dataval - v1.0.2

dataval/validator

Values

float_max

</> 
pub fn float_max(
  max: Float,
) -> fn(Float) -> Result(Float, List(field.FieldError(custom)))

Validate that value <= max

float_min

</> 
pub fn float_min(
  min: Float,
) -> fn(Float) -> Result(Float, List(field.FieldError(custom)))

Validate that value >= min

int_max

</> 
pub fn int_max(
  max: Int,
) -> fn(Int) -> Result(Int, List(field.FieldError(custom)))

Validate that value <= max

int_min

</> 
pub fn int_min(
  min: Int,
) -> fn(Int) -> Result(Int, List(field.FieldError(custom)))

Validate that value >= min

not_empty

</> 
pub fn not_empty(
  value: String,
) -> Result(String, List(field.FieldError(custom)))

Validate that the value is not an empty string

Same as required()

regexp_check

</> 
pub fn regexp_check(
  re: regexp.Regexp,
) -> fn(String) -> Result(String, List(field.FieldError(custom)))

Validate that the passed regexp has a match in the value. It uses regexp.check(re, value)

Example

let assert Ok(alphanum_regexp) = regexp.from_string("^[a-zA-Z0-9]+$")

let my_input =
  field.new("my_input")
  |> field.add_validator(validator.regexp_check(alphanum_regexp))

let assert Error([field.MustMatchRegexp]) = field.validate(my_input, "abc$def")

let assert Ok("abc123") = field.validate(my_input, "abc123")

required

</> 
pub fn required(
  value: String,
) -> Result(String, List(field.FieldError(custom)))

Validate that the value is not an empty string

Same as not_empty()

str_max

</> 
pub fn str_max(
  max: Int,
) -> fn(String) -> Result(String, List(field.FieldError(custom)))

Validate that string.length(value) <= max

str_min

</> 
pub fn str_min(
  min: Int,
) -> fn(String) -> Result(String, List(field.FieldError(custom)))

Validate that string.length(value) >= min

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