feat(ops): /ops/v1/summary med ai/aktivering/engagemang/betalning/jobb/sakerhet + canary

- Nya toppnivåblock i /ops/v1/summary: ai_scan, aktivering, engagemang,
  betalning, jobb, sakerhet. Alla värden läses från DB/cache; null där data
  saknas, inga påhittade värden.
- AI-kostnad i USD mikrocent (native); intäkter fortsatt SEK-öre.
- product_analytics_events är källa för volym, latens, lyckandegrad,
  felfrekvens, aktivering, retention och engagemang.
- Nya händelser: scan_started (API) och scan_failed/scan_completed med
  latencyMs + felkod (worker). latencyMs flödar nu in i scan_completed.
- Safety canary-jobb varje timme: re-härleder allergener för alla recept,
  räknar överifierade publika recept och food-safety-lint; skriver EN rad till
  ops_safety_canary. Endpointen läser endast sista raden.
- Cache-refresh-jobb var 60 s skriver hela summariet till Redis; endpointen
  serverar cachen med 503 vid cache-miss.
- Bearer-token-skydd med OPS_TOKEN; HTTPS-tvång i produktion; ingen PII.
- Tester för endpoint, auth, cache-miss och safety canary.
This commit is contained in:
Sven (AAMOS AI)
2026-08-10 05:47:43 +07:00
parent f4a603e977
commit 8f20b2ef1b
27 changed files with 1169 additions and 41 deletions
+9
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@@ -52,6 +52,9 @@ const configSchema = z.object({
GEMINI_TIMEOUT_MS: z.coerce.number().int().default(60_000),
GEMINI_DAILY_BUDGET_USD: z.coerce.number().default(0),
/** Strong, rotated ops token for /ops/v1/summary. Set via SSM in production. */
OPS_TOKEN: z.string().min(1).default("dev-ops-token-change-me"),
APP_STORE_MODE: z.enum(["production", "sandbox"]).default("sandbox"),
EMAIL_MODE: z.enum(["log", "smtp"]).default("log"),
SMTP_HOST: z.string().default(""),
@@ -98,6 +101,12 @@ export function loadConfig(env: NodeJS.ProcessEnv = process.env): AppConfig {
console.error("SÄKERHETSSTOPP: AAMOS_MODE=gemini kräver GEMINI_API_KEY i produktion.");
process.exit(1);
}
if (!cfg.OPS_TOKEN || cfg.OPS_TOKEN.length < 32 || cfg.OPS_TOKEN.startsWith("dev-ops-token")) {
console.error(
"SÄKERHETSSTOPP: OPS_TOKEN måste vara en stark, icke-default hemlighet i produktion.",
);
process.exit(1);
}
}
return cfg;
}
+3 -29
View File
@@ -2,7 +2,6 @@ import { createHash, randomBytes, randomUUID } from "node:crypto";
import { and, eq } from "drizzle-orm";
import type { Database } from "@app/database";
import { schema } from "@app/database";
import type { AnalyticsEvent } from "@app/analytics";
import type { DecayProfile } from "@app/inventory-engine";
import type { EventType } from "@app/shared-types";
import type { NewDomainEvent } from "@app/events";
@@ -118,34 +117,9 @@ export async function emitEvent<T extends EventType>(
});
}
/** Track product analytics server-side if user opted in. */
export async function trackProductAnalytics(
db: Database,
userId: string,
event: AnalyticsEvent,
): Promise<void> {
const optedIn = await db
.select({ status: schema.userConsents.status })
.from(schema.userConsents)
.where(and(eq(schema.userConsents.userId, userId), eq(schema.userConsents.kind, "product_analytics")))
.limit(1);
if (optedIn[0] && optedIn[0].status !== "granted") return;
await db.insert(schema.productAnalyticsEvents).values({
occurredAt: event.occurredAt ? new Date(event.occurredAt) : new Date(),
receivedAt: new Date(),
eventName: event.name,
anonymousId: event.anonymousId ?? null,
sessionId: event.sessionId ?? null,
userId,
householdId: event.householdId ?? null,
appVersion: event.appVersion ?? null,
platform: event.platform ?? null,
locale: event.locale ?? null,
experimentVariant: event.experimentVariant ?? null,
properties: event.properties ?? {},
});
}
// Track product analytics server-side if user opted in.
// Implementation lives in @app/database so workers can reuse it.
export { trackProductAnalytics } from "@app/database/analytics";
/** Audit-logg (spec §56). */
export async function audit(
+62
View File
@@ -0,0 +1,62 @@
import { timingSafeEqual } from "node:crypto";
import type { FastifyInstance, FastifyReply, FastifyRequest } from "fastify";
import { errors } from "../lib/errors.js";
const CACHE_KEY = "ops:summary:cache";
const CACHE_TS_KEY = "ops:summary:computed_at";
function requireOpsToken(app: FastifyInstance) {
return async (req: FastifyRequest, reply: FastifyReply): Promise<void> => {
if (app.config.NODE_ENV === "production" && req.protocol !== "https") {
return reply
.status(403)
.send({ error: { code: "HTTPS_REQUIRED", message: "Ops-endpointen kräver HTTPS." } });
}
const header = req.headers.authorization ?? "";
const match = /^Bearer\s+(.+)$/.exec(header);
const provided = match?.[1] ?? "";
const expected = app.config.OPS_TOKEN ?? "";
if (!expected || expected.length < 20 || provided.length !== expected.length) {
throw errors.unauthorized();
}
const ok = timingSafeEqual(Buffer.from(provided), Buffer.from(expected));
if (!ok) throw errors.unauthorized();
};
}
/**
* Operations summary endpoint: read-only, token-protected, served from cache.
* Heavy computation is done by the REFRESH_OPS_SUMMARY_CACHE worker job.
