{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set up Preview SDK"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Configures your AWS CLI to now understand our up and coming service Amazon Forecast\n",
"!aws configure add-model --service-model file://../sdk/forecastquery-2018-06-26.normal.json --service-name forecastquery\n",
"!aws configure add-model --service-model file://../sdk/forecast-2018-06-26.normal.json --service-name forecast"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: boto3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (1.9.69)\n",
"Requirement already satisfied: botocore<1.13.0,>=1.12.69 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from boto3) (1.12.69)\n",
"Requirement already satisfied: s3transfer<0.2.0,>=0.1.10 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from boto3) (0.1.13)\n",
"Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from boto3) (0.9.3)\n",
"Requirement already satisfied: docutils>=0.10 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from botocore<1.13.0,>=1.12.69->boto3) (0.14)\n",
"Requirement already satisfied: python-dateutil<3.0.0,>=2.1; python_version >= \"2.7\" in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from botocore<1.13.0,>=1.12.69->boto3) (2.7.3)\n",
"Requirement already satisfied: urllib3<1.25,>=1.20; python_version >= \"3.4\" in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from botocore<1.13.0,>=1.12.69->boto3) (1.22)\n",
"Requirement already satisfied: six>=1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from python-dateutil<3.0.0,>=2.1; python_version >= \"2.7\"->botocore<1.13.0,>=1.12.69->boto3) (1.11.0)\n",
"\u001b[33mYou are using pip version 10.0.1, however version 18.1 is available.\n",
"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n",
"Requirement already satisfied: pandas in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (0.22.0)\n",
"Requirement already satisfied: pytz>=2011k in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pandas) (2018.4)\n",
"Requirement already satisfied: python-dateutil>=2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pandas) (2.7.3)\n",
"Requirement already satisfied: numpy>=1.9.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pandas) (1.14.5)\n",
"Requirement already satisfied: six>=1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from python-dateutil>=2->pandas) (1.11.0)\n",
"\u001b[33mYou are using pip version 10.0.1, however version 18.1 is available.\n",
"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
]
}
],
"source": [
"# Prerequisites : 1 time install only, remove the comments to execute the lines.\n",
"!pip install boto3\n",
"!pip install pandas"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import boto3\n",
"from time import sleep\n",
"import subprocess"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"session = boto3.Session(region_name='us-west-2') #us-east-1 is also supported\n",
"\n",
"forecast = session.client(service_name='forecast')\n",
"forecastquery = session.client(service_name='forecastquery')\n",
"s3 = session.client('s3')\n",
"accountId = boto3.client('sts').get_caller_identity().get('Account')\n",
"\n",
"bucketName = 'orch-sme-hackathon-012019'\n",
"key=\"gravyforce/amzunlimited/amz_u_data_all_pre_2019_01_08.csv\"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'orch-sme-hackathon-012019'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bucketName"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'gravyforce/amzunlimited/amz_u_data_all_pre_2019_01_08.csv'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"key"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# One time setup only, uncomment the following command to create the role to provide to Amazon Forecast. \n",
"# Save the generated role for all future calls to use for importing or exporting data. \n",
"\n",
"cmd = 'python ../setup_forecast_permissions.py '+bucketName\n",
"p = subprocess.Popen(cmd.split(' '), stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
"roleArn = 'arn:aws:iam::%s:role/amazonforecast'%accountId"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### CreateDataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"More details about `Domain` and dataset type can be found on the [documentation](https://docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html) . For this example, we are using [CUSTOM](https://docs.aws.amazon.com/forecast/latest/dg/custom-domain.html) domain with 3 required attributes `timestamp`, `target_value` and `item_id`. Also for your project name, update it to reflect your name in a lowercase format."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"DATASET_FREQUENCY = \"1D\" \n",
"TIMESTAMP_FORMAT = \"yyyy-MM-dd\"\n",
"project = 'amz_u_streams_all' # Replace this with a unique name here, make sure the entire name is < 30 characters.\n",
"datasetName= project+'_ds'\n",
"datasetGroupName= project +'_gp'\n",
"s3DataPath = \"s3://\"+bucketName+\"/\"+key"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'amz_u_streams_all_ds'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"datasetName"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'s3://orch-sme-hackathon-012019/gravyforce/amzunlimited/amz_u_data_all_pre_2019_01_08.csv'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s3DataPath"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Specify the schema of your dataset here. Make sure the order of columns matches the raw data files.\n",
"schema ={\n",
" \"Attributes\":[\n",
" {\n",
" \"AttributeName\":\"timestamp\",\n",
" \"AttributeType\":\"timestamp\"\n",
" },\n",
" {\n",
" \"AttributeName\":\"item_id\",\n",
" \"AttributeType\":\"string\"\n",
" },\n",
" {\n",
" \"AttributeName\":\"target_value\",\n",
" \"AttributeType\":\"float\"\n",
" }\n",
" ]\n",
"}\n",
"\n",
"response=forecast.create_dataset(\n",
" Domain=\"CUSTOM\",\n",
