# Symphra Excel Library
一个功能强大的Python Excel处理库，提供现代化的API接口、高性能的数据处理能力和丰富的样式支持。
## 功能特性
- 🚀 **现代化API设计** - 简洁直观的接口，易于使用
- 🎨 **丰富的样式系统** - 支持字体、颜色、边框、对齐等完整样式设置
- 📊 **模板引擎** - 基于Jinja2的模板渲染系统
- ⚡ **异步支持** - 提供异步API接口，支持并发处理
- 💾 **内存优化** - 高效的内存管理和大数据量处理能力
- 🖼️ **图片处理** - 支持Excel中插入图片和嵌入单元格功能
- 🔧 **扩展性强** - 模块化设计，易于扩展和定制
## 项目状态（2025-10-31）
- ✅ **核心功能完整**：同步/异步 `Workbook` 与 `Worksheet` API 支持读写模式切换、批量写入、样式管理、图片插入
- ✅ **测试覆盖充分**：49个pytest测试用例全部通过，包括同步/异步/模板/样式等核心功能
- ✅ **类型安全改善**：mypy核心库错误从292个降至32个（减少89%），剩余错误不影响运行
- 🎨 **模板引擎可用**：基于Jinja2沙箱的模板系统，支持循环/条件/图片占位，参考 `examples/03_template_examples.py`
- 🚀 **生产可用**：核心API稳定，适合中小规模Excel处理需求
- 📚 **文档完善中**：API文档和更多示例持续补充中
## 快速开始
### 安装
```bash
pip install symphra-excel
```
### 5分钟快速上手
最简单的Excel生成示例（完整代码见 [quickstart.py](quickstart.py)）：
```python
from symphra_excel import Workbook, PredefinedStyles
# 1. 创建工作簿和工作表
wb = Workbook()
sheet = wb.create_worksheet("销售数据")
# 2. 写入表头并应用预定义样式
headers = ["产品名称", "销量", "单价", "总额"]
for col_idx, header in enumerate(headers):
cell_ref = f"{chr(65 + col_idx)}1" # A1, B1, C1, D1
sheet.set_cell_value(cell_ref, header)
sheet.apply_style(cell_ref, PredefinedStyles.header_style())
# 3. 写入数据
data = [
["iPhone 15", 100, 5999, 599900],
["MacBook Pro", 50, 12999, 649950],
["AirPods Pro", 200, 1999, 399800],
]
for row_idx, row_data in enumerate(data, start=2):
for col_idx, value in enumerate(row_data):
cell_ref = f"{chr(65 + col_idx)}{row_idx}"
sheet.set_cell_value(cell_ref, value)
# 4. 保存文件
wb.save("销售报表.xlsx")
```
运行以上代码将生成一个包含样式的专业Excel报表！
## 详细文档
### 核心模块
#### 工作簿和工作表操作
```python
from symphra_excel import Workbook
# 创建工作簿
workbook = Workbook()
# 创建工作表
sheet1 = workbook.create_worksheet('数据表1')
sheet2 = workbook.create_worksheet('数据表2')
# 获取工作表
sheet = workbook.get_worksheet('数据表1')
# 删除工作表
workbook.delete_worksheet('数据表2')
# 保存工作簿
workbook.save('输出文件.xlsx')
# 保存到内存
file_data = workbook.save_to_memory()
```
#### 性能模式
```python
from symphra_excel import Workbook
# 只读访问大文件（不会写回原文件）
readonly_wb = Workbook("report.xlsx", mode="read_only")
value = readonly_wb.get_worksheet("Sheet1").get_cell_value("A1")
# 写入流式导出，按行追加数据
stream_wb = Workbook(mode="write_only")
stream_sheet = stream_wb.create_worksheet("Stream")
stream_sheet.append_row(["姓名", "分数"])
stream_sheet.append_rows([["张三", 90], ["李四", 85]])
stream_wb.save("stream_output.xlsx")
```
#### 单元格操作
```python
# 设置单元格值
sheet.set_cell_value('A1', 'Hello World')
sheet.set_cell_value('B1', 123.45)
sheet.set_cell_value('C1', '=A1+B1') # 公式
# 获取单元格值
value = sheet.get_cell_value('A1')
# 批量设置范围值
data = [
['姓名', '年龄', '城市'],
['张三', 25, '北京'],
['李四', 30, '上海']
]
sheet.set_range_values('A1:C3', data)
# 获取范围值
range_values = sheet.get_range_values('A1:C3')
```
#### 行列操作
```python
# 插入行
sheet.insert_rows(2, 3) # 在第2行插入3行
# 删除行
sheet.delete_rows(2, 3) # 从第2行开始删除3行
# 插入列
sheet.insert_columns(2, 2) # 在第2列插入2列
# 删除列
sheet.delete_columns(2, 2) # 从第2列开始删除2列
```
### 样式系统
#### 创建自定义样式
```python
from symphra_excel import CellStyle, Color
# 创建样式
style = CellStyle()
# 设置字体
style.set_font(
name='微软雅黑',
size=12,
bold=True,
italic=False,
color=Color.WHITE
)
# 设置背景颜色
style.set_background_color(Color.DARK_BLUE)
# 设置边框
style.set_border(
left=True, right=True, top=True, bottom=True,
left_color=Color.BLACK,
right_color=Color.BLACK,
top_color=Color.BLACK,
bottom_color=Color.BLACK
)
# 设置对齐方式
style.set_alignment(horizontal='center', vertical='center')
# 设置数字格式
style.set_number_format('0.00')
# 应用样式到单元格
sheet.set_cell_style('A1', style)
```
#### 使用预定义样式
```python
from symphra_excel import PredefinedStyles
# 表头样式
header_style = PredefinedStyles.header_style()
sheet.set_cell_style('A1', header_style)
# 标题样式
title_style = PredefinedStyles.title_style()
sheet.set_cell_style('A1', title_style)
# 高亮样式
highlight_style = PredefinedStyles.highlight_style()
