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ConformistSourceConformist is a library for creating and validating schemas. It provides run-time types without using any ppx. It can be used to validate incoming data and to translate it to static types for safe usage.
Let's start with an example. We have a static type that represents a user.
type gender = Male | Female | Other
type user = {
gender : gender;
email : string;
birthday : int * int * int;
nr_of_siblings : int;
comment : string option;
wants_premium : bool;
}In order to create a conformist schema, we need a constructor that takes all the record fields and create a user.
let user gender email birthday nr_of_siblings comment wants_premium
=
{
gender;
email;
birthday;
nr_of_siblings;
comment;
wants_premium;
}Now we can create a schema.
let gender_decoder = function
| "male" -> Ok Male
| "female" -> Ok Female
| "other" -> Ok Other
| _ -> Error "Unknown gender provided"
module C = Conformist
let user_schema =
C.make
C.Field.
[
C.custom "gender" gender_decoder ~meta:() ();
C.string "email" ();
C.date "birthday" ();
C.int "nr_of_siblings" ();
C.optional (C.string "comment" ());
C.bool "wants_premium" ();
]
userTry to delete/swap lines of that list, to change the constructor or the user type. The code doesn't compile anymore!
user_schema showcases the creation of a custom type and optional types.
This is how you can decode a user given some input:
let input =
[
("gender", [ "male" ]);
("email", [ "test@example.com" ]);
("birthday", [ "2020-12-01" ]);
("nr_of_siblings", [ "3" ]);
("comment", [ "hello" ]);
("wants_premium", [ "true" ]);
]
in
C.decode Schema.user_schema inputDecoding doesn't validate the data, it just makes sure that the types are correct and translates strings to the correct static types.
We can validate data based on our validator per field.
let input =
[
("gender", [ "male" ]);
("email", [ "test@example.com" ]);
("birthday", [ "2020-12-01" ]);
("nr_of_siblings", [ "3" ]);
("comment", [ "hello" ]);
("wants_premium", [ "true" ]);
]
in
C.validate Schema.user_schema inputNote that if decoding of a field fails, validation fails as well since before a field is validated it gets decoded.
Every member of the list in the example is a field. Use the provided fold_left to traverse the list of fiels. Helper functions are provided that operate on fields.
A 'a decoder tries to turn a string into a value of type 'a. It returns a descriptive errors message upon failure.
A 'a validator takes something of type 'a and returns an error string if validation fails, None if everything is ok
val custom :
string ->
'a decoder ->
?meta:'b ->
?validator:'a validator ->
unit ->
('b, 'a) Field.tUse custom field_name decoder ?meta ?validator () to create a field with a custom type that is not supported out-of-the box. Provide a custom decoder with a descriptive error message so conformist knows how to turn a string into your custom value.
Use optional ?meta field to turn any field into an optional value. Note that the field must still be contained in the final input (when decoding or validating), but it can be an empty list or an empty string. If the data is not provided in the input, no validation logic is executed.
bool name ?meta ?msg () creates a field with name some meta data and a custom decode error message msg that decodes to a boolean.
val float :
string ->
?meta:'a ->
?msg:string ->
?validator:float validator ->
unit ->
('a, float) Field.tfloat name ?meta ?msg ?validator () creates a field that decodes to a float with name some meta data, a custom decode error message msg and a validator.
val int :
string ->
?meta:'a ->
?msg:string ->
?validator:int validator ->
unit ->
('a, int) Field.tint name ?meta ?msg ?validator () creates a field that decodes to a int with name some meta data, a custom decode error message msg and a validator.
val string :
string ->
?meta:'a ->
?validator:string validator ->
unit ->
('a, string) Field.tstring name ?meta ?validator () creates a field that decodes to a string with name some meta data and a validator. Note that this field does not need to be decoded, but it can still be validated.
Valid date example: 2020-11-25, this type is compatible with Ptime.date
val date :
string ->
?meta:'a ->
?msg:string ->
?validator:(int * int * int) validator ->
unit ->
('a, date) Field.tstring name ?meta ?validator () creates a field that decodes to a date with name some meta data and a validator.
A schema is a list of fields. Input data can be decoded and validated using a schema.
t is a conformist schema.
make fields constructor create a schema.
An empty validation_error means that the schema is valid.
The input represents unsafe data that needs to be validated and decoded. This is typically some user input or other data that needs to be sanitization.
decode schema input tries to create a value of the static type 'ty. Note that a successfully decoded value means that the strings contain the expected types, but no validation logic was executed.
validate schema input runs the field validators on decoded data. Note that a field that fails to decode will also fail validation, but a decoded field might still fail validation.