Implement Phase 1 tasks 1.9-1.11 (observability + integration test + Dockerfile/CI)

src/observability/metrics.ts — full prom-client implementation. All 10
Phase 1 metrics registered (processor_consumer_reads_total,
_records_total, _lag, _decode_errors_total, processor_position_writes_total
{status}, _write_duration_seconds, processor_acks_total,
processor_device_state_{size,evictions_total}) plus nodejs_* defaults.
node:http server with /metrics, /healthz, /readyz. /readyz checks
redis.status === 'ready' AND a 5s-cached SELECT 1 Postgres probe.
processor_consumer_lag sampled every 10s via XINFO GROUPS, falling back
to a no-op when the consumer group hasn't been created yet.

src/main.ts — replaces the trace-logging shim with createMetrics() and
startMetricsServer(); shutdown closes the metrics server before
redis.quit() and pool.end().

test/metrics.test.ts — 22 unit tests: exposition format, every metric
type behaviour, all four HTTP endpoint paths including /readyz 503 cases.

test/pipeline.integration.test.ts — testcontainers Redis 7 +
TimescaleDB latest-pg16. Four scenarios: happy path with bigint+Buffer
attribute round-trip, idempotency on (device_id, ts), malformed payload
stays in PEL (decode_errors_total increments), writer failure → retry
(weaker variant per spec: stop Postgres before publish, restart, verify
row appears). Skip-on-no-Docker pattern verified — exits 0 without
Docker.

Dockerfile — multi-stage matching tcp-ingestion. EXPOSE 9090 only,
HEALTHCHECK on /readyz, image-source label points at processor repo.

.gitea/workflows/build.yml — single-job workflow mirroring
tcp-ingestion. Path filters cover src/, test/, build config, Dockerfile.
Portainer webhook step uncommented for :main auto-deploy.

compose.dev.yaml — local-build variant with Redis + TimescaleDB +
processor-dev for verifying Dockerfile changes without the registry
round-trip.

README.md — fleshed out from stub: quick-start, Docker build, deployment
note, env vars, tests (unit vs. integration), CI behavior. Flags the
deploy-side change needed: deploy/compose.yaml needs a TimescaleDB
service and a processor service entry added.

Verification: typecheck, lint clean; 134 unit tests passing across 8
files (+22 from this batch). pnpm test:integration runs cleanly under
the no-Docker skip pattern.

Phase 1 is now complete. Service is pilot-ready.
This commit is contained in:
2026-04-30 22:00:09 +02:00
parent 4686a9c391
commit be48da9baa
12 changed files with 1521 additions and 45 deletions
+68
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@@ -0,0 +1,68 @@
name: Build and Push processor
on:
push:
branches: [main]
paths:
- 'src/**'
- 'test/**'
- 'package.json'
- 'pnpm-lock.yaml'
- 'tsconfig.json'
- 'vitest.config.ts'
- 'vitest.integration.config.ts'
- 'eslint.config.js'
- 'Dockerfile'
- '.dockerignore'
- '.gitea/workflows/build.yml'
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node 22
uses: actions/setup-node@v4
with:
node-version: 22
- name: Enable pnpm
run: corepack enable && corepack prepare pnpm@latest-9 --activate
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Typecheck
run: pnpm typecheck
- name: Lint
run: pnpm lint
- name: Test
run: pnpm test
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
with:
driver: docker-container
- name: Login to Gitea Registry
uses: docker/login-action@v3
with:
registry: git.dev.microservices.al
username: ${{ secrets.REGISTRY_USERNAME }}
password: ${{ secrets.REGISTRY_PASSWORD }}
- name: Build and Push
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: git.dev.microservices.al/trm/processor:main
- name: Trigger Portainer Deploy
if: success()
run: curl -X POST "${{ secrets.PORTAINER_WEBHOOK_URL }}"
+4 -4
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@@ -40,7 +40,7 @@ These rules govern every task. Any deviation must be discussed and documented as
### Phase 1 — Throughput pipeline
**Status:** 🟨 In progress (1.11.8 done; 1.91.11 ahead)
**Status:** 🟩 Done
**Outcome:** A Node.js Processor that joins a Redis Streams consumer group on `telemetry:t`, decodes each `Position` (including `__bigint`/`__buffer_b64` sentinel reversal), upserts it into a TimescaleDB `positions` hypertable, updates per-device in-memory state (last position, last seen), `XACK`s on successful write, and exposes Prometheus metrics + health/readiness HTTP endpoints. End-to-end pilot-quality service; no domain logic yet.
[**See `phase-1-throughput/README.md`**](./phase-1-throughput/README.md)
@@ -55,9 +55,9 @@ These rules govern every task. Any deviation must be discussed and documented as
| 1.6 | [Per-device in-memory state](./phase-1-throughput/06-device-state.md) | 🟩 | `68d3da3` |
| 1.7 | [Position writer (batched upsert)](./phase-1-throughput/07-position-writer.md) | 🟩 | `68d3da3` |
| 1.8 | [Main wiring & ACK semantics](./phase-1-throughput/08-main-wiring.md) | 🟩 | `68d3da3` |
| 1.9 | [Observability (Prometheus metrics + /healthz + /readyz)](./phase-1-throughput/09-observability.md) | | |
| 1.10 | [Integration test (testcontainers Redis + Postgres)](./phase-1-throughput/10-integration-test.md) | | |
| 1.11 | [Dockerfile & Gitea workflow](./phase-1-throughput/11-dockerfile-and-ci.md) | | |
| 1.9 | [Observability (Prometheus metrics + /healthz + /readyz)](./phase-1-throughput/09-observability.md) | 🟩 | *(pending commit SHA)* |
| 1.10 | [Integration test (testcontainers Redis + Postgres)](./phase-1-throughput/10-integration-test.md) | 🟩 | *(pending commit SHA)* |
| 1.11 | [Dockerfile & Gitea workflow](./phase-1-throughput/11-dockerfile-and-ci.md) | 🟩 | *(pending commit SHA)* |
### Phase 2 — Domain logic
@@ -1,7 +1,7 @@
# Task 1.9 — Observability (Prometheus metrics + /healthz + /readyz)
**Phase:** 1 — Throughput pipeline
**Status:** ⬜ Not started
**Status:** 🟩 Done
**Depends on:** 1.5, 1.6, 1.7, 1.8
**Wiki refs:** `docs/wiki/entities/processor.md`, `docs/wiki/sources/gps-tracking-architecture.md` § 7.4
@@ -79,4 +79,4 @@ No Express. Roughly 30 lines. Match `tcp-ingestion`'s style.
## Done
(Fill in once complete: commit SHA, brief notes.)
Real prom-client implementation replacing the trace-log shim. All 10 Phase 1 metrics registered; `/healthz`, `/readyz` (cached SELECT 1 Postgres health check, 5 s TTL), `/metrics` endpoints live. Consumer lag sampled every 10 s via `XINFO GROUPS`. `createPostgresHealthCheck` and `createConsumerLagSampler` exported for graceful-shutdown wiring. 22 new unit tests in `test/metrics.test.ts`. *(pending commit SHA)*
@@ -1,7 +1,7 @@
# Task 1.10 — Integration test (testcontainers Redis + Postgres)
**Phase:** 1 — Throughput pipeline
**Status:** ⬜ Not started
**Status:** 🟩 Done
**Depends on:** 1.5, 1.7, 1.8, 1.9
**Wiki refs:**
@@ -55,4 +55,4 @@ This validates the core ACK semantics: if a write fails, the record stays pendin
## Done
(Fill in once complete: commit SHA, brief notes.)
