2026-01-04 11:53:15 +08:00
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import os
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import sys
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import io
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import contextlib
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import matplotlib.pyplot as plt
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from nicegui import ui, events
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from main import compare_design_methods, export_to_dxf, load_data_from_excel, generate_wind_farm_data, visualize_design
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import pandas as pd
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# 设置matplotlib支持中文显示
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plt.rcParams['font.sans-serif'] = ['Microsoft YaHei', 'SimHei', 'Arial']
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plt.rcParams['axes.unicode_minus'] = False
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class Logger(io.StringIO):
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def __init__(self, log_element):
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super().__init__()
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self.log_element = log_element
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def write(self, message):
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if message.strip():
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self.log_element.push(message.strip())
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super().write(message)
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# 状态变量
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state = {
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'excel_path': None,
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'results': [],
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'substation': None,
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'turbines': None,
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'temp_dir': '.gemini/tmp/gui_uploads'
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}
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# 确保临时目录存在
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if not os.path.exists(state['temp_dir']):
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os.makedirs(state['temp_dir'], exist_ok=True)
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@ui.page('/')
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def index():
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ui.query('body').style('background-color: #f0f2f5; font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;')
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# 定义 UI 元素引用容器,方便在函数中更新
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refs = {
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'log_box': None,
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'results_table': None,
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'plot_container': None,
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'export_row': None,
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'status_label': None,
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'upload_widget': None,
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'clusters_input': None,
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'run_btn': None
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}
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async def handle_upload(e: events.UploadEventArguments):
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try:
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filename = None
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content = None
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if hasattr(e, 'name'):
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filename = e.name
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if hasattr(e, 'content'):
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content = e.content
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if content is None and hasattr(e, 'file'):
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file_obj = e.file
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if not filename:
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filename = getattr(file_obj, 'name', getattr(file_obj, 'filename', None))
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if hasattr(file_obj, 'file') and hasattr(file_obj.file, 'read'):
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content = file_obj.file
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elif hasattr(file_obj, 'read'):
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content = file_obj
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if not filename:
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filename = 'uploaded_file.xlsx'
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if content is None:
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ui.notify('上传失败: 无法解析文件内容', type='negative')
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return
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path = os.path.join(state['temp_dir'], filename)
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if hasattr(content, 'seek'):
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try: content.seek(0)
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except Exception: pass
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data = content.read()
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import inspect
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if inspect.iscoroutine(data):
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data = await data
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with open(path, 'wb') as f:
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f.write(data)
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state['excel_path'] = path
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ui.notify(f'文件已上传: {filename}', type='positive')
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state['turbines'], state['substation'], _ = load_data_from_excel(path)
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except Exception as ex:
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ui.notify(f'上传处理失败: {ex}', type='negative')
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def update_export_buttons():
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if refs['export_row']:
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refs['export_row'].clear()
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if not state['results'] or not refs['export_row']:
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return
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with refs['export_row']:
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ui.button('下载 Excel 对比表', on_click=lambda: ui.download('wind_farm_design.xlsx')).props('icon=download')
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best_idx = 0
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for i, res in enumerate(state['results']):
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if res['cost'] < state['results'][best_idx]['cost']:
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best_idx = i
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best_res = state['results'][best_idx]
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def export_best_dxf():
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dxf_name = 'best_design.dxf'
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if state['substation'] is not None:
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export_to_dxf(best_res['turbines'], state['substation'], best_res['eval']['details'], dxf_name)
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ui.download(dxf_name)
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ui.notify(f'已导出推荐方案: {best_res["name"]}', type='positive')
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else:
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ui.notify('缺少升压站数据,无法导出 DXF', type='negative')
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ui.button(f'导出推荐方案 DXF ({best_res["name"]})', on_click=export_best_dxf).props('icon=architecture color=accent')
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def update_plot(result):
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if refs['plot_container']:
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refs['plot_container'].clear()
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with refs['plot_container']:
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2026-01-04 12:05:06 +08:00
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# 使用 ui.pyplot 上下文自动管理 figure 生命周期
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2026-01-04 11:53:15 +08:00
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with ui.pyplot(figsize=(10, 8)) as plot:
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title = f"{result['name']}\nCost: ¥{result['cost']/10000:.2f}万 | Loss: {result['loss']:.2f} kW"
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2026-01-04 12:05:06 +08:00
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# 显式获取当前 ui.pyplot 创建的 axes,并传递给绘图函数
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# 确保绘图发生在正确的 figure 上
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2026-01-04 11:53:15 +08:00
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ax = plt.gca()
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visualize_design(result['turbines'], state['substation'], result['eval']['details'], title, ax=ax)
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def handle_row_click(e):
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2026-01-04 12:05:06 +08:00
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# ui.table row-click args: [evt, row, index]
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row = None
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if e.args and isinstance(e.args, list) and len(e.args) > 1:
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row = e.args[1]
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if not row or 'name' not in row: return
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row_name = row['name']
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2026-01-04 11:53:15 +08:00
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selected_res = next((r for r in state['results'] if r['name'] == row_name), None)
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if selected_res:
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update_plot(selected_res)
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ui.notify(f'已切换至方案: {row_name}')
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from nicegui import run
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import queue
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async def run_analysis(n_clusters):
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if not state['excel_path']:
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ui.notify('请先上传 Excel 坐标文件!', type='warning')
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if refs['log_box']:
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refs['log_box'].clear()
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log_queue = queue.Queue()
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class QueueLogger(io.StringIO):
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def write(self, message):
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if message and message.strip():
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log_queue.put(message.strip())
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super().write(message)
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def process_log_queue():
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if refs['log_box']:
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while not log_queue.empty():
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try:
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msg = log_queue.get_nowait()
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refs['log_box'].push(msg)
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if msg.startswith('--- Scenario'):
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scenario_name = msg.replace('---', '').strip()
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if refs['status_label']:
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refs['status_label'].text = f"正在计算: {scenario_name}..."
