mirror of
https://github.com/k8sgpt-ai/k8sgpt.git
synced 2026-01-24 06:01:30 +00:00
feat: log analyzer (#744)
* feat: wip log analyzer Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * chore: turns off log by default Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * chore: turns off log by default Signed-off-by: Alex Jones <alexsimonjones@gmail.com> --------- Signed-off-by: Alex Jones <alexsimonjones@gmail.com> Co-authored-by: Thomas Schuetz <38893055+thschue@users.noreply.github.com>
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@@ -45,6 +45,13 @@ var addCmd = &cobra.Command{
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for _, filter := range availableFilters {
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if filter == f {
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foundFilter = true
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// WARNING: This is to enable users correctly understand implications
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// of enabling logs
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if filter == "Log" {
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color.Yellow("Warning: by enabling logs, you will be sending potentially sensitive data to the AI backend.")
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}
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break
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}
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}
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@@ -49,6 +49,7 @@ var additionalAnalyzerMap = map[string]common.IAnalyzer{
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"HorizontalPodAutoScaler": HpaAnalyzer{},
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"PodDisruptionBudget": PdbAnalyzer{},
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"NetworkPolicy": NetworkPolicyAnalyzer{},
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"Log": LogAnalyzer{},
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}
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func ListFilters() ([]string, []string, []string) {
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116
pkg/analyzer/log.go
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116
pkg/analyzer/log.go
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@@ -0,0 +1,116 @@
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/*
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Copyright 2023 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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"regexp"
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"strings"
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"github.com/k8sgpt-ai/k8sgpt/pkg/common"
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"github.com/k8sgpt-ai/k8sgpt/pkg/util"
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v1 "k8s.io/api/core/v1"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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)
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var (
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errorPattern = regexp.MustCompile(`(error|exception|fail)`)
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tailLines = int64(100)
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)
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type LogAnalyzer struct {
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}
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func (LogAnalyzer) Analyze(a common.Analyzer) ([]common.Result, error) {
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kind := "Log"
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AnalyzerErrorsMetric.DeletePartialMatch(map[string]string{
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"analyzer_name": kind,
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})
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// search all namespaces for pods that are not running
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list, err := a.Client.GetClient().CoreV1().Pods(a.Namespace).List(a.Context, metav1.ListOptions{})
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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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// Iterate through each pod
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for _, pod := range list.Items {
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var failures []common.Failure
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podName := pod.Name
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podLogOptions := v1.PodLogOptions{
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TailLines: &tailLines,
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}
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podLogs, err := a.Client.Client.CoreV1().Pods(pod.Namespace).GetLogs(podName, &podLogOptions).DoRaw(a.Context)
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if err != nil {
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failures = append(failures, common.Failure{
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Text: fmt.Sprintf("Error %s from Pod %s", err.Error(), pod.Name),
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Sensitive: []common.Sensitive{
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{
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Unmasked: pod.Name,
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Masked: util.MaskString(pod.Name),
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},
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},
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})
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} else {
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rawlogs := string(podLogs)
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if errorPattern.MatchString(rawlogs) {
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failures = append(failures, common.Failure{
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Text: printErrorLines(pod.Name, pod.Namespace, rawlogs, errorPattern),
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Sensitive: []common.Sensitive{
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{
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Unmasked: pod.Name,
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Masked: util.MaskString(pod.Name),
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},
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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", pod.Namespace, pod.Name)] = common.PreAnalysis{
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FailureDetails: failures,
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Pod: pod,
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}
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AnalyzerErrorsMetric.WithLabelValues(kind, pod.Name, pod.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: "Pod",
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Name: key,
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Error: value.FailureDetails,
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}
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parent, _ := util.GetParent(a.Client, value.Pod.ObjectMeta)
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currentAnalysis.ParentObject = parent
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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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func printErrorLines(podName, namespace, logs string, errorPattern *regexp.Regexp) string {
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// Split the logs into lines
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logLines := strings.Split(logs, "\n")
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// Check each line for errors and print the lines containing errors
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for _, line := range logLines {
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if errorPattern.MatchString(line) {
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return line
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}
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}
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return ""
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}
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