[feature] 修复完整的文件持久化模块，修复add/del的bug

app.py

@@ -105,6 +105,10 @@ class MainWindow(QWidget):
             selected_param_name, selected_project_name = self.widget_card.get_selected_param_name()
             logger.info(f"selected_param_name: {selected_param_name}, selected_project_name: {selected_project_name}")
 
+            #to do: 后续需要封装接口
+            self.data_manager._store.current_project = selected_project_name
+            self.data_manager._store.current_paramter_name = selected_param_name
+
             if not selected_param_name or not selected_project_name:
                 logger.warning("未选择参数或项目")
                 return
@@ -164,8 +168,6 @@ class MainWindow(QWidget):
             for project_name in projects:
                 # 从数据管理器获取项目数据
                 project_data = self.data_manager.get_project(project_name)
-                #to do:目前支持一个项目
-                self.data_manager._store.current_project = project_name
                 if not project_data:
                     logger.warning(f"无法加载项目: {project_name}")
                     continue

component/widget_filter/audio_filter_componet.py

@@ -17,11 +17,10 @@ sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
 
 from typing import List, Dict, Optional, Any
 
-from component.widget_filter.Ui_widget_origin import Ui_Widget
+from component.widget_filter.Ui_widget import Ui_Widget
 from component.widget_filter.checkbox_header import SCheckBoxHeaderView
 from component.widget_filter.audio_filter_model import AudioFilterModel, FilterParams, FilterType
 # from component.widget_filter.Ui_widget_origin import Ui_Widget
-from component.widget_filter.Ui_widget import Ui_Widget
 import component.widget_filter.resources
 
 # from Ui_widget import Ui_Widget
@@ -163,6 +162,7 @@ class AudioFilterWidget(QWidget):
     filter_enabled_changed = Signal(int, bool) # (filter_index, enabled)
     send_params_clicked = Signal()            # 发送参数按钮被点击
     get_params_clicked = Signal()             # 获取参数按钮被点击
+    lineedit_changed = Signal()
 
     def __init__(self, parent=None):
         super().__init__(parent)
@@ -395,7 +395,7 @@ class AudioFilterWidget(QWidget):
         if mix_left_key in params:
             self.ui.lineEdit_12.setText(str(params[mix_left_key]))
 
-    def _parse_filter_params(self, params: Dict[str, Any]) -> Dict[int, Dict[str, Any]]:
+    def _parse_filter_params_old(self, params: Dict[str, Any]) -> Dict[int, Dict[str, Any]]:
         """解析滤波器参数"""
         filter_params = {}
         for key in params:
@@ -413,6 +413,35 @@ class AudioFilterWidget(QWidget):
                 filter_params[filter_num][param_type] = params[key]
         return filter_params
 
+    def _parse_filter_params(self, params: Dict[str, Any]) -> Dict[int, Dict[str, Any]]:
+        """解析滤波器参数"""
+        filter_params = {}
+        for key in params:
+            # 检查是否是滤波器参数
+            if any(key.startswith(prefix) for prefix in [
+                f'fc{self.channel_id}_',
+                f'q{self.channel_id}_',
+                f'gain{self.channel_id}_',
+                f'slope{self.channel_id}_',
+                f'filterType{self.channel_id}_',
+                f'enable{self.channel_id}_',
+                f'name{self.channel_id}_'
+            ]):
+                filter_num = int(key.split('_')[-1])
+                if filter_num not in filter_params:
+                    filter_params[filter_num] = {}
+
+                # 提取参数类型（移除channel_id和filter_num）
+                if f'enable{self.channel_id}_' in key:
+                    filter_params[filter_num]['enable'] = params[key]
+                elif f'name{self.channel_id}_' in key:
+                    filter_params[filter_num]['name'] = params[key]
+                else:
+                    param_type = key.split('_')[0][:-len(str(self.channel_id))]
+                    filter_params[filter_num][param_type] = params[key]
+
+        return filter_params
+
     def _adjust_table_rows(self, required_rows: int):
         """调整表格行数"""
         current_rows = self.ui.tableWidget.rowCount()
@@ -424,7 +453,8 @@ class AudioFilterWidget(QWidget):
         
         # 添加需要的行
         while current_rows < required_rows:
-            self._on_add_filter_clicked()
+            # self._on_add_filter_clicked()
+            self._on_add_filter_clicked_no_model_data()
             current_rows += 1
 
     def _update_filter_params(self, filter_params: Dict[int, Dict[str, Any]]):
@@ -436,10 +466,24 @@ class AudioFilterWidget(QWidget):
             if not self.ui.tableWidget.cellWidget(row, 0):
                 self._create_checkbox(row)
             
+            # 更新复选框状态
+            container = self.ui.tableWidget.cellWidget(row, 0)
+            if container and 'enable' in filter_data:
+                checkbox = container.layout().itemAt(0).widget()
+                if isinstance(checkbox, QCheckBox):
+                    print(f"filter_data_enable:{filter_data['enable']}")
+                    checkbox.setChecked(filter_data['enable'])
+            
             # 更新或创建下拉框
             if not self.ui.tableWidget.cellWidget(row, 2):
                 self._create_combobox(row)
             
+            # 更新滤波器名称
+            if 'name' in filter_data:
+                name_item = QTableWidgetItem(str(filter_data['name']))
+                name_item.setTextAlignment(Qt.AlignCenter)
+                self.ui.tableWidget.setItem(row, 1, name_item)
+            
             # 更新滤波器类型
             if 'filterType' in filter_data:
                 combo = self.ui.tableWidget.cellWidget(row, 2)
@@ -513,17 +557,17 @@ class AudioFilterWidget(QWidget):
         )
         
         # 参数输入框变化
-        self.ui.lineEdit_11.textChanged.connect(
+        self.ui.lineEdit_11.editingFinished.connect(
-            lambda v: self._on_param_changed('delay', v)
+            lambda : self._on_param_changed('delay')
         )
-        self.ui.lineEdit_10.textChanged.connect(
+        self.ui.lineEdit_10.editingFinished.connect(
-            lambda v: self._on_param_changed('volume', v)
+            lambda : self._on_param_changed('volume')
         )
-        self.ui.lineEdit_13.textChanged.connect(
+        self.ui.lineEdit_13.editingFinished.connect(
-            lambda v: self._on_param_changed('mix_right', v)
+            lambda : self._on_param_changed('mix_right')
         )
-        self.ui.lineEdit_12.textChanged.connect(
+        self.ui.lineEdit_12.editingFinished.connect(
-            lambda v: self._on_param_changed('mix_left', v)
+            lambda : self._on_param_changed('mix_left')
         )
         
         # 按钮点击
@@ -541,10 +585,10 @@ class AudioFilterWidget(QWidget):
         """安全地断开所有UI信号连接"""
         # 断开参数输入框信号
         try:
-            self.ui.lineEdit_11.textChanged.disconnect()
+            self.ui.lineEdit_11.editingFinished.disconnect()
-            self.ui.lineEdit_10.textChanged.disconnect()
+            self.ui.lineEdit_10.editingFinished.disconnect()
-            self.ui.lineEdit_13.textChanged.disconnect()
+            self.ui.lineEdit_13.editingFinished.disconnect()
-            self.ui.lineEdit_12.textChanged.disconnect()
+            self.ui.lineEdit_12.editingFinished.disconnect()
         except TypeError:
             # 信号可能未连接，忽略错误
             pass
@@ -576,17 +620,17 @@ class AudioFilterWidget(QWidget):
     def connect_param_signals(self):
         """重新连接所有UI信号"""
         # 连接参数输入框信号
-        self.ui.lineEdit_11.textChanged.connect(
+        self.ui.lineEdit_11.editingFinished.connect(
-            lambda v: self._on_param_changed('delay', v)
+            lambda: self._on_param_changed('delay')
         )
-        self.ui.lineEdit_10.textChanged.connect(
+        self.ui.lineEdit_10.editingFinished.connect(
-            lambda v: self._on_param_changed('volume', v)
+            lambda: self._on_param_changed('volume')
         )
-        self.ui.lineEdit_13.textChanged.connect(
+        self.ui.lineEdit_13.editingFinished.connect(
-            lambda v: self._on_param_changed('mix_right', v)
+            lambda: self._on_param_changed('mix_right')
         )
-        self.ui.lineEdit_12.textChanged.connect(
+        self.ui.lineEdit_12.editingFinished.connect(
-            lambda v: self._on_param_changed('mix_left', v)
+            lambda: self._on_param_changed('mix_left')
         )
 
         # 连接滑块信号
@@ -679,7 +723,7 @@ class AudioFilterWidget(QWidget):
                     
                 self.model.update_filter(self.current_filter_index, filter_params)
 
-    def _on_param_changed(self, param: str, value: str):
+    def _on_param_changed(self, param: str):
         """处理参数值变化"""
         if hasattr(self, 'model'):
             try:
@@ -687,15 +731,16 @@ class AudioFilterWidget(QWidget):
                 # 更新model中的通道参数
                 channel_params = self.model.channel_params
                 if param == 'delay':
-                    channel_params.delay = value
+                    channel_params.delay = self.ui.lineEdit_11.text()
                 elif param == 'volume':
-                    channel_params.volume = value
+                    channel_params.volume = self.ui.lineEdit_10.text()
                 elif param == 'mix_right':
-                    channel_params.mix_right = value
+                    channel_params.mix_right = self.ui.lineEdit_13.text()
                 elif param == 'mix_left':
-                    channel_params.mix_left = value
+                    channel_params.mix_left = self.ui.lineEdit_12.text()
                     
                 self.model.set_channel_params(channel_params)
+                self.lineedit_changed.emit()
             except ValueError:
                 pass
 
@@ -791,6 +836,38 @@ class AudioFilterWidget(QWidget):
             self.ui.groupBox_4.setTitle("")
             self.current_filter_index = -1
 
+    def _on_add_filter_clicked_no_model_data(self):
+        """处理添加滤波器按钮点击
+            ****不更新model中的数据
+        """
+        # 增加行
+        row = self.ui.tableWidget.rowCount()
+        self.ui.tableWidget.setRowCount(row + 1)
+        self.filter_count += 1
+
+        # 创建类型选择下拉框
+        combo = QComboBox()
+        combo.addItems(self.filter_types)
+        combo.currentTextChanged.connect(lambda text: self._on_filter_type_changed(row, text))
+        self.ui.tableWidget.setCellWidget(row, 2, combo)
+
+        # 创建新的滤波器项，使用唯一的默认名称
+        filter_data = {
+            'filter_name': f"Filter_{row}",  # 使用行号创建唯一名称
+            'filter_type': self.filter_types[0],
+            'enable': True,
+            'freq': 0,
+            'q': 0,
+            'gain': 0,
+            'slope': 0
+        }
+
+        # 更新表格
+        self._update_table_row(row, filter_data)
+
+        # 发送信号
+        # self.filter_added.emit(self.filter_types[0])
+
     def _on_add_filter_clicked(self):
         """处理添加滤波器按钮点击
             同时更新model中的数据
@@ -810,7 +887,7 @@ class AudioFilterWidget(QWidget):
         filter_data = {
             'filter_name': f"Filter_{row}",  # 使用行号创建唯一名称
             'filter_type': self.filter_types[0],
-            'enabled': True,
+            'enable': True,
             'freq': 0,
             'q': 0,
             'gain': 0,
@@ -828,7 +905,7 @@ class AudioFilterWidget(QWidget):
                 q_value=float(filter_data['q']),
                 gain=float(filter_data['gain']),
                 slope=float(filter_data['slope']),
-                enabled=filter_data['enabled']
+                enable=filter_data['enable']
             )
             
             self.model.add_filter(filter_params)
@@ -851,9 +928,10 @@ class AudioFilterWidget(QWidget):
     def _on_delete_filter_clicked(self):
         """处理删除滤波器按钮点击"""
         if self.current_filter_index >= 0:
+            self.filter_deleted.emit(self.current_filter_index)
             self.ui.tableWidget.removeRow(self.current_filter_index)
             self.filter_count -= 1
-            self.filter_deleted.emit(self.current_filter_index)
+
 
