mirror of
https://github.com/cgrates/cgrates.git
synced 2026-02-23 16:18:44 +05:00
move trends to dedicated package
reivse/add comments and order of funcs/definitions
This commit is contained in:
committed by
Dan Christian Bogos
parent
24d886c8e0
commit
47fb25b4ef
@@ -587,7 +587,7 @@ const (
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Tolerance = "Tolerance"
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TTL = "TTL"
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PurgeFilterIDs = "PurgeFilterIDs"
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Trend = "Trend"
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TrendStr = "Trend"
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MinItems = "MinItems"
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MetricIDs = "MetricIDs"
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MetricFilterIDs = "MetricFilterIDs"
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460
utils/trends.go
Normal file
460
utils/trends.go
Normal file
@@ -0,0 +1,460 @@
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/*
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Real-time Online/Offline Charging System (OCS) for Telecom & ISP environments
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Copyright (C) ITsysCOM GmbH
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>
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*/
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package utils
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import (
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"math"
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"slices"
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"sync"
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"time"
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)
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// TrendProfile defines the configuration of the Trend.
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type TrendProfile struct {
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Tenant string
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ID string
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Schedule string // Cron expression scheduling gathering of the metrics
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StatID string
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Metrics []string
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TTL time.Duration
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QueueLength int
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MinItems int // minimum number of items for building Trends
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CorrelationType string // *last, *average
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Tolerance float64 // allow this deviation margin for *constant trend
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Stored bool // store the Trend in dataDB
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ThresholdIDs []string
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}
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// TrendProfileWithAPIOpts wraps TrendProfile with APIOpts.
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type TrendProfileWithAPIOpts struct {
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*TrendProfile
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APIOpts map[string]any
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}
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// Clone creates a deep copy of TrendProfile for thread-safe use.
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func (tP *TrendProfile) Clone() (clnTp *TrendProfile) {
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clnTp = &TrendProfile{
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Tenant: tP.Tenant,
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ID: tP.ID,
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Schedule: tP.Schedule,
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StatID: tP.StatID,
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QueueLength: tP.QueueLength,
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TTL: tP.TTL,
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MinItems: tP.MinItems,
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CorrelationType: tP.CorrelationType,
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Tolerance: tP.Tolerance,
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Stored: tP.Stored,
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}
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if tP.Metrics != nil {
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clnTp.Metrics = make([]string, len(tP.Metrics))
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for i, mID := range tP.Metrics {
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clnTp.Metrics[i] = mID
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}
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}
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if tP.ThresholdIDs != nil {
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clnTp.ThresholdIDs = make([]string, len(tP.ThresholdIDs))
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for i, tID := range tP.ThresholdIDs {
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clnTp.ThresholdIDs[i] = tID
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}
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}
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return
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}
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// TenantID returns the concatenated tenant and ID.
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func (srp *TrendProfile) TenantID() string {
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return ConcatenatedKey(srp.Tenant, srp.ID)
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}
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func (tp *TrendProfile) Set(path []string, val any, _ bool) (err error) {
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if len(path) != 1 {
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return ErrWrongPath
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}
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switch path[0] {
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default:
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return ErrWrongPath
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case Tenant:
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tp.Tenant = IfaceAsString(val)
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case ID:
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tp.ID = IfaceAsString(val)
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case Schedule:
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tp.Schedule = IfaceAsString(val)
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case StatID:
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tp.StatID = IfaceAsString(val)
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case Metrics:
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var valA []string
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valA, err = IfaceAsStringSlice(val)
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tp.Metrics = append(tp.Metrics, valA...)
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case TTL:
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tp.TTL, err = IfaceAsDuration(val)
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case QueueLength:
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tp.QueueLength, err = IfaceAsInt(val)
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case MinItems:
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tp.MinItems, err = IfaceAsInt(val)
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case CorrelationType:
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tp.CorrelationType = IfaceAsString(val)
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case Tolerance:
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tp.Tolerance, err = IfaceAsFloat64(val)
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case Stored:
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tp.Stored, err = IfaceAsBool(val)
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case ThresholdIDs:
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var valA []string
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valA, err = IfaceAsStringSlice(val)
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tp.ThresholdIDs = append(tp.ThresholdIDs, valA...)
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}
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return
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}
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func (tp *TrendProfile) Merge(v2 any) {
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vi := v2.(*TrendProfile)
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if len(vi.Tenant) != 0 {
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tp.Tenant = vi.Tenant
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}
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if len(vi.ID) != 0 {
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tp.ID = vi.ID
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}
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if len(vi.Schedule) != 0 {
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tp.Schedule = vi.Schedule
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}
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if len(vi.StatID) != 0 {
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tp.StatID = vi.StatID
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}
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tp.Metrics = append(tp.Metrics, vi.Metrics...)
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tp.ThresholdIDs = append(tp.ThresholdIDs, vi.ThresholdIDs...)
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if vi.Stored {
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tp.Stored = vi.Stored
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}
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if vi.TTL != 0 {
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tp.TTL = vi.TTL
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}
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if vi.QueueLength != 0 {
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tp.QueueLength = vi.QueueLength
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}
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if vi.MinItems != 0 {
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tp.MinItems = vi.MinItems
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}
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if len(vi.CorrelationType) != 0 {
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tp.CorrelationType = vi.CorrelationType
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}
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if vi.Tolerance != 0 {
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tp.Tolerance = vi.Tolerance
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}
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}
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func (tp *TrendProfile) String() string { return ToJSON(tp) }
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func (tp *TrendProfile) FieldAsString(fldPath []string) (_ string, err error) {
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var val any
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if val, err = tp.FieldAsInterface(fldPath); err != nil {
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return
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}
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return IfaceAsString(val), nil
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}
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func (tp *TrendProfile) FieldAsInterface(fldPath []string) (_ any, err error) {
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if len(fldPath) != 1 {
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return nil, ErrNotFound
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}
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switch fldPath[0] {
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default:
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fld, idx := GetPathIndex(fldPath[0])
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if idx != nil {
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switch fld {
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case Metrics:
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if *idx < len(tp.Metrics) {
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return tp.Metrics[*idx], nil
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}
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case ThresholdIDs:
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if *idx < len(tp.ThresholdIDs) {
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return tp.ThresholdIDs[*idx], nil
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}
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}
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}
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return nil, ErrNotFound
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case Tenant:
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return tp.Tenant, nil
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case ID:
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return tp.ID, nil
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case Schedule:
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return tp.Schedule, nil
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case StatID:
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return tp.StatID, nil
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case TTL:
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return tp.TTL, nil
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case QueueLength:
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return tp.QueueLength, nil
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case MinItems:
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return tp.MinItems, nil
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case CorrelationType:
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return tp.CorrelationType, nil
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case Tolerance:
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return tp.Tolerance, nil
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case Stored:
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return tp.Stored, nil
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}
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}
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// Trend represents a collection of metrics with trend analysis.
