app.py

import colorsys
import os
import json
from tempfile import NamedTemporaryFile

import gradio as gr
import pandas as pd

import MiracleCacheTools

parameters_list_path = "data/cdiParametersList.json"
parameters_groups_data_path = "data/cdiParametersGroupsData.json"

EXP_DATA_TEMP_LIST_LENGTH = 16

parameter_preset_files = []
for root, dirs, files in os.walk("data/parameter_presets"):
    for file in files:
        if file.endswith(".json"):
            parameter_preset_files.append(os.path.join(root, file))

def numInputCheck(num, min, max):
    if num < min:
        num = min
    if num > max:
        num = max
    return num

def RGBInputProcess(r, g, b):
    r = round(numInputCheck(r, 0, 255))
    g = round(numInputCheck(g, 0, 255))
    b = round(numInputCheck(b, 0, 255))

    # RGB to HEX
    color_hex = f"#{r:02X}{g:02X}{b:02X}"

    # RGB to HLS
    hls = colorsys.rgb_to_hls(r/255.0, g/255.0, b/255.0)
    hls_h = round(hls[0] * 360)
    hls_l = round(hls[1] * 100)
    hls_s = round(hls[2] * 100)

    # RGB to HSV
    hsv = colorsys.rgb_to_hsv(r/255.0, g/255.0, b/255.0)
    hsv_h = round(hsv[0] * 360)
    hsv_s = round(hsv[1] * 100)
    hsv_v = round(hsv[2] * 100)

    return color_hex, color_hex, hls_h, hls_l, hls_s, hsv_h, hsv_s, hsv_v

def HLSInputProcess(h, l, s):
    h = round(numInputCheck(h, 0, 360))
    l = round(numInputCheck(l, 0, 100))
    s = round(numInputCheck(s, 0, 100))

    # HLS to RGB
    rgb = colorsys.hls_to_rgb(h/360.0, l/100.0, s/100.0)
    rgb_r = round(rgb[0] * 255)
    rgb_g = round(rgb[1] * 255)
    rgb_b = round(rgb[2] * 255)

    # RGB to HEX
    color_hex = f"#{rgb_r:02X}{rgb_g:02X}{rgb_b:02X}"

    # RGB to HSV
    hsv = colorsys.rgb_to_hsv(rgb_r/255.0, rgb_g/255.0, rgb_b/255.0)
    hsv_h = round(hsv[0] * 360)
    hsv_s = round(hsv[1] * 100)
    hsv_v = round(hsv[2] * 100)

    return color_hex, color_hex, rgb_r, rgb_g, rgb_b, hsv_h, hsv_s, hsv_v

def HSVInputProcess(h, s, v):
    h = round(numInputCheck(h, 0, 360))
    s = round(numInputCheck(s, 0, 100))
    v = round(numInputCheck(v, 0, 100))

    # HSV to RGB
    rgb = colorsys.hsv_to_rgb(h/360.0, s/100.0, v/100.0)
    rgb_r = round(rgb[0] * 255)
    rgb_g = round(rgb[1] * 255)
    rgb_b = round(rgb[2] * 255)

    # RGB to HEX
    color_hex = f"#{rgb_r:02X}{rgb_g:02X}{rgb_b:02X}"

    # RGB to HLS
    hls = colorsys.rgb_to_hls(rgb_r/255.0, rgb_g/255.0, rgb_b/255.0)
    hls_h = round(hls[0] * 360)
    hls_l = round(hls[1] * 100)
    hls_s = round(hls[2] * 100)

    return color_hex, color_hex, rgb_r, rgb_g, rgb_b, hls_h, hls_l, hls_s

def colorInputProcess(color_str):
    #print(f"color_str: {color_str}")
    r, g, b = MiracleCacheTools.colorStringProcessRGB(color_str)

    # RGB to HEX
    color_hex = f"#{r:02X}{g:02X}{b:02X}"

    # RGB to HLS
    hls = colorsys.rgb_to_hls(r/255.0, g/255.0, b/255.0)
    hls_h = round(hls[0] * 360)
    hls_l = round(hls[1] * 100)
    hls_s = round(hls[2] * 100)

