djaploy 1.1.8

Modular Django deployment system based on pyinfra

djaploy

A modular Django deployment system based on pyinfra, designed to standardize and simplify infrastructure management across Django projects.

Features

• Modular Architecture — Extensible plugin system for deployment components
• Django Integration — Seamless integration via Django management commands
• Multiple Deployment Modes — Support for --local, --latest, and --release deployments
• Infrastructure as Code — Define infrastructure using Python with pyinfra
• Git-based Artifacts — Automated artifact creation from git repository
• SSL Management — Built-in support for SSL certificates and Let's Encrypt
• Python Compilation — Optionally compile Python from source for specific versions

Installation

pip install djaploy

Or with Poetry:

poetry add djaploy

Optional extras

pip install djaploy[certificates]   # Let's Encrypt / certbot support
pip install djaploy[bunny]          # Bunny DNS certbot plugin

Quick Start

1. Add to Django settings

INSTALLED_APPS = [
    # ...
    "djaploy",
]

# Required paths
from pathlib import Path

BASE_DIR = Path(__file__).resolve().parent.parent
PROJECT_DIR = BASE_DIR
GIT_DIR = PROJECT_DIR.parent
DJAPLOY_CONFIG_DIR = PROJECT_DIR / "infra"

2. Create project structure

your-django-project/
├── manage.py
├── your_app/
│   └── settings.py
└── infra/                          # Deployment configuration
    ├── config.py                   # Main configuration
    ├── inventory/                  # Host definitions per environment
    │   ├── production.py
    │   └── staging.py
    └── deploy_files/               # Environment-specific files
        ├── production/
        │   └── etc/systemd/system/app.service
        └── staging/

3. Configure deployment

infra/config.py:

from djaploy.config import DjaployConfig
from pathlib import Path

config = DjaployConfig(
    project_name="myapp",
    djaploy_dir=Path(__file__).parent,
    manage_py_path=Path("manage.py"),

    python_version="3.11",
    app_user="app",
    ssh_user="deploy",

    modules=[
        "djaploy.modules.core",
        "djaploy.modules.nginx",
        "djaploy.modules.systemd",
    ],

    services=["myapp", "myapp-worker"],
)

4. Define inventory

infra/inventory/production.py:

from djaploy.config import HostConfig

hosts = [
    HostConfig(
        name="web-1",
        ssh_host="192.168.1.100",
        ssh_user="deploy",
        app_user="app",
        env="production",
        services=["myapp", "myapp-worker"],
    ),
]

5. Deploy files

Place environment-specific configuration files in deploy_files/ — these are copied to the server during deployment:

# deploy_files/production/etc/systemd/system/myapp.service
[Unit]
Description=My Django App
After=network.target

[Service]
Type=simple
User=app
WorkingDirectory=/home/app/apps/myapp
ExecStart=/home/app/.local/bin/poetry run gunicorn config.wsgi
Restart=on-failure

[Install]
WantedBy=multi-user.target

Usage

Configure a server

python manage.py configureserver --env production

Sets up the application user, installs Python and Poetry, and prepares the directory structure.

Deploy

# Deploy local changes (development)
python manage.py deploy --env production --local

# Deploy latest git commit
python manage.py deploy --env production --latest

# Deploy a specific release
python manage.py deploy --env production --release v1.0.0

Deployment flow:

1. Creates a tar.gz artifact from git
2. Uploads to servers
3. Extracts application code
4. Copies environment-specific deploy files (nginx, systemd, etc.)
5. Installs dependencies via Poetry
6. Runs migrations
7. Collects static files
8. Restarts services

Certificate management

python manage.py update_certs           # Update certificate definitions
python manage.py sync_certs --env production  # Sync certificates

Verify configuration

python manage.py verify --verbose

Modules

djaploy uses a modular architecture — each component is a separate module that can be enabled or disabled per project.

