feat(memories): Tier 2 — people_together memory type (pair co-occurrence) - #792
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…eo moments (#812) * docs(memories): spec tier 3 memory types (trip anniversary, themed, video moments) * docs(memories): fix 24 review defects in tier 3 spec Adversarial review found blockers verified against the code: - MemoryPeriodAsset new fields are required -> 4 fixture factories break tsc - themed firing daily with a multi-day window starves ALL rules (remainingSlots==0 returns early, memory.service.ts:130) - themed capped to 1 candidate makes older years permanently unreachable - searchSmart filters fileCreatedAt, not localDateTime (database.ts:725) - Luxon silently clamps Feb 29 -> Feb 28, breaking leap-year anniversaries - uncapped favoriteCount inverted the trip precedence invariant - recencyBonus maxes at 9 for past years, not 10 * feat(memories): return asset type and duration from getMemoryAssetsForPeriod Additive filter + two new required MemoryPeriodAsset fields, needed by the video_moments rule (slice 2). The fields are required deliberately so every construction site states the asset kind; the four existing rule-spec fixture factories are updated accordingly. TDD: 3 medium tests red (type/duration undefined, type filter not honored) -> 67/67 green. Unit suite 127/127 unchanged. SQL snapshot regenerated. * feat(memories): add video_moments memory type Videos filmed in this calendar month of a past year, triggered on day 8 with a 5-day window (staggered against days 1/15/20 so multi-day rules never contend for a trigger day). Memorability = a 3s-180s duration band, with favourites selected first and a capped favourite score bonus so it cannot outrank a trip anniversary. Registered at all 16 memory-type sites incl. the e2e server-config fixture that the server unit suite does not cover. TDD: spec red (module not found) -> 14/14 green; 217/217 server tests, tsc clean, eslint clean, web 3/3. Also corrects an unreachable '1 video' pluralization case in the spec: MIN_ASSETS=3 makes count===1 impossible for a fired candidate. * fix(mobile): force autoplay for videos in the memory viewer The memory card builds NativeVideoViewer with showControls: false, so a user who has viewer.autoPlayVideo disabled saw a frozen first frame with no way to start playback. Adds an opt-in forceAutoPlay flag (default false, so the ~40 other call sites keep honouring the global preference) and sets it in the memory card. Pre-existing since videos could already land in memories; user-visible now that video_moments surfaces them deliberately. Tests are construction-only by design: mounting DriftMemoryCard under flutter test throws two unavoidable environment exceptions (its remote image provider does not route through dart:io so MockHttpOverrides misses it, and NativeVideoViewer opens a platform video controller in initState). The risk here is the parameter contract and its default, which is what is covered; the single call-site literal is compile-checked by dart analyze. dart analyze --fatal-infos clean; 2/2 tests pass. * refactor(memories): extract shared trip detection and curation helpers Pulls the trip logic private to recent-trip.rule.ts into a pure, unit-tested trip.util.ts that trip_anniversary (slice 5) shares, and introduces the canonical placeKeyOf. placeKeyOf matters beyond tidiness: on_this_day_place built its place key as `${country ?? ''}:${city}` and recent_trip as `${country}:${city ?? ''}`. Slice 5 relies on both place-based rules emitting an IDENTICAL dedupe key so the engine's seenDedupeKeys collapses them; with the divergent formats that collapse would have silently never fired. recent_trip keeps its exact behaviour: curateTripAssets(assets, 10) preserves today's ceiling, and its spec passes byte-identical as the regression guard. findTripStartingOn is the one piece of genuinely new logic. TDD: spec red (module not found) -> 29/29 green; 171/171 memory-rules, tsc + eslint clean. * feat(memories): add trip_anniversary memory type Resurfaces a past multi-day trip on the anniversary of the day it began, detected fresh from location data so imported historical libraries are covered (recent_trip only ever fired for trips taken while already running Gallery). Cheap-probe-first: one on-this-day query prunes the common case before any cluster query runs. A trip is confirmed by starting the cluster window 5 days BEFORE the anniversary, so a cluster whose firstDate lands on the anniversary provably had no photos there beforehand -- a genuine arrival, not a mid-stay. Also makes on_this_day_place share the place_day: dedupe namespace so the engine's existing seenDedupeKeys collapses the two rules (they fire on the same signal and would otherwise take both daily slots with near-identical content). That collapse needs a TOTAL score precedence, so on_this_day_place's previously-unbounded count term is capped at 30: its max becomes 199 while trip_anniversary's floor is 275. Asserted as an invariant test derived from both rules' exported constants, not hardcoded numbers. Luxon silently clamps Feb 29 -> Feb 28 in non-leap years, so the rule skips years where the clamp changed the date rather than comparing the wrong day. TDD: spec red (module not found) -> 18/18 green, incl. mutation checks confirming each guard is load-bearing. 