Update gopaddle/gopaddle version in place (#1023)

charts/gopaddle/gopaddle/README.md

@@ -0,0 +1,59 @@
+<img alt="gopaddle" src="https://gopaddle-marketing.s3.ap-southeast-2.amazonaws.com/gopaddle.png?s=200&v=4" width="200" align="left">
+
+# [gopaddle](https://gopaddle.io/)
+[![Slack Channel](https://img.shields.io/badge/Slack-Join-purple)](https://gopaddleio.slack.com/join/shared_invite/zt-1l73p8wfo-vYk1XcbLAZMo9wcV_AChvg#/shared-invite/email/expanded-email-form)
+
+## Kubernetes IDE with AI Co-pilot
+
+gopaddle is a low-code Kubernetes IDE with AI Co-pilot. The low-code IDE has advanced resource filtering, a YAML free form editor, and developer tools like a container terminal and logs. The AI Co-pilot provides interactive troubleshooting.
+
+## Supported AI Models
+
+ChatGPT models gpt-4o and gpt-4-turbo.
+
+## Installation 
+
+### Minimum System Requirements
+
+gopaddle installation requires a minimum of `4GB RAM` and `2 vCPUs`
+
+### Firewall Ports
+
+The following incoming firewall ports need to be opened - `30003`.
+
+### Step to install using Helm Charts
+
+Add the helm repo
+
+```sh
+helm repo add gopaddle https://gopaddle-io.github.io/gopaddle-lite/
+helm repo update
+```
+Install the chart
+
+```sh
+helm install gp-lite gopaddle/gopaddle --namespace gopaddle --create-namespace
+```
+
+### Validating the installation
+gopaddle installation can be validated by waiting for the gopaddle services to move to `ready` state.
+
+```sh
+kubectl wait --for=condition=ready pod -l released-by=gopaddle -n gopaddle
+```
+
+One the installation is complete, gopaddle dashboard can be accessed at http://[NodeIP]:30003/
+
+NodeIP can be obtained by executing the command below:
+
+```sh
+kubectl get nodes -o wide
+```
+
+## Usage
+
+Open the `Ask AI` option, select the LLM Type as `OpenAI`, select a model, and provide the API Key.  
+
+To get the OpenAI API Key, check here: [OpenAI API Key](https://platform.openai.com/api-keys). 
+
+

charts/gopaddle/gopaddle/app-readme.md

@@ -1,52 +1,53 @@
-## gopaddle
-gopaddle is a low-code Internal Developer Plaform (IDP) for Kubernetes developers and operators. It provides a self-service portal through which developers can scaffold code to containers, auto-generate YAML files, build docker images, deploy applications on to Kubernetes and manage the application life cycle from a single dashboard.
+<img alt="gopaddle" src="https://gopaddle-marketing.s3.ap-southeast-2.amazonaws.com/gopaddle.png?s=200&v=4" width="200" align="left">
 
-### Version Number
+# [gopaddle](https://gopaddle.io/)
+[![Slack Channel](https://img.shields.io/badge/Slack-Join-purple)](https://gopaddleio.slack.com/join/shared_invite/zt-1l73p8wfo-vYk1XcbLAZMo9wcV_AChvg#/shared-invite/email/expanded-email-form)
 
-gopaddle Lite - v4.2.5
+## Kubernetes IDE with AI Co-pilot
+gopaddle is a low-code Kubernetes IDE with AI Co-pilot. The low-code IDE has advanced resource filtering, a YAML free form editor, and developer tools like a container terminal and logs. The AI Co-pilot provides interactive troubleshooting.
 
-### Pre-requisite
-a) Install the necessary CSI driver to provision Persistent Volumes.
+## Installation 
 
-For eg., If you are running Rancher RKE on AWS, install the AWS EBS CSI driver. 
+### Minimum System Requirements
+gopaddle installation requires a minimum of `8GB RAM` and `4 vCPUs`
 
-```
-kubectl create secret generic aws-secret --namespace kube-system --from-literal "key_id=<aws-access-key>" --from-literal "access_key=<aws-secret-key>"
-kubectl apply -k "github.com/kubernetes-sigs/aws-ebs-csi-driver/deploy/kubernetes/overlays/stable/?ref=release-1.13"
-```
+### Firewall Ports
+The following incoming firewall ports need to be opened - `30003`.
 
