use crate::app::ArticleView;
use anyhow::Result;
use feedsignal_core::{ReadingEvent, ReadingOutcome};
use feedsignal_db::Db;
use feedsignal_llm::Llm;
use std::sync::Arc;
use tokio::sync::OnceCell;
use uuid::Uuid;

pub mod pipeline;

pub fn init_tracing() {
    tracing_subscriber::fmt::init();
}

static BACKGROUND_JOBS: OnceCell<()> = OnceCell::const_new();

/// Lazily starts the feed-polling/scoring scheduler on first use. Deferred
/// rather than started at process boot because `dioxus_server::launch_cfg`
/// owns the tokio runtime construction — this runs the first time a server
/// function executes, which is guaranteed to already be inside that runtime.
async fn ensure_background_jobs_started(db: Arc<Db>) {
    BACKGROUND_JOBS
        .get_or_init(|| async {
            // TODO: move base_url/model names to config/env once there's a
            // settings story; hardcoded to models already pulled locally.
            let llm = Arc::new(
                Llm::new(
                    "http://localhost:11434",
                    "nomic-embed-text",
                    768,
                    "gemma4-e4b",
                )
                .expect("failed to construct ollama client"),
            );
            if let Err(err) = pipeline::start_scheduler(db, llm).await {
                tracing::error!(?err, "failed to start background job scheduler");
            }
        })
        .await;
}

pub async fn db() -> Result<Db, dioxus::prelude::ServerFnError> {
    // TODO: hold this in a `OnceCell`/app-wide state instead of reconnecting
    // per request once the server-state story is wired up.
    let db = Db::connect("feedsignal.db")
        .await
        .map_err(|e| dioxus::prelude::ServerFnError::new(e.to_string()))?;
    ensure_background_jobs_started(Arc::new(db.clone())).await;
    Ok(db)
}

pub async fn list_ranked_articles_impl(db: Db) -> Result<Vec<ArticleView>> {
    Ok(db
        .list_ranked_articles(100)
        .await?
        .into_iter()
        .map(
            |(id, title, url, summary, topics, final_score)| ArticleView {
                id,
                title,
                url,
                summary,
                topics,
                final_score,
            },
        )
        .collect())
}

pub async fn mark_dismissed_impl(db: Db, article_id: String) -> Result<()> {
    let event = ReadingEvent {
        id: Uuid::new_v4(),
        article_id: Uuid::parse_str(&article_id)?,
        occurred_at: chrono::Utc::now(),
        outcome: ReadingOutcome::Dismissed,
    };
    db.record_event(&event).await?;
    // Affinity re-weighting from this event happens in the batched pipeline
    // job (see `pipeline::apply_pending_feedback`) rather than inline here,
    // so a burst of dismissals doesn't serialize on read-modify-write of
    // the single affinities row.
    Ok(())
}