feat(recommendations): content-based "Recommended for you" endpoint
Add GET /me/recommendations: rank mangas by weighted tag overlap with the user's taste — explicit like +1.0, bookmark +0.5, dislike −1.0 (reaction overrides bookmark). Per-tag affinities are summed, candidates scored by their tags' affinity normalized by tag count (anti-tag-stuffing, à la list_similar), with already-reacted/bookmarked/read mangas excluded and net-negative candidates dropped (dislike down-ranks, not browse-hides). Reuses manga_cols/cards_from_rows. Integration tests cover like-driven recs, dislike down-rank, bookmark half-weight ordering, seen-exclusion, empty cold-start, and auth. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2
backend/Cargo.lock
generated
2
backend/Cargo.lock
generated
@@ -1558,7 +1558,7 @@ checksum = "c41e0c4fef86961ac6d6f8a82609f55f31b05e4fce149ac5710e439df7619ba4"
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[[package]]
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name = "mangalord"
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version = "0.107.0"
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version = "0.108.0"
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dependencies = [
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"anyhow",
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"argon2",
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@@ -1,6 +1,6 @@
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[package]
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name = "mangalord"
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version = "0.107.0"
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version = "0.108.0"
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edition = "2021"
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default-run = "mangalord"
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@@ -22,6 +22,7 @@ pub fn routes() -> Router<AppState> {
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.route("/mangas", get(list).post(create))
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.route("/mangas/:id", get(get_one).patch(update))
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.route("/mangas/:id/similar", get(list_similar))
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.route("/me/recommendations", get(list_recommendations))
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.route("/mangas/:id/cover", put(put_cover).delete(delete_cover))
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.route("/mangas/:id/tags", post(attach_tag))
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.route("/mangas/:id/tags/:tag_id", delete(detach_tag))
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@@ -188,6 +189,28 @@ async fn list_similar(
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Ok(Json(json!({ "items": items })))
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}
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const RECOMMENDATIONS_LIMIT: i64 = 12;
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#[derive(Debug, Deserialize)]
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pub struct RecommendationParams {
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#[serde(default)]
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pub limit: Option<i64>,
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}
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/// `GET /api/v1/me/recommendations` — content-based "Recommended for you",
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/// ranked by tag overlap with the signed-in user's likes/bookmarks (minus
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/// dislikes). Returns `{ "items": [...] }` (a fixed top-N, like `/similar`);
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/// empty when the user has no taste signals yet.
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async fn list_recommendations(
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State(state): State<AppState>,
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CurrentUser(user): CurrentUser,
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Query(params): Query<RecommendationParams>,
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) -> AppResult<Json<serde_json::Value>> {
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let limit = params.limit.unwrap_or(RECOMMENDATIONS_LIMIT).clamp(1, 50);
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let items = repo::manga::list_recommendations(&state.db, user.id, limit).await?;
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Ok(Json(json!({ "items": items })))
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}
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/// `POST /api/v1/mangas` is multipart/form-data. Parts:
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///
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/// - `metadata` (required): JSON body matching `NewManga` — title, optional
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@@ -307,6 +307,73 @@ pub async fn list_similar(
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cards_from_rows(pool, rows).await
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}
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/// Content-based "Recommended for you": rank mangas by weighted tag overlap
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/// with the user's taste. Signals: explicit like = +1.0, bookmark = +0.5,
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/// dislike = -1.0 (a reaction overrides a bookmark on the same manga). Per
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/// tag we sum those weights into an affinity, then score each candidate by
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/// the sum of its tags' affinities, normalized by the candidate's tag count
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/// (same anti-tag-stuffing rationale as `list_similar`). Candidates the user
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/// already reacted to, bookmarked, or read are excluded; net-negative
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/// candidates (dominated by disliked-tag affinity) are dropped, so a dislike
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/// down-ranks rather than the manga being hidden from normal browse. No
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/// signals → empty. Reuses `cards_from_rows` for author/genre hydration.
