The extraction model emits intents, never resolved values — no FDI codes, no ISO dates. This adds the contract it must satisfy and the resolver that turns spoken tooth references into FDI, so quadrant mirroring is a unit test rather than a hope. resolveToothIntent never guesses and never clamps: position 9, a deciduous tooth, or a malformed shape resolve to null and are reported as unresolved with the transcript span that produced them, so the review sheet can show the clinician exactly which words were not understood. Everything here parses untrusted model output, so nothing may throw: - a non-array where a list was expected degrades like any other malformed shape - explicit codes are trimmed, for parity with normalizeTeeth - '51' reports as not_permanent_tooth (a real primary tooth the chart cannot show) while '99' reports as malformed — the clinician should not be told a deciduous tooth was heard when nothing tooth-shaped was - unresolved items only dedupe when they carry a spoken span; without one, collapsing them would hide a lost tooth behind a single blank review row Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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
-
Install Docker and Docker Compose on the server.
-
Run Gitea with the container registry enabled (same host/port you use for
docker login, e.g.178.131.50.201:3000). -
Copy the repo (or deploy only
infrastructure/+ secrets). You need at least:infrastructure/docker-compose.registry.ymlinfrastructure/nginx/configs referenced by that compose fileinfrastructure/database/init.sqlif used by your Postgres service
-
Secrets on the server (never commit real values):
- Copy
infrastructure/database.staging.env.example→database.staging.env(Postgres user/password/db). - Copy
infrastructure/backend.staging.env.example→backend.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/.
- Copy
-
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-registrieson 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/:
-
Create
deploy.registry.env(seeinfrastructure/deploy.registry.env.example):REGISTRY_PREFIX=<host>:<port>/<owner>(nohttp://, no trailing slash)IMAGE_TAG=latestor the tag you pushedSTAGING_HTTP_PORT=<host port>(e.g.8088— browser useshttp://<ip>:8088)
-
Set
DEPLOY_SECRETS_DIRto the absolute path of the folder containingdatabase.staging.envandbackend.staging.env(you can export it in the shell or add it todeploy.registry.envif your Compose setup expects it). -
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). Gitea’s runner was failing with
execvpe(/bin/bash) failedwhen Bash was routed through WSL without a real/bin/bash. If your runner is Linux, switch.gitea/workflows/registry-build-deploy.ymltodefaults.run.shell: bashand use Bash syntax instead. -
Repository → Actions → Variables (examples):
REGISTRY_HOST— e.g.178.131.50.201:3000REGISTRY_OWNER— image namespace (same as Docker image path after the host), e.g.adminPUBLIC_BASE_URL— URL users open in the browser, e.g.http://178.131.50.201:8088(no trailing slash)DEPLOY_SECRETS_DIR— absolute path on the runner machine to the folder containingdatabase.staging.envandbackend.staging.env- Optional:
STAGING_HTTP_PORT(defaults to8088)
-
Repository → Actions → Secrets:
REGISTRY_USERNAMEREGISTRY_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.
Related paths
| 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 |