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Trims, sanitizes & scrubs data based on struct tags (go, golang)

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Conform- keep user input in check (go, golang)

Trim, sanitize, and modify struct string fields in place, based on tags.

Update Jan 12, 2016 -- Now also works with embedded structs

Turns this...

type 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"`
}

p1 := 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...

p2 := p1 // <-- copy the Person struct into a new one, to see the difference
conform.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'
*/

Why?

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.

How to use

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:

package main

import (
		"fmt"
		"github.com/leebenson/conform"
)

type UserForm struct {
	Email string `conform:"email"`
}

func 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"
}

Using with Gorilla Schema

Just add a conform tag along with your Gorilla schema tags:

// ...

import (
	"net/http"

	"github.com/gorilla/schema"
	"github.com/leebenson/conform"
)

// the struct that will be filled from the post request...
type 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
}

// ProcessNewUser attempts to register a new user
func 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
	// ...
}

// HTTP handlers, etc...

Godoc

See the public API / exported methods on Godoc.

Tags

You can use multiple tags in the format of conform:"tag1,tag2"

trim


Trims leading and trailing spaces. Example: " string " -> "string"

ltrim


Trims leading spaces only. Example: " string " -> "string "

rtrim


Trims trailing spaces only. Example: " string " -> " string"

lower


Converts string to lowercase. Example: "STRING" -> "string"

upper


Converts string to uppercase. Example: "string" -> "STRING"

title


Converts string to Title Case, e.g. "this is a sentence" -> "This Is A Sentence"

camel


Converts to camel case via stringUp, Example provided by library: this is it => thisIsIt, this\_is\_it => thisIsIt, this-is-it => thisIsIt

snake


Converts to snake_case. Example: "CamelCase" -> "camel_case", "regular string" -> "regular_string" Special thanks to snaker for inspiration (credited in license)

slug


Turns strings into slugs. Example: "CamelCase" -> "camel-case", "blog title here" -> "blog-title-here"

ucfirst


Uppercases first character. Example: "all lower" -> "All lower"

name


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"

email


Trims and lowercases the string. Example: "UNSIGHTLY-EMAIL@EXamPLE.com " -> "unsightly-email@example.com"

num


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.

!num


Removes all numbers. Example "39472349D34a34v69e8932747" -> "Dave"

alpha


Removes non-alpha unicode characters. Example: "!@£$%^&'()Hello 1234567890 World+[];\" -> "HelloWorld"

!alpha


Removes alpha unicode characters. Example: "Everything's here but the letters!" -> "' !"

LICENSE

MIT

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