feat: dump (#1322)

* feat: reverting the cncf runners

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* feat: creating a dump file for debugging

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* chore: ran the linter

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* chore: updated

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* chore: updated

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* chore: improved the function readme

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* feat: added k8sgpt version info

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* feat: added k8sgpt version info

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

* chore: added additional command

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

---------

Signed-off-by: AlexsJones <alexsimonjones@gmail.com>

README.md

@@ -335,6 +335,13 @@ The stats mode allows for debugging and understanding the time taken by an analy
 - Analyzer Service took 38.583359166s
 ```
 
+_Diagnostic information_
+
+To collect diagnostic information use the following command to create a `dump_<timestamp>_json` in your local directory.
+```
+k8sgpt dump
+```
+
 </details>
 
 ## LLM AI Backends

cmd/dump/dump.go

@@ -0,0 +1,113 @@
+/*
+Copyright 2023 The K8sGPT Authors.
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+    http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+*/
+
+package dump
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"os"
+	"time"
+
+	"github.com/fatih/color"
+	"github.com/k8sgpt-ai/k8sgpt/pkg/ai"
+	"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
+	"github.com/spf13/cobra"
+	"github.com/spf13/viper"
+	"k8s.io/apimachinery/pkg/version"
+)
+
+type K8sGPTInfo struct {
+	Version string
+	Commit  string
+	Date    string
+}
+type DumpOut struct {
+	AIConfiguration        ai.AIConfiguration
+	ActiveFilters          []string
+	KubenetesServerVersion *version.Info
+	K8sGPTInfo             K8sGPTInfo
+}
+
+var DumpCmd = &cobra.Command{
+	Use:   "dump",
+	Short: "Creates a dumpfile for debugging issues with K8sGPT",
+	Long:  `The dump command will create a dump.*.json which will contain K8sGPT non-sensitive configuration information.`,
+	Run: func(cmd *cobra.Command, args []string) {
+
+		// Fetch the configuration object(s)
+		// get ai configuration
+		var configAI ai.AIConfiguration
+		err := viper.UnmarshalKey("ai", &configAI)
+		if err != nil {
+			color.Red("Error: %v", err)
+			os.Exit(1)
+		}
+
+		var newProvider []ai.AIProvider
+		for _, config := range configAI.Providers {
+			// we blank out the custom headers for data protection reasons
+			config.CustomHeaders = make([]http.Header, 0)
+			// blank out the password
+			if len(config.Password) > 4 {
+				config.Password = config.Password[:4] + "***"
+			} else {
+				// If the password is shorter than 4 characters
+				config.Password = "***"
+			}
+			newProvider = append(newProvider, config)
+		}
+		configAI.Providers = newProvider
+		activeFilters := viper.GetStringSlice("active_filters")
+		kubecontext := viper.GetString("kubecontext")
+		kubeconfig := viper.GetString("kubeconfig")
+		client, err := kubernetes.NewClient(kubecontext, kubeconfig)
+		if err != nil {
+			color.Red("Error: %v", err)
+			os.Exit(1)
+		}
+		v, err := client.Client.Discovery().ServerVersion()
+		if err != nil {
+			color.Yellow("Could not find kubernetes server version")
+		}
+		var dumpOut DumpOut = DumpOut{
+			AIConfiguration:        configAI,
+			ActiveFilters:          activeFilters,
+			KubenetesServerVersion: v,
+			K8sGPTInfo: K8sGPTInfo{
+				Version: viper.GetString("Version"),
+				Commit:  viper.GetString("Commit"),
+				Date:    viper.GetString("Date"),
