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v6.6

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JohnYan 2023-06-12 20:30:14 +08:00
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8
README.md
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@ -16,7 +16,7 @@
</p>
<p align="center">
<img src="https://img.shields.io/badge/Release-V6.5-green.svg" alt="Downloads">
<img src="https://img.shields.io/badge/Release-V6.6-green.svg" alt="Downloads">
<a target="_blank" href="https://www.python.org/downloads/release/python-390/">
<img src="https://img.shields.io/badge/Python-3.6+-green.svg" />
</a>
@ -59,7 +59,10 @@
- 支持集成chatGPT, 文心一言, 迅飞星火等大模型AI生成
- 没有重复学习成本, 高度可定制化, 注意是高度可定制化!!
具体功能预览可观看视屏了解, [6.0介绍视屏](https://www.bilibili.com/video/BV1Md4y1h7iq) [ChatGPT](https://www.bilibili.com/video/BV1Xs4y1E7c7/)
具体功能预览可观看视屏了解,
- [6.0介绍视屏](https://www.bilibili.com/video/BV1Md4y1h7iq)
- [chatgpt辅助开发](https://www.bilibili.com/video/BV1Xc411g7Lq)
- [chatgpt业务自助探索](https://www.bilibili.com/video/BV1Bo4y1T7BU/)
![大数据](https://www.smartchart.cn/media/editor/微信截图_20211202163316_20211202163647765791.png)
![smartchart](http://smartchart.cn/media/editor/smartvoice_20201224085323156045.png)
@ -328,7 +331,6 @@ v6.5
- 修复图形ES6代码压缩后异常
- 增加数据源图标显示
- 增强ds_df的功能,可将ds数据转为df
v6.5.5
- 数据集开发增加库清单点击下钻到表清单
- 数据集开发新增获取执行语句

2
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@ -16,7 +16,7 @@
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -21,7 +21,7 @@
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@ -182,6 +182,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1476,6 +1489,108 @@ https://github.com/alex-shpak/hugo-book
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@ -27,7 +27,7 @@ let dataset = __dataset__; let tableData = ds_createMap_all(dataset); vapp.d0={
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@ -188,6 +188,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1482,6 +1495,108 @@ https://github.com/alex-shpak/hugo-book
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -23,7 +23,7 @@ vapp.d0 = { &#39;index1&#39;: 100, &#39;index2&#39;: 300} 注意,我们修改了
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@ -184,6 +184,19 @@ https://github.com/alex-shpak/hugo-book
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
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</li>
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
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<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
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</li>
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
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<description> 版权声明 # 为项目能持续维护，并保持稳定的模式，按照社区投票的意见, 开始区分免费版本和专业版本 目前免费版本无需激活， 你可以使用到常用的功能，我们也会保持持续的更新 为保持项目的健康发展，如需进行商用，您需提供使用方并知会作者进行授权 免费版使用者必须保留SmartChart相关版权标识及LOGO，禁止对其进行修改和删除 如果违反，将保留对侵权者追究责任的权利
激活方式 # 您在初次安装Smartchart后会自动免费激活10天的专业版本, 之后专业版本功能会限制使用 请务必仔细阅读免费版本与专业版本的区别, 避免带来的不便 后续如果您还需要继续体验专业版本， 点击查看激活试用方式， 如果您是企业用途，建意使用专业版，获取更快的开发效率，可视化效果, 可靠性的保障及极速的查询体验 针对个人独立开发者,你可以采用廉价的专业版仪表盘激活方案, 可满足小项目的可视化要求 如果需要永久激活专业版，可关注公众号与客服联系,或扫码联系微信客服了解, 非诚勿扰 微信客服不提供技术咨询, 如有使用方法的疑惑,建意加QQ群:476715246 进行沟通
免费版本与专业版本对比: # 功能 免费版 专业版 中台版 个人版 栅格布局 V V V V DATAV V V V V 拖拽布局 V V V 自由开发 V V V 切换图表主题 V V V 主题自由设计 V V V 引入JS V V V 引入CSS V V V 上传静态资源 V V V 使用VUE V V V V 数据集开发 V V V V 所有数据源 V V V V 图形开发 V V V V 图形商店 V V V V 普通模板应用 V V V V 专业模板应用 V V V 复制仪表盘 V V V V 钻取 V V V V 联动 V V V V 筛选 V V V V 单点登录 V V V V 嵌入认证 V V V LDAP认证 V V V Juypter V V V V 快捷存档 V V V 数据加速 V V V 数据API服务 V V V 后台API刷新 V V V 仪表盘同步 V V V 仪表盘版本管理 V V V 数据填报 V V V 报表Portal V V V 多级项目菜单 V 3D场景 V V V 中国式报表 V V V 零代码数据集 V V V 生产部署文档 V V 个性化修改 V V 授权书 V V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3K+图形样列 V V 100+大屏模板 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据质量 V 数据血缘 V 租户管理 V </description>
免费版本与专业版本对比: # 功能 免费版 专业版 中台版 个人版 栅格布局 V V V V DATAV V V V V 拖拽布局 V V V 自由开发 V V V 切换图表主题 V V V 主题自由设计 V V V 引入JS V V V 引入CSS V V V 上传静态资源 V V V 使用VUE V V V V 数据集开发 V V V V 所有数据源 V V V V 图形开发 V V V V 图形商店 V V V V 普通模板应用 V V V V 专业模板应用 V V V 复制仪表盘 V V V V 钻取 V V V V 联动 V V V V 筛选 V V V V 单点登录 V V V V 嵌入认证 V V V LDAP认证 V V V Juypter V V V V 快捷存档 V V V 数据加速 V V V 数据API服务 V V V 后台API刷新 V V V 仪表盘同步 V V V 仪表盘版本管理 V V V 数据填报 V V V 报表Portal V V V 多级项目菜单 V 3D场景 V V V 中国式报表 V V V 零代码数据集 V V V 生产部署文档 V V 个性化修改 V V 授权书 V V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3K+图形样列 V V 100+大屏模板 V V 大模型AI应用 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据质量 V 数据血缘 V 租户管理 V 温馨提示: # 任何盗版使用将保留追究法律责任, 按每套&amp;gt;18W*3赔偿 任何非法使用有很大机率出现不可预见后果 为保障您的权益请不要与任何未经授权的第三方进行购买 大模型应用接口费用按需付费 </description>
</item>
<item>
@ -58,6 +58,15 @@ pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https
<description>新建仪表盘 # 在开发模式下，滑动“开发管理” -&amp;gt;&amp;ldquo;仪表盘&amp;rdquo;-&amp;gt; &amp;ldquo;新增Dashboard&amp;rdquo; 填写相应信息后点击“保存” 点击进入仪表盘开发, 注意点击 &amp;ldquo;E&amp;rdquo; 字!! 点击&amp;quot;设定&amp;quot; -&amp;gt; &amp;ldquo;高级设定&amp;rdquo; -&amp;gt; &amp;ldquo;开启模板&amp;rdquo; 此时可以在工具栏中看到&amp;quot;模板&amp;quot;, 点击进入模板开发 上传模型文件 # 在模板开发界面中, 点击&amp;quot;工具&amp;quot; -&amp;gt; &amp;ldquo;文件上传&amp;rdquo;, 上传你的模型文件, 支持&amp;quot;obj,stl,gltf&amp;quot;格式 上传后点击下方文件, 将自动复制资源链接 场景开发 # 在模板开发界面,将第一行&amp;quot;base.html&amp;quot;修改为&amp;quot;base3d.html&amp;quot; 鼠标放在如下图script标签内, 点击菜单&amp;quot;3D模型&amp;quot; -&amp;gt; &amp;ldquo;加载模型&amp;rdquo; 将上一步中复制出的模型链接, 替换模型url 点击保存, 即可看到3D场景, 不过可能模型过大或过小, 可以进行调整相机景深 点击菜单&amp;quot;3D模型&amp;quot; -&amp;gt; &amp;ldquo;相机景深&amp;rdquo;, 使模型大小到合适 点击&amp;quot;环境光&amp;quot;和&amp;quot;点光源&amp;quot;设定 点击旋转动画, 模型会自动旋转 更多功能可自行探索, 比如交互点击响应事件, 贴图等 也可购买专业版本解锁高级用法</description>
