import os, shutil, subprocess, sys
root = r"/workspace/ef-vfm"
name = r"pipeline_c2"
src = r"/work/output-Benchmark-trainonly-v1/c2/tabbyflow/tabbyflow-c2-20260504_235339/tabular_bundle/pipeline_c2"
os.makedirs(os.path.join(root, "data", name), exist_ok=True)
dst_data = os.path.join(root, "data", name)
dst_syn = os.path.join(root, "synthetic", name)
shutil.rmtree(dst_data, ignore_errors=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(root)
os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
os.environ["EFVFM_SMOKE_STEPS"] = "100"
os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
os.environ.setdefault("EFVFM_SAMPLE_BATCH_SIZE", "128")
os.environ.setdefault("EFVFM_EVAL_NUM_SAMPLES", "512")
subprocess.check_call([
    sys.executable, "main.py",
    "--dataname", name, "--mode", "train", "--gpu", "0",
    "--no_wandb", "--exp_name", r"adapter_efvfm",
])