A follow-up review of the previous fix caught that M1's DAYBOOK_HOST_DATA_DIR override wasn't carried through to the backup step or checklist - both still hardcoded deploy/data. Exactly when the override matters (a host with a separate/larger volume), the backup would silently tar the wrong directory while the checklist still read as complete. Backup and checklist now derive the path from deploy/.env instead of restating it. Also documents in docker-compose.yml why the .env interpolation only resolves correctly when invoked as `docker compose -f deploy/docker-compose.yml`, per a non-blocking note from the same review. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Cloud Deployment Runbook For A Dedicated Deploy Agent
This document is written for an autonomous AI agent responsible for deploying and operating Daybook on a cloud VM, without a human walking through each step. Follow it in order. Where a decision depends on information you don't have (VM IP, domain, whether TLS is required), ask the operator once, then proceed autonomously for routine redeploys.
For background on the app itself and the general (human-facing) version of
this workflow, see docs/deployment.md. This file is the operational SOP;
that one is the reference.
Source Of Truth
The canonical source is a private Forgejo repository:
https://git.cygnus.systems/peter/daybook.git
Do not deploy from a copied/rsynced tree. Always deploy from a git clone of
this repository so git pull is available for fast redeploys.
0. Get Repo Access
You need read access to a private repo. Prefer a repo-scoped SSH deploy key over a personal access token — it can only read this one repo, unlike a token tied to a full user account.
- Generate an SSH key pair on the VM (or ask the operator for one to install):
ssh-keygen -t ed25519 -C "daybook-deploy-agent" -f ~/.ssh/daybook_deploy -N "" - Ask the operator to add the public key (
~/.ssh/daybook_deploy.pub) as a Deploy Key on the repo in Forgejo (repo → Settings → Deploy Keys → read-only is sufficient), or hand it to them directly — never ask them to give you their personal account credentials. - Configure SSH to use it for this host. Note: this Forgejo's git-SSH
listens on port
2222, not the default22(chosen so it doesn't clash with the box's own systemsshd) — connecting on22hits system SSH instead and will fail or hang, not just warn. Don't assume22even if this changes again later; confirm with the operator if unsure.cat >> ~/.ssh/config <<'EOF' Host git.cygnus.systems Port 2222 IdentityFile ~/.ssh/daybook_deploy IdentitiesOnly yes EOF - Verify:
If you'd rather not rely onssh -T git@git.cygnus.systems~/.ssh/config, clone with the port explicit instead:ssh://git@git.cygnus.systems:2222/peter/daybook.git.
If SSH access can't be arranged, fall back to an HTTPS access token the
operator generates (Forgejo → user Settings → Applications → Generate New
Token, read-only repo scope) and clone with:
git clone https://<username>:<token>@git.cygnus.systems/peter/daybook.git /opt/daybook
1. Prerequisites On The VM
Confirm before proceeding; install if missing:
docker --version || curl -fsSL https://get.docker.com | sh
docker compose version
git --version
Confirm outbound network access to pull the Python base image and packages,
and confirm you know the VM's public IP or DNS name — you'll need it for
DJANGO_ALLOWED_HOSTS and for reporting the final URL back.
2. Clone
sudo mkdir -p /opt/daybook
sudo chown "$USER:$USER" /opt/daybook
git clone git@git.cygnus.systems:peter/daybook.git /opt/daybook
cd /opt/daybook
3. Configure Environment
cp deploy/env.example deploy/.env
Generate a real secret key — do not deploy with the placeholder:
python3 -c "import secrets; print('DJANGO_SECRET_KEY=' + secrets.token_urlsafe(50))"
Edit deploy/.env:
DJANGO_DEBUG=0
DJANGO_SECRET_KEY=<generated-secret>
DJANGO_ALLOWED_HOSTS=<vm-public-ip>,<domain-if-any>,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 set — Daybook issues a personal token per
user from Settings → Account once a user exists (step 5). Never commit
deploy/.env; it is already gitignored.
deploy/.env will be read and written by whatever agent runs this runbook.
Treat it as low-stakes: it should never hold anything more sensitive than
this app's own DJANGO_SECRET_KEY. If the target host has its own
documented convention for secrets (e.g. composed by reference at execution
time rather than written to a file), follow that instead — ask the operator
if unsure which applies here.
4. Network Access
If this VM is reachable from the public internet, a reverse proxy with TLS in front of Daybook is not optional — it's the only path. Bearer tokens are this app's entire write-auth model, and they'd otherwise go over plaintext HTTP straight to a port on the public IP. Direct port exposure (below) is only for private/VPN-only networks with no public exposure.
- Internet-facing (the common case): set
DAYBOOK_BIND_ADDR=127.0.0.1indeploy/.envso the container port is not reachable from outside the VM at all, then open80/443in the VM's firewall/security group for the reverse proxy (see §8). Do not open8000externally. - Private/VPN-only network: open TCP
8000to the addresses that should reach it (never0.0.0.0/0), and leaveDAYBOOK_BIND_ADDRunset.
Before opening any port, check whether one is already open and in use —
ss -tlnp | grep -E ':80|:443|:8000' — rather than assuming a clean slate.
Firewall/security-group configuration is provider-specific (AWS security
group, GCP firewall rule, DigitalOcean cloud firewall, or the VM's own
ufw/iptables). Ask the operator which provider/console to use if you
don't have API access to it yourself.
5. Build, Start, Create A User
If the target has a separate, larger data volume than its main disk (common
on space-constrained VMs), point Daybook's persistent data at it before
starting: set DAYBOOK_HOST_DATA_DIR=/path/on/that/volume in deploy/.env.
