A Python tool to migrate Logseq notes to Obsidian format.

Logseq is a privacy-first, open-source knowledge management tool that uses an outliner editor with bidirectional linking and block references, perfect for building personal knowledge networks.

Obsidian is a Markdown-based local knowledge management tool that helps users build knowledge graphs through bidirectional linking, featuring a powerful plugin ecosystem and visualization capabilities.

🚀 Quick Start

PyPI Installation (Recommended)

Install directly from PyPI:

pip install logseq2obsidian

Running Conversion

After PyPI Installation

# Basic conversion
logseq2obsidian <logseq_dir> <obsidian_dir>

# Preview mode (no actual file writing)
logseq2obsidian <logseq_dir> <obsidian_dir> --dry-run

Development Environment Usage

# Basic conversion
python -m src.main <logseq_dir> <obsidian_dir>

# Preview mode (no actual file writing)
python -m src.main <logseq_dir> <obsidian_dir> --dry-run

Example Data Conversion

# Basic conversion (keep list format)
python scripts/convert_examples.py

# Convert to paragraph format (remove top-level list symbols)
python scripts/convert_examples.py --remove-top-level-bullets

# Conversion with categorization
python scripts/convert_examples.py \
  --remove-top-level-bullets \
  --category-tag wiki \
  --category-folder wiki

Parameter Description:

• --remove-top-level-bullets: Remove first-level list symbols, convert content to paragraph format
• --category-tag <tag>: Specify category tag name (e.g., "wiki")
• --category-folder <folder>: Specify category folder name, used with category-tag

🎯 Key Features

• ✅ Logseq Format Parsing: Parse Logseq markdown files
• ✅ Page Link Conversion: Maintain [[page]] format compatibility
• ✅ Block Reference Processing: Convert ((uuid)) to Obsidian block references
• ✅ Meta Property Conversion: Convert property:: value to YAML frontmatter
• ✅ Format Optimization: Empty line processing, title spacing, content cleanup
• ✅ Filename Processing: URL encoding and special character handling
• ✅ Categorization: Automatically categorize files to folders based on tags

Running Tests

Provide multiple test running methods:

# Run all tests (recommended)
python test.py

# View all available tests
python test.py --list

# Run specific tests
python test.py --test test_basic
python test.py --test test_bug_fixes
python test.py --test test_formatting_comprehensive

# Use standard test framework
python test.py --unittest    # unittest auto discovery
python test.py --pytest     # use pytest (if installed)

# Run individual test files directly
python tests/test_basic.py

🛠️ Development Environment Setup

The project uses Poetry for dependency management, one-click installation:

# Run environment setup script
bash scripts/setup.sh

The script will automatically:

• Check Python 3.10+ version
• Check and configure Poetry
• Create virtual environment (.venv)
• Install all dependencies

Manually activate environment:

source .venv/bin/activate

Test-driven development ensures code quality:

# Continuously run tests during development
python test.py

# Verify after code changes
python test.py --test test_specific_feature

Test Types:

• test_basic - Basic functionality testing
• test_bug_fixes - Bug fix verification testing
• test_formatting_comprehensive - Format optimization comprehensive testing
• test_block_id_comprehensive - Block ID processing comprehensive testing
• test_page_links_comprehensive - Page link processing comprehensive testing
• test_category_detection_comprehensive - Category detection comprehensive testing