feat(014-full-observability): remaining business metrics (first response, resolution, SLA, errors, tools)
Completes User Story 4's eleven named metrics: first-response-time (messages.service.ts's post(), guarded against double-counting a ticket's second agent message), SLA compliance (sla.service.ts's complete()/runBreachDetectionSweep(), with a guard so a run already breached by the sweep is never also counted "met" when it later resolves), most-common-errors (error-codes.service.ts, counted only once a code is confirmed real), and tool-failure-rate/knowledge- effectiveness (tools.service.ts's single executeTool call site). Verified end-to-end against real Postgres/Redis by scraping the real /metrics endpoint before and after driving each metric's actual underlying event through the real service layer — including a genuine tool-execution failure (a nonexistent ticket ID) rather than a simulated one. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Sonnet 5
parent
f75589d9ce
commit
de5915a8c1
@@ -1,5 +1,6 @@
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import { ErrorCode, KnownIssue } from '@prisma/client';
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import { NotFoundError } from '@/common/errors';
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import { knownErrorLookupsCounter } from '@/infrastructure/observability';
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import {
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errorCodesRepository,
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ErrorCodesRepository,
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@@ -26,6 +27,11 @@ export class ErrorCodesService {
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async findKnownIssuesByErrorCode(productId: string, code: string): Promise<KnownIssue[]> {
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const errorCode = await this.errorCodesRepo.findByCode(productId, code);
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if (!errorCode) throw new NotFoundError('Error code not found.');
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// 014-full-observability data-model.md #9: "most common errors" — a raw counter, ranked by
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// an external monitoring stack (FR-009), counted only once the code is confirmed real.
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knownErrorLookupsCounter.inc({ code });
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return this.knownIssuesRepo.findByErrorCodeId(errorCode.id);
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}
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}
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@@ -1,4 +1,8 @@
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import Anthropic from '@anthropic-ai/sdk';
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import {
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toolInvocationsCounter,
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knowledgeRetrievalOutcomesCounter,
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} from '@/infrastructure/observability';
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import { actionRepository, ActionRepository } from '../repository';
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import { evaluateToolProposal } from './policy-gate';
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import { executeTool, ToolExecutionContext } from './tool-executor';
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@@ -58,6 +62,15 @@ export class ToolsService {
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const result = await executeTool(block.name, block.input, context);
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await this.actions.createResult(action.id, result.output, result.status);
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// 014-full-observability data-model.md #10/#11: the single choke point every tool
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// invocation passes through — labeled by outcome, and (for the knowledge-search tool
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// specifically) by whether it found anything.
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toolInvocationsCounter.inc({ tool: block.name, outcome: result.status });
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if (block.name === 'searchProductKnowledge') {
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const matched = Array.isArray(result.output) && result.output.length > 0;
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knowledgeRetrievalOutcomesCounter.inc({ matched: String(matched) });
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}
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if (result.status === 'failed') anyFailed = true;
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if (block.name === 'escalateToHuman' && result.status === 'success') {
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const output = result.output as { reason?: string };
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@@ -3,6 +3,7 @@ import { NotFoundError, ValidationError } from '@/common/errors';
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import { ticketsService } from '@/modules/ticketing/tickets';
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import { messagesService } from '@/modules/ticketing/messages';
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import { escalationService, EscalationService } from '@/modules/orchestration/escalation';
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import { slaRunOutcomesCounter } from '@/infrastructure/observability';
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import {
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slaPolicyRepository,
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SlaPolicyRepository,
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@@ -135,6 +136,14 @@ export class SlaService {
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const run = await this.runs.findByTicketId(ticketId);
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if (!run || run.status === 'completed') return;
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// 014-full-observability data-model.md #6: read BEFORE the update below — a run already
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// 'breached' by the time it resolves was already counted breached by the sweep and must
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// never also be counted 'met' here, even though this update still (pre-existing behavior,
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// unrelated to this feature — see research.md §5) overwrites its status to 'completed'.
