mapstructure

package module
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 Go to latest Published: Aug 15, 2019 License: Apache-2.0 Imports: 6 Imported by: 0

README

mapstructure

import "github.com/ardanlabs/mapstructure"

Overview

Package mapstructure is a Go library for decoding generic map values to structures and vice versa, while providing helpful error handling.

Base code comes from:

https://github.com/mitchellh/mapstructure

This package has added higher level support for flattening out JSON documents.

This library is most useful when decoding values from some data stream (JSON, Gob, etc.) where you don't quite know the structure of the underlying data until you read a part of it. You can therefore read a map[string]interface{} and use this library to decode it into the proper underlying native Go structure.

Usage & Example

For usage and examples see the [Godoc](http://godoc.org/github.com/mitchellh/mapstructure).

The Decode, DecodePath and DecodeSlicePath functions have examples associated with it there.

But Why?!

Go offers fantastic standard libraries for decoding formats such as JSON. The standard method is to have a struct pre-created, and populate that struct from the bytes of the encoded format. This is great, but the problem is if you have configuration or an encoding that changes slightly depending on specific fields. For example, consider this JSON:

		json
		{
  		"type": "person",
  		"name": "Mitchell"
		}

Perhaps we can't populate a specific structure without first reading the "type" field from the JSON. We could always do two passes over the decoding of the JSON (reading the "type" first, and the rest later). However, it is much simpler to just decode this into a map[string]interface{} structure, read the "type" key, then use something like this library to decode it into the proper structure.

DecodePath

Sometimes you have a large and complex JSON document where you only need to decode a small part.

{
	"userContext": {
		"conversationCredentials": {
	            "sessionToken": "06142010_1:75bf6a413327dd71ebe8f3f30c5a4210a9b11e93c028d6e11abfca7ff"
	    },
	    "valid": true,
	    "isPasswordExpired": false,
	    "cobrandId": 10000004,
	    "channelId": -1,
	    "locale": "en_US",
	    "tncVersion": 2,
	    "applicationId": "17CBE222A42161A3FF450E47CF4C1A00",
	    "cobrandConversationCredentials": {
	        "sessionToken": "06142010_1:b8d011fefbab8bf1753391b074ffedf9578612d676ed2b7f073b5785b"
	    },
	     "preferenceInfo": {
	         "currencyCode": "USD",
	         "timeZone": "PST",
	         "dateFormat": "MM/dd/yyyy",
	         "currencyNotationType": {
	             "currencyNotationType": "SYMBOL"
	         },
	         "numberFormat": {
	             "decimalSeparator": ".",
	             "groupingSeparator": ",",
	             "groupPattern": "###,##0.##"
	         }
	     }
	 },
	 "lastLoginTime": 1375686841,
	 "loginCount": 299,
	 "passwordRecovered": false,
	 "emailAddress": "johndoe@email.com",
	 "loginName": "sptest1",
	 "userId": 10483860,
	 "userType":
	     {
	     "userTypeId": 1,
	     "userTypeName": "normal_user"
	     }
}

It is nice to be able to define and pull the documents and fields you need without having to map the entire JSON structure.

type UserType struct {
	UserTypeId   int
	UserTypeName string
}

type NumberFormat struct {
	DecimalSeparator  string `jpath:"userContext.preferenceInfo.numberFormat.decimalSeparator"`
	GroupingSeparator string `jpath:"userContext.preferenceInfo.numberFormat.groupingSeparator"`
	GroupPattern      string `jpath:"userContext.preferenceInfo.numberFormat.groupPattern"`
}

type User struct {
	Session   string   `jpath:"userContext.cobrandConversationCredentials.sessionToken"`
	CobrandId int      `jpath:"userContext.cobrandId"`
	UserType  UserType `jpath:"userType"`
	LoginName string   `jpath:"loginName"`
	NumberFormat       // This can also be a pointer to the struct (*NumberFormat)
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var user User
mapstructure.DecodePath(docMap, &user)
DecodeSlicePath

