{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Operationalize end-to-end Amazon Personalize model deployment process using AWS Step Functions Data Science SDK\n",
    "\n",
    "1. [Introduction](#Introduction)\n",
    "2. [Setup](#Setup)\n",
    "3. [Task-States](#Task-States)\n",
    "4. [Wait-States](#Wait-States)\n",
    "5. [Choice-States](#Choice-States)\n",
    "6. [Workflow](#Workflow)\n",
    "7. [Generate-Recommendations](#Generate-Recommendations)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This notebook describes using the AWS Step Functions Data Science SDK to create and manage an Amazon Personalize workflow. The Step Functions SDK is an open source library that allows data scientists to easily create and execute machine learning workflows using AWS Step Functions. For more information on Step Functions SDK, see the following.\n",
    "* [AWS Step Functions](https://aws.amazon.com/step-functions/)\n",
    "* [AWS Step Functions Developer Guide](https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html)\n",
    "* [AWS Step Functions Data Science SDK](https://aws-step-functions-data-science-sdk.readthedocs.io)\n",
    "\n",
    "In this notebook we will use the SDK to create steps to create Personalize resources, link them together to create a workflow, and execute the workflow in AWS Step Functions. \n",
    "\n",
    "For more information, on Amazon Personalize see the following.\n",
    "\n",
    "* [Amazon Personalize](https://aws.amazon.com/personalize/)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import required modules from the SDK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 890,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import sys\n",
    "#!{sys.executable} -m pip install --upgrade stepfunctions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 891,
   "metadata": {},
   "outputs": [],
   "source": [
    "import boto3\n",
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import time\n",
    "\n",
    "personalize = boto3.client('personalize')\n",
    "personalize_runtime = boto3.client('personalize-runtime')\n",
    "\n",
    "\n",
    "import stepfunctions\n",
    "import logging\n",
    "\n",
    "from stepfunctions.steps import *\n",
    "from stepfunctions.workflow import Workflow\n",
    "\n",
    "stepfunctions.set_stream_logger(level=logging.INFO)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup S3 location and filename\n",
    "create an Amazon S3 bucket to store the training dataset and provide the Amazon S3 bucket name and file name in the walkthrough notebook  step Setup S3 location and filename below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 892,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket = \"<SAMPLE BUCKET NAME>\"       # replace with the name of your S3 bucket\n",
    "filename = \"<SAMPLE FILE NAME>\"  # replace with a name that you want to save the dataset under"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup IAM Roles\n",
    "\n",
    "#### Create an execution role for Step Functions\n",
    "\n",
    "You need an execution role so that you can create and execute workflows in Step Functions.\n",
    "\n",
    "1. Go to the [IAM console](https://console.aws.amazon.com/iam/)\n",
    "2. Select **Roles** and then **Create role**.\n",
    "3. Under **Choose the service that will use this role** select **Step Functions**\n",
    "4. Choose **Next** until you can enter a **Role name**\n",
    "5. Enter a name such as `StepFunctionsWorkflowExecutionRole` and then select **Create role**\n",
    "\n",
    "\n",
    "Attach a policy to the role you created. The following steps attach a policy that provides full access to Step Functions, however as a good practice you should only provide access to the resources you need.  \n",
    "\n",
    "1. Under the **Permissions** tab, click **Add inline policy**\n",
    "2. Enter the following in the **JSON** tab\n",
    "\n",
    "```json\n",
    "{\n",
    "    \"Version\": \"2012-10-17\",\n",
    "    \"Statement\": [\n",
    "    \n",
    "        {\n",
    "            \"Effect\": \"Allow\",\n",
    "            \"Action\": [\n",
    "                \"personalize:*\"\n",
    "            ],\n",
    "            \"Resource\": \"*\"\n",
    "        },   \n",
    "\n",
    "        {\n",
    "            \"Effect\": \"Allow\",\n",
    "            \"Action\": [\n",
    "                \"lambda:InvokeFunction\"\n",
    "            ],\n",
    "            \"Resource\": \"*\"\n",
    "        },\n",
    "        {\n",
    "            \"Effect\": \"Allow\",\n",
    "            \"Action\": [\n",
    "                \"iam:PassRole\"\n",
    "            ],\n",
    "            \"Resource\": \"*\",\n",
    "        },\n",
    "        {\n",
    "            \"Effect\": \"Allow\",\n",
    "            \"Action\": [\n",
    "                \"events:PutTargets\",\n",
    "                \"events:PutRule\",\n",
    "                \"events:DescribeRule\"\n",
    "            ],\n",
    "            \"Resource\": \"*\"\n",
    "        }\n",
    "    ]\n",
    "}\n",
    "```\n",
    "\n",
    "3. Choose **Review policy** and give the policy a name such as `StepFunctionsWorkflowExecutionPolicy`\n",
    "4. Choose **Create policy**. You will be redirected to the details page for the role.\n",
    "5. Copy the **Role ARN** at the top of the **Summary**\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "workflow_execution_role = \"<workflow-execution-role>\" # paste the StepFunctionsWorkflowExecutionRole ARN from above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 893,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_role = LambdaStep(\n",
    "    state_id=\"create bucket and role\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_create_personalize_role\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"bucket\": bucket\n",
    "        }\n",
    "    },\n",
    "    result_path='$'\n",
    " \n",
    ")\n",
    "\n",
    "lambda_state_role.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_role.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CreateRoleTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Attach Policy to S3 Bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 894,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ResponseMetadata': {'RequestId': 'CD1EF0803009C0DF',\n",
       "  'HostId': '/S5SnhjYlSY8ARlyZnuSFJPnFzh4TsZ8COqiuXe7SHgel7whbtryHpRpnzqfcUZn1oz1pcss8L8=',\n",
       "  'HTTPStatusCode': 204,\n",
       "  'HTTPHeaders': {'x-amz-id-2': '/S5SnhjYlSY8ARlyZnuSFJPnFzh4TsZ8COqiuXe7SHgel7whbtryHpRpnzqfcUZn1oz1pcss8L8=',\n",
       "   'x-amz-request-id': 'CD1EF0803009C0DF',\n",
       "   'date': 'Tue, 05 Jan 2021 22:27:33 GMT',\n",
       "   'server': 'AmazonS3'},\n",
       "  'RetryAttempts': 0}}"
      ]
     },
     "execution_count": 894,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s3 = boto3.client(\"s3\")\n",
    "\n",
    "policy = {\n",
    "    \"Version\": \"2012-10-17\",\n",
    "    \"Id\": \"PersonalizeS3BucketAccessPolicy\",\n",
    "    \"Statement\": [\n",
    "        {\n",
    "            \"Sid\": \"PersonalizeS3BucketAccessPolicy\",\n",
    "            \"Effect\": \"Allow\",\n",
    "            \"Principal\": {\n",
    "                \"Service\": \"personalize.amazonaws.com\"\n",
    "            },\n",
    "            \"Action\": [\n",
    "                \"s3:GetObject\",\n",
    "                \"s3:ListBucket\"\n",
    "            ],\n",
    "            \"Resource\": [\n",
    "                \"arn:aws:s3:::{}\".format(bucket),\n",
    "                \"arn:aws:s3:::{}/*\".format(bucket)\n",
    "                \n",
    "            ]\n",
    "        }\n",
    "    ]\n",
    "}\n",
    "\n",
    "s3.put_bucket_policy(Bucket=bucket, Policy=json.dumps(policy))\n",
    "\n",
    "# AmazonPersonalizeFullAccess provides access to any S3 bucket with a name that includes \"personalize\" or \"Personalize\" \n",
    "# if you would like to use a bucket with a different name, please consider creating and attaching a new policy\n",
    "# that provides read access to your bucket or attaching the AmazonS3ReadOnlyAccess policy to the role\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Personalize Role\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "iam = boto3.client(\"iam\")\n",
    "\n",
    "role_name = \"personalize-role\" # Create a personalize role\n",
    "\n",
    "\n",
    "assume_role_policy_document = {\n",
    "    \"Version\": \"2012-10-17\",\n",
    "    \"Statement\": [\n",
    "        {\n",
    "          \"Effect\": \"Allow\",\n",
    "          \"Principal\": {\n",
    "            \"Service\": \"personalize.amazonaws.com\"\n",
    "          },\n",
    "          \"Action\": \"sts:AssumeRole\"\n",
    "        }\n",
    "    ]\n",
    "}\n",
    "\n",
    "create_role_response = iam.create_role(\n",
    "    RoleName = role_name,\n",
    "    AssumeRolePolicyDocument = json.dumps(assume_role_policy_document)\n",
    ")\n",
    "\n",
    "\n",
    "\n",
    "policy_arn = \"arn:aws:iam::aws:policy/service-role/AmazonPersonalizeFullAccess\"\n",
    "iam.attach_role_policy(\n",
    "    RoleName = role_name,\n",
    "    PolicyArn = policy_arn\n",
    ")\n",
    "\n",
    "time.sleep(60) # wait for a minute to allow IAM role policy attachment to propagate\n",
    "\n",
    "role_arn = create_role_response[\"Role\"][\"Arn\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 895,
   "metadata": {},
   "outputs": [],
   "source": [
    "role_arn = \"<personalize-role-arn>\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data-Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download, Prepare, and Upload Training Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 896,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ec2-user/SageMaker/Personalize-Workflow\r\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 897,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-01-05 22:27:32--  http://files.grouplens.org/datasets/movielens/ml-100k.zip\n",
      "Resolving files.grouplens.org (files.grouplens.org)... 128.101.65.152\n",
      "Connecting to files.grouplens.org (files.grouplens.org)|128.101.65.152|:80... connected.\n",
      "HTTP request sent, awaiting response... 304 Not Modified\n",
      "File ‘ml-100k.zip’ not modified on server. Omitting download.\n",
      "\n",
      "Archive:  ml-100k.zip\n",
      "  inflating: ml-100k/allbut.pl       \n",
      "  inflating: ml-100k/mku.sh          \n",
      "  inflating: ml-100k/README          \n",
      "  inflating: ml-100k/u.data          \n",
      "  inflating: ml-100k/u.genre         \n",
      "  inflating: ml-100k/u.info          \n",
      "  inflating: ml-100k/u.item          \n",
      "  inflating: ml-100k/u.occupation    \n",
      "  inflating: ml-100k/u.user          \n",
      "  inflating: ml-100k/u1.base         \n",
      "  inflating: ml-100k/u1.test         \n",
      "  inflating: ml-100k/u2.base         \n",
      "  inflating: ml-100k/u2.test         \n",
      "  inflating: ml-100k/u3.base         \n",
      "  inflating: ml-100k/u3.test         \n",
      "  inflating: ml-100k/u4.base         \n",
      "  inflating: ml-100k/u4.test         \n",
      "  inflating: ml-100k/u5.base         \n",
      "  inflating: ml-100k/u5.test         \n",
      "  inflating: ml-100k/ua.base         \n",
      "  inflating: ml-100k/ua.test         \n",
      "  inflating: ml-100k/ub.base         \n",
      "  inflating: ml-100k/ub.test         \n"
     ]
    },
    {
     "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>USER_ID</th>\n",
       "      <th>ITEM_ID</th>\n",
       "      <th>RATING</th>\n",
       "      <th>TIMESTAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>196</td>\n",
       "      <td>242</td>\n",
       "      <td>3</td>\n",
       "      <td>881250949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>186</td>\n",
       "      <td>302</td>\n",
       "      <td>3</td>\n",
       "      <td>891717742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99998</th>\n",
       "      <td>13</td>\n",
       "      <td>225</td>\n",
       "      <td>2</td>\n",
       "      <td>882399156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99999</th>\n",
       "      <td>12</td>\n",
       "      <td>203</td>\n",
       "      <td>3</td>\n",
       "      <td>879959583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       USER_ID  ITEM_ID  RATING  TIMESTAMP\n",
       "0          196      242       3  881250949\n",
       "1          186      302       3  891717742\n",
       "...        ...      ...     ...        ...\n",
       "99998       13      225       2  882399156\n",
       "99999       12      203       3  879959583\n",
       "\n",
       "[100000 rows x 4 columns]"
      ]
     },
     "execution_count": 897,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "!wget -N http://files.grouplens.org/datasets/movielens/ml-100k.zip\n",
    "!unzip -o ml-100k.zip\n",
    "data = pd.read_csv('./ml-100k/u.data', sep='\\t', names=['USER_ID', 'ITEM_ID', 'RATING', 'TIMESTAMP'])\n",
    "pd.set_option('display.max_rows', 5)\n",
    "data\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 898,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data[data['RATING'] > 2]                # keep only movies rated 2 and above\n",
    "data2 = data[['USER_ID', 'ITEM_ID', 'TIMESTAMP']] \n",
    "data2.to_csv(filename, index=False)\n",
    "\n",
    "boto3.Session().resource('s3').Bucket(bucket).Object(filename).upload_file(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task-States"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lambda Task state\n",
    "\n",
    "A `Task` State in Step Functions represents a single unit of work performed by a workflow. Tasks can call Lambda functions and orchestrate other AWS services. See [AWS Service Integrations](https://docs.aws.amazon.com/step-functions/latest/dg/concepts-service-integrations.html) in the *AWS Step Functions Developer Guide*.\n",
    "\n",
    "The following creates a [LambdaStep](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/compute.html#stepfunctions.steps.compute.LambdaStep) called `lambda_state`, and then configures the options to [Retry](https://docs.aws.amazon.com/step-functions/latest/dg/concepts-error-handling.html#error-handling-retrying-after-an-error) if the Lambda function fails.\n",
    "\n",
    "#### Create a Lambda functions\n",
    "\n",
    "The Lambda task states in this workflow uses Lambda function **(Python 3.x)** that returns a Personalize resources such as Schema, Datasetgroup, Dataset, Solution, SolutionVersion, etc. Create the following functions in the [Lambda console](https://console.aws.amazon.com/lambda/).\n",
    "\n",
    "1. stepfunction-create-schema\n",
    "2. stepfunctioncreatedatagroup\n",
    "3. stepfunctioncreatedataset\n",
    "4. stepfunction-createdatasetimportjob\n",
    "5. stepfunction_select-recipe_create-solution\n",
