feat(deploy): aibook.fun deploy layer (terraform + ansible + docker on DO)

This commit is contained in:
dilonne
2026-09-02 10:57:09 +02:00
parent 89a3d76122
commit 8ef06cb3e7
21 changed files with 1106 additions and 0 deletions
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# aibook-fun — CI/CD: build the Next.js marketing site, push to reg.mini.dev,
# pin the image ref in Infisical, then trigger a pull + bounce on the droplet.
#
# Runs on Gitea Actions (GitHub-compatible syntax). This repo has Actions
# enabled; the runner must be labeled `ubuntu-latest`.
#
# Repository secrets required (Settings → Actions → Secrets):
# MINIMUS_TOKEN reg.mini.dev registry token (u: minimus)
# INFISICAL_CLIENT_ID Infisical Machine Identity Client ID
# INFISICAL_CLIENT_SECRET Infisical Machine Identity Client Secret
# INFISICAL_PROJECT_ID the /AIBook-Fun project ID
# DROPLET_IP droplet reserved IP (or resolve via DNS)
# DROPLET_SSH_KEY private SSH key for root@ on the droplet
#
# NOTE: first provision is NOT done here — it's terraform + ansible converge
# (deploy/docker-compose/terraform + ansible/deploy.yml). This workflow handles
# everything after the site exists: every main-branch push to app/deploy code
# rebuilds and rolls forward idempotently.
name: deploy
on:
push:
branches: [main]
paths:
- 'marketing-site/**'
- 'deploy/**'
- '.gitea/workflows/**'
workflow_dispatch:
permissions:
contents: read
concurrency:
group: aibook-fun-deploy
cancel-in-progress: false
env:
REGISTRY: reg.mini.dev
IMAGE_REPO: weownai/aibook-fun-marketing
INFISICAL_ENV: prod
INFISICAL_PATH: /AIBook-Fun
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build image
run: |
docker build \
--pull \
-f deploy/docker-compose/docker/Dockerfile \
-t "${{ env.REGISTRY }}/${{ env.IMAGE_REPO }}:${{ github.sha }}" \
-t "${{ env.REGISTRY }}/${{ env.IMAGE_REPO }}:latest" \
marketing-site/
- name: Login to reg.mini.dev
run: echo "${{ secrets.MINIMUS_TOKEN }}" | docker login "${{ env.REGISTRY }}" -u minimus --password-stdin
- name: Push image
run: |
docker push "${{ env.REGISTRY }}/${{ env.IMAGE_REPO }}:${{ github.sha }}"
docker push "${{ env.REGISTRY }}/${{ env.IMAGE_REPO }}:latest"
- name: Pin AIBOOK_IMAGE in Infisical
env:
INFISICAL_UNIVERSAL_AUTH_CLIENT_ID: ${{ secrets.INFISICAL_CLIENT_ID }}
INFISICAL_UNIVERSAL_AUTH_CLIENT_SECRET: ${{ secrets.INFISICAL_CLIENT_SECRET }}
run: |
sudo curl -1sLf 'https://artifacts-cli.infisical.com/setup.deb.sh' | sudo -E bash
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y -qq infisical >/dev/null
export INFISICAL_TOKEN="$(infisical login --method=universal-auth --plain --silent)"
infisical secrets set \
AIBOOK_IMAGE="${{ env.REGISTRY }}/${{ env.IMAGE_REPO }}:${{ github.sha }}" \
--projectId="${{ secrets.INFISICAL_PROJECT_ID }}" \
--env="${{ env.INFISICAL_ENV }}" \
--path="${{ env.INFISICAL_PATH }}"
- name: Deploy to droplet (pull + up)
uses: appleboy/ssh-action@v1
with:
host: ${{ secrets.DROPLET_IP }}
username: root
key: ${{ secrets.DROPLET_SSH_KEY }}
command_timeout: "15m"
script: |
set -euo pipefail
cd /opt/aibook_fun
# Droplet-side Infisical auth (auth file written by cloud-init).
source .infisical-auth.env
export INFISICAL_UNIVERSAL_AUTH_CLIENT_ID="$INFISICAL_CLIENT_ID"
export INFISICAL_UNIVERSAL_AUTH_CLIENT_SECRET="$INFISICAL_CLIENT_SECRET"
export INFISICAL_TOKEN="$(infisical login --method=universal-auth --plain --silent)"
