := range []struct {
name string
threshold string
}{
{name: "label omitted", threshold: `{"value": 100, "color": "Red"}`},
{name: "label empty", threshold: `{"value": 100, "color": "Red", "label": ""}`},
} {
t.Run(tt.name, func(t *testing.T) {
data := []byte(`{
"panels": {
"p1": {
"kind": "Panel",
"spec": {
"plugin": {"kind": "signoz/TimeSeriesPanel", "spec": {"thresholds": [` + tt.threshold + `]}},
"queries": [{"kind": "time_series", "spec": {"plugin": {"kind": "signoz/PromQLQuery", "spec": {"name": "A", "query": "up"}}}}]
}
}
},
"layouts": []
}`)
d, err := unmarshalDashboard(data)
require.NoError(t, err, "threshold without a label should validate")
spec := d.Panels["p1"].Spec.Plugin.Spec.(*TimeSeriesPanelSpec)
require.Len(t, spec.Thresholds, 1)
require.Empty(t, spec.Thresholds[0].Label, "label should remain empty")
})
}
}
func TestInvalidatePanelWithoutQueries(t *testing.T) {
data := []byte(`{
"panels": {
@@ -749,11 +1027,6 @@ func TestValidateRequiredFields(t *testing.T) {
data: wrapPanel("signoz/TimeSeriesPanel", `{"thresholds": [{"value": 100, "label": "high", "color": ""}]}`),
wantContain: "Color",
},
{
name: "ThresholdWithLabel missing label",
data: wrapPanel("signoz/TimeSeriesPanel", `{"thresholds": [{"value": 100, "color": "Red", "label": ""}]}`),
wantContain: "Label",
},
{
name: "ComparisonThreshold missing value",
data: wrapPanel("signoz/NumberPanel", `{"thresholds": [{"operator": "above", "format": "text", "color": "Red"}]}`),
@@ -811,10 +1084,11 @@ func TestTimeSeriesPanelDefaults(t *testing.T) {
require.Equal(t, "2", spec.Formatting.DecimalPrecision.ValueOrDefault(), "expected DecimalPrecision default 2")
require.Equal(t, "spline", spec.ChartAppearance.LineInterpolation.ValueOrDefault(), "expected LineInterpolation default spline")
require.Equal(t, "solid", spec.ChartAppearance.LineStyle.ValueOrDefault(), "expected LineStyle default solid")
require.Equal(t, "solid", spec.ChartAppearance.FillMode.ValueOrDefault(), "expected FillMode default solid")
require.Equal(t, "none", spec.ChartAppearance.FillMode.ValueOrDefault(), "expected FillMode default none")
require.False(t, spec.ChartAppearance.SpanGaps.FillOnlyBelow, "expected SpanGaps.FillOnlyBelow default false")
require.Equal(t, "global_time", spec.Visualization.TimePreference.ValueOrDefault(), "expected TimePreference default global_time")
require.Equal(t, "bottom", spec.Legend.Position.ValueOrDefault(), "expected LegendPosition default bottom")
require.Equal(t, "list", spec.Legend.Mode.ValueOrDefault(), "expected LegendMode default list")
// Re-marshal the full dashboard (what we'd store in DB / return in API response)
// and verify the output contains the default values.
@@ -825,9 +1099,10 @@ func TestTimeSeriesPanelDefaults(t *testing.T) {
"decimalPrecision": `"2"`,
"lineInterpolation": `"spline"`,
"lineStyle": `"solid"`,
"fillMode": `"solid"`,
"fillMode": `"none"`,
"timePreference": `"global_time"`,
"position": `"bottom"`,
"mode": `"list"`,
} {
assert.Contains(t, outputStr, `"`+field+`":`+want, "expected stored/response JSON to contain %s:%s", field, want)
}
@@ -930,7 +1205,7 @@ func TestStorageRoundTrip(t *testing.T) {
assert.Equal(t, "2", tsSpec.Formatting.DecimalPrecision.ValueOrDefault())
assert.Equal(t, "spline", tsSpec.ChartAppearance.LineInterpolation.ValueOrDefault())
assert.Equal(t, "solid", tsSpec.ChartAppearance.LineStyle.ValueOrDefault())
assert.Equal(t, "solid", tsSpec.ChartAppearance.FillMode.ValueOrDefault())
assert.Equal(t, "none", tsSpec.ChartAppearance.FillMode.ValueOrDefault())
assert.Equal(t, "global_time", tsSpec.Visualization.TimePreference.ValueOrDefault())
assert.Equal(t, "bottom", tsSpec.Legend.Position.ValueOrDefault())
numSpec := d.Panels["p2"].Spec.Plugin.Spec.(*NumberPanelSpec)
@@ -950,7 +1225,7 @@ func TestStorageRoundTrip(t *testing.T) {
assert.Equal(t, "2", tsLoaded.Formatting.DecimalPrecision.ValueOrDefault(), "after load")
assert.Equal(t, "spline", tsLoaded.ChartAppearance.LineInterpolation.ValueOrDefault(), "after load")
assert.Equal(t, "solid", tsLoaded.ChartAppearance.LineStyle.ValueOrDefault(), "after load")
assert.Equal(t, "solid", tsLoaded.ChartAppearance.FillMode.ValueOrDefault(), "after load")
assert.Equal(t, "none", tsLoaded.ChartAppearance.FillMode.ValueOrDefault(), "after load")
assert.Equal(t, "global_time", tsLoaded.Visualization.TimePreference.ValueOrDefault(), "after load")
assert.Equal(t, "bottom", tsLoaded.Legend.Position.ValueOrDefault(), "after load")
numLoaded := loaded.Panels["p2"].Spec.Plugin.Spec.(*NumberPanelSpec)
@@ -966,7 +1241,7 @@ func TestStorageRoundTrip(t *testing.T) {
"decimalPrecision": `"2"`,
"lineInterpolation": `"spline"`,
"lineStyle": `"solid"`,
"fillMode": `"solid"`,
"fillMode": `"none"`,
"timePreference": `"global_time"`,
"position": `"bottom"`,
"format": `"text"`,

