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Source-first arc42 architecture documentation from Markdown and AsciiDoc records

Project description

archledger

archledger is a source-first arc42 documentation tool. It stores architecture knowledge as small, reviewable Markdown or AsciiDoc records with YAML front matter, validates those records, tracks source drift, and assembles complete arc42-style architecture documents on demand.

Release status

archledger is currently beta.

  • Native Markdown and AsciiDoc source workflows are the most stable path.
  • Converter-backed exports are supported when the required external tools are installed and validated by CI.
  • See CHANGELOG.md for recent release-oriented changes and docs/release-process.rst for the maintainer release checklist.

What archledger is

archledger is intentionally small:

  • project-local config discovery from archledger.toml or .archledger.toml
  • canonical source fragments in Markdown or AsciiDoc
  • a compact Typer CLI for init, read, record creation, validation, source drift tracking, migration, and builds
  • deterministic native document assembly with optional converter-backed exports

The “ledger” is the project-local set of architecture records: requirements, decisions, constraints, building blocks, runtime scenarios, deployment nodes, quality scenarios, risks, glossary terms, and diagrams.

archledger is not an accounting ledger, blockchain ledger, Arch Linux package tool, or task tracker.

When to use it

Use archledger when you want architecture documentation that can be updated incrementally by humans or coding agents, reviewed in Git, and assembled into arc42-style documents on demand.

Install

Editable development install:

python -m pip install -e ".[dev]"

Normal user install:

python -m pip install .

Docs build support:

python -m pip install -e ".[docs]"

Optional converter tools:

  • pandoc for Markdown-source exports and some AsciiDoc exports
  • asciidoctor for native AsciiDoc HTML and DocBook conversion
  • asciidoctor-pdf for native AsciiDoc PDF output

Converter-backed formats are part of the supported workflow only when those tools are present and the related integration checks pass.

Quick start

Markdown source

archledger init --source-format markdown
archledger seed arc42-minimal
archledger --json read --body
archledger build --format markdown

AsciiDoc source

archledger init --source-format asciidoc
archledger seed arc42-minimal
archledger --json read --body
archledger build --format asciidoc

Core concepts

Workspace config

By default, archledger init writes archledger.toml at the workspace root and stores state under .archledger/. Relative archledger_dir values are resolved from the config file location, and [build].default_output_dir is resolved relative to that same config directory / workspace root.

Source fragments

Each section file and record file has YAML front matter plus a body in the configured dialect. Example:

---
schema_version: 2
id: al_0013
type: adr
title: "Treat source fragments as canonical"
status: accepted
section: architecture_decisions
order: 10
date: "2026-05-20"
body_format: markdown
created_at: "2026-05-20T00:00:00Z"
updated_at: "2026-05-20T00:00:00Z"
---

body_format must match the project source.format unless you explicitly use the migration escape hatch during a manual source conversion.

Sections and records

Sections are the arc42 chapter skeleton. Records hold individual requirements, decisions, building blocks, risks, and other architecture facts. Use the CLI to allocate paths and ids, then edit the generated fragment.

Generated outputs

Generated output files are not canonical source. By default they live under .archledger/build/, but [build].default_output_dir can move them elsewhere under the project root.

What to commit

For a project that uses archledger, commit the canonical source and config:

  • archledger.toml
  • .archledger/sections/**
  • .archledger/records/**
  • optionally .archledger/storage.yaml if you want deterministic id allocation across machines
  • optionally .archledger/source-state.json if your team wants a shared drift baseline

Do not treat generated build output as canonical source. The default location is .archledger/build/**, but the configured build output directory may be elsewhere under the project root. Generated build output and converter intermediates are disposable unless you are intentionally debugging an export issue.

