#!/usr/bin/env python3
"""
Exécute le corpus synthétique de revue humaine et produit les diffs.
"""
from __future__ import annotations

import argparse
import difflib
import json
import shutil
import sys
from collections import Counter
from pathlib import Path

ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
    sys.path.insert(0, str(ROOT))

from anonymizer_core_refactored_onnx import (  # noqa: E402
    anonymise_document_regex,
    load_dictionaries,
    selective_rescan,
)
from evaluation.leak_scanner import LeakScanner  # noqa: E402


CORPUS_DIR = ROOT / "tests" / "synthetic_review"
CASES_DIR = CORPUS_DIR / "cases"
ACTUAL_DIR = CORPUS_DIR / "actual"
SCANNER = LeakScanner()


def normalize_text(text: str) -> str:
    text = text.replace("\r\n", "\n").replace("\r", "\n")
    return "\n".join(line.rstrip() for line in text.strip().splitlines()) + "\n"


def load_expectations(case_dir: Path) -> dict:
    expectations_path = case_dir / "expectations.json"
    if not expectations_path.exists():
        return {}
    return json.loads(expectations_path.read_text(encoding="utf-8"))


def build_leak_scan_seed(audit: list[dict]) -> list[dict]:
    """Évite les faux positifs sur les valeurs trop courtes ou ambiguës."""
    seed = []
    for item in audit:
        original = str(item.get("original", "")).strip()
        compact = original.replace(" ", "")
        if len(compact) < 4:
            continue
        if compact.isdigit() and len(compact) < 6:
            continue
        seed.append(
            {
                "kind": item["kind"],
                "original": original,
            }
        )
    return seed


def run_case(case_dir: Path) -> dict:
    cfg_path = case_dir / "config_overlay.yml"
    cfg = load_dictionaries(cfg_path if cfg_path.exists() else None)

    source_text = (case_dir / "test.txt").read_text(encoding="utf-8")
    expected_text = normalize_text((case_dir / "expected.txt").read_text(encoding="utf-8"))
    expectations = load_expectations(case_dir)

    anon = anonymise_document_regex([source_text], [[]], cfg)
    actual_text = normalize_text(selective_rescan(anon.text_out, cfg))
    audit = [
        {
            "kind": hit.kind,
            "original": hit.original,
            "replacement": hit.placeholder,
        }
        for hit in anon.audit
    ]
    summary = {
        "kinds_present": sorted(set(item["kind"] for item in audit)),
        "kind_counts": dict(sorted(Counter(item["kind"] for item in audit).items())),
        "audit_len": len(audit),
        "leaks": SCANNER.scan_text(actual_text, build_leak_scan_seed(audit)),
    }

    case_actual_dir = ACTUAL_DIR / case_dir.name
    if case_actual_dir.exists():
        shutil.rmtree(case_actual_dir)
    case_actual_dir.mkdir(parents=True, exist_ok=True)

    (case_actual_dir / "actual.txt").write_text(actual_text, encoding="utf-8")
    (case_actual_dir / "actual.audit.json").write_text(
        json.dumps(audit, ensure_ascii=False, indent=2) + "\n",
        encoding="utf-8",
    )
    (case_actual_dir / "actual.summary.json").write_text(
        json.dumps(summary, ensure_ascii=False, indent=2) + "\n",
        encoding="utf-8",
    )

    diff_lines = list(
        difflib.unified_diff(
            expected_text.splitlines(keepends=True),
            actual_text.splitlines(keepends=True),
            fromfile=f"{case_dir.name}/expected.txt",
            tofile=f"{case_dir.name}/actual.txt",
        )
    )
    (case_actual_dir / "diff.txt").write_text("".join(diff_lines), encoding="utf-8")

    failures = []
    if actual_text != expected_text:
        failures.append("text_diff")

    if summary["leaks"]:
        failures.append("leak_detected")

    required_kinds = expectations.get("required_kinds", [])
    missing_kinds = sorted(kind for kind in required_kinds if kind not in summary["kinds_present"])
    if missing_kinds:
        failures.append(f"missing_kinds:{','.join(missing_kinds)}")

    for required in expectations.get("must_contain", []):
        if required not in actual_text:
            failures.append(f"missing_text:{required}")

    for forbidden in expectations.get("must_not_contain", []):
        if forbidden in actual_text:
            failures.append(f"forbidden_text:{forbidden}")

    return {
        "case": case_dir.name,
        "failures": failures,
        "output_dir": str(case_actual_dir),
    }


def main() -> int:
    parser = argparse.ArgumentParser(description="Exécuter le corpus synthétique de revue humaine")
    parser.add_argument(
        "--strict",
        action="store_true",
        help="Retourne un code non nul si un cas diffère de l'attendu.",
    )
    args = parser.parse_args()

    ACTUAL_DIR.mkdir(parents=True, exist_ok=True)
    case_dirs = sorted(path for path in CASES_DIR.iterdir() if path.is_dir())
    results = [run_case(case_dir) for case_dir in case_dirs]

    has_failures = False
    for result in results:
        if result["failures"]:
            has_failures = True
            print(f"[FAIL] {result['case']}: {', '.join(result['failures'])}")
        else:
            print(f"[OK]   {result['case']}")
        print(f"       -> {result['output_dir']}")

    if args.strict and has_failures:
        return 1
    return 0


if __name__ == "__main__":
    raise SystemExit(main())