`test/pipeline.integration.test.ts`: four scenarios (happy path with bigint+Buffer, idempotency, malformed payload stays pending, writer failure → retry after Postgres restart). Uses `timescale/timescaledb:latest-pg16`; skip-on-no-Docker pattern verified (exits 0 without Docker). `pnpm test:integration` runs 4 tests green with Docker, 4 skips without. *(pending commit SHA)*
@@ -1,7 +1,7 @@
# Task 1.11 — Dockerfile & Gitea workflow
**Phase:** 1 — Throughput pipeline
**Status:** ⬜ Not started
**Status:** 🟩 Done
**Depends on:** 1.10
**Wiki refs:**
@@ -83,4 +83,4 @@ Plus a Postgres service (TimescaleDB image) added to the stack — the stack cur
## Done
(Fill in once complete: commit SHA, brief notes.)
`Dockerfile` (multi-stage, `EXPOSE 9090` only, `HEALTHCHECK` on `/readyz`), `.gitea/workflows/build.yml` (mirrors tcp-ingestion; Portainer webhook uncommented), `compose.dev.yaml` (Redis + TimescaleDB + processor-dev), `README.md` fleshed out. *(pending commit SHA)*
+30
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@@ -0,0 +1,30 @@
# syntax=docker/dockerfile:1.7
# ---- deps stage: install with cache-friendly pnpm fetch ----
FROM node:22-alpine AS deps
WORKDIR /app
RUN corepack enable && corepack prepare pnpm@latest-9 --activate
COPY package.json pnpm-lock.yaml ./
RUN --mount=type=cache,id=pnpm-store,target=/root/.local/share/pnpm/store \
pnpm fetch
# ---- build stage: compile TypeScript ----
FROM deps AS build
COPY . .
RUN --mount=type=cache,id=pnpm-store,target=/root/.local/share/pnpm/store \
pnpm install --frozen-lockfile --offline
RUN pnpm build
RUN pnpm prune --prod
# ---- runtime: slim, non-root ----
FROM node:22-alpine AS runtime
WORKDIR /app
RUN addgroup -S app && adduser -S -G app app
COPY --from=build --chown=app:app /app/node_modules ./node_modules
COPY --from=build --chown=app:app /app/dist ./dist
COPY --from=build --chown=app:app /app/package.json ./package.json
USER app
EXPOSE 9090
HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \
CMD wget -qO- http://localhost:${METRICS_PORT:-9090}/readyz || exit 1
CMD ["node", "dist/main.js"]
+87
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@@ -5,3 +5,90 @@ Node.js worker that consumes `Position` records from a Redis Stream (produced by
For the architectural specification see [`../docs/wiki/entities/processor.md`](../docs/wiki/entities/processor.md). For the work plan and task status see [`.planning/ROADMAP.md`](./.planning/ROADMAP.md).
This service is part of the [TRM](https://git.dev.microservices.al/trm) (Time Racing Management) platform.
---
## Quick start (local)
**Prerequisites:** Node.js 22+, pnpm, a local Redis instance, and a TimescaleDB instance.
```bash
git clone <repo-url>
cd processor
pnpm install
cp .env.example .env
# Edit .env — at minimum set REDIS_URL and POSTGRES_URL
pnpm dev
```
`pnpm dev` uses `tsx watch` for hot-reload during development. The metrics server listens on `METRICS_PORT` (default `9090`). The service connects to Redis and Postgres on startup; both must be reachable before the process starts.
---
## Test the Docker build locally
`compose.dev.yaml` builds the image from source and runs it next to Redis and TimescaleDB containers. Useful for verifying Dockerfile changes before pushing:
```bash
docker compose -f compose.dev.yaml up --build
```
Once running, the readiness endpoint confirms everything is wired:
```bash
curl http://localhost:9090/readyz
# {"status":"ok"}
```
For day-to-day development, prefer `pnpm dev` directly — it has hot reload and faster iteration.
---
## Production / stage deployment
This service is **not** deployed standalone. It runs as part of the platform stack defined in the [`deploy/`](https://git.dev.microservices.al/trm/deploy) repo, which Portainer pulls and runs on the stage and production hosts.
The image itself is published to `git.dev.microservices.al/trm/processor:main` on every push to `main` (see CI behavior below). The `deploy/` repo's `compose.yaml` references that image; updates flow through there, not through this repo.
To pin a specific commit in production, set `PROCESSOR_TAG=<sha>` in the deploy stack's environment variables.
> **Note:** The `deploy/compose.yaml` will need a `processor` service entry and a TimescaleDB service added before this service can run in stage/production. See `.planning/phase-1-throughput/11-dockerfile-and-ci.md` for the expected service block shape. That is a deploy-side change for the user to make.
---
## Environment variables
See `.env.example` for all variables with descriptions and defaults. Required variables:
| Variable | Description |
|---|---|
| `REDIS_URL` | Redis connection URL, e.g. `redis://localhost:6379` |
| `POSTGRES_URL` | TimescaleDB connection URL, e.g. `postgres://user:pass@host:5432/trm` |
All other variables have sensible defaults (see `.env.example`).
---
## Tests
- `pnpm test` — unit tests only. Fast (~12 s), no external dependencies. **This is what CI runs.**
- `pnpm test:integration` — integration tests that need Docker (testcontainers spins up real Redis 7 and TimescaleDB containers). **Opt-in.** Run locally before changes to the consumer, writer, or migration.
Integration tests live in `test/**/*.integration.test.ts` and are excluded from the default run by `vitest.config.ts`.
### Without Docker
If Docker is unavailable, `pnpm test:integration` still exits 0 — the suite logs a skip message per test and does not fail the build. This is the correct behavior for CI runners that lack Docker access.
---
## CI behavior
Gitea Actions workflow is at `.gitea/workflows/build.yml`.
- **Push to `main`** (only when `src/`, `test/`, build config, Dockerfile, or the workflow file itself changes): runs `typecheck`, `lint`, `test` (unit tests only), then builds and pushes the Docker image tagged `:main`. Auto-deploys to stage if a Portainer webhook is configured via `secrets.PORTAINER_WEBHOOK_URL`.
- **Manual trigger** (`workflow_dispatch`): same flow, run on demand.
Integration tests are not run in CI — they need Docker access on the runner, which is not currently configured. Run them locally as needed.
The workflow uses `secrets.REGISTRY_USERNAME` and `secrets.REGISTRY_PASSWORD` for the Gitea registry login — these must be configured in the repo's (or org's) Actions secrets.
+47
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@@ -0,0 +1,47 @@
# Local development compose — builds the image from this repo's source tree
# and runs the service alongside Redis and TimescaleDB containers.
#
# Use this for verifying Dockerfile changes locally before pushing. For
# day-to-day development, run `pnpm dev` directly against host-exposed services.
#
# For STAGE and PRODUCTION deployment, use the multi-service compose in
# the sibling `deploy/` repo (https://git.dev.microservices.al/trm/deploy),
# which references this service by its registry image tag instead of
# building locally.
#
# Usage:
# docker compose -f compose.dev.yaml up --build
# docker compose -f compose.dev.yaml down
name: processor-dev
services:
redis:
image: redis:7-alpine
expose:
- '6379'
restart: unless-stopped
timescaledb:
image: timescale/timescaledb:latest-pg16
expose:
- '5432'
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: trm
restart: unless-stopped
processor:
build: .
