#!/usr/bin/env python3
"""
scan_subtitles.py — CLI pour tester le pipeline de scan de sous-titres Alfred.

Usage:
    uv run testing/subtitles/scan_subtitles.py <season_folder> [options]

Options:
    --release-group RARBG     Groupe de release (optionnel — active les known patterns)
    --pattern adjacent        Forcer un pattern (adjacent|flat|episode_subfolder|embedded)
    --video FILE              Fichier vidéo de référence (défaut: premier .mkv/.mp4 trouvé)
    --verbose                 Détails sur chaque token analysé
    --no-color                Désactive la colorisation

Exemples:
    uv run scripts/scan_subtitles.py "/media/tv/The X-Files/Season 01"
    uv run scripts/scan_subtitles.py "/media/tv/The X-Files/Season 01" --release-group RARBG
    uv run scripts/scan_subtitles.py "/media/tv/The X-Files/Season 01" --pattern episode_subfolder --verbose
"""

import argparse
import sys
import textwrap
from pathlib import Path

# Ajoute la racine du projet au path (testing/subtitles/ → ../../)
_PROJECT_ROOT = Path(__file__).resolve().parents[2]
if str(_PROJECT_ROOT) not in sys.path:
    sys.path.insert(0, str(_PROJECT_ROOT))

# ---------------------------------------------------------------------------
# Colorisation simple (pas de dépendance externe)
# ---------------------------------------------------------------------------

USE_COLOR = True

RESET = "\033[0m"
BOLD = "\033[1m"
DIM = "\033[2m"
GREEN = "\033[32m"
YELLOW = "\033[33m"
RED = "\033[31m"
CYAN = "\033[36m"
BLUE = "\033[34m"
MAGENTA = "\033[35m"


def c(text: str, *codes: str) -> str:
    if not USE_COLOR:
        return text
    return "".join(codes) + text + RESET


def section(title: str) -> None:
    width = 70
    print()
    print(c("─" * width, DIM))
    print(c(f"  {title}", BOLD, CYAN))
    print(c("─" * width, DIM))


def ok(msg: str) -> None:
    print(c("  ✓ ", GREEN, BOLD) + msg)


def warn(msg: str) -> None:
    print(c("  ⚠ ", YELLOW, BOLD) + msg)


def err(msg: str) -> None:
    print(c("  ✗ ", RED, BOLD) + msg)


def info(msg: str, indent: int = 2) -> None:
    print(" " * indent + msg)


def kv(key: str, value: str, indent: int = 4) -> None:
    print(" " * indent + c(f"{key}: ", BOLD) + value)


# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------

VIDEO_EXTS = {".mkv", ".mp4", ".avi", ".mov", ".ts", ".m2ts"}


def find_videos(folder: Path) -> list[Path]:
    return sorted(
        p for p in folder.iterdir() if p.is_file() and p.suffix.lower() in VIDEO_EXTS
    )


def confidence_bar(conf: float, width: int = 20) -> str:
    filled = int(conf * width)
    bar = "█" * filled + "░" * (width - filled)
    if conf >= 0.8:
        color = GREEN
    elif conf >= 0.5:
        color = YELLOW
    else:
        color = RED
    return c(bar, color) + c(f" {conf:.0%}", BOLD)


def track_summary(track, verbose: bool = False) -> None:
    lang = track.language.code if track.language else c("?", RED)
    fmt = track.format.id if track.format else c("?", RED)
    typ = track.subtitle_type.value
    src = (
        "embedded"
        if track.is_embedded
        else (track.file_path.name if track.file_path else "?")
    )

    # Couleur du type
    type_colors = {
        "standard": GREEN,
        "sdh": YELLOW,
        "forced": BLUE,
        "unknown": RED,
    }
    typ_str = c(typ, type_colors.get(typ, RESET))

    unresolved = not track.is_embedded and track.language is None
    clarif = c(" [langue inconnue]", RED, BOLD) if unresolved else ""

    print(f"    {c(src, BOLD)}")
    print(f"      lang={c(lang, CYAN)}  type={typ_str}  format={fmt}")
    conf_str = (
        c("n/a (embedded)", DIM)
        if track.is_embedded
        else confidence_bar(track.confidence)
    )
    print(f"      confidence={conf_str}{clarif}")

    if track.entry_count is not None:
        print(
            f"      entries={track.entry_count}  size={track.file_size_kb:.1f} KB"
            if track.file_size_kb
            else f"      entries={track.entry_count}"
        )

    if verbose and track.raw_tokens:
        print(f"      tokens={track.raw_tokens}")

    if track.is_resolved() and track.language and track.format:
        try:
            dest = track.destination_name
            print(f"      → {c(dest, GREEN, BOLD)}")
        except ValueError:
            pass