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type Trend struct {
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tMux sync.RWMutex
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Tenant string
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ID string
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RunTimes []time.Time
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Metrics map[time.Time]map[string]*MetricWithTrend
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CompressedMetrics []byte // if populated, Metrics and RunTimes will be emty
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// indexes help faster processing
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mLast map[string]time.Time // last time a metric was present
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mCounts map[string]int // number of times a metric is present in Metrics
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mTotals map[string]float64 // cached sum, used for average calculations
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tPrfl *TrendProfile // store here the trend profile so we can have it at hands further
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}
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// TrendWithAPIOpts wraps Trend with APIOpts.
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type TrendWithAPIOpts struct {
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*Trend
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APIOpts map[string]any
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}
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// TrendSummary holds the most recent trend metrics.
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type TrendSummary struct {
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Tenant string
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ID string
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Time time.Time
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Metrics map[string]*MetricWithTrend
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}
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// MetricWithTrend contains a metric value with its calculated trend info.
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type MetricWithTrend struct {
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ID string // Metric ID
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Value float64 // Metric Value
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TrendGrowth float64 // Difference between last and previous
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TrendLabel string // *positive, *negative, *constant, N/A
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}
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// NewTrendFromProfile creates an empty trend based on profile configuration.
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func NewTrendFromProfile(tP *TrendProfile) *Trend {
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return &Trend{
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Tenant: tP.Tenant,
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ID: tP.ID,
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RunTimes: make([]time.Time, 0),
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Metrics: make(map[time.Time]map[string]*MetricWithTrend),
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tPrfl: tP,
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}
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}
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func (tr *Trend) TenantID() string {
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return ConcatenatedKey(tr.Tenant, tr.ID)
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}
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// Config returns the trend's profile configuration.
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func (t *Trend) Config() *TrendProfile {
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return t.tPrfl
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}
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func (t *Trend) SetConfig(tp *TrendProfile) {
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t.tPrfl = tp
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}
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// AsTrendSummary creates a summary with the most recent trend data.
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func (t *Trend) AsTrendSummary() (ts *TrendSummary) {
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ts = &TrendSummary{
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Tenant: t.Tenant,
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ID: t.ID,
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Metrics: make(map[string]*MetricWithTrend),
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}
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if len(t.RunTimes) != 0 {
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ts.Time = t.RunTimes[len(t.RunTimes)-1]
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for mID, mWt := range t.Metrics[ts.Time] {
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ts.Metrics[mID] = &MetricWithTrend{
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ID: mWt.ID,
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Value: mWt.Value,
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TrendGrowth: mWt.TrendGrowth,
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TrendLabel: mWt.TrendLabel,
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}
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}
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}
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return
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}
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// Compress creates a compressed version of the trend.
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func (t *Trend) Compress(ms Marshaler, limit int) (tr *Trend, err error) {
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if limit > len(t.RunTimes) {
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return
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}
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tr = &Trend{
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Tenant: t.Tenant,
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ID: t.ID,
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}
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tr.CompressedMetrics, err = ms.Marshal(tr.Metrics)
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if err != nil {
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return
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}
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return tr, nil
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}
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// Uncompress expands a compressed trend.
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func (t *Trend) Uncompress(ms Marshaler) (err error) {
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if t == nil || t.CompressedMetrics == nil {
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return
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}
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err = ms.Unmarshal(t.CompressedMetrics, &t.Metrics)
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if err != nil {
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return
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}
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t.CompressedMetrics = nil
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t.RunTimes = make([]time.Time, len(t.Metrics))
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i := 0
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for key := range t.Metrics {
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t.RunTimes[i] = key
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i++
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}
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slices.SortFunc(t.RunTimes, func(a, b time.Time) int {
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return a.Compare(b)
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})
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return
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}
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// Compile initializes or cleans up the Trend.
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// Safe for concurrent use.
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func (t *Trend) Compile(cleanTtl time.Duration, qLength int) {
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t.cleanup(cleanTtl, qLength)
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if len(t.mTotals) == 0 { // indexes were not yet built
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t.computeIndexes()
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}
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}
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// cleanup removes stale data based on TTL and queue length limits.
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func (t *Trend) cleanup(ttl time.Duration, qLength int) (altered bool) {
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if ttl >= 0 {
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expTime := time.Now().Add(-ttl)
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var expIdx *int
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for i, rT := range t.RunTimes {
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if rT.After(expTime) {
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continue
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}
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expIdx = &i
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delete(t.Metrics, rT)
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}
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if expIdx != nil {
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if len(t.RunTimes)-1 == *expIdx {
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t.RunTimes = make([]time.Time, 0)
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} else {
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t.RunTimes = t.RunTimes[*expIdx+1:]
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}
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altered = true
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}
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}
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diffLen := len(t.RunTimes) - qLength
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if qLength > 0 && diffLen > 0 {
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var rmTms []time.Time
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rmTms, t.RunTimes = t.RunTimes[:diffLen], t.RunTimes[diffLen:]
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for _, rmTm := range rmTms {
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delete(t.Metrics, rmTm)
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}
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altered = true
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}
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if altered {
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t.computeIndexes()
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}
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return
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}
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// computeIndexes rebuilds internal indexes after DB retrieval.
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func (t *Trend) computeIndexes() {
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t.mLast = make(map[string]time.Time)
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t.mCounts = make(map[string]int)
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t.mTotals = make(map[string]float64)
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for _, runTime := range t.RunTimes {
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for _, mWt := range t.Metrics[runTime] {
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t.IndexesAppendMetric(mWt, runTime)
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}
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}
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}
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// IndexesAppendMetric adds a single metric to internal indexes.
