feat: always-on Insights — correlation analysis over viewing habits
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Conservative, live insights (ADR-0010) derived from each user's diary: rating lift by genre (first-time watches only), genre seasonality vs a uniform 1/12 month baseline, medium weekend-lift, and watch-time rhythm. - domain: WatchRow model, InsightsQuery port, pure insights_analyzer with all honesty thresholds (sample minimums, strength cutoffs, suppressions for import noise), unit-tested - adapters: thin Sqlite/Postgres fetch twins, reusing WrapUp's genre fetch - application: get_insights use case, InsightsGroup in Deps - composition/server: wiring through Repositories/DatabaseOutput - presentation: GET /api/v1/insights handler, typed serde-tagged DTOs, openapi doc - spa: /insights route (shadcn cards), insights feature hook, profile entry link, en locale strings - server test: end-to-end seed sqlite → HTTP → rating lift + rhythm Also records ADR-0010, defines "Insight" in the glossary, and includes pre-existing worktree comment-stripping cleanups.
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@@ -50,11 +50,6 @@ pub struct ListImportProfilesDeps {
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pub import_profile: Arc<dyn ImportProfileRepository>,
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}
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/// Backs `apply_profile_and_map`, which internally drives `apply_profile::execute`
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/// then `apply_mapping::execute` — these fields are exactly the union of
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/// `ApplyProfileDeps` and `ApplyMappingDeps`'s fields, cloned once here and used to
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/// build each nested deps struct inline at the call site (see that file's doc
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/// comment for why: no use-case signature changes, per this task's constraints).
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pub struct ApplyProfileAndMapDeps {
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pub import_profile: Arc<dyn ImportProfileRepository>,
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pub import_session: Arc<dyn ImportSessionRepository>,
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