*/
export async function opsRoutes(app: FastifyInstance) {
const preHandler = [requireOpsToken(app)];
app.get("/ops/v1/summary", { preHandler }, async (_req, reply) => {
const [json, ts] = await app.redis.mget(CACHE_KEY, CACHE_TS_KEY);
if (!json) {
return reply.status(503).send({
error: {
code: "CACHE_MISS",
message: "Sammanfattningen är inte färdigberäknad än. Vänta på nästa canary-/cache-jobb.",
},
});
}
let summary: Record<string, unknown>;
try {
summary = JSON.parse(json) as Record<string, unknown>;
} catch {
return reply
.status(500)
.send({ error: { code: "CACHE_INVALID", message: "Cachen innehåller ogiltig JSON." } });
}
return reply.send({
...summary,
cached_at: ts ?? summary.as_of,
});
});
}
+14 -2
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@@ -1,6 +1,7 @@
import type { FastifyInstance } from "fastify";
import { and, eq, gt, isNull } from "drizzle-orm";
import { markMilestone, schema } from "@app/database";
import { markMilestone, schema, trackProductAnalytics } from "@app/database";
import { scanStarted } from "@app/analytics";
import type { JobType, ScanType } from "@app/shared-types";
import { confirmScanInputSchema, createScanInputSchema, idParamSchema } from "@app/validation";
import { errors, parse } from "../lib/errors.js";
@@ -108,6 +109,16 @@ export async function scanRoutes(app: FastifyInstance) {
jobType: job.jobType,
correlationId: req.correlationId,
});
await trackProductAnalytics(app.db, req.userId, {
...scanStarted(),
householdId: job.householdId ?? undefined,
properties: {
scanType: job.scanType,
jobType: job.jobType,
},
});
return { ok: true, status: "queued" };
});
@@ -353,7 +364,8 @@ function extractProposals(job: { result: unknown }): ProposalItem[] {
unit: it.unit ?? null,
bestBeforeDate: it.bestBeforeDate ?? null,
confidence: typeof it.confidence === "number" ? it.confidence : null,
requiresConfirmation: typeof it.requiresConfirmation === "boolean" ? it.requiresConfirmation : null,
requiresConfirmation:
typeof it.requiresConfirmation === "boolean" ? it.requiresConfirmation : null,
}));
}
+2
View File
@@ -30,6 +30,7 @@ import { adminWorkersRoutes } from "./routes/admin-workers.js";
import { analyticsRoutes } from "./routes/analytics.js";
import { onboardingRoutes } from "./routes/onboarding.js";
import { activationRoutes } from "./routes/activation.js";
import { opsRoutes } from "./routes/ops.js";
declare module "fastify" {
interface FastifyInstance {
@@ -98,6 +99,7 @@ export async function buildServer(config: AppConfig) {
await app.register(analyticsRoutes);
await app.register(onboardingRoutes);
await app.register(activationRoutes);
await app.register(opsRoutes);
return app;
}
+126
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@@ -0,0 +1,126 @@
import "./setup-env.js";
import { describe, expect, it, beforeAll, afterAll } from "vitest";
import { buildServer } from "../src/server.js";
import { loadConfig } from "../src/config.js";
import { createDatabase, schema } from "@app/database";
import { computeOpsSummary, type OpsQueueSummary } from "@app/database/ops-summary";
const testDb = createDatabase(process.env.TEST_DATABASE_URL!);
const config = loadConfig();
const queueSummary: OpsQueueSummary = {
vantande: 2,
aktiva: 1,
misslyckade_24h: 0,
aldsta_vantande_sek: null,
workers_ok: true,
};
describe("/ops/v1/summary", () => {
let app: Awaited<ReturnType<typeof buildServer>>;
beforeAll(async () => {
app = await buildServer(config);
await app.ready();
await cleanup();
});
afterAll(async () => {
await cleanup();
await app.close();
await testDb.pool.end();
});
async function cleanup() {
await testDb.db.delete(schema.opsSafetyCanary);
await testDb.db.delete(schema.productAnalyticsEvents);
await app.redis.del("ops:summary:cache", "ops:summary:computed_at");
}
it("avvisar anrop utan token", async () => {
const res = await app.inject({ method: "GET", url: "/ops/v1/summary" });
expect(res.statusCode).toBe(401);
});
it("avvisar felaktig token", async () => {
const res = await app.inject({
method: "GET",
url: "/ops/v1/summary",
headers: { authorization: "Bearer wrong-token" },
});
expect(res.statusCode).toBe(401);
});
it("returnerar 503 när cachen saknas", async () => {
await app.redis.del("ops:summary:cache", "ops:summary:computed_at");
const res = await app.inject({
method: "GET",
url: "/ops/v1/summary",
headers: { authorization: `Bearer ${config.OPS_TOKEN}` },
});
expect(res.statusCode).toBe(503);
const body = JSON.parse(res.body) as { error: { code: string } };
expect(body.error.code).toBe("CACHE_MISS");
});
it("serverar cachad summary med rätt block", async () => {
const now = new Date();
await testDb.db.insert(schema.productAnalyticsEvents).values([
{ eventName: "scan_started", occurredAt: now, properties: {}, userId: null },
{
eventName: "scan_completed",
occurredAt: now,
properties: { latencyMs: 120 },
userId: null,
},
{
eventName: "scan_completed",
occurredAt: now,
properties: { latencyMs: 240 },
userId: null,
},
{
eventName: "cooking_session_completed",
occurredAt: now,
properties: {},
userId: null,
},
]);
await testDb.db.insert(schema.opsSafetyCanary).values({
allergenInvariantBrott: 0,
overifieradeVisade: 3,
foodSafetyLintAvvisade7d: 1,
});
const summary = await computeOpsSummary({
db: testDb.db,
budgetUsd: 0,
queueSummary,
});
await app.redis.set("ops:summary:cache", JSON.stringify(summary), "EX", 60);
await app.redis.set("ops:summary:computed_at", summary.as_of, "EX", 60);
const res = await app.inject({
method: "GET",
url: "/ops/v1/summary",
headers: { authorization: `Bearer ${config.OPS_TOKEN}` },
});
expect(res.statusCode).toBe(200);
const body = JSON.parse(res.body) as {
ai_scan: { scans_24h: number; latens_p50_ms: number | null };
engagemang: { lagade_maltider_24h: number };
sakerhet: { overifierade_visade: number; senaste_kontroll: string | null };
jobb: { vantande: number; workers_ok: boolean };
cached_at: string;
};
expect(body.ai_scan.scans_24h).toBe(2);
expect(body.ai_scan.latens_p50_ms).toBeGreaterThan(0);
expect(body.engagemang.lagade_maltider_24h).toBe(1);
expect(body.sakerhet.overifierade_visade).toBe(3);
expect(body.sakerhet.senaste_kontroll).toBeTruthy();
expect(body.jobb.vantande).toBe(2);
expect(body.jobb.workers_ok).toBe(true);
expect(body.cached_at).toBe(summary.as_of);
});
});
+3 -1
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@@ -8,8 +8,10 @@ process.env.AAMOS_MODE = "mock";
process.env.EMAIL_MODE = "log";
process.env.S3_MODE = "mock";
process.env.LOG_LEVEL = "error";
process.env.OPS_TOKEN = "test-ops-token-not-for-production";
// Local test database fallback tests still need a Postgres instance, but
// the connection string is not a secret and the value is predictable.
