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v6.5.6

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JohnYan 2023-05-19 16:30:25 +08:00
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10
README.md
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@ -56,7 +56,7 @@
- 支持用户/组功能权限控制,支持行级别/字段级别数据权限控制
- 支持Django插件方式应用,可无限扩展,打造你专属的个性化应用
- 支持在Jupyter notebook中的数据开发方式应用
- 支持集成chatGPT, 文心一言等大模型AI生成
- 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/)
@ -328,6 +328,14 @@ 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
- 优化图形调试print的显示逻辑
- 优化图形数据处理参考显示
- 增加ds_filter函数
- 免费版现在支持首页报表清单
```

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@ -1458,87 +1471,6 @@ https://github.com/alex-shpak/hugo-book
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@ -1173,6 +1173,19 @@ 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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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1458,87 +1471,6 @@ 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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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1458,87 +1471,6 @@ https://github.com/alex-shpak/hugo-book
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docs/docs/1.基础操作/index.xml
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@ -76,7 +76,7 @@ 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 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 需安装 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 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>
</item>
<item>
@ -85,13 +85,13 @@ pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https
<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/%E5%BA%94%E7%94%A8%E6%A8%A1%E6%9D%BF/</guid>
<description>应用场景 # 你可以快速应用开发好的模板,极大的提高你的开发和学习效率
<description>应用场景 # 快速应用开发好的模板,极大地提高开发和学习效率
应用本地模板 # 你可以快速应用本地备份的模板, 我们内置了一个 通用的数据查询和下载模板 , 你可以尝试
新建一个全新的dashboard, 不要放任何报表, 点击保存且编辑后, 下方可以看到下载链接, 然后点击下载即可直接应用 输入&amp;quot;01_SMARTCHART&amp;quot;, 点击本地恢复即可 更多本地备份恢复参考
应用商店模板 # 方法同上&amp;quot;应用本地模板&amp;quot;, 注意应用商店模板为收费增值服务
你可以点击 模板查询, 查看相应的价格后在 TB购买即可获取下载密钥 如果是全新的仪表盘, 直接输入下载密钥, 点击&amp;quot; 商城下载 &amp;ldquo;即可 如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载 注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用
资源文件放置路径 有些资源会离线打包提供给你, 只需上传即可, 上传方法参考
如果不清楚可以观看视屏说明 使用方法可参考视屏: 一键应用模板</description>
你可以点击 模板查询, 查看相应的价格后在 TB购买即可获取下载密钥 按照&amp;quot;应用本地模板&amp;quot;的方法, 输入客服提供的下载密钥, 点击&amp;quot; 商城下载 &amp;ldquo;即可 如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载 注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用 使用方法可参考视屏: 一键应用模板
资源文件放置路径
有些资源会离线打包提供给你, 只需上传即可, 上传方法参考</description>
</item>
<item>

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@ -15,7 +15,7 @@
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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -17,7 +17,7 @@
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@ -1169,6 +1169,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1459,87 +1472,6 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -1171,6 +1171,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1461,87 +1474,6 @@ https://github.com/alex-shpak/hugo-book
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docs/docs/1.基础操作/创建连接池/index.html
View File

@ -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 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 需安装 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 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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<meta property="og: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 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 需安装 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 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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@ -21,7 +21,7 @@
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@ -1721,7 +1653,7 @@ mode: 控制用户查询行为，默认为模式1</p>
<tr>
<td style="text-align:left">Mysql连接池</td>
<td style="text-align:center">mysqlpool</td>
<td style="text-align:center"></td>
<td style="text-align:center">pip install DBUtils</td>
<td style="text-align:center"></td>
</tr>
<tr>
@ -1745,7 +1677,7 @@ mode: 控制用户查询行为，默认为模式1</p>
<tr>
<td style="text-align:left">SQL Server</td>
<td style="text-align:center">mssql</td>
<td style="text-align:center">需安装 pip install pymssql</td>
<td style="text-align:center">pip install pymssql</td>
<td style="text-align:center"></td>
</tr>
<tr>

131
docs/docs/1.基础操作/应用模板/index.html
View File

@ -3,22 +3,22 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="应用场景 # 你可以快速应用开发好的模板,极大的提高你的开发和学习效率
<meta name="description" content="应用场景 # 快速应用开发好的模板,极大地提高开发和学习效率
应用本地模板 # 你可以快速应用本地备份的模板, 我们内置了一个 通用的数据查询和下载模板 , 你可以尝试
新建一个全新的dashboard, 不要放任何报表, 点击保存且编辑后, 下方可以看到下载链接, 然后点击下载即可直接应用 输入&quot;01_SMARTCHART&quot;, 点击本地恢复即可 更多本地备份恢复参考
应用商店模板 # 方法同上&quot;应用本地模板&quot;, 注意应用商店模板为收费增值服务
你可以点击 模板查询, 查看相应的价格后在 TB购买即可获取下载密钥 如果是全新的仪表盘, 直接输入下载密钥, 点击&quot; 商城下载 &ldquo;即可 如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载 注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用
资源文件放置路径 有些资源会离线打包提供给你, 只需上传即可, 上传方法参考
如果不清楚可以观看视屏说明 使用方法可参考视屏: 一键应用模板">
你可以点击 模板查询, 查看相应的价格后在 TB购买即可获取下载密钥 按照&quot;应用本地模板&quot;的方法, 输入客服提供的下载密钥, 点击&quot; 商城下载 &ldquo;即可 如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载 注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用 使用方法可参考视屏: 一键应用模板
资源文件放置路径
有些资源会离线打包提供给你, 只需上传即可, 上传方法参考">
<meta name="theme-color" content="#FFFFFF">
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<meta property="og:description" content="应用场景 # 你可以快速应用开发好的模板,极大的提高你的开发和学习效率
<meta property="og:description" content="应用场景 # 快速应用开发好的模板,极大地提高开发和学习效率
应用本地模板 # 你可以快速应用本地备份的模板, 我们内置了一个 通用的数据查询和下载模板 , 你可以尝试
新建一个全新的dashboard, 不要放任何报表, 点击保存且编辑后, 下方可以看到下载链接, 然后点击下载即可直接应用 输入&quot;01_SMARTCHART&quot;, 点击本地恢复即可 更多本地备份恢复参考
应用商店模板 # 方法同上&quot;应用本地模板&quot;, 注意应用商店模板为收费增值服务
你可以点击 模板查询, 查看相应的价格后在 TB购买即可获取下载密钥 如果是全新的仪表盘, 直接输入下载密钥, 点击&quot; 商城下载 &ldquo;即可 如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载 注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用
资源文件放置路径 有些资源会离线打包提供给你, 只需上传即可, 上传方法参考
如果不清楚可以观看视屏说明 使用方法可参考视屏: 一键应用模板" />
你可以点击 模板查询, 查看相应的价格后在 TB购买即可获取下载密钥 按照&quot;应用本地模板&quot;的方法, 输入客服提供的下载密钥, 点击&quot; 商城下载 &ldquo;即可 如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载 注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用 使用方法可参考视屏: 一键应用模板
资源文件放置路径
有些资源会离线打包提供给你, 只需上传即可, 上传方法参考" />
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@ -1181,6 +1181,19 @@ https://github.com/alex-shpak/hugo-book
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</li>
<li>
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/" class="">数据服务 API</a>
@ -1471,87 +1484,6 @@ 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>
</ul>
</li>
@ -1654,7 +1586,7 @@ https://github.com/alex-shpak/hugo-book
应用场景
<a class="anchor" href="#%e5%ba%94%e7%94%a8%e5%9c%ba%e6%99%af">#</a>
</h3>
<p>你可以快速应用开发好的模板,极大的提高你的开发和学习效率</p>
<p>快速应用开发好的模板,极大地提高开发和学习效率</p>
<h3 id="应用本地模板">
应用本地模板
<a class="anchor" href="#%e5%ba%94%e7%94%a8%e6%9c%ac%e5%9c%b0%e6%a8%a1%e6%9d%bf">#</a>
@ -1679,22 +1611,19 @@ https://github.com/alex-shpak/hugo-book
<li>你可以点击
<a href="https://www.smartchart.cn/echart/show/">模板查询</a>, 查看相应的价格后在
<a href="https://smartchart.taobao.com/">TB购买</a>即可获取下载密钥</li>
<li>如果是全新的仪表盘, 直接输入下载密钥, 点击&quot; <strong>商城下载</strong> &ldquo;即可</li>
<li>按照&quot;应用本地模板&quot;的方法, 输入客服提供的下载密钥, 点击&quot; <strong>商城下载</strong> &ldquo;即可</li>
</ul>
<blockquote>
<p>如果仪表盘中有数据集且不再需要, 可以在下载密钥前面加上FORCE即可自动清空已有数据集后自动下载
注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用</p>
</blockquote>
<blockquote>
<p>资源文件放置路径
有些资源会离线打包提供给你, 只需上传即可,
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E4%BD%8E%E4%BB%A3%E7%A0%81%E5%BC%80%E5%8F%91/%E4%B8%8A%E4%BC%A0%E8%B5%84%E6%BA%90%E6%96%87%E4%BB%B6/">上传方法参考</a></p>
</blockquote>
<blockquote>
<p>如果不清楚可以观看视屏说明
注意模板太廉价,购买后并没有咨询服务,请务必自行了解如何使用
使用方法可参考视屏:
<a href="https://www.ixigua.com/6915568494478426631/" title="模板">一键应用模板</a></p>
</blockquote>
<p>资源文件放置路径</p>
<blockquote>
<p>有些资源会离线打包提供给你, 只需上传即可,
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E4%BD%8E%E4%BB%A3%E7%A0%81%E5%BC%80%E5%8F%91/%E4%B8%8A%E4%BC%A0%E8%B5%84%E6%BA%90%E6%96%87%E4%BB%B6/">上传方法参考</a></p>
</blockquote>
</article>

189
docs/docs/1.基础操作/快速开始/index.html
View File

@ -23,7 +23,7 @@ pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https
<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.ba2874ca2d634efe85c9b5912b9a5f8fa8d39fcfeff3d08ca8779eb1b2f08104.js" integrity="sha256-uih0yi1jTv6FybWRK5pfj6jTn8/v89CMqHeesbLwgQQ=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -1175,6 +1175,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
</li>
<li>
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/" class="">数据服务 API</a>
@ -1465,87 +1478,6 @@ 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>
</ul>
</li>
@ -1744,17 +1676,17 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">权限管理,水印,模板应用,版本控制..</td>
</tr>
<tr>
<td style="text-align:left">设定</td>
<td style="text-align:left"></td>
<td style="text-align:center">高级设定</td>
<td style="text-align:center">开启模板/移动端适应/VUE/DATAV/场景背景..</td>
</tr>
<tr>
<td style="text-align:left">设定</td>
<td style="text-align:left"></td>
<td style="text-align:center">批量布局</td>
<td style="text-align:center">批量修改容器的HTML, 不常用</td>
</tr>
<tr>
<td style="text-align:left">设定</td>
<td style="text-align:left"></td>
<td style="text-align:center">容器管理</td>
<td style="text-align:center">批量查看/管理/删除容器, 不常用</td>
</tr>
@ -1769,32 +1701,32 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">新增一个带拖拽容器的图形组件</td>
</tr>
<tr>
<td style="text-align:left">新增</td>
<td style="text-align:left"></td>
<td style="text-align:center">栅格图形</td>
<td style="text-align:center">新增一个带栅格容器的图形组件</td>
</tr>
<tr>
<td style="text-align:left">新增</td>
<td style="text-align:left"></td>
<td style="text-align:center">上线数据集</td>
<td style="text-align:center">新增一个已开发好的数据集(需要是上线状态)</td>
</tr>
<tr>
<td style="text-align:left">新增</td>
<td style="text-align:left"></td>
<td style="text-align:center">懒加载数据集</td>
<td style="text-align:center">新增后在菜单栏可查看编辑,此数据集需自定义触发查询,默认可引用全局变量名为data序号, 如data0</td>
</tr>
<tr>
