mirror of
https://github.com/k8sgpt-ai/k8sgpt.git
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108 lines
2.8 KiB
Go
108 lines
2.8 KiB
Go
/*
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Copyright 2025 The K8sGPT Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package analyzer
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import (
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"fmt"
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"github.com/k8sgpt-ai/k8sgpt/pkg/common"
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"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
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"github.com/k8sgpt-ai/k8sgpt/pkg/util"
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v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/runtime/schema"
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)
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type JobAnalyzer struct{}
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func (analyzer JobAnalyzer) Analyze(a common.Analyzer) ([]common.Result, error) {
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kind := "Job"
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apiDoc := kubernetes.K8sApiReference{
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Kind: kind,
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ApiVersion: schema.GroupVersion{
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Group: "batch",
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Version: "v1",
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},
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OpenapiSchema: a.OpenapiSchema,
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}
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AnalyzerErrorsMetric.DeletePartialMatch(map[string]string{
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"analyzer_name": kind,
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})
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JobList, err := a.Client.GetClient().BatchV1().Jobs(a.Namespace).List(a.Context, v1.ListOptions{LabelSelector: a.LabelSelector})
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if err != nil {
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return nil, err
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}
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var preAnalysis = map[string]common.PreAnalysis{}
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for _, Job := range JobList.Items {
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var failures []common.Failure
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if Job.Spec.Suspend != nil && *Job.Spec.Suspend {
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doc := apiDoc.GetApiDocV2("spec.suspend")
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failures = append(failures, common.Failure{
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Text: fmt.Sprintf("Job %s is suspended", Job.Name),
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KubernetesDoc: doc,
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Sensitive: []common.Sensitive{
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{
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Unmasked: Job.Namespace,
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Masked: util.MaskString(Job.Namespace),
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},
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{
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Unmasked: Job.Name,
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Masked: util.MaskString(Job.Name),
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},
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},
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})
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}
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if Job.Status.Failed > 0 {
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doc := apiDoc.GetApiDocV2("status.failed")
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failures = append(failures, common.Failure{
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Text: fmt.Sprintf("Job %s has failed", Job.Name),
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KubernetesDoc: doc,
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Sensitive: []common.Sensitive{
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{
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Unmasked: Job.Namespace,
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Masked: util.MaskString(Job.Namespace),
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},
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{
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Unmasked: Job.Name,
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Masked: util.MaskString(Job.Name),
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},
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},
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})
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}
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if len(failures) > 0 {
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preAnalysis[fmt.Sprintf("%s/%s", Job.Namespace, Job.Name)] = common.PreAnalysis{
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FailureDetails: failures,
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}
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AnalyzerErrorsMetric.WithLabelValues(kind, Job.Name, Job.Namespace).Set(float64(len(failures)))
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}
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}
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for key, value := range preAnalysis {
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currentAnalysis := common.Result{
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Kind: kind,
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Name: key,
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Error: value.FailureDetails,
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}
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a.Results = append(a.Results, currentAnalysis)
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}
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return a.Results, nil
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}
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