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mantau.go
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package mantau
import (
"errors"
"reflect"
"time"
)
type (
// Mantau type
mantau struct {
opt *Options
}
// Mantau options
Options struct {
// Hook with determine how mantau take individual field and transform it
// Based on the given schema
Hook string
}
)
type (
// A schema describing how the data should be transformed
Schema map[string]Field
// A field describe the matching key or tag from source data
Field struct {
// The result mapped key
Key string
// Value could be nil or a schema
Value interface{}
}
// A value will store the schema field name and corresponding value after it's being transformed
Value struct {
// Key will store the schema key
Key string
// Value will store the transformed value
Value interface{}
}
// Result will store the final result of the data after it's being transformed
Result map[string]interface{}
// Kind is just a string type aliase for this package
Kind string
)
// Data kinds
var (
Struct Kind = "struct"
Map Kind = "map"
Slice Kind = "slice"
Array Kind = "array"
Pointer Kind = "pointer"
Other Kind = "other"
Nil Kind = "nil"
)
// IsEmpty will check if the Key or Value field is empty
// This will prevent an empty value result being added to the mapped result
func (v *Value) IsEmpty() bool {
if v.Key == "" {
return true
}
if v.Value == nil {
return true
}
return false
}
// Create a new mantau instance and set the default options
func New() *mantau {
return &mantau{
opt: &Options{
Hook: "json",
},
}
}
// SetOpt will override the default options with the given options
func (m *mantau) SetOpt(opt *Options) {
m.opt = opt
}
// Transform data with the given schema
func (m *mantau) Transform(src interface{}, schema Schema) (interface{}, error) {
return m.serialize(src, schema)
}
// Get the input data kind based on given value
func (m *mantau) getKind(src interface{}) Kind {
if src == nil {
return Nil
}
switch reflect.TypeOf(src).Kind() {
case reflect.Struct:
return Struct
case reflect.Map:
return Map
case reflect.Slice:
return Slice
case reflect.Array:
return Array
case reflect.Ptr:
return Pointer
default:
return Other
}
}
// Check if the type of the given value other than a struct, map, array or slice
// If so, we should not transform it
func (m *mantau) shouldSkipTransform(src interface{}) bool {
value := m.getValue(src).Interface()
switch value.(type) {
case time.Time:
return true
case string:
return true
case bool:
return true
case int, int8, int16, int32, int64:
return true
case uint, uint8, uint16, uint32, uint64:
return true
case float32, float64:
return true
case complex64, complex128:
return true
case []time.Time:
return true
case []string:
return true
case []bool:
return true
case []int, []int8, []int16, []int32, []int64:
return true
case []uint, []uint8, []uint16, []uint32, []uint64:
return true
case []float32, []float64:
return true
case []complex64, []complex128:
return true
}
return false
}
// getValue will retrieve the value from the given source regardless the source is pointer or other
// and return reflect.Value
func (m *mantau) getValue(src interface{}) reflect.Value {
val := reflect.ValueOf(src)
if reflect.TypeOf(src).Kind() == reflect.Ptr {
return val.Elem()
}
return val
}
// getType will retrieve the type of the given source regardless the source is pointer or other
// and return reflect.Type
func (m *mantau) getType(src interface{}) reflect.Type {
val := reflect.TypeOf(src)
if reflect.TypeOf(src).Kind() == reflect.Ptr {
return val.Elem()
}
return val
}
// getPtrValue will retrieve the actual value from pointer and return an interface{}
func (m *mantau) getPtrValue(src interface{}) interface{} {
if src == nil {
return nil
}
if m.getKind(src) != Pointer {
return nil
}
value := reflect.ValueOf(src).Elem()
if value.Interface() == nil {
return nil
}
if reflect.ValueOf(value.Interface()).IsZero() {
return nil
}
// If the type of value is struct then return it directly because the next step is to check if the value is nil
if m.getKind(value.Interface()) == Struct {
return value.Interface()
}