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pub async fn list_recommendations(
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pool: &PgPool,
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user_id: Uuid,
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limit: i64,
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) -> AppResult<Vec<MangaCard>> {
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let sql = format!(
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r#"
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WITH signals AS (
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SELECT s.manga_id,
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CASE WHEN r.reaction = 'dislike' THEN -1.0
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WHEN r.reaction = 'like' THEN 1.0
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ELSE 0.5 END AS weight
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FROM (
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SELECT manga_id FROM manga_reactions WHERE user_id = $1
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UNION
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SELECT manga_id FROM bookmarks WHERE user_id = $1
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) s
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LEFT JOIN manga_reactions r
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ON r.user_id = $1 AND r.manga_id = s.manga_id
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),
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tag_affinity AS (
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SELECT mt.tag_id, SUM(sig.weight) AS affinity
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FROM signals sig
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JOIN manga_tags mt ON mt.manga_id = sig.manga_id
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GROUP BY mt.tag_id
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)
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SELECT {cols}
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FROM manga_tags cand
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JOIN tag_affinity ta ON ta.tag_id = cand.tag_id
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JOIN mangas m ON m.id = cand.manga_id
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WHERE cand.manga_id NOT IN (SELECT manga_id FROM signals)
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AND cand.manga_id NOT IN (
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SELECT manga_id FROM read_progress WHERE user_id = $1
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)
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GROUP BY m.id
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HAVING SUM(ta.affinity) > 0
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ORDER BY
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SUM(ta.affinity)
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/ (SELECT count(*) FROM manga_tags WHERE manga_id = m.id) DESC,
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SUM(ta.affinity) DESC,
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m.updated_at DESC,
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lower(m.title) ASC,
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m.id
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LIMIT $2
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"#,
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cols = manga_cols("m"),
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);
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let rows = sqlx::query_as::<_, Manga>(&sql)
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.bind(user_id)
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.bind(limit)
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.fetch_all(pool)
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.await?;
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cards_from_rows(pool, rows).await
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}
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/// Hydrate a batch of `Manga` rows into `MangaCard`s by attaching their
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/// authors and genres in two batched round-trips. The input order is
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/// preserved (callers rely on this to keep list/ranking order), so we
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182
backend/tests/api_recommendations.rs
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182
backend/tests/api_recommendations.rs
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@@ -0,0 +1,182 @@
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mod common;
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use axum::http::StatusCode;
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use serde_json::json;
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use sqlx::PgPool;
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use tower::ServiceExt;
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use uuid::Uuid;
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async fn attach_tag(app: &axum::Router, cookie: &str, manga_id: Uuid, name: &str) {
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let resp = app
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.clone()
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.oneshot(common::post_json_with_cookie(
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&format!("/api/v1/mangas/{manga_id}/tags"),
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json!({ "name": name }),
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cookie,
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))
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.await
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.unwrap();
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assert!(resp.status().is_success(), "attach_tag: {}", resp.status());
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}
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async fn set_reaction(app: &axum::Router, cookie: &str, manga_id: Uuid, reaction: &str) {
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let resp = app
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.clone()
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.oneshot(common::put_json_with_cookie(
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&format!("/api/v1/mangas/{manga_id}/reaction"),
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json!({ "reaction": reaction }),
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cookie,
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))
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.await
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.unwrap();
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assert_eq!(resp.status(), StatusCode::OK);
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}
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async fn bookmark(app: &axum::Router, cookie: &str, manga_id: Uuid) {
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let resp = app
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.clone()
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.oneshot(common::post_json_with_cookie(
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"/api/v1/bookmarks",
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json!({ "manga_id": manga_id.to_string() }),
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cookie,
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))
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.await
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.unwrap();
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assert_eq!(resp.status(), StatusCode::CREATED);
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}
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async fn mark_read(app: &axum::Router, cookie: &str, manga_id: Uuid) {
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let resp = app
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.clone()
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.oneshot(common::put_json_with_cookie(
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"/api/v1/me/read-progress",
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json!({ "manga_id": manga_id.to_string(), "page": 1 }),
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cookie,
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))
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.await
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.unwrap();
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assert_eq!(resp.status(), StatusCode::OK);
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}
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/// Recommended manga titles, in ranked order.
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async fn recommend(app: &axum::Router, cookie: &str) -> Vec<String> {
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let resp = app
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.clone()
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.oneshot(common::get_with_cookie("/api/v1/me/recommendations", cookie))
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.await
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.unwrap();
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assert_eq!(resp.status(), StatusCode::OK);
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let body = common::body_json(resp).await;
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body["items"]
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.as_array()
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.unwrap()
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.iter()
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.map(|m| m["title"].as_str().unwrap().to_string())
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.collect()
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}
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#[sqlx::test(migrations = "./migrations")]
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async fn likes_drive_recommendations(pool: PgPool) {
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let h = common::harness(pool);
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let (_, cookie) = common::register_user(&h.app).await;
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let liked = common::seed_manga_via_api(&h.app, &cookie, "Liked").await;
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let similar = common::seed_manga_via_api(&h.app, &cookie, "Similar").await;
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let unrelated = common::seed_manga_via_api(&h.app, &cookie, "Unrelated").await;
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attach_tag(&h.app, &cookie, liked, "action").await;
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attach_tag(&h.app, &cookie, similar, "action").await;
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attach_tag(&h.app, &cookie, unrelated, "sports").await;
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set_reaction(&h.app, &cookie, liked, "like").await;
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let recs = recommend(&h.app, &cookie).await;
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assert!(recs.contains(&"Similar".to_string()), "recs: {recs:?}");
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assert!(!recs.contains(&"Unrelated".to_string()), "recs: {recs:?}");
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// The liked manga itself is not recommended back.
