SmartHearingAids-data / copy_removeall_from_eval_dir.py
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#!/usr/bin/env python3
"""
Create a remove-all subset from an eval_outputs directory.
A sample is copied iff:
- directory name ends with "_remove_only"
- metadata.command_variant.command_type == "remove_only"
- metadata.command_variant.target_sources == ["speech"]
- every distractor name is explicitly present in user_input
Output structure:
<src_eval_dir>/<dst_subdir>/outputs/<sample_dirs...>
"""
import argparse
import json
import os
import shutil
from pathlib import Path
def qualifies(metadata: dict) -> bool:
cmd = metadata.get("command_variant", {})
user_input = (cmd.get("user_input") or "").lower()
distractors = [d.lower() for d in metadata.get("distractors", [])]
if cmd.get("command_type") != "remove_only":
return False
if cmd.get("target_sources") != ["speech"]:
return False
if not distractors:
return False
return all(d.replace("_", " ") in user_input for d in distractors)
def main() -> None:
parser = argparse.ArgumentParser(
description="Create removeall subset from an eval_outputs directory."
)
parser.add_argument(
"--src_eval_dir",
type=Path,
required=True,
help="Path like experiments_final/<model>/eval_outputs_test_3k",
)
parser.add_argument(
"--dst_subdir",
type=str,
default="removeall",
help="Subdirectory to create under src_eval_dir (default: removeall)",
)
parser.add_argument(
"--force",
action="store_true",
help="Delete destination folder first if it already exists.",
)
args = parser.parse_args()
src_eval_dir = args.src_eval_dir.resolve()
src_outputs = src_eval_dir / "outputs"
if not src_outputs.exists():
raise FileNotFoundError(f"Missing source outputs dir: {src_outputs}")
dst_eval_dir = src_eval_dir / args.dst_subdir
dst_outputs = dst_eval_dir / "outputs"
if dst_eval_dir.exists() and args.force:
shutil.rmtree(dst_eval_dir)
dst_outputs.mkdir(parents=True, exist_ok=True)
total_remove_only = 0
copied = 0
for sample_dir in sorted(src_outputs.iterdir()):
if not sample_dir.is_dir():
continue
if not sample_dir.name.endswith("_remove_only"):
continue
meta_path = sample_dir / "metadata.json"
if not meta_path.exists():
continue
total_remove_only += 1
with meta_path.open() as f:
metadata = json.load(f)
if not qualifies(metadata):
continue
dst_sample = dst_outputs / sample_dir.name
if dst_sample.exists():
shutil.rmtree(dst_sample)
shutil.copytree(sample_dir, dst_sample)
copied += 1
summary = {
"src_eval_dir": str(src_eval_dir),
"dst_eval_dir": str(dst_eval_dir),
"total_remove_only_samples_seen": total_remove_only,
"copied_removeall_samples": copied,
"filter": {
"command_type": "remove_only",
"target_sources": ["speech"],
"all_distractors_named_in_user_input": True,
},
}
with (dst_eval_dir / "copy_summary.json").open("w") as f:
json.dump(summary, f, indent=2)
print(json.dumps(summary, indent=2))
if __name__ == "__main__":
main()