# ---------------------------------------------------------------------------
# Étapes du pipeline
# ---------------------------------------------------------------------------


def step_load_kb() -> SubtitleKnowledgeBase:
    from alfred.domain.subtitles.knowledge.base import SubtitleKnowledgeBase
    from alfred.domain.subtitles.knowledge.loader import KnowledgeLoader

    section("ÉTAPE 1 — Chargement de la base de connaissances")
    kb = SubtitleKnowledgeBase(KnowledgeLoader())

    fmts = kb.formats()
    langs = kb.languages()
    patterns = kb.patterns()

    ok(f"{len(fmts)} format(s) connu(s): {', '.join(fmts.keys())}")
    ok(f"{len(langs)} langue(s) connue(s): {', '.join(langs.keys())}")
    ok(f"{len(patterns)} pattern(s) connu(s): {', '.join(patterns.keys())}")

    total_tokens = sum(len(l.tokens) for l in langs.values())
    info(c(f"→ {total_tokens} tokens de langue au total", DIM), indent=4)

    return kb


def step_detect_pattern(
    kb: SubtitleKnowledgeBase,
    season_folder: Path,
    sample_video: Path,
    release_group: str | None,
    forced_pattern: str | None,
) -> SubtitlePattern:
    from alfred.domain.subtitles.services.pattern_detector import PatternDetector

    section("ÉTAPE 2 — Détection du pattern de release")

    # Priorité: forced > known patterns from release_group > auto-detect
    if forced_pattern:
        pattern = kb.pattern(forced_pattern)
        if not pattern:
            err(f"Pattern inconnu: '{forced_pattern}'")
            print(f"  Patterns disponibles: {', '.join(kb.patterns().keys())}")
            sys.exit(1)
        ok(f"Pattern forcé: {c(forced_pattern, CYAN, BOLD)}")
        return pattern

    if release_group:
        known = kb.patterns_for_group(release_group)
        if known:
            kv("Release group", release_group)
            ok(
                f"Pattern(s) connu(s) pour {release_group}: {', '.join(p.id for p in known)}"
            )
            pattern = known[0]
            kv("Pattern sélectionné", c(pattern.id, CYAN, BOLD))
            return pattern
        else:
            warn(f"Groupe '{release_group}' inconnu — lancement de la détection auto")

    # Auto-detect
    kv("Dossier analysé", str(season_folder))
    kv("Vidéo de référence", sample_video.name)

    detector = PatternDetector(kb)
    result = detector.detect(season_folder, sample_video)

    findings = result.get("raw_findings", {})
    info(c("Observations:", BOLD), indent=4)
    for key, val in findings.items():
        if val not in (False, None, 0):
            info(f"  {key}: {c(str(val), CYAN)}", indent=4)

    detected = result.get("detected")
    confidence = result.get("confidence", 0.0)
    description = result.get("description", "")

    print()
    info(c(f'Description: "{description}"', DIM), indent=4)
    print(f"    Confiance: {confidence_bar(confidence)}")

    if detected:
        ok(f"Pattern détecté: {c(detected.id, CYAN, BOLD)}")
        kv("Stratégie de scan", detected.scan_strategy.value)
        kv("Détection de type", detected.type_detection.value)
        if detected.root_folder:
            kv("Dossier racine", detected.root_folder)
        return detected
    else:
        warn("Aucun pattern détecté avec confiance suffisante — fallback: adjacent")
        fallback = kb.pattern("adjacent")
        if not fallback:
            err("Pattern 'adjacent' introuvable dans la KB !")
            sys.exit(1)
        return fallback


def step_identify_tracks(
    kb: SubtitleKnowledgeBase,
    sample_video: Path,
    pattern: SubtitlePattern,
    release_group: str | None,
    verbose: bool,
) -> MediaSubtitleMetadata:
    from alfred.domain.subtitles.services.identifier import SubtitleIdentifier

    section("ÉTAPE 3 — Identification des pistes")

    kv("Vidéo", sample_video.name)
    kv("Pattern", pattern.id)

    identifier = SubtitleIdentifier(kb)
    metadata = identifier.identify(
        video_path=sample_video,
        pattern=pattern,
        media_id=None,
        media_type="tv_show",
        release_group=release_group,
    )