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<title>第一个AI场景</title>
<link>https://help.smartchart.cn/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://help.smartchart.cn/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/</guid>
<description>使用前请观看视屏 # chatgpt辅助开发 chatgpt业务自助探索 开启GPT功能 # 仅6.6.6以上版本支持 在smartchart首页&amp;quot;头像&amp;quot;位置下拉菜单中, 点击&amp;quot;服务配置&amp;quot; 输入以下配置, 你的识别码请观看视屏(关注,点赞,转发)后联系客服获取 { &amp;#34;smtgpt&amp;#34;: { &amp;#34;api_key&amp;#34;: &amp;#34;你的识别码&amp;#34; } } 新建仪表盘 # 在开发模式下，滑动“开发管理” -&amp;gt;&amp;ldquo;仪表盘&amp;rdquo;-&amp;gt; &amp;ldquo;新增Dashboard&amp;rdquo; 填写相应信息后点击“保存” 点击进入仪表盘开发, 注意点击 &amp;ldquo;E&amp;rdquo; 字!! 导入GPT模板 # 在开发页面的&amp;quot;设定&amp;quot;图标下拉菜单中, 点击&amp;quot;常规设定&amp;quot; 点击&amp;quot;上传/本地快照|下载/恢复快照&amp;quot; 输入KEY: 02_GPTTABLE, 点击&amp;quot;本地恢复&amp;quot; 即可 模板修改 # 仪表盘开发页面点击&amp;quot;模板&amp;quot; 修改或者新增选项,对应的区域内容为你的表名或者数据集ID &amp;lt;el-select v-model=&amp;#34;select&amp;#34; slot=&amp;#34;prepend&amp;#34; placeholder=&amp;#34;请选择&amp;#34;&amp;gt; &amp;lt;el-option label=&amp;#34;王者荣耀排名&amp;#34; value=&amp;#34;smartdemo2&amp;#34;&amp;gt;&amp;lt;/el-option&amp;gt; &amp;lt;el-option label=&amp;#34;评论数据集&amp;#34; value=&amp;#34;532&amp;#34;&amp;gt;&amp;lt;/el-option&amp;gt; &amp;lt;/el-select&amp;gt; 现在你可以进行chatgpt数据问答了</description>
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<title>第一个上线数据集</title>
<link>https://help.smartchart.cn/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/</link>
@ -76,7 +85,7 @@ pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https
<guid>https://help.smartchart.cn/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E5%88%9B%E5%BB%BA%E8%BF%9E%E6%8E%A5%E6%B1%A0/</guid>
<description>如何新增数据源 # 在开发模式下，点击“开发管理”-&amp;gt;数据源-&amp;gt;新增 配置连接池参数，注意数据库填写是备注中有写的名称 你可以通过新建一个数据集来测试连接池的连通性
点击“保存” 后，回到数据集列表 点击如下图标&amp;quot;E&amp;quot;，进入数据集开发界面 在开发界面调试 安全控制 # 你可以在“参数”中设定安全控制，可避免用户误操作导致前后端卡死 limit: 可限定最大返回数据数量(但实际数据库查询无limit,需通过mode控制) mode: 控制用户查询行为，默认为模式1
模式 说明 0 严格模式，每次查询向数据库都会增加limit，MPP类型数据库可能会排序失效 1 开发模式，仅调试查询数据库都会增加limit，调试时MPP类型数据库可能会排序失效，但不影响实际 2 宽松模式，查询都不带limit, 仅控制返回limit,需开发者避免大查询 支持的数据源： # 数据库 驱动填写 需安装 使用说明 Mysql mysql 默认支持 Mysql连接池 mysqlpool pip install DBUtils Sqlite sqlite 默认支持 连接地址填写绝对路径 API 任意 默认支持 参考数据集说明文档 EXCEL 任意 默认支持 参考数据集说明文档 SQL Server mssql pip install pymssql SQL Server连接池 mssqlpool ORACLE oracle pip install cx_Oracle ORACLE连接池 oraclepool PostgreSql gp pip install psycopg2 GP gp pip install psycopg2 Impala impala pip install impyla Hive hive pip install impyla DB2 db2 pip install ibm_db 达梦 dm pip install dmPython Python python pip install pandas, openpyxl 参考数据集-&amp;gt;特殊数据源 Redis redis pip install redis 参考数据集-&amp;gt;特殊数据源 Mongodb mongodb pip install pymongo 参考数据集-&amp;gt;特殊数据源 Clickhouse clickhouse pip install clickhouse_driver Elasticsearch es pip install elasticsearch==7.</description>
模式 说明 0 严格模式，每次查询向数据库都会增加limit，MPP类型数据库可能会排序失效 1 开发模式，仅调试查询数据库都会增加limit，调试时MPP类型数据库可能会排序失效，但不影响实际 2 宽松模式，查询都不带limit, 仅控制返回limit,需开发者避免大查询 支持的数据源： # 数据库 驱动填写 需安装 使用说明 Mysql mysql 默认支持 Mysql连接池 mysqlpool pip install DBUtils Sqlite sqlite 默认支持 连接地址填写绝对路径 API 任意 默认支持 参考数据集说明文档 GPT 任意 默认支持 参考GPT说明文档 EXCEL 任意 默认支持 参考数据集说明文档 SQL Server mssql pip install pymssql SQL Server连接池 mssqlpool ORACLE oracle pip install cx_Oracle ORACLE连接池 oraclepool PostgreSql gp pip install psycopg2 GP gp pip install psycopg2 Impala impala pip install impyla Hive hive pip install impyla DB2 db2 pip install ibm_db 达梦 dm pip install dmPython Python python pip install pandas, openpyxl 参考数据集-&amp;gt;特殊数据源 Redis redis pip install redis 参考数据集-&amp;gt;特殊数据源 Mongodb mongodb pip install pymongo 参考数据集-&amp;gt;特殊数据源 Clickhouse clickhouse pip install clickhouse_driver Elasticsearch es pip install elasticsearch==7.</description>
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@ -15,7 +15,7 @@
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -17,7 +17,7 @@
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免费版本与专业版本对比: # 功能 免费版 专业版 中台版 个人版 栅格布局 V V V V DATAV V V V V 拖拽布局 V V V 自由开发 V V V 切换图表主题 V V V 主题自由设计 V V V 引入JS V V V 引入CSS V V V 上传静态资源 V V V 使用VUE V V V V 数据集开发 V V V V 所有数据源 V V V V 图形开发 V V V V 图形商店 V V V V 普通模板应用 V V V V 专业模板应用 V V V 复制仪表盘 V V V V 钻取 V V V V 联动 V V V V 筛选 V V V V 单点登录 V V V V 嵌入认证 V V V LDAP认证 V V V Juypter V V V V 快捷存档 V V V 数据加速 V V V 数据API服务 V V V 后台API刷新 V V V 仪表盘同步 V V V 仪表盘版本管理 V V V 数据填报 V V V 报表Portal V V V 多级项目菜单 V 3D场景 V V V 中国式报表 V V V 零代码数据集 V V V 生产部署文档 V V 个性化修改 V V 授权书 V V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3K&#43;图形样列 V V 100&#43;大屏模板 V V 大模型AI应用 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据质量 V 数据血缘 V 租户管理 V 温馨提示: # 任何盗版使用将保留追究法律责任, 按每套&gt;18W*3赔偿 任何非法使用有很大机率出现不可预见后果 为保障您的权益请不要与任何未经授权的第三方进行购买 大模型应用接口费用按需付费 " />
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@ -5,12 +5,12 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="如何新增数据源 # 在开发模式下，点击“开发管理”-&gt;数据源-&gt;新增 配置连接池参数，注意数据库填写是备注中有写的名称 你可以通过新建一个数据集来测试连接池的连通性
点击“保存” 后，回到数据集列表 点击如下图标&quot;E&quot;，进入数据集开发界面 在开发界面调试 安全控制 # 你可以在“参数”中设定安全控制，可避免用户误操作导致前后端卡死 limit: 可限定最大返回数据数量(但实际数据库查询无limit,需通过mode控制) mode: 控制用户查询行为，默认为模式1