Record types

Kind Common aliases Default section
requirement requirement introduction_and_goals
stakeholder stakeholder introduction_and_goals
quality_goal quality-goal introduction_and_goals
constraint constraint architecture_constraints
context_interface context-interface context_and_scope
strategy_item strategy-item solution_strategy
white_box white-box building_block_view
black_box black-box building_block_view
interface interface building_block_view
runtime_scenario runtime runtime_view
infrastructure infrastructure deployment_view
diagram diagram cross_cutting_concepts
concept concept cross_cutting_concepts
adr adr architecture_decisions
quality_requirement quality-requirement quality_requirements
quality_scenario quality-scenario quality_requirements
risk risk risks_and_technical_debt
glossary_term glossary-term glossary

Reading source without exporting

Use read and the JSON commands to inspect the current source state directly:

archledger --json paths
archledger --json status
archledger --json check
archledger --json read --body --include-drafts
archledger --json read --section building_block_view --body
archledger --json read --kind adr --body

--json is a global option. Use archledger --json read ..., not archledger read --json.

read does not call the build pipeline and does not create generated output files.

Tracking implementation drift

Snapshots

archledger --json source snapshot --reason after-archledger-update

snapshot writes .archledger/source-state.json by default. Source-state payloads store SHA-256 content hashes only for files, do not persist mtimes or file sizes, and include a derived directory hash map. If [tracking].enabled = false, snapshot and changed fail explicitly instead of silently creating misleading tracking state.

Changed files

archledger --json source changed
archledger --json source changed --include-drafts

changed reports added, modified, deleted, and possible renamed files plus impacted records and sections linked through source_refs.

Linking source_refs

When fragments document real code or directories, add source_refs:

source_refs:
  - archledger/repository.py#ArchitectureRepository
  - path: archledger/storage/project_config.py
    symbols:
      - ProjectConfig
      - load_project_config
    reason: "Tracking configuration contract"
  - path: archledger/templates/
    reason: "Bundled templates"

Paths must be relative to the workspace root. Directory refs end with / and must point to an existing directory.

Practical drift workflow

archledger --json source changed
archledger --json read --body --include-drafts
# update the affected fragments and their source_refs
archledger --json check
archledger --json source snapshot --reason after-archledger-update

A useful pattern is:

  1. Link records to the relevant code or directories with source_refs.
  2. Run changed before broad documentation refreshes.
  3. Update only the fragments whose refs were impacted.
  4. Record a fresh snapshot only after the documentation update is validated.

Building output documents

Native builds

archledger build --format markdown
archledger build --format asciidoc

Converted builds

archledger build --format html
archledger build --format html --format markdown
archledger --json build --format html --format markdown

Tooling matrix

Source format Output format Tooling
Markdown Markdown none
AsciiDoc AsciiDoc none
Markdown HTML, DOCX, RST, Textile, PDF, AsciiDoc pandoc
AsciiDoc HTML asciidoctor or pandoc
AsciiDoc PDF asciidoctor-pdf or pandoc
AsciiDoc DOCX, Markdown, RST, Textile asciidoctor + pandoc

Per-output overrides live under [build.outputs.<format>]. Supported keys are tool, pdf_engine, reference_docx, and enabled. Supported tool values are auto, pandoc, and asciidoctor.

Diagram records

Diagram records are plain text by default. Dense architecture diagrams should use diagram_type = "text" or "unicode" so they remain readable in source, Git diffs, terminal output, and native Markdown/AsciiDoc builds. Mermaid remains available for compact diagrams, but it is not the default.

Create first-class diagram records directly:

archledger new diagram "Runtime login flow" --section runtime_view --status proposed
archledger new diagram "Deployment topology" --section deployment_view --caption "Target deployment"
archledger new diagram "Login sequence" --diagram-type mermaid

Supported diagram_type values: text (default), ascii, unicode, svgbob, mermaid.

Native Markdown/AsciiDoc builds preserve text diagram blocks as readable fenced/literal blocks without any external tool. Rendered image materialization for converter-backed formats is optional and disabled by default:

[diagrams]
enabled = true
renderer = "mermaid-cli"  # pass-through | mermaid-cli | svgbob | asciidoctor-diagram | kroki
default_type = "text"
output_dir = "diagrams"
image_format = "svg"
kroki_url = ""

renderer = "kroki" requires an explicit kroki_url. No public Kroki URL is used implicitly.

