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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4f77e0ee",
+   "metadata": {},
+   "source": [
+    "# Getting Started with PrimeHub Python SDK\n",
+    "PrimeHub Python SDK makes you automation with PrimeHub Platform.\n",
+    "\n",
+    "In order to make the SDK working, you have to\n",
+    "\n",
+    "- install the library with pip\n",
+    "- create a config file in the ~/.primehub/config.json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4604b5a2",
+   "metadata": {},
+   "source": [
+    "# Part 1: prerequisite: Configure the environment."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6299410e",
+   "metadata": {},
+   "source": [
+    "## 1. Install with pip\n",
+    "Let's install PrimeHub Python SDK with pip."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "907df9ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: primehub-python-sdk in /opt/conda/lib/python3.7/site-packages (0.3.8)\n",
+      "Requirement already satisfied: tabulate==0.8.9 in /opt/conda/lib/python3.7/site-packages (from primehub-python-sdk) (0.8.9)\n",
+      "Requirement already satisfied: types-tabulate==0.8.2 in /opt/conda/lib/python3.7/site-packages (from primehub-python-sdk) (0.8.2)\n",
+      "Requirement already satisfied: types-requests in /opt/conda/lib/python3.7/site-packages (from primehub-python-sdk) (2.28.11.5)\n",
+      "Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from primehub-python-sdk) (2.27.1)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->primehub-python-sdk) (3.3)\n",
+      "Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.7/site-packages (from requests->primehub-python-sdk) (2.0.12)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->primehub-python-sdk) (2020.6.20)\n",
+      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->primehub-python-sdk) (1.26.9)\n",
+      "Requirement already satisfied: types-urllib3<1.27 in /opt/conda/lib/python3.7/site-packages (from types-requests->primehub-python-sdk) (1.26.25.4)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install primehub-python-sdk"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6f1cb62e",
+   "metadata": {},
+   "source": [
+    "## 2. Request the API Token\n",
+    "In order to get the token, you have to have an account in the PrimeHub cluster, the following process will ask you loing with your account.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "2c6b24ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# PLEASE UPDATE PRIMEHUB_CLUSTER to your cluster\n",
+    "PRIMEHUB_CLUSTER = 'http://primehub-python-sdk.primehub.io'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "eeb4218a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from primehub import PrimeHub, PrimeHubConfig\n",
+    "\n",
+    "ph = PrimeHub(PrimeHubConfig())\n",
+    "if not os.path.isfile(os.path.join(os.getenv(\"HOME\"), \".primehub/config.json\")):\n",
+    "    ph.config.generate(PRIMEHUB_CLUSTER)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "04943d0e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "PrimeHub Python SDK setup successfully\n",
+      "Current Group: {'id': '11945641-279a-4042-8688-ef88769c21ca', 'name': 'demo_showcase', 'displayName': 'demo_showcase'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ph = PrimeHub(PrimeHubConfig())\n",
+    "if ph.is_ready():\n",
+    "    print(\"PrimeHub Python SDK setup successfully\")\n",
+    "    print(\"Current Group:\", ph.primehub_config.current_group)\n",
+    "else:\n",
+    "    print(\"PrimeHub Python SDK couldn't get the group information, please check the configuration.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75a015ef",
+   "metadata": {},
+   "source": [
+    "## 3. Check the account is Admin account\n",
+    "\n",
+    "Use `ph.me.me` to know that the account is admin account."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "98c6e517",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "account_information = ph.me.me()\n",
+    "account_information['isAdmin']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87d72f53",
+   "metadata": {},
+   "source": [
+    "## 4. Clean up the previous testing data.\n",
+    "\n",
+    "We need to clean up the previous data to prevent the notebook error,"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a2c205c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28ca4583",
+   "metadata": {},
+   "source": [
+    "# Part 2: End-User Journey or End2End ML Journey\n",
+    "We will test:\n",
+    "\n",
+    "- Submit a Job/schedule job\n",
+    "- List running jobs(status) submitted by the user\n",
+    "- List registered models with all of versions\n",
+    "- Submit a registered model as a deployment\n",
+    "- Update the deployment with other version of the model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9ba000a8",
+   "metadata": {},
+   "source": [