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func (t *Trend) IndexesAppendMetric(mWt *MetricWithTrend, rTime time.Time) {
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t.mLast[mWt.ID] = rTime
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t.mCounts[mWt.ID]++
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t.mTotals[mWt.ID] += mWt.Value
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}
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// GetTrendGrowth calculates percentage growth for a metric compared to previous values.
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func (t *Trend) GetTrendGrowth(mID string, mVal float64, correlation string, roundDec int) (tG float64, err error) {
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var prevVal float64
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if _, has := t.mLast[mID]; !has {
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return -1.0, ErrNotFound
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}
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if _, has := t.Metrics[t.mLast[mID]][mID]; !has {
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return -1.0, ErrNotFound
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}
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switch correlation {
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case MetaLast:
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prevVal = t.Metrics[t.mLast[mID]][mID].Value
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case MetaAverage:
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prevVal = t.mTotals[mID] / float64(t.mCounts[mID])
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default:
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return -1.0, ErrCorrelationUndefined
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}
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diffVal := mVal - prevVal
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return Round(diffVal*100/prevVal, roundDec, MetaRoundingMiddle), nil
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}
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// GetTrendLabel determines trend direction based on growth percentage and tolerance.
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// Returns "*positive", "*negative", "*constant", or "N/A" based on the growth value.
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func GetTrendLabel(tGrowth float64, tolerance float64) (lbl string) {
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switch {
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case tGrowth > 0:
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lbl = MetaPositive
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case tGrowth < 0:
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lbl = MetaNegative
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default:
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lbl = MetaConstant
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}
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if math.Abs(tGrowth) <= tolerance { // percentage value of diff is lower than threshold
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lbl = MetaConstant
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}
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return
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}
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// Lock locks the trend mutex.
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func (t *Trend) Lock() {
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t.tMux.Lock()
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}
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// Unlock unlocks the trend mutex.
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func (t *Trend) Unlock() {
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t.tMux.Unlock()
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}
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|
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// RLock locks the trend mutex for reading.
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func (t *Trend) RLock() {
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t.tMux.RLock()
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}
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|
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// RUnlock unlocks the read lock on the trend mutex.
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func (t *Trend) RUnlock() {
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t.tMux.RUnlock()
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}
|
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917
utils/trends_test.go
Normal file
917
utils/trends_test.go
Normal file
@@ -0,0 +1,917 @@
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/*
|
||||
Real-time Online/Offline Charging System (OCS) for Telecom & ISP environments
|
||||
Copyright (C) ITsysCOM GmbH
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation, either version 3 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License
|
||||
along with this program. If not, see <http://www.gnu.org/licenses/>
|
||||
*/
|
||||
|
||||
package utils
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"reflect"
|
||||
"strings"
|
||||
"testing"
|
||||
"time"
|
||||
)
|
||||