<td style="text-align:left">新增</td>
<td style="text-align:left"></td>
<td style="text-align:center">通用数据集</td>
<td style="text-align:center">新增后在菜单栏可查看编辑,主动触发查询,全局变量名为data序号, 如data0</td>
</tr>
<tr>
<td style="text-align:left">新增</td>
<td style="text-align:left"></td>
<td style="text-align:center">静态组件</td>
<td style="text-align:center">新增一个不带数据集及图形的html组件, 如图片,文字描述&hellip;</td>
</tr>
<tr>
<td style="text-align:left">新增</td>
<td style="text-align:left"></td>
<td style="text-align:center">复杂报表</td>
<td style="text-align:center">使用类excel的方式开发报表</td>
</tr>
@ -1948,76 +1880,91 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">修改数据集名称</td>
</tr>
<tr>
<td style="text-align:left">标题</td>
<td style="text-align:left"></td>
<td style="text-align:center">联动设定</td>
<td style="text-align:center">图形联动相关的配置</td>
</tr>
<tr>
<td style="text-align:left">标题</td>
<td style="text-align:left"></td>
<td style="text-align:center">权限设定</td>
<td style="text-align:center">数据集权限管理</td>
</tr>
<tr>
<td style="text-align:left">主题</td>
<td style="text-align:center">-</td>
<td style="text-align:center">全局变更编辑器主题</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:center">-</td>
<td style="text-align:center">点击显示默认数据库的表清单</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">切换数据源</td>
<td style="text-align:center">切换数据源</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">编辑数据源</td>
<td style="text-align:center">编辑当前数据源配置</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">新增数据源</td>
<td style="text-align:center">新增数据源</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">刷新设定</td>
<td style="text-align:center">设定数据集的后台缓存及前端刷新间隔时间</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">数据库清单</td>
<td style="text-align:center">获取当前数据源所有的数据库清单</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">表清单</td>
<td style="text-align:center">不选择数据库时, 获取默认数据库表清单, 选中数据库名称,可获取选中数据库表清单</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">表结构</td>
<td style="text-align:center">选中表名,可获取表的字段描述</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">建表语句</td>
<td style="text-align:center">选中表名,可获取表的建表语句</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">表样列</td>
<td style="text-align:center">选中表名,可获取表的样列数据</td>
</tr>
<tr>
<td style="text-align:left">数据源</td>
<td style="text-align:left"></td>
<td style="text-align:center">表条数</td>
<td style="text-align:center">选中表名,可获取表的总条数, 也可选中一段查询获取总条数</td>
</tr>
<tr>
<td style="text-align:left">工具</td>
<td style="text-align:center">代码折叠</td>
<td style="text-align:center">折叠选中的代码</td>
</tr>
<tr>
<td style="text-align:left"></td>
<td style="text-align:center">代码展开</td>
<td style="text-align:center">展开选中的代码</td>
</tr>
<tr>
<td style="text-align:left"></td>
<td style="text-align:center">代码格式化</td>
<td style="text-align:center">格式化选中的代码</td>
</tr>
<tr>
<td style="text-align:left"></td>
<td style="text-align:center">获取执行脚本</td>
<td style="text-align:center">一般用于参数调试时获取实际脚本</td>
</tr>
<tr>
<td style="text-align:left">执行</td>
<td style="text-align:center">-</td>
<td style="text-align:center">执行预览数据集,或选中一段脚本执行</td>
@ -2027,6 +1974,11 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">-</td>
<td style="text-align:center">保存并刷新数据集后台缓存</td>
</tr>
<tr>
<td style="text-align:left">编辑器设定</td>
<td style="text-align:center">-</td>
<td style="text-align:center">设定编辑器的主题等</td>
</tr>
</tbody>
</table>
<h3 id="图形开发">
@ -2060,17 +2012,17 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">系统内置基础图形, 如柱/线/点/饼/中国式报表&hellip;, 可通过配制衍生出各种图形..</td>
</tr>
<tr>
<td style="text-align:left">图形</td>
<td style="text-align:left"></td>
<td style="text-align:center">个人图形</td>
<td style="text-align:center">可以保存个人修改或转化过的图形进行复用</td>
</tr>
<tr>
<td style="text-align:left">图形</td>
<td style="text-align:left"></td>
<td style="text-align:center">图形商店</td>
<td style="text-align:center">参考smartchart官方样列图形, 复制粘贴即可使用</td>
</tr>
<tr>
<td style="text-align:left">图形</td>
<td style="text-align:left"></td>
<td style="text-align:center">Echarts社区</td>
<td style="text-align:center">参考echarts官方样列图形, 复制粘贴后转化即可使用</td>
</tr>
@ -2085,7 +2037,7 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">将echarts原生图形转化为smartchart</td>
</tr>
<tr>
<td style="text-align:left">工具</td>
<td style="text-align:left"></td>
<td style="text-align:center">代码</td>
<td style="text-align:center">代码折叠/展开等</td>
</tr>
@ -2115,12 +2067,12 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">选中组件代码段, 将为组件加上拖拽容器代码</td>
</tr>
<tr>
<td style="text-align:left">容器</td>
<td style="text-align:left"></td>
<td style="text-align:center">栅格</td>
<td style="text-align:center">选中组件代码段, 将为组件加上栅格容器代码</td>
</tr>
<tr>
<td style="text-align:left">容器</td>
<td style="text-align:left"></td>
<td style="text-align:center">DATAV边框</td>
<td style="text-align:center">选中组件代码段, 将为组件加上DATAV边框容器代码</td>
</tr>
@ -2130,12 +2082,12 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">选中带图形的代码段div_list.xx, 打开数据集编辑, 可用快捷键CTRL+Q</td>
</tr>
<tr>
<td style="text-align:left">编辑</td>
<td style="text-align:left"></td>
<td style="text-align:center">图形</td>
<td style="text-align:center">选中带图形的代码段, 打开图形编辑</td>
</tr>
<tr>
<td style="text-align:left">编辑</td>
<td style="text-align:left"></td>
<td style="text-align:center">容器</td>
<td style="text-align:center">选中带图形的代码段, 打开容器编辑</td>
</tr>
@ -2169,6 +2121,11 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">-</td>
<td style="text-align:center">代码折叠,对齐转化,快照定存,文件上传,数据集批量授权..</td>
</tr>
<tr>
<td style="text-align:left">编辑器设定</td>
<td style="text-align:center">-</td>
<td style="text-align:center">设定编辑器的主题等</td>
</tr>
</tbody>
</table>
</article>

96
docs/docs/1.基础操作/权限管理/index.html
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@ -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.ba2874ca2d634efe85c9b5912b9a5f8fa8d39fcfeff3d08ca8779eb1b2f08104.js" integrity="sha256-uih0yi1jTv6FybWRK5pfj6jTn8/v89CMqHeesbLwgQQ=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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<meta name="description" content="FAQ # 启动显示 以一种访问权限不允许的方式做了一个访问套接字的尝试 出现这种情况在Windows中很常见，就是端口被占用，酷狗音乐会占用8000端口 使用netstat -ano|findstr 8000 找到进程号 使用taskkill /pid 进程号 /F
<meta name="description" content=" FAQ # 启动显示 以一种访问权限不允许的方式做了一个访问套接字的尝试 出现这种情况在Windows中很常见，就是端口被占用，酷狗音乐会占用8000端口 使用netstat -ano|findstr 8000 找到进程号 使用taskkill /pid 进程号 /F
输入命令找不到smartchart 检查你是否有安装多个python环境出现环境变量冲突,请卸载一个或取消一个环境变量
如法安装pip 请确认在安装python时,有没有加入环境变量, 可自行加入, 或卸载重装
关于mac版本安装后的各种问题 目前来看最大的可能是，/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的 可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功
sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如果密码忘记了怎么办 命令行输入smartchart changepassword 你的用户名">
关于mac版本安装后的各种问题,目前来看最大的可能是/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的, 可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功
sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如果密码忘记了怎么办 命令行输入smartchart changepassword 你的用户名
由于urllib3升级可以出现以下报错, 可以通过pip install urllib3==1.26.15解决
&lt;PACKAGE&gt; depends on urllib3==2.0.0 requests 2.29.0 depends on urllib3&lt;1.27 and &gt;=1.21.1 ">
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<meta property="og:description" content="FAQ # 启动显示 以一种访问权限不允许的方式做了一个访问套接字的尝试 出现这种情况在Windows中很常见，就是端口被占用，酷狗音乐会占用8000端口 使用netstat -ano|findstr 8000 找到进程号 使用taskkill /pid 进程号 /F
<meta property="og:description" content=" FAQ # 启动显示 以一种访问权限不允许的方式做了一个访问套接字的尝试 出现这种情况在Windows中很常见，就是端口被占用，酷狗音乐会占用8000端口 使用netstat -ano|findstr 8000 找到进程号 使用taskkill /pid 进程号 /F
输入命令找不到smartchart 检查你是否有安装多个python环境出现环境变量冲突,请卸载一个或取消一个环境变量
如法安装pip 请确认在安装python时,有没有加入环境变量, 可自行加入, 或卸载重装
关于mac版本安装后的各种问题 目前来看最大的可能是，/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的 可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功
sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如果密码忘记了怎么办 命令行输入smartchart changepassword 你的用户名" />
关于mac版本安装后的各种问题,目前来看最大的可能是/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的, 可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功
sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如果密码忘记了怎么办 命令行输入smartchart changepassword 你的用户名
由于urllib3升级可以出现以下报错, 可以通过pip install urllib3==1.26.15解决
&lt;PACKAGE&gt; depends on urllib3==2.0.0 requests 2.29.0 depends on urllib3&lt;1.27 and &gt;=1.21.1 " />
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@ -25,7 +29,7 @@ sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如
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@ -1664,8 +1600,7 @@ https://github.com/alex-shpak/hugo-book
请确认在安装python时,有没有加入环境变量, 可自行加入, 或卸载重装</p>
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<p>关于mac版本安装后的各种问题
目前来看最大的可能是，/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的
<p>关于mac版本安装后的各种问题,目前来看最大的可能是/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的,
可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功</p>
<pre tabindex="0"><code>sudo rm -rf /Library/Developer/CommandLineTools
sudo rm -f /usr/bin/python3
@ -1674,6 +1609,11 @@ sudo rm -f /usr/bin/python3
<p>如果密码忘记了怎么办
命令行输入smartchart changepassword 你的用户名</p>
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<p>由于urllib3升级可以出现以下报错, 可以通过pip install urllib3==1.26.15解决</p>
<pre tabindex="0"><code>&lt;PACKAGE&gt; depends on urllib3==2.0.0
requests 2.29.0 depends on urllib3&lt;1.27 and &gt;=1.21.1
</code></pre></li>
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96
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@ -15,7 +15,7 @@
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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1458,87 +1471,6 @@ https://github.com/alex-shpak/hugo-book
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8
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@ -11,11 +11,13 @@
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://help.smartchart.cn/docs/10.%E5%85%B6%E5%AE%83/FAQ/</guid>
<description>FAQ # 启动显示 以一种访问权限不允许的方式做了一个访问套接字的尝试 出现这种情况在Windows中很常见，就是端口被占用，酷狗音乐会占用8000端口 使用netstat -ano|findstr 8000 找到进程号 使用taskkill /pid 进程号 /F
<description> FAQ # 启动显示 以一种访问权限不允许的方式做了一个访问套接字的尝试 出现这种情况在Windows中很常见，就是端口被占用，酷狗音乐会占用8000端口 使用netstat -ano|findstr 8000 找到进程号 使用taskkill /pid 进程号 /F
输入命令找不到smartchart 检查你是否有安装多个python环境出现环境变量冲突,请卸载一个或取消一个环境变量
如法安装pip 请确认在安装python时,有没有加入环境变量, 可自行加入, 或卸载重装