模式 说明 0 严格模式，每次查询向数据库都会增加limit，MPP类型数据库可能会排序失效 1 开发模式，仅调试查询数据库都会增加limit，调试时MPP类型数据库可能会排序失效，但不影响实际 2 宽松模式，查询都不带limit, 仅控制返回limit,需开发者避免大查询 支持的数据源： # 数据库 驱动填写 需安装 使用说明 Mysql mysql 默认支持 Mysql连接池 mysqlpool pip install DBUtils Sqlite sqlite 默认支持 连接地址填写绝对路径 API 任意 默认支持 参考数据集说明文档 EXCEL 任意 默认支持 参考数据集说明文档 SQL Server mssql pip install pymssql SQL Server连接池 mssqlpool ORACLE oracle pip install cx_Oracle ORACLE连接池 oraclepool PostgreSql gp pip install psycopg2 GP gp pip install psycopg2 Impala impala pip install impyla Hive hive pip install impyla DB2 db2 pip install ibm_db 达梦 dm pip install dmPython Python python pip install pandas, openpyxl 参考数据集-&gt;特殊数据源 Redis redis pip install redis 参考数据集-&gt;特殊数据源 Mongodb mongodb pip install pymongo 参考数据集-&gt;特殊数据源 Clickhouse clickhouse pip install clickhouse_driver Elasticsearch es pip install elasticsearch==7.">
模式 说明 0 严格模式，每次查询向数据库都会增加limit，MPP类型数据库可能会排序失效 1 开发模式，仅调试查询数据库都会增加limit，调试时MPP类型数据库可能会排序失效，但不影响实际 2 宽松模式，查询都不带limit, 仅控制返回limit,需开发者避免大查询 支持的数据源： # 数据库 驱动填写 需安装 使用说明 Mysql mysql 默认支持 Mysql连接池 mysqlpool pip install DBUtils Sqlite sqlite 默认支持 连接地址填写绝对路径 API 任意 默认支持 参考数据集说明文档 GPT 任意 默认支持 参考GPT说明文档 EXCEL 任意 默认支持 参考数据集说明文档 SQL Server mssql pip install pymssql SQL Server连接池 mssqlpool ORACLE oracle pip install cx_Oracle ORACLE连接池 oraclepool PostgreSql gp pip install psycopg2 GP gp pip install psycopg2 Impala impala pip install impyla Hive hive pip install impyla DB2 db2 pip install ibm_db 达梦 dm pip install dmPython Python python pip install pandas, openpyxl 参考数据集-&gt;特殊数据源 Redis redis pip install redis 参考数据集-&gt;特殊数据源 Mongodb mongodb pip install pymongo 参考数据集-&gt;特殊数据源 Clickhouse clickhouse pip install clickhouse_driver Elasticsearch es pip install elasticsearch==7.">
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点击“保存” 后，回到数据集列表 点击如下图标&quot;E&quot;，进入数据集开发界面 在开发界面调试 安全控制 # 你可以在“参数”中设定安全控制，可避免用户误操作导致前后端卡死 limit: 可限定最大返回数据数量(但实际数据库查询无limit,需通过mode控制) mode: 控制用户查询行为，默认为模式1
模式 说明 0 严格模式，每次查询向数据库都会增加limit，MPP类型数据库可能会排序失效 1 开发模式，仅调试查询数据库都会增加limit，调试时MPP类型数据库可能会排序失效，但不影响实际 2 宽松模式，查询都不带limit, 仅控制返回limit,需开发者避免大查询 支持的数据源： # 数据库 驱动填写 需安装 使用说明 Mysql mysql 默认支持 Mysql连接池 mysqlpool pip install DBUtils Sqlite sqlite 默认支持 连接地址填写绝对路径 API 任意 默认支持 参考数据集说明文档 EXCEL 任意 默认支持 参考数据集说明文档 SQL Server mssql pip install pymssql SQL Server连接池 mssqlpool ORACLE oracle pip install cx_Oracle ORACLE连接池 oraclepool PostgreSql gp pip install psycopg2 GP gp pip install psycopg2 Impala impala pip install impyla Hive hive pip install impyla DB2 db2 pip install ibm_db 达梦 dm pip install dmPython Python python pip install pandas, openpyxl 参考数据集-&gt;特殊数据源 Redis redis pip install redis 参考数据集-&gt;特殊数据源 Mongodb mongodb pip install pymongo 参考数据集-&gt;特殊数据源 Clickhouse clickhouse pip install clickhouse_driver Elasticsearch es pip install elasticsearch==7." />
模式 说明 0 严格模式，每次查询向数据库都会增加limit，MPP类型数据库可能会排序失效 1 开发模式，仅调试查询数据库都会增加limit，调试时MPP类型数据库可能会排序失效，但不影响实际 2 宽松模式，查询都不带limit, 仅控制返回limit,需开发者避免大查询 支持的数据源： # 数据库 驱动填写 需安装 使用说明 Mysql mysql 默认支持 Mysql连接池 mysqlpool pip install DBUtils Sqlite sqlite 默认支持 连接地址填写绝对路径 API 任意 默认支持 参考数据集说明文档 GPT 任意 默认支持 参考GPT说明文档 EXCEL 任意 默认支持 参考数据集说明文档 SQL Server mssql pip install pymssql SQL Server连接池 mssqlpool ORACLE oracle pip install cx_Oracle ORACLE连接池 oraclepool PostgreSql gp pip install psycopg2 GP gp pip install psycopg2 Impala impala pip install impyla Hive hive pip install impyla DB2 db2 pip install ibm_db 达梦 dm pip install dmPython Python python pip install pandas, openpyxl 参考数据集-&gt;特殊数据源 Redis redis pip install redis 参考数据集-&gt;特殊数据源 Mongodb mongodb pip install pymongo 参考数据集-&gt;特殊数据源 Clickhouse clickhouse pip install clickhouse_driver Elasticsearch es pip install elasticsearch==7." />
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@ -1669,6 +1784,12 @@ mode: 控制用户查询行为，默认为模式1</p>
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117
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@ -29,7 +29,7 @@ sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如
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@ -15,7 +15,7 @@
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -39,7 +39,7 @@ export PATH=$HOME/opt/sqlite/bin:$PATH export LD_LIBRARY_PATH=$HOME/opt/sqlite/l
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -39,7 +39,8 @@ B类数据源 # 再比如表的数据格式, 指标是展开的:
<description>数据刷新设定方法 # smartchart提供非常精细的数据刷新功能,及内存加速功能 你可以在数据集开发界面的菜单中，连接图标&amp;ndash;&amp;gt;刷新设定，进行设定 定时刷新 # 你可以设定前端页面数据集向后端请求刷新的时间间隔，单位秒
如果你发现定时刷新，数据并没有变化，可能原因是您数据的缓存时间设定大于定时刷新的时间
数据集缓存加速（PRO) # smartchart专业版提供内存加速技术，对数据库仅需请求一次，之后都是毫秒级响应
间隔时间刷新,单位分钟,如设定间隔时间为0.5, 则如果下一次访问时间超过30秒, 即触发数据刷新 固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新 强制刷新, 访问url加上&amp;amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间 后台触发强制刷新 (PRO) # 请参考文档 后台主动触发刷新</description>
间隔时间刷新,单位分钟,如设定间隔时间为0.5, 则如果下一次访问时间超过30秒, 即触发数据刷新 固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新 强制刷新, 访问url加上&amp;amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间 关于数据集状态 # 数据集状态, 决定了数据集是否在页面开启时即刷新, 或刷新是同步还是异步
状态 组 定时 手动 异步 标准图形 大于0 大于0 X V 共用数据集 -2 大于0 X X 懒加载数据集 -2 -1 V X 懒加载数据集 -2 -2 V V excel数据集 -3 大于0 X X 后台触发强制刷新 (PRO) # 请参考文档 后台主动触发刷新</description>
</item>
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@ -19,7 +19,7 @@ Smartchart数据集与图形 从仪表盘界面中进入简易开发界面 # " /
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@ -15,7 +15,7 @@
