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Marc-André BombeckandClaude Opus 4.7
badc893853
v1.4.16 phase B5e: ship the table that backs per-recommendation thumbs-up / thumbs-down feedback. Each row captures (userId, recId, recText) with snapshotted severity + metric-source attributes plus the provider + prompt-version that produced the rec — server-fills the attribution from the user's most recent cached payload so the client can't tamper. Dedup key (userId, recommendationId, recommendationText) lets a regeneration that rewrites the same id with new text re-rate cleanly while blocking accidental double-submission of the same (id + text). Indexes: (userId, createdAt) for the per-user timeline and (severity, helpful, createdAt) for the daily aggregator's slice. Both are needed by the v1.4.16 admin AI quality preview. GDPR: ON DELETE CASCADE through users; cascade-delete integration test now seeds and asserts a feedback row. Same migration adds AppSettings.adminAiInsightsFeedbackSummary — the JSON blob the daily aggregator (next commit) writes a per-(severity x provider x prompt) helpful-rate to. Null until the aggregator runs or until there is feedback in the 30-day window. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
57 lines
2.4 KiB
SQL
57 lines
2.4 KiB
SQL
-- v1.4.16 phase B5e: per-recommendation thumbs-up/thumbs-down feedback.
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--
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-- Each row captures one rating event from one user against one
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-- recommendation. The dedup key (userId, recommendationId,
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-- recommendationText) lets a regeneration that rewrites the same id
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-- with new text re-rate cleanly while preventing accidental double-
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-- submission of the same (id + text) pair.
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--
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-- Provider attribution (providerType + promptVersion) is filled
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-- server-side from the user's most recent cached insight payload, so
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-- the client can't tamper with which provider / prompt version a
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-- thumbs-down is attributed to. The aggregator slices on these to
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-- power the admin AI quality dashboard.
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--
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-- Indexes:
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-- (userId, createdAt) — per-user timeline lookups
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-- (severity, helpful, createdAt) — aggregator's cross-user slice
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-- The unique key doubles as a (userId, recommendationId, text) lookup.
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--
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-- GDPR: ON DELETE CASCADE through users → personal data follows the
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-- account; covered in tests/integration/cascade-delete.test.ts.
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CREATE TABLE "recommendation_feedback" (
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"id" TEXT NOT NULL,
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"user_id" TEXT NOT NULL,
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"recommendation_id" TEXT NOT NULL,
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"recommendation_text" TEXT NOT NULL,
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"recommendation_severity" TEXT NOT NULL,
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"metric_source_type" TEXT NOT NULL,
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"metric_source_time_range" TEXT NOT NULL,
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"helpful" BOOLEAN NOT NULL,
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"provider_type" TEXT NOT NULL,
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"prompt_version" TEXT NOT NULL,
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"created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
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CONSTRAINT "recommendation_feedback_pkey" PRIMARY KEY ("id")
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);
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CREATE UNIQUE INDEX "rec_feedback_user_rec_text_key"
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ON "recommendation_feedback" ("user_id", "recommendation_id", "recommendation_text");
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CREATE INDEX "recommendation_feedback_user_id_created_at_idx"
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ON "recommendation_feedback" ("user_id", "created_at");
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CREATE INDEX "recommendation_feedback_recommendation_severity_helpful_cre_idx"
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ON "recommendation_feedback" ("recommendation_severity", "helpful", "created_at");
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ALTER TABLE "recommendation_feedback"
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ADD CONSTRAINT "recommendation_feedback_user_id_fkey"
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FOREIGN KEY ("user_id") REFERENCES "users"("id")
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ON DELETE CASCADE ON UPDATE CASCADE;
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-- v1.4.16 phase B5e: daily-aggregated feedback summary written by the
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-- pg-boss `feedback-aggregator` job. Read by /admin/ai-quality.
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ALTER TABLE "app_settings"
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ADD COLUMN "admin_ai_insights_feedback_summary" JSONB;
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