Running Validibot with Docker¶

Validibot runs entirely in Docker containers for local development — Django, a Celery worker, a scheduler, Postgres, Redis, and a local mail catcher. You don't need Python, Postgres, or Node installed on your machine; Docker handles everything.

This page gets you from a fresh machine to a running app in about ten minutes.

Before you start¶

You need three things installed:

Tool	What it's for	Get it
Docker Desktop (Mac/Windows) or Docker Engine / Podman (Linux)	Runs all the containers. Make sure it's actually started before you continue.	https://docs.docker.com/get-docker/
just	The command runner. Every shortcut below (`just local up`) comes from it.	https://just.systems/
git	To clone the repository.	https://git-scm.com/downloads

You'll also want 4 GB of RAM free for Docker (8 GB recommended) and these ports available: 8000 (web), 8025 (mail). just local up checks these two for you and stops with a friendly message if something else is using them.

What is just? It's a small command runner (think "Make, but friendlier"). Validibot's commands live in a justfile at the repo root, so you run short, memorable commands like just local up instead of long docker compose invocations. Install it once (brew install just, or see https://just.systems/); the How the just commands work section below explains what they do under the hood.

Step 1 — Get the code¶

git clone https://github.com/danielmcquillen/validibot.git
cd validibot

Run every command below from inside this validibot folder.

Step 2 — Create your env files¶

These hold your local settings and secrets. Copy them from the examples:

mkdir -p .envs/.local
cp .envs.example/.local/.django   .envs/.local/.django
cp .envs.example/.local/.postgres .envs/.local/.postgres

⚠️ The .envs/ folder holds real secrets and is gitignored. Never commit it. See Environment Configuration for details. (Pro/Enterprise users also copy .build — see Going further.)

Step 3 — Set the three required values¶

Open .envs/.local/.django and replace the three !!!SET...!!! placeholders. The app will not start in local development without all three — the local settings raise an error if the secret key or MFA key is missing.

Variable	What it is	Generate it with
`DJANGO_SECRET_KEY`	Django signing key	`python -c "import secrets; print(secrets.token_urlsafe(50))"`
`DJANGO_MFA_ENCRYPTION_KEY`	Fernet key that encrypts MFA secrets. Must be a valid Fernet key, not just any random string.	`python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"`
`SUPERUSER_PASSWORD`	Your admin login password	Pick a strong one — this is how you'll sign in

No local Python with cryptography? Generate the Fernet key with Docker, which you already have:
docker run --rm python:3.13-slim sh -c "pip install -q cryptography && \
  python -c 'from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())'"

.envs/.local/.postgres needs no edits — its defaults (validibot / validibot) work as-is for local development.

Step 4 — Build and start¶

just local up

…which runs:

docker compose -f docker-compose.local.yml up -d

The first run builds the images and downloads base layers — expect a few minutes. Later starts are fast. (Need to rebuild after changing dependencies or a Dockerfile? Use just local build.)

On first start the web container automatically applies database migrations and runs setup_validibot, which configures site settings, roles, the built-in validators, and creates your admin user from the SUPERUSER_* values. You don't need to run anything else.

Step 5 — Open the app¶

Go to http://localhost:8000 and sign in:

Username: admin (the SUPERUSER_USERNAME default)
Password: the SUPERUSER_PASSWORD you set in step 3

That's it — you're running Validibot. 🎉

Did it work?¶

Quick checks once the stack is up:

just local ps                          # all services should be "Up"
curl http://localhost:8000/health/     # should return OK
just local manage "check_validibot"    # confirms setup is correct

App: http://localhost:8000
Captured emails: http://localhost:8025 (Mailpit — every email the app "sends" locally lands here instead of a real inbox)

How the `just` commands work¶

You don't need this to get running, but it helps to know what just is doing.

The repo root has a justfile that acts as an orchestrator. It pulls in shared helpers (import 'just/common.just') and wires up each command group as a module — mod local 'just/local' is what gives you just local <command>. There are sibling groups for the other workflows: just local-pro, just local-cloud, just self-hosted, just gcp. Run plain just to see the menu, or just --list for everything.

For local development, the recipes in just/local/mod.just are thin wrappers around Docker Compose, always run from the repo root so relative paths resolve:

Command	What it actually runs
`just local up`	Pre-checks ports 8000/8025, then `docker compose -f docker-compose.local.yml up -d` (builds automatically on first run).
`just local build`	`docker compose … up -d --build` — rebuild after dependency or Dockerfile changes.
`just local rebuild`	Same, but also wipes and repopulates the venv volume (use after dependency upgrades).
`just local down`	Stop containers; data is kept.
`just local logs`	Follow logs from all services.
`just local ps`	Container status.
`just local migrate`	Run `manage.py migrate` in the web container.
`just local manage "<cmd>"`	Run any `manage.py` command (e.g. `createsuperuser`).
`just local clean`	Stop and delete all data (volumes removed).

