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# Feasibility Analysis: Adopting Perses.dev Specification for SigNoz Dashboards
## Executive Summary
SigNoz's dashboard JSON has been a free-form `map[string]interface{}` with no schema enforcement. This document evaluates adopting [Perses.dev](https://perses.dev/) (a CNCF Sandbox project) as a structured dashboard specification. The conclusion is that **wholesale adoption is not recommended**, but several Perses design patterns should be borrowed into a SigNoz-native v6 dashboard schema.
---
## 1. Current State: SigNoz Dashboard JSON
### 1.1 Structure Overview
The dashboard is stored as `StorableDashboardData = map[string]interface{}` in Go (see `pkg/types/dashboardtypes/dashboard.go`). Top-level fields:
| Field | Type | Description |
|-------|------|-------------|
| `title` | `string` | Dashboard display name |
| `description` | `string` | Dashboard description text |
| `tags` | `string[]` | Categorization tags (e.g., `["redis", "database"]`) |
| `image` | `string` | Base64 or URL-encoded SVG for dashboard icon/thumbnail |
| `version` | `string` | Schema version: `"v4"` or `"v5"` |
| `layout` | `Layout[]` | React-grid-layout positioning for each widget |
| `panelMap` | `Record<string, {widgets: Layout[], collapsed: boolean}>` | Groups panels under row widgets for collapsible sections |
| `widgets` | `Widget[]` | Array of panel/widget definitions |
| `variables` | `Record<string, IDashboardVariable>` | Dashboard variable definitions |
| `uploadedGrafana` | `boolean` | Flag indicating if imported from Grafana |
### 1.2 Panel/Widget Types
| Panel Type | Constant | API Request Type |
|-----------|----------|-----------------|
| Time Series | `graph` | `time_series` |
| Bar Chart | `bar` | `time_series` |
| Table | `table` | `scalar` |
| Pie Chart | `pie` | `scalar` |
| Single Value | `value` | `scalar` |
| List/Logs | `list` | `raw` |
| Trace | `trace` | `trace` |
| Histogram | `histogram` | `distribution` |
| Row (group header) | `row` | N/A |
### 1.3 Query System
Each widget carries a `query` object with three modes simultaneously:
```json
{
"queryType": "builder|clickhouse_sql|promql",
"builder": {
"queryData": [],
"queryFormulas": []
},
"clickhouse_sql": [],
"promql": []
}
```
Only `queryType` determines which mode is active; the other sections carry empty placeholder defaults.
#### Builder Query v4 (legacy, widely used)
- `aggregateOperator` + `aggregateAttribute` as separate fields
- `filters` with structured `items[]` containing key objects with synthetic IDs
- `having: []` as array
#### Builder Query v5 (newer, integration dashboards)
- `aggregations[]` array with `metricName`, `timeAggregation`, `spaceAggregation` combined
- `filter` with expression string (e.g., `"host_name IN $host_name"`)
- `having: {expression: ""}` as object
### 1.4 Query Range V5 API
The V5 execution API wraps queries in a `QueryEnvelope` discriminated union:
```
QueryEnvelope = {type: QueryType, spec: any}
```
Seven query types: `builder_query`, `builder_formula`, `builder_sub_query`, `builder_join`, `builder_trace_operator`, `promql`, `clickhouse_sql`
Six request types: `scalar`, `time_series`, `raw`, `raw_stream`, `trace`, `distribution`
Three signals with distinct aggregation models:
- **Metrics**: `metricName + temporality + timeAggregation + spaceAggregation`
- **Traces**: Expression-based (e.g., `"COUNT()"`, `"p99(duration_nano)"`)
- **Logs**: Expression-based (e.g., `"COUNT()"`, `"count_distinct(host.name)"`)
17 post-processing functions, server-side formula evaluation, SQL-style joins, and trace span relationship operators.
### 1.5 Documented Pain Points
1. **`StorableDashboardData` is `map[string]interface{}`**: All nested property access requires manual type assertions with fragile `ok` checks.
2. **Two incompatible query schema versions coexisting**: v4 and v5 query formats coexist in the same codebase. The backend migration layer (`pkg/transition/migrate_common.go`) converts at execution time.
3. **Massive boilerplate**: Every widget carries `selectedLogFields` and `selectedTracesFields` arrays even for metrics-only panels. Identical 5-element arrays copy-pasted hundreds of times.
4. **Duplicate query slots**: Every widget carries all three query types (`builder`, `clickhouse_sql`, `promql`) with empty placeholders for inactive types.
5. **Variable key inconsistency**: Variables keyed by human-readable name (e.g., `"Account"`) OR UUID depending on dashboard.
6. **Variables coupled to ClickHouse SQL**: Variable queries use raw `SELECT ... FROM signoz_metrics.distributed_time_series_v4_1day`, coupling dashboard definitions to internal storage schema.
7. **Redundant synthetic IDs**: Filter keys contain derived `id` fields like `"cloud_account_id--string--tag--false"`.
8. **Spelling errors baked in**: `"timePreferance"` (misspelled) is embedded in the serialized JSON contract.
9. **Layout/widget coupling implicit**: Layout items reference widgets by matching `i` to `id` with no schema enforcement. `panelMap` adds another implicit layer.
10. **No schema validation**: Dashboard data has no Go struct for validation. Relies entirely on frontend TypeScript types with extensive optional markers.
---
## 2. Perses.dev Specification Overview
### 2.1 What is Perses?
Perses is a CNCF Sandbox project providing:
- An **open dashboard specification** (implemented in Go, CUE, TypeScript)
- A **plugin-based extension model** for panels, queries, datasources, and variables
- **Dashboard-as-Code** via CUE and Go SDKs
- **Static validation** via `percli` CLI
- **Grafana migration** tooling
Adopters: Chronosphere, RedHat, SAP, Amadeus.
### 2.2 Dashboard Structure
```yaml
kind: Dashboard
metadata:
name: "..."
project: "..."
spec:
display: {name, description}
datasources: {name: DatasourceSpec} # inline or referenced
variables: [Variable] # ordered list
panels: {id: Panel} # map of panel definitions
layouts: [Layout] # separate from panels
duration: "5m"
refreshInterval: "30s"
```
### 2.3 Core Design: Plugin = `{kind: string, spec: any}`
The universal extension point. Panels, queries, datasources, and variables are all plugins:
```go
type Plugin struct {
Kind string `json:"kind"`
Metadata *PluginMetadata `json:"metadata,omitempty"`
Spec any `json:"spec"`
}
```
### 2.4 Panel Structure
```yaml
kind: Panel
spec:
display: {name, description}
plugin: {kind: "TimeSeriesChart", spec: {...}}
queries:
- kind: TimeSeriesQuery
spec:
plugin:
kind: PrometheusTimeSeriesQuery
spec: {query: "up", datasource: "$ds"}
```
### 2.5 Layout System
Panels separated from layout. Grid-based positioning with JSON `$ref` pointers:
```yaml
kind: Grid
spec:
display:
title: "Section Name"
collapse: {open: true}
items:
- x: 0, y: 0, width: 6, height: 6
content: {"$ref": "#/spec/panels/my_panel"}
```
### 2.6 Supported Datasources
| Datasource | Plugin Kind | Protocol |
|---|---|---|
| Prometheus | `PrometheusDatasource` | PromQL |
| Tempo | `TempoDatasource` | TraceQL |
| Loki | `LokiDatasource` | LogQL |
| Pyroscope | `PyroscopeDatasource` | Pyroscope API |
| ClickHouse | Community plugin | SQL |
| VictoriaLogs | Community plugin | VictoriaLogs API |
### 2.7 Plugin System
Five plugin categories: datasource, query, panel, variable, explore. Each distributes as a compressed archive with CUE schemas, React components (via module federation), and optional Grafana migration logic.
---
## 3. Feasibility Assessment
### 3.1 Support for Logs/Metrics/Traces/Events/Profiles
| Signal | Perses Status | SigNoz Requirement | Gap |
|---|---|---|---|
| **Metrics** | Prometheus plugin (mature) | ClickHouse-backed with dual aggregation model (time + space) | **Significant** - Perses assumes PromQL |
| **Traces** | Tempo plugin (exists) | ClickHouse-backed with trace operators, span-level queries, joins | **Significant** - Perses Tempo does basic TraceQL |
| **Logs** | Loki plugin (exists) | ClickHouse-backed with builder queries, raw list views, streaming | **Moderate** - Perses Loki uses LogQL |
| **Profiles** | Pyroscope plugin (exists) | Not yet core in SigNoz dashboards | Low gap |
| **Events** | No plugin | Future SigNoz need | Would require custom plugin |
Perses has plugins for all four pillars, but each assumes a specific backend protocol (PromQL, TraceQL, LogQL). SigNoz uses a **unified query builder** abstracting over ClickHouse. This is a fundamental architectural mismatch.
### 3.2 Extensibility
Perses's plugin architecture is genuinely extensible. SigNoz could create custom plugins (`SigNozDatasource`, `SigNozBuilderQuery`, etc.). However, this means:
- Writing and maintaining a **full Perses plugin ecosystem** for SigNoz
- Plugin must handle all 7 query types and 3 signal types
- CUE schema definitions for all SigNoz query structures
- Tracking Perses upstream changes (still a Sandbox project, not graduated)
### 3.3 Coupling Analysis
| Dimension | Current SigNoz | With Perses | Assessment |
|---|---|---|---|
| Dashboard to Storage | Variables use raw ClickHouse SQL | Would need SigNoz query plugin | Improvement possible |
| Dashboard to Frontend | Widget types tightly coupled to React | Perses separates panel spec from rendering | Improvement |
| Dashboard to Query API | Widgets carry full query objects | Plugin-typed, referenced via datasource | Improvement, but adds indirection |
| Dashboard to Perses | N/A | Depends on Perses versioning, plugin compat, CUE toolchain | **New coupling** |
### 3.4 Support for Query Range V5
This is the **most critical gap**:
| SigNoz V5 Feature | Perses Equivalent | Plugin Solvable? |
|---|---|---|
| `builder_query` with signal-specific aggregation | Plugin `spec: any` | Yes, but SigNoz-specific |
| `builder_formula` (cross-query math) | No formula concept | **Partially** - needs custom panel logic |
| `builder_join` (SQL-style cross-signal joins) | No equivalent | **No** - fundamentally different model |
| `builder_trace_operator` (span relationships) | No equivalent | **No** - unique to SigNoz |
| `builder_sub_query` (nested queries) | No equivalent | Would need plugin extension |
| Multiple query types per panel | Single-typed queries | Would need wrapper plugin |
| Post-processing functions (ewma, anomaly, timeShift) | No equivalent | Would need to be in plugin spec |
---
## 4. Why NOT Adopt Perses Wholesale
### 4.1 SigNoz-inside-Perses
Every SigNoz query feature would live inside `spec: any` blobs within Perses plugin wrappers:
```json
{
"kind": "TimeSeriesQuery",
"spec": {
"plugin": {
"kind": "SigNozBuilderQuery",
"spec": { /* ALL SigNoz-specific content here */ }
}
}
}
```
Perses validates the envelope (`kind: TimeSeriesQuery` exists, `plugin.kind` is registered). But the actual content is opaque to Perses. You'd still need your own validation for everything inside `spec`.
### 4.2 Formulas, Joins, and Trace Operators Have No Home
Perses model: `Panel -> queries[] -> Query`. Each query is independent.
SigNoz model: `Panel -> compositeQuery -> {queries[], formulas[], joins[], traceOperators[]}`. Queries reference each other by name. Formulas combine results. Joins cross signals.
You'd have to either:
- Shove the entire compositeQuery into a single plugin spec (making Perses query structure meaningless)
- Fork/extend Perses core spec (ongoing merge conflicts)
### 4.3 Plugin Maintenance Burden
Required custom plugins:
| Plugin | Purpose |
|---|---|
| `SigNozDatasource` | Points to SigNoz query-service |
| `SigNozBuilderQuery` | Wraps v5 builder queries for metrics/logs/traces |
| `SigNozFormulaQuery` | Wraps formula evaluation |
| `SigNozTraceOperatorQuery` | Wraps trace structural operators |
| `SigNozJoinQuery` | Wraps cross-signal joins |
| `SigNozSubQuery` | Wraps nested queries |
| `SigNozAttributeValuesVariable` | Variable from attribute values |
| `SigNozQueryVariable` | Variable from query results |
Each needs: CUE schema, React component, Grafana migration handler, and tests. Every v5 feature addition requires plugin schema updates.
### 4.4 Community Mismatch
Perses adopters are primarily Prometheus-centric. A `SigNozDatasource` plugin is useful only to SigNoz. You'd be the sole maintainer of the plugin suite.
### 4.5 The Counterargument
The one strong argument FOR wholesale adoption: **you get out of the "dashboard spec" business entirely**. Even if 80% is SigNoz-specific plugins, the 20% Perses handles (metadata, layout, display, variable ordering, versioning, RBAC scoping) is real work you don't have to maintain. If Perses graduates from CNCF sandbox, ecosystem benefits compound.
This trade-off doesn't justify the ongoing plugin maintenance tax, especially since those patterns are straightforward to implement natively. However, if SigNoz plans to eventually expose PromQL/TraceQL/LogQL-compatible endpoints, the calculus changes significantly.
---
## 5. Recommendation: Borrow Patterns, Build Native
### 5.1 Patterns to Adopt from Perses
| Perses Pattern | SigNoz Adoption |
|---|---|
| **`kind` + `spec` envelope** | Use for query types, panel types, variables. Consistent with v5 `QueryEnvelope`. |
| **Panels separated from Layout** | `panels: {}` map + `layouts: []` referencing by ID. |
| **Ordered variables as array** | Move from `variables: {name: {...}}` to `variables: [...]`. |
| **CUE or JSON Schema validation** | Define formal schema for dashboards. Use for CI and import/export. |
| **Dashboard-as-Code SDK** | Go/TypeScript SDK for programmatic dashboard generation. |
| **Metadata structure** | `kind` + `apiVersion` + `metadata` + `spec` top-level (Kubernetes-style). |
### 5.2 Proposed v6 Dashboard Structure
```json
{
"kind": "Dashboard",
"apiVersion": "signoz.io/v1",
"metadata": {
"name": "redis-overview",
"title": "Redis Overview",
"description": "...",
"tags": ["redis", "database"],
"image": "..."
},
"spec": {
"defaults": {
"timeRange": "5m",
"refreshInterval": "30s"
},
"variables": [
{
"kind": "QueryVariable",
"spec": {
"name": "host_name",
"signal": "metrics",
"attributeName": "host_name",
"multiSelect": true
}
}
],
"panels": {
"hit_rate": {
"kind": "TimeSeriesPanel",
"spec": {
"title": "Hit Rate",
"description": "Cache hit rate across hosts",
"display": {
"yAxisUnit": "percent",
"legend": {"position": "bottom"}
},
"query": {
"type": "composite",
"spec": {
"queries": [
{
"type": "builder_query",
"spec": {
"name": "A",
"signal": "metrics",
"aggregations": [{"metricName": "redis_keyspace_hits", "timeAggregation": "rate", "spaceAggregation": "sum"}],
"filter": {"expression": "host_name IN $host_name"}
}
}
],
"formulas": [
{"type": "builder_formula", "spec": {"expression": "A / (A + B) * 100"}}
]
}
}
}
}
},
"layouts": [
{
"kind": "Grid",
"spec": {
"title": "Overview",
"collapsible": true,
"collapsed": false,
"items": [
{"panel": "hit_rate", "x": 0, "y": 0, "w": 6, "h": 6}
]
}
}
]
}
}
```
### 5.3 Key Improvements Over Current Format
| Issue | Current | v6 |
|---|---|---|
| No validation | `map[string]interface{}` | JSON Schema enforced |
| Boilerplate | Every widget has selectedLogFields, all query modes | Only active query mode stored, display options per panel type |
| Variable ordering | `order` field inside map entries | Array position |
| Variable keys | Name or UUID inconsistently | `name` field in spec, array position |
| Layout coupling | Implicit `i` matches `id` | Explicit `panel` reference in layout items |
| Spelling errors | `timePreferance` | `timePreference` (fixed) |
| Query structure | Flat list of all queries + formulas | Typed envelope matching v5 API |
| Row grouping | Separate `panelMap` with duplicate layout entries | Integrated into `layouts[]` with `collapsible` flag |
### 5.4 Migration Path
1. **v4/v5 to v6 migration**: Build a Go migration function that transforms existing dashboards to v6 format. Handle both v4 and v5 query formats.
2. **Backward compatibility**: Support reading v4/v5 dashboards with automatic upgrade to v6 on save.
3. **Frontend**: Update TypeScript interfaces to match v6 schema. Remove legacy response converters once v5 API is fully adopted.
4. **Validation**: Add JSON Schema validation on dashboard create/update API endpoints.
5. **Integration dashboards**: Regenerate all dashboards in `SigNoz/dashboards` repo using v6 format.
---
## References
- [Perses Homepage](https://perses.dev/)
- [Perses Dashboard API](https://perses.dev/perses/docs/api/dashboard/)
- [Perses Open Specification](https://perses.dev/perses/docs/concepts/open-specification/)
- [Perses Plugin Creation](https://perses.dev/perses/docs/plugins/creation/)
- [Perses Prometheus Plugin Model](https://perses.dev/plugins/docs/prometheus/model/)
- [Perses GitHub Repository](https://github.com/perses/perses)
- [SigNoz Dashboards Repository](https://github.com/SigNoz/dashboards)
- SigNoz source: `pkg/types/dashboardtypes/dashboard.go`
- SigNoz source: `pkg/types/querybuildertypes/querybuildertypesv5/`
- SigNoz source: `frontend/src/types/api/dashboard/getAll.ts`
- SigNoz source: `frontend/src/types/api/queryBuilder/queryBuilderData.ts`
- SigNoz source: `frontend/src/types/api/v5/queryRange.ts`
- SigNoz source: `pkg/transition/migrate_common.go`