+			},
+		}
+		// Serialize dumpOut to JSON
+		jsonData, err := json.MarshalIndent(dumpOut, "", " ")
+		if err != nil {
+			color.Red("Error: %v", err)
+			os.Exit(1)
+		}
+		// Write JSON data to file
+		f := fmt.Sprintf("dump_%s.json", time.Now().Format("20060102150405"))
+		err = os.WriteFile(f, jsonData, 0644)
+		if err != nil {
+			color.Red("Error: %v", err)
+			os.Exit(1)
+		}
+		color.Green("Dump created successfully: %s", f)
+	},
+}
+
+func init() {
+
+}

cmd/root.go

@@ -23,6 +23,7 @@ import (
 	"github.com/k8sgpt-ai/k8sgpt/cmd/auth"
 	"github.com/k8sgpt-ai/k8sgpt/cmd/cache"
 	customanalyzer "github.com/k8sgpt-ai/k8sgpt/cmd/customAnalyzer"
+	"github.com/k8sgpt-ai/k8sgpt/cmd/dump"
 	"github.com/k8sgpt-ai/k8sgpt/cmd/filters"
 	"github.com/k8sgpt-ai/k8sgpt/cmd/generate"
 	"github.com/k8sgpt-ai/k8sgpt/cmd/integration"
@@ -57,6 +58,9 @@ func Execute(v string, c string, d string) {
 	Version = v
 	Commit = c
 	Date = d
+	viper.Set("Version", Version)
+	viper.Set("Commit", Commit)
+	viper.Set("Date", Date)
 	err := rootCmd.Execute()
 	if err != nil {
 		os.Exit(1)
@@ -70,6 +74,7 @@ func init() {
 
 	rootCmd.AddCommand(auth.AuthCmd)
 	rootCmd.AddCommand(analyze.AnalyzeCmd)
+	rootCmd.AddCommand(dump.DumpCmd)
 	rootCmd.AddCommand(filters.FiltersCmd)
 	rootCmd.AddCommand(generate.GenerateCmd)
 	rootCmd.AddCommand(integration.IntegrationCmd)

pkg/ai/amazonbedrock.go

@@ -20,8 +20,8 @@ type AmazonBedRockClient struct {
 	client      *bedrockruntime.BedrockRuntime
 	model       string
 	temperature float32
-	topP		float32
+	topP        float32
-	maxTokens	int
+	maxTokens   int
 }
 
 // Amazon BedRock support region list US East (N. Virginia),US West (Oregon),Asia Pacific (Singapore),Asia Pacific (Tokyo),Europe (Frankfurt)
@@ -48,9 +48,9 @@ const (
 	ModelAnthropicClaudeV2        = "anthropic.claude-v2"
 	ModelAnthropicClaudeV1        = "anthropic.claude-v1"
 	ModelAnthropicClaudeInstantV1 = "anthropic.claude-instant-v1"
-	ModelA21J2UltraV1			  = "ai21.j2-ultra-v1"
+	ModelA21J2UltraV1             = "ai21.j2-ultra-v1"
-	ModelA21J2JumboInstruct		  = "ai21.j2-jumbo-instruct"
+	ModelA21J2JumboInstruct       = "ai21.j2-jumbo-instruct"
-	ModelAmazonTitanExpressV1	  = "amazon.titan-text-express-v1"
+	ModelAmazonTitanExpressV1     = "amazon.titan-text-express-v1"
 )
 
 var BEDROCK_MODELS = []string{
@@ -125,34 +125,33 @@ func (a *AmazonBedRockClient) GetCompletion(ctx context.Context, prompt string)
 	// Prepare the input data for the model invocation based on the model & the Response Body per model as well.
 	var request map[string]interface{}
 	switch a.model {
-    case ModelAnthropicClaudeV2, ModelAnthropicClaudeV1, ModelAnthropicClaudeInstantV1:
+	case ModelAnthropicClaudeV2, ModelAnthropicClaudeV1, ModelAnthropicClaudeInstantV1:
-        request = map[string]interface{}{
+		request = map[string]interface{}{
-            "prompt":               fmt.Sprintf("\n\nHuman: %s  \n\nAssistant:", prompt),
+			"prompt":               fmt.Sprintf("\n\nHuman: %s  \n\nAssistant:", prompt),
-            "max_tokens_to_sample": a.maxTokens,
+			"max_tokens_to_sample": a.maxTokens,
-            "temperature":          a.temperature,
+			"temperature":          a.temperature,
-            "top_p":                a.topP,
+			"top_p":                a.topP,
-        }
+		}
 	case ModelA21J2UltraV1, ModelA21J2JumboInstruct:
-        request = map[string]interface{}{
+		request = map[string]interface{}{
-            "prompt":    prompt,
+			"prompt":      prompt,
-            "maxTokens": a.maxTokens,
+			"maxTokens":   a.maxTokens,
-            "temperature": a.temperature,
+			"temperature": a.temperature,
-            "topP":       a.topP,
