use crate::Result;
#[derive(Clone, Debug)]
pub struct LanguageService<T>
where
T: super::stub::LanguageService + std::fmt::Debug + Send + Sync,
{
inner: T,
duration: gaxi::observability::DurationMetric,
}
impl<T> LanguageService<T>
where
T: super::stub::LanguageService + std::fmt::Debug + Send + Sync,
{
pub fn new(inner: T) -> Self {
Self {
inner,
duration: gaxi::observability::DurationMetric::new(&info::INSTRUMENTATION_CLIENT_INFO),
}
}
}
impl<T> super::stub::LanguageService for LanguageService<T>
where
T: super::stub::LanguageService + std::fmt::Debug + Send + Sync,
{
#[tracing::instrument(level = tracing::Level::DEBUG, ret)]
async fn analyze_sentiment(
&self,
req: crate::model::AnalyzeSentimentRequest,
options: crate::RequestOptions,
) -> Result<crate::Response<crate::model::AnalyzeSentimentResponse>> {
let (_span, pending) = gaxi::client_request_signals!(
metric: self.duration.clone(),
info: *info::INSTRUMENTATION_CLIENT_INFO,
method: "client::LanguageService::analyze_sentiment",
self.inner.analyze_sentiment(req, options));
pending.await
}
#[tracing::instrument(level = tracing::Level::DEBUG, ret)]
async fn analyze_entities(
&self,
req: crate::model::AnalyzeEntitiesRequest,
options: crate::RequestOptions,
) -> Result<crate::Response<crate::model::AnalyzeEntitiesResponse>> {
let (_span, pending) = gaxi::client_request_signals!(
metric: self.duration.clone(),
info: *info::INSTRUMENTATION_CLIENT_INFO,
method: "client::LanguageService::analyze_entities",
self.inner.analyze_entities(req, options));
pending.await
}
#[tracing::instrument(level = tracing::Level::DEBUG, ret)]
async fn classify_text(
&self,
req: crate::model::ClassifyTextRequest,
options: crate::RequestOptions,
) -> Result<crate::Response<crate::model::ClassifyTextResponse>> {
let (_span, pending) = gaxi::client_request_signals!(
metric: self.duration.clone(),
info: *info::INSTRUMENTATION_CLIENT_INFO,
method: "client::LanguageService::classify_text",
self.inner.classify_text(req, options));
pending.await
}
#[tracing::instrument(level = tracing::Level::DEBUG, ret)]
async fn moderate_text(
&self,
req: crate::model::ModerateTextRequest,
options: crate::RequestOptions,
) -> Result<crate::Response<crate::model::ModerateTextResponse>> {
let (_span, pending) = gaxi::client_request_signals!(
metric: self.duration.clone(),
info: *info::INSTRUMENTATION_CLIENT_INFO,
method: "client::LanguageService::moderate_text",
self.inner.moderate_text(req, options));
pending.await
}
#[tracing::instrument(level = tracing::Level::DEBUG, ret)]
async fn annotate_text(
&self,
req: crate::model::AnnotateTextRequest,
options: crate::RequestOptions,
) -> Result<crate::Response<crate::model::AnnotateTextResponse>> {
let (_span, pending) = gaxi::client_request_signals!(
metric: self.duration.clone(),
info: *info::INSTRUMENTATION_CLIENT_INFO,
method: "client::LanguageService::annotate_text",
self.inner.annotate_text(req, options));
pending.await
}
}
pub(crate) mod info {
const NAME: &str = env!("CARGO_PKG_NAME");
const VERSION: &str = env!("CARGO_PKG_VERSION");
pub(crate) static INSTRUMENTATION_CLIENT_INFO: std::sync::LazyLock<
gaxi::options::InstrumentationClientInfo,
> = std::sync::LazyLock::new(|| {
let mut info = gaxi::options::InstrumentationClientInfo::default();
info.service_name = "language";
info.client_version = VERSION;
info.client_artifact = NAME;
info.default_host = "language";
info
});
}