WQ_GUI/src/gui/panels/step5_panel.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Step5 面板 - 光谱提取
"""

import os

from PyQt5.QtWidgets import (
    QWidget, QVBoxLayout, QGroupBox, QFormLayout, QLabel,
    QSpinBox, QPushButton, QCheckBox, QMessageBox,
)
from PyQt5.QtGui import QFont
from PyQt5.QtCore import Qt

from src.gui.components.custom_widgets import FileSelectWidget
from src.gui.styles import ModernStylesheet


class Step5Panel(QWidget):
    """步骤5：光谱提取"""
    def __init__(self, parent=None):
        super().__init__(parent)
        self.init_ui()

    def init_ui(self):
        layout = QVBoxLayout()

        # 标题
        title = QLabel("步骤5：训练样本光谱提取")
        title.setFont(QFont("Arial", 12, QFont.Bold))
        layout.addWidget(title)

        # 去耀斑影像文件（用于独立运行）
        self.deglint_img_file = FileSelectWidget(
            "去耀斑影像:",
            "Image Files (*.bsq *.dat *.tif);;All Files (*.*)"
        )
        layout.addWidget(self.deglint_img_file)

        # 处理后的CSV文件（用于独立运行）
        self.csv_file = FileSelectWidget(
            "处理后CSV:",
            "CSV Files (*.csv);;All Files (*.*)"
        )
        layout.addWidget(self.csv_file)

        # 水体掩膜文件（可选，用于独立运行）
        self.water_mask_file = FileSelectWidget(
            "水体掩膜:",
            "Mask Files (*.dat *.tif);;All Files (*.*)"
        )
        self.water_mask_file.line_edit.setPlaceholderText("可选，如不选择则自动生成")
        layout.addWidget(self.water_mask_file)

        self.glint_mask_file = FileSelectWidget(
            "耀斑掩膜:",
            "Mask Files (*.dat *.tif);;All Files (*.*)"
        )
        layout.addWidget(self.glint_mask_file)
        step5_glint_hint = QLabel(
            "提示：独立运行本步骤时必须选择耀斑掩膜（通常为步骤2输出的 severe_glint_area.dat），用于在采样时避开耀斑像元。"
        )
        step5_glint_hint.setWordWrap(True)
        step5_glint_hint.setStyleSheet("color: #666; font-size: 10px;")
        layout.addWidget(step5_glint_hint)

        # 参数设置
        params_group = QGroupBox("提取参数")
        params_layout = QFormLayout()

        self.radius = QSpinBox()
        self.radius.setRange(1, 50)
        self.radius.setValue(5)
        params_layout.addRow("采样半径(像素):", self.radius)

        self.source_epsg = QSpinBox()
        self.source_epsg.setRange(1000, 99999)
        self.source_epsg.setValue(4326)
        params_layout.addRow("源坐标系EPSG:", self.source_epsg)

        params_group.setLayout(params_layout)
        layout.addWidget(params_group)

        # 输出文件路径
        self.output_file = FileSelectWidget(
            "输出训练数据:",
            "CSV Files (*.csv);;All Files (*.*)"
        )
        self.output_file.line_edit.setPlaceholderText("training_spectra.csv")
        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)
        # 信号连接：影像文件路径变化时动态更新波段范围

    def get_config(self):
        """获取配置"""
        config = {
            'radius': self.radius.value(),
            'source_epsg': self.source_epsg.value(),
        }
        # 添加独立运行所需的文件路径
        deglint_img_path = self.deglint_img_file.get_path()
        if deglint_img_path:
            config['deglint_img_path'] = deglint_img_path
        csv_path = self.csv_file.get_path()
        if csv_path:
            config['csv_path'] = csv_path
        water_mask_path = self.water_mask_file.get_path()
        if water_mask_path:
            config['boundary_path'] = water_mask_path
        glint_mask_path = self.glint_mask_file.get_path()
        if glint_mask_path:
            config['glint_mask_path'] = glint_mask_path
        # 注意：step5_extract_training_spectra 不接受 output_path / training_csv_path
        # 参数，输出路径由 pipeline 内部根据 training_spectra_dir 自动生成。
        return config

    def set_config(self, config):
        """设置配置"""
        if 'radius' in config:
            self.radius.setValue(config['radius'])
        if 'source_epsg' in config:
            self.source_epsg.setValue(config['source_epsg'])
        if 'deglint_img_path' in config:
            self.deglint_img_file.set_path(config['deglint_img_path'])
        if 'csv_path' in config:
            self.csv_file.set_path(config['csv_path'])
        if 'boundary_path' in config:
            self.water_mask_file.set_path(config['boundary_path'])
        if 'glint_mask_path' in config:
            self.glint_mask_file.set_path(config['glint_mask_path'])

    def update_from_config(self, work_dir=None, pipeline=None):
        """从全局配置/Pipeline 或 Step1Panel 自动填充路径，实现上下游数据流转

