Adds a per-feature freshness summary to /admin/data-quality so the admin
can spot features that are systematically stale or never computed:
totalEligible — distinct users with tip_views in the last 30 days
missing — eligible users with no row stored for the feature
stale — eligible users whose stored row is past its TTL
Backend exposes summarizeProfileFreshness() in profile/builder.ts; one
query per feature joins eligible users LEFT JOIN profile rows.
Coverage = (eligible − missing − stale) / eligible, colored
green/yellow/red via the new PctGood helper (high-is-good, opposite of
the existing Pct used for missing-feature/stale-token rates).
Refs #81.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Surfaces phase A's profile features in /admin/users/:id so we can verify
they're actually computing useful values before investing in bandit
consumption. The detail GET now includes profile rows joined with registry
metadata (name, value, age, fresh badge, ttlSec, description). Read does
NOT trigger compute — staleness must be visible. A new POST
.../profile/rebuild button force-recomputes and is audit-logged like
reset-bandit.
Refs #81.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
/admin/reward-analytics now surfaces served count, reaction rate, and avg
reward grouped by llm_model, prompt_version, and tip_kind — closing the
loop so model/prompt iterations in M2 are legible next to the bandit
policy view. Data comes from the tip_scores columns added in ffdf707 and
tip_feedback.reward_milli; bandit-only tips show as "(bandit-only)".
Closes#92.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Removes the in-shell MLOps pages (experiments, models, simulations) and their
client API helpers in favour of external MLflow/Airflow links. Nav is regrouped
into Signals / Recommender status / Ops sections for clarity.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