Sometimes you have a slice of documents that you need to decode into a slice of structures

[
	{"name":"bill"},
	{"name":"lisa"}
]

Just Unmarshal your document into a slice of maps and decode the slice

type NameDoc struct {
	Name string `jpath:"name"`
}

sliceScript := []byte(document)
var sliceMap []map[string]interface{}
json.Unmarshal(sliceScript, &sliceMap)

var myslice []NameDoc
err := DecodeSlicePath(sliceMap, &myslice)

var myslice []*NameDoc
err := DecodeSlicePath(sliceMap, &myslice)
Decode Structs With Embedded Slices

Sometimes you have a document with arrays

{
	"cobrandId": 10010352,
	"channelId": -1,
	"locale": "en_US",
	"tncVersion": 2,
	"people": [
		{
			"name": "jack",
			"age": {
			"birth":10,
			"year":2000,
			"animals": [
				{
				"barks":"yes",
				"tail":"yes"
				},
				{
				"barks":"no",
				"tail":"yes"
				}
			]
		}
		},
		{
			"name": "jill",
			"age": {
				"birth":11,
				"year":2001
			}
		}
	]
}

You can decode within those arrays

type Animal struct {
	Barks string `jpath:"barks"`
}

type People struct {
	Age     int      `jpath:"age.birth"` // jpath is relative to the array
	Animals []Animal `jpath:"age.animals"`
}

type Items struct {
	Categories []string `jpath:"categories"`
	Peoples    []People `jpath:"people"` // Specify the location of the array
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var items Items
DecodePath(docMap, &items)

Index

Examples
Package files

doc.go error.go mapstructure.go

func Decode

func Decode(m interface{}, rawVal interface{}) error

Decode takes a map and uses reflection to convert it into the given Go native structure. val must be a pointer to a struct.

func DecodePath

func DecodePath(m map[string]interface{}, rawVal interface{}) error

DecodePath takes a map and uses reflection to convert it into the given Go native structure. Tags are used to specify the mapping between fields in the map and structure

func DecodeSlicePath

func DecodeSlicePath(ms []map[string]interface{}, rawSlice interface{}) error

DecodeSlicePath decodes a slice of maps against a slice of structures that contain specified tags

type DecodeHookFunc

type DecodeHookFunc func(reflect.Kind, reflect.Kind, interface{}) (interface{}, error)

DecodeHookFunc declares a function to help with decoding.

type Decoder

type Decoder struct {
    // contains filtered or unexported fields
}

A Decoder takes a raw interface value and turns it into structured data, keeping track of rich error information along the way in case anything goes wrong. Unlike the basic top-level Decode method, you can more finely control how the Decoder behaves using the DecoderConfig structure. The top-level Decode method is just a convenience that sets up the most basic Decoder.

func NewDecoder
func NewDecoder(config *DecoderConfig) (*Decoder, error)

NewDecoder returns a new decoder for the given configuration. Once a decoder has been returned, the same configuration must not be used again.

func NewPathDecoder
func NewPathDecoder(config *DecoderConfig) (*Decoder, error)

NewPathDecoder returns a new decoder for the given configuration. This is used to decode path specific structures

func (*Decoder) Decode
func (d *Decoder) Decode(raw interface{}) error

Decode decodes the given raw interface to the target pointer specified by the configuration.

func (*Decoder) DecodePath
func (d *Decoder) DecodePath(m map[string]interface{}, rawVal interface{}) (bool, error)

DecodePath decodes the raw interface against the map based on the specified tags

type DecoderConfig

type DecoderConfig struct {
    // DecodeHook, if set, will be called before any decoding and any
    // type conversion (if WeaklyTypedInput is on). This lets you modify
    // the values before they're set down onto the resulting struct.
    //
    // If an error is returned, the entire decode will fail with that
    // error.
    DecodeHook DecodeHookFunc