Built-in modules

Module	Description
djaploy.modules.core	Core setup: users, Python, Poetry, artifact deployment, migrations
djaploy.modules.nginx	Nginx web server configuration
djaploy.modules.systemd	Systemd service management
djaploy.modules.sync_certs	SSL certificate syncing
djaploy.modules.cert_renewal	Certificate renewal automation
djaploy.modules.litestream	Litestream database replication
djaploy.modules.rclone	Rclone-based backups
djaploy.modules.tailscale	Tailscale networking

Custom modules

Extend BaseModule to create project-specific deployment logic:

from djaploy.modules.base import BaseModule

class MyModule(BaseModule):
    def configure_server(self, host):
        # Server configuration logic
        pass

    def deploy(self, host, artifact_path):
        # Deployment logic
        pass

Add it to your config:

config = DjaployConfig(
    modules=[
        "djaploy.modules.core",
        "myproject.infra.modules.custom",
    ],
)

Project Customization

prepare.py

Projects can include a prepare.py file for local build steps that run before deployment:

# prepare.py
from djaploy.prepare import run_command

def prepare():
    run_command("npm run build")
    run_command("python manage.py collectstatic --noinput")

Custom deploy files

Projects can include environment-specific configuration files in a deploy_files/ directory that will be copied to the server during deployment. The directory structure mirrors the target filesystem layout (e.g. deploy_files/production/etc/nginx/sites-available/myapp gets copied to /etc/nginx/sites-available/myapp on the server).

Release Notifications & Versioning

djaploy includes built-in support for semantic versioning, changelog generation, and deployment notifications. When enabled, deployments automatically:

• Calculate the next semantic version based on git tags
• Generate a changelog from commit messages (simple or AI-powered)
• Send notifications to Slack or custom webhooks
• Create and push git tags after successful deployments
• Deploy a VERSION file to the server

Enabling the feature

Configure versioning_conf and notifications_conf on your HostConfig:

# infra/inventory/production.py
from djaploy import HostConfig

hosts = [
    HostConfig(
        "web-1",
        ssh_hostname="192.168.1.100",
        app_name="myapp",
        # ...
        versioning_conf={
            "tag_environments": ["production"],  # Create tags only for these envs
            "increment_type": "patch",           # Default: patch (v1.0.0 -> v1.0.1)
            "push_tags": True,                   # Push tags to remote
        },
        notifications_conf={
            "display_name": "My App",            # Name shown in notifications
            "notify": True,                      # Enable Slack notifications for this env
            "notify_on_failure": True,
            "webhook_url": "op://vault/slack/webhook-url",
            "changelog_generator": "llm",        # "simple" or "llm"
            "changelog_config": {
                "api_key": "op://vault/mistral/api-key",  # 1Password reference or plain key
                "model": "devstral-small-latest",
                "api_url": "https://api.mistral.ai/v1/chat/completions",
            },
        },
    ),
]

Configuration options

Versioning (versioning_conf)

Option	Default	Description
tag_environments	["production"]	Environments that create git tags
increment_type	"patch"	Default version bump: major, minor, or patch
push_tags	True	Push created tags to remote
version_file_path	"VERSION"	Path for VERSION file on server

Notifications (notifications_conf)

Option	Default	Description
display_name	app_name	Name shown in notification messages
notify	False	Enable notifications for this environment
notify_on_failure	True	Send notification on deployment failure
webhook_url	—	Slack webhook URL (required)
changelog_generator	"simple"	Generator type: simple or llm
changelog_config	{}	Config passed to changelog generator

Changelog generators

Simple — Concatenates commit messages into a brief summary:

"changelog_generator": "simple"

LLM — Uses an AI model to generate natural language summaries:

"changelog_generator": "llm",
"changelog_config": {
    "api_key": "your-api-key",           # Required
    "api_url": "https://api.mistral.ai/v1/chat/completions",  # OpenAI-compatible
    "model": "devstral-small-latest",
}

Version bump override

Override the default increment type per deployment:

python manage.py deploy --env production --bump-major   # v1.0.0 -> v2.0.0
python manage.py deploy --env production --bump-minor   # v1.0.0 -> v1.1.0
python manage.py deploy --env production --bump-patch   # v1.0.0 -> v1.0.1 (default)

How it works

Deploy to dev (tag_environments: ["production"])
├─ Calculates version from commits since last tag
├─ Generates changelog
├─ Sends notification ✓
└─ Does NOT create tag (dev not in tag_environments)

Deploy to production
├─ Same version/changelog calculation
├─ Sends notification ✓
├─ Creates tag v1.0.5 and pushes to remote ✓
└─ Deploys VERSION file to server

When redeploying the same version (no new commits), the changelog is extracted from the existing git tag message to ensure consistent notifications across environments.

VERSION file

The versioning module deploys a VERSION file to the server containing:

VERSION=v1.0.5
COMMIT=abc1234
DEPLOYED_AT=2024-01-15T10:30:00Z
ENVIRONMENT=production

Development

git clone https://github.com/Technology-Company/djaploy.git
cd djaploy
poetry install

To use a local development copy in another project:

pip install -e /path/to/djaploy

License

MIT