process.env.TEST_DATABASE_URL ||= "postgres://app_user:app_dev_password@localhost:5432/cibello_test";
process.env.TEST_DATABASE_URL ||=
"postgres://app_user:app_dev_password@localhost:5432/cibello_test";
process.env.DATABASE_URL = process.env.TEST_DATABASE_URL;
+2
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@@ -15,6 +15,7 @@
},
"dependencies": {
"@app/ai-contracts": "workspace:*",
"@app/analytics": "workspace:*",
"@app/database": "workspace:*",
"@app/events": "workspace:*",
"@app/inventory-engine": "workspace:*",
@@ -37,6 +38,7 @@
"tsup": {
"noExternal": [
"@app/ai-contracts",
"@app/analytics",
"@app/database",
"@app/events",
"@app/inventory-engine",
+8 -2
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@@ -18,6 +18,7 @@ import type { Redis } from "ioredis";
export interface WorkerContext {
db: Database;
aamos: AamosClient;
redis?: Redis;
/** Bygger läs-URL för lagrade bilder (samma signaturlogik som API:ts mock-S3). */
readUrl: (key: string) => string;
apiBaseUrl: string;
@@ -45,7 +46,9 @@ class RedisBudgetStore implements BudgetStore {
private secondsUntilMidnightUtc(): number {
const now = new Date();
const midnight = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate() + 1));
const midnight = new Date(
Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate() + 1),
);
return Math.max(1, Math.floor((midnight.getTime() - now.getTime()) / 1000));
}
}
@@ -56,7 +59,9 @@ export function createContext(redis?: Redis): WorkerContext {
throw new Error("Missing DATABASE_URL. Worker must connect explicitly to the app database.");
}
const { db, pool } = createDatabase(databaseUrl);
const budgetStore = redis ? new RedisBudgetStore(redis, `gemini:daily:budget:${new Date().toISOString().slice(0, 10)}`) : undefined;
const budgetStore = redis
? new RedisBudgetStore(redis, `gemini:daily:budget:${new Date().toISOString().slice(0, 10)}`)
: undefined;
const aamos = createAamosClient(undefined, { budgetStore });
const apiBaseUrl = process.env.API_BASE_URL ?? "http://localhost:4000";
const secret = process.env.ENTITLEMENT_SIGNING_SECRET ?? "dev-only-change-me-three";
@@ -64,6 +69,7 @@ export function createContext(redis?: Redis): WorkerContext {
return {
db,
aamos,
redis,
apiBaseUrl,
readUrl: (key: string) => {
const sig = createHmac("sha256", secret).update(key).digest("hex").slice(0, 32);
+38 -2
View File
@@ -20,6 +20,8 @@ import {
processTrainingExport,
processTrustDecay,
} from "./processors/maintenance.js";
import { processSafetyCanary } from "./processors/safety-canary.js";
import { refreshOpsSummaryCache } from "./processors/ops-summary.js";
import {
DEAD_LETTER_QUEUE_NAME,
@@ -131,6 +133,18 @@ const worker = new Worker(
return;
}
case "RUN_SAFETY_CANARY": {
const result = await processSafetyCanary(ctx);
log(`Safety canary: ${JSON.stringify(result)}`);
return;
}
case "REFRESH_OPS_SUMMARY_CACHE": {
await refreshOpsSummaryCache(ctx);
log("Ops summary cache uppdaterad.");
return;
}
// Deterministiska/planerade jobb som inte kräver egen processor ännu
case "NORMALIZE_PRODUCTS":
case "DEDUPLICATE_INVENTORY":
@@ -230,12 +244,20 @@ async function registerRepeatableJobs() {
await queue.upsertJobScheduler(
"scheduler-cooking-timeout",
{ every: 60 * 60 * 1000 }, // varje timme räcker för 24 h-timeout
{ name: "COOKING_SESSION_TIMEOUT", data: { jobType: "COOKING_SESSION_TIMEOUT" }, opts: baseOpts },
{
name: "COOKING_SESSION_TIMEOUT",
data: { jobType: "COOKING_SESSION_TIMEOUT" },
opts: baseOpts,
},
);
await queue.upsertJobScheduler(
"scheduler-expiry",
{ pattern: "0 7 * * *", tz: "Europe/Stockholm" },
{ name: "SEND_EXPIRY_NOTIFICATION", data: { jobType: "SEND_EXPIRY_NOTIFICATION" }, opts: baseOpts },
{
name: "SEND_EXPIRY_NOTIFICATION",
data: { jobType: "SEND_EXPIRY_NOTIFICATION" },
opts: baseOpts,
},
);
await queue.upsertJobScheduler(
"scheduler-memory",
@@ -257,6 +279,20 @@ async function registerRepeatableJobs() {
{ pattern: "45 2 * * 0", tz: "Europe/Stockholm" },
{ name: "BUILD_TRAINING_SAMPLE", data: { jobType: "BUILD_TRAINING_SAMPLE" }, opts: baseOpts },
);
await queue.upsertJobScheduler(
"scheduler-safety-canary",
{ every: 60 * 60 * 1000 }, // varje timme
{ name: "RUN_SAFETY_CANARY", data: { jobType: "RUN_SAFETY_CANARY" }, opts: baseOpts },
);
await queue.upsertJobScheduler(
"scheduler-ops-summary",
{ every: 60 * 1000 }, // var 60:e sekund
{
name: "REFRESH_OPS_SUMMARY_CACHE",
data: { jobType: "REFRESH_OPS_SUMMARY_CACHE" },
opts: baseOpts,
},
);
}
// --- Minimal healthcheck-server så att flera instanser kan övervakas ---
+77
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@@ -0,0 +1,77 @@
import { Queue } from "bullmq";
import type { Redis } from "ioredis";
import { computeOpsSummary, type OpsQueueSummary } from "@app/database/ops-summary";
import { JOB_QUEUE_NAME } from "@app/shared-types";
import type { WorkerContext } from "../context.js";
const CACHE_KEY = "ops:summary:cache";
const CACHE_TS_KEY = "ops:summary:computed_at";
const CACHE_TTL_SECONDS = 120;
const BUDGET_KEY_PREFIX = "gemini:daily:budget:";
function budgetKey(): string {
return `${BUDGET_KEY_PREFIX}${new Date().toISOString().slice(0, 10)}`;
}
async function fetchQueueSummary(redis: Redis): Promise<OpsQueueSummary> {
const queue = new Queue(JOB_QUEUE_NAME, { connection: redis });
try {
const [counts, waiting, workers, failed] = await Promise.all([
queue.getJobCounts("wait", "active", "delayed", "completed", "failed"),
queue.getJobs(["wait"], 0, 0, true),
queue.getWorkers(),
queue.getJobs(["failed"], 0, 1000, true),
]);
const oldestWaiting = waiting[0];
const dayAgo = Date.now() - 24 * 60 * 60 * 1000;
const failed24h = failed.filter(
(job) =>
(typeof job.finishedOn === "number" && job.finishedOn >= dayAgo) ||
(typeof job.timestamp === "number" && job.timestamp >= dayAgo),
).length;
return {
vantande: counts.wait ?? 0,
aktiva: counts.active ?? 0,
misslyckade_24h: failed24h,
aldsta_vantande_sek: oldestWaiting
? Math.max(0, Math.floor((Date.now() - oldestWaiting.timestamp) / 1000))
: null,
workers_ok: workers.length > 0,
};
} finally {
await queue.close();
}
}
/**
* Compute the full ops summary and write it to Redis. Called by the
* REFRESH_OPS_SUMMARY_CACHE worker job every 60 s.