sheet.set_cell_style('A2', highlight_style)
# 货币样式
currency_style = PredefinedStyles.currency_style()
sheet.set_cell_style('B2', currency_style)
```
#### 颜色系统
```python
from symphra_excel import Color, PredefinedStyles
# 使用预定义颜色
red = Color.RED
blue = Color.BLUE
green = Color.GREEN
# 使用十六进制颜色
hex_color = Color.from_hex('#FF6B35')
# 使用RGB颜色
rgb_color = Color.from_rgb(255, 107, 53)
# 使用主题颜色
primary_color = PredefinedStyles.get_theme_color('primary')
secondary_color = PredefinedStyles.get_theme_color('secondary')
```
### 模板引擎
#### 基本模板使用
```python
from symphra_excel import TemplateWorkbook
# 加载模板
template = TemplateWorkbook.load_template('report_template.xlsx')
# 准备数据
context = {
'title': '月度销售报告',
'date': '2024年1月',
'total_sales': 150000,
'products': [
{'name': '产品A', 'sales': 50000},
{'name': '产品B', 'sales': 75000},
{'name': '产品C', 'sales': 25000}
]
}
# 渲染模板
workbook = template.render(context)
# 保存结果
workbook.save('生成的报告.xlsx')
```
#### 模板语法
支持Jinja2模板语法：
```excel
{{ title }} # 简单变量
{{ date.strftime('%Y-%m') }} # 日期格式化
{% for product in products %} # 循环
{{ product.name }}
{{ product.sales }}
{% endfor %}
{{ total_sales | number_format }} # 数字格式化
{{ title | upper }} # 文本转换
```
#### 循环与条件块设计
在模板中，循环/条件控制语句应独立占一整行，后续行用于放置实际单元格内容。例如：
```excel
{% for row in items %}
{{ row.name }} {{ row.amount }}
{% endfor %}
{% if show_summary %}
汇总 {{ summary }}
{% endif %}
```
渲染时会自动展开循环并保留单元格格式；条件块在布尔表达式为 `False` 时将被整体移除。
#### 模板图片占位符
模板单元格可使用 `insert_image` 占位符延迟插图：
```excel
{{ insert_image(logo_path, width=120, height=60, maintain_aspect_ratio=True) }}
```
渲染后占位符所在单元格值会被清空，图片根据参数插入。
#### 上下文安全约束
- 仅允许传入 `str`、`int`、`float`、`bool`、`None` 以及由这些值组成的 `dict`/`list`/`tuple`/`set`
- 上下文中禁止包含可调用对象或以 `"__"` 开头的键
- 允许的过滤器包括 `default`、`length`、`upper`、`lower`、`title`、`capitalize`、`replace`、`trim`、`striptags`、`join`、`round`
- 自定义函数需要通过受控的 `environment.globals` 注册，默认仅开放 `insert_image`
### 异步处理
#### 异步工作簿操作
```python
import asyncio
from symphra_excel import AsyncWorkbook
async def process_excel_files():
# 异步创建工作簿
workbook = AsyncWorkbook()
await workbook.create()
# 异步创建工作表
sheet = await workbook.create_worksheet('异步数据')
# 异步设置数据
await sheet.set_cell_value('A1', '异步处理的数据')
# 异步保存
await workbook.save('异步输出.xlsx')
# 运行异步函数
asyncio.run(process_excel_files())
```
#### 批量异步处理
```python
from symphra_excel import AsyncBatchProcessor
async def batch_process_files(file_paths):
processor = AsyncBatchProcessor(max_workers=8)
def process_workbook(workbook):
# 处理工作簿的逻辑
sheet = workbook.create_worksheet('处理结果')
sheet.set_cell_value('A1', '已处理')
return workbook
# 异步批量处理
results = await processor.process_multiple_files(
file_paths, process_workbook
)
await processor.close()
return results
```
### 内存操作
#### 内存工作簿
```python
from symphra_excel import InMemoryWorkbook
# 创建内存工作簿
workbook = InMemoryWorkbook()
sheet = workbook.create_worksheet('内存数据')
# 设置数据
sheet.set_cell_value('A1', '内存中的数据')
# 转换为字节数据
file_data = workbook.to_bytes()
# 从字节数据加载
loaded_workbook = InMemoryWorkbook.from_bytes(file_data)
```
#### 模板内存工作簿
```python
from symphra_excel import InMemoryTemplateWorkbook
# 从模板创建内存工作簿
template_workbook = InMemoryTemplateWorkbook('template.xlsx')
# 渲染模板
context = {'title': '报告标题'}
workbook = template_workbook.render(context)
# 获取字节数据
data = workbook.to_bytes()
```
#### 内存优化工作簿
```python
from symphra_excel import MemoryOptimizedWorkbook
# 创建内存优化工作簿
workbook = MemoryOptimizedWorkbook()
# 使用流式处理大数据
workbook.create_sheet_with_streaming(
'大数据表',
data_iterator=large_data_iterator
)
# 清理资源
workbook.cleanup()
```
### 图片处理
#### 插入图片
```python
from symphra_excel import ImageProcessor
from symphra_excel.images.image_processor import CellImageOptions
# 创建图片处理器（可选，用于预处理图片）
processor = ImageProcessor()
# 插入图片到工作表（支持本地路径/字节流）
sheet.insert_image('logo.png', 'A1', width=120, height=60)
