Struct Learning 

pub struct Learning {
    pub id: LearningId,
    pub agent: AgentName,
    pub text: String,
    pub impact: Impact,
    pub state: State,
    pub proposals: u32,
    pub runs_left: u32,
    pub first_at: Timestamp,
    pub last_at: Timestamp,
}

A proposal that has been taken up, with its history.

Fields

id: LearningId

Identifier.

agent: AgentName

The agent this applies to. Learnings do not cross agents.

text: String

The insight.

impact: Impact

The agent’s own rating, for triage.

state: State

Where it is in its life.

proposals: u32

How many times this insight has been proposed: one for the original discovery, plus one for each independent rediscovery after a lapse. Echoes never count.

runs_left: u32

Runs left before it lapses. Meaningless unless State::Provisional.

first_at: Timestamp

When it was first proposed.

last_at: Timestamp

When it was most recently proposed.

Implementations

impl Learning

pub fn from_proposal(proposal: &Proposal) -> Self

Takes up a proposal for the first time.

pub fn is_active(&self) -> bool

Returns true when this learning is currently given to runs.

pub fn matches(&self, text: &str) -> bool

Returns true when this says the same thing as text.

Trait Implementations

impl Clone for Learning

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 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: &Self) -> bool

Equality operator ==.

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

Inequality operator !=.

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 StructuralPartialEq for Learning