             # 重置当前选择
             if self.filter_count == 0:
@@ -940,7 +1018,7 @@ class AudioFilterWidget(QWidget):
         if hasattr(self, 'model'):
             # 更新model中的滤波器启用状态
             filter_params = self.model.filters[row]
-            filter_params.enabled = checked
+            filter_params.enable = checked
             self.model.update_filter(row, filter_params)
             
         self.filter_enabled_changed.emit(row, checked)
@@ -973,7 +1051,7 @@ class AudioFilterWidget(QWidget):
         layout.setContentsMargins(0, 0, 0, 0)
         layout.setAlignment(Qt.AlignCenter)
         checkbox = QCheckBox()
-        checkbox.setChecked(data.get('enabled', True))
+        checkbox.setChecked(data.get('enable', True))
 
         # 添加复选框样式
         checkbox_style = """

component/widget_filter/audio_filter_config.py

@@ -11,7 +11,7 @@ class FilterPreset:
     q: float
     gain: float
     slope: float
-    enabled: bool = True
+    enable: bool = True
 
 class AudioFilterConfig:
     def __init__(self, config_path: str = None):

component/widget_filter/audio_filter_controller.py

@@ -3,7 +3,7 @@ from PySide6.QtCore import QTimer
 from typing import Dict, Any, Optional
 from dataclasses import dataclass
 from enum import Enum, auto
-
+import csv
 import sys
 import time
 import os
@@ -136,7 +136,9 @@ class AudioFilterController(QObject):
                     frequency=filter_data.get('frequency', 0.0) or filter_data.get('fc', 0.0),
                     q_value=filter_data.get('q', 0.0),
                     gain=filter_data.get('gain', 0.0),
-                    slope=filter_data.get('slope', 0.0)
+                    slope=filter_data.get('slope', 0.0),
+                    enable = filter_data.get('enable', True),
+                    name = filter_data.get('name', None)
                 )
                 self.model.filters.append(filter_params)
             
@@ -179,10 +181,11 @@ class AudioFilterController(QObject):
             # pass
             # to do:后续看情况调整是否需要单独下发调整的滤波器数据
             self.widget.filter_changed.connect(self._on_widget_filter_changed)
+            self.widget.lineedit_changed.connect(self._on_lineedit_changed)
             # self.widget.param_changed.connect(self._on_widget_param_changed)
-            # self.widget.filter_added.connect(self._on_widget_filter_added)
+            self.widget.filter_added.connect(self._on_widget_filter_added)
-            # self.widget.filter_deleted.connect(self._on_widget_filter_deleted)
+            self.widget.filter_deleted.connect(self._on_widget_filter_deleted)
-            # self.widget.filter_enabled_changed.connect(self._on_widget_filter_enabled_changed)
+            self.widget.filter_enabled_changed.connect(self._on_widget_filter_enabled_changed)
             
 
     def _convert_struct_data_to_model(self, struct_data: Dict[str, Any]) -> Dict[str, Any]:
@@ -332,27 +335,47 @@ class AudioFilterController(QObject):
         try:
             self.state = AudioControllerState.UPDATING
             params = self.model.get_all_data()
-            struct_params = self._convert_model_data_to_struct(params)
             
             # 准备所有参数
-            channel_id = self.model.channel_id
+            channel_id = params['channel_id']
             all_params = {}
             
             # 1. 添加基础参数
             base_params = {
                 f'tuning_parameters.mix_parameters[{channel_id}].ch_n': channel_id + 1,
-                f'tuning_parameters.mix_parameters[{channel_id}].mix_left_data': struct_params[f'tuning_parameters.mix_parameters[{channel_id}].mix_left_data'],
+                f'tuning_parameters.mix_parameters[{channel_id}].mix_left_data': params['channel_params']['mix_left'],
-                f'tuning_parameters.mix_parameters[{channel_id}].mix_right_data': struct_params[f'tuning_parameters.mix_parameters[{channel_id}].mix_right_data'],
+                f'tuning_parameters.mix_parameters[{channel_id}].mix_right_data': params['channel_params']['mix_right'],
                 f'tuning_parameters.delay_parameters[{channel_id}].ch_n': channel_id + 1,
-                f'tuning_parameters.delay_parameters[{channel_id}].delay_data': struct_params[f'tuning_parameters.delay_parameters[{channel_id}].delay_data'],
+                f'tuning_parameters.delay_parameters[{channel_id}].delay_data': params['channel_params']['delay'],
                 f'tuning_parameters.volume_parameters[{channel_id}].ch_n': channel_id + 1,
-                f'tuning_parameters.volume_parameters[{channel_id}].vol_data': struct_params[f'tuning_parameters.volume_parameters[{channel_id}].vol_data']
+                f'tuning_parameters.volume_parameters[{channel_id}].vol_data': params['channel_params']['volume']
             }
             all_params.update(base_params)
             
-            # 2. 添加所有滤波器参数
+            # 2. 添加所有滤波器参数（包括未使用的滤波器位置）
-            filter_params = {k: v for k, v in struct_params.items() if 'eq_parameters' in k}
+            base_idx = channel_id * 20
-            all_params.update(filter_params)
+            for i in range(20):  # 每个通道固定20个滤波器位置
+                idx = base_idx + i
+                
+                # 如果有滤波器数据且enable为True就使用，否则用默认值0
+                if i < len(params['filters']) and params['filters'][i]['enable']:
+                    filter_data = params['filters'][i]
+                    all_params.update({
+                        f'tuning_parameters.eq_parameters[{idx}].fc': filter_data['frequency'],
+                        f'tuning_parameters.eq_parameters[{idx}].q': filter_data['q_value'],
+                        f'tuning_parameters.eq_parameters[{idx}].gain': filter_data['gain'],
+                        f'tuning_parameters.eq_parameters[{idx}].slope': filter_data['slope'],
+                        f'tuning_parameters.eq_parameters[{idx}].filterType': filter_data['filter_type'].value
+                    })
+                else:
+                    # 未使用或禁用的滤波器位置填充默认值0
+                    all_params.update({
+                        f'tuning_parameters.eq_parameters[{idx}].fc': 0.0,
+                        f'tuning_parameters.eq_parameters[{idx}].q': 0.0,
+                        f'tuning_parameters.eq_parameters[{idx}].gain': 0.0,
+                        f'tuning_parameters.eq_parameters[{idx}].slope': 0.0,
+                        f'tuning_parameters.eq_parameters[{idx}].filterType': 0
+                    })
             
             # 3. 一次性发送所有参数
             ServiceManager.instance().params_service.set_params(
@@ -454,6 +477,10 @@ class AudioFilterController(QObject):
 
 
 #########################################################################################
+    #line Edit 信号处理器
+    def _on_lineedit_changed(self):
+        self._sync_to_csv()
+
     # Widget信号处理器
     def _on_widget_filter_changed(self, index: int, param_name: str, value: float):
         """处理widget滤波器参数变化"""
@@ -481,7 +508,6 @@ class AudioFilterController(QObject):
             current_project = data_store_manager.current_project
             current_param = data_store_manager.current_param
 
-            
             # 如果仍然没有当前项目或参数，则不进行同步
             if not current_project or not current_param:
                 return
@@ -507,16 +533,91 @@ class AudioFilterController(QObject):
                     'q': filter_param['q_value'],
                     'gain': filter_param['gain'],
                     'slope': filter_param['slope'],
-                    'filterType': filter_param['filter_type'].value
+                    'filterType': filter_param['filter_type'].value,
+                    'enable': filter_param['enable'],
+                    'name': filter_param['name']
                 }
                 channel_data[channel_id]['filters'].append(filter_data)
             
-            # 保存到CSV文件
+            # 保存到CSV文件 os.path.join(self.storage_dir, "params")
-            data_store_manager.save_param(current_project, current_param, channel_data)
+            # storage_dir/"current_project"_"current_paramter_name".csv
+            current_paramter_name = data_store_manager._store.current_paramter_name
+            path = os.path.join(data_store_manager._store.storage_dir, "params")
+            csv_path = os.path.join(path, f"{current_project}_{current_paramter_name}.csv")
+            self.save_param_to_csv(csv_path, channel_data)
+            # data_store_manager.save_param(current_project, current_param, channel_data)
             
         except Exception as e:
             self.error_occurred.emit(f"同步到CSV文件时发生错误: {str(e)}")
     
+    # to do：后续该接口需要放入data_store_manager中
+    def save_param_to_csv(self, csv_path, channel_data):
+        """保存参数到CSV文件"""
+        try:
+            # 读取现有CSV数据
+            param_data = {}
+            with open(csv_path, 'r', newline='') as csvfile:
+                reader = csv.DictReader(csvfile)
+                for row in reader:
+                    param_data[row['parameter']] = row['value']
+            
+            # 获取当前通道ID
+            channel_id = self.model.channel_id
+
+            param_data[f'dataset.tuning_parameters.mix_parameters[{channel_id}].mix_left_data'] = str(channel_data[channel_id]['mix_left_data'])
+            param_data[f'dataset.tuning_parameters.mix_parameters[{channel_id}].mix_right_data'] = str(channel_data[channel_id]['mix_right_data'])
+
+            param_data[f'dataset.tuning_parameters.delay_parameters[{channel_id}].delay_data'] = str(channel_data[channel_id]['delay_data'])
+
+            param_data[f'dataset.tuning_parameters.volume_parameters[{channel_id}].vol_data'] = str(channel_data[channel_id]['vol_data'])
+            
+            base_idx = channel_id * 20  # 每个通道20个均衡器
+            
+            # 如果没有滤波器数据，将所有20个滤波器位置都设置为0
+            if not channel_data[channel_id]['filters']:
+                for i in range(20):
+                    idx = base_idx + i
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].fc'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].q'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].gain'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].slope'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].filterType'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].enable'] = 'false'
+            else:
+                # 有滤波器数据时的原有逻辑
+                for i, filter_data in enumerate(channel_data[channel_id]['filters']):
+                    idx = base_idx + i
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].fc'] = str(filter_data['fc'])
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].q'] = str(filter_data['q'])
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].gain'] = str(filter_data['gain'])
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].slope'] = str(filter_data['slope'])
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].filterType'] = str(filter_data['filterType'])
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].enable'] = str(filter_data['enable'])
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].name'] = str(filter_data['name'])
+
+                # 将剩余未使用的滤波器位置设置为0
+                for i in range(len(channel_data[channel_id]['filters']), 20):
+                    idx = base_idx + i
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].fc'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].q'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].gain'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].slope'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].filterType'] = '0'
+                    param_data[f'dataset.tuning_parameters.eq_parameters[{idx}].enable'] = 'false'
+            
+            # 将更新后的数据写回CSV文件
+            with open(csv_path, 'w', newline='') as csvfile:
+                writer = csv.DictWriter(csvfile, fieldnames=['parameter', 'value'])
+                writer.writeheader()
+                for parameter, value in param_data.items():
+                    writer.writerow({'parameter': parameter, 'value': value})
+                
+        except Exception as e:
+            print(f"保存参数到CSV文件时发生错误: {str(e)}")
+            self.error_occurred.emit(f"保存参数到CSV文件时发生错误: {str(e)}")
+            
+            
+
     # def _on_widget_param_changed(self, param_name: str, value: float):
     #     """处理widget通道参数变化"""
     #     try:
@@ -527,36 +628,38 @@ class AudioFilterController(QObject):
     #     except Exception as e:
     #         self.error_occurred.emit(f"Error updating channel params: {str(e)}")
 
-    # def _on_widget_filter_added(self, filter_type: str):
+    def _on_widget_filter_added(self, filter_type: str):
-    #     """处理widget添加滤波器"""
+        """处理widget添加滤波器"""
-    #     try:
+        try:
-    #         filter_params = FilterParams(
+            filter_params = FilterParams(
-    #             filter_type=FilterType[filter_type],
+                filter_type=FilterType[filter_type],
-    #             frequency=0.0,
+                frequency=0.0,
-    #             q_value=0.0,
+                q_value=0.0,
-    #             gain=0.0,
+                gain=0.0,
-    #             slope=0.0
+                slope=0.0
-    #         )
+            )
-    #         self.model.add_filter(filter_params)
+            self.model.add_filter(filter_params)
-    #     except Exception as e:
+        except Exception as e:
-    #         self.error_occurred.emit(f"Error adding filter: {str(e)}")
+            self.error_occurred.emit(f"Error adding filter: {str(e)}")
 
