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界面优化

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DXC
2026-05-07 14:23:58 +08:00
parent dc33ee260d
commit c12b9d8d8a
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src/gui/panels/step9_panel.py Normal file
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Step9 面板 - 分布图生成
"""
import os
import traceback
from pathlib import Path
from typing import List, Optional
from PyQt5.QtCore import Qt, QThread, pyqtSignal
from PyQt5.QtWidgets import (
QWidget, QVBoxLayout, QGroupBox, QFormLayout, QHBoxLayout,
QLabel, QCheckBox, QPushButton, QLineEdit, QDoubleSpinBox,
QRadioButton, QButtonGroup, QMessageBox, QFileDialog,
)
from src.gui.components.custom_widgets import FileSelectWidget
from src.gui.styles import ModernStylesheet
# Pipeline 可用性（与 core/worker_thread.py 保持一致）
try:
from src.core.water_quality_inversion_pipeline_GUI import WaterQualityInversionPipeline
PIPELINE_AVAILABLE = True
except ImportError:
PIPELINE_AVAILABLE = False
class Step9BatchThread(QThread):
"""专题图：按文件夹内多个预测 CSV 批量生成分布图。"""
finished_ok = pyqtSignal(int)
failed = pyqtSignal(str)
log_message = pyqtSignal(str, str)
def __init__(self, work_dir: str, csv_paths: List[str], step9_kwargs: dict, output_dir_optional: Optional[str]):
super().__init__()
self.work_dir = work_dir
self.csv_paths = csv_paths
self.step9_kwargs = step9_kwargs
self.output_dir_optional = (output_dir_optional or "").strip() or None
def run(self):
mpl_prev = None
try:
import matplotlib
mpl_prev = matplotlib.get_backend()
except Exception:
pass
try:
import matplotlib.pyplot as plt
plt.switch_backend("Agg")
except Exception:
mpl_prev = None
try:
from src.core.water_quality_inversion_pipeline_GUI import WaterQualityInversionPipeline
pipeline = WaterQualityInversionPipeline(work_dir=self.work_dir)
n = len(self.csv_paths)
for i, csv_p in enumerate(self.csv_paths):
self.log_message.emit(f"专题图 [{i + 1}/{n}] {csv_p}", "info")
kw = {**self.step9_kwargs, "prediction_csv_path": csv_p, "skip_dependency_check": True}
if self.output_dir_optional:
stem = Path(csv_p).stem
kw["output_image_path"] = str(Path(self.output_dir_optional) / f"{stem}_distribution.png")
else:
kw["output_image_path"] = None
pipeline.step9_generate_distribution_map(**kw)
self.finished_ok.emit(n)
except Exception as e:
self.failed.emit(f"{e}\n{traceback.format_exc()}")
finally:
if mpl_prev:
try:
import matplotlib.pyplot as plt
plt.switch_backend(mpl_prev)
except Exception:
pass
class Step9Panel(QWidget):
"""步骤9：分布图生成"""
def __init__(self, parent=None):
super().__init__(parent)
self._batch_thread = None
self.init_ui()
def init_ui(self):
layout = QVBoxLayout()
hint = QLabel(
"独立运行：可选「单个 CSV」或「文件夹批量」（扫描目录下所有 .csv）。"
"完整流程中预测 CSV 由步骤11、12、13 自动传入，无需在此选择。"
)
hint.setWordWrap(True)
hint.setStyleSheet(
f"color: {ModernStylesheet.COLORS.get('text_secondary', '#666')};"
)
layout.addWidget(hint)
mode_row = QHBoxLayout()
self.mode_single_rb = QRadioButton("单个 CSV 文件")
self.mode_folder_rb = QRadioButton("文件夹批量")
self.mode_single_rb.setChecked(True)
self._mode_group = QButtonGroup(self)
self._mode_group.addButton(self.mode_single_rb, 0)
self._mode_group.addButton(self.mode_folder_rb, 1)
self.mode_single_rb.toggled.connect(self._on_step9_mode_changed)
self.mode_folder_rb.toggled.connect(self._on_step9_mode_changed)
mode_row.addWidget(self.mode_single_rb)
mode_row.addWidget(self.mode_folder_rb)
mode_row.addStretch()
layout.addLayout(mode_row)
self.prediction_csv_file = FileSelectWidget(
"预测结果CSV:",
"CSV Files (*.csv);;All Files (*.*)"
)
layout.addWidget(self.prediction_csv_file)
folder_row = QHBoxLayout()
self.prediction_csv_dir_label = QLabel("预测CSV目录:")
self.prediction_csv_dir_label.setMinimumWidth(120)
self.prediction_csv_dir_edit = QLineEdit()
self.prediction_csv_dir_edit.setPlaceholderText("选择含多个预测结果 CSV 的文件夹…")
pred_dir_btn = QPushButton("浏览…")
pred_dir_btn.setMaximumWidth(80)
pred_dir_btn.clicked.connect(self.browse_prediction_csv_dir)
folder_row.addWidget(self.prediction_csv_dir_label)