关于mac版本安装后的各种问题 目前来看最大的可能是，/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的 可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功
sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如果密码忘记了怎么办 命令行输入smartchart changepassword 你的用户名</description>
关于mac版本安装后的各种问题,目前来看最大的可能是/Library/Developer/CommandLineTools这个目录下有python3，应该是在某一个版本的Xcode command line tools安装时生成的, 可以先把python3全部卸载，再重新按说明安装，命令行中输入python3 和 pip3， 找不到command时才说明完全卸载成功
sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如果密码忘记了怎么办 命令行输入smartchart changepassword 你的用户名
由于urllib3升级可以出现以下报错, 可以通过pip install urllib3==1.26.15解决
&amp;lt;PACKAGE&amp;gt; depends on urllib3==2.0.0 requests 2.29.0 depends on urllib3&amp;lt;1.27 and &amp;gt;=1.21.1 </description>
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96
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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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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1458,87 +1471,6 @@ https://github.com/alex-shpak/hugo-book
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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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@ -27,7 +27,7 @@ ds_setParam(&#39;city&#39;, &#39;顺德&#39;); ds_setParam(&#39;province&#39;, &
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@ -27,7 +27,7 @@ dataset= { &#34;url&#34;:&#34;https://www.smartchart.cn/smartdata/api&#34;, &#34
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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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@ -19,7 +19,7 @@ def dataset(*args, **kwargs): &#34;&#34;&#34; 返回查询数据集 :return: 二
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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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@ -1171,6 +1171,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1461,87 +1474,6 @@ https://github.com/alex-shpak/hugo-book
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@ -21,7 +21,7 @@
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@ -1173,6 +1173,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1463,87 +1476,6 @@ https://github.com/alex-shpak/hugo-book
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96
docs/docs/3.图形开发/Echarts组件/index.html
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@ -25,7 +25,7 @@ let dataset = __dataset__ //传入dataset let legend_label = ds_rowname(dataset)
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@ -1177,6 +1177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1467,87 +1480,6 @@ https://github.com/alex-shpak/hugo-book
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96
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">
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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1458,87 +1471,6 @@ https://github.com/alex-shpak/hugo-book
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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 @@
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@ -1169,6 +1169,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1459,87 +1472,6 @@ https://github.com/alex-shpak/hugo-book
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docs/docs/3.图形开发/HTML组件/index.html
View File

@ -23,7 +23,7 @@ let dataset=__dataset__; let table = &#39;&#39;; for (let i=1;i&lt;dataset.lengt
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@ -1175,6 +1175,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1465,87 +1478,6 @@ https://github.com/alex-shpak/hugo-book
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<description>应用场景 # 在图形开发中，我们可能需要使用js对传递过来的数据进行处理
原始数据格式 # 假设dataset的格式是, SQL = Select 维度1,维度2,数据 from xxxx, 生成的数据集如下
dataset = [[&amp;#39;category&amp;#39;,&amp;#39;C1&amp;#39;,&amp;#39;C2&amp;#39;], [&amp;#39;R1&amp;#39;, 12, 18], [&amp;#39;R2&amp;#39;, 10, 17] ] 常用转化函数 # 生成字典表示为key-&amp;gt;[], 常用于定制化高的图形 # result = ds_createMap(dataset) 结果 = {&amp;#34;category&amp;#34;:[&amp;#39;C1&amp;#39;,&amp;#39;C2&amp;#39;], &amp;#34;R1&amp;#34; : [12, 10], &amp;#34;R2&amp;#34; : [18, 17]} 生成非常多前端组件要求的格式 # result = ds_createMap_all(dataset) 结果 = [{&amp;#34;category&amp;#34;:&amp;#34;R1&amp;#34;, &amp;#34;C1&amp;#34;: 12, &amp;#34;C2&amp;#34;: 18}, {&amp;#34;category&amp;#34;:&amp;#34;R2&amp;#34;, &amp;#34;C1&amp;#34;: 10, &amp;#34;C2&amp;#34;: 17}] 获取列名list, 用于获取系列名 # result = ds_rowname(dataset) 结果 = [&amp;#39;R1&amp;#39;,&amp;#39;R2&amp;#39;] 将数据集行列转化, 一般用于坐标轴翻转 # result = ds_transform(dataset) 结果 = [[&amp;#39;category&amp;#39;,&amp;#39;R1&amp;#39;,&amp;#39;R2&amp;#39;], [&amp;#39;C1&amp;#39;, 12, 10], [&amp;#39;C2&amp;#39;, 18, 17]] 两个数据集左关联, 常用于将两段查询数据合并 # //假设需要关联的数据集格式： dataset2 = [[&amp;#39;category&amp;#39;,&amp;#39;C3&amp;#39;], [&amp;#39;R1&amp;#39;, 38], [&amp;#39;R6&amp;#39;, 13]] //处理后的结果： result = ds_leftjoin(dataset, dataset2) 结果 = [[&amp;#39;category&amp;#39;,&amp;#39;C1&amp;#39;,&amp;#39;C2&amp;#39;,&amp;#39;C3&amp;#39;], [&amp;#39;R1&amp;#39;, 12, 18, 38], [&amp;#39;R2&amp;#39;, 10, 17, 0] ] 数据集旋转，在excel中叫透视表 # //比如需要将dataset3的户型变成指标 dataset3 = [[&amp;#39;城市&amp;#39;,&amp;#39;户型&amp;#39;,&amp;#39;数量&amp;#39;], [&amp;#39;长沙&amp;#39;,&amp;#39;A&amp;#39;,35], [&amp;#39;上海&amp;#39;,&amp;#39;B&amp;#39;,19]] //处理后的结果： result = ds_pivot(dataset3) 结果 = [[&amp;#34;城市&amp;#34;,&amp;#34;A&amp;#34;,&amp;#34;B&amp;#34;], [&amp;#34;长沙&amp;#34;,35,0], [&amp;#34;上海&amp;#34;,0,19]] 移除数据集中的某几列 # //比如移除第1列（序号0） result=ds_remove_column(dataset,remove_list=[0]) 结果 = [[&amp;#39;R1&amp;#39;,&amp;#39;R2&amp;#39;], [12, 10], [18, 17] ] 图形中可用转化函数 # 函数名 函数说明 样列 ds_transform(dataset) 行列替换 ds_split(data,sep=&amp;rsquo;,&amp;rsquo;,head_add=[]) 将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分 ds_createMap(data) data表示传入的二位数组,生成结果表示为key-&amp;gt;[], 常用于echarts指定数据 ds_createMap_all(data) data表示传入的二维数组,生成结果表示为[{A:A1,B:B1,C:C1},{A:A2,B:B2,C:C2}&amp;hellip;] ds_mapToList(data) 将createMap_all的格式还原成二维数组, 常用于将nosql(mongodb,es.</description>
图形中可用转化函数 # 数据集转化 # 函数名 函数说明 样列 ds_transform(dataset) 行列转置 ds_createMap(dataset) 将数组生成结果表示为key-&amp;gt;[], 常用于echarts指定数据 ds_createMap_all(dataset) 将二维数组转成字典[{A:A1,B:B1,C:C1},&amp;hellip;], 常用于饼图 ds_mapToList(dataset) 将字典还原成二维数组, 常用于将nosql(mongodb,es..)数据源数据处理 ds_pivot(dataset) 将二维数组(维度,维度,值)的第二列的维度透视为行 ds_distinct(dataset) 对单个或多个二维数组去重 ds_filter(dataset, fun) fun为函数如: item=&amp;gt;item[0]==&amp;lsquo;顺德&amp;rsquo; ds_sort(dataset, index=0, asc=true) 按照列序号排序,默认升序,index参数可以是函数,如(a,b)=&amp;gt;a.qty-b.qty ds_remove_column(dataset,remove_list=[0]) 默认移除第一列, 也要移除指定的多个列 ds_split(data,sep=&amp;rsquo;,&amp;rsquo;,head_add=[]) 将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分 数据集关联 # 函数名 函数说明 样列 ds_leftjoin(a,b) 按照第一列左关联两个数据集 ds_crossjoin(a,b) ds_fulljoin(a,b) ds_union(a,b) 合并两个数据集,取第一个数据集的表头 数据集刷新 # 函数名 函数说明 样列 ds_param(name) 传入参数名,获取图形点击时传递来的参数值 ds_setParam(&amp;lsquo;参数名&amp;rsquo;, 参数值) 设定全局参数, 此方法将自动判断当参数值为空时, 删除参数回到初始未传参状态 ds_refresh(序号, param=filter_param) 刷新图形,默认采取全局参数刷新,也可指定param,参数为字典{&amp;ldquo;参数名&amp;rdquo;:&amp;ldquo;值&amp;rdquo;,&amp;hellip;} 数据处理 # 函数名 函数说明 样列 ds_rowname(dataset,start_row=1,column=0) 获取指定列的数据, 常用于获取维度 ds_toThousands(num) 转逗号分隔的千分位 ds_round(num,qty=2) 小数点处理, 默认保留两位小数 Excel数据集 # 函数名 函数说明 样列 ds_excel_refresh(dataset) 刷新复杂报表, dataset格式:{df0:二维数组, df1:二维数组,.</description>
</item>
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@ -4,13 +4,11 @@
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="应用场景 # 在图形开发中，我们可能需要使用js对传递过来的数据进行处理
原始数据格式 # 假设dataset的格式是, SQL = Select 维度1,维度2,数据 from xxxx, 生成的数据集如下
dataset = [[&#39;category&#39;,&#39;C1&#39;,&#39;C2&#39;], [&#39;R1&#39;, 12, 18], [&#39;R2&#39;, 10, 17] ] 常用转化函数 # 生成字典表示为key-&gt;[], 常用于定制化高的图形 # result = ds_createMap(dataset) 结果 = {&#34;category&#34;:[&#39;C1&#39;,&#39;C2&#39;], &#34;R1&#34; : [12, 10], &#34;R2&#34; : [18, 17]} 生成非常多前端组件要求的格式 # result = ds_createMap_all(dataset) 结果 = [{&#34;category&#34;:&#34;R1&#34;, &#34;C1&#34;: 12, &#34;C2&#34;: 18}, {&#34;category&#34;:&#34;R2&#34;, &#34;C1&#34;: 10, &#34;C2&#34;: 17}] 获取列名list, 用于获取系列名 # result = ds_rowname(dataset) 结果 = [&#39;R1&#39;,&#39;R2&#39;] 将数据集行列转化, 一般用于坐标轴翻转 # result = ds_transform(dataset) 结果 = [[&#39;category&#39;,&#39;R1&#39;,&#39;R2&#39;], [&#39;C1&#39;, 12, 10], [&#39;C2&#39;, 18, 17]] 两个数据集左关联, 常用于将两段查询数据合并 # //假设需要关联的数据集格式： dataset2 = [[&#39;category&#39;,&#39;C3&#39;], [&#39;R1&#39;, 38], [&#39;R6&#39;, 13]] //处理后的结果： result = ds_leftjoin(dataset, dataset2) 结果 = [[&#39;category&#39;,&#39;C1&#39;,&#39;C2&#39;,&#39;C3&#39;], [&#39;R1&#39;, 12, 18, 38], [&#39;R2&#39;, 10, 17, 0] ] 数据集旋转，在excel中叫透视表 # //比如需要将dataset3的户型变成指标 dataset3 = [[&#39;城市&#39;,&#39;户型&#39;,&#39;数量&#39;], [&#39;长沙&#39;,&#39;A&#39;,35], [&#39;上海&#39;,&#39;B&#39;,19]] //处理后的结果： result = ds_pivot(dataset3) 结果 = [[&#34;城市&#34;,&#34;A&#34;,&#34;B&#34;], [&#34;长沙&#34;,35,0], [&#34;上海&#34;,0,19]] 移除数据集中的某几列 # //比如移除第1列（序号0） result=ds_remove_column(dataset,remove_list=[0]) 结果 = [[&#39;R1&#39;,&#39;R2&#39;], [12, 10], [18, 17] ] 图形中可用转化函数 # 函数名 函数说明 样列 ds_transform(dataset) 行列替换 ds_split(data,sep=&rsquo;,&rsquo;,head_add=[]) 将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分 ds_createMap(data) data表示传入的二位数组,生成结果表示为key-&gt;[], 常用于echarts指定数据 ds_createMap_all(data) data表示传入的二维数组,生成结果表示为[{A:A1,B:B1,C:C1},{A:A2,B:B2,C:C2}&hellip;] ds_mapToList(data) 将createMap_all的格式还原成二维数组, 常用于将nosql(mongodb,es.">
图形中可用转化函数 # 数据集转化 # 函数名 函数说明 样列 ds_transform(dataset) 行列转置 ds_createMap(dataset) 将数组生成结果表示为key-&gt;[], 常用于echarts指定数据 ds_createMap_all(dataset) 将二维数组转成字典[{A:A1,B:B1,C:C1},&hellip;], 常用于饼图 ds_mapToList(dataset) 将字典还原成二维数组, 常用于将nosql(mongodb,es..)数据源数据处理 ds_pivot(dataset) 将二维数组(维度,维度,值)的第二列的维度透视为行 ds_distinct(dataset) 对单个或多个二维数组去重 ds_filter(dataset, fun) fun为函数如: item=&gt;item[0]==&lsquo;顺德&rsquo; ds_sort(dataset, index=0, asc=true) 按照列序号排序,默认升序,index参数可以是函数,如(a,b)=&gt;a.qty-b.qty ds_remove_column(dataset,remove_list=[0]) 默认移除第一列, 也要移除指定的多个列 ds_split(data,sep=&rsquo;,&rsquo;,head_add=[]) 将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分 数据集关联 # 函数名 函数说明 样列 ds_leftjoin(a,b) 按照第一列左关联两个数据集 ds_crossjoin(a,b) ds_fulljoin(a,b) ds_union(a,b) 合并两个数据集,取第一个数据集的表头 数据集刷新 # 函数名 函数说明 样列 ds_param(name) 传入参数名,获取图形点击时传递来的参数值 ds_setParam(&lsquo;参数名&rsquo;, 参数值) 设定全局参数, 此方法将自动判断当参数值为空时, 删除参数回到初始未传参状态 ds_refresh(序号, param=filter_param) 刷新图形,默认采取全局参数刷新,也可指定param,参数为字典{&ldquo;参数名&rdquo;:&ldquo;值&rdquo;,&hellip;} 数据处理 # 函数名 函数说明 样列 ds_rowname(dataset,start_row=1,column=0) 获取指定列的数据, 常用于获取维度 ds_toThousands(num) 转逗号分隔的千分位 ds_round(num,qty=2) 小数点处理, 默认保留两位小数 Excel数据集 # 函数名 函数说明 样列 ds_excel_refresh(dataset) 刷新复杂报表, dataset格式:{df0:二维数组, df1:二维数组,.">
