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Fix panel internal titles and step calls (Step3)

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DXC
2026-06-11 14:56:33 +08:00
parent 604886abb3
commit 7c7a31ce00
8 changed files with 28 additions and 99 deletions
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src/gui/panels/step9_ml_predict_panel.py Normal file
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Step11 面板 - 机器学习预测
"""
import os
from pathlib import Path
from PyQt5.QtWidgets import (
QWidget, QVBoxLayout, QGroupBox, QFormLayout,
QPushButton, QCheckBox, QComboBox, QLineEdit, QMessageBox,
QFileDialog, QRadioButton, QListWidget, QAbstractItemView, QHBoxLayout,
QListWidgetItem,
)
from PyQt5.QtCore import Qt
from src.gui.components.custom_widgets import FileSelectWidget
from src.gui.styles import ModernStylesheet
class Step9MlPredictPanel(QWidget):
"""步骤9：机器学习预测"""
def __init__(self, parent=None):
super().__init__(parent)
self.external_models_dict = {} # {subdir_name: model_obj, ...}
self.external_model_dir = "" # 母文件夹路径（隐藏）
self.init_ui()
def init_ui(self):
layout = QVBoxLayout()
# -------- 模型来源选择（单选按钮组） --------
source_group = QGroupBox("模型来源")
source_layout = QVBoxLayout()
self.use_trained_model = QRadioButton("使用当前训练流程的模型")
self.use_external_model = QRadioButton("导入本地预训练模型 (.joblib)")
self.use_trained_model.setChecked(True)
source_layout.addWidget(self.use_trained_model)
source_layout.addWidget(self.use_external_model)
self.use_trained_model.toggled.connect(self._on_model_source_changed)
self.use_external_model.toggled.connect(self._on_model_source_changed)
source_group.setStyleSheet("""
QRadioButton {
font-size: 13px;
spacing: 8px;
}
QRadioButton::indicator {
width: 16px;
height: 16px;
border-radius: 9px;
border: 2px solid #A0A0A0;
background-color: #FFFFFF;
}
QRadioButton::indicator:hover {
border: 2px solid #0078D7;
}
QRadioButton::indicator:checked {
background-color: #0078D7;
border: 2px solid #0078D7;
}
""")
source_group.setLayout(source_layout)
layout.addWidget(source_group)
# -------- 外部模型文件选择（条件显示） --------
self.external_model_widget = FileSelectWidget(
"模型母文件夹:",
"Directories"
)
self.external_model_widget.browse_btn.clicked.disconnect()
self.external_model_widget.browse_btn.clicked.connect(self._scan_external_model_dir)
self.external_model_widget.setVisible(False)
layout.addWidget(self.external_model_widget)
# -------- 已扫描模型列表（条件显示） --------
self.model_list_group = QGroupBox("选择参与预测的模型")
self.model_list_group.setVisible(False)
model_list_layout = QVBoxLayout()
self.model_list = QListWidget()
self.model_list.setMaximumHeight(130)
self.model_list.setSelectionMode(QAbstractItemView.NoSelection)
self.model_list.setStyleSheet("""
QListWidget {
border: 1px solid #C0C0C0;
border-radius: 4px;
background-color: #FFFFFF;
font-size: 12px;
}
QListWidget::item {
padding: 4px 6px;
border-bottom: 1px solid #F0F0F0;
}
QListWidget::item:selected {
background-color: transparent;
}
""")
model_list_layout.addWidget(self.model_list)
btn_row = QHBoxLayout()
self.btn_select_all = QPushButton("全选")
self.btn_select_all.setMaximumWidth(80)
self.btn_select_all.setStyleSheet(ModernStylesheet.get_button_stylesheet('default'))
self.btn_select_all.clicked.connect(self._select_all_models)
self.btn_select_none = QPushButton("全不选")
self.btn_select_none.setMaximumWidth(80)
self.btn_select_none.setStyleSheet(ModernStylesheet.get_button_stylesheet('default'))
self.btn_select_none.clicked.connect(self._select_none_models)
btn_row.addWidget(self.btn_select_all)
btn_row.addWidget(self.btn_select_none)
btn_row.addStretch()
model_list_layout.addLayout(btn_row)
self.model_list_group.setLayout(model_list_layout)
layout.addWidget(self.model_list_group)
# -------- 采样光谱CSV文件（用于独立运行）--------
self.sampling_csv_file = FileSelectWidget(
"采样光谱CSV:",
"CSV Files (*.csv);;All Files (*.*)"
)
layout.addWidget(self.sampling_csv_file)
# 模型目录（用于独立运行）
self.models_dir_file = FileSelectWidget(
"模型目录:",
"Directories;;All Files (*.*)"
)
self.models_dir_file.label.setText("模型目录:")
self.models_dir_file.browse_btn.clicked.disconnect()
self.models_dir_file.browse_btn.clicked.connect(self.browse_models_dir)
layout.addWidget(self.models_dir_file)
# 参数设置
params_group = QGroupBox("预测参数")
params_layout = QFormLayout()