    // If ErrorUnused is true, then it is an error for there to exist
    // keys in the original map that were unused in the decoding process
    // (extra keys).
    ErrorUnused bool

    // If WeaklyTypedInput is true, the decoder will make the following
    // "weak" conversions:
    //
    //   - bools to string (true = "1", false = "0")
    //   - numbers to string (base 10)
    //   - bools to int/uint (true = 1, false = 0)
    //   - strings to int/uint (base implied by prefix)
    //   - int to bool (true if value != 0)
    //   - string to bool (accepts: 1, t, T, TRUE, true, True, 0, f, F,
    //     FALSE, false, False. Anything else is an error)
    //   - empty array = empty map and vice versa
    //
    WeaklyTypedInput bool

    // Metadata is the struct that will contain extra metadata about
    // the decoding. If this is nil, then no metadata will be tracked.
    Metadata *Metadata

    // Result is a pointer to the struct that will contain the decoded
    // value.
    Result interface{}

    // The tag name that mapstructure reads for field names. This
    // defaults to "mapstructure"
    TagName string
}

DecoderConfig is the configuration that is used to create a new decoder and allows customization of various aspects of decoding.

type Error

type Error struct {
    Errors []string
}

Error implements the error interface and can represents multiple errors that occur in the course of a single decode.

func (*Error) Error
func (e *Error) Error() string

Error is implementing the error interface.

type Metadata

type Metadata struct {
    // Keys are the keys of the structure which were successfully decoded
    Keys []string

    // Unused is a slice of keys that were found in the raw value but
    // weren't decoded since there was no matching field in the result interface
    Unused []string
}

Metadata contains information about decoding a structure that is tedious or difficult to get otherwise.

Generated by godoc2md

Documentation

Overview

Package mapstructure is a Go library for decoding generic map values to structures and vice versa, while providing helpful error handling.

Base code comes from:

https://github.com/mitchellh/mapstructure

This package has added higher level support for flattening out JSON documents.

This library is most useful when decoding values from some data stream (JSON, Gob, etc.) where you don't _quite_ know the structure of the underlying data until you read a part of it. You can therefore read a `map[string]interface{}` and use this library to decode it into the proper underlying native Go structure.

Usage & Example

For usage and examples see the [Godoc](http://godoc.org/github.com/mitchellh/mapstructure).

The `Decode`, `DecodePath` and `DecodeSlicePath` functions have examples associated with it there.

But Why?!

Go offers fantastic standard libraries for decoding formats such as JSON. The standard method is to have a struct pre-created, and populate that struct from the bytes of the encoded format. This is great, but the problem is if you have configuration or an encoding that changes slightly depending on specific fields. For example, consider this JSON: 

		json
		{
  		"type": "person",
  		"name": "Mitchell"
		}

Perhaps we can't populate a specific structure without first reading the "type" field from the JSON. We could always do two passes over the decoding of the JSON (reading the "type" first, and the rest later). However, it is much simpler to just decode this into a `map[string]interface{}` structure, read the "type" key, then use something like this library to decode it into the proper structure.

DecodePath

Sometimes you have a large and complex JSON document where you only need to decode a small part. 

{
	"userContext": {
		"conversationCredentials": {
	            "sessionToken": "06142010_1:75bf6a413327dd71ebe8f3f30c5a4210a9b11e93c028d6e11abfca7ff"
	    },
	    "valid": true,
	    "isPasswordExpired": false,
	    "cobrandId": 10000004,
	    "channelId": -1,
	    "locale": "en_US",
	    "tncVersion": 2,
	    "applicationId": "17CBE222A42161A3FF450E47CF4C1A00",
	    "cobrandConversationCredentials": {
	        "sessionToken": "06142010_1:b8d011fefbab8bf1753391b074ffedf9578612d676ed2b7f073b5785b"
	    },
	     "preferenceInfo": {
	         "currencyCode": "USD",
	         "timeZone": "PST",
	         "dateFormat": "MM/dd/yyyy",
	         "currencyNotationType": {
	             "currencyNotationType": "SYMBOL"
	         },
	         "numberFormat": {
	             "decimalSeparator": ".",
	             "groupingSeparator": ",",
	             "groupPattern": "###,##0.##"
	         }
	     }
	 },
	 "lastLoginTime": 1375686841,
	 "loginCount": 299,
	 "passwordRecovered": false,
	 "emailAddress": "johndoe@email.com",
	 "loginName": "sptest1",
	 "userId": 10483860,
	 "userType":
	     {
	     "userTypeId": 1,
	     "userTypeName": "normal_user"
	     }
}

