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use base_db::{MatchingAlgo, Workspace};
use fuzzy_matcher::skim::SkimMatcherV2;
use crate::{CompletionItem, CompletionResult};
use super::matchers::{self, Matcher};
pub struct CompletionBuilder<'a> {
pub matcher: Box<dyn Matcher>,
pub items: Vec<CompletionItem<'a>>,
}
impl<'a> From<&Workspace> for CompletionBuilder<'a> {
fn from(workspace: &Workspace) -> Self {
let matcher: Box<dyn Matcher> = match workspace.config().completion.matcher {
MatchingAlgo::Skim => Box::<SkimMatcherV2>::default(),
MatchingAlgo::SkimIgnoreCase => Box::new(SkimMatcherV2::default().ignore_case()),
MatchingAlgo::Prefix => Box::new(matchers::Prefix),
MatchingAlgo::PrefixIgnoreCase => Box::new(matchers::PrefixIgnoreCase),
};
Self {
matcher,
items: Vec::new(),
}
}
}
impl<'a> CompletionBuilder<'a> {
pub fn finish(mut self) -> CompletionResult<'a> {
self.items.sort_by(|a, b| {
b.preselect
.cmp(&a.preselect)
.then_with(|| b.score.cmp(&a.score))
.then_with(|| a.data.label().cmp(b.data.label()))
});
self.items.dedup_by(|a, b| a.data.label() == b.data.label());
self.items.truncate(crate::LIMIT);
let Self { items, .. } = self;
CompletionResult { items }
}
}
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