    # RGB to HSV
    hsv = colorsys.rgb_to_hsv(r/255.0, g/255.0, b/255.0)
    hsv_h = round(hsv[0] * 360)
    hsv_s = round(hsv[1] * 100)
    hsv_v = round(hsv[2] * 100)

    return color_hex, r, g, b, hls_h, hls_l, hls_s, hsv_h, hsv_s, hsv_v

def parameterPresetFileSelectUpdate(parameter_preset_file_select_type):
    if parameter_preset_file_select_type == "选择已有文件":
        return gr.Dropdown(value=None, interactive=True), gr.File(value=None, interactive=False)
    elif parameter_preset_file_select_type == "上传本地文件":
        return gr.Dropdown(value=None, interactive=False), gr.File(value=None, interactive=True)
    else:
        return gr.Dropdown(value=None, interactive=False), gr.File(value=None, interactive=False)

def parameterPresetFileProcess(parameter_preset_file):
    with open(parameter_preset_file, "r", encoding="utf8") as file:
        data = json.load(file)

    parameter_preset_list = list(data)

    return gr.Dropdown(choices=parameter_preset_list), data

def processButton0201Click(parameter_preset, expression_acceptor_file, expression_donor_file, parameter_preset_data):
    if parameter_preset is None:
        raise ValueError("parameter preset not found")
    if expression_acceptor_file is None:
        raise ValueError("expression acceptor not found")
    if expression_donor_file is None:
        raise ValueError("expression donor not found")
    
    with open(expression_acceptor_file, "r", encoding="utf8") as file:
        data_acceptor = json.load(file)

    with open(expression_donor_file, "r", encoding="utf8") as file:
        data_donor = json.load(file)

    parameters_list = list(parameter_preset_data[parameter_preset])

    data_result = MiracleCacheTools.expressionParametersMigration(parameters_list, data_acceptor, data_donor)

    with NamedTemporaryFile(suffix=".exp3.json", delete=False, mode="w", encoding="utf8") as file:
        json.dump(data_result, file, ensure_ascii=False, indent=4)
        result_file_path = file.name

    return result_file_path

def useButton0202Click(select_type, file_select, file_upload):
    if select_type == "选择已有文件":
        if file_select is None:
            raise ValueError("parameter preset file not found")
        file = file_select

    elif select_type == "上传本地文件":
        if file_upload is None:
            raise ValueError("parameter preset file not found")
        file = file_upload

    else:
        raise ValueError(f"unknown select type : {select_type}")
    
    with open(file, "r", encoding="utf8") as f:
        data = json.load(f)

    return data

def useButton0202aClick(file_upload):
    if file_upload is None:
        raise ValueError("parameters list update file not found")
    
    with open(file_upload, "r", encoding="utf8") as file:
        data_raw = json.load(file)

    data_result = MiracleCacheTools.cdiParametersListGet(data_raw)
    data_result_df = MiracleCacheTools.parametersListTextGet(data_result)

    return data_result, data_result_df

def addButton0202Click(data_raw, name, params, parameters_list_df):
    if name is None:
        raise ValueError("parameter preset name is empty")
    if params is None:
        params = []
    
    name = name.strip()
    if name == "":
        raise ValueError("parameter preset name is empty")
    if name in data_raw:
        raise ValueError(f"Duplicate parameter preset name found: {name}")
    
    pdata = {}
    for param in params:
        pid = parameters_list_df[parameters_list_df["text"]==param].reset_index(drop=True)["id"][0]
        pname = parameters_list_df[parameters_list_df["text"]==param].reset_index(drop=True)["name"][0]
        pdata[pid] = {"Name": pname}

    data_raw[name] = pdata.copy()

    return data_raw, "", []

def deleteButton0202Click(data_raw, delete_list):
    if delete_list is None:
        delete_list = []

    for name in delete_list:
        if name in data_raw:
            del data_raw[name]

    return data_raw, []

def saveButton0202Click(data_raw):
    with NamedTemporaryFile(suffix=".json", delete=False, mode="w", encoding="utf8") as file:
        json.dump(data_raw, file, ensure_ascii=False)
        result_file_path = file.name

    return result_file_path

def updateParametersGroupsDataByCdiFile(file_upload):
    if file_upload is None:
        raise ValueError("parameters groups data update file not found")
    
    with open(file_upload, "r", encoding="utf8") as file:
        data_raw = json.load(file)

    data_result = MiracleCacheTools.cdiParametersGroupsDataGet(data_raw)
    data_result_df = MiracleCacheTools.parametersListTextGet(data_result)