Ask the operator whether such a volume exists and where before defaulting to
the main disk — filling the main disk on a host running other services is a
bigger problem than it would be on a dedicated box. Create that same path
(the one you just set in deploy/.env, or deploy/data if you left it
unset) before starting the stack:
mkdir -p deploy/data # or the DAYBOOK_HOST_DATA_DIR path if you set one above
docker compose -f deploy/docker-compose.yml up -d --build
docker compose -f deploy/docker-compose.yml exec daybook python manage.py createsuperuser
The entrypoint runs migrations and collects static files automatically on every start.
6. Verify
docker compose -f deploy/docker-compose.yml ps
curl -fsS http://127.0.0.1:8000/api/capabilities
A 403 with "Login or a valid API token is required" is the expected
response when unauthenticated — it confirms the app is up. This curl runs
against 127.0.0.1 from on the VM itself, so it works regardless of whether
DAYBOOK_BIND_ADDR is set. Log in from a browser at whichever address is
actually externally reachable at this point in the runbook — http://<vm-ip>:8000/
if you're on the private/VPN-only path from §4, or https://<domain>/ through
the reverse proxy once §8 is done if you're on the internet-facing path — with
the superuser from step 5, grab a personal token from Settings → Account, then
smoke-test a post:
curl -fsS -X POST http://127.0.0.1:8000/api/artifacts \
-H "Authorization: Bearer <token-from-settings>" \
-H "Content-Type: application/json" \
-d '{"source": "deploy-agent", "kind": "markdown", "title": "Deployment Smoke Test", "content": "# OK\n\nDeployed successfully."}'
Confirm the response includes id, url, and api_url, and that opening
url in a browser renders the artifact.
7. Redeploy Loop (routine updates)
This is the command you run every time you're asked to ship a new version:
cd /opt/daybook
PREV_SHA=$(git rev-parse HEAD)
git pull
docker compose -f deploy/docker-compose.yml up -d --build
Then repeat the verification in step 6 (capabilities check at minimum). If it fails:
git checkout "$PREV_SHA"
docker compose -f deploy/docker-compose.yml up -d --build
to roll back, then report the failure (build log / migration error / failed health check) back to the operator rather than retrying blindly.
deploy/.env and the data directory (wherever DAYBOOK_HOST_DATA_DIR points,
or deploy/data by default) are untracked, so git pull never touches them —
no need to back them up before a routine redeploy.
8. Hardening For Internet-Facing Deployments
If this VM is reachable from the public internet (not just a private network/VPN), do this before calling the deployment done:
- Put a reverse proxy in front with TLS. Bearer tokens go over plaintext HTTP otherwise.
- Add the proxy's public hostname to
DJANGO_ALLOWED_HOSTS. - Keep
DJANGO_DEBUG=0(already set above). - Restrict SSH to key-based auth only; disable password login if you have access to do so.
- Confirm the VM's firewall only allows the ports actually needed (80/443, and SSH from wherever the operator connects from).
Check for an existing reverse proxy before introducing a new one —
ss -tlnp | grep -E ':80|:443'. A VM already running other services almost
always already has one (Apache, Nginx, Traefik) terminating TLS for
everything on it; a second process trying to bind 80/443 will just fail to
start, and stopping the existing proxy to "free the port" would take every
other service on the box down with it. If one exists, add a vhost to it
instead. Apache example:
<VirtualHost *:443>
ServerName daybook.example.com
ProxyPreserveHost On
ProxyPass / http://127.0.0.1:8000/
ProxyPassReverse / http://127.0.0.1:8000/
SSLEngine on
SSLCertificateFile /etc/letsencrypt/live/daybook.example.com/fullchain.pem
SSLCertificateKeyFile /etc/letsencrypt/live/daybook.example.com/privkey.pem
</VirtualHost>
(certbot --apache will provision and wire up the certificate for you.)
Only reach for a standalone proxy like Caddy if the target genuinely has nothing on 80/443 yet:
daybook.example.com {
reverse_proxy 127.0.0.1:8000
}
9. Backup
If you set DAYBOOK_HOST_DATA_DIR in step 5, the real data lives there, not
at deploy/data — back up whichever path is actually configured, read
straight from deploy/.env rather than assumed, so this keeps working
whether or not that override is set:
cd /opt/daybook
DATA_DIR="$(grep -oP '(?<=^DAYBOOK_HOST_DATA_DIR=).*' deploy/.env || echo deploy/data)"
tar -czf "/tmp/daybook-data-$(date +%Y%m%d-%H%M%S).tar.gz" -C "$(dirname "$DATA_DIR")" "$(basename "$DATA_DIR")"
Copy the resulting archive off the VM (to object storage, the operator's machine, etc.) — a backup that only exists on the VM it's protecting against doesn't help if the VM is lost.
Deployment Checklist
Before reporting the deployment complete, confirm all of these:
- Cloned via git (not copied), with a working
git pull. deploy/.envhas a real, non-placeholderDJANGO_SECRET_KEY.DJANGO_ALLOWED_HOSTSincludes the actual hostname/IP being used.docker compose -f deploy/docker-compose.yml psshowsdaybookhealthy./api/capabilitiesreturns403unauthenticated,200with a token.- At least one superuser exists with a working personal API token.
- A smoke-test artifact posts and renders successfully.
- If internet-facing: TLS is in front of the app, not raw HTTP on
8000. - A backup of the data directory (
deploy/data, orDAYBOOK_HOST_DATA_DIRif you set it) has been taken and copied off the VM. - If the target host has its own service-inventory, monitoring, or changelog conventions for new services, they've been followed — ask the operator if unsure what those are.
Report back to the operator: the app URL, confirmation of the checklist above, and the deploy SSH key fingerprint or token identity used (not the key/token itself) for their records.