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if (run.status !== 'breached') {
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slaRunOutcomesCounter.inc({ outcome: 'met' });
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}
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await this.runs.update(run.id, { status: 'completed', completedAt: new Date() });
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}
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@@ -151,6 +160,7 @@ export class SlaService {
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const resolutionBreaches = await this.runs.findRunningPastResolutionDueAt(now);
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for (const run of resolutionBreaches) {
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await this.runs.update(run.id, { status: 'breached', breachedAt: now });
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slaRunOutcomesCounter.inc({ outcome: 'breached' });
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await this.escalation.handleBreach(run.ticketId, 'resolution_breach');
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}
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@@ -1,4 +1,6 @@
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import { TicketMessage } from '@prisma/client';
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import { ticketsRepository } from '@/modules/ticketing/tickets';
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import { ticketFirstResponseDurationHistogram } from '@/infrastructure/observability';
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import { messagesRepository, MessagesRepository } from '../repository';
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import { MessageType, isVisibleToCustomer } from '../mapper';
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@@ -13,13 +15,32 @@ export class MessagesService {
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type: MessageType,
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body: string,
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): Promise<TicketMessage> {
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return this.repo.create({
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// 014-full-observability data-model.md #5: checked BEFORE creating the new message, so it
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// reflects "is there already an agent response" at the moment this one is being posted.
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// Benign race (research.md §5/plan.md Constraint) — two concurrent first responses could
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// both observe once — acceptable for a best-effort metric, not a business-correctness path.
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const isFirstAgentMessage =
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type === 'AGENT_MESSAGE' &&
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!(await this.repo.findAll(ticketId)).some((m) => m.type === 'AGENT_MESSAGE');
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const message = await this.repo.create({
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ticketId,
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authorRef,
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type,
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body,
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visibleToCustomer: isVisibleToCustomer(type),
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});
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if (isFirstAgentMessage) {
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const ticket = await ticketsRepository.findById(ticketId);
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if (ticket) {
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ticketFirstResponseDurationHistogram.observe(
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(message.createdAt.getTime() - ticket.createdAt.getTime()) / 1000,
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);
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}
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}
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return message;
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}
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async listForCustomer(ticketId: string): Promise<TicketMessage[]> {
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@@ -0,0 +1,359 @@
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import { describe, it, expect, beforeAll, afterAll } from 'vitest';
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import { buildApp } from '@/app';
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import { prismaClient } from '@/infrastructure/database';
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import { FastifyInstance } from 'fastify';
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import { loginAs, authHeader } from '../../helpers/auth';
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import {
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encryptCredential,
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generateCredentialSecret,
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issueIntegrationToken,
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} from '@/modules/catalog/products';
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import { sessionsService, sessionRepository } from '@/modules/ai-support/sessions';
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import { ticketsService } from '@/modules/ticketing/tickets';
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import { messagesService } from '@/modules/ticketing/messages';
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import { resolutionRepository } from '@/modules/problem-management/resolutions';
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import { slaService, slaRunRepository } from '@/modules/orchestration/sla';
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import { escalationService } from '@/modules/orchestration/escalation';
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import { errorCodesService } from '@/modules/ai-support/knowledge';
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import { toolsService } from '@/modules/ai-support/tools';
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/**
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* Covers specs/014-full-observability/quickstart.md Scenario 4 against a real Postgres/Redis —
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* every named business-health metric, scraped from the real /metrics endpoint before and after
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* driving its real underlying event through the real service layer (not mocked). Several flows
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* (human resolution, SLA runs) create rows directly against the repositories that already own
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* the relevant validation elsewhere in this codebase's own test suite — this file's job is only
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* to prove the metric increments at the correct point, not to re-verify those modules' own
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* business rules (already covered by problem-resolution-flow.test.ts / sla-escalation-flow.test.ts).