    return data_result, data_result_df

def processButton0203bClick(parameters_groups, expression_acceptor_file, expression_donor_file, parameters_groups_data, parameters_groups_dataframe):
    if parameters_groups is None:
        parameters_groups = []
    if expression_acceptor_file is None:
        raise ValueError("expression acceptor not found")
    if expression_donor_file is None:
        raise ValueError("expression donor not found")
    
    with open(expression_acceptor_file, "r", encoding="utf8") as file:
        data_acceptor = json.load(file)

    with open(expression_donor_file, "r", encoding="utf8") as file:
        data_donor = json.load(file)

    groups = {}
    for gtext in parameters_groups:
        gid = parameters_groups_dataframe[parameters_groups_dataframe["text"]==gtext].reset_index(drop=True)["id"][0]
        groups[gid] = parameters_groups_data[gid]

    data_result = MiracleCacheTools.expressionParametersMigrationByGroups(groups, data_acceptor, data_donor)
        
    with NamedTemporaryFile(suffix=".exp3.json", delete=False, mode="w", encoding="utf8") as file:
        json.dump(data_result, file, ensure_ascii=False, indent=4)
        result_file_path = file.name

    return result_file_path

def multipleExpressionsParametersMigration(expression_donor_files, parameters_groups, expression_data_temp_list, parameters_groups_data, parameters_groups_dataframe):
    if parameters_groups is None:
        return expression_data_temp_list
    elif len(parameters_groups) == 0:
        return expression_data_temp_list

    if expression_donor_files is None:
        return expression_data_temp_list
    elif len(expression_donor_files) == 0:
        return expression_data_temp_list

    data_result = expression_data_temp_list[-1]
    data_list_result = expression_data_temp_list.copy()
    groups = {}
    for gtext in parameters_groups:
        gid = parameters_groups_dataframe[parameters_groups_dataframe["text"]==gtext].reset_index(drop=True)["id"][0]
        groups[gid] = parameters_groups_data[gid]
    
    for expression_donor_file in expression_donor_files:
        with open(expression_donor_file, "r", encoding="utf8") as file:
            data_donor = json.load(file)
        data_result = MiracleCacheTools.expressionParametersMigrationByGroups(groups, data_result, data_donor)

    data_list_result.append(data_result.copy())
    if len(data_list_result) > EXP_DATA_TEMP_LIST_LENGTH:
        data_list_result = data_list_result[-EXP_DATA_TEMP_LIST_LENGTH:]

    return data_list_result

def multipleExpressionsParametersOverlay(expression_donor_files, parameters_groups, expression_data_temp_list, parameters_groups_data, parameters_groups_dataframe):
    if parameters_groups is None:
        return expression_data_temp_list
    elif len(parameters_groups) == 0:
        return expression_data_temp_list

    if expression_donor_files is None:
        return expression_data_temp_list
    elif len(expression_donor_files) == 0:
        return expression_data_temp_list

    data_result = expression_data_temp_list[-1]
    data_list_result = expression_data_temp_list.copy()
    groups = {}
    for gtext in parameters_groups:
        gid = parameters_groups_dataframe[parameters_groups_dataframe["text"]==gtext].reset_index(drop=True)["id"][0]
        groups[gid] = parameters_groups_data[gid]
    
    for expression_donor_file in expression_donor_files:
        with open(expression_donor_file, "r", encoding="utf8") as file:
            data_donor = json.load(file)
        data_result = MiracleCacheTools.expressionParametersOverlayByGroups(groups, data_result, data_donor)

    data_list_result.append(data_result.copy())
    if len(data_list_result) > EXP_DATA_TEMP_LIST_LENGTH:
        data_list_result = data_list_result[-EXP_DATA_TEMP_LIST_LENGTH:]

    return data_list_result

def expressionDataTempListAppendEmptyExpressionsDict(expression_data_temp_list):
    expression_data_temp_list.append({"Type": "Live2D Expression", "Parameters": []})
    if len(expression_data_temp_list) > EXP_DATA_TEMP_LIST_LENGTH:
        expression_data_temp_list = expression_data_temp_list[-EXP_DATA_TEMP_LIST_LENGTH:]

    return expression_data_temp_list
    
def saveButton0204bClick(data_raw_list):
    data_raw = data_raw_list[-1]
    with NamedTemporaryFile(suffix=".exp3.json", delete=False, mode="w", encoding="utf8") as file:
        json.dump(data_raw, file, ensure_ascii=False)
        result_file_path = file.name