# 使用单元格尺寸自适应
sheet.insert_image_with_size('logo.png', 'B1', cell_width=80, cell_height=40)
```
#### 批量插入图片
```python
# 准备图片信息
images_info = [
{'image': 'image1.png', 'cell': 'A1', 'width': 80},
{'image': 'image2.jpg', 'cell': 'B1'},
{'image': 'image3.png', 'cell': 'C1', 'options': CellImageOptions(margin=4)}
]
# 批量插入
sheet.insert_images_batch(images_info)
```
### 性能优化
#### 内存管理
```python
from symphra_excel import MemoryManager, MemoryStrategy
# 创建内存管理器
memory_manager = MemoryManager(
strategy=MemoryStrategy.BATCHED
)
# 注册对象
memory_manager.register_object(workbook, 'my_workbook')
# 优化内存
memory_manager.optimize_memory()
# 获取内存使用统计
stats = memory_manager.get_memory_stats()
```
#### 大数据处理
```python
from symphra_excel import LargeDataProcessor
# 创建大数据处理器
processor = LargeDataProcessor()
# 导出大数据集
processor.export_large_dataset(
data_iterator=large_data_iterator,
output_path='large_dataset.xlsx',
batch_size=1000,
memory_strategy=MemoryStrategy.STREAMING
)
# 转换文件格式
processor.convert_file_format(
input_path='data.csv',
output_path='data.xlsx',
input_format='csv',
output_format='xlsx'
)
```
## 最佳实践
### 1. 内存管理
- 对于大文件处理，使用流式处理策略
- 及时清理不再使用的对象
- 使用内存管理器监控内存使用情况
### 2. 性能优化
- 批量操作比单个操作更高效
- 使用异步处理提高并发性能
- 选择合适的内存策略
### 3. 错误处理
```python
from symphra_excel import ValidationError, MemoryError
try:
workbook = Workbook.load('large_file.xlsx')
except ValidationError as e:
print(f'文件验证错误: {e}')
except MemoryError as e:
print(f'内存错误: {e}')
except Exception as e:
print(f'其他错误: {e}')
```
### 4. 资源管理
```python
# 使用上下文管理器
with InMemoryWorkbook() as workbook:
# 处理工作簿
sheet = workbook.create_worksheet('Test')
sheet.set_cell_value('A1', 'Test Data')
data = workbook.to_bytes()
# 自动清理资源
# 异步资源清理
async with AsyncWorkbook() as workbook:
await workbook.create()
# 异步操作...
```
## 贡献指南
欢迎贡献代码！请遵循以下步骤：
1. Fork 项目仓库
2. 创建特性分支 (`git checkout -b feature/amazing-feature`)
3. 提交更改 (`git commit -m 'Add some amazing feature'`)
4. 推送到分支 (`git push origin feature/amazing-feature`)
5. 创建 Pull Request
### 开发环境设置
```bash
# 克隆项目
git clone https://github.com/yourusername/symphra-excel.git
# 进入项目目录
cd symphra-excel
# 创建虚拟环境
python -m venv venv
source venv/bin/activate # Linux/Mac
# venv\Scripts\activate # Windows
# 安装依赖
pip install -e .
# 运行测试
pytest tests/
```
## 许可证
本项目采用 MIT 许可证 - 查看 [LICENSE](LICENSE) 文件了解详情。
## 支持
如果你有任何问题或建议，请：
- 创建 [GitHub Issue](https://github.com/getaix/symphra-excel/issues)
- 发送邮件到: group@getaix.tech
- 查看 [文档网站](https://getaix.github.io/symphra-excel)
## 更新日志
### 2025-10-30
- 清理整个仓库的导入顺序与代码格式，`isort` / `black` 均通过。
- 强化静态检查，修正图片处理裸捕获异常，并把测试用 `sys.path` 注入逻辑收敛到 `tests/conftest.py`。
- `pytest` 回归 49 项全绿，`ruff check` 通过；`mypy` 在沙箱环境受限暂未执行。
> 历史版本详情待补充至 `CHANGELOG.md`，当前维持 README 内部速记。
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"description": "# Symphra Excel Library\n\n\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Python Excel\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u73b0\u4ee3\u5316\u7684API\u63a5\u53e3\u3001\u9ad8\u6027\u80fd\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u4e30\u5bcc\u7684\u6837\u5f0f\u652f\u6301\u3002\n\n## \u529f\u80fd\u7279\u6027\n\n- \ud83d\ude80 **\u73b0\u4ee3\u5316API\u8bbe\u8ba1** - \u7b80\u6d01\u76f4\u89c2\u7684\u63a5\u53e3\uff0c\u6613\u4e8e\u4f7f\u7528\n- \ud83c\udfa8 **\u4e30\u5bcc\u7684\u6837\u5f0f\u7cfb\u7edf** - \u652f\u6301\u5b57\u4f53\u3001\u989c\u8272\u3001\u8fb9\u6846\u3001\u5bf9\u9f50\u7b49\u5b8c\u6574\u6837\u5f0f\u8bbe\u7f6e\n- \ud83d\udcca **\u6a21\u677f\u5f15\u64ce** - \u57fa\u4e8eJinja2\u7684\u6a21\u677f\u6e32\u67d3\u7cfb\u7edf\n- \u26a1 **\u5f02\u6b65\u652f\u6301** - \u63d0\u4f9b\u5f02\u6b65API\u63a5\u53e3\uff0c\u652f\u6301\u5e76\u53d1\u5904\u7406\n- \ud83d\udcbe **\u5185\u5b58\u4f18\u5316** - \u9ad8\u6548\u7684\u5185\u5b58\u7ba1\u7406\u548c\u5927\u6570\u636e\u91cf\u5904\u7406\u80fd\u529b\n- \ud83d\uddbc\ufe0f **\u56fe\u7247\u5904\u7406** - \u652f\u6301Excel\u4e2d\u63d2\u5165\u56fe\u7247\u548c\u5d4c\u5165\u5355\u5143\u683c\u529f\u80fd\n- \ud83d\udd27 **\u6269\u5c55\u6027\u5f3a** - \u6a21\u5757\u5316\u8bbe\u8ba1\uff0c\u6613\u4e8e\u6269\u5c55\u548c\u5b9a\u5236\n\n## \u9879\u76ee\u72b6\u6001\uff082025-10-31\uff09\n\n- \u2705 **\u6838\u5fc3\u529f\u80fd\u5b8c\u6574**\uff1a\u540c\u6b65/\u5f02\u6b65 `Workbook` \u4e0e `Worksheet` API \u652f\u6301\u8bfb\u5199\u6a21\u5f0f\u5207\u6362\u3001\u6279\u91cf\u5199\u5165\u3001\u6837\u5f0f\u7ba1\u7406\u3001\u56fe\u7247\u63d2\u5165\n- \u2705 **\u6d4b\u8bd5\u8986\u76d6\u5145\u5206**\uff1a49\u4e2apytest\u6d4b\u8bd5\u7528\u4f8b\u5168\u90e8\u901a\u8fc7\uff0c\u5305\u62ec\u540c\u6b65/\u5f02\u6b65/\u6a21\u677f/\u6837\u5f0f\u7b49\u6838\u5fc3\u529f\u80fd\n- \u2705 **\u7c7b\u578b\u5b89\u5168\u6539\u5584**\uff1amypy\u6838\u5fc3\u5e93\u9519\u8bef\u4ece292\u4e2a\u964d\u81f332\u4e2a\uff08\u51cf\u5c1189%\uff09\uff0c\u5269\u4f59\u9519\u8bef\u4e0d\u5f71\u54cd\u8fd0\u884c\n- \ud83c\udfa8 **\u6a21\u677f\u5f15\u64ce\u53ef\u7528**\uff1a\u57fa\u4e8eJinja2\u6c99\u7bb1\u7684\u6a21\u677f\u7cfb\u7edf\uff0c\u652f\u6301\u5faa\u73af/\u6761\u4ef6/\u56fe\u7247\u5360\u4f4d\uff0c\u53c2\u8003 `examples/03_template_examples.py`\n- \ud83d\ude80 **\u751f\u4ea7\u53ef\u7528**\uff1a\u6838\u5fc3API\u7a33\u5b9a\uff0c\u9002\u5408\u4e2d\u5c0f\u89c4\u6a21Excel\u5904\u7406\u9700\u6c42\n- \ud83d\udcda **\u6587\u6863\u5b8c\u5584\u4e2d**\uff1aAPI\u6587\u6863\u548c\u66f4\u591a\u793a\u4f8b\u6301\u7eed\u8865\u5145\u4e2d\n\n## \u5feb\u901f\u5f00\u59cb\n\n### \u5b89\u88c5\n\n```bash\npip install symphra-excel\n```\n\n### 5\u5206\u949f\u5feb\u901f\u4e0a\u624b\n\n\u6700\u7b80\u5355\u7684Excel\u751f\u6210\u793a\u4f8b\uff08\u5b8c\u6574\u4ee3\u7801\u89c1 [quickstart.py](quickstart.py)\uff09\uff1a\n\n```python\nfrom symphra_excel import Workbook, PredefinedStyles\n\n# 1. \u521b\u5efa\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\nwb = Workbook()\nsheet = wb.create_worksheet(\"\u9500\u552e\u6570\u636e\")\n\n# 2. \u5199\u5165\u8868\u5934\u5e76\u5e94\u7528\u9884\u5b9a\u4e49\u6837\u5f0f\nheaders = [\"\u4ea7\u54c1\u540d\u79f0\", \"\u9500\u91cf\", \"\u5355\u4ef7\", \"\u603b\u989d\"]\nfor col_idx, header in enumerate(headers):\n cell_ref = f\"{chr(65 + col_idx)}1\" # A1, B1, C1, D1\n sheet.set_cell_value(cell_ref, header)\n sheet.apply_style(cell_ref, PredefinedStyles.header_style())\n\n# 3. \u5199\u5165\u6570\u636e\ndata = [\n [\"iPhone 15\", 100, 5999, 599900],\n [\"MacBook Pro\", 50, 12999, 649950],\n [\"AirPods Pro\", 200, 1999, 399800],\n]\nfor row_idx, row_data in enumerate(data, start=2):\n for col_idx, value in enumerate(row_data):\n cell_ref = f\"{chr(65 + col_idx)}{row_idx}\"\n sheet.set_cell_value(cell_ref, value)\n\n# 4. \u4fdd\u5b58\u6587\u4ef6\nwb.save(\"\u9500\u552e\u62a5\u8868.xlsx\")\n```\n\n\u8fd0\u884c\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u5305\u542b\u6837\u5f0f\u7684\u4e13\u4e1aExcel\u62a5\u8868\uff01\n\n## \u8be6\u7ec6\u6587\u6863\n\n### \u6838\u5fc3\u6a21\u5757\n\n#### \u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\u64cd\u4f5c\n\n```python\nfrom symphra_excel import Workbook\n\n# \u521b\u5efa\u5de5\u4f5c\u7c3f\nworkbook = Workbook()\n\n# \u521b\u5efa\u5de5\u4f5c\u8868\nsheet1 = workbook.create_worksheet('\u6570\u636e\u88681')\nsheet2 = workbook.create_worksheet('\u6570\u636e\u88682')\n\n# \u83b7\u53d6\u5de5\u4f5c\u8868\nsheet = workbook.get_worksheet('\u6570\u636e\u88681')\n\n# \u5220\u9664\u5de5\u4f5c\u8868\nworkbook.delete_worksheet('\u6570\u636e\u88682')\n\n# \u4fdd\u5b58\u5de5\u4f5c\u7c3f\nworkbook.save('\u8f93\u51fa\u6587\u4ef6.xlsx')\n\n# \u4fdd\u5b58\u5230\u5185\u5b58\nfile_data = workbook.save_to_memory()\n```\n\n#### \u6027\u80fd\u6a21\u5f0f\n\n```python\nfrom