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<meta property="og:description" content="应用场景 # 在图形开发中，我们可能需要使用js对传递过来的数据进行处理
原始数据格式 # 假设dataset的格式是, SQL = Select 维度1,维度2,数据 from xxxx, 生成的数据集如下
dataset = [[&#39;category&#39;,&#39;C1&#39;,&#39;C2&#39;], [&#39;R1&#39;, 12, 18], [&#39;R2&#39;, 10, 17] ] 常用转化函数 # 生成字典表示为key-&gt;[], 常用于定制化高的图形 # result = ds_createMap(dataset) 结果 = {&#34;category&#34;:[&#39;C1&#39;,&#39;C2&#39;], &#34;R1&#34; : [12, 10], &#34;R2&#34; : [18, 17]} 生成非常多前端组件要求的格式 # result = ds_createMap_all(dataset) 结果 = [{&#34;category&#34;:&#34;R1&#34;, &#34;C1&#34;: 12, &#34;C2&#34;: 18}, {&#34;category&#34;:&#34;R2&#34;, &#34;C1&#34;: 10, &#34;C2&#34;: 17}] 获取列名list, 用于获取系列名 # result = ds_rowname(dataset) 结果 = [&#39;R1&#39;,&#39;R2&#39;] 将数据集行列转化, 一般用于坐标轴翻转 # result = ds_transform(dataset) 结果 = [[&#39;category&#39;,&#39;R1&#39;,&#39;R2&#39;], [&#39;C1&#39;, 12, 10], [&#39;C2&#39;, 18, 17]] 两个数据集左关联, 常用于将两段查询数据合并 # //假设需要关联的数据集格式： dataset2 = [[&#39;category&#39;,&#39;C3&#39;], [&#39;R1&#39;, 38], [&#39;R6&#39;, 13]] //处理后的结果： result = ds_leftjoin(dataset, dataset2) 结果 = [[&#39;category&#39;,&#39;C1&#39;,&#39;C2&#39;,&#39;C3&#39;], [&#39;R1&#39;, 12, 18, 38], [&#39;R2&#39;, 10, 17, 0] ] 数据集旋转，在excel中叫透视表 # //比如需要将dataset3的户型变成指标 dataset3 = [[&#39;城市&#39;,&#39;户型&#39;,&#39;数量&#39;], [&#39;长沙&#39;,&#39;A&#39;,35], [&#39;上海&#39;,&#39;B&#39;,19]] //处理后的结果： result = ds_pivot(dataset3) 结果 = [[&#34;城市&#34;,&#34;A&#34;,&#34;B&#34;], [&#34;长沙&#34;,35,0], [&#34;上海&#34;,0,19]] 移除数据集中的某几列 # //比如移除第1列（序号0） result=ds_remove_column(dataset,remove_list=[0]) 结果 = [[&#39;R1&#39;,&#39;R2&#39;], [12, 10], [18, 17] ] 图形中可用转化函数 # 函数名 函数说明 样列 ds_transform(dataset) 行列替换 ds_split(data,sep=&rsquo;,&rsquo;,head_add=[]) 将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分 ds_createMap(data) data表示传入的二位数组,生成结果表示为key-&gt;[], 常用于echarts指定数据 ds_createMap_all(data) data表示传入的二维数组,生成结果表示为[{A:A1,B:B1,C:C1},{A:A2,B:B2,C:C2}&hellip;] ds_mapToList(data) 将createMap_all的格式还原成二维数组, 常用于将nosql(mongodb,es." />
图形中可用转化函数 # 数据集转化 # 函数名 函数说明 样列 ds_transform(dataset) 行列转置 ds_createMap(dataset) 将数组生成结果表示为key-&gt;[], 常用于echarts指定数据 ds_createMap_all(dataset) 将二维数组转成字典[{A:A1,B:B1,C:C1},&hellip;], 常用于饼图 ds_mapToList(dataset) 将字典还原成二维数组, 常用于将nosql(mongodb,es..)数据源数据处理 ds_pivot(dataset) 将二维数组(维度,维度,值)的第二列的维度透视为行 ds_distinct(dataset) 对单个或多个二维数组去重 ds_filter(dataset, fun) fun为函数如: item=&gt;item[0]==&lsquo;顺德&rsquo; ds_sort(dataset, index=0, asc=true) 按照列序号排序,默认升序,index参数可以是函数,如(a,b)=&gt;a.qty-b.qty ds_remove_column(dataset,remove_list=[0]) 默认移除第一列, 也要移除指定的多个列 ds_split(data,sep=&rsquo;,&rsquo;,head_add=[]) 将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分 数据集关联 # 函数名 函数说明 样列 ds_leftjoin(a,b) 按照第一列左关联两个数据集 ds_crossjoin(a,b) ds_fulljoin(a,b) ds_union(a,b) 合并两个数据集,取第一个数据集的表头 数据集刷新 # 函数名 函数说明 样列 ds_param(name) 传入参数名,获取图形点击时传递来的参数值 ds_setParam(&lsquo;参数名&rsquo;, 参数值) 设定全局参数, 此方法将自动判断当参数值为空时, 删除参数回到初始未传参状态 ds_refresh(序号, param=filter_param) 刷新图形,默认采取全局参数刷新,也可指定param,参数为字典{&ldquo;参数名&rdquo;:&ldquo;值&rdquo;,&hellip;} 数据处理 # 函数名 函数说明 样列 ds_rowname(dataset,start_row=1,column=0) 获取指定列的数据, 常用于获取维度 ds_toThousands(num) 转逗号分隔的千分位 ds_round(num,qty=2) 小数点处理, 默认保留两位小数 Excel数据集 # 函数名 函数说明 样列 ds_excel_refresh(dataset) 刷新复杂报表, dataset格式:{df0:二维数组, df1:二维数组,." />
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@ -21,7 +19,7 @@ dataset = [[&#39;category&#39;,&#39;C1&#39;,&#39;C2&#39;], [&#39;R1&#39;, 12, 18
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<li><a href="#应用场景">应用场景</a></li>
<li><a href="#原始数据格式">原始数据格式</a></li>
<li><a href="#常用转化函数">常用转化函数</a></li>
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<li><a href="#原始数据格式">原始数据格式</a></li>
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<li><a href="#其它方法">其它方法</a></li>
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<a class="anchor" href="#%e5%ba%94%e7%94%a8%e5%9c%ba%e6%99%af">#</a>
</h3>
<p>在图形开发中，我们可能需要使用js对传递过来的数据进行处理</p>
<h3 id="原始数据格式">
<h3 id="图形中可用转化函数">
图形中可用转化函数
<a class="anchor" href="#%e5%9b%be%e5%bd%a2%e4%b8%ad%e5%8f%af%e7%94%a8%e8%bd%ac%e5%8c%96%e5%87%bd%e6%95%b0">#</a>
</h3>
<h4 id="数据集转化">
数据集转化
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e9%9b%86%e8%bd%ac%e5%8c%96">#</a>
</h4>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_transform(dataset)</td>
<td style="text-align:center">行列转置</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_createMap(dataset)</td>
<td style="text-align:center">将数组生成结果表示为key-&gt;[], 常用于echarts指定数据</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_createMap_all(dataset)</td>
<td style="text-align:center">将二维数组转成字典[{A:A1,B:B1,C:C1},&hellip;], 常用于饼图</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_mapToList(dataset)</td>
<td style="text-align:center">将字典还原成二维数组, 常用于将nosql(mongodb,es..)数据源数据处理</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_pivot(dataset)</td>
<td style="text-align:center">将二维数组(维度,维度,值)的第二列的维度透视为行</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_distinct(dataset)</td>
<td style="text-align:center">对单个或多个二维数组去重</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_filter(dataset, fun)</td>
<td style="text-align:center">fun为函数如: item=&gt;item[0]==&lsquo;顺德&rsquo;</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_sort(dataset, index=0, asc=true)</td>
<td style="text-align:center">按照列序号排序,默认升序,index参数可以是函数,如(a,b)=&gt;a.qty-b.qty</td>
<td></td>
</tr>
<tr>
<td style="text-align:left">ds_remove_column(dataset,remove_list=[0])</td>
<td style="text-align:center">默认移除第一列, 也要移除指定的多个列</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_split(data,sep=&rsquo;,&rsquo;,head_add=[])</td>
<td style="text-align:center">将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h4 id="数据集关联">
数据集关联
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e9%9b%86%e5%85%b3%e8%81%94">#</a>
</h4>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_leftjoin(a,b)</td>
<td style="text-align:center">按照第一列左关联两个数据集</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_crossjoin(a,b)</td>
<td style="text-align:center"></td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_fulljoin(a,b)</td>
<td style="text-align:center"></td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_union(a,b)</td>
<td style="text-align:center">合并两个数据集,取第一个数据集的表头</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h4 id="数据集刷新">
数据集刷新
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e9%9b%86%e5%88%b7%e6%96%b0">#</a>
</h4>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_param(name)</td>
<td style="text-align:center">传入参数名,获取图形点击时传递来的参数值</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_setParam(&lsquo;参数名&rsquo;, 参数值)</td>
<td style="text-align:center">设定全局参数, 此方法将自动判断当参数值为空时, 删除参数回到初始未传参状态</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_refresh(序号, param=filter_param)</td>
<td style="text-align:center">刷新图形,默认采取全局参数刷新,也可指定param,参数为字典{&ldquo;参数名&rdquo;:&ldquo;值&rdquo;,&hellip;}</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h4 id="数据处理">
数据处理
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e5%a4%84%e7%90%86">#</a>
</h4>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_rowname(dataset,start_row=1,column=0)</td>
<td style="text-align:center">获取指定列的数据, 常用于获取维度</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_toThousands(num)</td>
<td style="text-align:center">转逗号分隔的千分位</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_round(num,qty=2)</td>
<td style="text-align:center">小数点处理, 默认保留两位小数</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h4 id="excel数据集">
Excel数据集
<a class="anchor" href="#excel%e6%95%b0%e6%8d%ae%e9%9b%86">#</a>
</h4>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_excel_refresh(dataset)</td>
<td style="text-align:center">刷新复杂报表, dataset格式:{df0:二维数组, df1:二维数组,..}</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_excel_value(fillCells,clear=false)</td>
<td style="text-align:center">指定单元格获取复杂报表中的数据, fillcells格式:[&lsquo;A1&rsquo;,&lsquo;B2&rsquo;],一般用于数据填报</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h4 id="数据上传下载">
数据上传下载
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e4%b8%8a%e4%bc%a0%e4%b8%8b%e8%bd%bd">#</a>
</h4>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_save(序号, contents)</td>
<td style="text-align:center">
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E5%A1%AB%E6%8A%A5/">保存数据</a></td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_download(文件名, dataset)</td>
<td style="text-align:center">
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E4%B8%8B%E8%BD%BD/">下载数据</a></td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_uploadfile(file, filename, callback=null)</td>
<td style="text-align:center">上传文件</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h3 id="常用js原生函数">
常用JS原生函数
<a class="anchor" href="#%e5%b8%b8%e7%94%a8js%e5%8e%9f%e7%94%9f%e5%87%bd%e6%95%b0">#</a>
</h3>
<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-javascript" data-lang="javascript"><span style="display:flex;"><span><span style="color:#75715e">//数组追加
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">push</span>(<span style="color:#a6e22e">item</span>)
</span></span><span style="display:flex;"><span><span style="color:#75715e">//数组前方插入
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">unshit</span>(<span style="color:#a6e22e">item</span>)
</span></span><span style="display:flex;"><span><span style="color:#75715e">//切片
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">slice</span>(<span style="color:#ae81ff">1</span>) <span style="color:#75715e">//从序号1个开始到最最后一个
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">slice</span>(<span style="color:#ae81ff">5</span>, <span style="color:#ae81ff">10</span>) <span style="color:#75715e">//从第序号5开始截取到第10个
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">slice</span>(<span style="color:#f92672">-</span><span style="color:#ae81ff">3</span>) <span style="color:#75715e">//截取最后三个元素