# Re-auth reg.mini.dev if the docker login from ansible has lapsed.
MINIMUS_TOKEN="$(infisical secrets get MINIMUS_TOKEN --projectId="$INFISICAL_PROJECT_ID" --env=prod --path=/AIBook-Fun --plain || true)"
if [ -n "${MINIMUS_TOKEN:-}" ]; then
printf '%s' "$MINIMUS_TOKEN" | docker login reg.mini.dev -u minimus --password-stdin
fi
# AIBOOK_IMAGE is injected by `infisical run`; also export it so the
# ${AIBOOK_IMAGE:?} compose ref resolves even without run-injection.
export AIBOOK_IMAGE="$(infisical secrets get AIBOOK_IMAGE --projectId="$INFISICAL_PROJECT_ID" --env=prod --path=/AIBook-Fun --plain)"
infisical run --projectId="$INFISICAL_PROJECT_ID" --env=prod --path=/AIBook-Fun \
-- docker compose up -d --remove-orphans
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# aibook-fun deploy — gitignore
# ⚠️ CRITICAL: Never commit credentials or state files
# =============================================================================
# Terraform / OpenTofu State (CRITICAL - contains infrastructure details)
# =============================================================================
*.tfstate
*.tfstate.*
*.tfstate.backup
.terraform/
# NOTE: .terraform.lock.hcl is NOT ignored — commit it so provider versions
# are reproducible across machines/CI runs.
# Terraform variable files with real values
terraform.tfvars
terraform.tfvars.json
*.auto.tfvars
*.auto.tfvars.json
# Terraform crash logs
crash.log
crash.*.log
# =============================================================================
# Environment Files (CRITICAL - contains passwords)
# =============================================================================
.env
.env.prod
.env.local
.env.*.local
# =============================================================================
# Backups (may contain sensitive data)
# =============================================================================
backups/
*.tar.gz
*.sql
*.sql.gz
# =============================================================================
# Logs
# =============================================================================
logs/
*.log
# =============================================================================
# OS & Editor
# =============================================================================
.DS_Store
.DS_Store?
._*
Thumbs.db
*.swp
*.swo
*~
.idea/
.vscode/
*.code-workspace
# =============================================================================
# Docker
# =============================================================================
docker-compose.override.yml
docker-compose.override.yaml
# =============================================================================
# Ansible
# =============================================================================
*.retry
.vault-pass
# OpenTofu saved plans (sensitive) — never commit
*.tfplan
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# Deploy
Provisions a DO droplet + reserved IP + firewall + monitoring, builds the
Next.js image locally on the droplet, runs it behind Caddy.
## Deploy from scratch
```bash
cd terraform
infisical login
export INFISICAL_PROJECT_ID=<aibook-fun-project-id>
./itofu.sh init && ./itofu.sh plan && ./itofu.sh apply
./itofu.sh output -raw droplet_ip
# add Cloudflare A record: aibook.fun → <that-ip>
cd ..
ansible-playbook -i 'root@<that-ip>,' ansible/deploy.yml
```
## Structure
- `terraform/` — droplet + IP + firewall + monitoring
- `docker/` — Dockerfile + compose + Caddy
- `ansible/` — droplet convergence
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# Ansible settings for deploying aibook-fun.
#
# The whole point of this file is SSH connection reuse. On a workstation whose
# SSH key lives in a hardware-backed agent (Secretive, a YubiKey, the Secure
# Enclave), every *new* TCP connection needs a fresh signature — which means a
# Touch ID prompt. Ansible opens many connections per run and does so
# non-interactively, so those prompts cannot be answered and the run dies with:
#
# sign_and_send_pubkey: signing failed ... agent refused operation
#
# Ansible's own defaults make this worse in two ways, both fixed below:
#
# 1. It keeps control sockets in ~/.ansible/cp, separate from the ones the
# operator's own `ssh` has already authenticated. Pointing it at the same
# directory and the same %C naming as OpenSSH means ansible *reuses* a
# master connection the operator authorised earlier — no new signature.
# 2. ControlPersist defaults to 60s, so a master closes between steps of a
# deploy and the next one needs another signature.
#
# Together: authenticate once at the start of a work session, then deploy
# repeatedly without touching the key again.
[defaults]
host_key_checking = True
interpreter_python = auto_silent
[ssh_connection]
# Match OpenSSH's own ControlPath so ansible shares the operator's masters.
# %%C is escaped for configparser — ssh receives %C (a hash of local host,
# remote host, port and user), exactly what ~/.ssh/config uses.
control_path_dir = ~/.ssh/sockets
control_path = %(directory)s/%%C
ssh_args = -C -o ControlMaster=auto -o ControlPersist=4h
pipelining = True
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---
# Usage: ansible-playbook -i 'root@<droplet-ip>,' deploy/ansible/deploy.yml
# Pre: droplet cloud-init complete (.bootstrap-complete marker present)
- name: Deploy aibook-fun app layer
hosts: all
gather_facts: false
become: true
vars:
app_dir: /opt/aibook_fun
repo_dir: /opt/aibook_fun/repo
repo_url: "https://git.weown.tools/WeOwnAI/aibook-fun.git"
repo_branch: main
image_tag: "aibook-fun-marketing:v1"
pre_tasks:
- name: Verify droplet has completed cloud-init bootstrap
ansible.builtin.stat:
path: "{{ app_dir }}/.bootstrap-complete"
register: bootstrap_marker
- name: Fail clearly if bootstrap is not complete
ansible.builtin.fail:
msg: >-
{{ app_dir }}/.bootstrap-complete is missing — droplet has not
finished cloud-init. Wait a few minutes after `tofu apply` and retry.