*/
export async function refreshOpsSummaryCache(ctx: WorkerContext): Promise<void> {
if (!ctx.redis) {
throw new Error("[refreshOpsSummaryCache] Redis krävs för cache- och kö-aggregering.");
}
const redis = ctx.redis;
const [queueSummary, dailySpendRaw] = await Promise.all([
fetchQueueSummary(redis),
redis.get(budgetKey()),
]);
const dailySpendUsd = dailySpendRaw ? Number(dailySpendRaw) : null;
const budgetUsd = Number(process.env.GEMINI_DAILY_BUDGET_USD ?? 0);
const summary = await computeOpsSummary({
db: ctx.db,
budgetUsd,
dailySpendUsd,
queueSummary,
});
const json = JSON.stringify(summary);
await redis.set(CACHE_KEY, json, "EX", CACHE_TTL_SECONDS);
await redis.set(CACHE_TS_KEY, summary.as_of, "EX", CACHE_TTL_SECONDS);
}
export { CACHE_KEY, CACHE_TS_KEY };
+185
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@@ -0,0 +1,185 @@
import { eq, and, ne, sql, desc } from "drizzle-orm";
import { schema } from "@app/database";
import { deriveRecipeAllergens, type IngredientSafetyInfo } from "@app/recipe-engine";
import type { WorkerContext } from "../context.js";
const RAW_PROTEIN_REQUIRING_SAFE_COOKING = new Set([
"chicken_breast",
"chicken_thigh",
"pork_loin",
"minced_beef",
"minced_mixed",
"meatball_pork_beef",
"falukorv",
"egg",
"cod",
"salmon",
"shrimp",
"anchovy_swedish",
"pickled_herring",
]);
const SAFE_COOKING_KEYWORDS_SV = [
/\bgenomstekt\b/i,
/\bgenomkokt\b/i,
/\bgenomgrillad\b/i,
/\bgenomv\w+\b/i,
/\binte längre rosa\b/i,
/\binte rosa\b/i,
/\bflagnar\b/i,
/\bkärntemperatur\b/i,
/\binnertemperatur\b/i,
/\btemperatur\b/i,
/\b°\s*c\b/i,
/\bgrader\b/i,
/\btill(?:s)? den är klar\b/i,
/\btill(?:s)? köttet släpper vätskan\b/i,
/\b72\s*c?\b/i,
/\b74\s*c?\b/i,
/\b75\s*c?\b/i,
/\b63\s*c?\b/i,
/\b65\s*c?\b/i,
/\b70\s*c?\b/i,
];
const UNSAFE_APPEARANCE_ONLY_SV = [
/\bgyllenbrun\b/i,
/\bgyllene\b/i,
/\bkrispig\b/i,
/\bkrispiga\b/i,
/\bfint färg\b/i,
/\bfint färgade\b/i,
/\bfärgad\b/i,
/\bfräsch\b/i,
/\bfräscha\b/i,
];
function requiresSafeCookingStep(ingredientIds: string[]): boolean {
return ingredientIds.some((id) => RAW_PROTEIN_REQUIRING_SAFE_COOKING.has(id));
}
function hasSafeCookingStep(steps: Array<{ instructionSv: string }>): boolean {
return steps.some((s) => {
const instruction = s.instructionSv;
const hasPositive = SAFE_COOKING_KEYWORDS_SV.some((re) => re.test(instruction));
const onlyAppearance =
UNSAFE_APPEARANCE_ONLY_SV.some((re) => re.test(instruction)) &&
!SAFE_COOKING_KEYWORDS_SV.some((re) => re.test(instruction));
return hasPositive && !onlyAppearance;
});
}
function toSafetyInfo(ing: {
id: string;
allergens: string[];
isVegan: boolean;
isVegetarian: boolean;
containsGluten: boolean;
containsLactose: boolean;
isPork: boolean;
isBeef: boolean;
isAlcohol: boolean;
}): IngredientSafetyInfo {
return {
id: ing.id,
allergens: ing.allergens as IngredientSafetyInfo["allergens"],
isVegan: ing.isVegan,
isVegetarian: ing.isVegetarian,
containsGluten: ing.containsGluten,
containsLactose: ing.containsLactose,
isPork: ing.isPork,
isBeef: ing.isBeef,
isAlcohol: ing.isAlcohol,
dataVerified: true,
};
}
export interface SafetyCanaryResult {
allergenInvariantBrott: number;
overifieradeVisade: number;
foodSafetyLintAvvisade7d: number;
}
/**
* Hourly safety canary: deterministic re-derivation of allergens and a
* food-safety lint sample. Results are persisted in ops_safety_canary;
* /ops/v1/summary only reads the latest row.
*/
export async function processSafetyCanary(ctx: WorkerContext): Promise<SafetyCanaryResult> {
const sevenDaysAgo = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000);
const allIngredients = await ctx.db
.select({
id: schema.canonicalIngredients.id,
allergens: schema.canonicalIngredients.allergens,
isVegan: schema.canonicalIngredients.isVegan,
isVegetarian: schema.canonicalIngredients.isVegetarian,
containsGluten: schema.canonicalIngredients.containsGluten,
containsLactose: schema.canonicalIngredients.containsLactose,
isPork: schema.canonicalIngredients.isPork,
isBeef: schema.canonicalIngredients.isBeef,
isAlcohol: schema.canonicalIngredients.isAlcohol,
})
.from(schema.canonicalIngredients);
const infoMap = new Map<string, IngredientSafetyInfo>();
for (const ing of allIngredients) {
infoMap.set(ing.id, toSafetyInfo(ing));
}
const recipes = await ctx.db
.select({
id: schema.recipes.id,
allergens: schema.recipes.allergens,
status: schema.recipes.status,
verificationStatus: schema.recipes.verificationStatus,
updatedAt: schema.recipes.updatedAt,
})
.from(schema.recipes);
let allergenInvariantBrott = 0;
let foodSafetyLintAvvisade7d = 0;
for (const recipe of recipes) {
const ingredients = await ctx.db
.select({ canonicalIngredientId: schema.recipeIngredients.canonicalIngredientId })
.from(schema.recipeIngredients)
.where(eq(schema.recipeIngredients.recipeId, recipe.id));
const ids = ingredients.map((i) => i.canonicalIngredientId);
const derived = [...deriveRecipeAllergens(ids, infoMap)].sort();
const stored = [...(recipe.allergens ?? [])].sort();
if (JSON.stringify(derived) !== JSON.stringify(stored)) {
allergenInvariantBrott++;
}
if (recipe.updatedAt && new Date(recipe.updatedAt) >= sevenDaysAgo) {
const steps = await ctx.db
.select({ instructionSv: schema.recipeSteps.instructionSv })
.from(schema.recipeSteps)
.where(eq(schema.recipeSteps.recipeId, recipe.id));
if (requiresSafeCookingStep(ids) && !hasSafeCookingStep(steps)) {
foodSafetyLintAvvisade7d++;
}
}
}
const publicUnverified = await ctx.db
.select({ count: sql<number>`count(*)::int` })
.from(schema.recipes)
.where(
and(
eq(schema.recipes.status, "published"),
ne(schema.recipes.verificationStatus, "verified"),
),
);
const overifieradeVisade = publicUnverified[0]?.count ?? 0;
await ctx.db.insert(schema.opsSafetyCanary).values({
allergenInvariantBrott,
overifieradeVisade,
foodSafetyLintAvvisade7d,
});
return { allergenInvariantBrott, overifieradeVisade, foodSafetyLintAvvisade7d };
}
+60 -3
View File
@@ -1,5 +1,6 @@
import { eq, sql } from "drizzle-orm";
import { schema } from "@app/database";
import { schema, trackProductAnalytics } from "@app/database";
import { scanCompleted, scanFailed } from "@app/analytics";
import type { AamosResult, AamosTaskType, DetectedItem } from "@app/ai-contracts";
import type { WorkerContext } from "../context.js";
import { getLocaleContext } from "../locale.js";
@@ -43,15 +44,17 @@ export async function processScanJob(ctx: WorkerContext, scanJobId: string): Pro
);
if (result.status === "failed" || result.output == null) {
const latencyMs = Date.now() - started;
await ctx.db
.update(schema.scanJobs)
.set({
status: "failed",
error: result.error ?? "AI-analysen misslyckades. Försök igen eller registrera manuellt.",
latencyMs: Date.now() - started,
latencyMs,
updatedAt: new Date(),
})
.where(eq(schema.scanJobs.id, scanJobId));
await recordScanFailed(ctx, job, { ...result, latencyMs });
return;
}
@@ -78,6 +81,8 @@ export async function processScanJob(ctx: WorkerContext, scanJobId: string): Pro
})
.where(eq(schema.scanJobs.id, scanJobId));
await recordScanCompleted(ctx, job, result);
// Bokför verklig AI-kostnad/tokens utan PII (spec §45).
