9 stable releases
1.4.0 | Mar 11, 2024 |
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1.3.0 | Jan 3, 2024 |
1.2.0 | Dec 27, 2023 |
1.0.12 | Oct 7, 2023 |
1.0.11 | Apr 26, 2023 |
#2 in #validify
650 downloads per month
Used in 3 crates
(via validify)
155KB
3.5K
SLoC
Validify
Procedural macros that provide attributes for data validation and modification. Particularly useful in the context of web payloads.
Modifiers
Modifier | Type | Description |
---|---|---|
trim* | String | Removes surrounding whitespace |
uppercase* | String | Calls .to_uppercase() |
lowercase* | String | Calls .to_lowercase() |
capitalize* | String | Makes the first char of the string uppercase |
custom | Any | Takes a function whose argument is &mut <Type> |
validify | impl Validify / impl Iterator<Item = impl Validify> | Can only be used on fields that are structs (or collections of) implementing the Validify trait. Runs all the nested struct's modifiers and validations. |
*Also works for Vec<String> by running the modifier on each element.
Validators
All validators also take in a code
and message
as parameters, their values are must be string literals if specified.
Validator | Type | Params | Param type | Description |
---|---|---|---|---|
String | -- | -- | Checks emails based on this spec. | |
ip | String | format | Ident (v4/v6) | Checks if the string is an IP address. |
url | String | -- | -- | Checks if the string is a URL. |
length | Collection | min, max, equal | LitInt | Checks if the collection length is within the specified params. Works through the HasLen trait. |
range | Int/Float | min, max | LitFloat | Checks if the value is in the specified range. |
must_match | Any | value | Ident | Checks if the field matches another field of the struct. The value must be equal to a field identifier on the deriving struct. |
contains | Collection | value | Lit/Path | Checks if the collection contains the specified value. If used on a K,V collection, it checks whether it has the provided key. |
contains_not | Collection | value | Lit/Path | Checks if the collection doesn't contain the specified value. If used on a K,V collection, it checks whether it has the provided key. |
non_control_char | String | -- | -- | Checks if the field contains control characters |
custom | Function | function | Path | Executes custom validation on the field by calling the provided function |
regex | String | path | Path | Matches the provided regex against the field. Intended to be used with lazy_static by providing a path to an initialised regex. |
credit_card | String | -- | -- | Checks if the field's value is a valid credit card number |
phone | String | -- | -- | Checks if the field's value is a valid phone number |
required | Option<T> | -- | -- | Checks whether the field's value is Some |
is_in | impl PartialEq | collection | Path | Checks whether the field's value is in the specified collection |
not_in | impl PartialEq | collection | Path | Checks whether the field's value is not in the specified collection |
validate | impl Validate | -- | -- | Calls the underlying struct's validate implementation |
iter | impl Iterator | List of validators | Validator | Runs the provided validators on each element of the iterable |
time | NaiveDate[Time] | See below | See below | Performs a check based on the specified op |
Time operators
All time operators may take in inclusive = bool
.
All time operator must take in time = bool
when validating datetimes, by default time validators will attempt to validate dates.
in_period
and the *_from_now
operators are inclusive by default.
The target
param must be a string literal date or a path to an argless function that returns a date[time].
If the target is a string literal, it must contain a format
param, as per this.
Accepted interval parameters are seconds
, minutes
, hours
, days
, weeks
.
The _from_now
operators should not use negative duration due to how they validate the inputs,
negative duration for in_period
works fine.