266/266 server, tsc + eslint clean, web 3/3. * feat(memories): add theme catalog and smart-search port for themed memories Themed memories ride the CLIP embeddings smart search already computes per asset -- no auto-classification dependency, no new ML model, no new infra. The rule (slice 7) depends only on a narrow ThemeSearchPort, so it unit-tests against a fake with no ML service and no DB. The adapter behind it memoizes each theme's embedding per (modelName, language), because encodeText is an ML HTTP call and createMemoryRules runs once per user per day -- encoding inside the rule would mean one round-trip per user per night. Theme text is user-independent, so it is encoded once and reused. searchAssetBuilder filters takenAfter/takenBefore on asset.fileCreatedAt (utils/database.ts:725-726), not localDateTime, which every memory rule buckets by. The adapter widens the window 2 days each side so no in-year asset is lost to that skew; the rule then filters precisely by localDateTime. resolveEmbedding never throws: smart search disabled or ML unreachable both yield null, which the rule treats as 'no candidates'. TDD: both specs red (module not found) -> 6/6 and 8/8 green; 260/260, tsc + eslint clean; SDK regenerated (themeMaxDistance only). * feat(memories): add themed memory type backed by smart search 'Sunsets from 2023' -- a curated 6-theme vocabulary matched against the CLIP embeddings smart search already computes. No auto-classification dependency. Fires on day 22 with one theme per MONTH. Both choices are load-bearing: a daily-firing rule with a multi-day window would hold both of the engine's 2 slots for a week at a time, and createRuleMemories returns early when remainingSlots is 0 -- meaning NO rule evaluates at all -- which could permanently starve trip_anniversary. Month-based rotation is also stable across year and leap boundaries, where day-of-year is not (365 % 6 != 0). Emits ALL qualifying years (capped at 3), not just the best: hasRuleMemory dedup happens in the engine after the rule returns, and recencyBonus always favours the newest year, so a single-candidate rule would make older years permanently unreachable once the newest year's memory existed. Re-filters results by localDateTime year because the port's bounds hit asset.fileCreatedAt, applying MIN_ASSETS after that filter. MemoryService memoizes the adapter behind an overridable createThemeSearchPort() seam, so a theme is encoded once per process rather than once per user per night, and slice 8's medium test can inject a stub without a live ML service. TDD: spec red (module not found) -> 13/13 green. Full server suite 4984 passed; memory.service.spec.ts untouched (its arg-agnostic spies still hold); tsc + eslint clean; web 3/3. * test(memories): end-to-end generation coverage for tier 3 memory types Eight medium tests against a real DB, each rule with a positive case and negatives that fail for a DIFFERENT reason than the positive passes: video_moments (wrong trigger day / out-of-band duration), trip_anniversary (single-day cluster fails MIN_TRIP_DAYS specifically, with home inference and asset count held fixed), themed (null embedding), plus a slot-budget test guarding the RULE_DAILY_LIMIT early-return that would otherwise let a multi-day rule starve every other rule. themed is exercised through the createThemeSearchPort seam with a stub, so no live ML service is needed. Also closes a pre-existing connection-pool leak in this file: every test's beforeEach opened a new Kysely pool via getKyselyDB() and none were closed. Harmless at 18 tests, it hit 'too many clients already' at 26. Adds an afterEach that destroys each pool. Documents themeMaxDistance in config-file.md and notes that Themes requires smart search. NOT DONE — threshold calibration (spec 4.2) needs an RC on the personal instance and is a human-run gate; 0.3 remains an unvalidated placeholder. * chore(open-api): regenerate Dart client for themeMaxDistance The TypeScript SDK was regenerated with the config field but the Dart client was not, so CI's OpenAPI Clients job failed on a dirty system_config_memories_dto.dart. make open-api generates BOTH clients; running only open-api-typescript leaves the Dart side stale. * feat(memories): person throwback — resurface a chapter with someone dormant 12+ months (#9) (#831) * docs(memories): spec for person_throwback memory type (#9) * docs(memories): fix trigger-day starvation, score