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//循环遍历
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//for最快，但可读性比较差(smartchart推荐)
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//forEach比较快，能够控制内容
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//for...in比较慢，不方便
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#66d9ef">for</span>(<span style="color:#66d9ef">let</span> <span style="color:#a6e22e">i</span><span style="color:#f92672">=</span><span style="color:#ae81ff">0</span>; <span style="color:#a6e22e">i</span><span style="color:#f92672">&lt;</span><span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">length</span>; <span style="color:#a6e22e">i</span><span style="color:#f92672">++</span>){
</span></span><span style="display:flex;"><span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div><h3 id="原始数据格式">
原始数据格式
<a class="anchor" href="#%e5%8e%9f%e5%a7%8b%e6%95%b0%e6%8d%ae%e6%a0%bc%e5%bc%8f">#</a>
</h3>
@ -1658,9 +1828,9 @@ https://github.com/alex-shpak/hugo-book
<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-javascript" data-lang="javascript"><span style="display:flex;"><span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> [[<span style="color:#e6db74">&#39;category&#39;</span>,<span style="color:#e6db74">&#39;C1&#39;</span>,<span style="color:#e6db74">&#39;C2&#39;</span>],
</span></span><span style="display:flex;"><span> [<span style="color:#e6db74">&#39;R1&#39;</span>, <span style="color:#ae81ff">12</span>, <span style="color:#ae81ff">18</span>],
</span></span><span style="display:flex;"><span> [<span style="color:#e6db74">&#39;R2&#39;</span>, <span style="color:#ae81ff">10</span>, <span style="color:#ae81ff">17</span>] ]
</span></span></code></pre></div><h3 id="常用转化函数">
常用转化函数
<a class="anchor" href="#%e5%b8%b8%e7%94%a8%e8%bd%ac%e5%8c%96%e5%87%bd%e6%95%b0">#</a>
</span></span></code></pre></div><h3 id="常用转化函数样列参考">
常用转化函数样列参考
<a class="anchor" href="#%e5%b8%b8%e7%94%a8%e8%bd%ac%e5%8c%96%e5%87%bd%e6%95%b0%e6%a0%b7%e5%88%97%e5%8f%82%e8%80%83">#</a>
</h3>
<h4 id="生成字典表示为key--常用于定制化高的图形">
生成字典表示为key-&gt;[], 常用于定制化高的图形
@ -1726,145 +1896,6 @@ https://github.com/alex-shpak/hugo-book
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">结果</span> <span style="color:#f92672">=</span> [[<span style="color:#e6db74">&#39;R1&#39;</span>,<span style="color:#e6db74">&#39;R2&#39;</span>],
</span></span><span style="display:flex;"><span> [<span style="color:#ae81ff">12</span>, <span style="color:#ae81ff">10</span>],
</span></span><span style="display:flex;"><span> [<span style="color:#ae81ff">18</span>, <span style="color:#ae81ff">17</span>] ]
</span></span></code></pre></div><h3 id="图形中可用转化函数">
图形中可用转化函数
<a class="anchor" href="#%e5%9b%be%e5%bd%a2%e4%b8%ad%e5%8f%af%e7%94%a8%e8%bd%ac%e5%8c%96%e5%87%bd%e6%95%b0">#</a>
</h3>
<table>
<thead>
<tr>
<th style="text-align:left">函数名</th>
<th style="text-align:center">函数说明</th>
<th style="text-align:center">样列</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">ds_transform(dataset)</td>
<td style="text-align:center">行列替换</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_split(data,sep=&rsquo;,&rsquo;,head_add=[])</td>
<td style="text-align:center">将第一列拆分成多个字段,默认逗号分隔, 如果不传表头,取SQL中的字段名拆分</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_createMap(data)</td>
<td style="text-align:center">data表示传入的二位数组,生成结果表示为key-&gt;[], 常用于echarts指定数据</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_createMap_all(data)</td>
<td style="text-align:center">data表示传入的二维数组,生成结果表示为[{A:A1,B:B1,C:C1},{A:A2,B:B2,C:C2}&hellip;]</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_mapToList(data)</td>
<td style="text-align:center">将createMap_all的格式还原成二维数组, 常用于将nosql(mongodb,es..)数据源数据处理</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_rowname(dataset,start_row=1,column=0)</td>
<td style="text-align:center">获取指定列的数据, 默认取第一列从第二行(序号1)开始的数据,常用于获取维度</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_remove_column(dataset,remove_list=[0])</td>
<td style="text-align:center">默认移除第一列, 也要移除指定的多个列</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_toThousands(num)</td>
<td style="text-align:center">转逗号分隔的千分位</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_distinct(a, b=[])</td>
<td style="text-align:center">对单个或多个二维数组去重</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_leftjoin(a,b,withhead=true,type=1)</td>
<td style="text-align:center">两个数组join [[1,2,3,4],[2,3,4,5]] ,[[2,3,4]], 如果带头,合并头</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_crossjoin(a,b,withhead=true)</td>
<td style="text-align:center"></td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_fulljoin(a,b,withhead=true)</td>
<td style="text-align:center"></td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_union(a,b,withhead=true)</td>
<td style="text-align:center">合并两个数据集, 可选是否带头, 取第一个数据集的头, 去除第二个头</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_pivot(arr)</td>
<td style="text-align:center">传入二维数组(维度, 维度, 值), 将第二列的维度转为列</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_sort(arr, index=0, asc=true)</td>
<td style="text-align:center">指定二维数组列序号排序,默认升序,index参数也可以是函数,如(a,b)=&gt;{return a.qty - b.qty}</td>
<td></td>
</tr>
<tr>
<td style="text-align:left">ds_round(num,qty=2)</td>
<td style="text-align:center">小数点处理, 默认保留两位小数</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_param(name)</td>
<td style="text-align:center">传入参数名,获取图形点击时传递来的参数值</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_setParam(&lsquo;参数名&rsquo;, 参数值)</td>
<td style="text-align:center">设定全局参数, 此方法将自动判断当参数值为空时, 删除参数回到初始未传参状态</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_refresh(id, param=filter_param)</td>
<td style="text-align:center">刷新图形, id为图形序号,默认采取全局参数刷新,也可指定param,参数为字典{&ldquo;参数名&rdquo;:&ldquo;值&rdquo;,&hellip;}</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_excel_refresh(dataset)</td>
<td style="text-align:center">刷新复杂报表, dataset格式:{df0:二维数组, df1:二维数组,..}</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">ds_excel_value(fillCells,clear=false)</td>
<td style="text-align:center">指定单元格获取复杂报表中的数据, fillcells格式:[&lsquo;A1&rsquo;,&lsquo;B2&rsquo;],一般用于数据填报</td>
<td style="text-align:center"></td>
</tr>
</tbody>
</table>
<h3 id="常用js原生函数">
常用JS原生函数
<a class="anchor" href="#%e5%b8%b8%e7%94%a8js%e5%8e%9f%e7%94%9f%e5%87%bd%e6%95%b0">#</a>
</h3>
<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-javascript" data-lang="javascript"><span style="display:flex;"><span><span style="color:#75715e">//数组追加
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">push</span>(<span style="color:#a6e22e">item</span>)
</span></span><span style="display:flex;"><span><span style="color:#75715e">//数组前方插入
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">unshit</span>(<span style="color:#a6e22e">item</span>)
</span></span><span style="display:flex;"><span><span style="color:#75715e">//切片
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">slice</span>(<span style="color:#ae81ff">1</span>) <span style="color:#a6e22e">从序号1个开始到最最后一个</span>
</span></span><span style="display:flex;"><span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">slice</span>(<span style="color:#ae81ff">5</span>, <span style="color:#ae81ff">10</span>) <span style="color:#a6e22e">从第序号5开始截取到第10个</span>
</span></span><span style="display:flex;"><span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">slice</span>(<span style="color:#f92672">-</span><span style="color:#ae81ff">3</span>) <span style="color:#a6e22e">截取最后三个元素</span>
</span></span><span style="display:flex;"><span><span style="color:#75715e">//循环遍历
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//for最快，但可读性比较差(smartchart推荐)
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//forEach比较快，能够控制内容
</span></span></span><span style="display:flex;"><span><span style="color:#75715e">//for...in比较慢，不方便
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#66d9ef">for</span>(<span style="color:#66d9ef">let</span> <span style="color:#a6e22e">i</span><span style="color:#f92672">=</span><span style="color:#ae81ff">0</span>; <span style="color:#a6e22e">i</span><span style="color:#f92672">&lt;</span><span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">length</span>; <span style="color:#a6e22e">i</span><span style="color:#f92672">++</span>){
</span></span><span style="display:flex;"><span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div><h3 id="其它方法">
其它方法
<a class="anchor" href="#%e5%85%b6%e5%ae%83%e6%96%b9%e6%b3%95">#</a>
@ -1948,10 +1979,10 @@ dataset = ds_split(dataset,&#39;,&#39;,[&#39;维度A&#39;,&#39;维度B&#39;])
<li>
<ul>
<li><a href="#应用场景">应用场景</a></li>
<li><a href="#原始数据格式">原始数据格式</a></li>
<li><a href="#常用转化函数">常用转化函数</a></li>
<li><a href="#图形中可用转化函数">图形中可用转化函数</a></li>
<li><a href="#常用js原生函数">常用JS原生函数</a></li>
<li><a href="#原始数据格式">原始数据格式</a></li>
<li><a href="#常用转化函数样列参考">常用转化函数样列参考</a></li>
<li><a href="#其它方法">其它方法</a></li>
</ul>
</li>

96
docs/docs/3.图形开发/基础图形/index.html
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@ -21,7 +21,7 @@
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<!--
@ -1173,6 +1173,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
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<li>
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/" class="">数据服务 API</a>
@ -1463,87 +1476,6 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
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</label>
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</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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</ul>
</li>

96
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">
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<!--
@ -1171,6 +1171,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
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@ -1461,87 +1474,6 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
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<ul>
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</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>
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</ul>
