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from pathlib import Path
from typing import Sequence
import rich
import rich.syntax
import rich.tree
from hydra.core.hydra_config import HydraConfig
from lightning.pytorch.utilities import rank_zero_only
from omegaconf import DictConfig, OmegaConf, open_dict
from rich.prompt import Prompt
from diff_ttsg.utils import pylogger
log = pylogger.get_pylogger(__name__)
@rank_zero_only
def print_config_tree(
cfg: DictConfig,
print_order: Sequence[str] = (
"data",
"model",
"callbacks",
"logger",
"trainer",
"paths",
"extras",
),
resolve: bool = False,
save_to_file: bool = False,
) -> None:
"""Prints content of DictConfig using Rich library and its tree structure.
Args:
cfg (DictConfig): Configuration composed by Hydra.
print_order (Sequence[str], optional): Determines in what order config components are printed.
resolve (bool, optional): Whether to resolve reference fields of DictConfig.
save_to_file (bool, optional): Whether to export config to the hydra output folder.
"""
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 log.warning(
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 save_to_file:
with open(Path(cfg.paths.output_dir, "config_tree.log"), "w") as file:
rich.print(tree, file=file)
@rank_zero_only
def enforce_tags(cfg: DictConfig, save_to_file: bool = False) -> None:
"""Prompts user to input tags from command line if no tags are provided in config."""
if not cfg.get("tags"):
if "id" in HydraConfig().cfg.hydra.job:
raise ValueError("Specify tags before launching a multirun!")
log.warning("No tags provided in config. Prompting user to input tags...")
tags = Prompt.ask("Enter a list of comma separated tags", default="dev")
tags = [t.strip() for t in tags.split(",") if t != ""]
with open_dict(cfg):
cfg.tags = tags
log.info(f"Tags: {cfg.tags}")
if save_to_file:
with open(Path(cfg.paths.output_dir, "tags.log"), "w") as file:
rich.print(cfg.tags, file=file)
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