DockLiner

A lightweight, self-hosted deployment manager for personal Docker-based projects. DockLiner manages projects from GitHub, local folders, or downloaded archives, and deploys them with Docker Compose or a plain Dockerfile. It runs natively on the host beside aaPanel.

Core Goals

• One-click deployments — Quick Deploy, Build, and Run actions per project.
• Multiple source types — GitHub repos, local directories, or downloaded archives.
• No leftover cache — Source is mirrored directly into the project deploy path; no github-cache or intermediate clone directories.
• Clear Docker errors — Actionable messages when Docker is missing, not running, or using the wrong engine context.
• SQLite-backed state — Lightweight, no external database.
• PWA-ready — Works as an installable web app with a responsive UI.
• aaPanel friendly — Runs on a custom port and sits behind an Nginx reverse proxy.

Technology Stack

Component	Technology
Backend	Python 3.11+ / FastAPI
ASGI Server	Uvicorn (with auto-reload in dev)
Database	SQLite (SQLAlchemy + Alembic)
Docker Control	Docker CLI via subprocess
Frontend	Jinja2 templates + vanilla JS
Auth	Cookie-based session
Environment	.env + python-dotenv

Directory Structure

/data/
├── dockliner/                  # Application code
│   ├── main.py
│   ├── app/
│   │   ├── core/               # Config, database, security
│   │   ├── models/             # SQLAlchemy models
│   │   ├── routers/            # API + page routes
│   │   ├── services/           # Git, Docker, deploy, file scanning
│   │   ├── templates/          # Jinja2 HTML templates
│   │   └── static/             # CSS, JS, logo
│   ├── alembic/                # Database migrations
│   ├── downloads/              # Imported archive sources
│   ├── projects/               # Live project deploy directories
│   ├── .env
│   ├── requirements.txt
│   └── gunicorn.conf.py
├── dockliner.db                # SQLite database
└── logs/                       # Application logs

Data Model

Projects Table

Field	Description
id	Primary key
name	Unique project name
source_type	github, download, or local
source_url / source_path	Origin reference
deploy_path	Destination directory (/data/projects/{name})
compose_file	Detected or chosen compose file
dockerfile	Detected or chosen Dockerfile
env_file	Detected or chosen .env file
port	Primary project port
status	Current status (running / stopped / error)
last_deployed	Last deployment timestamp
env_vars	Environment variables (JSON)

Deployment Flow

1. User creates a project from GitHub, a local directory, or a downloaded archive.
2. Source is copied/mirrored into deploy_path.
3. User edits compose, Dockerfile, and .env on the Project Setup page; detected files are auto-selected.
4. Project Detail page provides Quick Deploy, Build, Run, Start, Restart, Stop, and Logs.
5. Deploy runs docker compose build then docker compose up -d (or direct docker build / docker run when no compose is present).

UI Layout

• Dashboard — Project list, Docker engine status, running containers, images, networks, and volumes.
• Projects — All projects with status and delete action.
• Project Detail — VSCode-like file viewer, multi-step deploy controls, live logs.
• Project Setup — Compose / Dockerfile / .env detection with auto-selection.
• Downloads — Manage imported archives.
• Settings — Single-page theme, access tokens, and system info. No sub-pages.
• Custom modals — All confirmation/error/info dialogs use the in-app modal system; native alert / confirm are gone.

Security

• Runs as a non-root user in the docker group.
• GitHub PAT is stored as an access token and used only for repo cloning.
• Docker socket access is limited to the docker group.
• No secrets rendered in the UI.

aaPanel Integration

• aaPanel handles sites, domains, and SSL.
• DockLiner runs on a separate port (default 8080).
• Point an aaPanel reverse-proxy site to http://127.0.0.1:8080.

Development Quick Start

1. Clone the repository to /data/dockliner/.
2. Copy .env.example to .env and set SECRET_KEY.
3. Install dependencies: pip install -r requirements.txt.
4. Run: python main.py.
5. Open http://localhost:8080 and log in.

Status

• Dashboard redesign proposal pending approval (doc/0004.md).
• Docker error diagnosis and daemon status caching implemented.
• Settings flattened to a single page.
• Last Updated: July 2026