await recordAiUsage(ctx, job.userId, result);
@@ -293,7 +298,11 @@ function tokenize(text: string): string[] {
// AI-kostnadsbokföring utan PII.
// ---------------------------------------------------------------------------
async function recordAiUsage(ctx: WorkerContext, userId: string, result: AamosResult<AamosTaskType>): Promise<void> {
async function recordAiUsage(
ctx: WorkerContext,
userId: string,
result: AamosResult<AamosTaskType>,
): Promise<void> {
const costUsd = result.costUsd ?? 0;
const tokensIn = result.inputTokens ?? 0;
const tokensOut = result.outputTokens ?? 0;
@@ -320,3 +329,51 @@ async function recordAiUsage(ctx: WorkerContext, userId: string, result: AamosRe
},
});
}
function classifyScanError(error?: string | null): string {
if (!error) return "unknown";
const lower = error.toLowerCase();
if (lower.includes("budget")) return "budget_exhausted";
if (lower.includes("timeout")) return "timeout";
if (lower.includes("kunde inte hämta bild")) return "image_fetch_failed";
if (lower.includes("matchar inte schema") || lower.includes("inte giltig json"))
return "parse_error";
if (lower.includes("inga items") || lower.includes("no items")) return "no_items_detected";
return "ai_provider_error";
}
async function recordScanCompleted(
ctx: WorkerContext,
job: { userId: string; householdId: string | null; scanType: string; jobType: string },
result: AamosResult<AamosTaskType>,
): Promise<void> {
await trackProductAnalytics(ctx.db, job.userId, {
...scanCompleted(),
householdId: job.householdId ?? undefined,
properties: {
scanType: job.scanType,
jobType: job.jobType,
latencyMs: result.latencyMs ?? null,
costUsd: result.costUsd ?? null,
modelVersion: result.modelVersion ?? null,
promptVersion: result.promptVersion ?? null,
},
});
}
async function recordScanFailed(
ctx: WorkerContext,
job: { userId: string; householdId: string | null; scanType: string; jobType: string },
result: AamosResult<AamosTaskType>,
): Promise<void> {
await trackProductAnalytics(ctx.db, job.userId, {
...scanFailed(),
householdId: job.householdId ?? undefined,
properties: {
scanType: job.scanType,
jobType: job.jobType,
errorCode: classifyScanError(result.error),
latencyMs: result.latencyMs ?? null,
},
});
}
+35
View File
@@ -0,0 +1,35 @@
import "./setup-env.js";
import { describe, it, expect, beforeAll, afterAll } from "vitest";
import { createDatabase, schema } from "@app/database";
import { processSafetyCanary } from "../src/processors/safety-canary.js";
import type { WorkerContext } from "../src/context.js";
const testDb = createDatabase(process.env.TEST_DATABASE_URL!);
const ctx: WorkerContext = { db: testDb.db } as never;
describe("RUN_SAFETY_CANARY", () => {
beforeAll(async () => {
await testDb.db.delete(schema.opsSafetyCanary);
});
afterAll(async () => {
await testDb.db.delete(schema.opsSafetyCanary);
await testDb.pool.end();
});
it("re-härleder allergener och skriver en canary-rad", async () => {
const result = await processSafetyCanary(ctx);
expect(typeof result.allergenInvariantBrott).toBe("number");
expect(typeof result.overifieradeVisade).toBe("number");
expect(result.allergenInvariantBrott).toBeGreaterThanOrEqual(0);
const latest = await testDb.db
.select()
.from(schema.opsSafetyCanary)
.orderBy(schema.opsSafetyCanary.occurredAt)
.limit(1);
expect(latest.length).toBe(1);
expect(latest[0]!.allergenInvariantBrott).toBe(result.allergenInvariantBrott);
});
});
@@ -0,0 +1,12 @@
-- Safety canary table for /ops/v1/summary
CREATE TABLE IF NOT EXISTS ops_safety_canary (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
occurred_at timestamptz NOT NULL DEFAULT now(),
allergen_invariant_brott integer NOT NULL DEFAULT 0,
overifierade_visade integer NOT NULL DEFAULT 0,
food_safety_lint_avvisade_7d integer,
computed_at timestamptz NOT NULL DEFAULT now()
);
CREATE INDEX IF NOT EXISTS ops_safety_canary_occurred_idx
ON ops_safety_canary (occurred_at DESC);
@@ -155,6 +155,13 @@
"when": 1786148500000,
"tag": "0022_proactive_tip_consents",
"breakpoints": true
},
{
"idx": 22,
"version": "7",
"when": 1786267200000,
"tag": "0023_ops_safety_canary",
"breakpoints": true
}
]
}
+1
View File
@@ -37,6 +37,7 @@ export const scanStarted = builder("scan_started");
export const scanUploaded = builder("scan_uploaded");
export const scanProcessingCompleted = builder("scan_processing_completed");
export const scanProcessingFailed = builder("scan_processing_failed");
export const scanFailed = builder("scan_failed");
export const scanReviewOpened = builder("scan_review_opened");
export const scanItemConfirmed = builder("scan_item_confirmed");
export const scanItemCorrected = builder("scan_item_corrected");
+3
View File
@@ -6,7 +6,9 @@
"description": "Drizzle-schema, migrationer, seed och databasklient (separat databas, spec §52)",
"exports": {
".": "./src/index.ts",
"./analytics": "./src/analytics.ts",
"./client": "./src/client.ts",
"./ops-summary": "./src/ops-summary.ts",
"./schema": "./src/schema/index.ts",
"./seed": "./src/seed/index.ts"
},
@@ -21,6 +23,7 @@
"db:test-setup": "tsx src/migrate.ts --test && tsx src/seed/run.ts --test"
},
"dependencies": {
"@app/analytics": "workspace:*",
"@app/nutrition-engine": "workspace:*",
"@app/shared-types": "workspace:*",
"dotenv": "^16.4.0",
+42
View File
@@ -0,0 +1,42 @@
import { and, eq } from "drizzle-orm";
import type { AnalyticsEvent } from "@app/analytics";
import type { Database } from "./client.js";
import { schema } from "./index.js";
/**
* Track a product analytics event server-side if the user has opted in.