folder_row.addWidget(self.prediction_csv_dir_edit, 1)
folder_row.addWidget(pred_dir_btn)
self._folder_row_widget = QWidget()
self._folder_row_widget.setLayout(folder_row)
layout.addWidget(self._folder_row_widget)
self.recursive_csv_cb = QCheckBox("包含子文件夹（递归扫描 *.csv）")
layout.addWidget(self.recursive_csv_cb)
self.boundary_file = FileSelectWidget(
"边界文件:",
"Shapefiles (*.shp);;All Files (*.*)"
)
layout.addWidget(self.boundary_file)
# 参数设置
params_group = QGroupBox("生成参数")
params_layout = QFormLayout()
self.resolution = QDoubleSpinBox()
self.resolution.setRange(1, 1000)
self.resolution.setValue(30)
params_layout.addRow("分辨率(米):", self.resolution)
self.input_crs = QLineEdit()
self.input_crs.setText("EPSG:32651")
params_layout.addRow("输入坐标系:", self.input_crs)
self.output_crs = QLineEdit()
self.output_crs.setText("EPSG:4326")
params_layout.addRow("输出坐标系:", self.output_crs)
self.show_points = QCheckBox("显示采样点")
params_layout.addRow("", self.show_points)
self.use_diffusion = QCheckBox("启用距离扩散")
self.use_diffusion.setChecked(True)
params_layout.addRow("", self.use_diffusion)
params_group.setLayout(params_layout)
layout.addWidget(params_group)
# 输出目录
self.output_dir = FileSelectWidget(
"输出分布图目录:",
"Directories;;All Files (*.*)"
)
self.output_dir.line_edit.setPlaceholderText("留空→工作目录/14_visualization")
self.output_dir.browse_btn.clicked.disconnect()
self.output_dir.browse_btn.clicked.connect(self.browse_output_dir)
layout.addWidget(self.output_dir)
# 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_button = QPushButton("独立运行此步骤")
self.run_button.setStyleSheet(ModernStylesheet.get_button_stylesheet('success'))
self.run_button.clicked.connect(self.run_step)
layout.addWidget(self.run_button)
layout.addStretch()
self.setLayout(layout)
self._on_step9_mode_changed()
def _on_step9_mode_changed(self):
folder_mode = self.mode_folder_rb.isChecked()
self.prediction_csv_file.setEnabled(not folder_mode)
self._folder_row_widget.setEnabled(folder_mode)
self.recursive_csv_cb.setEnabled(folder_mode)
def browse_prediction_csv_dir(self):
d = QFileDialog.getExistingDirectory(self, "选择预测结果 CSV 所在文件夹")
if d:
self.prediction_csv_dir_edit.setText(d)
def _collect_csv_paths_from_folder(self) -> List[str]:
folder = (self.prediction_csv_dir_edit.text() or "").strip()
if not folder or not os.path.isdir(folder):
return []
root = Path(folder)
if self.recursive_csv_cb.isChecked():
files = sorted(root.rglob("*.csv"))
else:
files = sorted(root.glob("*.csv"))
return [str(p) for p in files if p.is_file()]
def _step9_base_pipeline_kwargs(self) -> dict:
return {
'boundary_shp_path': self.boundary_file.get_path(),
'resolution': self.resolution.value(),
'input_crs': self.input_crs.text(),
'output_crs': self.output_crs.text(),
'show_sample_points': self.show_points.isChecked(),
'use_distance_diffusion': self.use_diffusion.isChecked(),
}
def get_config(self):
pred_csv = (self.prediction_csv_file.get_path() or "").strip()
folder_mode = self.mode_folder_rb.isChecked()
pred_dir = (self.prediction_csv_dir_edit.text() or "").strip()
config = {
'step9_batch_mode': 'folder' if folder_mode else 'single',
'prediction_csv_dir': pred_dir if pred_dir else None,
'recursive_csv_scan': self.recursive_csv_cb.isChecked(),
'prediction_csv_path': None if folder_mode else (pred_csv if pred_csv else None),
'boundary_shp_path': self.boundary_file.get_path(),
'resolution': self.resolution.value(),
'input_crs': self.input_crs.text(),
'output_crs': self.output_crs.text(),
'show_sample_points': self.show_points.isChecked(),
'use_distance_diffusion': self.use_diffusion.isChecked(),
}
out_dir = (self.output_dir.get_path() or "").strip()
if not folder_mode and pred_csv and out_dir:
stem = Path(pred_csv).stem
config['output_image_path'] = str(Path(out_dir) / f"{stem}_distribution.png")
else:
config['output_image_path'] = None
return config
def set_config(self, config):
mode = config.get('step9_batch_mode', 'single')
if mode == 'folder':
self.mode_folder_rb.setChecked(True)
else:
self.mode_single_rb.setChecked(True)