band, and read-skew gaps in person_throwback spec * docs(memories): fix memoryAt type, trim dead fields, pin worked score, add impl-loop slices * feat(memories): add densestChapter window helper * docs(memories): correct i18n key shape and web spec sites; add slice plans * feat(memories): add dormant-person and chapter-window queries * feat(memories): add person_throwback memory rule * docs(memories): correct row-3 chapter year and chapterYear derivation * feat(memories): register person_throwback memory type * feat(web): expose person_throwback in memory settings * test(memories): end-to-end coverage for person_throwback + docs * docs: format slice plan files for docs prettier gate * fix(memories): make themed memories fire, and tune person_throwback dormancy `memories.themeMaxDistance` shipped at 0.3, which emits zero themed memories on a real library: a sweep over 65,685 embeddings returned nothing at 0.3 and 0.5, and genuine matches at 0.75. The default was calibrated on the scale of the image-to-image thresholds used elsewhere (duplicateDetection 0.01, facialRecognition 0.5), but this is a text-to-image distance, where CLIP's modality gap floors the value near ~0.6 even for a perfect match — so 0.3 is unreachable. Default is now 0.75, matching what the admin UI already recommends for `machineLearning.clip.maxDistance` (same metric, same embeddings). `updateConfig` persists only the diff against defaults, so installs that never overrode the value pick this up on upgrade. person_throwback's dormancy window was a hardcoded 12 months, which made the rule effectively unfireable: a 65k-asset library with 12 named people had a most-dormant gap of only 9 months. It is now `memories.personThrowbackDormancyMonths`, defaulting to 6 (range 1-120), so a wrong threshold is a settings change rather than a redeploy. Both knobs were previously config-file-only. They are now in Administration > Settings > Memories, indented directly under the memory type they affect and gated on that type being enabled, so it is unambiguous which type each knob tunes. Adds a test asserting all 12 server-registered types render a switch, guarding against the UI list drifting from the server registry.
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…nce) (#792) * docs(memories): Tier 2 people_together spec (pair co-occurrence memory) * docs(memories): harden people_together spec — TDD/BDD, full edge coverage, /impl-loop slices * feat(memories): pairCounts curation helper for people-together * feat(memories): getMemoryFacesForPeriod repository query * feat(memories): people-together memory type * chore(memories): people-together generation test + roadmap status * fix(memories): add people_together to e2e server-config fixture + docs * feat(memories): Tier 3 — trip anniversary, themed (smart search), video moments (#812) * docs(memories): spec tier 3 memory types (trip anniversary, themed, video moments) * docs(memories): fix 24 review defects in tier 3 spec Adversarial review found blockers verified against the code: - MemoryPeriodAsset new fields are required -> 4 fixture factories break tsc - themed firing daily with a multi-day window starves ALL rules (remainingSlots==0 returns early, memory.service.ts:130) - themed capped to 1 candidate makes older years permanently unreachable - searchSmart filters fileCreatedAt, not localDateTime (database.ts:725) - Luxon silently clamps Feb 29 -> Feb 28, breaking leap-year anniversaries - uncapped favoriteCount inverted the trip precedence invariant - recencyBonus maxes at 9 for past years, not 10 * feat(memories): return asset type and duration from getMemoryAssetsForPeriod Additive filter + two new required MemoryPeriodAsset fields, needed by the video_moments rule (slice 2). The fields are required deliberately so every construction site states the asset kind; the four existing rule-spec fixture factories are updated accordingly. TDD: 3 medium tests red (type/duration undefined, type filter not honored) -> 67/67 green. Unit suite 127/127 unchanged. SQL snapshot regenerated. * feat(memories): add video_moments memory type Videos filmed in this calendar month of a past year, triggered on day 8 with a 5-day window (staggered against days 1/15/20 so multi-day rules never contend for a trigger day). Memorability = a 3s-180s duration band, with favourites selected first and a capped favourite score bonus so it cannot outrank a trip anniversary. Registered at all 16 memory-type sites incl. the e2e server-config fixture that the server unit suite does not cover. TDD: spec red (module not found) -> 14/14 green; 217/217 server tests, tsc clean, eslint clean, web 3/3. Also corrects an unreachable '1 video' pluralization case in the spec: MIN_ASSETS=3 makes count===1 impossible for a fired candidate. * fix(mobile): force autoplay for videos in the memory viewer The memory card builds NativeVideoViewer