* Moved to @app/database so both API routes and workers can write events
* without depending on apps/api internals.
*/
export async function trackProductAnalytics(
db: Database,
userId: string,
event: AnalyticsEvent,
): Promise<void> {
const optedIn = await db
.select({ status: schema.userConsents.status })
.from(schema.userConsents)
.where(
and(
eq(schema.userConsents.userId, userId),
eq(schema.userConsents.kind, "product_analytics"),
),
)
.limit(1);
if (optedIn[0] && optedIn[0].status !== "granted") return;
await db.insert(schema.productAnalyticsEvents).values({
occurredAt: event.occurredAt ? new Date(event.occurredAt) : new Date(),
receivedAt: new Date(),
eventName: event.name,
anonymousId: event.anonymousId ?? null,
sessionId: event.sessionId ?? null,
userId,
householdId: event.householdId ?? null,
appVersion: event.appVersion ?? null,
platform: event.platform ?? null,
locale: event.locale ?? null,
experimentVariant: event.experimentVariant ?? null,
properties: event.properties ?? {},
});
}
+1
View File
@@ -1,6 +1,7 @@
export * from "./client.js";
export * as schema from "./schema/index.js";
export * from "./schema/index.js";
export * from "./analytics.js";
export * from "./analytics-gdpr.js";
export * from "./gdpr-erasure.js";
export * from "./release-gates.js";
+383
View File
@@ -0,0 +1,383 @@
import { sql } from "drizzle-orm";
import type {
OpsActivationBlock,
OpsAiScanBlock,
OpsEngagementBlock,
OpsPaymentBlock,
OpsQueueBlock,
OpsSafetyBlock,
OpsSummary,
} from "@app/shared-types";
import type { Database } from "./client.js";
import { schema } from "./index.js";
export interface OpsQueueSummary {
vantande: number;
aktiva: number;
misslyckade_24h: number;
aldsta_vantande_sek: number | null;
workers_ok: boolean;
}
export interface ComputeOpsSummaryOptions {
db: Database;
/** Gemini daily budget in USD (0 = disabled). */
budgetUsd: number;
/** Current daily spend in USD, from Redis budget store. */
dailySpendUsd?: number | null;
queueSummary?: OpsQueueSummary;
}
const MICROCENTS_PER_USD = 100_000_000;
const ESTIMATED_SCAN_COST_USD = 0.0015;
const ESTIMATED_SCAN_COST_MICROCENTS = Math.round(ESTIMATED_SCAN_COST_USD * MICROCENTS_PER_USD);
function asNumber(value: unknown): number {
return Number(value ?? 0);
}
function safeDiv(numerator: number, denominator: number): number | null {
if (denominator === 0) return null;
return numerator / denominator;
}
function roundRate(value: number | null): number | null {
if (value === null || Number.isNaN(value)) return null;
return Math.round(value * 1_000_000) / 1_000_000;
}
async function countEvents(db: Database, name: string, hours: number): Promise<number> {
const result = await db.execute(sql`
SELECT count(*)::int AS n
FROM product_analytics_events
WHERE event_name = ${name}
AND occurred_at >= now() - make_interval(hours => ${hours})`);
const row = (Array.isArray(result) ? result[0] : result.rows[0]) as { n: number } | undefined;
return asNumber(row?.n);
}
async function aiScanBlock(
db: Database,
budgetUsd: number,
dailySpendUsd: number | null | undefined,
): Promise<OpsAiScanBlock> {
const scans24h = await countEvents(db, "scan_completed", 24);
const scans7d = await countEvents(db, "scan_completed", 24 * 7);
const started24h = await countEvents(db, "scan_started", 24);
const failed24h = await countEvents(db, "scan_failed", 24);
const latency = await db.execute(sql`
SELECT
percentile_cont(0.5) WITHIN GROUP (ORDER BY (properties->>'latencyMs')::int) AS p50,
percentile_cont(0.95) WITHIN GROUP (ORDER BY (properties->>'latencyMs')::int) AS p95
FROM product_analytics_events
WHERE event_name = 'scan_completed'
AND occurred_at >= now() - interval '24 hours'
AND properties->>'latencyMs' IS NOT NULL
`);
const latencyRow = (Array.isArray(latency) ? latency[0] : latency.rows[0]) as
{ p50: string | number | null; p95: string | number | null } | undefined;
const latestErrors = await db.execute(sql`
SELECT properties->>'errorCode' AS code, occurred_at AS tid
FROM product_analytics_events
WHERE event_name = 'scan_failed'
AND occurred_at >= now() - interval '24 hours'
ORDER BY occurred_at DESC
LIMIT 5
`);
const latestErrorsRows = (
Array.isArray(latestErrors) ? latestErrors : latestErrors.rows
) as Array<{
code: string | null;
tid: string | Date;
}>;
const month = await db.execute(sql`
SELECT COALESCE(sum(ai_cost_usd_microcents), 0)::bigint AS total
FROM ai_usage_counters
WHERE month = to_char(now() AT TIME ZONE 'UTC', 'YYYY-MM')
`);
const monthRow = (Array.isArray(month) ? month[0] : month.rows[0]) as
{ total: bigint | number } | undefined;
const monthlyCostMicrocents =
typeof monthRow?.total === "bigint" ? Number(monthRow.total) : asNumber(monthRow?.total);
const exact24h = await db.execute(sql`
SELECT COALESCE(sum(cost_usd), 0)::float AS total
FROM scan_jobs
WHERE cost_usd IS NOT NULL
AND updated_at >= now() - interval '24 hours'
AND status IN ('awaiting_confirmation', 'completed')
`);
const exact24hRow = (Array.isArray(exact24h) ? exact24h[0] : exact24h.rows[0]) as
{ total: number } | undefined;
const exactCostUsd = asNumber(exact24hRow?.total);
let cost24hMicrocents: number | null = null;
let cost24hApprox = false;
if (exactCostUsd > 0) {
cost24hMicrocents = Math.round(exactCostUsd * MICROCENTS_PER_USD);
} else if (scans24h > 0) {
cost24hMicrocents = scans24h * ESTIMATED_SCAN_COST_MICROCENTS;
cost24hApprox = true;
}
let budgetAndel: number | null = null;
if (budgetUsd > 0 && dailySpendUsd != null && !Number.isNaN(dailySpendUsd)) {
budgetAndel = Math.min(1, dailySpendUsd / budgetUsd);
}
return {
scans_24h: scans24h,
scans_7d: scans7d,
lyckandegrad_24h: roundRate(safeDiv(scans24h, started24h)),
latens_p50_ms: latencyRow?.p50 != null ? Math.round(Number(latencyRow.p50)) : null,
latens_p95_ms: latencyRow?.p95 != null ? Math.round(Number(latencyRow.p95)) : null,
felfrekvens_24h: roundRate(safeDiv(failed24h, started24h)),
senaste_fel:
latestErrorsRows.length > 0
? latestErrorsRows.map((r) => ({
kod: r.code,
tid: r.tid instanceof Date ? r.tid.toISOString() : String(r.tid),
}))
: null,
kostnad_usd_mikrocent_manad: monthlyCostMicrocents,
kostnad_usd_mikrocent_24h: cost24hMicrocents,
kostnad_usd_mikrocent_24h_uppskattad: cost24hApprox,