Check /var/log/cloud-init-output.log on the droplet.
when: not bootstrap_marker.stat.exists
- name: Ensure app dir exists
ansible.builtin.file:
path: "{{ app_dir }}"
state: directory
owner: root
group: root
mode: "0755"
tasks:
# ─── Clone / update repo on droplet ────────────────────────────────────
- name: Clone (or update) aibook-fun repo on droplet
ansible.builtin.git:
repo: "{{ repo_url }}"
dest: "{{ repo_dir }}"
version: "{{ repo_branch }}"
force: true
register: git_clone
notify: Rebuild image
# ─── Upload Dockerfile (deploy/ scaffold not yet pushed to git.weown.tools) ─
- name: Upload Dockerfile to droplet
ansible.builtin.copy:
src: ../docker/Dockerfile
dest: "{{ app_dir }}/Dockerfile"
owner: root
group: root
mode: "0644"
# ─── Build docker image locally on droplet (unconditional — docker layer cache handles no-ops) ─
- name: Build Next.js docker image locally
ansible.builtin.shell: |
set -euo pipefail
docker build -t {{ image_tag }} -f {{ app_dir }}/Dockerfile {{ repo_dir }}/marketing-site/
args:
executable: /bin/bash
register: image_build
changed_when: "'writing image' in image_build.stderr"
notify: Reconcile docker compose stack
# ─── Upload compose + Caddyfile ────────────────────────────────────────
- name: Upload compose.yaml
ansible.builtin.copy:
src: ../docker/compose.prod.yaml
dest: "{{ app_dir }}/compose.yaml"
owner: root
group: root
mode: "0644"
notify: Reconcile docker compose stack
- name: Upload Caddyfile
ansible.builtin.copy:
src: ../docker/Caddyfile
dest: "{{ app_dir }}/Caddyfile"
owner: root
group: root
mode: "0644"
notify: Reconcile docker compose stack
- name: Ensure caddy log dir is writable
ansible.builtin.file:
path: /var/log/caddy
state: directory
owner: root
group: root
mode: "0777"
- name: Ensure Caddy Docker volumes are writable (caddy runs as UID 1000)
ansible.builtin.shell: |
set -euo pipefail
for suffix in caddy_data caddy_config; do
path="/var/lib/docker/volumes/aibook_fun_${suffix}/_data"
if [ -d "$path" ]; then
chown -R 1000:1000 "$path"
fi
done
args:
executable: /bin/bash
changed_when: false
# ─── Ensure compose stack is running (idempotent) ──────────────────────
- name: Ensure compose stack is running (idempotent — `up -d` no-op if unchanged)
ansible.builtin.shell: |
set -euo pipefail
cd {{ app_dir }}
docker compose up -d --remove-orphans
args:
executable: /bin/bash
register: compose_up
changed_when: "'Started' in compose_up.stderr or 'Created' in compose_up.stderr or 'Recreated' in compose_up.stderr"
- name: Wait for web app to respond
ansible.builtin.uri:
url: http://127.0.0.1:3000/
status_code: [200]
register: health_probe
retries: 20
delay: 5
until: health_probe.status == 200
- name: Report success
ansible.builtin.debug:
msg: "aibook-fun app layer deployed. URL: https://aibook.fun"
handlers:
- name: Rebuild image
ansible.builtin.shell: |
set -euo pipefail
cd {{ repo_dir }}
docker build -t {{ image_tag }} -f {{ repo_dir }}/deploy/docker/Dockerfile {{ repo_dir }}/marketing-site/
args:
executable: /bin/bash
changed_when: false
- name: Reconcile docker compose stack
ansible.builtin.shell: |
set -euo pipefail
cd {{ app_dir }}
docker compose up -d --force-recreate --remove-orphans
args:
executable: /bin/bash
changed_when: false
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# aibook-fun — host hardening (CIS-aligned, Phase A)