with showControls: false, so a user who has viewer.autoPlayVideo disabled saw a frozen first frame with no way to start playback. Adds an opt-in forceAutoPlay flag (default false, so the ~40 other call sites keep honouring the global preference) and sets it in the memory card. Pre-existing since videos could already land in memories; user-visible now that video_moments surfaces them deliberately. Tests are construction-only by design: mounting DriftMemoryCard under flutter test throws two unavoidable environment exceptions (its remote image provider does not route through dart:io so MockHttpOverrides misses it, and NativeVideoViewer opens a platform video controller in initState). The risk here is the parameter contract and its default, which is what is covered; the single call-site literal is compile-checked by dart analyze. dart analyze --fatal-infos clean; 2/2 tests pass. * refactor(memories): extract shared trip detection and curation helpers Pulls the trip logic private to recent-trip.rule.ts into a pure, unit-tested trip.util.ts that trip_anniversary (slice 5) shares, and introduces the canonical placeKeyOf. placeKeyOf matters beyond tidiness: on_this_day_place built its place key as `${country ?? ''}:${city}` and recent_trip as `${country}:${city ?? ''}`. Slice 5 relies on both place-based rules emitting an IDENTICAL dedupe key so the engine's seenDedupeKeys collapses them; with the divergent formats that collapse would have silently never fired. recent_trip keeps its exact behaviour: curateTripAssets(assets, 10) preserves today's ceiling, and its spec passes byte-identical as the regression guard. findTripStartingOn is the one piece of genuinely new logic. TDD: spec red (module not found) -> 29/29 green; 171/171 memory-rules, tsc + eslint clean. * feat(memories): add trip_anniversary memory type Resurfaces a past multi-day trip on the anniversary of the day it began, detected fresh from location data so imported historical libraries are covered (recent_trip only ever fired for trips taken while already running Gallery). Cheap-probe-first: one on-this-day query prunes the common case before any cluster query runs. A trip is confirmed by starting the cluster window 5 days BEFORE the anniversary, so a cluster whose firstDate lands on the anniversary provably had no photos there beforehand -- a genuine arrival, not a mid-stay. Also makes on_this_day_place share the place_day: dedupe namespace so the engine's existing seenDedupeKeys collapses the two rules (they fire on the same signal and would otherwise take both daily slots with near-identical content). That collapse needs a TOTAL score precedence, so on_this_day_place's previously-unbounded count term is capped at 30: its max becomes 199 while trip_anniversary's floor is 275. Asserted as an invariant test derived from both rules' exported constants, not hardcoded numbers. Luxon silently clamps Feb 29 -> Feb 28 in non-leap years, so the rule skips years where the clamp changed the date rather than comparing the wrong day. TDD: spec red (module not found) -> 18/18 green, incl. mutation checks confirming each guard is load-bearing. 266/266 server, tsc + eslint clean, web 3/3. * feat(memories): add theme catalog and smart-search port for themed memories Themed memories ride the CLIP embeddings smart search already computes per asset -- no auto-classification dependency, no new ML model, no new infra. The rule (slice 7) depends only on a narrow ThemeSearchPort, so it unit-tests against a fake with no ML service and no DB. The adapter behind it memoizes each theme's embedding per (modelName, language), because encodeText is an ML HTTP call and createMemoryRules runs once per user per day -- encoding inside the rule would mean one round-trip per user per night. Theme text is user-independent, so it is encoded once and reused. searchAssetBuilder filters takenAfter/takenBefore on asset.fileCreatedAt (utils/database.ts:725-726), not localDateTime, which every memory rule buckets by. The adapter widens the window 2 days each side so no in-year asset is lost to that skew; the rule then filters precisely by localDateTime. resolveEmbedding never throws: smart search disabled or ML unreachable both yield null, which the rule treats as 'no candidates'. TDD: both specs red (module not found) -> 6/6 and 8/8 green; 260/260, tsc + eslint clean; SDK regenerated (themeMaxDistance only). * feat(memories): add themed memory type backed by smart search 'Sunsets from 2023' -- a curated 6-theme vocabulary matched against the CLIP embeddings smart search already computes. No auto-classification dependency. Fires on day 22 with one theme per MONTH. Both choices are load-bearing: a daily-firing rule with a multi-day window would hold both of the engine's 2 slots for a week at a time, and createRuleMemories returns early when remainingSlots is 0 -- meaning NO rule evaluates at all -- which could permanently starve trip_anniversary. Month-based rotation is also stable across year and leap boundaries, where day-of-year is not (365 % 6 != 0). Emits ALL qualifying years (capped at 3), not just the best: hasRuleMemory dedup happens in the engine after the rule returns, and recencyBonus always favours the newest year, so a single-candidate rule would make older years permanently unreachable once the newest year's memory existed. Re-filters results by localDateTime year because the port's bounds hit asset.fileCreatedAt, applying MIN_ASSETS after that filter. MemoryService memoizes the adapter behind an overridable createThemeSearchPort() seam, so a theme is encoded once per process rather than once per user per night, and slice 8's medium test can inject a stub without a live ML service. TDD: spec red (module not found) -> 13/13 green. Full server suite 4984 passed; memory.service.spec.ts untouched (its arg-agnostic spies still hold); tsc + eslint clean; web 3/3. * test(memories): end-to-end generation coverage for tier 3 memory types Eight medium tests against a real DB, each rule with a positive case and negatives that fail for a DIFFERENT reason than the positive passes: video_moments (wrong trigger day / out-of-band duration), trip_anniversary (single-day cluster fails MIN_TRIP_DAYS specifically, with home inference and asset count held fixed), themed (null embedding), plus a slot-budget test guarding the RULE_DAILY_LIMIT early-return that would otherwise let a multi-day rule starve every other rule. themed is exercised through the createThemeSearchPort seam with a stub, so no live ML service is needed. Also closes a pre-existing connection-pool leak in this file: every test's beforeEach opened a new Kysely pool via getKyselyDB() and none were closed. Harmless at 18 tests, it hit 'too many clients already' at 26. Adds an afterEach that destroys each pool. Documents themeMaxDistance in config-file.md and notes that Themes requires smart search. NOT DONE — threshold calibration (spec 4.2) needs an RC on the personal instance and is a human-run gate; 0.3 remains an unvalidated placeholder. * chore(open-api): regenerate Dart client for themeMaxDistance The TypeScript SDK was regenerated with the config field but the Dart client was not, so CI's OpenAPI Clients job failed on a dirty system_config_memories_dto.dart. make open-api generates BOTH clients; running only open-api-typescript leaves the Dart side stale. * feat(memories): person throwback — resurface a chapter with someone dormant 12+ months (#9) (#831) * docs(memories): spec for person_throwback memory type (#9) * docs(memories): fix trigger-day starvation, score band, and read-skew gaps in person_throwback spec * docs(memories): fix memoryAt type, trim dead fields, pin worked score, add impl-loop slices * feat(memories): add densestChapter window helper * docs(memories): correct i18n key shape and web spec sites; add slice plans * feat(memories): add dormant-person and chapter-window queries * feat(memories): add person_throwback memory rule * docs(memories): correct row-3 chapter year and chapterYear derivation * feat(memories): register person_throwback memory type * feat(web): expose person_throwback in memory settings * test(memories): end-to-end coverage for person_throwback + docs * docs: format slice plan files for docs prettier gate * fix(memories): make themed memories fire, and tune person_throwback dormancy `memories.themeMaxDistance` shipped at 0.3, which emits zero themed memories on a real library: a sweep over 65,685 embeddings returned nothing at 0.3 and 0.5, and genuine matches at 0.75. The default was calibrated on the scale of the image-to-image thresholds used elsewhere (duplicateDetection 0.01, facialRecognition 0.5), but this is a text-to-image distance, where CLIP's modality gap floors the value near ~0.6 even for a perfect match — so 0.3 is unreachable. Default is now 0.75, matching what the admin UI already recommends for `machineLearning.clip.maxDistance` (same metric, same embeddings). `updateConfig` persists only the diff against defaults, so installs that never overrode the value pick this up on upgrade. person_throwback's dormancy window was a hardcoded 12 months, which made the rule effectively unfireable: a 65k-asset library with 12 named people had a most-dormant gap of only 9 months. It is now `memories.personThrowbackDormancyMonths`, defaulting to 6 (range 1-120), so a wrong threshold is a settings change rather than a redeploy. Both knobs were previously config-file-only. They are now in Administration > Settings > Memories, indented directly under the memory type they affect and gated on that type being enabled, so it is unambiguous which type each knob tunes. Adds a test asserting all 12 server-registered types render a switch, guarding against the UI list drifting from the server registry.
