Name: conform
Owner: AOE
Description: Trims, sanitizes & scrubs data based on struct tags (go, golang)
Forked from: leebenson/conform
Created: 2018-05-15 11:37:24.0
Updated: 2018-05-15 14:01:52.0
Pushed: 2018-05-15 14:01:51.0
Size: 41
Language: Go
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Trim, sanitize, and modify struct string fields in place, based on tags.
Update Jan 12, 2016 – Now also works with embedded structs
Turns this…
Person struct {
FirstName string `conform:"name"`
LastName string `conform:"ucfirst,trim"`
Email string `conform:"email"`
CamelCase string `conform:"camel"`
UserName string `conform:"snake"`
Slug string `conform:"slug"`
Blurb string `conform:"title"`
Left string `conform:"ltrim"`
Right string `conform:"rtrim"`
= Person{
" LEE ",
" Benson",
" LEE@LEEbenson.com ",
"I love new york city",
"lee benson",
"LeeBensonWasHere",
"this is a little bit about me...",
" Left trim ",
" Right trim ",
Into this…
= p1 // <-- copy the Person struct into a new one, to see the difference
orm.Strings(&p2) // <-- this does the work
p1 (left) vs. p2 (right)
FirstName: ' LEE ' -> 'Lee'
LastName: ' Benson' -> 'Benson'
Email: ' LEE@LEEbenson.com ' -> 'lee@leebenson.com'
CamelCase: 'I love new york city' -> 'ILoveNewYorkCity'
UserName: 'lee benson' -> 'lee_benson'
Slug: 'LeeBensonWasHere' -> 'lee-benson-was-here'
Blurb: 'this is a little bit about me...' -> 'This Is A Little Bit About Me...'
Left: ' Left trim ' -> 'Left trim '
Right: ' Right trim ' -> ' Right trim'
Conform helps you fix and format user strings quickly, without writing functions.
If you do form processing with Gorilla Schema or similar, you probably shuttle user data into structs using tags. Adding a conform tag to your string field gives you “first pass” clean up against user input.
Use it for names, e-mail addresses, URL slugs, or any other form field where formatting matters.
Conform doesn't attempt any kind of validation on your fields. Check out govalidator for a slew of common validation funcs, or validator which is an uber-flexible Swiss Army knife for validating pretty much any kind of data you can imagine. Both have struct tag syntax and can be used with conform.
Grab the package from the command line with:
go get github.com/leebenson/conform
And import in the usual way in your Go app:
import "github.com/leebenson/conform"
Add a conform tag to your structs, for all of the string fields that you want Conform to transform. Add the name of the transform (known as the “tag”) in double quotes, and separate multiple tags with commas. Example: conform:"trim,lowercase"
To format in place, pass your struct pointer to conform.Strings.
Note: your struct will be edited in place. This will OVERWRITE any data that is already stored in your string fields.
Here's an example that formats e-mail addresses:
age main
rt (
"fmt"
"github.com/leebenson/conform"
UserForm struct {
Email string `conform:"email"`
main() {
input := UserForm{
Email: " POORLYFormaTTED@EXAMPlE.COM ",
}
conform.Strings(&input) // <-- pass in a pointer to your struct
fmt.Println(input.Email) // prints "poorlyformatted@example.com"
Just add a conform tag along with your Gorilla schema tags:
..
rt (
"net/http"
"github.com/gorilla/schema"
"github.com/leebenson/conform"
he struct that will be filled from the post request...
newUserForm struct {
FirstName string `schema:"firstName" conform:"name"`
Email string `schema:"emailAddress" conform:"email"`
Password string `schema:"password"` // <-- no tag? no change
Dob time.Time `schema:"dateOfBirth"` // <-- non-strings ignored by conform
rocessNewUser attempts to register a new user
ProcessNewUser(r *http.Request) error {
form := new(newUserForm)
schema.NewDecoder().Decode(form, r.PostForm) // <-- Gorilla Schema
conform.Strings(form) // <-- Conform. Pass in the same pointer that Schema used
// ...
TTP handlers, etc...
See the public API / exported methods on Godoc.
You can use multiple tags in the format of conform:"tag1,tag2"
Trims leading and trailing spaces. Example: " string " -> "string"
Trims leading spaces only. Example: " string " -> "string "
Trims trailing spaces only. Example: " string " -> " string"
Converts string to lowercase. Example: "STRING" -> "string"
Converts string to uppercase. Example: "string" -> "STRING"
Converts string to Title Case, e.g. "this is a sentence" -> "This Is A Sentence"
Converts to camel case via stringUp, Example provided by library: this is it => thisIsIt, this\_is\_it => thisIsIt, this-is-it => thisIsIt
Converts to snake_case. Example: "CamelCase" -> "camel_case", "regular string" -> "regular_string"
Special thanks to snaker for inspiration (credited in license)
Turns strings into slugs. Example: "CamelCase" -> "camel-case", "blog title here" -> "blog-title-here"
Uppercases first character. Example: "all lower" -> "All lower"
Trims, strips numbers and special characters (except dashes and spaces separating names), converts multiple spaces and dashes to single characters, title cases multiple names. Example: "3493?848Jo-s$%£@Ann " -> "Jo-Ann", " ~~ The Dude ~~" -> "The Dude", "**susan**" -> "Susan", " hugh fearnley-whittingstall" -> "Hugh Fearnley-Whittingstall"
Trims and lowercases the string. Example: "UNSIGHTLY-EMAIL@EXamPLE.com " -> "unsightly-email@example.com"
Removes all non-numeric characters. Example: "the price is ?30,38" -> "3038"
Note: The struct field will remain a string. No type conversion takes place.
Removes all numbers. Example "39472349D34a34v69e8932747" -> "Dave"
Removes non-alpha unicode characters. Example: "!@£$%^&'()Hello 1234567890 World+[];\" -> "HelloWorld"
Removes alpha unicode characters. Example: "Everything's here but the letters!" -> "' !"