Decoding CSV

Index

First example
Preprocessor and Validator
When StopOnError is false
Optional and Unrecognized columns
Allow unordered header columns
Fixed inline columns
Dynamic inline columns
Custom unmarshaler
Custom column delimiter
Decode one-by-one
Header localization
Render error as human-readable format

Content

First example

    data := []byte(`
name,birthdate,address
jerry,1990-01-01T15:00:00Z,
tom,1989-11-11T00:00:00Z,new york`)
    
    type Student struct {
        Name      string    `csv:"name"`
        Birthdate time.Time `csv:"birthdate"`
        Address   string    `csv:"address,omitempty"`
    }
    
    var students []Student
    result, err := csvlib.Unmarshal(data, &students)
    if err != nil {
        fmt.Println("error:", err)
    }
    
    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }
    
    // Output:
    // {totalRow:3 unrecognizedColumns:[] missingOptionalColumns:[]}
    // {Name:jerry Birthdate:1990-01-01 15:00:00 +0000 UTC Address:}
    // {Name:tom Birthdate:1989-11-11 00:00:00 +0000 UTC Address:new york}

Preprocessor and Validator

Preprocessor functions will be called before cell values are decoded and validator functions will be called after that.

Playground

    data := []byte(`
name,age,address
jerry ,20,
tom ,26,new york`)

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address,omitempty"`
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.ConfigureColumn("name", func(cfg *csvlib.DecodeColumnConfig) {
            cfg.TrimSpace = true // you can use csvlib.ProcessorTrim as an alternative
            cfg.PreprocessorFuncs = []csvlib.ProcessorFunc{csvlib.ProcessorUpper}
        })

        cfg.ConfigureColumn("age", func(cfg *csvlib.DecodeColumnConfig) {
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorRange(20, 30)}
        })
    })
    if err != nil {
        fmt.Println("error:", err)
    }

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }

    // Success: when use ValidatorRange(20, 30) as above
    // {Name:JERRY Age:20 Address:}
    // {Name:TOM Age:26 Address:new york}

    // Failure: when use ValidatorRange(10, 20) instead
    // error: ErrValidation: Range

When StopOnError is false

When set StopOnError = false, the decoding will continue to process the data even when errors occur. You can handle all errors of the process at once.

Playground

    data := []byte(`
name,age,address
jerry,30,
tom,26,new york`)

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address,omitempty"`
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.StopOnError = false
        cfg.ConfigureColumn("age", func(cfg *csvlib.DecodeColumnConfig) {
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorRange(10, 20)}
        })
    })
    if err != nil {
        csvErr := err.(*csvlib.Errors)
        fmt.Println("error 1:", csvErr.Unwrap()[0])
        fmt.Println("error 2:", csvErr.Unwrap()[1])
    }

    // Output:
    // error 1: ErrValidation: Range
    // error 2: ErrValidation: Range

Optional and Unrecognized columns

Optional column is a column which is defined in the struct tag but not exist in the input data
Unrecognized column is a column which exists in the input data but is not defined in the struct tag

Playground

    data := []byte(`
name,age,mark
jerry,20,10
tom,26,9`)

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address,optional"` // without `optional` tag, it will fail to decode
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.AllowUnrecognizedColumns = true // without this config, it will fail to decode
    })
    if err != nil {
        fmt.Println("error:", err)
    }

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }

    // Output:
    // {totalRow:3 unrecognizedColumns:[mark] missingOptionalColumns:[address]}
    // {Name:jerry Age:20 Address:}
    // {Name:tom Age:26 Address:}

Allow unordered header columns

By default, the header order in the input data must match the order defined in the struct tag.

Playground

    // `address` appears before `age`
    data := []byte(`
name,address,age
jerry,tokyo,10
tom,new york,9`)

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address,optional"`
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.RequireColumnOrder = false // without this config, it will fail to decode
    })
    if err != nil {
        fmt.Println("error:", err)
    }

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }
    
    // Output:
    // {Name:jerry Age:10 Address:tokyo}
    // {Name:tom Age:9 Address:new york}

Fixed inline columns

Fixed inline columns are represented by an inner struct. prefix can be set for inline columns.

Playground

    data := []byte(`
name,age,mark_math,mark_chemistry,mark_physics
jerry,20,9,8,7
tom,19,7,8,9`)

    type Marks struct {
        Math      int `csv:"math"`
        Chemistry int `csv:"chemistry"`
        Physics   int `csv:"physics"`
    }
    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address,optional"`
        Marks   Marks  `csv:"marks,inline,prefix=mark_"`
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.ConfigureColumn("mark_math", func(cfg *csvlib.DecodeColumnConfig) { // `math` field will be decoded with these configurations
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorRange(0, 10)}
        })
        cfg.ConfigureColumn("marks", func(cfg *csvlib.DecodeColumnConfig) { // `chemistry` and `physics` fields will be decoded with these configurations
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorRange(1, 10)}
        })
    })
    if err != nil {
        fmt.Println("error:", err)
    }

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }
    
    // Output:
    // {Name:jerry Age:20 Address: Marks:{Math:9 Chemistry:8 Physics:7}}
    // {Name:tom Age:19 Address: Marks:{Math:7 Chemistry:8 Physics:9}}

Dynamic inline columns

Dynamic inline columns are represented by an inner struct with variable number of columns. prefix can also be set for them.

