import os, sys, subprocess

work_dir = "/work/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_024211"
dataname = "tabsyn_c2"
output_csv = "/work/output-Benchmark-trainonly-v1/c2/tabsyn/tabsyn-c2-20260505_024211/tabsyn-c2-1382-20260505_033334.csv"
tabsyn_root = "/workspace/tabsyn"

assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"

old = os.environ.get("PYTHONPATH", "")
os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
sys.path.insert(0, tabsyn_root)

os.chdir(tabsyn_root)

# Ensure data symlink exists
data_link = os.path.join(tabsyn_root, "data", dataname)
data_src = os.path.join(work_dir, "data", dataname)
os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
if os.path.exists(data_link):
    os.remove(data_link)
os.symlink(data_src, data_link)

print(f"[TabSyn] Sampling 1382 rows")
env = os.environ.copy()
env.setdefault("TABSYN_RESUME", "0")
env.setdefault("TABSYN_VAE_BATCH_SIZE", "32")
env.setdefault("TABSYN_VAE_EVAL_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
env.setdefault("TABSYN_VAE_INFER_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
env.setdefault("TABSYN_VAE_ENCODE_BATCH_SIZE", env["TABSYN_VAE_BATCH_SIZE"])
ret = subprocess.run(
    [sys.executable, "main.py",
     "--dataname", dataname,
     "--mode", "sample",
     "--method", "tabsyn",
     "--gpu", "0",
     "--save_path", output_csv],
    cwd=tabsyn_root,
    env=env
)
if ret.returncode != 0:
    sys.exit(ret.returncode)
print(f"[TabSyn] Saved -> {output_csv}")