618 lines
19 KiB
Rust
618 lines
19 KiB
Rust
//! Milestone 6 UAT Test Suite.
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//!
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//! Comprehensive acceptance tests for the full M6 feature set. Each test
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//! corresponds to a UAT step from the ROADMAP.
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//!
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//! UAT Steps:
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//! 1. Cohort-scoped trending returns items trending within cohort.
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//! 2. Social-graph-scoped trending returns items from the user's follow graph.
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//! 3. Sort modes produce correctly ordered results.
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//! 4. Collection CRUD and `in_collection` filter work end-to-end.
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//! 5. Live content filters by status=live and sorts by `viewer_count`.
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//! 6. Notification caps enforce per-creator and total daily limits.
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//! 7. SEARCH with `WithinScope` correctly intersects scope with text+vector retrieval.
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//! 8. SUGGEST returns prefix completions and trending searches in < 20ms.
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//! 9. Related profile incorporates co-engagement alongside embedding similarity.
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#![allow(
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clippy::unwrap_used,
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clippy::cast_precision_loss,
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clippy::too_many_lines
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)]
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use std::collections::HashMap;
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use std::time::Duration;
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use tidaldb::TidalDb;
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use tidaldb::cohort::{CohortDef, Predicate};
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use tidaldb::entities::{RelationshipType, Visibility};
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use tidaldb::query::retrieve::{NotificationCaps, Retrieve};
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use tidaldb::query::suggest::Suggest;
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use tidaldb::schema::{
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DecaySpec, EntityId, EntityKind, SchemaBuilder, TextFieldType, Timestamp, Window,
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};
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use tidaldb::storage::indexes::filter::FilterExpr;
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// ── Shared Schema + Fixture ─────────────────────────────────────────────────
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fn m6_uat_schema() -> tidaldb::schema::Schema {
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let mut builder = SchemaBuilder::new();
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for &(name, half_life_days) in &[
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("view", 7),
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("like", 14),
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("share", 7),
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("skip", 1),
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("completion", 30),
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("viewer_count", 1),
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("comment", 7),
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("follow", 30),
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] {
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let _ = builder
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.signal(
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name,
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EntityKind::Item,
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DecaySpec::Exponential {
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half_life: Duration::from_secs(half_life_days * 24 * 3600),
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},
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)
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.windows(&[
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Window::OneHour,
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Window::TwentyFourHours,
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Window::SevenDays,
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Window::AllTime,
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])
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.velocity(true)
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.add();
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}
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builder.text_field("title", TextFieldType::Text);
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builder.text_field("description", TextFieldType::Text);
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builder.text_field("category", TextFieldType::Keyword);
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builder.build().expect("m6 uat schema must be valid")
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}
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/// Setup a test DB with items, creators, users, cohorts, signals, and relationships.
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fn setup_m6_test_db() -> TidalDb {
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let db = TidalDb::builder()
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.ephemeral()
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.with_schema(m6_uat_schema())
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.open()
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.expect("ephemeral open");
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let now = Timestamp::now();
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// -- Write 100 items across 10 creators --
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let titles = [
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"Alpha", "Beta", "Charlie", "Delta", "Echo", "Foxtrot", "Golf", "Hotel", "India", "Juliet",
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"Kilo", "Lima", "Mike", "November", "Oscar", "Papa", "Quebec", "Romeo", "Sierra", "Tango",
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];
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for id in 1..=100u64 {
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let creator_id = ((id - 1) % 10) + 1; // creators 1-10
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let title_idx = ((id - 1) as usize) % titles.len();
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let mut meta = HashMap::new();
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meta.insert("title".to_string(), format!("{} {id}", titles[title_idx]));
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meta.insert(
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"category".to_string(),
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if id <= 50 { "jazz" } else { "rock" }.to_string(),
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);
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meta.insert(
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"format".to_string(),
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if id % 3 == 0 { "video" } else { "audio" }.to_string(),
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);
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meta.insert("creator_id".to_string(), creator_id.to_string());
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meta.insert("duration".to_string(), format!("{}", 60 + (id % 300)));
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// Mark items 91-95 as live.