It is nice to be able to define and pull the documents and fields you need without having to map the entire JSON structure. 

type UserType struct {
	UserTypeId   int
	UserTypeName string
}

type NumberFormat struct {
	DecimalSeparator  string `jpath:"userContext.preferenceInfo.numberFormat.decimalSeparator"`
	GroupingSeparator string `jpath:"userContext.preferenceInfo.numberFormat.groupingSeparator"`
	GroupPattern      string `jpath:"userContext.preferenceInfo.numberFormat.groupPattern"`
}

type User struct {
	Session   string   `jpath:"userContext.cobrandConversationCredentials.sessionToken"`
	CobrandId int      `jpath:"userContext.cobrandId"`
	UserType  UserType `jpath:"userType"`
	LoginName string   `jpath:"loginName"`
	NumberFormat       // This can also be a pointer to the struct (*NumberFormat)
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var user User
mapstructure.DecodePath(docMap, &user)

DecodeSlicePath

Sometimes you have a slice of documents that you need to decode into a slice of structures 

[
	{"name":"bill"},
	{"name":"lisa"}
]

Just Unmarshal your document into a slice of maps and decode the slice 

type NameDoc struct {
	Name string `jpath:"name"`
}

sliceScript := []byte(document)
var sliceMap []map[string]interface{}
json.Unmarshal(sliceScript, &sliceMap)

var myslice []NameDoc
err := DecodeSlicePath(sliceMap, &myslice)

var myslice []*NameDoc
err := DecodeSlicePath(sliceMap, &myslice)

Decode Structs With Embedded Slices

Sometimes you have a document with arrays 

{
	"cobrandId": 10010352,
	"channelId": -1,
	"locale": "en_US",
	"tncVersion": 2,
	"people": [
		{
			"name": "jack",
			"age": {
			"birth":10,
			"year":2000,
			"animals": [
				{
				"barks":"yes",
				"tail":"yes"
				},
				{
				"barks":"no",
				"tail":"yes"
				}
			]
		}
		},
		{
			"name": "jill",
			"age": {
				"birth":11,
				"year":2001
			}
		}
	]
}

You can decode within those arrays 

type Animal struct {
	Barks string `jpath:"barks"`
}

type People struct {
	Age     int      `jpath:"age.birth"` // jpath is relative to the array
	Animals []Animal `jpath:"age.animals"`
}

type Items struct {
	Categories []string `jpath:"categories"`
	Peoples    []People `jpath:"people"` // Specify the location of the array
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var items Items
DecodePath(docMap, &items)

Index

Examples

Constants

This section is empty.

Variables

This section is empty.

Functions

func Decode 

func Decode(m interface{}, rawVal interface{}) error

Decode takes a map and uses reflection to convert it into the given Go native structure. val must be a pointer to a struct.