+    "### 1. Submit a Job/schedule job"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "2f02cbf7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'id': 'job-202211280818-5ojjpm', 'displayName': 'short-job', 'cancel': False, 'command': 'echo \"test1\"\\necho \"test2\"', 'groupId': '11945641-279a-4042-8688-ef88769c21ca', 'groupName': 'demo_showcase', 'image': 'base-notebook', 'instanceType': {'id': 'cpu-1', 'name': 'cpu-1', 'displayName': 'CPU 1', 'cpuLimit': 1, 'memoryLimit': 2, 'gpuLimit': 0}, 'userId': '35985b6b-21c9-4362-902d-4d6bb89074bf', 'userName': 'simonliu@infuseai.io', 'phase': 'Pending', 'reason': None, 'message': None, 'createTime': '2022-11-28T08:18:18Z', 'startTime': None, 'finishTime': None, 'recurrence': None}\n",
+      "[ Waiting ]\n",
+      "[ Job Done ]\n",
+      "[ Job Logs ]\n",
+      "test1\n",
+      "test2\n",
+      "Artifacts: no artifact found\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Submit a job\n",
+    "config = {\n",
+    "    \"instanceType\": \"cpu-1\",\n",
+    "    \"image\": \"base-notebook\",\n",
+    "    \"displayName\": \"short-job\",\n",
+    "    \"command\": \"echo \\\"test1\\\"\\necho \\\"test2\\\"\"\n",
+    "}\n",
+    "\n",
+    "short_job = ph.jobs.submit(config)\n",
+    "print(short_job)\n",
+    "\n",
+    "# Wait the job to be done\n",
+    "print('[ Waiting ]')\n",
+    "ph.jobs.wait(short_job['id'])\n",
+    "print('[ Job Done ]')\n",
+    "\n",
+    "# Get logs\n",
+    "logs = ph.jobs.logs(short_job['id'])\n",
+    "print('[ Job Logs ]')\n",
+    "for l in logs:\n",
+    "    print(l.decode(\"utf-8\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ec484cf1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'id': 'recurrence-9oybl9', 'displayName': 'test', 'recurrence': {'type': 'daily', 'cron': ''}, 'invalid': False, 'message': None, 'command': 'echo \"test!\"', 'groupId': '11945641-279a-4042-8688-ef88769c21ca', 'groupName': 'demo_showcase', 'image': 'base-notebook', 'instanceType': {'id': 'cpu-1', 'name': 'cpu-1', 'displayName': 'CPU 1', 'cpuLimit': 1, 'memoryLimit': 2, 'gpuLimit': 0}, 'userId': '35985b6b-21c9-4362-902d-4d6bb89074bf', 'userName': 'simonliu@infuseai.io', 'nextRunTime': None}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create a recurring job that runs at every 4 AM\n",
+    "config = {\n",
+    "    \"instanceType\": \"cpu-1\",\n",
+    "    \"image\": \"base-notebook\",\n",
+    "    \"displayName\": \"test\",\n",
+    "    \"command\": \"echo \\\"test!\\\"\",\n",
+    "    \"recurrence\": {\n",
+    "        \"type\":\"daily\",\n",
+    "        \"cron\":\"\"\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "recurring_job = ph.recurring_jobs.create(config)\n",
+    "print(recurring_job)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "4286e865",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>displayName</th>\n",
+       "      <th>recurrence</th>\n",
+       "      <th>invalid</th>\n",
+       "      <th>message</th>\n",
+       "      <th>command</th>\n",
+       "      <th>groupId</th>\n",
+       "      <th>groupName</th>\n",
+       "      <th>image</th>\n",
+       "      <th>instanceType</th>\n",
+       "      <th>userId</th>\n",
+       "      <th>userName</th>\n",
+       "      <th>nextRunTime</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>recurrence-9oybl9</td>\n",
+       "      <td>test</td>\n",
+       "      <td>{'type': 'daily', 'cron': ''}</td>\n",
+       "      <td>False</td>\n",
+       "      <td>None</td>\n",
+       "      <td>echo \"test!\"</td>\n",
+       "      <td>11945641-279a-4042-8688-ef88769c21ca</td>\n",
+       "      <td>demo_showcase</td>\n",
+       "      <td>base-notebook</td>\n",
+       "      <td>{'id': 'cpu-1', 'name': 'cpu-1', 'displayName'...</td>\n",
+       "      <td>35985b6b-21c9-4362-902d-4d6bb89074bf</td>\n",
+       "      <td>simonliu@infuseai.io</td>\n",
+       "      <td>2022-11-28T20:00:00Z</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  id displayName                     recurrence  invalid  \\\n",
+       "0  recurrence-9oybl9        test  {'type': 'daily', 'cron': ''}    False   \n",
+       "\n",
+       "  message       command                               groupId      groupName  \\\n",
+       "0    None  echo \"test!\"  11945641-279a-4042-8688-ef88769c21ca  demo_showcase   \n",
+       "\n",
+       "           image                                       instanceType  \\\n",
+       "0  base-notebook  {'id': 'cpu-1', 'name': 'cpu-1', 'displayName'...   \n",
+       "\n",
+       "                                 userId              userName  \\\n",
+       "0  35985b6b-21c9-4362-902d-4d6bb89074bf  simonliu@infuseai.io   \n",
+       "\n",
+       "            nextRunTime  \n",
+       "0  2022-11-28T20:00:00Z  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(list(ph.recurring_jobs.list()))\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "51b9df81",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 'recurrence-9oybl9'}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ph.recurring_jobs.delete(recurring_job['id'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c158195c",
