fixing spelling on path

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

.github/ISSUE_TEMPLATE/feature_request.md

@@ -1,35 +0,0 @@
----
-name: Feature Request
-about: Suggest an idea for this project
-title: 'feature: '
-labels: 'type:question'
-assignees: '@k8sgpt-ai/maintainers'
----
-
-<!-- 
-Thank you for initiating this feature request 🤗
-
-To ensure conciseness, kindly try to adhere to the following format.
--->
-
-Checklist:
-* [ ] I've searched for similar issues and couldn't find anything matching
-* [ ] I've discussed this feature in the #k8sgpt slack channel
-
-## Is this feature request related to a problem?
-* [ ] Yes
-* [ ] No
-
-<!-- If yes, please provide a clear and concise description of what the problem is. Ex. I'm always frustrated when [...] -->
-
-## Describe the solution you'd like
-<!-- A clear and concise description of what you want to happen. -->
-
-## Benefits for the project and its users
-<!-- Describe the benefits this feature will bring to the project and its users. -->
-
-## Potential drawbacks
-<!-- Describe any potential drawbacks this feature might bring to the project and its users. -->
-
-## Additional context
-<!-- Add any other context about your feature request here. If applicable, add drawings to help explain. -->

.github/ISSUE_TEMPLATE/question.md

@@ -1,50 +0,0 @@
----
-name: Question / Bug Report
-about: Create a report to help us improve
-title: 'question: '
-labels: 'type:question'
-assignees: ''
----
-
-<!-- 
-Thank you for initiating this issue request 🤗
-
-To ensure conciseness, kindly try to adhere to the following format.
--->
-
-Checklist:
-
-* [ ] I've searched for similar issues and couldn't find anything matching
-* [ ] I've included steps to reproduce the bug.
-* [ ] I've included the version of Kubernetes and k8sgpt.
-
-### Subject of the issue
-
-<!-- Describe your issue here. -->
-
-### Your environment
-
-<!-- Describe your environment here. -->
-
-* Version of Kubernetes
-  <!-- kubectl version -->
-* Host OS and its version / If windows, is it WSL?
-* Version of k8sgpt
-  <!-- k8sgpt version -->
-
-### Steps to reproduce
-
-<!-- Tell us how to reproduce this issue. -->
-
-* Step 1
-* Step 2
-
-### Expected behaviour
-<!-- Tell us what should happen -->
-
-### Actual behaviour
-
-<!-- Tell us what happens instead -->
-
-### Additional context / screenshots
-<!-- Add any other context about the problem here. If applicable, add screenshots to help explain. -->

