Amin Mousavi db9d7d280a feat(backend): voice extraction endpoint
POST /voice/extract behind JwtAuthGuard + ClinicOrgGuard, plus
GET /voice/availability so the frontend can decide whether to render the
microphone — it cannot learn that from NEXT_PUBLIC_*, which are baked in at
build time.

Audio is held in memory for the request only: never written to disk, never a
Prisma row. The transcript goes back to the client and is not persisted. What
is logged is structured and patient-free — clip length, which fields resolved,
unresolved count, vendor cost, outcome — with log lines as the interim sink
until this repo has metrics infrastructure.

On extraction failure the transcript still travels back in the error details,
so the words the clinician already paid for can be salvaged into a note.

v1 ships ungated beyond a configured locale profile; the Plan.features design
is deferred, not dropped.

From review of this commit, four of which were load-bearing:

- Express's 100 kb default body limit rejected any recording past ~20 seconds,
  making the endpoint unusable at its own 2-minute cap. Body parsers are now
  registered explicitly with a 10 MB limit scoped to the voice route only.
  Verified empirically: 600 KB reaches /api/voice/extract, while /api/auth/login
  still 413s.
- ThrottlerGuard keys on req.ip, so behind nginx the whole deployment would
  share one bucket and an abuser rotating IPs would bypass it. VoiceThrottlerGuard
  keys on the user id instead — with no plan gate, this is the only control on
  metered vendor spend.
- ThrottlerException had no 429 fallback and surfaced as INTERNAL_ERROR; the
  guard now throws VOICE_RATE_LIMITED directly.
- durationMs was optional, so omitting it bypassed VOICE_MAX_RECORDING_MS
  entirely. It is required.
- VOICE_UNSUPPORTED_FORMAT was dead code — the DTO's @IsIn already rejects
  unknown containers — so it is gone rather than left unreachable.

ThrottlerModule is deliberately not bound as a global APP_GUARD: a global
ThrottlerGuard rate-limits every route against every named throttler, which
would have capped the whole API at the voice limit.

All seven remaining VOICE_* codes have errors.* keys in en, fa and nl.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-23 23:05:30 +03:30

Dyolink

Monorepo: NestJS backend (backend/), Next.js frontend (frontend/), Docker stack under infrastructure/..

Local development: see backend/README.md and frontend/README.md.

Cursor AI: project conventions for agents are in AGENTS.md, .cursor/rules/, and .cursor/skills/.


Production deploy (Docker Hub + HTTPS + Let's Encrypt)

Full step-by-step guide: infrastructure/DEPLOY.md

Minimal server setup: install Docker, create .env + secrets/, docker login, run one script.

On server (once) In repo / Docker
DNS A record → server IP docker-compose.prod.yml, nginx, certbot
docker login (private Hub) Build & push images from dev machine
secrets/database.env, secrets/backend.env Examples: database.prod.env.example, backend.prod.env.example
infrastructure/.env (DOMAIN, LETSENCRYPT_EMAIL) deploy.prod.env.example

Dev machine — build frontend with the public domain baked in, push to Docker Hub:

./infrastructure/scripts/build-and-push-prod.sh wixur.ir latest

Server — from infrastructure/:

cp deploy.prod.env.example .env          # edit DOMAIN, paths
mkdir -p ../secrets && cp database.prod.env.example ../secrets/database.env
cp backend.prod.env.example ../secrets/backend.env   # set passwords + FRONTEND_URL
docker login
chmod +x scripts/*.sh
./scripts/deploy-prod.sh

SSL is issued automatically via Certbot (scripts/init-letsencrypt.sh). Nginx config is generated from DOMAIN in .env. When you move to another domain (e.g. dyolink.com), update .env + backend.env, re-run init-letsencrypt.sh, and rebuild the frontend image with the new URL.


Deploy on your own server (Docker + Gitea)

High level: build container images → push to a registry → server pulls images and runs Compose. Optionally Gitea Actions automates that on every merge to main / master.