</li>

96
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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">
<script defer src="/flexsearch.min.js"></script>
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<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" 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" />
@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
</li>
<li>
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/" class="">数据服务 API</a>
@ -1458,87 +1471,6 @@ 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>
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<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>
</ul>
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96
docs/docs/3.图形开发/特殊图形/使用图标/index.html
View File

@ -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.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -1169,6 +1169,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
</li>
<li>
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/" class="">数据服务 API</a>
@ -1459,87 +1472,6 @@ https://github.com/alex-shpak/hugo-book
</li>
</ul>
</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
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<a role="button" class="">11.部署指南</a>
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<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>
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96
docs/docs/3.图形开发/特殊图形/无缝滚动/index.html
View File

@ -25,7 +25,7 @@ marconfig={ playtime: 3000, //滚动3秒 pausetime: 3000, //停3秒 config:{ dir
<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>
<!--
@ -1177,6 +1177,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
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<li>
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/" class="">数据服务 API</a>
@ -1467,87 +1480,6 @@ https://github.com/alex-shpak/hugo-book
</li>
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</li>
<li>
<input type="checkbox" id="section-1221ac066d992a43b363728eac9711d8" class="toggle" />
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<a role="button" class="">Linux</a>
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<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>
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<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>
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<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>
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96
docs/docs/3.图形开发/特殊图形/特殊图形加载/index.html
View File

@ -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">
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<script defer src="/en.search.min.434a94c76588af150f3f16ff95526eef6dd460dea036ab853a48f798f59f3c57.js" integrity="sha256-Q0qUx2WIrxUPPxb/lVJu723UYN6gNquFOkj3mPWfPFc=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--
@ -1171,6 +1171,19 @@ https://github.com/alex-shpak/hugo-book
<a href="/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/" class="">数据服务设定</a>
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@ -1461,87 +1474,6 @@ https://github.com/alex-shpak/hugo-book
</li>
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<a role="button" class="">11.部署指南</a>
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<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>
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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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96
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View File

@ -19,7 +19,7 @@
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@ -1168,6 +1168,19 @@ https://github.com/alex-shpak/hugo-book
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@ -1458,87 +1471,6 @@ https://github.com/alex-shpak/hugo-book
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@ -19,7 +19,7 @@
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@ -1461,87 +1474,6 @@ 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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@ -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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@ -1177,6 +1177,19 @@ https://github.com/alex-shpak/hugo-book
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@ -15,7 +15,7 @@
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@ -5,15 +5,30 @@
<link>https://help.smartchart.cn/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/</link>
<description>Recent content on Smartchart开发手册</description>
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<item>
<title></title>
<link>https://help.smartchart.cn/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/</link>
<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/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1%E8%AE%BE%E5%AE%9A/</guid>
<description>SmartChart的数据集功能, 可以非常方便的实现数据对外微服务 # 权限设定 # 账号访问权限 # 超级管理员可以在首页右上角用户图标的菜单中, 找到&amp;quot;服务配置&amp;quot;打开 比如需要调用API的用户名为test 和 test2，用户名需要是在你的用户设定中存在的,内容如下: { &amp;#34;test&amp;#34;: { &amp;#34;token&amp;#34;: &amp;#34;smartchart&amp;#34; }, &amp;#34;test2&amp;#34;: { &amp;#34;token&amp;#34;: &amp;#34;smartchartxxx&amp;#34;, &amp;#34;host&amp;#34;: [&amp;#34;10.10.10.10&amp;#34;,&amp;#34;10.10.10.23&amp;#34;], &amp;#34;limit&amp;#34;: 60, &amp;#34;log&amp;#34;:1, &amp;#34;cors&amp;#34;: 1 } } 可选设定参考test2 host:API白名单配置，limit:一分钟内可调用次数, log:日志记录方式. cors:永许跨域访问
数据集权限 # 在数据集权限管理中, 将你需要开放的数据集的权限, 设定给对应的用户 API请求方式请参考 数据服务API</description>
</item>
<item>
<title></title>
<link>https://help.smartchart.cn/docs/6.%E8%BF%9B%E9%98%B6%E5%BC%80%E5%8F%91PRO/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/</link>
<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/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1/%E6%95%B0%E6%8D%AE%E6%9C%8D%E5%8A%A1API/</guid>
<description>SmartChart的数据集功能, 可以非常方便的实现数据对外微服务 # 权限设定 # 帐号访问权限 # 超级管理员可以在首页右上角用户图标的菜单中, 找到&amp;quot;服务配置&amp;quot;打开 比如需要调用API的用户名为test 和 test2，用户名需要是在你的用户设定中存在的,内容如下: { &amp;#34;test&amp;#34;: { &amp;#34;token&amp;#34;: &amp;#34;smartchart&amp;#34; }, &amp;#34;test2&amp;#34;: { &amp;#34;token&amp;#34;: &amp;#34;smartchartxxx&amp;#34;, &amp;#34;host&amp;#34;: [&amp;#34;10.10.10.10&amp;#34;,&amp;#34;10.10.10.23&amp;#34;], &amp;#34;limit&amp;#34;: 60, &amp;#34;log&amp;#34;:1, &amp;#34;cors&amp;#34;: 1 } } 可选设定参考test2 host:API白名单配置，limit:一分钟内可调用次数, log:日志记录方式. cors:永许跨域访问
数据集权限 # 在数据集权限管理中, 将你需要开放的数据集的权限, 设定给对应的用户 请求方式 # 加密接口请求方式（推荐） # 下文提到的&amp;quot;秘钥&amp;quot;即上文设定中的&amp;quot;token&amp;quot;, 注意上文的token非下文提到的token
GET 请求 # #接口请求格式: url= &amp;#39;/echart/dataset_api/?visitor=xxx&amp;amp;token=xxx&amp;amp;type=xxx&amp;amp;stamp=xxxxx&amp;amp;param={&amp;#34;xx&amp;#34;:&amp;#34;xxx&amp;#34;,&amp;#34;xx&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; # 参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 + stamp + visitor + type) param: 数据集查询参数清单(可选), 格式json字符串, 如: &amp;#39;{&amp;#34;参数A&amp;#34;:&amp;#34;xxxx&amp;#34;, &amp;#34;参数B&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; # 接口返回格式Json: { &amp;#34;data&amp;#34;:[[]], &amp;#34;result&amp;#34;:&amp;#34;success&amp;#34;, &amp;#34;maxpg&amp;#34;:1, &amp;#34;pg&amp;#34;:1 } # 返回值说明: data : 二维数组, 第一行为表头, 样列数据如下 [[&amp;#34;heroname&amp;#34;, &amp;#34;qty&amp;#34;],[&amp;#34;镜&amp;#34;,658],[&amp;#34;猪八戒&amp;#34;,591]] result : success 或 error maxpg/pg : GET请求固定为1不分页 POST请求(适用于后台定时同步数据，查询请用GET请求方法) # #接口请求格式: url: /echart/dataset_api/ # 请求参数data: { &amp;#34;visitor&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;token&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;stamp&amp;#34;:xxxxx, &amp;#34;type&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;pagesize&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;pg&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;param&amp;#34;:&amp;#39;{&amp;#34;xxx&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; } # data参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 + stamp + visitor + type) Pagesize: 采用分页, 每页的数据量大小 pg: 返回第几页 param: 数据集查询参数清单(可单), 拼接成json字符串, 如: &amp;#39;{&amp;#34;参数A&amp;#34;:&amp;#34;xxxx&amp;#34;, &amp;#34;参数B&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; #接口返回格式Json: { &amp;#34;data&amp;#34;:[[]], &amp;#34;result&amp;#34;:&amp;#34;success&amp;#34;, &amp;#34;maxpg&amp;#34;:xxx, #最大页数 &amp;#34;pg&amp;#34;:xx, #当前页数 &amp;#34;casheflag&amp;#34;: xx, #如果是999说明命中缓存 &amp;#34;total&amp;#34;:xx, #总条数 } 注意： 只有post是分页的, 第一页是带标题的， 后面页不带标题 由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求 不要请求大数据量，大量数据请采用limit, offset传参方式进行分页</description>
<description>加密接口请求方式（推荐） # 下文提到的&amp;quot;秘钥&amp;quot;即管理员在API服务设定中的&amp;quot;token&amp;quot;
Content-Type为application/x-www-form-urlencoded
GET请求 # 接口请求URL
/echart/dataset_api/?visitor=xxx&amp;amp;token=xxx&amp;amp;type=xxx&amp;amp;stamp=xxxxx&amp;amp;param={&amp;#34;xx&amp;#34;:&amp;#34;xxx&amp;#34;,&amp;#34;xx&amp;#34;:&amp;#34;xxxx&amp;#34;} 参数说明
visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 + stamp + visitor + type) param: 数据集查询参数清单(可选), 格式json字符串, 如: &amp;#39;{&amp;#34;参数A&amp;#34;:&amp;#34;xxxx&amp;#34;, &amp;#34;参数B&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; 接口返回格式Json
{ &amp;#34;data&amp;#34;:[[]], &amp;#34;result&amp;#34;:&amp;#34;success&amp;#34;, &amp;#34;maxpg&amp;#34;:1, &amp;#34;pg&amp;#34;:1 } 返回值说明
data : 二维数组, 第一行为表头, 样列数据如下 [[&amp;#34;heroname&amp;#34;, &amp;#34;qty&amp;#34;],[&amp;#34;镜&amp;#34;,658],[&amp;#34;猪八戒&amp;#34;,591]] result : success 或 error maxpg/pg : GET请求固定为1不分页 POST请求 # 适用于后台定时同步数据，查询请用GET请求方法
#接口请求格式: url: /echart/dataset_api/ #请求参数data: { &amp;#34;visitor&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;token&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;stamp&amp;#34;:xxxxx, &amp;#34;type&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;pagesize&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;pg&amp;#34;:&amp;#34;xxx&amp;#34;, &amp;#34;param&amp;#34;:&amp;#39;{&amp;#34;xxx&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; } #data参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 + stamp + visitor + type) Pagesize: 采用分页, 每页的数据量大小 pg: 返回第几页 param: 数据集查询参数清单(可单), 拼接成json字符串, 如: &amp;#39;{&amp;#34;参数A&amp;#34;:&amp;#34;xxxx&amp;#34;, &amp;#34;参数B&amp;#34;:&amp;#34;xxxx&amp;#34;}&amp;#39; #接口返回格式Json: { &amp;#34;data&amp;#34;:[[]], &amp;#34;result&amp;#34;:&amp;#34;success&amp;#34;, &amp;#34;maxpg&amp;#34;:xxx, #最大页数 &amp;#34;pg&amp;#34;:xx, #当前页数 &amp;#34;casheflag&amp;#34;: xx, #如果是999说明命中缓存 &amp;#34;total&amp;#34;:xx, #总条数 } 注意： 只有post是分页的, 第一页是带标题的， 后面页不带标题 由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求 不要请求大数据量，大量数据请采用limit, offset传参方式进行分页</description>