    "6. stepfunction_create_solution_version\n",
    "7. stepfunction_getsolution_metric_create_campaign\n",
    "\n",
    "Copy/Paste the corresponding lambda function code from ./Lambda/ folder in the repo\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Schema\n",
    "\n",
    "Before you add a dataset to Amazon Personalize, you must define a schema for that dataset. Once you define the schema and create the dataset, you can't make changes to the schema.for more information refer this documentation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 899,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_schema = LambdaStep(\n",
    "    state_id=\"create schema\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction-create-schema\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"input\": \"personalize-stepfunction-schema3484\"\n",
    "        }\n",
    "    },\n",
    "    result_path='$'    \n",
    ")\n",
    "\n",
    "lambda_state_schema.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_schema.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CreateSchemaTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Datasetgroup\n",
    "\n",
    "Craete Datasetgroup: Creates an empty dataset group. A dataset group contains related datasets that supply data for training a model. A dataset group can contain at most three datasets, one for each type of dataset:\n",
    "•\tInteractions\n",
    "•\tItems\n",
    "•\tUsers\n",
    "To train a model (create a solution), a dataset group that contains an Interactions dataset is required. Call CreateDataset to add a dataset to the group.\n",
    "\n",
    "After you have created a schema , we will create another Stepfunction state based on this lambda function stepfunctioncreatedatagroup.py  below in github lambdas folder by running the Create Datasetgroup¶ step of the notebook. We are using python boto3 APIs to create_dataset_group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 900,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_datasetgroup = LambdaStep(\n",
    "    state_id=\"create dataset Group\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunctioncreatedatagroup\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"input\": \"personalize-stepfunction-dataset-group\", \n",
    "           \"schemaArn.$\": '$.Payload.schemaArn'\n",
    "        }\n",
    "    },\n",
    "\n",
    "    result_path='$'\n",
    ")\n",
    "\n",
    "\n",
    "\n",
    "lambda_state_datasetgroup.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "\n",
    "lambda_state_datasetgroup.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CreateDataSetGroupTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Dataset\n",
    "\n",
    "Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.\n",
    "\n",
    "There are three types of datasets:\n",
    "\n",
    "Interactions\n",
    "\n",
    "Items\n",
    "\n",
    "Users\n",
    "\n",
    "Each dataset type has an associated schema with required field types. Only the Interactions dataset is required in order to train a model (also referred to as creating a solution)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 901,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_createdataset = LambdaStep(\n",
    "    state_id=\"create dataset\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunctioncreatedataset\", #replace with the name of the function you created\n",
    "#        \"Payload\": {  \n",
    "#           \"schemaArn.$\": '$.Payload.schemaArn',\n",
    "#           \"datasetGroupArn.$\": '$.Payload.datasetGroupArn',\n",
    "            \n",
    "            \n",
    "#        }\n",
    "        \n",
    "        \"Payload\": {  \n",
    "           \"schemaArn.$\": '$.schemaArn',\n",
    "           \"datasetGroupArn.$\": '$.datasetGroupArn',        \n",
    "        } \n",
    "        \n",
    "        \n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_createdataset.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_createdataset.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CreateDataSetTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Dataset Import Job\n",
    "\n",
    "When you have completed Step 1: Creating a Dataset Group and Step 2: Creating a Dataset and a Schema, you are ready to import your training data into Amazon Personalize. When you import data, you can choose to import records in bulk, import records individually, or both, depending on your business requirements and the amount of historical data you have collected. If you have a large amount of historical records, \n",
    "we recommend you first import data in bulk and then add data incrementally as necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 902,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_datasetimportjob = LambdaStep(\n",
    "    state_id=\"create dataset import job\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction-createdatasetimportjob\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"datasetimportjob\": \"stepfunction-createdatasetimportjob\",\n",
    "           \"dataset_arn.$\": '$.Payload.dataset_arn',\n",
    "           \"datasetGroupArn.$\": '$.Payload.datasetGroupArn',\n",
    "           \"bucket_name\": bucket,\n",
    "           \"file_name\": filename,\n",
    "           \"role_arn\": role_arn\n",
    "            \n",
    "        }\n",
    "    },\n",
    "\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_datasetimportjob.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_datasetimportjob.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"DatasetImportJobTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Solution\n",
    "\n",
    "Once you have finished Preparing and Importing Data, you are ready to create a Solution. A Solution refers to the combination of an Amazon Personalize recipe, customized parameters, and one or more solution versions (trained models). Once you create a solution with a solution version, you can create a campaign to deploy the solution version and get recommendations.\n",
    "\n",
    "To create a solution in Amazon Personalize, you do the following:\n",
    "\n",
    "Choose a recipe – A recipe is an Amazon Personalize term specifying an appropriate algorithm to train for a given use case. See Step 1: Choosing a Recipe.\n",
    "\n",
    "Configure a solution – Customize solution parameters and recipe-specific hyperparameters so the model meets your specific business needs. See Step 2: Configuring a Solution.\n",
    "\n",
    "Create a solution version (train a model) – Train the machine learning model Amazon Personalize will use to generate recommendations for your customers. See Step 3: Creating a Solution Version.\n",
    "\n",
    "Evaluate the solution version – Use the metrics Amazon Personalize generates from the new solution version to evaluate the performance of the model. See Step 4: Evaluating the Solution Version.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Choosing a Recipe and Configuring a Solution\n",
    "\n",
    "A recipe is an Amazon Personalize term specifying an appropriate algorithm to train for a given use case. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 903,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_select_receipe_create_solution = LambdaStep(\n",
    "    state_id=\"select receipe and create solution\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_select-recipe_create-solution\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           #\"dataset_group_arn.$\": '$.Payload.datasetGroupArn' \n",
    "            \"dataset_group_arn.$\": '$.datasetGroupArn'\n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_select_receipe_create_solution.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_select_receipe_create_solution.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"DatasetReceiptCreateSolutionTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Solution Version\n",
    "\n",
    "Once you have completed Choosing a Recipe and Configuring a Solution, you are ready to create a Solution Version. A Solution Version refers to a trained machine learning model you can deploy to get recommendations for customers. You can create a solution version using the console, AWS Command Line Interface (AWS CLI), or AWS SDK."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 904,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_create_solution_version = LambdaStep(\n",
    "    state_id=\"create solution version\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_create_solution_version\", \n",
    "        \"Payload\": {  \n",
    "           \"solution_arn.$\": '$.Payload.solution_arn'           \n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_create_solution_version.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_create_solution_version.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CreateSolutionVersionTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create Campaign\n",
    "\n",
    "A campaign is used to make recommendations for your users. You create a campaign by deploying a solution version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 905,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_create_campaign = LambdaStep(\n",
    "    state_id=\"create campaign\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_getsolution_metric_create_campaign\", \n",
    "        \"Payload\": {  \n",
    "            #\"solution_version_arn.$\": '$.Payload.solution_version_arn'  \n",
    "            \"solution_version_arn.$\": '$.solution_version_arn'\n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_create_campaign.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_create_campaign.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CreateCampaignTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wait-States\n",
    "\n",
    "#### A `Wait` state in Step Functions waits a specific amount of time. See [Wait](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/states.html#stepfunctions.steps.states.Wait) in the AWS Step Functions Data Science SDK documentation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Schema to be ready"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 906,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_schema = Wait(\n",
    "    state_id=\"Wait for create schema - 5 secs\",\n",
    "    seconds=5\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Datasetgroup to be ready"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 907,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_datasetgroup = Wait(\n",
    "    state_id=\"Wait for datasetgroup - 30 secs\",\n",
    "    seconds=30\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Dataset to be ready"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 908,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_dataset = Wait(\n",
    "    state_id=\"wait for dataset - 30 secs\",\n",
    "    seconds=30\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Dataset Import Job to be ACTIVE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 909,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_datasetimportjob = Wait(\n",
    "    state_id=\"Wait for datasetimportjob - 30 secs\",\n",
    "    seconds=30\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Receipe to ready"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 910,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_receipe = Wait(\n",
    "    state_id=\"Wait for receipe - 30 secs\",\n",
    "    seconds=30\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Solution Version to be ACTIVE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 911,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_solutionversion = Wait(\n",
    "    state_id=\"Wait for solution version - 60 secs\",\n",
    "    seconds=60\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wait for Campaign to be ACTIVE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 912,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_state_campaign = Wait(\n",
    "    state_id=\"Wait for Campaign - 30 secs\",\n",
    "    seconds=30\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "### Check status of the lambda task and take action accordingly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### If a state fails, move it to `Fail` state. See [Fail](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/states.html#stepfunctions.steps.states.Fail) in the AWS Step Functions Data Science SDK documentation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### check datasetgroup status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 913,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_datasetgroupstatus = LambdaStep(\n",
    "    state_id=\"check dataset Group status\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_waitforDatasetGroup\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"input.$\": '$.Payload.datasetGroupArn',\n",
    "           \"schemaArn.$\": '$.Payload.schemaArn'\n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_datasetgroupstatus.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_datasetgroupstatus.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"DatasetGroupStatusTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### check dataset import job status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 914,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_datasetimportjob_status = LambdaStep(\n",
    "    state_id=\"check dataset import job status\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_waitfordatasetimportjob\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"dataset_import_job_arn.$\": '$.Payload.dataset_import_job_arn',\n",
    "           \"datasetGroupArn.$\": '$.Payload.datasetGroupArn'\n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_datasetimportjob_status.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_datasetimportjob_status.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"DatasetImportJobStatusTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### check solution version status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 915,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "solutionversion_succeed_state = Succeed(\n",
    "    state_id=\"The Solution Version ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 916,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_solutionversion_status = LambdaStep(\n",
    "    state_id=\"check solution version status\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_waitforSolutionVersion\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"solution_version_arn.$\": '$.Payload.solution_version_arn'           \n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_solutionversion_status.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_solutionversion_status.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"SolutionVersionStatusTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### check campaign status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 917,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_campaign_status = LambdaStep(\n",