Example 
type Person struct {
	Name   string
	Age    int
	Emails []string
	Extra  map[string]string
}

// This input can come from anywhere, but typically comes from
// something like decoding JSON where we're not quite sure of the
// struct initially.
input := map[string]interface{}{
	"name":   "Mitchell",
	"age":    91,
	"emails": []string{"one", "two", "three"},
	"extra": map[string]string{
		"twitter": "mitchellh",
	},
}

var result Person
err := Decode(input, &result)
if err != nil {
	panic(err)
}

fmt.Printf("%#v", result)

Output:

mapstructure.Person{Name:"Mitchell", Age:91, Emails:[]string{"one", "two", "three"}, Extra:map[string]string{"twitter":"mitchellh"}}
Example (AbstractField) 
var document = `{"Error":[{"errorDetail":"Invalid Cobrand Credentials"}]}`

type YodleeError struct {
	Error []map[string]interface{} `jpath:"Error"`
}

type CobrandContext struct {
	YodleeError
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var cobrandContext CobrandContext
DecodePath(docMap, &cobrandContext)

fmt.Printf("%#v", cobrandContext)

Output:

mapstructure.CobrandContext{YodleeError:mapstructure.YodleeError{Error:[]map[string]interface {}{map[string]interface {}{"errorDetail":"Invalid Cobrand Credentials"}}}}
Example (EmbeddedSlice) 
document := `{
	  "cobrandId": 10010352,
	  "channelId": -1,
	  "locale": "en_US",
	  "tncVersion": 2,
	  "categories":["rabbit","bunny","frog"],
	  "people": [
	 	{
			"name": "jack",
			"age": {
				"birth":10,
				"year":2000,
				"animals": [
					{
						"barks":"yes",
						"tail":"yes"
					},
					{
						"barks":"no",
						"tail":"yes"
					}
				]
			}
		},
		{
			"name": "jill",
			"age": {
				"birth":11,
				"year":2001
			}
		}
	  ]
}`

type Animal struct {
	Barks string `jpath:"barks"`
}

type People struct {
	Age     int      `jpath:"age.birth"` // jpath is relative to the array
	Animals []Animal `jpath:"age.animals"`
}

type Items struct {
	Categories []string `jpath:"categories"`
	Peoples    []People `jpath:"people"` // Specify the location of the array
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var items Items
DecodePath(docMap, &items)

fmt.Printf("%#v", items)

Output:

mapstructure.Items{Categories:[]string{"rabbit", "bunny", "frog"}, Peoples:[]mapstructure.People{mapstructure.People{Age:10, Animals:[]mapstructure.Animal{mapstructure.Animal{Barks:"yes"}, mapstructure.Animal{Barks:"no"}}}, mapstructure.People{Age:11, Animals:[]mapstructure.Animal(nil)}}}
Example (Errors) 
type Person struct {
	Name   string
	Age    int
	Emails []string
	Extra  map[string]string
}

// This input can come from anywhere, but typically comes from
// something like decoding JSON where we're not quite sure of the
// struct initially.
input := map[string]interface{}{
	"name":   123,
	"age":    "bad value",
	"emails": []int{1, 2, 3},
}

var result Person
err := Decode(input, &result)
if err == nil {
	panic("should have an error")
}

fmt.Println(err.Error())
// MAPS are Random - Output:
// 5 error(s) decoding:
//
// * 'Name' expected type 'string', got unconvertible type 'int'
// * 'Age' expected type 'int', got unconvertible type 'string'
// * 'Emails[0]' expected type 'string', got unconvertible type 'int'
// * 'Emails[1]' expected type 'string', got unconvertible type 'int'
// * 'Emails[2]' expected type 'string', got unconvertible type 'int'
Example (Metadata) 
type Person struct {
	Name string
	Age  int
}

// This input can come from anywhere, but typically comes from
// something like decoding JSON where we're not quite sure of the
// struct initially.
input := map[string]interface{}{
	"name":  "Mitchell",
	"age":   91,
	"email": "foo@bar.com",
}

// For metadata, we make a more advanced DecoderConfig so we can
// more finely configure the decoder that is used. In this case, we
// just tell the decoder we want to track metadata.
var md Metadata
var result Person
config := &DecoderConfig{
	Metadata: &md,
	Result:   &result,
}

decoder, err := NewDecoder(config)
if err != nil {
	panic(err)
}

if err := decoder.Decode(input); err != nil {
	panic(err)
}

fmt.Printf("Unused keys: %#v", md.Unused)

