ccfm-convert 2.1.0

Deploy Markdown as native ADF pages to Confluence Cloud

CCFM — Confluence Cloud Flavoured Markdown

A CLI tool that converts Markdown to Atlassian Document Format (ADF) and deploys pages to Confluence Cloud. Write documentation as Markdown, deploy it as native Confluence pages — no legacy conversions, no storage format hacks, full editor compatibility.

• Native ADF output — Pages open in the Confluence editor without any legacy conversion
• Automatic page hierarchy — Directory structure maps directly to Confluence page hierarchy
• CCFM extensions — Status badges, panels, expands, dates, smart page links, emoji, anchors, image width control
• Dependency-ordered deployment — Pages deploy in topological order so linked pages exist before pages that reference them
• Idempotent — Safe to run multiple times; creates or updates pages automatically
• Remote state — Deployment state stored in Confluence itself, no local files to commit
• Concurrent deploy protection — Terraform-style locking prevents conflicting deploys
• CI/CD ready — Deploy documentation on every commit to your main branch

Full documentation | Syntax reference

---

Quick Start

1. Get an API token

Go to Atlassian API Tokens, create a token, and note your Atlassian email address.

2. Install

pip install ccfm-convert

Note: The pip package is ccfm-convert, but the CLI command is ccfm.

3. Initialise your space

ccfm \
  --domain your-domain.atlassian.net \
  --email [e-mail] \
  --token YOUR_API_TOKEN \
  --space YOUR_SPACE_KEY \
  init

This is idempotent — safe to run multiple times. It creates the _ccfm management infrastructure that stores deployment state and lock information.

4. Write a page

---
page_meta:
  title: My First Page
  labels:
    - docs
deploy_config:
  ci_banner: false
---

# My First Page

This is **bold** text, this is *italic*.

> [!info]
> This is an info panel.

::In Progress::blue::   ::Stable::green::

5. Preview and apply

ccfm plan
ccfm apply --auto-approve

For the full CLI reference, configuration options, and deployment patterns, see the documentation site.

---

Page Hierarchy

Directories map directly to Confluence pages. A file at docs/Team/Engineering/api.md creates:

Team
└── Engineering
    └── api

To control a container page's title and content, add a .page_content.md file inside the directory.

---

Docker

docker pull ghcr.io/stevesimpson418/ccfm-convert:latest

docker run --rm \
  -e CONFLUENCE_DOMAIN=company.atlassian.net \
  -e CONFLUENCE_EMAIL=[e-mail] \
  -e CONFLUENCE_TOKEN=your-token \
  -v $(pwd)/docs:/docs \
  ghcr.io/stevesimpson418/ccfm-convert:latest \
  apply --auto-approve

For GitHub Action usage and CI/CD pipeline examples, see Docker & CI/CD.

---

Development

Setup

python -m venv .env
source .env/bin/activate    # Windows: .env\Scripts\activate

# Install the package and dev/test dependencies
pip install -e .
pip install -r requirements-test.txt

# Install pre-commit hooks
pre-commit install

Running tests

pytest                              # All unit tests with coverage report
pytest tests/test_converter.py      # Single file
pytest -k "test_heading"            # Single test by name

Coverage runs automatically via pyproject.toml. The target is 100% line coverage on src/.

Smoke tests

End-to-end tests that deploy real pages to a Confluence space:

cp .env.smoke.example .env.smoke
# Edit .env.smoke with your values, then:
source .env.smoke
pytest tests/smoke/ --no-cov -v

Code style

• Formatter: Black (line length 100)
• Linter: Ruff
• Python: 3.12

black src/                  # Format
ruff check src/             # Lint
pre-commit run --all-files  # All hooks

---

Contributing

1. Fork the repository and create a feature branch
2. Run pre-commit install to set up hooks
3. Make your changes
4. Run pytest — all tests must pass, coverage must be maintained
5. Run pre-commit run --all-files
6. Submit a pull request

---

Credits

Built on:

• Confluence Cloud REST API v2
• Atlassian Document Format
• PyYAML · Requests