Struct Entry 

pub struct Entry {
    pub id: String,
    pub kanji: Vec<KanjiEntry>,
    pub kana: Vec<KanaEntry>,
    pub sense: Vec<SenseEntry>,
}

Fields

id: String

kanji: Vec<KanjiEntry>

kana: Vec<KanaEntry>

sense: Vec<SenseEntry>

Implementations

impl Entry

pub fn primary_kanji(&self) -> Option<&str>

The first kanji writing, if any. Many entries (kana-only words, names) have no kanji form, so callers should not assume kanji[0] exists.

pub fn primary_kana(&self) -> Option<&str>

The first kana reading. Every JMdict entry has at least one kana reading, but the field is technically a Vec, so this returns Option to stay honest about the data model.

pub fn headword(&self) -> Option<&str>

The preferred headword for display: kanji if present, otherwise kana.

pub fn is_common(&self) -> bool

true if any kanji or kana form is marked common by JMdict.

pub fn glosses<'a>( &'a self, lang: &'a str, ) -> impl Iterator<Item = &'a str> + 'a

Iterate over every gloss matching lang (e.g. "eng"), across all senses.

pub fn parts_of_speech(&self) -> Vec<&str>

Every distinct part-of-speech tag across all senses, preserving first-seen order.

Trait Implementations

impl Clone for Entry

fn clone(&self) -> Entry

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Entry

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Entry

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.