    "    state_id=\"check campaign status\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_waitforCampaign\", #replace with the name of the function you created\n",
    "        \"Payload\": {  \n",
    "           \"campaign_arn.$\": '$.Payload.campaign_arn'           \n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_campaign_status.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_campaign_status.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"CampaignStatusTaskFailed\")\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Choice-States\n",
    "\n",
    "Now, attach branches to the Choice state you created earlier. See *Choice Rules* in the [AWS Step Functions Data Science SDK documentation](https://aws-step-functions-data-science-sdk.readthedocs.io) ."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Chain together steps for the define the workflow path\n",
    "\n",
    "The following cell links together the steps you've created above into a sequential group. The new path sequentially includes the Lambda state, Wait state, and the Succeed state that you created earlier.\n",
    "\n",
    "#### After chaining together the steps for the workflow path, we will define and visualize the workflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 918,
   "metadata": {},
   "outputs": [],
   "source": [
    "create_campaign_choice_state = Choice(\n",
    "    state_id=\"Is the Campaign ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 919,
   "metadata": {},
   "outputs": [],
   "source": [
    "create_campaign_choice_state.add_choice(\n",
    "    rule=ChoiceRule.StringEquals(variable=lambda_state_campaign_status.output()['Payload']['status'], value='ACTIVE'),\n",
    "    next_step=Succeed(\"CampaignCreatedSuccessfully\")     \n",
    ")\n",
    "create_campaign_choice_state.add_choice(\n",
    "    ChoiceRule.StringEquals(variable=lambda_state_campaign_status.output()['Payload']['status'], value='CREATE PENDING'),\n",
    "    next_step=wait_state_campaign\n",
    ")\n",
    "create_campaign_choice_state.add_choice(\n",
    "    ChoiceRule.StringEquals(variable=lambda_state_campaign_status.output()['Payload']['status'], value='CREATE IN_PROGRESS'),\n",
    "    next_step=wait_state_campaign\n",
    ")\n",
    "\n",
    "create_campaign_choice_state.default_choice(next_step=Fail(\"CreateCampaignFailed\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 920,
   "metadata": {},
   "outputs": [],
   "source": [
    "solutionversion_choice_state = Choice(\n",
    "    state_id=\"Is the Solution Version ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 921,
   "metadata": {},
   "outputs": [],
   "source": [
    "solutionversion_succeed_state = Succeed(\n",
    "    state_id=\"The Solution Version ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 922,
   "metadata": {},
   "outputs": [],
   "source": [
    "solutionversion_choice_state.add_choice(\n",
    "    rule=ChoiceRule.StringEquals(variable=lambda_state_solutionversion_status.output()['Payload']['status'], value='ACTIVE'),\n",
    "    next_step=solutionversion_succeed_state   \n",
    ")\n",
    "solutionversion_choice_state.add_choice(\n",
    "    ChoiceRule.StringEquals(variable=lambda_state_solutionversion_status.output()['Payload']['status'], value='CREATE PENDING'),\n",
    "    next_step=wait_state_solutionversion\n",
    ")\n",
    "solutionversion_choice_state.add_choice(\n",
    "    ChoiceRule.StringEquals(variable=lambda_state_solutionversion_status.output()['Payload']['status'], value='CREATE IN_PROGRESS'),\n",
    "    next_step=wait_state_solutionversion\n",
    ")\n",
    "\n",
    "solutionversion_choice_state.default_choice(next_step=Fail(\"create_solution_version_failed\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 923,
   "metadata": {},
   "outputs": [],
   "source": [
    "datasetimportjob_succeed_state = Succeed(\n",
    "    state_id=\"The Solution Version ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 924,
   "metadata": {},
   "outputs": [],
   "source": [
    "datasetimportjob_choice_state = Choice(\n",
    "    state_id=\"Is the DataSet Import Job ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 925,
   "metadata": {},
   "outputs": [],
   "source": [
    "datasetimportjob_choice_state.add_choice(\n",
    "    rule=ChoiceRule.StringEquals(variable=lambda_state_datasetimportjob_status.output()['Payload']['status'], value='ACTIVE'),\n",
    "    next_step=datasetimportjob_succeed_state   \n",
    ")\n",
    "datasetimportjob_choice_state.add_choice(\n",
    "    ChoiceRule.StringEquals(variable=lambda_state_datasetimportjob_status.output()['Payload']['status'], value='CREATE PENDING'),\n",
    "    next_step=wait_state_datasetimportjob\n",
    ")\n",
    "datasetimportjob_choice_state.add_choice(\n",
    "    ChoiceRule.StringEquals(variable=lambda_state_datasetimportjob_status.output()['Payload']['status'], value='CREATE IN_PROGRESS'),\n",
    "    next_step=wait_state_datasetimportjob\n",
    ")\n",
    "\n",
    "\n",
    "datasetimportjob_choice_state.default_choice(next_step=Fail(\"dataset_import_job_failed\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 926,
   "metadata": {},
   "outputs": [],
   "source": [
    "datasetgroupstatus_choice_state = Choice(\n",
    "    state_id=\"Is the DataSetGroup ready?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Workflow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define Workflow\n",
    "\n",
    "In the following cell, you will define the step that you will use in our workflow.  Then you will create, visualize and execute the workflow. \n",
    "\n",
    "Steps relate to states in AWS Step Functions. For more information, see [States](https://docs.aws.amazon.com/step-functions/latest/dg/concepts-states.html) in the *AWS Step Functions Developer Guide*. For more information on the AWS Step Functions Data Science SDK APIs, see: https://aws-step-functions-data-science-sdk.readthedocs.io. \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset workflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 927,
   "metadata": {},
   "outputs": [],
   "source": [
    "Dataset_workflow_definition=Chain([lambda_state_schema,\n",
    "                                   wait_state_schema,\n",
    "                                   lambda_state_datasetgroup,\n",
    "                                   wait_state_datasetgroup,\n",
    "                                   lambda_state_datasetgroupstatus\n",
    "                                  ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 928,
   "metadata": {},
   "outputs": [],
   "source": [
    "Dataset_workflow = Workflow(\n",
    "    name=\"Dataset-workflow\",\n",
    "    definition=Dataset_workflow_definition,\n",
    "    role=workflow_execution_role\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 929,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-830\" class=\"workflowgraph\">\n",
       "    \n",
       "    <svg></svg>\n",
       "    \n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-830')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 600,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"create schema\", \"States\": {\"create schema\": {\"Parameters\": {\"FunctionName\": \"stepfunction-create-schema\", \"Payload\": {\"input\": \"personalize-stepfunction-schema3484\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for create schema - 5 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"CreateSchemaTaskFailed\"}]}, \"Wait for create schema - 5 secs\": {\"Seconds\": 5, \"Type\": \"Wait\", \"Next\": \"create dataset Group\"}, \"create dataset Group\": {\"Parameters\": {\"FunctionName\": \"stepfunctioncreatedatagroup\", \"Payload\": {\"input\": \"personalize-stepfunction-dataset-group\", \"schemaArn.$\": \"$.Payload.schemaArn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for datasetgroup - 30 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"CreateDataSetGroupTaskFailed\"}]}, \"Wait for datasetgroup - 30 secs\": {\"Seconds\": 30, \"Type\": \"Wait\", \"Next\": \"check dataset Group status\"}, \"check dataset Group status\": {\"Parameters\": {\"FunctionName\": \"stepfunction_waitforDatasetGroup\", \"Payload\": {\"input.$\": \"$.Payload.datasetGroupArn\", \"schemaArn.$\": \"$.Payload.schemaArn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"End\": true, \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"DatasetGroupStatusTaskFailed\"}]}, \"DatasetGroupStatusTaskFailed\": {\"Type\": \"Fail\"}, \"CreateDataSetGroupTaskFailed\": {\"Type\": \"Fail\"}, \"CreateSchemaTaskFailed\": {\"Type\": \"Fail\"}}};\n",
       "    var elementId = '#graph-830';\n",
       "\n",
       "    var graph = new sfn.StateMachineGraph(definition, elementId, options);\n",
       "    graph.render();\n",
       "});\n",
       "\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 929,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Dataset_workflow.render_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 930,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow created successfully on AWS Step Functions.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "DatasetWorkflowArn = Dataset_workflow.create()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DatasetImportWorkflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 931,
   "metadata": {},
   "outputs": [],
   "source": [
    "DatasetImport_workflow_definition=Chain([lambda_state_createdataset,\n",
    "                                   wait_state_dataset,\n",
    "                                   lambda_state_datasetimportjob,\n",
    "                                   wait_state_datasetimportjob,\n",
    "                                   lambda_state_datasetimportjob_status,\n",
    "                                   datasetimportjob_choice_state\n",
    "                                  ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 932,
   "metadata": {},
   "outputs": [],
   "source": [
    "DatasetImport_workflow = Workflow(\n",
    "    name=\"DatasetImport-workflow\",\n",
    "    definition=DatasetImport_workflow_definition,\n",
    "    role=workflow_execution_role\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 933,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-299\" class=\"workflowgraph\">\n",
       "    \n",
       "    <svg></svg>\n",
       "    \n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-299')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 600,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"create dataset\", \"States\": {\"create dataset\": {\"Parameters\": {\"FunctionName\": \"stepfunctioncreatedataset\", \"Payload\": {\"schemaArn.$\": \"$.schemaArn\", \"datasetGroupArn.$\": \"$.datasetGroupArn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"wait for dataset - 30 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"CreateDataSetTaskFailed\"}]}, \"wait for dataset - 30 secs\": {\"Seconds\": 30, \"Type\": \"Wait\", \"Next\": \"create dataset import job\"}, \"create dataset import job\": {\"Parameters\": {\"FunctionName\": \"stepfunction-createdatasetimportjob\", \"Payload\": {\"datasetimportjob\": \"stepfunction-createdatasetimportjob\", \"dataset_arn.$\": \"$.Payload.dataset_arn\", \"datasetGroupArn.$\": \"$.Payload.datasetGroupArn\", \"bucket_name\": \"sagemaker-neel3\", \"file_name\": \"testpersonalize.csv\", \"role_arn\": \"arn:aws:iam::261602857181:role/personalize14002\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for datasetimportjob - 30 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"DatasetImportJobTaskFailed\"}]}, \"Wait for datasetimportjob - 30 secs\": {\"Seconds\": 30, \"Type\": \"Wait\", \"Next\": \"check dataset import job status\"}, \"check dataset import job status\": {\"Parameters\": {\"FunctionName\": \"stepfunction_waitfordatasetimportjob\", \"Payload\": {\"dataset_import_job_arn.$\": \"$.Payload.dataset_import_job_arn\", \"datasetGroupArn.$\": \"$.Payload.datasetGroupArn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Is the DataSet Import Job ready?\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"DatasetImportJobStatusTaskFailed\"}]}, \"Is the DataSet Import Job ready?\": {\"Type\": \"Choice\", \"Choices\": [{\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"ACTIVE\", \"Next\": \"The Solution Version ready?\"}, {\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"CREATE PENDING\", \"Next\": \"Wait for datasetimportjob - 30 secs\"}, {\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"CREATE IN_PROGRESS\", \"Next\": \"Wait for datasetimportjob - 30 secs\"}], \"Default\": \"dataset_import_job_failed\"}, \"dataset_import_job_failed\": {\"Type\": \"Fail\"}, \"The Solution Version ready?\": {\"Type\": \"Succeed\"}, \"DatasetImportJobStatusTaskFailed\": {\"Type\": \"Fail\"}, \"DatasetImportJobTaskFailed\": {\"Type\": \"Fail\"}, \"CreateDataSetTaskFailed\": {\"Type\": \"Fail\"}}};\n",
       "    var elementId = '#graph-299';\n",
       "\n",
       "    var graph = new sfn.StateMachineGraph(definition, elementId, options);\n",
       "    graph.render();\n",
       "});\n",
       "\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 933,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DatasetImport_workflow.render_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 934,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow created successfully on AWS Step Functions.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "DatasetImportflowArn = DatasetImport_workflow.create()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recepie and Solution workflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 935,
   "metadata": {},
   "outputs": [],
   "source": [
    "Create_receipe_sol_workflow_definition=Chain([lambda_state_select_receipe_create_solution,\n",
    "                                   wait_state_receipe,\n",
    "                                   lambda_create_solution_version,\n",
    "                                   wait_state_solutionversion,\n",
    "                                   lambda_state_solutionversion_status,\n",
    "                                   solutionversion_choice_state\n",
    "                                  ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 936,
   "metadata": {},
   "outputs": [],
   "source": [
    "Create_receipe_sol_workflow = Workflow(\n",
    "    name=\"Create_receipe_sol-workflow\",\n",
    "    definition=Create_receipe_sol_workflow_definition,\n",
    "    role=workflow_execution_role\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 937,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-420\" class=\"workflowgraph\">\n",
       "    \n",
       "    <svg></svg>\n",
