#!/usr/bin/env python3
"""Report and validate SUMI OpenCT collection readiness without network I/O."""

from __future__ import annotations

import argparse
import csv
import json
from pathlib import Path


EXPECTED_DATASETS = {
    "DSB17",
    "LIDC-IDRI",
    "LNDb19",
    "LTRC",
    "LUNA16",
    "MIDRC",
    "NLST",
    "RSNA-STR",
}
MIRROR_ALLOWED = {
    "mirror_allowed_with_attribution",
    "mirror_selected_public_ct_with_attribution",
}


def read_jsonl(path: Path) -> list[dict]:
    if not path.exists():
        return []
    rows: list[dict] = []
    with path.open(encoding="utf-8") as f:
        for line_number, line in enumerate(f, start=1):
            if not line.strip():
                continue
            try:
                value = json.loads(line)
            except json.JSONDecodeError as exc:
                raise RuntimeError(f"Invalid JSON at {path}:{line_number}: {exc}") from exc
            if not isinstance(value, dict):
                raise RuntimeError(f"Expected an object at {path}:{line_number}")
            rows.append(value)
    return rows


def count_csv_rows(path: Path) -> int:
    if not path.exists():
        return 0
    with path.open(newline="", encoding="utf-8") as f:
        return sum(1 for _ in csv.DictReader(f))


def collect_status(root: Path) -> tuple[list[dict], list[str]]:
    registry_path = root / "manifests/source_datasets.csv"
    with registry_path.open(newline="", encoding="utf-8") as f:
        registry = list(csv.DictReader(f))

    errors: list[str] = []
    names = {row.get("dataset", "") for row in registry}
    if names != EXPECTED_DATASETS:
        errors.append(
            f"registry datasets differ: missing={sorted(EXPECTED_DATASETS - names)}, "
            f"unexpected={sorted(names - EXPECTED_DATASETS)}"
        )

    status: list[dict] = []
    for source in registry:
        dataset = source["dataset"]
        planned = int(source["planned_scans"])
        manifest_path = root / f"manifests/{dataset}.jsonl"
        manifest = read_jsonl(manifest_path)
        folders = [str(row.get("folder", "")) for row in manifest]
        source_uids = [str(row.get("source_series_uid", "")) for row in manifest]

        if len(folders) != len(set(folders)):
            errors.append(f"{dataset}: duplicate folder in {manifest_path}")
        if any(not value for value in folders):
            errors.append(f"{dataset}: manifest row missing folder")
        if len(source_uids) != len(set(source_uids)):
            errors.append(f"{dataset}: duplicate source_series_uid in {manifest_path}")
        if any(not value for value in source_uids):
            errors.append(f"{dataset}: manifest row missing source_series_uid")
        if len(manifest) > planned:
            errors.append(f"{dataset}: {len(manifest)} uploads exceed planned count {planned}")

        collector = source.get("collector", "")
        if collector and collector != "none" and not (root / collector).is_file():
            errors.append(f"{dataset}: collector does not exist: {collector}")
        policy = source.get("mirror_policy", "")
        if policy not in MIRROR_ALLOWED and manifest:
            errors.append(f"{dataset}: restricted source has {len(manifest)} uploaded manifest rows")

        selection_path = source.get("required_selection", "")
        selection_rows = count_csv_rows(root / selection_path) if selection_path else None
        status.append(
            {
                "dataset": dataset,
                "planned": planned,
                "uploaded": len(manifest),
                "preparation_status": source.get("preparation_status", ""),
                "mirror_policy": policy,
                "selection_rows": selection_rows,
            }
        )
    return status, errors


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--root", type=Path, default=Path("."))
    parser.add_argument("--json", action="store_true")
    args = parser.parse_args()

    root = args.root.resolve()
    status, errors = collect_status(root)
    if args.json:
        print(json.dumps({"sources": status, "errors": errors}, indent=2, sort_keys=True))
    else:
        print(f"{'dataset':<12} {'planned':>8} {'uploaded':>8}  preparation")
        for row in status:
            selection = row["selection_rows"]
            suffix = f" (selection rows: {selection})" if selection is not None else ""
            print(
                f"{row['dataset']:<12} {row['planned']:>8} {row['uploaded']:>8}  "
                f"{row['preparation_status']}{suffix}"
            )
        print(
            f"{'TOTAL':<12} {sum(row['planned'] for row in status):>8} "
            f"{sum(row['uploaded'] for row in status):>8}"
        )
        print("validation: " + ("OK" if not errors else "FAILED"))
        for error in errors:
            print(f"- {error}")

    if errors:
        raise SystemExit(1)


if __name__ == "__main__":
    main()