" DatasetType='TARGET_TIME_SERIES',\n",
" DataFormat='CSV',\n",
" DatasetName=datasetName,\n",
" DataFrequency=DATASET_FREQUENCY, \n",
" TimeStampFormat=TIMESTAMP_FORMAT,\n",
" Schema = schema\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'DatasetName': 'amz_u_streams_all_ds',\n",
" 'DatasetType': 'TARGET_TIME_SERIES',\n",
" 'DataFormat': 'CSV',\n",
" 'Domain': 'CUSTOM',\n",
" 'ScheduleExpression': 'none',\n",
" 'DatasetArn': 'arn:aws:forecast:us-west-2:073138737237:ds/amz_u_streams_all_ds',\n",
" 'Status': 'ACTIVE',\n",
" 'ResponseMetadata': {'RequestId': 'ea6792b7-5be5-4b42-b3c7-d5d51a620787',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:26:59 GMT',\n",
" 'x-amzn-requestid': 'ea6792b7-5be5-4b42-b3c7-d5d51a620787',\n",
" 'content-length': '235',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.describe_dataset(DatasetName=datasetName)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'DatasetGroupName': 'amz_u_streams_all_gp',\n",
" 'DatasetGroupArn': 'arn:aws:forecast:us-west-2:073138737237:dsgroup/amz_u_streams_all_gp',\n",
" 'ResponseMetadata': {'RequestId': '5c8d2329-a1ee-4f84-a5bd-eebc8600b245',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:27:02 GMT',\n",
" 'x-amzn-requestid': '5c8d2329-a1ee-4f84-a5bd-eebc8600b245',\n",
" 'content-length': '132',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.create_dataset_group(DatasetGroupName=datasetGroupName,RoleArn=roleArn,DatasetNames=[datasetName])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you have an existing datasetgroup, you can update it"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'DatasetGroupName': 'amz_u_streams_all_gp',\n",
" 'DatasetGroupArn': 'arn:aws:forecast:us-west-2:073138737237:dsgroup/amz_u_streams_all_gp',\n",
" 'Datasets': ['amz_u_streams_all_ds'],\n",
" 'RoleArn': 'arn:aws:iam::073138737237:role/amazonforecast',\n",
" 'ResponseMetadata': {'RequestId': '65f3da31-2582-411f-bd65-4d915b19781e',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:27:06 GMT',\n",
" 'x-amzn-requestid': '65f3da31-2582-411f-bd65-4d915b19781e',\n",
" 'content-length': '226',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.describe_dataset_group(DatasetGroupName=datasetGroupName)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create Data Import Job\n",
"Brings the data into Amazon Forecast system ready to forecast from raw data. "
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"85df5931\n"
]
}
],
"source": [
"ds_import_job_response=forecast.create_dataset_import_job(DatasetName=datasetName,Delimiter=',', DatasetGroupName =datasetGroupName ,S3Uri= s3DataPath)\n",
"ds_versionId=ds_import_job_response['VersionId']\n",
"print(ds_versionId)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"QUEUED\n",
"0\n",
"CREATING\n",
"1\n",
"CREATING\n",
"2\n",
"CREATING\n",
"3\n",
"CREATING\n",
"4\n",
"CREATING\n",
"5\n",
"CREATING\n",
"6\n",
"CREATING\n",
"7\n",
"CREATING\n",
"8\n",
"CREATING\n",
"9\n",
"CREATING\n",
"10\n",
"CREATING\n",
"11\n",
"CREATING\n",
"12\n",
"CREATING\n",
"13\n",
"CREATING\n",
"14\n",
"CREATING\n",
"15\n",
"CREATING\n",
"16\n",
"CREATING\n",
"17\n",
"CREATING\n",
"18\n",
"CREATING\n",
"19\n",
"CREATING\n",
"20\n",
"CREATING\n",
"21\n",
"CREATING\n",
"22\n",
"CREATING\n",
"23\n",
"CREATING\n",
"24\n",
"CREATING\n",
"25\n",
"CREATING\n",
"26\n",
"CREATING\n",
"27\n",
"CREATING\n",
"28\n",
"CREATING\n",
"29\n",
"CREATING\n",
"30\n",
"CREATING\n",
"31\n",
"CREATING\n",
"32\n",
"CREATING\n",
"33\n",
"CREATING\n",
"34\n",
"CREATING\n",
"35\n",
"CREATING\n",
"36\n",
"CREATING\n",
"37\n",
"CREATING\n",
"38\n",
"CREATING\n",
"39\n",
"CREATING\n",
"40\n",
"CREATING\n",
"41\n",
"CREATING\n",
"42\n",
"CREATING\n",
"43\n",
"CREATING\n",
"44\n",
"CREATING\n",
"45\n",
"CREATING\n",
"46\n",
"CREATING\n",
"47\n",
"CREATING\n",
"48\n",
"CREATING\n",
"49\n",
"CREATING\n",
"50\n",
"CREATING\n",
"51\n",
"CREATING\n",
"52\n",
"CREATING\n",
"53\n",
"CREATING\n",
"54\n",
"CREATING\n",
"55\n",
"CREATING\n",
"56\n",
"CREATING\n",
"57\n",
"CREATING\n",
"58\n",
"CREATING\n",
"59\n",
"CREATING\n",
"60\n",
"CREATING\n",
"61\n",
"CREATING\n",
"62\n",
"CREATING\n",
"63\n",
"CREATING\n",
"64\n",
"CREATING\n",
"65\n",
"CREATING\n",
"66\n",
"ACTIVE\n",
"67\n",
"total time 680\n"
]
}
],
"source": [
"i = 0\n",
"while True:\n",
" dataImportStatus = forecast.describe_dataset_import_job(DatasetName=datasetName,VersionId=ds_versionId)['Status']\n",
" print(dataImportStatus)\n",
" print(i)\n",
" i=i+1\n",
" if dataImportStatus != 'ACTIVE' and dataImportStatus != 'FAILED':\n",
" sleep(10)\n",
" else:\n",
" break\n",
"print('total time {}'.format(i*10))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'DatasetArn': 'arn:aws:forecast:us-west-2:073138737237:ds/amz_u_streams_all_ds',\n",
" 'DatasetName': 'amz_u_streams_all_ds',\n",
" 'VersionId': '85df5931',\n",
" 'Status': 'ACTIVE',\n",
" 'FieldStatistics': {'date': {'Count': 2639706,\n",
" 'CountDistinct': 454,\n",
" 'CountNull': 0,\n",
" 'Min': '2017-09-30T00:00:00Z',\n",
" 'Max': '2019-01-07T00:00:00Z'},\n",
" 'item': {'Count': 2639706, 'CountDistinct': 33935, 'CountNull': 0},\n",
" 'target': {'Count': 2639706,\n",
" 'CountDistinct': 18611,\n",
" 'CountNull': 0,\n",
" 'Min': '1.0',\n",
" 'Max': '567271.0',\n",
" 'Avg': 18470.742827042104,\n",
" 'Stddev': 9813.451034100292}},\n",
" 'ResponseMetadata': {'RequestId': '1ce7a920-9cab-4973-bd2e-125c5903f08a',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:45:24 GMT',\n",
" 'x-amzn-requestid': '1ce7a920-9cab-4973-bd2e-125c5903f08a',\n",
" 'content-length': '500',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.describe_dataset_import_job(DatasetName=datasetName,VersionId=ds_versionId)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Recipe"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'RecipeNames': ['forecast_ARIMA',\n",
" 'forecast_DEEP_AR',\n",
" 'forecast_DEEP_AR_PLUS',\n",
