223 lines
3.5 KiB
Markdown
223 lines
3.5 KiB
Markdown
# import
|
||
|
||
[English](./README.md) | 中文
|
||
|
||
Excel 数据导入插件。
|
||
|
||
## 安装激活
|
||
|
||
内置插件无需手动安装激活。
|
||
|
||
## 导入说明
|
||
|
||
### 数字类型字段
|
||
|
||
支持数字和百分比,`N/A` 或 `-` 的文案会被过滤掉
|
||
|
||
| 数字1 | 百分比 | 数字2 | 数字3 |
|
||
| -- | -- | -- | -- |
|
||
| 123 | 25% | N/A | - |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"数字1": 123,
|
||
"百分比": 0.25,
|
||
"数字2": null,
|
||
"数字3": null,
|
||
}
|
||
```
|
||
|
||
### 布尔类型字段
|
||
|
||
输入文案支持(英文不区分大小写):
|
||
|
||
- `Yes` `Y` `True` `1` `是`
|
||
- `No` `N` `False` `0` `否`
|
||
|
||
| 字段1 | 字段2 | 字段3 | 字段4 | 字段4 |
|
||
| -- | -- | -- | -- | -- |
|
||
| 否 | 是 | Y | true | 0 |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"字段1": false,
|
||
"字段2": true,
|
||
"字段3": true,
|
||
"字段4": true,
|
||
"字段5": false,
|
||
}
|
||
```
|
||
|
||
### 日期类型字段
|
||
|
||
| DateOnly | Local(+08:00) | GMT |
|
||
| -- | -- | -- |
|
||
| 2023-01-18 22:22:22 | 2023-01-18 22:22:22 | 2023-01-18 22:22:22 |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"DateOnly": "2023-01-18T00:00:00.000Z",
|
||
"Local(+08:00)": "2023-01-18T14:22:22.000Z",
|
||
"GMT": "2023-01-18T22:22:22.000Z",
|
||
}
|
||
```
|
||
|
||
### 选择类型字段
|
||
|
||
选项值和选项标签都可作为导入文案,多个选项之间以以逗号(`,` `,`)或顿号(`、`)区分
|
||
|
||
如字段 `优先级` 的可选项包括:
|
||
|
||
| 选项值 | 选项标签 |
|
||
| -- | -- |
|
||
| low | 低 |
|
||
| medium | 中 |
|
||
| high | 低 |
|
||
|
||
选项值和选项标签都可作为导入文案
|
||
|
||
| 优先级 |
|
||
| -- |
|
||
| 高 |
|
||
| low |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
[
|
||
{ "优先级": "high" },
|
||
{ "优先级": "low" },
|
||
]
|
||
```
|
||
|
||
### 中国行政区字段
|
||
|
||
| 地区1 | 地区2 |
|
||
| -- | -- |
|
||
| 北京市/市辖区 | 天津市/市辖区 |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"地区1": ["11","1101"],
|
||
"地区2": ["12","1201"]
|
||
}
|
||
```
|
||
|
||
### 附件字段
|
||
|
||
| 附件 |
|
||
| --|
|
||
| https://www.tachybase.com/images/logo.png |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"附件": [
|
||
{
|
||
"filename": "logo.png",
|
||
"title": "logo.png",
|
||
"extname": ".png",
|
||
"url": "https://www.tachybase.com/images/logo.png"
|
||
}
|
||
]
|
||
}
|
||
```
|
||
|
||
### 关系类型字段
|
||
|
||
多条数据以逗号(`,` `,`)或顿号(`、`)区分
|
||
|
||
| 部门/名称 | 分类/标题 |
|
||
| -- | -- |
|
||
| 开发组 | 分类1、分类2 |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"部门": [1], // 1 为部门名称为「开发组」的记录 ID
|
||
"分类": [1,2], // 1,2 为分类标题为「分类1」和「分类2」的记录 ID
|
||
}
|
||
```
|
||
|
||
### JSON 类型字段
|
||
|
||
| JSON1 |
|
||
| -- |
|
||
| {"key":"value"} |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"JSON": {"key":"value"}
|
||
}
|
||
```
|
||
|
||
### 地图几何图形类型
|
||
|
||
| Point | Line | Polygon | Circle |
|
||
| -- | -- | -- | -- |
|
||
| 1,2 | (1,2),(3,4) | (1,2),(3,4),(1,2) | 1,2,3 |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"Point": [1,2],
|
||
"Line": [[1,2], [3,4]],
|
||
"Polygon": [[1,2], [3,4], [1,2]],
|
||
"Circle": [1,2,3]
|
||
}
|
||
```
|
||
|
||
## 自定义导入格式
|
||
|
||
通过 `db.registerFieldValueParsers()` 方法注册自定义的 `ValueParser`,如:
|
||
|
||
```ts
|
||
import { BaseValueParser } from '@tachybase/database';
|
||
|
||
class PointValueParser extends BaseValueParser {
|
||
async setValue(value) {
|
||
if (Array.isArray(value)) {
|
||
this.value = value;
|
||
} else if (typeof value === 'string') {
|
||
this.value = value.split(',');
|
||
} else {
|
||
this.errors.push('Value invalid');
|
||
}
|
||
}
|
||
}
|
||
|
||
const db = new Database();
|
||
|
||
// type=point 的字段导入时,将通过 PointValueParser 解析数据
|
||
db.registerFieldValueParsers({
|
||
point: PointValueParser,
|
||
});
|
||
```
|
||
|
||
导入示例
|
||
|
||
| Point |
|
||
| --|
|
||
| 1,2 |
|
||
|
||
转 JSON 之后为
|
||
|
||
```ts
|
||
{
|
||
"Point": [1,2]
|
||
}
|
||
```
|