       "    \n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-420')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 600,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"select receipe and create solution\", \"States\": {\"select receipe and create solution\": {\"Parameters\": {\"FunctionName\": \"stepfunction_select-recipe_create-solution\", \"Payload\": {\"dataset_group_arn.$\": \"$.datasetGroupArn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for receipe - 30 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"DatasetReceiptCreateSolutionTaskFailed\"}]}, \"Wait for receipe - 30 secs\": {\"Seconds\": 30, \"Type\": \"Wait\", \"Next\": \"create solution version\"}, \"create solution version\": {\"Parameters\": {\"FunctionName\": \"stepfunction_create_solution_version\", \"Payload\": {\"solution_arn.$\": \"$.Payload.solution_arn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for solution version - 60 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"CreateSolutionVersionTaskFailed\"}]}, \"Wait for solution version - 60 secs\": {\"Seconds\": 60, \"Type\": \"Wait\", \"Next\": \"check solution version status\"}, \"check solution version status\": {\"Parameters\": {\"FunctionName\": \"stepfunction_waitforSolutionVersion\", \"Payload\": {\"solution_version_arn.$\": \"$.Payload.solution_version_arn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Is the Solution Version ready?\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"SolutionVersionStatusTaskFailed\"}]}, \"Is the Solution Version ready?\": {\"Type\": \"Choice\", \"Choices\": [{\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"ACTIVE\", \"Next\": \"The Solution Version ready?\"}, {\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"CREATE PENDING\", \"Next\": \"Wait for solution version - 60 secs\"}, {\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"CREATE IN_PROGRESS\", \"Next\": \"Wait for solution version - 60 secs\"}], \"Default\": \"create_solution_version_failed\"}, \"create_solution_version_failed\": {\"Type\": \"Fail\"}, \"The Solution Version ready?\": {\"Type\": \"Succeed\"}, \"SolutionVersionStatusTaskFailed\": {\"Type\": \"Fail\"}, \"CreateSolutionVersionTaskFailed\": {\"Type\": \"Fail\"}, \"DatasetReceiptCreateSolutionTaskFailed\": {\"Type\": \"Fail\"}}};\n",
       "    var elementId = '#graph-420';\n",
       "\n",
       "    var graph = new sfn.StateMachineGraph(definition, elementId, options);\n",
       "    graph.render();\n",
       "});\n",
       "\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 937,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Create_receipe_sol_workflow.render_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 938,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow created successfully on AWS Step Functions.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "CreateReceipeArn = Create_receipe_sol_workflow.create()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create Campaign Workflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 939,
   "metadata": {},
   "outputs": [],
   "source": [
    "Create_Campaign_workflow_definition=Chain([lambda_create_campaign,\n",
    "                                   wait_state_campaign,\n",
    "                                   lambda_state_campaign_status,\n",
    "                                   wait_state_datasetimportjob,\n",
    "                                   create_campaign_choice_state\n",
    "                                  ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 940,
   "metadata": {},
   "outputs": [],
   "source": [
    "Campaign_workflow = Workflow(\n",
    "    name=\"Campaign-workflow\",\n",
    "    definition=Create_Campaign_workflow_definition,\n",
    "    role=workflow_execution_role\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 941,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-847\" class=\"workflowgraph\">\n",
       "    \n",
       "    <svg></svg>\n",
       "    \n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-847')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 600,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"create campaign\", \"States\": {\"create campaign\": {\"Parameters\": {\"FunctionName\": \"stepfunction_getsolution_metric_create_campaign\", \"Payload\": {\"solution_version_arn.$\": \"$.solution_version_arn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for Campaign - 30 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"CreateCampaignTaskFailed\"}]}, \"Wait for Campaign - 30 secs\": {\"Seconds\": 30, \"Type\": \"Wait\", \"Next\": \"check campaign status\"}, \"check campaign status\": {\"Parameters\": {\"FunctionName\": \"stepfunction_waitforCampaign\", \"Payload\": {\"campaign_arn.$\": \"$.Payload.campaign_arn\"}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for datasetimportjob - 30 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"CampaignStatusTaskFailed\"}]}, \"Wait for datasetimportjob - 30 secs\": {\"Seconds\": 30, \"Type\": \"Wait\", \"Next\": \"Is the Campaign ready?\"}, \"Is the Campaign ready?\": {\"Type\": \"Choice\", \"Choices\": [{\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"ACTIVE\", \"Next\": \"CampaignCreatedSuccessfully\"}, {\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"CREATE PENDING\", \"Next\": \"Wait for Campaign - 30 secs\"}, {\"Variable\": \"$['Payload']['status']\", \"StringEquals\": \"CREATE IN_PROGRESS\", \"Next\": \"Wait for Campaign - 30 secs\"}], \"Default\": \"CreateCampaignFailed\"}, \"CreateCampaignFailed\": {\"Type\": \"Fail\"}, \"CampaignCreatedSuccessfully\": {\"Type\": \"Succeed\"}, \"CampaignStatusTaskFailed\": {\"Type\": \"Fail\"}, \"CreateCampaignTaskFailed\": {\"Type\": \"Fail\"}}};\n",
       "    var elementId = '#graph-847';\n",
       "\n",
       "    var graph = new sfn.StateMachineGraph(definition, elementId, options);\n",
       "    graph.render();\n",
       "});\n",
       "\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 941,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Campaign_workflow.render_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 942,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow created successfully on AWS Step Functions.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "CreateCampaignArn = Campaign_workflow.create()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Main workflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 943,
   "metadata": {},
   "outputs": [],
   "source": [
    "call_dataset_workflow_state = Task(\n",
    "    state_id=\"DataSetWorkflow\",\n",
    "    resource=\"arn:aws:states:::states:startExecution.sync:2\",\n",
    "    parameters={\n",
    "                                \"Input\": \"true\",\n",
    "                                #\"StateMachineArn\": \"arn:aws:states:us-east-1:444602785259:stateMachine:Dataset-workflow\",\n",
    "                                \"StateMachineArn\": DatasetWorkflowArn\n",
    "                }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 944,
   "metadata": {},
   "outputs": [],
   "source": [
    "call_datasetImport_workflow_state = Task(\n",
    "    state_id=\"DataSetImportWorkflow\",\n",
    "    resource=\"arn:aws:states:::states:startExecution.sync:2\",\n",
    "    parameters={\n",
    "                                 \"Input\":{\n",
    "                                    \"schemaArn.$\": \"$.Output.Payload.schemaArn\",\n",
    "                                    \"datasetGroupArn.$\": \"$.Output.Payload.datasetGroupArn\"\n",
    "                                   },\n",
    "                                \"StateMachineArn\": DatasetImportflowArn,\n",
    "                }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 945,
   "metadata": {},
   "outputs": [],
   "source": [
    "call_receipe_solution_workflow_state = Task(\n",
    "    state_id=\"ReceipeSolutionWorkflow\",\n",
    "    resource=\"arn:aws:states:::states:startExecution.sync:2\",\n",
    "    parameters={\n",
    "                                 \"Input\":{\n",
    "                                    \"datasetGroupArn.$\": \"$.Output.Payload.datasetGroupArn\"\n",
    "\n",
    "                                   },\n",
    "                                \"StateMachineArn\": CreateReceipeArn\n",
    "                }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 946,
   "metadata": {},
   "outputs": [],
   "source": [
    "call_campaign_solution_workflow_state = Task(\n",
    "    state_id=\"CampaignWorkflow\",\n",
    "    resource=\"arn:aws:states:::states:startExecution.sync:2\",\n",
    "    parameters={\n",
    "                                 \"Input\":{\n",
    "                                    \"solution_version_arn.$\": \"$.Output.Payload.solution_version_arn\"\n",
    "\n",
    "                                   },\n",
    "                                \"StateMachineArn\": CreateCampaignArn\n",
    "                }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 947,
   "metadata": {},
   "outputs": [],
   "source": [
    "Main_workflow_definition=Chain([call_dataset_workflow_state,\n",
    "                                call_datasetImport_workflow_state,\n",
    "                                call_receipe_solution_workflow_state,\n",
    "                                call_campaign_solution_workflow_state\n",
    "                               ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 948,
   "metadata": {},
   "outputs": [],
   "source": [
    "Main_workflow = Workflow(\n",
    "    name=\"Main-workflow\",\n",
    "    definition=Main_workflow_definition,\n",
    "    role=workflow_execution_role\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 949,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-295\" class=\"workflowgraph\">\n",
       "    \n",
       "    <svg></svg>\n",
       "    \n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-295')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 600,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"DataSetWorkflow\", \"States\": {\"DataSetWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": \"true\", \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\"}, \"Type\": \"Task\", \"Next\": \"DataSetImportWorkflow\"}, \"DataSetImportWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": {\"schemaArn.$\": \"$.Output.Payload.schemaArn\", \"datasetGroupArn.$\": \"$.Output.Payload.datasetGroupArn\"}, \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:DatasetImport-workflow\"}, \"Type\": \"Task\", \"Next\": \"ReceipeSolutionWorkflow\"}, \"ReceipeSolutionWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": {\"datasetGroupArn.$\": \"$.Output.Payload.datasetGroupArn\"}, \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Create_receipe_sol-workflow\"}, \"Type\": \"Task\", \"Next\": \"CampaignWorkflow\"}, \"CampaignWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": {\"solution_version_arn.$\": \"$.Output.Payload.solution_version_arn\"}, \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Campaign-workflow\"}, \"Type\": \"Task\", \"End\": true}}};\n",
       "    var elementId = '#graph-295';\n",
       "\n",
       "    var graph = new sfn.StateMachineGraph(definition, elementId, options);\n",
       "    graph.render();\n",
       "});\n",
       "\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 949,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Main_workflow.render_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 950,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow created successfully on AWS Step Functions.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'arn:aws:states:us-east-1:261602857181:stateMachine:Main-workflow'"
      ]
     },
     "execution_count": 950,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Main_workflow.create()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 951,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow execution started successfully on AWS Step Functions.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "Main_workflow_execution = Main_workflow.execute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Main_workflow_execution = Workflow(\n",
    "    name=\"Campaign_Workflow\",\n",
    "    definition=path1,\n",
    "    role=workflow_execution_role\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 952,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Main_workflow_execution.render_graph()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create and execute the workflow\n",
    "\n",
    "In the next cells, we will create the branching happy workflow in AWS Step Functions with [create](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Workflow.create) and execute it with [execute](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Workflow.execute).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 953,
   "metadata": {},
   "outputs": [],
   "source": [
    "#personalize_workflow.create()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 954,
   "metadata": {},
   "outputs": [],
   "source": [
    "#personalize_workflow_execution = happy_workflow.execute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Review the workflow progress\n",
    "\n",
    "Review the workflow progress with the [render_progress](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Execution.render_progress).\n",
    "\n",
    "Review the execution history by calling [list_events](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Execution.list_events) to list all events in the workflow execution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 962,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-35\" class=\"workflowgraph\">\n",
       "    \n",
       "    <style>\n",
       "        .graph-legend ul {\n",
       "            list-style-type: none;\n",
       "            padding: 10px;\n",
       "            padding-left: 0;\n",
       "            margin: 0;\n",
       "            position: absolute;\n",
       "            top: 0;\n",
       "            background: transparent;\n",
       "        }\n",
       "\n",
       "        .graph-legend li {\n",
       "            margin-left: 10px;\n",
       "            display: inline-block;\n",
       "        }\n",
       "\n",
       "        .graph-legend li > div {\n",
       "            width: 10px;\n",
       "            height: 10px;\n",
       "            display: inline-block;\n",
       "        }\n",
       "\n",
       "        .graph-legend .success { background-color: #2BD62E }\n",
       "        .graph-legend .failed { background-color: #DE322F }\n",
       "        .graph-legend .cancelled { background-color: #DDDDDD }\n",
       "        .graph-legend .in-progress { background-color: #53C9ED }\n",
       "        .graph-legend .caught-error { background-color: #FFA500 }\n",
       "    </style>\n",
       "    <div class=\"graph-legend\">\n",
       "        <ul>\n",
       "            <li>\n",
       "                <div class=\"success\"></div>\n",
       "                <span>Success</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"failed\"></div>\n",