#
# Applies the DevSec hardening baseline (≈ CIS Ubuntu L1) to the droplet:
# kernel/sysctl, auth policy, filesystem perms, SSH crypto + policy — then
# measures the result with Lynis. Idempotent; run any time after bootstrap:
#
# ansible-galaxy collection install -r ansible/requirements.yml # once
# ansible-playbook ansible/harden.yml -i 'root@<droplet-ip>,'
#
# PHASE A vs PHASE B (deliberate scope — do not "fix" this into Phase B):
# Phase A (this play): CIS L1 OS + SSH hardening with root login KEPT
# (key-only). Every fleet tool (deploy.sh, backup.sh, manage-droplets.sh)
# SSHes as root@; removing root here would break the fleet mid-flight.
# Phase B (tracked, pre-first-customer): ops-user model (root SSH off,
# password-sudo 2FA), mesh/CIDR-locked port 22 — per SOP-INFRA-012. Needs
# the fleet tooling migrated off root@ first.
#
# Docker-safe exceptions (the CIS-L2-vs-container-runtime conflicts):
# - net.ipv4.ip_forward stays 1 — Docker bridge networking requires it. A
# defaults-level override silently LOSES to the inner role's defaults;
# it must be a task-var on the include (hit live 2026-07-03: containers
# got DNS but no TCP egress when this landed at 0).
---
- name: Harden aibook-fun host (CIS L1 via devsec — Phase A)
hosts: all
become: true
vars:
run_lynis: true
tasks:
- name: "OS hardening (devsec.hardening.os_hardening ≈ CIS Ubuntu L1)"
ansible.builtin.include_role:
name: devsec.hardening.os_hardening
vars:
# MUST be task-vars here (see header) — Docker bridge needs ip_forward.
sysctl_overwrite:
net.ipv4.ip_forward: 1
- name: "SSH hardening (devsec.hardening.ssh_hardening — key-only, strong KEX/ciphers)"
ansible.builtin.include_role:
name: devsec.hardening.ssh_hardening
vars:
# Phase A: root stays (fleet tooling), but key-only and CIS crypto.
ssh_permit_root_login: "without-password"
ssh_password_authentication: false
ssh_challenge_response_authentication: false
- name: "Measure: install + run Lynis (hardening index; non-blocking)"
when: run_lynis | bool
block:
- name: "Install Lynis"
ansible.builtin.apt:
name: lynis
state: present
update_cache: true
- name: "Run Lynis audit (quick)"
ansible.builtin.command: lynis audit system --quick --no-colors
register: lynis_out
changed_when: false
failed_when: false
- name: "Lynis summary (record this index in the site CHANGELOG)"
ansible.builtin.debug:
msg: "{{ lynis_out.stdout_lines | select('search', 'Hardening index|Warnings|Suggestions|Tests performed') | list }}"
- name: "Verify Docker survived hardening (containers must still run)"
# brace-free format string: Go-template braces here would be re-templated
# by ansible's own Jinja pass and error out.
ansible.builtin.command: docker info --format json
register: docker_ok
changed_when: false
- name: "Docker status"
ansible.builtin.debug:
msg: "Docker OK (server {{ (docker_ok.stdout | from_json).ServerVersion | default('unknown') }}) — hardening did not break the runtime"
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# Ansible Galaxy requirements for the optional hardening play (harden.yml).
# Install once per operator workstation:
# ansible-galaxy collection install -r ansible/requirements.yml
collections:
# DevSec Hardening Framework — CIS/STIG-aligned os_hardening + ssh_hardening.
# https://github.com/dev-sec/ansible-collection-hardening
- name: devsec.hardening
version: ">=8.8.0"
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aibook.fun {
# AIBook.fun is a static marketing site — pure reverse proxy to the Next.js
# standalone server. No auth/headers added here beyond baseline security.
reverse_proxy web:3000
log {
# Host-bind-mounted /var/log/caddy/ so logs survive container recreation.
output file /var/log/caddy/aibook-fun.log
}
header {
# Force HTTPS for a year (HSTS — a lapsed cert is a service outage, not a
# warning; weown rail per W24 phase4 findings).
Strict-Transport-Security "max-age=31536000; includeSubDomains"
X-Content-Type-Options nosniff
X-Frame-Options SAMEORIGIN
X-XSS-Protection "1; mode=block"
Referrer-Policy strict-origin-when-cross-origin
-Server
}
}
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# syntax=docker/dockerfile:1