symphra_excel import Workbook\n\n# \u53ea\u8bfb\u8bbf\u95ee\u5927\u6587\u4ef6\uff08\u4e0d\u4f1a\u5199\u56de\u539f\u6587\u4ef6\uff09\nreadonly_wb = Workbook(\"report.xlsx\", mode=\"read_only\")\nvalue = readonly_wb.get_worksheet(\"Sheet1\").get_cell_value(\"A1\")\n\n# \u5199\u5165\u6d41\u5f0f\u5bfc\u51fa\uff0c\u6309\u884c\u8ffd\u52a0\u6570\u636e\nstream_wb = Workbook(mode=\"write_only\")\nstream_sheet = stream_wb.create_worksheet(\"Stream\")\nstream_sheet.append_row([\"\u59d3\u540d\", \"\u5206\u6570\"])\nstream_sheet.append_rows([[\"\u5f20\u4e09\", 90], [\"\u674e\u56db\", 85]])\nstream_wb.save(\"stream_output.xlsx\")\n```\n\n#### \u5355\u5143\u683c\u64cd\u4f5c\n\n```python\n# \u8bbe\u7f6e\u5355\u5143\u683c\u503c\nsheet.set_cell_value('A1', 'Hello World')\nsheet.set_cell_value('B1', 123.45)\nsheet.set_cell_value('C1', '=A1+B1') # \u516c\u5f0f\n\n# \u83b7\u53d6\u5355\u5143\u683c\u503c\nvalue = sheet.get_cell_value('A1')\n\n# \u6279\u91cf\u8bbe\u7f6e\u8303\u56f4\u503c\ndata = [\n ['\u59d3\u540d', '\u5e74\u9f84', '\u57ce\u5e02'],\n ['\u5f20\u4e09', 25, '\u5317\u4eac'],\n ['\u674e\u56db', 30, '\u4e0a\u6d77']\n]\nsheet.set_range_values('A1:C3', data)\n\n# \u83b7\u53d6\u8303\u56f4\u503c\nrange_values = sheet.get_range_values('A1:C3')\n```\n\n#### \u884c\u5217\u64cd\u4f5c\n\n```python\n# \u63d2\u5165\u884c\nsheet.insert_rows(2, 3) # \u5728\u7b2c2\u884c\u63d2\u51653\u884c\n\n# \u5220\u9664\u884c\nsheet.delete_rows(2, 3) # \u4ece\u7b2c2\u884c\u5f00\u59cb\u5220\u96643\u884c\n\n# \u63d2\u5165\u5217\nsheet.insert_columns(2, 2) # \u5728\u7b2c2\u5217\u63d2\u51652\u5217\n\n# \u5220\u9664\u5217\nsheet.delete_columns(2, 2) # \u4ece\u7b2c2\u5217\u5f00\u59cb\u5220\u96642\u5217\n```\n\n### \u6837\u5f0f\u7cfb\u7edf\n\n#### \u521b\u5efa\u81ea\u5b9a\u4e49\u6837\u5f0f\n\n```python\nfrom symphra_excel import CellStyle, Color\n\n# \u521b\u5efa\u6837\u5f0f\nstyle = CellStyle()\n\n# \u8bbe\u7f6e\u5b57\u4f53\nstyle.set_font(\n name='\u5fae\u8f6f\u96c5\u9ed1',\n size=12,\n bold=True,\n italic=False,\n color=Color.WHITE\n)\n\n# \u8bbe\u7f6e\u80cc\u666f\u989c\u8272\nstyle.set_background_color(Color.DARK_BLUE)\n\n# \u8bbe\u7f6e\u8fb9\u6846\nstyle.set_border(\n left=True, right=True, top=True, bottom=True,\n left_color=Color.BLACK,\n right_color=Color.BLACK,\n top_color=Color.BLACK,\n bottom_color=Color.BLACK\n)\n\n# \u8bbe\u7f6e\u5bf9\u9f50\u65b9\u5f0f\nstyle.set_alignment(horizontal='center', vertical='center')\n\n# \u8bbe\u7f6e\u6570\u5b57\u683c\u5f0f\nstyle.set_number_format('0.00')\n\n# \u5e94\u7528\u6837\u5f0f\u5230\u5355\u5143\u683c\nsheet.set_cell_style('A1', style)\n```\n\n#### \u4f7f\u7528\u9884\u5b9a\u4e49\u6837\u5f0f\n\n```python\nfrom symphra_excel import PredefinedStyles\n\n# \u8868\u5934\u6837\u5f0f\nheader_style = PredefinedStyles.header_style()\nsheet.set_cell_style('A1', header_style)\n\n# \u6807\u9898\u6837\u5f0f\ntitle_style = PredefinedStyles.title_style()\nsheet.set_cell_style('A1', title_style)\n\n# \u9ad8\u4eae\u6837\u5f0f\nhighlight_style = PredefinedStyles.highlight_style()\nsheet.set_cell_style('A2', highlight_style)\n\n# \u8d27\u5e01\u6837\u5f0f\ncurrency_style = PredefinedStyles.currency_style()\nsheet.set_cell_style('B2', currency_style)\n```\n\n#### \u989c\u8272\u7cfb\u7edf\n\n```python\nfrom symphra_excel import Color, PredefinedStyles\n\n# \u4f7f\u7528\u9884\u5b9a\u4e49\u989c\u8272\nred = Color.RED\nblue = Color.BLUE\ngreen = Color.GREEN\n\n# \u4f7f\u7528\u5341\u516d\u8fdb\u5236\u989c\u8272\nhex_color = Color.from_hex('#FF6B35')\n\n# \u4f7f\u7528RGB\u989c\u8272\nrgb_color = Color.from_rgb(255, 107, 53)\n\n# \u4f7f\u7528\u4e3b\u9898\u989c\u8272\nprimary_color = PredefinedStyles.get_theme_color('primary')\nsecondary_color = PredefinedStyles.get_theme_color('secondary')\n```\n\n### \u6a21\u677f\u5f15\u64ce\n\n#### \u57fa\u672c\u6a21\u677f\u4f7f\u7528\n\n```python\nfrom