spa hardening, offline logging, rate limit fixes
server: - backup exporter, auth extractors, error shapes, CONTEXT (prior work) - spa assets served outside the rate limit via route_layer - requests_per_second went to per_second(), which takes an interval not a rate: 50 meant one request per 50s once burst was spent. now converted properly. 15/s, burst 60 spa fixes: - account delete cleared snake_case token keys that were never written - refresh interceptor could retry forever - date ranges used local day boundaries stamped +00:00 - "all" period trend plotted one page; calendar days fabricated mood 3 - chart grid invisible: hsl(var(--border)) against rgba tokens - blob url leak, orphaned media on failed save, devtools in prod bundle - pt-safe/safe-area-pb classes never existed spa features: - offline outbox: entries queue to IndexedDB, replay with backoff, only server refusals count against an entry - drafts persist, quick-log sheet, diary infinite scroll + filters - route error boundary, stale-chunk recovery, no service worker in dev a11y + perf: - mood picker is a radiogroup, activity picker keyboard-operable, text alternatives for colour/emoji, locale week start - dark glass over the bright photo: worst case 1.4:1 -> 4.9-9.6:1 - initial payload 1095->769kB raw, 306->230kB gzip; 38 unused components and 5 deps dropped; fonts 218->133kB 53 tests added (43 spa, 10 server)
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@@ -78,6 +78,9 @@ async fn correlations(store: &Arc<InMemoryStore>, user: &User) -> Vec<Correlatio
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weather_store: Arc::new(domain::testing::InMemoryDimensionStore::new(
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domain::dimension::DimensionKind::Weather,
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)),
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activity_store: Arc::new(domain::testing::InMemoryActivityDimension::sharing(
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store.clone(),
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)),
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preferences: store.clone(),
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users: store.clone(),
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};
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@@ -281,6 +284,9 @@ async fn correlations_with_floor(
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weather_store: Arc::new(domain::testing::InMemoryDimensionStore::new(
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domain::dimension::DimensionKind::Weather,
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)),
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activity_store: Arc::new(domain::testing::InMemoryActivityDimension::sharing(
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store.clone(),
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)),
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preferences: store.clone(),
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users: store.clone(),
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};
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@@ -483,7 +489,7 @@ async fn an_activity_never_logged_in_the_span_is_not_a_row_at_all() {
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async fn deps_free_entries(store: &Arc<InMemoryStore>, user: &User) -> Vec<MoodEntry> {
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use domain::ports::MoodEntryQueryPort;
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MoodEntryQueryPort::find_by_user(store.as_ref(), user.id(), None, None)
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MoodEntryQueryPort::find_all_by_user(store.as_ref(), user.id())
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.await
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.unwrap()
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}
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@@ -502,6 +508,9 @@ async fn correlations_with_rate(
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weather_store: Arc::new(domain::testing::InMemoryDimensionStore::new(
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domain::dimension::DimensionKind::Weather,
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)),
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activity_store: Arc::new(domain::testing::InMemoryActivityDimension::sharing(
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store.clone(),
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)),
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preferences: store.clone(),
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users: store.clone(),
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};
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@@ -737,3 +746,137 @@ async fn a_tracked_cycle_is_scored_like_anything_else_continuous() {
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["pearson", "spearman", "kendall"]
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);
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}
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async fn an_entry_at(
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store: &Arc<InMemoryStore>,
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user: &User,
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mood: Mood,
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at: DateTime<FixedOffset>,
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) -> MoodEntry {
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let entry = MoodEntry::new(user.id().clone(), mood, at);
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MoodEntryCommandPort::save(store.as_ref(), &entry)
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.await
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.unwrap();
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entry
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}
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fn weather_at(celsius: f64) -> domain::dimension::DimensionValue {
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domain::dimension::DimensionValue::Weather(domain::weather::Weather::new(
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domain::weather::Condition::Clear,
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domain::weather::Celsius::new(celsius).unwrap(),
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domain::provider::ProviderName::new("a-provider").unwrap(),
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))
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}
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async fn temperature_row_over(
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readings: &[(usize, f64)],
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order: &[usize],
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) -> Option<CorrelationRow> {
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let store = Arc::new(InMemoryStore::new());
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let user = a_user_in_warsaw();
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UserCommandPort::save(store.as_ref(), &user).await.unwrap();
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let weather_store = Arc::new(domain::testing::InMemoryDimensionStore::new(
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domain::dimension::DimensionKind::Weather,
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));
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for day in 0..40 {
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let mood = a_rising_mood_for(day);
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let mut entries = Vec::new();
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for (offset, _) in readings {
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entries.push(
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an_entry_at(
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&store,
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&user,
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mood,
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noon_on(day) + Duration::hours(*offset as i64),
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)
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.await,
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);
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}
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for position in order {
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let (_, celsius) = readings[*position];
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weather_store.put(entries[*position].id(), weather_at(celsius));
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}
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}
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let deps = get_correlations::Deps {
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entries: store.clone(),
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metrics: store.clone(),
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activities: store.clone(),
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cycles: store.clone(),
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weather_store: weather_store.clone(),
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activity_store: Arc::new(domain::testing::InMemoryActivityDimension::sharing(
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store.clone(),
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)),
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preferences: store.clone(),
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users: store.clone(),
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};
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let query = CorrelationQuery {
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user_id: user.id().clone(),
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span: DateSpan::new(date_of(0), date_of(120)).unwrap(),
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minimum_sample_size: MINIMUM,
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false_discovery_rate: 0.10,
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};
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get_correlations::execute(query, &deps)
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.await
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.unwrap()
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.into_iter()
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.find(|row| row.input == CorrelationInput::Temperature)
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}
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#[tokio::test]
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async fn a_days_temperature_does_not_depend_on_the_order_its_entries_were_written() {
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let readings = [(1usize, 4.0f64), (5, 27.0), (9, 15.0)];
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let one_way = temperature_row_over(&readings, &[0, 1, 2]).await.unwrap();
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let another = temperature_row_over(&readings, &[2, 0, 1]).await.unwrap();
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let coefficients = |row: &CorrelationRow| {
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row.scores
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.iter()
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.map(|score| score.coefficient.value())
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.collect::<Vec<_>>()
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};
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assert_eq!(
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coefficients(&one_way),
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coefficients(&another),
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"the day's reading is a property of the day, not of write order"
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);
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assert_eq!(one_way.sample_size, another.sample_size);
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}
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#[tokio::test]
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async fn a_day_is_represented_by_its_warmest_reading() {
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let cold_first = [(1usize, 4.0f64), (5, 27.0)];
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let warm_first = [(1usize, 27.0f64), (5, 4.0)];
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let only_the_warmest = [(1usize, 27.0f64)];
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let over_both_cold_first = temperature_row_over(&cold_first, &[0, 1]).await.unwrap();
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let over_both_warm_first = temperature_row_over(&warm_first, &[0, 1]).await.unwrap();
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let over_the_warmest = temperature_row_over(&only_the_warmest, &[0]).await.unwrap();
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let coefficients = |row: &CorrelationRow| {
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row.scores
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.iter()
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.map(|score| score.coefficient.value())
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.collect::<Vec<_>>()
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};
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assert_eq!(
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coefficients(&over_both_cold_first),
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coefficients(&over_the_warmest),
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"27C is the day's reading whether it was written first or last"
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);
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assert_eq!(
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coefficients(&over_both_warm_first),
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coefficients(&over_the_warmest)
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);
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}
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