-    # def _on_widget_filter_deleted(self, index: int):
+    def _on_widget_filter_deleted(self, index: int):
-    #     """处理widget删除滤波器"""
+        """处理widget删除滤波器"""
-    #     try:
+        try:
-    #         self.model.remove_filter(index)
+            self.model.remove_filter(index)
-    #     except Exception as e:
+            self._sync_to_csv()
-    #         self.error_occurred.emit(f"Error removing filter: {str(e)}")
+        except Exception as e:
+            self.error_occurred.emit(f"Error removing filter: {str(e)}")
 
-    # def _on_widget_filter_enabled_changed(self, index: int, enabled: bool):
+    def _on_widget_filter_enabled_changed(self, index: int, enabled: bool):
-    #     """处理widget滤波器启用状态变化"""
+        """处理widget滤波器启用状态变化"""
-    #     try:
+        try:
-    #         filter_params = self.model.get_filter(index)
+            filter_params = self.model.get_filter(index)
-    #         if filter_params:
+            if filter_params:
-    #             filter_params.enabled = enabled
+                filter_params.enabled = enabled
-    #             self.model.update_filter(index, filter_params)
+                self.model.update_filter(index, filter_params)
-    #     except Exception as e:
+            self._sync_to_csv()
-    #         self.error_occurred.emit(f"Error updating filter state: {str(e)}")
+        except Exception as e:
+            self.error_occurred.emit(f"Error updating filter state: {str(e)}")
 ##########################################################################################
 
 

component/widget_filter/audio_filter_model.py

@@ -18,7 +18,8 @@ class FilterParams:
     q_value: float
     gain: float
     slope: float
-    enabled: bool = True
+    enable: bool = True
+    name: Optional[str] = None
 
     def to_dict(self, channel_id: int, filter_num: int) -> Dict[str, Any]:
         """转换为与组件兼容的字典格式"""
@@ -27,7 +28,9 @@ class FilterParams:
             f'fc{channel_id}_{filter_num}': self.frequency,
             f'q{channel_id}_{filter_num}': self.q_value,
             f'gain{channel_id}_{filter_num}': self.gain,
-            f'slope{channel_id}_{filter_num}': self.slope
+            f'slope{channel_id}_{filter_num}': self.slope,
+            f'enable{channel_id}_{filter_num}': self.enable,
+            f'name{channel_id}_{filter_num}': self.name
         }
 
     @classmethod
@@ -200,12 +203,12 @@ class AudioFilterModel(QObject):
     def is_filter_enabled(self, index: int) -> bool:
         """检查指定滤波器是否启用"""
         if 0 <= index < len(self.filters):
-            return self.filters[index].enabled
+            return self.filters[index].enable
         return False
 
     def get_enabled_filters(self) -> List[FilterParams]:
         """获取所有启用的滤波器"""
-        return [f for f in self.filters if f.enabled]
+        return [f for f in self.filters if f.enable]
 
     def get_widget_params(self) -> Dict[str, Any]:
         """获取用于widget的参数格式（与to_widget_params相同）"""