View File

@@ -30,6 +30,7 @@ func TestDashboardSpecMatchesPerses(t *testing.T) {
{"DatasourceSpec", typeOf[DatasourceSpec](), typeOf[datasource.Spec]()},
{"Variable", typeOf[Variable](), typeOf[dashboard.Variable]()},
{"ListVariableSpec", typeOf[ListVariableSpec](), typeOf[dashboard.ListVariableSpec]()},
{"TextVariableSpec", typeOf[TextVariableSpec](), typeOf[dashboard.TextVariableSpec]()},
{"Layout", typeOf[Layout](), typeOf[dashboard.Layout]()},
}

View File

@@ -51,7 +51,7 @@ func (p *PanelPlugin) UnmarshalJSON(data []byte) error {
return err
}
p.Kind = PanelPluginKind(kind)
p.Spec = spec
p.Spec = *spec
return nil
}
@@ -110,7 +110,7 @@ func (p *QueryPlugin) UnmarshalJSON(data []byte) error {
return err
}
p.Kind = QueryPluginKind(kind)
p.Spec = spec
p.Spec = *spec
return nil
}
@@ -165,7 +165,7 @@ func (p *VariablePlugin) UnmarshalJSON(data []byte) error {
return err
}
p.Kind = VariablePluginKind(kind)
p.Spec = spec
p.Spec = *spec
return nil
}
@@ -215,7 +215,7 @@ func (p *DatasourcePlugin) UnmarshalJSON(data []byte) error {
return err
}
p.Kind = DatasourcePluginKind(kind)
p.Spec = spec
p.Spec = *spec
return nil
}
@@ -297,8 +297,7 @@ func extractKindAndSpec(data []byte) (string, []byte, error) {
return head.Kind, head.Spec, nil
}
// decodeSpec strict-decodes a spec JSON into target and runs struct-tag validation (go-playground/validator).
func decodeSpec(specJSON []byte, target any, kind string) (any, error) {
func decodeSpec[T any](specJSON []byte, target T, kind string) (*T, error) {
if len(specJSON) == 0 {
return nil, errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "kind %q: spec is required", kind)
}
@@ -310,7 +309,12 @@ func decodeSpec(specJSON []byte, target any, kind string) (any, error) {
if err := validator.New().Struct(target); err != nil {
return nil, errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "kind %q: spec failed validation", kind)
}
return target, nil
if v, ok := any(target).(interface{ validate() error }); ok {
if err := v.validate(); err != nil {
return nil, errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "kind %q: %s", kind, err.Error())
}
}
return &target, nil
}
// signozDiscriminatorKey is the extension key that signoz.attachDiscriminators