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -27,7 +27,7 @@ ds_setParam(&#39;city&#39;, &#39;顺德&#39;); ds_setParam(&#39;province&#39;, &
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@ -6,13 +6,15 @@
<meta name="description" content="数据刷新设定方法 # smartchart提供非常精细的数据刷新功能,及内存加速功能 你可以在数据集开发界面的菜单中，连接图标&ndash;&gt;刷新设定，进行设定 定时刷新 # 你可以设定前端页面数据集向后端请求刷新的时间间隔，单位秒
如果你发现定时刷新，数据并没有变化，可能原因是您数据的缓存时间设定大于定时刷新的时间
数据集缓存加速（PRO) # smartchart专业版提供内存加速技术，对数据库仅需请求一次，之后都是毫秒级响应
间隔时间刷新,单位分钟,如设定间隔时间为0.5, 则如果下一次访问时间超过30秒, 即触发数据刷新 固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新 强制刷新, 访问url加上&amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间 后台触发强制刷新 (PRO) # 请参考文档 后台主动触发刷新">
间隔时间刷新,单位分钟,如设定间隔时间为0.5, 则如果下一次访问时间超过30秒, 即触发数据刷新 固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新 强制刷新, 访问url加上&amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间 关于数据集状态 # 数据集状态, 决定了数据集是否在页面开启时即刷新, 或刷新是同步还是异步
状态 组 定时 手动 异步 标准图形 大于0 大于0 X V 共用数据集 -2 大于0 X X 懒加载数据集 -2 -1 V X 懒加载数据集 -2 -2 V V excel数据集 -3 大于0 X X 后台触发强制刷新 (PRO) # 请参考文档 后台主动触发刷新">
<meta name="theme-color" content="#FFFFFF">
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<meta property="og:description" content="数据刷新设定方法 # smartchart提供非常精细的数据刷新功能,及内存加速功能 你可以在数据集开发界面的菜单中，连接图标&ndash;&gt;刷新设定，进行设定 定时刷新 # 你可以设定前端页面数据集向后端请求刷新的时间间隔，单位秒
如果你发现定时刷新，数据并没有变化，可能原因是您数据的缓存时间设定大于定时刷新的时间
数据集缓存加速（PRO) # smartchart专业版提供内存加速技术，对数据库仅需请求一次，之后都是毫秒级响应
间隔时间刷新,单位分钟,如设定间隔时间为0.5, 则如果下一次访问时间超过30秒, 即触发数据刷新 固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新 强制刷新, 访问url加上&amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间 后台触发强制刷新 (PRO) # 请参考文档 后台主动触发刷新" />
间隔时间刷新,单位分钟,如设定间隔时间为0.5, 则如果下一次访问时间超过30秒, 即触发数据刷新 固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新 强制刷新, 访问url加上&amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间 关于数据集状态 # 数据集状态, 决定了数据集是否在页面开启时即刷新, 或刷新是同步还是异步
状态 组 定时 手动 异步 标准图形 大于0 大于0 X V 共用数据集 -2 大于0 X X 懒加载数据集 -2 -1 V X 懒加载数据集 -2 -2 V V excel数据集 -3 大于0 X X 后台触发强制刷新 (PRO) # 请参考文档 后台主动触发刷新" />
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@ -1560,6 +1677,7 @@ https://github.com/alex-shpak/hugo-book
<li><a href="#数据刷新设定方法">数据刷新设定方法</a></li>
<li><a href="#定时刷新">定时刷新</a></li>
<li><a href="#数据集缓存加速pro">数据集缓存加速（PRO)</a></li>
<li><a href="#关于数据集状态">关于数据集状态</a></li>
<li><a href="#后台触发强制刷新-pro">后台触发强制刷新 (PRO)</a></li>
</ul>
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@ -1603,6 +1721,59 @@ https://github.com/alex-shpak/hugo-book
<li>固定时点刷新, 如设定间隔时间为-1, 则固定时点刷新, 即访问的时间超过固定的时点时(如上图每天12:39), 触发数据刷新</li>
<li>强制刷新, 访问url加上&amp;refresh=Y, 则强制刷新数据, 此刷新不会影响间隔或固定刷新的时间, 不会更新下次同步时间</li>
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<h3 id="关于数据集状态">
关于数据集状态
<a class="anchor" href="#%e5%85%b3%e4%ba%8e%e6%95%b0%e6%8d%ae%e9%9b%86%e7%8a%b6%e6%80%81">#</a>
</h3>
<p>数据集状态, 决定了数据集是否在页面开启时即刷新, 或刷新是同步还是异步</p>
<table>
<thead>
<tr>
<th style="text-align:left">状态</th>
<th style="text-align:center">组</th>
<th style="text-align:center">定时</th>
<th style="text-align:center">手动</th>
<th style="text-align:center">异步</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">标准图形</td>
<td style="text-align:center">大于0</td>
<td style="text-align:center">大于0</td>
<td style="text-align:center">X</td>
<td style="text-align:center">V</td>
</tr>
<tr>
<td style="text-align:left">共用数据集</td>
<td style="text-align:center">-2</td>
<td style="text-align:center">大于0</td>
<td style="text-align:center">X</td>
<td style="text-align:center">X</td>
</tr>
<tr>
<td style="text-align:left">懒加载数据集</td>
<td style="text-align:center">-2</td>
<td style="text-align:center">-1</td>
<td style="text-align:center">V</td>
<td style="text-align:center">X</td>
</tr>
<tr>
<td style="text-align:left">懒加载数据集</td>
<td style="text-align:center">-2</td>
<td style="text-align:center">-2</td>
<td style="text-align:center">V</td>
<td style="text-align:center">V</td>
</tr>
<tr>
<td style="text-align:left">excel数据集</td>
<td style="text-align:center">-3</td>
<td style="text-align:center">大于0</td>
<td style="text-align:center">X</td>
<td style="text-align:center">X</td>
</tr>
</tbody>
</table>
<h3 id="后台触发强制刷新-pro">
后台触发强制刷新 (PRO)
<a class="anchor" href="#%e5%90%8e%e5%8f%b0%e8%a7%a6%e5%8f%91%e5%bc%ba%e5%88%b6%e5%88%b7%e6%96%b0-pro">#</a>
@ -1664,6 +1835,7 @@ https://github.com/alex-shpak/hugo-book
<li><a href="#数据刷新设定方法">数据刷新设定方法</a></li>
<li><a href="#定时刷新">定时刷新</a></li>
<li><a href="#数据集缓存加速pro">数据集缓存加速（PRO)</a></li>
<li><a href="#关于数据集状态">关于数据集状态</a></li>
<li><a href="#后台触发强制刷新-pro">后台触发强制刷新 (PRO)</a></li>
</ul>
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117
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@ -23,7 +23,7 @@ import pandas as pd df = pd.read_excel(&#39;/Users/../smartdemo.xlsx&#39;, &#39;
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@ -1478,6 +1491,108 @@ https://github.com/alex-shpak/hugo-book
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@ -31,7 +31,7 @@
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docs/docs/2.数据集说明/特殊数据源/index.html
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@ -15,7 +15,7 @@
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
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docs/docs/2.数据集说明/特殊数据源/kafka数据源/index.html
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@ -19,7 +19,7 @@ def dataset(*args, **kwargs): &#34;&#34;&#34; 返回查询数据集 :return: 二
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@ -180,6 +180,19 @@ https://github.com/alex-shpak/hugo-book