budget_andel: roundRate(budgetAndel),
as_of: new Date().toISOString(),
};
}
async function conversionWithin(
db: Database,
fromEvent: string,
toEvent: string,
cohortDays: number,
withinHours: number,
): Promise<number | null> {
const result = await db.execute(sql`
WITH cohort AS (
SELECT DISTINCT user_id, occurred_at AS created_at
FROM product_analytics_events
WHERE event_name = ${fromEvent}
AND occurred_at >= now() - make_interval(days => ${cohortDays})
AND user_id IS NOT NULL
),
converted AS (
SELECT DISTINCT c.user_id
FROM cohort c
INNER JOIN product_analytics_events e ON e.user_id = c.user_id
WHERE e.event_name = ${toEvent}
AND e.occurred_at >= c.created_at
AND e.occurred_at < c.created_at + make_interval(hours => ${withinHours})
)
SELECT
(SELECT count(*) FROM cohort) AS total,
(SELECT count(*) FROM converted) AS converted
`);
const row = (Array.isArray(result) ? result[0] : result.rows[0]) as
{ total: number; converted: number } | undefined;
if (!row || asNumber(row.total) === 0) return null;
return asNumber(row.converted) / asNumber(row.total);
}
async function householdConversionWithin(
db: Database,
fromEvent: string,
toEvent: string,
cohortDays: number,
): Promise<number | null> {
const result = await db.execute(sql`
WITH cohort AS (
SELECT DISTINCT household_id, occurred_at AS created_at
FROM product_analytics_events
WHERE event_name = ${fromEvent}
AND occurred_at >= now() - make_interval(days => ${cohortDays})
AND household_id IS NOT NULL
),
converted AS (
SELECT DISTINCT c.household_id
FROM cohort c
INNER JOIN product_analytics_events e ON e.household_id = c.household_id
WHERE e.event_name = ${toEvent}
AND e.occurred_at >= c.created_at
AND e.occurred_at < c.created_at + make_interval(days => ${cohortDays})
)
SELECT
(SELECT count(*) FROM cohort) AS total,
(SELECT count(*) FROM converted) AS converted
`);
const row = (Array.isArray(result) ? result[0] : result.rows[0]) as
{ total: number; converted: number } | undefined;
if (!row || asNumber(row.total) === 0) return null;
return asNumber(row.converted) / asNumber(row.total);
}
async function cohortRetention(db: Database, day: number): Promise<number | null> {
const result = await db.execute(sql`
WITH cohort AS (
SELECT DISTINCT user_id,
(occurred_at AT TIME ZONE 'UTC')::date AS cohort_date
FROM product_analytics_events
WHERE event_name = 'account_created'
AND occurred_at >= now() - interval '30 days'
AND user_id IS NOT NULL
),
active AS (
SELECT DISTINCT c.user_id
FROM cohort c
INNER JOIN product_analytics_events e ON e.user_id = c.user_id
WHERE (e.occurred_at AT TIME ZONE 'UTC')::date = c.cohort_date + ${day}::int
)
SELECT
(SELECT count(DISTINCT user_id) FROM cohort) AS total,
(SELECT count(*) FROM active) AS active
`);
const row = (Array.isArray(result) ? result[0] : result.rows[0]) as
{ total: number; active: number } | undefined;
if (!row || asNumber(row.total) === 0) return null;
return asNumber(row.active) / asNumber(row.total);
}
async function activationBlock(db: Database): Promise<OpsActivationBlock> {
const [scan24h, cook7d, householdSecond, d1, d7, d30] = await Promise.all([
conversionWithin(db, "account_created", "scan_completed", 7, 24),
conversionWithin(db, "account_created", "cooking_session_completed", 30, 24 * 7),
householdConversionWithin(db, "household_created", "second_member_first_action", 30),
cohortRetention(db, 1),
cohortRetention(db, 7),
cohortRetention(db, 30),
]);
return {
scan_inom_24h_andel: roundRate(scan24h),
lagad_maltid_inom_7d_andel: roundRate(cook7d),
hushall_andra_medlem_aktiv_andel: roundRate(householdSecond),
retention_d1: roundRate(d1),
retention_d7: roundRate(d7),
retention_d30: roundRate(d30),
};
}
async function engagementBlock(db: Database): Promise<OpsEngagementBlock> {
const result = await db.execute(sql`
SELECT
count(*) FILTER (WHERE event_name = 'cooking_session_completed' AND occurred_at >= now() - interval '24 hours')::int AS c24,
count(*) FILTER (WHERE event_name = 'cooking_session_completed' AND occurred_at >= now() - interval '7 days')::int AS c7,
count(*) FILTER (WHERE event_name = 'recommendation_opened' AND occurred_at >= now() - interval '7 days')::int AS opened,
count(*) FILTER (WHERE event_name = 'recommendations_viewed' AND occurred_at >= now() - interval '7 days')::int AS viewed
FROM product_analytics_events
`);
const row = (Array.isArray(result) ? result[0] : result.rows[0]) as
{ c24: number; c7: number; opened: number; viewed: number } | undefined;
const tips = await db.execute(sql`
SELECT count(*)::int AS n
FROM notifications
WHERE type = 'proactive_tip'
AND created_at >= now() - interval '24 hours'
`);
const tipsRow = (Array.isArray(tips) ? tips[0] : tips.rows[0]) as { n: number } | undefined;
return {
lagade_maltider_24h: asNumber(row?.c24),
lagade_maltider_7d: asNumber(row?.c7),
rek_ctr_7d: roundRate(safeDiv(asNumber(row?.opened), asNumber(row?.viewed))),
puffar_skickade_24h: asNumber(tipsRow?.n),
puffar_atgardsgrad_7d: null,
};
}
async function paymentBlock(db: Database): Promise<OpsPaymentBlock> {
const result = await db.execute(sql`
SELECT
count(*) FILTER (WHERE status = 'expired' OR (status != 'active' AND grace_period_expires_at < now()))::int AS failed,
count(*) FILTER (WHERE status = 'in_grace' OR (grace_period_expires_at IS NOT NULL AND grace_period_expires_at >= now() AND status != 'active'))::int AS grace
FROM subscriptions
`);
const row = (Array.isArray(result) ? result[0] : result.rows[0]) as
{ failed: number; grace: number } | undefined;
const trials = await db.execute(sql`
SELECT count(*)::int AS n
FROM trials
WHERE ends_at >= now()
AND ends_at <= now() + interval '48 hours'
`);
const trialsRow = (Array.isArray(trials) ? trials[0] : trials.rows[0]) as
{ n: number } | undefined;
const store = await db.execute(sql`
SELECT
count(*) FILTER (WHERE lower(notification_type) LIKE '%refund%')::int AS refunds,
count(*) FILTER (WHERE lower(notification_type) LIKE '%chargeback%' OR lower(notification_type) LIKE '%revoke%')::int AS chargebacks
FROM store_notifications
WHERE created_at >= now() - interval '7 days'
`);
const storeRow = (Array.isArray(store) ? store[0] : store.rows[0]) as
{ refunds: number; chargebacks: number } | undefined;