View File

@@ -4,9 +4,11 @@ import (
"encoding/json"
"maps"
"slices"
"strconv"
"github.com/SigNoz/signoz/pkg/errors"
qb "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/valuer"
"github.com/perses/spec/go/common"
"github.com/perses/spec/go/dashboard"
"github.com/perses/spec/go/dashboard/variable"
@@ -84,7 +86,7 @@ type QuerySpec struct {
// ══════════════════════════════════════════════
// Variable is the list/text sum type. Spec is set to *ListVariableSpec or
// *dashboard.TextVariableSpec by UnmarshalJSON based on Kind. The schema is a
// *TextVariableSpec by UnmarshalJSON based on Kind. The schema is a
// discriminated oneOf (see JSONSchemaOneOf).
type Variable struct {
Kind variable.Kind `json:"kind" required:"true"`
@@ -94,7 +96,7 @@ type Variable struct {
func (Variable) PrepareJSONSchema(s *jsonschema.Schema) error {
return markDiscriminator(s, "kind", map[string]string{
string(variable.KindList): schemaRef("DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpec"),
string(variable.KindText): schemaRef("DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpec"),
string(variable.KindText): schemaRef("DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesTextVariableSpec"),
})
}
@@ -110,14 +112,14 @@ func (v *Variable) UnmarshalJSON(data []byte) error {
return err
}
v.Kind = variable.KindList
v.Spec = spec
v.Spec = *spec
case string(variable.KindText):
spec, err := decodeSpec(specJSON, new(dashboard.TextVariableSpec), kind)
spec, err := decodeSpec(specJSON, new(TextVariableSpec), kind)
if err != nil {
return err
}
v.Kind = variable.KindText
v.Spec = spec
v.Spec = *spec
default:
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "unknown variable kind %q; allowed values: %s", kind, allowedValuesForKind([]variable.Kind{variable.KindList, variable.KindText}))
}
@@ -127,7 +129,7 @@ func (v *Variable) UnmarshalJSON(data []byte) error {
func (Variable) JSONSchemaOneOf() []any {
return []any{
VariableEnvelope[ListVariableSpec]{Kind: string(variable.KindList)},
VariableEnvelope[dashboard.TextVariableSpec]{Kind: string(variable.KindText)},
VariableEnvelope[TextVariableSpec]{Kind: string(variable.KindText)},
}
}
@@ -143,15 +145,106 @@ func (v VariableEnvelope[S]) PrepareJSONSchema(s *jsonschema.Schema) error {
// ListVariableSpec mirrors dashboard.ListVariableSpec (variable.ListSpec
// fields + Name) but with a typed VariablePlugin replacing common.Plugin.
type ListVariableSpec struct {
Display Display `json:"display" required:"true"`
Display *Display `json:"display,omitempty"`
DefaultValue *variable.DefaultValue `json:"defaultValue,omitempty"`
AllowAllValue bool `json:"allowAllValue"`
AllowMultiple bool `json:"allowMultiple"`
CustomAllValue string `json:"customAllValue,omitempty"`
CapturingRegexp string `json:"capturingRegexp,omitempty"`
Sort *variable.Sort `json:"sort,omitempty"`
Sort ListVariableSpecSort `json:"sort,omitzero"`
Plugin VariablePlugin `json:"plugin"`
Name string `json:"name"`
Name string `json:"name" required:"true" minLength:"1"`
}
// validate mirrors perses ListVariableSpec validation (plus the digits-only name
// check perses only applies to text variables); run by decodeSpec on unmarshal.
func (s *ListVariableSpec) validate() error {
if err := common.ValidateID(s.Name); err != nil {
return err
}
if _, err := strconv.Atoi(s.Name); err == nil {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "variable name cannot contain only digits")
}
