Struct Learning 

pub struct Learning {
    pub learning_id: LearningId,
    pub observation_id: ObservationId,
    pub learning_type: LearningType,
    pub content: String,
    pub abstraction_level: AbstractionLevel,
    pub applicability: Option<String>,
    pub confidence: f32,
    pub created_at: Timestamp,
}

A learning extracted from an observation.

Fields

learning_id: LearningId

Unique identifier for this learning

observation_id: ObservationId

Observation this came from

learning_type: LearningType

Type of learning

content: String

Content of the learning

abstraction_level: AbstractionLevel

Level of abstraction

applicability: Option<String>

Where this learning applies

confidence: f32

Confidence in this learning

created_at: Timestamp

When this was learned

Implementations

impl Learning

pub fn new( observation_id: ObservationId, learning_type: LearningType, content: impl Into<String>, ) -> Self

Create a new learning.

pub fn with_abstraction(self, level: AbstractionLevel) -> Self

Set abstraction level.

pub fn with_applicability(self, applicability: impl Into<String>) -> Self

Set applicability.

pub fn with_confidence(self, confidence: f32) -> Self

Set confidence.

Trait Implementations

impl Clone for Learning

fn clone(&self) -> Learning

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ComposeSchema for Learning

fn compose(generics: Vec<RefOr<Schema>>) -> RefOr<Schema>

impl Debug for Learning

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Learning

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Learning

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Learning

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl ToSchema for Learning

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

Return name of the schema.

fn schemas(schemas: &mut Vec<(String, RefOr<Schema>)>)

Implement reference [utoipa::openapi::schema::Schema]s for this type.

impl StructuralPartialEq for Learning