# aibook-fun — Next.js 16 marketing site (marketing-site/), standalone output.
#
# Build context = marketing-site/ (see .gitea/workflows/deploy.yml):
# docker build -f deploy/docker/Dockerfile -t <image> marketing-site/
#
# Multi-stage: deps → build (next build → .next/standalone) → slim non-root runner.
# Requires `output: 'standalone'` in next.config.mjs (added on this branch).
# Node 20.9+ / 22+ required by Next 16; pin 22 LTS.
FROM node:22-alpine AS deps
WORKDIR /app
# Lockfiles first for layer caching.
COPY package.json package-lock.json ./
RUN npm ci
FROM node:22-alpine AS builder
WORKDIR /app
ENV NEXT_TELEMETRY_DISABLED=1
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build
FROM node:22-alpine AS runner
WORKDIR /app
ENV NODE_ENV=production
ENV NEXT_TELEMETRY_DISABLED=1
# Next standalone ships as a single node server.js; run as non-root (uid 1001).
RUN addgroup --system --gid 1001 nodejs \
&& adduser --system --uid 1001 --ingroup nodejs nextjs
# Static assets not bundled into the standalone output.
COPY --from=builder /app/public ./public
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
USER nextjs
EXPOSE 3000
ENV PORT=3000
ENV HOSTNAME=0.0.0.0
CMD ["node", "server.js"]
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services:
web:
image: aibook-fun-marketing:v1
pull_policy: never
restart: unless-stopped
ports:
# Loopback-only: lets caddy proxy and health probes reach the app.
# Not internet-exposed; caddy handles :80/:443 → web:3000.
- "127.0.0.1:3000:3000"
networks:
- aibooknet
healthcheck:
test: ["CMD-SHELL", "curl -f -o /dev/null -w '%{http_code}' http://localhost:3000/ | grep -q '^200$' || exit 1"]
start_period: 30s
interval: 30s
timeout: 10s
retries: 5
deploy:
resources:
limits:
memory: 512M
reservations:
memory: 128M
caddy:
image: caddy:2
restart: unless-stopped
depends_on:
- web
environment:
DOMAIN: aibook.fun
ports:
- "80:80"
- "443:443"
- "443:443/udp"
volumes:
- ./Caddyfile:/etc/caddy/Caddyfile:ro
- caddy_data:/data
- caddy_config:/config
- /var/log/caddy:/var/log/caddy
networks:
- aibooknet
deploy:
resources:
limits:
memory: 256M
reservations:
memory: 128M
volumes:
caddy_data:
name: aibook_fun_caddy_data
caddy_config:
name: aibook_fun_caddy_config
networks:
aibooknet:
name: aibook_fun_net
driver: bridge
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# This file is maintained automatically by "tofu init".
# Manual edits may be lost in future updates.
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"zh:e1f2d606661435416c4d2b48db80244d0acef88a5ce81b5dcbd65ff2642b1b4d",
"zh:ea13fad19414586864557601c59e85188601e150c815ec1e71f8ed83f1942a50",
"zh:f795be71dc933aaec7145f93068da17f227783964d33a79de591a042aac7c3ca",
]
}
+25
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# aibook-fun - Terraform Backend Configuration
# State stored in DigitalOcean Spaces (S3-compatible) for team sharing, SSE-C
# encrypted at rest.
#
# Pass credentials via itofu.sh (preferred) or -backend-config flags:
# access_key / secret_key / sse_customer_key
# Backend config cannot reference Terraform variables — itofu.sh forwards them.
terraform {
backend "s3" {
endpoint = "https://atl1.digitaloceanspaces.com"
bucket = "weown-tools-state"
key = "aibook-fun/aibook-fun.tfstate"
region = "us-east-1"
encrypt = true
acl = "private"
# Required for DO Spaces (S3-compatible but not AWS)
skip_credentials_validation = true
skip_metadata_api_check = true
skip_requesting_account_id = true
skip_region_validation = true
skip_s3_checksum = true
}
}
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#!/usr/bin/env bash
# Run OpenTofu with TF_VAR_* creds injected from Infisical /tofu/.
# Usage: infisical login && INFISICAL_PROJECT_ID=<id> ./itofu.sh <init|plan|apply|...>
set -euo pipefail
INFISICAL_PROJECT_ID="${INFISICAL_PROJECT_ID:-}"
INFISICAL_ENV="${INFISICAL_ENV:-prod}"
TOFU_PATH="/tofu"
PLAN_FILE="${WEOWN_TOFU_PLAN:-plan.tfplan}"
: "${INFISICAL_PROJECT_ID:?INFISICAL_PROJECT_ID not set. Export it (e.g. from site.conf) before running itofu.sh.}"
command -v infisical >/dev/null 2>&1 || { echo "ERROR: infisical CLI not found." >&2; exit 1; }
command -v tofu >/dev/null 2>&1 || { echo "ERROR: tofu not found." >&2; exit 1; }
infisical export --projectId="$INFISICAL_PROJECT_ID" --env="$INFISICAL_ENV" --path="$TOFU_PATH" >/dev/null 2>&1 || {
echo "ERROR: cannot read $INFISICAL_PROJECT_ID $INFISICAL_ENV $TOFU_PATH — run 'infisical login' and check your access." >&2; exit 1; }
[ "$#" -ge 1 ] || { echo "usage: ./itofu.sh <init|plan|apply|output|destroy|...> [args]" >&2; exit 1; }
irun() { infisical run --projectId="$INFISICAL_PROJECT_ID" --env="$INFISICAL_ENV" --path="$TOFU_PATH" -- "$@"; }