if s.CustomAllValue != "" && !s.AllowAllValue {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "customAllValue cannot be set if allowAllValue is not set to true")
}
if s.DefaultValue != nil && len(s.DefaultValue.SliceValues) > 0 && !s.AllowMultiple {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "defaultValue cannot be a list if allowMultiple is not set to true")
}
return nil
}
// ListVariableSpecSort is the value-list sort method, mirrored from Perses as a
// stable enum so the allowed values surface in the generated OpenAPI schema.
type ListVariableSpecSort struct{ valuer.String }
var (
SortNone = ListVariableSpecSort{valuer.NewString("none")}
SortAlphabeticalAsc = ListVariableSpecSort{valuer.NewString("alphabetical-asc")}
SortAlphabeticalDesc = ListVariableSpecSort{valuer.NewString("alphabetical-desc")}
SortNumericalAsc = ListVariableSpecSort{valuer.NewString("numerical-asc")}
SortNumericalDesc = ListVariableSpecSort{valuer.NewString("numerical-desc")}
SortAlphabeticalCaseInsensitiveAsc = ListVariableSpecSort{valuer.NewString("alphabetical-ci-asc")}
SortAlphabeticalCaseInsensitiveDesc = ListVariableSpecSort{valuer.NewString("alphabetical-ci-desc")}
)
func (ListVariableSpecSort) Enum() []any {
return []any{
SortNone,
SortAlphabeticalAsc,
SortAlphabeticalDesc,
SortNumericalAsc,
SortNumericalDesc,
SortAlphabeticalCaseInsensitiveAsc,
SortAlphabeticalCaseInsensitiveDesc,
}
}
func (s ListVariableSpecSort) IsValid() bool {
return slices.ContainsFunc(s.Enum(), func(v any) bool { return v == s })
}
// UnmarshalJSON validates against the enum on decode (valuer.String alone
// accepts any string). An empty value is allowed and means "no sort", matching
// Perses.
func (s *ListVariableSpecSort) UnmarshalJSON(data []byte) error {
var v string
if err := json.Unmarshal(data, &v); err != nil {
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid sort: must be a string, one of `none`, `alphabetical-asc`, `alphabetical-desc`, `numerical-asc`, `numerical-desc`, `alphabetical-ci-asc`, or `alphabetical-ci-desc`")
}
if v == "" {
*s = ListVariableSpecSort{}
return nil
}
sort := ListVariableSpecSort{valuer.NewString(v)}
if !sort.IsValid() {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "unknown sort %q: must be `none`, `alphabetical-asc`, `alphabetical-desc`, `numerical-asc`, `numerical-desc`, `alphabetical-ci-asc`, or `alphabetical-ci-desc`", v)
}
*s = sort
return nil
}
// TextVariableSpec replicates dashboard.TextVariableSpec so name can carry the
// required/non-empty schema tags perses leaves off.
type TextVariableSpec struct {
Display *Display `json:"display,omitempty"`
Value string `json:"value"`
Constant bool `json:"constant,omitempty"`
Name string `json:"name" required:"true" minLength:"1"`
}
// validate mirrors perses TextVariableSpec validation; run by decodeSpec on unmarshal.
func (s *TextVariableSpec) validate() error {
if err := common.ValidateID(s.Name); err != nil {
return err
}
if _, err := strconv.Atoi(s.Name); err == nil {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "variable name cannot contain only digits")
}
if s.Value == "" && s.Constant {
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "value for a constant text variable cannot be empty")
}
return nil
}
// ══════════════════════════════════════════════
@@ -194,7 +287,7 @@ func (l *Layout) UnmarshalJSON(data []byte) error {
return err
}
l.Kind = dashboard.LayoutKind(kind)
l.Spec = spec
l.Spec = *spec
return nil
}