Output:

Unused keys: []string{"email"}
Example (WeaklyTypedInput) 
type Person struct {
	Name   string
	Age    int
	Emails []string
}

// This input can come from anywhere, but typically comes from
// something like decoding JSON, generated by a weakly typed language
// such as PHP.
input := map[string]interface{}{
	"name":   123,                      // number => string
	"age":    "42",                     // string => number
	"emails": map[string]interface{}{}, // empty map => empty array
}

var result Person
config := &DecoderConfig{
	WeaklyTypedInput: true,
	Result:           &result,
}

decoder, err := NewDecoder(config)
if err != nil {
	panic(err)
}

err = decoder.Decode(input)
if err != nil {
	panic(err)
}

fmt.Printf("%#v", result)

Output:

mapstructure.Person{Name:"123", Age:42, Emails:[]string{}}

func DecodePath 

func DecodePath(m map[string]interface{}, rawVal interface{}) error

DecodePath takes a map and uses reflection to convert it into the given Go native structure. Tags are used to specify the mapping between fields in the map and structure

Example 
document := `{
    "userContext": {
        "conversationCredentials": {
            "sessionToken": "06142010_1:75bf6a413327dd71ebe8f3f30c5a4210a9b11e93c028d6e11abfca7ff"
        },
        "valid": true,
        "isPasswordExpired": false,
        "cobrandId": 10000004,
        "channelId": -1,
        "locale": "en_US",
        "tncVersion": 2,
        "applicationId": "17CBE222A42161A3FF450E47CF4C1A00",
        "cobrandConversationCredentials": {
            "sessionToken": "06142010_1:b8d011fefbab8bf1753391b074ffedf9578612d676ed2b7f073b5785b"
        },
        "preferenceInfo": {
            "currencyCode": "USD",
            "timeZone": "PST",
            "dateFormat": "MM/dd/yyyy",
            "currencyNotationType": {
                "currencyNotationType": "SYMBOL"
            },
            "numberFormat": {
                "decimalSeparator": ".",
                "groupingSeparator": ",",
                "groupPattern": "###,##0.##"
            }
        }
    },
    "lastLoginTime": 1375686841,
    "loginCount": 299,
    "passwordRecovered": false,
    "emailAddress": "johndoe@email.com",
    "loginName": "sptest1",
    "userId": 10483860,
    "userType":
        {
        "userTypeId": 1,
        "userTypeName": "normal_user"
        }
}`

type UserType struct {
	UserTypeID   int
	UserTypeName string
}

type NumberFormat struct {
	DecimalSeparator  string `jpath:"userContext.preferenceInfo.numberFormat.decimalSeparator"`
	GroupingSeparator string `jpath:"userContext.preferenceInfo.numberFormat.groupingSeparator"`
	GroupPattern      string `jpath:"userContext.preferenceInfo.numberFormat.groupPattern"`
}

type User struct {
	Session      string   `jpath:"userContext.cobrandConversationCredentials.sessionToken"`
	CobrandID    int      `jpath:"userContext.cobrandId"`
	UserType     UserType `jpath:"userType"`
	LoginName    string   `jpath:"loginName"`
	NumberFormat          // This can also be a pointer to the struct (*NumberFormat)
}

docScript := []byte(document)
var docMap map[string]interface{}
json.Unmarshal(docScript, &docMap)

var user User
DecodePath(docMap, &user)

fmt.Printf("%v", user)

Output:

{06142010_1:b8d011fefbab8bf1753391b074ffedf9578612d676ed2b7f073b5785b 10000004 {1 normal_user} sptest1 {. , ###,##0.##}}

func DecodeSlicePath 

func DecodeSlicePath(ms []map[string]interface{}, rawSlice interface{}) error

DecodeSlicePath decodes a slice of maps against a slice of structures that contain specified tags