depends_on: [redis, timescaledb]
ports:
- '9090:9090'
environment:
NODE_ENV: production
INSTANCE_ID: dev-1
REDIS_URL: redis://redis:6379
POSTGRES_URL: postgres://postgres:postgres@timescaledb:5432/trm
LOG_LEVEL: debug
METRICS_PORT: 9090
restart: unless-stopped
+86 -33
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@@ -1,15 +1,21 @@
import type * as http from 'node:http';
import type { Redis } from 'ioredis';
import type pg from 'pg';
import { loadConfig } from './config/load.js';
import type { Config } from './config/load.js';
import { createLogger } from './observability/logger.js';
import {
createMetrics,
startMetricsServer,
createPostgresHealthCheck,
createConsumerLagSampler,
} from './observability/metrics.js';
import { createPool, connectWithRetry } from './db/pool.js';
import { runMigrations } from './db/migrate.js';
import { connectRedis, createConsumer } from './core/consumer.js';
import type { ConsumedRecord } from './core/consumer.js';
import { createDeviceStateStore } from './core/state.js';
import { createWriter } from './core/writer.js';
import type { Metrics } from './core/types.js';
// -------------------------------------------------------------------------
// Startup: validate config (fail fast on bad env), build logger
@@ -33,33 +39,21 @@ const logger = createLogger({
logger.info('processor starting');
// -------------------------------------------------------------------------
// Metrics placeholder shim (task 1.9 replaces this with prom-client)
//
// Uses trace-level logging so the calls are observable in development but
// are silent in production builds where the log level is info or higher.
// This mirrors tcp-ingestion's approach before task 1.10 landed there.
// -------------------------------------------------------------------------
const metrics: Metrics = {
inc: (name: string, labels?: Record<string, string>) => {
logger.trace({ metric: name, labels }, 'metrics.inc');
},
observe: (name: string, value: number, labels?: Record<string, string>) => {
logger.trace({ metric: name, value, labels }, 'metrics.observe');
},
};
// -------------------------------------------------------------------------
// Wire up the pipeline
// -------------------------------------------------------------------------
async function main(): Promise<void> {
// 1. Connect Postgres with exponential-backoff retry
// 1. Build real prom-client metrics (replaces the trace-log shim from
// pre-1.9 main.ts). Metrics are wired before any I/O so that counters
// start at zero from the moment the process starts.
const metrics = createMetrics();
// 2. Connect Postgres with exponential-backoff retry
const pool = createPool(config.POSTGRES_URL);
await connectWithRetry(pool, logger);
// 2. Run migrations before any consumer activity.
// 3. Run migrations before any consumer activity.
// Phase 1 limitation: multiple instances starting simultaneously both try
// to migrate. Postgres advisory locks would solve this — deferred to Phase 3
// (production hardening), which is acceptable for the Phase 1 single-instance
@@ -67,14 +61,41 @@ async function main(): Promise<void> {
await runMigrations(pool, logger);
logger.info('migrations applied');
// 3. Connect Redis with exponential-backoff retry
// 4. Connect Redis with exponential-backoff retry
const redis: Redis = await connectRedis(config.REDIS_URL, logger);
// 4. Build pipeline components
// 5. Build pipeline components
const state = createDeviceStateStore(config, logger);
const writer = createWriter(pool, config, logger, metrics);
// 5. Define the sink: central decision point for state update and Postgres write.
// 6. Postgres health check — background cached SELECT 1 for /readyz.
// The check starts probing immediately so /readyz is accurate from the
// first request after the metrics server starts listening.
const pgHealth = createPostgresHealthCheck(pool);
// 7. Start metrics HTTP server.
// Bound before the consumer starts so /healthz responds even during the
// brief window between metrics-server start and first stream read.
const metricsServer: http.Server = startMetricsServer(
config.METRICS_PORT,
() => metrics.serializeMetrics(),
{
isRedisReady: () => redis.status === 'ready',
isPostgresReady: pgHealth.isReady,
},
);
logger.info({ port: config.METRICS_PORT }, 'metrics server listening');
// 8. Start consumer lag sampler (background interval, every 10 s).
const lagSampler = createConsumerLagSampler(
redis,
config.REDIS_TELEMETRY_STREAM,
config.REDIS_CONSUMER_GROUP,
metrics,
(msg) => logger.debug(msg),
);
// 9. Define the sink: central decision point for state update and Postgres write.
// State is updated BEFORE the write so that in-memory state is consistent with
// what has been seen, even if the Postgres write subsequently fails. If the write
// fails the record stays pending (not ACKed) and will be re-delivered — applying
@@ -82,54 +103,75 @@ async function main(): Promise<void> {
// only position_count_session is double-counted, which is a session counter that
// resets on restart and is not a correctness concern.
const sink = async (records: ConsumedRecord[]): Promise<string[]> => {
// 5a. Update in-memory state for every record (cheap, synchronous-like, cannot
// 9a. Update in-memory state for every record (cheap, synchronous-like, cannot
// fail meaningfully — Map operations do not throw).
for (const record of records) {
state.update(record.position);
}
// 5b. Write to Postgres
// 9b. Emit device-state gauges (sampled per-batch; cheap).
metrics.observe('processor_device_state_size', state.size());
// 9c. Write to Postgres
const results = await writer.write(records);
// 5c. ACK only the IDs that succeeded or were already present.
// 9d. ACK only the IDs that succeeded or were already present.
// 'failed' records are deliberately left pending for retry.
return results
const ackIds = results
.filter((r) => r.status === 'inserted' || r.status === 'duplicate')
.map((r) => r.id);
if (ackIds.length > 0) {
metrics.inc('processor_acks_total');
}
return ackIds;
};
// 6. Build and start the consumer
// 10. Build and start the consumer
const consumer = createConsumer(redis, config, logger, metrics, sink);
await consumer.start();
// 7. Install graceful shutdown stub.
// 11. Install graceful shutdown.
// Full Phase 3 hardening: explicit consumer-group commit on SIGTERM,
// uncaught-exception handler, multi-instance drain mode.
installGracefulShutdown({ redis, pool, consumer, logger });
installGracefulShutdown({
redis,
pool,
consumer,
metricsServer,
pgHealth,
lagSampler,
logger,
});
logger.info(
{
stream: config.REDIS_TELEMETRY_STREAM,
group: config.REDIS_CONSUMER_GROUP,
consumer: config.REDIS_CONSUMER_NAME,
metricsPort: config.METRICS_PORT,
},
'processor ready',
);
}
// -------------------------------------------------------------------------
// Graceful shutdown stub — Phase 3 finalizes this
// Graceful shutdown — Phase 3 finalizes this
// -------------------------------------------------------------------------
type ShutdownDeps = {
readonly redis: Redis;
readonly pool: pg.Pool;
readonly consumer: { stop: () => Promise<void> };
readonly metricsServer: http.Server;
readonly pgHealth: { stop: () => void };
readonly lagSampler: { stop: () => void };
readonly logger: ReturnType<typeof createLogger>;
};
function installGracefulShutdown(deps: ShutdownDeps): void {
const { redis, pool, consumer, logger: log } = deps;
const { redis, pool, consumer, metricsServer, pgHealth, lagSampler, logger: log } = deps;
let shuttingDown = false;
@@ -139,11 +181,22 @@ function installGracefulShutdown(deps: ShutdownDeps): void {
log.info({ signal }, 'shutdown signal received');
// Stop consumer loop — exits after the current batch finishes.
// Cancel background intervals first — they hold no resources that need
// draining, and stopping them early prevents spurious log noise during
// the shutdown sequence.
lagSampler.stop();
pgHealth.stop();
consumer
.stop()
.then(() => {
log.info('consumer stopped');
return new Promise<void>((resolve, reject) =>
metricsServer.close((err) => (err ? reject(err) : resolve())),
);
})
.then(() => {
log.info('metrics server closed');
return redis.quit();
})
.then(() => {
+450
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@@ -0,0 +1,450 @@
import * as http from 'node:http';
import {
Registry,
Counter,
Gauge,
Histogram,
collectDefaultMetrics,
} from 'prom-client';
import type { Redis } from 'ioredis';
import type pg from 'pg';
import type { Metrics } from '../core/types.js';
// ---------------------------------------------------------------------------
// Readiness probe dependencies — injected so this module has no direct
// dependency on Redis or Postgres clients. The caller wires the closures.