" 'forecast_ETS',\n",
" 'forecast_MDN',\n",
" 'forecast_MQRNN',\n",
" 'forecast_NPTS',\n",
" 'forecast_PROPHET',\n",
" 'forecast_SQF'],\n",
" 'ResponseMetadata': {'RequestId': '39f1c0ae-a9f8-4429-8421-797fa58013d6',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:45:29 GMT',\n",
" 'x-amzn-requestid': '39f1c0ae-a9f8-4429-8421-797fa58013d6',\n",
" 'content-length': '174',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recipesResponse=forecast.list_recipes()\n",
"recipesResponse"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Get details about each recipe."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'Recipe': {'Name': 'forecast_MQRNN',\n",
" 'Train': [{'TrainingInfo': {'TrainedModelName': 'algorithm_MQRNN',\n",
" 'AlgorithmName': 'MQRNN',\n",
" 'TrainingParameters': {'epochs': '60',\n",
" 'learning_rate': '3E-3',\n",
" 'mini_batch_size': '32',\n",
" 'quantiles': '[0.1,0.5,0.9]'}},\n",
" 'BackTestWindowCount': 1,\n",
" 'MetricsBuckets': []}]},\n",
" 'ResponseMetadata': {'RequestId': 'e14c7d9e-a336-4eee-b1a0-e4a1947b89b9',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:45:33 GMT',\n",
" 'x-amzn-requestid': 'e14c7d9e-a336-4eee-b1a0-e4a1947b89b9',\n",
" 'content-length': '281',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.describe_recipe(RecipeName='forecast_MQRNN')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create Solution with customer forecast horizon"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Forecast horizon is how long in future the forecast should be predicting. For weekly data, a value of 12 means 1 weeks. Our example is hourly data, we try forecast the next day, so we can set to 24."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"predictorName= project+'_mqrnn'"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"forecastHorizon = 2"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"createPredictorResponse=forecast.create_predictor(RecipeName='forecast_MQRNN',DatasetGroupName= datasetGroupName ,PredictorName=predictorName, \n",
" ForecastHorizon = forecastHorizon)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"predictorVerionId=createPredictorResponse['VersionId']"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'PredictorVersions': [{'PredictorName': 'amz_u_streams_all_mqrnn',\n",
" 'VersionId': '20125000'}],\n",
" 'ResponseMetadata': {'RequestId': '4035403e-fc63-4ebf-9483-9ff8b402cda4',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 07:45:57 GMT',\n",
" 'x-amzn-requestid': '4035403e-fc63-4ebf-9483-9ff8b402cda4',\n",
" 'content-length': '90',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.list_predictor_versions(PredictorName=predictorName)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Check the status of solutions, when the status change from **CREATING** to **ACTIVE**, we can continue to next steps. Depending on data size, model selection and hyper parameters，it can take 10 mins to more than one hour to be **ACTIVE**."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CREATING\n",
"0\n",
"CREATING\n",
"10\n",
"CREATING\n",
"20\n",
"CREATING\n",
"30\n",
"CREATING\n",
"40\n",
"CREATING\n",
"50\n",
"CREATING\n",
"60\n",
"CREATING\n",
"70\n",
"CREATING\n",
"80\n",
"CREATING\n",
"90\n",
"CREATING\n",
"100\n",
"CREATING\n",
"110\n",
"CREATING\n",
"120\n",
"CREATING\n",
"130\n",
"CREATING\n",
"140\n",
"CREATING\n",
"150\n",
"CREATING\n",
"160\n",
"CREATING\n",
"170\n",
"CREATING\n",
"180\n",
"CREATING\n",
"190\n",
"CREATING\n",
"200\n",
"CREATING\n",
"210\n",
"CREATING\n",
"220\n",
"CREATING\n",
"230\n",
"CREATING\n",
"240\n",
"CREATING\n",
"250\n",
"CREATING\n",
"260\n",
"CREATING\n",
"270\n",
"CREATING\n",
"280\n",
"CREATING\n",
"290\n",
"CREATING\n",
"300\n",
"CREATING\n",
"310\n",
"CREATING\n",
"320\n",
"CREATING\n",
"330\n",
"CREATING\n",
"340\n",
"CREATING\n",
"350\n",
"CREATING\n",
"360\n",
"CREATING\n",
"370\n",
"CREATING\n",
"380\n",
"CREATING\n",
"390\n",
"CREATING\n",
"400\n",
"CREATING\n",
"410\n",
"CREATING\n",
"420\n",
"CREATING\n",
"430\n",
"CREATING\n",
"440\n",
"CREATING\n",
"450\n",
"CREATING\n",
"460\n",
"CREATING\n",
"470\n",
"CREATING\n",
"480\n",
"CREATING\n",
"490\n",
"CREATING\n",
"500\n",
"CREATING\n",
"510\n",
"CREATING\n",
"520\n",
"CREATING\n",
"530\n",
"CREATING\n",
"540\n",
"CREATING\n",
"550\n",
"CREATING\n",
"560\n",
"CREATING\n",
"570\n",
"CREATING\n",
"580\n",
"CREATING\n",
"590\n",
"CREATING\n",
"600\n",
"CREATING\n",
"610\n",
"CREATING\n",
"620\n",
"CREATING\n",
"630\n",
"CREATING\n",
"640\n",
"CREATING\n",
"650\n",
"CREATING\n",
"660\n",
"CREATING\n",
"670\n",
"CREATING\n",
"680\n",
"CREATING\n",
"690\n",
"CREATING\n",
"700\n",
"CREATING\n",
"710\n",
"CREATING\n",
"720\n",
"CREATING\n",
"730\n",
"CREATING\n",
"740\n",
"CREATING\n",
"750\n",
"CREATING\n",
"760\n",
"CREATING\n",
"770\n",
"CREATING\n",
"780\n",
"CREATING\n",
"790\n",
"CREATING\n",
"800\n",
"CREATING\n",
"810\n",
"CREATING\n",
"820\n",
"CREATING\n",
"830\n",
"CREATING\n",
"840\n",
"CREATING\n",
"850\n",
"CREATING\n",
"860\n",
"CREATING\n",
"870\n",
"CREATING\n",
"880\n",
"CREATING\n",
"890\n",
"CREATING\n",
"900\n",
"CREATING\n",
"910\n",
"CREATING\n",
"920\n",
"CREATING\n",
"930\n",
"CREATING\n",
"940\n",
"CREATING\n",
"950\n",
"CREATING\n",
"960\n",
"CREATING\n",
"970\n",
"CREATING\n",
"980\n",
"CREATING\n",
"990\n",
"CREATING\n",
"1000\n",
"CREATING\n",
"1010\n",
"CREATING\n",
"1020\n",
"CREATING\n",
"1030\n",
"CREATING\n",
"1040\n",
"CREATING\n",
"1050\n",
"CREATING\n",
"1060\n",
"CREATING\n",
"1070\n",
"CREATING\n",
"1080\n",
"CREATING\n",
"1090\n",
"CREATING\n",
"1100\n",
"CREATING\n",
"1110\n",
"CREATING\n",
"1120\n",
"CREATING\n",
"1130\n",
"CREATING\n",
"1140\n",
"CREATING\n",
"1150\n",
"CREATING\n",
"1160\n",
"CREATING\n",
"1170\n",
"CREATING\n",
"1180\n",
"CREATING\n",
"1190\n",
"CREATING\n",
"1200\n",
"CREATING\n",
"1210\n",
"CREATING\n",
"1220\n",
"CREATING\n",
"1230\n",
