sdks/python/apache_beam/yaml/tests/runinference.yaml

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pipelines:
  - pipeline:
      type: chain
      transforms:
        - type: Create
          config:
            elements:
              - question: "What is a car?"
              - question: "Where is the Eiffel Tower located?"
        - type: RunInference
          config:
            model_handler: 
              type: "VertexAIModelHandlerJSON"
              config:
                endpoint_id: 1870474887521370112
                project: "apache-beam-testing"
                location: "us-central1"
                preprocess:
                  callable: 'lambda x: {"prompt": x.question}'
                private: false
        - type: PyTransform
          name: TransformInferenceBeamRowsToSimpleSchemaRows
          config:
            constructor: __callable__
            kwargs: 
              source: | 
                import apache_beam as beam
                def simplify_elements(pcoll):
                  return pcoll | beam.Map(lambda row: beam.Row(dummy_field=1))
        - type: Sql
          name: CountRows
          config:
            query: "SELECT COUNT(*) AS actual_inference_count FROM PCOLLECTION"
        - type: AssertEqual
          config:
            elements:
              - {actual_inference_count: 2}

    options:
      yaml_experimental_features: ['ML']