       "                <span>Failed</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"cancelled\"></div>\n",
       "                <span>Cancelled</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"in-progress\"></div>\n",
       "                <span>In Progress</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"caught-error\"></div>\n",
       "                <span>Caught Error</span>\n",
       "            </li>\n",
       "        </ul>\n",
       "    </div>\n",
       "\n",
       "    <svg></svg>\n",
       "    <a href=\"https://console.aws.amazon.com/states/home?region=us-east-1#/executions/details/arn:aws:states:us-east-1:261602857181:execution:Main-workflow:b6da53f3-3042-4b23-a017-d102b283ab4b\" target=\"_blank\"> Inspect in AWS Step Functions </a>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-35')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 1000,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"DataSetWorkflow\", \"States\": {\"DataSetWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": \"true\", \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\"}, \"Type\": \"Task\", \"Next\": \"DataSetImportWorkflow\"}, \"DataSetImportWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": {\"schemaArn.$\": \"$.Output.Payload.schemaArn\", \"datasetGroupArn.$\": \"$.Output.Payload.datasetGroupArn\"}, \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:DatasetImport-workflow\"}, \"Type\": \"Task\", \"Next\": \"ReceipeSolutionWorkflow\"}, \"ReceipeSolutionWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": {\"datasetGroupArn.$\": \"$.Output.Payload.datasetGroupArn\"}, \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Create_receipe_sol-workflow\"}, \"Type\": \"Task\", \"Next\": \"CampaignWorkflow\"}, \"CampaignWorkflow\": {\"Resource\": \"arn:aws:states:::states:startExecution.sync:2\", \"Parameters\": {\"Input\": {\"solution_version_arn.$\": \"$.Output.Payload.solution_version_arn\"}, \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Campaign-workflow\"}, \"Type\": \"Task\", \"End\": true}}};\n",
       "    var elementId = '#graph-35';\n",
       "    var events = { 'events': [{\"timestamp\": 1609885654.744, \"type\": \"ExecutionStarted\", \"id\": 1, \"previousEventId\": 0, \"executionStartedEventDetails\": {\"input\": \"{}\", \"roleArn\": \"arn:aws:iam::261602857181:role/StepFunctionsWorkflowExecutionRole\"}}, {\"timestamp\": 1609885654.779, \"type\": \"TaskStateEntered\", \"id\": 2, \"previousEventId\": 0, \"stateEnteredEventDetails\": {\"name\": \"DataSetWorkflow\", \"input\": \"{}\"}}, {\"timestamp\": 1609885654.779, \"type\": \"TaskScheduled\", \"id\": 3, \"previousEventId\": 2, \"taskScheduledEventDetails\": {\"resourceType\": \"states\", \"resource\": \"startExecution.sync:2\", \"region\": \"us-east-1\", \"parameters\": \"{\\\"Input\\\":\\\"true\\\",\\\"StateMachineArn\\\":\\\"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\\\"}\"}}, {\"timestamp\": 1609885654.817, \"type\": \"TaskStarted\", \"id\": 4, \"previousEventId\": 3, \"taskStartedEventDetails\": {\"resourceType\": \"states\", \"resource\": \"startExecution.sync:2\"}}, {\"timestamp\": 1609885654.924, \"type\": \"TaskSubmitted\", \"id\": 5, \"previousEventId\": 4, \"taskSubmittedEventDetails\": {\"resourceType\": \"states\", \"resource\": \"startExecution.sync:2\", \"output\": \"{\\\"ExecutionArn\\\":\\\"arn:aws:states:us-east-1:261602857181:execution:Dataset-workflow:8184d018-96a2-4bf5-8afe-b0e08b675813\\\",\\\"SdkHttpMetadata\\\":{\\\"AllHttpHeaders\\\":{\\\"x-amzn-RequestId\\\":[\\\"937c7020-0a76-4ed5-80b7-6d22f9c8163d\\\"],\\\"Content-Length\\\":[\\\"149\\\"],\\\"Content-Type\\\":[\\\"application/x-amz-json-1.0\\\"]},\\\"HttpHeaders\\\":{\\\"Content-Length\\\":\\\"149\\\",\\\"Content-Type\\\":\\\"application/x-amz-json-1.0\\\",\\\"x-amzn-RequestId\\\":\\\"937c7020-0a76-4ed5-80b7-6d22f9c8163d\\\"},\\\"HttpStatusCode\\\":200},\\\"SdkResponseMetadata\\\":{\\\"RequestId\\\":\\\"937c7020-0a76-4ed5-80b7-6d22f9c8163d\\\"},\\\"StartDate\\\":1609885654868}\"}}, {\"timestamp\": 1609885693.879, \"type\": \"TaskSucceeded\", \"id\": 6, \"previousEventId\": 5, \"taskSucceededEventDetails\": {\"resourceType\": \"states\", \"resource\": \"startExecution.sync:2\", \"output\": \"{\\\"ExecutionArn\\\":\\\"arn:aws:states:us-east-1:261602857181:execution:Dataset-workflow:8184d018-96a2-4bf5-8afe-b0e08b675813\\\",\\\"Input\\\":true,\\\"InputDetails\\\":{\\\"Included\\\":true},\\\"Name\\\":\\\"8184d018-96a2-4bf5-8afe-b0e08b675813\\\",\\\"Output\\\":{\\\"ExecutedVersion\\\":\\\"$LATEST\\\",\\\"Payload\\\":{\\\"status\\\":\\\"ACTIVE\\\",\\\"DatasetGroup\\\":\\\"ACTIVE\\\",\\\"datasetGroupArn\\\":\\\"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\\\",\\\"schemaArn\\\":\\\"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\\\"},\\\"SdkHttpMetadata\\\":{\\\"AllHttpHeaders\\\":{\\\"X-Amz-Executed-Version\\\":[\\\"$LATEST\\\"],\\\"x-amzn-Remapped-Content-Length\\\":[\\\"0\\\"],\\\"Connection\\\":[\\\"keep-alive\\\"],\\\"x-amzn-RequestId\\\":[\\\"3d098791-f078-499d-94ac-336d6d0568bc\\\"],\\\"Content-Length\\\":[\\\"266\\\"],\\\"Date\\\":[\\\"Tue, 05 Jan 2021 22:28:12 GMT\\\"],\\\"X-Amzn-Trace-Id\\\":[\\\"root=1-5ff4e7fb-0cae1ef66afb50a23fc5d67c;sampled=0\\\"],\\\"Content-Type\\\":[\\\"application/json\\\"]},\\\"HttpHeaders\\\":{\\\"Connection\\\":\\\"keep-alive\\\",\\\"Content-Length\\\":\\\"266\\\",\\\"Content-Type\\\":\\\"application/json\\\",\\\"Date\\\":\\\"Tue, 05 Jan 2021 22:28:12 GMT\\\",\\\"X-Amz-Executed-Version\\\":\\\"$LATEST\\\",\\\"x-amzn-Remapped-Content-Length\\\":\\\"0\\\",\\\"x-amzn-RequestId\\\":\\\"3d098791-f078-499d-94ac-336d6d0568bc\\\",\\\"X-Amzn-Trace-Id\\\":\\\"root=1-5ff4e7fb-0cae1ef66afb50a23fc5d67c;sampled=0\\\"},\\\"HttpStatusCode\\\":200},\\\"SdkResponseMetadata\\\":{\\\"RequestId\\\":\\\"3d098791-f078-499d-94ac-336d6d0568bc\\\"},\\\"StatusCode\\\":200},\\\"OutputDetails\\\":{\\\"Included\\\":true},\\\"StartDate\\\":1609885654868,\\\"StateMachineArn\\\":\\\"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\\\",\\\"Status\\\":\\\"SUCCEEDED\\\",\\\"StopDate\\\":1609885692401}\"}}, {\"timestamp\": 1609885693.879, \"type\": \"TaskStateExited\", \"id\": 7, \"previousEventId\": 6, \"stateExitedEventDetails\": {\"name\": \"DataSetWorkflow\", \"output\": \"{\\\"ExecutionArn\\\":\\\"arn:aws:states:us-east-1:261602857181:execution:Dataset-workflow:8184d018-96a2-4bf5-8afe-b0e08b675813\\\",\\\"Input\\\":true,\\\"InputDetails\\\":{\\\"Included\\\":true},\\\"Name\\\":\\\"8184d018-96a2-4bf5-8afe-b0e08b675813\\\",\\\"Output\\\":{\\\"ExecutedVersion\\\":\\\"$LATEST\\\",\\\"Payload\\\":{\\\"status\\\":\\\"ACTIVE\\\",\\\"DatasetGroup\\\":\\\"ACTIVE\\\",\\\"datasetGroupArn\\\":\\\"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\\\",\\\"schemaArn\\\":\\\"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\\\"},\\\"SdkHttpMetadata\\\":{\\\"AllHttpHeaders\\\":{\\\"X-Amz-Executed-Version\\\":[\\\"$LATEST\\\"],\\\"x-amzn-Remapped-Content-Length\\\":[\\\"0\\\"],\\\"Connection\\\":[\\\"keep-alive\\\"],\\\"x-amzn-RequestId\\\":[\\\"3d098791-f078-499d-94ac-336d6d0568bc\\\"],\\\"Content-Length\\\":[\\\"266\\\"],\\\"Date\\\":[\\\"Tue, 05 Jan 2021 22:28:12 GMT\\\"],\\\"X-Amzn-Trace-Id\\\":[\\\"root=1-5ff4e7fb-0cae1ef66afb50a23fc5d67c;sampled=0\\\"],\\\"Content-Type\\\":[\\\"application/json\\\"]},\\\"HttpHeaders\\\":{\\\"Connection\\\":\\\"keep-alive\\\",\\\"Content-Length\\\":\\\"266\\\",\\\"Content-Type\\\":\\\"application/json\\\",\\\"Date\\\":\\\"Tue, 05 Jan 2021 22:28:12 GMT\\\",\\\"X-Amz-Executed-Version\\\":\\\"$LATEST\\\",\\\"x-amzn-Remapped-Content-Length\\\":\\\"0\\\",\\\"x-amzn-RequestId\\\":\\\"3d098791-f078-499d-94ac-336d6d0568bc\\\",\\\"X-Amzn-Trace-Id\\\":\\\"root=1-5ff4e7fb-0cae1ef66afb50a23fc5d67c;sampled=0\\\"},\\\"HttpStatusCode\\\":200},\\\"SdkResponseMetadata\\\":{\\\"RequestId\\\":\\\"3d098791-f078-499d-94ac-336d6d0568bc\\\"},\\\"StatusCode\\\":200},\\\"OutputDetails\\\":{\\\"Included\\\":true},\\\"StartDate\\\":1609885654868,\\\"StateMachineArn\\\":\\\"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\\\",\\\"Status\\\":\\\"SUCCEEDED\\\",\\\"StopDate\\\":1609885692401}\"}}, {\"timestamp\": 1609885693.886, \"type\": \"TaskStateEntered\", \"id\": 8, \"previousEventId\": 7, \"stateEnteredEventDetails\": {\"name\": \"DataSetImportWorkflow\", \"input\": 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       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609885692401\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>7</span>\n",
       "        </td>\n",
       "        <td>TaskStateExited</td>\n",
       "        <td>DataSetWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>135.0</td>\n",
       "        <td>Jan 05, 2021 10:28:13.879 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"name\": \"DataSetWorkflow\",\n",
       "    \"output\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Dataset-workflow:8184d018-96a2-4bf5-8afe-b0e08b675813\",\n",
       "        \"Input\": true,\n",
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       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
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       "                \"DatasetGroup\": \"ACTIVE\",\n",
       "                \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\",\n",
       "                \"schemaArn\": \"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\"\n",
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       "                    ],\n",
       "                    \"Date\": [\n",
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       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
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       "                    \"x-amzn-RequestId\": \"3d098791-f078-499d-94ac-336d6d0568bc\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4e7fb-0cae1ef66afb50a23fc5d67c;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"3d098791-f078-499d-94ac-336d6d0568bc\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609885654868,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609885692401\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>8</span>\n",
       "        </td>\n",
       "        <td>TaskStateEntered</td>\n",
       "        <td>DataSetImportWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>142.0</td>\n",
       "        <td>Jan 05, 2021 10:28:13.886 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "        \"InputDetails\": {\n",
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       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"DatasetGroup\": \"ACTIVE\",\n",
       "                \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\",\n",
       "                \"schemaArn\": \"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\"\n",
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       "                    ],\n",
       "                    \"Connection\": [\n",
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       "                    \"Date\": [\n",
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       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
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       "                    \"x-amzn-RequestId\": \"3d098791-f078-499d-94ac-336d6d0568bc\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4e7fb-0cae1ef66afb50a23fc5d67c;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"3d098791-f078-499d-94ac-336d6d0568bc\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609885654868,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Dataset-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609885692401\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>9</span>\n",
       "        </td>\n",
       "        <td>TaskScheduled</td>\n",
       "        <td>DataSetImportWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>142.0</td>\n",
       "        <td>Jan 05, 2021 10:28:13.886 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"region\": \"us-east-1\",\n",
       "    \"parameters\": {\n",
       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\",\n",
       "            \"schemaArn\": \"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\"\n",
       "        },\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:DatasetImport-workflow\"\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>10</span>\n",
       "        </td>\n",
       "        <td>TaskStarted</td>\n",
       "        <td>DataSetImportWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>156.0</td>\n",
       "        <td>Jan 05, 2021 10:28:13.900 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\"\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>11</span>\n",
       "        </td>\n",
       "        <td>TaskSubmitted</td>\n",
       "        <td>DataSetImportWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>272.0</td>\n",
       "        <td>Jan 05, 2021 10:28:14.016 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"output\": {\n",
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       "                \"Content-Length\": [\n",
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       "                ],\n",
       "                \"Content-Type\": [\n",
       "                    \"application/x-amz-json-1.0\"\n",
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       "            },\n",
       "            \"HttpHeaders\": {\n",
       "                \"Content-Length\": \"155\",\n",
       "                \"Content-Type\": \"application/x-amz-json-1.0\",\n",
       "                \"x-amzn-RequestId\": \"2b5ae6d7-78ba-451f-be9d-cc1b4e884817\"\n",
       "            },\n",
       "            \"HttpStatusCode\": 200\n",
       "        },\n",
       "        \"SdkResponseMetadata\": {\n",
       "            \"RequestId\": \"2b5ae6d7-78ba-451f-be9d-cc1b4e884817\"\n",
       "        },\n",
       "        \"StartDate\": 1609885693964\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>12</span>\n",
       "        </td>\n",
       "        <td>TaskSucceeded</td>\n",
       "        <td>DataSetImportWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>620.0</td>\n",
       "        <td>Jan 05, 2021 10:44:26.364 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"output\": {\n",
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       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\",\n",
       "            \"schemaArn\": \"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\"\n",
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       "        \"Output\": {\n",
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       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"dataset_import_job_arn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-import-job/stepfunction-dataset-import-job\",\n",
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       "                    ],\n",
       "                    \"Connection\": [\n",
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       "                    \"x-amzn-RequestId\": [\n",