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// SigNoz Perses Plugin Schemas
//
// CUE schemas for all SigNoz-specific Perses plugin types.
// These define the `spec` shape inside Perses Plugin wrappers:
// { "kind": "<PluginKind>", "spec": <validated by this file> }
//
// Perses core types (Dashboard, Panel, Layout, Variable envelopes)
// are validated by Perses itself. This file only covers SigNoz plugins.
//
// Usage:
// percli lint --schema-dir ./signoz-perses-plugins dashboard.json
//
// Reference: https://perses.dev/perses/docs/api/plugin/
package signoz
// ============================================================================
// Datasource Plugin
// ============================================================================
// SigNozDatasource configures the connection to a SigNoz query service.
// Used inside: DatasourceSpec.plugin { kind: "SigNozDatasource", spec: ... }
#SigNozDatasource: {
// Direct URL for embedded mode (SigNoz serves its own dashboards).
// The frontend calls SigNoz APIs directly at this base URL.
directUrl?: string & =~"^/|^https?://"
// HTTP proxy config for external mode (standalone Perses connecting to SigNoz).
proxy?: #HTTPProxy
}
#HTTPProxy: {
kind: "HTTPProxy"
spec: {
url: string & =~"^https?://"
allowedEndpoints?: [...#AllowedEndpoint]
}
}
#AllowedEndpoint: {
endpointPattern: string
method: "GET" | "POST" | "PUT" | "DELETE"
}
// ============================================================================
// Query Plugins
// ============================================================================
// SigNozBuilderQuery is a single builder query for one signal.
// Used inside: TimeSeriesQuery.spec.plugin { kind: "SigNozBuilderQuery", spec: ... }
// Use this when the panel has independent queries (no formulas, joins, or trace operators).
#SigNozBuilderQuery: {
name: #QueryName
signal: #Signal
source?: string
disabled?: bool | *false
// Metrics use structured aggregations; traces/logs use expression aggregations
aggregations?: [...#MetricAggregation | #ExpressionAggregation]
filter?: #Filter
groupBy?: [...#GroupByKey]
order?: [...#OrderBy]
having?: #Having
selectFields?: [...#TelemetryFieldKey]
limit?: int & >=0 & <=10000
limitBy?: #LimitBy
offset?: int & >=0
cursor?: string
secondaryAggregations?: [...#SecondaryAggregation]
functions?: [...#PostProcessingFunction]
legend?: string
reduceTo?: #ReduceTo
stepInterval?: #StepInterval
}
// SigNozCompositeQuery bundles multiple queries with formulas, joins, or trace operators.
// Used inside: TimeSeriesQuery.spec.plugin { kind: "SigNozCompositeQuery", spec: ... }
// Use this when a panel needs cross-query references (A/B formulas, joins, trace operators).
#SigNozCompositeQuery: {
queries: [...#CompositeQueryEntry] & [_, ...] // at least one query
formulas?: [...#FormulaEntry]
joins?: [...#JoinEntry]
traceOperators?: [...#TraceOperatorEntry]
}
// A query within a composite. Same shape as SigNozBuilderQuery.
#CompositeQueryEntry: #SigNozBuilderQuery
// A formula referencing other queries by name.
#FormulaEntry: {
name: #QueryName
expression: string & !="" // e.g. "A/B * 100"
disabled?: bool | *false
order?: [...#OrderBy]
limit?: int & >=0 & <=10000
having?: #Having
functions?: [...#PostProcessingFunction]
legend?: string
}
// A join combining results from two queries.
#JoinEntry: {
name: #QueryName
disabled?: bool | *false
left: #QueryRef
right: #QueryRef
joinType: "inner" | "left" | "right" | "full" | "cross"
on: string & !="" // join condition expression
aggregations?: [...#MetricAggregation | #ExpressionAggregation]
selectFields?: [...#TelemetryFieldKey]
filter?: #Filter
groupBy?: [...#GroupByKey]
having?: #Having
order?: [...#OrderBy]
limit?: int & >=0 & <=10000
secondaryAggregations?: [...#SecondaryAggregation]
functions?: [...#PostProcessingFunction]
}
// A trace operator expressing span relationships.
#TraceOperatorEntry: {
name: #QueryName
disabled?: bool | *false
// Operators: => (direct descendant), -> (indirect descendant),
// && (AND), || (OR), NOT (exclude). Example: "A => B && C"
expression: string & !=""
filter?: #Filter
returnSpansFrom?: string
order?: [...#TraceOrderBy]
aggregations?: [...#ExpressionAggregation]
stepInterval?: #StepInterval
groupBy?: [...#GroupByKey]
having?: #Having
limit?: int & >=0 & <=10000
offset?: int & >=0
cursor?: string
legend?: string
selectFields?: [...#TelemetryFieldKey]
functions?: [...#PostProcessingFunction]
}
// SigNozPromQL wraps a raw PromQL query.
// Used inside: TimeSeriesQuery.spec.plugin { kind: "SigNozPromQL", spec: ... }
#SigNozPromQL: {
name: string
query: string & !=""
disabled?: bool | *false
step?: #StepInterval
stats?: bool | *false
legend?: string
}
// SigNozClickHouseSQL wraps a raw ClickHouse SQL query.
// Used inside: TimeSeriesQuery.spec.plugin { kind: "SigNozClickHouseSQL", spec: ... }
#SigNozClickHouseSQL: {
name: string
query: string & !=""
disabled?: bool | *false
legend?: string
}
// ============================================================================
// Variable Plugins
// ============================================================================
// SigNozQueryVariable resolves variable values using a builder query.
// Used inside: ListVariable.spec.plugin { kind: "SigNozQueryVariable", spec: ... }
#SigNozQueryVariable: {
// The query that produces variable values.
// Uses the same builder query model as panels.
query: #SigNozBuilderQuery | #SigNozCompositeQuery | #SigNozPromQL | #SigNozClickHouseSQL
}
// SigNozAttributeValues resolves variable values from attribute autocomplete.
// Used inside: ListVariable.spec.plugin { kind: "SigNozAttributeValues", spec: ... }
// This is a simpler alternative to SigNozQueryVariable for common cases
// like "list all values of host.name for metric X".
#SigNozAttributeValues: {
signal: #Signal
metricName?: string // required when signal is "metrics"
attributeName: string & !=""
filter?: #Filter // optional pre-filter
}
// ============================================================================
// Signals
// ============================================================================
#Signal: "metrics" | "traces" | "logs"
// Extensible to "events" | "profiles" in future
// ============================================================================
// Aggregations
// ============================================================================
// MetricAggregation defines the two-level aggregation model for metrics:
// time aggregation (within each time bucket) then space aggregation (across dimensions).
#MetricAggregation: {
metricName: string & !=""
temporality?: #MetricTemporality
timeAggregation?: #TimeAggregation
spaceAggregation?: #SpaceAggregation
reduceTo?: #ReduceTo
}
// ExpressionAggregation uses ClickHouse aggregate function syntax for traces/logs.
// Examples: "count()", "sum(item_price)", "p99(duration_nano)", "countIf(day > 10)"
#ExpressionAggregation: {
expression: string & !=""
alias?: string
}
#MetricTemporality: "delta" | "cumulative" | "unspecified"
#TimeAggregation:
"latest" | "sum" | "avg" | "min" | "max" |
"count" | "count_distinct" | "rate" | "increase"
#SpaceAggregation:
"sum" | "avg" | "min" | "max" | "count" |
"p50" | "p75" | "p90" | "p95" | "p99"
#ReduceTo: "sum" | "count" | "avg" | "min" | "max" | "last" | "median"
// ============================================================================
// Filters
// ============================================================================
// Filter uses expression syntax instead of structured items with synthetic IDs.
// Supports: =, !=, >, >=, <, <=, IN, NOT IN, LIKE, NOT LIKE, ILIKE, NOT ILIKE,
// BETWEEN, NOT BETWEEN, EXISTS, NOT EXISTS, REGEXP, NOT REGEXP, CONTAINS, NOT CONTAINS.
// Variable interpolation: $variable_name
#Filter: {
expression: string
}
// ============================================================================
// Group By, Order By, Having
// ============================================================================
#GroupByKey: {
name: string & !=""
signal?: #Signal
fieldContext?: #FieldContext
fieldDataType?: #FieldDataType
}
#OrderBy: {
key: #OrderByKey
direction: "asc" | "desc"
}
#OrderByKey: {
name: string & !=""
signal?: #Signal
fieldContext?: #FieldContext
fieldDataType?: #FieldDataType
}
#TraceOrderBy: {
key: {
name: "span_count" | "trace_duration"
}
direction: "asc" | "desc"
}
// Having applies a post-aggregation filter.
// Example: "count() > 100"
#Having: {
expression: string & !=""
}
// ============================================================================
// Secondary Aggregations & Limits
// ============================================================================
#SecondaryAggregation: {
expression: string
alias?: string
stepInterval?: #StepInterval
groupBy?: [...#GroupByKey]
order?: [...#OrderBy]
limit?: int & >=0 & <=10000
limitBy?: #LimitBy
}
#LimitBy: {
keys: [...string] & [_, ...] // at least one key
value: string // max rows per group (string for compatibility)
}
// ============================================================================
// Post-Processing Functions
// ============================================================================
#PostProcessingFunction: {
name: #FunctionName
args?: [...#FunctionArg]
}
#FunctionName:
// Threshold functions
"cutOffMin" | "cutOffMax" | "clampMin" | "clampMax" |
// Math functions
"absolute" | "runningDiff" | "log2" | "log10" | "cumulativeSum" |
// Smoothing functions (exponentially weighted moving average)
"ewma3" | "ewma5" | "ewma7" |
// Smoothing functions (sliding median window)
"median3" | "median5" | "median7" |
// Time functions
"timeShift" |
// Analysis functions
"anomaly" |
// Gap filling
"fillZero"
#FunctionArg: {
name?: string
value: number | string | bool
}
// ============================================================================
// Telemetry Field References
// ============================================================================
#TelemetryFieldKey: {
name: string & !=""
description?: string
unit?: string
signal?: #Signal
fieldContext?: #FieldContext
fieldDataType?: #FieldDataType
}
#FieldContext:
"resource" | "scope" | "span" | "event" | "link" |
"log" | "metric" | "body" | "trace"
#FieldDataType:
"string" | "int64" | "float64" | "bool" |
"array(string)" | "array(int64)" | "array(float64)" | "array(bool)"
// ============================================================================
// Common Types
// ============================================================================
// QueryName must be a valid identifier: starts with letter, contains letters/digits/underscores.
#QueryName: =~"^[A-Za-z][A-Za-z0-9_]*$"
// QueryRef references another query by name within a composite query.
#QueryRef: {
name: string & !=""
}
// StepInterval accepts seconds (numeric) or duration string ("15s", "1m", "1h").
#StepInterval: number & >=0 | =~"^[0-9]+(ns|us|ms|s|m|h)$"

View File

@@ -282,11 +282,11 @@ export default function QuickFilters(props: IQuickFiltersProps): JSX.Element {
size="small"
style={{ marginLeft: 'auto' }}
checked={showIP ?? true}
onChange={(checked): void => {
onClick={(): void => {
logEvent('API Monitoring: Show IP addresses clicked', {
showIP: checked,
showIP: !(showIP ?? true),
});
setParams({ showIP: checked });
setParams({ showIP });
}}
/>
</div>

View File

@@ -1,8 +1,4 @@
import { ENVIRONMENT } from 'constants/env';
import {
ApiMonitoringParams,
useApiMonitoringParams,
} from 'container/ApiMonitoring/queryParams';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import {
otherFiltersResponse,
@@ -22,15 +18,10 @@ import { QuickFiltersConfig } from './constants';
jest.mock('hooks/queryBuilder/useQueryBuilder', () => ({
useQueryBuilder: jest.fn(),
}));
jest.mock('container/ApiMonitoring/queryParams');
const handleFilterVisibilityChange = jest.fn();
const redirectWithQueryBuilderData = jest.fn();
const putHandler = jest.fn();
const mockSetApiMonitoringParams = jest.fn() as jest.MockedFunction<
(newParams: Partial<ApiMonitoringParams>, replace?: boolean) => void
>;
const mockUseApiMonitoringParams = jest.mocked(useApiMonitoringParams);
const BASE_URL = ENVIRONMENT.baseURL;
const SIGNAL = SignalType.LOGS;
@@ -93,28 +84,6 @@ TestQuickFilters.defaultProps = {
config: QuickFiltersConfig,
};
function TestQuickFiltersApiMonitoring({
signal = SignalType.LOGS,
config = QuickFiltersConfig,
}: {
signal?: SignalType;
config?: IQuickFiltersConfig[];
}): JSX.Element {
return (
<QuickFilters
source={QuickFiltersSource.API_MONITORING}
config={config}
handleFilterVisibilityChange={handleFilterVisibilityChange}
signal={signal}
/>
);
}
TestQuickFiltersApiMonitoring.defaultProps = {
signal: '',
config: QuickFiltersConfig,
};
beforeAll(() => {
server.listen();
});
@@ -143,10 +112,6 @@ beforeEach(() => {
lastUsedQuery: 0,
redirectWithQueryBuilderData,
});
mockUseApiMonitoringParams.mockReturnValue([
{ showIP: true } as ApiMonitoringParams,
mockSetApiMonitoringParams,
]);
setupServer();
});
@@ -286,24 +251,6 @@ describe('Quick Filters', () => {
);
});
});
it('toggles Show IP addresses and updates API Monitoring params', async () => {
const user = userEvent.setup({ pointerEventsCheck: 0 });
render(<TestQuickFiltersApiMonitoring />);
// Switch should be rendered and initially checked
expect(screen.getByText('Show IP addresses')).toBeInTheDocument();
const toggle = screen.getByRole('switch');
expect(toggle).toHaveAttribute('aria-checked', 'true');
await user.click(toggle);
await waitFor(() => {
expect(mockSetApiMonitoringParams).toHaveBeenCalledWith(
expect.objectContaining({ showIP: false }),
);
});
});
});
describe('Quick Filters with custom filters', () => {

View File

@@ -43,11 +43,11 @@ var (
// FromUnit returns a converter for the given unit
func FromUnit(u Unit) Converter {
switch u {
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min", "w", "wk":
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min":
return DurationConverter
case "bytes", "decbytes", "bits", "bit", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy", "EBy", "ZBy", "YBy", "KiBy", "MiBy", "GiBy", "TiBy", "PiBy", "EiBy", "ZiBy", "YiBy", "kbit", "Mbit", "Gbit", "Tbit", "Pbit", "Ebit", "Zbit", "Ybit", "Kibit", "Mibit", "Gibit", "Tibit", "Pibit":
case "bytes", "decbytes", "bits", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy":
return DataConverter
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "EBy/s", "ZBy/s", "YBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s", "Ebit/s", "Zbit/s", "Ybit/s", "KiBy/s", "MiBy/s", "GiBy/s", "TiBy/s", "PiBy/s", "EiBy/s", "ZiBy/s", "YiBy/s", "Kibit/s", "Mibit/s", "Gibit/s", "Tibit/s", "Pibit/s", "Eibit/s", "Zibit/s", "Yibit/s":
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s":
return DataRateConverter
case "percent", "percentunit", "%":
return PercentConverter

View File

@@ -58,80 +58,36 @@ func (*dataConverter) Name() string {
return "data"
}
// Notation followed by UCUM:
// https://ucum.org/ucum
// kibi = Ki, mebi = Mi, gibi = Gi, tebi = Ti, pibi = Pi
// kilo = k, mega = M, giga = G, tera = T, peta = P
// exa = E, zetta = Z, yotta = Y
// byte = By, bit = bit
func FromDataUnit(u Unit) float64 {
switch u {
case "bytes", "By": // base 2
return Byte
case "decbytes": // base 10
return Byte
case "bits", "bit": // base 2
case "bits": // base 2
return Bit
case "decbits": // base 10
return Bit
case "kbytes", "KiBy": // base 2
case "kbytes", "kBy": // base 2
return Kibibyte
case "decKbytes", "deckbytes", "kBy": // base 10
case "decKbytes", "deckbytes": // base 10
return Kilobyte
case "mbytes", "MiBy": // base 2
case "mbytes", "MBy": // base 2
return Mebibyte
case "decMbytes", "decmbytes", "MBy": // base 10
case "decMbytes", "decmbytes": // base 10
return Megabyte
case "gbytes", "GiBy": // base 2
case "gbytes", "GBy": // base 2
return Gibibyte
case "decGbytes", "decgbytes", "GBy": // base 10
case "decGbytes", "decgbytes": // base 10
return Gigabyte
case "tbytes", "TiBy": // base 2
case "tbytes", "TBy": // base 2
return Tebibyte
case "decTbytes", "dectbytes", "TBy": // base 10
case "decTbytes", "dectbytes": // base 10
return Terabyte
case "pbytes", "PiBy": // base 2
case "pbytes", "PBy": // base 2
return Pebibyte
case "decPbytes", "decpbytes", "PBy": // base 10
case "decPbytes", "decpbytes": // base 10
return Petabyte
case "EBy": // base 10
return Exabyte
case "ZBy": // base 10
return Zettabyte
case "YBy": // base 10
return Yottabyte
case "Kibit": // base 2
return Kibibit
case "Mibit": // base 2
return Mebibit
case "Gibit": // base 2
return Gibibit
case "Tibit": // base 2
return Tebibit
case "Pibit": // base 2
return Pebibit
case "EiBy": // base 2
return Exbibyte
case "ZiBy": // base 2
return Zebibyte
case "YiBy": // base 2
return Yobibyte
case "kbit": // base 10
return Kilobit
case "Mbit": // base 10
return Megabit
case "Gbit": // base 10
return Gigabit
case "Tbit": // base 10
return Terabit
case "Pbit": // base 10
return Petabit
case "Ebit": // base 10
return Exabit
case "Zbit": // base 10
return Zettabit
case "Ybit": // base 10
return Yottabit
default:
return 1
}