Playground

    data := []byte(`
name,age,mark_math,mark_chemistry,mark_physics
jerry,20,9,8,7
tom,19,7,8,9`)

    type Student struct {
        Name    string                   `csv:"name"`
        Age     int                      `csv:"age"`
        Address string                   `csv:"address,optional"`
        Marks   csvlib.InlineColumn[int] `csv:"marks,inline,prefix=mark_"`
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.ConfigureColumn("marks", func(cfg *csvlib.DecodeColumnConfig) { // all inline columns are validated by this
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorRange(1, 10)}
        })
    })
    if err != nil {
        fmt.Println("error:", err)
    }

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }
    
    // Output:
    // {Name:jerry Age:20 Address: Marks:{Header:[mark_math mark_chemistry mark_physics] Values:[9 8 7]}}
    // {Name:tom Age:19 Address: Marks:{Header:[mark_math mark_chemistry mark_physics] Values:[7 8 9]}}

Custom unmarshaler

Any user custom type can be decoded by implementing either encoding.TextUnmarshaler or csvlib.CSVUnmarshaler or both. csvlib.CSVUnmarshaler has higher priority.

Playground

type BirthDate time.Time

func (d *BirthDate) UnmarshalCSV(data []byte) error {
    t, err := time.Parse("2006-1-2", string(data)) // RFC3339 format
    if err != nil {
        return err
    }
    *d = BirthDate(t)
    return nil
}

func (d BirthDate) String() string { // this is for displaying the result only
    return time.Time(d).Format("2006-01-02")
}

    data := []byte(`
name,birthdate
jerry,1990-01-01
tom,1989-11-11`)

    type Student struct {
        Name      string    `csv:"name"`
        BirthDate BirthDate `csv:"birthdate"`
    }

    var students []Student
    result, err := csvlib.Unmarshal(data, &students)
    if err != nil {
        fmt.Println("error:", err)
    }

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }
    
    // Output:
    // {Name:jerry BirthDate:1990-01-01}
    // {Name:tom BirthDate:1989-11-11}

Custom column delimiter

By default, the decoder detects columns via comma delimiter, if you want to decode custom one, use csv.Reader from the built-in package encoding/csv as the input reader.

Playground

    data := []byte(
        "name\tage\taddress\n" +
        "jerry\t10\ttokyo\n" +
        "tom\t9\tnew york\n",
    )

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address,optional"`
    }

    var students []Student
    reader := csv.NewReader(bytes.NewReader(data))
    reader.Comma = '\t'
    _, err := csvlib.NewDecoder(reader).Decode(&students)
    if err != nil {
        fmt.Println("error:", err)
    }

    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }
    
    // Output:
    // {Name:jerry Age:10 Address:tokyo}
    // {Name:tom Age:9 Address:new york}

Decode one-by-one

Playground

    data := []byte(`
name,age,address
jerry,20,
tom,26,new york`)

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address"`
    }

    reader := csv.NewReader(bytes.NewReader(data))
    decoder := csvlib.NewDecoder(reader)
    for {
        var student Student
        err := decoder.DecodeOne(&student)
        if err != nil {
            if errors.Is(err, csvlib.ErrFinished) {
                break
            }
            fmt.Println("error:", err)
            break
        }
        fmt.Printf("%+v\n", student)
    }

    result, err := decoder.Finish() // err is *csvlib.Errors if it's not nil
    fmt.Printf("%+v\n", *result)
    
    // Output:
    // {Name:jerry Age:20 Address:}
    // {Name:tom Age:26 Address:new york}
    // {totalRow:3 unrecognizedColumns:[] missingOptionalColumns:[]}

Header localization

This functionality allows to decode multiple input data with header translated into specific language

Playground

// Sample localization data (you can define them somewhere else such as in a json file)
var (
    mapLanguageEn = map[string]string{
        "name":    "name",
        "age":     "age",
        "address": "address",
    }

    mapLanguageVi = map[string]string{
        "name":    "tên",
        "age":     "tuổi",
        "address": "địa chỉ",
    }
)

func localizeViVn(k string, params csvlib.ParameterMap) (string, error) {
    return mapLanguageVi[k], nil
}

func localizeEnUs(k string, params csvlib.ParameterMap) (string, error) {
    return mapLanguageEn[k], nil
}

    dataEn := []byte(`
name,age,address
jerry,20,tokyo
tom,19,new york`)

    type Student struct {
        Name    string `csv:"name"` // this tag is now used as localization key to find the real header
        Age     int    `csv:"age"`
        Address string `csv:"address"`
    }

    var students []Student
    result, _ := csvlib.Unmarshal(dataEn, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.ParseLocalizedHeader = true
        cfg.LocalizationFunc = localizeEnUs
    })