Example 
var document = `[{"name":"bill"},{"name":"lisa"}]`

type NameDoc struct {
	Name string `jpath:"name"`
}

sliceScript := []byte(document)
var sliceMap []map[string]interface{}
json.Unmarshal(sliceScript, &sliceMap)

var myslice []NameDoc
DecodeSlicePath(sliceMap, &myslice)

fmt.Printf("%#v", myslice)

Output:

[]mapstructure.NameDoc{mapstructure.NameDoc{Name:"bill"}, mapstructure.NameDoc{Name:"lisa"}}

Types

type DecodeHookFunc 

type DecodeHookFunc func(reflect.Kind, reflect.Kind, interface{}) (interface{}, error)

DecodeHookFunc declares a function to help with decoding.

type Decoder 

type Decoder struct {
	// contains filtered or unexported fields
}

A Decoder takes a raw interface value and turns it into structured data, keeping track of rich error information along the way in case anything goes wrong. Unlike the basic top-level Decode method, you can more finely control how the Decoder behaves using the DecoderConfig structure. The top-level Decode method is just a convenience that sets up the most basic Decoder.

func NewDecoder 

func NewDecoder(config *DecoderConfig) (*Decoder, error)

NewDecoder returns a new decoder for the given configuration. Once a decoder has been returned, the same configuration must not be used again.

func NewPathDecoder 

func NewPathDecoder(config *DecoderConfig) (*Decoder, error)

NewPathDecoder returns a new decoder for the given configuration. This is used to decode path specific structures

func (*Decoder) Decode 

func (d *Decoder) Decode(raw interface{}) error

Decode decodes the given raw interface to the target pointer specified by the configuration.

func (*Decoder) DecodePath 

func (d *Decoder) DecodePath(m map[string]interface{}, rawVal interface{}) (bool, error)

DecodePath decodes the raw interface against the map based on the specified tags

type DecoderConfig 

type DecoderConfig struct {
	// DecodeHook, if set, will be called before any decoding and any
	// type conversion (if WeaklyTypedInput is on). This lets you modify
	// the values before they're set down onto the resulting struct.
	//
	// If an error is returned, the entire decode will fail with that
	// error.
	DecodeHook DecodeHookFunc

	// If ErrorUnused is true, then it is an error for there to exist
	// keys in the original map that were unused in the decoding process
	// (extra keys).
	ErrorUnused bool

	// If WeaklyTypedInput is true, the decoder will make the following
	// "weak" conversions:
	//
	//   - bools to string (true = "1", false = "0")
	//   - numbers to string (base 10)
	//   - bools to int/uint (true = 1, false = 0)
	//   - strings to int/uint (base implied by prefix)
	//   - int to bool (true if value != 0)
	//   - string to bool (accepts: 1, t, T, TRUE, true, True, 0, f, F,
	//     FALSE, false, False. Anything else is an error)
	//   - empty array = empty map and vice versa
	//
	WeaklyTypedInput bool

	// Metadata is the struct that will contain extra metadata about
	// the decoding. If this is nil, then no metadata will be tracked.
	Metadata *Metadata

	// Result is a pointer to the struct that will contain the decoded
	// value.
	Result interface{}

	// The tag name that mapstructure reads for field names. This
	// defaults to "mapstructure"
	TagName string
}

DecoderConfig is the configuration that is used to create a new decoder and allows customization of various aspects of decoding.

type Error 

type Error struct {
	Errors []string
}

Error implements the error interface and can represents multiple errors that occur in the course of a single decode.

func (*Error) Error 

func (e *Error) Error() string

Error is implementing the error interface.

type Metadata 

type Metadata struct {
	// Keys are the keys of the structure which were successfully decoded
	Keys []string

	// Unused is a slice of keys that were found in the raw value but
	// weren't decoded since there was no matching field in the result interface
	Unused []string
}

Metadata contains information about decoding a structure that is tedious or difficult to get otherwise.

Source Files

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