if config.get('prediction_csv_dir'):
self.prediction_csv_dir_edit.setText(str(config['prediction_csv_dir']))
if 'recursive_csv_scan' in config:
self.recursive_csv_cb.setChecked(bool(config['recursive_csv_scan']))
if 'prediction_csv_path' in config and config['prediction_csv_path']:
self.prediction_csv_file.set_path(str(config['prediction_csv_path']))
if 'boundary_shp_path' in config:
self.boundary_file.set_path(config['boundary_shp_path'])
if 'resolution' in config:
self.resolution.setValue(config['resolution'])
if 'input_crs' in config:
self.input_crs.setText(config['input_crs'])
if 'output_crs' in config:
self.output_crs.setText(config['output_crs'])
if 'show_sample_points' in config:
self.show_points.setChecked(config['show_sample_points'])
if 'use_distance_diffusion' in config:
self.use_diffusion.setChecked(config['use_distance_diffusion'])
if 'output_dir' in config and config['output_dir']:
self.output_dir.set_path(str(config['output_dir']))
elif config.get('output_image_path'):
p = Path(str(config['output_image_path']))
if p.parent and str(p.parent) != '.':
self.output_dir.set_path(str(p.parent))
def browse_output_dir(self):
"""浏览输出目录"""
dir_path = QFileDialog.getExistingDirectory(self, "选择输出模型目录", "")
if dir_path:
self.output_dir.set_path(dir_path)
def run_step(self):
"""独立运行步骤9"""
if self._batch_thread and self._batch_thread.isRunning():
QMessageBox.information(self, "提示", "批量任务正在运行，请稍候。")
return
boundary_shp_path = self.boundary_file.get_path()
if not boundary_shp_path:
QMessageBox.warning(self, "输入验证失败", "请选择边界文件")
return
if not os.path.exists(boundary_shp_path):
QMessageBox.warning(self, "输入验证失败", "边界文件不存在")
return
parent = self.parent()
while parent and not hasattr(parent, 'run_single_step'):
parent = parent.parent()
if not parent or not hasattr(parent, 'run_single_step'):
QMessageBox.critical(self, "错误", "无法找到父级GUI对象")
return
if self.mode_folder_rb.isChecked():
csv_list = self._collect_csv_paths_from_folder()
if not csv_list:
QMessageBox.warning(
self,
"输入验证失败",
"所选文件夹中未找到 .csv 文件，或目录无效。\n"
"可勾选「包含子文件夹」以递归扫描。",
)
return
if not PIPELINE_AVAILABLE:
QMessageBox.critical(self, "错误", "Pipeline 模块不可用，无法批量生成专题图。")
return
work_dir = getattr(parent, "work_dir", None) or "./work_dir"
work_dir = str(work_dir)
base_kw = self._step9_base_pipeline_kwargs()
out_dir_opt = (self.output_dir.get_path() or "").strip() or None
self.run_button.setEnabled(False)
self._batch_thread = Step9BatchThread(work_dir, csv_list, base_kw, out_dir_opt)
main_win = parent
def _batch_log(msg, lvl):
if hasattr(main_win, "log_message"):
main_win.log_message(msg, lvl)
self._batch_thread.log_message.connect(_batch_log, Qt.QueuedConnection)
self._batch_thread.finished_ok.connect(self._on_step9_batch_ok, Qt.QueuedConnection)
self._batch_thread.failed.connect(self._on_step9_batch_fail, Qt.QueuedConnection)
self._batch_thread.finished.connect(lambda: self.run_button.setEnabled(True), Qt.QueuedConnection)
self._batch_thread.start()
if hasattr(parent, "log_message"):
parent.log_message(f"专题图批量：共 {len(csv_list)} 个 CSV，工作目录 {work_dir}", "info")
return
prediction_csv_path = (self.prediction_csv_file.get_path() or "").strip()
if not prediction_csv_path:
QMessageBox.warning(
self,
"输入验证失败",
"请选择「预测结果 CSV」文件，或切换到「文件夹批量」。",
)
return
if not os.path.isfile(prediction_csv_path):
QMessageBox.warning(self, "输入验证失败", "预测结果 CSV 不存在或不是文件")
return
config = self.get_config()
parent.run_single_step('step9', {'step9': config})
def _on_step9_batch_ok(self, n: int):
QMessageBox.information(self, "完成", f"已批量生成 {n} 个分布图。")
parent = self.parent()
while parent and not hasattr(parent, "log_message"):
parent = parent.parent()
if parent and hasattr(parent, "log_message"):
parent.log_message(f"专题图批量完成，共 {n} 个文件。", "info")
def _on_step9_batch_fail(self, err: str):
QMessageBox.critical(self, "失败", f"批量生成中断：\n{err[:900]}")
parent = self.parent()
while parent and not hasattr(parent, "log_message"):
parent = parent.parent()
if parent and hasattr(parent, "log_message"):
parent.log_message(err, "error")