data/projects/params/aaa_abc.csv

@@ -19,606 +19,846 @@ dataset.tuning_parameters.mix_parameters[4].mix_right_data,0.0
 dataset.tuning_parameters.mix_parameters[5].ch_n,5
 dataset.tuning_parameters.mix_parameters[5].mix_left_data,0.0
 dataset.tuning_parameters.mix_parameters[5].mix_right_data,0.0
-dataset.tuning_parameters.eq_parameters[0].fc,10.0
+dataset.tuning_parameters.eq_parameters[0].fc,10
-dataset.tuning_parameters.eq_parameters[0].q,10.0
+dataset.tuning_parameters.eq_parameters[0].q,10
 dataset.tuning_parameters.eq_parameters[0].gain,10.0
 dataset.tuning_parameters.eq_parameters[0].slope,10.0
 dataset.tuning_parameters.eq_parameters[0].filterType,0
-dataset.tuning_parameters.eq_parameters[1].fc,0.0
+dataset.tuning_parameters.eq_parameters[0].enable,True
-dataset.tuning_parameters.eq_parameters[1].q,0.0
+dataset.tuning_parameters.eq_parameters[0].name,name_0
-dataset.tuning_parameters.eq_parameters[1].gain,0.0
+dataset.tuning_parameters.eq_parameters[1].fc,0
+dataset.tuning_parameters.eq_parameters[1].q,0
+dataset.tuning_parameters.eq_parameters[1].gain,0
 dataset.tuning_parameters.eq_parameters[1].slope,0
 dataset.tuning_parameters.eq_parameters[1].filterType,0
-dataset.tuning_parameters.eq_parameters[2].fc,0.0
+dataset.tuning_parameters.eq_parameters[1].enable,false
-dataset.tuning_parameters.eq_parameters[2].q,0.0
+dataset.tuning_parameters.eq_parameters[1].name,None
-dataset.tuning_parameters.eq_parameters[2].gain,0.0
+dataset.tuning_parameters.eq_parameters[2].fc,0
+dataset.tuning_parameters.eq_parameters[2].q,0
+dataset.tuning_parameters.eq_parameters[2].gain,0
 dataset.tuning_parameters.eq_parameters[2].slope,0
 dataset.tuning_parameters.eq_parameters[2].filterType,0
-dataset.tuning_parameters.eq_parameters[3].fc,0.0
+dataset.tuning_parameters.eq_parameters[2].enable,false
-dataset.tuning_parameters.eq_parameters[3].q,0.0
+dataset.tuning_parameters.eq_parameters[2].name,name_2
-dataset.tuning_parameters.eq_parameters[3].gain,0.0
+dataset.tuning_parameters.eq_parameters[3].fc,0
+dataset.tuning_parameters.eq_parameters[3].q,0
+dataset.tuning_parameters.eq_parameters[3].gain,0
 dataset.tuning_parameters.eq_parameters[3].slope,0
 dataset.tuning_parameters.eq_parameters[3].filterType,0
-dataset.tuning_parameters.eq_parameters[4].fc,0.0
+dataset.tuning_parameters.eq_parameters[3].enable,false
-dataset.tuning_parameters.eq_parameters[4].q,0.0
+dataset.tuning_parameters.eq_parameters[3].name,name_3
-dataset.tuning_parameters.eq_parameters[4].gain,0.0
+dataset.tuning_parameters.eq_parameters[4].fc,0
+dataset.tuning_parameters.eq_parameters[4].q,0
+dataset.tuning_parameters.eq_parameters[4].gain,0
 dataset.tuning_parameters.eq_parameters[4].slope,0
 dataset.tuning_parameters.eq_parameters[4].filterType,0
-dataset.tuning_parameters.eq_parameters[5].fc,0.0
+dataset.tuning_parameters.eq_parameters[4].enable,false
-dataset.tuning_parameters.eq_parameters[5].q,0.0
+dataset.tuning_parameters.eq_parameters[4].name,name_4
-dataset.tuning_parameters.eq_parameters[5].gain,0.0
+dataset.tuning_parameters.eq_parameters[5].fc,0
+dataset.tuning_parameters.eq_parameters[5].q,0
+dataset.tuning_parameters.eq_parameters[5].gain,0
 dataset.tuning_parameters.eq_parameters[5].slope,0
 dataset.tuning_parameters.eq_parameters[5].filterType,0
-dataset.tuning_parameters.eq_parameters[6].fc,0.0
+dataset.tuning_parameters.eq_parameters[5].enable,false
-dataset.tuning_parameters.eq_parameters[6].q,0.0
+dataset.tuning_parameters.eq_parameters[5].name,name_5
-dataset.tuning_parameters.eq_parameters[6].gain,0.0
+dataset.tuning_parameters.eq_parameters[6].fc,0
+dataset.tuning_parameters.eq_parameters[6].q,0
+dataset.tuning_parameters.eq_parameters[6].gain,0
 dataset.tuning_parameters.eq_parameters[6].slope,0
 dataset.tuning_parameters.eq_parameters[6].filterType,0
-dataset.tuning_parameters.eq_parameters[7].fc,0.0
+dataset.tuning_parameters.eq_parameters[6].enable,false
-dataset.tuning_parameters.eq_parameters[7].q,0.0
+dataset.tuning_parameters.eq_parameters[6].name,name_6
-dataset.tuning_parameters.eq_parameters[7].gain,0.0
+dataset.tuning_parameters.eq_parameters[7].fc,0
+dataset.tuning_parameters.eq_parameters[7].q,0
+dataset.tuning_parameters.eq_parameters[7].gain,0
 dataset.tuning_parameters.eq_parameters[7].slope,0
 dataset.tuning_parameters.eq_parameters[7].filterType,0
-dataset.tuning_parameters.eq_parameters[8].fc,0.0
+dataset.tuning_parameters.eq_parameters[7].enable,false
-dataset.tuning_parameters.eq_parameters[8].q,0.0
+dataset.tuning_parameters.eq_parameters[7].name,name_7
-dataset.tuning_parameters.eq_parameters[8].gain,0.0
+dataset.tuning_parameters.eq_parameters[8].fc,0
+dataset.tuning_parameters.eq_parameters[8].q,0
+dataset.tuning_parameters.eq_parameters[8].gain,0
 dataset.tuning_parameters.eq_parameters[8].slope,0
 dataset.tuning_parameters.eq_parameters[8].filterType,0
-dataset.tuning_parameters.eq_parameters[9].fc,0.0
+dataset.tuning_parameters.eq_parameters[8].enable,false
-dataset.tuning_parameters.eq_parameters[9].q,0.0
+dataset.tuning_parameters.eq_parameters[8].name,name_8
-dataset.tuning_parameters.eq_parameters[9].gain,0.0
+dataset.tuning_parameters.eq_parameters[9].fc,0
+dataset.tuning_parameters.eq_parameters[9].q,0
+dataset.tuning_parameters.eq_parameters[9].gain,0
 dataset.tuning_parameters.eq_parameters[9].slope,0
 dataset.tuning_parameters.eq_parameters[9].filterType,0
-dataset.tuning_parameters.eq_parameters[10].fc,0.0
+dataset.tuning_parameters.eq_parameters[9].enable,false
-dataset.tuning_parameters.eq_parameters[10].q,0.0
+dataset.tuning_parameters.eq_parameters[9].name,name_9
-dataset.tuning_parameters.eq_parameters[10].gain,0.0
+dataset.tuning_parameters.eq_parameters[10].fc,0
+dataset.tuning_parameters.eq_parameters[10].q,0
+dataset.tuning_parameters.eq_parameters[10].gain,0
 dataset.tuning_parameters.eq_parameters[10].slope,0
 dataset.tuning_parameters.eq_parameters[10].filterType,0
-dataset.tuning_parameters.eq_parameters[11].fc,0.0
+dataset.tuning_parameters.eq_parameters[10].enable,false
-dataset.tuning_parameters.eq_parameters[11].q,0.0
+dataset.tuning_parameters.eq_parameters[10].name,name_10
-dataset.tuning_parameters.eq_parameters[11].gain,0.0
+dataset.tuning_parameters.eq_parameters[11].fc,0
+dataset.tuning_parameters.eq_parameters[11].q,0
+dataset.tuning_parameters.eq_parameters[11].gain,0
 dataset.tuning_parameters.eq_parameters[11].slope,0
 dataset.tuning_parameters.eq_parameters[11].filterType,0
-dataset.tuning_parameters.eq_parameters[12].fc,0.0
+dataset.tuning_parameters.eq_parameters[11].enable,false
-dataset.tuning_parameters.eq_parameters[12].q,0.0
+dataset.tuning_parameters.eq_parameters[11].name,name_11
-dataset.tuning_parameters.eq_parameters[12].gain,0.0
+dataset.tuning_parameters.eq_parameters[12].fc,0
+dataset.tuning_parameters.eq_parameters[12].q,0
+dataset.tuning_parameters.eq_parameters[12].gain,0
 dataset.tuning_parameters.eq_parameters[12].slope,0
 dataset.tuning_parameters.eq_parameters[12].filterType,0
-dataset.tuning_parameters.eq_parameters[13].fc,0.0
+dataset.tuning_parameters.eq_parameters[12].enable,false
-dataset.tuning_parameters.eq_parameters[13].q,0.0
+dataset.tuning_parameters.eq_parameters[12].name,name_12
-dataset.tuning_parameters.eq_parameters[13].gain,0.0
+dataset.tuning_parameters.eq_parameters[13].fc,0
+dataset.tuning_parameters.eq_parameters[13].q,0
+dataset.tuning_parameters.eq_parameters[13].gain,0
 dataset.tuning_parameters.eq_parameters[13].slope,0
 dataset.tuning_parameters.eq_parameters[13].filterType,0
-dataset.tuning_parameters.eq_parameters[14].fc,0.0
+dataset.tuning_parameters.eq_parameters[13].enable,false
-dataset.tuning_parameters.eq_parameters[14].q,0.0
+dataset.tuning_parameters.eq_parameters[13].name,name_13
-dataset.tuning_parameters.eq_parameters[14].gain,0.0
+dataset.tuning_parameters.eq_parameters[14].fc,0
+dataset.tuning_parameters.eq_parameters[14].q,0
+dataset.tuning_parameters.eq_parameters[14].gain,0
 dataset.tuning_parameters.eq_parameters[14].slope,0
 dataset.tuning_parameters.eq_parameters[14].filterType,0
-dataset.tuning_parameters.eq_parameters[15].fc,0.0
+dataset.tuning_parameters.eq_parameters[14].enable,false
-dataset.tuning_parameters.eq_parameters[15].q,0.0
+dataset.tuning_parameters.eq_parameters[14].name,name_14
-dataset.tuning_parameters.eq_parameters[15].gain,0.0
+dataset.tuning_parameters.eq_parameters[15].fc,0
+dataset.tuning_parameters.eq_parameters[15].q,0
+dataset.tuning_parameters.eq_parameters[15].gain,0
 dataset.tuning_parameters.eq_parameters[15].slope,0
 dataset.tuning_parameters.eq_parameters[15].filterType,0
-dataset.tuning_parameters.eq_parameters[16].fc,0.0
+dataset.tuning_parameters.eq_parameters[15].enable,false
-dataset.tuning_parameters.eq_parameters[16].q,0.0
+dataset.tuning_parameters.eq_parameters[15].name,name_15
-dataset.tuning_parameters.eq_parameters[16].gain,0.0
+dataset.tuning_parameters.eq_parameters[16].fc,0
+dataset.tuning_parameters.eq_parameters[16].q,0
+dataset.tuning_parameters.eq_parameters[16].gain,0
 dataset.tuning_parameters.eq_parameters[16].slope,0
 dataset.tuning_parameters.eq_parameters[16].filterType,0
-dataset.tuning_parameters.eq_parameters[17].fc,0.0
+dataset.tuning_parameters.eq_parameters[16].enable,false
-dataset.tuning_parameters.eq_parameters[17].q,0.0
+dataset.tuning_parameters.eq_parameters[16].name,name_16
-dataset.tuning_parameters.eq_parameters[17].gain,0.0
+dataset.tuning_parameters.eq_parameters[17].fc,0
+dataset.tuning_parameters.eq_parameters[17].q,0
+dataset.tuning_parameters.eq_parameters[17].gain,0
 dataset.tuning_parameters.eq_parameters[17].slope,0
 dataset.tuning_parameters.eq_parameters[17].filterType,0
-dataset.tuning_parameters.eq_parameters[18].fc,0.0
+dataset.tuning_parameters.eq_parameters[17].enable,false
-dataset.tuning_parameters.eq_parameters[18].q,0.0
+dataset.tuning_parameters.eq_parameters[17].name,name_17
-dataset.tuning_parameters.eq_parameters[18].gain,0.0
+dataset.tuning_parameters.eq_parameters[18].fc,0
+dataset.tuning_parameters.eq_parameters[18].q,0
+dataset.tuning_parameters.eq_parameters[18].gain,0
 dataset.tuning_parameters.eq_parameters[18].slope,0
 dataset.tuning_parameters.eq_parameters[18].filterType,0
-dataset.tuning_parameters.eq_parameters[19].fc,0.0
+dataset.tuning_parameters.eq_parameters[18].enable,false
-dataset.tuning_parameters.eq_parameters[19].q,0.0
+dataset.tuning_parameters.eq_parameters[18].name,name_18
-dataset.tuning_parameters.eq_parameters[19].gain,0.0
+dataset.tuning_parameters.eq_parameters[19].fc,0
+dataset.tuning_parameters.eq_parameters[19].q,0
+dataset.tuning_parameters.eq_parameters[19].gain,0
 dataset.tuning_parameters.eq_parameters[19].slope,0
 dataset.tuning_parameters.eq_parameters[19].filterType,0
+dataset.tuning_parameters.eq_parameters[19].enable,false
+dataset.tuning_parameters.eq_parameters[19].name,name_19
 dataset.tuning_parameters.eq_parameters[20].fc,0.0
 dataset.tuning_parameters.eq_parameters[20].q,0.0
 dataset.tuning_parameters.eq_parameters[20].gain,0.0
 dataset.tuning_parameters.eq_parameters[20].slope,0
 dataset.tuning_parameters.eq_parameters[20].filterType,0
+dataset.tuning_parameters.eq_parameters[20].enable,false
+dataset.tuning_parameters.eq_parameters[20].name,name_20
 dataset.tuning_parameters.eq_parameters[21].fc,0.0
 dataset.tuning_parameters.eq_parameters[21].q,0.0
 dataset.tuning_parameters.eq_parameters[21].gain,0.0
 dataset.tuning_parameters.eq_parameters[21].slope,0
 dataset.tuning_parameters.eq_parameters[21].filterType,0
+dataset.tuning_parameters.eq_parameters[21].enable,false
+dataset.tuning_parameters.eq_parameters[21].name,name_21
 dataset.tuning_parameters.eq_parameters[22].fc,0.0
 dataset.tuning_parameters.eq_parameters[22].q,0.0
 dataset.tuning_parameters.eq_parameters[22].gain,0.0
 dataset.tuning_parameters.eq_parameters[22].slope,0
 dataset.tuning_parameters.eq_parameters[22].filterType,0
+dataset.tuning_parameters.eq_parameters[22].enable,false
+dataset.tuning_parameters.eq_parameters[22].name,name_22
 dataset.tuning_parameters.eq_parameters[23].fc,0.0
 dataset.tuning_parameters.eq_parameters[23].q,0.0
 dataset.tuning_parameters.eq_parameters[23].gain,0.0
 dataset.tuning_parameters.eq_parameters[23].slope,0
 dataset.tuning_parameters.eq_parameters[23].filterType,0
+dataset.tuning_parameters.eq_parameters[23].enable,false
+dataset.tuning_parameters.eq_parameters[23].name,name_23
 dataset.tuning_parameters.eq_parameters[24].fc,0.0
 dataset.tuning_parameters.eq_parameters[24].q,0.0
 dataset.tuning_parameters.eq_parameters[24].gain,0.0
 dataset.tuning_parameters.eq_parameters[24].slope,0
 dataset.tuning_parameters.eq_parameters[24].filterType,0
+dataset.tuning_parameters.eq_parameters[24].enable,false
+dataset.tuning_parameters.eq_parameters[24].name,name_24
 dataset.tuning_parameters.eq_parameters[25].fc,0.0
 dataset.tuning_parameters.eq_parameters[25].q,0.0
 dataset.tuning_parameters.eq_parameters[25].gain,0.0
 dataset.tuning_parameters.eq_parameters[25].slope,0
 dataset.tuning_parameters.eq_parameters[25].filterType,0
+dataset.tuning_parameters.eq_parameters[25].enable,false