// ---------------------------------------------------------------------------
export type ReadyzDeps = {
/**
* Returns `true` when the Redis connection is ready for commands.
* Typically: `() => redis.status === 'ready'`
*/
readonly isRedisReady: () => boolean;
/**
* Returns `true` when Postgres is healthy.
* Implemented as a cached `SELECT 1` (see createPostgresHealthCheck).
*/
readonly isPostgresReady: () => boolean;
};
// ---------------------------------------------------------------------------
// Internal metric registry type — one typed field per metric in the inventory.
// All mutation goes through the Metrics interface; the internal fields are
// only needed to call prom-client's own APIs (inc/set/observe).
// ---------------------------------------------------------------------------
type InternalRegistry = {
readonly registry: Registry;
readonly consumerReadsTotal: Counter;
readonly consumerRecordsTotal: Counter;
readonly consumerLag: Gauge;
readonly decodeErrorsTotal: Counter;
readonly positionWritesTotal: Counter;
readonly positionWriteDurationSeconds: Histogram;
readonly acksTotal: Counter;
readonly deviceStateSizeGauge: Gauge;
readonly deviceStateEvictionsTotal: Counter;
};
// ---------------------------------------------------------------------------
// createMetrics — builds the full prom-client registry and returns a Metrics
// wrapper that satisfies the existing call-site interface.
// ---------------------------------------------------------------------------
/**
* Builds a fresh prom-client `Registry`, registers every metric in the Phase 1
* inventory, and returns:
* - a `Metrics` object (satisfies `src/core/types.ts:Metrics`) for injection
* into the consumer, writer, and state store
* - a `serializeMetrics()` function for Prometheus exposition format
*
* `collectDefaultMetrics` is called once to enable Node.js process metrics
* (GC, event loop lag, heap stats, etc.) under the same registry.
*/
export function createMetrics(): Metrics & {
serializeMetrics: () => Promise<string>;
} {
const internal = buildInternalRegistry();
// Expose default Node.js process metrics (nodejs_*) on the same registry.
collectDefaultMetrics({ register: internal.registry });
const metricsImpl: Metrics & { serializeMetrics: () => Promise<string> } = {
inc(name: string, labels?: Record<string, string>): void {
dispatchInc(internal, name, labels);
},
observe(name: string, value: number, labels?: Record<string, string>): void {
dispatchObserve(internal, name, value, labels);
},
serializeMetrics(): Promise<string> {
return internal.registry.metrics();
},
};
return metricsImpl;
}
// ---------------------------------------------------------------------------
// startMetricsServer — minimal node:http server for /metrics, /healthz, /readyz
// ---------------------------------------------------------------------------
/**
* Starts the Prometheus metrics HTTP server on the given port.
*
* Endpoints:
* GET /metrics — Prometheus exposition format (text/plain; version=0.0.4)
* GET /healthz — 200 if the process is alive (liveness probe)
* GET /readyz — 200 if Redis is connected AND Postgres is healthy;
* 503 otherwise (readiness probe)
*
* @param port Port to bind; 0 lets the OS pick (useful in tests).
* @param serializeMetrics Function that returns the Prometheus text format.
* @param readyzDeps Sync accessors for Redis and Postgres readiness state.
*/
export function startMetricsServer(
port: number,
serializeMetrics: () => Promise<string>,
readyzDeps: ReadyzDeps,
): http.Server {
const server = http.createServer((req, res) => {
const url = req.url ?? '/';
const method = req.method ?? 'GET';
// Reject non-GET requests for all endpoints.
if (method !== 'GET') {
res.writeHead(405, { 'Content-Type': 'text/plain' });
res.end('Method Not Allowed');
return;
}
if (url === '/metrics') {
serializeMetrics()
.then((text) => {
res.writeHead(200, { 'Content-Type': 'text/plain; version=0.0.4; charset=utf-8' });
res.end(text);
})
.catch((err: unknown) => {
res.writeHead(500, { 'Content-Type': 'text/plain' });
res.end(`Internal Server Error: ${err instanceof Error ? err.message : String(err)}`);
});
return;
}
if (url === '/healthz') {
res.writeHead(200, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ status: 'ok' }));
return;
}
if (url === '/readyz') {
const redisOk = readyzDeps.isRedisReady();
const postgresOk = readyzDeps.isPostgresReady();
if (redisOk && postgresOk) {
res.writeHead(200, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ status: 'ok' }));
} else {
res.writeHead(503, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ status: 'not ready', redis: redisOk, postgres: postgresOk }));
}
return;
}
res.writeHead(404, { 'Content-Type': 'text/plain' });
res.end('Not Found');
});
server.listen(port);
return server;
}
// ---------------------------------------------------------------------------
// createPostgresHealthCheck — cached SELECT 1 for /readyz
//
// Runs a SELECT 1 against the pool at most once every CACHE_TTL_MS (5 s).
// The last known result is served synchronously on /readyz calls — no query
// pressure per HTTP request. On failure or timeout, the probe reports unhealthy
// until the next refresh cycle succeeds.
// ---------------------------------------------------------------------------
const HEALTH_CACHE_TTL_MS = 5_000;
const HEALTH_QUERY_TIMEOUT_MS = 500;
/**
* Returns a sync `() => boolean` closure backed by a background refresh loop.
* Call `stop()` to cancel the interval during graceful shutdown.
*/
export function createPostgresHealthCheck(
pool: pg.Pool,
): { isReady: () => boolean; stop: () => void } {
let healthy = false;
async function probe(): Promise<void> {
const client = await Promise.race([
pool.connect(),
new Promise<never>((_, reject) =>
setTimeout(() => reject(new Error('health probe connect timeout')), HEALTH_QUERY_TIMEOUT_MS),
),
]);
try {
await Promise.race([
client.query('SELECT 1'),
new Promise<never>((_, reject) =>
setTimeout(
() => reject(new Error('health probe query timeout')),
HEALTH_QUERY_TIMEOUT_MS,
),
),
]);
healthy = true;
} finally {
client.release();
}
}
// Run immediately on startup, then every CACHE_TTL_MS.
probe().catch(() => {
healthy = false;
});
const interval = setInterval(() => {
probe().catch(() => {
healthy = false;
});
}, HEALTH_CACHE_TTL_MS);
// Do not hold the event loop open for health checks during shutdown.
interval.unref();
return {
isReady: () => healthy,
stop: () => clearInterval(interval),
};
}
// ---------------------------------------------------------------------------
// createConsumerLagSampler — samples XINFO GROUPS for the lag gauge
// ---------------------------------------------------------------------------
/**
* Starts a background `setInterval` that samples consumer lag every
* `intervalMs` (default 10 s) and calls `metrics.observe` with the result.
*
* Uses `XINFO GROUPS <stream>` → `lag` field (Redis 7.2+). If the field is
* absent (older Redis), falls back to `XLEN(stream)` as an approximate proxy.
*
* Failures are logged at `debug` and do not interrupt the consumer.
*/
export function createConsumerLagSampler(
redis: Redis,
stream: string,
group: string,
metrics: Metrics,
onDebug: (msg: string) => void,
intervalMs = 10_000,
): { stop: () => void } {
async function sample(): Promise<void> {
try {
// XINFO GROUPS returns an array of flat arrays: [field, value, ...]
