feat: 重构前端项目结构并优化代码

refactor: 迁移前端资源文件至web目录 feat: 新增多种图标资源 style: 统一代码风格和格式化配置 docs: 更新README和文档说明 chore: 更新依赖和配置文件 fix: 修复部分类型定义和枚举 perf: 优化路由和组件加载逻辑
2026-09-25 21:57:48 +00:00 · 2026-04-29 00:02:09 +08:00
parent 10a35bb4b5
commit eb150bcede
887 changed files with 116514 additions and 33990 deletions
@@ -0,0 +1,118 @@
+# -*- coding: utf-8 -*-
+
+import json
+from typing import Dict, List, Optional
+import pandas as pd
+from openpyxl.styles import Font
+from openpyxl import load_workbook
+import logging
+
+class ExcelPack:
+    # Excel列结构配置
+    COLUMNS = {
+        'name': 0,
+        'run': 1,
+        'token': 2,
+        'url': 3,
+        'data': 4,
+        'method': 5,
+        'type': 6,
+        'header': 7,
+        'code': 8,
+        'isSuccess': 9,
+        'result': 10,
+    }
+
+    # 结果样式配置
+    STYLES = {
+        'pass': (3, '00FF00'),  # 绿色
+        'fail': (4, 'FF0000'),  # 红色
+        'skip': (6, '800080'),  # 紫色
+    }
+
+    def __init__(self, file_name: str, api_host: str, token: str):
+        self.file_name = file_name
+        self._df = None
+        self.api_host = api_host
+        self.token = token
+
+    @property
+    def df(self) -> pd.DataFrame:
+        if self._df is None:
+            self._df = pd.read_excel(self.file_name)
+            logging.info(f"成功读取Excel文件: {self.file_name}")
+        return self._df
+
+    def _get_cell_value(self, row: int, col_name: str) -> str:
+        """统一的单元格获取方法"""
+        value = self.df.iloc[row, self.COLUMNS[col_name]]
+        return str(value).strip() if pd.notna(value) else ''
+
+    def _write_cell(self, row: int, col_name: str, value: str, style: Optional[int] = None):
+        """增量更新单元格内容,保留其他数据格式"""
+
+        # 更新DataFrame中的值
+        col = self.COLUMNS[col_name]
+        self.df.iloc[row, col] = value
+
+        # 直接加载工作簿进行更新
+        workbook = load_workbook(self.file_name)
+        worksheet = workbook.active
+
+        # 写入新值
+        cell = worksheet.cell(row=row + 2, column=col + 1)
+        cell.value = value
+
+        # 应用样式
+        if style and isinstance(style, (int, str)):
+            style_config = self.STYLES.get(str(style))
+            if style_config and len(style_config) >= 2:
+                color = style_config[1]
+                cell.font = Font(bold=True, color=color)
+            else:
+                logging.warning(f"无效的样式配置: {style}")
+
+        # 保存工作簿
+        workbook.save(self.file_name)
+
+    def load_test_cases(self) -> List[Dict]:
+        """加载测试用例"""
+        test_cases = []
+
+        for row in range(1, len(self.df)):
+            headers = eval(self._get_cell_value(row, 'header')) if self._get_cell_value(row, 'header') else {}
+            if self._get_cell_value(row, 'token').lower() == 'yes':
+                headers['token'] = self.token
+            
+            case = {
+                'name': self._get_cell_value(row, 'name'),
+                'run': self._get_cell_value(row, 'run'),
+                'token': self._get_cell_value(row, 'token'),
+                'type': self._get_cell_value(row, 'type'),
+                'request': {
+                    'url': f"{self.api_host}{self._get_cell_value(row, 'url')}",
+                    'method': self._get_cell_value(row, 'method'),
+                    'headers': headers,
+                    'data': json.loads(self._get_cell_value(row, 'data')) if self._get_cell_value(row, 'data') else None,
+                },
+                'expected': {
+                    'code': int(self._get_cell_value(row, 'code')),
+                    'isSuccess': bool(self._get_cell_value(row, 'isSuccess')),
+                },
+                'result': {
+                    'result': self._get_cell_value(row, 'result'),
+                },
+                'row': row,
+            }
+            test_cases.append(case)
+        return test_cases
+
+    def write_to_excel(self, row: int, result: Dict) -> None:
+        """写入结果到Excel"""
+        try:
+            # 更新数据
+            self._write_cell(row, 'result', result['result'], result['result'])
+            logging.info(f"测试结果写入成功: {result['name']}")
+        except Exception as e:
+            logging.error(f"写入测试结果失败: {str(e)}")
+            logging.exception(e)