+dataset.tuning_parameters.eq_parameters[25].name,name_25
 dataset.tuning_parameters.eq_parameters[26].fc,0.0
 dataset.tuning_parameters.eq_parameters[26].q,0.0
 dataset.tuning_parameters.eq_parameters[26].gain,0.0
 dataset.tuning_parameters.eq_parameters[26].slope,0
 dataset.tuning_parameters.eq_parameters[26].filterType,0
+dataset.tuning_parameters.eq_parameters[26].enable,false
+dataset.tuning_parameters.eq_parameters[26].name,name_26
 dataset.tuning_parameters.eq_parameters[27].fc,0.0
 dataset.tuning_parameters.eq_parameters[27].q,0.0
 dataset.tuning_parameters.eq_parameters[27].gain,0.0
 dataset.tuning_parameters.eq_parameters[27].slope,0
 dataset.tuning_parameters.eq_parameters[27].filterType,0
+dataset.tuning_parameters.eq_parameters[27].enable,false
+dataset.tuning_parameters.eq_parameters[27].name,name_27
 dataset.tuning_parameters.eq_parameters[28].fc,0.0
 dataset.tuning_parameters.eq_parameters[28].q,0.0
 dataset.tuning_parameters.eq_parameters[28].gain,0.0
 dataset.tuning_parameters.eq_parameters[28].slope,0
 dataset.tuning_parameters.eq_parameters[28].filterType,0
+dataset.tuning_parameters.eq_parameters[28].enable,false
+dataset.tuning_parameters.eq_parameters[28].name,name_28
 dataset.tuning_parameters.eq_parameters[29].fc,0.0
 dataset.tuning_parameters.eq_parameters[29].q,0.0
 dataset.tuning_parameters.eq_parameters[29].gain,0.0
 dataset.tuning_parameters.eq_parameters[29].slope,0
 dataset.tuning_parameters.eq_parameters[29].filterType,0
+dataset.tuning_parameters.eq_parameters[29].enable,false
+dataset.tuning_parameters.eq_parameters[29].name,name_29
 dataset.tuning_parameters.eq_parameters[30].fc,0.0
 dataset.tuning_parameters.eq_parameters[30].q,0.0
 dataset.tuning_parameters.eq_parameters[30].gain,0.0
 dataset.tuning_parameters.eq_parameters[30].slope,0
 dataset.tuning_parameters.eq_parameters[30].filterType,0
+dataset.tuning_parameters.eq_parameters[30].enable,false
+dataset.tuning_parameters.eq_parameters[30].name,name_30
 dataset.tuning_parameters.eq_parameters[31].fc,0.0
 dataset.tuning_parameters.eq_parameters[31].q,0.0
 dataset.tuning_parameters.eq_parameters[31].gain,0.0
 dataset.tuning_parameters.eq_parameters[31].slope,0
 dataset.tuning_parameters.eq_parameters[31].filterType,0
+dataset.tuning_parameters.eq_parameters[31].enable,false
+dataset.tuning_parameters.eq_parameters[31].name,name_31
 dataset.tuning_parameters.eq_parameters[32].fc,0.0
 dataset.tuning_parameters.eq_parameters[32].q,0.0
 dataset.tuning_parameters.eq_parameters[32].gain,0.0
 dataset.tuning_parameters.eq_parameters[32].slope,0
 dataset.tuning_parameters.eq_parameters[32].filterType,0
+dataset.tuning_parameters.eq_parameters[32].enable,false
+dataset.tuning_parameters.eq_parameters[32].name,name_32
 dataset.tuning_parameters.eq_parameters[33].fc,0.0
 dataset.tuning_parameters.eq_parameters[33].q,0.0
 dataset.tuning_parameters.eq_parameters[33].gain,0.0
 dataset.tuning_parameters.eq_parameters[33].slope,0
 dataset.tuning_parameters.eq_parameters[33].filterType,0
+dataset.tuning_parameters.eq_parameters[33].enable,false
+dataset.tuning_parameters.eq_parameters[33].name,name_33
 dataset.tuning_parameters.eq_parameters[34].fc,0.0
 dataset.tuning_parameters.eq_parameters[34].q,0.0
 dataset.tuning_parameters.eq_parameters[34].gain,0.0
 dataset.tuning_parameters.eq_parameters[34].slope,0
 dataset.tuning_parameters.eq_parameters[34].filterType,0
+dataset.tuning_parameters.eq_parameters[34].enable,false
+dataset.tuning_parameters.eq_parameters[34].name,name_34
 dataset.tuning_parameters.eq_parameters[35].fc,0.0
 dataset.tuning_parameters.eq_parameters[35].q,0.0
 dataset.tuning_parameters.eq_parameters[35].gain,0.0
 dataset.tuning_parameters.eq_parameters[35].slope,0
 dataset.tuning_parameters.eq_parameters[35].filterType,0
+dataset.tuning_parameters.eq_parameters[35].enable,false
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 dataset.tuning_parameters.eq_parameters[95].q,0.0
 dataset.tuning_parameters.eq_parameters[95].gain,0.0
 dataset.tuning_parameters.eq_parameters[95].slope,0
 dataset.tuning_parameters.eq_parameters[95].filterType,0
+dataset.tuning_parameters.eq_parameters[95].enable,false
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 dataset.tuning_parameters.eq_parameters[96].slope,0
 dataset.tuning_parameters.eq_parameters[96].filterType,0
+dataset.tuning_parameters.eq_parameters[96].enable,false
+dataset.tuning_parameters.eq_parameters[96].name,name_96
 dataset.tuning_parameters.eq_parameters[97].fc,0.0
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 dataset.tuning_parameters.eq_parameters[97].gain,0.0
 dataset.tuning_parameters.eq_parameters[97].slope,0
 dataset.tuning_parameters.eq_parameters[97].filterType,0
+dataset.tuning_parameters.eq_parameters[97].enable,false
+dataset.tuning_parameters.eq_parameters[97].name,name_97
 dataset.tuning_parameters.eq_parameters[98].fc,0.0
 dataset.tuning_parameters.eq_parameters[98].q,0.0
 dataset.tuning_parameters.eq_parameters[98].gain,0.0
 dataset.tuning_parameters.eq_parameters[98].slope,0
 dataset.tuning_parameters.eq_parameters[98].filterType,0
+dataset.tuning_parameters.eq_parameters[98].enable,false
+dataset.tuning_parameters.eq_parameters[98].name,name_98
 dataset.tuning_parameters.eq_parameters[99].fc,0.0
 dataset.tuning_parameters.eq_parameters[99].q,0.0
 dataset.tuning_parameters.eq_parameters[99].gain,0.0
 dataset.tuning_parameters.eq_parameters[99].slope,0
 dataset.tuning_parameters.eq_parameters[99].filterType,0
+dataset.tuning_parameters.eq_parameters[99].enable,false
+dataset.tuning_parameters.eq_parameters[99].name,name_99
 dataset.tuning_parameters.eq_parameters[100].fc,0.0
 dataset.tuning_parameters.eq_parameters[100].q,0.0
 dataset.tuning_parameters.eq_parameters[100].gain,0.0
 dataset.tuning_parameters.eq_parameters[100].slope,0
 dataset.tuning_parameters.eq_parameters[100].filterType,0
+dataset.tuning_parameters.eq_parameters[100].enable,false
+dataset.tuning_parameters.eq_parameters[100].name,name_100
 dataset.tuning_parameters.eq_parameters[101].fc,0.0
 dataset.tuning_parameters.eq_parameters[101].q,0.0
 dataset.tuning_parameters.eq_parameters[101].gain,0.0
 dataset.tuning_parameters.eq_parameters[101].slope,0
 dataset.tuning_parameters.eq_parameters[101].filterType,0
+dataset.tuning_parameters.eq_parameters[101].enable,false
+dataset.tuning_parameters.eq_parameters[101].name,name_101
 dataset.tuning_parameters.eq_parameters[102].fc,0.0
 dataset.tuning_parameters.eq_parameters[102].q,0.0
 dataset.tuning_parameters.eq_parameters[102].gain,0.0
 dataset.tuning_parameters.eq_parameters[102].slope,0
 dataset.tuning_parameters.eq_parameters[102].filterType,0
+dataset.tuning_parameters.eq_parameters[102].enable,false
+dataset.tuning_parameters.eq_parameters[102].name,name_102
 dataset.tuning_parameters.eq_parameters[103].fc,0.0
 dataset.tuning_parameters.eq_parameters[103].q,0.0
 dataset.tuning_parameters.eq_parameters[103].gain,0.0
 dataset.tuning_parameters.eq_parameters[103].slope,0
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+dataset.tuning_parameters.eq_parameters[103].enable,false
+dataset.tuning_parameters.eq_parameters[103].name,name_103
 dataset.tuning_parameters.eq_parameters[104].fc,0.0
 dataset.tuning_parameters.eq_parameters[104].q,0.0
 dataset.tuning_parameters.eq_parameters[104].gain,0.0
 dataset.tuning_parameters.eq_parameters[104].slope,0
 dataset.tuning_parameters.eq_parameters[104].filterType,0
+dataset.tuning_parameters.eq_parameters[104].enable,false
+dataset.tuning_parameters.eq_parameters[104].name,name_104
 dataset.tuning_parameters.eq_parameters[105].fc,0.0
 dataset.tuning_parameters.eq_parameters[105].q,0.0
 dataset.tuning_parameters.eq_parameters[105].gain,0.0
 dataset.tuning_parameters.eq_parameters[105].slope,0
 dataset.tuning_parameters.eq_parameters[105].filterType,0
+dataset.tuning_parameters.eq_parameters[105].enable,false
+dataset.tuning_parameters.eq_parameters[105].name,name_105
 dataset.tuning_parameters.eq_parameters[106].fc,0.0
 dataset.tuning_parameters.eq_parameters[106].q,0.0
 dataset.tuning_parameters.eq_parameters[106].gain,0.0
 dataset.tuning_parameters.eq_parameters[106].slope,0
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+dataset.tuning_parameters.eq_parameters[106].enable,false
+dataset.tuning_parameters.eq_parameters[106].name,name_106
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+dataset.tuning_parameters.eq_parameters[107].enable,false
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 dataset.tuning_parameters.eq_parameters[108].fc,0.0
 dataset.tuning_parameters.eq_parameters[108].q,0.0
 dataset.tuning_parameters.eq_parameters[108].gain,0.0
 dataset.tuning_parameters.eq_parameters[108].slope,0
 dataset.tuning_parameters.eq_parameters[108].filterType,0
+dataset.tuning_parameters.eq_parameters[108].enable,false
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 dataset.tuning_parameters.eq_parameters[109].fc,0.0
 dataset.tuning_parameters.eq_parameters[109].q,0.0
 dataset.tuning_parameters.eq_parameters[109].gain,0.0
 dataset.tuning_parameters.eq_parameters[109].slope,0
 dataset.tuning_parameters.eq_parameters[109].filterType,0
+dataset.tuning_parameters.eq_parameters[109].enable,false
+dataset.tuning_parameters.eq_parameters[109].name,name_109
 dataset.tuning_parameters.eq_parameters[110].fc,0.0
 dataset.tuning_parameters.eq_parameters[110].q,0.0
 dataset.tuning_parameters.eq_parameters[110].gain,0.0
 dataset.tuning_parameters.eq_parameters[110].slope,0
 dataset.tuning_parameters.eq_parameters[110].filterType,0
+dataset.tuning_parameters.eq_parameters[110].enable,false
+dataset.tuning_parameters.eq_parameters[110].name,name_110
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+dataset.tuning_parameters.eq_parameters[111].enable,false
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 dataset.tuning_parameters.eq_parameters[112].gain,0.0
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 dataset.tuning_parameters.eq_parameters[112].filterType,0
+dataset.tuning_parameters.eq_parameters[112].enable,false
+dataset.tuning_parameters.eq_parameters[112].name,name_112
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 dataset.tuning_parameters.eq_parameters[113].q,0.0
 dataset.tuning_parameters.eq_parameters[113].gain,0.0
 dataset.tuning_parameters.eq_parameters[113].slope,0
 dataset.tuning_parameters.eq_parameters[113].filterType,0
+dataset.tuning_parameters.eq_parameters[113].enable,false
+dataset.tuning_parameters.eq_parameters[113].name,name_113
 dataset.tuning_parameters.eq_parameters[114].fc,0.0
 dataset.tuning_parameters.eq_parameters[114].q,0.0
 dataset.tuning_parameters.eq_parameters[114].gain,0.0
 dataset.tuning_parameters.eq_parameters[114].slope,0
 dataset.tuning_parameters.eq_parameters[114].filterType,0
+dataset.tuning_parameters.eq_parameters[114].enable,false
+dataset.tuning_parameters.eq_parameters[114].name,name_114
 dataset.tuning_parameters.eq_parameters[115].fc,0.0
 dataset.tuning_parameters.eq_parameters[115].q,0.0
 dataset.tuning_parameters.eq_parameters[115].gain,0.0
 dataset.tuning_parameters.eq_parameters[115].slope,0
 dataset.tuning_parameters.eq_parameters[115].filterType,0
+dataset.tuning_parameters.eq_parameters[115].enable,false
+dataset.tuning_parameters.eq_parameters[115].name,name_115
 dataset.tuning_parameters.eq_parameters[116].fc,0.0
 dataset.tuning_parameters.eq_parameters[116].q,0.0
 dataset.tuning_parameters.eq_parameters[116].gain,0.0
 dataset.tuning_parameters.eq_parameters[116].slope,0
 dataset.tuning_parameters.eq_parameters[116].filterType,0
+dataset.tuning_parameters.eq_parameters[116].enable,false
+dataset.tuning_parameters.eq_parameters[116].name,name_116
 dataset.tuning_parameters.eq_parameters[117].fc,0.0
 dataset.tuning_parameters.eq_parameters[117].q,0.0
 dataset.tuning_parameters.eq_parameters[117].gain,0.0
 dataset.tuning_parameters.eq_parameters[117].slope,0
 dataset.tuning_parameters.eq_parameters[117].filterType,0
+dataset.tuning_parameters.eq_parameters[117].enable,false
+dataset.tuning_parameters.eq_parameters[117].name,name_117
 dataset.tuning_parameters.eq_parameters[118].fc,0.0
 dataset.tuning_parameters.eq_parameters[118].q,0.0
 dataset.tuning_parameters.eq_parameters[118].gain,0.0
 dataset.tuning_parameters.eq_parameters[118].slope,0
 dataset.tuning_parameters.eq_parameters[118].filterType,0
+dataset.tuning_parameters.eq_parameters[118].enable,false
+dataset.tuning_parameters.eq_parameters[118].name,name_118
 dataset.tuning_parameters.eq_parameters[119].fc,0.0
 dataset.tuning_parameters.eq_parameters[119].q,0.0
 dataset.tuning_parameters.eq_parameters[119].gain,0.0
 dataset.tuning_parameters.eq_parameters[119].slope,0
 dataset.tuning_parameters.eq_parameters[119].filterType,0
+dataset.tuning_parameters.eq_parameters[119].enable,false
+dataset.tuning_parameters.eq_parameters[119].name,name_119
 dataset.tuning_parameters.delay_parameters[0].ch_n,0
 dataset.tuning_parameters.delay_parameters[0].delay_data,10.0
 dataset.tuning_parameters.delay_parameters[1].ch_n,1

