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#!/usr/bin/env python3
import argparse
import json
import sys
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
def main() -> None:
parser = argparse.ArgumentParser(description="Check LeRobot language embeddings coverage.")
parser.add_argument("--data_root", default="/hfm/data/pick_box")
args = parser.parse_args()
data_root = Path(args.data_root)
meta = data_root / "meta"
episodes_path = meta / "episodes.jsonl"
lang_map_path = meta / "lang_map.json"
embed_dir = meta / "lang_embeddings"
if not episodes_path.exists():
raise FileNotFoundError(f"Missing {episodes_path}")
instructions = []
with episodes_path.open() as f:
for line in f:
row = json.loads(line)
instructions.append(str(row.get("instruction", "") or "").strip())
unique_instr = sorted(set(instructions))
empty_instr = sum(1 for i in instructions if not i)
print("Unique instructions:", len(unique_instr))
print("Empty instruction count:", empty_instr)
if not lang_map_path.exists():
print("Missing lang_map.json -> embeddings likely not generated.")
return
lang_map = json.loads(lang_map_path.read_text())
missing = [i for i in unique_instr if i not in lang_map]
print("lang_map entries:", len(lang_map))
print("Missing instructions in lang_map:", len(missing))
if embed_dir.exists():
embed_files = list(embed_dir.glob("*.pt"))
print("Embedding files:", len(embed_files))
else:
print("Missing lang_embeddings directory.")
if __name__ == "__main__":
main()
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