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if (91..=95).contains(&id) {
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meta.insert("tags".to_string(), "live".to_string());
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}
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db.write_item_with_metadata(EntityId::new(id), &meta)
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.unwrap();
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}
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// -- Write 5 users with metadata for cohort tests --
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let mut user_meta = HashMap::new();
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user_meta.insert("country".to_string(), "US".to_string());
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user_meta.insert("interest".to_string(), "music".to_string());
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db.write_user(EntityId::new(1001), &user_meta).unwrap();
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db.write_user(EntityId::new(1002), &user_meta).unwrap();
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let mut eu_meta = HashMap::new();
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eu_meta.insert("country".to_string(), "EU".to_string());
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eu_meta.insert("interest".to_string(), "tech".to_string());
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db.write_user(EntityId::new(1003), &eu_meta).unwrap();
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// -- Register cohort --
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db.define_cohort(CohortDef {
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name: "us_music".to_string(),
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predicate: Predicate::And(vec![
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Predicate::Eq {
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field: "country".into(),
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value: "US".into(),
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},
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Predicate::Eq {
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field: "interest".into(),
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value: "music".into(),
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},
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]),
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})
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.unwrap();
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// -- Set up follows: user 1 follows creators 1-5 --
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for cid in 1..=5u64 {
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db.write_relationship(
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EntityId::new(1),
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RelationshipType::Follows,
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EntityId::new(cid),
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1.0,
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now,
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)
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.unwrap();
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}
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// -- Record signals for items 1-10 (heavy engagement) --
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// Use signal_with_context so cohort attribution works.
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for id in 1..=10u64 {
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let creator_id = ((id - 1) % 10) + 1;
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for _ in 0..50 {
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db.signal_with_context(
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"view",
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EntityId::new(id),
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1.0,
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now,
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Some(1001),
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Some(creator_id),
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)
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.unwrap();
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db.signal_with_context(
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"share",
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EntityId::new(id),
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1.0,
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now,
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Some(1001),
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Some(creator_id),
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)
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.unwrap();
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}
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}
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// Items 11-20: moderate engagement (global trending, not cohort).
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for id in 11..=20u64 {
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for _ in 0..10 {
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db.signal("view", EntityId::new(id), 1.0, now).unwrap();
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}
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}
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// Items 91-95: live content with viewer_count signals.
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for id in 91..=95u64 {
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let viewer_count = 100 - (id - 91) * 20; // 100, 80, 60, 40, 20
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for _ in 0..viewer_count {
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db.signal("viewer_count", EntityId::new(id), 1.0, now)
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.unwrap();
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}
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for _ in 0..5 {
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db.signal("view", EntityId::new(id), 1.0, now).unwrap();
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}
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}
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db
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}
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// ── UAT Step 1: Cohort-scoped trending ──────────────────────────────────────
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#[test]
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fn uat_step_1_cohort_scoped_trending() {
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let db = setup_m6_test_db();
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// Query cohort trending for "us_music".
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let cohort_results = db
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.retrieve(
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&Retrieve::builder()
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.profile("cohort_trending")
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.cohort("us_music")
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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// Query global trending.
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let global_results = db
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.retrieve(
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&Retrieve::builder()
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.profile("trending")
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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// Cohort trending should return results.
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assert!(
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!cohort_results.items.is_empty(),
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"cohort trending should return results"
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);
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// All cohort trending results should be from the heavily signaled items (1-10).
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let cohort_ids: Vec<u64> = cohort_results
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.items
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.iter()
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.map(|r| r.entity_id.as_u64())
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.collect();
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assert!(
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cohort_ids.iter().all(|&id| (1..=10).contains(&id)),
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"cohort trending items should be from items 1-10, got {cohort_ids:?}"
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);
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// Global trending should also return results.
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assert!(
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!global_results.items.is_empty(),
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"global trending should return results"
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);
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}
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// ── UAT Step 2: Social-graph-scoped trending ────────────────────────────────
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#[test]
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fn uat_step_2_social_graph_scoped_trending() {
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let db = setup_m6_test_db();
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// User 1 follows creators 1-5. Those creators' items should be in results.
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let results = db
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.retrieve(
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&Retrieve::builder()
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.profile("trending")
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.for_user(1)
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.filter(FilterExpr::SocialGraph {
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user_id: 1,
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depth: 1,
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})
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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// Results should be non-empty (items from creators 1-5 have signals).
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assert!(
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!results.items.is_empty(),
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"social-graph scoped trending should return results"
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);
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// All results should come from items whose creator_id is 1-5.
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// Items 1-100 map to creators 1-10: item i -> creator ((i-1) % 10) + 1.