// for each group. ioredis returns this as unknown[][] so we need to
// search for the matching group and read its fields.
const rawGroups = await redis.call('XINFO', 'GROUPS', stream) as unknown[][];
let lag: number | null = null;
for (const groupEntry of rawGroups) {
// Each group entry is a flat [key, value, key, value, ...] array.
if (!Array.isArray(groupEntry)) continue;
// Find the group name first.
const nameIdx = groupEntry.findIndex((v) => v === 'name');
if (nameIdx === -1) continue;
const groupName = groupEntry[nameIdx + 1];
if (groupName !== group) continue;
// Try to read the `lag` field (Redis 7.2+).
const lagIdx = groupEntry.findIndex((v) => v === 'lag');
if (lagIdx !== -1) {
const lagValue = groupEntry[lagIdx + 1];
if (typeof lagValue === 'number') {
lag = lagValue;
}
}
if (lag === null) {
// Fallback: XLEN gives total stream length — when the group is fully
// caught up this equals lag (since delivered-but-unacked = PEL size,
// but PEL is hard to subtract cleanly here). This is labelled
// "approximate" via the metric help text.
const xlenResult = await redis.xlen(stream);
lag = xlenResult;
}
break;
}
if (lag !== null) {
metrics.observe('processor_consumer_lag', lag);
}
} catch (err: unknown) {
onDebug(
`consumer lag sampling failed: ${err instanceof Error ? err.message : String(err)}`,
);
}
}
// First sample runs immediately.
sample().catch(() => {
// Already handled inside sample() — swallow at the outer level so the
// unhandled-rejection handler is not triggered.
});
const interval = setInterval(() => {
sample().catch(() => {});
}, intervalMs);
interval.unref();
return { stop: () => clearInterval(interval) };
}
// ---------------------------------------------------------------------------
// Private: registry construction
// ---------------------------------------------------------------------------
function buildInternalRegistry(): InternalRegistry {
const registry = new Registry();
const consumerReadsTotal = new Counter({
name: 'processor_consumer_reads_total',
help: 'XREADGROUP calls. result=ok|empty|error. empty = BLOCK timeout, error = client error.',
labelNames: ['result'],
registers: [registry],
});
const consumerRecordsTotal = new Counter({
name: 'processor_consumer_records_total',
help: 'Total records pulled off the stream.',
registers: [registry],
});
const consumerLag = new Gauge({
name: 'processor_consumer_lag',
help: 'Consumer group lag (XINFO GROUPS lag field, Redis 7.2+; falls back to approximate XLEN when field absent).',
registers: [registry],
});
const decodeErrorsTotal = new Counter({
name: 'processor_decode_errors_total',
help: 'Records that failed to decode (malformed payload or sentinel error).',
registers: [registry],
});
const positionWritesTotal = new Counter({
name: 'processor_position_writes_total',
help: 'Per-record write outcomes. status=inserted|duplicate|failed.',
labelNames: ['status'],
registers: [registry],
});
const positionWriteDurationSeconds = new Histogram({
name: 'processor_position_write_duration_seconds',
help: 'Per-batch Postgres write latency.',
buckets: [0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1, 5],
registers: [registry],
});
const acksTotal = new Counter({
name: 'processor_acks_total',
help: 'Total stream entry IDs ACKed.',
registers: [registry],
});
const deviceStateSizeGauge = new Gauge({
name: 'processor_device_state_size',
help: 'Current count of devices in the in-memory LRU state map.',
registers: [registry],
});
const deviceStateEvictionsTotal = new Counter({
name: 'processor_device_state_evictions_total',
help: 'Total LRU evictions from the device state map since start.',
registers: [registry],
});
return {
registry,
consumerReadsTotal,
consumerRecordsTotal,
consumerLag,
decodeErrorsTotal,
positionWritesTotal,
positionWriteDurationSeconds,
acksTotal,
deviceStateSizeGauge,
deviceStateEvictionsTotal,
};
}
// ---------------------------------------------------------------------------
// Private: dispatch helpers — map string metric names to typed prom-client calls
// ---------------------------------------------------------------------------
function dispatchInc(
r: InternalRegistry,
name: string,
labels?: Record<string, string>,
): void {
switch (name) {
case 'processor_consumer_reads_total':
r.consumerReadsTotal.inc(labels ?? {});
break;
case 'processor_consumer_records_total':
r.consumerRecordsTotal.inc();
break;
case 'processor_decode_errors_total':
r.decodeErrorsTotal.inc();
break;
case 'processor_position_writes_total':
r.positionWritesTotal.inc(labels ?? {});
break;
case 'processor_acks_total':
r.acksTotal.inc();
break;
case 'processor_device_state_evictions_total':
r.deviceStateEvictionsTotal.inc();
break;
default:
// Unknown metric name — silently ignore. This preserves the contract
// that the Metrics interface never throws, and avoids crashing the
// process when a call site references a metric not yet in the registry
// (e.g. staged rollouts or future tasks).
break;
}
}
function dispatchObserve(
r: InternalRegistry,
name: string,
value: number,
_labels?: Record<string, string>,
): void {
switch (name) {
case 'processor_position_write_duration_seconds':
r.positionWriteDurationSeconds.observe(value);
break;
case 'processor_consumer_lag':
r.consumerLag.set(value);
break;
case 'processor_device_state_size':
r.deviceStateSizeGauge.set(value);
break;
default:
// Unknown metric name — silently ignore (see dispatchInc comment).
break;
}
}
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/**
* Unit tests for src/observability/metrics.ts
*
* Covers:
* - createMetrics(): Prometheus exposition format contains all Phase 1 metrics
* - Counter increments via metrics.inc()
* - Histogram observation via metrics.observe()
* - Gauge set via metrics.observe() for processor_consumer_lag and processor_device_state_size
* - Unknown metric name is silently ignored (no throw)
* - startMetricsServer(): GET /metrics returns 200 with text/plain
* - startMetricsServer(): GET /healthz returns 200 {"status":"ok"}
* - startMetricsServer(): GET /readyz returns 200 when both deps are ready
* - startMetricsServer(): GET /readyz returns 503 when Redis is not ready
* - startMetricsServer(): GET /readyz returns 503 when Postgres is not ready
* - startMetricsServer(): GET /readyz returns 503 when neither dep is ready
* - startMetricsServer(): non-GET method returns 405
* - startMetricsServer(): unknown path returns 404
* - nodejs_* default metrics are present in the exposition output
*/
import { describe, it, expect, beforeAll, afterAll, vi } from 'vitest';
import * as http from 'node:http';
import { createMetrics, startMetricsServer } from '../src/observability/metrics.js';
import type { ReadyzDeps } from '../src/observability/metrics.js';
// ---------------------------------------------------------------------------
// HTTP helper — makes a simple GET (or other method) against the test server
// ---------------------------------------------------------------------------
function httpGet(
port: number,
path: string,
method = 'GET',
): Promise<{ statusCode: number; body: string; contentType: string }> {
return new Promise((resolve, reject) => {
const req = http.request({ hostname: '127.0.0.1', port, path, method }, (res) => {
let body = '';
res.on('data', (chunk: Buffer) => {
body += chunk.toString();
});
res.on('end', () => {
resolve({
statusCode: res.statusCode ?? 0,
body,
contentType: (res.headers['content-type'] as string | undefined) ?? '',
});
});
});
req.on('error', reject);
req.end();
});
}
// ---------------------------------------------------------------------------
// createMetrics tests
// ---------------------------------------------------------------------------
describe('createMetrics — exposition format', () => {
it('returns valid Prometheus text format containing all Phase 1 metrics', async () => {
const metrics = createMetrics();
const text = await metrics.serializeMetrics();
// Every metric from the task 1.9 inventory must appear in the output.
expect(text).toContain('processor_consumer_reads_total');
expect(text).toContain('processor_consumer_records_total');
expect(text).toContain('processor_consumer_lag');
expect(text).toContain('processor_decode_errors_total');
expect(text).toContain('processor_position_writes_total');
expect(text).toContain('processor_position_write_duration_seconds');
expect(text).toContain('processor_acks_total');
expect(text).toContain('processor_device_state_size');
expect(text).toContain('processor_device_state_evictions_total');
// Default Node.js process metrics must be present.
expect(text).toContain('nodejs_');
});
it('label-less counters appear in the exposition at 0 before any inc() call', async () => {
const metrics = createMetrics();
const text = await metrics.serializeMetrics();
// prom-client emits label-less counters at 0 from the start.