View File

@@ -54,12 +54,6 @@ func (*dataRateConverter) Name() string {
return "data_rate"
}
// Notation followed by UCUM:
// https://ucum.org/ucum
// kibi = Ki, mebi = Mi, gibi = Gi, tebi = Ti, pibi = Pi
// kilo = k, mega = M, giga = G, tera = T, peta = P
// exa = E, zetta = Z, yotta = Y
// byte = By, bit = bit
func FromDataRateUnit(u Unit) float64 {
// See https://github.com/SigNoz/signoz/blob/5a81f5f90b34845f5b4b3bdd46acf29d04bf3987/frontend/src/container/NewWidget/RightContainer/dataFormatCategories.ts#L62-L85
switch u {
@@ -71,70 +65,46 @@ func FromDataRateUnit(u Unit) float64 {
return BitPerSecond
case "bps", "bit/s": // bits/sec(SI)
return BitPerSecond
case "KiBs", "KiBy/s": // kibibytes/sec
case "KiBs": // kibibytes/sec
return KibibytePerSecond
case "Kibits", "Kibit/s": // kibibits/sec
case "Kibits": // kibibits/sec
return KibibitPerSecond
case "KBs", "kBy/s": // kilobytes/sec
return KilobytePerSecond
case "Kbits", "kbit/s": // kilobits/sec
return KilobitPerSecond
case "MiBs", "MiBy/s": // mebibytes/sec
case "MiBs": // mebibytes/sec
return MebibytePerSecond
case "Mibits", "Mibit/s": // mebibits/sec
case "Mibits": // mebibits/sec
return MebibitPerSecond
case "MBs", "MBy/s": // megabytes/sec
return MegabytePerSecond
case "Mbits", "Mbit/s": // megabits/sec
return MegabitPerSecond
case "GiBs", "GiBy/s": // gibibytes/sec
case "GiBs": // gibibytes/sec
return GibibytePerSecond
case "Gibits", "Gibit/s": // gibibits/sec
case "Gibits": // gibibits/sec
return GibibitPerSecond
case "GBs", "GBy/s": // gigabytes/sec
return GigabytePerSecond
case "Gbits", "Gbit/s": // gigabits/sec
return GigabitPerSecond
case "TiBs", "TiBy/s": // tebibytes/sec
case "TiBs": // tebibytes/sec
return TebibytePerSecond
case "Tibits", "Tibit/s": // tebibits/sec
case "Tibits": // tebibits/sec
return TebibitPerSecond
case "TBs", "TBy/s": // terabytes/sec
return TerabytePerSecond
case "Tbits", "Tbit/s": // terabits/sec
return TerabitPerSecond
case "PiBs", "PiBy/s": // pebibytes/sec
case "PiBs": // pebibytes/sec
return PebibytePerSecond
case "Pibits", "Pibit/s": // pebibits/sec
case "Pibits": // pebibits/sec
return PebibitPerSecond
case "PBs", "PBy/s": // petabytes/sec
return PetabytePerSecond
case "Pbits", "Pbit/s": // petabits/sec
return PetabitPerSecond
case "EBy/s": // exabytes/sec
return ExabytePerSecond
case "Ebit/s": // exabits/sec
return ExabitPerSecond
case "EiBy/s": // exbibytes/sec
return ExbibytePerSecond
case "Eibit/s": // exbibits/sec
return ExbibitPerSecond
case "ZBy/s": // zettabytes/sec
return ZettabytePerSecond
case "Zbit/s": // zettabits/sec
return ZettabitPerSecond
case "ZiBy/s": // zebibytes/sec
return ZebibytePerSecond
case "Zibit/s": // zebibits/sec
return ZebibitPerSecond
case "YBy/s": // yottabytes/sec
return YottabytePerSecond
case "Ybit/s": // yottabits/sec
return YottabitPerSecond
case "YiBy/s": // yobibytes/sec
return YobibytePerSecond
case "Yibit/s": // yobibits/sec
return YobibitPerSecond
default:
return 1
}

View File

@@ -75,83 +75,3 @@ func TestDataRate(t *testing.T) {
// 1024 * 1024 * 1024 bytes = 1 gbytes
assert.Equal(t, Value{F: 1, U: "GiBs"}, dataRateConverter.Convert(Value{F: 1024 * 1024 * 1024, U: "binBps"}, "GiBs"))
}
func TestDataRateConversionUCUMUnit(t *testing.T) {
dataRateConverter := NewDataRateConverter()
tests := []struct {
name string
input Value
toUnit Unit
expected Value
}{
// Binary byte scaling
{name: "Binary byte scaling: 1024 By/s = 1 KiBy/s", input: Value{F: 1024, U: "By/s"}, toUnit: "KiBy/s", expected: Value{F: 1, U: "KiBy/s"}},
{name: "Kibibyte to bytes: 1 KiBy/s = 1024 By/s", input: Value{F: 1, U: "KiBy/s"}, toUnit: "By/s", expected: Value{F: 1024, U: "By/s"}},
{name: "Binary byte scaling: 1024 KiBy/s = 1 MiBy/s", input: Value{F: 1024, U: "KiBy/s"}, toUnit: "MiBy/s", expected: Value{F: 1, U: "MiBy/s"}},
{name: "Gibibyte to bytes: 1 GiBy/s = 1073741824 By/s", input: Value{F: 1, U: "GiBy/s"}, toUnit: "By/s", expected: Value{F: 1024 * 1024 * 1024, U: "By/s"}},
{name: "Binary byte scaling: 1024 MiBy/s = 1 GiBy/s", input: Value{F: 1024, U: "MiBy/s"}, toUnit: "GiBy/s", expected: Value{F: 1, U: "GiBy/s"}},
{name: "Gibibyte to mebibyte: 1 GiBy/s = 1024 MiBy/s", input: Value{F: 1, U: "GiBy/s"}, toUnit: "MiBy/s", expected: Value{F: 1024, U: "MiBy/s"}},
{name: "Binary byte scaling: 1024 GiBy/s = 1 TiBy/s", input: Value{F: 1024, U: "GiBy/s"}, toUnit: "TiBy/s", expected: Value{F: 1, U: "TiBy/s"}},
{name: "Tebibyte to bytes: 1 TiBy/s = 1099511627776 By/s", input: Value{F: 1, U: "TiBy/s"}, toUnit: "By/s", expected: Value{F: 1024 * 1024 * 1024 * 1024, U: "By/s"}},
{name: "Binary byte scaling: 1024 TiBy/s = 1 PiBy/s", input: Value{F: 1024, U: "TiBy/s"}, toUnit: "PiBy/s", expected: Value{F: 1, U: "PiBy/s"}},
{name: "Pebibyte to tebibyte: 1 PiBy/s = 1024 TiBy/s", input: Value{F: 1, U: "PiBy/s"}, toUnit: "TiBy/s", expected: Value{F: 1024, U: "TiBy/s"}},
// Binary bit scaling
{name: "Binary bit scaling: 1024 bit/s = 1 Kibit/s", input: Value{F: 1024, U: "bit/s"}, toUnit: "Kibit/s", expected: Value{F: 1, U: "Kibit/s"}},
{name: "Kibibit to bits: 1 Kibit/s = 1024 bit/s", input: Value{F: 1, U: "Kibit/s"}, toUnit: "bit/s", expected: Value{F: 1024, U: "bit/s"}},
{name: "Binary bit scaling: 1024 Kibit/s = 1 Mibit/s", input: Value{F: 1024, U: "Kibit/s"}, toUnit: "Mibit/s", expected: Value{F: 1, U: "Mibit/s"}},
{name: "Gibibit to bits: 1 Gibit/s = 1073741824 bit/s", input: Value{F: 1, U: "Gibit/s"}, toUnit: "bit/s", expected: Value{F: 1024 * 1024 * 1024, U: "bit/s"}},
{name: "Binary bit scaling: 1024 Mibit/s = 1 Gibit/s", input: Value{F: 1024, U: "Mibit/s"}, toUnit: "Gibit/s", expected: Value{F: 1, U: "Gibit/s"}},
{name: "Gibibit to mebibit: 1 Gibit/s = 1024 Mibit/s", input: Value{F: 1, U: "Gibit/s"}, toUnit: "Mibit/s", expected: Value{F: 1024, U: "Mibit/s"}},
{name: "Binary bit scaling: 1024 Gibit/s = 1 Tibit/s", input: Value{F: 1024, U: "Gibit/s"}, toUnit: "Tibit/s", expected: Value{F: 1, U: "Tibit/s"}},
{name: "Tebibit to gibibit: 1 Tibit/s = 1024 Gibit/s", input: Value{F: 1, U: "Tibit/s"}, toUnit: "Gibit/s", expected: Value{F: 1024, U: "Gibit/s"}},
{name: "Binary bit scaling: 1024 Tibit/s = 1 Pibit/s", input: Value{F: 1024, U: "Tibit/s"}, toUnit: "Pibit/s", expected: Value{F: 1, U: "Pibit/s"}},
{name: "Pebibit to tebibit: 1 Pibit/s = 1024 Tibit/s", input: Value{F: 1, U: "Pibit/s"}, toUnit: "Tibit/s", expected: Value{F: 1024, U: "Tibit/s"}},
// Bytes to bits
{name: "Bytes to bits: 1 KiBy/s = 8 Kibit/s", input: Value{F: 1, U: "KiBy/s"}, toUnit: "Kibit/s", expected: Value{F: 8, U: "Kibit/s"}},
{name: "Bytes to bits: 1 MiBy/s = 8 Mibit/s", input: Value{F: 1, U: "MiBy/s"}, toUnit: "Mibit/s", expected: Value{F: 8, U: "Mibit/s"}},
{name: "Bytes to bits: 1 GiBy/s = 8 Gibit/s", input: Value{F: 1, U: "GiBy/s"}, toUnit: "Gibit/s", expected: Value{F: 8, U: "Gibit/s"}},
// Unit alias
{name: "Unit alias: 1 KiBs = 1 KiBy/s", input: Value{F: 1, U: "KiBs"}, toUnit: "KiBy/s", expected: Value{F: 1, U: "KiBy/s"}},
{name: "Unit alias: 1 Kibits = 1 Kibit/s", input: Value{F: 1, U: "Kibits"}, toUnit: "Kibit/s", expected: Value{F: 1, U: "Kibit/s"}},
// SI byte scaling (Exa, Zetta, Yotta)
{name: "SI byte scaling: 1000 PBy/s = 1 EBy/s", input: Value{F: 1000, U: "PBy/s"}, toUnit: "EBy/s", expected: Value{F: 1, U: "EBy/s"}},
{name: "Exabyte to bytes: 1 EBy/s = 1e18 By/s", input: Value{F: 1, U: "EBy/s"}, toUnit: "By/s", expected: Value{F: 1e18, U: "By/s"}},
{name: "SI byte scaling: 1000 EBy/s = 1 ZBy/s", input: Value{F: 1000, U: "EBy/s"}, toUnit: "ZBy/s", expected: Value{F: 1, U: "ZBy/s"}},
{name: "Zettabyte to petabytes: 1 ZBy/s = 1000000 PBy/s", input: Value{F: 1, U: "ZBy/s"}, toUnit: "PBy/s", expected: Value{F: 1e6, U: "PBy/s"}},
{name: "SI byte scaling: 1000 ZBy/s = 1 YBy/s", input: Value{F: 1000, U: "ZBy/s"}, toUnit: "YBy/s", expected: Value{F: 1, U: "YBy/s"}},
{name: "Yottabyte to zettabyte: 1 YBy/s = 1000 ZBy/s", input: Value{F: 1, U: "YBy/s"}, toUnit: "ZBy/s", expected: Value{F: 1000, U: "ZBy/s"}},
// Binary byte scaling (Exbi, Zebi, Yobi)
{name: "Binary byte scaling: 1024 PiBy/s = 1 EiBy/s", input: Value{F: 1024, U: "PiBy/s"}, toUnit: "EiBy/s", expected: Value{F: 1, U: "EiBy/s"}},
{name: "Exbibyte to tebibytes: 1 EiBy/s = 1048576 TiBy/s", input: Value{F: 1, U: "EiBy/s"}, toUnit: "TiBy/s", expected: Value{F: 1024 * 1024, U: "TiBy/s"}},
{name: "Binary byte scaling: 1024 EiBy/s = 1 ZiBy/s", input: Value{F: 1024, U: "EiBy/s"}, toUnit: "ZiBy/s", expected: Value{F: 1, U: "ZiBy/s"}},
{name: "Zebibyte to exbibyte: 1 ZiBy/s = 1024 EiBy/s", input: Value{F: 1, U: "ZiBy/s"}, toUnit: "EiBy/s", expected: Value{F: 1024, U: "EiBy/s"}},
{name: "Binary byte scaling: 1024 ZiBy/s = 1 YiBy/s", input: Value{F: 1024, U: "ZiBy/s"}, toUnit: "YiBy/s", expected: Value{F: 1, U: "YiBy/s"}},
{name: "Yobibyte to zebibyte: 1 YiBy/s = 1024 ZiBy/s", input: Value{F: 1, U: "YiBy/s"}, toUnit: "ZiBy/s", expected: Value{F: 1024, U: "ZiBy/s"}},
// SI bit scaling (Exa, Zetta, Yotta)
{name: "SI bit scaling: 1000 Pbit/s = 1 Ebit/s", input: Value{F: 1000, U: "Pbit/s"}, toUnit: "Ebit/s", expected: Value{F: 1, U: "Ebit/s"}},
{name: "Exabit to gigabits: 1 Ebit/s = 1e9 Gbit/s", input: Value{F: 1, U: "Ebit/s"}, toUnit: "Gbit/s", expected: Value{F: 1e9, U: "Gbit/s"}},
{name: "SI bit scaling: 1000 Ebit/s = 1 Zbit/s", input: Value{F: 1000, U: "Ebit/s"}, toUnit: "Zbit/s", expected: Value{F: 1, U: "Zbit/s"}},
{name: "Zettabit to exabit: 1 Zbit/s = 1000 Ebit/s", input: Value{F: 1, U: "Zbit/s"}, toUnit: "Ebit/s", expected: Value{F: 1000, U: "Ebit/s"}},
{name: "SI bit scaling: 1000 Zbit/s = 1 Ybit/s", input: Value{F: 1000, U: "Zbit/s"}, toUnit: "Ybit/s", expected: Value{F: 1, U: "Ybit/s"}},
{name: "Yottabit to zettabit: 1 Ybit/s = 1000 Zbit/s", input: Value{F: 1, U: "Ybit/s"}, toUnit: "Zbit/s", expected: Value{F: 1000, U: "Zbit/s"}},
// Binary bit scaling (Exbi, Zebi, Yobi)
{name: "Binary bit scaling: 1024 Pibit/s = 1 Eibit/s", input: Value{F: 1024, U: "Pibit/s"}, toUnit: "Eibit/s", expected: Value{F: 1, U: "Eibit/s"}},
{name: "Exbibit to pebibit: 1 Eibit/s = 1024 Pibit/s", input: Value{F: 1, U: "Eibit/s"}, toUnit: "Pibit/s", expected: Value{F: 1024, U: "Pibit/s"}},
{name: "Binary bit scaling: 1024 Eibit/s = 1 Zibit/s", input: Value{F: 1024, U: "Eibit/s"}, toUnit: "Zibit/s", expected: Value{F: 1, U: "Zibit/s"}},
{name: "Zebibit to exbibit: 1 Zibit/s = 1024 Eibit/s", input: Value{F: 1, U: "Zibit/s"}, toUnit: "Eibit/s", expected: Value{F: 1024, U: "Eibit/s"}},
{name: "Binary bit scaling: 1024 Zibit/s = 1 Yibit/s", input: Value{F: 1024, U: "Zibit/s"}, toUnit: "Yibit/s", expected: Value{F: 1, U: "Yibit/s"}},
{name: "Yobibit to zebibit: 1 Yibit/s = 1024 Zibit/s", input: Value{F: 1, U: "Yibit/s"}, toUnit: "Zibit/s", expected: Value{F: 1024, U: "Zibit/s"}},
// Bytes to bits (Exbi, Zebi, Yobi)
{name: "Bytes to bits: 1 EiBy/s = 8 Eibit/s", input: Value{F: 1, U: "EiBy/s"}, toUnit: "Eibit/s", expected: Value{F: 8, U: "Eibit/s"}},
{name: "Bytes to bits: 1 ZiBy/s = 8 Zibit/s", input: Value{F: 1, U: "ZiBy/s"}, toUnit: "Zibit/s", expected: Value{F: 8, U: "Zibit/s"}},
{name: "Bytes to bits: 1 YiBy/s = 8 Yibit/s", input: Value{F: 1, U: "YiBy/s"}, toUnit: "Yibit/s", expected: Value{F: 8, U: "Yibit/s"}},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := dataRateConverter.Convert(tt.input, tt.toUnit)
assert.Equal(t, tt.expected, got)
})
}
}

