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- import json
- def add_wandb_visualization(run, mlpipeline_ui_metadata_path):
- """NOTE: To use this, you must modify your component to have an output called `mlpipeline_ui_metadata_path` AND call `wandb.init` yourself inside that component.
- Example usage:
- def my_component(..., mlpipeline_ui_metadata_path: OutputPath()):
- import wandb
- from wandb.integration.kfp.helpers import add_wandb_visualization
- with wandb.init() as run:
- add_wandb_visualization(run, mlpipeline_ui_metadata_path)
- ... # the rest of your code here
- """
- def get_iframe_html(run):
- return f'<iframe src="{run.url}?kfp=true" style="border:none;width:100%;height:100%;min-width:900px;min-height:600px;"></iframe>'
- iframe_html = get_iframe_html(run)
- metadata = {
- "outputs": [{"type": "markdown", "storage": "inline", "source": iframe_html}]
- }
- with open(mlpipeline_ui_metadata_path, "w") as metadata_file:
- json.dump(metadata, metadata_file)
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