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README
======
Quick notes for running this repository (development & observability)
Running locally (development)
- Use the included compose files. To run the dev stack (overrides) set `COMPOSE_ENV=dev` so the correct env file is loaded:
```sh
# run nginx on non-privileged ports (see .env.dev)
COMPOSE_ENV=dev docker compose -f docker/docker-compose.prod.yml -f docker/docker-compose.dev.yml up -d --build
```
Background task workers (automatic)
- The compose stack now includes a dedicated `worker` service which runs:
```sh
python manage.py db_worker
```
- This means workers start automatically with `docker compose up` and restart on failure.
- To inspect worker logs:
```sh
docker compose logs -f worker
```
- To scale workers (for higher throughput):
```sh
docker compose up -d --scale worker=2
```
Troubleshooting `SIGKILL` when running manually
- A `SIGKILL` on `db_worker` is usually the kernel OOM killer (out-of-memory), not a Django exception.
- Check kernel OOM events:
```sh
dmesg -T | grep -i -E "killed process|out of memory|oom"
```
- If OOM is confirmed, prefer running worker inside compose (managed restart + container limits), reduce concurrency/parallel services, or add memory/swap.
Manual worker startup (non-Docker production)
- If you are not yet running production in Docker, start the worker using the restart wrapper script:
```sh
source .venv/bin/activate
DJANGO_SETTINGS_MODULE=rad.settings ./scripts/run-db-worker.sh
```
- This script restarts `db_worker` if it exits unexpectedly.
- To run it in the background and keep logs:
```sh
nohup env DJANGO_SETTINGS_MODULE=rad.settings ./scripts/run-db-worker.sh > logs/db_worker.log 2>&1 &
```
- In fish shell, follow with `disown` so the shell does not keep the job attached:
```sh
nohup env DJANGO_SETTINGS_MODULE=rad.settings ./scripts/run-db-worker.sh > logs/db_worker.log 2>&1 &
disown
```
- For server reliability, prefer running the same script under `systemd` (auto-start on reboot, restart-on-failure).
- A starter unit file is provided at `scripts/db-worker.service.example`.
- To verify it is still running:
```sh
ps aux | grep "manage.py db_worker" | grep -v grep
tail -f logs/db_worker.log
```
- By default the development nginx ports are set in `.env.dev` to avoid colliding with a host nginx. The defaults now are:
- `NGINX_HTTP_PORT=8080`
- `NGINX_HTTPS_PORT=8444`
Logging & observability (Loki + Promtail + Grafana)
- Promtail is configured to scrape `/var/log/rad/*.log` and push to Loki. Promtail's config is at `docker/promtail-config.yml` and the Loki config is at `docker/loki-config/local-config.yaml`.
- The nginx configs (both `deploy/nginx/prod.conf` and `deploy/nginx/dev.conf`) are configured to write access and error logs to `/var/log/rad/nginx.access.log` and `/var/log/rad/nginx.error.log` respectively.
- The compose files mount a host `logs/` folder into `/var/log/rad` so both nginx (write) and promtail (read) can access the same files:
- `../logs:/var/log/rad:rw` (nginx)
- `../logs:/var/log/rad:ro` (promtail)
Host setup for logs
- Create the host logs folder at the repo root (this repo's `logs/`). In development you can use permissive permissions so containers can write to it quickly:
```sh
mkdir -p logs
# development: make writable by all (change this for production)
sudo chown $USER:$USER logs
chmod 0777 logs
```
- In production prefer setting the folder owner to the nginx worker UID (or run nginx under a specific user) and use `0755` or `0750` as appropriate. Example:
```sh
# run on the host (determine nginx UID as needed)
sudo chown -R 101:101 /srv/rad/logs
sudo chmod 0755 /srv/rad/logs
```
Viewing logs in Grafana
- Grafana is available on the port exposed by compose (default `3000`).
- The Loki datasource is configured to use `http://loki:3100` (see compose). In Grafana Explore choose the Loki datasource and run queries such as:
- `{job="rad_app"}` (all collected logs)
- `{job="rad_app", filename="/var/log/rad/nginx.access.log"}`
Notes & recommendations
- In development the `logs/` folder is ignored by git (`/.gitignore` updated). Do not commit runtime logs.
- Consider a log rotation/retention policy for production (e.g., `logrotate` or use Loki retention policies).
- If you need nginx to re-resolve the backend service IP without restarting, consider using `resolver` and variable-based upstreams in the nginx config. For many development workflows restarting nginx after web restarts is the simplest approach.
If you want, I can also add a short `docs/OBSERVABILITY.md` with more details and recommended production settings (TLS/auth for Loki, retention, log rotation).