View File

@@ -13,7 +13,7 @@ func TestData(t *testing.T) {
assert.Equal(t, Value{F: 1, U: "By"}, dataConverter.Convert(Value{F: 8, U: "bits"}, "By"))
// 1024 bytes = 1 kbytes
assert.Equal(t, Value{F: 1, U: "kbytes"}, dataConverter.Convert(Value{F: 1024, U: "bytes"}, "kbytes"))
assert.Equal(t, Value{F: 1, U: "kBy"}, dataConverter.Convert(Value{F: 1000, U: "bytes"}, "kBy"))
assert.Equal(t, Value{F: 1, U: "kBy"}, dataConverter.Convert(Value{F: 1024, U: "bytes"}, "kBy"))
// 1 byte = 8 bits
assert.Equal(t, Value{F: 8, U: "bits"}, dataConverter.Convert(Value{F: 1, U: "bytes"}, "bits"))
// 1 mbytes = 1024 kbytes
@@ -22,7 +22,7 @@ func TestData(t *testing.T) {
assert.Equal(t, Value{F: 1024, U: "bytes"}, dataConverter.Convert(Value{F: 1, U: "kbytes"}, "bytes"))
// 1024 kbytes = 1 mbytes
assert.Equal(t, Value{F: 1, U: "mbytes"}, dataConverter.Convert(Value{F: 1024, U: "kbytes"}, "mbytes"))
assert.Equal(t, Value{F: 1, U: "MBy"}, dataConverter.Convert(Value{F: 1000, U: "kBy"}, "MBy"))
assert.Equal(t, Value{F: 1, U: "MBy"}, dataConverter.Convert(Value{F: 1024, U: "kbytes"}, "MBy"))
// 1 mbytes = 1024 * 1024 bytes
assert.Equal(t, Value{F: 1024 * 1024, U: "bytes"}, dataConverter.Convert(Value{F: 1, U: "mbytes"}, "bytes"))
// 1024 mbytes = 1 gbytes
@@ -45,90 +45,10 @@ func TestData(t *testing.T) {
assert.Equal(t, Value{F: 1024 * 1024 * 1024 * 1024, U: "bytes"}, dataConverter.Convert(Value{F: 1, U: "tbytes"}, "bytes"))
// 1024 tbytes = 1 pbytes
assert.Equal(t, Value{F: 1, U: "pbytes"}, dataConverter.Convert(Value{F: 1024, U: "tbytes"}, "pbytes"))
// 1024 tbytes = 1 PiBy
assert.Equal(t, Value{F: 1, U: "PiBy"}, dataConverter.Convert(Value{F: 1024, U: "tbytes"}, "PiBy"))
// 1024 tbytes = 1 pbytes
assert.Equal(t, Value{F: 1, U: "PBy"}, dataConverter.Convert(Value{F: 1024, U: "tbytes"}, "PBy"))
// 1 pbytes = 1024 tbytes
assert.Equal(t, Value{F: 1024, U: "tbytes"}, dataConverter.Convert(Value{F: 1, U: "pbytes"}, "tbytes"))
// 1024 TiBy = 1 pbytes
assert.Equal(t, Value{F: 1024, U: "TiBy"}, dataConverter.Convert(Value{F: 1, U: "pbytes"}, "TiBy"))
}
func TestDataConversionUCUMUnit(t *testing.T) {
dataConverter := NewDataConverter()
tests := []struct {
name string
input Value
toUnit Unit
expected Value
}{
// Bits to bytes
{name: "Bits to bytes: 8 bit = 1 By", input: Value{F: 8, U: "bit"}, toUnit: "By", expected: Value{F: 1, U: "By"}},
{name: "Byte to bits: 1 By = 8 bit", input: Value{F: 1, U: "By"}, toUnit: "bit", expected: Value{F: 8, U: "bit"}},
// Binary byte scaling
{name: "Binary byte scaling: 1024 By = 1 KiBy", input: Value{F: 1024, U: "By"}, toUnit: "KiBy", expected: Value{F: 1, U: "KiBy"}},
{name: "Kibibyte to bytes: 1 KiBy = 1024 By", input: Value{F: 1, U: "KiBy"}, toUnit: "By", expected: Value{F: 1024, U: "By"}},
{name: "Binary byte scaling: 1024 KiBy = 1 MiBy", input: Value{F: 1024, U: "KiBy"}, toUnit: "MiBy", expected: Value{F: 1, U: "MiBy"}},
{name: "Binary byte scaling: 1024 MiBy = 1 GiBy", input: Value{F: 1024, U: "MiBy"}, toUnit: "GiBy", expected: Value{F: 1, U: "GiBy"}},
{name: "Gibibyte to mebibyte: 1 GiBy = 1024 MiBy", input: Value{F: 1, U: "GiBy"}, toUnit: "MiBy", expected: Value{F: 1024, U: "MiBy"}},
{name: "Binary byte scaling: 1024 GiBy = 1 TiBy", input: Value{F: 1024, U: "GiBy"}, toUnit: "TiBy", expected: Value{F: 1, U: "TiBy"}},
{name: "Binary byte scaling: 1024 TiBy = 1 PiBy", input: Value{F: 1024, U: "TiBy"}, toUnit: "PiBy", expected: Value{F: 1, U: "PiBy"}},
{name: "Pebibyte to tebibyte: 1 PiBy = 1024 TiBy", input: Value{F: 1, U: "PiBy"}, toUnit: "TiBy", expected: Value{F: 1024, U: "TiBy"}},
{name: "Gibibyte to bytes: 1 GiBy = 1073741824 By", input: Value{F: 1, U: "GiBy"}, toUnit: "By", expected: Value{F: 1024 * 1024 * 1024, U: "By"}},
{name: "Tebibyte to bytes: 1 TiBy = 1099511627776 By", input: Value{F: 1, U: "TiBy"}, toUnit: "By", expected: Value{F: 1024 * 1024 * 1024 * 1024, U: "By"}},
// SI bit scaling
{name: "SI bit scaling: 1000 bit = 1 kbit", input: Value{F: 1000, U: "bit"}, toUnit: "kbit", expected: Value{F: 1, U: "kbit"}},
{name: "Kilobit to bits: 1 kbit = 1000 bit", input: Value{F: 1, U: "kbit"}, toUnit: "bit", expected: Value{F: 1000, U: "bit"}},
{name: "SI bit scaling: 1000 kbit = 1 Mbit", input: Value{F: 1000, U: "kbit"}, toUnit: "Mbit", expected: Value{F: 1, U: "Mbit"}},
{name: "Gigabit to bits: 1 Gbit = 1000000000 bit", input: Value{F: 1, U: "Gbit"}, toUnit: "bit", expected: Value{F: 1000 * 1000 * 1000, U: "bit"}},
{name: "SI bit scaling: 1000 Mbit = 1 Gbit", input: Value{F: 1000, U: "Mbit"}, toUnit: "Gbit", expected: Value{F: 1, U: "Gbit"}},
{name: "Gigabit to megabit: 1 Gbit = 1000 Mbit", input: Value{F: 1, U: "Gbit"}, toUnit: "Mbit", expected: Value{F: 1000, U: "Mbit"}},
{name: "SI bit scaling: 1000 Gbit = 1 Tbit", input: Value{F: 1000, U: "Gbit"}, toUnit: "Tbit", expected: Value{F: 1, U: "Tbit"}},
{name: "Terabit to gigabit: 1 Tbit = 1000 Gbit", input: Value{F: 1, U: "Tbit"}, toUnit: "Gbit", expected: Value{F: 1000, U: "Gbit"}},
{name: "SI bit scaling: 1000 Tbit = 1 Pbit", input: Value{F: 1000, U: "Tbit"}, toUnit: "Pbit", expected: Value{F: 1, U: "Pbit"}},
{name: "Petabit to terabit: 1 Pbit = 1000 Tbit", input: Value{F: 1, U: "Pbit"}, toUnit: "Tbit", expected: Value{F: 1000, U: "Tbit"}},
// Binary bit scaling
{name: "Binary bit scaling: 1024 bit = 1 Kibit", input: Value{F: 1024, U: "bit"}, toUnit: "Kibit", expected: Value{F: 1, U: "Kibit"}},
{name: "Kibibit to bits: 1 Kibit = 1024 bit", input: Value{F: 1, U: "Kibit"}, toUnit: "bit", expected: Value{F: 1024, U: "bit"}},
{name: "Binary bit scaling: 1024 Kibit = 1 Mibit", input: Value{F: 1024, U: "Kibit"}, toUnit: "Mibit", expected: Value{F: 1, U: "Mibit"}},
{name: "Mebibit to kibibit: 1 Mibit = 1024 Kibit", input: Value{F: 1, U: "Mibit"}, toUnit: "Kibit", expected: Value{F: 1024, U: "Kibit"}},
{name: "Binary bit scaling: 1024 Mibit = 1 Gibit", input: Value{F: 1024, U: "Mibit"}, toUnit: "Gibit", expected: Value{F: 1, U: "Gibit"}},
{name: "Gibibit to mebibit: 1 Gibit = 1024 Mibit", input: Value{F: 1, U: "Gibit"}, toUnit: "Mibit", expected: Value{F: 1024, U: "Mibit"}},
{name: "Binary bit scaling: 1024 Gibit = 1 Tibit", input: Value{F: 1024, U: "Gibit"}, toUnit: "Tibit", expected: Value{F: 1, U: "Tibit"}},
{name: "Tebibit to gibibit: 1 Tibit = 1024 Gibit", input: Value{F: 1, U: "Tibit"}, toUnit: "Gibit", expected: Value{F: 1024, U: "Gibit"}},
{name: "Binary bit scaling: 1024 Tibit = 1 Pibit", input: Value{F: 1024, U: "Tibit"}, toUnit: "Pibit", expected: Value{F: 1, U: "Pibit"}},
{name: "Pebibit to tebibit: 1 Pibit = 1024 Tibit", input: Value{F: 1, U: "Pibit"}, toUnit: "Tibit", expected: Value{F: 1024, U: "Tibit"}},
// Bytes to bits
{name: "Bytes to bits: 1 KiBy = 8 Kibit", input: Value{F: 1, U: "KiBy"}, toUnit: "Kibit", expected: Value{F: 8, U: "Kibit"}},
{name: "Bytes to bits: 1 MiBy = 8 Mibit", input: Value{F: 1, U: "MiBy"}, toUnit: "Mibit", expected: Value{F: 8, U: "Mibit"}},
{name: "Bytes to bits: 1 GiBy = 8 Gibit", input: Value{F: 1, U: "GiBy"}, toUnit: "Gibit", expected: Value{F: 8, U: "Gibit"}},
// SI byte scaling (Exa, Zetta, Yotta)
{name: "SI byte scaling: 1000 PBy = 1 EBy", input: Value{F: 1000, U: "PBy"}, toUnit: "EBy", expected: Value{F: 1, U: "EBy"}},
{name: "Exabyte to bytes: 1 EBy = 1e18 By", input: Value{F: 1, U: "EBy"}, toUnit: "By", expected: Value{F: 1e18, U: "By"}},
{name: "SI byte scaling: 1000 EBy = 1 ZBy", input: Value{F: 1000, U: "EBy"}, toUnit: "ZBy", expected: Value{F: 1, U: "ZBy"}},
{name: "Zettabyte to petabytes: 1 ZBy = 1000000 PBy", input: Value{F: 1, U: "ZBy"}, toUnit: "PBy", expected: Value{F: 1e6, U: "PBy"}},
{name: "SI byte scaling: 1000 ZBy = 1 YBy", input: Value{F: 1000, U: "ZBy"}, toUnit: "YBy", expected: Value{F: 1, U: "YBy"}},
{name: "Yottabyte to zettabyte: 1 YBy = 1000 ZBy", input: Value{F: 1, U: "YBy"}, toUnit: "ZBy", expected: Value{F: 1000, U: "ZBy"}},
// Binary byte scaling (Exbi, Zebi, Yobi)
{name: "Binary byte scaling: 1024 PiBy = 1 EiBy", input: Value{F: 1024, U: "PiBy"}, toUnit: "EiBy", expected: Value{F: 1, U: "EiBy"}},
{name: "Exbibyte to tebibytes: 1 EiBy = 1048576 TiBy", input: Value{F: 1, U: "EiBy"}, toUnit: "TiBy", expected: Value{F: 1024 * 1024, U: "TiBy"}},
{name: "Binary byte scaling: 1024 EiBy = 1 ZiBy", input: Value{F: 1024, U: "EiBy"}, toUnit: "ZiBy", expected: Value{F: 1, U: "ZiBy"}},
{name: "Zebibyte to exbibyte: 1 ZiBy = 1024 EiBy", input: Value{F: 1, U: "ZiBy"}, toUnit: "EiBy", expected: Value{F: 1024, U: "EiBy"}},
{name: "Binary byte scaling: 1024 ZiBy = 1 YiBy", input: Value{F: 1024, U: "ZiBy"}, toUnit: "YiBy", expected: Value{F: 1, U: "YiBy"}},
{name: "Yobibyte to zebibyte: 1 YiBy = 1024 ZiBy", input: Value{F: 1, U: "YiBy"}, toUnit: "ZiBy", expected: Value{F: 1024, U: "ZiBy"}},
// SI bit scaling (Exa, Zetta, Yotta)
{name: "SI bit scaling: 1000 Pbit = 1 Ebit", input: Value{F: 1000, U: "Pbit"}, toUnit: "Ebit", expected: Value{F: 1, U: "Ebit"}},
{name: "Exabit to gigabits: 1 Ebit = 1e9 Gbit", input: Value{F: 1, U: "Ebit"}, toUnit: "Gbit", expected: Value{F: 1e9, U: "Gbit"}},
{name: "SI bit scaling: 1000 Ebit = 1 Zbit", input: Value{F: 1000, U: "Ebit"}, toUnit: "Zbit", expected: Value{F: 1, U: "Zbit"}},
{name: "Zettabit to exabit: 1 Zbit = 1000 Ebit", input: Value{F: 1, U: "Zbit"}, toUnit: "Ebit", expected: Value{F: 1000, U: "Ebit"}},
{name: "SI bit scaling: 1000 Zbit = 1 Ybit", input: Value{F: 1000, U: "Zbit"}, toUnit: "Ybit", expected: Value{F: 1, U: "Ybit"}},
{name: "Yottabit to zettabit: 1 Ybit = 1000 Zbit", input: Value{F: 1, U: "Ybit"}, toUnit: "Zbit", expected: Value{F: 1000, U: "Zbit"}},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := dataConverter.Convert(tt.input, tt.toUnit)
assert.Equal(t, tt.expected, got)
})
}
// 1024 pbytes = 1 tbytes
assert.Equal(t, Value{F: 1024, U: "TBy"}, dataConverter.Convert(Value{F: 1, U: "pbytes"}, "TBy"))
}

View File

@@ -47,7 +47,7 @@ func FromTimeUnit(u Unit) Duration {
return Hour
case "d":
return Day
case "w", "wk":
case "w":
return Week
default:
return Second

View File

@@ -54,13 +54,4 @@ func TestDurationConvert(t *testing.T) {
assert.Equal(t, Value{F: 1, U: "ms"}, timeConverter.Convert(Value{F: 1000, U: "us"}, "ms"))
// 1000000000 ns = 1 s
assert.Equal(t, Value{F: 1, U: "s"}, timeConverter.Convert(Value{F: 1000000000, U: "ns"}, "s"))
// 7 d = 1 wk
assert.Equal(t, Value{F: 1, U: "wk"}, timeConverter.Convert(Value{F: 7, U: "d"}, "wk"))
// 1 wk = 7 d
assert.Equal(t, Value{F: 7, U: "d"}, timeConverter.Convert(Value{F: 1, U: "wk"}, "d"))
// 1 wk = 168 h
assert.Equal(t, Value{F: 168, U: "h"}, timeConverter.Convert(Value{F: 1, U: "wk"}, "h"))
// 604800 s = 1 wk
assert.Equal(t, Value{F: 1, U: "wk"}, timeConverter.Convert(Value{F: 604800, U: "s"}, "wk"))
}

View File

@@ -24,50 +24,30 @@ func (f *dataFormatter) Format(value float64, unit string) string {
return humanize.IBytes(uint64(value))
case "decbytes":
return humanize.Bytes(uint64(value))
case "kbytes", "KiBy":
case "bits":
return humanize.IBytes(uint64(value * converter.Bit))
case "decbits":
return humanize.Bytes(uint64(value * converter.Bit))
case "kbytes", "kBy":
return humanize.IBytes(uint64(value * converter.Kibibit))
case "Kibit":
return humanize.IBytes(uint64(value * converter.Kibibit / 8))
case "decKbytes", "deckbytes", "kBy":
return humanize.Bytes(uint64(value * converter.Kilobit))
case "kbit":
return humanize.Bytes(uint64(value * converter.Kilobit / 8))
case "mbytes", "MiBy":
case "decKbytes", "deckbytes":
return humanize.IBytes(uint64(value * converter.Kilobit))
case "mbytes", "MBy":
return humanize.IBytes(uint64(value * converter.Mebibit))
case "Mibit":
return humanize.IBytes(uint64(value * converter.Mebibit / 8))
case "decMbytes", "decmbytes", "MBy":
case "decMbytes", "decmbytes":
return humanize.Bytes(uint64(value * converter.Megabit))
case "Mbit":
return humanize.Bytes(uint64(value * converter.Megabit / 8))
case "gbytes", "GiBy":
case "gbytes", "GBy":
return humanize.IBytes(uint64(value * converter.Gibibit))
case "Gibit":
return humanize.IBytes(uint64(value * converter.Gibibit / 8))
case "decGbytes", "decgbytes", "GBy":
case "decGbytes", "decgbytes":
return humanize.Bytes(uint64(value * converter.Gigabit))
case "Gbit":
return humanize.Bytes(uint64(value * converter.Gigabit / 8))
case "tbytes", "TiBy":
case "tbytes", "TBy":
return humanize.IBytes(uint64(value * converter.Tebibit))
case "Tibit":
return humanize.IBytes(uint64(value * converter.Tebibit / 8))
case "decTbytes", "dectbytes", "TBy":
case "decTbytes", "dectbytes":
return humanize.Bytes(uint64(value * converter.Terabit))
case "Tbit":
return humanize.Bytes(uint64(value * converter.Terabit / 8))
case "pbytes", "PiBy":
case "pbytes", "PBy":
return humanize.IBytes(uint64(value * converter.Pebibit))
case "Pbit":
return humanize.Bytes(uint64(value * converter.Petabit / 8))
case "decPbytes", "decpbytes", "PBy":
case "decPbytes", "decpbytes":
return humanize.Bytes(uint64(value * converter.Petabit))
case "EiBy":
return humanize.IBytes(uint64(value * converter.Exbibit))
case "Ebit":
return humanize.Bytes(uint64(value * converter.Exabit / 8))
case "EBy":
return humanize.Bytes(uint64(value * converter.Exabit))
}
// When unit is not matched, return the value as it is.
return fmt.Sprintf("%v", value)

View File

@@ -24,55 +24,50 @@ func (f *dataRateFormatter) Format(value float64, unit string) string {
return humanize.IBytes(uint64(value)) + "/s"
case "Bps", "By/s":
return humanize.Bytes(uint64(value)) + "/s"
case "KiBs", "KiBy/s":
case "binbps":
return humanize.IBytes(uint64(value*converter.BitPerSecond)) + "/s"
case "bps", "bit/s":
return humanize.Bytes(uint64(value*converter.BitPerSecond)) + "/s"
case "KiBs":
return humanize.IBytes(uint64(value*converter.KibibitPerSecond)) + "/s"
case "Kibits", "Kibit/s":
return humanize.IBytes(uint64(value*converter.KibibitPerSecond/8)) + "/s"
case "Kibits":
return humanize.IBytes(uint64(value*converter.KibibytePerSecond)) + "/s"
case "KBs", "kBy/s":
return humanize.IBytes(uint64(value*converter.KilobitPerSecond)) + "/s"
case "Kbits", "kbit/s":
return humanize.Bytes(uint64(value*converter.KilobitPerSecond/8)) + "/s"
case "MiBs", "MiBy/s":
return humanize.IBytes(uint64(value*converter.KilobytePerSecond)) + "/s"
case "MiBs":
return humanize.IBytes(uint64(value*converter.MebibitPerSecond)) + "/s"
case "Mibits", "Mibit/s":
return humanize.IBytes(uint64(value*converter.MebibitPerSecond/8)) + "/s"
case "Mibits":
return humanize.IBytes(uint64(value*converter.MebibytePerSecond)) + "/s"
case "MBs", "MBy/s":
return humanize.IBytes(uint64(value*converter.MegabitPerSecond)) + "/s"
case "Mbits", "Mbit/s":
return humanize.Bytes(uint64(value*converter.MegabitPerSecond/8)) + "/s"
case "GiBs", "GiBy/s":
return humanize.IBytes(uint64(value*converter.MegabytePerSecond)) + "/s"
case "GiBs":
return humanize.IBytes(uint64(value*converter.GibibitPerSecond)) + "/s"
case "Gibits", "Gibit/s":
return humanize.IBytes(uint64(value*converter.GibibitPerSecond/8)) + "/s"
case "Gibits":
return humanize.IBytes(uint64(value*converter.GibibytePerSecond)) + "/s"
case "GBs", "GBy/s":
return humanize.IBytes(uint64(value*converter.GigabitPerSecond)) + "/s"
case "Gbits", "Gbit/s":
return humanize.Bytes(uint64(value*converter.GigabitPerSecond/8)) + "/s"
case "TiBs", "TiBy/s":
return humanize.IBytes(uint64(value*converter.GigabytePerSecond)) + "/s"
case "TiBs":
return humanize.IBytes(uint64(value*converter.TebibitPerSecond)) + "/s"
case "Tibits", "Tibit/s":
return humanize.IBytes(uint64(value*converter.TebibitPerSecond/8)) + "/s"
case "Tibits":
return humanize.IBytes(uint64(value*converter.TebibytePerSecond)) + "/s"
case "TBs", "TBy/s":
return humanize.IBytes(uint64(value*converter.TerabitPerSecond)) + "/s"
case "Tbits", "Tbit/s":
return humanize.Bytes(uint64(value*converter.TerabitPerSecond/8)) + "/s"
case "PiBs", "PiBy/s":
return humanize.IBytes(uint64(value*converter.TerabytePerSecond)) + "/s"
case "PiBs":
return humanize.IBytes(uint64(value*converter.PebibitPerSecond)) + "/s"
case "Pibits", "Pibit/s":
return humanize.IBytes(uint64(value*converter.PebibitPerSecond/8)) + "/s"
case "Pibits":
return humanize.IBytes(uint64(value*converter.PebibytePerSecond)) + "/s"
case "PBs", "PBy/s":
return humanize.IBytes(uint64(value*converter.PetabitPerSecond)) + "/s"
case "Pbits", "Pbit/s":
return humanize.Bytes(uint64(value*converter.PetabitPerSecond/8)) + "/s"
// Exa units
case "EBy/s":
return humanize.Bytes(uint64(value*converter.ExabitPerSecond)) + "/s"
case "Ebit/s":
return humanize.Bytes(uint64(value*converter.ExabitPerSecond/8)) + "/s"
case "EiBy/s":
return humanize.IBytes(uint64(value*converter.ExbibitPerSecond)) + "/s"
case "Eibit/s":
return humanize.IBytes(uint64(value*converter.ExbibitPerSecond/8)) + "/s"
return humanize.IBytes(uint64(value*converter.PetabytePerSecond)) + "/s"
}
// When unit is not matched, return the value as it is.
return fmt.Sprintf("%v", value)