"CREATING\n",
"1240\n",
"CREATING\n",
"1250\n",
"CREATING\n",
"1260\n",
"CREATING\n",
"1270\n",
"CREATING\n",
"1280\n",
"CREATING\n",
"1290\n",
"CREATING\n",
"1300\n",
"CREATING\n",
"1310\n",
"CREATING\n",
"1320\n",
"CREATING\n",
"1330\n",
"CREATING\n",
"1340\n",
"CREATING\n",
"1350\n",
"CREATING\n",
"1360\n",
"CREATING\n",
"1370\n",
"CREATING\n",
"1380\n",
"CREATING\n",
"1390\n",
"CREATING\n",
"1400\n",
"CREATING\n",
"1410\n",
"CREATING\n",
"1420\n",
"CREATING\n",
"1430\n",
"CREATING\n",
"1440\n",
"CREATING\n",
"1450\n",
"CREATING\n",
"1460\n",
"CREATING\n",
"1470\n",
"CREATING\n",
"1480\n",
"CREATING\n",
"1490\n",
"CREATING\n",
"1500\n",
"CREATING\n",
"1510\n",
"CREATING\n",
"1520\n",
"CREATING\n",
"1530\n",
"CREATING\n",
"1540\n",
"CREATING\n",
"1550\n",
"CREATING\n",
"1560\n",
"CREATING\n",
"1570\n",
"CREATING\n",
"1580\n",
"CREATING\n",
"1590\n",
"CREATING\n",
"1600\n",
"CREATING\n",
"1610\n",
"CREATING\n",
"1620\n",
"CREATING\n",
"1630\n",
"CREATING\n",
"1640\n",
"CREATING\n",
"1650\n",
"CREATING\n",
"1660\n",
"CREATING\n",
"1670\n",
"CREATING\n",
"1680\n",
"CREATING\n",
"1690\n",
"CREATING\n",
"1700\n",
"CREATING\n",
"1710\n",
"CREATING\n",
"1720\n",
"CREATING\n",
"1730\n",
"CREATING\n",
"1740\n",
"CREATING\n",
"1750\n",
"CREATING\n",
"1760\n",
"CREATING\n",
"1770\n",
"CREATING\n",
"1780\n",
"CREATING\n",
"1790\n",
"CREATING\n",
"1800\n",
"CREATING\n",
"1810\n",
"CREATING\n",
"1820\n",
"CREATING\n",
"1830\n",
"CREATING\n",
"1840\n",
"CREATING\n",
"1850\n",
"CREATING\n",
"1860\n",
"CREATING\n",
"1870\n",
"CREATING\n",
"1880\n",
"CREATING\n",
"1890\n",
"CREATING\n",
"1900\n",
"CREATING\n",
"1910\n",
"CREATING\n",
"1920\n",
"CREATING\n",
"1930\n",
"CREATING\n",
"1940\n",
"CREATING\n",
"1950\n",
"CREATING\n",
"1960\n",
"CREATING\n",
"1970\n",
"CREATING\n",
"1980\n",
"CREATING\n",
"1990\n",
"CREATING\n",
"2000\n",
"CREATING\n",
"2010\n",
"CREATING\n",
"2020\n",
"CREATING\n",
"2030\n",
"CREATING\n",
"2040\n",
"CREATING\n",
"2050\n",
"CREATING\n",
"2060\n",
"CREATING\n",
"2070\n",
"CREATING\n",
"2080\n",
"CREATING\n",
"2090\n",
"CREATING\n",
"2100\n",
"CREATING\n",
"2110\n",
"CREATING\n",
"2120\n",
"CREATING\n",
"2130\n",
"CREATING\n",
"2140\n",
"CREATING\n",
"2150\n",
"CREATING\n",
"2160\n",
"CREATING\n",
"2170\n",
"CREATING\n",
"2180\n",
"CREATING\n",
"2190\n",
"CREATING\n",
"2200\n",
"CREATING\n",
"2210\n",
"CREATING\n",
"2220\n",
"CREATING\n",
"2230\n",
"CREATING\n",
"2240\n",
"CREATING\n",
"2250\n",
"CREATING\n",
"2260\n",
"CREATING\n",
"2270\n",
"CREATING\n",
"2280\n",
"CREATING\n",
"2290\n",
"CREATING\n",
"2300\n",
"CREATING\n",
"2310\n",
"CREATING\n",
"2320\n",
"CREATING\n",
"2330\n",
"CREATING\n",
"2340\n",
"CREATING\n",
"2350\n",
"CREATING\n",
"2360\n",
"CREATING\n",
"2370\n",
"CREATING\n",
"2380\n",
"CREATING\n",
"2390\n",
"CREATING\n",
"2400\n",
"CREATING\n",
"2410\n",
"CREATING\n",
"2420\n",
"CREATING\n",
"2430\n",
"CREATING\n",
"2440\n",
"CREATING\n",
"2450\n",
"CREATING\n",
"2460\n",
"CREATING\n",
"2470\n",
"CREATING\n",
"2480\n",
"CREATING\n",
"2490\n",
"CREATING\n",
"2500\n",
"CREATING\n",
"2510\n",
"CREATING\n",
"2520\n",
"CREATING\n",
"2530\n",
"CREATING\n",
"2540\n",
"CREATING\n",
"2550\n",
"CREATING\n",
"2560\n",
"CREATING\n",
"2570\n",
"CREATING\n",
"2580\n",
"CREATING\n",
"2590\n",
"CREATING\n",
"2600\n",
"CREATING\n",
"2610\n",
"CREATING\n",
"2620\n",
"CREATING\n",
"2630\n",
"CREATING\n",
"2640\n",
"CREATING\n",
"2650\n",
"CREATING\n",
"2660\n",
"CREATING\n",
"2670\n",
"CREATING\n",
"2680\n",
"CREATING\n",
"2690\n",
"CREATING\n",
"2700\n",
"CREATING\n",
"2710\n",
"CREATING\n",
"2720\n",
"CREATING\n",
"2730\n",
"CREATING\n",
"2740\n",
"CREATING\n",
"2750\n",
"CREATING\n",
"2760\n",
"CREATING\n",
"2770\n",
"CREATING\n",
"2780\n",
"CREATING\n",
"2790\n",
"CREATING\n",
"2800\n",
"CREATING\n",
"2810\n",
"CREATING\n",
"2820\n",
"CREATING\n",
"2830\n",
"CREATING\n",
"2840\n",
"CREATING\n",
"2850\n",
"CREATING\n",
"2860\n",
"CREATING\n",
"2870\n",
"CREATING\n",
"2880\n",
"CREATING\n",
"2890\n",
"CREATING\n",
"2900\n",
"CREATING\n",
"2910\n",
"CREATING\n",
"2920\n",
"CREATING\n",
"2930\n",
"CREATING\n",
"2940\n",
"CREATING\n",
"2950\n",
"CREATING\n",
"2960\n",
"CREATING\n",
"2970\n",
"CREATING\n",
"2980\n",
"CREATING\n",
"2990\n",
"CREATING\n",
"3000\n",
"CREATING\n",
"3010\n",
"CREATING\n",
"3020\n",
"CREATING\n",
"3030\n",
"CREATING\n",
"3040\n",
"CREATING\n",
"3050\n",
"CREATING\n",
"3060\n",
"CREATING\n",
"3070\n",
"CREATING\n",
"3080\n",
"CREATING\n",
"3090\n",
"CREATING\n",
"3100\n",
"CREATING\n",
"3110\n",
"CREATING\n",
"3120\n",
"CREATING\n",
"3130\n",
"CREATING\n",
"3140\n",
"CREATING\n",
"3150\n",
"CREATING\n",
"3160\n",
"CREATING\n",
"3170\n",
"CREATING\n",
"3180\n",
"CREATING\n",
"3190\n",
"CREATING\n",
"3200\n",
"CREATING\n",
"3210\n",
"CREATING\n",
"3220\n",
"CREATING\n",
"3230\n",
"CREATING\n",
"3240\n",
"CREATING\n",
"3250\n",
"CREATING\n",
"3260\n",
"CREATING\n",
"3270\n",
"CREATING\n",
"3280\n",
"CREATING\n",
"3290\n",
"CREATING\n",
"3300\n",
"CREATING\n",
"3310\n",
"CREATING\n",
"3320\n",
"CREATING\n",
"3330\n",
"CREATING\n",
"3340\n",
"CREATING\n",
"3350\n",
"CREATING\n",
"3360\n",
"CREATING\n",
"3370\n",
"CREATING\n",
"3380\n",
"CREATING\n",
"3390\n",
"CREATING\n",
"3400\n",
"CREATING\n",
"3410\n",
"CREATING\n",
"3420\n",
"CREATING\n",
"3430\n",
"CREATING\n",
"3440\n",
"CREATING\n",
"3450\n",
"CREATING\n",
"3460\n",
"CREATING\n",
"3470\n",
"CREATING\n",
"3480\n",
"CREATING\n",
"3490\n",
"CREATING\n",
"3500\n",
"CREATING\n",
"3510\n",
"CREATING\n",
"3520\n",
"CREATING\n",
"3530\n",
"CREATING\n",
"3540\n",
"CREATING\n",
"3550\n",
"CREATING\n",
"3560\n",
"CREATING\n",
"3570\n",
"CREATING\n",
"3580\n",
"CREATING\n",
"3590\n",
"CREATING\n",
"3600\n",
"CREATING\n",
"3610\n",
"CREATING\n",
"3620\n",
"CREATING\n",
"3630\n",
"CREATING\n",
"3640\n",
"CREATING\n",
"3650\n",
"CREATING\n",
"3660\n",
"CREATING\n",
"3670\n",
"CREATING\n",
"3680\n",
"CREATING\n",