self.metric = QComboBox()
self.metric.addItems(['test_r2', 'test_rmse', 'test_mae'])
params_layout.addRow("模型选择指标:", self.metric)
self.prediction_column = QLineEdit()
self.prediction_column.setText("prediction")
params_layout.addRow("预测列名:", self.prediction_column)
params_group.setLayout(params_layout)
layout.addWidget(params_group)
# 输出路径
self.output_file = FileSelectWidget(
"输出路径:",
"CSV Files (*.csv);;All Files (*.*)"
)
layout.addWidget(self.output_file)
# 启用步骤
self.enable_checkbox = QCheckBox("启用此步骤")
self.enable_checkbox.setChecked(True)
layout.addWidget(self.enable_checkbox)
# 独立运行按钮
self.run_btn = QPushButton("独立运行此步骤")
self.run_btn.setStyleSheet(ModernStylesheet.get_button_stylesheet('success'))
self.run_btn.clicked.connect(self.run_step)
layout.addWidget(self.run_btn)
layout.addStretch()
self.setLayout(layout)
def _on_model_source_changed(self, checked: bool):
"""单选按钮切换：控制外部模型文件选择控件的显示/隐藏"""
if not checked:
return
is_external = self.use_external_model.isChecked()
self.external_model_widget.setVisible(is_external)
self.model_list_group.setVisible(is_external)
if not is_external:
self.external_models_dict = {}
self.external_model_dir = ""
self._clear_model_list()
def _scan_external_model_dir(self):
"""浏览模型母文件夹，自动扫描子目录中的 .joblib 文件"""
default = self._get_default_work_dir()
if default:
default = os.path.join(default, "9_supervised_modeling")
dir_path = QFileDialog.getExistingDirectory(
self,
"选择模型母文件夹",
default,
)
if not dir_path:
return
self.external_model_dir = dir_path
models_found = {}
errors = []
try:
import joblib
for subentry in os.scandir(dir_path):
if not subentry.is_dir():
continue
subdir_name = subentry.name
joblib_files = [
f for f in os.scandir(subentry.path)
if f.is_file() and f.name.lower().endswith(".joblib")
]
if not joblib_files:
continue
joblib_path = joblib_files[0].path
try:
loaded = joblib.load(joblib_path)
if isinstance(loaded, dict) and "model" in loaded:
model_obj = loaded["model"]
elif hasattr(loaded, "predict"):
model_obj = loaded
else:
errors.append(f"{subdir_name}: 无法识别的格式 {type(loaded).__name__}")
continue
models_found[subdir_name] = model_obj
except Exception as e:
errors.append(f"{subdir_name}: {type(e).__name__}: {e}")
except Exception as e:
QMessageBox.warning(
self,
"扫描失败",
f"遍历模型目录时发生错误：\n{type(e).__name__}: {e}",
)
return
if not models_found:
QMessageBox.warning(
self,
"未找到模型",
f"在「{dir_path}」的子目录中未发现任何 .joblib 文件。\n"
"请确认每个水质参数对应一个子文件夹，内含 .joblib 模型文件。",
)
self.external_model_widget.set_path("")
self.external_models_dict = {}
self._clear_model_list()
return
self.external_models_dict = models_found
self._populate_model_list(models_found)
names = sorted(models_found.keys())
display = f"已识别到 {len(names)} 个模型: {', '.join(names)}"
self.external_model_widget.set_path(display)
self.external_model_widget.line_edit.setStyleSheet("color: #0078D7; font-weight: bold;")
err_lines = "\n".join(errors) if errors else "无"
QMessageBox.information(
self,
"模型扫描完成",
f"成功加载 {len(models_found)} 个模型：\n{display}\n\n"
f"加载失败 {len(errors)} 个：\n{err_lines}",
)
def _populate_model_list(self, models_dict):
"""将扫描到的模型填充到 QListWidget，每个条目可勾选，默认全选"""
self.model_list.clear()
for name in sorted(models_dict.keys()):
item = QListWidgetItem(name)
item.setFlags(item.flags() | Qt.ItemIsUserCheckable)
item.setCheckState(Qt.Checked)
self.model_list.addItem(item)
def _clear_model_list(self):
"""清空模型列表"""
self.model_list.clear()
def _select_all_models(self):
"""全选：设置所有条目为 Checked"""
for i in range(self.model_list.count()):
self.model_list.item(i).setCheckState(Qt.Checked)
def _select_none_models(self):
"""全不选：设置所有条目为 Unchecked"""
for i in range(self.model_list.count()):
self.model_list.item(i).setCheckState(Qt.Unchecked)
def _get_checked_models_dict(self):
"""从列表中提取用户勾选的模型，组装成字典返回"""
result = {}
for i in range(self.model_list.count()):
item = self.model_list.item(i)
if item.checkState() == Qt.Checked:
name = item.text()
if name in self.external_models_dict:
result[name] = self.external_models_dict[name]
return result
def update_from_config(self, work_dir=None, pipeline=None):
"""从全局配置自动填充采样光谱和模型目录
Args:
work_dir: 工作目录路径
pipeline: Pipeline 实例（未使用，保留接口兼容性）
"""
try:
import traceback
if work_dir:
self.work_dir = work_dir
elif hasattr(self, 'work_dir') and self.work_dir:
pass
else:
self.work_dir = None
main_window = self.window()
# 1. 尝试从 Step4（采样点布设）读取全湖采样点 CSV 路径
if main_window and hasattr(main_window, 'step4_sampling_panel'):
step4_widget = getattr(main_window.step4_sampling_panel, 'output_file', None)
step4_output_path = ""
if hasattr(step4_widget, 'get_path'):
step4_output_path = step4_widget.get_path() or ""
elif hasattr(step4_widget, 'text'):
step4_output_path = step4_widget.text() or ""
if step4_output_path:
if not os.path.isabs(step4_output_path):
step4_output_path = os.path.join(self.work_dir or '', step4_output_path).replace('\\', '/')
existing = self.sampling_csv_file.get_path()
if not existing or not existing.strip():
self.sampling_csv_file.set_path(step4_output_path)
# 2. 尝试从 Step9（监督建模）读取模型目录
if main_window and hasattr(main_window, 'step9_panel'):
step9_widget = getattr(main_window.step9_panel, 'output_dir', None)
step9_models_dir = ""
if hasattr(step9_widget, 'get_path'):
step9_models_dir = step9_widget.get_path() or ""
elif hasattr(step9_widget, 'text'):
step9_models_dir = step9_widget.text() or ""
if step9_models_dir:
if not os.path.isabs(step9_models_dir):
step9_models_dir = os.path.join(self.work_dir or '', step9_models_dir).replace('\\', '/')
existing_models = self.models_dir_file.get_path()
if not existing_models or not existing_models.strip():
self.models_dir_file.set_path(step9_models_dir)
# 3. 自动填充输出路径（机器学习预测目录）
if self.work_dir:
output_dir = os.path.join(self.work_dir, "11_ml_prediction")
os.makedirs(output_dir, exist_ok=True)
existing_out = self.output_file.get_path()
if not existing_out or not existing_out.strip():
self.output_file.set_path(output_dir)
except Exception as e:
import traceback
print(f"【{self.__class__.__name__}】自动填充失败，跳过: {e}")
traceback.print_exc()
def _get_default_work_dir(self):
"""获取 work_dir，优先用 panel 自身缓存的，否则尝试从主窗口取"""
if hasattr(self, 'work_dir') and self.work_dir:
return str(self.work_dir)
mw = self.window()
if mw and hasattr(mw, 'work_dir') and mw.work_dir:
return str(mw.work_dir)
return ""
def browse_models_dir(self):
"""浏览模型目录"""
default = self._get_default_work_dir()
if default:
default = os.path.join(default, "9_supervised_modeling")
dir_path = QFileDialog.getExistingDirectory(self, "选择模型目录", default)
if dir_path:
self.models_dir_file.set_path(dir_path)
def get_config(self):
"""获取配置"""
config = {
'metric': self.metric.currentText(),
'prediction_column': self.prediction_column.text(),
}
sampling_csv_path = self.sampling_csv_file.get_path()
if sampling_csv_path:
config['sampling_csv_path'] = sampling_csv_path
models_dir = self.models_dir_file.get_path()
if models_dir:
config['models_dir'] = models_dir
output_path = self.output_file.get_path()
if output_path:
config['output_path'] = output_path
return config
def set_config(self, config):
"""设置配置"""
if 'metric' in config:
idx = self.metric.findText(config['metric'])
if idx >= 0:
self.metric.setCurrentIndex(idx)
if 'prediction_column' in config:
self.prediction_column.setText(config['prediction_column'])
if 'sampling_csv_path' in config:
self.sampling_csv_file.set_path(config['sampling_csv_path'])
if 'models_dir' in config:
self.models_dir_file.set_path(config['models_dir'])
if 'output_path' in config:
self.output_file.set_path(config['output_path'])
def run_step(self):
"""独立运行步骤11"""
sampling_csv_path = self.sampling_csv_file.get_path()
if not sampling_csv_path:
QMessageBox.warning(self, "输入错误", "请选择采样光谱CSV文件！")
return
# 外部模型优先：用户选择了"导入本地预训练模型"
if self.use_external_model.isChecked():
if not self.external_models_dict:
QMessageBox.warning(
self,
"模型未加载",
"请先点击「浏览...」按钮选择模型母文件夹！",
)
return
checked_dict = self._get_checked_models_dict()
if not checked_dict:
QMessageBox.warning(
self,
"未选择模型",
"请至少勾选一个模型参与预测！",
)
return
main_window = self.window()
if hasattr(main_window, 'run_single_step'):
config = {
'step11_ml': self.get_config(),
'_external_models_dict': checked_dict,
'_external_model_dir': self.external_model_dir,
}
main_window.run_single_step('step11_ml', config)
return
# 默认流程：使用模型目录
models_dir = self.models_dir_file.get_path()
if not models_dir:
QMessageBox.warning(self, "输入错误", "请选择模型目录！")
return
main_window = self.window()
if hasattr(main_window, 'run_single_step'):
config = {'step11_ml': self.get_config()}
main_window.run_single_step('step11_ml', config)