data/projects/params/aaa_abcd.csv

@@ -2,11 +2,11 @@ parameter,value
 dataset.audio_mode,0
 dataset.send_action,0
 dataset.tuning_parameters.mix_parameters[0].ch_n,0
-dataset.tuning_parameters.mix_parameters[0].mix_left_data,0.7
+dataset.tuning_parameters.mix_parameters[0].mix_left_data,1.0
-dataset.tuning_parameters.mix_parameters[0].mix_right_data,0.3
+dataset.tuning_parameters.mix_parameters[0].mix_right_data,1.0
 dataset.tuning_parameters.mix_parameters[1].ch_n,1
-dataset.tuning_parameters.mix_parameters[1].mix_left_data,0.5
+dataset.tuning_parameters.mix_parameters[1].mix_left_data,0.0
-dataset.tuning_parameters.mix_parameters[1].mix_right_data,0.5
+dataset.tuning_parameters.mix_parameters[1].mix_right_data,0.0
 dataset.tuning_parameters.mix_parameters[2].ch_n,2
 dataset.tuning_parameters.mix_parameters[2].mix_left_data,0.0
 dataset.tuning_parameters.mix_parameters[2].mix_right_data,0.0
@@ -19,611 +19,850 @@ dataset.tuning_parameters.mix_parameters[4].mix_right_data,0.0
 dataset.tuning_parameters.mix_parameters[5].ch_n,5
 dataset.tuning_parameters.mix_parameters[5].mix_left_data,0.0
 dataset.tuning_parameters.mix_parameters[5].mix_right_data,0.0
-dataset.tuning_parameters.eq_parameters[0].fc,100.0
+dataset.tuning_parameters.eq_parameters[0].fc,10.0
-dataset.tuning_parameters.eq_parameters[0].q,0.7
+dataset.tuning_parameters.eq_parameters[0].q,10.0
-dataset.tuning_parameters.eq_parameters[0].gain,2.0
+dataset.tuning_parameters.eq_parameters[0].gain,10.0
-dataset.tuning_parameters.eq_parameters[0].slope,12
+dataset.tuning_parameters.eq_parameters[0].slope,10.0
-dataset.tuning_parameters.eq_parameters[0].filterType,1
+dataset.tuning_parameters.eq_parameters[0].filterType,0
-dataset.tuning_parameters.eq_parameters[1].fc,200.0
+dataset.tuning_parameters.eq_parameters[0].enable,true
-dataset.tuning_parameters.eq_parameters[1].q,1.0
+dataset.tuning_parameters.eq_parameters[0].name,name_0
-dataset.tuning_parameters.eq_parameters[1].gain,-3.0
+dataset.tuning_parameters.eq_parameters[1].fc,0.0
-dataset.tuning_parameters.eq_parameters[1].slope,6
+dataset.tuning_parameters.eq_parameters[1].q,0.0
-dataset.tuning_parameters.eq_parameters[1].filterType,2
+dataset.tuning_parameters.eq_parameters[1].gain,0.0
+dataset.tuning_parameters.eq_parameters[1].slope,0
+dataset.tuning_parameters.eq_parameters[1].filterType,0
+dataset.tuning_parameters.eq_parameters[1].enable,false
+dataset.tuning_parameters.eq_parameters[1].name,name_1
 dataset.tuning_parameters.eq_parameters[2].fc,0.0
 dataset.tuning_parameters.eq_parameters[2].q,0.0
 dataset.tuning_parameters.eq_parameters[2].gain,0.0
 dataset.tuning_parameters.eq_parameters[2].slope,0
 dataset.tuning_parameters.eq_parameters[2].filterType,0
+dataset.tuning_parameters.eq_parameters[2].enable,false
+dataset.tuning_parameters.eq_parameters[2].name,name_2
 dataset.tuning_parameters.eq_parameters[3].fc,0.0
 dataset.tuning_parameters.eq_parameters[3].q,0.0
 dataset.tuning_parameters.eq_parameters[3].gain,0.0
 dataset.tuning_parameters.eq_parameters[3].slope,0
 dataset.tuning_parameters.eq_parameters[3].filterType,0
+dataset.tuning_parameters.eq_parameters[3].enable,false
+dataset.tuning_parameters.eq_parameters[3].name,name_3
 dataset.tuning_parameters.eq_parameters[4].fc,0.0
 dataset.tuning_parameters.eq_parameters[4].q,0.0
 dataset.tuning_parameters.eq_parameters[4].gain,0.0
 dataset.tuning_parameters.eq_parameters[4].slope,0
 dataset.tuning_parameters.eq_parameters[4].filterType,0
+dataset.tuning_parameters.eq_parameters[4].enable,false
+dataset.tuning_parameters.eq_parameters[4].name,name_4
 dataset.tuning_parameters.eq_parameters[5].fc,0.0
 dataset.tuning_parameters.eq_parameters[5].q,0.0
 dataset.tuning_parameters.eq_parameters[5].gain,0.0
 dataset.tuning_parameters.eq_parameters[5].slope,0
 dataset.tuning_parameters.eq_parameters[5].filterType,0
+dataset.tuning_parameters.eq_parameters[5].enable,false
+dataset.tuning_parameters.eq_parameters[5].name,name_5
 dataset.tuning_parameters.eq_parameters[6].fc,0.0
 dataset.tuning_parameters.eq_parameters[6].q,0.0
 dataset.tuning_parameters.eq_parameters[6].gain,0.0
 dataset.tuning_parameters.eq_parameters[6].slope,0
 dataset.tuning_parameters.eq_parameters[6].filterType,0
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+dataset.tuning_parameters.eq_parameters[6].name,name_6
 dataset.tuning_parameters.eq_parameters[7].fc,0.0
 dataset.tuning_parameters.eq_parameters[7].q,0.0
 dataset.tuning_parameters.eq_parameters[7].gain,0.0
 dataset.tuning_parameters.eq_parameters[7].slope,0
 dataset.tuning_parameters.eq_parameters[7].filterType,0
+dataset.tuning_parameters.eq_parameters[7].enable,false
+dataset.tuning_parameters.eq_parameters[7].name,name_7
 dataset.tuning_parameters.eq_parameters[8].fc,0.0
 dataset.tuning_parameters.eq_parameters[8].q,0.0
 dataset.tuning_parameters.eq_parameters[8].gain,0.0
 dataset.tuning_parameters.eq_parameters[8].slope,0
 dataset.tuning_parameters.eq_parameters[8].filterType,0
+dataset.tuning_parameters.eq_parameters[8].enable,false
+dataset.tuning_parameters.eq_parameters[8].name,name_8
 dataset.tuning_parameters.eq_parameters[9].fc,0.0
 dataset.tuning_parameters.eq_parameters[9].q,0.0
 dataset.tuning_parameters.eq_parameters[9].gain,0.0
 dataset.tuning_parameters.eq_parameters[9].slope,0
 dataset.tuning_parameters.eq_parameters[9].filterType,0
+dataset.tuning_parameters.eq_parameters[9].enable,false
+dataset.tuning_parameters.eq_parameters[9].name,name_9
 dataset.tuning_parameters.eq_parameters[10].fc,0.0
 dataset.tuning_parameters.eq_parameters[10].q,0.0
 dataset.tuning_parameters.eq_parameters[10].gain,0.0
 dataset.tuning_parameters.eq_parameters[10].slope,0
 dataset.tuning_parameters.eq_parameters[10].filterType,0
+dataset.tuning_parameters.eq_parameters[10].enable,false
+dataset.tuning_parameters.eq_parameters[10].name,name_10
 dataset.tuning_parameters.eq_parameters[11].fc,0.0
 dataset.tuning_parameters.eq_parameters[11].q,0.0
 dataset.tuning_parameters.eq_parameters[11].gain,0.0
 dataset.tuning_parameters.eq_parameters[11].slope,0
 dataset.tuning_parameters.eq_parameters[11].filterType,0
+dataset.tuning_parameters.eq_parameters[11].enable,false
+dataset.tuning_parameters.eq_parameters[11].name,name_11
 dataset.tuning_parameters.eq_parameters[12].fc,0.0
 dataset.tuning_parameters.eq_parameters[12].q,0.0
 dataset.tuning_parameters.eq_parameters[12].gain,0.0
 dataset.tuning_parameters.eq_parameters[12].slope,0
 dataset.tuning_parameters.eq_parameters[12].filterType,0
+dataset.tuning_parameters.eq_parameters[12].enable,false
+dataset.tuning_parameters.eq_parameters[12].name,name_12
 dataset.tuning_parameters.eq_parameters[13].fc,0.0
 dataset.tuning_parameters.eq_parameters[13].q,0.0
 dataset.tuning_parameters.eq_parameters[13].gain,0.0
 dataset.tuning_parameters.eq_parameters[13].slope,0
 dataset.tuning_parameters.eq_parameters[13].filterType,0
+dataset.tuning_parameters.eq_parameters[13].enable,false
+dataset.tuning_parameters.eq_parameters[13].name,name_13
 dataset.tuning_parameters.eq_parameters[14].fc,0.0
 dataset.tuning_parameters.eq_parameters[14].q,0.0
 dataset.tuning_parameters.eq_parameters[14].gain,0.0
 dataset.tuning_parameters.eq_parameters[14].slope,0
 dataset.tuning_parameters.eq_parameters[14].filterType,0
+dataset.tuning_parameters.eq_parameters[14].enable,false
+dataset.tuning_parameters.eq_parameters[14].name,name_14
 dataset.tuning_parameters.eq_parameters[15].fc,0.0
 dataset.tuning_parameters.eq_parameters[15].q,0.0
 dataset.tuning_parameters.eq_parameters[15].gain,0.0
 dataset.tuning_parameters.eq_parameters[15].slope,0
 dataset.tuning_parameters.eq_parameters[15].filterType,0
+dataset.tuning_parameters.eq_parameters[15].enable,false
+dataset.tuning_parameters.eq_parameters[15].name,name_15
 dataset.tuning_parameters.eq_parameters[16].fc,0.0
 dataset.tuning_parameters.eq_parameters[16].q,0.0
 dataset.tuning_parameters.eq_parameters[16].gain,0.0
 dataset.tuning_parameters.eq_parameters[16].slope,0
 dataset.tuning_parameters.eq_parameters[16].filterType,0
+dataset.tuning_parameters.eq_parameters[16].enable,false
+dataset.tuning_parameters.eq_parameters[16].name,name_16
 dataset.tuning_parameters.eq_parameters[17].fc,0.0
 dataset.tuning_parameters.eq_parameters[17].q,0.0
 dataset.tuning_parameters.eq_parameters[17].gain,0.0
 dataset.tuning_parameters.eq_parameters[17].slope,0
 dataset.tuning_parameters.eq_parameters[17].filterType,0
+dataset.tuning_parameters.eq_parameters[17].enable,false
+dataset.tuning_parameters.eq_parameters[17].name,name_17
 dataset.tuning_parameters.eq_parameters[18].fc,0.0
 dataset.tuning_parameters.eq_parameters[18].q,0.0
 dataset.tuning_parameters.eq_parameters[18].gain,0.0
 dataset.tuning_parameters.eq_parameters[18].slope,0
 dataset.tuning_parameters.eq_parameters[18].filterType,0
+dataset.tuning_parameters.eq_parameters[18].enable,false
+dataset.tuning_parameters.eq_parameters[18].name,name_18
 dataset.tuning_parameters.eq_parameters[19].fc,0.0
 dataset.tuning_parameters.eq_parameters[19].q,0.0
 dataset.tuning_parameters.eq_parameters[19].gain,0.0
 dataset.tuning_parameters.eq_parameters[19].slope,0
 dataset.tuning_parameters.eq_parameters[19].filterType,0
-dataset.tuning_parameters.eq_parameters[20].fc,1000.0
+dataset.tuning_parameters.eq_parameters[19].enable,false
-dataset.tuning_parameters.eq_parameters[20].q,1.4
+dataset.tuning_parameters.eq_parameters[19].name,name_19
-dataset.tuning_parameters.eq_parameters[20].gain,-3.0
+dataset.tuning_parameters.eq_parameters[20].fc,0.0
-dataset.tuning_parameters.eq_parameters[20].slope,6
+dataset.tuning_parameters.eq_parameters[20].q,0.0
-dataset.tuning_parameters.eq_parameters[20].filterType,2
+dataset.tuning_parameters.eq_parameters[20].gain,0.0
+dataset.tuning_parameters.eq_parameters[20].slope,0
+dataset.tuning_parameters.eq_parameters[20].filterType,0
+dataset.tuning_parameters.eq_parameters[20].enable,false
+dataset.tuning_parameters.eq_parameters[20].name,name_20
 dataset.tuning_parameters.eq_parameters[21].fc,0.0
 dataset.tuning_parameters.eq_parameters[21].q,0.0
 dataset.tuning_parameters.eq_parameters[21].gain,0.0
 dataset.tuning_parameters.eq_parameters[21].slope,0
 dataset.tuning_parameters.eq_parameters[21].filterType,0
+dataset.tuning_parameters.eq_parameters[21].enable,false
+dataset.tuning_parameters.eq_parameters[21].name,name_21
 dataset.tuning_parameters.eq_parameters[22].fc,0.0
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 dataset.tuning_parameters.eq_parameters[22].gain,0.0
 dataset.tuning_parameters.eq_parameters[22].slope,0
 dataset.tuning_parameters.eq_parameters[22].filterType,0
+dataset.tuning_parameters.eq_parameters[22].enable,false
+dataset.tuning_parameters.eq_parameters[22].name,name_22
 dataset.tuning_parameters.eq_parameters[23].fc,0.0
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 dataset.tuning_parameters.eq_parameters[23].gain,0.0
 dataset.tuning_parameters.eq_parameters[23].slope,0
 dataset.tuning_parameters.eq_parameters[23].filterType,0
+dataset.tuning_parameters.eq_parameters[23].enable,false
+dataset.tuning_parameters.eq_parameters[23].name,name_23
 dataset.tuning_parameters.eq_parameters[24].fc,0.0
 dataset.tuning_parameters.eq_parameters[24].q,0.0
 dataset.tuning_parameters.eq_parameters[24].gain,0.0
 dataset.tuning_parameters.eq_parameters[24].slope,0
 dataset.tuning_parameters.eq_parameters[24].filterType,0
+dataset.tuning_parameters.eq_parameters[24].enable,false
+dataset.tuning_parameters.eq_parameters[24].name,name_24
 dataset.tuning_parameters.eq_parameters[25].fc,0.0
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 dataset.tuning_parameters.eq_parameters[25].gain,0.0
 dataset.tuning_parameters.eq_parameters[25].slope,0
 dataset.tuning_parameters.eq_parameters[25].filterType,0
+dataset.tuning_parameters.eq_parameters[25].enable,false
+dataset.tuning_parameters.eq_parameters[25].name,name_25
 dataset.tuning_parameters.eq_parameters[26].fc,0.0
 dataset.tuning_parameters.eq_parameters[26].q,0.0
 dataset.tuning_parameters.eq_parameters[26].gain,0.0
 dataset.tuning_parameters.eq_parameters[26].slope,0
 dataset.tuning_parameters.eq_parameters[26].filterType,0
+dataset.tuning_parameters.eq_parameters[26].enable,false
+dataset.tuning_parameters.eq_parameters[26].name,name_26
 dataset.tuning_parameters.eq_parameters[27].fc,0.0
 dataset.tuning_parameters.eq_parameters[27].q,0.0
 dataset.tuning_parameters.eq_parameters[27].gain,0.0
 dataset.tuning_parameters.eq_parameters[27].slope,0
 dataset.tuning_parameters.eq_parameters[27].filterType,0
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+dataset.tuning_parameters.eq_parameters[86].name,name_86
 dataset.tuning_parameters.eq_parameters[87].fc,0.0
 dataset.tuning_parameters.eq_parameters[87].q,0.0
 dataset.tuning_parameters.eq_parameters[87].gain,0.0
 dataset.tuning_parameters.eq_parameters[87].slope,0
 dataset.tuning_parameters.eq_parameters[87].filterType,0
+dataset.tuning_parameters.eq_parameters[87].enable,false
+dataset.tuning_parameters.eq_parameters[87].name,name_87
 dataset.tuning_parameters.eq_parameters[88].fc,0.0
 dataset.tuning_parameters.eq_parameters[88].q,0.0
 dataset.tuning_parameters.eq_parameters[88].gain,0.0
 dataset.tuning_parameters.eq_parameters[88].slope,0
 dataset.tuning_parameters.eq_parameters[88].filterType,0
+dataset.tuning_parameters.eq_parameters[88].enable,false