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*/
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describe('Business-health metrics (User Story 4)', () => {
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let app: FastifyInstance;
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let authToken: string;
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const externalProductId = `TEST_BIZ_METRICS_PROD_${Date.now()}`;
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let productId: string;
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let secret: string;
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beforeAll(async () => {
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app = await buildApp();
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authToken = await loginAs(app, 'ADMIN');
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const product = await prismaClient.product.create({
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data: { externalProductId, name: 'Business Metrics Test Product', status: 'active' },
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});
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productId = product.id;
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secret = generateCredentialSecret();
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await prismaClient.productIntegration.create({
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data: {
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productId,
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credentialRef: encryptCredential(secret),
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authMechanism: 'signed_token',
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allowedScope: { tenantIds: ['tenant-1'] },
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status: 'active',
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rateLimitPerMinute: 1000,
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rateLimitPerUserPerMinute: 1000,
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},
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});
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});
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afterAll(async () => {
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await app.close();
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});
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async function createTicket(): Promise<string> {
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const token = issueIntegrationToken(secret, {
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externalProductId,
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tenantId: 'tenant-1',
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userId: 'user-1',
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});
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const created = await app.inject({
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method: 'POST',
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url: '/v1/support/requests',
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headers: { authorization: `Bearer ${token}` },
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payload: {
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productId: externalProductId,
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tenantId: 'tenant-1',
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userId: 'user-1',
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source: 'test',
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problem: `Business metrics test ${Date.now()}-${Math.random()}`,
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},
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});
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expect(created.statusCode).toBe(202);
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return created.json().data.ticketId as string;
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}
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async function scrape(): Promise<string> {
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const res = await app.inject({ method: 'GET', url: '/metrics' });
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expect(res.statusCode).toBe(200);
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return res.body;
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}
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function metricValue(body: string, name: string, labels?: Record<string, string>): number {
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const labelPart = labels
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? `\\{${Object.entries(labels)
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.map(([k, v]) => `${k}="${v}"`)
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.join(',')}\\}`
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: '(?:\\{\\})?';
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const match = body.match(new RegExp(`${name}${labelPart}\\s+([0-9.]+)`));
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return match?.[1] ? parseFloat(match[1]) : 0;
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}
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it('counts an AI session resolving without escalating', async () => {
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const ticketId = await createTicket();
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const session = await sessionRepository.create(ticketId);
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const before = metricValue(await scrape(), 'supporthub_ai_session_outcomes_total', {
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outcome: 'resolved',
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});
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await sessionRepository.updateStatus(session.id, 'resolved');
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const after = metricValue(await scrape(), 'supporthub_ai_session_outcomes_total', {
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outcome: 'resolved',
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});
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expect(after).toBe(before + 1);
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});
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it('counts an AI session escalating, and nothing for resolved', async () => {
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const ticketId = await createTicket();
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const session = await sessionRepository.create(ticketId);
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const before = metricValue(await scrape(), 'supporthub_ai_session_outcomes_total', {
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outcome: 'escalated',
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});
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await sessionsService.escalate(session, ticketId, 'Escalating for metrics test.');
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const after = metricValue(await scrape(), 'supporthub_ai_session_outcomes_total', {
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outcome: 'escalated',
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});
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expect(after).toBe(before + 1);
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});
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it('counts the first agent message on a ticket, observing first-response duration', async () => {
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const ticketId = await createTicket();
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const bodyBefore = await scrape();
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const before = metricValue(
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bodyBefore,
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'supporthub_ticket_first_response_duration_seconds_count',
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);
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await messagesService.post(ticketId, 'agent-1', 'AGENT_MESSAGE', 'Hi, looking into this.');
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// A second agent message must NOT observe again.
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await messagesService.post(ticketId, 'agent-1', 'AGENT_MESSAGE', 'Following up.');
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const after = metricValue(
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await scrape(),
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'supporthub_ticket_first_response_duration_seconds_count',
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);
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expect(after).toBe(before + 1);
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});
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it('counts a human resolution and observes resolution duration when a ticket reaches RESOLVED', async () => {
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const ticketId = await createTicket();
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// Drive the state machine directly (NEW -> HUMAN_ESCALATION -> [maybe already
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// auto-assigned to IN_PROGRESS by orchestration] -> RESOLUTION_PENDING_CUSTOMER ->
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// RESOLVED) — the metric subscriber only cares about the final RESOLVED transition and the
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// Resolution row's own resolvedBy, not how the ticket got to RESOLUTION_PENDING_CUSTOMER.