"3690\n",
"CREATING\n",
"3700\n",
"CREATING\n",
"3710\n",
"CREATING\n",
"3720\n",
"CREATING\n",
"3730\n",
"CREATING\n",
"3740\n",
"CREATING\n",
"3750\n",
"CREATING\n",
"3760\n",
"CREATING\n",
"3770\n",
"CREATING\n",
"3780\n",
"CREATING\n",
"3790\n",
"CREATING\n",
"3800\n",
"CREATING\n",
"3810\n",
"CREATING\n",
"3820\n",
"CREATING\n",
"3830\n",
"CREATING\n",
"3840\n",
"CREATING\n",
"3850\n",
"CREATING\n",
"3860\n",
"CREATING\n",
"3870\n",
"CREATING\n",
"3880\n",
"CREATING\n",
"3890\n",
"CREATING\n",
"3900\n",
"CREATING\n",
"3910\n",
"CREATING\n",
"3920\n",
"CREATING\n",
"3930\n",
"CREATING\n",
"3940\n",
"CREATING\n",
"3950\n",
"CREATING\n",
"3960\n",
"CREATING\n",
"3970\n",
"CREATING\n",
"3980\n",
"CREATING\n",
"3990\n",
"CREATING\n",
"4000\n",
"CREATING\n",
"4010\n",
"CREATING\n",
"4020\n",
"CREATING\n",
"4030\n",
"CREATING\n",
"4040\n",
"CREATING\n",
"4050\n",
"CREATING\n",
"4060\n",
"CREATING\n",
"4070\n",
"CREATING\n",
"4080\n",
"CREATING\n",
"4090\n",
"CREATING\n",
"4100\n",
"CREATING\n",
"4110\n",
"CREATING\n",
"4120\n",
"CREATING\n",
"4130\n",
"CREATING\n",
"4140\n",
"CREATING\n",
"4150\n",
"CREATING\n",
"4160\n",
"CREATING\n",
"4170\n",
"CREATING\n",
"4180\n",
"CREATING\n",
"4190\n",
"CREATING\n",
"4200\n",
"CREATING\n",
"4210\n",
"CREATING\n",
"4220\n",
"CREATING\n",
"4230\n",
"CREATING\n",
"4240\n",
"CREATING\n",
"4250\n",
"CREATING\n",
"4260\n",
"CREATING\n",
"4270\n",
"CREATING\n",
"4280\n",
"CREATING\n",
"4290\n",
"CREATING\n",
"4300\n",
"CREATING\n",
"4310\n",
"CREATING\n",
"4320\n",
"CREATING\n",
"4330\n",
"CREATING\n",
"4340\n",
"CREATING\n",
"4350\n",
"CREATING\n",
"4360\n",
"CREATING\n",
"4370\n",
"CREATING\n",
"4380\n",
"CREATING\n",
"4390\n",
"CREATING\n",
"4400\n",
"CREATING\n",
"4410\n",
"CREATING\n",
"4420\n",
"CREATING\n",
"4430\n",
"CREATING\n",
"4440\n",
"CREATING\n",
"4450\n",
"CREATING\n",
"4460\n",
"CREATING\n",
"4470\n",
"CREATING\n",
"4480\n",
"CREATING\n",
"4490\n",
"CREATING\n",
"4500\n",
"CREATING\n",
"4510\n",
"CREATING\n",
"4520\n",
"CREATING\n",
"4530\n",
"CREATING\n",
"4540\n",
"CREATING\n",
"4550\n",
"CREATING\n",
"4560\n",
"CREATING\n",
"4570\n",
"CREATING\n",
"4580\n",
"CREATING\n",
"4590\n",
"CREATING\n",
"4600\n",
"CREATING\n",
"4610\n",
"CREATING\n",
"4620\n",
"CREATING\n",
"4630\n",
"CREATING\n",
"4640\n",
"CREATING\n",
"4650\n",
"CREATING\n",
"4660\n",
"CREATING\n",
"4670\n",
"CREATING\n",
"4680\n",
"CREATING\n",
"4690\n",
"CREATING\n",
"4700\n",
"CREATING\n",
"4710\n",
"CREATING\n",
"4720\n",
"CREATING\n",
"4730\n",
"CREATING\n",
"4740\n",
"CREATING\n",
"4750\n",
"CREATING\n",
"4760\n",
"CREATING\n",
"4770\n",
"CREATING\n",
"4780\n",
"CREATING\n",
"4790\n",
"CREATING\n",
"4800\n",
"CREATING\n",
"4810\n",
"CREATING\n",
"4820\n",
"CREATING\n",
"4830\n",
"CREATING\n",
"4840\n",
"CREATING\n",
"4850\n",
"CREATING\n",
"4860\n",
"CREATING\n",
"4870\n",
"CREATING\n",
"4880\n",
"CREATING\n",
"4890\n",
"CREATING\n",
"4900\n",
"CREATING\n",
"4910\n",
"CREATING\n",
"4920\n",
"CREATING\n",
"4930\n",
"CREATING\n",
"4940\n",
"CREATING\n",
"4950\n",
"CREATING\n",
"4960\n",
"CREATING\n",
"4970\n",
"CREATING\n",
"4980\n",
"CREATING\n",
"4990\n",
"CREATING\n",
"5000\n",
"CREATING\n",
"5010\n",
"CREATING\n",
"5020\n",
"CREATING\n",
"5030\n",
"CREATING\n",
"5040\n",
"CREATING\n",
"5050\n",
"CREATING\n",
"5060\n",
"CREATING\n",
"5070\n",
"CREATING\n",
"5080\n",
"CREATING\n",
"5090\n",
"CREATING\n",
"5100\n",
"CREATING\n",
"5110\n",
"CREATING\n",
"5120\n",
"CREATING\n",
"5130\n",
"CREATING\n",
"5140\n",
"CREATING\n",
"5150\n",
"CREATING\n",
"5160\n",
"CREATING\n",
"5170\n",
"CREATING\n",
"5180\n",
"CREATING\n",
"5190\n",
"CREATING\n",
"5200\n",
"CREATING\n",
"5210\n",
"CREATING\n",
"5220\n",
"CREATING\n",
"5230\n",
"CREATING\n",
"5240\n",
"CREATING\n",
"5250\n",
"CREATING\n",
"5260\n",
"CREATING\n",
"5270\n",
"CREATING\n",
"5280\n",
"CREATING\n",
"5290\n",
"CREATING\n",
"5300\n",
"CREATING\n",
"5310\n",
"CREATING\n",
"5320\n",
"CREATING\n",
"5330\n",
"CREATING\n",
"5340\n",
"CREATING\n",
"5350\n",
"CREATING\n",
"5360\n",
"CREATING\n",
"5370\n",
"CREATING\n",
"5380\n",
"CREATING\n",
"5390\n",
"CREATING\n",
"5400\n",
"CREATING\n",
"5410\n",
"CREATING\n",
"5420\n",
"CREATING\n",
"5430\n",
"CREATING\n",
"5440\n",
"CREATING\n",
"5450\n",
"CREATING\n",
"5460\n",
"CREATING\n",
"5470\n",
"CREATING\n",
"5480\n",
"CREATING\n",
"5490\n",
"CREATING\n",
"5500\n",
"CREATING\n",
"5510\n",
"CREATING\n",
"5520\n",
"CREATING\n",
"5530\n",
"CREATING\n",
"5540\n",
"CREATING\n",
"5550\n",
"CREATING\n",
"5560\n",
"CREATING\n",
"5570\n",
"CREATING\n",
"5580\n",
"CREATING\n",
"5590\n",
"CREATING\n",
"5600\n",
"CREATING\n",
"5610\n",
"CREATING\n",
"5620\n",
"CREATING\n",
"5630\n",
"CREATING\n",
"5640\n",
"CREATING\n",
"5650\n",
"CREATING\n",
"5660\n",
"CREATING\n",
"5670\n",
"CREATING\n",
"5680\n",
"CREATING\n",
"5690\n",
"CREATING\n",
"5700\n",
"CREATING\n",
"5710\n",
"CREATING\n",
"5720\n",
"CREATING\n",
"5730\n",
"CREATING\n",
"5740\n",
"CREATING\n",
"5750\n",
"CREATING\n",
"5760\n",
"CREATING\n",
"5770\n",
"CREATING\n",
"5780\n",
"CREATING\n",
"5790\n",
"CREATING\n",
"5800\n",
"CREATING\n",
"5810\n",
"CREATING\n",
"5820\n",
"CREATING\n",
"5830\n",
"CREATING\n",
"5840\n",
"CREATING\n",
"5850\n",
"CREATING\n",
"5860\n",
"CREATING\n",
"5870\n",
"CREATING\n",
"5880\n",
"CREATING\n",
"5890\n",
"CREATING\n",
"5900\n",
"CREATING\n",
"5910\n",
"CREATING\n",
"5920\n",
"CREATING\n",
"5930\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CREATING\n",
"5940\n",
"CREATING\n",
"5950\n",
"CREATING\n",
"5960\n",
"CREATING\n",
"5970\n",
"CREATING\n",
"5980\n",
"CREATING\n",
"5990\n",
"CREATING\n",
"6000\n",
"CREATING\n",
"6010\n",
"CREATING\n",
"6020\n",
"CREATING\n",
"6030\n",
"CREATING\n",
"6040\n",
"CREATING\n",
"6050\n",
"CREATING\n",
"6060\n",
"CREATING\n",
"6070\n",
"CREATING\n",
"6080\n",
"CREATING\n",
"6090\n",
"CREATING\n",
"6100\n",
"CREATING\n",
"6110\n",
"CREATING\n",
"6120\n",