View File

@@ -1,140 +0,0 @@
package formatter
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestDataRateFormatterComprehensive(t *testing.T) {
dataRateFormatter := NewDataRateFormatter()
tests := []struct {
name string
value float64
unit string
expected string
}{
// IEC Base bytes/sec - binBps
{name: "binBps as Bps", value: 0, unit: "binBps", expected: "0 B/s"},
{name: "1 binBps as 1 Bps", value: 1, unit: "binBps", expected: "1 B/s"},
{name: "binBps as Kibps", value: 1024, unit: "binBps", expected: "1.0 KiB/s"},
{name: "binBps as Mibps", value: 1024 * 1024, unit: "binBps", expected: "1.0 MiB/s"},
{name: "binBps as Gibps", value: 1024 * 1024 * 1024, unit: "binBps", expected: "1.0 GiB/s"},
// SI Base bytes/sec - Bps, By/s
{name: "Bps as Bps", value: 1, unit: "Bps", expected: "1 B/s"},
{name: "Bps as kbps", value: 1000, unit: "Bps", expected: "1.0 kB/s"},
{name: "Bps as Mbps", value: 1000 * 1000, unit: "Bps", expected: "1.0 MB/s"},
{name: "Byps as kbps", value: 1000, unit: "By/s", expected: "1.0 kB/s"},
// Kibibytes/sec - KiBs, KiBy/s
{name: "Kibs as Bps", value: 0, unit: "KiBs", expected: "0 B/s"},
{name: "Kibs as Kibps", value: 1, unit: "KiBs", expected: "1.0 KiB/s"},
{name: "Kibs as Mibps", value: 1024, unit: "KiBs", expected: "1.0 MiB/s"},
{name: "Kibs as Gibps", value: 3 * 1024 * 1024, unit: "KiBs", expected: "3.0 GiB/s"},
{name: "KiByps as Kibps", value: 1, unit: "KiBy/s", expected: "1.0 KiB/s"},
{name: "KiByps as Mibps", value: 1024, unit: "KiBy/s", expected: "1.0 MiB/s"},
// Kibibits/sec - Kibits, Kibit/s
{name: "Kibitps as Kibps", value: 1, unit: "Kibits", expected: "128 B/s"},
{name: "Kibitps as Mibps", value: 42 * 1024, unit: "Kibits", expected: "5.3 MiB/s"},
{name: "Kibitps as Kibps 10", value: 10, unit: "Kibit/s", expected: "1.3 KiB/s"},
// Kilobytes/sec (SI) - KBs, kBy/s
{name: "Kbs as Bps", value: 0.5, unit: "KBs", expected: "500 B/s"},
{name: "Kbs as Mibps", value: 1048.6, unit: "KBs", expected: "1.0 MiB/s"},
{name: "kByps as Bps", value: 1, unit: "kBy/s", expected: "1000 B/s"},
// Kilobits/sec (SI) - Kbits, kbit/s
{name: "Kbitps as Bps", value: 1, unit: "Kbits", expected: "125 B/s"},
{name: "kbitps as Bps", value: 1, unit: "kbit/s", expected: "125 B/s"},
// Mebibytes/sec - MiBs, MiBy/s
{name: "Mibs as Mibps", value: 1, unit: "MiBs", expected: "1.0 MiB/s"},
{name: "Mibs as Gibps", value: 1024, unit: "MiBs", expected: "1.0 GiB/s"},
{name: "Mibs as Tibps", value: 1024 * 1024, unit: "MiBs", expected: "1.0 TiB/s"},
{name: "MiByps as Mibps", value: 1, unit: "MiBy/s", expected: "1.0 MiB/s"},
// Mebibits/sec - Mibits, Mibit/s
{name: "Mibitps as Mibps", value: 40, unit: "Mibits", expected: "5.0 MiB/s"},
{name: "Mibitps as Mibps per second variant", value: 10, unit: "Mibit/s", expected: "1.3 MiB/s"},
// Megabytes/sec (SI) - MBs, MBy/s
{name: "Mbs as Kibps", value: 1, unit: "MBs", expected: "977 KiB/s"},
{name: "MByps as Kibps", value: 1, unit: "MBy/s", expected: "977 KiB/s"},
// Megabits/sec (SI) - Mbits, Mbit/s
{name: "Mbitps as Kibps", value: 1, unit: "Mbits", expected: "125 kB/s"},
{name: "Mbitps as Kibps per second variant", value: 1, unit: "Mbit/s", expected: "125 kB/s"},
// Gibibytes/sec - GiBs, GiBy/s
{name: "Gibs as Gibps", value: 1, unit: "GiBs", expected: "1.0 GiB/s"},
{name: "Gibs as Tibps", value: 1024, unit: "GiBs", expected: "1.0 TiB/s"},
{name: "GiByps as Tibps", value: 42 * 1024, unit: "GiBy/s", expected: "42 TiB/s"},
// Gibibits/sec - Gibits, Gibit/s
{name: "Gibitps as Tibps", value: 42 * 1024, unit: "Gibits", expected: "5.3 TiB/s"},
{name: "Gibitps as Tibps per second variant", value: 42 * 1024, unit: "Gibit/s", expected: "5.3 TiB/s"},
// Gigabytes/sec (SI) - GBs, GBy/s
{name: "Gbs as Tibps", value: 42 * 1000, unit: "GBs", expected: "38 TiB/s"},
{name: "GByps as Tibps", value: 42 * 1000, unit: "GBy/s", expected: "38 TiB/s"},
// Gigabits/sec (SI) - Gbits, Gbit/s
{name: "Gbitps as Tibps", value: 42 * 1000, unit: "Gbits", expected: "5.3 TB/s"},
{name: "Gbitps as Tibps per second variant", value: 42 * 1000, unit: "Gbit/s", expected: "5.3 TB/s"},
// Tebibytes/sec - TiBs, TiBy/s
{name: "Tibs as Tibps", value: 1, unit: "TiBs", expected: "1.0 TiB/s"},
{name: "Tibs as Pibps", value: 1024, unit: "TiBs", expected: "1.0 PiB/s"},
{name: "TiByps as Pibps", value: 42 * 1024, unit: "TiBy/s", expected: "42 PiB/s"},
// Tebibits/sec - Tibits, Tibit/s
{name: "Tibitps as Pibps", value: 42 * 1024, unit: "Tibits", expected: "5.3 PiB/s"},
{name: "Tibitps as Pibps per second variant", value: 42 * 1024, unit: "Tibit/s", expected: "5.3 PiB/s"},
// Terabytes/sec (SI) - TBs, TBy/s
{name: "Tbs as Pibps", value: 42 * 1000, unit: "TBs", expected: "37 PiB/s"},
{name: "TByps as Pibps", value: 42 * 1000, unit: "TBy/s", expected: "37 PiB/s"},
// Terabits/sec (SI) - Tbits, Tbit/s
{name: "Tbitps as Pibps", value: 42 * 1000, unit: "Tbits", expected: "5.3 PB/s"},
{name: "Tbitps as Pibps per second variant", value: 42 * 1000, unit: "Tbit/s", expected: "5.3 PB/s"},
// Pebibytes/sec - PiBs, PiBy/s
{name: "Pibs as Eibps", value: 10 * 1024, unit: "PiBs", expected: "10 EiB/s"},
{name: "PiByps as Eibps", value: 10 * 1024, unit: "PiBy/s", expected: "10 EiB/s"},
// Pebibits/sec - Pibits, Pibit/s
{name: "Pibitps as Eibps", value: 10 * 1024, unit: "Pibits", expected: "1.3 EiB/s"},
{name: "Pibitps as Eibps per second variant", value: 10 * 1024, unit: "Pibit/s", expected: "1.3 EiB/s"},
// Petabytes/sec (SI) - PBs, PBy/s
{name: "Pbs as Pibps", value: 42, unit: "PBs", expected: "37 PiB/s"},
{name: "PByps as Pibps", value: 42, unit: "PBy/s", expected: "37 PiB/s"},
// Petabits/sec (SI) - Pbits, Pbit/s
{name: "Pbitps as Pibps", value: 42, unit: "Pbits", expected: "5.3 PB/s"},
{name: "Pbitps as Pibps per second variant", value: 42, unit: "Pbit/s", expected: "5.3 PB/s"},
// Exabytes/sec (SI) - EBy/s
{name: "EByps as Ebps", value: 10, unit: "EBy/s", expected: "10 EB/s"},
// Exabits/sec (SI) - Ebit/s
{name: "Ebitps as Ebps", value: 10, unit: "Ebit/s", expected: "1.3 EB/s"},
// Exbibytes/sec (IEC) - EiBy/s
{name: "EiByps as Eibps", value: 10, unit: "EiBy/s", expected: "10 EiB/s"},
// Exbibits/sec (IEC) - Eibit/s
{name: "Eibitps as Eibps", value: 10, unit: "Eibit/s", expected: "1.3 EiB/s"},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := dataRateFormatter.Format(tt.value, tt.unit)
assert.Equal(t, tt.expected, got)
})
}
}

View File

@@ -14,164 +14,21 @@ func TestData(t *testing.T) {
assert.Equal(t, "1.0 KiB", dataFormatter.Format(1024, "bytes"))
assert.Equal(t, "1.0 KiB", dataFormatter.Format(1024, "By"))
assert.Equal(t, "2.3 GiB", dataFormatter.Format(2.3*1024, "mbytes"))
assert.Equal(t, "2.3 GiB", dataFormatter.Format(2.3*1024, "MiBy"))
assert.Equal(t, "2.3 GiB", dataFormatter.Format(2.3*1024, "MBy"))
assert.Equal(t, "1.0 MiB", dataFormatter.Format(1024*1024, "bytes"))
assert.Equal(t, "1.0 MiB", dataFormatter.Format(1024*1024, "By"))
assert.Equal(t, "69 TiB", dataFormatter.Format(69*1024*1024, "mbytes"))
assert.Equal(t, "69 TiB", dataFormatter.Format(69*1024*1024, "MiBy"))
assert.Equal(t, "69 TiB", dataFormatter.Format(69*1024*1024, "MBy"))
assert.Equal(t, "102 KiB", dataFormatter.Format(102*1024, "bytes"))
assert.Equal(t, "102 KiB", dataFormatter.Format(102*1024, "By"))
assert.Equal(t, "240 MiB", dataFormatter.Format(240*1024, "kbytes"))
assert.Equal(t, "240 MiB", dataFormatter.Format(240*1024, "KiBy"))
assert.Equal(t, "240 MiB", dataFormatter.Format(240*1024, "kBy"))
assert.Equal(t, "1.0 GiB", dataFormatter.Format(1024*1024, "kbytes"))
assert.Equal(t, "1.0 GiB", dataFormatter.Format(1024*1024, "KiBy"))
assert.Equal(t, "1.0 GiB", dataFormatter.Format(1024*1024, "kBy"))
assert.Equal(t, "23 GiB", dataFormatter.Format(23*1024*1024, "kbytes"))
assert.Equal(t, "23 GiB", dataFormatter.Format(23*1024*1024, "KiBy"))
assert.Equal(t, "23 GiB", dataFormatter.Format(23*1024*1024, "kBy"))
assert.Equal(t, "32 TiB", dataFormatter.Format(32*1024*1024*1024, "kbytes"))
assert.Equal(t, "32 TiB", dataFormatter.Format(32*1024*1024*1024, "KiBy"))
assert.Equal(t, "32 TiB", dataFormatter.Format(32*1024*1024*1024, "kBy"))
assert.Equal(t, "24 MiB", dataFormatter.Format(24, "mbytes"))
assert.Equal(t, "24 MiB", dataFormatter.Format(24, "MiBy"))
}
func TestDataFormatterComprehensive(t *testing.T) {
dataFormatter := NewDataFormatter()
tests := []struct {
name string
value float64
unit string
expected string
}{
// IEC Base bytes - bytes, By
{name: "bytes: 0", value: 0, unit: "bytes", expected: "0 B"},
{name: "bytes: 1", value: 1, unit: "bytes", expected: "1 B"},
{name: "bytes: 512", value: 512, unit: "bytes", expected: "512 B"},
{name: "bytes: 1023", value: 1023, unit: "bytes", expected: "1023 B"},
{name: "bytes: 1024 = 1 KiB", value: 1024, unit: "bytes", expected: "1.0 KiB"},
{name: "bytes: 1536", value: 1536, unit: "bytes", expected: "1.5 KiB"},
{name: "bytes: 1024*1024 = 1 MiB", value: 1024 * 1024, unit: "bytes", expected: "1.0 MiB"},
{name: "bytes: 1024*1024*1024 = 1 GiB", value: 1024 * 1024 * 1024, unit: "bytes", expected: "1.0 GiB"},
{name: "By: same as bytes", value: 1024, unit: "By", expected: "1.0 KiB"},
// SI Base bytes - decbytes
{name: "decbytes: 1", value: 1, unit: "decbytes", expected: "1 B"},
{name: "decbytes: 1000 = 1 kB", value: 1000, unit: "decbytes", expected: "1.0 kB"},
{name: "decbytes: 1000*1000 = 1 MB", value: 1000 * 1000, unit: "decbytes", expected: "1.0 MB"},
{name: "decbytes: 1000*1000*1000 = 1 GB", value: 1000 * 1000 * 1000, unit: "decbytes", expected: "1.0 GB"},
// Kibibytes - kbytes, KiBy (IEC)
{name: "kbytes: 0", value: 0, unit: "kbytes", expected: "0 B"},
{name: "kbytes: 1 = 1 KiB", value: 1, unit: "kbytes", expected: "1.0 KiB"},
{name: "kbytes: 512", value: 512, unit: "kbytes", expected: "512 KiB"},
{name: "kbytes: 1024 = 1 MiB", value: 1024, unit: "kbytes", expected: "1.0 MiB"},
{name: "kbytes: 1024*1024 = 1 GiB", value: 1024 * 1024, unit: "kbytes", expected: "1.0 GiB"},
{name: "kbytes: 2.3*1024 = 2.3 MiB", value: 2.3 * 1024, unit: "kbytes", expected: "2.3 MiB"},
{name: "KiBy: 1 = 1 KiB", value: 1, unit: "KiBy", expected: "1.0 KiB"},
{name: "KiBy: 1024 = 1 MiB", value: 1024, unit: "KiBy", expected: "1.0 MiB"},
{name: "kbytes and KiBy alias", value: 240 * 1024, unit: "KiBy", expected: "240 MiB"},
// SI Kilobytes - decKbytes, deckbytes, kBy
{name: "decKbytes: 1 = 1 kB", value: 1, unit: "decKbytes", expected: "1.0 kB"},
{name: "decKbytes: 1000 = 1 MB", value: 1000, unit: "decKbytes", expected: "1.0 MB"},
{name: "deckbytes: 1 = 1 kB", value: 1, unit: "deckbytes", expected: "1.0 kB"},
{name: "kBy: 1 = 1 kB", value: 1, unit: "kBy", expected: "1.0 kB"},
{name: "kBy: 1000 = 1 MB", value: 1000, unit: "kBy", expected: "1.0 MB"},
// Mebibytes - mbytes, MiBy (IEC)
{name: "mbytes: 1 = 1 MiB", value: 1, unit: "mbytes", expected: "1.0 MiB"},
{name: "mbytes: 24", value: 24, unit: "mbytes", expected: "24 MiB"},
{name: "mbytes: 1024 = 1 GiB", value: 1024, unit: "mbytes", expected: "1.0 GiB"},
{name: "mbytes: 1024*1024 = 1 TiB", value: 1024 * 1024, unit: "mbytes", expected: "1.0 TiB"},
{name: "mbytes: 69*1024 = 69 GiB", value: 69 * 1024, unit: "mbytes", expected: "69 GiB"},
{name: "mbytes: 69*1024*1024 = 69 TiB", value: 69 * 1024 * 1024, unit: "mbytes", expected: "69 TiB"},
{name: "MiBy: 1 = 1 MiB", value: 1, unit: "MiBy", expected: "1.0 MiB"},
{name: "MiBy: 1024 = 1 GiB", value: 1024, unit: "MiBy", expected: "1.0 GiB"},
// SI Megabytes - decMbytes, decmbytes, MBy
{name: "decMbytes: 1 = 1 MB", value: 1, unit: "decMbytes", expected: "1.0 MB"},
{name: "decMbytes: 1000 = 1 GB", value: 1000, unit: "decMbytes", expected: "1.0 GB"},
{name: "decmbytes: 1 = 1 MB", value: 1, unit: "decmbytes", expected: "1.0 MB"},
{name: "MBy: 1 = 1 MB", value: 1, unit: "MBy", expected: "1.0 MB"},
// Gibibytes - gbytes, GiBy (IEC)
{name: "gbytes: 1 = 1 GiB", value: 1, unit: "gbytes", expected: "1.0 GiB"},
{name: "gbytes: 1024 = 1 TiB", value: 1024, unit: "gbytes", expected: "1.0 TiB"},
{name: "GiBy: 42*1024 = 42 TiB", value: 42 * 1024, unit: "GiBy", expected: "42 TiB"},
// SI Gigabytes - decGbytes, decgbytes, GBy
{name: "decGbytes: 42*1000 = 42 TB", value: 42 * 1000, unit: "decGbytes", expected: "42 TB"},
{name: "GBy: 42*1000 = 42 TB", value: 42 * 1000, unit: "GBy", expected: "42 TB"},
// Tebibytes - tbytes, TiBy (IEC)
{name: "tbytes: 1 = 1 TiB", value: 1, unit: "tbytes", expected: "1.0 TiB"},
{name: "tbytes: 1024 = 1 PiB", value: 1024, unit: "tbytes", expected: "1.0 PiB"},
{name: "TiBy: 42*1024 = 42 PiB", value: 42 * 1024, unit: "TiBy", expected: "42 PiB"},
// SI Terabytes - decTbytes, dectbytes, TBy
{name: "decTbytes: 42*1000 = 42 PB", value: 42 * 1000, unit: "decTbytes", expected: "42 PB"},
{name: "dectbytes: 42*1000 = 42 PB", value: 42 * 1000, unit: "dectbytes", expected: "42 PB"},
{name: "TBy: 42*1000 = 42 PB", value: 42 * 1000, unit: "TBy", expected: "42 PB"},
// Pebibytes - pbytes, PiBy (IEC)
{name: "pbytes: 10*1024 = 10 EiB", value: 10 * 1024, unit: "pbytes", expected: "10 EiB"},
{name: "PiBy: 10*1024 = 10 EiB", value: 10 * 1024, unit: "PiBy", expected: "10 EiB"},
// SI Petabytes - decPbytes, decpbytes, PBy
{name: "decPbytes: 42 = 42 PB", value: 42, unit: "decPbytes", expected: "42 PB"},
{name: "decpbytes: 42 = 42 PB", value: 42, unit: "decpbytes", expected: "42 PB"},
{name: "PBy: 42 = 42 PB", value: 42, unit: "PBy", expected: "42 PB"},
// Exbibytes - EiBy (IEC)
{name: "EiBy: 10 = 10 EiB", value: 10, unit: "EiBy", expected: "10 EiB"},
// Exabytes - EBy (SI)
{name: "EBy: 10 = 10 EB", value: 10, unit: "EBy", expected: "10 EB"},
// Kibibits - Kibit (IEC): 1 Kibit = 1024 bits = 128 bytes
{name: "Kibit: 1 = 128 B", value: 1, unit: "Kibit", expected: "128 B"},
{name: "Kibit: 1024 = 128 KiB", value: 1024, unit: "Kibit", expected: "128 KiB"},
// Mebibits - Mibit (IEC): 1 Mibit = 1024 Kibit = 128 KiB
{name: "Mibit: 1 = 128 KiB", value: 1, unit: "Mibit", expected: "128 KiB"},
{name: "Mibit: 1024 = 128 MiB", value: 1024, unit: "Mibit", expected: "128 MiB"},
// Gibibits - Gibit (IEC): 1 Gibit = 1024 Mibit = 128 MiB
{name: "Gibit: 1 = 128 MiB", value: 1, unit: "Gibit", expected: "128 MiB"},
{name: "Gibit: 42*1024 = 5.3 TiB", value: 42 * 1024, unit: "Gibit", expected: "5.3 TiB"},
// Tebibits - Tibit (IEC): 1 Tibit = 1024 Gibit = 128 GiB
{name: "Tibit: 1 = 128 GiB", value: 1, unit: "Tibit", expected: "128 GiB"},
{name: "Tibit: 42*1024 = 5.3 PiB", value: 42 * 1024, unit: "Tibit", expected: "5.3 PiB"},
// Kilobits - kbit (SI): 1 kbit = 1000 bits = 125 bytes
{name: "kbit: 1 = 125 B", value: 1, unit: "kbit", expected: "125 B"},
{name: "kbit: 1000 = 125 kB", value: 1000, unit: "kbit", expected: "125 kB"},
// Megabits - Mbit (SI): 1 Mbit = 1000 kbit = 125 kB
{name: "Mbit: 1 = 125 kB", value: 1, unit: "Mbit", expected: "125 kB"},
{name: "Mbit: 1000 = 125 MB", value: 1000, unit: "Mbit", expected: "125 MB"},
// Gigabits - Gbit (SI): 1 Gbit = 1000 Mbit = 125 MB
{name: "Gbit: 1 = 125 MB", value: 1, unit: "Gbit", expected: "125 MB"},
{name: "Gbit: 42*1000 = 5.3 TB", value: 42 * 1000, unit: "Gbit", expected: "5.3 TB"},
// Terabits - Tbit (SI): 1 Tbit = 1000 Gbit = 125 GB
{name: "Tbit: 1 = 125 GB", value: 1, unit: "Tbit", expected: "125 GB"},
{name: "Tbit: 42*1000 = 5.3 PB", value: 42 * 1000, unit: "Tbit", expected: "5.3 PB"},
// Petabits - Pbit (SI): 1 Pbit = 1000 Tbit = 125 TB
{name: "Pbit: 1 = 125 TB", value: 1, unit: "Pbit", expected: "125 TB"},
{name: "Pbit: 42 = 5.3 PB", value: 42, unit: "Pbit", expected: "5.3 PB"},
// Exabits - Ebit (SI): 1 Ebit = 1000 Pbit = 125 PB
{name: "Ebit: 1 = 125 PB", value: 1, unit: "Ebit", expected: "125 PB"},
{name: "Ebit: 10 = 1.3 EB", value: 10, unit: "Ebit", expected: "1.3 EB"},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := dataFormatter.Format(tt.value, tt.unit)
assert.Equal(t, tt.expected, got)
})
}
assert.Equal(t, "24 MiB", dataFormatter.Format(24, "MBy"))
}