        Args:
            work_dir: 工作目录路径
            pipeline: Pipeline 实例，用于获取步骤1生成的水域掩膜路径
        """
        # 保存工作目录引用
        if work_dir:
            self.work_dir = work_dir
        elif hasattr(self, 'work_dir') and self.work_dir:
            pass
        else:
            self.work_dir = None

        # 1. 尝试从 Pipeline 获取水体掩膜路径
        mask_path = None
        if pipeline and hasattr(pipeline, 'water_mask_path') and pipeline.water_mask_path:
            mask_path = pipeline.water_mask_path

        # 2. 如果 Pipeline 中没有，则尝试直接从 Step1 界面读取
        main_window = self.window()
        if not mask_path and hasattr(main_window, 'step1_panel'):
            if main_window.step1_panel.use_ndwi_radio.isChecked():
                mask_path = main_window.step1_panel.output_file.get_path()
            else:
                mask_path = main_window.step1_panel.mask_file.get_path()
            # 若为相对路径，使用 work_dir 合成为绝对路径
            if mask_path and not os.path.isabs(mask_path):
                mask_path = os.path.join(self.work_dir or '', mask_path).replace('\\', '/')

        # 填充水体掩膜路径
        if mask_path:
            # 若为相对路径，使用 work_dir 合成为绝对路径
            if not os.path.isabs(mask_path):
                mask_path = os.path.join(self.work_dir or '', mask_path).replace('\\', '/')
            self.water_mask_file.set_path(mask_path)

        # 3. 尝试从 Step2 界面读取耀斑掩膜路径
        main_window = self.window()
        if hasattr(main_window, 'step2_panel'):
            glint_path = main_window.step2_panel.output_file.get_path()
            if glint_path:
                # 若为相对路径，使用 work_dir 合成为绝对路径
                if not os.path.isabs(glint_path):
                    glint_path = os.path.join(self.work_dir or '', glint_path).replace('\\', '/')
                self.glint_mask_file.set_path(glint_path)

        # 4. 自动填充输出路径（基于工作目录）
        if self.work_dir:
            output_dir = os.path.join(self.work_dir, "5_training_spectra")
            os.makedirs(output_dir, exist_ok=True)
            default_output_path = os.path.join(output_dir, "training_spectra.csv").replace('\\', '/')
            self.output_file.set_path(default_output_path)
        else:
            self.output_file.set_path("")

        # 5. 尝试从 Step4 界面读取已处理的水质参数 CSV 路径，自动填入本面板
        main_window = self.window()
        if main_window and hasattr(main_window, 'step4_panel'):
            step4_output_path = main_window.step4_panel.output_file.get_path()
            if step4_output_path:
                # 若为相对路径，使用 work_dir 合成为绝对路径
                if not os.path.isabs(step4_output_path):
                    step4_output_path = os.path.join(self.work_dir or '', step4_output_path).replace('\\', '/')
                existing_csv = self.csv_file.get_path()
                if not existing_csv or not existing_csv.strip():
                    self.csv_file.set_path(step4_output_path)

    def run_step(self):
        """独立运行步骤5"""
        # 验证输入
        deglint_img_path = self.deglint_img_file.get_path()
        csv_path = self.csv_file.get_path()
        if not deglint_img_path:
            QMessageBox.warning(self, "输入错误", "请选择去耀斑影像文件！")
            return
        if not csv_path:
            QMessageBox.warning(self, "输入错误", "请选择处理后的CSV文件！")
            return
        if not self.glint_mask_file.get_path():
            QMessageBox.warning(
                self,
                "输入错误",
                "独立运行光谱特征提取时，必须选择耀斑掩膜文件。\n\n"
                "请提供与去耀斑影像对应的耀斑二值掩膜（一般为步骤2输出的 severe_glint_area.dat）。",
            )
            return

        # 获取主窗口并运行步骤
        main_window = self.window()
        if hasattr(main_window, 'run_single_step'):
            config = {'step5': self.get_config()}
            main_window.run_single_step('step5', config)