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ClippingConfig

Source code in docs_src/capo_elementalinference/types/clipping_config.py 
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class ClippingConfig(TypedDict, closed=True):
    callback_metadata: NotRequired[
        "capo_elementalinference.types.resource_description.ResourceDescription"
    ]
    """<p>A string that you want Elemental Inference to always include in the event clipping metadata for this output. The string might identify the sports event in the source media, for example. </p>"""
    data_source_configuration: NotRequired[
        "capo_elementalinference.types.data_source_configuration.DataSourceConfiguration"
    ]
    """<p>The data source to map onto this clipping output. This parameter is optional. When you include this parameter, Elemental Inference reads the event data for the fixture that you specify, and includes that data in the event clipping metadata for this output. </p> <p>If you omit this parameter, Elemental Inference doesn't map a data source onto this output. </p>"""

callback_metadata instance-attribute 

callback_metadata: NotRequired[ResourceDescription]

A string that you want Elemental Inference to always include in the event clipping metadata for this output. The string might identify the sports event in the source media, for example.

data_source_configuration instance-attribute 

data_source_configuration: NotRequired[DataSourceConfiguration]

The data source to map onto this clipping output. This parameter is optional. When you include this parameter, Elemental Inference reads the event data for the fixture that you specify, and includes that data in the event clipping metadata for this output.

If you omit this parameter, Elemental Inference doesn't map a data source onto this output.