def update_vertex_ai_examples()

in scripts/internal/update_example_tables.py [0:0]

• 45 lines of code
• 8 McCabe index (conditional complexity)

def update_vertex_ai_examples(examples):
    file_path = "examples/vertex-ai/README.md"

    with open(file_path, "r") as f:
        content = f.read()

    new_content = []
    for line in content.split("\n"):
        if line.startswith("## Notebooks"):
            new_content.append(line)
            break
        new_content.append(line)

    for example_type in ["Training", "Inference", "Evaluation"]:
        examples_list = examples.get("Vertex AI", {}).get(example_type.lower(), [])
        new_content.append(f"\n### {example_type} Examples\n")
        if examples_list:
            table = format_table(
                ["Example", "Title"],
                [
                    (
                        f"[notebooks/{os.path.basename(path)}](./notebooks/{os.path.basename(path)})",
                        title,
                    )
                    for path, title in sorted(examples_list, key=lambda x: x[1])
                ],
            )
            new_content.append(table)
        else:
            new_content.append("Coming soon!")

    # Handle Pipelines section
    new_content.append("\n## Pipelines\n")
    pipeline_examples = examples.get("Vertex AI", {}).get("pipeline", [])
    if pipeline_examples:
        table = format_table(
            ["Example", "Title"],
            [
                (
                    f"[pipelines/{os.path.basename(path)}](./pipelines/{os.path.basename(path)})",
                    title,
                )
                for path, title in sorted(pipeline_examples, key=lambda x: x[1])
            ],
        )
        new_content.append(table)
    else:
        new_content.append("Coming soon!")

    with open(file_path, "w") as f:
        f.write("\n".join(new_content).strip())