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assert!(!recs.contains(&"Liked".to_string()), "recs: {recs:?}");
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}
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#[sqlx::test(migrations = "./migrations")]
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async fn dislike_downranks_shared_tags(pool: PgPool) {
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let h = common::harness(pool);
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let (_, cookie) = common::register_user(&h.app).await;
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let liked = common::seed_manga_via_api(&h.app, &cookie, "Liked").await;
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let disliked = common::seed_manga_via_api(&h.app, &cookie, "Disliked").await;
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let good = common::seed_manga_via_api(&h.app, &cookie, "Good").await;
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let bad = common::seed_manga_via_api(&h.app, &cookie, "Bad").await;
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attach_tag(&h.app, &cookie, liked, "action").await;
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attach_tag(&h.app, &cookie, good, "action").await; // shares the liked tag
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attach_tag(&h.app, &cookie, disliked, "gore").await;
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attach_tag(&h.app, &cookie, bad, "gore").await; // shares the disliked tag
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set_reaction(&h.app, &cookie, liked, "like").await;
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set_reaction(&h.app, &cookie, disliked, "dislike").await;
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let recs = recommend(&h.app, &cookie).await;
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assert!(recs.contains(&"Good".to_string()), "recs: {recs:?}");
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// Net-negative (disliked-tag) candidate is dropped.
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assert!(!recs.contains(&"Bad".to_string()), "recs: {recs:?}");
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}
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#[sqlx::test(migrations = "./migrations")]
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async fn bookmark_counts_as_half_a_like(pool: PgPool) {
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let h = common::harness(pool);
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let (_, cookie) = common::register_user(&h.app).await;
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let liked = common::seed_manga_via_api(&h.app, &cookie, "Liked").await;
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let booked = common::seed_manga_via_api(&h.app, &cookie, "Booked").await;
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let from_like = common::seed_manga_via_api(&h.app, &cookie, "FromLike").await;
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let from_bookmark = common::seed_manga_via_api(&h.app, &cookie, "FromBookmark").await;
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attach_tag(&h.app, &cookie, liked, "tliked").await;
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attach_tag(&h.app, &cookie, from_like, "tliked").await; // affinity 1.0
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attach_tag(&h.app, &cookie, booked, "tbooked").await;
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attach_tag(&h.app, &cookie, from_bookmark, "tbooked").await; // affinity 0.5
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set_reaction(&h.app, &cookie, liked, "like").await;
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bookmark(&h.app, &cookie, booked).await;
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let recs = recommend(&h.app, &cookie).await;
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// Both recommended, but the like-derived one outranks the bookmark-derived.
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let i_like = recs.iter().position(|t| t == "FromLike");
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let i_book = recs.iter().position(|t| t == "FromBookmark");
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assert!(i_like.is_some() && i_book.is_some(), "recs: {recs:?}");
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assert!(i_like < i_book, "like should outrank bookmark; recs: {recs:?}");
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}
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#[sqlx::test(migrations = "./migrations")]
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async fn excludes_already_seen(pool: PgPool) {
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let h = common::harness(pool);
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let (_, cookie) = common::register_user(&h.app).await;
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let liked = common::seed_manga_via_api(&h.app, &cookie, "Liked").await;
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let fresh = common::seed_manga_via_api(&h.app, &cookie, "Fresh").await;
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let already_read = common::seed_manga_via_api(&h.app, &cookie, "AlreadyRead").await;
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for m in [liked, fresh, already_read] {
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attach_tag(&h.app, &cookie, m, "action").await;
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}
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set_reaction(&h.app, &cookie, liked, "like").await;
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mark_read(&h.app, &cookie, already_read).await;
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let recs = recommend(&h.app, &cookie).await;
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assert!(recs.contains(&"Fresh".to_string()), "recs: {recs:?}");
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assert!(!recs.contains(&"AlreadyRead".to_string()), "recs: {recs:?}");
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}
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#[sqlx::test(migrations = "./migrations")]
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async fn empty_without_signals(pool: PgPool) {
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let h = common::harness(pool);
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let (_, cookie) = common::register_user(&h.app).await;
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let m = common::seed_manga_via_api(&h.app, &cookie, "Whatever").await;
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attach_tag(&h.app, &cookie, m, "action").await;
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assert!(recommend(&h.app, &cookie).await.is_empty());
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}
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#[sqlx::test(migrations = "./migrations")]
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async fn requires_authentication(pool: PgPool) {
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let h = common::harness(pool);
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let resp = h
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.app
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.clone()
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.oneshot(common::get("/api/v1/me/recommendations"))
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.await
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.unwrap();
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assert_eq!(resp.status(), StatusCode::UNAUTHORIZED);
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}
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4
frontend/package-lock.json
generated
4
frontend/package-lock.json
generated
@@ -1,12 +1,12 @@
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{
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"name": "mangalord-frontend",
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"version": "0.107.0",
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"version": "0.108.0",
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"lockfileVersion": 3,
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"requires": true,
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"packages": {
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"": {
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"name": "mangalord-frontend",
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"version": "0.107.0",
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"version": "0.108.0",
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"devDependencies": {
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"@lucide/svelte": "^1.16.0",
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"@playwright/test": "^1.48.0",
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@@ -1,6 +1,6 @@
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{
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"name": "mangalord-frontend",
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"version": "0.107.0",
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"version": "0.108.0",
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"private": true,
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"type": "module",
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"scripts": {
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