+			"topP":        a.topP,
-        }
+		}
 	case ModelAmazonTitanExpressV1:
-        request = map[string]interface{}{
+		request = map[string]interface{}{
-            "inputText": fmt.Sprintf("\n\nUser: %s", prompt),
+			"inputText": fmt.Sprintf("\n\nUser: %s", prompt),
-            "textGenerationConfig": map[string]interface{}{
+			"textGenerationConfig": map[string]interface{}{
-                "maxTokenCount": a.maxTokens,
+				"maxTokenCount": a.maxTokens,
-                "temperature":   a.temperature,
+				"temperature":   a.temperature,
-                "topP":          a.topP,
+				"topP":          a.topP,
-            },
+			},
 		}
 	default:
-        return "", fmt.Errorf("model %s not supported", a.model)
+		return "", fmt.Errorf("model %s not supported", a.model)
 	}
 
-
 	body, err := json.Marshal(request)
 	if err != nil {
 		return "", err
@@ -171,8 +170,8 @@ func (a *AmazonBedRockClient) GetCompletion(ctx context.Context, prompt string)
 	if err != nil {
 		return "", err
 	}
-	
+
-	// Response type changes as per model 
+	// Response type changes as per model
 	switch a.model {
 	case ModelAnthropicClaudeV2, ModelAnthropicClaudeV1, ModelAnthropicClaudeInstantV1:
 		type InvokeModelResponseBody struct {
@@ -184,8 +183,8 @@ func (a *AmazonBedRockClient) GetCompletion(ctx context.Context, prompt string)
 		if err != nil {
 			return "", err
 		}
-        return output.Completion, nil
+		return output.Completion, nil
-    case ModelA21J2UltraV1, ModelA21J2JumboInstruct:
+	case ModelA21J2UltraV1, ModelA21J2JumboInstruct:
 		type Data struct {
 			Text string `json:"text"`
 		}
@@ -194,33 +193,34 @@ func (a *AmazonBedRockClient) GetCompletion(ctx context.Context, prompt string)
 		}
 		type InvokeModelResponseBody struct {
 			Completions []Completion `json:"completions"`
-			}
+		}
 		output := &InvokeModelResponseBody{}
 		err = json.Unmarshal(resp.Body, output)
 		if err != nil {
 			return "", err
 		}
-        return output.Completions[0].Data.Text, nil
+		return output.Completions[0].Data.Text, nil
-    case ModelAmazonTitanExpressV1:
+	case ModelAmazonTitanExpressV1:
 		type Result struct {
 			TokenCount       int    `json:"tokenCount"`
 			OutputText       string `json:"outputText"`
 			CompletionReason string `json:"completionReason"`
 		}
-		type InvokeModelResponseBody struct {	
+		type InvokeModelResponseBody struct {
 			InputTextTokenCount int      `json:"inputTextTokenCount"`
 			Results             []Result `json:"results"`
-			}
+		}
 		output := &InvokeModelResponseBody{}
 		err = json.Unmarshal(resp.Body, output)
 		if err != nil {
 			return "", err
 		}
-        return output.Results[0].OutputText, nil
+		return output.Results[0].OutputText, nil
 	default:
-        return "", fmt.Errorf("model %s not supported", a.model)
+		return "", fmt.Errorf("model %s not supported", a.model)
-    }
+	}
 }
+
 // GetName returns the name of the AmazonBedRockClient.
 func (a *AmazonBedRockClient) GetName() string {
 	return amazonbedrockAIClientName

pkg/ai/azureopenai.go

@@ -14,9 +14,9 @@ const azureAIClientName = "azureopenai"
 type AzureAIClient struct {
 	nopCloser
 
-	client         *openai.Client
+	client      *openai.Client
-	model          string
+	model       string
-	temperature    float32
+	temperature float32
 	// organizationId string
 }
 

pkg/ai/openai.go

@@ -27,10 +27,10 @@ const openAIClientName = "openai"
 type OpenAIClient struct {
 	nopCloser
 
-	client         *openai.Client
+	client      *openai.Client
-	model          string
+	model       string
-	temperature    float32
+	temperature float32
-	topP           float32
+	topP        float32
 	// organizationId string
 }
 

pkg/analyzer/hpa.go