</item>
<item>

96
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docs/docs/6.进阶开发PRO/数据服务/数据服务API/index.html
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@ -3,14 +3,24 @@
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<meta name="description" content="SmartChart的数据集功能, 可以非常方便的实现数据对外微服务 # 权限设定 # 帐号访问权限 # 超级管理员可以在首页右上角用户图标的菜单中, 找到&quot;服务配置&quot;打开 比如需要调用API的用户名为test 和 test2，用户名需要是在你的用户设定中存在的,内容如下: { &#34;test&#34;: { &#34;token&#34;: &#34;smartchart&#34; }, &#34;test2&#34;: { &#34;token&#34;: &#34;smartchartxxx&#34;, &#34;host&#34;: [&#34;10.10.10.10&#34;,&#34;10.10.10.23&#34;], &#34;limit&#34;: 60, &#34;log&#34;:1, &#34;cors&#34;: 1 } } 可选设定参考test2 host:API白名单配置，limit:一分钟内可调用次数, log:日志记录方式. cors:永许跨域访问
数据集权限 # 在数据集权限管理中, 将你需要开放的数据集的权限, 设定给对应的用户 请求方式 # 加密接口请求方式（推荐） # 下文提到的&quot;秘钥&quot;即上文设定中的&quot;token&quot;, 注意上文的token非下文提到的token
GET 请求 # #接口请求格式: url= &#39;/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=xxx&amp;stamp=xxxxx&amp;param={&#34;xx&#34;:&#34;xxx&#34;,&#34;xx&#34;:&#34;xxxx&#34;}&#39; # 参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) param: 数据集查询参数清单(可选), 格式json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; # 接口返回格式Json: { &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:1, &#34;pg&#34;:1 } # 返回值说明: data : 二维数组, 第一行为表头, 样列数据如下 [[&#34;heroname&#34;, &#34;qty&#34;],[&#34;镜&#34;,658],[&#34;猪八戒&#34;,591]] result : success 或 error maxpg/pg : GET请求固定为1不分页 POST请求(适用于后台定时同步数据，查询请用GET请求方法) # #接口请求格式: url: /echart/dataset_api/ # 请求参数data: { &#34;visitor&#34;:&#34;xxx&#34;, &#34;token&#34;:&#34;xxx&#34;, &#34;stamp&#34;:xxxxx, &#34;type&#34;:&#34;xxx&#34;, &#34;pagesize&#34;:&#34;xxx&#34;, &#34;pg&#34;:&#34;xxx&#34;, &#34;param&#34;:&#39;{&#34;xxx&#34;:&#34;xxxx&#34;}&#39; } # data参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) Pagesize: 采用分页, 每页的数据量大小 pg: 返回第几页 param: 数据集查询参数清单(可单), 拼接成json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; #接口返回格式Json: { &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:xxx, #最大页数 &#34;pg&#34;:xx, #当前页数 &#34;casheflag&#34;: xx, #如果是999说明命中缓存 &#34;total&#34;:xx, #总条数 } 注意： 只有post是分页的, 第一页是带标题的， 后面页不带标题 由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求 不要请求大数据量，大量数据请采用limit, offset传参方式进行分页">
<meta name="description" content="加密接口请求方式（推荐） # 下文提到的&quot;秘钥&quot;即管理员在API服务设定中的&quot;token&quot;
Content-Type为application/x-www-form-urlencoded
GET请求 # 接口请求URL
/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=xxx&amp;stamp=xxxxx&amp;param={&#34;xx&#34;:&#34;xxx&#34;,&#34;xx&#34;:&#34;xxxx&#34;} 参数说明
visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) param: 数据集查询参数清单(可选), 格式json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; 接口返回格式Json
{ &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:1, &#34;pg&#34;:1 } 返回值说明
data : 二维数组, 第一行为表头, 样列数据如下 [[&#34;heroname&#34;, &#34;qty&#34;],[&#34;镜&#34;,658],[&#34;猪八戒&#34;,591]] result : success 或 error maxpg/pg : GET请求固定为1不分页 POST请求 # 适用于后台定时同步数据，查询请用GET请求方法
#接口请求格式: url: /echart/dataset_api/ #请求参数data: { &#34;visitor&#34;:&#34;xxx&#34;, &#34;token&#34;:&#34;xxx&#34;, &#34;stamp&#34;:xxxxx, &#34;type&#34;:&#34;xxx&#34;, &#34;pagesize&#34;:&#34;xxx&#34;, &#34;pg&#34;:&#34;xxx&#34;, &#34;param&#34;:&#39;{&#34;xxx&#34;:&#34;xxxx&#34;}&#39; } #data参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) Pagesize: 采用分页, 每页的数据量大小 pg: 返回第几页 param: 数据集查询参数清单(可单), 拼接成json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; #接口返回格式Json: { &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:xxx, #最大页数 &#34;pg&#34;:xx, #当前页数 &#34;casheflag&#34;: xx, #如果是999说明命中缓存 &#34;total&#34;:xx, #总条数 } 注意： 只有post是分页的, 第一页是带标题的， 后面页不带标题 由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求 不要请求大数据量，大量数据请采用limit, offset传参方式进行分页">
<meta name="theme-color" content="#FFFFFF">
<meta name="color-scheme" content="light dark"><meta property="og:title" content="" />
<meta property="og:description" content="SmartChart的数据集功能, 可以非常方便的实现数据对外微服务 # 权限设定 # 帐号访问权限 # 超级管理员可以在首页右上角用户图标的菜单中, 找到&quot;服务配置&quot;打开 比如需要调用API的用户名为test 和 test2，用户名需要是在你的用户设定中存在的,内容如下: { &#34;test&#34;: { &#34;token&#34;: &#34;smartchart&#34; }, &#34;test2&#34;: { &#34;token&#34;: &#34;smartchartxxx&#34;, &#34;host&#34;: [&#34;10.10.10.10&#34;,&#34;10.10.10.23&#34;], &#34;limit&#34;: 60, &#34;log&#34;:1, &#34;cors&#34;: 1 } } 可选设定参考test2 host:API白名单配置，limit:一分钟内可调用次数, log:日志记录方式. cors:永许跨域访问
数据集权限 # 在数据集权限管理中, 将你需要开放的数据集的权限, 设定给对应的用户 请求方式 # 加密接口请求方式（推荐） # 下文提到的&quot;秘钥&quot;即上文设定中的&quot;token&quot;, 注意上文的token非下文提到的token
GET 请求 # #接口请求格式: url= &#39;/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=xxx&amp;stamp=xxxxx&amp;param={&#34;xx&#34;:&#34;xxx&#34;,&#34;xx&#34;:&#34;xxxx&#34;}&#39; # 参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) param: 数据集查询参数清单(可选), 格式json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; # 接口返回格式Json: { &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:1, &#34;pg&#34;:1 } # 返回值说明: data : 二维数组, 第一行为表头, 样列数据如下 [[&#34;heroname&#34;, &#34;qty&#34;],[&#34;镜&#34;,658],[&#34;猪八戒&#34;,591]] result : success 或 error maxpg/pg : GET请求固定为1不分页 POST请求(适用于后台定时同步数据，查询请用GET请求方法) # #接口请求格式: url: /echart/dataset_api/ # 请求参数data: { &#34;visitor&#34;:&#34;xxx&#34;, &#34;token&#34;:&#34;xxx&#34;, &#34;stamp&#34;:xxxxx, &#34;type&#34;:&#34;xxx&#34;, &#34;pagesize&#34;:&#34;xxx&#34;, &#34;pg&#34;:&#34;xxx&#34;, &#34;param&#34;:&#39;{&#34;xxx&#34;:&#34;xxxx&#34;}&#39; } # data参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) Pagesize: 采用分页, 每页的数据量大小 pg: 返回第几页 param: 数据集查询参数清单(可单), 拼接成json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; #接口返回格式Json: { &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:xxx, #最大页数 &#34;pg&#34;:xx, #当前页数 &#34;casheflag&#34;: xx, #如果是999说明命中缓存 &#34;total&#34;:xx, #总条数 } 注意： 只有post是分页的, 第一页是带标题的， 后面页不带标题 由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求 不要请求大数据量，大量数据请采用limit, offset传参方式进行分页" />
<meta property="og:description" content="加密接口请求方式（推荐） # 下文提到的&quot;秘钥&quot;即管理员在API服务设定中的&quot;token&quot;
Content-Type为application/x-www-form-urlencoded
GET请求 # 接口请求URL
/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=xxx&amp;stamp=xxxxx&amp;param={&#34;xx&#34;:&#34;xxx&#34;,&#34;xx&#34;:&#34;xxxx&#34;} 参数说明
visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) param: 数据集查询参数清单(可选), 格式json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; 接口返回格式Json
{ &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:1, &#34;pg&#34;:1 } 返回值说明
data : 二维数组, 第一行为表头, 样列数据如下 [[&#34;heroname&#34;, &#34;qty&#34;],[&#34;镜&#34;,658],[&#34;猪八戒&#34;,591]] result : success 或 error maxpg/pg : GET请求固定为1不分页 POST请求 # 适用于后台定时同步数据，查询请用GET请求方法
#接口请求格式: url: /echart/dataset_api/ #请求参数data: { &#34;visitor&#34;:&#34;xxx&#34;, &#34;token&#34;:&#34;xxx&#34;, &#34;stamp&#34;:xxxxx, &#34;type&#34;:&#34;xxx&#34;, &#34;pagesize&#34;:&#34;xxx&#34;, &#34;pg&#34;:&#34;xxx&#34;, &#34;param&#34;:&#39;{&#34;xxx&#34;:&#34;xxxx&#34;}&#39; } #data参数说明 visitor: 用户名 type: 接口数据集ID stamp: 时间戳(1970年1月1日到生成时间的毫秒数) token: 采用sha1加密, token=SHA1(秘钥 &#43; stamp &#43; visitor &#43; type) Pagesize: 采用分页, 每页的数据量大小 pg: 返回第几页 param: 数据集查询参数清单(可单), 拼接成json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39; #接口返回格式Json: { &#34;data&#34;:[[]], &#34;result&#34;:&#34;success&#34;, &#34;maxpg&#34;:xxx, #最大页数 &#34;pg&#34;:xx, #当前页数 &#34;casheflag&#34;: xx, #如果是999说明命中缓存 &#34;total&#34;:xx, #总条数 } 注意： 只有post是分页的, 第一页是带标题的， 后面页不带标题 由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求 不要请求大数据量，大量数据请采用limit, offset传参方式进行分页" />
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@ -21,7 +31,7 @@ GET 请求 # #接口请求格式: url= &#39;/echart/dataset_api/?visitor=xxx&amp
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<li><a href="#权限设定">权限设定</a></li>
<li><a href="#请求方式">请求方式</a></li>
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@ -1642,88 +1583,47 @@ https://github.com/alex-shpak/hugo-book
<article class="markdown"><h3 id="smartchart的数据集功能-可以非常方便的实现数据对外微服务">
SmartChart的数据集功能, 可以非常方便的实现数据对外微服务
<a class="anchor" href="#smartchart%e7%9a%84%e6%95%b0%e6%8d%ae%e9%9b%86%e5%8a%9f%e8%83%bd-%e5%8f%af%e4%bb%a5%e9%9d%9e%e5%b8%b8%e6%96%b9%e4%be%bf%e7%9a%84%e5%ae%9e%e7%8e%b0%e6%95%b0%e6%8d%ae%e5%af%b9%e5%a4%96%e5%be%ae%e6%9c%8d%e5%8a%a1">#</a>
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<h3 id="权限设定">
权限设定
<a class="anchor" href="#%e6%9d%83%e9%99%90%e8%ae%be%e5%ae%9a">#</a>
</h3>
<h5 id="帐号访问权限">
帐号访问权限
<a class="anchor" href="#%e5%b8%90%e5%8f%b7%e8%ae%bf%e9%97%ae%e6%9d%83%e9%99%90">#</a>
</h5>
<ul>
<li>超级管理员可以在首页右上角用户图标的菜单中, 找到&quot;服务配置&quot;打开</li>
<li>比如需要调用API的用户名为test 和 test2，用户名需要是在你的用户设定中存在的,内容如下:</li>
</ul>
<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;test&#34;</span>: {
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;token&#34;</span>: <span style="color:#e6db74">&#34;smartchart&#34;</span>
</span></span><span style="display:flex;"><span> },
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;test2&#34;</span>: {
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;token&#34;</span>: <span style="color:#e6db74">&#34;smartchartxxx&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;host&#34;</span>: [<span style="color:#e6db74">&#34;10.10.10.10&#34;</span>,<span style="color:#e6db74">&#34;10.10.10.23&#34;</span>],
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;limit&#34;</span>: <span style="color:#ae81ff">60</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;log&#34;</span>:<span style="color:#ae81ff">1</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;cors&#34;</span>: <span style="color:#ae81ff">1</span>
</span></span><span style="display:flex;"><span> }
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div><blockquote>
<p>可选设定参考test2
host:API白名单配置，limit:一分钟内可调用次数, log:日志记录方式.
