from openlayer import Openlayer
from openlayer.types.inference_pipelines import row_update_params

row_updates = {
  "ground_truth": "The sun is 94.471 million miles from the earth."
}
config = row_update_params.Config(
  ground_truth_column_name="ground_truth"
)

client = Openlayer()
client.inference_pipelines.rows.update(
    inference_pipeline_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    inference_id="832y98d3",
    row=row_updates,
    config=config,
)

import Openlayer from 'openlayer';

const openlayer = new Openlayer();

await openlayer.inferencePipelines.rows.update(
  {
    inferencePipelineId: '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
    inferenceId='832y98d3',
    config: {
      groundTruthColumnName: 'ground_truth',
    },
    row: {
        ground_truth: "The sun is 94.471 million miles from the earth.",
    },
  },
);

curl --request PUT \
--url https://api.openlayer.com/v1/inference-pipelines/{inferencePipelineId}/rows?inferenceId=832y98d3 \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
  "row": {
    "ground_truth": "The sun is 94.471 million miles from the earth."
  },
  "config": {
    "groundTruthColumnName": "ground_truth",
  }
}'

{
  "success": true
}

{
  "code": 123,
  "error": "<string>"
}