+   "metadata": {},
+   "source": [
+    "### 2. List running jobs(status) submitted by the user\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "4324fe2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>displayName</th>\n",
+       "      <th>cancel</th>\n",
+       "      <th>command</th>\n",
+       "      <th>groupId</th>\n",
+       "      <th>groupName</th>\n",
+       "      <th>image</th>\n",
+       "      <th>instanceType</th>\n",
+       "      <th>userId</th>\n",
+       "      <th>userName</th>\n",
+       "      <th>phase</th>\n",
+       "      <th>reason</th>\n",
+       "      <th>message</th>\n",
+       "      <th>createTime</th>\n",
+       "      <th>startTime</th>\n",
+       "      <th>finishTime</th>\n",
+       "      <th>recurrence</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>job-202211280835-c4lbkd</td>\n",
+       "      <td>short-job</td>\n",
+       "      <td>None</td>\n",
+       "      <td>echo \"test1\"\\necho \"test2\"</td>\n",
+       "      <td>11945641-279a-4042-8688-ef88769c21ca</td>\n",
+       "      <td>demo_showcase</td>\n",
+       "      <td>base-notebook</td>\n",
+       "      <td>{'id': 'cpu-1', 'name': 'cpu-1', 'displayName'...</td>\n",
+       "      <td>35985b6b-21c9-4362-902d-4d6bb89074bf</td>\n",
+       "      <td>simonliu@infuseai.io</td>\n",
+       "      <td>Running</td>\n",
+       "      <td>PodRunning</td>\n",
+       "      <td>Job is currently running</td>\n",
+       "      <td>2022-11-28T08:35:27Z</td>\n",
+       "      <td>2022-11-28T08:35:32Z</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id displayName cancel                     command  \\\n",
+       "0  job-202211280835-c4lbkd   short-job   None  echo \"test1\"\\necho \"test2\"   \n",
+       "\n",
+       "                                groupId      groupName          image  \\\n",
+       "0  11945641-279a-4042-8688-ef88769c21ca  demo_showcase  base-notebook   \n",
+       "\n",
+       "                                        instanceType  \\\n",
+       "0  {'id': 'cpu-1', 'name': 'cpu-1', 'displayName'...   \n",
+       "\n",
+       "                                 userId              userName    phase  \\\n",
+       "0  35985b6b-21c9-4362-902d-4d6bb89074bf  simonliu@infuseai.io  Running   \n",
+       "\n",
+       "       reason                   message            createTime  \\\n",
+       "0  PodRunning  Job is currently running  2022-11-28T08:35:27Z   \n",
+       "\n",
+       "              startTime finishTime recurrence  \n",
+       "0  2022-11-28T08:35:32Z       None       None  "
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(list(ph.jobs.list()))\n",
+    "df[(df['phase']==\"Running\") & (df['userName']==\"simonliu@infuseai.io\")]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "82408add",
+   "metadata": {},
+   "source": [
+    "### 3. List registered models with all of versions\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "e7c49418",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>creationTimestamp</th>\n",
+       "      <th>lastUpdatedTimestamp</th>\n",
+       "      <th>description</th>\n",
+       "      <th>latestVersion</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>mnist</td>\n",
+       "      <td>2021-09-30 04:48:39</td>\n",
+       "      <td>2021-09-30 05:15:16</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>tf-screw-model</td>\n",
+       "      <td>2021-11-18 16:43:53</td>\n",
+       "      <td>2022-01-17 04:01:03</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>example</td>\n",
+       "      <td>2022-07-14 06:28:53</td>\n",
+       "      <td>2022-07-14 06:28:54</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>mask-detection-model</td>\n",
+       "      <td>2022-10-05 05:20:37</td>\n",
+       "      <td>2022-11-14 06:50:29</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   name   creationTimestamp lastUpdatedTimestamp description  \\\n",
+       "0                 mnist 2021-09-30 04:48:39  2021-09-30 05:15:16        None   \n",
+       "1        tf-screw-model 2021-11-18 16:43:53  2022-01-17 04:01:03        None   \n",
+       "2               example 2022-07-14 06:28:53  2022-07-14 06:28:54        None   \n",
+       "3  mask-detection-model 2022-10-05 05:20:37  2022-11-14 06:50:29        None   \n",
+       "\n",
+       "  latestVersion  \n",
+       "0             2  \n",
+       "1             1  \n",
+       "2             1  \n",
+       "3             4  "
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(ph.models.list())\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "ab62447a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>version</th>\n",
+       "      <th>creationTimestamp</th>\n",
+       "      <th>lastUpdatedTimestamp</th>\n",