-You can find more information on AWS CSI Driver [here](https://github.com/kubernetes-sigs/aws-ebs-csi-driver#kubernetes-version-compatibility-matrix)
+### Step to install using Helm Charts
 
-In case of AWS CSI Driver, patch the first node in the cluster to add the labels `topology.kubernetes.io` & `topology.kubernetes.io/zone` to point to the node's region and zone. The below script patches the node labels to `us-east-1` region and `us-east-1a` zone.
+Add the helm repo
 
+```sh
+helm repo add gopaddle https://gopaddle-io.github.io/gopaddle-lite/
+helm repo update
 ```
-apt install jq -y
-node=$(kubectl get nodes -o json | jq -r '.items[0].metadata.annotations["rke2.io/hostname"]')
-kubectl patch node $node -p '{"metadata": {"labels":{"topology.kubernetes.io/region": "us-east-1"}}}'
-kubectl patch node $node -p '{"metadata": {"labels":{"topology.kubernetes.io/zone":"us-east-1a"}}}'
+Install the chart
+
+```sh
+helm install gp-lite gopaddle/gopaddle --namespace gopaddle --create-namespace
 ```
 
-b) Create default storageClass.
-Create a storageClass named `standard` from the Rancher Dashboard https://rancher-endpoint/dashboard/c/local/explorer/storage.k8s.io.storageclass.
+### Validating the installation
+gopaddle installation can be validated by waiting for the gopaddle services to move to `ready` state.
 
-In case of AWS, create an Amazon EBS Disk.
+```sh
+kubectl wait --for=condition=ready pod -l released-by=gopaddle -n gopaddle
+```
 
-<img src="https://user-images.githubusercontent.com/74309181/211659744-adde9594-5a33-4fea-8578-b9347142ba1c.png" width="80%">
+One the installation is complete, gopaddle dashboard can be accessed at http://[NodeIP]:30003/
 
-Patch the storageClass `standard` and add the `is-default-class` annotation to make it the default storageClass.
+NodeIP can be obtained by executing the command below:
 
-```
-kubectl patch storageclass standard -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'
+```sh
+kubectl get nodes -o wide
 ```
 
-c) Open INBOUND firewall ports 30003 and 30004. If RKE is installed on AWS, then open the ports 30003 and 30004 in the instance security group.
+## Usage
 
-Once the gopaddle chart is installed, the dashboard can be accessed at http://node_ip:30003
+Open the `Ask AI` option, select the LLM Type as `OpenAI`, select a model, and provide the API Key.  
 
-### Support URL
+To get the OpenAI API Key, check here: [OpenAI API Key](https://platform.openai.com/api-keys). 
 
-[![Slack Channel](https://img.shields.io/badge/Slack-Join-purple)](https://gopaddleio.slack.com/join/shared_invite/zt-1l73p8wfo-vYk1XcbLAZMo9wcV_AChvg#/shared-invite/email/expanded-email-form)
 
-### Documentation
 
-[Documentation](https://help.gopaddle.io)

charts/gopaddle/gopaddle/templates/NOTES.txt

@@ -0,0 +1,18 @@
+===================================
+
+Congratulations on installing gopaddle!
+
+You are now ready to access the Kubernetes IDE. Here’s how:
+
+Step 1: Wait for gopaddle pods to move to READY state: `kubectl wait --for=condition=ready pod -l released-by=gopaddle -n gopaddle`
+
+Step 2: Get the Cluster IP - Run the following command to find your cluster's IP address: `kubectl get nodes -o wide`
+
+Step 3: Access the gopaddle UI - Open your web browser and go to: `http://<cluster-node-ip>:30003`. Replace `<cluster-node-ip>` with the IP address you obtained in Step 2.
+
+For Docker Desktop Users: If you are using Docker Desktop Kubernetes Engine, you need to forward the port to access the gopaddle service. Run: `kubectl port-forward svc/gopaddle-service -n gopaddle 30003:65080`
+
+Then, open your web browser and go to: `http://localhost:30003`
+
+Enjoy using gopaddle!
+

charts/gopaddle/gopaddle/values.yaml

@@ -1,2 +1,2 @@
 CLUSTER_TYPE: "k8s" # CLUSTER_TYPE - docker or k8s
-imageTag: "multi-arch.1"
+imageTag: "5.0"

index.yaml

@@ -18530,11 +18530,11 @@ entries:
       catalog.cattle.io/release-name: gopaddle
     apiVersion: v2
     appVersion: "5"
-    created: "2024-06-05T00:55:25.01459904Z"
+    created: "2024-06-06T15:15:11.685530761-06:00"
     description: Kubernetes IDE with AI Co-pilot
-    digest: 4f56e39c70605bdeac453f012e472df3652b245a9d9073e4d902f31cd7bae8ff
+    digest: 9791c680e52099b267dfadb74275c7a5de0b866dbfdbadb656ac6c254acd8aae
     home: https://gopaddle.io
-    icon: file://assets/icons/gopaddle.png
+    icon: https://gopaddle-marketing.s3.ap-southeast-2.amazonaws.com/gopaddle.png
     keywords:
     - low-code
     - IDE