Op | Params | Description |
---|---|---|
before | target | Check whether a date[time] is before the target one |
after | target | Check whether a date[time] is after the target one |
before_now | -- | Check whether a date[time] is before today[now] |
after_now | -- | Check whether a date[time] is after today[now] |
before_from_now | interval | Check whether a date[time] is before the specified interval from today[now] |
after_from_now | interval | Check whether a date[time] is after the specified interval from the today[now] |
in_period | target, interval | Check whether a date[time] falls within a certain period |
Annotate the struct you want to modify and validate with the Validify
attribute (if you do not need the payload or modification, derive validify::Validate
):
use validify::Validify;
#[derive(Debug, Clone, serde::Deserialize, Validify)]
struct Testor {
#[modify(lowercase, trim)]
#[validate(length(equal = 8))]
pub a: String,
#[modify(trim, uppercase)]
pub b: Option<String>,
#[modify(custom(do_something))]
pub c: String,
#[modify(custom(do_something))]
pub d: Option<String>,
#[validify]
pub nested: Nestor,
}
#[derive(Debug, Clone, serde::Deserialize, Validify)]
struct Nestor {
#[modify(trim, uppercase)]
#[validate(length(equal = 12))]
a: String,
#[modify(capitalize)]
#[validate(length(equal = 14))]
b: String,
}
fn do_something(input: &mut String) {
*input = String::from("modified");
}
let mut test = Testor {
a: " LOWER ME ".to_string(),
b: Some(" makemeshout ".to_string()),
c: "I'll never be the same".to_string(),
d: Some("Me neither".to_string()),
nested: Nestor {
a: " notsotinynow ".to_string(),
b: "capitalize me.".to_string(),
},
};
// The magic line
let res = test.validify();
assert!(matches!(res, Ok(_)));
// Parent
assert_eq!(test.a, "lower me");
assert_eq!(test.b, Some("MAKEMESHOUT".to_string()));
assert_eq!(test.c, "modified");
assert_eq!(test.d, Some("modified".to_string()));
// Nested
assert_eq!(test.nested.a, "NOTSOTINYNOW");
assert_eq!(test.nested.b, "Capitalize me.");
Notice how even though field d
is an option, the function used to modify the field still takes in &mut String
. This is because modifiers and validations are only executed when the field isn't None
.
Traits
Validify is built around 3 simple traits:
- Validate
- Modify
- Validify
These traits should theoretically never have to be implemented manually.
As their names suggest, the first two traits perform validation and modification, while the third combines those 2 actions into a single one - validify
.
The traits contain a single function which is constructed based on struct annotations when deriving them.
Payload
Structs annotated with #[derive(Payload)]
get an associated payload struct, e.g.
#[derive(validify::Validify, validify::Payload)]
struct Something {
a: usize,
b: String,
c: Option<bool>
}
behind the scenes will generate an intermediary
#[derive(Debug, Clone, serde::Deserialize, validify::Validate)]
struct SomethingPayload {
#[validate(required)]
a: Option<usize>,
#[validate(required)]
b: Option<String>,
c: Option<bool>,
/* From and Into impls */
}
The motivation for this is to aid in deserializing potentially missing fields. Even though the payload struct cannot help with deserializing wrong types, it can still prove useful and provide a bit more meaningful error messages when fields are missing.
The original struct gets a ValidifyPayload
implementation with 2 associated fns: validate_from
and validify_from
whose whose respective arguments are the generated payload.
The ValidifyPayload
implementations first validate the required fields of the payload. Then, if any required fields are missing, no further modification/validation is done and the errors are returned. Next, the payload is transformed to the original struct and modifications and/or validations are run on it.
When a struct contains nested validifies (child structs annotated with #[validify]
), all the children in the payload will also be transformed and validated as payloads first. This means that any nested structs must also derive Payload
.
The payload and serde
Struct level attributes, such as rename_all
are propagated to the payload. When attributes that modify field names are present, any field names in returned errors will be represented as the original (i.e. client payload).
There are a few special serde attributes that validify treats differently; rename
, with
and deserialize_with
.
It is highly advised these attributes are kept in a separate annotation from any other serde attributes, due to the way
they are parsed for the payload.
The rename
attribute is used by validify to set the field name in any errors during validation. The with
and deserialize_with
will be transfered to the payload field and will create a special deserialization function that will call the original and wrap the result in an option. If the custom deserializer already returns an option, it will do nothing.
Schema validation
Schema level validation can be performed using the following:
use validify::{Validify, ValidationErrors, schema_validation, schema_err};
#[derive(validify::Validify)]
#[validate(validate_testor)]
struct Testor {
a: String,
b: usize,
}
#[schema_validation]
fn validate_testor(t: &Testor) -> Result<(), ValidationErrors> {
if t.a.as_str() == "yolo" && t.b < 2 {
schema_err!("Invalid Yolo", "Cannot yolo with b < 2");
}
}
The #[schema_validation]
proc macro expands the function to:
fn validate_testor(t: &Testor) -> Result<(), ValidationErrors> {
let mut errors = ValidationErrors::new();
if t.a == "yolo" && t.b < 2 {
errors.add(ValidationError::new_schema("Invalid Yolo").with_message("Cannot yolo with b < 2".to_string()));
}
if errors.is_empty() { Ok(()) } else { Err(errors) }
}
This makes schema validations a bit more ergonomic and concise. Like field level validation, schema level validation is performed after modification.