+dataset.tuning_parameters.eq_parameters[88].name,name_88
 dataset.tuning_parameters.eq_parameters[89].fc,0.0
 dataset.tuning_parameters.eq_parameters[89].q,0.0
 dataset.tuning_parameters.eq_parameters[89].gain,0.0
 dataset.tuning_parameters.eq_parameters[89].slope,0
 dataset.tuning_parameters.eq_parameters[89].filterType,0
+dataset.tuning_parameters.eq_parameters[89].enable,false
+dataset.tuning_parameters.eq_parameters[89].name,name_89
 dataset.tuning_parameters.eq_parameters[90].fc,0.0
 dataset.tuning_parameters.eq_parameters[90].q,0.0
 dataset.tuning_parameters.eq_parameters[90].gain,0.0
 dataset.tuning_parameters.eq_parameters[90].slope,0
 dataset.tuning_parameters.eq_parameters[90].filterType,0
+dataset.tuning_parameters.eq_parameters[90].enable,false
+dataset.tuning_parameters.eq_parameters[90].name,name_90
 dataset.tuning_parameters.eq_parameters[91].fc,0.0
 dataset.tuning_parameters.eq_parameters[91].q,0.0
 dataset.tuning_parameters.eq_parameters[91].gain,0.0
 dataset.tuning_parameters.eq_parameters[91].slope,0
 dataset.tuning_parameters.eq_parameters[91].filterType,0
+dataset.tuning_parameters.eq_parameters[91].enable,false
+dataset.tuning_parameters.eq_parameters[91].name,name_91
 dataset.tuning_parameters.eq_parameters[92].fc,0.0
 dataset.tuning_parameters.eq_parameters[92].q,0.0
 dataset.tuning_parameters.eq_parameters[92].gain,0.0
 dataset.tuning_parameters.eq_parameters[92].slope,0
 dataset.tuning_parameters.eq_parameters[92].filterType,0
+dataset.tuning_parameters.eq_parameters[92].enable,false
+dataset.tuning_parameters.eq_parameters[92].name,name_92
 dataset.tuning_parameters.eq_parameters[93].fc,0.0
 dataset.tuning_parameters.eq_parameters[93].q,0.0
 dataset.tuning_parameters.eq_parameters[93].gain,0.0
 dataset.tuning_parameters.eq_parameters[93].slope,0
 dataset.tuning_parameters.eq_parameters[93].filterType,0
+dataset.tuning_parameters.eq_parameters[93].enable,false
+dataset.tuning_parameters.eq_parameters[93].name,name_93
 dataset.tuning_parameters.eq_parameters[94].fc,0.0
 dataset.tuning_parameters.eq_parameters[94].q,0.0
 dataset.tuning_parameters.eq_parameters[94].gain,0.0
 dataset.tuning_parameters.eq_parameters[94].slope,0
 dataset.tuning_parameters.eq_parameters[94].filterType,0
+dataset.tuning_parameters.eq_parameters[94].enable,false
+dataset.tuning_parameters.eq_parameters[94].name,name_94
 dataset.tuning_parameters.eq_parameters[95].fc,0.0
 dataset.tuning_parameters.eq_parameters[95].q,0.0
 dataset.tuning_parameters.eq_parameters[95].gain,0.0
 dataset.tuning_parameters.eq_parameters[95].slope,0
 dataset.tuning_parameters.eq_parameters[95].filterType,0
+dataset.tuning_parameters.eq_parameters[95].enable,false
+dataset.tuning_parameters.eq_parameters[95].name,name_95
 dataset.tuning_parameters.eq_parameters[96].fc,0.0
 dataset.tuning_parameters.eq_parameters[96].q,0.0
 dataset.tuning_parameters.eq_parameters[96].gain,0.0
 dataset.tuning_parameters.eq_parameters[96].slope,0
 dataset.tuning_parameters.eq_parameters[96].filterType,0
+dataset.tuning_parameters.eq_parameters[96].enable,false
+dataset.tuning_parameters.eq_parameters[96].name,name_96
 dataset.tuning_parameters.eq_parameters[97].fc,0.0
 dataset.tuning_parameters.eq_parameters[97].q,0.0
 dataset.tuning_parameters.eq_parameters[97].gain,0.0
 dataset.tuning_parameters.eq_parameters[97].slope,0
 dataset.tuning_parameters.eq_parameters[97].filterType,0
+dataset.tuning_parameters.eq_parameters[97].enable,false
+dataset.tuning_parameters.eq_parameters[97].name,name_97
 dataset.tuning_parameters.eq_parameters[98].fc,0.0
 dataset.tuning_parameters.eq_parameters[98].q,0.0
 dataset.tuning_parameters.eq_parameters[98].gain,0.0
 dataset.tuning_parameters.eq_parameters[98].slope,0
 dataset.tuning_parameters.eq_parameters[98].filterType,0
+dataset.tuning_parameters.eq_parameters[98].enable,false
+dataset.tuning_parameters.eq_parameters[98].name,name_98
 dataset.tuning_parameters.eq_parameters[99].fc,0.0
 dataset.tuning_parameters.eq_parameters[99].q,0.0
 dataset.tuning_parameters.eq_parameters[99].gain,0.0
 dataset.tuning_parameters.eq_parameters[99].slope,0
 dataset.tuning_parameters.eq_parameters[99].filterType,0
+dataset.tuning_parameters.eq_parameters[99].enable,false
+dataset.tuning_parameters.eq_parameters[99].name,name_99
 dataset.tuning_parameters.eq_parameters[100].fc,0.0
 dataset.tuning_parameters.eq_parameters[100].q,0.0
 dataset.tuning_parameters.eq_parameters[100].gain,0.0
 dataset.tuning_parameters.eq_parameters[100].slope,0
 dataset.tuning_parameters.eq_parameters[100].filterType,0
+dataset.tuning_parameters.eq_parameters[100].enable,false
+dataset.tuning_parameters.eq_parameters[100].name,name_100
 dataset.tuning_parameters.eq_parameters[101].fc,0.0
 dataset.tuning_parameters.eq_parameters[101].q,0.0
 dataset.tuning_parameters.eq_parameters[101].gain,0.0
 dataset.tuning_parameters.eq_parameters[101].slope,0
 dataset.tuning_parameters.eq_parameters[101].filterType,0
+dataset.tuning_parameters.eq_parameters[101].enable,false
+dataset.tuning_parameters.eq_parameters[101].name,name_101
 dataset.tuning_parameters.eq_parameters[102].fc,0.0
 dataset.tuning_parameters.eq_parameters[102].q,0.0
 dataset.tuning_parameters.eq_parameters[102].gain,0.0
 dataset.tuning_parameters.eq_parameters[102].slope,0
 dataset.tuning_parameters.eq_parameters[102].filterType,0
+dataset.tuning_parameters.eq_parameters[102].enable,false
+dataset.tuning_parameters.eq_parameters[102].name,name_102
 dataset.tuning_parameters.eq_parameters[103].fc,0.0
 dataset.tuning_parameters.eq_parameters[103].q,0.0
 dataset.tuning_parameters.eq_parameters[103].gain,0.0
 dataset.tuning_parameters.eq_parameters[103].slope,0
 dataset.tuning_parameters.eq_parameters[103].filterType,0
+dataset.tuning_parameters.eq_parameters[103].enable,false
+dataset.tuning_parameters.eq_parameters[103].name,name_103
 dataset.tuning_parameters.eq_parameters[104].fc,0.0
 dataset.tuning_parameters.eq_parameters[104].q,0.0
 dataset.tuning_parameters.eq_parameters[104].gain,0.0
 dataset.tuning_parameters.eq_parameters[104].slope,0
 dataset.tuning_parameters.eq_parameters[104].filterType,0
+dataset.tuning_parameters.eq_parameters[104].enable,false
+dataset.tuning_parameters.eq_parameters[104].name,name_104
 dataset.tuning_parameters.eq_parameters[105].fc,0.0
 dataset.tuning_parameters.eq_parameters[105].q,0.0
 dataset.tuning_parameters.eq_parameters[105].gain,0.0
 dataset.tuning_parameters.eq_parameters[105].slope,0
 dataset.tuning_parameters.eq_parameters[105].filterType,0
+dataset.tuning_parameters.eq_parameters[105].enable,false
+dataset.tuning_parameters.eq_parameters[105].name,name_105
 dataset.tuning_parameters.eq_parameters[106].fc,0.0
 dataset.tuning_parameters.eq_parameters[106].q,0.0
 dataset.tuning_parameters.eq_parameters[106].gain,0.0
 dataset.tuning_parameters.eq_parameters[106].slope,0
 dataset.tuning_parameters.eq_parameters[106].filterType,0
+dataset.tuning_parameters.eq_parameters[106].enable,false
+dataset.tuning_parameters.eq_parameters[106].name,name_106
 dataset.tuning_parameters.eq_parameters[107].fc,0.0
 dataset.tuning_parameters.eq_parameters[107].q,0.0
 dataset.tuning_parameters.eq_parameters[107].gain,0.0
 dataset.tuning_parameters.eq_parameters[107].slope,0
 dataset.tuning_parameters.eq_parameters[107].filterType,0
+dataset.tuning_parameters.eq_parameters[107].enable,false
+dataset.tuning_parameters.eq_parameters[107].name,name_107
 dataset.tuning_parameters.eq_parameters[108].fc,0.0
 dataset.tuning_parameters.eq_parameters[108].q,0.0
 dataset.tuning_parameters.eq_parameters[108].gain,0.0
 dataset.tuning_parameters.eq_parameters[108].slope,0
 dataset.tuning_parameters.eq_parameters[108].filterType,0
+dataset.tuning_parameters.eq_parameters[108].enable,false
+dataset.tuning_parameters.eq_parameters[108].name,name_108
 dataset.tuning_parameters.eq_parameters[109].fc,0.0
 dataset.tuning_parameters.eq_parameters[109].q,0.0
 dataset.tuning_parameters.eq_parameters[109].gain,0.0
 dataset.tuning_parameters.eq_parameters[109].slope,0
 dataset.tuning_parameters.eq_parameters[109].filterType,0
+dataset.tuning_parameters.eq_parameters[109].enable,false
+dataset.tuning_parameters.eq_parameters[109].name,name_109
 dataset.tuning_parameters.eq_parameters[110].fc,0.0
 dataset.tuning_parameters.eq_parameters[110].q,0.0
 dataset.tuning_parameters.eq_parameters[110].gain,0.0
 dataset.tuning_parameters.eq_parameters[110].slope,0
 dataset.tuning_parameters.eq_parameters[110].filterType,0
+dataset.tuning_parameters.eq_parameters[110].enable,false
+dataset.tuning_parameters.eq_parameters[110].name,name_110
 dataset.tuning_parameters.eq_parameters[111].fc,0.0
 dataset.tuning_parameters.eq_parameters[111].q,0.0
 dataset.tuning_parameters.eq_parameters[111].gain,0.0
 dataset.tuning_parameters.eq_parameters[111].slope,0
 dataset.tuning_parameters.eq_parameters[111].filterType,0
+dataset.tuning_parameters.eq_parameters[111].enable,false
+dataset.tuning_parameters.eq_parameters[111].name,name_111
 dataset.tuning_parameters.eq_parameters[112].fc,0.0
 dataset.tuning_parameters.eq_parameters[112].q,0.0
 dataset.tuning_parameters.eq_parameters[112].gain,0.0
 dataset.tuning_parameters.eq_parameters[112].slope,0
 dataset.tuning_parameters.eq_parameters[112].filterType,0
+dataset.tuning_parameters.eq_parameters[112].enable,false
+dataset.tuning_parameters.eq_parameters[112].name,name_112
 dataset.tuning_parameters.eq_parameters[113].fc,0.0
 dataset.tuning_parameters.eq_parameters[113].q,0.0
 dataset.tuning_parameters.eq_parameters[113].gain,0.0
 dataset.tuning_parameters.eq_parameters[113].slope,0
 dataset.tuning_parameters.eq_parameters[113].filterType,0
+dataset.tuning_parameters.eq_parameters[113].enable,false
+dataset.tuning_parameters.eq_parameters[113].name,name_113
 dataset.tuning_parameters.eq_parameters[114].fc,0.0
 dataset.tuning_parameters.eq_parameters[114].q,0.0
 dataset.tuning_parameters.eq_parameters[114].gain,0.0
 dataset.tuning_parameters.eq_parameters[114].slope,0
 dataset.tuning_parameters.eq_parameters[114].filterType,0
+dataset.tuning_parameters.eq_parameters[114].enable,false
+dataset.tuning_parameters.eq_parameters[114].name,name_114
 dataset.tuning_parameters.eq_parameters[115].fc,0.0
 dataset.tuning_parameters.eq_parameters[115].q,0.0
 dataset.tuning_parameters.eq_parameters[115].gain,0.0
 dataset.tuning_parameters.eq_parameters[115].slope,0
 dataset.tuning_parameters.eq_parameters[115].filterType,0
+dataset.tuning_parameters.eq_parameters[115].enable,false
+dataset.tuning_parameters.eq_parameters[115].name,name_115
 dataset.tuning_parameters.eq_parameters[116].fc,0.0
 dataset.tuning_parameters.eq_parameters[116].q,0.0
 dataset.tuning_parameters.eq_parameters[116].gain,0.0
 dataset.tuning_parameters.eq_parameters[116].slope,0
 dataset.tuning_parameters.eq_parameters[116].filterType,0
+dataset.tuning_parameters.eq_parameters[116].enable,false
+dataset.tuning_parameters.eq_parameters[116].name,name_116
 dataset.tuning_parameters.eq_parameters[117].fc,0.0
 dataset.tuning_parameters.eq_parameters[117].q,0.0
 dataset.tuning_parameters.eq_parameters[117].gain,0.0
 dataset.tuning_parameters.eq_parameters[117].slope,0
 dataset.tuning_parameters.eq_parameters[117].filterType,0
+dataset.tuning_parameters.eq_parameters[117].enable,false
+dataset.tuning_parameters.eq_parameters[117].name,name_117
 dataset.tuning_parameters.eq_parameters[118].fc,0.0
 dataset.tuning_parameters.eq_parameters[118].q,0.0
 dataset.tuning_parameters.eq_parameters[118].gain,0.0
 dataset.tuning_parameters.eq_parameters[118].slope,0
 dataset.tuning_parameters.eq_parameters[118].filterType,0
+dataset.tuning_parameters.eq_parameters[118].enable,false
+dataset.tuning_parameters.eq_parameters[118].name,name_118
 dataset.tuning_parameters.eq_parameters[119].fc,0.0
 dataset.tuning_parameters.eq_parameters[119].q,0.0
 dataset.tuning_parameters.eq_parameters[119].gain,0.0
 dataset.tuning_parameters.eq_parameters[119].slope,0
 dataset.tuning_parameters.eq_parameters[119].filterType,0
+dataset.tuning_parameters.eq_parameters[119].enable,false
+dataset.tuning_parameters.eq_parameters[119].name,name_119
 dataset.tuning_parameters.delay_parameters[0].ch_n,0
-dataset.tuning_parameters.delay_parameters[0].delay_data,0.05
+dataset.tuning_parameters.delay_parameters[0].delay_data,10.0
 dataset.tuning_parameters.delay_parameters[1].ch_n,1
-dataset.tuning_parameters.delay_parameters[1].delay_data,0.1
+dataset.tuning_parameters.delay_parameters[1].delay_data,0.0
 dataset.tuning_parameters.delay_parameters[2].ch_n,2
 dataset.tuning_parameters.delay_parameters[2].delay_data,0.0
 dataset.tuning_parameters.delay_parameters[3].ch_n,3
@@ -633,9 +872,9 @@ dataset.tuning_parameters.delay_parameters[4].delay_data,0.0
 dataset.tuning_parameters.delay_parameters[5].ch_n,5
 dataset.tuning_parameters.delay_parameters[5].delay_data,0.0
 dataset.tuning_parameters.volume_parameters[0].ch_n,0
-dataset.tuning_parameters.volume_parameters[0].vol_data,-3.0
+dataset.tuning_parameters.volume_parameters[0].vol_data,10.0
 dataset.tuning_parameters.volume_parameters[1].ch_n,1
-dataset.tuning_parameters.volume_parameters[1].vol_data,-6.0
+dataset.tuning_parameters.volume_parameters[1].vol_data,0.0
 dataset.tuning_parameters.volume_parameters[2].ch_n,2
 dataset.tuning_parameters.volume_parameters[2].vol_data,0.0
 dataset.tuning_parameters.volume_parameters[3].ch_n,3