.release-please-manifest.json

@@ -1 +1 @@
-{".":"0.1.2"}
+{".":"0.1.0"}

CHANGELOG.md

@@ -1,52 +1,5 @@
 # Changelog
 
-## [0.1.2](https://github.com/k8sgpt-ai/k8sgpt/compare/v0.1.1...v0.1.2) (2023-03-28)
-
-
-### Features
-
-* added namespace filter ([#127](https://github.com/k8sgpt-ai/k8sgpt/issues/127)) ([b78ab3d](https://github.com/k8sgpt-ai/k8sgpt/commit/b78ab3d9b503a256bf6ccf18276e20140ae17d1c))
-* prefix templates ([#125](https://github.com/k8sgpt-ai/k8sgpt/issues/125)) ([65a568e](https://github.com/k8sgpt-ai/k8sgpt/commit/65a568e937a8fdacc179f5e8b1a021a0178c04f0))
-
-
-### Bug Fixes
-
-* readme code blocks ([#126](https://github.com/k8sgpt-ai/k8sgpt/issues/126)) ([c8b92aa](https://github.com/k8sgpt-ai/k8sgpt/commit/c8b92aaa0e2795aa8d65f84277c8adfe0f1d14e3))
-* update README.md ([#119](https://github.com/k8sgpt-ai/k8sgpt/issues/119)) ([05abe97](https://github.com/k8sgpt-ai/k8sgpt/commit/05abe975dd859cd85096a1a7182f17b0437ad20f))
-
-
-### Other
-
-* added default issue template ([#96](https://github.com/k8sgpt-ai/k8sgpt/issues/96)) ([#121](https://github.com/k8sgpt-ai/k8sgpt/issues/121)) ([11c227b](https://github.com/k8sgpt-ai/k8sgpt/commit/11c227b82e16dac8b46cbd03bb04d9cc1c2b5ac3))
-
-
-### Docs
-
-* add new issue templates ([dbd305f](https://github.com/k8sgpt-ai/k8sgpt/commit/dbd305f901cca09b7148254c3aa7a7435504d6cc))
-* add WSL gcc instructions ([4d5566b](https://github.com/k8sgpt-ai/k8sgpt/commit/4d5566b4df7aedf43edbeeb03130f0ba77dbed1a))
-* added Windows and Linux instalation steps in README ([#116](https://github.com/k8sgpt-ai/k8sgpt/issues/116)) ([3bfb278](https://github.com/k8sgpt-ai/k8sgpt/commit/3bfb278f81a9c550ee37a88c0cb0377331802542))
-* fix indentations ([a46416d](https://github.com/k8sgpt-ai/k8sgpt/commit/a46416dce0f5cee2d42b27525023b04af1a8e3c0))
-* rename ISSUE_TEMPLATE ([#124](https://github.com/k8sgpt-ai/k8sgpt/issues/124)) ([cb4932c](https://github.com/k8sgpt-ai/k8sgpt/commit/cb4932c39df4903a4b48ae5f0428860027f76fd2))
-
-## [0.1.1](https://github.com/k8sgpt-ai/k8sgpt/compare/v0.1.0...v0.1.1) (2023-03-28)
-
-
-### Features
-
-* this stops service exiting the program ([6f90386](https://github.com/k8sgpt-ai/k8sgpt/commit/6f90386fc93b2e39e59832468922e8ba7210b8e5))
-* updated readme ([e0141d1](https://github.com/k8sgpt-ai/k8sgpt/commit/e0141d1cf54b5b37b25a5caeb9d5c940b9410ea7))
-
-
-### Bug Fixes
-
-* short term solution for exhaustion ([5890e3a](https://github.com/k8sgpt-ai/k8sgpt/commit/5890e3a79c80a2973af2feb7d50e7f9c57c563c2))
-
-
-### Other
-
-* update README.md ([93b947f](https://github.com/k8sgpt-ai/k8sgpt/commit/93b947f261e401c10dde6dc1854e6e22187437d6))
-* update root.go path ([2cb1c9c](https://github.com/k8sgpt-ai/k8sgpt/commit/2cb1c9c150d052bb3942d9f62ded9d54b0e1873e))
-
 ## [0.1.0](https://github.com/k8sgpt-ai/k8sgpt/compare/v0.0.9...v0.1.0) (2023-03-28)
 
 

README.md

@@ -7,45 +7,18 @@
 
 It has SRE experience codified into it's analyzers and helps to pull out the most relevent information to enrich it with AI.
 
-## Installation
-
-### Linux/Mac via brew
+## Quick Start
 
 ```
 brew tap k8sgpt-ai/k8sgpt
 brew install k8sgpt
 ```
 
-<details>
-  <summary>Failing Installation on WSL (missing gcc)</summary>
-  When installing Homebrew on WSL, you may encounter the following error:
+_brew also enables upgrades with `brew upgrade k8sgpt`_
 
-  ```
-  ==> Installing k8sgpt from k8sgpt-ai/k8sgpt Error: The following formula cannot be installed from bottle and must be 
-  built from source. k8sgpt Install Clang or run brew install gcc.
-  ```
-
-If you install gcc as suggested, the problem will persist. Therefore, you need to install the build-essential package.
-  ```
-     sudo apt-get update
-     sudo apt-get install build-essential
-  ```
-</details>
-
-### Windows
-
-* Download the latest Windows binaries of **k8sgpt** from the [Release](https://github.com/k8sgpt-ai/k8sgpt/releases) 
-  tab based on your system architecture.
-* Extract the downloaded package to your desired location. Configure the system *path* variable with the binary location
-
-### Verify installation
-
-* Run `k8sgpt version`
-
-## Quick Start
 