View File

@@ -18,11 +18,11 @@ var (
func FromUnit(u string) Formatter {
switch u {
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min", "w", "wk":
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min":
return DurationFormatter
case "bytes", "decbytes", "bits", "bit", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy", "EBy", "KiBy", "MiBy", "GiBy", "TiBy", "PiBy", "EiBy", "kbit", "Mbit", "Gbit", "Tbit", "Pbit", "Ebit", "Kibit", "Mibit", "Gibit", "Tibit", "Pibit":
case "bytes", "decbytes", "bits", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy":
return DataFormatter
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "EBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s", "Ebit/s", "KiBy/s", "MiBy/s", "GiBy/s", "TiBy/s", "PiBy/s", "EiBy/s", "Kibit/s", "Mibit/s", "Gibit/s", "Tibit/s", "Pibit/s", "Eibit/s":
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s":
return DataRateFormatter
case "percent", "percentunit", "%":
return PercentFormatter

View File

@@ -32,7 +32,7 @@ func (f *durationFormatter) Format(value float64, unit string) string {
return toHours(value)
case "d":
return toDays(value)
case "w", "wk":
case "w":
return toWeeks(value)
}
// When unit is not matched, return the value as it is.

View File

@@ -265,46 +265,6 @@ func TestBasicRuleThresholdEval_UnitConversion(t *testing.T) {
ruleUnit: "",
shouldAlert: true,
},
// bytes and Gibibytes,
// rule will only fire if target is converted to bytes so that the sample value becomes lower than the target 100GiBy
{
name: "bytes to Gibibytes - should alert",
threshold: BasicRuleThreshold{
Name: CriticalThresholdName,
TargetValue: &target, // 100 Gibibytes
TargetUnit: "GiBy",
MatchType: AtleastOnce,
CompareOp: ValueIsBelow,
},
series: v3.Series{
Labels: map[string]string{"service": "test"},
Points: []v3.Point{
{Value: 70 * 1024 * 1024 * 1024, Timestamp: 1000}, // 70 Gibibytes
},
},
ruleUnit: "bytes",
shouldAlert: true,
},
// data Rate conversion - bytes per second to MiB per second
// rule will only fire if target is converted to bytes so that the sample value becomes lower than the target 100 MiB/s
{
name: "bytes per second to MiB per second - should alert",
threshold: BasicRuleThreshold{
Name: CriticalThresholdName,
TargetValue: &target, // 100 MiB/s
TargetUnit: "MiBy/s",
MatchType: AtleastOnce,
CompareOp: ValueIsBelow,
},
series: v3.Series{
Labels: map[string]string{"service": "test"},
Points: []v3.Point{
{Value: 30 * 1024 * 1024, Timestamp: 1000}, // 30 MiB/s
},
},
ruleUnit: "By/s",
shouldAlert: true,
},
}
for _, tt := range tests {

View File

@@ -112,7 +112,7 @@ def verify_webhook_alert_expectation(
break
# wait for some time before checking again
time.sleep(1)
time.sleep(10)
# We've waited but we didn't get the expected number of alerts
@@ -133,15 +133,3 @@ def verify_webhook_alert_expectation(
)
return True # should not reach here
def update_rule_channel_name(rule_data: dict, channel_name: str):
"""
updates the channel name in the thresholds
so alert notification are sent to the given channel
"""
thresholds = rule_data["condition"]["thresholds"]
if "kind" in thresholds and thresholds["kind"] == "basic":
# loop over all the sepcs and update the channels
for spec in thresholds["spec"]:
spec["channels"] = [channel_name]

View File

@@ -1,18 +1,16 @@
"""Fixtures for cloud integration tests."""
from http import HTTPStatus
from typing import Callable, Optional
from http import HTTPStatus
import pytest
import requests
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.logger import setup_logger
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
logger = setup_logger(__name__)
@pytest.fixture(scope="function")
def create_cloud_integration_account(
request: pytest.FixtureRequest,
@@ -26,7 +24,9 @@ def create_cloud_integration_account(
cloud_provider: str = "aws",
) -> dict:
nonlocal created_account_id, cloud_provider_used
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
)
request_payload = {
"account_config": {"regions": ["us-east-1"]},
@@ -59,7 +59,9 @@ def create_cloud_integration_account(
def _disconnect(admin_token: str, cloud_provider: str) -> requests.Response:
assert created_account_id
disconnect_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
disconnect_endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
)
return requests.post(
signoz.self.host_configs["8080"].get(disconnect_endpoint),
headers={"Authorization": f"Bearer {admin_token}"},

View File

@@ -1,5 +1,4 @@
"""Fixtures for cloud integration tests."""
from http import HTTPStatus
import requests

View File

@@ -43,10 +43,6 @@ class MetricsTimeSeries(ABC):
resource_attrs: dict[str, str] = {},
scope_attrs: dict[str, str] = {},
) -> None:
# Create a copy of labels to avoid mutating the caller's dictionary
labels = dict(labels)
# Add metric_name to the labels to support promql queries
labels["__name__"] = metric_name
self.env = env
self.metric_name = metric_name
self.temporality = temporality

View File

@@ -69,10 +69,6 @@ def signoz( # pylint: disable=too-many-arguments,too-many-positional-arguments
"SIGNOZ_GLOBAL_INGESTION__URL": "https://ingest.test.signoz.cloud",
"SIGNOZ_USER_PASSWORD_RESET_ALLOW__SELF": True,
"SIGNOZ_USER_PASSWORD_RESET_MAX__TOKEN__LIFETIME": "6h",
"RULES_EVAL_DELAY": "0s",
"SIGNOZ_ALERTMANAGER_SIGNOZ_POLL__INTERVAL": "5s",
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__WAIT": "1s",
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__INTERVAL": "5s",
}
| sqlstore.env
| clickhouse.env

View File

@@ -191,15 +191,3 @@ class AlertExpectation:
# seconds to wait for the alerts to be fired, if no
# alerts are fired in the expected time, the test will fail
wait_time_seconds: int
@dataclass(frozen=True)
class AlertTestCase:
# name of the test case
name: str
# path to the rule file in testdata directory
rule_path: str
# list of alert data that will be inserted into the database
alert_data: List[AlertData]
# list of alert expectations for the test case
alert_expectation: AlertExpectation

View File

@@ -8,9 +8,6 @@ from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingRespons
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.logger import setup_logger
logger = setup_logger(__name__)
def test_webhook_notification_channel(
@@ -23,7 +20,6 @@ def test_webhook_notification_channel(
"""
Tests the creation and delivery of test alerts on the created notification channel
"""
logger.info("Setting up notification channel")
# Prepare notification channel name and webhook endpoint
notification_channel_name = f"notification-channel-{uuid.uuid4()}"
@@ -59,10 +55,10 @@ def test_webhook_notification_channel(
)
# TODO: @abhishekhugetech # pylint: disable=W0511
# Time required for newly created Org to be registered in the alertmanager is 5 seconds in signoz.py
# Time required for Org to be registered
# in the alertmanager, default 1m.
# this will be fixed after [https://github.com/SigNoz/engineering-pod/issues/3800]
# 10 seconds safe time for org to be registered in the alertmanager
time.sleep(10)
time.sleep(65)
# Call test API for the notification channel
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)

View File

@@ -1,671 +0,0 @@
import json
import uuid
from datetime import datetime, timedelta, timezone
from typing import Callable, List
import pytest
from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingResponse
from fixtures import types
from fixtures.alertutils import (
update_rule_channel_name,
verify_webhook_alert_expectation,
)
from fixtures.logger import setup_logger
from fixtures.utils import get_testdata_file_path
# test cases for match type and compare operators have wait time of 30 seconds to verify the alert expectation.
# we've poistioned the alert data to fire the alert on first eval of rule manager, the eval frequency
# for most alert rules are set of 15s so considering this delay plus some delay from alert manager's
# group_wait and group_interval, even in worst case most alerts should be triggered in about 30 seconds
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
types.AlertTestCase(
name="test_threshold_above_at_least_once",
rule_path="alerts/test_scenarios/threshold_above_at_least_once/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_above_at_least_once",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_above_all_the_time",
rule_path="alerts/test_scenarios/threshold_above_all_the_time/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_above_all_the_time",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_above_in_total",
rule_path="alerts/test_scenarios/threshold_above_in_total/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_above_in_total",
"threshold.name": "critical",
"service": "server",
},
),
types.FiringAlert(
labels={
"alertname": "threshold_above_in_total",
"threshold.name": "critical",
"service": "api",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_above_average",
rule_path="alerts/test_scenarios/threshold_above_average/rule.json",
alert_data=[
types.AlertData(
type="traces",
data_path="alerts/test_scenarios/threshold_above_average/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_above_average",
"threshold.name": "critical",
}
),
],
),
),
# TODO: @abhishekhugetech enable the test for matchType last, pylint: disable=W0511
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed
# types.AlertTestCase(
# name="test_threshold_above_last",
# rule_path="alerts/test_scenarios/threshold_above_last/rule.json",
# alert_data=[
# types.AlertData(
# type="metrics",
# data_path="alerts/test_scenarios/threshold_above_last/alert_data.jsonl",
# ),
# ],
# alert_expectation=types.AlertExpectation(
# should_alert=True,
# wait_time_seconds=30,
# expected_alerts=[
# types.FiringAlert(
# labels={
# "alertname": "threshold_above_last",
# "threshold.name": "critical",
# }
# ),
# ],
# ),
# ),
types.AlertTestCase(
name="test_threshold_below_at_least_once",
rule_path="alerts/test_scenarios/threshold_below_at_least_once/rule.json",
alert_data=[
types.AlertData(
type="logs",
data_path="alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_below_at_least_once",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_below_all_the_time",
rule_path="alerts/test_scenarios/threshold_below_all_the_time/rule.json",
alert_data=[
types.AlertData(
type="logs",
data_path="alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_below_all_the_time",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_below_in_total",
rule_path="alerts/test_scenarios/threshold_below_in_total/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_below_in_total",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_below_average",
rule_path="alerts/test_scenarios/threshold_below_average/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_below_average/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_below_average",
"threshold.name": "critical",
}
),
],
),
),
# TODO: @abhishekhugetech enable the test for matchType last,
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
# types.AlertTestCase(
# name="test_threshold_below_last",
# rule_path="alerts/test_scenarios/threshold_below_last/rule.json",
# alert_data=[
# types.AlertData(
# type="metrics",
# data_path="alerts/test_scenarios/threshold_below_last/alert_data.jsonl",
# ),
# ],
# alert_expectation=types.AlertExpectation(
# should_alert=True,
# wait_time_seconds=30,
# expected_alerts=[
# types.FiringAlert(
# labels={
# "alertname": "threshold_below_last",
# "threshold.name": "critical",
# }
# ),
# ],
# ),
# ),
types.AlertTestCase(
name="test_threshold_equal_to_at_least_once",
rule_path="alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_equal_to_at_least_once/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_equal_to_at_least_once",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_equal_to_all_the_time",
rule_path="alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_equal_to_all_the_time/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_equal_to_all_the_time",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_equal_to_in_total",
rule_path="alerts/test_scenarios/threshold_equal_to_in_total/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_equal_to_in_total",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_equal_to_average",
rule_path="alerts/test_scenarios/threshold_equal_to_average/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_equal_to_average",
"threshold.name": "critical",
}
),
],
),
),
# TODO: @abhishekhugetech enable the test for matchType last,
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
# types.AlertTestCase(
# name="test_threshold_equal_to_last",
# rule_path="alerts/test_scenarios/threshold_equal_to_last/rule.json",
# alert_data=[
# types.AlertData(
# type="metrics",
# data_path="alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl",
# ),
# ],
# alert_expectation=types.AlertExpectation(
# should_alert=True,
# wait_time_seconds=30,
# expected_alerts=[
# types.FiringAlert(
# labels={
# "alertname": "threshold_equal_to_last",
# "threshold.name": "critical",
# }
# ),
# ],
# ),
# ),
types.AlertTestCase(
name="test_threshold_not_equal_to_at_least_once",
rule_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_not_equal_to_at_least_once",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_not_equal_to_all_the_time",
rule_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_not_equal_to_all_the_time",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_not_equal_to_in_total",
rule_path="alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_not_equal_to_in_total/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_not_equal_to_in_total",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_threshold_not_equal_to_average",
rule_path="alerts/test_scenarios/threshold_not_equal_to_average/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "threshold_not_equal_to_average",
"threshold.name": "critical",
}
),
],
),
),
# TODO: @abhishekhugetech enable the test for matchType last,
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
# types.AlertTestCase(
# name="test_threshold_not_equal_to_last",
# rule_path="alerts/test_scenarios/threshold_not_equal_to_last/rule.json",
# alert_data=[
# types.AlertData(
# type="metrics",
# data_path="alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl",
# ),
# ],
# alert_expectation=types.AlertExpectation(
# should_alert=True,
# wait_time_seconds=30,
# expected_alerts=[
# types.FiringAlert(
# labels={
# "alertname": "threshold_not_equal_to_last",
# "threshold.name": "critical",
# }
# ),
# ],
# ),
# ),
]
# test cases unit conversion
TEST_RULES_UNIT_CONVERSION = [
types.AlertTestCase(
name="test_unit_conversion_bytes_to_mb",
rule_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "unit_conversion_bytes_to_mb",
"threshold.name": "critical",
}
),
],
),
),
types.AlertTestCase(
name="test_unit_conversion_ms_to_second",
rule_path="alerts/test_scenarios/unit_conversion_ms_to_second/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "unit_conversion_ms_to_second",
"threshold.name": "critical",
}
),
],
),
),
]
# test cases miscellaneous cases, no data and multi threshold
TEST_RULES_MISCELLANEOUS = [
types.AlertTestCase(
name="test_no_data_rule_test",
rule_path="alerts/test_scenarios/no_data_rule_test/rule.json",
alert_data=[
types.AlertData(
type="metrics",
data_path="alerts/test_scenarios/no_data_rule_test/alert_data.jsonl",
),
],
alert_expectation=types.AlertExpectation(
should_alert=True,
wait_time_seconds=30,
expected_alerts=[
types.FiringAlert(
labels={
"alertname": "[No data] no_data_rule_test",
"nodata": "true",
}
),
],
),
),
# TODO: @abhishekhugetech enable the test for multi threshold rule, pylint: disable=W0511
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3934) with alertManager is resolved
# types.AlertTestCase(
# name="test_multi_threshold_rule_test",
# rule_path="alerts/test_scenarios/multi_threshold_rule_test/rule.json",
# alert_data=[
# types.AlertData(
# type="metrics",
# data_path="alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl",
# ),
# ],
# alert_expectation=types.AlertExpectation(
# should_alert=True,
# # the second alert will be fired with some delay from alert manager's group_interval
# # so taking this in consideration, the wait time is 90 seconds (30s + 30s for next alert + 30s buffer)
# wait_time_seconds=90,
# expected_alerts=[
# types.FiringAlert(
# labels={
# "alertname": "multi_threshold_rule_test",
# "threshold.name": "info",
# }
# ),
# types.FiringAlert(
# labels={
# "alertname": "multi_threshold_rule_test",
# "threshold.name": "warning",
# }
# ),
# ],
# ),
# ),
]
logger = setup_logger(__name__)
@pytest.mark.parametrize(
"alert_test_case",
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS
+ TEST_RULES_UNIT_CONVERSION
+ TEST_RULES_MISCELLANEOUS,
ids=lambda alert_test_case: alert_test_case.name,
)
def test_basic_alert_rule_conditions(
# Notification channel related fixtures
notification_channel: types.TestContainerDocker,
make_http_mocks: Callable[[types.TestContainerDocker, List[Mapping]], None],
create_webhook_notification_channel: Callable[[str, str, dict, bool], str],
# Alert rule related fixtures
create_alert_rule: Callable[[dict], str],
# Alert data insertion related fixtures
insert_alert_data: Callable[[List[types.AlertData], datetime], None],
alert_test_case: types.AlertTestCase,
):
# Prepare notification channel name and webhook endpoint
notification_channel_name = str(uuid.uuid4())
webhook_endpoint_path = f"/alert/{notification_channel_name}"
notification_url = notification_channel.container_configs["8080"].get(
webhook_endpoint_path
)
logger.info("notification_url: %s", {"notification_url": notification_url})
# register the mock endpoint in notification channel
make_http_mocks(
notification_channel,
[
Mapping(
request=MappingRequest(
method=HttpMethods.POST,
url=webhook_endpoint_path,
),
response=MappingResponse(
status=200,
json_body={},
),
persistent=False,
)
],
)
# Create an alert channel using the given route
create_webhook_notification_channel(
channel_name=notification_channel_name,
webhook_url=notification_url,
http_config={},
send_resolved=False,
)
logger.info(
"alert channel created with name: %s",
{"notification_channel_name": notification_channel_name},
)
# Insert alert data
insert_alert_data(
alert_test_case.alert_data,
base_time=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
)
# Create Alert Rule
rule_path = get_testdata_file_path(alert_test_case.rule_path)
with open(rule_path, "r", encoding="utf-8") as f:
rule_data = json.loads(f.read())
# Update the channel name in the rule data
update_rule_channel_name(rule_data, notification_channel_name)
rule_id = create_alert_rule(rule_data)
logger.info(
"rule created with id: %s",
{"rule_id": rule_id, "rule_name": rule_data["alert"]},
)
# Verify alert expectation
verify_webhook_alert_expectation(
notification_channel,
notification_channel_name,
alert_test_case.alert_expectation,
)