+       "      <th>deployedBy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>mnist</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2021-09-30 04:48:39</td>\n",
+       "      <td>2021-09-30 04:48:39</td>\n",
+       "      <td>[{'id': 'mnist-1209-a9wjo', 'name': 'mnist-120...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>mnist</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2021-09-30 05:15:16</td>\n",
+       "      <td>2021-09-30 05:15:16</td>\n",
+       "      <td>[{'id': 'mnist-9ofpg', 'name': 'mnist'}]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    name version   creationTimestamp lastUpdatedTimestamp  \\\n",
+       "0  mnist       1 2021-09-30 04:48:39  2021-09-30 04:48:39   \n",
+       "1  mnist       2 2021-09-30 05:15:16  2021-09-30 05:15:16   \n",
+       "\n",
+       "                                          deployedBy  \n",
+       "0  [{'id': 'mnist-1209-a9wjo', 'name': 'mnist-120...  \n",
+       "1           [{'id': 'mnist-9ofpg', 'name': 'mnist'}]  "
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(ph.models.list_versions('mnist'))\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d617436",
+   "metadata": {},
+   "source": [
+    "### 4. Submit a registered model as a deployment\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "b2894613",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'id': 'deploymeny-from-sdk-zxy', 'name': 'deploymeny-from-sdk', 'modelImage': 'base-notebook', 'imagePullSecret': None, 'description': None, 'replicas': 1, 'stop': False, 'endpointAccessType': 'public', 'endpointClients': [], 'status': 'Deploying', 'endpoint': None, 'availableReplicas': None, 'message': None, 'pods': []}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create a deployment\n",
+    "config = {\n",
+    "    \"id\": \"deploymeny-from-sdk-zxy\",\n",
+    "    \"name\": \"deploymeny-from-sdk\",\n",
+    "    \"modelImage\": \"base-notebook\",\n",
+    "    \"modelURI\": \"test/module/uri\",\n",
+    "    \"instanceType\": \"cpu-1\",\n",
+    "    \"replicas\": 1\n",
+    "}\n",
+    "\n",
+    "deployment = ph.deployments.create(config)\n",
+    "print(deployment)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "fd6cdd5f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>name</th>\n",
+       "      <th>modelImage</th>\n",
+       "      <th>imagePullSecret</th>\n",
+       "      <th>description</th>\n",
+       "      <th>replicas</th>\n",
+       "      <th>stop</th>\n",
+       "      <th>endpointAccessType</th>\n",
+       "      <th>endpointClients</th>\n",
+       "      <th>status</th>\n",
+       "      <th>endpoint</th>\n",
+       "      <th>availableReplicas</th>\n",
+       "      <th>message</th>\n",
+       "      <th>pods</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>deploymeny-from-sdk-zxy</td>\n",
+       "      <td>deploymeny-from-sdk</td>\n",
+       "      <td>base-notebook</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>public</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>Deploying</td>\n",
+       "      <td>https://c.demo.primehub.io/deployment/deployme...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Failed because of wrong image settings.\\npod[d...</td>\n",
+       "      <td>[{'name': 'deploy-deploymeny-from-sdk-zxy-cf9b...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id                 name     modelImage  \\\n",
+       "0  deploymeny-from-sdk-zxy  deploymeny-from-sdk  base-notebook   \n",
+       "\n",
+       "  imagePullSecret description  replicas   stop endpointAccessType  \\\n",
+       "0            None        None         1  False             public   \n",
+       "\n",
+       "  endpointClients     status  \\\n",
+       "0              []  Deploying   \n",
+       "\n",
+       "                                            endpoint  availableReplicas  \\\n",
+       "0  https://c.demo.primehub.io/deployment/deployme...                NaN   \n",
+       "\n",
+       "                                             message  \\\n",
+       "0  Failed because of wrong image settings.\\npod[d...   \n",
+       "\n",
+       "                                                pods  \n",
+       "0  [{'name': 'deploy-deploymeny-from-sdk-zxy-cf9b...  "
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(ph.deployments.list())\n",
+    "df[df['name'] == \"deploymeny-from-sdk\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6843b2b1",
+   "metadata": {},
+   "source": [
+    "### 5. Update the deployment with other version of the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "cfe67c0d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 'deploymeny-from-sdk-zxy',\n",
+       " 'name': 'deploymeny-from-sdk',\n",
+       " 'modelImage': 'base-notebook',\n",
+       " 'imagePullSecret': None,\n",
+       " 'description': None,\n",
+       " 'replicas': 2,\n",
+       " 'stop': False,\n",