 * Currently the default AI provider is OpenAI, you will need to generate an API key from [OpenAI](https://openai.com)
-  * You can do this by running `k8sgpt generate` to open a browser link to generate it
+  * You can do this by running `k8sgpt generate` to open a browser link to generate it 
 * Run `k8sgpt auth` to set it in k8sgpt.
 * Run `k8sgpt analyze` to run a scan.
 * And use `k8sgpt analyze --explain` to get a more detailed explanation of the issues.
@@ -54,8 +27,7 @@ If you install gcc as suggested, the problem will persist. Therefore, you need t
 
 ## Analyzers
 
-K8sGPT uses analyzers to triage and diagnose issues in your cluster. It has a set of analyzers that are built in, but 
-you will be able to write your own analyzers.
+K8sGPT uses analyzers to triage and diagnose issues in your cluster. It has a set of analyzers that are built in, but you will be able to write your own analyzers.
 
 ### Built in analyzers
 
@@ -100,18 +72,13 @@ k8sgpt analyze --explain
 _Filter on resource_
 
 ```
-k8sgpt analyze --explain --filter=Service
-```
-
-_Filter by namespace_
-```
-k8sgpt analyze --explain --filter=Pod --namespace=default
+k8sgpt analyze --explain --resource=Service
 ```
 
 _Output to JSON_
 
 ```
-k8sgpt analyze --explain --filter=Service --output=json
+k8sgpt analyze --explain --resource=Service --output=json
 ```
 
 ## Upcoming major milestones
@@ -120,22 +87,19 @@ k8sgpt analyze --explain --filter=Service --output=json
 - [ ] Custom AI/ML model backend support
 - [ ] Custom analyzers
 
-## What about kubectl-ai?
+### What about kubectl-ai?
 
-The kubectl-ai [project](https://github.com/sozercan/kubectl-ai) uses AI to create manifests and apply them to the 
-cluster. It is not what we are trying to do here, it is focusing on writing YAML manifests.
+The the kubectl-ai [project](https://github.com/sozercan/kubectl-ai) uses AI to create manifests and apply them to the cluster. It is not what we are trying to do here, it is focusing on writing YAML manifests.
 
-K8sgpt is focused on triaging and diagnosing issues in your cluster. It is a tool for SRE, Platform & DevOps engineers 
-to help them understand what is going on in their cluster. Cutting through the noise of logs and multiple tools to find 
-the root cause of an issue.
+K8sgpt is focused on triaging and diagnosing issues in your cluster. It is a tool for SRE, Platform & DevOps engineers to help them understand what is going on in their cluster. Cutting through the noise of logs and multiple tools to find the root cause of an issue.
 
 
-## Configuration
+### Configuration 
 
 `k8sgpt` stores config data in `~/.k8sgpt.yaml` the data is stored in plain text, including your OpenAI key.
 
-## Contributing
+### Contributing
 
 Please read our [contributing guide](./CONTRIBUTING.md).
-## Community
+### Community
 * Find us on [Slack](https://cloud-native.slack.com/channels/k8sgpt-ai)

cmd/analyze/analyze.go

@@ -17,13 +17,12 @@ import (
 )
 
 var (
-	explain   bool
-	backend   string
-	output    string
-	filters   []string
-	language  string
-	nocache   bool
-	namespace string
+	explain  bool
+	backend  string
+	output   string
+	filters  []string
+	language string
+	nocache  bool
 )
 
 // AnalyzeCmd represents the problems command
@@ -69,16 +68,9 @@ var AnalyzeCmd = &cobra.Command{
 		ctx := context.Background()
 		// Get kubernetes client from viper
 		client := viper.Get("kubernetesClient").(*kubernetes.Client)
-		// Analysis configuration
-		config := &analyzer.AnalysisConfiguration{
-			Namespace: namespace,
-			NoCache:   nocache,
-			Explain:   explain,
-		}
 
 		var analysisResults *[]analyzer.Analysis = &[]analyzer.Analysis{}
-		if err := analyzer.RunAnalysis(ctx, config, client,
-			aiClient, analysisResults); err != nil {
+		if err := analyzer.RunAnalysis(ctx, client, aiClient, explain, analysisResults); err != nil {
 			color.Red("Error: %v", err)
 			os.Exit(1)
 		}
@@ -110,13 +102,8 @@ var AnalyzeCmd = &cobra.Command{
 		for _, analysis := range *analysisResults {
 
