Struct Diagnosis 

pub struct Diagnosis {
    pub moments: Vec<String>,
    pub unresolved: Vec<String>,
    pub areas: Vec<Recommendation>,
    pub audiences: Vec<Recommendation>,
    pub capabilities: Vec<Recommendation>,
    pub commands: Vec<Recommendation>,
    pub claims: Vec<Recommendation>,
    pub doctrines: Vec<Recommendation>,
    pub use_cases: Vec<Recommendation>,
    pub also_worth_reading: Vec<String>,
}

What a reader’s selection implies, computed by counting rather than by inference.

The arithmetic is the whole model and is stated so a reader can check it: a selection resolves to a set of moments; an area or an audience scores the number of selected moments that name it; a recommendation scores the number that name it and carries their ids. There is no weighting and no percentage, because there is no model behind one.

Fields

moments: Vec<String>

The moments the selection resolved to, in presentation order.

unresolved: Vec<String>

Selected names that resolved to nothing.

areas: Vec<Recommendation>

Operational areas by how many selected moments fall under them, heaviest first.

audiences: Vec<Recommendation>

Audiences by how many selected moments they recognise, heaviest first.

capabilities: Vec<Recommendation>

Capabilities of the executable that answer the selected moments.

commands: Vec<Recommendation>

Commands that answer them.

claims: Vec<Recommendation>

Claims that say what is guaranteed.

doctrines: Vec<Recommendation>

Rules of the effective set that govern them.

use_cases: Vec<Recommendation>

Use cases that show the way out.

also_worth_reading: Vec<String>

Moments the selection did not include that share an area with one that it did.

Trait Implementations

impl Clone for Diagnosis

fn clone(&self) -> Diagnosis

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Diagnosis

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Diagnosis

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for Diagnosis

impl JsonSchema for Diagnosis

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 Diagnosis

fn eq(&self, other: &Diagnosis) -> 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 Diagnosis

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 Diagnosis