Migrating source dialects

source convert is a source migration command, not a general build/export command. It currently supports Markdown-source projects to AsciiDoc-source projects only.

Dry-run the migration first:

archledger source convert --to asciidoc

Write the migration:

archledger source convert --to asciidoc --apply

--apply now requires pandoc by default so the migrated .adoc files and the resulting source.format = "asciidoc" config stay consistent. If you intentionally want a temporary mixed-body migration, use:

archledger source convert --to asciidoc --apply --allow-mixed-body-format

Use this escape hatch only when you explicitly accept a manual cleanup step. Run the command from a clean VCS state.

Configuration reference

Example config v5:

config_version = 5
archledger_dir = ".archledger"
project_uuid = "..."
project_name = "my-project"

[source]
format = "markdown"       # markdown | asciidoc
front_matter = "yaml"
section_extension = ".md" # .md or .adoc
record_extension = ".md"
schema_version = 2

[build]
default_output = "architecture.md"
default_format = "markdown"
default_output_dir = "build"
include_draft = false
include_superseded = false
strict = false
keep_intermediate = false
converter = "auto"        # auto | pandoc | asciidoctor
pdf_engine = ""
reference_docx = ""

[tracking]
enabled = true
state_file = "source-state.json"
scanner = "auto"          # auto | git | filesystem

[build].default_output_dir is relative to the directory containing archledger.toml or .archledger.toml.

source-state.json stores SHA-256 content hashes only for files. It does not persist mtimes or file sizes. Directory hashes are derived from file hashes.

CLI reference for agents

For coding agents, prefer this loop:

  1. archledger --json paths
  2. archledger --json source changed
  3. archledger --json read --body --include-drafts
  4. Edit only source fragments under archledger_dir/sections and archledger_dir/records
  5. archledger --json check
  6. Build only when the user asks for an exported artifact
  7. archledger --json source snapshot --reason after-archledger-update after the docs have been updated and validated

Archiving and structural repair

Do not delete numbered source fragments. Use:

archledger archive al_0022 --reason "obsolete after al_0041"

Archived records move to .archledger/archive/ and keep their original ID. They are excluded from default read/list/build flows but still reserve their ledger number.

Use:

archledger doctor
archledger doctor --repair

doctor --repair can recreate missing required section files, create archive tombstones for missing non-section IDs, and recompute storage.yaml.next_number without renumbering existing records.

Development

Run the standard checks:

python -m pytest -q
python -m ruff check .
python -m ruff format --check .
python -m mypy archledger
python -m sphinx -b html docs docs/_build/html

Release-oriented checks:

rm -rf dist build *.egg-info
python -m build
python -m twine check dist/*
python -m venv /tmp/archledger-wheel-test
/tmp/archledger-wheel-test/bin/python -m pip install dist/*.whl
/tmp/archledger-wheel-test/bin/archledger --version

For the full maintainer checklist, see docs/release-process.rst.

Troubleshooting

Symptom Cause Fix
No archledger.toml found Command ran outside a configured workspace. Run from the project tree or pass --root.
Draft records missing from builds Drafts are excluded by default. Use --include-drafts or promote the record status.
Build blocked by warnings --strict treats warnings as failures. Fix the warnings or build without --strict.
Converter executable not found Requested output needs pandoc, asciidoctor, or asciidoctor-pdf. Install the required tool or change the per-output converter config.
source changed says no baseline found No source snapshot exists yet. Run archledger --json source snapshot --reason after-archledger-update after the docs are current.
snapshot or changed says tracking is disabled [tracking].enabled = false. Re-enable tracking or avoid tracking commands for that workspace.
source convert --apply fails without pandoc Apply mode is strict by default. Install pandoc or re-run with --allow-mixed-body-format if you accept a manual cleanup step.
check reports missing ledger IDs Numbered fragments were deleted or moved manually. Use archledger archive for lifecycle removal and archledger doctor --repair for safe structural repair.

Skill

The repository-provided coding-agent protocol lives at skills/archledger/SKILL.md.

Security and trust

archledger reads local project files and only invokes external converters when you request output formats that need them. It does not sync or send project content anywhere by itself.

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