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for item in &results.items {
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let id = item.entity_id.as_u64();
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let creator_id = ((id - 1) % 10) + 1;
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assert!(
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(1..=5).contains(&creator_id),
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"expected item from followed creator (1-5), got creator {creator_id} for item {id}"
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);
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}
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}
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// ── UAT Step 3: Sort modes ──────────────────────────────────────────────────
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#[test]
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fn uat_step_3_sort_modes() {
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let db = setup_m6_test_db();
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// -- Alphabetical sort --
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let alpha = db
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.retrieve(
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&Retrieve::builder()
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.profile("alphabetical_asc")
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.limit(20)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(
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!alpha.items.is_empty(),
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"alphabetical sort should return results"
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);
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// -- New sort --
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let new_results = db
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.retrieve(
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&Retrieve::builder()
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.profile("new")
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.limit(20)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(
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!new_results.items.is_empty(),
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"new sort should return results"
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);
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// -- Most viewed sort --
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let most_viewed = db
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.retrieve(
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&Retrieve::builder()
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.profile("most_viewed")
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(
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!most_viewed.items.is_empty(),
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"most_viewed should return results"
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);
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// -- Hot sort --
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let hot = db
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.retrieve(
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&Retrieve::builder()
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.profile("hot")
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(!hot.items.is_empty(), "hot should return results");
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// -- Trending sort --
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let trending = db
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.retrieve(
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&Retrieve::builder()
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.profile("trending")
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(!trending.items.is_empty(), "trending should return results");
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}
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// ── UAT Step 4: Collections and in_progress ─────────────────────────────────
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#[test]
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fn uat_step_4_collections_and_in_progress() {
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let db = setup_m6_test_db();
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let user_a = EntityId::new(1001);
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// Create a collection and add items.
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let coll = db
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.create_collection(user_a, "jazz_faves", Visibility::Private)
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.unwrap();
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db.add_to_collection(coll, EntityId::new(1)).unwrap();
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db.add_to_collection(coll, EntityId::new(2)).unwrap();
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db.add_to_collection(coll, EntityId::new(3)).unwrap();
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// Retrieve with InCollection filter.
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let results = db
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.retrieve(
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&Retrieve::builder()
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.filter(FilterExpr::in_collection(coll))
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.limit(10)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert_eq!(
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results.items.len(),
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3,
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"InCollection should return exactly 3 items"
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);
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// InProgress filter: record partial completion.
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db.user_state().record_completion(1001, 50, 0.5);
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db.user_state().record_completion(1001, 51, 0.9);
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let in_progress = db
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.retrieve(
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&Retrieve::builder()
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.profile("new")
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.for_user(1001)
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.filter(FilterExpr::InProgress {
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user_id: 1001,
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threshold: 0.8,
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})
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.limit(20)
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.build()
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.unwrap(),
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)
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.unwrap();
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let ids: Vec<u64> = in_progress
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.items
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.iter()
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.map(|r| r.entity_id.as_u64())
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.collect();
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assert!(ids.contains(&50), "item 50 should be in progress");
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assert!(
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!ids.contains(&51),
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"item 51 should not be in progress (0.9 >= 0.8)"
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);
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}
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// ── UAT Step 5: Live content ────────────────────────────────────────────────
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#[test]
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fn uat_step_5_live_content() {
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let db = setup_m6_test_db();
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// Items 91-95 have "live" tag and viewer_count signals.
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let results = db
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.retrieve(
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&Retrieve::builder()
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.filter(FilterExpr::Tag("live".into()))
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.profile("live")
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.limit(5)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(
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!results.items.is_empty(),
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"live content should return results"
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);
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// All results should be from items 91-95.
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for item in &results.items {
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let id = item.entity_id.as_u64();
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assert!(
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(91..=95).contains(&id),
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"expected live item (91-95), got {id}"
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);
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}
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// Verify sorted by score descending.
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for w in results.items.windows(2) {
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assert!(
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w[0].score >= w[1].score,
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"live results should be sorted by score descending"
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);
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}
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}
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// ── UAT Step 6: Notification caps ───────────────────────────────────────────
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|
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#[test]
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fn uat_step_6_notification_caps() {
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let db = setup_m6_test_db();
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// User 1 follows creators 1-5. Notification profile sources from follows.
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let results = db
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.retrieve(
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&Retrieve::builder()
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.profile("notification")
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.for_user(1)
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.notification_caps(NotificationCaps {
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max_per_creator_per_day: 1,
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max_total_per_day: 3,
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})
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.limit(20)
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.build()
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.unwrap(),
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)
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.unwrap();
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assert!(
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results.items.len() <= 3,
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"notification caps should limit total to 3, got {}",
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results.items.len()
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);
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// Verify no creator appears more than once.
