usage: dependency_graph.py [-h] [-f {bmp,gif,jpg,png,pdf,svg}] [-v] [-c]
folder output
positional arguments:
folder Path to the folder to scan
output Path of the output file without the extension
optional arguments:
-h, --help show this help message and exit
-f {bmp,gif,jpg,png,pdf,svg}, --format {bmp,gif,jpg,png,pdf,svg}
Format of the output
-v, --view View the graph
-c, --cluster Create a cluster for each subfolder
แต่ถ้ารันแล้วได้ error
'dot' is not recognized as an internal or external command
Kubernetes control plane is running at https://127.0.0.1:62648
CoreDNS is running at https://127.0.0.1:62648/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
Unable to connect to the server: dial tcp [::1]:8080: connectex: No connection could be made because the target machine actively refused it.
# This file can update the JupyterHub Helm chart's default configuration values.
#
# For reference see the configuration reference and default values, but make
# sure to refer to the Helm chart version of interest to you!
#
# Introduction to YAML: https://www.youtube.com/watch?v=cdLNKUoMc6c
# Chart config reference: https://zero-to-jupyterhub.readthedocs.io/en/stable/resources/reference.html
# Chart default values: https://github.com/jupyterhub/zero-to-jupyterhub-k8s/blob/HEAD/jupyterhub/values.yaml
# Available chart versions: https://jupyterhub.github.io/helm-chart/
#
Hang tight while we grab the latest from your chart repositories...
...Skip local chart repository
...Successfully got an update from the "stable" chart repository
...Successfully got an update from the "jupyterhub" chart repository
Update Complete. ⎈ Happy Helming!⎈
Now install the chart configured by your config.yaml by running this command from the directory that contains your config.yaml:
While Step 2 is running, you can see the pods being created by entering in a different terminal:
kubectl get pod --namespace jhub
Wait for the hub and proxy pod to enter the Running state.
NAME READY STATUS RESTARTS AGE
hub-5d4ffd57cf-k68z8 1/1 Running 0 37s
proxy-7cb9bc4cc-9bdlp 1/1 Running 0 37s
Find the IP we can use to access the JupyterHub. Run the following command until the EXTERNAL-IP of the proxy-publicservice is available like in the example output.
kubectl get service --namespace <k8s-namespace>
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
hub ClusterIP 10.51.243.14 <none> 8081/TCP 1m
proxy-api ClusterIP 10.51.247.198 <none> 8001/TCP 1m
proxy-public LoadBalancer 10.51.248.230 104.196.41.97 80:31916/TCP 1m
เช่น
kubectl get service --namespace jhub
ถ้าไม่เห็น EXTERNAL-IP เปิดอีก cmd แล้วรัน
minikube tunnel
ถ้าอยากดูรายละเอียด
>kubectl describe service proxy-public --namespace jhub
