Is there an easy way to check if each field of myStruct was mapped by using json.Unmarshal(jsonData, &myStruct).
The only way I could image is to define each field of a struct as pointer, otherwise you will always get back an initialized struct. So every jsonString that is an object (even an empty one {}) will return an initialized struct and you cannot tell if the json represented your struct.
The only solution I could think of is quite uncomfortable:
package main
import (
"encoding/json"
"fmt"
)
type Person struct {
Name *string `json:name`
Age *int `json:age`
Male *bool `json:male`
}
func main() {
var p *Person
err := json.Unmarshal([]byte("{}"), &p)
// handle parse error
if err != nil {
return
}
// handle json did not match error
if p.Name == nil || p.Age == nil || p.Male == nil {
return
}
// now use the fields with dereferencing and hope you did not forget a nil check
fmt.Println("Hello " + *p.Name)
}
Maybe one could use a library like govalidator and use SetFieldsRequiredByDefault. But then you still have to execute the validation and still you are left with the whole pointer dereferencing for value retrieval and the risk of nil pointer.
What I would like is a function that returns my unmarshaled json as a struct or an error if the fields did not match. The only thing the golang json library offers is an option to fail on unknown fields but not to fail on missing fields.
Any idea?
Another way would be to implement your own json.Unmarshaler which uses reflection (similar to the default json unmarshaler):
There are a few points to consider:
json.Decoder.DisallowUnknownFields
function will not work as expected with your type. You need to implement this yourself (see example below)Here a fully executable test of this approach:
package sandbox
import (
"encoding/json"
"errors"
"reflect"
"strings"
"testing"
)
type Person struct {
Name string
City string
}
func (p *Person) UnmarshalJSON(data []byte) error {
var m map[string]interface{}
err := json.Unmarshal(data, &m)
if err != nil {
return err
}
v := reflect.ValueOf(p).Elem()
t := v.Type()
var missing []string
for i := 0; i < t.NumField(); i++ {
field := t.Field(i)
val, ok := m[field.Name]
delete(m, field.Name)
if !ok {
missing = append(missing, field.Name)
continue
}
switch field.Type.Kind() {
// TODO: if the field is an integer you need to transform the val from float
default:
v.Field(i).Set(reflect.ValueOf(val))
}
}
if len(missing) > 0 {
return errors.New("missing fields: " + strings.Join(missing, ", "))
}
if len(m) > 0 {
extra := make([]string, 0, len(m))
for field := range m {
extra = append(extra, field)
}
// TODO: consider sorting the output to get deterministic errors:
// sort.Strings(extra)
return errors.New("unknown fields: " + strings.Join(extra, ", "))
}
return nil
}
func TestJSONDecoder(t *testing.T) {
cases := map[string]struct {
in string
err string
expected Person
}{
"Empty object": {
in: `{}`,
err: "missing fields: Name, City",
expected: Person{},
},
"Name missing": {
in: `{"City": "Berlin"}`,
err: "missing fields: Name",
expected: Person{City: "Berlin"},
},
"Age missing": {
in: `{"Name": "Friedrich"}`,
err: "missing fields: City",
expected: Person{Name: "Friedrich"},
},
"Unknown field": {
in: `{"Name": "Friedrich", "City": "Berlin", "Test": true}`,
err: "unknown fields: Test",
expected: Person{Name: "Friedrich", City: "Berlin"},
},
"OK": {
in: `{"Name": "Friedrich", "City": "Berlin"}`,
expected: Person{Name: "Friedrich", City: "Berlin"},
},
}
for name, c := range cases {
t.Run(name, func(t *testing.T) {
var actual Person
r := strings.NewReader(c.in)
err := json.NewDecoder(r).Decode(&actual)
switch {
case err != nil && c.err == "":
t.Errorf("Expected no error but go %v", err)
case err == nil && c.err != "":
t.Errorf("Did not return expected error %v", c.err)
case err != nil && err.Error() != c.err:
t.Errorf("Expected error %q but got %v", c.err, err)
}
if !reflect.DeepEqual(c.expected, actual) {
t.Errorf("\nWant: %+v\nGot: %+v", c.expected, actual)
}
})
}
}
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