"CREATING\n",
"6130\n",
"CREATING\n",
"6140\n",
"CREATING\n",
"6150\n",
"CREATING\n",
"6160\n",
"CREATING\n",
"6170\n",
"CREATING\n",
"6180\n",
"CREATING\n",
"6190\n",
"CREATING\n",
"6200\n",
"CREATING\n",
"6210\n",
"CREATING\n",
"6220\n",
"CREATING\n",
"6230\n",
"CREATING\n",
"6240\n",
"CREATING\n",
"6250\n",
"CREATING\n",
"6260\n",
"CREATING\n",
"6270\n",
"CREATING\n",
"6280\n",
"CREATING\n",
"6290\n",
"CREATING\n",
"6300\n",
"CREATING\n",
"6310\n",
"CREATING\n",
"6320\n",
"CREATING\n",
"6330\n",
"CREATING\n",
"6340\n",
"CREATING\n",
"6350\n",
"CREATING\n",
"6360\n",
"CREATING\n",
"6370\n",
"CREATING\n",
"6380\n",
"CREATING\n",
"6390\n",
"CREATING\n",
"6400\n",
"CREATING\n",
"6410\n",
"CREATING\n",
"6420\n",
"CREATING\n",
"6430\n",
"CREATING\n",
"6440\n",
"CREATING\n",
"6450\n",
"CREATING\n",
"6460\n",
"CREATING\n",
"6470\n",
"CREATING\n",
"6480\n",
"CREATING\n",
"6490\n",
"CREATING\n",
"6500\n",
"CREATING\n",
"6510\n",
"CREATING\n",
"6520\n",
"CREATING\n",
"6530\n",
"CREATING\n",
"6540\n",
"CREATING\n",
"6550\n",
"CREATING\n",
"6560\n",
"CREATING\n",
"6570\n",
"CREATING\n",
"6580\n",
"CREATING\n",
"6590\n",
"CREATING\n",
"6600\n",
"CREATING\n",
"6610\n",
"CREATING\n",
"6620\n",
"CREATING\n",
"6630\n",
"CREATING\n",
"6640\n",
"CREATING\n",
"6650\n",
"CREATING\n",
"6660\n",
"CREATING\n",
"6670\n",
"CREATING\n",
"6680\n",
"CREATING\n",
"6690\n",
"CREATING\n",
"6700\n",
"CREATING\n",
"6710\n",
"CREATING\n",
"6720\n",
"CREATING\n",
"6730\n",
"CREATING\n",
"6740\n",
"CREATING\n",
"6750\n",
"CREATING\n",
"6760\n",
"CREATING\n",
"6770\n",
"CREATING\n",
"6780\n",
"CREATING\n",
"6790\n",
"CREATING\n",
"6800\n",
"CREATING\n",
"6810\n",
"CREATING\n",
"6820\n",
"CREATING\n",
"6830\n",
"CREATING\n",
"6840\n",
"CREATING\n",
"6850\n",
"CREATING\n",
"6860\n",
"CREATING\n",
"6870\n",
"CREATING\n",
"6880\n",
"CREATING\n",
"6890\n",
"CREATING\n",
"6900\n",
"CREATING\n",
"6910\n",
"CREATING\n",
"6920\n",
"CREATING\n",
"6930\n",
"CREATING\n",
"6940\n",
"CREATING\n",
"6950\n",
"CREATING\n",
"6960\n",
"CREATING\n",
"6970\n",
"CREATING\n",
"6980\n",
"CREATING\n",
"6990\n",
"CREATING\n",
"7000\n",
"CREATING\n",
"7010\n",
"CREATING\n",
"7020\n",
"CREATING\n",
"7030\n",
"CREATING\n",
"7040\n",
"CREATING\n",
"7050\n",
"CREATING\n",
"7060\n",
"CREATING\n",
"7070\n",
"CREATING\n",
"7080\n",
"CREATING\n",
"7090\n",
"CREATING\n",
"7100\n",
"CREATING\n",
"7110\n",
"CREATING\n",
"7120\n",
"CREATING\n",
"7130\n",
"CREATING\n",
"7140\n",
"CREATING\n",
"7150\n",
"CREATING\n",
"7160\n",
"CREATING\n",
"7170\n",
"CREATING\n",
"7180\n",
"CREATING\n",
"7190\n",
"CREATING\n",
"7200\n",
"CREATING\n",
"7210\n",
"CREATING\n",
"7220\n",
"CREATING\n",
"7230\n",
"CREATING\n",
"7240\n",
"CREATING\n",
"7250\n",
"CREATING\n",
"7260\n",
"CREATING\n",
"7270\n",
"CREATING\n",
"7280\n",
"CREATING\n",
"7290\n",
"CREATING\n",
"7300\n",
"CREATING\n",
"7310\n",
"CREATING\n",
"7320\n",
"CREATING\n",
"7330\n",
"CREATING\n",
"7340\n",
"CREATING\n",
"7350\n",
"CREATING\n",
"7360\n",
"CREATING\n",
"7370\n",
"CREATING\n",
"7380\n",
"CREATING\n",
"7390\n",
"CREATING\n",
"7400\n",
"CREATING\n",
"7410\n",
"CREATING\n",
"7420\n",
"CREATING\n",
"7430\n",
"CREATING\n",
"7440\n",
"CREATING\n",
"7450\n",
"CREATING\n",
"7460\n",
"CREATING\n",
"7470\n",
"CREATING\n",
"7480\n",
"CREATING\n",
"7490\n",
"CREATING\n",
"7500\n",
"CREATING\n",
"7510\n",
"CREATING\n",
"7520\n",
"CREATING\n",
"7530\n",
"CREATING\n",
"7540\n",
"CREATING\n",
"7550\n",
"CREATING\n",
"7560\n",
"CREATING\n",
"7570\n",
"CREATING\n",
"7580\n",
"CREATING\n",
"7590\n",
"CREATING\n",
"7600\n",
"CREATING\n",
"7610\n",
"CREATING\n",
"7620\n",
"CREATING\n",
"7630\n",
"CREATING\n",
"7640\n",
"CREATING\n",
"7650\n",
"CREATING\n",
"7660\n",
"CREATING\n",
"7670\n",
"CREATING\n",
"7680\n",
"CREATING\n",
"7690\n",
"CREATING\n",
"7700\n",
"CREATING\n",
"7710\n",
"CREATING\n",
"7720\n",
"CREATING\n",
"7730\n",
"CREATING\n",
"7740\n",
"CREATING\n",
"7750\n",
"CREATING\n",
"7760\n",
"CREATING\n",
"7770\n",
"CREATING\n",
"7780\n",
"CREATING\n",
"7790\n",
"CREATING\n",
"7800\n",
"CREATING\n",
"7810\n",
"CREATING\n",
"7820\n",
"CREATING\n",
"7830\n",
"CREATING\n",
"7840\n",
"CREATING\n",
"7850\n",
"CREATING\n",
"7860\n",
"CREATING\n",
"7870\n",
"CREATING\n",
"7880\n",
"CREATING\n",
"7890\n",
"CREATING\n",
"7900\n",
"CREATING\n",
"7910\n",
"CREATING\n",
"7920\n",
"CREATING\n",
"7930\n",
"CREATING\n",
"7940\n",
"CREATING\n",
"7950\n",
"CREATING\n",
"7960\n",
"CREATING\n",
"7970\n",
"CREATING\n",
"7980\n",
"CREATING\n",
"7990\n",
"CREATING\n",
"8000\n",
"CREATING\n",
"8010\n",
"CREATING\n",
"8020\n",
"CREATING\n",
"8030\n",
"CREATING\n",
"8040\n",
"CREATING\n",
"8050\n",
"CREATING\n",
"8060\n",
"CREATING\n",
"8070\n",
"CREATING\n",
"8080\n",
"CREATING\n",
"8090\n",
"CREATING\n",
"8100\n",
"CREATING\n",
"8110\n",
"CREATING\n",
"8120\n",
"CREATING\n",
"8130\n",
"CREATING\n",
"8140\n",
"CREATING\n",
"8150\n",
"CREATING\n",
"8160\n",
"CREATING\n",
"8170\n",
"CREATING\n",
"8180\n",
"CREATING\n",
"8190\n",
"CREATING\n",
"8200\n",
"CREATING\n",
"8210\n",
"CREATING\n",
"8220\n",
"CREATING\n",
"8230\n",
"CREATING\n",
"8240\n",
"CREATING\n",
"8250\n",
"CREATING\n",
"8260\n",
"CREATING\n",
"8270\n",
"CREATING\n",
"8280\n",
"CREATING\n",
"8290\n",
"CREATING\n",
"8300\n",
"CREATING\n",
"8310\n",
"CREATING\n",
"8320\n",
"CREATING\n",
"8330\n",
"CREATING\n",
"8340\n",
"CREATING\n",
"8350\n",
"CREATING\n",
"8360\n",
"CREATING\n",
"8370\n",
"CREATING\n",
"8380\n",
"CREATING\n",
"8390\n",
"CREATING\n",
"8400\n",
"CREATING\n",
"8410\n",
"CREATING\n",
"8420\n",
"CREATING\n",
"8430\n",
"CREATING\n",
"8440\n",
"CREATING\n",
"8450\n",
"CREATING\n",
"8460\n",
"CREATING\n",
"8470\n",
"CREATING\n",
"8480\n",
"CREATING\n",
"8490\n",
"CREATING\n",
"8500\n",
"CREATING\n",
"8510\n",
"CREATING\n",
"8520\n",
"CREATING\n",
"8530\n",
"CREATING\n",
"8540\n",
"CREATING\n",
"8550\n",
"CREATING\n",
"8560\n",
"CREATING\n",
"8570\n",