Errors
The main ValidationError is an enum with 2 variants, Field and Schema. Field errors are, as the name suggests, created when fields fail validation and are usually automatically generated unless using custom handlers (custom field validation functions always must return a result whose Err variant is ValidationError).
If you want to provide a message along with the error, you can directly specify it in the attribute (the same goes for the code), for example:
#[validate(contains(value = "something", message = "Does not contain something", code = "MUST_CONTAIN"))]
Keep in mind, when specifying validations this way, all attribute parameters MUST be specified as NameValue pairs. This means that if you write
#[validate(contains("something", message = "Bla"))]
,
you will get an error because the parser expects either a single value or multiple name value pairs.
The field_err!
macro provides a shorthand for creating field errors when using custom functions.
Location
Locations are tracked for each error in a similar manner to JSON pointers. When using custom validation, whatever field name you specify in the returned error will be used in the location for that field. Keep in mind locations are not reliable when dealing with hashed map/set collections as the item ordering for those is not guaranteed.
Error location display will depend on the original client payload, i.e. they will be displayed in the original case the payload was received (e.g. when using serde's rename_all
). Any overriden field names will be displayed as such.
Schema
Schema errors are usually created by the user in schema validation. The schema_err!
macro alongside #[schema_validation]
provides an ergonomic way to create schema errors. All errors are composed to a ValidationErrors
struct which contains a vec of all the validation errors.
Params
When sensible, validify automatically appends failing parameters and the target values they were validated against to the errors created to provide more clarity to the client and to save some manual work.
One parameter that is always appended is the actual
field which represents the value of the violating field's target property during the validation. Some validators append additional data to the errors representing the expected values for the field.
Examples
Date[times]s
use chrono::{NaiveDate, NaiveDateTime};
#[derive(Debug, validify::Validate)]
struct DateTimeExamples {
#[validate(time(op = before, target = "2500-04-20", format = "%Y-%m-%d", inclusive = true))]
before: NaiveDate,
#[validate(time(op = before, target = "2500-04-20T12:00:00.000", format = "%Y-%m-%-dT%H:%M:%S%.3f"))]
before_dt: NaiveDateTime,
#[validate(time(op = after, target = "2022-04-20", format = "%Y-%m-%d"))]
after: NaiveDate,
#[validate(time(op = after, target = "2022-04-20T12:00:00.000", format = "%Y-%m-%-dT%H:%M:%S%.3f"))]
after_dt: NaiveDateTime,
#[validate(time(op = in_period, target = "2022-04-20", format = "%Y-%m-%d", weeks = -2))]
period: NaiveDate,
}
With route handler
use validify::{Validify, Payload, ValidifyPayload};
#[derive(Debug, Validify, Payload)]
struct JsonTest {
#[modify(lowercase)]
a: String,
#[modify(trim, uppercase)]
#[validate(length(equal = 11))]
b: String,
}
// This would normally come from a framework
struct Json<T>(T);
fn test() {
let jt = JsonTest {
a: "MODIFIED".to_string(),
b: " makemeshout ".to_string(),
};
let json = Json(JsonTestPayload::from(jt));
mock_handler(json)
}
fn mock_handler(data: Json<JsonTestPayload>) {
let data = data.0;
let data = JsonTest::validify_from(data.into()).unwrap();
mock_service(data);
}
fn mock_service(data: JsonTest) {
assert_eq!(data.a, "modified".to_string());
assert_eq!(data.b, "MAKEMESHOUT".to_string())
}
See more examples in the test directory
Contributing
If you have any ideas on how to improve Validify, such as common validations you find useful or better error messages, do not hesitate to open an issue or PR. All ideas are welcome!
Dependencies
~3.5–5MB
~90K SLoC