    return result_file_path

def expressionDataTempListStateChange(expression_data_temp_list):
    expression_data = expression_data_temp_list[-1]
    if len(expression_data_temp_list) <= 1:
        back_interactive = False
    else:
        back_interactive = True

    return gr.JSON(value=expression_data), gr.Button(interactive=back_interactive)



with gr.Blocks(title="MiracleCacheTools") as demo:

    gr.Markdown("## 奇迹缓缓辅助工具箱")

    with gr.Tab("颜色空间换算"):

        comment_01 = gr.Markdown("注意事项：<br>滑块监听事件为其输入值的改变，快速拖动可能会出现数值更新不及时的bug。（程序缓不过来了）<br>调色时建议先通过点击确定大概位置，再缓慢微移滑块。")
        RGB_hex = gr.Textbox(value="#000000", label="十六进制RGB值", interactive=False)

        with gr.Row():
            with gr.Column(scale=1):
                gr.Markdown("**RGB**")
                RGB_r = gr.Slider(0, 255, value=0, step=1, label="R(红色)")
                RGB_g = gr.Slider(0, 255, value=0, step=1, label="G(绿色)")
                RGB_b = gr.Slider(0, 255, value=0, step=1, label="B(蓝色)")

            with gr.Column(scale=1):
                gr.Markdown("**HLS**")
                HLS_h = gr.Slider(0, 360, value=0, step=1, label="H(色相)")
                HLS_l = gr.Slider(0, 100, value=0, step=1, label="L(亮度)")
                HLS_s = gr.Slider(0, 100, value=0, step=1, label="S(饱和度)")

            with gr.Column(scale=1):
                gr.Markdown("**HSV**")
                HSV_h = gr.Slider(0, 360, value=0, step=1, label="H(色相)")
                HSV_s = gr.Slider(0, 100, value=0, step=1, label="S(饱和度)")
                HSV_v = gr.Slider(0, 100, value=0, step=1, label="V(明度)")

        with gr.Row():
            with gr.Column(scale=1):
                color = gr.ColorPicker(value="#000000", label="调色板", scale=1)
                gr.Markdown("右侧可上传参考图片，配合调色板的吸管工具使用。<br>试验性功能，请谨慎使用。")
            image_sample = gr.Image(value=None, label="参考图片", interactive=True, scale=3) 


        RGB_r.input(
            fn=RGBInputProcess,
            inputs=[RGB_r, RGB_g, RGB_b],
            outputs=[color, RGB_hex, HLS_h, HLS_l, HLS_s, HSV_h, HSV_s, HSV_v]
        )

        RGB_g.input(
            fn=RGBInputProcess,
            inputs=[RGB_r, RGB_g, RGB_b],
            outputs=[color, RGB_hex, HLS_h, HLS_l, HLS_s, HSV_h, HSV_s, HSV_v]
        )

        RGB_b.input(
            fn=RGBInputProcess,
            inputs=[RGB_r, RGB_g, RGB_b],
            outputs=[color, RGB_hex, HLS_h, HLS_l, HLS_s, HSV_h, HSV_s, HSV_v]
        )

        HLS_h.input(
            fn=HLSInputProcess,
            inputs=[HLS_h, HLS_l, HLS_s],
            outputs=[color, RGB_hex, RGB_r, RGB_g, RGB_b, HSV_h, HSV_s, HSV_v]
        )

        HLS_l.input(
            fn=HLSInputProcess,
            inputs=[HLS_h, HLS_l, HLS_s],
            outputs=[color, RGB_hex, RGB_r, RGB_g, RGB_b, HSV_h, HSV_s, HSV_v]
        )

        HLS_s.input(
            fn=HLSInputProcess,
            inputs=[HLS_h, HLS_l, HLS_s],
            outputs=[color, RGB_hex, RGB_r, RGB_g, RGB_b, HSV_h, HSV_s, HSV_v]
        )

        HSV_h.input(
            fn=HSVInputProcess,
            inputs=[HSV_h, HSV_s, HSV_v],
            outputs=[color, RGB_hex, RGB_r, RGB_g, RGB_b, HLS_h, HLS_l, HLS_s]
        )

