matterbridge/vendor/github.com/gorilla/schema/doc.go

149 lines
4.0 KiB
Go
Raw Normal View History

2016-04-10 21:39:38 +00:00
// Copyright 2012 The Gorilla Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
/*
Package gorilla/schema fills a struct with form values.
The basic usage is really simple. Given this struct:
type Person struct {
Name string
Phone string
}
2017-03-25 19:45:10 +00:00
...we can fill it passing a map to the Decode() function:
2016-04-10 21:39:38 +00:00
values := map[string][]string{
"Name": {"John"},
"Phone": {"999-999-999"},
}
person := new(Person)
decoder := schema.NewDecoder()
decoder.Decode(person, values)
This is just a simple example and it doesn't make a lot of sense to create
the map manually. Typically it will come from a http.Request object and
will be of type url.Values: http.Request.Form or http.Request.MultipartForm:
func MyHandler(w http.ResponseWriter, r *http.Request) {
err := r.ParseForm()
if err != nil {
// Handle error
}
decoder := schema.NewDecoder()
// r.PostForm is a map of our POST form values
err := decoder.Decode(person, r.PostForm)
if err != nil {
// Handle error
}
// Do something with person.Name or person.Phone
}
Note: it is a good idea to set a Decoder instance as a package global,
because it caches meta-data about structs, and a instance can be shared safely:
var decoder = schema.NewDecoder()
To define custom names for fields, use a struct tag "schema". To not populate
certain fields, use a dash for the name and it will be ignored:
type Person struct {
Name string `schema:"name"` // custom name
Phone string `schema:"phone"` // custom name
Admin bool `schema:"-"` // this field is never set
}
The supported field types in the destination struct are:
* bool
* float variants (float32, float64)
* int variants (int, int8, int16, int32, int64)
* string
* uint variants (uint, uint8, uint16, uint32, uint64)
* struct
* a pointer to one of the above types
* a slice or a pointer to a slice of one of the above types
Non-supported types are simply ignored, however custom types can be registered
to be converted.
To fill nested structs, keys must use a dotted notation as the "path" for the
field. So for example, to fill the struct Person below:
type Phone struct {
Label string
Number string
}
type Person struct {
Name string
Phone Phone
}
...the source map must have the keys "Name", "Phone.Label" and "Phone.Number".
This means that an HTML form to fill a Person struct must look like this:
<form>
<input type="text" name="Name">
<input type="text" name="Phone.Label">
<input type="text" name="Phone.Number">
</form>
Single values are filled using the first value for a key from the source map.
Slices are filled using all values for a key from the source map. So to fill
a Person with multiple Phone values, like:
type Person struct {
Name string
Phones []Phone
}
...an HTML form that accepts three Phone values would look like this:
<form>
<input type="text" name="Name">
<input type="text" name="Phones.0.Label">
<input type="text" name="Phones.0.Number">
<input type="text" name="Phones.1.Label">
<input type="text" name="Phones.1.Number">
<input type="text" name="Phones.2.Label">
<input type="text" name="Phones.2.Number">
</form>
Notice that only for slices of structs the slice index is required.
This is needed for disambiguation: if the nested struct also had a slice
field, we could not translate multiple values to it if we did not use an
index for the parent struct.
There's also the possibility to create a custom type that implements the
TextUnmarshaler interface, and in this case there's no need to registry
a converter, like:
type Person struct {
Emails []Email
}
type Email struct {
*mail.Address
}
func (e *Email) UnmarshalText(text []byte) (err error) {
e.Address, err = mail.ParseAddress(string(text))
return
}
...an HTML form that accepts three Email values would look like this:
<form>
<input type="email" name="Emails.0">
<input type="email" name="Emails.1">
<input type="email" name="Emails.2">
</form>
*/
package schema