1. One-time server preparation

  1. Install Docker and Docker Compose on the server.

  2. Run Gitea with the container registry enabled (same host/port you use for docker login, e.g. 178.131.50.201:3000).

  3. Copy the repo (or deploy only infrastructure/ + secrets). You need at least:

    • infrastructure/docker-compose.registry.yml
    • infrastructure/nginx/ configs referenced by that compose file
    • infrastructure/database/init.sql if used by your Postgres service
  4. Secrets on the server (never commit real values):

    • Copy infrastructure/database.staging.env.exampledatabase.staging.env (Postgres user/password/db).
    • Copy infrastructure/backend.staging.env.examplebackend.staging.env (e.g. DATABASE_URL, JWT, pointing at the compose Postgres service name).
    • Put both files in one directory on the server, e.g. /opt/dyolink/secrets/.
  5. Registry login from the server (same credentials you use for docker push):

    docker login <registry-host>:<port> -u <user>
    

    For HTTP registries, Docker may require insecure-registries on the daemon.

2. Manual deploy (build images elsewhere, run on server)

On your dev machine (after successful local builds):

$REG = "<registry-host>:<port>"
$OWN = "<registry-owner>"
$TAG = "manual"

docker build -t "${REG}/${OWN}/dyolink-backend:${TAG}" -t "${REG}/${OWN}/dyolink-backend:latest" ./backend

docker build `
  --build-arg NEXT_PUBLIC_API_URL="http://<your-public-ip>:<nginx-port>/api" `
  --build-arg NEXT_PUBLIC_APP_URL="http://<your-public-ip>:<nginx-port>" `
  --build-arg NEXT_PUBLIC_APP_NAME="Dyolink" `
  -t "${REG}/${OWN}/dyolink-frontend:${TAG}" `
  -t "${REG}/${OWN}/dyolink-frontend:latest" `
  ./frontend

docker push "${REG}/${OWN}/dyolink-backend:${TAG}"
docker push "${REG}/${OWN}/dyolink-backend:latest"
docker push "${REG}/${OWN}/dyolink-frontend:${TAG}"
docker push "${REG}/${OWN}/dyolink-frontend:latest"

On the server, from infrastructure/:

  1. Create deploy.registry.env (see infrastructure/deploy.registry.env.example):

    • REGISTRY_PREFIX=<host>:<port>/<owner> (no http://, no trailing slash)
    • IMAGE_TAG=latest or the tag you pushed
    • STAGING_HTTP_PORT=<host port> (e.g. 8088 — browser uses http://<ip>:8088)
  2. Set DEPLOY_SECRETS_DIR to the absolute path of the folder containing database.staging.env and backend.staging.env (you can export it in the shell or add it to deploy.registry.env if your Compose setup expects it).

  3. Pull and start:

    docker compose -f docker-compose.registry.yml --env-file deploy.registry.env pull backend frontend
    docker compose -f docker-compose.registry.yml --env-file deploy.registry.env up -d
    

The backend container runs prisma migrate deploy on startup (via entrypoint) when NODE_ENV=production, so schema updates apply after you deploy a new image that includes new migrations.

3. Automatic deploy (Gitea Actions)

Workflow file: .gitea/workflows/registry-build-deploy.yml.

Requirements:

  • Gitea Actions enabled for the repository.

  • A self-hosted runner (with Docker) registered to Gitea — the workflow uses runs-on: self-hosted.

  • Windows runners: the workflow uses PowerShell (not Bash). Giteas runner was failing with execvpe(/bin/bash) failed when Bash was routed through WSL without a real /bin/bash. If your runner is Linux, switch .gitea/workflows/registry-build-deploy.yml to defaults.run.shell: bash and use Bash syntax instead.

  • Repository → Actions → Variables (examples):

    • REGISTRY_HOST — e.g. 178.131.50.201:3000
    • REGISTRY_OWNER — image namespace (same as Docker image path after the host), e.g. admin
    • PUBLIC_BASE_URL — URL users open in the browser, e.g. http://178.131.50.201:8088 (no trailing slash)
    • DEPLOY_SECRETS_DIRabsolute path on the runner machine to the folder containing database.staging.env and backend.staging.env
    • Optional: STAGING_HTTP_PORT (defaults to 8088)
  • Repository → Actions → Secrets:

    • REGISTRY_USERNAME
    • REGISTRY_PASSWORD — access token with package read/write (or equivalent)

Trigger: push to main or master, or run the workflow manually (workflow_dispatch).

The pipeline clones from your Gitea instance, builds and pushes backend/frontend images, then on the runner runs docker compose pull and up -d using infrastructure/docker-compose.registry.yml.


Path Role
backend/Dockerfile API image
frontend/Dockerfile Web image
infrastructure/docker-compose.registry.yml Pull-only staging stack (registry images + nginx + postgres)
infrastructure/deploy.registry.env.example Template for deploy.registry.env
Description
The whole dockerized structure of the project repo
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