        HSV_s.input(
            fn=HSVInputProcess,
            inputs=[HSV_h, HSV_s, HSV_v],
            outputs=[color, RGB_hex, RGB_r, RGB_g, RGB_b, HLS_h, HLS_l, HLS_s]
        )

        HSV_v.input(
            fn=HSVInputProcess,
            inputs=[HSV_h, HSV_s, HSV_v],
            outputs=[color, RGB_hex, RGB_r, RGB_g, RGB_b, HLS_h, HLS_l, HLS_s]
        )

        color.input(
            fn=colorInputProcess,
            inputs=[color],
            outputs=[RGB_hex, RGB_r, RGB_g, RGB_b, HLS_h, HLS_l, HLS_s, HSV_h, HSV_s, HSV_v]
        )


    with gr.Tab("表情参数批量迁移"):

        with open(parameters_list_path, "r", encoding="utf8") as file:
            parameters_list_dict = json.load(file)
        parameters_list_dict_state = gr.State(parameters_list_dict)
        parameters_list_df_state = gr.State(MiracleCacheTools.parametersListTextGet(parameters_list_dict))

        ## 此处参数分组表格和参数表格使用同一个函数获取
        with open(parameters_groups_data_path, "r", encoding="utf8") as file:
            parameters_groups_data_dict = json.load(file)
        parameters_groups_data_dict_state = gr.State(parameters_groups_data_dict)
        parameters_groups_data_df_state = gr.State(MiracleCacheTools.parametersListTextGet(parameters_groups_data_dict))

        

        gr.Markdown("表情参数批量迁移，试验性功能，请谨慎使用。<br>实际效果为，根据参考的参数列表，将参数施主的表情参数复制到参数受主中，覆盖原有表情参数或新增表情参数。（详见下方的详细说明）<br>参数列表应随奇迹缓缓一齐更新。<br>工具不会处理数据文件可能存在的格式问题，请自行确保数据文件格式正确并备份原始数据。")

        with gr.Tab("使用参数预设"):

            parameter_preset_data_state = gr.State({})

            with gr.Row():
                with gr.Column(scale=1):
                    gr.Markdown("#### 参数预设文件")
                    gr.Markdown("选择或上传参数预设文件并选择参数预设")
                    parameter_preset_file_select_type = gr.Radio(choices=["选择已有文件", "上传本地文件"], value="选择已有文件", label="参数预设文件选择方式", interactive=True)
                    parameter_preset_file_select = gr.Dropdown(choices=parameter_preset_files, value=None, multiselect=False, label="选择参数预设文件", interactive=True)
                    parameter_preset_file_upload = gr.File(file_types=[".json"], label="上传参数预设文件", interactive=False)
                    parameter_preset = gr.Dropdown(choices=[], value=None, multiselect=False, label="选择参数预设", interactive=True)

                with gr.Column(scale=1):
                    expression_acceptor_file = gr.File(file_types=[".json"], label="上传参数受主文件", interactive=True)
                    expression_donor_file = gr.File(file_types=[".json"], label="上传参数施主文件", interactive=True)
                    with gr.Row():
                        process_button_0201 = gr.Button("处理", variant="primary")
                        clear_button_0201 = gr.Button("清空", variant="primary")
                    output_file_0201 = gr.File(label="输出文件", interactive=False)

            gr.Markdown("#### 使用方法：")
            gr.Markdown("1. 选择或上传参数预设文件，选择参数预设。<br>2. 上传参数受主文件和参数施主文件。")
            gr.Markdown("#### 原理说明：")
            gr.Markdown("遍历预设列表中的参数。<br>若其存在于施主文件中，则将其复制到受主文件中，覆盖原有参数或新增参数。<br>若其不存在于施主文件中，则删去受主文件中的该参数（若存在）。")

            parameter_preset_file_select_type.change(
                fn=parameterPresetFileSelectUpdate,
                inputs=[parameter_preset_file_select_type],
                outputs=[parameter_preset_file_select, parameter_preset_file_upload]
            )

            parameter_preset_file_select.input(
                fn=parameterPresetFileProcess,
                inputs=[parameter_preset_file_select],
                outputs=[parameter_preset, parameter_preset_data_state]
            )

            parameter_preset_file_upload.upload(
                fn=parameterPresetFileProcess,
                inputs=[parameter_preset_file_upload],
                outputs=[parameter_preset, parameter_preset_data_state]
            )