@@ -53,7 +53,6 @@ func (HpaAnalyzer) Analyze(a common.Analyzer) ([]common.Result, error) {
 	for _, hpa := range list.Items {
 		var failures []common.Failure
 
-	
 		//check the error from status field
 		conditions := hpa.Status.Conditions
 		for _, condition := range conditions {

pkg/analyzer/hpaAnalyzer_test.go

@@ -566,7 +566,6 @@ func TestHPAAnalyzerLabelSelectorFiltering(t *testing.T) {
 	assert.Equal(t, len(analysisResults), 1)
 }
 
-
 func TestHPAAnalyzerStatusFieldAbleToScale(t *testing.T) {
 	clientset := fake.NewSimpleClientset(
 		&autoscalingv2.HorizontalPodAutoscaler{
@@ -584,8 +583,8 @@ func TestHPAAnalyzerStatusFieldAbleToScale(t *testing.T) {
 			Status: autoscalingv2.HorizontalPodAutoscalerStatus{
 				Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
 					{
-						Type:   "AbleToScale",
+						Type:    "AbleToScale",
-						Status: "False",
+						Status:  "False",
 						Message: "test reason",
 					},
 				},
@@ -607,7 +606,6 @@ func TestHPAAnalyzerStatusFieldAbleToScale(t *testing.T) {
 
 }
 
-
 func TestHPAAnalyzerStatusFieldScalingActive(t *testing.T) {
 	clientset := fake.NewSimpleClientset(
 		&autoscalingv2.HorizontalPodAutoscaler{
@@ -625,8 +623,8 @@ func TestHPAAnalyzerStatusFieldScalingActive(t *testing.T) {
 			Status: autoscalingv2.HorizontalPodAutoscalerStatus{
 				Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
 					{
-						Type:   autoscalingv2.ScalingActive,
+						Type:    autoscalingv2.ScalingActive,
-						Status: "False",
+						Status:  "False",
 						Message: "test reason",
 					},
 				},
@@ -648,8 +646,6 @@ func TestHPAAnalyzerStatusFieldScalingActive(t *testing.T) {
 
 }
 
-
-
 func TestHPAAnalyzerStatusFieldScalingLimited(t *testing.T) {
 	clientset := fake.NewSimpleClientset(
 		&autoscalingv2.HorizontalPodAutoscaler{
@@ -667,8 +663,8 @@ func TestHPAAnalyzerStatusFieldScalingLimited(t *testing.T) {
 			Status: autoscalingv2.HorizontalPodAutoscalerStatus{
 				Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
 					{
-						Type:   autoscalingv2.ScalingLimited,
+						Type:    autoscalingv2.ScalingLimited,
-						Status: "False",
+						Status:  "False",
 						Message: "test reason",
 					},
 				},
@@ -690,7 +686,6 @@ func TestHPAAnalyzerStatusFieldScalingLimited(t *testing.T) {
 
 }
 
-
 func TestHPAAnalyzerStatusField(t *testing.T) {
 	clientset := fake.NewSimpleClientset(
 		&autoscalingv2.HorizontalPodAutoscaler{
@@ -708,18 +703,18 @@ func TestHPAAnalyzerStatusField(t *testing.T) {
 			Status: autoscalingv2.HorizontalPodAutoscalerStatus{
 				Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
 					{
-						Type:   autoscalingv2.AbleToScale,
+						Type:    autoscalingv2.AbleToScale,
-						Status: "True",
+						Status:  "True",
 						Message: "recommended size matches current size",
 					},
 					{
-						Type:   autoscalingv2.ScalingActive,
+						Type:    autoscalingv2.ScalingActive,
-						Status: "True",
+						Status:  "True",
 						Message: "the HPA was able to successfully calculate a replica count",
 					},
 					{
-						Type:   autoscalingv2.ScalingLimited,
+						Type:    autoscalingv2.ScalingLimited,
-						Status: "True",
+						Status:  "True",
 						Message: "the desired replica count is less than the minimum replica count",
 					},
 				},
@@ -739,4 +734,4 @@ func TestHPAAnalyzerStatusField(t *testing.T) {
 	}
 	assert.Equal(t, len(analysisResults), 1)
 
-}
+}

pkg/analyzer/statefulset_test.go

@@ -384,7 +384,7 @@ func TestStatefulSetAnalyzerUnavailableReplicaWithPodInitialized(t *testing.T) {
 	if err != nil {
 		t.Error(err)
 	}
-	
+
 	var errorFound bool
 	want := "Statefulset pod example-1 in the namespace default is not in running state."