#!/usr/bin/env python3
"""
Tests synthétiques de non-régression pour l'anonymisation.
"""
import json
from pathlib import Path

import pytest

from anonymizer_core_refactored_onnx import (
    anonymise_document_regex,
    load_dictionaries,
    selective_rescan,
)
from evaluation.leak_scanner import LeakScanner


SUITE_DIR = Path(__file__).resolve().parents[1] / "synthetic_regression"
CASES_DIR = SUITE_DIR / "cases"
MANIFEST_PATH = SUITE_DIR / "manifest.json"
LEAK_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())


def _load_manifest() -> dict:
    return json.loads(MANIFEST_PATH.read_text(encoding="utf-8"))


def _case_dirs() -> list[Path]:
    return sorted(path for path in CASES_DIR.iterdir() if path.is_dir())


def _normalize_audit(audit: list) -> list[dict]:
    return [
        {
            "kind": hit.kind,
            "original": hit.original,
            "replacement": hit.placeholder,
        }
        for hit in audit
    ]


def _load_case_cfg(case_dir: Path):
    overlay_path = case_dir / "config_overlay.yml"
    return load_dictionaries(overlay_path if overlay_path.exists() else None)


def _assertions_for(case_name: str) -> dict:
    manifest = _load_manifest()
    return manifest[case_name]


def test_synthetic_regression_inventory():
    assert MANIFEST_PATH.exists()
    assert len(_case_dirs()) == 10
    assert len(_load_manifest()) == 10


@pytest.mark.parametrize("case_dir", _case_dirs(), ids=lambda path: path.name)
def test_synthetic_regression_case(case_dir: Path):
    cfg = _load_case_cfg(case_dir)
    case_rules = _assertions_for(case_dir.name)

    input_path = case_dir / "test.txt"
    if not input_path.exists():
        input_path = case_dir / "input.txt"

    input_text = input_path.read_text(encoding="utf-8")
    expected_text = _normalize_text((case_dir / "expected.txt").read_text(encoding="utf-8"))
    expected_audit = json.loads((case_dir / "expected.audit.json").read_text(encoding="utf-8"))

    result = anonymise_document_regex([input_text], [[]], cfg)
    actual_text = _normalize_text(selective_rescan(result.text_out, cfg))
    actual_audit = _normalize_audit(result.audit)

    assert actual_text == expected_text
    assert actual_audit == expected_audit

    for required in case_rules.get("must_contain", []):
        assert required in actual_text

    for forbidden in case_rules.get("must_not_contain", []):
        assert forbidden not in actual_text

    leaks = LEAK_SCANNER.scan_text(
        actual_text,
        [
            {
                "kind": item["kind"],
                "original": item["original"],
            }
            for item in actual_audit
        ],
    )
    assert not leaks