            process_button_0201.click(
                fn=processButton0201Click,
                inputs=[parameter_preset, expression_acceptor_file, expression_donor_file, parameter_preset_data_state],
                outputs=[output_file_0201]
            )

            clear_button_0201.click(
                fn=lambda : ["选择已有文件", [], None, [], None, None],
                outputs=[parameter_preset_file_select_type, parameter_preset_file_select, parameter_preset_file_upload, parameter_preset, expression_acceptor_file, expression_donor_file]
            )

        with gr.Tab("自定义参数预设"):

            parameter_preset_0202_state = gr.State({})

            with gr.Row():
                with gr.Column(scale=1):
                    gr.Markdown("#### 参数预设模板文件")
                    gr.Markdown("选择或上传参数预设文件并以其作为参数预设模板")
                    parameter_preset_file_select_type_0202 = gr.Radio(choices=["选择已有文件", "上传本地文件"], value="选择已有文件", label="参数预设文件选择方式", interactive=True)
                    parameter_preset_file_select_0202 = gr.Dropdown(choices=parameter_preset_files, value=None, multiselect=False, label="选择参数预设文件", interactive=True)
                    parameter_preset_file_upload_0202 = gr.File(file_types=[".json"], label="上传参数预设文件", interactive=False)
                    with gr.Row():
                        use_button_0202 = gr.Button("使用参数预设模板", variant="primary")
                        clear_button_0202 = gr.Button("清空", variant="primary")

                    gr.Markdown("#### 参数列表更新")
                    gr.Markdown("默认使用现有参数列表<br>可上传『.cdi3.json』文件以更新参数列表")
                    parameters_list_update_file = gr.File(file_types=[".json"], show_label=False)
                    with gr.Row():
                        use_button_0202a = gr.Button("更新参数列表", variant="primary")

                with gr.Column(scale=1):
                    gr.Markdown("#### 添加参数预设")
                    gr.Markdown("注意，预设名称不可与现有的重复。")
                    parameter_preset_name = gr.Textbox(value="", label="参数预设名称", interactive=True)
                    parameter_preset_parameters = gr.Dropdown(choices=parameters_list_df_state.value["text"].to_list(), value=None, multiselect=True, label="选择预设参数", interactive=True, info="参数过多时，下拉框存在局限，后续将进行优化。")
                    with gr.Row():
                        add_button_0202 = gr.Button("添加参数预设", variant="primary")
                        clear_button_0202b = gr.Button("清空", variant="primary")
                    gr.Markdown("#### 删除参数预设")
                    parameter_preset_delete = gr.Dropdown(choices=list(parameter_preset_0202_state.value), value=None, multiselect=True, label="选择要删除的参数预设", interactive=True)
                    with gr.Row():
                        delete_button_0202 = gr.Button("删除参数预设", variant="primary")
                        clear_button_0202c = gr.Button("清空", variant="primary")

                    gr.Markdown("#### 参数预设预览")
                    parameter_preset_preview = gr.Dataframe(MiracleCacheTools.parameterPresetDataFramePreviewGet(parameter_preset_0202_state.value), headers=["预设名称", "参数列表"], interactive=False, label="参数预设预览")

                    gr.Markdown("#### 参数预设保存")
                    save_button_0202 = gr.Button("保存参数预设文件", variant="primary")
                    output_file_0202 = gr.File(label="输出文件", interactive=False)

            parameter_preset_file_select_type_0202.change(
                fn=parameterPresetFileSelectUpdate,
                inputs=[parameter_preset_file_select_type_0202],
                outputs=[parameter_preset_file_select_0202, parameter_preset_file_upload_0202]
            )

            use_button_0202.click(
                fn=useButton0202Click,
                inputs=[parameter_preset_file_select_type_0202, parameter_preset_file_select_0202, parameter_preset_file_upload_0202],
                outputs=[parameter_preset_0202_state]
            )

            clear_button_0202.click(
                fn=lambda :["选择已有文件", [], None],
                outputs=[parameter_preset_file_select_type_0202, parameter_preset_file_select_0202, parameter_preset_file_upload_0202]
            )

            use_button_0202a.click(
                fn=useButton0202aClick,
                inputs=[parameters_list_update_file],
                outputs=[parameters_list_dict_state, parameters_list_df_state]
            )

