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Prophecis is a one-stop cloud native machine learning platform.

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根据安装部署文档中的要求准备安装DSS/Linkis平台的Appconn插件部署包及初始化SQL发现存在异常。 release0.3.2未提供对应的插件包、并且0.3.2源码内appconn对应pom依赖为DSS1.0.1 Linkis1.0.3,尝试替换为7月DSS发布版本的DSS1.1.0 Linkis1.1.1进行编译发现代码存在报错: MLSSOpenRequestRef.java[XX,XX] error: camnot find symbol. 同时发现appconn初始化sql中需要操作的dss_appcation元数据表在DSS1.1.0 Linkis1.1.1的元数据表中已不存在 ![源码包编译版本依赖DSS1 0 1Linkis1 0 3替换DSS1 1 1LINKIS1 1 0编译报错](https://user-images.githubusercontent.com/31975427/183334896-1b6197c0-7563-44a3-9c67-12b1d9927485.jpg) ![mlss初始化sql中包含dss不存在的表dss_application](https://user-images.githubusercontent.com/31975427/183334952-2bc48c86-8d12-4c5d-baca-515cef536544.png) ![dss源数据库中不包含dss_application表](https://user-images.githubusercontent.com/31975427/183334963-7b7ba22c-d4d6-44af-8373-4f655bf5bb77.jpg)

![image](https://user-images.githubusercontent.com/34031240/182091153-22cfce1f-a78c-4976-ac3f-a1ef04d339b3.png) storage-deployment.yaml ``` kind: Deployment apiVersion: apps/v1 metadata: name: di-storage namespace: prophecis labels: app.kubernetes.io/managed-by: Helm environment: prophecis service: di-storage annotations: deployment.kubernetes.io/revision: '1' meta.helm.sh/release-name: prophecis meta.helm.sh/release-namespace: default spec: replicas: 1 selector:...

The missing images in Prophecis/install/value.yaml: wedatasphere/prophecis:mllabis-v0.3.2 --> wedatasphere/prophecis:mllabis-v0.3.0 wedatasphere/prophecis:metrics-v0.3.2 --> wedatasphere/prophecis:metrics-v0.3.0 wedatasphere/prophecis:mf-server-v0.3.2 --> wedatasphere/prophecis:mf-server-v0.3.0

di-storage-rpc is running, and DNS is: di-storage-rpc.prophecis, but the address in log is: di-storage-rpc..svc.cluster.local:80, it looks like "prophecis" is missing in DNS ![image](https://user-images.githubusercontent.com/34031240/182098964-51332fbe-b976-4612-85bd-b4a0e0ae269e.png) ![image](https://user-images.githubusercontent.com/34031240/182099380-9b7351b2-0f0d-416e-b7bf-a5f913600c17.png) ![image](https://user-images.githubusercontent.com/34031240/182100115-a1efd72e-3f80-482b-8192-44b03aa64873.png)

vim /etc/kubernetes/manifests/kube-apiserver.yaml #spec: # containers: # - command: # 中,增加如下配置项 - --service-node-port-range=30000-40000 - 你们配置的文件为41012 ,而又要求k8s部署为40000以内,岂不是冲突了

prophecis 页面可以打开,但是admin无法登录。 页面错误502. Oct 15 18:08:30 ai-master kubelet: W1015 18:08:30.651802 10459 kubelet_pods.go:863] Unable to retrieve pull secret prophecis/hubsecret for prophecis/ffdl-trainingdata-8946c74fd-5prbp due to secret "hubsecret" not found. The image pull may...

自己构建的镜像部署之后总是403forbidden,能不能分享一下ui image构建的dockerfile啊,谢谢

我将GitHub源码编译成的 mlss-controlcenter-go 替换 了 cc-apiserver-v0.3.0中的执行文件,但是线上运行时页面报如下两个错: path /cc/v1/groups/group/storage was not found Error when checking namespace from cc, {"code":404,"message":"path /cc/v1/groups/users/roles/1/namespaces was not found"} 线上cc-apiserver-v0.3.0中的mlss-controlcenter-go是否和GitHub上一源码致呢?

![7f94eb826613b230e4ceba4e51d50c5](https://user-images.githubusercontent.com/22410655/163970025-8db4f312-38e4-4e3e-9278-537a1e66b248.png)

可自身创建notebook运行镜像: 1.Dockerfile: # 其他的镜像类似 # docker pull jupyter/scipy-notebook:notebook-6.4.10 FROM jupyter/scipy-notebook:notebook-6.4.10 USER root RUN echo "Asia/shanghai" > /etc/timezone ENTRYPOINT ["sh","-c", "jupyter lab --notebook-dir=/home/jovyan --ip=0.0.0.0 --no-browser --allow-root --port=8888 --NotebookApp.token='' --NotebookApp.password='' --NotebookApp.allow_origin='*' --NotebookApp.base_url=${NB_PREFIX}"]...