"""Banque de voix : un jeu de voix francaises variees (genre, pool anonyme).

La banque de reference est peuplee par `scripts/import_voices.py` a partir de
**vrais clips de locuteurs francais** (CML-TTS, livres audio) : chaque voix a son
`ref_audio` + `ref_text`, qui servent de reference de timbre au clonage Qwen3
(rendu final). C'est la source de verite (metadata.json versionne).

`build_voicebank()` ci-dessous est un fallback **legacy** : il regenere des clips
*avec Kokoro* (presets a timbre anglais lisant du francais -> accent). Il ne se
declenche que si metadata.json est absent ou sans `ref_audio`. Re-peupler la
banque = relancer le script d'import, pas ce fallback.

Resolution moteur :
- Kokoro -> VoiceSpec(preset=kokoro_voice)        (rapide, preview / draft)
- Qwen3  -> VoiceSpec(ref_audio=clip, ref_text=…) (qualite, clonage)
"""
from __future__ import annotations

from pathlib import Path

import soundfile as sf

from ..config import VOICEBANK_DIR
from ..models import VoiceEntry, Voicebank
from ..tts.base import VoiceSpec

# Passage de reference lu par chaque voix pour creer son clip de clonage.
REFERENCE_TEXT = (
    "L'univers est toujours plus étrange qu'on ne le croit. "
    "Chaque nouvelle merveille pose les bases d'une découverte plus éblouissante encore."
)

# Jeu de voix par defaut (varie en genre). ff_siwis est la seule voix FR native ;
# les autres empruntent un timbre anglais mais lisent un texte phonemise en FR.
SEED: list[VoiceEntry] = [
    VoiceEntry(id="fr_f_siwis",  kokoro_voice="ff_siwis",   gender="female", age="adult", label="Siwis (FR)"),
    VoiceEntry(id="f_bella",     kokoro_voice="af_bella",   gender="female", age="adult", label="Bella"),
    VoiceEntry(id="f_heart",     kokoro_voice="af_heart",   gender="female", age="young", label="Heart"),
    VoiceEntry(id="f_emma",      kokoro_voice="bf_emma",    gender="female", age="adult", label="Emma"),
    VoiceEntry(id="f_nicole",    kokoro_voice="af_nicole",  gender="female", age="adult", label="Nicole"),
    VoiceEntry(id="m_fenrir",    kokoro_voice="am_fenrir",  gender="male",   age="adult", label="Fenrir"),
    VoiceEntry(id="m_michael",   kokoro_voice="am_michael", gender="male",   age="adult", label="Michael"),
    VoiceEntry(id="m_george",    kokoro_voice="bm_george",  gender="male",   age="adult", label="George"),
    VoiceEntry(id="m_lewis",     kokoro_voice="bm_lewis",   gender="male",   age="adult", label="Lewis"),
    VoiceEntry(id="m_eric",      kokoro_voice="am_eric",    gender="male",   age="young", label="Eric"),
    VoiceEntry(id="m_santa",     kokoro_voice="am_santa",   gender="male",   age="old",   label="Santa"),
]


def metadata_path() -> Path:
    return VOICEBANK_DIR / "metadata.json"


def clips_dir() -> Path:
    return VOICEBANK_DIR / "clips"


def load_voicebank() -> Voicebank:
    path = metadata_path()
    if path.exists():
        return Voicebank.model_validate_json(path.read_text(encoding="utf-8"))
    return Voicebank(entries=list(SEED))


def save_voicebank(vb: Voicebank) -> Path:
    VOICEBANK_DIR.mkdir(parents=True, exist_ok=True)
    metadata_path().write_text(vb.model_dump_json(indent=2), encoding="utf-8")
    return metadata_path()


def build_voicebank(*, regenerate: bool = False) -> Voicebank:
    """Genere les clips de reference manquants et ecrit metadata.json."""
    from ..tts.kokoro import KokoroBackend

    clips_dir().mkdir(parents=True, exist_ok=True)
    backend = KokoroBackend()
    entries: list[VoiceEntry] = []
    for seed in SEED:
        clip_rel = f"clips/{seed.id}.wav"
        clip_abs = VOICEBANK_DIR / clip_rel
        if regenerate or not clip_abs.exists():
            audio, sr = backend.synthesize(REFERENCE_TEXT, VoiceSpec(preset=seed.kokoro_voice))
            sf.write(str(clip_abs), audio, sr)
        entry = seed.model_copy(update={"ref_audio": clip_rel, "ref_text": REFERENCE_TEXT})
        entries.append(entry)
    vb = Voicebank(entries=entries)
    save_voicebank(vb)
    return vb


def voice_spec_for(entry: VoiceEntry, engine: str, *, speed: float = 1.0) -> VoiceSpec:
    """Construit la VoiceSpec adaptee au moteur cible."""
    if engine == "qwen3" and entry.ref_audio:
        ref_abs = str(VOICEBANK_DIR / entry.ref_audio)
        return VoiceSpec(ref_audio=ref_abs, ref_text=entry.ref_text, speed=speed)
    return VoiceSpec(preset=entry.kokoro_voice, speed=speed)