#!/usr/bin/env python3

import argparse
from dataclasses import dataclass
from typing import List, Optional

import jinja2


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--total",
        type=int,
        default=1,
        help="Number of runners",
    )
    parser.add_argument(
        "--index",
        type=int,
        default=0,
        help="Index of the current runner",
    )
    return parser.parse_args()


@dataclass
class Model:
    # We will download
    # https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/{model_name}.tar.bz2
    model_name: str

    # The type of the model, e..g, 0, 1, 2. It is hardcoded in the kotlin code
    idx: int

    # e.g., zh, en, zh_en
    lang: str

    # e.g., whisper, paraformer, zipformer
    short_name: str = ""

    # cmd is used to remove extra file from the model directory
    cmd: str = ""


# See get_2nd_models() in ./generate-asr-2pass-apk-script.py
def get_models():
    models = [
        Model(
            model_name="sherpa-onnx-whisper-tiny.en",
            idx=2,
            lang="en",
            short_name="whisper_tiny",
            cmd="""
            pushd $model_name
            rm -v tiny.en-encoder.onnx
            rm -v tiny.en-decoder.onnx
            rm -rf test_wavs
            rm -v *.py
            rm -v requirements.txt
            rm -v .gitignore
            rm -v README.md

            ls -lh

            popd
            """,
        ),
        Model(
            model_name="sherpa-onnx-paraformer-zh-2023-03-28",
            idx=0,
            lang="zh",
            short_name="paraformer",
            cmd="""
            pushd $model_name

            rm -v README.md
            rm -rfv test_wavs
            rm model.onnx

            ls -lh

            popd
            """,
        ),
        Model(
            model_name="icefall-asr-zipformer-wenetspeech-20230615",
            idx=4,
            lang="zh",
            short_name="zipformer",
            cmd="""
            pushd $model_name

            rm -rfv test_wavs
            rm -v README.md
            mv -v data/lang_char/tokens.txt ./
            rm -rfv data/lang_char

            mv -v exp/encoder-epoch-12-avg-4.int8.onnx ./
            mv -v exp/decoder-epoch-12-avg-4.onnx ./
            mv -v exp/joiner-epoch-12-avg-4.int8.onnx ./
            rm -rfv exp

            ls -lh

            popd
            """,
        ),
        Model(
            model_name="sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k",
            idx=7,
            lang="be_de_en_es_fr_hr_it_pl_ru_uk",
            short_name="fast_conformer_ctc_20k",
            cmd="""
            pushd $model_name

            rm -rfv test_wavs

            ls -lh

            popd
            """,
        ),
        Model(
            model_name="sherpa-onnx-nemo-fast-conformer-ctc-en-24500",
            idx=8,
            lang="en",
            short_name="fast_conformer_ctc_24500",
            cmd="""
            pushd $model_name

            rm -rfv test_wavs

            ls -lh

            popd
            """,
        ),
        Model(
            model_name="sherpa-onnx-nemo-fast-conformer-ctc-en-de-es-fr-14288",
            idx=9,
            lang="en_des_es_fr",
            short_name="fast_conformer_ctc_14288",
            cmd="""
            pushd $model_name

            rm -rfv test_wavs

            ls -lh

            popd
            """,
        ),
        Model(
            model_name="sherpa-onnx-nemo-fast-conformer-ctc-es-1424",
            idx=10,
            lang="es",
            short_name="fast_conformer_ctc_1424",
            cmd="""
            pushd $model_name

            rm -rfv test_wavs

            ls -lh

            popd
            """,
        ),
    ]
    return models


def main():
    args = get_args()
    index = args.index
    total = args.total
    assert 0 <= index < total, (index, total)

    all_model_list = get_models()

    num_models = len(all_model_list)

    num_per_runner = num_models // total
    if num_per_runner <= 0:
        raise ValueError(f"num_models: {num_models}, num_runners: {total}")

    start = index * num_per_runner
    end = start + num_per_runner

    remaining = num_models - args.total * num_per_runner

    print(f"{index}/{total}: {start}-{end}/{num_models}")

    d = dict()
    d["model_list"] = all_model_list[start:end]
    if index < remaining:
        s = args.total * num_per_runner + index
        d["model_list"].append(all_model_list[s])
        print(f"{s}/{num_models}")

    filename_list = [
        "./build-apk-vad-asr.sh",
    ]
    for filename in filename_list:
        environment = jinja2.Environment()
        with open(f"{filename}.in") as f:
            s = f.read()
        template = environment.from_string(s)

        s = template.render(**d)
        with open(filename, "w") as f:
            print(s, file=f)


if __name__ == "__main__":
    main()