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refactor(deploy): pivot compose target to coolify
Co-authored-by: claw <stanislavkalishin+claw@gmail.com>
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docs/runbooks/coolify-compose-deploy.md
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126
docs/runbooks/coolify-compose-deploy.md
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# Coolify Docker Compose Deployment Plan
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## Goal
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Deploy `household-bot` on a VPS that already runs Coolify, while keeping Supabase external and preserving cloud compatibility in the codebase.
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## Why Coolify-first
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Coolify already provides:
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- Git-based deployments
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- domains and TLS
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- environment variable management
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- Docker Compose deployment support
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That makes it a better target than a hand-rolled VPS deploy workflow for this project.
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## Deployment shape
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Use a Docker Compose deployment in Coolify with three services:
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- `bot` — Telegram webhook/API
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- `miniapp` — static frontend container
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- `scheduler` — periodic due-dispatch runner
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Database stays external:
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- Supabase / managed Postgres
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## Compose principles for Coolify
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For Coolify Compose deployments:
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- the compose file is the source of truth
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- define environment variables inline with `${VAR}` placeholders
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- let Coolify manage domains/proxying instead of bundling Caddy/Nginx reverse proxy for the public edge
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- do not rely on external `env_file` paths on the host
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## Scheduler strategy
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Keep the self-hosted scheduled dispatch provider introduced in this PR.
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Runtime model:
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- `bot` handles webhook/API traffic
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- `scheduler` calls the internal due-dispatch endpoint repeatedly
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- both services share the same app image build but run different commands
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## Migrations
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For the first Coolify version, run DB migrations from the bot startup command before the server starts.
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This is intentionally pragmatic:
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- no extra one-off deploy script is required
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- no host SSH deploy step is required
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- drizzle migrations are idempotent enough for single-service startup usage here
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If the deployment setup matures later, split migrations into a dedicated release/predeploy step.
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## Domains
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Suggested public domains:
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- `household-bot.whekin.dev` -> `bot`
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- `household.whekin.dev` -> `miniapp`
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Coolify should manage the public routing/TLS for these services.
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## Required Coolify variables
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Core bot/runtime:
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- `DATABASE_URL`
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- `DB_SCHEMA` (default `public`)
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- `TELEGRAM_BOT_TOKEN`
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- `TELEGRAM_WEBHOOK_SECRET`
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- `TELEGRAM_WEBHOOK_PATH`
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- `MINI_APP_URL`
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- `MINI_APP_ALLOWED_ORIGINS`
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- `SCHEDULER_SHARED_SECRET`
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- `SCHEDULED_DISPATCH_PROVIDER` (`self-hosted`)
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Optional AI/runtime:
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- `OPENAI_API_KEY`
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- `PURCHASE_PARSER_MODEL`
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- `ASSISTANT_MODEL`
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- `TOPIC_PROCESSOR_MODEL`
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- assistant timeout/rate-limit variables
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Miniapp:
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- `BOT_API_URL`
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Scheduler:
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- `SCHEDULER_POLL_INTERVAL_MS`
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- `SCHEDULER_DUE_SCAN_LIMIT`
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## Cloud compatibility rule
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Keep these intact in the app/config layer even if Coolify becomes the main path:
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- Cloud Run compatibility
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- AWS compatibility
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- existing cloud-specific scheduler env vars/adapters
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The deployment target changes; the app should not become Coolify-only.
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## Recommended rollout
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1. Add Coolify compose file
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2. Remove VPS-specific deploy glue from this PR
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3. Create a Coolify Docker Compose app from the repo
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4. Fill required variables in Coolify UI
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5. Assign domains to `bot` and `miniapp`
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6. Deploy and verify webhook + miniapp + scheduler behavior
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## Notes for later
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Possible future upgrades:
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- add Codex/CodeRabbit review automation around PRs
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- move migrations to a dedicated release step
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- codify Coolify resources with Terraform/Pulumi later if that still feels worth it
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