# S3 backend reads AWS_* env on every state op — so ALL tofu calls go through trun.
# shellcheck disable=SC2016
trun() { irun bash -c 'export AWS_ACCESS_KEY_ID="$TF_VAR_spaces_access_key" AWS_SECRET_ACCESS_KEY="$TF_VAR_spaces_secret_key"; exec tofu "$@"' itofu "$@"; }
case "$1" in
init)
shift
# shellcheck disable=SC2016
irun bash -c 'export AWS_ACCESS_KEY_ID="$TF_VAR_spaces_access_key" AWS_SECRET_ACCESS_KEY="$TF_VAR_spaces_secret_key"; exec tofu init -reconfigure \
-backend-config="sse_customer_key=$TF_VAR_spaces_encryption_key" "$@"' itofu "$@"
;;
plan)
shift
trun plan -out="$PLAN_FILE" "$@"
;;
apply)
shift
if [ "$#" -eq 0 ] && [ -f "$PLAN_FILE" ]; then
set +e; trun apply "$PLAN_FILE"; rc=$?; set -e
rm -f "$PLAN_FILE"
exit "$rc"
fi
trun apply "$@"
;;
*)
trun "$@"
;;
esac
+113
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# aibook-fun - Main Infrastructure
# Managed by OpenTofu
resource "digitalocean_droplet" "web" {
name = "aibook-fun"
image = var.droplet_image
size = var.droplet_size
region = var.region
monitoring = true
backups = true
# CPU/RAM-only resize (provider default is true = also grow the disk).
resize_disk = false
ssh_keys = var.ssh_key_fingerprints
user_data = templatefile("${path.module}/templates/cloud-init.yaml", {
project_name = "aibook_fun"
})
tags = ["aibook-fun", "web", "weown-ai"]
lifecycle {
# A droplet destroy means losing every Docker volume + cert state on it.
# make any such plan a hard error instead of an accident.
prevent_destroy = true
# user_data/tags/ssh_keys are create-time-only on DO; ignore drift so
# unrelated changes don't arm `# forces replacement` on next apply.
ignore_changes = [user_data, tags, ssh_keys]
}
}
# Optional encrypted-at-rest data volume (default 0 = stateless: droplet local
# disk only). Enable by setting data_volume_size_gb > 0 if the site ever needs
# durable state; DO block storage is encrypted at rest, the droplet disk is not.
resource "digitalocean_volume" "data" {
count = var.data_volume_size_gb > 0 ? 1 : 0
region = var.region
name = "aibook-fun-data"
size = var.data_volume_size_gb
initial_filesystem_type = "ext4"
description = "aibook-fun encrypted-at-rest data (docker data-root)"
lifecycle {
prevent_destroy = true
}
}
resource "digitalocean_volume_attachment" "data" {
count = var.data_volume_size_gb > 0 ? 1 : 0
droplet_id = digitalocean_droplet.web.id
volume_id = digitalocean_volume.data[0].id
}
resource "digitalocean_reserved_ip" "web" {
region = var.region
}
resource "digitalocean_reserved_ip_assignment" "web" {
ip_address = digitalocean_reserved_ip.web.ip_address
droplet_id = digitalocean_droplet.web.id
}
#trivy:ignore:AVD-DIG-0001 # Public web server: HTTP/HTTPS inbound from internet is required by design
#trivy:ignore:AVD-DIG-0003 # Public web server: unrestricted outbound required for package installs, ACME, image pulls
resource "digitalocean_firewall" "web" {
name = "aibook-fun-fw"
droplet_ids = [digitalocean_droplet.web.id]
# SSH — restrict via var.ssh_source_cidrs. ⚠️ PRODUCTION: pin to admin IP/32 or VPN
inbound_rule {
protocol = "tcp"
port_range = "22"
source_addresses = var.ssh_source_cidrs
}
# HTTP (ACME challenge + redirect)
inbound_rule {
protocol = "tcp"
