Upload 2 files

4.txt

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+Post Title : Kubernetes Cronjob Error not a native sidecar 
+URL: https://stackoverflow.com/questions/75918110/kubernetes-cronjob-error-not-a-native-sidecar
+
+QUESTION: I have a kubernetes v1.25 and i cant show the details of my cronjobs anymore on all of my namespace of my kubernetes dashboard.
+FYI, it works in command kubectl line i can list my cronjobs and access.
+Dashboard version used 2.7.0On my project i modified the api version to the one recommended :
+apiVersion: 'batch/v1'
+kind: 'CronJob'When i check the logs of my kubernetes dashboard pod, i can see that every time i try to check the details of my cronjob on a namespace through graphical dashboard, an error log pop "There was an error during transformation to sidecar selector: Resource "cronjob" is not a native sidecar resource type or is not supported".Do you have any idea ?
+Thank you
+
+Answer(1): There is a bug where kubernetes dashboard is using API version batchV1beta1 for cronjobs which has been removed in kuberentes version 1.25.I've created a fixed version based on kuberentes dashboard version v2.7.0. I've published it on docker hub:beffe/kubernetes-dashboard:v2.7.0-fix-cj-2You can find the code changes here:https://github.com/kubernetes/dashboard/compare/master...beffe123:kubernetes-dashboard:v2.7.0-fixes 
+
+Answer(2): There might be two reasons for this issue to occur.Likeglvsaid the primary reason will be version mismatch and the bug
+related to that particular dashboard version. Upgrade your dashboard to
+the latest supported version or follow the steps provided byglv, these
+will help you in resolving the issue.The second issue is related to the permissions. Check whether you have
+provided necessary permissions to the kubernetes dashboard service
+account or RBAC role, assign the necessary permissions if not available
+it will help you in resolving these issues.Go through the logs related to kube-dashboard pods which will provide further details that will help you in diagnosing the issue more clearly. Hope this will help you 
+

download_dataset.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "############ YAAHOO QUESTION ANSWER  #################\n",
+    "\n",
+    "df = pd.read_json(\"hf://datasets/baohuynhbk14/yahoo-question-answers-question-answers/yahoo_answers_title_answer.jsonl\", lines=True)\n",
+    "\n",
+    "test = list( df.data )\n",
+    "\n",
+    "df =  pd.DataFrame( {\n",
+    "    \"Questions\" :   [ test[index][0] for index in range( len( test ) ) ] ,\n",
+    "    \"Answers\" : [ test[index][1] for index in range( len( test ) ) ]\n",
+    "})\n",
+    "df.to_csv(\"Question_Ans_Dataset.csv\" ,index = False )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "######## DATASET LINK : https://huggingface.co/datasets/junaid20/question_answer #############\n",
+    "\n",
+    "\n",
+    "df = pd.read_csv(\"hf://datasets/junaid20/question_answer/dataset.csv\")\n",
+    "df.drop( \"text\"  , axis = 1 , inplace = True )\n",
+    "df.to_csv(\"Question_Ans_Dataset_2.csv\" , index = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "########## DATASET LINK : https://huggingface.co/datasets/toughdata/quora-question-answer-dataset ###########################\n",
+    "df = pd.read_json(\"hf://datasets/toughdata/quora-question-answer-dataset/Quora-QuAD.jsonl\", lines=True)\n",
+    "df.to_csv(\"Question_Ans_Dataset_3.csv\" , index = False )\n",
+    "\n",
+    "\n",
+    "#### CANNOT DONWLOAD THIS DATASET BECAUSE THIS IS TOOO LARGE #########"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ########## DATASET LINK : https://huggingface.co/datasets/formido/outfit_recomendation ##########\n",
+    "\n",
+    "df = pd.read_csv(\"hf://datasets/formido/outfit_recomendation/new_data.csv\")\n",
+    "\n",
+    "df[\"instruction\"] = df.instruction + \" \" + df.input\n",
+    "\n",
+    "df.drop( \"input\"  , axis = 1 , inplace = True )\n",
+    "\n",
+    "df.to_csv(\"Recommendation_Data.csv\"  , index = False )"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "sunyenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}