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       "                    \"Content-Length\": [\n",
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       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
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       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"4ebd9e5a-4f44-483f-978b-c7bd05eacb25\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609885693964,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:DatasetImport-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609886664841\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>13</span>\n",
       "        </td>\n",
       "        <td>TaskStateExited</td>\n",
       "        <td>DataSetImportWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>620.0</td>\n",
       "        <td>Jan 05, 2021 10:44:26.364 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"name\": \"DataSetImportWorkflow\",\n",
       "    \"output\": {\n",
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       "        \"Input\": {\n",
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       "            \"schemaArn\": \"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\"\n",
       "        },\n",
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       "            \"Included\": true\n",
       "        },\n",
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       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"dataset_import_job_arn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-import-job/stepfunction-dataset-import-job\",\n",
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       "                    ],\n",
       "                    \"Connection\": [\n",
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       "                    \"x-amzn-RequestId\": [\n",
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       "                    \"Content-Length\": [\n",
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       "                    \"X-Amzn-Trace-Id\": [\n",
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       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
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       "                    \"Content-Type\": \"application/json\",\n",
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       "                    \"X-Amz-Executed-Version\": \"$LATEST\",\n",
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       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4ebc8-7643934c513081361af6bba8;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"4ebd9e5a-4f44-483f-978b-c7bd05eacb25\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609885693964,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:DatasetImport-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609886664841\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>14</span>\n",
       "        </td>\n",
       "        <td>TaskStateEntered</td>\n",
       "        <td>ReceipeSolutionWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>637.0</td>\n",
       "        <td>Jan 05, 2021 10:44:26.381 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"name\": \"ReceipeSolutionWorkflow\",\n",
       "    \"input\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:DatasetImport-workflow:31aa4b58-7359-4e8d-b038-44f77c0ba1ed\",\n",
       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\",\n",
       "            \"schemaArn\": \"arn:aws:personalize:us-east-1:261602857181:schema/personalize-stepfunction-schema3484\"\n",
       "        },\n",
       "        \"InputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
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       "        \"Output\": {\n",
       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"dataset_import_job_arn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-import-job/stepfunction-dataset-import-job\",\n",
       "                \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\"\n",
       "            },\n",
       "            \"SdkHttpMetadata\": {\n",
       "                \"AllHttpHeaders\": {\n",
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       "                    \"x-amzn-Remapped-Content-Length\": [\n",
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       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
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       "                        \"Tue, 05 Jan 2021 22:44:24 GMT\"\n",
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       "                    \"X-Amzn-Trace-Id\": [\n",
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       "                \"HttpHeaders\": {\n",
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       "                },\n",
       "                \"HttpStatusCode\": 200\n",
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       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
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       "        \"StartDate\": 1609885693964,\n",
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       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609886664841\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>15</span>\n",
       "        </td>\n",
       "        <td>TaskScheduled</td>\n",
       "        <td>ReceipeSolutionWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>637.0</td>\n",
       "        <td>Jan 05, 2021 10:44:26.381 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"region\": \"us-east-1\",\n",
       "    \"parameters\": {\n",
       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\"\n",
       "        },\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Create_receipe_sol-workflow\"\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>16</span>\n",
       "        </td>\n",
       "        <td>TaskStarted</td>\n",
       "        <td>ReceipeSolutionWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>696.0</td>\n",
       "        <td>Jan 05, 2021 10:44:26.440 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\"\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>17</span>\n",
       "        </td>\n",
       "        <td>TaskSubmitted</td>\n",
       "        <td>ReceipeSolutionWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>822.0</td>\n",
       "        <td>Jan 05, 2021 10:44:26.566 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"output\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Create_receipe_sol-workflow:0b411a66-f56a-4a1b-a4f7-3de0cbf3dc15\",\n",
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       "            \"AllHttpHeaders\": {\n",
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       "                ],\n",
       "                \"Content-Length\": [\n",
       "                    \"160\"\n",
       "                ],\n",
       "                \"Content-Type\": [\n",
       "                    \"application/x-amz-json-1.0\"\n",
       "                ]\n",
       "            },\n",
       "            \"HttpHeaders\": {\n",
       "                \"Content-Length\": \"160\",\n",
       "                \"Content-Type\": \"application/x-amz-json-1.0\",\n",
       "                \"x-amzn-RequestId\": \"89aad166-d1ad-4d2c-87db-d5ce8cce5682\"\n",
       "            },\n",
       "            \"HttpStatusCode\": 200\n",
       "        },\n",
       "        \"SdkResponseMetadata\": {\n",
       "            \"RequestId\": \"89aad166-d1ad-4d2c-87db-d5ce8cce5682\"\n",
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       "        \"StartDate\": 1609886666506\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>18</span>\n",
       "        </td>\n",
       "        <td>TaskSucceeded</td>\n",
       "        <td>ReceipeSolutionWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>117.0</td>\n",
       "        <td>Jan 05, 2021 11:26:13.861 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"output\": {\n",
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       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\"\n",
       "        },\n",
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       "            \"Included\": true\n",
       "        },\n",
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       "        \"Output\": {\n",
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       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
       "            },\n",
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       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
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       "                    \"x-amzn-RequestId\": [\n",
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       "                    ],\n",
       "                    \"Content-Length\": [\n",
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       "                    ],\n",
       "                    \"Date\": [\n",
       "                        \"Tue, 05 Jan 2021 23:26:11 GMT\"\n",
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       "                    \"X-Amzn-Trace-Id\": [\n",
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       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
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       "                    \"x-amzn-Remapped-Content-Length\": \"0\",\n",
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       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4f593-3b270cb957b7bfb462f6d07f;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"1c715eee-f2f2-449f-adba-980e3d43b22e\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609886666506,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Create_receipe_sol-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609889171923\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>19</span>\n",
       "        </td>\n",
       "        <td>TaskStateExited</td>\n",
       "        <td>ReceipeSolutionWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>117.0</td>\n",
       "        <td>Jan 05, 2021 11:26:13.861 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"name\": \"ReceipeSolutionWorkflow\",\n",
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       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\"\n",
       "        },\n",
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       "        },\n",
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       "        \"Output\": {\n",
       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
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       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
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       "                    \"Content-Length\": [\n",
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       "                    ],\n",
       "                    \"Date\": [\n",
       "                        \"Tue, 05 Jan 2021 23:26:11 GMT\"\n",
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       "                    \"X-Amzn-Trace-Id\": [\n",
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       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
       "                    \"Content-Length\": \"130\",\n",
       "                    \"Content-Type\": \"application/json\",\n",
       "                    \"Date\": \"Tue, 05 Jan 2021 23:26:11 GMT\",\n",
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       "                    \"x-amzn-Remapped-Content-Length\": \"0\",\n",
       "                    \"x-amzn-RequestId\": \"1c715eee-f2f2-449f-adba-980e3d43b22e\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4f593-3b270cb957b7bfb462f6d07f;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"1c715eee-f2f2-449f-adba-980e3d43b22e\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609886666506,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Create_receipe_sol-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609889171923\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>20</span>\n",
       "        </td>\n",
       "        <td>TaskStateEntered</td>\n",
       "        <td>CampaignWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>124.0</td>\n",
       "        <td>Jan 05, 2021 11:26:13.868 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"name\": \"CampaignWorkflow\",\n",
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       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Create_receipe_sol-workflow:0b411a66-f56a-4a1b-a4f7-3de0cbf3dc15\",\n",
       "        \"Input\": {\n",
       "            \"datasetGroupArn\": \"arn:aws:personalize:us-east-1:261602857181:dataset-group/personalize-stepfunction-dataset-group\"\n",
       "        },\n",
       "        \"InputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"Name\": \"0b411a66-f56a-4a1b-a4f7-3de0cbf3dc15\",\n",
       "        \"Output\": {\n",
       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
       "            },\n",
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       "                        \"0\"\n",
       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
       "                    ],\n",
       "                    \"x-amzn-RequestId\": [\n",
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       "                    \"Content-Length\": [\n",
       "                        \"130\"\n",
       "                    ],\n",
       "                    \"Date\": [\n",
       "                        \"Tue, 05 Jan 2021 23:26:11 GMT\"\n",
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       "                    \"X-Amzn-Trace-Id\": [\n",
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       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
       "                    \"Content-Length\": \"130\",\n",
       "                    \"Content-Type\": \"application/json\",\n",
       "                    \"Date\": \"Tue, 05 Jan 2021 23:26:11 GMT\",\n",
       "                    \"X-Amz-Executed-Version\": \"$LATEST\",\n",
       "                    \"x-amzn-Remapped-Content-Length\": \"0\",\n",
       "                    \"x-amzn-RequestId\": \"1c715eee-f2f2-449f-adba-980e3d43b22e\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4f593-3b270cb957b7bfb462f6d07f;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"1c715eee-f2f2-449f-adba-980e3d43b22e\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609886666506,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Create_receipe_sol-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609889171923\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>21</span>\n",
       "        </td>\n",
       "        <td>TaskScheduled</td>\n",
       "        <td>CampaignWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>124.0</td>\n",
       "        <td>Jan 05, 2021 11:26:13.868 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"region\": \"us-east-1\",\n",
       "    \"parameters\": {\n",
       "        \"Input\": {\n",
