# VeighNa框架的CTP底层接口
## 改动过,针对rpc做扩展
- 支持远程rpc到server,查询米筐数据
- 除了get_contract_option方法自定义了,其他方法和米筐使用方式一样
- 需要手动装下talib ![img.png](img.png)
```
from client_server.rpc import RpcCli
cli = RpcCli()
df = cli.rpc.get_contract_property(order_book_ids=['10002752'], start_date='20200101',end_date='20210118')
cli.rpc.get_price('000001.XSHE', start_date='2015-04-01', end_date='2015-04-03', adjust_type='none',expect_df=True)
cli.init_backtester()
filter = {"ma_param":60}
cli.load_local_data(table_name='symbol_ma', filter=filter)
```
<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-6.6.7.0-blueviolet.svg"/>
<img src ="https://img.shields.io/badge/platform-windows|linux-yellow.svg"/>
<img src ="https://img.shields.io/badge/python-3.7|3.8|3.9|3.10-blue.svg" />
<img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>
## 说明
基于CTP期货版的6.6.7接口封装开发,接口中自带的是【穿透式实盘环境】的dll文件。
## 安装
安装环境推荐基于3.3.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。
直接使用pip命令:
```
pip install vnpy_ctp
```
或者下载源代码后,解压后在cmd中运行:
```
pip install .
```
使用源代码安装时需要进行C++编译,因此在执行上述命令之前请确保已经安装了【Visual Studio(Windows)】或者【GCC(Linux)】编译器。
## 使用
以脚本方式启动(script/run.py):
```
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp
from vnpy_ctp import CtpGateway
def main():
"""主入口函数"""
qapp = create_qapp()
event_engine = EventEngine()
main_engine = MainEngine(event_engine)
main_engine.add_gateway(CtpGateway)
main_window = MainWindow(main_engine, event_engine)
main_window.showMaximized()
qapp.exec()
if __name__ == "__main__":
main()
```
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