"CREATING\n",
"8580\n",
"CREATING\n",
"8590\n",
"CREATING\n",
"8600\n",
"CREATING\n",
"8610\n",
"CREATING\n",
"8620\n",
"CREATING\n",
"8630\n",
"CREATING\n",
"8640\n",
"CREATING\n",
"8650\n",
"CREATING\n",
"8660\n",
"CREATING\n",
"8670\n",
"CREATING\n",
"8680\n",
"CREATING\n",
"8690\n",
"CREATING\n",
"8700\n",
"CREATING\n",
"8710\n",
"CREATING\n",
"8720\n",
"CREATING\n",
"8730\n",
"CREATING\n",
"8740\n",
"CREATING\n",
"8750\n",
"CREATING\n",
"8760\n",
"CREATING\n",
"8770\n",
"CREATING\n",
"8780\n",
"CREATING\n",
"8790\n",
"CREATING\n",
"8800\n",
"CREATING\n",
"8810\n",
"CREATING\n",
"8820\n",
"CREATING\n",
"8830\n",
"CREATING\n",
"8840\n",
"CREATING\n",
"8850\n",
"CREATING\n",
"8860\n",
"CREATING\n",
"8870\n",
"CREATING\n",
"8880\n",
"CREATING\n",
"8890\n",
"CREATING\n",
"8900\n",
"CREATING\n",
"8910\n",
"CREATING\n",
"8920\n",
"CREATING\n",
"8930\n",
"CREATING\n",
"8940\n",
"CREATING\n",
"8950\n",
"CREATING\n",
"8960\n",
"CREATING\n",
"8970\n",
"CREATING\n",
"8980\n",
"CREATING\n",
"8990\n",
"CREATING\n",
"9000\n",
"CREATING\n",
"9010\n",
"CREATING\n",
"9020\n",
"CREATING\n",
"9030\n",
"CREATING\n",
"9040\n",
"ACTIVE\n",
"9050\n",
"total time 9060\n"
]
}
],
"source": [
"i = 0\n",
"while True:\n",
" predictorStatus = forecast.describe_predictor(PredictorName=predictorName,VersionId=predictorVerionId)['Status']\n",
" print(predictorStatus)\n",
" print(i*10)\n",
" i=i+1\n",
" if predictorStatus != 'ACTIVE' and predictorStatus != 'FAILED':\n",
" sleep(10)\n",
" else:\n",
" break\n",
"print('total time {}'.format(i*10))"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'PredictorName': 'amz_u_streams_all_mqrnn',\n",
" 'VersionId': '20125000',\n",
" 'Status': 'ACTIVE',\n",
" 'CreationStartTime': '2019-01-11T07:45:49.954Z',\n",
" 'CreationCompleteTime': '2019-01-11T10:18:11.847Z',\n",
" 'LastModificationTime': '2019-01-11T10:18:11.847Z',\n",
" 'PredictorArn': 'arn:aws:forecast:us-west-2:073138737237:predictor/amz_u_streams_all_mqrnn',\n",
" 'RecipeName': 'forecast_MQRNN',\n",
" 'DatasetGroup': 'amz_u_streams_all_gp',\n",
" 'RecipeParameters': {},\n",
" 'ResponseMetadata': {'RequestId': '5c9b9700-5d22-49a4-b53e-ccaf2ee8d5bc',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 13:53:01 GMT',\n",
" 'x-amzn-requestid': '5c9b9700-5d22-49a4-b53e-ccaf2ee8d5bc',\n",
" 'content-length': '412',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.describe_predictor(PredictorName=predictorName,VersionId=predictorVerionId)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get Error Metrics"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'ModelMetrics': {'MQRNN': {'Metrics': {'p10': '0.18228662104273116',\n",
" 'p50': '0.7496131507736232',\n",
" 'p90': '0.928373597620061',\n",
" 'rmse': '149883.462439347'},\n",
" 'MetricsByBucket': []}},\n",
" 'ResponseMetadata': {'RequestId': '6f88ac14-3acd-40f0-bf50-1575a1250e72',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 13:53:07 GMT',\n",
" 'x-amzn-requestid': '6f88ac14-3acd-40f0-bf50-1575a1250e72',\n",
" 'content-length': '168',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecastquery.get_accuracy_metrics(PredictorName=predictorName)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Deploy Predictor"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'amz_u_streams_all_mqrnn'"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predictorName"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'PredictorName': 'amz_u_streams_all_mqrnn',\n",
" 'VersionId': '20125000',\n",
" 'PredictorArn': 'arn:aws:forecast:us-west-2:073138737237:predictor/amz_u_streams_all_mqrnn',\n",
" 'ResponseMetadata': {'RequestId': '43ee78ba-eea0-478f-90e0-c3fef55bbd16',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 13:53:17 GMT',\n",
" 'x-amzn-requestid': '43ee78ba-eea0-478f-90e0-c3fef55bbd16',\n",
" 'content-length': '157',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"forecast.deploy_predictor(PredictorName=predictorName)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'PredictorNames': ['amz_u_streams_all_mqrnn', 'amz_u_streams_bad_v3_mqrnn', 'amz_u_streams_v6_mqrnn_v9', 'forecastdemo_mattmel_mqrnn', 'meghan_erdman_mqrnn', 'rishisatsangi_forecastdemo_mqrnn', 'stefanduberg_forecastdemo_mqrnn', 'ttsang_forecastdemo_mqrnn', 'workshop_forecastdemo_relv_mqrnn'], 'ResponseMetadata': {'RequestId': '13f0a508-eed5-4db4-9596-162e15634b73', 'HTTPStatusCode': 200, 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1', 'date': 'Fri, 11 Jan 2019 13:53:27 GMT', 'x-amzn-requestid': '13f0a508-eed5-4db4-9596-162e15634b73', 'content-length': '286', 'connection': 'keep-alive'}, 'RetryAttempts': 0}}\n"
]
}
],
"source": [
"deployedPredictorsResponse=forecast.list_deployed_predictors()\n",
"print(deployedPredictorsResponse)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Please note that the following cell can also take 10 minutes or more to be fully operational. There's no output here, but that is fine as long as the * is there."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n",
"CREATING\n"
]
}
],
"source": [
"while True:\n",
" deployedPredictorStatus = forecast.describe_deployed_predictor(PredictorName=predictorName)['Status']\n",
" print(deployedPredictorStatus)\n",
" if deployedPredictorStatus != 'ACTIVE' and deployedPredictorStatus != 'FAILED':\n",
" sleep(30)\n",
" else:\n",
" break\n",
"print(deployedPredictorStatus)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get Forecast"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When the solution is deployed and forecast results are ready, you can view them. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"forecastResponse = forecastquery.get_forecast(\n",
" PredictorName=predictorName,\n",
" Interval=\"day\",\n",
" Filters={\"item_id\":17273}\n",
")\n",
