Replace ScoredCandidate.signal_snapshot Vec<(String,f64)> with
SmallVec<[(SignalKey,f64); 4]> where SignalKey is Static(&'static str)
| Owned(Arc<str>):
- Compile-time-constant labels (sort bases, relevance, co_engagement,
preference_affinity) -> Static: zero allocation, pointer-copy clone.
- Dynamic {signal}_boost/_penalty/_decay labels built once per query in a
RuleLabels hoist (was format! per-candidate-per-rule), shared by Arc.
Cohort rescore hoisted the same way.
- scored accumulator pre-sized to candidates.len().
- Owned Strings rebuilt only at the two response-assembly sites (<= limit).
Byte-identical output: full 1896-test lib suite green. Measured win
(cargo bench --bench ranking, committed-base vs working-tree):
score_200_hot 23.89->21.04us (-11.9%), score_200_trending
27.66->25.85us (-6.5%), score_200_full_pipeline 27.88->26.97us (-3.3%).
smallvec promoted from the lock to a direct dep (no new dependency
surface). perf-sweep doc updated; T2 (per-term DashMap collapse) next.
Resolves every finding in docs/reviews/M0-M10-code-review-2026-06-08-pass2.md
across the engine, network, server, and CLI crates: session restore,
replication/CRDT, WAL format and recovery, storage indexes, query/ranking
executors, cohort/community governance, and scatter-gather routing.
Adds regression tests:
- review_pass2_creator_search_filter
- review_pass2_d_replication
- review_pass2_query_for_session
- review_pass2_storage_indexes_bitmap_cache
- review_pass2_zone_a_sessions
Verified: cargo clippy -D warnings and full test suite green across all crates.
- Eliminate the tidal/ self-contained doc mirror; docs now have two canonical
homes (root *.md and docs/), with planning/specs/research/reviews moved up
- Remove stale .agents/skills and .ai mirrors; canonicalize skills under .claude/
- Add pre-commit hook + scripts/check-docs.sh doc-guard + scripts/install-hooks.sh
- Implement M0-M10 seven-dimension review findings across engine, net, server,
and tidalctl (durability, replication, query, WAL, storage, CLI hardening)
Resolves the 142 findings from tidal/docs/reviews/CODE_REVIEW_m0-m10.md across
the engine, server, net, and CLI surfaces:
- WAL/session-journal durability, checkpoint format, and crash-recovery hardening
- Replication shipper/receiver, tenant isolation, and migration paths
- Cluster scatter-gather, router, standalone server + health/offload endpoints
- tidalctl refactored into command modules with JSON output and WAL-state tooling
- Cohort, governance, signal-ledger, and vector-registry correctness fixes
- Expanded UAT/integration/durability test coverage across all milestones
- Score and boost contributions now captured per candidate in signal_snapshot:
score_by_sort() returns (f64, Vec<(String, f64)>) with named signal values
(e.g. view_velocity, share_velocity, view, like). Boost contributions are
appended as `{signal}_boost`. compute_raw_score() threads the snapshot
through; score_inner() and score_personalized() write it onto ScoredCandidate
instead of always initialising to vec![].
- Quickstart switched from `trending` to `hot` profile. The trending profile
scores by 24h velocity, which requires signals to arrive over real elapsed
time to populate hour-level bucket aggregates — impossible in a self-contained
demo. The hot profile (AllTime view count + age decay) works with any timestamp
and produces clearly differentiated scores. Signals now use different counts
per item to drive meaningful ranking output.
Add support for defining ranking profiles in schema YAML, allowing
deployments to override builtin profiles with deployment-specific
signal names and tuning parameters.
- Add override_register() to ProfileRegistry for clean builtin replacement
- Add with_profiles() to TidalDbBuilder to thread schema profiles
- Parse profiles section in config.rs with full sort/strategy/agg support
- Validate that profile signal references exist in schema at startup
- Change load_schema() to return (Schema, Vec<RankingProfile>)
This closes the gap where the builtin for_you profile referenced
signals (view, like, share) that don't exist in deployment schemas,
causing all feed scores to normalize to 1.0.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