|
||||
func TestTrendProfileClone(t *testing.T) {
|
||||
|
||||
original := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "ID",
|
||||
Schedule: "Schedule",
|
||||
StatID: "StatID",
|
||||
Metrics: []string{"metric1", "metric2"},
|
||||
TTL: 10 * time.Minute,
|
||||
QueueLength: 100,
|
||||
MinItems: 10,
|
||||
CorrelationType: "average",
|
||||
Tolerance: 0.05,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"thresh1", "thresh2"},
|
||||
}
|
||||
|
||||
cloned := original.Clone()
|
||||
|
||||
if cloned.Tenant != original.Tenant {
|
||||
t.Errorf("Expected Tenant %s, but got %s", original.Tenant, cloned.Tenant)
|
||||
}
|
||||
if cloned.ID != original.ID {
|
||||
t.Errorf("Expected ID %s, but got %s", original.ID, cloned.ID)
|
||||
}
|
||||
if cloned.Schedule != original.Schedule {
|
||||
t.Errorf("Expected Schedule %s, but got %s", original.Schedule, cloned.Schedule)
|
||||
}
|
||||
if cloned.StatID != original.StatID {
|
||||
t.Errorf("Expected StatID %s, but got %s", original.StatID, cloned.StatID)
|
||||
}
|
||||
if cloned.QueueLength != original.QueueLength {
|
||||
t.Errorf("Expected QueueLength %d, but got %d", original.QueueLength, cloned.QueueLength)
|
||||
}
|
||||
if cloned.TTL != original.TTL {
|
||||
t.Errorf("Expected TTL %v, but got %v", original.TTL, cloned.TTL)
|
||||
}
|
||||
if cloned.MinItems != original.MinItems {
|
||||
t.Errorf("Expected MinItems %d, but got %d", original.MinItems, cloned.MinItems)
|
||||
}
|
||||
if cloned.CorrelationType != original.CorrelationType {
|
||||
t.Errorf("Expected CorrelationType %s, but got %s", original.CorrelationType, cloned.CorrelationType)
|
||||
}
|
||||
if cloned.Tolerance != original.Tolerance {
|
||||
t.Errorf("Expected Tolerance %f, but got %f", original.Tolerance, cloned.Tolerance)
|
||||
}
|
||||
if cloned.Stored != original.Stored {
|
||||
t.Errorf("Expected Stored %v, but got %v", original.Stored, cloned.Stored)
|
||||
}
|
||||
|
||||
if !reflect.DeepEqual(cloned.Metrics, original.Metrics) {
|
||||
t.Errorf("Expected Metrics %v, but got %v", original.Metrics, cloned.Metrics)
|
||||
}
|
||||
if !reflect.DeepEqual(cloned.ThresholdIDs, original.ThresholdIDs) {
|
||||
t.Errorf("Expected ThresholdIDs %v, but got %v", original.ThresholdIDs, cloned.ThresholdIDs)
|
||||
}
|
||||
|
||||
if len(cloned.Metrics) > 0 && &cloned.Metrics[0] == &original.Metrics[0] {
|
||||
t.Errorf("Metrics slice was not deep copied")
|
||||
}
|
||||
if len(cloned.ThresholdIDs) > 0 && &cloned.ThresholdIDs[0] == &original.ThresholdIDs[0] {
|
||||
t.Errorf("ThresholdIDs slice was not deep copied")
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendProfileTenantIDAndTrendProfileWithAPIOpts(t *testing.T) {
|
||||
|
||||
tp := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "trend1",
|
||||
Schedule: "*/5 * * * *",
|
||||
StatID: "StatID",
|
||||
Metrics: []string{"metric1", "metric2"},
|
||||
TTL: 10 * time.Minute,
|
||||
QueueLength: 100,
|
||||
MinItems: 10,
|
||||
CorrelationType: "average",
|
||||
Tolerance: 0.05,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"thresh1", "thresh2"},
|
||||
}
|
||||
|
||||
tenantID := tp.TenantID()
|
||||
|
||||
expectedTenantID := "cgrates.org" + ConcatenatedKeySep + "trend1"
|
||||
if tenantID != expectedTenantID {
|
||||
t.Errorf("Expected TenantID %s, but got %s", expectedTenantID, tenantID)
|
||||
}
|
||||
|
||||
apiOpts := map[string]any{
|
||||
"option1": "value1",
|
||||
"option2": 42,
|
||||
}
|
||||
|
||||
tpWithAPIOpts := &TrendProfileWithAPIOpts{
|
||||
TrendProfile: tp,
|
||||
APIOpts: apiOpts,
|
||||
}
|
||||
|
||||
if tpWithAPIOpts.Tenant != "cgrates.org" {
|
||||
t.Errorf("Expected Tenant %s, but got %s", "cgrates.org", tpWithAPIOpts.Tenant)
|
||||
}
|
||||
if tpWithAPIOpts.ID != "trend1" {
|
||||
t.Errorf("Expected ID %s, but got %s", "trend1", tpWithAPIOpts.ID)
|
||||
}
|
||||
|
||||
expectedAPIOpts := map[string]any{
|
||||
"option1": "value1",
|
||||
"option2": 42,
|
||||
}
|
||||
if !reflect.DeepEqual(tpWithAPIOpts.APIOpts, expectedAPIOpts) {
|
||||
t.Errorf("Expected APIOpts %v, but got %v", expectedAPIOpts, tpWithAPIOpts.APIOpts)
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
func TestIndexesAppendMetric(t *testing.T) {
|
||||
|
||||
trend := &Trend{
|
||||
mLast: make(map[string]time.Time),
|
||||
mCounts: make(map[string]int),
|
||||
mTotals: make(map[string]float64),
|
||||
}
|
||||
|
||||
metric1 := &MetricWithTrend{ID: "metric1", Value: 5.0}
|
||||
metric2 := &MetricWithTrend{ID: "metric2", Value: 3.0}
|
||||
|
||||
rTime1 := time.Now()
|
||||
rTime2 := rTime1.Add(10 * time.Minute)
|
||||
|
||||
trend.IndexesAppendMetric(metric1, rTime1)
|
||||
trend.IndexesAppendMetric(metric2, rTime2)
|
||||
trend.IndexesAppendMetric(metric1, rTime2)
|
||||
|
||||
expectedMLast := map[string]time.Time{
|
||||
"metric1": rTime2,
|
||||
"metric2": rTime2,
|
||||
}
|
||||
if !reflect.DeepEqual(trend.mLast, expectedMLast) {
|
||||
t.Errorf("Expected mLast %v, but got %v", expectedMLast, trend.mLast)
|
||||
}
|
||||
|
||||
expectedMCounts := map[string]int{
|
||||
"metric1": 2,
|
||||
"metric2": 1,
|
||||
}
|
||||
if !reflect.DeepEqual(trend.mCounts, expectedMCounts) {
|
||||
t.Errorf("Expected mCounts %v, but got %v", expectedMCounts, trend.mCounts)
|
||||
}
|
||||
|
||||
expectedMTotals := map[string]float64{
|
||||
"metric1": 10.0,
|
||||
"metric2": 3.0,
|
||||
}
|
||||
if !reflect.DeepEqual(trend.mTotals, expectedMTotals) {
|
||||