 			if explain {
-				parsedText, err := analyzer.ParseViaAI(ctx, config, aiClient, analysis.Error)
+				parsedText, err := analyzer.ParseViaAI(ctx, aiClient, analysis.Error, nocache)
 				if err != nil {
-					// Check for exhaustion
-					if strings.Contains(err.Error(), "status code: 429") {
-						color.Red("Exhausted API quota. Please try again later")
-						os.Exit(1)
-					}
 					color.Red("Error: %v", err)
 					continue
 				}
@@ -149,13 +136,10 @@ var AnalyzeCmd = &cobra.Command{
 
 func init() {
 
-	// namespace flag
-	AnalyzeCmd.Flags().StringVarP(&namespace, "namespace", "n", "", "Namespace to analyze")
-	// no cache flag
-	AnalyzeCmd.Flags().BoolVarP(&nocache, "no-cache", "c", false, "Do not use cached data")
+	AnalyzeCmd.Flags().BoolVarP(&nocache, "no-cache", "n", false, "Do not use cached data")
 	// array of strings flag
 	AnalyzeCmd.Flags().StringSliceVarP(&filters, "filter", "f", []string{}, "Filter for these analzyers (e.g. Pod,PersistentVolumeClaim,Service,ReplicaSet)")
-	// explain flag
+
 	AnalyzeCmd.Flags().BoolVarP(&explain, "explain", "e", false, "Explain the problem to me")
 	// add flag for backend
 	AnalyzeCmd.Flags().StringVarP(&backend, "backend", "b", "openai", "Backend AI provider")

pkg/analyzer/analysis.go

@@ -5,12 +5,6 @@ import (
 	v1 "k8s.io/api/core/v1"
 )
 
-type AnalysisConfiguration struct {
-	Namespace string
-	NoCache   bool
-	Explain   bool
-}
-
 type PreAnalysis struct {
 	Pod                   v1.Pod
 	FailureDetails        []string

pkg/analyzer/analyzer.go

@@ -11,40 +11,39 @@ import (
 	"github.com/spf13/viper"
 )
 
-func RunAnalysis(ctx context.Context, config *AnalysisConfiguration,
-	client *kubernetes.Client,
-	aiClient ai.IAI, analysisResults *[]Analysis) error {
+func RunAnalysis(ctx context.Context, client *kubernetes.Client,
+	aiClient ai.IAI, explain bool, analysisResults *[]Analysis) error {
 
-	err := AnalyzePod(ctx, config, client, aiClient, analysisResults)
+	err := AnalyzePod(ctx, client, aiClient, explain, analysisResults)
 	if err != nil {
 		return err
 	}
 
-	err = AnalyzeReplicaSet(ctx, config, client, aiClient, analysisResults)
+	err = AnalyzeReplicaSet(ctx, client, aiClient, explain, analysisResults)
 	if err != nil {
 		return err
 	}
 
-	err = AnalyzePersistentVolumeClaim(ctx, config, client, aiClient, analysisResults)
+	err = AnalyzePersistentVolumeClaim(ctx, client, aiClient, explain, analysisResults)
 	if err != nil {
 		return err
 	}
 
-	err = AnalyzeEndpoints(ctx, config, client, aiClient, analysisResults)
+	err = AnalyzeEndpoints(ctx, client, aiClient, explain, analysisResults)
 	if err != nil {
 		return err
 	}
 	return nil
 }
 
-func ParseViaAI(ctx context.Context, config *AnalysisConfiguration,
-	aiClient ai.IAI, prompt []string) (string, error) {
+func ParseViaAI(ctx context.Context, aiClient ai.IAI, prompt []string,
+	nocache bool) (string, error) {
 	// parse the text with the AI backend
 	inputKey := strings.Join(prompt, " ")
 	// Check for cached data
 	sEnc := base64.StdEncoding.EncodeToString([]byte(inputKey))
 	// find in viper cache
-	if viper.IsSet(sEnc) && !config.NoCache {
+	if viper.IsSet(sEnc) && !nocache {
 		// retrieve data from cache
 		response := viper.GetString(sEnc)
 		if response == "" {
@@ -62,7 +61,7 @@ func ParseViaAI(ctx context.Context, config *AnalysisConfiguration,
 	response, err := aiClient.GetCompletion(ctx, inputKey)
 	if err != nil {
 		color.Red("error getting completion: %v", err)
-		return "", err
+		return "", nil
 	}
 
 	if !viper.IsSet(sEnc) {

pkg/analyzer/podAnalyzer.go

@@ -10,11 +10,10 @@ import (
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 )
 