"print(forecastResponse)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Export Forecast"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"###### You can batch export forecast to s3 bucket. To do so an role with s3 put access is needed, but this has already been created."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"forecastInfoList= forecast.list_forecasts(PredictorName=predictorName)['ForecastInfoList']\n",
"forecastId= forecastInfoList[0]['ForecastId']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"outputPath=\"s3://\"+bucketName+\"/output\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"forecastExportResponse = forecast.create_forecast_export_job(ForecastId=forecastId, OutputPath={\"S3Uri\": outputPath,\"RoleArn\":roleArn})"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"forecastExportJobId = forecastExportResponse['ForecastExportJobId']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"while True:\n",
" forecastExportStatus = forecast.describe_forecast_export_job(ForecastExportJobId=forecastExportJobId)['Status']\n",
" print(forecastExportStatus)\n",
" if forecastExportStatus != 'ACTIVE' and forecastExportStatus != 'FAILED':\n",
" sleep(30)\n",
" else:\n",
" break"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Check s3 bucket for results"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"s3.list_objects(Bucket=bucketName,Prefix=\"output\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cleanup\n",
"\n",
"While Forecast is in preview there are no charges for using it, but to future proof this work below are the instructions to cleanup your work space."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"ename": "ResourceNotFoundException",
"evalue": "An error occurred (ResourceNotFoundException) when calling the DeleteDeployedPredictor operation: Deployed solution not found",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mResourceNotFoundException\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Delete Deployed Predictor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_deployed_predictor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mPredictorName\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpredictorName\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/anaconda3/envs/python3/lib/python3.6/site-packages/botocore/client.py\u001b[0m in \u001b[0;36m_api_call\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 318\u001b[0m \"%s() only accepts keyword arguments.\" % py_operation_name)\n\u001b[1;32m 319\u001b[0m \u001b[0;31m# The \"self\" in this scope is referring to the BaseClient.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 320\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_api_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moperation_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 321\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[0m_api_call\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpy_operation_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/anaconda3/envs/python3/lib/python3.6/site-packages/botocore/client.py\u001b[0m in \u001b[0;36m_make_api_call\u001b[0;34m(self, operation_name, api_params)\u001b[0m\n\u001b[1;32m 622\u001b[0m \u001b[0merror_code\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsed_response\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Error\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Code\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 623\u001b[0m \u001b[0merror_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_code\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_code\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 624\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0merror_class\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparsed_response\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moperation_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 625\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mparsed_response\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mResourceNotFoundException\u001b[0m: An error occurred (ResourceNotFoundException) when calling the DeleteDeployedPredictor operation: Deployed solution not found"
]
}
],
"source": [
"# Delete Deployed Predictor \n",
"forecast.delete_deployed_predictor(PredictorName=predictorName)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'PredictorName': 'amz_u_streams_mqrnn_v3',\n",
" 'ResponseMetadata': {'RequestId': '3147b3d3-b0df-4a27-9936-efb9442b7ac4',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 01:03:49 GMT',\n",
" 'x-amzn-requestid': '3147b3d3-b0df-4a27-9936-efb9442b7ac4',\n",
" 'content-length': '42',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Delete the Predictor: \n",
"forecast.delete_predictor(PredictorName=predictorName)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'DatasetName': 'amz_u_streams_v2_ds',\n",
" 'ResponseMetadata': {'RequestId': '060d7762-d0d6-45e7-bc38-42816ce0b2e4',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 01:43:57 GMT',\n",
" 'x-amzn-requestid': '060d7762-d0d6-45e7-bc38-42816ce0b2e4',\n",
" 'content-length': '37',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Delete Import\n",
"forecast.delete_dataset_import(DatasetName=datasetName)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'ResponseMetadata': {'RequestId': '1370ce61-26a3-4ddc-929f-528fa27ded4a',\n",
" 'HTTPStatusCode': 200,\n",
" 'HTTPHeaders': {'content-type': 'application/x-amz-json-1.1',\n",
" 'date': 'Fri, 11 Jan 2019 01:44:02 GMT',\n",
" 'x-amzn-requestid': '1370ce61-26a3-4ddc-929f-528fa27ded4a',\n",
" 'content-length': '2',\n",
" 'connection': 'keep-alive'},\n",
" 'RetryAttempts': 0}}"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Delete Dataset Group\n",
"forecast.delete_dataset_group(DatasetGroupName=datasetGroupName)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "conda_python3",
"language": "python",
"name": "conda_python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}