t.Errorf("Expected mTotals %v, but got %v", expectedMTotals, trend.mTotals)
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendTenantID(t *testing.T) {
|
||||
trend := &Trend{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "ID",
|
||||
RunTimes: []time.Time{
|
||||
time.Now(),
|
||||
time.Now().Add(-1 * time.Hour),
|
||||
},
|
||||
Metrics: map[time.Time]map[string]*MetricWithTrend{
|
||||
time.Now(): {
|
||||
"metric1": {ID: "metric1", Value: 1.5},
|
||||
"metric2": {ID: "metric2", Value: 2.0},
|
||||
},
|
||||
time.Now().Add(-1 * time.Hour): {
|
||||
"metric1": {ID: "metric1", Value: 1.0},
|
||||
},
|
||||
},
|
||||
CompressedMetrics: []byte{0x00, 0x01},
|
||||
mLast: map[string]time.Time{
|
||||
"metric1": time.Now(),
|
||||
"metric2": time.Now().Add(-1 * time.Hour),
|
||||
},
|
||||
mCounts: map[string]int{
|
||||
"metric1": 2,
|
||||
"metric2": 1,
|
||||
},
|
||||
mTotals: map[string]float64{
|
||||
"metric1": 2.5,
|
||||
"metric2": 2.0,
|
||||
},
|
||||
tPrfl: &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "trendProfileID",
|
||||
Schedule: "0 * * * *",
|
||||
StatID: "statID1",
|
||||
QueueLength: 10,
|
||||
TTL: 5 * time.Minute,
|
||||
MinItems: 1,
|
||||
CorrelationType: "average",
|
||||
Tolerance: 0.1,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"threshold1", "threshold2"},
|
||||
},
|
||||
}
|
||||
|
||||
tenantID := trend.TenantID()
|
||||
|
||||
expectedTenantID := "cgrates.org:ID"
|
||||
if tenantID != expectedTenantID {
|
||||
t.Errorf("Expected TenantID %v, but got %v", expectedTenantID, tenantID)
|
||||
}
|
||||
|
||||
if len(trend.RunTimes) != 2 {
|
||||
t.Errorf("Expected 2 run times, but got %d", len(trend.RunTimes))
|
||||
}
|
||||
|
||||
if len(trend.Metrics) != 2 {
|
||||
t.Errorf("Expected 2 metrics time entries, but got %d", len(trend.Metrics))
|
||||
}
|
||||
|
||||
if trend.tPrfl.QueueLength != 10 {
|
||||
t.Errorf("Expected QueueLength 10, but got %d", trend.tPrfl.QueueLength)
|
||||
}
|
||||
}
|
||||
|
||||
func TestTComputeIndexes(t *testing.T) {
|
||||
runTime1 := time.Now()
|
||||
runTime2 := runTime1.Add(time.Minute)
|
||||
|
||||
trend := &Trend{
|
||||
RunTimes: []time.Time{runTime1, runTime2},
|
||||
Metrics: map[time.Time]map[string]*MetricWithTrend{
|
||||
runTime1: {
|
||||
"metric1": &MetricWithTrend{ID: "metric1", Value: 10.0},
|
||||
"metric2": &MetricWithTrend{ID: "metric2", Value: 20.0},
|
||||
},
|
||||
runTime2: {
|
||||
"metric1": &MetricWithTrend{ID: "metric1", Value: 15.0},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
trend.computeIndexes()
|
||||
|
||||
if trend.mLast["metric1"] != runTime2 {
|
||||
t.Errorf("Expected last time for metric1 to be %v, got %v", runTime2, trend.mLast["metric1"])
|
||||
}
|
||||
|
||||
if trend.mCounts["metric1"] != 2 {
|
||||
t.Errorf("Expected count for metric1 to be 2, got %d", trend.mCounts["metric1"])
|
||||
}
|
||||
|
||||
if trend.mTotals["metric1"] != 25.0 {
|
||||
t.Errorf("Expected total for metric1 to be 25.0, got %f", trend.mTotals["metric1"])
|
||||
}
|
||||
|
||||
if trend.mLast["metric2"] != runTime1 {
|
||||
t.Errorf("Expected last time for metric2 to be %v, got %v", runTime1, trend.mLast["metric2"])
|
||||
}
|
||||
|
||||
if trend.mCounts["metric2"] != 1 {
|
||||
t.Errorf("Expected count for metric2 to be 1, got %d", trend.mCounts["metric2"])
|
||||
}
|
||||
|
||||
if trend.mTotals["metric2"] != 20.0 {
|
||||
t.Errorf("Expected total for metric2 to be 20.0, got %f", trend.mTotals["metric2"])
|
||||
}
|
||||
}
|
||||
|
||||
func TestGetTrendLabel(t *testing.T) {
|
||||
tests := []struct {
|
||||
tGrowth float64
|
||||
tolerance float64
|
||||
expected string
|
||||
}{
|
||||
{1.0, 0.5, MetaPositive},
|
||||
{-1.0, 0.5, MetaNegative},
|
||||
{0.0, 0.5, MetaConstant},
|
||||
{0.3, 0.5, MetaConstant},
|
||||
{-0.3, 0.5, MetaConstant},
|
||||
{0.6, 0.5, MetaPositive},
|
||||
{-0.6, 0.5, MetaNegative},
|
||||
}
|
||||
|
||||
for _, test := range tests {
|
||||
result := GetTrendLabel(test.tGrowth, test.tolerance)
|
||||
if result != test.expected {
|
||||
t.Errorf("For tGrowth: %f and tolerance: %f, expected %s, got %s", test.tGrowth, test.tolerance, test.expected, result)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func TestGetTrendGrowth(t *testing.T) {
|
||||
|
||||
trend := Trend{
|
||||
mLast: map[string]time.Time{},
|
||||
Metrics: map[time.Time]map[string]*MetricWithTrend{},
|
||||
mTotals: map[string]float64{},
|
||||
mCounts: map[string]int{},
|
||||
}
|
||||
|
||||
_, err := trend.GetTrendGrowth("unknownID", 100, MetaLast, 2)
|
||||
if !errors.Is(err, ErrNotFound) {
|
||||
t.Errorf("Expected error ErrNotFound, got: %v", err)
|
||||
}
|
||||
|
||||
now := time.Now()
|
||||
trend.mLast["metric1"] = now
|
||||
|
||||
_, err = trend.GetTrendGrowth("metric1", 100, MetaLast, 2)
|
||||
if !errors.Is(err, ErrNotFound) {
|
||||
t.Errorf("Expected error ErrNotFound, got: %v", err)
|
||||
}
|
||||
|
||||
trend.Metrics = map[time.Time]map[string]*MetricWithTrend{
|
||||
now: {
|
||||
"metric1": {ID: "metric1", Value: 80},
|
||||
},
|
||||
}
|
||||
|
||||
got, err := trend.GetTrendGrowth("metric1", 100, MetaLast, 2)
|
||||
if err != nil || got != 25.0 {
|
||||
t.Errorf("Mismatch for MetaLast correlation. Got: %v, expected: %v", got, 25.0)
|
||||
}
|
||||
|
||||
trend.mTotals = map[string]float64{
|
||||
"metric1": 400,
|
||||
}
|
||||
trend.mCounts = map[string]int{
|
||||
"metric1": 4,
|
||||
}
|
||||
|
||||