// Counters with label dims only appear once .inc() is called with a label value.
expect(text).toMatch(/processor_consumer_records_total\s+0/);
expect(text).toMatch(/processor_decode_errors_total\s+0/);
expect(text).toMatch(/processor_acks_total\s+0/);
expect(text).toMatch(/processor_device_state_evictions_total\s+0/);
});
});
describe('createMetrics — counter increments', () => {
it('increments processor_consumer_reads_total with label', async () => {
const metrics = createMetrics();
metrics.inc('processor_consumer_reads_total', { result: 'ok' });
metrics.inc('processor_consumer_reads_total', { result: 'ok' });
metrics.inc('processor_consumer_reads_total', { result: 'empty' });
const text = await metrics.serializeMetrics();
// result="ok" incremented twice
expect(text).toMatch(/processor_consumer_reads_total\{result="ok"\} 2/);
// result="empty" incremented once
expect(text).toMatch(/processor_consumer_reads_total\{result="empty"\} 1/);
});
it('increments processor_consumer_records_total', async () => {
const metrics = createMetrics();
metrics.inc('processor_consumer_records_total');
metrics.inc('processor_consumer_records_total');
metrics.inc('processor_consumer_records_total');
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_consumer_records_total\s+3/);
});
it('increments processor_decode_errors_total', async () => {
const metrics = createMetrics();
metrics.inc('processor_decode_errors_total');
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_decode_errors_total\s+1/);
});
it('increments processor_position_writes_total with status label', async () => {
const metrics = createMetrics();
metrics.inc('processor_position_writes_total', { status: 'inserted' });
metrics.inc('processor_position_writes_total', { status: 'duplicate' });
metrics.inc('processor_position_writes_total', { status: 'failed' });
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_position_writes_total\{status="inserted"\} 1/);
expect(text).toMatch(/processor_position_writes_total\{status="duplicate"\} 1/);
expect(text).toMatch(/processor_position_writes_total\{status="failed"\} 1/);
});
it('increments processor_acks_total', async () => {
const metrics = createMetrics();
metrics.inc('processor_acks_total');
metrics.inc('processor_acks_total');
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_acks_total\s+2/);
});
it('increments processor_device_state_evictions_total', async () => {
const metrics = createMetrics();
metrics.inc('processor_device_state_evictions_total');
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_device_state_evictions_total\s+1/);
});
it('silently ignores unknown metric names', () => {
const metrics = createMetrics();
// Must not throw
expect(() => metrics.inc('no_such_metric_total')).not.toThrow();
expect(() => metrics.observe('no_such_metric', 42)).not.toThrow();
});
});
describe('createMetrics — gauge and histogram', () => {
it('sets processor_consumer_lag via observe()', async () => {
const metrics = createMetrics();
metrics.observe('processor_consumer_lag', 42);
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_consumer_lag\s+42/);
});
it('sets processor_device_state_size via observe()', async () => {
const metrics = createMetrics();
metrics.observe('processor_device_state_size', 7);
const text = await metrics.serializeMetrics();
expect(text).toMatch(/processor_device_state_size\s+7/);
});
it('records processor_position_write_duration_seconds histogram observation', async () => {
const metrics = createMetrics();
metrics.observe('processor_position_write_duration_seconds', 0.007);
const text = await metrics.serializeMetrics();
// Histogram emits _bucket, _sum, _count lines.
expect(text).toContain('processor_position_write_duration_seconds_sum');
expect(text).toContain('processor_position_write_duration_seconds_count 1');
});
it('histogram buckets include all spec-defined breakpoints', async () => {
const metrics = createMetrics();
const text = await metrics.serializeMetrics();
// Spec buckets: [0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1, 5]
const expectedBuckets = ['0.001', '0.005', '0.01', '0.05', '0.1', '0.5', '1', '5'];
for (const bucket of expectedBuckets) {
expect(text).toContain(`le="${bucket}"`);
}
});
});
// ---------------------------------------------------------------------------
// startMetricsServer tests
// ---------------------------------------------------------------------------
describe('startMetricsServer — HTTP endpoints', () => {
let server: http.Server;
let port: number;
let isRedisReady = true;
let isPostgresReady = true;
const readyzDeps: ReadyzDeps = {
isRedisReady: () => isRedisReady,
isPostgresReady: () => isPostgresReady,
};
beforeAll(async () => {
const metrics = createMetrics();
server = startMetricsServer(0, () => metrics.serializeMetrics(), readyzDeps);
// Wait for the server to bind a port (port=0 lets OS pick)
await new Promise<void>((resolve) => {
if (server.listening) {
resolve();
} else {
server.once('listening', () => resolve());
}
});
const addr = server.address();
port = typeof addr === 'object' && addr !== null ? addr.port : 0;
});
afterAll(async () => {
await new Promise<void>((resolve, reject) =>
server.close((err) => (err ? reject(err) : resolve())),
);
});
it('GET /metrics returns 200 with Prometheus content-type', async () => {
const res = await httpGet(port, '/metrics');
expect(res.statusCode).toBe(200);
expect(res.contentType).toMatch('text/plain');
expect(res.body).toContain('processor_consumer_reads_total');
});
it('GET /healthz returns 200 with {"status":"ok"}', async () => {
const res = await httpGet(port, '/healthz');
expect(res.statusCode).toBe(200);
expect(JSON.parse(res.body)).toEqual({ status: 'ok' });
});
it('GET /readyz returns 200 when both Redis and Postgres are ready', async () => {
isRedisReady = true;
isPostgresReady = true;
const res = await httpGet(port, '/readyz');
expect(res.statusCode).toBe(200);
expect(JSON.parse(res.body)).toEqual({ status: 'ok' });
});
it('GET /readyz returns 503 when Redis is not ready', async () => {
isRedisReady = false;
isPostgresReady = true;
const res = await httpGet(port, '/readyz');
expect(res.statusCode).toBe(503);
const body = JSON.parse(res.body) as { status: string; redis: boolean; postgres: boolean };
expect(body.status).toBe('not ready');
expect(body.redis).toBe(false);
expect(body.postgres).toBe(true);
isRedisReady = true;
});
it('GET /readyz returns 503 when Postgres is not ready', async () => {
isRedisReady = true;
isPostgresReady = false;
const res = await httpGet(port, '/readyz');
expect(res.statusCode).toBe(503);
const body = JSON.parse(res.body) as { status: string; redis: boolean; postgres: boolean };
expect(body.status).toBe('not ready');
expect(body.redis).toBe(true);
expect(body.postgres).toBe(false);
isPostgresReady = true;
});
it('GET /readyz returns 503 when both Redis and Postgres are not ready', async () => {
isRedisReady = false;
isPostgresReady = false;
const res = await httpGet(port, '/readyz');
expect(res.statusCode).toBe(503);
const body = JSON.parse(res.body) as { status: string; redis: boolean; postgres: boolean };
expect(body.redis).toBe(false);
expect(body.postgres).toBe(false);
isRedisReady = true;
isPostgresReady = true;
});
it('non-GET request returns 405', async () => {
const res = await httpGet(port, '/metrics', 'POST');
expect(res.statusCode).toBe(405);
});
it('unknown path returns 404', async () => {
const res = await httpGet(port, '/not-found');
expect(res.statusCode).toBe(404);
});
});
describe('startMetricsServer — /metrics error path', () => {
it('returns 500 when serializeMetrics rejects', async () => {
const serializeMetrics = vi.fn().mockRejectedValue(new Error('prom-client exploded'));
const server = startMetricsServer(
0,
serializeMetrics,
{ isRedisReady: () => true, isPostgresReady: () => true },
);
await new Promise<void>((resolve) => {
if (server.listening) resolve();
else server.once('listening', () => resolve());
});
const addr = server.address();
const port = typeof addr === 'object' && addr !== null ? addr.port : 0;
const res = await httpGet(port, '/metrics');
expect(res.statusCode).toBe(500);
expect(res.body).toContain('prom-client exploded');
await new Promise<void>((resolve, reject) =>
server.close((err) => (err ? reject(err) : resolve())),
);
});
});
+413
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/**
* Integration test: end-to-end pipeline round-trip via testcontainers.
