"""Verify anonymous repository access, configurations, and all artifact hashes."""
import hashlib
import json
import os
from pathlib import Path
import subprocess
import sys

os.environ["HF_HUB_DISABLE_IMPLICIT_TOKEN"] = "1"
os.environ["HF_HOME"] = "/tmp/trajectory_remote_verify_hf"
os.environ.pop("HF_TOKEN", None)

import pandas as pd
from huggingface_hub import HfApi
from datasets import get_dataset_config_names, load_dataset


def main():
    root = Path(__file__).resolve().parents[1]
    repo = "pranay5255/agent-trajectory-study-20260930"
    api = HfApi(token=False)
    info = api.dataset_info(repo)
    assert info.private is False and not info.gated
    revision = info.sha
    files = {f.path:f for f in api.list_repo_tree(repo, repo_type="dataset", revision=revision, recursive=True) if hasattr(f,"size")}
    manifest = json.loads((root / "provenance/publication_manifest.json").read_text())
    checked = 0
    for artifact in manifest["files"]:
        remote = files[artifact["path"]]
        assert remote.size == artifact["bytes"], artifact["path"]
        if remote.lfs:
            assert remote.lfs.sha256 == artifact["sha256"], artifact["path"]
        else:
            data = (root / artifact["path"]).read_bytes()
            git_hash = hashlib.sha1(f"blob {len(data)}\0".encode()+data).hexdigest()
            assert remote.blob_id == git_hash, artifact["path"]
        checked += 1
    configs = get_dataset_config_names(repo, revision=revision, token=False)
    expected = {"olmo","qwen","forest","olmo_events","qwen_events","forest_events","annotations","examples","example_summary","sources","coverage","forest_joins","token_diagnostics","redactions","q09_transitions","qwen27b_summary_only","usage_events"}
    assert set(configs) == expected, configs
    splits = {}
    for config in sorted(configs):
        dataset = load_dataset(repo, config, revision=revision, token=False, streaming=True)
        splits[config] = list(dataset)
        for name, split in dataset.items():
            first = next(iter(split))
            assert isinstance(first,dict) and first
        print(f"Anonymous configuration verified: {config}", flush=True)
    target = Path("/tmp/trajectory_anonymous_downloads")
    downloads = ["trajectory_eda_colab.ipynb","data/olmo.parquet","data/qwen.parquet","data/forest.parquet"]
    sample = pd.read_parquet(root / "data/qwen.parquet").sort_values("events").iloc[-1]
    downloads.append(sample.detail_path)
    subprocess.run([sys.executable,"-m","huggingface_hub.cli.hf","download",repo,*downloads,
                    "--repo-type","dataset","--revision",revision,"--local-dir",str(target),"--quiet"], check=True)
    lookup = {a["path"]:a for a in manifest["files"]}
    for name in downloads:
        assert hashlib.sha256((target/name).read_bytes()).hexdigest() == lookup[name]["sha256"]
    counts = {c:len(pd.read_parquet(target/f"data/{c}.parquet")) for c in ["olmo","qwen","forest"]}
    assert counts == {"olmo":570,"qwen":510,"forest":371}
    report = {"status":"passed","repository":repo,"verified_revision":revision,"public":True,"anonymous":True,
              "artifact_hashes_verified":checked,"configurations":splits,"episode_counts":counts,
              "anonymous_cli_downloads":downloads}
    (root / "provenance/remote_verification.json").write_text(json.dumps(report,indent=2)+"\n")
    print(json.dumps(report,indent=2))


if __name__ == "__main__":
    main()