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@ -27,7 +27,7 @@ let dataset=ds_mapToList(__dataset__); 参数说明： # 除table，其它都为
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@ -25,7 +25,7 @@ let dataset=__dataset__; //获取返回值列表中的第一值 dataset = datase
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@ -1480,6 +1493,108 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
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@ -23,7 +23,7 @@
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@ -184,6 +184,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1478,6 +1491,108 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
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@ -21,7 +21,7 @@
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@ -182,6 +182,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1476,6 +1489,108 @@ https://github.com/alex-shpak/hugo-book
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@ -25,7 +25,7 @@ let dataset = __dataset__ //传入dataset let legend_label = ds_rowname(dataset)
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
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<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -186,6 +186,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1480,6 +1493,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/ElementUI组件/index.html
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@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<link rel="alternate" type="application/rss+xml" href="https://help.smartchart.cn/docs/3.%E5%9B%BE%E5%BD%A2%E5%BC%80%E5%8F%91/ElementUI%E7%BB%84%E4%BB%B6/index.xml" title="Smartchart开发手册" />
@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
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<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
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117
docs/docs/3.图形开发/ElementUI组件/带分页的表格/index.html
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@ -17,7 +17,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
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<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -178,6 +178,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1472,6 +1485,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/HTML组件/index.html
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@ -23,7 +23,7 @@ let dataset=__dataset__; let table = &#39;&#39;; for (let i=1;i&lt;dataset.lengt
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
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<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -184,6 +184,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1478,6 +1491,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/index.html
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@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
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<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<link rel="alternate" type="application/rss+xml" href="https://help.smartchart.cn/docs/3.%E5%9B%BE%E5%BD%A2%E5%BC%80%E5%8F%91/index.xml" title="Smartchart开发手册" />
@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/函数方法/Jquery遍历方法/index.html
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@ -25,7 +25,7 @@ parent() 获取元素的直接父元素 $(&#34;span&#34;).parent().css({ &#34;co
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
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<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
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<!--
@ -186,6 +186,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1480,6 +1493,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/函数方法/index.html
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@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<link rel="alternate" type="application/rss+xml" href="https://help.smartchart.cn/docs/3.%E5%9B%BE%E5%BD%A2%E5%BC%80%E5%8F%91/%E5%87%BD%E6%95%B0%E6%96%B9%E6%B3%95/index.xml" title="Smartchart开发手册" />
@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/函数方法/图形端数据函数/index.html
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@ -19,7 +19,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -180,6 +180,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/基础图形/index.html
View File

@ -21,7 +21,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -182,6 +182,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1476,6 +1489,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/特殊图形/LineUp图形/index.html
View File

@ -19,7 +19,7 @@ ds_loadcss(&#39;smt_LineUp&#39;); ds_loadjs(&#39;smt_LineUp&#39;); let dataset =
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -180,6 +180,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1c911073b1023b05de57d665aa6300d6" class="toggle" />
<label for="section-1c911073b1023b05de57d665aa6300d6" class="flex justify-between">
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Windows/" class="">Windows</a>
</label>
<ul>
</ul>
</li>
</ul>
</li>

117
docs/docs/3.图形开发/特殊图形/index.html
View File

@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