return {
failed_nu: asNumber(row?.failed),
grace_period_nu: asNumber(row?.grace),
trials_utgar_48h: asNumber(trialsRow?.n),
aterbetalningar_7d: storeRow ? asNumber(storeRow.refunds) : null,
chargebacks_7d: storeRow ? asNumber(storeRow.chargebacks) : null,
};
}
function defaultQueueBlock(): OpsQueueBlock {
return {
vantande: 0,
aktiva: 0,
misslyckade_24h: 0,
aldsta_vantande_sek: null,
workers_ok: false,
};
}
async function safetyBlock(db: Database): Promise<OpsSafetyBlock> {
const result = await db
.select()
.from(schema.opsSafetyCanary)
.orderBy(sql`${schema.opsSafetyCanary.occurredAt} DESC`)
.limit(1);
const row = result[0];
if (!row) {
return {
allergen_invariant_brott: 0,
overifierade_visade: 0,
food_safety_lint_avvisade_7d: null,
senaste_kontroll: null,
};
}
return {
allergen_invariant_brott: row.allergenInvariantBrott,
overifierade_visade: row.overifieradeVisade,
food_safety_lint_avvisade_7d: row.foodSafetyLintAvvisade7d,
senaste_kontroll: row.computedAt.toISOString(),
};
}
export async function computeOpsSummary(options: ComputeOpsSummaryOptions): Promise<OpsSummary> {
const { db, budgetUsd, dailySpendUsd, queueSummary } = options;
const [ai, activation, engagement, payment, safety] = await Promise.all([
aiScanBlock(db, budgetUsd, dailySpendUsd),
activationBlock(db),
engagementBlock(db),
paymentBlock(db),
safetyBlock(db),
]);
return {
ai_scan: ai,
aktivering: activation,
engagemang: engagement,
betalning: payment,
jobb: queueSummary ?? defaultQueueBlock(),
sakerhet: safety,
as_of: new Date().toISOString(),
};
}
+1
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@@ -18,5 +18,6 @@ export * from "./memory.js";
export * from "./seasons.js";
export * from "./subscriptions.js";
export * from "./analytics.js";
export * from "./ops.js";
export * from "./platform.js";
export * from "./releaseGates.js";
+17
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@@ -0,0 +1,17 @@
import { integer, pgTable, timestamp, uuid } from "drizzle-orm/pg-core";
/**
* Safety canary: hourly deterministic checks written by a worker job and
* read by the ops endpoint. The endpoint never runs heavy computations.
*/
export const opsSafetyCanary = pgTable("ops_safety_canary", {
id: uuid("id").primaryKey().defaultRandom(),
occurredAt: timestamp("occurred_at", { withTimezone: true }).notNull().defaultNow(),
/** Recipes where stored allergens differ from freshly derived allergens. */
allergenInvariantBrott: integer("allergen_invariant_brott").notNull().default(0),
/** Publicly visible recipes that are not verificationStatus=verified. */
overifieradeVisade: integer("overifierade_visade").notNull().default(0),
/** Recipes rejected by the food-safety lint in the last 7 days. */
foodSafetyLintAvvisade7d: integer("food_safety_lint_avvisade_7d"),
computedAt: timestamp("computed_at", { withTimezone: true }).notNull().defaultNow(),
});
+6 -1
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@@ -29,6 +29,7 @@ export const ANALYTICS_INVENTORY_EVENT_NAMES = [
"scan_uploaded",
"scan_processing_completed",
"scan_processing_failed",
"scan_failed",
"scan_review_opened",
"scan_item_confirmed",
"scan_item_corrected",
@@ -129,7 +130,11 @@ export const FUNNELS = {
cooking_to_updated_inventory: ["cooking_session_started", "cooking_session_completed"],
activated_to_trial: ["cooking_session_completed", "trial_started"],
trial_to_paid: ["trial_started", "subscription_started"],
single_to_two_members: ["household_invite_sent", "household_invite_accepted", "second_member_first_action"],
single_to_two_members: [
"household_invite_sent",
"household_invite_accepted",
"second_member_first_action",
],
} as const;
export type FunnelName = keyof typeof FUNNELS;
+1
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@@ -7,4 +7,5 @@ export * from "./locale.js";
export * from "./money.js";
export * from "./measurement.js";
export * from "./analytics.js";
export * from "./ops.js";
export * from "./release-gates.js";
+64
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@@ -0,0 +1,64 @@
export interface OpsAiScanBlock {
scans_24h: number;
scans_7d: number;
lyckandegrad_24h: number | null;
latens_p50_ms: number | null;
latens_p95_ms: number | null;
felfrekvens_24h: number | null;
senaste_fel: Array<{ kod: string | null; tid: string }> | null;
kostnad_usd_mikrocent_manad: number;
kostnad_usd_mikrocent_24h: number | null;
kostnad_usd_mikrocent_24h_uppskattad: boolean;
budget_andel: number | null;
as_of: string;
}
export interface OpsActivationBlock {
scan_inom_24h_andel: number | null;
lagad_maltid_inom_7d_andel: number | null;
hushall_andra_medlem_aktiv_andel: number | null;
retention_d1: number | null;
retention_d7: number | null;
retention_d30: number | null;
}
export interface OpsEngagementBlock {
lagade_maltider_24h: number;
lagade_maltider_7d: number;
rek_ctr_7d: number | null;
puffar_skickade_24h: number;
puffar_atgardsgrad_7d: number | null;
}
export interface OpsPaymentBlock {
failed_nu: number;
grace_period_nu: number;
trials_utgar_48h: number;
aterbetalningar_7d: number | null;
chargebacks_7d: number | null;
}
export interface OpsQueueBlock {
vantande: number;
aktiva: number;
misslyckade_24h: number;
aldsta_vantande_sek: number | null;
workers_ok: boolean;
}
export interface OpsSafetyBlock {
allergen_invariant_brott: number;
overifierade_visade: number;
food_safety_lint_avvisade_7d: number | null;
senaste_kontroll: string | null;
}
export interface OpsSummary {
ai_scan: OpsAiScanBlock;
aktivering: OpsActivationBlock;
engagemang: OpsEngagementBlock;
betalning: OpsPaymentBlock;
jobb: OpsQueueBlock;
sakerhet: OpsSafetyBlock;
as_of: string;
}
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@@ -266,6 +266,9 @@ importers:
'@app/ai-contracts':
specifier: workspace:*
version: link:../../packages/ai-contracts
'@app/analytics':
specifier: workspace:*
version: link:../../packages/analytics
'@app/database':
specifier: workspace:*
version: link:../../packages/database
@@ -342,6 +345,9 @@ importers:
packages/database:
dependencies:
'@app/analytics':
specifier: workspace:*
version: link:../analytics
'@app/nutrition-engine':
specifier: workspace:*
version: link:../nutrition-engine