fix(skiva-1): spara accept, bildref, lokal träningsbank, lärande-loop-dok

- confirm-loop sparar nu även action=accept som positivt exempel i ai_corrections
- imageS3Key sparas vid image_training-samtycke, annars null
- ai_corrections.proposal lagrar det specifika AI-förslaget per item
- BUILD_TRAINING_SAMPLE bankar lokalt till ai_training_bank (ej externt runTask)
- Jobbet kastar aldrig i AAMOS_MODE=gemini
- Migration 0020: ai_corrections.image_s3_key/proposal + ai_training_bank
- docs/28-lärande-loop.md: datakontrakt, samtycke, retention, GDPR-radering
- Tester: accept + bildref (ja/nej) + lokal bank i gemini-läge
- REQUIRE_REAL=1 är AI-fokuserat i gemini-läge; staging mail/S3 får vara mock

packages/database/src/schema/scans.ts

@@ -6,6 +6,7 @@ import {
   pgTable,
   text,
   timestamp,
+  uniqueIndex,
   uuid,
 } from "drizzle-orm/pg-core";
 import { createdAt, jobStatusEnum, jobTypeEnum, scanTypeEnum, updatedAt } from "./_shared.js";
@@ -62,6 +63,10 @@ export const aiCorrections = pgTable(
     taskType: text("task_type").notNull(),
     aiOutput: jsonb("ai_output").notNull(),
     userCorrection: jsonb("user_correction").notNull(),
+    /** The specific AI proposal item this correction refers to. */
+    proposal: jsonb("proposal"),
+    /** First stored image key when image_training consent granted, otherwise null. */
+    imageS3Key: text("image_s3_key"),
     modelVersion: text("model_version"),
     promptVersion: text("prompt_version"),
     /** Snapshot av samtyckesläget när korrigeringen skapades. */
@@ -72,3 +77,37 @@ export const aiCorrections = pgTable(
   },
   (t) => [index("ai_corrections_task_idx").on(t.taskType, t.createdAt)],
 );
+
+/**
+ * App-owned, versioned training dataset (spec §33 + Skiva 1 fixrunda).
+ * BUILD_TRAINING_SAMPLE banks eligible ai_corrections here instead of
+ * calling external AAMOS/Gemini runTask. The bank is the consented place
+ * for richer (image, proposal, correction) data.
+ */
+export const aiTrainingBank = pgTable(
+  "ai_training_bank",
+  {
+    id: uuid("id").primaryKey().defaultRandom(),
+    correctionId: uuid("correction_id")
+      .notNull()
+      .references(() => aiCorrections.id, { onDelete: "cascade" }),
+    scanJobId: uuid("scan_job_id").references(() => scanJobs.id, { onDelete: "set null" }),
+    version: text("version").notNull().default("v1"),
+    taskType: text("task_type").notNull(),
+    imageS3Key: text("image_s3_key"),
+    proposal: jsonb("proposal").notNull(),
+    action: text("action").notNull(),
+    corrected: jsonb("corrected"),
+    modelVersion: text("model_version"),
+    promptVersion: text("prompt_version"),
+    consentSnapshot: jsonb("consent_snapshot").notNull().default({}),
+    exportedAt: timestamp("exported_at", { withTimezone: true }).notNull().defaultNow(),
+    createdAt: createdAt(),
+  },
+  (t) => [
+    uniqueIndex("ai_training_bank_correction_unique").on(t.correctionId),
+    index("ai_training_bank_version_idx").on(t.version, t.taskType),
+    index("ai_training_bank_scan_job_idx").on(t.scanJobId),
+    index("ai_training_bank_created_at_idx").on(t.createdAt),
+  ],
+);