port_range = "80"
source_addresses = ["0.0.0.0/0", "::/0"]
}
# HTTPS
inbound_rule {
protocol = "tcp"
port_range = "443"
source_addresses = ["0.0.0.0/0", "::/0"]
}
# HTTPS/QUIC (HTTP/3)
inbound_rule {
protocol = "udp"
port_range = "443"
source_addresses = ["0.0.0.0/0", "::/0"]
}
# All outbound TCP (apt, ACME, container image pulls)
outbound_rule {
protocol = "tcp"
port_range = "1-65535"
destination_addresses = ["0.0.0.0/0", "::/0"]
}
# All outbound UDP (DNS, NTP, QUIC)
outbound_rule {
protocol = "udp"
port_range = "1-65535"
destination_addresses = ["0.0.0.0/0", "::/0"]
}
tags = ["aibook-fun"]
}
+44
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# aibook-fun - Monitoring Configuration
# Managed by OpenTofu
resource "digitalocean_monitor_alert" "cpu" {
count = var.enable_monitoring ? 1 : 0
alerts {
email = [var.alert_email]
}
window = "5m"
type = "v1/insights/droplet/cpu"
compare = "GreaterThan"
value = var.cpu_alert_threshold
enabled = true
entities = [digitalocean_droplet.web.id]
description = "aibook-fun: CPU usage above ${var.cpu_alert_threshold}% for 5 min"
}
resource "digitalocean_monitor_alert" "memory" {
count = var.enable_monitoring ? 1 : 0
alerts {
email = [var.alert_email]
}
window = "5m"
type = "v1/insights/droplet/memory_utilization_percent"
compare = "GreaterThan"
value = var.memory_alert_threshold
enabled = true
entities = [digitalocean_droplet.web.id]
description = "aibook-fun: Memory usage above ${var.memory_alert_threshold}% for 5 min"
}
resource "digitalocean_monitor_alert" "disk" {
count = var.enable_monitoring ? 1 : 0
alerts {
email = [var.alert_email]
}
window = "5m"
type = "v1/insights/droplet/disk_utilization_percent"
compare = "GreaterThan"
value = var.disk_alert_threshold
enabled = true
entities = [digitalocean_droplet.web.id]
description = "aibook-fun: Disk usage above ${var.disk_alert_threshold}% for 5 min"
}
+28
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# aibook-fun - Terraform Outputs
# Managed by OpenTofu
output "droplet_ip" {
description = "Droplet IPv4 address (reserved IP)"
value = digitalocean_reserved_ip.web.ip_address
}
output "reserved_ip" {
description = "Reserved IP address (alias for droplet_ip; stable across rebuilds)"
value = digitalocean_reserved_ip.web.ip_address
}
output "droplet_id" {
description = "Droplet ID"
value = digitalocean_droplet.web.id
}
output "domain" {
description = "Primary domain"
value = var.domain
}
output "site_url" {
description = "Site URL"
value = "https://${var.domain}"
}
@@ -0,0 +1,85 @@
#cloud-config
# First-boot bootstrap: base packages + Docker + git. App layer via ansible.
package_update: true
packages:
- apt-transport-https
- ca-certificates
- curl
- gnupg
- lsb-release
- jq
- unzip
- git
write_files:
# Docker installation
- path: /tmp/install-docker.sh
permissions: "0755"
content: |
#!/bin/bash
set -euo pipefail
curl -fsSL https://get.docker.com -o /tmp/get-docker.sh
sh /tmp/get-docker.sh
systemctl enable docker
systemctl start docker
usermod -aG docker ubuntu
# Docker daemon config (log rotation)
- path: /etc/docker/daemon.json
content: |
{
"log-driver": "json-file",
"log-opts": {
"max-size": "10m",
"max-file": "3"
},
"storage-driver": "overlay2"