+       " 'endpointAccessType': 'public',\n",
+       " 'endpointClients': [],\n",
+       " 'status': 'Deploying',\n",
+       " 'endpoint': 'https://c.demo.primehub.io/deployment/deploymeny-from-sdk-zxy/api/v1.0/predictions',\n",
+       " 'availableReplicas': None,\n",
+       " 'message': 'Failed because of wrong image settings.\\npod[deploy-deploymeny-from-sdk-zxy-cf9b9bc6f-fmd7d] failed\\n  reason: ContainersNotInitialized, message: containers with incomplete status: [model-storage-initializer]\\n  container state: Waiting, reason: ImagePullBackOff, message Back-off pulling image \"gcr.io/kfserving/storage-initializer:v0.4.0\"',\n",
+       " 'pods': [{'name': 'deploy-deploymeny-from-sdk-zxy-cf9b9bc6f-fmd7d'}]}"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Update the deployment\n",
+    "update_config = {\n",
+    "    \"replicas\": 2\n",
+    "}\n",
+    "\n",
+    "ph.deployments.update(deployment['id'], update_config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "4e934562",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>name</th>\n",
+       "      <th>modelImage</th>\n",
+       "      <th>imagePullSecret</th>\n",
+       "      <th>description</th>\n",
+       "      <th>replicas</th>\n",
+       "      <th>stop</th>\n",
+       "      <th>endpointAccessType</th>\n",
+       "      <th>endpointClients</th>\n",
+       "      <th>status</th>\n",
+       "      <th>endpoint</th>\n",
+       "      <th>availableReplicas</th>\n",
+       "      <th>message</th>\n",
+       "      <th>pods</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>deploymeny-from-sdk-zxy</td>\n",
+       "      <td>deploymeny-from-sdk</td>\n",
+       "      <td>base-notebook</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>public</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>Deploying</td>\n",
+       "      <td>https://c.demo.primehub.io/deployment/deployme...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Failed because of wrong image settings.\\npod[d...</td>\n",
+       "      <td>[{'name': 'deploy-deploymeny-from-sdk-zxy-cf9b...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id                 name     modelImage  \\\n",
+       "0  deploymeny-from-sdk-zxy  deploymeny-from-sdk  base-notebook   \n",
+       "\n",
+       "  imagePullSecret description  replicas   stop endpointAccessType  \\\n",
+       "0            None        None         2  False             public   \n",
+       "\n",
+       "  endpointClients     status  \\\n",
+       "0              []  Deploying   \n",
+       "\n",
+       "                                            endpoint  availableReplicas  \\\n",
+       "0  https://c.demo.primehub.io/deployment/deployme...                NaN   \n",
+       "\n",
+       "                                             message  \\\n",
+       "0  Failed because of wrong image settings.\\npod[d...   \n",
+       "\n",
+       "                                                pods  \n",
+       "0  [{'name': 'deploy-deploymeny-from-sdk-zxy-cf9b...  "
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(ph.deployments.list())\n",
+    "df[df['name'] == \"deploymeny-from-sdk\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "3ef611a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 'deploymeny-from-sdk-zxy'}"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Delete a deployment\n",
+    "ph.deployments.delete(deployment['id'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "2f21afc6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>name</th>\n",
+       "      <th>modelImage</th>\n",
+       "      <th>imagePullSecret</th>\n",
+       "      <th>description</th>\n",
+       "      <th>replicas</th>\n",
+       "      <th>stop</th>\n",
+       "      <th>endpointAccessType</th>\n",
+       "      <th>endpointClients</th>\n",
+       "      <th>status</th>\n",
+       "      <th>endpoint</th>\n",
+       "      <th>availableReplicas</th>\n",
+       "      <th>message</th>\n",
+       "      <th>pods</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [id, name, modelImage, imagePullSecret, description, replicas, stop, endpointAccessType, endpointClients, status, endpoint, availableReplicas, message, pods]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame.from_records(ph.deployments.list())\n",
+    "df[df['name'] == \"deploymeny-from-sdk\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13803df3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/screenplay/insight-operation.ipynb b/docs/screenplay/insight-operation.ipynb
new file mode 100644
index 0000000..bcc0d93
--- /dev/null
+++ b/docs/screenplay/insight-operation.ipynb
@@ -0,0 +1,291 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "721c2b0e",
+   "metadata": {},
+   "source": [
+    "In order to make the SDK working, you have to\n",
+    "\n",
+    "- install the library with pip\n",
+    "- create a config file in the ~/.primehub/config.json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "43754ebb",
