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use std::{collections::BTreeMap, fmt::Display, time::Duration};
use crate::util;
use cached::proc_macro::io_cached;
use deepl::DeepLApi;
use deepl::ModelType;
use relm4::prelude::*;
use crate::{
settings::Settings,
subtitles::{SUBTITLE_TRACKS, StreamIndex},
translation::TRANSLATIONS,
};
pub struct DeeplTranslator {
stream_ix: Option<StreamIndex>,
next_cues_to_translate: BTreeMap<StreamIndex, usize>,
}
#[derive(Debug)]
pub enum DeeplTranslatorMsg {
SelectTrack(Option<StreamIndex>),
// this is only used to drive the async translation
DoTranslate,
}
impl AsyncComponent for DeeplTranslator {
type Init = ();
type Input = DeeplTranslatorMsg;
type Output = ();
type CommandOutput = ();
type Root = ();
type Widgets = ();
async fn init(
_init: Self::Init,
_root: Self::Root,
sender: relm4::AsyncComponentSender<Self>,
) -> AsyncComponentParts<Self> {
let model = Self {
stream_ix: None,
next_cues_to_translate: BTreeMap::new(),
};
sender.input(DeeplTranslatorMsg::DoTranslate);
AsyncComponentParts { model, widgets: () }
}
async fn update(
&mut self,
message: Self::Input,
sender: AsyncComponentSender<Self>,
_root: &Self::Root,
) {
match message {
DeeplTranslatorMsg::SelectTrack(stream_ix) => {
self.stream_ix = stream_ix;
}
DeeplTranslatorMsg::DoTranslate => self.do_translate(sender).await,
}
}
fn init_root() -> Self::Root {
()
}
}
impl DeeplTranslator {
async fn do_translate(&mut self, sender: AsyncComponentSender<Self>) {
if let Some(stream_ix) = self.stream_ix {
let next_cue_to_translate = self.next_cues_to_translate.entry(stream_ix).or_insert(0);
while let Some(cue) = {
SUBTITLE_TRACKS
.read()
.get(&stream_ix)
.and_then(|stream| stream.texts.get(*next_cue_to_translate))
.cloned()
} {
match translate_text(TranslateRequest {
input: cue.clone(),
source_lang: None, // TODO
target_lang: deepl::Lang::EN, // TODO
})
.await
{
Ok(translated) => {
TRANSLATIONS
.write()
.entry(stream_ix)
.or_insert(Vec::new())
.push(translated);
*next_cue_to_translate = *next_cue_to_translate + 1;
}
Err(e) => {
log::error!("error fetching translation: {}", e)
}
};
}
}
// check every second for new cues to be translated
relm4::tokio::time::sleep(Duration::from_secs(1)).await;
sender.input(DeeplTranslatorMsg::DoTranslate);
}
}
#[derive(Clone)]
struct TranslateRequest {
input: String,
source_lang: Option<deepl::Lang>,
target_lang: deepl::Lang,
}
impl Display for TranslateRequest {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{:?}-{}:{}",
self.source_lang, self.target_lang, self.input
)
}
}
#[io_cached(
disk = true,
create = r#"{ util::make_cache("deepl_translations") }"#,
map_error = r#"|err| err"#
)]
async fn translate_text(req: TranslateRequest) -> anyhow::Result<String> {
let deepl = DeepLApi::with(&Settings::default().deepl_api_key()).new();
let mut requester = deepl.translate_text(req.input, req.target_lang);
requester.model_type(ModelType::PreferQualityOptimized);
if let Some(source_lang) = req.source_lang {
requester.source_lang(source_lang);
}
let translated = requester.await?.translations.pop().unwrap().text;
// try to respect deepl's rate-limit
relm4::tokio::time::sleep(Duration::from_millis(500)).await;
Ok(translated)
}
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