View File

@@ -241,6 +241,7 @@ type TableFormatting struct {
type Legend struct {
Position LegendPosition `json:"position"`
Mode LegendMode `json:"mode"`
CustomColors map[string]string `json:"customColors"`
}
@@ -248,7 +249,7 @@ type ThresholdWithLabel struct {
Value float64 `json:"value" validate:"required" required:"true"`
Unit string `json:"unit"`
Color string `json:"color" validate:"required" required:"true"`
Label string `json:"label" validate:"required" required:"true"`
Label string `json:"label"`
}
type ComparisonThreshold struct {
@@ -358,6 +359,47 @@ func (l *LegendPosition) UnmarshalJSON(data []byte) error {
}
}
type LegendMode struct{ valuer.String }
var (
LegendModeList = LegendMode{valuer.NewString("list")} // default
LegendModeTable = LegendMode{valuer.NewString("table")}
)
func (LegendMode) Enum() []any {
return []any{LegendModeList} // others are not supported in UI yet
}
func (m LegendMode) ValueOrDefault() string {
if m.IsZero() {
return LegendModeList.StringValue()
}
return m.StringValue()
}
func (m LegendMode) MarshalJSON() ([]byte, error) {
return json.Marshal(m.ValueOrDefault())
}
func (m *LegendMode) UnmarshalJSON(data []byte) error {
var v string
if err := json.Unmarshal(data, &v); err != nil {
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid legend mode: must be a string, one of `list` or `table`")
}
if v == "" {
*m = LegendModeList
return nil
}
lm := LegendMode{valuer.NewString(v)}
switch lm {
case LegendModeList, LegendModeTable:
*m = lm
return nil
default:
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "invalid legend mode %q: must be `list` or `table`", v)
}
}
type ThresholdFormat struct{ valuer.String }
var (
@@ -534,9 +576,9 @@ func (ls *LineStyle) UnmarshalJSON(data []byte) error {
type FillMode struct{ valuer.String }
var (
FillModeSolid = FillMode{valuer.NewString("solid")} // default
FillModeSolid = FillMode{valuer.NewString("solid")}
FillModeGradient = FillMode{valuer.NewString("gradient")}
FillModeNone = FillMode{valuer.NewString("none")}
FillModeNone = FillMode{valuer.NewString("none")} // default
)
func (FillMode) Enum() []any {
@@ -545,7 +587,7 @@ func (FillMode) Enum() []any {
func (fm FillMode) ValueOrDefault() string {
if fm.IsZero() {
return FillModeSolid.StringValue()
return FillModeNone.StringValue()
}
return fm.StringValue()
}
@@ -560,7 +602,7 @@ func (fm *FillMode) UnmarshalJSON(data []byte) error {
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid fill mode: must be a string, one of `solid`, `gradient`, or `none`")
}
if v == "" {
*fm = FillModeSolid
*fm = FillModeNone
return nil
}
val := FillMode{valuer.NewString(v)}
@@ -573,12 +615,9 @@ func (fm *FillMode) UnmarshalJSON(data []byte) error {
}
}
// SpanGaps controls whether lines connect across null values.
// When FillOnlyBelow is false (default), all gaps are connected.
// When FillOnlyBelow is true, only gaps smaller than FillLessThan are connected.
type SpanGaps struct {
FillOnlyBelow bool `json:"fillOnlyBelow"`
FillLessThan valuer.TextDuration `json:"fillLessThan"`
FillOnlyBelow bool `json:"fillOnlyBelow" description:"Controls whether lines connect across null values. When false (default), all gaps are connected. When true, only gaps smaller than fillLessThan are connected."`
FillLessThan valuer.TextDuration `json:"fillLessThan" description:"The maximum gap size to connect when fillOnlyBelow is true. Gaps larger than this duration are left disconnected."`
}
type PrecisionOption struct{ valuer.String }