View File

@@ -1,6 +1,7 @@
from http import HTTPStatus
from typing import Callable
import pytest
import requests
from fixtures import types
@@ -20,9 +21,7 @@ def test_generate_connection_url(
# Get authentication token for admin user
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
cloud_provider = "aws"
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
)
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
# Prepare request payload
request_payload = {
@@ -66,7 +65,9 @@ def test_generate_connection_url(
data = response_data["data"]
# Assert account_id is a valid UUID format
assert len(data["account_id"]) > 0, "account_id should be a non-empty string (UUID)"
assert (
len(data["account_id"]) > 0
), "account_id should be a non-empty string (UUID)"
# Assert connection_url contains expected CloudFormation parameters
connection_url = data["connection_url"]
@@ -110,9 +111,7 @@ def test_generate_connection_url_unsupported_provider(
# Try with GCP (unsupported)
cloud_provider = "gcp"
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
)
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
request_payload = {
"account_config": {"regions": ["us-central1"]},

View File

@@ -1,13 +1,17 @@
import uuid
from http import HTTPStatus
from typing import Callable
import uuid
import pytest
import requests
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.cloudintegrationsutils import simulate_agent_checkin
from fixtures.logger import setup_logger
from fixtures.cloudintegrations import (
create_cloud_integration_account,
)
from fixtures.cloudintegrationsutils import simulate_agent_checkin
logger = setup_logger(__name__)
@@ -36,9 +40,8 @@ def test_list_connected_accounts_empty(
data = response_data.get("data", response_data)
assert "accounts" in data, "Response should contain 'accounts' field"
assert isinstance(data["accounts"], list), "Accounts should be a list"
assert (
len(data["accounts"]) == 0
), "Accounts list should be empty when no accounts are connected"
assert len(data["accounts"]) == 0, "Accounts list should be empty when no accounts are connected"
def test_list_connected_accounts_with_account(
@@ -57,9 +60,7 @@ def test_list_connected_accounts_with_account(
# Simulate agent check-in to mark as connected
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# List accounts
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts"
@@ -86,6 +87,7 @@ def test_list_connected_accounts_with_account(
assert "status" in account, "Account should have status field"
def test_get_account_status(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -161,16 +163,16 @@ def test_update_account_config(
# Simulate agent check-in to mark as connected
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# Update account configuration
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{account_id}/config"
)
updated_config = {"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}}
updated_config = {
"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}
}
response = requests.post(
signoz.self.host_configs["8080"].get(endpoint),
@@ -196,6 +198,7 @@ def test_update_account_config(
timeout=10,
)
list_response_data = list_response.json()
list_data = list_response_data.get("data", list_response_data)
account = next((a for a in list_data["accounts"] if a["id"] == account_id), None)
@@ -210,6 +213,7 @@ def test_update_account_config(
}, "Regions should match updated config"
def test_disconnect_account(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -226,9 +230,7 @@ def test_disconnect_account(
# Simulate agent check-in to mark as connected
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# Disconnect the account
endpoint = (
@@ -260,9 +262,8 @@ def test_disconnect_account(
disconnected_account = next(
(a for a in list_data["accounts"] if a["id"] == account_id), None
)
assert (
disconnected_account is None
), f"Account {account_id} should be removed from connected accounts"
assert disconnected_account is None, f"Account {account_id} should be removed from connected accounts"
def test_disconnect_account_not_found(
@@ -276,7 +277,9 @@ def test_disconnect_account_not_found(
cloud_provider = "aws"
fake_account_id = "00000000-0000-0000-0000-000000000000"
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
)
response = requests.post(
signoz.self.host_configs["8080"].get(endpoint),
@@ -289,6 +292,7 @@ def test_disconnect_account_not_found(
), f"Expected 404, got {response.status_code}"
def test_list_accounts_unsupported_provider(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument

View File

@@ -1,13 +1,17 @@
import uuid
from http import HTTPStatus
from typing import Callable
import uuid
import pytest
import requests
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.cloudintegrationsutils import simulate_agent_checkin
from fixtures.logger import setup_logger
from fixtures.cloudintegrations import (
create_cloud_integration_account,
)
from fixtures.cloudintegrationsutils import simulate_agent_checkin
logger = setup_logger(__name__)
@@ -46,6 +50,7 @@ def test_list_services_without_account(
assert "icon" in service, "Service should have 'icon' field"
def test_list_services_with_account(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -61,9 +66,7 @@ def test_list_services_with_account(
account_id = account_data["account_id"]
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# List services for the account
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services?cloud_account_id={cloud_account_id}"
@@ -91,6 +94,7 @@ def test_list_services_with_account(
assert "icon" in service, "Service should have 'icon' field"
def test_get_service_details_without_account(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -137,6 +141,7 @@ def test_get_service_details_without_account(
assert isinstance(data["assets"], dict), "Assets should be a dictionary"
def test_get_service_details_with_account(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -152,9 +157,7 @@ def test_get_service_details_with_account(
account_id = account_data["account_id"]
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# Get list of services first
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
@@ -193,6 +196,7 @@ def test_get_service_details_with_account(
assert "status" in data, "Config should have 'status' field"
def test_get_service_details_invalid_service(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -216,6 +220,7 @@ def test_get_service_details_invalid_service(
), f"Expected 404, got {response.status_code}"
def test_list_services_unsupported_provider(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -238,6 +243,7 @@ def test_list_services_unsupported_provider(
), f"Expected 400, got {response.status_code}"
def test_update_service_config(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -253,9 +259,7 @@ def test_update_service_config(
account_id = account_data["account_id"]
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# Get list of services to pick a valid service ID
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
@@ -270,9 +274,7 @@ def test_update_service_config(
service_id = list_data["services"][0]["id"]
# Update service configuration
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
)
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
config_payload = {
"cloud_account_id": cloud_account_id,
@@ -304,6 +306,7 @@ def test_update_service_config(
assert "logs" in data["config"], "Config should contain 'logs' field"
def test_update_service_config_without_account(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -326,9 +329,7 @@ def test_update_service_config_without_account(
service_id = list_data["services"][0]["id"]
# Try to update config with non-existent account
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
)
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
fake_cloud_account_id = str(uuid.uuid4())
config_payload = {
@@ -350,6 +351,7 @@ def test_update_service_config_without_account(
), f"Expected 500 for non-existent account, got {response.status_code}"
def test_update_service_config_invalid_service(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -365,15 +367,11 @@ def test_update_service_config_invalid_service(
account_id = account_data["account_id"]
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# Try to update config for invalid service
fake_service_id = "non-existent-service"
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
)
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
config_payload = {
"cloud_account_id": cloud_account_id,
@@ -394,6 +392,7 @@ def test_update_service_config_invalid_service(
), f"Expected 404 for invalid service, got {response.status_code}"
def test_update_service_config_disable_service(
signoz: types.SigNoz,
create_user_admin: types.Operation, # pylint: disable=unused-argument
@@ -409,9 +408,7 @@ def test_update_service_config_disable_service(
account_id = account_data["account_id"]
cloud_account_id = str(uuid.uuid4())
simulate_agent_checkin(
signoz, admin_token, cloud_provider, account_id, cloud_account_id
)
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
# Get a valid service
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
@@ -425,9 +422,7 @@ def test_update_service_config_disable_service(
service_id = list_data["services"][0]["id"]
# First enable the service
endpoint = (
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
)
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
enable_payload = {
"cloud_account_id": cloud_account_id,

View File

@@ -2,11 +2,11 @@
Look at the multi_temporality_counters_1h.jsonl file for the relevant data
"""
import random
import os
from datetime import datetime, timedelta, timezone
from http import HTTPStatus
from typing import Callable, List
import random
from typing import Any, Callable, List
import pytest
from fixtures import types
@@ -21,13 +21,8 @@ from fixtures.querier import (
from fixtures.utils import get_testdata_file_path
MULTI_TEMPORALITY_FILE = get_testdata_file_path("multi_temporality_counters_1h.jsonl")
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path(
"multi_temporality_counters_10h.jsonl"
)
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path(
"multi_temporality_counters_24h.jsonl"
)
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path("multi_temporality_counters_10h.jsonl")
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path("multi_temporality_counters_24h.jsonl")
@pytest.mark.parametrize(
"time_aggregation, expected_value_at_31st_minute, expected_value_at_32nd_minute, steady_value",
@@ -44,7 +39,7 @@ def test_with_steady_values_and_reset(
time_aggregation: str,
expected_value_at_31st_minute: float,
expected_value_at_32nd_minute: float,
steady_value: float,
steady_value: float
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
@@ -74,21 +69,22 @@ def test_with_steady_values_and_reset(
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) >= 59
# the counter reset happened at 31st minute
assert result_values[30]["value"] == expected_value_at_31st_minute
assert result_values[31]["value"] == expected_value_at_32nd_minute
assert (
result_values[30]["value"] == expected_value_at_31st_minute
)
assert (
result_values[31]["value"] == expected_value_at_32nd_minute
)
assert (
result_values[39]["value"] == steady_value
) # 39th minute is when cumulative shifts to delta
) # 39th minute is when cumulative shifts to delta
count_of_steady_rate = sum(1 for v in result_values if v["value"] == steady_value)
assert (
count_of_steady_rate >= 56
) # 59 - (1 reset + 1 high rate + 1 at the beginning)
# All rates should be non-negative (stale periods = 0 rate)
for v in result_values:
assert (
v["value"] >= 0
), f"{time_aggregation} should not be negative: {v['value']}"
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
@pytest.mark.parametrize(
"time_aggregation, stable_health_value, stable_products_value, stable_checkout_value, spike_checkout_value, stable_orders_value, spike_users_value",
@@ -165,26 +161,20 @@ def test_group_by_endpoint(
assert (
len(health_values) >= 58
), f"Expected >= 58 values for /health, got {len(health_values)}"
count_steady_health = sum(
1 for v in health_values if v["value"] == stable_health_value
)
count_steady_health = sum(1 for v in health_values if v["value"] == stable_health_value)
assert (
count_steady_health >= 57
), f"Expected >= 57 steady rate values ({stable_health_value}) for /health, got {count_steady_health}"
# all /health rates should be state except possibly first/last due to boundaries
for v in health_values[1:-1]:
assert (
v["value"] == stable_health_value
), f"Expected /health rate {stable_health_value}, got {v['value']}"
assert v["value"] == stable_health_value, f"Expected /health rate {stable_health_value}, got {v['value']}"
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
products_values = endpoint_values["/products"]
assert (
len(products_values) >= 49
), f"Expected >= 49 values for /products, got {len(products_values)}"
count_steady_products = sum(
1 for v in products_values if v["value"] == stable_products_value
)
count_steady_products = sum(1 for v in products_values if v["value"] == stable_products_value)
# most values should be stable, some boundary values differ due to 10-min gap
assert (
@@ -192,9 +182,7 @@ def test_group_by_endpoint(
), f"Expected >= 46 steady rate values ({stable_products_value}) for /products, got {count_steady_products}"
# check that non-stable values are due to gap averaging (should be lower)
gap_boundary_values = [
v["value"] for v in products_values if v["value"] != stable_products_value
]
gap_boundary_values = [v["value"] for v in products_values if v["value"] != stable_products_value]
for val in gap_boundary_values:
assert (
0 < val < stable_products_value
@@ -205,16 +193,12 @@ def test_group_by_endpoint(
assert (
len(checkout_values) >= 59
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
count_steady_checkout = sum(
1 for v in checkout_values if v["value"] == stable_checkout_value
)
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == stable_checkout_value)
assert (
count_steady_checkout >= 53
), f"Expected >= 53 steady {time_aggregation} values ({stable_checkout_value}) for /checkout, got {count_steady_checkout}"
# check that spike values exist (traffic spike +50/min at t40-t44)
count_spike_checkout = sum(
1 for v in checkout_values if v["value"] == spike_checkout_value
)
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == spike_checkout_value)
assert (
count_spike_checkout >= 4
), f"Expected >= 4 spike {time_aggregation} values ({spike_checkout_value}) for /checkout, got {count_spike_checkout}"
@@ -236,16 +220,12 @@ def test_group_by_endpoint(
assert (
len(orders_values) >= 58
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
count_steady_orders = sum(
1 for v in orders_values if v["value"] == stable_orders_value
)
count_steady_orders = sum(1 for v in orders_values if v["value"] == stable_orders_value)
assert (
count_steady_orders >= 55
), f"Expected >= 55 steady {time_aggregation} values ({stable_orders_value}) for /orders, got {count_steady_orders}"
# check for counter reset effects - there should be some non-standard values
non_standard_orders = [
v["value"] for v in orders_values if v["value"] != stable_orders_value
]
non_standard_orders = [v["value"] for v in orders_values if v["value"] != stable_orders_value]
assert (
len(non_standard_orders) >= 2
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
@@ -272,7 +252,6 @@ def test_group_by_endpoint(
count_increment_rate >= 8
), f"Expected >= 8 increment {time_aggregation} values ({spike_users_value}) for /users, got {count_increment_rate}"
@pytest.mark.parametrize(
"time_aggregation, expected_value_at_30th_minute, expected_value_at_31st_minute, value_at_switch",
[
@@ -288,7 +267,7 @@ def test_for_service_with_switch(
time_aggregation: str,
expected_value_at_30th_minute: float,
expected_value_at_31st_minute: float,
value_at_switch: float,
value_at_switch: float
) -> None:
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
@@ -317,18 +296,21 @@ def test_for_service_with_switch(
data = response.json()
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
assert len(result_values) >= 60
assert result_values[30]["value"] == expected_value_at_30th_minute # 0.183
assert result_values[31]["value"] == expected_value_at_31st_minute # 0.183
assert result_values[38]["value"] == value_at_switch # 0.25
assert (
result_values[39]["value"] == value_at_switch # 0.25
) # 39th minute is when cumulative shifts to delta
result_values[30]["value"] == expected_value_at_30th_minute #0.183
)
assert (
result_values[31]["value"] == expected_value_at_31st_minute # 0.183
)
assert (
result_values[38]["value"] == value_at_switch # 0.25
)
assert (
result_values[39]["value"] == value_at_switch # 0.25
) # 39th minute is when cumulative shifts to delta
# All rates should be non-negative (stale periods = 0 rate)
for v in result_values:
assert (
v["value"] >= 0
), f"{time_aggregation} should not be negative: {v['value']}"
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
@pytest.mark.parametrize(
"time_aggregation, expected_value",
@@ -373,7 +355,6 @@ def test_for_week_long_time_range(
for value in result_values[1:]:
assert value["value"] == expected_value
@pytest.mark.parametrize(
"time_aggregation, expected_value",
[

