from __future__ import annotations

from typing import TYPE_CHECKING

from wandb.plot.custom_chart import plot_table

if TYPE_CHECKING:
    import wandb
    from wandb.plot.custom_chart import CustomChart


def bar(
    table: wandb.Table,
    label: str,
    value: str,
    title: str = "",
    split_table: bool = False,
) -> CustomChart:
    """Constructs a bar chart from a wandb.Table of data.

    Args:
        table (wandb.Table): A table containing the data for the bar chart.
        label (str): The name of the column to use for the labels of each bar.
        value (str): The name of the column to use for the values of each bar.
        title (str): The title of the bar chart.
        split_table (bool): Whether the table should be split into a separate section
            in the W&B UI. If `True`, the table will be displayed in a section named
            "Custom Chart Tables". Default is `False`.

    Returns:
        CustomChart: A custom chart object that can be logged to W&B. To log the
            chart, pass it to `wandb.log()`.

    Example:
        ```
        import random
        import wandb

        # Generate random data for the table
        data = [
            ["car", random.uniform(0, 1)],
            ["bus", random.uniform(0, 1)],
            ["road", random.uniform(0, 1)],
            ["person", random.uniform(0, 1)],
        ]

        # Create a table with the data
        table = wandb.Table(data=data, columns=["class", "accuracy"])

        # Initialize a W&B run and log the bar plot
        with wandb.init(project="bar_chart") as run:
            # Create a bar plot from the table
            bar_plot = wandb.plot.bar(
                table=table,
                label="class",
                value="accuracy",
                title="Object Classification Accuracy",
            )

            # Log the bar chart to W&B
            run.log({"bar_plot": bar_plot})
        ```
    """
    return plot_table(
        data_table=table,
        vega_spec_name="wandb/bar/v0",
        fields={"label": label, "value": value},
        string_fields={"title": title},
        split_table=split_table,
    )