EntityResolution / Client / get_matching_workflow

get_matching_workflow#

EntityResolution.Client.get_matching_workflow(**kwargs)#

Returns the MatchingWorkflow with a given name, if it exists.

Request Syntax

response = client.get_matching_workflow(
    workflowName='string'
)

Parameters:

workflowName (string) –

[REQUIRED]

The name of the workflow.

Return type:

dict

Returns:

Response Syntax

{
    'createdAt': datetime(2015, 1, 1),
    'description': 'string',
    'incrementalRunConfig': {
        'incrementalRunType': 'IMMEDIATE'
    },
    'inputSourceConfig': [
        {
            'applyNormalization': True|False,
            'inputSourceARN': 'string',
            'schemaName': 'string'
        },
    ],
    'outputSourceConfig': [
        {
            'KMSArn': 'string',
            'applyNormalization': True|False,
            'output': [
                {
                    'hashed': True|False,
                    'name': 'string'
                },
            ],
            'outputS3Path': 'string'
        },
    ],
    'resolutionTechniques': {
        'providerProperties': {
            'intermediateSourceConfiguration': {
                'intermediateS3Path': 'string'
            },
            'providerConfiguration': {...}|[...]|123|123.4|'string'|True|None,
            'providerServiceArn': 'string'
        },
        'resolutionType': 'RULE_MATCHING'|'ML_MATCHING'|'PROVIDER',
        'ruleBasedProperties': {
            'attributeMatchingModel': 'ONE_TO_ONE'|'MANY_TO_MANY',
            'matchPurpose': 'IDENTIFIER_GENERATION'|'INDEXING',
            'rules': [
                {
                    'matchingKeys': [
                        'string',
                    ],
                    'ruleName': 'string'
                },
            ]
        }
    },
    'roleArn': 'string',
    'tags': {
        'string': 'string'
    },
    'updatedAt': datetime(2015, 1, 1),
    'workflowArn': 'string',
    'workflowName': 'string'
}

Response Structure

(dict) –
- createdAt (datetime) –
  
  The timestamp of when the workflow was created.
- description (string) –
  
  A description of the workflow.
- incrementalRunConfig (dict) –
  
  An object which defines an incremental run type and has only incrementalRunType as a field.
  - incrementalRunType (string) –
    
    The type of incremental run. It takes only one value: IMMEDIATE.
- inputSourceConfig (list) –
  
  A list of InputSource objects, which have the fields InputSourceARN and SchemaName.
  - (dict) –
    
    An object containing InputSourceARN, SchemaName, and ApplyNormalization.
    - applyNormalization (boolean) –
      
      Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890.
    - inputSourceARN (string) –
      
      An Glue table Amazon Resource Name (ARN) for the input source table.
    - schemaName (string) –
      
      The name of the schema to be retrieved.
- outputSourceConfig (list) –
  
  A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.
  - (dict) –
    
    A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
    - KMSArn (string) –
      
      Customer KMS ARN for encryption at rest. If not provided, system will use an Entity Resolution managed KMS key.
    - applyNormalization (boolean) –
      
      Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890.
    - output (list) –
      
      A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
      - (dict) –
        
        A list of OutputAttribute objects, each of which have the fields Name and Hashed. Each of these objects selects a column to be included in the output table, and whether the values of the column should be hashed.
        
        hashed (boolean) –
        
        Enables the ability to hash the column values in the output.
        
        name (string) –
        
        A name of a column to be written to the output. This must be an InputField name in the schema mapping.
    - outputS3Path (string) –
      
      The S3 path to which Entity Resolution will write the output table.
- resolutionTechniques (dict) –
  
  An object which defines the resolutionType and the ruleBasedProperties.
  - providerProperties (dict) –
    
    The properties of the provider service.
    - intermediateSourceConfiguration (dict) –
      
      The Amazon S3 location that temporarily stores your data while it processes. Your information won’t be saved permanently.
      - intermediateS3Path (string) –
        
        The Amazon S3 location (bucket and prefix). For example: s3://provider_bucket/DOC-EXAMPLE-BUCKET
    - providerConfiguration (document) –
      
      The required configuration fields to use with the provider service.
    - providerServiceArn (string) –
      
      The ARN of the provider service.
  - resolutionType (string) –
    
    The type of matching. There are three types of matching: RULE_MATCHING, ML_MATCHING, and PROVIDER.
  - ruleBasedProperties (dict) –
    
    An object which defines the list of matching rules to run and has a field Rules, which is a list of rule objects.
    - attributeMatchingModel (string) –
      
      The comparison type. You can either choose ONE_TO_ONE or MANY_TO_MANY as the attributeMatchingModel.
      
      If you choose MANY_TO_MANY, the system can match attributes across the sub-types of an attribute type. For example, if the value of the Email field of Profile A and the value of BusinessEmail field of Profile B matches, the two profiles are matched on the Email attribute type.
      
      If you choose ONE_TO_ONE, the system can only match attributes if the sub-types are an exact match. For example, for the Email attribute type, the system will only consider it a match if the value of the Email field of Profile A matches the value of the Email field of Profile B.
    - matchPurpose (string) –
      
      An indicator of whether to generate IDs and index the data or not.
      
      If you choose IDENTIFIER_GENERATION, the process generates IDs and indexes the data.
      
      If you choose INDEXING, the process indexes the data without generating IDs.
    - rules (list) –
      
      A list of Rule objects, each of which have fields RuleName and MatchingKeys.
      - (dict) –
        
        An object containing RuleName, and MatchingKeys.
        
        matchingKeys (list) –
        
        A list of MatchingKeys. The MatchingKeys must have been defined in the SchemaMapping. Two records are considered to match according to this rule if all of the MatchingKeys match.
        
        (string) –
        
        ruleName (string) –
        
        A name for the matching rule.
- roleArn (string) –
  
  The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to access Amazon Web Services resources on your behalf.
- tags (dict) –
  
  The tags used to organize, track, or control access for this resource.
  - (string) –
    - (string) –
- updatedAt (datetime) –
  
  The timestamp of when the workflow was last updated.
- workflowArn (string) –
  
  The ARN (Amazon Resource Name) that Entity Resolution generated for the MatchingWorkflow.
- workflowName (string) –
  
  The name of the workflow.

get_matching_workflow#

Request Syntax

Response Syntax

Response Structure

Exceptions