            add_button_0202.click(
                fn=addButton0202Click,
                inputs=[parameter_preset_0202_state, parameter_preset_name, parameter_preset_parameters, parameters_list_df_state],
                outputs=[parameter_preset_0202_state, parameter_preset_name, parameter_preset_parameters]
            )

            clear_button_0202b.click(
                fn=lambda : ["", []],
                outputs=[parameter_preset_name, parameter_preset_parameters]
            )

            delete_button_0202.click(
                fn=deleteButton0202Click,
                inputs=[parameter_preset_0202_state, parameter_preset_delete],
                outputs=[parameter_preset_0202_state, parameter_preset_delete]
            )

            clear_button_0202c.click(
                fn=lambda : [[]],
                outputs=[parameter_preset_delete]
            )

            save_button_0202.click(
                fn=saveButton0202Click,
                inputs=[parameter_preset_0202_state],
                outputs=[output_file_0202]
            )

            parameters_list_df_state.change(
                fn=lambda df:gr.Dropdown(choices=df["text"].to_list()),
                inputs=[parameters_list_df_state],
                outputs=[parameter_preset_parameters]
            )

            parameter_preset_0202_state.change(
                fn=lambda preset:[gr.Dataframe(MiracleCacheTools.parameterPresetDataFramePreviewGet(preset)), gr.Dropdown(choices=list(preset))],
                inputs=[parameter_preset_0202_state],
                outputs=[parameter_preset_preview, parameter_preset_delete]
            )

        with gr.Tab("使用原生参数分组"):
            gr.Markdown("使用原生的参数分组作为参考的参数列表。<br>分组可多选。")

            with gr.Row():
                with gr.Column(scale=1):
                    parameters_groups_select_0203 = gr.Dropdown(choices=parameters_groups_data_df_state.value["text"].to_list(), value=None, multiselect=True, interactive=True, label="选择参数分组")
                    with gr.Row():
                        all_button_0203 = gr.Button("全选", variant="primary")
                        #clear_button_0203 = gr.Button("清空", variant="primary")

                    gr.Markdown("#### 参数分组数据更新")
                    gr.Markdown("默认使用现有参数分组数据<br>可上传『.cdi3.json』文件以更新参数分组数据")
                    parameters_groups_data_update_file = gr.File(file_types=[".json"], show_label=False)
                    with gr.Row():
                        use_button_0203a = gr.Button("更新参数分组", variant="primary")

                with gr.Column(scale=1):
                    expression_acceptor_file_0203 = gr.File(file_types=[".json"], label="上传参数受主文件", interactive=True)
                    expression_donor_file_0203 = gr.File(file_types=[".json"], label="上传参数施主文件", interactive=True)
                    with gr.Row():
                        process_button_0203b = gr.Button("处理", variant="primary")
                        clear_button_0203b = gr.Button("清空", variant="primary")
                    output_file_0203 = gr.File(label="输出文件", interactive=False)

            all_button_0203.click(
                fn=lambda df: gr.Dropdown(value=df["text"].to_list()),
                inputs=[parameters_groups_data_df_state],
                outputs=[parameters_groups_select_0203]
            )

            use_button_0203a.click(
                fn=updateParametersGroupsDataByCdiFile,
                inputs=[parameters_groups_data_update_file],
                outputs=[parameters_groups_data_dict_state, parameters_groups_data_df_state]
            )

            process_button_0203b.click(
                fn=processButton0203bClick,
                inputs=[parameters_groups_select_0203, expression_acceptor_file_0203, expression_donor_file_0203, parameters_groups_data_dict_state, parameters_groups_data_df_state],
                outputs=[output_file_0203]
            )

            clear_button_0203b.click(
                fn=lambda:[[], None, None],
                outputs=[parameters_groups_select_0203, expression_acceptor_file_0203, expression_donor_file_0203]
            )


        with gr.Tab("多表情参数迁移叠加"):

            expression_data_temp_list_state = gr.State([{"Type": "Live2D Expression", "Parameters": []}])

            gr.Markdown("此工具不再限定参数来源为一个参数施主文件和一个参数受主文件，现在可以将多个表情里指定的参数迁移到目标中。")
            gr.Markdown("新表情的参数会覆盖原有的同名参数，目前有『迁移』『叠加』两种操作。<br>『迁移』和之前一样会删掉参考列表中原表情有而新表情没有的参数，『叠加』则不会。<br>当参数列表包含所有相关参数时，其『迁移』结果新表情将会完全覆盖原表情，『叠加』结果则类似于VTS的表情叠加。")
            gr.Markdown("右侧可预览暂存的表情数据，点击保存按钮可将其保存为json文件。<br>可以撤回处理操作，目前至多支持16步。")

