import os, shutil, subprocess, sys
td = r"/workspace/TabDiff"
name = r"pipeline_c19"
src = r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/tabular_bundle/pipeline_c19"
rt = r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/_tabdiff_runtime"
shutil.rmtree(rt, ignore_errors=True)

def _ignore(_, names):
    skip = {"__pycache__", "data", "synthetic", "result", "results", "ckpt"}
    return [n for n in names if n in skip or n.endswith(".pyc")]

shutil.copytree(td, rt, ignore=_ignore)
dst_data = os.path.join(rt, "data", name)
dst_syn = os.path.join(rt, "synthetic", name)
shutil.rmtree(dst_data, ignore_errors=True)
os.makedirs(os.path.dirname(dst_data), exist_ok=True)
shutil.copytree(src, dst_data)
os.makedirs(dst_syn, exist_ok=True)
for fn in ("real.csv", "test.csv", "val.csv"):
    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
os.chdir(rt)
os.environ["PYTHONPATH"] = rt + os.pathsep + os.environ.get("PYTHONPATH", "")
os.environ["TABDIFF_SMOKE_STEPS"] = "200"
os.environ["TABDIFF_STEPS"] = "200"
os.environ["TABDIFF_BATCH_SIZE"] = "256"
os.environ["TABDIFF_TRAIN_BATCH_SIZE"] = "256"
os.environ["TABDIFF_LR"] = "0.0005"
os.environ["TABDIFF_LEARNING_RATE"] = "0.0005"
os.environ["TABDIFF_NUM_TIMESTEPS"] = "50"
os.environ["TABDIFF_TIMESTEPS"] = "50"
os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
subprocess.check_call([
    sys.executable, "-m", "tabdiff.main",
    "--dataname", name, "--mode", "train", "--gpu", "0",
    "--no_wandb", "--exp_name", r"adapter_learnable",
])