got, err = trend.GetTrendGrowth("metric1", 120, MetaAverage, 2)
|
||||
if err != nil || got != 20.0 {
|
||||
t.Errorf("Mismatch for MetaAverage correlation. Got: %v, expected: %v", got, 20.0)
|
||||
}
|
||||
|
||||
_, err = trend.GetTrendGrowth("metric1", 100, "invalidCorrelation", 2)
|
||||
if !errors.Is(err, ErrCorrelationUndefined) {
|
||||
t.Errorf("Expected error ErrCorrelationUndefined, got: %v", err)
|
||||
}
|
||||
}
|
||||
|
||||
func TestNewTrendFromProfile(t *testing.T) {
|
||||
profile := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "trendProfileID",
|
||||
Schedule: "@every 1sec",
|
||||
StatID: "statID1",
|
||||
QueueLength: 10,
|
||||
TTL: 5 * time.Minute,
|
||||
MinItems: 1,
|
||||
CorrelationType: "average",
|
||||
Tolerance: 0.1,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"threshold1", "threshold2"},
|
||||
}
|
||||
|
||||
trend := NewTrendFromProfile(profile)
|
||||
|
||||
if trend.Tenant != profile.Tenant {
|
||||
t.Errorf("Expected Tenant %s, got %s", profile.Tenant, trend.Tenant)
|
||||
}
|
||||
if trend.ID != profile.ID {
|
||||
t.Errorf("Expected ID %s, got %s", profile.ID, trend.ID)
|
||||
}
|
||||
if trend.RunTimes == nil {
|
||||
t.Errorf("Expected RunTimes to be initialized, got nil")
|
||||
}
|
||||
if len(trend.RunTimes) != 0 {
|
||||
t.Errorf("Expected RunTimes to be empty, got length %d", len(trend.RunTimes))
|
||||
}
|
||||
if trend.Metrics == nil {
|
||||
t.Errorf("Expected Metrics to be initialized, got nil")
|
||||
}
|
||||
if len(trend.Metrics) != 0 {
|
||||
t.Errorf("Expected Metrics to be empty, got length %d", len(trend.Metrics))
|
||||
}
|
||||
if trend.tPrfl != profile {
|
||||
t.Errorf("Expected tPrfl to point to the original profile, got a different value")
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendProfileFieldAsString(t *testing.T) {
|
||||
tests := []struct {
|
||||
name string
|
||||
fldPath []string
|
||||
err error
|
||||
val any
|
||||
}{
|
||||
{ID, []string{ID}, nil, "Trend1"},
|
||||
{Tenant, []string{Tenant}, nil, "cgrates.org"},
|
||||
{Schedule, []string{Schedule}, nil, "@every 1m"},
|
||||
{StatID, []string{StatID}, nil, "Stat1"},
|
||||
{Metrics, []string{Metrics + "[0]"}, nil, "*acc"},
|
||||
{Metrics, []string{Metrics + "[1]"}, nil, "*tcd"},
|
||||
{TTL, []string{TTL}, nil, 10 * time.Minute},
|
||||
{QueueLength, []string{QueueLength}, nil, 100},
|
||||
{MinItems, []string{MinItems}, nil, 10},
|
||||
{CorrelationType, []string{CorrelationType}, nil, "*average"},
|
||||
{Tolerance, []string{Tolerance}, nil, 0.05},
|
||||
{Stored, []string{Stored}, nil, true},
|
||||
{ThresholdIDs, []string{ThresholdIDs + "[0]"}, nil, "Thresh1"},
|
||||
{ThresholdIDs, []string{ThresholdIDs + "[1]"}, nil, "Thresh2"},
|
||||
{"NonExistingField", []string{"Field1"}, ErrNotFound, nil},
|
||||
}
|
||||
rp := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "Trend1",
|
||||
Schedule: "@every 1m",
|
||||
StatID: "Stat1",
|
||||
Metrics: []string{"*acc", "*tcd"},
|
||||
TTL: 10 * time.Minute,
|
||||
QueueLength: 100,
|
||||
MinItems: 10,
|
||||
CorrelationType: "*average",
|
||||
Tolerance: 0.05,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"Thresh1", "Thresh2"},
|
||||
}
|
||||
|
||||
for _, tc := range tests {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
val, err := rp.FieldAsInterface(tc.fldPath)
|
||||
if tc.err != nil {
|
||||
if err == nil {
|
||||
t.Error("expect to receive an error")
|
||||
}
|
||||
if tc.err != err {
|
||||
t.Errorf("expected %v,received %v", tc.err, err)
|
||||
}
|
||||
return
|
||||
}
|
||||
if err != nil {
|
||||
t.Errorf("unexpected error %v", err)
|
||||
}
|
||||
if val != tc.val {
|
||||
t.Errorf("expected %v,received %v", tc.val, val)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendCleanUp(t *testing.T) {
|
||||
tm := time.Now().Add(-19 * time.Second)
|
||||
tm2 := tm.Add(15 * time.Second)
|
||||
tm3 := time.Now().Add(1)
|
||||
tm4 := time.Now().Add(-5 * time.Second)
|
||||
tm5 := time.Now().Add(-3 * time.Second)
|
||||
tr := &Trend{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "TREND1",
|
||||
RunTimes: []time.Time{
|
||||
tm,
|
||||
tm2,
|
||||
tm3,
|
||||
tm4,
|
||||
tm5,
|
||||
},
|
||||
Metrics: map[time.Time]map[string]*MetricWithTrend{
|
||||
tm: {
|
||||
MetaTCC: {ID: MetaTCC, Value: 13, TrendGrowth: -1, TrendLabel: NotAvailable},
|
||||
MetaACC: {ID: MetaACC, Value: 13, TrendGrowth: -1, TrendLabel: NotAvailable},
|
||||
},
|
||||
tm2: {
|
||||
MetaTCC: {ID: MetaTCC, Value: 30, TrendGrowth: 120, TrendLabel: MetaPositive},
|
||||
MetaACC: {ID: MetaACC, Value: 15, TrendGrowth: 4, TrendLabel: MetaPositive},
|
||||
},
|
||||
tm3: {
|
||||
MetaTCC: {ID: MetaTCC, Value: 30, TrendGrowth: 120, TrendLabel: MetaPositive},
|
||||
MetaACC: {ID: MetaACC, Value: 15, TrendGrowth: 4, TrendLabel: MetaPositive},
|
||||
},
|
||||
tm4: {
|
||||
MetaTCC: {ID: MetaTCC, Value: 30, TrendGrowth: 120, TrendLabel: MetaPositive},
|
||||
MetaACC: {ID: MetaACC, Value: 15, TrendGrowth: 4, TrendLabel: MetaPositive},
|
||||
},
|
||||
tm5: {
|
||||
MetaTCC: {ID: MetaTCC, Value: 30, TrendGrowth: 120, TrendLabel: MetaPositive},
|
||||
MetaACC: {ID: MetaACC, Value: 15, TrendGrowth: 4, TrendLabel: MetaPositive},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
tests := []struct {
|
||||
name string
|
||||
ttl time.Duration
|
||||
tr *Trend
|
||||
qLength int
|
||||
altered bool
|
||||
runtimesmetriclens int
|
||||
}{
|
||||
{"TTLlgThan0", 10 * time.Second, tr, 3, true, 3},
|
||||