return value.Interface()
}
// transformMap will take a map as an input and transform it's value based on the given schema
// and return mantau.Result as the final result
func (m *mantau) transformMap(src interface{}, schema Schema) (Result, error) {
if src == nil {
return nil, nil
}
result := Result{}
value := m.getValue(src)
for _, val := range value.MapKeys() {
v, err := m.mapWithSchema(
val.String(),
value.MapIndex(val).Interface(),
schema,
)
if err != nil {
return nil, err
}
if v.IsEmpty() {
continue
}
result[v.Key] = v.Value
}
return result, nil
}
// mapWithSchema will iterates the given schema and find the corresponding data based on the given value
// and return mantau.Value as the final result
func (m *mantau) mapWithSchema(field string, value interface{}, schema Schema) (Value, error) {
for key, val := range schema {
if val.Key == field {
schemaValue := schema
if s, ok := val.Value.(Schema); ok {
schemaValue = s
}
v, err := m.transformValue(value, schemaValue)
if err != nil {
return Value{}, err
}
return Value{Key: key, Value: v}, nil
}
}
return Value{}, nil
}
// tagLookup is used specifically for struct
// tagLookup will find the struct tag on a struct field
// the tag is used to map the struct value with the schema
func (m *mantau) tagLookup(t reflect.Type, fieldName string) (string, error) {
field, ok := t.FieldByName(fieldName)
if !ok {
return "", errors.New("Cannot find the field")
}
tag, ok := field.Tag.Lookup(m.opt.Hook)
if tag == "" || !ok {
return "", errors.New("Cannot find tag")
}
return tag, nil
}
// serialize will check for the given value and determine which process need to take
// based on the given value and the given schema
func (m *mantau) serialize(src interface{}, schema Schema) (interface{}, error) {
kind := m.getKind(src)
if kind == Other {
return nil, errors.New("Source type is not allowed")
}
if kind == Nil {
return nil, nil
}
switch kind {
case Struct:
return m.transformStruct(src, schema)
case Slice:
return m.transformCollections(src, schema)
case Array:
return m.transformCollections(src, schema)
case Map:
return m.transformMap(src, schema)
}
return nil, nil
}
// transformValue will check for individual value after it's being transformed,
// if the given value contains nested data structure it will determine which process to take
// to get the final result
func (m *mantau) transformValue(src interface{}, schema Schema) (interface{}, error) {
// Check if the value cannot be transformed. If so, then just return it
if m.shouldSkipTransform(src) {
return m.getValue(src).Interface(), nil
}
kind := m.getKind(src)
switch kind {
case Struct:
return m.transformStruct(src, schema)
case Slice:
return m.transformCollections(src, schema)
case Array:
return m.transformCollections(src, schema)
case Map:
return m.transformMap(src, schema)
case Pointer:
value := m.getPtrValue(src)
return m.transformValue(
value,
schema,
)
}
return nil, nil
}
// transformCollections will take an array or slice as an input and transform
// it's value based on the given schema and return mantau.Result as the final result
func (m *mantau) transformCollections(src interface{}, schema Schema) ([]Result, error) {
if src == nil {
return nil, nil
}
result := make([]Result, 0)
value := m.getValue(src)
for i := 0; i < value.Len(); i++ {
v, err := m.transformValue(value.Index(i).Interface(), schema)
if err != nil {
return nil, err
}
res, ok := v.(Result)
if !ok {
continue
}
result = append(result, res)
}
return result, nil
}
// transformStruct will take a struct as an input and transform it's value
// based on the given schema and return mantau.Result as the final result
func (m *mantau) transformStruct(src interface{}, schema Schema) (Result, error) {
if src == nil {
return nil, nil
}
result := Result{}
value := m.getValue(src)
dataType := m.getType(src)
for i := 0; i < value.NumField(); i++ {
tag, err := m.tagLookup(value.Type(), dataType.Field(i).Name)
if err != nil {
return nil, err
}
v, err := m.mapWithSchema(tag, value.Field(i).Interface(), schema)
if err != nil {
return nil, err
}
if v.IsEmpty() {
continue
}
result[v.Key] = v.Value
}
return result, nil
}