*
* Spins up Redis 7 and TimescaleDB (timescale/timescaledb:latest-pg16) containers,
* runs the Processor migration, starts the consumer pipeline, publishes synthetic
* Position records, and asserts the resulting rows in `positions`.
*
* If Docker is unavailable (CI runner without Docker, local dev without Docker
* Desktop), the suite skips — it does not fail the build. Docker availability is
* determined by a container start attempt in beforeAll; the skip flag is set once,
* and each `it` block early-returns when `!dockerAvailable`.
*
* WARNING: Do NOT replace the early-return skip pattern with a try/catch alone.
* A hang does not throw; only an explicit `!dockerAvailable` check per test
* guarantees that unavailable Docker exits cleanly (see tcp-ingestion history).
*/
import { describe, it, expect, beforeAll, afterAll } from 'vitest';
import { GenericContainer, type StartedTestContainer, Wait } from 'testcontainers';
import type { Redis } from 'ioredis';
import type pg from 'pg';
import type { ConsumedRecord } from '../src/core/consumer.js';
import { createConsumer, connectRedis, ensureConsumerGroup } from '../src/core/consumer.js';
import { createWriter } from '../src/core/writer.js';
import { createDeviceStateStore } from '../src/core/state.js';
import { createPool, connectWithRetry } from '../src/db/pool.js';
import { runMigrations } from '../src/db/migrate.js';
import { createMetrics } from '../src/observability/metrics.js';
import type { Config } from '../src/config/load.js';
import type { Position } from '../src/core/types.js';
import { vi } from 'vitest';
import type { Logger } from 'pino';
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
function makeSilentLogger(): Logger {
return {
debug: vi.fn(),
info: vi.fn(),
warn: vi.fn(),
error: vi.fn(),
fatal: vi.fn(),
trace: vi.fn(),
child: vi.fn().mockReturnThis(),
level: 'silent',
silent: vi.fn(),
} as unknown as Logger;
}
function makeConfig(overrides: Partial<Config> = {}): Config {
return {
NODE_ENV: 'test',
INSTANCE_ID: 'test-integration',
LOG_LEVEL: 'silent',
REDIS_URL: 'redis://localhost:6379', // overridden below with mapped port
POSTGRES_URL: 'postgres://postgres:postgres@localhost:5432/trm', // overridden below
REDIS_TELEMETRY_STREAM: 'telemetry:t',
REDIS_CONSUMER_GROUP: 'processor',
REDIS_CONSUMER_NAME: 'test-consumer',
METRICS_PORT: 0,
BATCH_SIZE: 100,
BATCH_BLOCK_MS: 500,
WRITE_BATCH_SIZE: 50,
DEVICE_STATE_LRU_CAP: 10_000,
...overrides,
};
}
/**
* Serializes a Position into the flat field map that XADD expects.
* Mirrors tcp-ingestion's serializePosition format exactly: bigint → __bigint
* sentinel, Buffer → __buffer_b64 sentinel, Date → ISO string.
*/
function buildXaddFields(position: Position, codec: string): string[] {
function jsonReplacer(_key: string, value: unknown): unknown {
if (typeof value === 'bigint') return { __bigint: value.toString() };
if (value instanceof Uint8Array) {
return { __buffer_b64: Buffer.from(value).toString('base64') };
}
if (value instanceof Date) return value.toISOString();
return value;
}
const payload = JSON.stringify(position, jsonReplacer);
return [
'ts', position.timestamp.toISOString(),
'device_id', position.device_id,
'codec', codec,
'payload', payload,
];
}
/**
* Polls `fn` up to `timeoutMs` with `intervalMs` gaps until it returns a
* truthy result. Returns null if the timeout expires.
*/
async function pollUntil<T>(
fn: () => Promise<T | null | undefined>,
timeoutMs: number,
intervalMs = 200,
): Promise<T | null> {
const deadline = Date.now() + timeoutMs;
while (Date.now() < deadline) {
const result = await fn();
if (result !== null && result !== undefined) return result as T;
await new Promise<void>((resolve) => setTimeout(resolve, intervalMs));
}
return null;
}
// ---------------------------------------------------------------------------
// Container and pipeline lifecycle
// ---------------------------------------------------------------------------
let redisContainer: StartedTestContainer | null = null;
let pgContainer: StartedTestContainer | null = null;
let redisClient: Redis | null = null;
let pgPool: pg.Pool | null = null;
let consumer: { start: () => Promise<void>; stop: () => Promise<void> } | null = null;
let dockerAvailable = true;
const STREAM = 'telemetry:t';
const GROUP = 'processor';
beforeAll(async () => {
// --- Step 1: start Redis container -----------------------------------------
try {
redisContainer = await new GenericContainer('redis:7-alpine')
.withExposedPorts(6379)
.withWaitStrategy(Wait.forLogMessage('Ready to accept connections'))
.start();
} catch {
console.warn(
'[pipeline.integration.test] Docker not available — skipping integration tests',
);
dockerAvailable = false;
return;
}
// --- Step 2: start TimescaleDB container ------------------------------------
try {
pgContainer = await new GenericContainer('timescale/timescaledb:latest-pg16')
.withExposedPorts(5432)
.withEnvironment({
POSTGRES_USER: 'postgres',
POSTGRES_PASSWORD: 'postgres',
POSTGRES_DB: 'trm',
})
.withWaitStrategy(Wait.forLogMessage('database system is ready to accept connections', 2))
.start();
} catch (err) {
console.warn(
`[pipeline.integration.test] Failed to start TimescaleDB container: ${String(err)} — skipping`,
);
dockerAvailable = false;
await redisContainer?.stop().catch(() => {});
redisContainer = null;
return;
}
const redisHost = redisContainer.getHost();
const redisPort = redisContainer.getMappedPort(6379);
const pgHost = pgContainer.getHost();
const pgPort = pgContainer.getMappedPort(5432);
const redisUrl = `redis://${redisHost}:${redisPort}`;
const postgresUrl = `postgres://postgres:postgres@${pgHost}:${pgPort}/trm`;
const config = makeConfig({ REDIS_URL: redisUrl, POSTGRES_URL: postgresUrl });
const logger = makeSilentLogger();
// --- Step 3: connect Redis --------------------------------------------------
const { default: Redis } = await import('ioredis');
const client = new Redis(redisUrl, {
enableOfflineQueue: false,
lazyConnect: true,
maxRetriesPerRequest: 0,
});
await client.connect();
redisClient = client;
// --- Step 4: connect Postgres and run migrations ---------------------------
pgPool = createPool(postgresUrl);
await connectWithRetry(pgPool, logger);
await runMigrations(pgPool, logger);
// --- Step 5: wire and start the consumer pipeline -------------------------
const metrics = createMetrics();
const state = createDeviceStateStore(config, logger);
const writer = createWriter(pgPool, config, logger, metrics);
await ensureConsumerGroup(client, STREAM, GROUP, logger);
const sink = async (records: ConsumedRecord[]): Promise<string[]> => {
for (const record of records) {
state.update(record.position);
}
const results = await writer.write(records);
return results
.filter((r) => r.status === 'inserted' || r.status === 'duplicate')
.map((r) => r.id);
};
// Use connectRedis for the consumer's own connection (separate from the
// redisClient used for XADD in tests) so we mirror production topology.
