from utils import get_hparams_from_file, load_checkpoint
import json


def export_onnx(export_path, model_path, config_path, novq, dev):
    hps = get_hparams_from_file(config_path)
    version = hps.version[0:3]
    if version == "2.0" or (version == "2.1" and novq):
        from .V200 import SynthesizerTrn, symbols
    elif version == "2.1" and (not novq):
        from .V210 import SynthesizerTrn, symbols
    elif version == "2.2":
        if novq and dev:
            from .V220_novq_dev import SynthesizerTrn, symbols
        else:
            from .V220 import SynthesizerTrn, symbols
    elif version == "2.3":
        from .V230 import SynthesizerTrn, symbols
    net_g = SynthesizerTrn(
        len(symbols),
        hps.data.filter_length // 2 + 1,
        hps.train.segment_size // hps.data.hop_length,
        n_speakers=hps.data.n_speakers,
        **hps.model,
    )
    _ = net_g.eval()
    _ = load_checkpoint(model_path, net_g, None, skip_optimizer=True)
    net_g.cpu()
    net_g.export_onnx(export_path)

    spklist = []
    for key in hps.data.spk2id.keys():
        spklist.append(key)

    MoeVSConf = {
        "Folder": f"{export_path}",
        "Name": f"{export_path}",
        "Type": "BertVits",
        "Symbol": symbols,
        "Cleaner": "",
        "Rate": hps.data.sampling_rate,
        "CharaMix": True,
        "Characters": spklist,
        "LanguageMap": {"ZH": [0, 0], "JP": [1, 6], "EN": [2, 8]},
        "Dict": "BasicDict",
        "BertPath": [
            "chinese-roberta-wwm-ext-large",
            "deberta-v2-large-japanese",
            "bert-base-japanese-v3",
        ],
        "Clap": "clap-htsat-fused",
    }

    with open(f"onnx/{export_path}.json", "w") as MoeVsConfFile:
        json.dump(MoeVSConf, MoeVsConfFile, indent=4)