# VeighNa框架的TDengine数据库接口
<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-1.0.3-blueviolet.svg"/>
<img src ="https://img.shields.io/badge/platform-windows|linux-yellow.svg"/>
<img src ="https://img.shields.io/badge/python-3.10|3.11|3.12-blue.svg" />
</p>
## 说明
基于TDengine的Python连接器taospy开发的TDengine数据库接口。
**需要使用TDengine 3.3.4.8以上版本。**
## 使用
在VeighNa中使用TDengine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|
|---------|----|---|---|
|database.name|名称|是|taos|
|database.host|地址|是|localhost|
|database.port|端口|是|6030|
|database.database|实例|是|vnpy|
|database.user|用户名|是|root|
|database.password|密码|是|taosdata|
### 连接
连接前需要根据环境安装配置TDengine的客户端和服务端，TDengine的安装流程请参考[官方文档](https://docs.taosdata.com/get-started/docker/)。
新手用户推荐选择Docker方式运行，Windows系统上的整体流程如下：
1. 安装启动[Docker Desktop](https://www.docker.com/)软件
2. 在命令行中拉取最新版本TDengine容器镜像：```docker pull tdengine/tdengine:latest```
3. 运行当前仓库中的start_docker.sh脚本，启动TDengine容器
4. 安装TDengine的Windows客户端软件：[TDengine-client-3.3.4.8-Windows-x64.exe (10.2 M)](https://docs.taosdata.com/get-started/package/)
5. 安装vnpy_taos模块：```pip install vnpy_taos```
6. 参考上一步【使用】中的内容修改VeighNa Trader全局配置中的相关字段
7. 重启VeighNa Trader即可开始使用
Raw data
{
"_id": null,
"home_page": "https://www.vnpy.com",
"name": "vnpy-taos",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "quant, quantitative, investment, trading, algotrading",
"author": "Xiaoyou Chen",
"author_email": "xiaoyou.chen@mail.vnpy.com",
"download_url": "https://files.pythonhosted.org/packages/c8/51/b3a0e2de89e2d8f425291f675130943a73fecd8ba926c2fe5850f191d73b/vnpy_taos-1.0.3.tar.gz",
"platform": null,
"description": "# VeighNa\u6846\u67b6\u7684TDengine\u6570\u636e\u5e93\u63a5\u53e3\r\n\r\n<p align=\"center\">\r\n <img src =\"https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png\"/>\r\n</p>\r\n\r\n<p align=\"center\">\r\n <img src =\"https://img.shields.io/badge/version-1.0.3-blueviolet.svg\"/>\r\n <img src =\"https://img.shields.io/badge/platform-windows|linux-yellow.svg\"/>\r\n <img src =\"https://img.shields.io/badge/python-3.10|3.11|3.12-blue.svg\" />\r\n</p>\r\n\r\n## \u8bf4\u660e\r\n\r\n\u57fa\u4e8eTDengine\u7684Python\u8fde\u63a5\u5668taospy\u5f00\u53d1\u7684TDengine\u6570\u636e\u5e93\u63a5\u53e3\u3002\r\n\r\n**\u9700\u8981\u4f7f\u7528TDengine 3.3.4.8\u4ee5\u4e0a\u7248\u672c\u3002**\r\n\r\n## \u4f7f\u7528\r\n\r\n\u5728VeighNa\u4e2d\u4f7f\u7528TDengine\u65f6\uff0c\u9700\u8981\u5728\u5168\u5c40\u914d\u7f6e\u4e2d\u586b\u5199\u4ee5\u4e0b\u5b57\u6bb5\u4fe1\u606f\uff1a\r\n\r\n|\u540d\u79f0|\u542b\u4e49|\u5fc5\u586b|\u4e3e\u4f8b|\r\n|---------|----|---|---|\r\n|database.name|\u540d\u79f0|\u662f|taos|\r\n|database.host|\u5730\u5740|\u662f|localhost|\r\n|database.port|\u7aef\u53e3|\u662f|6030|\r\n|database.database|\u5b9e\u4f8b|\u662f|vnpy|\r\n|database.user|\u7528\u6237\u540d|\u662f|root|\r\n|database.password|\u5bc6\u7801|\u662f|taosdata|\r\n\r\n### \u8fde\u63a5\r\n\r\n\u8fde\u63a5\u524d\u9700\u8981\u6839\u636e\u73af\u5883\u5b89\u88c5\u914d\u7f6eTDengine\u7684\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u7aef\uff0cTDengine\u7684\u5b89\u88c5\u6d41\u7a0b\u8bf7\u53c2\u8003[\u5b98\u65b9\u6587\u6863](https://docs.taosdata.com/get-started/docker/)\u3002\r\n\r\n\u65b0\u624b\u7528\u6237\u63a8\u8350\u9009\u62e9Docker\u65b9\u5f0f\u8fd0\u884c\uff0cWindows\u7cfb\u7edf\u4e0a\u7684\u6574\u4f53\u6d41\u7a0b\u5982\u4e0b\uff1a\r\n\r\n1. \u5b89\u88c5\u542f\u52a8[Docker