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feature: Add data ingestion only data-wrangler flow recipe generation helper function (#2336)
Co-authored-by: Ahsan Khan <[email protected]>
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‎src/sagemaker/wrangler/ingestion.py

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# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"). You
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# may not use this file except in compliance with the License. A copy of
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# the License is located at
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#
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# http://aws.amazon.com/apache2.0/
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#
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# or in the "license" file accompanying this file. This file is
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# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
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# ANY KIND, either express or implied. See the License for the specific
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# language governing permissions and limitations under the License.
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# language governing permissions and limitations under the License.
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"""Data wrangler helpers for data ingestion."""
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from __future__ import absolute_import
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from typing import Dict
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from uuid import uuid4
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from sagemaker.dataset_definition.inputs import (
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RedshiftDatasetDefinition,
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AthenaDatasetDefinition,
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)
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def generate_data_ingestion_flow_from_s3_input(
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input_name: str,
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s3_uri: str,
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s3_content_type: str = "csv",
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s3_has_header: bool = False,
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operator_version: str = "0.1",
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schema: Dict = None,
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):
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"""Generate the data ingestion only flow from s3 input
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Args:
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input_name (str): the name of the input to flow source node
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s3_uri (str): uri for the s3 input to flow source node
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s3_content_type (str): s3 input content type
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s3_has_header (bool): flag indicating the input has header or not
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operator_version: (str): the version of the operator
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schema: (typing.Dict): the schema for the data to be ingested
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Returns:
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dict (typing.Dict): A flow only conduct data ingestion with 1-1 mapping
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output_name (str): The output name used to configure
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`sagemaker.processing.FeatureStoreOutput`
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"""
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source_node = {
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"node_id": str(uuid4()),
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"type": "SOURCE",
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"inputs": [],
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"outputs": [{"name": "default"}],
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"operator": f"sagemaker.s3_source_{operator_version}",
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"parameters": {
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"dataset_definition": {
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"datasetSourceType": "S3",
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"name": input_name,
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"s3ExecutionContext": {
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"s3Uri": s3_uri,
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"s3ContentType": s3_content_type,
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"s3HasHeader": s3_has_header,
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},
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}
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},
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}
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output_node = _get_output_node(source_node["node_id"], operator_version, schema)
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flow = {
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"metadata": {"version": 1, "disable_limits": False},
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"nodes": [source_node, output_node],
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}
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return flow, f'{output_node["node_id"]}.default'
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def generate_data_ingestion_flow_from_athena_dataset_definition(
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input_name: str,
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athena_dataset_definition: AthenaDatasetDefinition,
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operator_version: str = "0.1",
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schema: Dict = None,
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):
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"""Generate the data ingestion only flow from athena input
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Args:
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input_name (str): the name of the input to flow source node
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athena_dataset_definition (AthenaDatasetDefinition): athena input to flow source node
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operator_version: (str): the version of the operator
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schema: (typing.Dict): the schema for the data to be ingested
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Returns:
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dict (typing.Dict): A flow only conduct data ingestion with 1-1 mapping
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output_name (str): The output name used to configure
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`sagemaker.processing.FeatureStoreOutput`
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"""
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source_node = {
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"node_id": str(uuid4()),
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"type": "SOURCE",
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"inputs": [],
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"outputs": [{"name": "default"}],
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"operator": f"sagemaker.athena_source_{operator_version}",
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"parameters": {
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"dataset_definition": {
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"datasetSourceType": "Athena",
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"name": input_name,
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"catalogName": athena_dataset_definition.catalog,
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"databaseName": athena_dataset_definition.database,
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"queryString": athena_dataset_definition.query_string,
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"s3OutputLocation": athena_dataset_definition.output_s3_uri,
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"outputFormat": athena_dataset_definition.output_format,
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}
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},
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}
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output_node = _get_output_node(source_node["node_id"], operator_version, schema)
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flow = {
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"metadata": {"version": 1, "disable_limits": False},
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"nodes": [source_node, output_node],
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}
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return flow, f'{output_node["node_id"]}.default'
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def generate_data_ingestion_flow_from_redshift_dataset_definition(
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input_name: str,
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redshift_dataset_definition: RedshiftDatasetDefinition,
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operator_version: str = "0.1",
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schema: Dict = None,
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):
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"""Generate the data ingestion only flow from redshift input
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Args:
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input_name (str): the name of the input to flow source node
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redshift_dataset_definition (RedshiftDatasetDefinition): redshift input to flow source node
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operator_version: (str): the version of the operator
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schema: (typing.Dict): the schema for the data to be ingested
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Returns:
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dict (typing.Dict): A flow only conduct data ingestion with 1-1 mapping
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output_name (str): The output name used to configure
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`sagemaker.processing.FeatureStoreOutput`
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"""
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source_node = {
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"node_id": str(uuid4()),
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"type": "SOURCE",
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"inputs": [],
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"outputs": [{"name": "default"}],
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"operator": f"sagemaker.redshift_source_{operator_version}",
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"parameters": {
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"dataset_definition": {
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"datasetSourceType": "Redshift",
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"name": input_name,
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"clusterIdentifier": redshift_dataset_definition.cluster_id,
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"database": redshift_dataset_definition.database,
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"dbUser": redshift_dataset_definition.db_user,
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"queryString": redshift_dataset_definition.query_string,
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"unloadIamRole": redshift_dataset_definition.cluster_role_arn,
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"s3OutputLocation": redshift_dataset_definition.output_s3_uri,
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"outputFormat": redshift_dataset_definition.output_format,
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}
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},
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}
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output_node = _get_output_node(source_node["node_id"], operator_version, schema)
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flow = {
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"metadata": {"version": 1, "disable_limits": False},
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"nodes": [source_node, output_node],
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}
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return flow, f'{output_node["node_id"]}.default'
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def _get_output_node(source_node_id: str, operator_version: str, schema: Dict):
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"""A helper function to generate output node, for internal use only
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Args:
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source_node_id (str): source node id
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operator_version: (str): the version of the operator
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schema: (typing.Dict): the schema for the data to be ingested
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Returns:
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dict (typing.Dict): output node
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"""
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return {
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"node_id": str(uuid4()),
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"type": "TRANSFORM",
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"operator": f"sagemaker.spark.infer_and_cast_type_{operator_version}",
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"trained_parameters": {} if schema is None else schema,
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"parameters": {},
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"inputs": [{"name": "default", "node_id": source_node_id, "output_name": "default"}],
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"outputs": [{"name": "default"}],
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}

‎tests/data/workflow/features.csv

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