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let ticket = await prismaClient.ticket.findUniqueOrThrow({ where: { id: ticketId } });
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ticket = await ticketsService.updateStatus(
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ticketId,
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'HUMAN_ESCALATION',
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ticket.version,
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'agent-1',
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);
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ticket = await prismaClient.ticket.findUniqueOrThrow({ where: { id: ticketId } });
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if (ticket.status !== 'IN_PROGRESS') {
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ticket = await ticketsService.updateStatus(
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ticketId,
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'IN_PROGRESS',
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ticket.version,
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'agent-1',
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);
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}
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ticket = await ticketsService.updateStatus(
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ticketId,
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'RESOLUTION_PENDING_CUSTOMER',
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ticket.version,
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'agent-1',
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);
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await resolutionRepository.create({ ticketId, outcome: 'fixed', resolvedBy: 'agent-1' });
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const bodyBefore = await scrape();
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const resolvedBefore = metricValue(bodyBefore, 'supporthub_ticket_resolutions_total', {
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resolved_by: 'human',
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});
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const durationBefore = metricValue(
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bodyBefore,
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'supporthub_ticket_resolution_duration_seconds_count',
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);
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await ticketsService.updateStatus(ticketId, 'RESOLVED', ticket.version, 'agent-1');
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const bodyAfter = await scrape();
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expect(
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metricValue(bodyAfter, 'supporthub_ticket_resolutions_total', { resolved_by: 'human' }),
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).toBe(resolvedBefore + 1);
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expect(metricValue(bodyAfter, 'supporthub_ticket_resolution_duration_seconds_count')).toBe(
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durationBefore + 1,
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);
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});
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it('counts an SLA run completing on time as met', async () => {
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const policy = await prismaClient.sLAPolicy.create({
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data: {
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name: `Metrics Policy ${Date.now()}`,
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productId,
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firstResponseMinutes: 30,
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resolutionMinutes: 240,
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},
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});
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const ticketId = await createTicket();
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await slaRunRepository.create({
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ticketId,
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policyId: policy.id,
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firstResponseDueAt: new Date(Date.now() + 30 * 60_000),
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resolutionDueAt: new Date(Date.now() + 240 * 60_000),
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});
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const before = metricValue(await scrape(), 'supporthub_sla_run_outcomes_total', {
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outcome: 'met',
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});
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await slaService.complete(ticketId);
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const after = metricValue(await scrape(), 'supporthub_sla_run_outcomes_total', {
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outcome: 'met',
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});
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expect(after).toBe(before + 1);
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});
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it('counts an overdue SLA run as breached via the sweep (at least once — a shared sweep may also catch unrelated overdue runs)', async () => {
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const policy = await prismaClient.sLAPolicy.create({
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data: {
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name: `Metrics Breach Policy ${Date.now()}`,
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productId,
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firstResponseMinutes: 30,
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resolutionMinutes: 1,
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},
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});
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const ticketId = await createTicket();
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await slaRunRepository.create({
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ticketId,
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policyId: policy.id,
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firstResponseDueAt: new Date(Date.now() + 30 * 60_000),
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resolutionDueAt: new Date(Date.now() - 60_000),
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});
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const before = metricValue(await scrape(), 'supporthub_sla_run_outcomes_total', {
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outcome: 'breached',
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});
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await slaService.runBreachDetectionSweep();
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const after = metricValue(await scrape(), 'supporthub_sla_run_outcomes_total', {
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outcome: 'breached',
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});
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expect(after).toBeGreaterThanOrEqual(before + 1);
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});
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it('counts a manual escalation event by reason', async () => {
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const node = await app.inject({
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method: 'POST',
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url: '/admin/hierarchy-nodes',