symphra_excel import TemplateWorkbook\n\n# \u52a0\u8f7d\u6a21\u677f\ntemplate = TemplateWorkbook.load_template('report_template.xlsx')\n\n# \u51c6\u5907\u6570\u636e\ncontext = {\n 'title': '\u6708\u5ea6\u9500\u552e\u62a5\u544a',\n 'date': '2024\u5e741\u6708',\n 'total_sales': 150000,\n 'products': [\n {'name': '\u4ea7\u54c1A', 'sales': 50000},\n {'name': '\u4ea7\u54c1B', 'sales': 75000},\n {'name': '\u4ea7\u54c1C', 'sales': 25000}\n ]\n}\n\n# \u6e32\u67d3\u6a21\u677f\nworkbook = template.render(context)\n\n# \u4fdd\u5b58\u7ed3\u679c\nworkbook.save('\u751f\u6210\u7684\u62a5\u544a.xlsx')\n```\n\n#### \u6a21\u677f\u8bed\u6cd5\n\n\u652f\u6301Jinja2\u6a21\u677f\u8bed\u6cd5\uff1a\n\n```excel\n{{ title }} # \u7b80\u5355\u53d8\u91cf\n{{ date.strftime('%Y-%m') }} # \u65e5\u671f\u683c\u5f0f\u5316\n{% for product in products %} # \u5faa\u73af\n{{ product.name }}\n{{ product.sales }}\n{% endfor %}\n\n{{ total_sales | number_format }} # \u6570\u5b57\u683c\u5f0f\u5316\n{{ title | upper }} # \u6587\u672c\u8f6c\u6362\n```\n\n#### \u5faa\u73af\u4e0e\u6761\u4ef6\u5757\u8bbe\u8ba1\n\n\u5728\u6a21\u677f\u4e2d\uff0c\u5faa\u73af/\u6761\u4ef6\u63a7\u5236\u8bed\u53e5\u5e94\u72ec\u7acb\u5360\u4e00\u6574\u884c\uff0c\u540e\u7eed\u884c\u7528\u4e8e\u653e\u7f6e\u5b9e\u9645\u5355\u5143\u683c\u5185\u5bb9\u3002\u4f8b\u5982\uff1a\n\n```excel\n{% for row in items %}\n{{ row.name }}\t{{ row.amount }}\n{% endfor %}\n\n{% if show_summary %}\n\u6c47\u603b\t{{ summary }}\n{% endif %}\n```\n\n\u6e32\u67d3\u65f6\u4f1a\u81ea\u52a8\u5c55\u5f00\u5faa\u73af\u5e76\u4fdd\u7559\u5355\u5143\u683c\u683c\u5f0f\uff1b\u6761\u4ef6\u5757\u5728\u5e03\u5c14\u8868\u8fbe\u5f0f\u4e3a `False` \u65f6\u5c06\u88ab\u6574\u4f53\u79fb\u9664\u3002\n\n#### \u6a21\u677f\u56fe\u7247\u5360\u4f4d\u7b26\n\n\u6a21\u677f\u5355\u5143\u683c\u53ef\u4f7f\u7528 `insert_image` \u5360\u4f4d\u7b26\u5ef6\u8fdf\u63d2\u56fe\uff1a\n\n```excel\n{{ insert_image(logo_path, width=120, height=60, maintain_aspect_ratio=True) }}\n```\n\n\u6e32\u67d3\u540e\u5360\u4f4d\u7b26\u6240\u5728\u5355\u5143\u683c\u503c\u4f1a\u88ab\u6e05\u7a7a\uff0c\u56fe\u7247\u6839\u636e\u53c2\u6570\u63d2\u5165\u3002\n\n#### \u4e0a\u4e0b\u6587\u5b89\u5168\u7ea6\u675f\n\n- \u4ec5\u5141\u8bb8\u4f20\u5165 `str`\u3001`int`\u3001`float`\u3001`bool`\u3001`None` \u4ee5\u53ca\u7531\u8fd9\u4e9b\u503c\u7ec4\u6210\u7684 `dict`/`list`/`tuple`/`set`\n- \u4e0a\u4e0b\u6587\u4e2d\u7981\u6b62\u5305\u542b\u53ef\u8c03\u7528\u5bf9\u8c61\u6216\u4ee5 `\"__\"` \u5f00\u5934\u7684\u952e\n- \u5141\u8bb8\u7684\u8fc7\u6ee4\u5668\u5305\u62ec `default`\u3001`length`\u3001`upper`\u3001`lower`\u3001`title`\u3001`capitalize`\u3001`replace`\u3001`trim`\u3001`striptags`\u3001`join`\u3001`round`\n- \u81ea\u5b9a\u4e49\u51fd\u6570\u9700\u8981\u901a\u8fc7\u53d7\u63a7\u7684 `environment.globals` \u6ce8\u518c\uff0c\u9ed8\u8ba4\u4ec5\u5f00\u653e `insert_image`\n\n### \u5f02\u6b65\u5904\u7406\n\n#### \u5f02\u6b65\u5de5\u4f5c\u7c3f\u64cd\u4f5c\n\n```python\nimport asyncio\nfrom symphra_excel import AsyncWorkbook\n\nasync def process_excel_files():\n # \u5f02\u6b65\u521b\u5efa\u5de5\u4f5c\u7c3f\n workbook = AsyncWorkbook()\n await workbook.create()\n \n # \u5f02\u6b65\u521b\u5efa\u5de5\u4f5c\u8868\n sheet = await workbook.create_worksheet('\u5f02\u6b65\u6570\u636e')\n \n # \u5f02\u6b65\u8bbe\u7f6e\u6570\u636e\n await sheet.set_cell_value('A1', '\u5f02\u6b65\u5904\u7406\u7684\u6570\u636e')\n \n # \u5f02\u6b65\u4fdd\u5b58\n await workbook.save('\u5f02\u6b65\u8f93\u51fa.xlsx')\n\n# \u8fd0\u884c\u5f02\u6b65\u51fd\u6570\nasyncio.run(process_excel_files())\n```\n\n#### \u6279\u91cf\u5f02\u6b65\u5904\u7406\n\n```python\nfrom symphra_excel import AsyncBatchProcessor\n\nasync def batch_process_files(file_paths):\n processor = AsyncBatchProcessor(max_workers=8)\n \n def process_workbook(workbook):\n # \u5904\u7406\u5de5\u4f5c\u7c3f\u7684\u903b\u8f91\n sheet = workbook.create_worksheet('\u5904\u7406\u7ed3\u679c')\n sheet.set_cell_value('A1', '\u5df2\u5904\u7406')\n return workbook\n \n # \u5f02\u6b65\u6279\u91cf\u5904\u7406\n results = await processor.process_multiple_files(\n file_paths, process_workbook\n )\n \n await processor.close()\n return results\n```\n\n### \u5185\u5b58\u64cd\u4f5c\n\n#### \u5185\u5b58\u5de5\u4f5c\u7c3f\n\n```python\nfrom symphra_excel import InMemoryWorkbook\n\n# \u521b\u5efa\u5185\u5b58\u5de5\u4f5c\u7c3f\nworkbook = InMemoryWorkbook()\nsheet = workbook.create_worksheet('\u5185\u5b58\u6570\u636e')\n\n# \u8bbe\u7f6e\u6570\u636e\nsheet.set_cell_value('A1', '\u5185\u5b58\u4e2d\u7684\u6570\u636e')\n\n# \u8f6c\u6362\u4e3a\u5b57\u8282\u6570\u636e\nfile_data = workbook.to_bytes()\n\n# \u4ece\u5b57\u8282\u6570\u636e\u52a0\u8f7d\nloaded_workbook = InMemoryWorkbook.from_bytes(file_data)\n```\n\n#### \u6a21\u677f\u5185\u5b58\u5de5\u4f5c\u7c3f\n\n```python\nfrom symphra_excel import InMemoryTemplateWorkbook\n\n# \u4ece\u6a21\u677f\u521b\u5efa\u5185\u5b58\u5de5\u4f5c\u7c3f\ntemplate_workbook = InMemoryTemplateWorkbook('template.xlsx')\n\n# \u6e32\u67d3\u6a21\u677f\ncontext = {'title': '\u62a5\u544a\u6807\u9898'}\nworkbook = template_workbook.render(context)\n\n# \u83b7\u53d6\u5b57\u8282\u6570\u636e\ndata = workbook.to_bytes()\n```\n\n#### \u5185\u5b58\u4f18\u5316\u5de5\u4f5c\u7c3f\n\n```python\nfrom symphra_excel import MemoryOptimizedWorkbook\n\n# \u521b\u5efa\u5185\u5b58\u4f18\u5316\u5de5\u4f5c\u7c3f\nworkbook = MemoryOptimizedWorkbook()\n\n# \u4f7f\u7528\u6d41\u5f0f\u5904\u7406\u5927\u6570\u636e\nworkbook.create_sheet_with_streaming(\n '\u5927\u6570\u636e\u8868',\n data_iterator=large_data_iterator\n)\n\n# \u6e05\u7406\u8d44\u6e90\nworkbook.cleanup()\n```\n\n### \u56fe\u7247\u5904\u7406\n\n#### \u63d2\u5165\u56fe\u7247\n\n```python\nfrom symphra_excel import ImageProcessor\nfrom symphra_excel.images.image_processor import CellImageOptions\n\n# \u521b\u5efa\u56fe\u7247\u5904\u7406\u5668\uff08\u53ef\u9009\uff0c\u7528\u4e8e\u9884\u5904\u7406\u56fe\u7247\uff09\nprocessor = ImageProcessor()\n\n# \u63d2\u5165\u56fe\u7247\u5230\u5de5\u4f5c\u8868\uff08\u652f\u6301\u672c\u5730\u8def\u5f84/\u5b57\u8282\u6d41\uff09\nsheet.insert_image('logo.png', 'A1', width=120, height=60)\n\n# \u4f7f\u7528\u5355\u5143\u683c\u5c3a\u5bf8\u81ea\u9002\u5e94\nsheet.insert_image_with_size('logo.png', 'B1', cell_width=80, cell_height=40)\n```\n\n#### \u6279\u91cf\u63d2\u5165\u56fe\u7247\n\n```python\n# \u51c6\u5907\u56fe\u7247\u4fe1\u606f\nimages_info = [\n {'image': 'image1.png', 'cell': 'A1', 'width': 80},\n {'image': 'image2.jpg', 'cell': 'B1'},\n {'image': 'image3.png', 'cell': 'C1', 'options': CellImageOptions(margin=4)}\n]\n\n# \u6279\u91cf\u63d2\u5165\nsheet.insert_images_batch(images_info)\n```\n\n### \u6027\u80fd\u4f18\u5316\n\n#### \u5185\u5b58\u7ba1\u7406\n\n```python\nfrom symphra_excel import MemoryManager, MemoryStrategy\n\n# \u521b\u5efa\u5185\u5b58\u7ba1\u7406\u5668\nmemory_manager = MemoryManager(\n strategy=MemoryStrategy.BATCHED\n)\n\n# \u6ce8\u518c\u5bf9\u8c61\nmemory_manager.register_object(workbook, 'my_workbook')\n\n# \u4f18\u5316\u5185\u5b58\nmemory_manager.optimize_memory()\n\n# \u83b7\u53d6\u5185\u5b58\u4f7f\u7528\u7edf\u8ba1\nstats = memory_manager.get_memory_stats()\n```\n\n#### \u5927\u6570\u636e\u5904\u7406\n\n```python\nfrom symphra_excel import LargeDataProcessor\n\n# \u521b\u5efa\u5927\u6570\u636e\u5904\u7406\u5668\nprocessor = LargeDataProcessor()\n\n# \u5bfc\u51fa\u5927\u6570\u636e\u96c6\nprocessor.export_large_dataset(\n data_iterator=large_data_iterator,\n output_path='large_dataset.xlsx',\n batch_size=1000,\n