239 lines
8.6 KiB
Python
239 lines
8.6 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Step10 面板 - 浓度反演（基于 QAA 物理反演的二次反演）
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"""
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import os
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from PyQt5.QtWidgets import (
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QWidget, QVBoxLayout, QGroupBox, QFormLayout, QHBoxLayout,
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QLabel, QCheckBox, QPushButton, QMessageBox, QComboBox,
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QFileDialog,
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)
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from PyQt5.QtGui import QFont
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from PyQt5.QtCore import Qt
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from src.gui.components.custom_widgets import FileSelectWidget
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from src.gui.styles import ModernStylesheet
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class Step10ConcentrationPanel(QWidget):
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"""步骤10：浓度反演（物理模型二次反演）"""
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def __init__(self, parent=None):
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super().__init__(parent)
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self.init_ui()
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def init_ui(self):
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layout = QVBoxLayout()
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title = QLabel("步骤10：浓度反演（物理模型二次反演）")
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title.setFont(QFont("Arial", 12, QFont.Bold))
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layout.addWidget(title)
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# 输入 QAA 结果文件
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self.input_file = FileSelectWidget(
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"QAA 结果文件:",
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"CSV Files (*.csv);;All Files (*.*)"
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)
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self.input_file.line_edit.setPlaceholderText(
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"选择 Step 8 输出的 a_lambda_results.csv"
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)
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layout.addWidget(self.input_file)
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# 输出路径
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self.output_file = FileSelectWidget(
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"输出文件:",
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"CSV Files (*.csv);;All Files (*.*)",
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mode="save"
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)
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self.output_file.line_edit.setPlaceholderText(
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"自动生成到 9_Concentration，或手动指定..."
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)
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layout.addWidget(self.output_file)
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# 选择反演指标
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indicators_group = QGroupBox("选择反演指标")
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indicators_layout = QFormLayout()
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self.chla_check = QCheckBox("叶绿素 A (Chl-a)")
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self.chla_check.setChecked(True)
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self.cdom_check = QCheckBox("CDOM 吸收系数 a_dg(440)")
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self.cdom_check.setChecked(True)
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self.turbidity_check = QCheckBox("浊度 (Turbidity)")
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self.turbidity_check.setChecked(True)
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self.tn_check = QCheckBox("总氮 (TN)")
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self.tn_check.setChecked(True)
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self.tp_check = QCheckBox("总磷 (TP)")
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self.tp_check.setChecked(True)
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chk_layout = QVBoxLayout()
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chk_layout.setSpacing(6)
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for cb in [self.chla_check, self.cdom_check,
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self.turbidity_check, self.tn_check, self.tp_check]:
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chk_layout.addWidget(cb)
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indicators_layout.addRow("水质参数:", chk_layout)
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indicators_group.setLayout(indicators_layout)
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layout.addWidget(indicators_group)
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# 水体类型（用于比吸收系数自适应）
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lake_group = QGroupBox("水体类型")
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lake_layout = QFormLayout()
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self.lake_case_combo = QComboBox()
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self.lake_case_combo.addItems([
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"通用 (medium)",
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"oligotrophic_clear（寡营养清澈）",
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"bloom_dominant（藻华主导）",
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"turbid_mixed（高浊混合）",
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])
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self.lake_case_combo.setCurrentIndex(0)
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lake_layout.addRow("水体类型:", self.lake_case_combo)
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lake_group.setLayout(lake_layout)
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layout.addWidget(lake_group)
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# 启用步骤
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self.enable_checkbox = QCheckBox("启用此步骤")
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self.enable_checkbox.setChecked(False)
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layout.addWidget(self.enable_checkbox)
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# 独立运行按钮
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self.run_btn = QPushButton("执行浓度反演")
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self.run_btn.setStyleSheet(ModernStylesheet.get_button_stylesheet('success'))
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self.run_btn.clicked.connect(self.run_step)
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layout.addWidget(self.run_btn)
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layout.addStretch()
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self.setLayout(layout)
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def _get_default_work_dir(self) -> str:
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if hasattr(self, 'work_dir') and self.work_dir:
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return str(self.work_dir)
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mw = self.window()
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if mw and hasattr(mw, 'work_dir') and mw.work_dir:
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return str(mw.work_dir)
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return ""
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def browse_output_path(self):
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current = self.output_file.get_path().strip()
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if current:
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initial_dir = os.path.dirname(current)
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initial_file = os.path.basename(current)
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else:
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initial_dir = ""
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initial_file = ""
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if not initial_dir or not os.path.isdir(initial_dir):