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elif '开始比较电缆方案' in msg:
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if refs['status_label']: refs['status_label'].text = "准备开始计算..."
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except queue.Empty: break
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log_timer = ui.timer(0.1, process_log_queue)
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if refs['status_label']: refs['status_label'].text = "初始化中..."
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processing_dialog.open()
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try:
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# 2. 定义在线程中运行的任务
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def task():
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# 捕获 stdout 到我们的 QueueLogger
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2026-01-04 12:05:06 +08:00
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# 禁止 main.py 中的后台绘图,避免线程安全问题
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with contextlib.redirect_stdout(QueueLogger()):
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return compare_design_methods(
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excel_path=state['excel_path'],
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n_clusters_override=n_clusters,
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interactive=False,
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plot_results=False
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)
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# 在后台线程运行计算任务
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results = await run.io_bound(task)
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2026-01-04 11:53:15 +08:00
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state['results'] = results
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if not state['excel_path'] and results:
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if state['substation'] is None:
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_, state['substation'] = generate_wind_farm_data(n_turbines=30, layout='grid', spacing=800)
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# 更新结果表格
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if refs['results_table']:
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table_data = []
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for res in results:
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table_data.append({'name': res['name'], 'cost_wan': round(res['cost'] / 10000, 2), 'loss_kw': round(res['loss'], 2)})
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refs['results_table'].rows = table_data
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refs['results_table'].update()
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2026-01-04 12:05:06 +08:00
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# 计算完成后,自动寻找并显示最佳方案的拓扑图
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2026-01-04 11:53:15 +08:00
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if results:
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best_res = min(results, key=lambda x: x['cost'])
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update_plot(best_res)
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ui.notify(f'计算完成!已自动加载推荐方案: {best_res["name"]}', type='positive')
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update_export_buttons()
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if refs['status_label']: refs['status_label'].text = "计算完成!"
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except Exception as ex:
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ui.notify(f'运行出错: {ex}', type='negative')
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2026-01-04 12:05:06 +08:00
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import traceback
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traceback.print_exc()
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2026-01-04 11:53:15 +08:00
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finally:
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log_timer.cancel()
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process_log_queue()
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processing_dialog.close()
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with ui.dialog() as processing_dialog:
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with ui.card().classes('w-96 items-center justify-center p-6'):
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ui.label('正在计算方案...').classes('text-xl font-bold text-primary mb-2')
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ui.spinner(size='lg', color='primary')
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refs['status_label'] = ui.label('准备中...').classes('mt-4 text-sm text-gray-700 font-medium')
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with ui.expansion('查看实时日志', icon='terminal', value=True).classes('w-full mt-4 text-sm'):
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refs['log_box'] = ui.log(max_lines=100).classes('w-full h-32 text-xs font-mono bg-black text-green-400')
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processing_dialog.props('persistent')
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with ui.header().classes('bg-primary text-white p-4 shadow-lg'):
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ui.label('海上风电场集电线路设计优化系统').classes('text-2xl font-bold')
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ui.label('Wind Farm Collector System Design Optimizer').classes('text-sm opacity-80')
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with ui.row().classes('w-full p-4 gap-4'):
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with ui.card().classes('w-1/4 p-4 shadow-md'):
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ui.label('配置面板').classes('text-xl font-semibold mb-4 border-b pb-2')
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ui.label('1. 上传坐标文件 (.xlsx)').classes('font-medium')
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refs['upload_widget'] = ui.upload(label='选择Excel文件', on_upload=handle_upload, auto_upload=True).classes('w-full mb-4')
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ui.label('2. 参数设置').classes('font-medium mt-4')
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refs['clusters_input'] = ui.number('指定回路数 (可选)', value=None, format='%d', placeholder='自动计算').classes('w-full mb-4')
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refs['run_btn'] = ui.button('运行方案对比', on_click=lambda: run_analysis(refs['clusters_input'].value)).classes('w-full mt-4 py-4').props('icon=play_arrow color=secondary')
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with ui.column().classes('w-3/4 gap-4'):
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with ui.card().classes('w-full p-4 shadow-md'):
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ui.label('方案对比结果 (点击行查看拓扑详情)').classes('text-xl font-semibold mb-2')
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columns = [
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{'name': 'name', 'label': '方案名称', 'field': 'name', 'required': True, 'align': 'left'},
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{'name': 'cost_wan', 'label': '总投资 (万元)', 'field': 'cost_wan', 'sortable': True},
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{'name': 'loss_kw', 'label': '线损 (kW)', 'field': 'loss_kw', 'sortable': True},
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]
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# 移除 selection='single',改为纯行点击交互
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refs['results_table'] = ui.table(columns=columns, rows=[]).classes('w-full')
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refs['results_table'].on('row-click', handle_row_click)
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2026-01-04 11:53:15 +08:00
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with ui.card().classes('w-full p-4 shadow-md'):
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ui.label('拓扑可视化').classes('text-xl font-semibold mb-2')
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refs['plot_container'] = ui.column().classes('w-full items-center')
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with ui.card().classes('w-full p-4 shadow-md'):
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ui.label('导出与下载').classes('text-xl font-semibold mb-2')
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refs['export_row'] = ui.row().classes('gap-4')
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2026-01-04 12:05:06 +08:00
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ui.run(title='海上风电场集电线路优化', port=8080)
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