GitHub - andreoliwa/logseq-doctor: Heal your Markdown files: convert to outline, list tasks and more tools to come

Logseq Doctor: heal your flat old Markdown files before importing them to Logseq.

📚 Read the full documentation

NoteThis project is still alpha, so it's very rough on the edges (documentation and feature-wise). At the moment, it has both a Python and Go CLI. The long-term plan is to convert it to Go and slowly remove Python. New features will be added to the Go CLI only.

What is Logseq Doctor? Logseq Doctor is a command-line tool with commands to manipulate your Logseq Markdown files. It provides utilities to:

Convert flat Markdown to Logseq's outline format Append content to pages and journals Create task backlogs that are easily viewed and prioritized in the mobile app Manage tasks in Logseq Clean up and tidy Markdown files Prevent invalid content to be committed And more stuff to come...

Features

Backlog Management (backlog): Aggregate tasks from multiple pages into unified backlogs with smart categorization, overdue detection, and focus page generation Content Management (content): Append raw Markdown content to Logseq pages or journals Markdown Integration (md): Parse and add Markdown content using DOM manipulation with support for parent blocks and journal targeting Task Management (task add): Add new tasks or update existing ones with key-based search, preserving children and properties Tidy Up (tidy-up): Clean up and standardize your Markdown files Fast Performance: Written in Go for speed and efficiency Outline Conversion (outline): Convert flat Markdown files to Logseq's outline format Task Listing (tasks): List and manage tasks in your Logseq graph

Installation Go binary executable The recommended way for macOS and Linux is to install with Homebrew: brew install andreoliwa/formulae/logseq-doctor

Or you can install manually: go install github.com/andreoliwa/logseq-doctor/cmd/lqd@latest

Confirm if it's in your path: which lqd # or ls -l $(go env GOPATH)/bin/lqd

Python executable The recommended way is to install logseq-doctor globally with pipx: pipx install logseq-doctor

You can also install the development version with: pipx install git+https://github.com/andreoliwa/logseq-doctor

You will then have the lqdpy command available globally in your system.

Build from source To build and install from the source (both Python and Go executables), clone the repository and run: make install

Quick start Type lqd (the Go executable) without arguments to check the current commands and options: Logseq Doctor heals your Markdown files for Logseq.

Convert flat Markdown to Logseq outline, clean up Markdown, prevent invalid content, and more stuff to come.

"lqdpy" is the CLI tool originally written in Python; "lqd" is the Go version. The intention is to slowly convert everything to Go.

Usage: lqd [command]

Available Commands: backlog Aggregate tasks from multiple pages into a unified backlog completion Generate the autocompletion script for the specified shell content Append raw Markdown content to Logseq help Help about any command md Add Markdown content to Logseq using the DOM task Manage tasks in Logseq (subcommands: add) tidy-up Tidy up your Markdown files

Flags: -h, --help help for lqd

Use "lqd [command] --help" for more information about a command.

Type lqdpy without arguments to check the current commands and options: Usage: lqdpy [OPTIONS] COMMAND [ARGS]...

Logseq Doctor: heal your flat old Markdown files before importing them.

Options: -g, --graph DIRECTORY Logseq graph [env var: LOGSEQ_GRAPH_PATH; required] --install-completion [bash|zsh|fish|powershell|pwsh] Install completion for the specified shell. --show-completion [bash|zsh|fish|powershell|pwsh] Show completion for the specified shell, to copy it or customize the installation. --help Show this message and exit.

Commands: outline Convert flat Markdown to outline. tasks List tasks in Logseq.

Development To set up local development: make setup

Run this to see help on all available targets: make

To run all the tests run: tox

Note, to combine the coverage data from all the tox environments run:

OS

Windows set PYTEST_ADDOPTS=--cov-append tox

Other PYTEST_ADDOPTS=--cov-append tox