       "            \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
       "        },\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Campaign-workflow\"\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>22</span>\n",
       "        </td>\n",
       "        <td>TaskStarted</td>\n",
       "        <td>CampaignWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>136.0</td>\n",
       "        <td>Jan 05, 2021 11:26:13.880 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\"\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>23</span>\n",
       "        </td>\n",
       "        <td>TaskSubmitted</td>\n",
       "        <td>CampaignWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>260.0</td>\n",
       "        <td>Jan 05, 2021 11:26:14.004 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"output\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Campaign-workflow:4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"SdkHttpMetadata\": {\n",
       "            \"AllHttpHeaders\": {\n",
       "                \"x-amzn-RequestId\": [\n",
       "                    \"1031db9d-b435-4f01-93ae-30561ad903fd\"\n",
       "                ],\n",
       "                \"Content-Length\": [\n",
       "                    \"150\"\n",
       "                ],\n",
       "                \"Content-Type\": [\n",
       "                    \"application/x-amz-json-1.0\"\n",
       "                ]\n",
       "            },\n",
       "            \"HttpHeaders\": {\n",
       "                \"Content-Length\": \"150\",\n",
       "                \"Content-Type\": \"application/x-amz-json-1.0\",\n",
       "                \"x-amzn-RequestId\": \"1031db9d-b435-4f01-93ae-30561ad903fd\"\n",
       "            },\n",
       "            \"HttpStatusCode\": 200\n",
       "        },\n",
       "        \"SdkResponseMetadata\": {\n",
       "            \"RequestId\": \"1031db9d-b435-4f01-93ae-30561ad903fd\"\n",
       "        },\n",
       "        \"StartDate\": 1609889173951\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>24</span>\n",
       "        </td>\n",
       "        <td>TaskSucceeded</td>\n",
       "        <td>CampaignWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">Step Functions execution</a></td>\n",
       "        <td>341.0</td>\n",
       "        <td>Jan 05, 2021 11:36:20.085 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"resourceType\": \"states\",\n",
       "    \"resource\": \"startExecution.sync:2\",\n",
       "    \"output\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Campaign-workflow:4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"Input\": {\n",
       "            \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
       "        },\n",
       "        \"InputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"Name\": \"4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"Output\": {\n",
       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"campaign_arn\": \"arn:aws:personalize:us-east-1:261602857181:campaign/stepfunction-campaign\"\n",
       "            },\n",
       "            \"SdkHttpMetadata\": {\n",
       "                \"AllHttpHeaders\": {\n",
       "                    \"X-Amz-Executed-Version\": [\n",
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       "                    \"x-amzn-Remapped-Content-Length\": [\n",
       "                        \"0\"\n",
       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
       "                    ],\n",
       "                    \"x-amzn-RequestId\": [\n",
       "                        \"bdc39ad0-171d-4866-9166-4324e335a52e\"\n",
       "                    ],\n",
       "                    \"Content-Length\": [\n",
       "                        \"113\"\n",
       "                    ],\n",
       "                    \"Date\": [\n",
       "                        \"Tue, 05 Jan 2021 23:35:48 GMT\"\n",
       "                    ],\n",
       "                    \"X-Amzn-Trace-Id\": [\n",
       "                        \"root=1-5ff4f7d4-0d568a60206a710d689eeec8;sampled=0\"\n",
       "                    ],\n",
       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
       "                    \"Content-Length\": \"113\",\n",
       "                    \"Content-Type\": \"application/json\",\n",
       "                    \"Date\": \"Tue, 05 Jan 2021 23:35:48 GMT\",\n",
       "                    \"X-Amz-Executed-Version\": \"$LATEST\",\n",
       "                    \"x-amzn-Remapped-Content-Length\": \"0\",\n",
       "                    \"x-amzn-RequestId\": \"bdc39ad0-171d-4866-9166-4324e335a52e\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4f7d4-0d568a60206a710d689eeec8;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"bdc39ad0-171d-4866-9166-4324e335a52e\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609889173951,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Campaign-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609889778805\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>25</span>\n",
       "        </td>\n",
       "        <td>TaskStateExited</td>\n",
       "        <td>CampaignWorkflow</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>341.0</td>\n",
       "        <td>Jan 05, 2021 11:36:20.085 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"name\": \"CampaignWorkflow\",\n",
       "    \"output\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Campaign-workflow:4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"Input\": {\n",
       "            \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
       "        },\n",
       "        \"InputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"Name\": \"4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"Output\": {\n",
       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"campaign_arn\": \"arn:aws:personalize:us-east-1:261602857181:campaign/stepfunction-campaign\"\n",
       "            },\n",
       "            \"SdkHttpMetadata\": {\n",
       "                \"AllHttpHeaders\": {\n",
       "                    \"X-Amz-Executed-Version\": [\n",
       "                        \"$LATEST\"\n",
       "                    ],\n",
       "                    \"x-amzn-Remapped-Content-Length\": [\n",
       "                        \"0\"\n",
       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
       "                    ],\n",
       "                    \"x-amzn-RequestId\": [\n",
       "                        \"bdc39ad0-171d-4866-9166-4324e335a52e\"\n",
       "                    ],\n",
       "                    \"Content-Length\": [\n",
       "                        \"113\"\n",
       "                    ],\n",
       "                    \"Date\": [\n",
       "                        \"Tue, 05 Jan 2021 23:35:48 GMT\"\n",
       "                    ],\n",
       "                    \"X-Amzn-Trace-Id\": [\n",
       "                        \"root=1-5ff4f7d4-0d568a60206a710d689eeec8;sampled=0\"\n",
       "                    ],\n",
       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
       "                    \"Content-Length\": \"113\",\n",
       "                    \"Content-Type\": \"application/json\",\n",
       "                    \"Date\": \"Tue, 05 Jan 2021 23:35:48 GMT\",\n",
       "                    \"X-Amz-Executed-Version\": \"$LATEST\",\n",
       "                    \"x-amzn-Remapped-Content-Length\": \"0\",\n",
       "                    \"x-amzn-RequestId\": \"bdc39ad0-171d-4866-9166-4324e335a52e\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4f7d4-0d568a60206a710d689eeec8;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"bdc39ad0-171d-4866-9166-4324e335a52e\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609889173951,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Campaign-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609889778805\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>26</span>\n",
       "        </td>\n",
       "        <td>ExecutionSucceeded</td>\n",
       "        <td></td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>341.0</td>\n",
       "        <td>Jan 05, 2021 11:36:20.085 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
       "    \"output\": {\n",
       "        \"ExecutionArn\": \"arn:aws:states:us-east-1:261602857181:execution:Campaign-workflow:4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"Input\": {\n",
       "            \"solution_version_arn\": \"arn:aws:personalize:us-east-1:261602857181:solution/stepfunction-solution/645628f1\"\n",
       "        },\n",
       "        \"InputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"Name\": \"4460dc18-54f6-4194-9d18-d95e97307f5e\",\n",
       "        \"Output\": {\n",
       "            \"ExecutedVersion\": \"$LATEST\",\n",
       "            \"Payload\": {\n",
       "                \"status\": \"ACTIVE\",\n",
       "                \"campaign_arn\": \"arn:aws:personalize:us-east-1:261602857181:campaign/stepfunction-campaign\"\n",
       "            },\n",
       "            \"SdkHttpMetadata\": {\n",
       "                \"AllHttpHeaders\": {\n",
       "                    \"X-Amz-Executed-Version\": [\n",
       "                        \"$LATEST\"\n",
       "                    ],\n",
       "                    \"x-amzn-Remapped-Content-Length\": [\n",
       "                        \"0\"\n",
       "                    ],\n",
       "                    \"Connection\": [\n",
       "                        \"keep-alive\"\n",
       "                    ],\n",
       "                    \"x-amzn-RequestId\": [\n",
       "                        \"bdc39ad0-171d-4866-9166-4324e335a52e\"\n",
       "                    ],\n",
       "                    \"Content-Length\": [\n",
       "                        \"113\"\n",
       "                    ],\n",
       "                    \"Date\": [\n",
       "                        \"Tue, 05 Jan 2021 23:35:48 GMT\"\n",
       "                    ],\n",
       "                    \"X-Amzn-Trace-Id\": [\n",
       "                        \"root=1-5ff4f7d4-0d568a60206a710d689eeec8;sampled=0\"\n",
       "                    ],\n",
       "                    \"Content-Type\": [\n",
       "                        \"application/json\"\n",
       "                    ]\n",
       "                },\n",
       "                \"HttpHeaders\": {\n",
       "                    \"Connection\": \"keep-alive\",\n",
       "                    \"Content-Length\": \"113\",\n",
       "                    \"Content-Type\": \"application/json\",\n",
       "                    \"Date\": \"Tue, 05 Jan 2021 23:35:48 GMT\",\n",
       "                    \"X-Amz-Executed-Version\": \"$LATEST\",\n",
       "                    \"x-amzn-Remapped-Content-Length\": \"0\",\n",
       "                    \"x-amzn-RequestId\": \"bdc39ad0-171d-4866-9166-4324e335a52e\",\n",
       "                    \"X-Amzn-Trace-Id\": \"root=1-5ff4f7d4-0d568a60206a710d689eeec8;sampled=0\"\n",
       "                },\n",
       "                \"HttpStatusCode\": 200\n",
       "            },\n",
       "            \"SdkResponseMetadata\": {\n",
       "                \"RequestId\": \"bdc39ad0-171d-4866-9166-4324e335a52e\"\n",
       "            },\n",
       "            \"StatusCode\": 200\n",
       "        },\n",
       "        \"OutputDetails\": {\n",
       "            \"Included\": true\n",
       "        },\n",
       "        \"StartDate\": 1609889173951,\n",
       "        \"StateMachineArn\": \"arn:aws:states:us-east-1:261602857181:stateMachine:Campaign-workflow\",\n",
       "        \"Status\": \"SUCCEEDED\",\n",
       "        \"StopDate\": 1609889778805\n",
       "    }\n",
       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "        </tbody>\n",
       "    </table>\n",
       "    <script type=\"text/javascript\">\n",
       "        \n",
       "    var clickableCells = document.getElementsByClassName(\"clickable-cell\");\n",
       "    for (var cell of clickableCells) {\n",
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 963,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Main_workflow_execution.list_events(html=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate-Recommendations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now that we have a successful campaign, let's generate recommendations for the campaign"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Select a User and an Item"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 964,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user_id 402\n",
      "items       ITEM_ID                                      TITLE\n",
      "0           2                           GoldenEye (1995)\n",
      "1           3                          Four Rooms (1995)\n",
      "...       ...                                        ...\n",
      "1679     1681                        You So Crazy (1994)\n",
      "1680     1682  Scream of Stone (Schrei aus Stein) (1991)\n",
      "\n",
      "[1681 rows x 2 columns]\n",
      "USER: 402\n",
      "ITEM: Aladdin (1992)\n",
      "ITEM ID: 95\n"
     ]
    }
   ],
   "source": [
    "items = pd.read_csv('./ml-100k/u.item', sep='|', usecols=[0,1], encoding='latin-1')\n",
    "items.columns = ['ITEM_ID', 'TITLE']\n",
    "\n",
    "\n",
    "user_id, item_id, rating, timestamp = data.sample().values[0]\n",
    "\n",
    "user_id = int(user_id)\n",
    "item_id = int(item_id)\n",
    "\n",
    "print(\"user_id\",user_id)\n",
    "print(\"items\",items)\n",
    "\n",
    "\n",
    "item_title = items.loc[items['ITEM_ID'] == item_id].values[0][-1]\n",
    "print(\"USER: {}\".format(user_id))\n",
    "print(\"ITEM: {}\".format(item_title))\n",
    "print(\"ITEM ID: {}\".format(item_id))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 965,
   "metadata": {},
   "outputs": [],
   "source": [
    "wait_recommendations = Wait(\n",
    "    state_id=\"Wait for recommendations - 10 secs\",\n",
    "    seconds=10\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lambda Task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 966,
   "metadata": {},
   "outputs": [],
   "source": [
    "lambda_state_get_recommendations = LambdaStep(\n",
    "    state_id=\"get recommendations\",\n",
    "    parameters={  \n",
    "        \"FunctionName\": \"stepfunction_getRecommendations\", \n",
    "        \"Payload\": {  \n",
    "           \"campaign_arn\": 'arn:aws:personalize:us-east-1:261602857181:campaign/stepfunction-campaign',            \n",
    "           \"user_id\": user_id,  \n",
    "           \"item_id\": item_id             \n",
    "        }\n",
    "    },\n",
    "    result_path = '$'\n",
    ")\n",
    "\n",
    "lambda_state_get_recommendations.add_retry(Retry(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    interval_seconds=5,\n",
    "    max_attempts=1,\n",
    "    backoff_rate=4.0\n",