-func AnalyzePod(ctx context.Context, config *AnalysisConfiguration,
-	client *kubernetes.Client, aiClient ai.IAI, analysisResults *[]Analysis) error {
+func AnalyzePod(ctx context.Context, client *kubernetes.Client, aiClient ai.IAI, explain bool, analysisResults *[]Analysis) error {
 
 	// search all namespaces for pods that are not running
-	list, err := client.GetClient().CoreV1().Pods(config.Namespace).List(ctx, metav1.ListOptions{})
+	list, err := client.GetClient().CoreV1().Pods("").List(ctx, metav1.ListOptions{})
 	if err != nil {
 		return err
 	}

pkg/analyzer/pvcAnalyzer.go

@@ -10,10 +10,10 @@ import (
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 )
 
-func AnalyzePersistentVolumeClaim(ctx context.Context, config *AnalysisConfiguration, client *kubernetes.Client, aiClient ai.IAI, analysisResults *[]Analysis) error {
+func AnalyzePersistentVolumeClaim(ctx context.Context, client *kubernetes.Client, aiClient ai.IAI, explain bool, analysisResults *[]Analysis) error {
 
 	// search all namespaces for pods that are not running
-	list, err := client.GetClient().CoreV1().PersistentVolumeClaims(config.Namespace).List(ctx, metav1.ListOptions{})
+	list, err := client.GetClient().CoreV1().PersistentVolumeClaims("").List(ctx, metav1.ListOptions{})
 	if err != nil {
 		return err
 	}

pkg/analyzer/rsAnalyzer.go

@@ -10,11 +10,10 @@ import (
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 )
 
-func AnalyzeReplicaSet(ctx context.Context, config *AnalysisConfiguration,
-	client *kubernetes.Client, aiClient ai.IAI, analysisResults *[]Analysis) error {
+func AnalyzeReplicaSet(ctx context.Context, client *kubernetes.Client, aiClient ai.IAI, explain bool, analysisResults *[]Analysis) error {
 
 	// search all namespaces for pods that are not running
-	list, err := client.GetClient().AppsV1().ReplicaSets(config.Namespace).List(ctx, metav1.ListOptions{})
+	list, err := client.GetClient().AppsV1().ReplicaSets("").List(ctx, metav1.ListOptions{})
 	if err != nil {
 		return err
 	}

pkg/analyzer/serviceAnalyzer.go

@@ -4,18 +4,16 @@ import (
 	"context"
 	"fmt"
 
-	"github.com/fatih/color"
 	"github.com/k8sgpt-ai/k8sgpt/pkg/ai"
 	"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
 	"github.com/k8sgpt-ai/k8sgpt/pkg/util"
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 )
 
-func AnalyzeEndpoints(ctx context.Context, config *AnalysisConfiguration, client *kubernetes.Client, aiClient ai.IAI,
-	analysisResults *[]Analysis) error {
+func AnalyzeEndpoints(ctx context.Context, client *kubernetes.Client, aiClient ai.IAI, explain bool, analysisResults *[]Analysis) error {
 
 	// search all namespaces for pods that are not running
-	list, err := client.GetClient().CoreV1().Endpoints(config.Namespace).List(ctx, metav1.ListOptions{})
+	list, err := client.GetClient().CoreV1().Endpoints("").List(ctx, metav1.ListOptions{})
 	if err != nil {
 		return err
 	}
@@ -29,8 +27,7 @@ func AnalyzeEndpoints(ctx context.Context, config *AnalysisConfiguration, client
 		if len(ep.Subsets) == 0 {
 			svc, err := client.GetClient().CoreV1().Services(ep.Namespace).Get(ctx, ep.Name, metav1.GetOptions{})
 			if err != nil {
-				color.Yellow("Service %s/%s does not exist", ep.Namespace, ep.Name)
-				continue
+				return err
 			}
 
 			for k, v := range svc.Spec.Selector {