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work_dir = self._get_default_work_dir()
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initial_dir = os.path.join(work_dir, "9_Concentration") if work_dir else ""
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if initial_dir and not os.path.isdir(initial_dir):
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os.makedirs(initial_dir, exist_ok=True)
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file_path, _ = QFileDialog.getSaveFileName(
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self, "保存输出文件",
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os.path.join(initial_dir, initial_file) if initial_file else initial_dir,
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"CSV Files (*.csv);;All Files (*.*)"
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)
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if file_path:
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self.output_file.set_path(file_path)
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def get_config(self) -> dict:
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enabled_indicators = []
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if self.chla_check.isChecked():
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enabled_indicators.append('chla')
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if self.cdom_check.isChecked():
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enabled_indicators.append('cdom')
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if self.turbidity_check.isChecked():
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enabled_indicators.append('turbidity')
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if self.tn_check.isChecked():
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enabled_indicators.append('tn')
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if self.tp_check.isChecked():
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enabled_indicators.append('tp')
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lake_case_map = {
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0: "medium",
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1: "oligotrophic_clear",
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2: "bloom_dominant",
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3: "turbid_mixed",
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}
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lake_case = lake_case_map.get(self.lake_case_combo.currentIndex(), "medium")
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return {
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'input_csv': self.input_file.get_path(),
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'output_csv': self.output_file.get_path(),
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'enabled_indicators': enabled_indicators,
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'lake_case': lake_case,
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}
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def set_config(self, config: dict):
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if 'input_csv' in config:
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self.input_file.set_path(config['input_csv'])
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if 'output_csv' in config:
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self.output_file.set_path(config['output_csv'])
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def update_from_config(self, work_dir=None, pipeline=None):
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if work_dir:
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self.work_dir = work_dir
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elif hasattr(self, 'work_dir') and self.work_dir:
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pass
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else:
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self.work_dir = None
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if self.work_dir:
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step8_dir = os.path.join(self.work_dir, "8_QAA_Inversion")
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if os.path.isdir(step8_dir):
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candidates = []
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for f in sorted(os.listdir(step8_dir)):
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if f.lower().endswith('.csv'):
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candidates.append(os.path.join(step8_dir, f))
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if candidates:
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self.input_file.set_path(candidates[0])
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conc_dir = os.path.join(self.work_dir, "9_Concentration")
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os.makedirs(conc_dir, exist_ok=True)
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output_path = os.path.join(conc_dir, "final_concentrations.csv").replace('\\', '/')
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self.output_file.set_path(output_path)
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def run_step(self):
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input_path = self.input_file.get_path()
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if not input_path:
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QMessageBox.warning(self, "输入错误", "请选择 QAA 结果文件！")
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return
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main_window = self.window()
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if hasattr(main_window, 'run_single_step'):
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config = {'step9_concentration': self.get_config()}
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main_window.run_single_step('step9_concentration', config)
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else:
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self._run_concentration_direct()
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def _run_concentration_direct(self):
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from src.core.algorithms.concentration_inversion import ConcentrationPipeline
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input_path = self.input_file.get_path()
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output_path = self.output_file.get_path()
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if not output_path:
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work_dir = self._get_default_work_dir()
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conc_dir = os.path.join(work_dir, "9_Concentration") if work_dir else ""
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if conc_dir and not os.path.isdir(conc_dir):
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os.makedirs(conc_dir, exist_ok=True)
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output_path = os.path.join(conc_dir, "final_concentrations.csv").replace('\\', '/')
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lake_case_map = {
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0: "medium",
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1: "oligotrophic_clear",
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2: "bloom_dominant",
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3: "turbid_mixed",
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}
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lake_case = lake_case_map.get(self.lake_case_combo.currentIndex(), "medium")
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try:
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pipeline = ConcentrationPipeline(lake_case=lake_case)
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result_csv = pipeline.run_pipeline(input_path, output_path)
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QMessageBox.information(
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self, "执行成功",
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f"浓度反演完成！\n结果已保存到:\n{result_csv}"
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)
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except Exception as e:
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QMessageBox.critical(self, "执行错误", f"浓度反演失败:\n{str(e)}") |