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<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.970b4c832de9380b57f01955f7cab8a9661b6a06f54716a7bee4f7f5cbfbc88a.js" integrity="sha256-lwtMgy3pOAtX8BlV98q4qWYbagb1RxanvuT39cv7yIo=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<link rel="alternate" type="application/rss+xml" href="https://help.smartchart.cn/docs/3.%E5%9B%BE%E5%BD%A2%E5%BC%80%E5%8F%91/%E7%89%B9%E6%AE%8A%E5%9B%BE%E5%BD%A2/index.xml" title="Smartchart开发手册" />
@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
</li>
<li>
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AA%E4%B8%8A%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86/" class="">第一个上线数据集</a>
@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
<label for="section-1221ac066d992a43b363728eac9711d8" class="flex justify-between">
<a role="button" class="">11.部署指南</a>
</label>
<ul>
<li>
<input type="checkbox" id="section-df28c15db9b442124658f06e614fc60b" class="toggle" />
<label for="section-df28c15db9b442124658f06e614fc60b" class="flex justify-between">
<a role="button" class="">Linux</a>
</label>
<ul>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/SQLite3%E7%89%88%E6%9C%AC%E9%94%99%E8%AF%AF/" class="">Sqlite3版本错误</a>
</li>
<li>
<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
</li>
</ul>
</li>
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@ -17,7 +17,7 @@
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@ -178,6 +178,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1472,6 +1485,108 @@ https://github.com/alex-shpak/hugo-book
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@ -25,7 +25,7 @@ marconfig={ playtime: 3000, //滚动3秒 pausetime: 3000, //停3秒 config:{ dir
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@ -1480,6 +1493,108 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
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@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
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@ -21,7 +21,7 @@
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@ -1476,6 +1489,108 @@ https://github.com/alex-shpak/hugo-book
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -1472,6 +1485,108 @@ https://github.com/alex-shpak/hugo-book
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@ -1478,6 +1491,108 @@ https://github.com/alex-shpak/hugo-book
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@ -1472,6 +1485,108 @@ https://github.com/alex-shpak/hugo-book
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -27,7 +27,7 @@ TIPS: 在图形编辑器中, 可以使用函数 ds_param(&lsquo;参数名&rsquo;
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@ -1482,6 +1495,108 @@ https://github.com/alex-shpak/hugo-book
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@ -29,7 +29,7 @@ select xx, xx, xx from tablename /* where xx = &#39;$pcity&#39; */ 现在回到
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@ -25,7 +25,7 @@ select distinct H1 as heroname from smartdemo2 limit 10 第三步，编辑此数
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@ -15,7 +15,7 @@
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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5
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@ -45,8 +45,9 @@ FORCE: 删除自身所有数据集及高级设定，模板等，完全恢复备
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://help.smartchart.cn/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E9%9B%86%E6%88%90AI%E7%94%9F%E6%88%90/</guid>
<description>应用场景 # 集成chatgpt, 文心一言等大模型技术 未来可以支持smartchart专有AI生成 使用方法 # 当前smartchart已内置了小型生成模型供大家尝试, 仅用于测试用途 如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方 在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心 接入商业大模型 # 首先新建一个文件gptconn.py 写入python脚本,下面以openAI的chatGPT为例,
def dataset(request): import openai openai.api_key = &amp;#39;输入你的api_key&amp;#39; prompt = request.POST.get(&amp;#39;text&amp;#39;) response = openai.Completion.create( model=&amp;#34;text-davinci-003&amp;#34;, prompt=prompt, temperature=0.5, max_tokens=1024, n=1, stop=None ) message = response.choices[0].text return message 在任意仪表盘开发界面&amp;ndash;&amp;gt; 模板 &amp;ndash;&amp;gt; 工具 &amp;ndash;&amp;gt; 文件上传 菜单中将此文件上传即可 之后AI生成服务将采用你自定义的服务</description>
<description>应用场景 # 集成chatgpt, 文心一言等大模型技术 可以支持smartchart专有AI生成 使用方法 # 当前smartchart已内置了生成模型供大家尝试, 视屏关注获取 如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方 在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心 如果你需要要数据集中进行数据问答, 可以选中一段sql或表名后点击菜单&amp;quot;工具&amp;quot;&amp;ndash;&amp;gt;&amp;ldquo;GPT场景&amp;rdquo;,即可开启 接入商业大模型 # 使用azure chatgpt # 在首页&amp;ndash;&amp;gt; 头像位置下拉菜单 &amp;ndash;&amp;gt; 服务配置, 输入并修改为你的以下配置即可使用
{ &amp;#34;smtgpt&amp;#34;: { &amp;#34;url&amp;#34;: &amp;#34;chatgpt&amp;#34;, &amp;#34;api_type&amp;#34;: &amp;#34;azure&amp;#34;, &amp;#34;api_base&amp;#34;: &amp;#34;https://xxx.openai.azure.com/&amp;#34;, &amp;#34;api_version&amp;#34;: &amp;#34;2023-03-15-preview&amp;#34;, &amp;#34;api_key&amp;#34;: &amp;#34;xxxxxxxxxx&amp;#34;, &amp;#34;engine&amp;#34;: &amp;#34;xxxx&amp;#34; } } 其它大模型 # 首先新建一个文件gptconn.py 写入python脚本,下面以openAI的chatGPT为例,
def dataset(prompt): import openai openai.api_key = &amp;#39;输入你的api_key&amp;#39; response = openai.Completion.create( model=&amp;#34;text-davinci-003&amp;#34;, prompt=prompt, temperature=0.5, max_tokens=1024, n=1, stop=None ) message = response.</description>
</item>
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@ -25,7 +25,7 @@
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E7%94%9F%E4%BA%A7%E9%83%A8%E7%BD%B2/" class="">生产部署</a>
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@ -15,7 +15,7 @@
