Struct Classification 

pub struct Classification {
    pub label: String,
    pub description: Option<String>,
    pub fields: Vec<String>,
    pub field_pattern: Option<String>,
    pub value_detector: Option<Detector>,
}

Available on crate feature policy only.

One way a column earns a label: by exact name, by a regex over the column name, or by a value detector (run at run time over the real values, and statically over a sample when one is available).

Fields

label: String

The label this classification assigns (pii, finance, health, …).

description: Option<String>

fields: Vec<String>

Exact column names (top-level or dot-path) that carry the label.

field_pattern: Option<String>

Regex over the column’s dot-path; a match assigns the label.

value_detector: Option<Detector>

A value detector (email, credit_card, ssn, phone, ipv4): a column whose values look like the class carries the label. Reuses the masking detectors, so a masked column no longer matches.

Trait Implementations

impl Clone for Classification

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Classification

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Classification

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Classification

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for Classification

fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword.

impl PartialEq for Classification

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for Classification

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Classification