Deeds67
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…nce) (#792) * docs(memories): Tier 2 people_together spec (pair co-occurrence memory) * docs(memories): harden people_together spec — TDD/BDD, full edge coverage, /impl-loop slices * feat(memories): pairCounts curation helper for people-together * feat(memories): getMemoryFacesForPeriod repository query * feat(memories): people-together memory type * chore(memories): people-together generation test + roadmap status * fix(memories): add people_together to e2e server-config fixture + docs * feat(memories): Tier 3 — trip anniversary, themed (smart search), video moments (#812) * docs(memories): spec tier 3 memory types (trip anniversary, themed, video moments) * docs(memories): fix 24 review defects in tier 3 spec Adversarial review found blockers verified against the code: - MemoryPeriodAsset new fields are required -> 4 fixture factories break tsc - themed firing daily with a multi-day window starves ALL rules (remainingSlots==0 returns early, memory.service.ts:130) - themed capped to 1 candidate makes older years permanently unreachable - searchSmart filters fileCreatedAt, not localDateTime (database.ts:725) - Luxon silently clamps Feb 29 -> Feb 28, breaking leap-year anniversaries - uncapped favoriteCount inverted the trip precedence invariant - recencyBonus maxes at 9 for past years, not 10 * feat(memories): return asset type and duration from getMemoryAssetsForPeriod Additive filter + two new required MemoryPeriodAsset fields, needed by the video_moments rule (slice 2). The fields are required deliberately so every construction site states the asset kind; the four existing rule-spec fixture factories are updated accordingly. TDD: 3 medium tests red (type/duration undefined, type filter not honored) -> 67/67 green. Unit suite 127/127 unchanged. SQL snapshot regenerated. * feat(memories): add video_moments memory type Videos filmed in this calendar month of a past year, triggered on day 8 with a 5-day window (staggered against days 1/15/20 so multi-day rules never contend for a trigger day). Memorability = a 3s-180s duration band, with favourites selected first and a capped favourite score bonus so it cannot outrank a trip anniversary. Registered at all 16 memory-type sites incl. the e2e server-config fixture that the server unit suite does not cover. TDD: spec red (module not found) -> 14/14 green; 217/217 server tests, tsc clean, eslint clean, web 3/3. Also corrects an unreachable '1 video' pluralization case in the spec: MIN_ASSETS=3 makes count===1 impossible for a fired candidate. * fix(mobile): force autoplay for videos in the memory viewer The memory card builds NativeVideoViewer with showControls: false, so a user who has viewer.autoPlayVideo disabled saw a frozen first frame with no way to start playback. Adds an opt-in forceAutoPlay flag (default false, so the ~40 other call sites keep honouring the global preference) and sets it in the memory card. Pre-existing since videos could already land in memories; user-visible now that video_moments surfaces them deliberately. Tests are construction-only by design: mounting DriftMemoryCard under flutter test throws two unavoidable environment exceptions (its remote image provider does not route through dart:io so MockHttpOverrides misses it, and NativeVideoViewer opens a platform video controller in initState). The risk here is the parameter contract and its default, which is what is covered; the single call-site literal is compile-checked by dart analyze. dart analyze --fatal-infos clean; 2/2 tests pass. * refactor(memories): extract shared trip detection and curation helpers Pulls the trip logic private to recent-trip.rule.ts into a pure, unit-tested trip.util.ts that trip_anniversary (slice 5) shares, and introduces the canonical placeKeyOf. placeKeyOf matters beyond tidiness: on_this_day_place built its place key as `${country ?? ''}:${city}` and recent_trip as `${country}:${city ?? ''}`. Slice 5 relies on both place-based rules emitting an IDENTICAL dedupe key so the engine's seenDedupeKeys collapses them; with the divergent formats that collapse would have silently never fired. recent_trip keeps its exact behaviour: curateTripAssets(assets, 10) preserves today's ceiling, and its spec passes byte-identical as the regression guard. findTripStartingOn is the one piece of genuinely new logic. TDD: spec red (module not found) -> 29/29 green; 171/171 memory-rules, tsc + eslint clean. * feat(memories): add trip_anniversary memory type Resurfaces a past multi-day trip on the anniversary of the day it began, detected fresh from location data so imported historical libraries are covered (recent_trip only ever fired for trips taken while