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }

    // Output:
    // {Name:jerry Age:20 Address:tokyo}
    // {Name:tom Age:19 Address:new york}
    
    dataVi := []byte(`
tên,tuổi,địa chỉ
jerry,20,tokyo
tom,19,new york`)

    result, _ = csvlib.Unmarshal(dataVi, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.ParseLocalizedHeader = true
        cfg.LocalizationFunc = localizeViVn
    })

    fmt.Printf("%+v\n", *result)
    for _, u := range students {
        fmt.Printf("%+v\n", u)
    }

    // Output: the same
    // {Name:jerry Age:20 Address:tokyo}
    // {Name:tom Age:19 Address:new york}

Render error as human-readable format

Decoding errors can be rendered as a more human-readable content such as text or CSV.

Playground

    data := []byte(`
name,age,address
jerry,20,tokyo
tom,26,new york
tintin from paris,32,paris
jj,40,`)

    type Student struct {
        Name    string `csv:"name"`
        Age     int    `csv:"age"`
        Address string `csv:"address"`
    }

    var students []Student
    _, err := csvlib.Unmarshal(data, &students, func(cfg *csvlib.DecodeConfig) {
        cfg.StopOnError = false
        cfg.DetectRowLine = true
        cfg.ConfigureColumn("name", func(cfg *csvlib.DecodeColumnConfig) {
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorStrLen[string](3, 10)}
            cfg.OnCellErrorFunc = func(e *csvlib.CellError) {
                if errors.Is(e, csvlib.ErrValidationStrLen) {
                    e.SetLocalizationKey("Column {{.Column}} - '{{.Value}}': Name length must be from {{.MinLen}} to {{.MaxLen}}")
                    e.WithParam("MinLen", 3).WithParam("MaxLen", 10)
                }
            }
        })
        cfg.ConfigureColumn("age", func(cfg *csvlib.DecodeColumnConfig) {
            cfg.ValidatorFuncs = []csvlib.ValidatorFunc{csvlib.ValidatorRange(10, 30)}
            cfg.OnCellErrorFunc = func(e *csvlib.CellError) {
                if errors.Is(e, csvlib.ErrValidationRange) {
                    e.SetLocalizationKey("Column {{.Column}} - '{{.Value}}': Age must be from {{.MinVal}} to {{.MaxVal}}")
                    e.WithParam("MinVal", 10).WithParam("MaxVal", 30)
                }
            }
        })
    })
    if err != nil {
        renderer, _ := csvlib.NewRenderer(err.(*csvlib.Errors))
        msg, transErr, _ := renderer.Render()
        fmt.Println(transErr) // Translation error can be ignored if that is not important to you
        fmt.Println(msg)
    }
    
    // Output:
    // Error content: TotalRow: 5, TotalRowError: 2, TotalCellError: 4, TotalError: 4
    // Row 4 (line 5): Column 0 - 'tintin from paris': Name length must be from 3 to 10, Column 1 - '32': Age must be from 10 to 30
    // Row 5 (line 6): Column 0 - 'jj': Name length must be from 3 to 10, Column 1 - '40': Age must be from 10 to 30

Render error as CSV content.

Playground

    renderer, _ := csvlib.NewCSVRenderer(err.(*csvlib.Errors), func(cfg *csvlib.CSVRenderConfig) {
        cfg.CellSeparator = "\n"
    })
    msg, _, _ := renderer.RenderAsString()
    fmt.Println(msg)

    // Output:
    // |------|--------|--------------|--------------------------------------------------------|----------------------------------|----------|                            
    // |  Row |  Line  | CommonError  |  name                                                  | age                              | address  |                            
    // |------|--------|--------------|--------------------------------------------------------|----------------------------------|----------|                            
    // |  4   |  5     |              |  'tintin from paris': Name length must be from 3 to 10 | '32': Age must be from 10 to 30  |          |                            
    // |------|--------|--------------|--------------------------------------------------------|----------------------------------|----------|                            
    // |  5   |  6     |              |  'jj': Name length must be from 3 to 10                | '40': Age must be from 10 to 30  |          |                            
    // |------|--------|--------------|--------------------------------------------------------|----------------------------------|----------|

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DECODING.md

DECODING.md

Decoding CSV

Index

Content

First example

Preprocessor and Validator

When StopOnError is false

Optional and Unrecognized columns

Allow unordered header columns

Fixed inline columns

Dynamic inline columns

Custom unmarshaler

Custom column delimiter

Decode one-by-one

Header localization

Render error as human-readable format

Files

DECODING.md

Latest commit

History

DECODING.md

File metadata and controls

Decoding CSV

Index

Content

First example

Preprocessor and Validator

When StopOnError is false

Optional and Unrecognized columns

Allow unordered header columns

Fixed inline columns

Dynamic inline columns

Custom unmarshaler

Custom column delimiter

Decode one-by-one

Header localization

Render error as human-readable format