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"
if not os.path.exists(rt):
    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", "")
subprocess.check_call([
    sys.executable, "-m", "tabdiff.main",
    "--dataname", name, "--mode", "test", "--gpu", "0",
    "--no_wandb", "--exp_name", r"adapter_learnable",
    "--ckpt_path", r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/_tabdiff_runtime/tabdiff/ckpt/pipeline_c19/adapter_learnable/model_200.pt",
    "--num_samples_to_generate", str(int(32759)),
])
# test() 写入 tabdiff/result/<dataname>/<exp>/<epoch>/samples.csv
base = os.path.join(rt, "tabdiff", "result", name, r"adapter_learnable")
best = None
best_t = -1.0
for root, _, files in os.walk(base):
    if "samples.csv" in files:
        p = os.path.join(root, "samples.csv")
        t = os.path.getmtime(p)
        if t > best_t:
            best_t = t
            best = p
if not best:
    raise SystemExit("tabdiff: no samples.csv under " + base)
shutil.copy(best, r"/work/output-Benchmark-trainonly-v1/c19/tabdiff/tabdiff-c19-20260512_231303/tabdiff-c19-32759-20260512_235639.csv")