already running Gallery). Cheap-probe-first: one on-this-day query prunes the common case before any cluster query runs. A trip is confirmed by starting the cluster window 5 days BEFORE the anniversary, so a cluster whose firstDate lands on the anniversary provably had no photos there beforehand -- a genuine arrival, not a mid-stay. Also makes on_this_day_place share the place_day: dedupe namespace so the engine's existing seenDedupeKeys collapses the two rules (they fire on the same signal and would otherwise take both daily slots with near-identical content). That collapse needs a TOTAL score precedence, so on_this_day_place's previously-unbounded count term is capped at 30: its max becomes 199 while trip_anniversary's floor is 275. Asserted as an invariant test derived from both rules' exported constants, not hardcoded numbers. Luxon silently clamps Feb 29 -> Feb 28 in non-leap years, so the rule skips years where the clamp changed the date rather than comparing the wrong day. TDD: spec red (module not found) -> 18/18 green, incl. mutation checks confirming each guard is load-bearing. 266/266 server, tsc + eslint clean, web 3/3. * feat(memories): add theme catalog and smart-search port for themed memories Themed memories ride the CLIP embeddings smart search already computes per asset -- no auto-classification dependency, no new ML model, no new infra. The rule (slice 7) depends only on a narrow ThemeSearchPort, so it unit-tests against a fake with no ML service and no DB. The adapter behind it memoizes each theme's embedding per (modelName, language), because encodeText is an ML HTTP call and createMemoryRules runs once per user per day -- encoding inside the rule would mean one round-trip per user per night. Theme text is user-independent, so it is encoded once and reused. searchAssetBuilder filters takenAfter/takenBefore on asset.fileCreatedAt (utils/database.ts:725-726), not localDateTime, which every memory rule buckets by. The adapter widens the window 2 days each side so no in-year asset is lost to that skew; the rule then filters precisely by localDateTime. resolveEmbedding never throws: smart search disabled or ML unreachable both yield null, which the rule treats as 'no candidates'. TDD: both specs red (module not found) -> 6/6 and 8/8 green; 260/260, tsc + eslint clean; SDK regenerated (themeMaxDistance only). * feat(memories): add themed memory type backed by smart search 'Sunsets from 2023' -- a curated 6-theme vocabulary matched against the CLIP embeddings smart search already computes. No auto-classification dependency. Fires on day 22 with one theme per MONTH. Both choices are load-bearing: a daily-firing rule with a multi-day window would hold both of the engine's 2 slots for a week at a time, and createRuleMemories returns early when remainingSlots is 0 -- meaning NO rule evaluates at all -- which could permanently starve trip_anniversary. Month-based rotation is also stable across year and leap boundaries, where day-of-year is not (365 % 6 != 0). Emits ALL qualifying years (capped at 3), not just the best: hasRuleMemory dedup happens in the engine after the rule returns, and recencyBonus always favours the newest year, so a single-candidate rule would make older years permanently unreachable once the newest year's memory existed. Re-filters results by localDateTime year because the port's bounds hit asset.fileCreatedAt, applying MIN_ASSETS after that filter. MemoryService memoizes the adapter behind an overridable createThemeSearchPort() seam, so a theme is encoded once per process rather than once per user per night, and slice 8's medium test can inject a stub without a live ML service. TDD: spec red (module not found) -> 13/13 green. Full server suite 4984 passed; memory.service.spec.ts untouched (its arg-agnostic spies still hold); tsc + eslint clean; web 3/3. * test(memories): end-to-end generation coverage for tier 3 memory types Eight medium tests against a real DB, each rule with a positive case and negatives that fail for a DIFFERENT reason than the positive passes: video_moments (wrong trigger day / out-of-band duration), trip_anniversary (single-day cluster fails MIN_TRIP_DAYS specifically, with home inference and asset count held fixed), themed (null embedding), plus a slot-budget test guarding the RULE_DAILY_LIMIT early-return that would otherwise let a multi-day rule starve every other rule. themed is exercised through the createThemeSearchPort seam with a stub, so no live ML service is needed. Also closes a pre-existing connection-pool leak in this file: every test's beforeEach opened a new Kysely pool via getKyselyDB() and none were closed. Harmless at 18 tests, it hit 'too many clients already' at 26. Adds