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headers: authHeader(authToken),
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payload: {
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name: `Metrics Node ${Date.now()}`,
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order: 0,
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productScope: [externalProductId],
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skills: [],
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assignmentStrategy: 'ROUND_ROBIN',
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},
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});
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const nodeId = node.json().data.id as string;
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const ticketId = await createTicket();
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const reason = `metrics-test-reason-${Date.now()}`;
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const before = metricValue(await scrape(), 'supporthub_escalations_total', { reason });
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await escalationService.escalateManually(ticketId, nodeId, 'admin-test', reason);
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const after = metricValue(await scrape(), 'supporthub_escalations_total', { reason });
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expect(after).toBe(before + 1);
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});
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it('counts a problem created, labeled by category (uncategorized here)', async () => {
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const before = metricValue(await scrape(), 'supporthub_problems_created_total', {
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category_id: 'uncategorized',
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});
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await createTicket();
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const after = metricValue(await scrape(), 'supporthub_problems_created_total', {
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category_id: 'uncategorized',
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});
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expect(after).toBe(before + 1);
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});
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it('counts a knowledge-search tool call that finds nothing as unmatched', async () => {
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const ticketId = await createTicket();
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const session = await sessionRepository.create(ticketId);
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const before = metricValue(await scrape(), 'supporthub_knowledge_retrieval_outcomes_total', {
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matched: 'false',
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});
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await toolsService.proposeAndEvaluate(
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session.id,
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[
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{
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type: 'tool_use',
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caller: { type: 'direct' },
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id: `toolu_${Date.now()}`,
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name: 'searchProductKnowledge',
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input: { feature: `nonexistent-feature-${Date.now()}` },
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||||
},
|
||||
],
|
||||
{ ticketId, productId },
|
||||
);
|
||||
const after = metricValue(await scrape(), 'supporthub_knowledge_retrieval_outcomes_total', {
|
||||
matched: 'false',
|
||||
});
|
||||
|
||||
expect(after).toBe(before + 1);
|
||||
});
|
||||
|
||||
it('counts a tool invocation that fails at execution time', async () => {
|
||||
const ticketId = await createTicket();
|
||||
const session = await sessionRepository.create(ticketId);
|
||||
|
||||
const before = metricValue(await scrape(), 'supporthub_tool_invocations_total', {
|
||||
tool: 'getTicketSnapshot',
|
||||
outcome: 'failed',
|
||||
});
|
||||
await toolsService.proposeAndEvaluate(
|
||||
session.id,
|
||||
[
|
||||
{
|
||||
type: 'tool_use',
|
||||
caller: { type: 'direct' },
|
||||
id: `toolu_${Date.now()}`,
|
||||
name: 'getTicketSnapshot',
|
||||
input: {},
|
||||
},
|
||||
],
|
||||
{ ticketId: 'nonexistent-ticket-id', productId },
|
||||
);
|
||||
const after = metricValue(await scrape(), 'supporthub_tool_invocations_total', {
|
||||
tool: 'getTicketSnapshot',
|
||||
outcome: 'failed',
|
||||
});
|
||||
|
||||
expect(after).toBe(before + 1);
|
||||
});
|
||||
|
||||
it('counts a valid known-error-code lookup', async () => {
|
||||
const code = `METRICS-ERR-${Date.now()}`;
|
||||
await errorCodesService.createErrorCode(productId, code, 'A test error for metrics.');
|
||||
|
||||
const before = metricValue(await scrape(), 'supporthub_known_error_lookups_total', { code });
|
||||
await errorCodesService.findKnownIssuesByErrorCode(productId, code);
|
||||
const after = metricValue(await scrape(), 'supporthub_known_error_lookups_total', { code });
|
||||
|
||||
expect(after).toBe(before + 1);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,58 @@
|
||||
import { describe, it, expect, vi, beforeEach } from 'vitest';
|
||||
import { SlaService } from '@/modules/orchestration/sla/service/sla.service';
|
||||
import * as observability from '@/infrastructure/observability';
|
||||
|
||||
function fakeRun(overrides: Partial<Record<string, unknown>> = {}) {
|
||||
return {
|
||||
id: 'run-1',
|
||||
ticketId: 'ticket-1',
|
||||
status: 'running',
|
||||
...overrides,
|
||||
};
|
||||
}
|
||||
|
||||
describe('SLA compliance metric (014-full-observability data-model.md #6)', () => {
|
||||
beforeEach(() => {
|
||||
vi.restoreAllMocks();
|
||||
});
|
||||
|
||||
it('counts a run that completes while still running as met', async () => {
|
||||
const incSpy = vi.spyOn(observability.slaRunOutcomesCounter, 'inc');
|
||||
const runs = {
|
||||
findByTicketId: vi.fn().mockResolvedValue(fakeRun({ status: 'running' })),
|
||||
update: vi.fn().mockResolvedValue(undefined),
|
||||
} as never;
|
||||
const service = new SlaService(undefined, runs);
|
||||
|
||||
await service.complete('ticket-1');
|
||||
|
||||
expect(incSpy).toHaveBeenCalledWith({ outcome: 'met' });
|
||||
});
|
||||
|
||||
it('does not double-count a run that was already breached before it resolved', async () => {
|
||||
const incSpy = vi.spyOn(observability.slaRunOutcomesCounter, 'inc');
|
||||
const runs = {
|
||||
findByTicketId: vi.fn().mockResolvedValue(fakeRun({ status: 'breached' })),
|
||||
update: vi.fn().mockResolvedValue(undefined),
|
||||
} as never;
|
||||
const service = new SlaService(undefined, runs);
|
||||
|
||||
await service.complete('ticket-1');
|
||||
|
||||
expect(incSpy).not.toHaveBeenCalledWith({ outcome: 'met' });
|
||||
});
|
||||
|
||||
it('does not count anything for a run already completed', async () => {
|
||||
const incSpy = vi.spyOn(observability.slaRunOutcomesCounter, 'inc');
|
||||
const runs = {
|
||||
findByTicketId: vi.fn().mockResolvedValue(fakeRun({ status: 'completed' })),
|
||||
update: vi.fn().mockResolvedValue(undefined),
|
||||
} as never;
|
||||
const service = new SlaService(undefined, runs);
|
||||
|
||||
await service.complete('ticket-1');
|
||||
|
||||
expect(incSpy).not.toHaveBeenCalled();
|
||||
expect((runs as unknown as { update: ReturnType<typeof vi.fn> }).update).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user