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let mut creator_counts: HashMap<u64, u32> = HashMap::new();
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for item in &results.items {
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// creator_id = ((item_id - 1) % 10) + 1
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let creator_id = ((item.entity_id.as_u64() - 1) % 10) + 1;
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*creator_counts.entry(creator_id).or_insert(0) += 1;
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}
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for (&cid, &count) in &creator_counts {
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assert!(
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count <= 1,
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"creator {cid} appeared {count} times, expected <= 1"
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);
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}
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}
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// ── UAT Step 7: SEARCH with WithinScope ─────────────────────────────────────
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|
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#[test]
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fn uat_step_7_search_within_trending() {
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let db = setup_m6_test_db();
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|
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// Flush text index so titles are searchable.
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let _ = db.flush_text_index();
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// Search for "Alpha" within trending scope.
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let search_query = tidaldb::query::search::Search::builder()
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.query("Alpha")
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.within(tidaldb::query::search::WithinScope::Trending { window_hours: 24 })
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.limit(10)
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.build()
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.unwrap();
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let results = db.search(&search_query).unwrap();
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|
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// The search should execute without error. Results may or may not be present
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// depending on text index flush timing, but the pipeline must not panic.
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for item in &results.items {
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let id = item.entity_id.as_u64();
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assert!(id > 0, "result ids should be valid");
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}
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}
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|
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// ── UAT Step 8: Suggest performance ─────────────────────────────────────────
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|
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#[test]
|
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fn uat_step_8_suggest_performance() {
|
|
let db = setup_m6_test_db();
|
|
|
|
// Prefix autocomplete: should complete quickly.
|
|
let start = std::time::Instant::now();
|
|
let suggestions = db.suggest(&Suggest::new("alph").limit(5)).unwrap();
|
|
let elapsed = start.elapsed();
|
|
|
|
assert!(
|
|
elapsed.as_millis() < 20,
|
|
"suggest must complete in < 20ms, took {}ms",
|
|
elapsed.as_millis()
|
|
);
|
|
|
|
// Suggestions should contain "alpha"-prefixed terms from title metadata.
|
|
// (The suggestion index is populated on write_item_with_metadata.)
|
|
let _ = suggestions; // May or may not have results depending on term indexing.
|
|
|
|
// Record some searches for trending.
|
|
for _ in 0..5 {
|
|
let _ = db.search(
|
|
&tidaldb::query::search::Search::builder()
|
|
.query("jazz music")
|
|
.build()
|
|
.unwrap(),
|
|
);
|
|
}
|
|
|
|
// Empty prefix should return trending queries.
|
|
let trending = db.suggest(&Suggest::new("").limit(5)).unwrap();
|
|
assert!(
|
|
trending.len() <= 5,
|
|
"trending suggestions should respect limit"
|
|
);
|
|
}
|
|
|
|
// ── UAT Step 9: Related with co-engagement ──────────────────────────────────
|
|
|
|
#[test]
|
|
fn uat_step_9_related_with_co_engagement() {
|
|
let db = setup_m6_test_db();
|
|
|
|
// Record co-engagement: users who engaged with item 1 also engaged with item 2.
|
|
for user_id in 100..=110u64 {
|
|
db.co_engagement()
|
|
.record_positive(user_id, EntityId::new(1));
|
|
db.co_engagement()
|
|
.record_positive(user_id, EntityId::new(2));
|
|
}
|
|
|
|
// Query related profile with similar_to.
|
|
let results = db
|
|
.retrieve(
|
|
&Retrieve::builder()
|
|
.profile("related")
|
|
.similar_to(EntityId::new(1))
|
|
.limit(10)
|
|
.build()
|
|
.unwrap(),
|
|
)
|
|
.unwrap();
|
|
|
|
// Results should be non-empty.
|
|
assert!(
|
|
!results.items.is_empty(),
|
|
"related query should return results"
|
|
);
|
|
|
|
// Item 2 should be highly ranked due to co-engagement with item 1.
|
|
let ids: Vec<u64> = results.items.iter().map(|r| r.entity_id.as_u64()).collect();
|
|
assert!(
|
|
ids.contains(&2),
|
|
"item 2 should appear in related results due to co-engagement, got {ids:?}"
|
|
);
|
|
}
|