{"QueueLenLg0", -1, tr, 2, true, 2},
|
||||
{"TLLExpiredAll", 2 * time.Second, tr, 0, true, 0},
|
||||
}
|
||||
for _, tc := range tests {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
altered := tc.tr.cleanup(tc.ttl, tc.qLength)
|
||||
if tc.altered {
|
||||
if !altered {
|
||||
t.Errorf("expected trend to be altered")
|
||||
}
|
||||
if len(tc.tr.RunTimes) != tc.runtimesmetriclens || len(tc.tr.Metrics) != tc.runtimesmetriclens {
|
||||
t.Errorf("expected len to be %d,got %d metrics,%d runtimes", tc.runtimesmetriclens, len(tc.tr.Metrics), len(tc.tr.RunTimes))
|
||||
}
|
||||
|
||||
return
|
||||
}
|
||||
if altered {
|
||||
t.Error("expected trend to not be altered")
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendProfileString(t *testing.T) {
|
||||
profile := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "Trend1",
|
||||
Schedule: "@every 1m",
|
||||
StatID: "Stat1",
|
||||
Metrics: []string{"*acc", "*tcd"},
|
||||
TTL: 10 * time.Minute,
|
||||
QueueLength: 100,
|
||||
MinItems: 10,
|
||||
CorrelationType: "*average",
|
||||
Tolerance: 0.05,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"Thresh1", "Thresh2"},
|
||||
}
|
||||
|
||||
jsonStr := profile.String()
|
||||
if jsonStr == "" {
|
||||
t.Errorf("Expected non-empty JSON string representation of TrendProfile")
|
||||
}
|
||||
|
||||
expectedFields := []string{
|
||||
`"cgrates.org"`, `"Trend1"`, `"@every 1m"`, `"Stat1"`,
|
||||
`"*acc"`, `"*tcd"`, `"*average"`, `true`, `"Thresh1"`, `"Thresh2"`,
|
||||
}
|
||||
|
||||
for _, field := range expectedFields {
|
||||
if !strings.Contains(jsonStr, field) {
|
||||
t.Errorf("Expected JSON output to contain field: %s", field)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendProfileFieldAssString(t *testing.T) {
|
||||
tests := []struct {
|
||||
name string
|
||||
fldPath []string
|
||||
expected string
|
||||
hasError bool
|
||||
}{
|
||||
{
|
||||
name: "Valid Tenant Field",
|
||||
fldPath: []string{"Tenant"},
|
||||
expected: "cgrates.org",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Valid ID Field",
|
||||
fldPath: []string{"ID"},
|
||||
expected: "Trend1",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Valid Schedule Field",
|
||||
fldPath: []string{"Schedule"},
|
||||
expected: "@every 1m",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Invalid Field Path",
|
||||
fldPath: []string{"NonExistentField"},
|
||||
expected: "",
|
||||
hasError: true,
|
||||
},
|
||||
}
|
||||
|
||||
tp := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "Trend1",
|
||||
Schedule: "@every 1m",
|
||||
StatID: "Stat1",
|
||||
Metrics: []string{"*acc", "*tcd"},
|
||||
TTL: 10 * time.Minute,
|
||||
QueueLength: 100,
|
||||
MinItems: 10,
|
||||
CorrelationType: "*average",
|
||||
Tolerance: 0.05,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"Thresh1", "Thresh2"},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
result, err := tp.FieldAsString(tt.fldPath)
|
||||
|
||||
if tt.hasError && err == nil {
|
||||
t.Errorf("Expected error for fldPath %v, but got none", tt.fldPath)
|
||||
} else if !tt.hasError && err != nil {
|
||||
t.Errorf("Expected no error for fldPath %v, but got: %v", tt.fldPath, err)
|
||||
}
|
||||
|
||||
if result != tt.expected {
|
||||
t.Errorf("For fldPath %v, expected %v, but got %v", tt.fldPath, tt.expected, result)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendProfileSet(t *testing.T) {
|
||||
tp := &TrendProfile{
|
||||
Tenant: "cgrates.org",
|
||||
ID: "Trend1",
|
||||
Schedule: "@every 1m",
|
||||
StatID: "Stat1",
|
||||
Metrics: []string{"*acc", "*tcd"},
|
||||
TTL: 10 * time.Minute,
|
||||
QueueLength: 100,
|
||||
MinItems: 10,
|
||||
CorrelationType: "*average",
|
||||
Tolerance: 0.05,
|
||||
Stored: true,
|
||||
ThresholdIDs: []string{"Thresh1", "Thresh2"},
|
||||
}
|
||||
|
||||
tests := []struct {
|
||||
name string
|
||||
path []string
|
||||
val any
|
||||
expected any
|
||||
hasError bool
|
||||
}{
|
||||
{
|
||||
name: "Set Tenant",
|
||||
path: []string{Tenant},
|
||||
val: "newTenant",
|
||||
expected: "newTenant",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set ID",
|
||||
path: []string{ID},
|
||||
val: "newID",
|
||||
expected: "newID",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set Schedule",
|
||||
path: []string{Schedule},
|
||||
val: "@every 2m",
|
||||
expected: "@every 2m",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set StatID",
|
||||
path: []string{StatID},
|
||||
val: "newStatID",
|
||||
expected: "newStatID",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set Metrics",
|
||||
path: []string{Metrics},
|
||||
val: []string{"*newMetric"},
|
||||
expected: []string{"*acc", "*tcd", "*newMetric"},
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set TTL",
|
||||
path: []string{TTL},
|
||||
val: "15m",
|
||||
expected: 15 * time.Minute,
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set QueueLength",
|
||||
path: []string{QueueLength},
|
||||
val: 50,
|
||||
expected: 50,
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set MinItems",
|
||||
path: []string{MinItems},
|
||||
val: 20,
|
||||
expected: 20,
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set CorrelationType",
|
||||
path: []string{CorrelationType},
|
||||
val: "*sum",
|
||||
expected: "*sum",
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set Tolerance",
|
||||
path: []string{Tolerance},
|
||||
val: 0.1,
|
||||
expected: 0.1,
