#!/usr/bin/env python3
"""Validate the deliberately source-free public toolkit release."""

from __future__ import annotations

import argparse
import hashlib
import json
import sys
from pathlib import Path


SPLITS = ("train", "validation", "test")
REQUIRED_FILES = (
    "README.md",
    "LICENSE",
    "NOTICE.md",
    "metrics/private_release_summary.json",
    "schemas/chat-example.schema.json",
    "docs/methodology.md",
    "docs/private-source-boundary.md",
    "docs/validation-summary.md",
)
PROHIBITED_SUFFIXES = {
    ".zip",
    ".gml",
    ".png",
    ".jpg",
    ".jpeg",
    ".gif",
    ".webp",
    ".wav",
    ".ogg",
    ".mp3",
    ".flac",
}
PROHIBITED_DATA_FIELDS = {"raw_excerpt", "source_text", "image_bytes", "audio_bytes"}
EXPECTED_ROLES = ("system", "user", "assistant")


def normalized_digest(value: object) -> str:
    encoded = json.dumps(value, ensure_ascii=False, sort_keys=True)
    normalized = " ".join(encoded.lower().split())
    return hashlib.sha256(normalized.encode("utf-8")).hexdigest()


def load_jsonl(path: Path) -> list[dict]:
    rows: list[dict] = []
    with path.open(encoding="utf-8-sig") as handle:
        for line_number, line in enumerate(handle, 1):
            if not line.strip():
                continue
            try:
                row = json.loads(line)
            except json.JSONDecodeError as exc:
                raise ValueError(f"{path}:{line_number}: invalid JSON: {exc}") from exc
            if not isinstance(row, dict):
                raise ValueError(f"{path}:{line_number}: row must be an object")
            rows.append(row)
    if not rows:
        raise ValueError(f"{path}: split is empty")
    return rows


def validate_row(path: Path, index: int, row: dict) -> None:
    label = f"{path}:{index}"
    if row.get("synthetic") is not True:
        raise ValueError(f"{label}: every public row must be explicitly synthetic")
    if not isinstance(row.get("id"), str) or not row["id"].strip():
        raise ValueError(f"{label}: missing id")
    if not isinstance(row.get("task"), str) or not row["task"].strip():
        raise ValueError(f"{label}: missing task")
    if PROHIBITED_DATA_FIELDS.intersection(row):
        raise ValueError(f"{label}: contains a prohibited private-source field")

    messages = row.get("messages")
    if not isinstance(messages, list) or len(messages) != len(EXPECTED_ROLES):
        raise ValueError(f"{label}: messages must contain system, user, and assistant")
    roles = tuple(message.get("role") for message in messages if isinstance(message, dict))
    if roles != EXPECTED_ROLES:
        raise ValueError(f"{label}: unexpected role sequence {roles}")
    for message in messages:
        if not isinstance(message.get("content"), str) or not message["content"].strip():
            raise ValueError(f"{label}: message content must be non-empty text")


def main() -> int:
    parser = argparse.ArgumentParser()
    parser.add_argument("--root", type=Path, default=Path(__file__).resolve().parents[1])
    args = parser.parse_args()
    root = args.root.resolve()

    errors: list[str] = []
    for relative in REQUIRED_FILES:
        if not (root / relative).is_file():
            errors.append(f"missing required file: {relative}")

    prohibited = [
        path.relative_to(root).as_posix()
        for path in root.rglob("*")
        if path.is_file() and path.suffix.lower() in PROHIBITED_SUFFIXES
    ]
    if prohibited:
        errors.append("prohibited extracted/binary files: " + ", ".join(prohibited[:10]))

    seen_ids: set[str] = set()
    fingerprints: dict[str, str] = {}
    counts: dict[str, int] = {}
    for split in SPLITS:
        path = root / "data" / "synthetic" / f"{split}.jsonl"
        try:
            rows = load_jsonl(path)
            counts[split] = len(rows)
            for index, row in enumerate(rows, 1):
                validate_row(path.relative_to(root), index, row)
                row_id = row["id"]
                if row_id in seen_ids:
                    raise ValueError(f"duplicate id: {row_id}")
                seen_ids.add(row_id)
                fingerprint = normalized_digest(row["messages"])
                if fingerprint in fingerprints:
                    raise ValueError(
                        f"cross-split duplicate: {row_id} matches {fingerprints[fingerprint]}"
                    )
                fingerprints[fingerprint] = row_id
        except (OSError, ValueError) as exc:
            errors.append(str(exc))

    if errors:
        print("PUBLIC_RELEASE_VALIDATION=FAIL")
        for error in errors:
            print(f"- {error}")
        return 1

    print("PUBLIC_RELEASE_VALIDATION=PASS")
    print("synthetic_rows=" + str(sum(counts.values())))
    print("split_counts=" + json.dumps(counts, sort_keys=True))
    print("prohibited_files=0")
    return 0


if __name__ == "__main__":
    sys.exit(main())