Metadata-Version: 2.1
Name: wei_office_simptool
Version: 0.0.26
Summary: 一个用于简化办公工作的工具库，提供了数据库操作、Excel 处理、邮件发送、日期时间戳的格式转换、文件移动等常见功能,实现1到3行代码完成相关处理的快捷操作。
Home-page: https://github.com/phoenixlucky/wei_office_simptool
Author: Ethan Wilkins
Author-email: thisluckyboy@126.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: pathlib
Requires-Dist: pandas
Requires-Dist: pymysql
Requires-Dist: datetime
Requires-Dist: openpyxl
Requires-Dist: toml
Requires-Dist: mysql-connector-python
Requires-Dist: statsmodels
Requires-Dist: jieba
Requires-Dist: wordcloud

# wei_office_simptool

`wei_office_simptool` 一个用于简化办公工作的工具库，提供了数据库操作、Excel 处理、邮件发送、日期时间戳的格式转换、文件移动等常见功能,实现1到3行代码完成相关处理的快捷操作。

## 安装

使用以下命令安装 `wei_office_simptool`：

```bash
pip install wei_office_simptool
```

## 功能

## 1. Database 类
用于连接和操作 MySQL 数据库。
```bash
from wei_office_simptool import Database

# 示例代码
db = Database(host='your_host', port=3306, user='your_user', password='your_password', db='your_database')
result = db("SELECT * FROM your_table", operation_mode="s")
print(result)
```
## 1.1. MySQLDatabase 类
from wei_office_simptool import MySQLDatabase

#### MySQL 连接配置
    mysql_config = {
        'host': 'your_host',
        'user': 'your_user',
        'password': 'your_password',
        'database': 'your_database'
    }

#### 创建 MySQLDatabase 对象
    db = MySQLDatabase(mysql_config)

#### 插入数据
    insert_query = "INSERT INTO your_table (column1, column2) VALUES (%s, %s)"
    insert_params = ("value1", "value2")
    db.execute_query(insert_query, insert_params)

#### 查询数据
    select_query = "SELECT * FROM your_table"
    results = db.fetch_query(select_query)
    for row in results:
        print(row)

#### 更新数据
    update_query = "UPDATE your_table SET column1 = %s WHERE column2 = %s"
    update_params = ("new_value", "value2")
    db.execute_query(update_query, update_params)

#### 删除数据
    delete_query = "DELETE FROM your_table WHERE column1 = %s"
    delete_params = ("new_value",)
    db.execute_query(delete_query, delete_params)

# 关闭连接
    db.close()

## 2. ExcelHandler 类
用于处理 Excel 文件，包括写入和读取。

```bash
from wei_office_simptool import OpenExcel,ExcelHandler

# 示例代码
     home_file = pathlib.Path.cwd()
     openfile = pathlib.Path(home_file) / "1.xlsx"
     savefile = pathlib.Path(home_file) / "2.xlsx"
     with OpenExcel(openfile, savefile).my_open() as ws:
         eExcel.fast_write(ws, results, sr, sc, er=0, ec=0, re=0)
```

### 2.1 eExcel 类
创建、写入表
```bash
from wei_office_simptool import eExcel
eExcel(file_name=r"D:\Deskto\1.xlsx")
#读取
x=eExcel(file_name=r"D:\Deskto\1.xlsx").excel_read(start_row, start_col, end_row, end_col)
#写入
eExcel(file_name=r"D:\Deskto\1.xlsx").excel_write(ws="Sheet1",results, start_row, start_col, end_row, end_col)
```

## 3. eSend 类
用于发送邮件。

```bash
from wei_office_simptool import eSend

# 示例代码
email_sender = eSend(sender,receiver,username,password,smtpserver='smtp.126.com')
email_sender.send_email(subject='Your Subject', e_content='Your Email Content', file_paths=['/path/to/file/'], file_names=['attachment.txt'])
```

## 4 DateFormat 类
用于获取最近的时间处理。

```bash
from wei_office_simptool import DateFormat

# 示例代码
#timeclass:1日期 date 2时间戳 timestamp 3时刻 time 4datetime
#获取当日的日期字符串
x=DateFormat(interval_day=0,timeclass='date').get_timeparameter(Format="%Y-%m-%d")
print(x)

# 格式化df的表的列属性
 df = DateFormat(interval_day=0,timeclass='date').datetime_standar(df, '日期')
```

## 5 FileManagement 类
用于文件移动并且重命名。
```bash
#latest_folder2 当前目录
#destination_directory 目标目录
#target_files2 文件名
#add_prefix 重命名去除数字
#file_type 文件类型
FileManagement().copy_files(latest_folder2, destination_directory, target_files2, rename=True,file_type="xls")
#寻找最新文件夹
latest_folder = FileManagement().find_latest_folder(base_directory)
```

## 6 StringBaba 类
用于清洗字符串。
```bash
str="""
萝卜
白菜
"""
formatted_str =StringBaba(str1).format_string_sql()
```

## 7 TextAnalysis 类
用于进行词频分析。
```bash
# 示例用法
data = {
    'Category': ['A', 'A', 'B', 'D', 'C'],
    'Text': [
        '我爱自然语言处理',
        '自然语言处理很有趣',
        '机器学习是一门很有前途的学科',
        '我对机器学习很感兴趣',
        '数据科学包含很多有趣的内容'
    ]
}

df = pd.DataFrame(data)

ta = TextAnalysis(df)
result = ta.get_word_freq(group_col='Category', text_col='Text', agg_func=' '.join)

word_freqs = result['word_freq'].tolist()
titles = result['Category'].tolist()

ta.plot_wordclouds(word_freqs, titles)
```



## 贡献
#### 有任何问题或建议，请提出 issue。欢迎贡献代码！

Copyright (c) 2024 The Python Packaging Authority
 
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
 
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
### 版权和许可
## © 2024 Ethan Wilkins

### 该项目基于 MIT 许可证 分发。