an afterEach that destroys each pool. Documents themeMaxDistance in config-file.md and notes that Themes requires smart search. NOT DONE — threshold calibration (spec 4.2) needs an RC on the personal instance and is a human-run gate; 0.3 remains an unvalidated placeholder. * chore(open-api): regenerate Dart client for themeMaxDistance The TypeScript SDK was regenerated with the config field but the Dart client was not, so CI's OpenAPI Clients job failed on a dirty system_config_memories_dto.dart. make open-api generates BOTH clients; running only open-api-typescript leaves the Dart side stale. * feat(memories): person throwback — resurface a chapter with someone dormant 12+ months (#9) (#831) * docs(memories): spec for person_throwback memory type (#9) * docs(memories): fix trigger-day starvation, score band, and read-skew gaps in person_throwback spec * docs(memories): fix memoryAt type, trim dead fields, pin worked score, add impl-loop slices * feat(memories): add densestChapter window helper * docs(memories): correct i18n key shape and web spec sites; add slice plans * feat(memories): add dormant-person and chapter-window queries * feat(memories): add person_throwback memory rule * docs(memories): correct row-3 chapter year and chapterYear derivation * feat(memories): register person_throwback memory type * feat(web): expose person_throwback in memory settings * test(memories): end-to-end coverage for person_throwback + docs * docs: format slice plan files for docs prettier gate * fix(memories): make themed memories fire, and tune person_throwback dormancy `memories.themeMaxDistance` shipped at 0.3, which emits zero themed memories on a real library: a sweep over 65,685 embeddings returned nothing at 0.3 and 0.5, and genuine matches at 0.75. The default was calibrated on the scale of the image-to-image thresholds used elsewhere (duplicateDetection 0.01, facialRecognition 0.5), but this is a text-to-image distance, where CLIP's modality gap floors the value near ~0.6 even for a perfect match — so 0.3 is unreachable. Default is now 0.75, matching what the admin UI already recommends for `machineLearning.clip.maxDistance` (same metric, same embeddings). `updateConfig` persists only the diff against defaults, so installs that never overrode the value pick this up on upgrade. person_throwback's dormancy window was a hardcoded 12 months, which made the rule effectively unfireable: a 65k-asset library with 12 named people had a most-dormant gap of only 9 months. It is now `memories.personThrowbackDormancyMonths`, defaulting to 6 (range 1-120), so a wrong threshold is a settings change rather than a redeploy. Both knobs were previously config-file-only. They are now in Administration > Settings > Memories, indented directly under the memory type they affect and gated on that type being enabled, so it is unambiguous which type each knob tunes. Adds a test asserting all 12 server-registered types render a switch, guarding against the UI list drifting from the server registry.
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What
Adds the first Tier 2 memory type —
people_together: a pair of people (or pets) who were photographed together a lot in the current calendar month of a past year. Titled "Anna & Ben", subtitled "18 photos together · June 2023".Reframed from the roadmap's "You & [person]" (#5) to a pair memory — the schema has no reliable account-owner→person mapping, so "You & X" would need a fragile heuristic. Date-anchored like
month_recap: fires on day 20 with a 7-day visibility window.Spec:
docs/plans/2026-07-16-memory-types-tier2-people-together-spec.mdHow — 4 TDD slices
pairCountscuration helper — pure pair co-occurrence (dedupes a person's multiple faces per asset, no self-pairs), distinct-day counting, deterministic ordering.getMemoryFacesForPeriodrepository query — flat face rows for named, non-hidden people and pets;@GenerateSqlsnapshot regenerated.people_togetherrule (end-to-end) — rule + registry + metadata + admin toggle + 4en.jsonkeys.Key decisions
month_recap(day 1) andfavorites_throwback(day 15) so it never starvesmonth_recap's single day-1 slot. Zero engine change — reuses thevisibleForDaysmachinery shipped in Tier 1.Anna & RexandRex & Whiskersboth possible.Tests
pairCounts(9 cases), rule spec (13 cases, exactscorepinned), metadata/registry — all green.getMemoryFacesForPeriodfilter tests + 2 end-to-end generation tests (positive/negative, non-tautology verified).tsc/eslint --max-warnings 0/prettierclean; SQL snapshot regenerated (clean diff); mobile parity N/A (renders rule memories generically — verified).Stacked on #789
Based on
feat/memory-types-tier1(Tier 1, PR #789). GitHub will auto-retarget this tomainonce #789 merges.