    n_emb = len(metadata.embedded_tracks)
    n_ext = len(metadata.external_tracks)
    n_unresolved = len(metadata.unresolved_tracks)

    print()
    ok(f"{n_ext} piste(s) externe(s) trouvée(s)")
    if n_emb:
        ok(f"{n_emb} piste(s) embarquée(s) (ffprobe)")
    if n_unresolved:
        warn(f"{n_unresolved} piste(s) externe(s) sans langue reconnue")

    if metadata.external_tracks:
        print()
        info(c("Pistes externes:", BOLD))
        for track in metadata.external_tracks:
            track_summary(track, verbose)

    if metadata.embedded_tracks:
        print()
        info(c("Pistes embarquées:", BOLD))
        for track in metadata.embedded_tracks:
            track_summary(track, verbose)

    return metadata


def step_apply_rules(
    metadata: MediaSubtitleMetadata,
    release_group: str | None,
) -> tuple[SubtitleMatchingRules | None, list, list]:
    from alfred.domain.subtitles.aggregates import DEFAULT_RULES
    from alfred.domain.subtitles.services.matcher import SubtitleMatcher
    from alfred.domain.subtitles.services.utils import available_subtitles
    from alfred.domain.subtitles.value_objects import ScanStrategy

    section("ÉTAPE 4 — Application des règles")

    # Cas embedded : pas de matcher, on liste directement les pistes disponibles
    if metadata.detected_pattern_id == ScanStrategy.EMBEDDED.value:
        info(c("Pattern embedded — le matcher est court-circuité", DIM), indent=4)
        tracks = available_subtitles(metadata.embedded_tracks)
        ok(f"{len(tracks)} piste(s) disponible(s)")
        return None, tracks, []

    rules = DEFAULT_RULES()
    kv("Langues préférées", str(rules.preferred_languages))
    kv("Formats préférés", str(rules.preferred_formats))
    kv("Types autorisés", str(rules.allowed_types))
    kv("Confiance min", str(rules.min_confidence))
    info(
        c("(règles globales par défaut — pas de .alfred/ en mode scan)", DIM), indent=4
    )

    matcher = SubtitleMatcher()
    matched, unresolved = matcher.match(metadata.external_tracks, rules)

    print()
    ok(f"{len(matched)} piste(s) retenue(s)")
    if unresolved:
        warn(f"{len(unresolved)} piste(s) écartée(s) ou non résolue(s)")

    return rules, matched, unresolved


def step_show_results(
    matched: list,
    unresolved: list,
    is_embedded: bool,
    verbose: bool,
) -> None:
    section("RÉSULTAT FINAL")

    if matched:
        label = (
            "piste(s) disponible(s)" if is_embedded else "piste(s) qui seraient placées"
        )
        ok(f"{len(matched)} {label}:")
        for track in matched:
            lang = track.language.code if track.language else "?"
            typ = track.subtitle_type.value
            if is_embedded:
                print(f"    {c(lang, CYAN)}  {c(typ, GREEN)}")
            else:
                try:
                    dest = track.destination_name
                    src = track.file_path.name if track.file_path else "?"
                    print(f"    {c(src, DIM)} → {c(dest, GREEN, BOLD)}")
                except ValueError:
                    warn(f"  Piste incomplète (lang ou format manquant): {track}")
    else:
        warn("Aucune piste retenue.")

    if unresolved:
        print()
        warn(f"{len(unresolved)} piste(s) écartées ou à clarifier:")
        for track in unresolved:
            src = track.file_path.name if track.file_path else "?"
            reason = (
                "langue inconnue"
                if track.language is None
                else "confiance insuffisante"
            )
            line = f"    {c(src, DIM)}  ({reason})"
            if verbose and track.raw_tokens:
                line += c(f"  tokens: {track.raw_tokens}", YELLOW)
            print(line)

    print()


# ---------------------------------------------------------------------------
# Scan multi-épisodes (résumé)
# ---------------------------------------------------------------------------


def scan_season(
    kb: SubtitleKnowledgeBase,
    pattern: SubtitlePattern,
    season_folder: Path,
    release_group: str | None,
    verbose: bool,
) -> None:
    from alfred.domain.subtitles.aggregates import DEFAULT_RULES
    from alfred.domain.subtitles.services.identifier import SubtitleIdentifier
    from alfred.domain.subtitles.services.matcher import SubtitleMatcher

    videos = find_videos(season_folder)

    section(f"SCAN COMPLET DE LA SAISON ({len(videos)} épisode(s))")