View File

@@ -12,6 +12,7 @@ type Clusters struct {
Type ResponseType `json:"type" required:"true"`
Records []ClusterRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type DaemonSets struct {
Type ResponseType `json:"type" required:"true"`
Records []DaemonSetRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type Deployments struct {
Type ResponseType `json:"type" required:"true"`
Records []DeploymentRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type Hosts struct {
Type ResponseType `json:"type" required:"true"`
Records []HostRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}
@@ -29,6 +30,10 @@ type HostRecord struct {
Meta map[string]string `json:"meta" required:"true"`
}
type RequiredMetricsCheck struct {
MissingMetrics []string `json:"missingMetrics" required:"true"`
}
type PostableHosts struct {
Start int64 `json:"start" required:"true"`
End int64 `json:"end" required:"true"`

View File

@@ -12,6 +12,7 @@ type Jobs struct {
Type ResponseType `json:"type" required:"true"`
Records []JobRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type Namespaces struct {
Type ResponseType `json:"type" required:"true"`
Records []NamespaceRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type Nodes struct {
Type ResponseType `json:"type" required:"true"`
Records []NodeRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type Pods struct {
Type ResponseType `json:"type" required:"true"`
Records []PodRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type StatefulSets struct {
Type ResponseType `json:"type" required:"true"`
Records []StatefulSetRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -12,6 +12,7 @@ type Volumes struct {
Type ResponseType `json:"type" required:"true"`
Records []VolumeRecord `json:"records" required:"true" nullable:"false"`
Total int `json:"total" required:"true"`
RequiredMetricsCheck RequiredMetricsCheck `json:"requiredMetricsCheck" required:"true"`
EndTimeBeforeRetention bool `json:"endTimeBeforeRetention" required:"true"`
Warning *qbtypes.QueryWarnData `json:"warning,omitempty"`
}

View File

@@ -1,36 +0,0 @@
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.cpu.time", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "used", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "used", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "used", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "free", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "free", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5900000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "free", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5800000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "buffered", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "buffered", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "buffered", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "cached", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "cached", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.memory.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "cached", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "kp-h1", "os.type": "linux"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "kp-h1", "os.type": "linux"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1.55, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "kp-h1", "os.type": "linux"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "used", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "used", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 51000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "used", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 52000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "free", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "free", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 49000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "free", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 48000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "reserved", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "reserved", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "kp-h1", "os.type": "linux", "state": "reserved", "deployment.environment": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}

