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You can configure which fields to import and templates will be generated automatically.","maintainers":[{"email":"chenlinxh@gmail.com","name":"chenos"},{"email":"2013xile@gmail.com","name":"2013xile"},{"email":"lomo_hao@163.com","name":"jiannlu"}],"readme":"# import\n\nEnglish | [中文](./README.zh-CN.md)\n\nExcel 数据导入插件。\n\n## 安装激活\n\n内置插件无需手动安装激活。\n\n## 导入说明\n\n### 数字类型字段\n\n支持数字和百分比，`N/A` 或 `-` 的文案会被过滤掉\n\n| 数字1 | 百分比 | 数字2 | 数字3 |\n| -- | -- | -- | -- | \n| 123 | 25% | N/A | - |\n\n转 JSON 之后为\n\n```ts\n{\n  \"数字1\": 123,\n  \"百分比\": 0.25,\n  \"数字2\": null,\n  \"数字3\": null,\n}\n```\n\n### 布尔类型字段\n\n输入文案支持（英文不区分大小写）：\n\n- `Yes` `Y` `True` `1` `是` \n- `No` `N`  `False` `0` `否` \n\n| 字段1 | 字段2 | 字段3 | 字段4 | 字段4 |\n| -- | -- |  -- |  -- |  -- | \n| 否 | 是 | Y | true | 0 |\n\n转 JSON 之后为\n\n```ts\n{\n  \"字段1\": false,\n  \"字段2\": true,\n  \"字段3\": true,\n  \"字段4\": true,\n  \"字段5\": false,\n}\n```\n\n### 日期类型字段\n\n| DateOnly | Local(+08:00) | GMT |\n| -- | -- |  -- |\n| 2023-01-18 22:22:22 | 2023-01-18 22:22:22  | 2023-01-18 22:22:22 |\n\n转 JSON 之后为\n\n```ts\n{\n  \"DateOnly\": \"2023-01-18T00:00:00.000Z\",\n  \"Local(+08:00)\": \"2023-01-18T14:22:22.000Z\",\n  \"GMT\": \"2023-01-18T22:22:22.000Z\",\n}\n```\n\n### 选择类型字段\n\n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\n\n如字段 `优先级` 的可选项包括：\n\n| 选项值 | 选项标签 |\n| -- | -- |\n| low | 低 |\n| medium | 中 |\n| high | 低 |\n\n选项值和选项标签都可作为导入文案\n\n| 优先级 |\n| -- |\n| 高 |\n| low |\n\n转 JSON 之后为\n\n```ts\n[\n  { \"优先级\": \"high\" },\n  { \"优先级\": \"low\" },\n]\n```\n\n### 中国行政区字段\n\n| 地区1 | 地区2 |\n| -- | -- |\n| 北京市/市辖区 | 天津市/市辖区 |\n\n转 JSON 之后为\n\n```ts\n{\n  \"地区1\": [\"11\",\"1101\"],\n  \"地区2\": [\"12\",\"1201\"]\n}\n```\n\n### 附件字段\n\n| 附件 | \n| --|\n| https://www.nocobase.com/images/logo.png |\n\n转 JSON 之后为\n\n```ts\n{\n  \"附件\": [\n    {\n      \"filename\": \"logo.png\",\n      \"title\": \"logo.png\",\n      \"extname\": \".png\",\n      \"url\": \"https://www.nocobase.com/images/logo.png\"\n    }\n  ]\n}\n```\n\n### 关系类型字段\n\n多条数据以逗号（`,` `，`）或顿号（`、`）区分\n\n| 部门/名称 | 分类/标题 |\n| -- | -- |\n| 开发组 | 分类1、分类2 |\n\n转 JSON 之后为\n\n```ts\n{\n  \"部门\": [1], // 1 为部门名称为「开发组」的记录 ID\n  \"分类\": [1,2], // 1,2 为分类标题为「分类1」和「分类2」的记录 ID\n}\n```\n\n### JSON 类型字段\n\n| JSON1 |\n| -- |\n| {\"key\":\"value\"} |\n\n转 JSON 之后为\n\n```ts\n{\n  \"JSON\": {\"key\":\"value\"}\n}\n```\n\n### 地图几何图形类型\n\n| Point | Line | Polygon | Circle |\n| -- | -- | -- | -- |\n| 1,2 | (1,2),(3,4) | (1,2),(3,4),(1,2) | 1,2,3 | \n\n转 JSON 之后为\n\n```ts\n{\n  \"Point\": [1,2],\n  \"Line\": [[1,2], [3,4]],\n  \"Polygon\": [[1,2], [3,4], [1,2]],\n  \"Circle\": [1,2,3]\n}\n```\n\n## 自定义导入格式\n\n通过 `db.registerFieldValueParsers()` 方法注册自定义的 `ValueParser`，如：\n\n```ts\nimport { BaseValueParser } from '@nocobase/database';\n\nclass PointValueParser extends BaseValueParser {\n  async setValue(value) {\n    if (Array.isArray(value)) {\n      this.value = value;\n    } else if (typeof value === 'string') {\n      this.value = value.split(',');\n    } else {\n      this.errors.push('Value invalid');\n    }\n  }\n}\n\nconst db = new Database();\n\n// type=point 的字段导入时，将通过 PointValueParser 解析数据\ndb.registerFieldValueParsers({\n  point: PointValueParser,\n});\n```\n\n导入示例\n\n| Point | \n| --|\n| 1,2 |\n\n转 JSON 之后为\n\n```ts\n{\n  \"Point\": [1,2]\n}\n```\n","readmeFilename":"README.md"}