database/models.py

@@ -10,7 +10,7 @@ class FilterData:
     q: float
     gain: float
     slope: float
-    enabled: bool = True
+    enable: bool = True
     position: int = 0
     config_id: Optional[int] = None
     id: Optional[int] = None

persistence/data_store.py

@@ -11,6 +11,7 @@ class DataStore:
         self.storage_dir = storage_dir
         self.current_project: Optional[str] = None
         self.current_param: Optional[str] = None
+        self.current_paramter_name: Optional[str] = None
         self._ensure_storage_dir()
 
     def _ensure_storage_dir(self):
@@ -256,7 +257,7 @@ class DataStore:
         channel_data = {}
         
         # 处理混音参数
-        # to do:后续处理这个6
+        # to do: 后续处理这个6
         for i in range(6):  # 假设最多6个通道
             ch_key = f'dataset.tuning_parameters.mix_parameters[{i}].ch_n'
             if ch_key in param_data:
@@ -265,17 +266,17 @@ class DataStore:
                 if channel_id not in channel_data:
                     channel_data[channel_id] = {'filters': []}
                 
-                # 左混音
+
                 left_key = f'dataset.tuning_parameters.mix_parameters[{i}].mix_left_data'
                 if left_key in param_data:
                     channel_data[channel_id]['mix_left_data'] = float(param_data[left_key])
                 
-                # 右混音
+
                 right_key = f'dataset.tuning_parameters.mix_parameters[{i}].mix_right_data'
                 if right_key in param_data:
                     channel_data[channel_id]['mix_right_data'] = float(param_data[right_key])
         
-        # 处理延迟参数
+
         for i in range(6):
             ch_key = f'dataset.tuning_parameters.delay_parameters[{i}].ch_n'
             if ch_key in param_data:
@@ -288,7 +289,7 @@ class DataStore:
                 if delay_key in param_data:
                     channel_data[channel_id]['delay_data'] = float(param_data[delay_key])
         
-        # 处理音量参数
+
         for i in range(6):
             ch_key = f'dataset.tuning_parameters.volume_parameters[{i}].ch_n'
             if ch_key in param_data:
@@ -301,7 +302,7 @@ class DataStore:
                 if vol_key in param_data:
                     channel_data[channel_id]['vol_data'] = float(param_data[vol_key])
         
-        # 处理滤波器参数
+
         for i in range(120):  # 最多120个滤波器   
             fc_key = f'dataset.tuning_parameters.eq_parameters[{i}].fc'
             if fc_key in param_data:
@@ -338,6 +339,15 @@ class DataStore:
                     # 先转为浮点数再转为整数
                     filter_data['filterType'] = int(float(param_data[filter_type_key]))
                 
+                # 添加enable和name参数
+                enable_key = f'dataset.tuning_parameters.eq_parameters[{i}].enable'
+                if enable_key in param_data:
+                    filter_data['enable'] = param_data[enable_key].lower() == 'true'
+                
+                name_key = f'dataset.tuning_parameters.eq_parameters[{i}].name'
+                if name_key in param_data:
+                    filter_data['name'] = param_data[name_key]
+        
         return channel_data
 
     def list_projects(self) -> List[str]:

persistence/models.py

@@ -9,7 +9,7 @@ class FilterConfig:
     q: float
     gain: float
     slope: int
-    enabled: bool
+    enable: bool
 
     
 

widgets/audio_filter_widget.py

@@ -201,7 +201,7 @@ class AudioFilterController:
                 position=len(self.model.filters),
                 config_id=self.model.current_config_id,
                 channel_id=self.model.current_channel_id,
-                enabled=True,
+                enable=True,
                 id=None  # 初始创建时 id 为 None
             )
             
@@ -283,7 +283,7 @@ class AudioFilterWidget(QWidget):
         # 创建带复选框的滤波器名称项
         filter_item = QTableWidgetItem()
         filter_item.setFlags(filter_item.flags() | Qt.ItemFlag.ItemIsUserCheckable)
-        filter_item.setCheckState(Qt.CheckState.Checked if filter_data.enabled else Qt.CheckState.Unchecked)
+        filter_item.setCheckState(Qt.CheckState.Checked if filter_data.enable else Qt.CheckState.Unchecked)
         filter_item.setText(str(filter_data.filter_type))  # 设置文本，这样文本会和复选框一起显示
         
         # 更新各列的值