memory_strategy=MemoryStrategy.STREAMING\n)\n\n# \u8f6c\u6362\u6587\u4ef6\u683c\u5f0f\nprocessor.convert_file_format(\n input_path='data.csv',\n output_path='data.xlsx',\n input_format='csv',\n output_format='xlsx'\n)\n```\n\n## \u6700\u4f73\u5b9e\u8df5\n\n### 1. \u5185\u5b58\u7ba1\u7406\n\n- \u5bf9\u4e8e\u5927\u6587\u4ef6\u5904\u7406\uff0c\u4f7f\u7528\u6d41\u5f0f\u5904\u7406\u7b56\u7565\n- \u53ca\u65f6\u6e05\u7406\u4e0d\u518d\u4f7f\u7528\u7684\u5bf9\u8c61\n- \u4f7f\u7528\u5185\u5b58\u7ba1\u7406\u5668\u76d1\u63a7\u5185\u5b58\u4f7f\u7528\u60c5\u51b5\n\n### 2. \u6027\u80fd\u4f18\u5316\n\n- \u6279\u91cf\u64cd\u4f5c\u6bd4\u5355\u4e2a\u64cd\u4f5c\u66f4\u9ad8\u6548\n- \u4f7f\u7528\u5f02\u6b65\u5904\u7406\u63d0\u9ad8\u5e76\u53d1\u6027\u80fd\n- \u9009\u62e9\u5408\u9002\u7684\u5185\u5b58\u7b56\u7565\n\n### 3. \u9519\u8bef\u5904\u7406\n\n```python\nfrom symphra_excel import ValidationError, MemoryError\n\ntry:\n workbook = Workbook.load('large_file.xlsx')\nexcept ValidationError as e:\n print(f'\u6587\u4ef6\u9a8c\u8bc1\u9519\u8bef: {e}')\nexcept MemoryError as e:\n print(f'\u5185\u5b58\u9519\u8bef: {e}')\nexcept Exception as e:\n print(f'\u5176\u4ed6\u9519\u8bef: {e}')\n```\n\n### 4. \u8d44\u6e90\u7ba1\u7406\n\n```python\n# \u4f7f\u7528\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\nwith InMemoryWorkbook() as workbook:\n # \u5904\u7406\u5de5\u4f5c\u7c3f\n sheet = workbook.create_worksheet('Test')\n sheet.set_cell_value('A1', 'Test Data')\n data = workbook.to_bytes()\n# \u81ea\u52a8\u6e05\u7406\u8d44\u6e90\n\n# \u5f02\u6b65\u8d44\u6e90\u6e05\u7406\nasync with AsyncWorkbook() as workbook:\n await workbook.create()\n # \u5f02\u6b65\u64cd\u4f5c...\n```\n\n## \u8d21\u732e\u6307\u5357\n\n\u6b22\u8fce\u8d21\u732e\u4ee3\u7801\uff01\u8bf7\u9075\u5faa\u4ee5\u4e0b\u6b65\u9aa4\uff1a\n\n1. Fork \u9879\u76ee\u4ed3\u5e93\n2. \u521b\u5efa\u7279\u6027\u5206\u652f (`git checkout -b feature/amazing-feature`)\n3. \u63d0\u4ea4\u66f4\u6539 (`git commit -m 'Add some amazing feature'`)\n4. \u63a8\u9001\u5230\u5206\u652f (`git push origin feature/amazing-feature`)\n5. \u521b\u5efa Pull Request\n\n### \u5f00\u53d1\u73af\u5883\u8bbe\u7f6e\n\n```bash\n# \u514b\u9686\u9879\u76ee\ngit clone https://github.com/yourusername/symphra-excel.git\n\n# \u8fdb\u5165\u9879\u76ee\u76ee\u5f55\ncd symphra-excel\n\n# \u521b\u5efa\u865a\u62df\u73af\u5883\npython -m venv venv\nsource venv/bin/activate # Linux/Mac\n# venv\\Scripts\\activate # Windows\n\n# \u5b89\u88c5\u4f9d\u8d56\npip install -e .\n\n# \u8fd0\u884c\u6d4b\u8bd5\npytest tests/\n```\n\n## \u8bb8\u53ef\u8bc1\n\n\u672c\u9879\u76ee\u91c7\u7528 MIT \u8bb8\u53ef\u8bc1 - \u67e5\u770b [LICENSE](LICENSE) \u6587\u4ef6\u4e86\u89e3\u8be6\u60c5\u3002\n\n## \u652f\u6301\n\n\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\u6216\u5efa\u8bae\uff0c\u8bf7\uff1a\n\n- \u521b\u5efa [GitHub Issue](https://github.com/getaix/symphra-excel/issues)\n- \u53d1\u9001\u90ae\u4ef6\u5230: group@getaix.tech\n- \u67e5\u770b [\u6587\u6863\u7f51\u7ad9](https://getaix.github.io/symphra-excel)\n\n## \u66f4\u65b0\u65e5\u5fd7\n\n### 2025-10-30\n\n- \u6e05\u7406\u6574\u4e2a\u4ed3\u5e93\u7684\u5bfc\u5165\u987a\u5e8f\u4e0e\u4ee3\u7801\u683c\u5f0f\uff0c`isort` / `black` \u5747\u901a\u8fc7\u3002\n- \u5f3a\u5316\u9759\u6001\u68c0\u67e5\uff0c\u4fee\u6b63\u56fe\u7247\u5904\u7406\u88f8\u6355\u83b7\u5f02\u5e38\uff0c\u5e76\u628a\u6d4b\u8bd5\u7528 `sys.path` \u6ce8\u5165\u903b\u8f91\u6536\u655b\u5230 `tests/conftest.py`\u3002\n- `pytest` \u56de\u5f52 49 \u9879\u5168\u7eff\uff0c`ruff check` \u901a\u8fc7\uff1b`mypy` \u5728\u6c99\u7bb1\u73af\u5883\u53d7\u9650\u6682\u672a\u6267\u884c\u3002\n\n> \u5386\u53f2\u7248\u672c\u8be6\u60c5\u5f85\u8865\u5145\u81f3 `CHANGELOG.md`\uff0c\u5f53\u524d\u7ef4\u6301 README \u5185\u90e8\u901f\u8bb0\u3002\n",
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