}
# Encrypted-at-rest data volume setup (runs BEFORE Docker is installed).
# Graceful no-op when no volume is attached (data_volume_size_gb = 0 default
# for aibook-fun stateless marketing site).
- path: /tmp/setup-data-volume.sh
permissions: "0755"
content: |
#!/bin/bash
set -euo pipefail
DEV="/dev/disk/by-id/scsi-0DO_Volume_aibook-fun-data"
MNT="/mnt/${project_name}_data"
for i in $(seq 1 24); do
[ -e "$DEV" ] && break
sleep 5
done
if [ ! -e "$DEV" ]; then
echo "no data volume attached after 120s - using droplet local disk (stateless mode)"
exit 0
fi
blkid "$DEV" >/dev/null 2>&1 || mkfs.ext4 -q "$DEV"
mkdir -p "$MNT"
grep -q "scsi-0DO_Volume_aibook-fun-data" /etc/fstab || \
echo "$DEV $MNT ext4 defaults,noatime,nofail,discard 0 2" >> /etc/fstab
mountpoint -q "$MNT" || mount "$MNT"
mkdir -p "$MNT/docker"
jq --arg dr "$MNT/docker" '. + {"data-root": $dr}' /etc/docker/daemon.json > /tmp/daemon.json.new
mv /tmp/daemon.json.new /etc/docker/daemon.json
mkdir -p /opt/${project_name}
echo "data volume mounted at $MNT (docker data-root relocated)"
runcmd:
# Data volume setup only when a block volume is attached
- 'bash -c "[ -e /dev/disk/by-id/scsi-0DO_Volume_aibook-fun-data ] && bash /tmp/setup-data-volume.sh || echo no-data-volume"'
- [bash, /tmp/install-docker.sh]
- [systemctl, restart, docker]
# Ensure the app dir exists for ansible to land the compose + Caddyfile
- [mkdir, -p, /opt/${project_name}]
# Marker so ansible/deploy.yml can confirm the host is ready
- [touch, /opt/${project_name}/.bootstrap-complete]
# Enable automatic security updates
- dpkg-reconfigure -plow unattended-upgrades
final_message: |
aibook-fun bootstrap complete. Next step from the operator workstation:
ansible-playbook aibook-fun/ansible/deploy.yml -i 'root@<this-droplet-ip>,'
Ansible will clone the repo, build the Docker image locally on this droplet,
and bring up the compose stack. Site served at https://aibook.fun.
+27
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# ⚠️ NEVER commit terraform.tfvars with real values. Use ./itofu.sh instead —
# it reads TF_VAR_* straight from Infisical /tofu/.
do_token = "<YOUR_DIGITALOCEAN_TOKEN>"
ssh_key_fingerprints = ["<YOUR_SSH_KEY_FINGERPRINT>"]
# pin to admin IP/32 or VPN range for prod
ssh_source_cidrs = ["0.0.0.0/0", "::/0"]
spaces_access_key = "<YOUR_SPACES_ACCESS_KEY>"
spaces_secret_key = "<YOUR_SPACES_SECRET_KEY>"
spaces_encryption_key = "<YOUR_SSE_C_KEY_BASE64>"
domain = "aibook.fun"
region = "atl1"
droplet_size = "s-2vcpu-4gb-amd"
droplet_image = "ubuntu-24-04-x64"
data_volume_size_gb = 0
enable_monitoring = true
# MUST be verified on the DO account
alert_email = "PLT@weown.net"
cpu_alert_threshold = 80
memory_alert_threshold = 90
disk_alert_threshold = 85
+82
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variable "domain" {
type = string
default = "aibook.fun"
}
variable "region" {
type = string
default = "atl1"
}
variable "droplet_size" {
type = string
default = "s-2vcpu-4gb-amd"
}
variable "droplet_image" {
type = string
default = "ubuntu-24-04-x64"
}
variable "ssh_key_fingerprints" {
type = list(string)
}
variable "ssh_source_cidrs" {
description = "CIDR list allowed to reach port 22 — pin to admin IP/32 or VPN range for prod"
type = list(string)
default = ["0.0.0.0/0", "::/0"]
}
variable "do_token" {
type = string
sensitive = true
}
variable "spaces_access_key" {
type = string
sensitive = true
}
variable "spaces_secret_key" {
type = string
sensitive = true
}
variable "spaces_encryption_key" {
description = "DO Spaces SSE-C encryption key (32-byte AES-256, base64)"
type = string
sensitive = true
}
variable "data_volume_size_gb" {
description = "0 = stateless (droplet local disk); >0 attaches encrypted DO block volume for Docker data-root"
type = number
default = 0
}
variable "enable_monitoring" {
type = bool
default = true
}
variable "alert_email" {
description = "Email for monitoring alerts — MUST be verified on the DO account"
type = string
default = "PLT@weown.net"
}
variable "cpu_alert_threshold" {
type = number
default = 80
}
variable "memory_alert_threshold" {
type = number
default = 90
}
variable "disk_alert_threshold" {
type = number
default = 85
}
+17
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# aibook-fun - OpenTofu Version Constraints
# Managed by OpenTofu
terraform {
required_version = ">= 1.7.0"
required_providers {
digitalocean = {
source = "digitalocean/digitalocean"
version = "~> 2.36"
}
}
}
provider "digitalocean" {
token = var.do_token
}
+3
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@@ -1,6 +1,9 @@
/** @type {import('next').NextConfig} */ /** @type {import('next').NextConfig} */
const nextConfig = { const nextConfig = {
reactStrictMode: true, reactStrictMode: true,
// Deploy layer (deploy/docker/Dockerfile) builds the standalone
// output. No runtime behavior change for preview/dev.
output: 'standalone',
// A stray package-lock.json sits at the repo root; pin the workspace root here // A stray package-lock.json sits at the repo root; pin the workspace root here
// so Turbopack doesn't infer the wrong one. // so Turbopack doesn't infer the wrong one.
turbopack: { turbopack: {