View File

@@ -11,7 +11,7 @@ from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.fs import get_testdata_file_path
from fixtures.metrics import Metrics
from fixtures.querier import compare_values, get_all_warnings
from fixtures.querier import compare_values
ENDPOINT = "/api/v2/infra_monitoring/hosts"
@@ -56,8 +56,7 @@ def test_hosts_accuracy(
# Shape/contract.
assert data["total"] == len(expected["records"])
assert len(data["records"]) == len(expected["records"])
# Full data present -> no warnings surfaced.
assert get_all_warnings(response.json()) == []
assert data["requiredMetricsCheck"]["missingMetrics"] == []
assert data["endTimeBeforeRetention"] is False
assert {r["hostName"] for r in data["records"]} == set(exp_by_host.keys())
@@ -80,109 +79,45 @@ def test_hosts_accuracy(
assert compare_values(record[field], exp[field], 1e-9), f"{record['hostName']}.{field}: got {record[field]}, expected {exp[field]}"
@pytest.mark.parametrize(
"case",
[
# Scenario 1: a required host metric was never ingested. Post-#11754 the
# querier drops it instead of hard-erroring, so the endpoint returns 200
# with the hosts that DO have data; the never-seen metric's column is the
# -1 sentinel and a "has never been received" warning is surfaced.
pytest.param(
{
"dataset": "hosts_missing_metrics.jsonl", # seeds only system.cpu.time
"body": {"filter": {"expression": "host.name = 'miss-h1'"}},
# singular form is "has", plural (>1 missing) is "have" -> match the common stem
"warn_substrings": ["never been received"],
"warn_names": [
"system.memory.usage",
"system.cpu.load_average.15m",
"system.filesystem.usage",
],
# cpu/wait derive from the present system.cpu.time; the rest come
# from never-seen metrics -> -1 sentinel.
"data_fields": ["cpu", "wait"],
"no_data_fields": ["memory", "load15", "diskUsage"],
},
id="metric_never_seen",
),
# Scenario 2: groupBy a key that IS in metadata (seen on some metrics) but
# was never seen together with the host metrics. deployment.environment is
# seeded on system.memory.usage + system.filesystem.usage only, so the key
# resolves (the page-groups IN-filter parses -> no 400) but the cpu.time /
# load_average metrics miss the (metric, key) pair and the statement builder
# falls back to raw labels, surfacing "key `...` not found on metric ...".
# Still 200, no hard error.
pytest.param(
{
"dataset": "hosts_metric_key_pair.jsonl",
"body": {
"filter": {"expression": "host.name = 'kp-h1'"},
"groupBy": [
{
"name": "deployment.environment",
"fieldDataType": "string",
"fieldContext": "resource",
}
],
},
"warn_substrings": ["key `deployment.environment` not found on metric"],
"warn_names": [],
"data_fields": [],
"no_data_fields": [],
},
id="metric_key_pair_not_seen",
),
],
)
def test_hosts_warnings(
def test_hosts_missing_metrics(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token,
insert_metrics,
case: dict,
) -> None:
"""Data-availability gaps surface as non-blocking warnings (200 + data),
not hard errors. Covers never-seen metrics (scenario 1) and never-seen
(metric, key) pairs via groupBy (scenario 2). Field-level expectations are
provisional pending a real run."""
"""Seed only system.cpu.time; assert other 3 required metrics flagged missing."""
now = datetime.now(tz=UTC).replace(microsecond=0)
insert_metrics(
Metrics.load_from_file(
get_testdata_file_path(f"inframonitoring/{case['dataset']}"),
get_testdata_file_path("inframonitoring/hosts_missing_metrics.jsonl"),
base_time=now - timedelta(minutes=4),
)
)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
body: dict = {
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
"end": int(now.timestamp() * 1000),
"limit": 50,
}
body.update(case["body"])
response = requests.post(
signoz.self.host_configs["8080"].get(ENDPOINT),
headers={"authorization": f"Bearer {token}"},
json=body,
json={
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
"end": int(now.timestamp() * 1000),
"limit": 50,
},
timeout=5,
)
assert response.status_code == HTTPStatus.OK, response.text
assert response.status_code == HTTPStatus.OK
data = response.json()["data"]
warnings = get_all_warnings(response.json())
for substr in case["warn_substrings"]:
assert any(substr in w["message"] for w in warnings), f"{substr!r} not surfaced: {warnings!r}"
for name in case["warn_names"]:
assert any(name in w["message"] for w in warnings), f"{name!r} not surfaced: {warnings!r}"
assert len(data["records"]) >= 1, f"expected at least one record: {data!r}"
if case["data_fields"] or case["no_data_fields"]:
record = data["records"][0]
for field in case["data_fields"]:
assert record[field] != -1, f"expected {field} populated, got {record[field]}"
for field in case["no_data_fields"]:
assert record[field] == -1, f"expected {field} == -1 sentinel, got {record[field]}"
assert set(data["requiredMetricsCheck"]["missingMetrics"]) == {
"system.memory.usage",
"system.cpu.load_average.15m",
"system.filesystem.usage",
}
# Endpoint short-circuits when any required metric is missing:
# records is empty and total=0 regardless of which hosts have partial data.
# See pkg/modules/inframonitoring/implinframonitoring/module.go:84-89.
assert data["records"] == []
assert data["total"] == 0
@pytest.mark.parametrize(