# VeighNa框架的TuShare数据服务接口
<p align="center">
<img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>
<p align="center">
<img src ="https://img.shields.io/badge/version-1.4.7.0-blueviolet.svg"/>
<img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
<img src ="https://img.shields.io/badge/python-3.10|3.11|3.12-blue.svg"/>
<img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>
## 说明
基于tushare模块的1.4.7版本开发，支持以下中国金融市场的K线数据：
* 期货：
* CFFEX：中国金融期货交易所
* SHFE：上海期货交易所
* DCE：大连商品交易所
* CZCE：郑州商品交易所
* INE：上海国际能源交易中心
* 股票：
* SSE：上海证券交易所
* SZSE：深圳证券交易所
* BSE：北京证券交易所
注意：需要使用相应的数据服务权限，可以通过[该页面](https://www.tushare.pro)注册使用。
## 数据使用事项
tushare数据源期货数据中，第一条夜盘k线数据是集合竞价数据，用户可以根据自己需求进行过滤或者合并。
## 安装
安装环境推荐基于3.9.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。
直接使用pip命令：
```
pip install vnpy_tushare
```
或者下载源代码后，解压后在cmd中运行：
```
pip install .
```
## 使用
在VeighNa中使用TuShare时，需要在全局配置中填写以下字段信息：
|名称|含义|必填|举例|
|---------|----|---|---|
|datafeed.name|名称|是|tushare|
|datafeed.username|用户名|否|token|
|datafeed.password|密码|是|c3a110417f08f26d2c221edc0c50d4a8a5001502eea89cf5|
# 单元测试
单元测试代码目录为`./tests/test_*.py`
```sh
# 指定文件执行单元测试
python -m unittest tests\test_your_file_name.py
# 全量执行
python -m unittest
```
Raw data
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