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https://github.com/szyhf/go-excel

A simple and light excel file reader to read a standard excel as a table faster | 一个轻量级的Excel数据读取库,用一种更`关系数据库`的方式解析Excel。
https://github.com/szyhf/go-excel

go golang reader xlsx

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A simple and light excel file reader to read a standard excel as a table faster | 一个轻量级的Excel数据读取库,用一种更`关系数据库`的方式解析Excel。

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README

        

# Intro | 简介

[![Go Report Card](https://goreportcard.com/badge/github.com/szyhf/go-excel)](https://goreportcard.com/report/github.com/szyhf/go-excel)
![cover.run go](https://cover.run/go/github.com/szyhf/go-excel.svg?tag=golang-1.10)
[![GoDoc](https://godoc.org/github.com/szyhf/go-excel?status.png)](https://godoc.org/github.com/szyhf/go-excel)

Expect to create a reader library to read relate-db-like excel easily.
Just like read a config.

> This library can read all xlsx file correctly from our project now.

```shell
go get github.com/szyhf/go-excel
```

## Example | 用例

Here is a simple example.

Assume you have a xlsx file like below:

| ID | NameOf | Age | Slice | UnmarshalString |
| --- | ------ | --- | ---------- | --------------- |
| 1 | Andy | 1 | 1\|2 | {"Foo":"Andy"} |
| 2 | Leo | 2 | 2\|3\|4 | {"Foo":"Leo"} |
| 3 | Ben | 3 | 3\|4\|5\|6 | {"Foo":"Ben"} |
| 4 | Ming | 4 | 1 | {"Foo":"Ming"} |

+ the first row is the title row.
+ other row is the data row.

> All examples list in [https://godoc.org/github.com/szyhf/go-excel#pkg-examples](https://godoc.org/github.com/szyhf/go-excel#pkg-examples).

```go
// defined a struct
type Standard struct {
// use field name as default column name
ID int
// column means to map the column name
Name string `xlsx:"column(NameOf)"`
// you can map a column into more than one field
NamePtr *string `xlsx:"column(NameOf)"`
// omit `column` if only want to map to column name, it's equal to `column(AgeOf)`
Age int `xlsx:"AgeOf"`
// split means to split the string into slice by the `|`
Slice []int `xlsx:"split(|)"`
// *Temp implement the `encoding.BinaryUnmarshaler`
Temp *Temp `xlsx:"column(UnmarshalString)"`
// support default encoding of json
TempEncoding *TempEncoding `xlsx:"column(UnmarshalString);encoding(json)"`
// use '-' to ignore.
Ignored string `xlsx:"-"`
}

// func (this Standard) GetXLSXSheetName() string {
// return "Some other sheet name if need"
// }

type Temp struct {
Foo string
}

// self define a unmarshal interface to unmarshal string.
func (this *Temp) UnmarshalBinary(d []byte) error {
return json.Unmarshal(d, this)
}

func simpleUsage() {
// will assume the sheet name as "Standard" from the struct name.
var stdList []Standard
err := excel.UnmarshalXLSX("./testdata/simple.xlsx", &stdList)
if err != nil {
panic(err)
}
}

func defaultUsage(){
conn := excel.NewConnecter()
err := conn.Open("./testdata/simple.xlsx")
if err != nil {
panic(err)
}
defer conn.Close()

// Generate an new reader of a sheet
// sheetNamer: if sheetNamer is string, will use sheet as sheet name.
// if sheetNamer is int, will i'th sheet in the workbook, be careful the hidden sheet is counted. i ∈ [1,+inf]
// if sheetNamer is a object implements `GetXLSXSheetName()string`, the return value will be used.
// otherwise, will use sheetNamer as struct and reflect for it's name.
// if sheetNamer is a slice, the type of element will be used to infer like before.
rd, err := conn.NewReader(stdSheetName)
if err != nil {
panic(err)
}
defer rd.Close()

for rd.Next() {
var s Standard
// Read a row into a struct.
err:=rd.Read(&s)
if err!=nil{
panic(err)
}
fmt.Printf("%+v",s)
}

// Read all is also supported.
// var stdList []Standard
// err = rd.ReadAll(&stdList)
// if err != nil {
// panic(err)
// return
// }
// fmt.Printf("%+v",stdList)

// map with string key is support, too.
// if value is not string
// will try to unmarshal to target type
// but will skip if unmarshal failed.

// var stdSliceList [][]string
// err = rd.ReadAll(&stdSliceList)
// if err != nil {
// panic(err)
// return
// }
// fmt.Printf("%+v",stdSliceList)

// var stdMapList []map[string]string
// err = rd.ReadAll(&stdMapList)
// if err != nil {
// panic(err)
// return
// }
// fmt.Printf("%+v",stdMapList)

// Using binary instead of file.
// xlsxData, err := ioutil.ReadFile(filePath)
// if err != nil {
// log.Println(err)
// return
// }

// conn := excel.NewConnecter()
// err = conn.OpenBinary(xlsxData)
}
```

