Sven (AAMOS AI)
c2cc3878dd
- 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
114 lines
4.2 KiB
TypeScript
114 lines
4.2 KiB
TypeScript
import {
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doublePrecision,
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index,
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integer,
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jsonb,
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pgTable,
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text,
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timestamp,
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uniqueIndex,
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uuid,
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} from "drizzle-orm/pg-core";
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import { createdAt, jobStatusEnum, jobTypeEnum, scanTypeEnum, updatedAt } from "./_shared.js";
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import { households } from "./households.js";
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import { users } from "./users.js";
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/**
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* Asynkrona skannings-/AI-jobb (spec §50, §54):
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* App → signed S3 upload → API job → worker → AAMOS → result → app.
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*/
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export const scanJobs = pgTable(
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"scan_jobs",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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userId: uuid("user_id")
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.notNull()
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.references(() => users.id, { onDelete: "cascade" }),
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householdId: uuid("household_id").references(() => households.id, { onDelete: "set null" }),
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scanType: scanTypeEnum("scan_type").notNull(),
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jobType: jobTypeEnum("job_type").notNull(),
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status: jobStatusEnum("status").notNull().default("queued"),
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s3Keys: text("s3_keys").array().notNull().default([]),
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context: jsonb("context"),
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/** Strukturerat AI-resultat validerat mot ai-contracts innan lagring. */
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result: jsonb("result"),
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error: text("error"),
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modelVersion: text("model_version"),
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promptVersion: text("prompt_version"),
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latencyMs: integer("latency_ms"),
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costUsd: doublePrecision("cost_usd"),
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attempts: integer("attempts").notNull().default(0),
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completedAt: timestamp("completed_at", { withTimezone: true }),
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createdAt: createdAt(),
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updatedAt: updatedAt(),
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},
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(t) => [
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index("scan_jobs_user_idx").on(t.userId, t.createdAt),
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index("scan_jobs_status_idx").on(t.status),
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],
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);
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/**
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* Verifierade korrigeringar (spec §33): AI sa X, användaren sa Y.
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* Grund för träningsdata – används ENDAST enligt samtycke.
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*/
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export const aiCorrections = pgTable(
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"ai_corrections",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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scanJobId: uuid("scan_job_id").references(() => scanJobs.id, { onDelete: "set null" }),
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userId: uuid("user_id")
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.notNull()
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.references(() => users.id, { onDelete: "cascade" }),
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taskType: text("task_type").notNull(),
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aiOutput: jsonb("ai_output").notNull(),
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userCorrection: jsonb("user_correction").notNull(),
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/** The specific AI proposal item this correction refers to. */
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proposal: jsonb("proposal"),
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/** First stored image key when image_training consent granted, otherwise null. */
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imageS3Key: text("image_s3_key"),
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modelVersion: text("model_version"),
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promptVersion: text("prompt_version"),
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/** Snapshot av samtyckesläget när korrigeringen skapades. */
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consentSnapshot: jsonb("consent_snapshot").notNull(),
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exportedToTraining: timestamp("exported_to_training", { withTimezone: true }),
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trainingBatchId: text("training_batch_id"),
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createdAt: createdAt(),
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},
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(t) => [index("ai_corrections_task_idx").on(t.taskType, t.createdAt)],
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);
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/**
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* App-owned, versioned training dataset (spec §33 + Skiva 1 fixrunda).
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* BUILD_TRAINING_SAMPLE banks eligible ai_corrections here instead of
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* calling external AAMOS/Gemini runTask. The bank is the consented place
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* for richer (image, proposal, correction) data.
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*/
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export const aiTrainingBank = pgTable(
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"ai_training_bank",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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correctionId: uuid("correction_id")
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.notNull()
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.references(() => aiCorrections.id, { onDelete: "cascade" }),
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scanJobId: uuid("scan_job_id").references(() => scanJobs.id, { onDelete: "set null" }),
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version: text("version").notNull().default("v1"),
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taskType: text("task_type").notNull(),
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imageS3Key: text("image_s3_key"),
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proposal: jsonb("proposal").notNull(),
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action: text("action").notNull(),
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corrected: jsonb("corrected"),
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modelVersion: text("model_version"),
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promptVersion: text("prompt_version"),
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consentSnapshot: jsonb("consent_snapshot").notNull().default({}),
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exportedAt: timestamp("exported_at", { withTimezone: true }).notNull().defaultNow(),
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createdAt: createdAt(),
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},
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(t) => [
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uniqueIndex("ai_training_bank_correction_unique").on(t.correctionId),
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index("ai_training_bank_version_idx").on(t.version, t.taskType),
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index("ai_training_bank_scan_job_idx").on(t.scanJobId),
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index("ai_training_bank_created_at_idx").on(t.createdAt),
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],
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);
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