daybook/docs/deployment.md

# Deployment

Daybook deploys the same way on any Linux host with Docker: a cloud VM, a home
server, a Proxmox guest, whatever. It runs as a single Docker container
(Gunicorn) with all persistent state — the SQLite database and artifact files —
on a bind-mounted `./data` directory outside the image.

```text
Target host (cloud VM, home server, ...)
  Docker Engine
    daybook container
      /app     application code baked into the image
      /data    persistent volume: db.sqlite3, artifacts_store/
```

## Files In `deploy/`

| File | Purpose |
|---|---|
| `Dockerfile` | Builds the Daybook image. |
| `docker-compose.yml` | Runs Daybook with a persistent `./data:/data` bind mount. |
| `entrypoint.sh` | Runs migrations, collects static files, then starts Gunicorn. |
| `env.example` | Template for deployment environment variables. |

## Prerequisites On The Target Host

- Docker Engine + the Docker Compose plugin
- Git (for the clone-and-pull workflow below)

```bash
docker --version
docker compose version
```

## First-Time Setup

Clone the repo onto the host at a stable path:

```bash
git clone <REPO_URL> /opt/daybook
cd /opt/daybook
```

Create the environment file:

```bash
cp deploy/env.example deploy/.env
```

Generate a secret key:

```bash
python3 -c "import secrets; print('DJANGO_SECRET_KEY=' + secrets.token_urlsafe(50))"
```

Edit `deploy/.env` and set at minimum:

```text
DJANGO_DEBUG=0
DJANGO_SECRET_KEY=<generated-secret>
DJANGO_ALLOWED_HOSTS=<vm-ip-or-dns-name>,localhost,127.0.0.1
DAYBOOK_DATA_DIR=/data
DATABASE_PATH=/data/db.sqlite3
ARTIFACTS_ROOT=/data/artifacts_store
```

There is no shared API token to configure — Daybook uses per-user tokens
(DRF `Token` model) issued from Settings → Account once a user exists. Do not
commit `deploy/.env`.

Create the persistent data directory and bring the stack up:

```bash
mkdir -p deploy/data
docker compose -f deploy/docker-compose.yml up -d --build
```

Create your first login (superuser) so you have something to log in with and
a personal API token to post through:

```bash
docker compose -f deploy/docker-compose.yml exec daybook python manage.py createsuperuser
```

## Verify Deployment

```bash
docker compose -f deploy/docker-compose.yml ps
curl -fsS http://127.0.0.1:8000/api/capabilities
```

An unauthenticated capabilities check returns 403 (login/token required) —
that's expected; it confirms the app is up and enforcing auth. Open
`http://<vm-ip>:8000/` in a browser and log in with the superuser you just
created, then grab a personal token from Settings → Account and use it for a
smoke-test post:

```bash
curl -fsS -X POST http://127.0.0.1:8000/api/artifacts \
  -H "Authorization: Bearer <your-personal-token>" \
  -H "Content-Type: application/json" \
  -d '{
    "source": "deploy-smoke",
    "kind": "markdown",
    "title": "Deployment Smoke Test",
    "content": "# Deployment Smoke Test\n\nDaybook accepted an artifact."
  }'
```

## Fast Redeploys

Once the host has a git clone, shipping a new version is two commands:

```bash
cd /opt/daybook
git pull
docker compose -f deploy/docker-compose.yml up -d --build
```

The entrypoint runs Django migrations on every start, so schema changes are
picked up automatically. `deploy/.env` and `deploy/data/` are untouched by
`git pull` since they aren't tracked in the repo.

## Operational Commands

```bash
docker compose -f deploy/docker-compose.yml logs -f daybook
docker compose -f deploy/docker-compose.yml restart daybook
docker compose -f deploy/docker-compose.yml down
docker compose -f deploy/docker-compose.yml up -d
docker compose -f deploy/docker-compose.yml exec daybook python manage.py check
docker compose -f deploy/docker-compose.yml exec daybook sh
```

## Backup And Restore

Back up `deploy/data/` — it contains the SQLite database and all artifact
files:

```bash
tar -czf daybook-data-$(date +%Y%m%d-%H%M%S).tar.gz -C /opt/daybook/deploy data
```

For a consistent snapshot during heavy writes, stop the container first:

```bash
docker compose -f deploy/docker-compose.yml down
tar -czf daybook-data-$(date +%Y%m%d-%H%M%S).tar.gz -C /opt/daybook/deploy data
docker compose -f deploy/docker-compose.yml up -d
```

To restore: stop Daybook, replace `deploy/data/` with the backup contents,
then start it again.

## Reverse Proxy Notes

If putting Daybook behind Nginx, Caddy, Traefik, or a cloud load balancer:

- Proxy to `http://<vm-ip>:8000`.
- Add the public hostname to `DJANGO_ALLOWED_HOSTS`.
- Terminate TLS at the proxy; keep `DJANGO_DEBUG=0`.

```text
DJANGO_ALLOWED_HOSTS=daybook.example.com,localhost,127.0.0.1
```

## Deployment Checklist

- `deploy/.env` exists with a real (non-placeholder) `DJANGO_SECRET_KEY`.
- `DJANGO_DEBUG=0`.
- `DJANGO_ALLOWED_HOSTS` includes the hostname/IP being used.
- `deploy/data/` exists and persists across `git pull` + rebuild.
- `docker compose -f deploy/docker-compose.yml ps` shows `daybook` healthy.
- `curl -fsS http://127.0.0.1:8000/api/capabilities` returns 403 without auth,
  200 with a valid token or session.
- At least one superuser exists (`manage.py createsuperuser`) with a token
  from Settings → Account.

## Known MVP Constraints

- SQLite is used by default — fine for a single-VM self-hosted deployment.
- Per-user ingest tokens; no shared/global token.
- Reader/browser access requires login; feeds are private per user.
- Manual drag/drop upload and content revisions are deferred.