            with gr.Row():
                with gr.Column(scale=1):
                    gr.Markdown("#### 表情参数迁移")
                    gr.Markdown("上传参数施主文件并选择参数分组。")
                    expression_donor_files = gr.Files(file_types=[".json"], label="上传参数施主文件", interactive=True)
                    parameters_groups_select_0204 = gr.Dropdown(choices=parameters_groups_data_df_state.value["text"].to_list(), value=None, multiselect=True, interactive=True, label="选择参数分组")
                    with gr.Row():
                        all_button_0204a = gr.Button("全选", variant="primary")
                        clear_button_0204a = gr.Button("清空", variant="primary")
                    with gr.Row():
                        migration_button_0204a = gr.Button("迁移", variant="primary")
                        overlay_button_0204a = gr.Button("叠加", variant="primary")

                    gr.Markdown("#### 参数分组数据更新")
                    gr.Markdown("默认使用现有参数分组数据<br>可上传『.cdi3.json』文件以更新参数分组数据")
                    parameters_groups_data_update_file_0204 = gr.File(file_types=[".json"], show_label=False, interactive=True)
                    with gr.Row():
                        use_button_0204 = gr.Button("更新参数分组", variant="primary")

                with gr.Column(scale=1):
                    expression_data_temp_preview_json = gr.JSON(value=expression_data_temp_list_state.value[-1], label="暂存表情数据预览")
                    with gr.Row():
                        back_button_0204b = gr.Button("撤回", variant="primary", interactive=False)
                        clear_button_0204b = gr.Button("清空", variant="primary")
                        save_button_0204b = gr.Button("保存", variant="primary")
                    output_file_0204 = gr.File(label="输出文件", interactive=False)

            all_button_0204a.click(
                fn=lambda df: gr.Dropdown(value=df["text"].to_list()),
                inputs=[parameters_groups_data_df_state],
                outputs=[parameters_groups_select_0204]
            )

            clear_button_0204a.click(
                fn=lambda :[[], []],
                outputs=[expression_donor_files, parameters_groups_select_0204]
            )

            migration_button_0204a.click(
                fn=multipleExpressionsParametersMigration,
                inputs=[expression_donor_files, parameters_groups_select_0204, expression_data_temp_list_state, parameters_groups_data_dict_state, parameters_groups_data_df_state],
                outputs=[expression_data_temp_list_state]
            )

            overlay_button_0204a.click(
                fn=multipleExpressionsParametersOverlay,
                inputs=[expression_donor_files, parameters_groups_select_0204, expression_data_temp_list_state, parameters_groups_data_dict_state, parameters_groups_data_df_state],
                outputs=[expression_data_temp_list_state]
            )

            use_button_0204.click(
                fn=updateParametersGroupsDataByCdiFile,
                inputs=[parameters_groups_data_update_file_0204],
                outputs=[parameters_groups_data_dict_state, parameters_groups_data_df_state]
            )

            back_button_0204b.click(
                fn=lambda lst: lst[:-1],
                inputs=[expression_data_temp_list_state],
                outputs=[expression_data_temp_list_state]
            )

            clear_button_0204b.click(
                fn=expressionDataTempListAppendEmptyExpressionsDict,
                inputs=[expression_data_temp_list_state],
                outputs=[expression_data_temp_list_state]
            )

            save_button_0204b.click(
                fn=saveButton0204bClick,
                inputs=[expression_data_temp_list_state],
                outputs=[output_file_0204]
            )

            expression_data_temp_list_state.change(
                fn=expressionDataTempListStateChange,
                inputs=[expression_data_temp_list_state],
                outputs=[expression_data_temp_preview_json, back_button_0204b]
            )

        ## ???
        parameters_groups_data_df_state.change(
            fn=lambda df: (gr.Dropdown(choices=df["text"].to_list()), gr.Dropdown(choices=df["text"].to_list())),
            inputs=[parameters_groups_data_df_state],
            outputs=[parameters_groups_select_0203, parameters_groups_select_0204]
        )

                    

                    


    demo.launch()