> See the `simple.xlsx`.`Standard` in `testdata` and code in `./standard_test.go` and `./standard_example_test.go` for details.

> While read into a `[]string`, row of title can have duplicated titles, otherwise `ErrDuplicatedTitles` will be return.

## Advance | 进阶用法

The advance usage can make more options.

### Config | 配置

Using a config as "excel.Config":

```go
type Config struct {
// sheet: if sheet is string, will use sheet as sheet name.
// if sheet is a object implements `GetXLSXSheetName()string`, the return value will be used.
// otherwise, will use sheet as struct and reflect for it's name.
// if sheet is a slice, the type of element will be used to infer like before.
Sheet interface{}
// Use the index row as title, every row before title-row will be ignore, default is 0.
TitleRowIndex int
// Skip n row after title, default is 0 (not skip), empty row is not counted.
Skip int
// Auto prefix to sheet name.
Prefix string
// Auto suffix to sheet name.
Suffix string
}
```

Tips:

+ Empty row will be skipped.
+ Column larger than len(TitleRow) will be skipped.
+ Only empty cell can fill with default value, if a cell can not parse into a field it will return an error.
+ Default value can be unmarshal by `encoding.BinaryUnmarshaler`, too.
+ If no title row privoded, the default column name in exce like `'A', 'B', 'C', 'D' ......, 'XFC', 'XFD'` can be used as column name by 26-number-system.

For more details can see the code in `./test/advance_test.go` and file in `simple.xlsx`.`Advance.suffx` sheet.

## XLSX Tag | 标签使用

### column

Map to field name in title row, by default will use the field name.

### default

Set default value when no value is filled in excel cell, by default is 0 or "".

### split

Split a string and convert them to a slice, it won't work if not set.

### nil

Will not skip scan value in the cell equals to this 'nil value'

### req

Will return error if clomun title not exist in excel.

### encoding

Will decode the string value into the field can be unmarshal by the encoding type, currently, only `json` is supported, will use `encoding/json` package.

## XLSX Field Config | 字段的解析配置

Sometimes it’s a bit cumbersome to deal with escape characters (exp. #6), so implement the interface of `GetXLSXFieldConfigs() map[string]FieldConfig` will take a high priority than `tag` to provide the field config, more info to see the test file.

## RoadMap | 开发计划

+ Read xlsx file and got the expect xml. √
+ Prepare the shared string xml. √
+ Get the correct sheetX.xml. √
+ Read a row of a sheet. √
+ Read a cell of a row, fix the empty cell. √
+ Fill string cell with value of shared string xml. √
+ Can set the column name row, default is the first row. √
+ Read a row into a slice. √
+ Read a row to a struct by column name. √
+ Read a row into a map with string key. √
+ Read a row into a map by primary key.

## Thinking | 随想

在复杂的系统中(例如游戏)

有时候为了便于非专业人员设置一些配置

会使用Excel作为一种轻量级的关系数据库或者配置文件

毕竟对于很多非开发人员来说

配个Excel要比写json或者yaml什么简单得多

这种场景下

读取特定格式(符合关系数据库特点的表格)的数据会比各种花式写入Excel的功能更重要

毕竟从编辑上来说微软提供的Excel本身功能就非常强大了

而现在我找到的Excel库的功能都过于强大了

用起来有点浪费

于是写了这个简化库

这个库的工作参考了[tealeg/xlsx](https://github.com/tealeg/xlsx)的部分实现和读取逻辑。

感谢[tealeg](https://github.com/tealeg)