"""
audit_leakage.py — ERYON mandatory leakage audit.

Checks performed:
  1. Patient overlap    — no patient_id appears in more than one split
  2. Duplicate hashes   — exact sha256 duplicates across splits
  3. Perceptual hashes  — near-duplicate images across splits (pHash distance ≤ 8)
  4. Slice leakage      — series_id must not span multiple splits

Exits with code 1 if critical leakage (patient overlap, cross-split slice) is found.
Writes a JSON report to reports/leakage/.

Usage:
    python audit_leakage.py \\
        --manifest manifests/lidc/manifest_v1.0.0.jsonl \\
        --splits   manifests/lidc/splits_v1.0.0.json \\
        --out      reports/leakage/lidc_v1.0.0.json
"""

import argparse
import json
import sys
from collections import defaultdict
from pathlib import Path

try:
    import imagehash
    from PIL import Image
    PHASH_AVAILABLE = True
except ImportError:
    PHASH_AVAILABLE = False


def load_manifest(path: Path) -> list[dict]:
    return [json.loads(l) for l in path.read_text().splitlines() if l.strip()]


def audit(manifest_path: Path, splits_path: Path, image_root: Path | None) -> dict:
    records   = load_manifest(manifest_path)
    splits_js = json.loads(splits_path.read_text())
    split_map = splits_js.get("splits", {})

    critical: list[str] = []
    warnings: list[str] = []

    # 1. Patient overlap across splits
    patient_splits: dict[str, set] = defaultdict(set)
    for r in records:
        sid = r["series_id"]
        split = split_map.get(sid, r.get("split", "unassigned"))
        patient_splits[r["patient_id"]].add(split)
    for pid, splits in patient_splits.items():
        real = splits - {"unassigned"}
        if len(real) > 1:
            critical.append(f"Patient {pid} appears in multiple splits: {real}")

    # 2. Duplicate exact hashes across splits
    hash_to_records: dict[str, list] = defaultdict(list)
    for r in records:
        hash_to_records[r["sha256"]].append(r)
    for h, recs in hash_to_records.items():
        split_set = {split_map.get(r["series_id"], r.get("split")) for r in recs}
        if len(split_set) > 1:
            critical.append(f"Exact duplicate sha256 {h[:12]}… spans splits {split_set}")
        elif len(recs) > 1:
            warnings.append(f"Duplicate sha256 {h[:12]}… within same split ({len(recs)} copies)")

    # 3. Slice leakage — series_id in multiple splits
    series_splits: dict[str, set] = defaultdict(set)
    for r in records:
        sid = r["series_id"]
        series_splits[sid].add(split_map.get(sid, r.get("split", "unassigned")))
    for sid, splits in series_splits.items():
        real = splits - {"unassigned"}
        if len(real) > 1:
            critical.append(f"series_id {sid} spans multiple splits: {real}")

    # 4. Perceptual duplicates (optional — requires imagehash + image_root)
    if PHASH_AVAILABLE and image_root is not None:
        split_phashes: dict[str, list[tuple]] = defaultdict(list)
        for r in records:
            img_path = image_root / r["image_path"]
            if not img_path.exists():
                continue
            try:
                ph = imagehash.phash(Image.open(img_path))
                split = split_map.get(r["series_id"], r.get("split", "unassigned"))
                split_phashes[split].append((ph, r["image_path"]))
            except Exception:
                pass

        splits_list = list(split_phashes.keys())
        for i, s1 in enumerate(splits_list):
            for s2 in splits_list[i + 1 :]:
                for ph1, p1 in split_phashes[s1]:
                    for ph2, p2 in split_phashes[s2]:
                        if ph1 - ph2 <= 8:
                            warnings.append(
                                f"Perceptual near-duplicate across {s1}/{s2}: {p1} ~ {p2}"
                            )

    return {
        "total_records": len(records),
        "critical": critical,
        "warnings": warnings,
        "passed": len(critical) == 0,
    }


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--manifest",   required=True)
    parser.add_argument("--splits",     required=True)
    parser.add_argument("--image-root", default=None, help="Root for perceptual hash check (optional)")
    parser.add_argument("--out",        required=True)
    args = parser.parse_args()

    result = audit(
        manifest_path=Path(args.manifest),
        splits_path=Path(args.splits),
        image_root=Path(args.image_root) if args.image_root else None,
    )

    out_path = Path(args.out)
    out_path.parent.mkdir(parents=True, exist_ok=True)
    out_path.write_text(json.dumps(result, indent=2))

    status = "PASSED" if result["passed"] else "FAILED"
    print(f"Leakage audit {status}: {len(result['critical'])} critical, {len(result['warnings'])} warnings")
    print(f"Report: {out_path}")

    if not result["passed"]:
        for c in result["critical"]:
            print(f"  CRITICAL: {c}", file=sys.stderr)
        sys.exit(1)


if __name__ == "__main__":
    main()