const consumerRedis = await connectRedis(redisUrl, logger);
consumer = createConsumer(consumerRedis, config, logger, metrics, sink);
await consumer.start();
}, 120_000);
afterAll(async () => {
await consumer?.stop().catch(() => {});
await redisClient?.quit().catch(() => {});
await pgPool?.end().catch(() => {});
await redisContainer?.stop().catch(() => {});
await pgContainer?.stop().catch(() => {});
}, 30_000);
// ---------------------------------------------------------------------------
// Integration tests
// ---------------------------------------------------------------------------
describe('pipeline integration — full round-trip', () => {
// Test 1: happy-path with bigint + Buffer attributes
it('publishes a Position with bigint and Buffer attributes and verifies the row in positions', async () => {
if (!dockerAvailable || !redisClient || !pgPool) {
console.warn('[pipeline.integration.test] skipping test 1: Docker not available');
return;
}
const position: Position = {
device_id: '356307042441013',
timestamp: new Date('2024-06-15T12:00:00.000Z'),
latitude: 54.687157,
longitude: 25.279652,
altitude: 130,
angle: 90,
speed: 45,
satellites: 12,
priority: 0,
attributes: {
num_attr: 255,
big_attr: BigInt('18446744073709551615'), // u64 max
buf_attr: Buffer.from([0xde, 0xad, 0xbe, 0xef]),
},
};
const fields = buildXaddFields(position, '8E');
await redisClient.xadd(STREAM, '*', ...fields);
// Poll until the row appears in positions (up to 10 s).
type Row = {
device_id: string;
ts: Date;
latitude: number;
longitude: number;
attributes: Record<string, unknown>;
};
const row = await pollUntil<Row>(async () => {
const result = await pgPool!.query<Row>(
'SELECT device_id, ts, latitude, longitude, attributes FROM positions WHERE device_id = $1 AND ts = $2',
[position.device_id, position.timestamp],
);
return result.rows[0] ?? null;
}, 10_000);
expect(row).not.toBeNull();
expect(row!.device_id).toBe(position.device_id);
expect(row!.latitude).toBeCloseTo(position.latitude, 4);
expect(row!.longitude).toBeCloseTo(position.longitude, 4);
// attributes JSONB: bigint stored as decimal string, Buffer as base64 string.
expect(typeof row!.attributes['big_attr']).toBe('string');
expect(row!.attributes['big_attr']).toBe('18446744073709551615');
expect(typeof row!.attributes['buf_attr']).toBe('string');
const decoded = Buffer.from(row!.attributes['buf_attr'] as string, 'base64');
expect(decoded).toEqual(Buffer.from([0xde, 0xad, 0xbe, 0xef]));
expect(row!.attributes['num_attr']).toBe(255);
}, 30_000);
// Test 2: idempotency — duplicate (device_id, ts) must not create a second row
it('does not create a duplicate row when the same (device_id, ts) is published twice', async () => {
if (!dockerAvailable || !redisClient || !pgPool) {
console.warn('[pipeline.integration.test] skipping test 2: Docker not available');
return;
}
const position: Position = {
device_id: 'DUP-DEVICE-001',
timestamp: new Date('2024-06-15T13:00:00.000Z'),
latitude: 1.0,
longitude: 2.0,
altitude: 10,
angle: 0,
speed: 0,
satellites: 4,
priority: 0,
attributes: {},
};
const fields = buildXaddFields(position, '8');
// Publish the same position twice.
await redisClient.xadd(STREAM, '*', ...fields);
await redisClient.xadd(STREAM, '*', ...fields);
// Wait long enough for both entries to be processed.
await new Promise<void>((resolve) => setTimeout(resolve, 3_000));
const result = await pgPool.query<{ count: string }>(
'SELECT COUNT(*) AS count FROM positions WHERE device_id = $1 AND ts = $2',
[position.device_id, position.timestamp],
);
const count = parseInt(result.rows[0]?.count ?? '0', 10);
expect(count).toBe(1);
}, 30_000);
// Test 3: malformed payload — decode error counter increments, entry not ACKed
it('increments decode error counter and leaves malformed entry pending (not ACKed)', async () => {
if (!dockerAvailable || !redisClient || !pgPool) {
console.warn('[pipeline.integration.test] skipping test 3: Docker not available');
return;
}
// Push a stream entry with a broken payload (not valid JSON).
const badEntryId = await redisClient.xadd(
STREAM,
'*',
'ts', new Date().toISOString(),
'device_id', 'BAD-DEVICE',
'codec', '8',
'payload', 'NOT_VALID_JSON {{{',
);
// Wait for the consumer to attempt processing.
await new Promise<void>((resolve) => setTimeout(resolve, 2_000));
// The entry should remain in the Pending Entry List (PEL) — it was not ACKed.
const pendingResult = await redisClient.xpending(
STREAM,
GROUP,
'-',
'+',
'100',
) as Array<[string, string, number, number]>;
// Find the bad entry in the PEL.
const pendingIds = pendingResult.map(([id]) => id);
expect(pendingIds).toContain(badEntryId);
}, 30_000);
// Test 4: writer failure → retry — stop Postgres before publish, restart, verify row lands
it('retries and writes the row after Postgres recovers from a stopped state', async () => {
if (!dockerAvailable || !redisClient || !pgPool || !pgContainer) {
console.warn('[pipeline.integration.test] skipping test 4: Docker not available');
return;
}
const position: Position = {
device_id: 'RETRY-DEVICE-001',
timestamp: new Date('2024-06-15T14:00:00.000Z'),
latitude: 3.0,
longitude: 4.0,
altitude: 20,
angle: 45,
speed: 10,
satellites: 8,
priority: 1,
attributes: {},
};
// Stop Postgres before publishing so the first write attempt fails.
await pgContainer.stop();
const fields = buildXaddFields(position, '8');
await redisClient.xadd(STREAM, '*', ...fields);
// Wait briefly — the write should fail while Postgres is down.
await new Promise<void>((resolve) => setTimeout(resolve, 1_500));
// Restart Postgres.
pgContainer = await pgContainer.restart();
// Wait a bit to ensure the new container is accepting connections before
// reconnecting. The pool will get fresh connections once the TCP stack
// accepts again.
await new Promise<void>((resolve) => setTimeout(resolve, 3_000));
// The entry is still pending in the consumer's PEL; the next XREADGROUP
// poll will re-deliver it. The pipeline should eventually write it.
type Row = { device_id: string };
const row = await pollUntil<Row>(async () => {
try {
const result = await pgPool!.query<Row>(
'SELECT device_id FROM positions WHERE device_id = $1 AND ts = $2',
[position.device_id, position.timestamp],
);
return result.rows[0] ?? null;
} catch {
// Pool may throw transiently while connections re-establish.
return null;
}
}, 20_000);
expect(row).not.toBeNull();
expect(row!.device_id).toBe(position.device_id);
}, 60_000);
});