    if not videos:
        warn("Aucun fichier vidéo trouvé dans ce dossier.")
        return

    identifier = SubtitleIdentifier(kb)
    matcher = SubtitleMatcher()
    rules = DEFAULT_RULES()

    col_w = max(len(v.name) for v in videos) + 2

    for video in videos:
        metadata = identifier.identify(
            video_path=video,
            pattern=pattern,
            media_id=None,
            media_type="tv_show",
            release_group=release_group,
        )
        matched, unresolved = matcher.match(metadata.external_tracks, rules)

        placed_names = []
        for t in matched:
            try:
                placed_names.append(t.destination_name)
            except ValueError:
                pass

        status_icon = c("✓", GREEN, BOLD) if placed_names else c("✗", RED, BOLD)
        warn_icon = (
            c(f" [{len(unresolved)} non-résolue(s)]", YELLOW) if unresolved else ""
        )

        print(
            f"  {status_icon} {video.name:{col_w}} {c(', '.join(placed_names) or '—', GREEN if placed_names else DIM)}{warn_icon}"
        )


# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(
        description="Scanner de sous-titres Alfred — pipeline de diagnostic",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog=textwrap.dedent(__doc__ or ""),
    )
    parser.add_argument("season_folder", help="Dossier de la saison (ou du film)")
    parser.add_argument(
        "--release-group",
        "-g",
        metavar="GROUP",
        help="Groupe de release (ex: RARBG, KONSTRAST)",
    )
    parser.add_argument(
        "--pattern",
        "-p",
        metavar="PATTERN",
        help="Forcer un pattern (adjacent|flat|episode_subfolder|embedded)",
    )
    parser.add_argument(
        "--video",
        "-v",
        metavar="FILE",
        help="Fichier vidéo de référence (défaut: premier trouvé)",
    )
    parser.add_argument(
        "--verbose", action="store_true", help="Affiche les tokens bruts par piste"
    )
    parser.add_argument(
        "--no-color", action="store_true", help="Désactive la colorisation ANSI"
    )
    parser.add_argument(
        "--season-scan",
        action="store_true",
        help="Après le diagnostic, scanner tous les épisodes de la saison",
    )
    return parser.parse_args()


def main() -> None:
    global USE_COLOR

    args = parse_args()

    if args.no_color or not sys.stdout.isatty():
        USE_COLOR = False

    season_folder = Path(args.season_folder).expanduser().resolve()
    if not season_folder.is_dir():
        print(f"Erreur: '{season_folder}' n'est pas un dossier.", file=sys.stderr)
        sys.exit(1)

    print()
    print(c("━" * 70, BOLD))
    print(c("  Alfred — Subtitle Scanner", BOLD, MAGENTA))
    print(c("━" * 70, BOLD))
    kv("Dossier", str(season_folder), indent=2)

    # Trouver la vidéo de référence
    if args.video:
        sample_video = Path(args.video).expanduser().resolve()
        if not sample_video.exists():
            print(f"Erreur: '{sample_video}' introuvable.", file=sys.stderr)
            sys.exit(1)
    else:
        videos = find_videos(season_folder)
        if not videos:
            # Chercher un niveau plus bas (structure release root)
            for sub in season_folder.iterdir():
                if sub.is_dir():
                    videos = find_videos(sub)
                    if videos:
                        break
        if not videos:
            print(
                "Erreur: aucun fichier vidéo trouvé dans ce dossier.", file=sys.stderr
            )
            sys.exit(1)
        sample_video = videos[0]

    kv("Vidéo de référence", sample_video.name, indent=2)

    # ---- Pipeline ----
    kb = step_load_kb()

    pattern = step_detect_pattern(
        kb=kb,
        season_folder=season_folder,
        sample_video=sample_video,
        release_group=args.release_group,
        forced_pattern=args.pattern,
    )

    metadata = step_identify_tracks(
        kb=kb,
        sample_video=sample_video,
        pattern=pattern,
        release_group=args.release_group,
        verbose=args.verbose,
    )

    rules, matched, unresolved = step_apply_rules(
        metadata=metadata,
        release_group=args.release_group,
    )

    step_show_results(
        matched=matched,
        unresolved=unresolved,
        is_embedded=rules is None,
        verbose=args.verbose,
    )

    if args.season_scan:
        scan_season(
            kb=kb,
            pattern=pattern,
            season_folder=season_folder,
            release_group=args.release_group,
            verbose=args.verbose,
        )

    print(c("━" * 70, BOLD))
    print()


if __name__ == "__main__":
    main()