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@ -177,6 +177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -21,7 +21,7 @@
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@ -1476,6 +1489,108 @@ https://github.com/alex-shpak/hugo-book
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@ -23,7 +23,7 @@
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@ -1478,6 +1491,108 @@ https://github.com/alex-shpak/hugo-book
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@ -21,7 +21,7 @@
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@ -1476,6 +1489,108 @@ https://github.com/alex-shpak/hugo-book
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@ -35,7 +35,7 @@ CSS的几种引入方式 行内样式 行内式是在标记的style属性中设
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<!--
@ -196,6 +196,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E7%AC%AC%E4%B8%80%E4%B8%AAAI%E5%9C%BA%E6%99%AF/" class="">第一个AI场景</a>
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@ -1490,6 +1503,108 @@ https://github.com/alex-shpak/hugo-book
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<a href="/docs/11.%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97/Linux/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/" class="">快速开始</a>
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@ -19,7 +19,7 @@
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@ -1474,6 +1487,108 @@ https://github.com/alex-shpak/hugo-book
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@ -29,7 +29,7 @@ FORCE: 删除自身所有数据集及高级设定，模板等，完全恢复备
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@ -1471,6 +1484,108 @@ https://github.com/alex-shpak/hugo-book
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@ -31,7 +31,7 @@ curl -k --insecure &#34;https://www.baidu.com” 修改为可执行文件 chmod
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@ -19,7 +19,7 @@
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@ -31,7 +31,7 @@ data : 二维数组, 第一行为表头, 样列数据如下 [[&#34;heroname&#34;
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@ -19,7 +19,7 @@
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docs/docs/6.进阶开发PRO/集成AI生成/index.html
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@ -3,12 +3,14 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="应用场景 # 集成chatgpt, 文心一言等大模型技术 未来可以支持smartchart专有AI生成 使用方法 # 当前smartchart已内置了小型生成模型供大家尝试, 仅用于测试用途 如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方 在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心 接入商业大模型 # 首先新建一个文件gptconn.py 写入python脚本,下面以openAI的chatGPT为例,
def dataset(request): import openai openai.api_key = &#39;输入你的api_key&#39; prompt = request.POST.get(&#39;text&#39;) response = openai.Completion.create( model=&#34;text-davinci-003&#34;, prompt=prompt, temperature=0.5, max_tokens=1024, n=1, stop=None ) message = response.choices[0].text return message 在任意仪表盘开发界面&ndash;&gt; 模板 &ndash;&gt; 工具 &ndash;&gt; 文件上传 菜单中将此文件上传即可 之后AI生成服务将采用你自定义的服务">
<meta name="description" content="应用场景 # 集成chatgpt, 文心一言等大模型技术 可以支持smartchart专有AI生成 使用方法 # 当前smartchart已内置了生成模型供大家尝试, 视屏关注获取 如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方 在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心 如果你需要要数据集中进行数据问答, 可以选中一段sql或表名后点击菜单&quot;工具&quot;&ndash;&gt;&ldquo;GPT场景&rdquo;,即可开启 接入商业大模型 # 使用azure chatgpt # 在首页&ndash;&gt; 头像位置下拉菜单 &ndash;&gt; 服务配置, 输入并修改为你的以下配置即可使用
{ &#34;smtgpt&#34;: { &#34;url&#34;: &#34;chatgpt&#34;, &#34;api_type&#34;: &#34;azure&#34;, &#34;api_base&#34;: &#34;https://xxx.openai.azure.com/&#34;, &#34;api_version&#34;: &#34;2023-03-15-preview&#34;, &#34;api_key&#34;: &#34;xxxxxxxxxx&#34;, &#34;engine&#34;: &#34;xxxx&#34; } } 其它大模型 # 首先新建一个文件gptconn.py 写入python脚本,下面以openAI的chatGPT为例,
def dataset(prompt): import openai openai.api_key = &#39;输入你的api_key&#39; response = openai.Completion.create( model=&#34;text-davinci-003&#34;, prompt=prompt, temperature=0.5, max_tokens=1024, n=1, stop=None ) message = response.">
<meta name="theme-color" content="#FFFFFF">
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<meta property="og:description" content="应用场景 # 集成chatgpt, 文心一言等大模型技术 未来可以支持smartchart专有AI生成 使用方法 # 当前smartchart已内置了小型生成模型供大家尝试, 仅用于测试用途 如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方 在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心 接入商业大模型 # 首先新建一个文件gptconn.py 写入python脚本,下面以openAI的chatGPT为例,
def dataset(request): import openai openai.api_key = &#39;输入你的api_key&#39; prompt = request.POST.get(&#39;text&#39;) response = openai.Completion.create( model=&#34;text-davinci-003&#34;, prompt=prompt, temperature=0.5, max_tokens=1024, n=1, stop=None ) message = response.choices[0].text return message 在任意仪表盘开发界面&ndash;&gt; 模板 &ndash;&gt; 工具 &ndash;&gt; 文件上传 菜单中将此文件上传即可 之后AI生成服务将采用你自定义的服务" />
<meta property="og:description" content="应用场景 # 集成chatgpt, 文心一言等大模型技术 可以支持smartchart专有AI生成 使用方法 # 当前smartchart已内置了生成模型供大家尝试, 视屏关注获取 如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方 在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心 如果你需要要数据集中进行数据问答, 可以选中一段sql或表名后点击菜单&quot;工具&quot;&ndash;&gt;&ldquo;GPT场景&rdquo;,即可开启 接入商业大模型 # 使用azure chatgpt # 在首页&ndash;&gt; 头像位置下拉菜单 &ndash;&gt; 服务配置, 输入并修改为你的以下配置即可使用
{ &#34;smtgpt&#34;: { &#34;url&#34;: &#34;chatgpt&#34;, &#34;api_type&#34;: &#34;azure&#34;, &#34;api_base&#34;: &#34;https://xxx.openai.azure.com/&#34;, &#34;api_version&#34;: &#34;2023-03-15-preview&#34;, &#34;api_key&#34;: &#34;xxxxxxxxxx&#34;, &#34;engine&#34;: &#34;xxxx&#34; } } 其它大模型 # 首先新建一个文件gptconn.py 写入python脚本,下面以openAI的chatGPT为例,