Desktop](https://www.docker.com/)\u8f6f\u4ef6\r\n2. \u5728\u547d\u4ee4\u884c\u4e2d\u62c9\u53d6\u6700\u65b0\u7248\u672cTDengine\u5bb9\u5668\u955c\u50cf\uff1a```docker pull tdengine/tdengine:latest```\r\n3. \u8fd0\u884c\u5f53\u524d\u4ed3\u5e93\u4e2d\u7684start_docker.sh\u811a\u672c\uff0c\u542f\u52a8TDengine\u5bb9\u5668\r\n4. \u5b89\u88c5TDengine\u7684Windows\u5ba2\u6237\u7aef\u8f6f\u4ef6\uff1a[TDengine-client-3.3.4.8-Windows-x64.exe (10.2 M)](https://docs.taosdata.com/get-started/package/)\r\n5. \u5b89\u88c5vnpy_taos\u6a21\u5757\uff1a```pip install vnpy_taos```\r\n6. \u53c2\u8003\u4e0a\u4e00\u6b65\u3010\u4f7f\u7528\u3011\u4e2d\u7684\u5185\u5bb9\u4fee\u6539VeighNa Trader\u5168\u5c40\u914d\u7f6e\u4e2d\u7684\u76f8\u5173\u5b57\u6bb5\r\n7. \u91cd\u542fVeighNa Trader\u5373\u53ef\u5f00\u59cb\u4f7f\u7528\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "TDengine database adapter for VeighNa quant trading framework.",
"version": "1.0.3",
"project_urls": {
"Homepage": "https://www.vnpy.com"
},
"split_keywords": [
"quant",
" quantitative",
" investment",
" trading",
" algotrading"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "a25af72d3222b5dbc9f24319e62b73947ef3cd732cc3fb58f824d2b42cf1b800",
"md5": "e9092eeb11008295ad8f53ff5e4639ab",
"sha256": "1801a14ec8932f311097f4c5e888288e9dc93254279ea7efc46b23c5f547e762"
},
"downloads": -1,
"filename": "vnpy_taos-1.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "e9092eeb11008295ad8f53ff5e4639ab",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 7779,
"upload_time": "2024-12-26T02:48:47",
"upload_time_iso_8601": "2024-12-26T02:48:47.418646Z",
"url": "https://files.pythonhosted.org/packages/a2/5a/f72d3222b5dbc9f24319e62b73947ef3cd732cc3fb58f824d2b42cf1b800/vnpy_taos-1.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c851b3a0e2de89e2d8f425291f675130943a73fecd8ba926c2fe5850f191d73b",
"md5": "5c05d0d4ff74d491584c01d787f7ef30",
"sha256": "344ff94fa9af33665c9f8b8098af1830299c3155737cf7f531f7c10744a7a9e7"
},
"downloads": -1,
"filename": "vnpy_taos-1.0.3.tar.gz",
"has_sig": false,
"md5_digest": "5c05d0d4ff74d491584c01d787f7ef30",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 7711,
"upload_time": "2024-12-26T02:48:50",
"upload_time_iso_8601": "2024-12-26T02:48:50.630355Z",
"url": "https://files.pythonhosted.org/packages/c8/51/b3a0e2de89e2d8f425291f675130943a73fecd8ba926c2fe5850f191d73b/vnpy_taos-1.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-26 02:48:50",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "vnpy-taos"
}
JSON