    "))\n",
    "\n",
    "lambda_state_get_recommendations.add_catch(Catch(\n",
    "    error_equals=[\"States.TaskFailed\"],\n",
    "    next_step=Fail(\"GetRecommendationTaskFailed\")\n",
    "    #next_step=recommendation_path   \n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a Succeed State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 967,
   "metadata": {},
   "outputs": [],
   "source": [
    "workflow_complete = Succeed(\"WorkflowComplete\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 968,
   "metadata": {},
   "outputs": [],
   "source": [
    "recommendation_path = Chain([ \n",
    "lambda_state_get_recommendations,\n",
    "wait_recommendations,\n",
    "workflow_complete\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define, Create, Render, and Execute Recommendation Workflow\n",
    "\n",
    "In the next cells, we will create a workflow in AWS Step Functions with [create](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Workflow.create) and execute it with [execute](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Workflow.execute)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 969,
   "metadata": {},
   "outputs": [],
   "source": [
    "recommendation_workflow = Workflow(\n",
    "    name=\"Recommendation_Workflow4\",\n",
    "    definition=recommendation_path,\n",
    "    role=workflow_execution_role\n",
    ")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 970,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-750\" class=\"workflowgraph\">\n",
       "    \n",
       "    <svg></svg>\n",
       "    \n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
       "});\n",
       "\n",
       "require(['sfn'], function(sfn) {\n",
       "    var element = document.getElementById('graph-750')\n",
       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 600,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
       "    };\n",
       "\n",
       "    var definition = {\"StartAt\": \"get recommendations\", \"States\": {\"get recommendations\": {\"Parameters\": {\"FunctionName\": \"stepfunction_getRecommendations\", \"Payload\": {\"campaign_arn\": \"arn:aws:personalize:us-east-1:261602857181:campaign/stepfunction-campaign\", \"user_id\": 402, \"item_id\": 95}}, \"ResultPath\": \"$\", \"Resource\": \"arn:aws:states:::lambda:invoke\", \"Type\": \"Task\", \"Next\": \"Wait for recommendations - 10 secs\", \"Retry\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"IntervalSeconds\": 5, \"MaxAttempts\": 1, \"BackoffRate\": 4.0}], \"Catch\": [{\"ErrorEquals\": [\"States.TaskFailed\"], \"Next\": \"GetRecommendationTaskFailed\"}]}, \"Wait for recommendations - 10 secs\": {\"Seconds\": 10, \"Type\": \"Wait\", \"Next\": \"WorkflowComplete\"}, \"WorkflowComplete\": {\"Type\": \"Succeed\"}, \"GetRecommendationTaskFailed\": {\"Type\": \"Fail\"}}};\n",
       "    var elementId = '#graph-750';\n",
       "\n",
       "    var graph = new sfn.StateMachineGraph(definition, elementId, options);\n",
       "    graph.render();\n",
       "});\n",
       "\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 970,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommendation_workflow.render_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 971,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow created successfully on AWS Step Functions.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'arn:aws:states:us-east-1:261602857181:stateMachine:Recommendation_Workflow4'"
      ]
     },
     "execution_count": 971,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommendation_workflow.create()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 972,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow execution started successfully on AWS Step Functions.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "recommendation_workflow_execution = recommendation_workflow.execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Review progress\n",
    "\n",
    "Review workflow progress with the [render_progress](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Execution.render_progress).\n",
    "\n",
    "Review execution history by calling [list_events](https://aws-step-functions-data-science-sdk.readthedocs.io/en/latest/workflow.html#stepfunctions.workflow.Execution.list_events) to list all events in the workflow execution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 975,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://do0of8uwbahzz.cloudfront.net/graph.css\">\n",
       "<div id=\"graph-178\" class=\"workflowgraph\">\n",
       "    \n",
       "    <style>\n",
       "        .graph-legend ul {\n",
       "            list-style-type: none;\n",
       "            padding: 10px;\n",
       "            padding-left: 0;\n",
       "            margin: 0;\n",
       "            position: absolute;\n",
       "            top: 0;\n",
       "            background: transparent;\n",
       "        }\n",
       "\n",
       "        .graph-legend li {\n",
       "            margin-left: 10px;\n",
       "            display: inline-block;\n",
       "        }\n",
       "\n",
       "        .graph-legend li > div {\n",
       "            width: 10px;\n",
       "            height: 10px;\n",
       "            display: inline-block;\n",
       "        }\n",
       "\n",
       "        .graph-legend .success { background-color: #2BD62E }\n",
       "        .graph-legend .failed { background-color: #DE322F }\n",
       "        .graph-legend .cancelled { background-color: #DDDDDD }\n",
       "        .graph-legend .in-progress { background-color: #53C9ED }\n",
       "        .graph-legend .caught-error { background-color: #FFA500 }\n",
       "    </style>\n",
       "    <div class=\"graph-legend\">\n",
       "        <ul>\n",
       "            <li>\n",
       "                <div class=\"success\"></div>\n",
       "                <span>Success</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"failed\"></div>\n",
       "                <span>Failed</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"cancelled\"></div>\n",
       "                <span>Cancelled</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"in-progress\"></div>\n",
       "                <span>In Progress</span>\n",
       "            </li>\n",
       "            <li>\n",
       "                <div class=\"caught-error\"></div>\n",
       "                <span>Caught Error</span>\n",
       "            </li>\n",
       "        </ul>\n",
       "    </div>\n",
       "\n",
       "    <svg></svg>\n",
       "    <a href=\"https://console.aws.amazon.com/states/home?region=us-east-1#/executions/details/arn:aws:states:us-east-1:261602857181:execution:Recommendation_Workflow4:3c5aa7d4-5f56-4989-98b4-7f7586fbdda5\" target=\"_blank\"> Inspect in AWS Step Functions </a>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "require.config({\n",
       "    paths: {\n",
       "        sfn: \"https://do0of8uwbahzz.cloudfront.net/sfn\",\n",
       "    }\n",
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       "\n",
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       "\n",
       "    var options = {\n",
       "        width: parseFloat(getComputedStyle(element, null).width.replace(\"px\", \"\")),\n",
       "        height: 1000,\n",
       "        layout: 'LR',\n",
       "        resizeHeight: true\n",
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       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>6</span>\n",
       "        </td>\n",
       "        <td>TaskStateExited</td>\n",
       "        <td>get recommendations</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>253.0</td>\n",
       "        <td>Jan 05, 2021 11:48:48.381 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
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       "                    \"score\": 0.0184811\n",
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       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>7</span>\n",
       "        </td>\n",
       "        <td>WaitStateEntered</td>\n",
       "        <td>Wait for recommendations - 10 secs</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>260.0</td>\n",
       "        <td>Jan 05, 2021 11:48:48.388 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "                    \"score\": 0.0184811\n",
       "                },\n",
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       "                    \"itemId\": \"432\",\n",
       "                    \"score\": 0.01776\n",
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       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>8</span>\n",
       "        </td>\n",
       "        <td>WaitStateExited</td>\n",
       "        <td>Wait for recommendations - 10 secs</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>260.0</td>\n",
       "        <td>Jan 05, 2021 11:48:58.388 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "            },\n",
       "            \"HttpStatusCode\": 200\n",
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       "        \"SdkResponseMetadata\": {\n",
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       "}</pre>\n",
       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>9</span>\n",
       "        </td>\n",
       "        <td>SucceedStateEntered</td>\n",
       "        <td>WorkflowComplete</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>265.0</td>\n",
       "        <td>Jan 05, 2021 11:48:58.393 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "                    \"itemId\": \"210\",\n",
       "                    \"score\": 0.0184811\n",
       "                },\n",
       "                {\n",
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       "                    \"score\": 0.01776\n",
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       "                    \"score\": 0.0170072\n",
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       "                {\n",
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       "        </td>\n",
       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>10</span>\n",
       "        </td>\n",
       "        <td>SucceedStateExited</td>\n",
       "        <td>WorkflowComplete</td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>265.0</td>\n",
       "        <td>Jan 05, 2021 11:48:58.393 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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       "    </tr>\n",
       "\n",
       "\n",
       "    <tr class=\"awsui-table-row\">\n",
       "        <td class=\"awsui-util-pl-xs clickable-cell\">\n",
       "            <div class=\"toggle-icon\"></div>\n",
       "            <span>11</span>\n",
       "        </td>\n",
       "        <td>ExecutionSucceeded</td>\n",
       "        <td></td>\n",
       "        <td><a class='disabled' target=\"_blank\">-</a></td>\n",
       "        <td>265.0</td>\n",
       "        <td>Jan 05, 2021 11:48:58.393 PM</td>\n",
       "    </tr>\n",
       "    <tr class=\"hide\">\n",
       "        <td class=\"execution-event-detail\" colspan=\"6\">\n",
       "            <pre>{\n",
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     "execution_count": 976,
     "metadata": {},
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   ],
   "source": [
    "recommendation_workflow_execution.list_events(html=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 977,
   "metadata": {},
   "outputs": [],
   "source": [
    "item_list = recommendation_workflow_execution.get_output()['Payload']['item_list']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get Recommendations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 978,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recommendations:\n",
      "Sound of Music, The (1965)\n",
      "Raiders of the Lost Ark (1981)\n",
      "Beauty and the Beast (1991)\n",
      "Snow White and the Seven Dwarfs (1937)\n",
      "Indiana Jones and the Last Crusade (1989)\n",
      "Fantasia (1940)\n",
      "Princess Bride, The (1987)\n",
      "Empire Strikes Back, The (1980)\n",
      "Terminator, The (1984)\n",
      "One Flew Over the Cuckoo's Nest (1975)\n",
      "Casablanca (1942)\n",
      "Dead Poets Society (1989)\n",
      "Fugitive, The (1993)\n",
      "Graduate, The (1967)\n",
      "M*A*S*H (1970)\n",
      "Monty Python and the Holy Grail (1974)\n",
      "Lion King, The (1994)\n",
      "Apollo 13 (1995)\n",
      "When Harry Met Sally... (1989)\n",
      "My Fair Lady (1964)\n",
      "Patton (1970)\n",
      "Winnie the Pooh and the Blustery Day (1968)\n",
      "Vertigo (1958)\n",
      "Aladdin (1992)\n",
      "Schindler's List (1993)\n"
     ]
    }
   ],
   "source": [
    "item_list = recommendation_workflow_execution.get_output()['Payload']['item_list']\n",
    "\n",
    "print(\"Recommendations:\")\n",
    "for item in item_list:\n",
    "    np.int(item['itemId'])\n",
    "    item_title = items.loc[items['ITEM_ID'] == np.int(item['itemId'])].values[0][-1]\n",
    "    print(item_title)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean up Amazon Personalize resources"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure to clean up the Amazon Personalize and the state machines created blog. Login to Amazon Personalize console and delete resources such as Dataset Groups, Dataset, Solutions, Receipts, and Campaign. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean up State Machine resources"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 979,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[INFO] Workflow has been marked for deletion. If the workflow has running executions, it will be deleted when all executions are stopped.\u001b[0m\n",
      "\u001b[32m[INFO] Workflow has been marked for deletion. If the workflow has running executions, it will be deleted when all executions are stopped.\u001b[0m\n",
      "\u001b[32m[INFO] Workflow has been marked for deletion. If the workflow has running executions, it will be deleted when all executions are stopped.\u001b[0m\n",
      "\u001b[32m[INFO] Workflow has been marked for deletion. If the workflow has running executions, it will be deleted when all executions are stopped.\u001b[0m\n",
      "\u001b[32m[INFO] Workflow has been marked for deletion. If the workflow has running executions, it will be deleted when all executions are stopped.\u001b[0m\n",
      "\u001b[32m[INFO] Workflow has been marked for deletion. If the workflow has running executions, it will be deleted when all executions are stopped.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "Campaign_workflow.delete()\n",
    "\n",
    "recommendation_workflow.delete()\n",
    "\n",
    "Main_workflow.delete()\n",
    "\n",
    "Create_receipe_sol_workflow.delete()\n",
    "\n",
    "DatasetImport_workflow.delete()\n",
    "\n",
    "Dataset_workflow.delete()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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