View File

@@ -1,15 +1,15 @@
import pytest
from http import HTTPStatus
from typing import Callable
import pytest
import requests
from sqlalchemy import sql
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.types import Operation, SigNoz
ANONYMOUS_USER_ID = "00000000-0000-0000-0000-000000000000"
ANONYMOUS_USER_ID = "00000000-0000-0000-0000-000000000000"
def test_managed_roles_create_on_register(
signoz: SigNoz,
@@ -17,7 +17,7 @@ def test_managed_roles_create_on_register(
get_token: Callable[[str, str], str],
):
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
# get the list of all roles.
response = requests.get(
signoz.self.host_configs["8080"].get("/api/v1/roles"),
@@ -32,22 +32,18 @@ def test_managed_roles_create_on_register(
# since this check happens immediately post registeration, all the managed roles should be present.
assert len(data) == 4
role_names = {role["name"] for role in data}
expected_names = {
"signoz-admin",
"signoz-viewer",
"signoz-editor",
"signoz-anonymous",
}
expected_names = {"signoz-admin", "signoz-viewer", "signoz-editor", "signoz-anonymous"}
# do the set mapping as this is order insensitive, direct list match is order-sensitive.
assert set(role_names) == expected_names
def test_root_user_signoz_admin_assignment(
request: pytest.FixtureRequest,
signoz: SigNoz,
create_user_admin: Operation, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
):
):
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
# Get the user from the /user/me endpoint and extract the id
@@ -68,16 +64,14 @@ def test_root_user_signoz_admin_assignment(
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
assert response.status_code == HTTPStatus.OK
assert response.json()["status"] == "success"
# Loop over the roles and get the org_id and id for signoz-admin role
roles = response.json()["data"]
admin_role_entry = next(
(role for role in roles if role["name"] == "signoz-admin"), None
)
admin_role_entry = next((role for role in roles if role["name"] == "signoz-admin"), None)
assert admin_role_entry is not None
org_id = admin_role_entry["orgId"]
# to be super sure of authorization server, let's validate the tuples in DB as well.
# to be super sure of authorization server, let's validate the tuples in DB as well.
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
with signoz.sqlstore.conn.connect() as conn:
# verify the entry present for role assignment
@@ -86,14 +80,15 @@ def test_root_user_signoz_admin_assignment(
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
{"object_id": tuple_object_id},
)
tuple_row = tuple_result.mappings().fetchone()
assert tuple_row is not None
# check that the tuple if for role assignment
assert tuple_row["object_type"] == "role"
assert tuple_row["relation"] == "assignee"
assert tuple_row['object_type'] == "role"
assert tuple_row['relation'] == "assignee"
if request.config.getoption("--sqlstore-provider") == "sqlite":
if request.config.getoption("--sqlstore-provider") == 'sqlite':
user_object_id = f"organization/{org_id}/user/{user_id}"
assert tuple_row["user_object_type"] == "user"
assert tuple_row["user_object_id"] == user_object_id
@@ -102,13 +97,13 @@ def test_root_user_signoz_admin_assignment(
assert tuple_row["user_type"] == "user"
assert tuple_row["_user"] == _user
def test_anonymous_user_signoz_anonymous_assignment(
request: pytest.FixtureRequest,
signoz: SigNoz,
create_user_admin: Operation, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
):
):
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
response = requests.get(
@@ -120,16 +115,14 @@ def test_anonymous_user_signoz_anonymous_assignment(
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
assert response.status_code == HTTPStatus.OK
assert response.json()["status"] == "success"
# Loop over the roles and get the org_id and id for signoz-admin role
roles = response.json()["data"]
admin_role_entry = next(
(role for role in roles if role["name"] == "signoz-anonymous"), None
)
admin_role_entry = next((role for role in roles if role["name"] == "signoz-anonymous"), None)
assert admin_role_entry is not None
org_id = admin_role_entry["orgId"]
# to be super sure of authorization server, let's validate the tuples in DB as well.
# to be super sure of authorization server, let's validate the tuples in DB as well.
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
with signoz.sqlstore.conn.connect() as conn:
# verify the entry present for role assignment
@@ -138,14 +131,15 @@ def test_anonymous_user_signoz_anonymous_assignment(
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
{"object_id": tuple_object_id},
)
tuple_row = tuple_result.mappings().fetchone()
assert tuple_row is not None
# check that the tuple if for role assignment
assert tuple_row["object_type"] == "role"
assert tuple_row["relation"] == "assignee"
assert tuple_row['object_type'] == "role"
assert tuple_row['relation'] == "assignee"
if request.config.getoption("--sqlstore-provider") == "sqlite":
if request.config.getoption("--sqlstore-provider") == 'sqlite':
user_object_id = f"organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
assert tuple_row["user_object_type"] == "anonymous"
assert tuple_row["user_object_id"] == user_object_id
@@ -153,3 +147,5 @@ def test_anonymous_user_signoz_anonymous_assignment(
_user = f"anonymous:organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
assert tuple_row["user_type"] == "user"
assert tuple_row["_user"] == _user

View File

@@ -1,16 +1,11 @@
import pytest
from http import HTTPStatus
from typing import Callable
import pytest
import requests
from sqlalchemy import sql
from fixtures.auth import (
USER_ADMIN_EMAIL,
USER_ADMIN_PASSWORD,
USER_EDITOR_EMAIL,
USER_EDITOR_PASSWORD,
)
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD, USER_EDITOR_EMAIL, USER_EDITOR_PASSWORD
from fixtures.types import Operation, SigNoz
@@ -21,7 +16,7 @@ def test_user_invite_accept_role_grant(
get_token: Callable[[str, str], str],
):
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
# invite a user as editor
invite_payload = {
"email": USER_EDITOR_EMAIL,
@@ -35,7 +30,7 @@ def test_user_invite_accept_role_grant(
)
assert invite_response.status_code == HTTPStatus.CREATED
invite_token = invite_response.json()["data"]["token"]
# accept the invite for editor
accept_payload = {
"token": invite_token,
@@ -45,7 +40,7 @@ def test_user_invite_accept_role_grant(
signoz.self.host_configs["8080"].get("/api/v1/invite/accept"),
json=accept_payload,
timeout=2,
)
)
assert accept_response.status_code == HTTPStatus.CREATED
# Login with editor email and password
@@ -58,6 +53,7 @@ def test_user_invite_accept_role_grant(
assert user_me_response.status_code == HTTPStatus.OK
editor_id = user_me_response.json()["data"]["id"]
# check the forbidden response for admin api for editor user
admin_roles_response = requests.get(
signoz.self.host_configs["8080"].get("/api/v1/roles"),
@@ -83,11 +79,11 @@ def test_user_invite_accept_role_grant(
)
tuple_row = tuple_result.mappings().fetchone()
assert tuple_row is not None
assert tuple_row["object_type"] == "role"
assert tuple_row["relation"] == "assignee"
assert tuple_row['object_type'] == "role"
assert tuple_row['relation'] == "assignee"
# verify the user tuple details depending on db provider
if request.config.getoption("--sqlstore-provider") == "sqlite":
if request.config.getoption("--sqlstore-provider") == 'sqlite':
user_object_id = f"organization/{org_id}/user/{editor_id}"
assert tuple_row["user_object_type"] == "user"
assert tuple_row["user_object_id"] == user_object_id
@@ -97,6 +93,7 @@ def test_user_invite_accept_role_grant(
assert tuple_row["_user"] == _user
def test_user_update_role_grant(
request: pytest.FixtureRequest,
signoz: SigNoz,
@@ -125,7 +122,9 @@ def test_user_update_role_grant(
org_id = roles_data[0]["orgId"]
# Update the user's role to viewer
update_payload = {"role": "VIEWER"}
update_payload = {
"role": "VIEWER"
}
update_response = requests.put(
signoz.self.host_configs["8080"].get(f"/api/v1/user/{editor_id}"),
json=update_payload,
@@ -140,9 +139,7 @@ def test_user_update_role_grant(
viewer_tuple_object_id = f"organization/{org_id}/role/signoz-viewer"
# Check there is no tuple for signoz-editor assignment
editor_tuple_result = conn.execute(
sql.text(
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
),
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
{"object_id": editor_tuple_object_id},
)
for row in editor_tuple_result.mappings().fetchall():
@@ -155,15 +152,13 @@ def test_user_update_role_grant(
# Check that a tuple exists for signoz-viewer assignment
viewer_tuple_result = conn.execute(
sql.text(
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
),
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
{"object_id": viewer_tuple_object_id},
)
row = viewer_tuple_result.mappings().fetchone()
assert row is not None
assert row["object_type"] == "role"
assert row["relation"] == "assignee"
assert row['object_type'] == "role"
assert row['relation'] == "assignee"
if request.config.getoption("--sqlstore-provider") == "sqlite":
user_object_id = f"organization/{org_id}/user/{editor_id}"
assert row["user_object_type"] == "user"
@@ -173,7 +168,6 @@ def test_user_update_role_grant(
assert row["user_type"] == "user"
assert row["_user"] == _user
def test_user_delete_role_revoke(
request: pytest.FixtureRequest,
signoz: SigNoz,
@@ -211,12 +205,10 @@ def test_user_delete_role_revoke(
with signoz.sqlstore.conn.connect() as conn:
tuple_result = conn.execute(
sql.text(
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
),
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
{"object_id": tuple_object_id},
)
# there should NOT be any tuple for the current user assignment
tuple_rows = tuple_result.mappings().fetchall()
for row in tuple_rows:
@@ -225,4 +217,4 @@ def test_user_delete_role_revoke(
assert row["user_object_id"] != user_object_id
else:
_user = f"user:organization/{org_id}/user/{editor_id}"
assert row["_user"] != _user
assert row["_user"] != _user

View File

@@ -1,12 +0,0 @@
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}

View File

@@ -1,83 +0,0 @@
{
"alert": "multi_threshold_rule_test",
"ruleType": "threshold_rule",
"alertType": "METRIC_BASED_ALERT",
"condition": {
"thresholds": {
"kind": "basic",
"spec": [
{
"name": "critical",
"target": 30,
"matchType": "1",
"op": "1",
"channels": [
"test channel"
]
},
{
"name": "warning",
"target": 20,
"matchType": "1",
"op": "1",
"channels": [
"test channel"
]
},
{
"name": "info",
"target": 10,
"matchType": "1",
"op": "1",
"channels": [
"test channel"
]
}
]
},
"compositeQuery": {
"queryType": "builder",
"panelType": "graph",
"queries": [
{
"type": "builder_query",
"spec": {
"name": "A",
"signal": "metrics",
"aggregations": [
{
"metricName": "cpu_percent_multi_threshold_rule_test",
"timeAggregation": "avg",
"spaceAggregation": "max"
}
]
}
}
]
},
"selectedQueryName": "A"
},
"evaluation": {
"kind": "rolling",
"spec": {
"evalWindow": "5m0s",
"frequency": "15s"
}
},
"labels": {},
"annotations": {
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
},
"notificationSettings": {
"groupBy": [],
"usePolicy": false,
"renotify": {
"enabled": false,
"interval": "30m",
"alertStates": []
}
},
"version": "v5",
"schemaVersion": "v2alpha1"
}

View File

@@ -1,12 +0,0 @@
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":26,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":41,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":56,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":101,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":116,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":131,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":146,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":161,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":176,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}

View File

@@ -1,70 +0,0 @@
{
"alert": "no_data_rule_test",
"ruleType": "threshold_rule",
"alertType": "METRIC_BASED_ALERT",
"condition": {
"thresholds": {
"kind": "basic",
"spec": [
{
"name": "critical",
"target": 10,
"matchType": "1",
"op": "1",
"channels": [
"test channel"
]
}
]
},
"compositeQuery": {
"queryType": "builder",
"panelType": "graph",
"queries": [
{
"type": "builder_query",
"spec": {
"name": "A",
"signal": "metrics",
"filter": {
"expression": "service = 'server'"
},
"aggregations": [
{
"metricName": "request_total_no_data_rule_test",
"timeAggregation": "rate",
"spaceAggregation": "sum"
}
]
}
}
]
},
"selectedQueryName": "A",
"alertOnAbsent": true,
"absentFor": 1
},
"evaluation": {
"kind": "rolling",
"spec": {
"evalWindow": "5m0s",
"frequency": "15s"
}
},
"labels": {},
"annotations": {
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
},
"notificationSettings": {
"groupBy": [],
"usePolicy": false,
"renotify": {
"enabled": false,
"interval": "30m",
"alertStates": []
}
},
"version": "v5",
"schemaVersion": "v2alpha1"
}

View File

@@ -1,12 +0,0 @@
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}

View File

@@ -1,58 +0,0 @@
{
"alert": "threshold_above_all_the_time",
"ruleType": "promql_rule",
"alertType": "METRIC_BASED_ALERT",
"condition": {
"thresholds": {
"kind": "basic",
"spec": [
{
"name": "critical",
"target": 10,
"matchType": "2",
"op": "1",
"channels": [
"test channel"
]
}
]
},
"compositeQuery": {
"queryType": "promql",
"panelType": "graph",
"queries": [
{
"type": "promql",
"spec": {
"name": "A",
"query": "{\"cpu_percent_threshold_above_all_the_time\"}"
}
}
]
},
"selectedQueryName": "A"
},
"evaluation": {
"kind": "rolling",
"spec": {
"evalWindow": "5m0s",
"frequency": "15s"
}
},
"labels": {},
"annotations": {
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
},
"notificationSettings": {
"groupBy": [],
"usePolicy": false,
"renotify": {
"enabled": false,
"interval": "30m",
"alertStates": []
}
},
"version": "v5",
"schemaVersion": "v2alpha1"
}

View File

@@ -1,12 +0,0 @@
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":19,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":35,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":36,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":37,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":38,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":39,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}

View File

@@ -1,58 +0,0 @@
{
"alert": "threshold_above_at_least_once",
"ruleType": "threshold_rule",
"alertType": "METRIC_BASED_ALERT",
"condition": {
"thresholds": {
"kind": "basic",
"spec": [
{
"name": "critical",
"target": 10,
"matchType": "1",
"op": "1",
"channels": [
"test channel"
]
}
]
},
"compositeQuery": {
"queryType": "clickhouse_sql",
"panelType": "graph",
"queries": [
{
"type": "clickhouse_sql",
"spec": {
"name": "A",
"query": "WITH __temporal_aggregation_cte AS (\n SELECT \n fingerprint, \n toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(60)) AS ts, \n avg(value) AS per_series_value \n FROM signoz_metrics.distributed_samples_v4 AS points \n INNER JOIN (\n SELECT fingerprint \n FROM signoz_metrics.time_series_v4 \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND LOWER(temporality) LIKE LOWER('cumulative') \n AND __normalized = false \n GROUP BY fingerprint\n ) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND unix_milli >= {{.start_timestamp_ms}} \n AND unix_milli < {{.end_timestamp_ms}} \n GROUP BY fingerprint, ts \n ORDER BY fingerprint, ts\n), \n__spatial_aggregation_cte AS (\n SELECT \n ts, \n avg(per_series_value) AS value \n FROM __temporal_aggregation_cte \n WHERE isNaN(per_series_value) = 0 \n GROUP BY ts\n) \nSELECT * FROM __spatial_aggregation_cte \nORDER BY ts"
}
}
]
},
"selectedQueryName": "A"
},
"evaluation": {
"kind": "rolling",
"spec": {
"evalWindow": "5m0s",
"frequency": "15s"
}
},
"labels": {},
"annotations": {
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
},
"notificationSettings": {
"groupBy": [],
"usePolicy": false,
"renotify": {
"enabled": false,
"interval": "30m",
"alertStates": []
}
},
"version": "v5",
"schemaVersion": "v2alpha1"
}

View File

@@ -1,20 +0,0 @@
{ "timestamp": "2026-01-29T10:00:00.000000Z", "duration": "PT0.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a1", "span_id": "a1b2c3d4e5f6g7h8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:00:30.000000Z", "duration": "PT1.2S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a2", "span_id": "a2b3c4d5e6f7g8h9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:01:00.000000Z", "duration": "PT0.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a3", "span_id": "a3b4c5d6e7f8g9h0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:01:30.000000Z", "duration": "PT1.5S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a4", "span_id": "a4b5c6d7e8f9g0h1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:02:00.000000Z", "duration": "PT1.1S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a5", "span_id": "a5b6c7d8e9f0g1h2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:02:30.000000Z", "duration": "PT0.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a6", "span_id": "a6b7c8d9e0f1g2h3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:03:00.000000Z", "duration": "PT1.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a7", "span_id": "a7b8c9d0e1f2g3h4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:03:30.000000Z", "duration": "PT1.3S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a8", "span_id": "a8b9c0d1e2f3g4h5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:04:00.000000Z", "duration": "PT0.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a9", "span_id": "a9b0c1d2e3f4g5h6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:04:30.000000Z", "duration": "PT1.4S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b1", "span_id": "b1c2d3e4f5g6h7i8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:05:00.000000Z", "duration": "PT1.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b2", "span_id": "b2c3d4e5f6g7h8i9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" },"attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:05:30.000000Z", "duration": "PT0.85S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b3", "span_id": "b3c4d5e6f7g8h9i0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:06:00.000000Z", "duration": "PT1.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b4", "span_id": "b4c5d6e7f8g9h0i1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:06:30.000000Z", "duration": "PT1.25S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b5", "span_id": "b5c6d7e8f9g0h1i2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:07:00.000000Z", "duration": "PT0.95S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b6", "span_id": "b6c7d8e9f0g1h2i3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:07:30.000000Z", "duration": "PT1.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b7", "span_id": "b7c8d9e0f1g2h3i4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:08:00.000000Z", "duration": "PT1.35S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b8", "span_id": "b8c9d0e1f2g3h4i5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:08:30.000000Z", "duration": "PT0.75S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b9", "span_id": "b9c0d1e2f3g4h5i6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:09:00.000000Z", "duration": "PT1.55S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c1", "span_id": "c1d2e3f4g5h6i7j8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
{ "timestamp": "2026-01-29T10:10:00.000000Z", "duration": "PT1.65S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c2", "span_id": "c2d3e4f5g6h7i8j9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }

View File

@@ -1,68 +0,0 @@
{
"alert": "threshold_above_average",
"ruleType": "threshold_rule",
"alertType": "TRACES_BASED_ALERT",
"condition": {
"thresholds": {
"kind": "basic",
"spec": [
{
"name": "critical",
"target": 1,
"matchType": "3",
"op": "1",
"channels": [
"test channel"
],
"targetUnit": "s"
}
]
},
"compositeQuery": {
"queryType": "builder",
"unit": "ns",
"panelType": "graph",
"queries": [
{
"type": "builder_query",
"spec": {
"name": "A",
"signal": "traces",
"filter": {
"expression": "http.request.path = '/order'"
},
"aggregations": [
{
"expression": "p90(duration_nano)"
}
]
}
}
]
},
"selectedQueryName": "A"
},
"evaluation": {
"kind": "rolling",
"spec": {
"evalWindow": "5m0s",
"frequency": "15s"
}
},
"labels": {},
"annotations": {
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
},
"notificationSettings": {
"groupBy": [],
"usePolicy": false,
"renotify": {
"enabled": false,
"interval": "30m",
"alertStates": []
}
},
"version": "v5",
"schemaVersion": "v2alpha1"
}

View File

@@ -1,24 +0,0 @@
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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@@ -1,74 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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@@ -1,18 +0,0 @@
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View File

@@ -1,66 +0,0 @@
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View File

@@ -1,20 +0,0 @@
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View File

@@ -1,66 +0,0 @@
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View File

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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

@@ -1,12 +0,0 @@
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@@ -1,65 +0,0 @@
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@@ -1,12 +0,0 @@
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@@ -1,65 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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@@ -1,12 +0,0 @@
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View File

@@ -1,65 +0,0 @@
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View File

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View File

@@ -1,67 +0,0 @@
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"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
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}
},
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}

View File

@@ -1,12 +0,0 @@
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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View File

@@ -1,67 +0,0 @@
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