One nicety: if .envs/.local/.build exists, the recipes automatically pass it as --env-file; if it doesn't, they skip it. So community users never have to think about that file. Full reference: Justfile Guide.

What's running¶

Service	What it does
`web`	The Django app (dev server on 8000, your code hot-reloads).
`worker`	Celery worker for background jobs; also launches advanced validator containers via the Docker socket.
`scheduler`	Celery Beat — periodic jobs like cleanup and data expiry.
`postgres`	The database.
`redis`	Task queue for Celery.
`mailpit`	Captures local email at http://localhost:8025.

Entrypoint and start scripts live in compose/local/django/ and wait for Postgres before launching.

Troubleshooting first-run issues¶

"Cannot connect to the Docker daemon" — Docker Desktop isn't running. Start it, wait for it to settle, then retry.

"Port 8000 / 8025 is in use" — just local up detected a leftover process and stopped. Kill the process it names, then re-run just local up.

The web container exits right after starting — almost always a missing or invalid value from step 3. Check just local logs web; a missing DJANGO_SECRET_KEY or DJANGO_MFA_ENCRYPTION_KEY (or an MFA key that isn't a valid Fernet key) raises a clear error at startup.

First build is very slow — normal the first time; it's cached afterward. Watch progress with just local logs.

The page loads but looks unstyled — prebuilt CSS/JS ships in the repo, so this is rare. You only need Node if you're editing SCSS/TypeScript: run npm install && npm run build on the host to regenerate the assets.

Start completely clean — just local clean removes containers and data, then just local up rebuilds from scratch. See also Reset an Environment.

Advanced validators (optional — skip for your first run)¶

You don't need these to get started. The built-in validators (JSON Schema, XML Schema, Tabular, etc.) run inside the Django process and work the moment the stack is up.

Heavyweight validators — EnergyPlus, FMU, and SHACL — run as separate sibling containers that the worker launches on demand. The matching image must already exist on your Docker host. They live in a separate repo and build with one command — no registry, login, or push needed for local use:

git clone https://github.com/danielmcquillen/validibot-validator-backends.git
cd validibot-validator-backends
just build-all          # or build one: just build energyplus

This produces images named validibot-validator-backend-<slug>:latest (slugs: energyplus, fmu, shacl). The worker finds each one by that name automatically — there's nothing to configure. By default these containers run with no network access for safety (they exchange files through a shared storage volume); uncomment VALIDATOR_NETWORK in the compose file only if a validator genuinely needs the internet.

⚠️ Only run validator backend images you build and control yourself — they execute with access to your validation data.

For registry-based deployment (build-and-push to GCP Artifact Registry, etc.) and per-backend details, see the validibot-validator-backends README and Execution Backends.

Going further¶

Pro / Enterprise, the MCP server, signed credentials: these are opt-in and documented in Run Validibot Locally (copy .envs.example/.local/.build, set VALIDIBOT_COMMERCIAL_PACKAGE, and use just local-pro up).
Production-style stack (Gunicorn, no code mount, for parity testing): docker-compose.production.yml via just self-hosted bootstrap. See Deploy with Docker Compose.
VS Code test runner: the repo ships .vscode/.env pointing pytest at the Docker Postgres. If the Testing panel hangs, confirm the interpreter is .venv/bin/python and that Postgres is up (just local up).

Note on local-cloud: if you see just local-cloud ... recipes, those drive the separate hosted-Cloud workflow, not the self-hosted path — you can ignore them.

Where things live¶

compose/local/django/Dockerfile: base image for local dev (includes dev extras).
compose/production/django/Dockerfile: base image for production (no dev extras).
docker-compose.local.yml: local dev (runserver, code mounted) with web + worker + scheduler + postgres + redis + mailpit.
docker-compose.production.yml: production-like (gunicorn, no code mount).
just/local/mod.just: the local development recipes (up, down, build, logs, …).
compose/local/django/entrypoint.sh and start.sh: wait for DB, fix Docker socket permissions, run migrations, first-run setup, start dev server on 8000.
compose/production/django/entrypoint.sh and start.sh: wait for DB, fix Docker socket permissions if mounted, collectstatic, skip setup until migrations exist, then start Gunicorn on 8000.