+   "metadata": {},
+   "source": [
+    "# Part 1: prerequisite: Configure the environment."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f960f00",
+   "metadata": {},
+   "source": [
+    "## 1. Install with pip\n",
+    "Let's install PrimeHub Python SDK with pip."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "00159582",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install -q primehub-python-sdk"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bd8c43ab",
+   "metadata": {},
+   "source": [
+    "## 2. Request the API Token\n",
+    "In order to get the token, you have to have an account in the PrimeHub cluster, the following process will ask you loing with your account.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "bc0382a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# PLEASE UPDATE PRIMEHUB_CLUSTER to your cluster\n",
+    "PRIMEHUB_CLUSTER = 'http://primehub-python-sdk.primehub.io'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "796d206c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from primehub import PrimeHub, PrimeHubConfig\n",
+    "\n",
+    "ph = PrimeHub(PrimeHubConfig())\n",
+    "if not os.path.isfile(os.path.join(os.getenv(\"HOME\"), \".primehub/config.json\")):\n",
+    "    ph.config.generate(PRIMEHUB_CLUSTER)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "2e9fd865",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "PrimeHub Python SDK setup successfully\n",
+      "Current Group: {'id': '11945641-279a-4042-8688-ef88769c21ca', 'name': 'demo_showcase', 'displayName': 'demo_showcase'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ph = PrimeHub(PrimeHubConfig())\n",
+    "if ph.is_ready():\n",
+    "    print(\"PrimeHub Python SDK setup successfully\")\n",
+    "    print(\"Current Group:\", ph.primehub_config.current_group)\n",
+    "else:\n",
+    "    print(\"PrimeHub Python SDK couldn't get the group information, please check the configuration.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15d83e19",
+   "metadata": {},
+   "source": [
+    "## 3. Check the account is Admin account\n",
+    "\n",
+    "Use `ph.me.me` to know that the account is admin account."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afeb3b85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "account_information = ph.me.me()\n",
+    "account_information['isAdmin']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f8aa428",
+   "metadata": {},
+   "source": [
+    "# Part 2: Insight operation\n",
+    "We will test:\n",
+    "    \n",
+    "- Get a user list of a group\n",
+    "- Get a group list\n",
+    "- Get a self-hosted image list (with size)\n",
+    "- To learn the summary of occupied resources by running Notebooks(user) & Jobs(user) & Deployments(user) & Apps(user) (of a group)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a10f85c0",
+   "metadata": {},
+   "source": [
+    "## 1. Get a user list of a group"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1dfd6a6a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6031d352",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame.from_records(list(ph.admin.groups.list()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88e91909",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame.from_records(list(ph.admin.users.list()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b36937d",
+   "metadata": {},
+   "source": [
+    "## 2. Get a group list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d4b852e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame.from_records(list(ph.admin.groups.list()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4eef640b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame.from_records(list(ph.groups.list()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "48a4543a",
+   "metadata": {},
+   "source": [
+    "### 3. Get a self-hosted image list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1406dd20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame.from_records(list(ph.admin.images.list()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30ad5bfb",
+   "metadata": {},
+   "source": [
+    "### 4. To learn the summary of occupied resources by running Notebooks(user) & Jobs(user) & Deployments(user) & Apps(user) (of a group)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f4dbaa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame.from_records(list(ph.jobs.list()))\n",
+    "df[df['userName'] == \"hlb@infuseai.io\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "502bdfb4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame.from_records(list(ph.deployments.list()))\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "177665a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame.from_records(list(ph.apps.list()))\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0d213e0b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}