def dataset(prompt): import openai openai.api_key = &#39;输入你的api_key&#39; response = openai.Completion.create( model=&#34;text-davinci-003&#34;, prompt=prompt, temperature=0.5, max_tokens=1024, n=1, stop=None ) message = response." />
<meta property="og:type" content="article" />
<meta property="og:url" content="https://help.smartchart.cn/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E9%9B%86%E6%88%90AI%E7%94%9F%E6%88%90/" /><meta property="article:section" content="docs" />
@ -19,7 +21,7 @@ def dataset(request): import openai openai.api_key = &#39;输入你的api_key&#3
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@ -180,6 +182,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1578,29 +1695,48 @@ https://github.com/alex-shpak/hugo-book
</h3>
<ul>
<li>集成chatgpt, 文心一言等大模型技术</li>
<li>未来可以支持smartchart专有AI生成</li>
<li>可以支持smartchart专有AI生成</li>
</ul>
<h3 id="使用方法">
使用方法
<a class="anchor" href="#%e4%bd%bf%e7%94%a8%e6%96%b9%e6%b3%95">#</a>
</h3>
<ul>
<li>当前smartchart已内置了小型生成模型供大家尝试, 仅用于测试用途</li>
<li>当前smartchart已内置了生成模型供大家尝试, 视屏关注获取</li>
<li>如果你有chatgpt,或其它大模型的接口, 你也可以直接接入, 接入方法见下方</li>
<li>在模板/数据集开发/容器开发/图形开发中都可以找到如下图标, 输入你的问题, 选中后点即可生成, 注意测试用途较慢, 请耐心
<img referrerpolicy="no-referrer" src="https://foruda.gitee.com/images/1680767755203353730/028044de_5500438.png" alt="输入图片说明" title="屏幕截图"/></li>
<li>如果你需要要数据集中进行数据问答, 可以选中一段sql或表名后点击菜单&quot;工具&quot;&ndash;&gt;&ldquo;GPT场景&rdquo;,即可开启</li>
</ul>
<h3 id="接入商业大模型">
接入商业大模型
<a class="anchor" href="#%e6%8e%a5%e5%85%a5%e5%95%86%e4%b8%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b">#</a>
</h3>
<h4 id="使用azure-chatgpt">
使用azure chatgpt
<a class="anchor" href="#%e4%bd%bf%e7%94%a8azure-chatgpt">#</a>
</h4>
<p>在首页&ndash;&gt; 头像位置下拉菜单 &ndash;&gt; 服务配置, 输入并修改为你的以下配置即可使用</p>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-json" data-lang="json"><span style="display:flex;"><span>{
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;smtgpt&#34;</span>: {
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;url&#34;</span>: <span style="color:#e6db74">&#34;chatgpt&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;api_type&#34;</span>: <span style="color:#e6db74">&#34;azure&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;api_base&#34;</span>: <span style="color:#e6db74">&#34;https://xxx.openai.azure.com/&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;api_version&#34;</span>: <span style="color:#e6db74">&#34;2023-03-15-preview&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;api_key&#34;</span>: <span style="color:#e6db74">&#34;xxxxxxxxxx&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;engine&#34;</span>: <span style="color:#e6db74">&#34;xxxx&#34;</span>
</span></span><span style="display:flex;"><span> }
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div><h4 id="其它大模型">
其它大模型
<a class="anchor" href="#%e5%85%b6%e5%ae%83%e5%a4%a7%e6%a8%a1%e5%9e%8b">#</a>
</h4>
<p>首先新建一个文件gptconn.py
写入python脚本,下面以openAI的chatGPT为例,</p>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span><span style="color:#66d9ef">def</span> <span style="color:#a6e22e">dataset</span>(request):
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span><span style="color:#66d9ef">def</span> <span style="color:#a6e22e">dataset</span>(prompt):
</span></span><span style="display:flex;"><span> <span style="color:#f92672">import</span> openai
</span></span><span style="display:flex;"><span> openai<span style="color:#f92672">.</span>api_key <span style="color:#f92672">=</span> <span style="color:#e6db74">&#39;输入你的api_key&#39;</span>
</span></span><span style="display:flex;"><span> prompt <span style="color:#f92672">=</span> request<span style="color:#f92672">.</span>POST<span style="color:#f92672">.</span>get(<span style="color:#e6db74">&#39;text&#39;</span>)
</span></span><span style="display:flex;"><span> response <span style="color:#f92672">=</span> openai<span style="color:#f92672">.</span>Completion<span style="color:#f92672">.</span>create(
</span></span><span style="display:flex;"><span> model<span style="color:#f92672">=</span><span style="color:#e6db74">&#34;text-davinci-003&#34;</span>,
</span></span><span style="display:flex;"><span> prompt<span style="color:#f92672">=</span>prompt,
@ -1610,7 +1746,7 @@ https://github.com/alex-shpak/hugo-book
</span></span><span style="display:flex;"><span> stop<span style="color:#f92672">=</span><span style="color:#66d9ef">None</span>
</span></span><span style="display:flex;"><span> )
</span></span><span style="display:flex;"><span> message <span style="color:#f92672">=</span> response<span style="color:#f92672">.</span>choices[<span style="color:#ae81ff">0</span>]<span style="color:#f92672">.</span>text
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">return</span> message
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">return</span> {<span style="color:#e6db74">&#39;msg&#39;</span>: message, <span style="color:#e6db74">&#39;token&#39;</span>: <span style="color:#ae81ff">0</span>, <span style="color:#e6db74">&#39;status&#39;</span>: <span style="color:#ae81ff">200</span>}
</span></span></code></pre></div><p>在任意仪表盘开发界面&ndash;&gt; 模板 &ndash;&gt; 工具 &ndash;&gt; 文件上传 菜单中将此文件上传即可
之后AI生成服务将采用你自定义的服务</p>
</article>

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