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set Stored",
|
||||
path: []string{Stored},
|
||||
val: false,
|
||||
expected: false,
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set ThresholdIDs",
|
||||
path: []string{ThresholdIDs},
|
||||
val: []string{"Thresh3", "Thresh4"},
|
||||
expected: []string{"Thresh1", "Thresh2", "Thresh3", "Thresh4"},
|
||||
hasError: false,
|
||||
},
|
||||
{
|
||||
name: "Set Invalid Path",
|
||||
path: []string{"InvalidPath"},
|
||||
val: "invalid",
|
||||
expected: nil,
|
||||
hasError: true,
|
||||
},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
err := tp.Set(tt.path, tt.val, false)
|
||||
|
||||
if tt.hasError && err == nil {
|
||||
t.Errorf("Expected error for path %v, but got none", tt.path)
|
||||
} else if !tt.hasError && err != nil {
|
||||
t.Errorf("Expected no error for path %v, but got: %v", tt.path, err)
|
||||
}
|
||||
|
||||
switch tt.path[0] {
|
||||
case Tenant:
|
||||
if tp.Tenant != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.Tenant)
|
||||
}
|
||||
case ID:
|
||||
if tp.ID != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.ID)
|
||||
}
|
||||
case Schedule:
|
||||
if tp.Schedule != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.Schedule)
|
||||
}
|
||||
case StatID:
|
||||
if tp.StatID != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.StatID)
|
||||
}
|
||||
case Metrics:
|
||||
if len(tp.Metrics) != len(tt.expected.([]string)) {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.Metrics)
|
||||
} else {
|
||||
for i := range tp.Metrics {
|
||||
if tp.Metrics[i] != tt.expected.([]string)[i] {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.Metrics)
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
case TTL:
|
||||
if tp.TTL != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.TTL)
|
||||
}
|
||||
case QueueLength:
|
||||
if tp.QueueLength != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.QueueLength)
|
||||
}
|
||||
case MinItems:
|
||||
if tp.MinItems != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.MinItems)
|
||||
}
|
||||
case CorrelationType:
|
||||
if tp.CorrelationType != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.CorrelationType)
|
||||
}
|
||||
case Tolerance:
|
||||
if tp.Tolerance != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.Tolerance)
|
||||
}
|
||||
case Stored:
|
||||
if tp.Stored != tt.expected {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.Stored)
|
||||
}
|
||||
case ThresholdIDs:
|
||||
if len(tp.ThresholdIDs) != len(tt.expected.([]string)) {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.ThresholdIDs)
|
||||
} else {
|
||||
for i := range tp.ThresholdIDs {
|
||||
if tp.ThresholdIDs[i] != tt.expected.([]string)[i] {
|
||||
t.Errorf("For path %v, expected %v, but got %v", tt.path, tt.expected, tp.ThresholdIDs)
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestTrendProfileMergeV2(t *testing.T) {
|
||||
tp1 := &TrendProfile{
|
||||
Tenant: "tenant1",
|
||||
ID: "id1",
|
||||
Schedule: "schedule1",
|
||||
StatID: "stat1",
|
||||
Metrics: []string{"metric1", "metric2"},
|
||||
ThresholdIDs: []string{"threshold1"},
|
||||
Stored: true,
|
||||
TTL: 10,
|
||||
QueueLength: 100,
|
||||
MinItems: 5,
|
||||
CorrelationType: "type1",
|
||||
Tolerance: 0.5,
|
||||
}
|
||||
|
||||
tp2 := &TrendProfile{
|
||||
Tenant: "tenant2",
|
||||
ID: "id2",
|
||||
Schedule: "schedule2",
|
||||
StatID: "stat2",
|
||||
Metrics: []string{"metric3", "metric4"},
|
||||
ThresholdIDs: []string{"threshold2"},
|
||||
Stored: true,
|
||||
TTL: 20,
|
||||
QueueLength: 200,
|
||||
MinItems: 10,
|
||||
CorrelationType: "type2",
|
||||
Tolerance: 1.5,
|
||||
}
|
||||
|
||||
tp1.Merge(tp2)
|
||||
|
||||
if tp1.Tenant != "tenant2" {
|
||||
t.Errorf("Expected Tenant to be 'tenant2', but got: %s", tp1.Tenant)
|
||||
}
|
||||
|
||||
if tp1.ID != "id2" {
|
||||
t.Errorf("Expected ID to be 'id2', but got: %s", tp1.ID)
|
||||
}
|
||||
|
||||
if tp1.Schedule != "schedule2" {
|
||||
t.Errorf("Expected Schedule to be 'schedule2', but got: %s", tp1.Schedule)
|
||||
}
|
||||
|
||||
if tp1.StatID != "stat2" {
|
||||
t.Errorf("Expected StatID to be 'stat2', but got: %s", tp1.StatID)
|
||||
}
|
||||
|
||||
expectedMetrics := []string{"metric1", "metric2", "metric3", "metric4"}
|
||||
if len(tp1.Metrics) != len(expectedMetrics) {
|
||||
t.Errorf("Expected Metrics to be %v, but got: %v", expectedMetrics, tp1.Metrics)
|
||||
}
|
||||
|
||||
expectedThresholdIDs := []string{"threshold1", "threshold2"}
|
||||
if len(tp1.ThresholdIDs) != len(expectedThresholdIDs) {
|
||||
t.Errorf("Expected ThresholdIDs to be %v, but got: %v", expectedThresholdIDs, tp1.ThresholdIDs)
|
||||
}
|
||||
|
||||
if tp1.Stored != true {
|
||||
t.Errorf("Expected Stored to be 'true', but got: %v", tp1.Stored)
|
||||
}
|
||||
|
||||
if tp1.TTL != 20 {
|
||||
t.Errorf("Expected TTL to be 20, but got: %d", tp1.TTL)
|
||||
}
|
||||
|
||||
if tp1.QueueLength != 200 {
|
||||
t.Errorf("Expected QueueLength to be 200, but got: %d", tp1.QueueLength)
|
||||
}
|
||||
|
||||
if tp1.MinItems != 10 {
|
||||
t.Errorf("Expected MinItems to be 10, but got: %d", tp1.MinItems)
|
||||
}
|
||||
|
||||
if tp1.CorrelationType != "type2" {
|
||||
t.Errorf("Expected CorrelationType to be 'type2', but got: %s", tp1.CorrelationType)
|
||||
}
|
||||
|
||||
if tp1.Tolerance != 1.5 {
|
||||
t.Errorf("Expected Tolerance to be 1.5, but got: %f", tp1.Tolerance)
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user