cors:永许跨域访问</p>
</blockquote>
<h4 id="数据集权限">
数据集权限
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e9%9b%86%e6%9d%83%e9%99%90">#</a>
</h4>
<ul>
<li>在数据集权限管理中, 将你需要开放的数据集的权限, 设定给对应的用户</li>
</ul>
<h3 id="请求方式">
请求方式
<a class="anchor" href="#%e8%af%b7%e6%b1%82%e6%96%b9%e5%bc%8f">#</a>
</h3>
<h4 id="加密接口请求方式推荐">
<article class="markdown"><h3 id="加密接口请求方式推荐">
加密接口请求方式（推荐）
<a class="anchor" href="#%e5%8a%a0%e5%af%86%e6%8e%a5%e5%8f%a3%e8%af%b7%e6%b1%82%e6%96%b9%e5%bc%8f%e6%8e%a8%e8%8d%90">#</a>
</h4>
</h3>
<blockquote>
<p>下文提到的&quot;秘钥&quot;即上文设定中的&quot;token&quot;, 注意上文的token非下文提到的token</p>
<p>下文提到的&quot;秘钥&quot;即管理员在API服务设定中的&quot;token&quot;</p>
<p>Content-Type为application/x-www-form-urlencoded</p>
</blockquote>
<h4 id="get-请求">
GET 请求
<a class="anchor" href="#get-%e8%af%b7%e6%b1%82">#</a>
<h4 id="get请求">
GET请求
<a class="anchor" href="#get%e8%af%b7%e6%b1%82">#</a>
</h4>
<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:#75715e">#接口请求格式: </span>
</span></span><span style="display:flex;"><span>url<span style="color:#f92672">=</span> <span style="color:#e6db74">&#39;/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=xxx&amp;stamp=xxxxx&amp;param={&#34;xx&#34;:&#34;xxx&#34;,&#34;xx&#34;:&#34;xxxx&#34;}&#39;</span>
</span></span><span style="display:flex;"><span><span style="color:#75715e"># 参数说明</span>
</span></span><span style="display:flex;"><span>visitor: 用户名
</span></span><span style="display:flex;"><span>type: 接口数据集ID
</span></span><span style="display:flex;"><span>stamp: 时间戳(<span style="color:#ae81ff">1970</span>年1月1日到生成时间的毫秒数)
</span></span><span style="display:flex;"><span>token: 采用sha1加密, token<span style="color:#f92672">=</span>SHA1(秘钥 <span style="color:#f92672">+</span> stamp <span style="color:#f92672">+</span> visitor <span style="color:#f92672">+</span> type)
</span></span><span style="display:flex;"><span>param: 数据集查询参数清单(可选), 格式json字符串, 如: <span style="color:#e6db74">&#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39;</span>
</span></span><span style="display:flex;"><span><span style="color:#75715e"># 接口返回格式Json:</span>
</span></span><span style="display:flex;"><span>{
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;data&#34;</span>:[[]],
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;result&#34;</span>:<span style="color:#e6db74">&#34;success&#34;</span>,
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;maxpg&#34;</span>:<span style="color:#ae81ff">1</span>,
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;pg&#34;</span>:<span style="color:#ae81ff">1</span>
<p>接口请求URL</p>
<pre tabindex="0"><code>/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=xxx&amp;stamp=xxxxx&amp;param={&#34;xx&#34;:&#34;xxx&#34;,&#34;xx&#34;:&#34;xxxx&#34;}
</code></pre><p>参数说明</p>
<pre tabindex="0"><code>visitor: 用户名
type: 接口数据集ID
stamp: 时间戳(1970年1月1日到生成时间的毫秒数)
token: 采用sha1加密, token=SHA1(秘钥 + stamp + visitor + type)
param: 数据集查询参数清单(可选), 格式json字符串, 如: &#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39;
</code></pre><p>接口返回格式Json</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;data&#34;</span>:[[]],
</span></span><span style="display:flex;"><span><span style="color:#f92672">&#34;result&#34;</span>:<span style="color:#e6db74">&#34;success&#34;</span>,
</span></span><span style="display:flex;"><span><span style="color:#f92672">&#34;maxpg&#34;</span>:<span style="color:#ae81ff">1</span>,
</span></span><span style="display:flex;"><span><span style="color:#f92672">&#34;pg&#34;</span>:<span style="color:#ae81ff">1</span>
</span></span><span style="display:flex;"><span>}
</span></span><span style="display:flex;"><span><span style="color:#75715e"># 返回值说明:</span>
</span></span><span style="display:flex;"><span>data : 二维数组, 第一行为表头, 样列数据如下
</span></span><span style="display:flex;"><span>[[<span style="color:#e6db74">&#34;heroname&#34;</span>, <span style="color:#e6db74">&#34;qty&#34;</span>],[<span style="color:#e6db74">&#34;镜&#34;</span>,<span style="color:#ae81ff">658</span>],[<span style="color:#e6db74">&#34;猪八戒&#34;</span>,<span style="color:#ae81ff">591</span>]]
</span></span><span style="display:flex;"><span>result : success 或 error
</span></span><span style="display:flex;"><span>maxpg<span style="color:#f92672">/</span>pg : GET请求固定为1不分页
</span></span></code></pre></div><h4 id="post请求适用于后台定时同步数据查询请用get请求方法">
POST请求(适用于后台定时同步数据，查询请用GET请求方法)
<a class="anchor" href="#post%e8%af%b7%e6%b1%82%e9%80%82%e7%94%a8%e4%ba%8e%e5%90%8e%e5%8f%b0%e5%ae%9a%e6%97%b6%e5%90%8c%e6%ad%a5%e6%95%b0%e6%8d%ae%e6%9f%a5%e8%af%a2%e8%af%b7%e7%94%a8get%e8%af%b7%e6%b1%82%e6%96%b9%e6%b3%95">#</a>
</span></span></code></pre></div><p>返回值说明</p>
<pre tabindex="0"><code>data : 二维数组, 第一行为表头, 样列数据如下
[[&#34;heroname&#34;, &#34;qty&#34;],[&#34;镜&#34;,658],[&#34;猪八戒&#34;,591]]
result : success 或 error
maxpg/pg : GET请求固定为1不分页
</code></pre><hr>
<h4 id="post请求">
POST请求
<a class="anchor" href="#post%e8%af%b7%e6%b1%82">#</a>
</h4>
<p>适用于后台定时同步数据，查询请用GET请求方法</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:#75715e">#接口请求格式:</span>
</span></span><span style="display:flex;"><span>url: <span style="color:#f92672">/</span>echart<span style="color:#f92672">/</span>dataset_api<span style="color:#f92672">/</span>
</span></span><span style="display:flex;"><span><span style="color:#75715e"># 请求参数data: </span>
</span></span><span style="display:flex;"><span><span style="color:#75715e">#请求参数data: </span>
</span></span><span style="display:flex;"><span>{
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;visitor&#34;</span>:<span style="color:#e6db74">&#34;xxx&#34;</span>,
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;token&#34;</span>:<span style="color:#e6db74">&#34;xxx&#34;</span>,
@ -1733,7 +1633,7 @@ cors:永许跨域访问</p>
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;pg&#34;</span>:<span style="color:#e6db74">&#34;xxx&#34;</span>,
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;param&#34;</span>:<span style="color:#e6db74">&#39;{&#34;xxx&#34;:&#34;xxxx&#34;}&#39;</span>
</span></span><span style="display:flex;"><span>}
</span></span><span style="display:flex;"><span><span style="color:#75715e"># data参数说明</span>
</span></span><span style="display:flex;"><span><span style="color:#75715e">#data参数说明</span>
</span></span><span style="display:flex;"><span>visitor: 用户名
</span></span><span style="display:flex;"><span>type: 接口数据集ID
</span></span><span style="display:flex;"><span>stamp: 时间戳(<span style="color:#ae81ff">1970</span>年1月1日到生成时间的毫秒数)
@ -1743,7 +1643,6 @@ cors:永许跨域访问</p>
</span></span><span style="display:flex;"><span>param: 数据集查询参数清单(可单), 拼接成json字符串, 如:
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#39;{&#34;参数A&#34;:&#34;xxxx&#34;, &#34;参数B&#34;:&#34;xxxx&#34;}&#39;</span>
</span></span><span style="display:flex;"><span>
</span></span><span style="display:flex;"><span>
</span></span><span style="display:flex;"><span><span style="color:#75715e">#接口返回格式Json: </span>
</span></span><span style="display:flex;"><span>{
</span></span><span style="display:flex;"><span><span style="color:#e6db74">&#34;data&#34;</span>:[[]],
@ -1759,10 +1658,12 @@ cors:永许跨域访问</p>
由于post方式会使用缓存进行分页,如命中缓存传参不会生效，小数据量请使用get方式请求
不要请求大数据量，大量数据请采用limit, offset传参方式进行分页</p>
</blockquote>
<h4 id="不加密请求方式简单但不安全">
<hr>
<hr>
<h3 id="不加密请求方式简单但不安全">
不加密请求方式(简单但不安全）
<a class="anchor" href="#%e4%b8%8d%e5%8a%a0%e5%af%86%e8%af%b7%e6%b1%82%e6%96%b9%e5%bc%8f%e7%ae%80%e5%8d%95%e4%bd%86%e4%b8%8d%e5%ae%89%e5%85%a8">#</a>
</h4>
</h3>
<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>GET 请求
</span></span><span style="display:flex;"><span><span style="color:#75715e">#接口请求格式: </span>
</span></span><span style="display:flex;"><span>url<span style="color:#f92672">=</span> <span style="color:#e6db74">&#39;/echart/dataset_api/?visitor=xxx&amp;token=xxx&amp;type=数据集名或id&#39;</span>
@ -1851,9 +1752,8 @@ cors:永许跨域访问</p>
<ul>
<li>
<ul>
<li><a href="#smartchart的数据集功能-可以非常方便的实现数据对外微服务">SmartChart的数据集功能, 可以非常方便的实现数据对外微服务</a></li>
<li><a href="#权限设定">权限设定</a></li>
<li><a href="#请求方式">请求方式</a></li>
<li><a href="#加密接口请求方式推荐">加密接口请求方式（推荐）</a></li>
<li><a href="#不加密请求方式简单但不安全">不加密请求方式(简单但不安全）</a></li>
</ul>
</li>
</ul>

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