from pathlib import Path
from typing import Optional, Sequence

import rich
import rich.syntax
import rich.tree
from omegaconf import DictConfig, OmegaConf


def print_config_tree(
    cfg: DictConfig,
    print_order: Sequence[str] = [],
    resolve: bool = False,
    log_dir: Optional[str] = None,
) -> None:
    """Prints the contents of a DictConfig as a tree structure using the Rich library.

    :param cfg: A DictConfig composed by Hydra.
    :param print_order: Determines in what order config components are printed. Default is ``("data", "model",
    "callbacks", "logger", "trainer", "paths", "extras")``.
    :param resolve: Whether to resolve reference fields of DictConfig. Default is ``False``.
    :param save_to_file: Whether to export config to the hydra output folder. Default is ``False``.
    """
    style = "dim"
    tree = rich.tree.Tree("CONFIG", style=style, guide_style=style)

    queue = []

    # add fields from `print_order` to queue
    for field in print_order:
        (
            queue.append(field)
            if field in cfg
            else print(
                f"Field '{field}' not found in config. Skipping '{field}' config printing..."
            )
        )

    # add all the other fields to queue (not specified in `print_order`)
    for field in cfg:
        if field not in queue:
            queue.append(field)

    # generate config tree from queue
    for field in queue:
        branch = tree.add(field, style=style, guide_style=style)

        config_group = cfg[field]
        if isinstance(config_group, DictConfig):
            branch_content = OmegaConf.to_yaml(config_group, resolve=resolve)
        else:
            branch_content = str(config_group)

        branch.add(rich.syntax.Syntax(branch_content, "yaml"))

    # print config tree
    rich.print(tree)

    # save config tree to file
    if log_dir is not None:
        with open(Path(log_dir, "config_tree.log"), "w") as file:
            rich.print(tree, file=file)