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Make batch updates to Obsidian metadata

Project description

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obsidian-metadata

A script to make batch updates to metadata in an Obsidian vault. No changes are made to the Vault until they are explicitly committed.

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Important Disclaimer

It is strongly recommended that you back up your vault prior to committing changes. This script makes changes directly to the markdown files in your vault. Once the changes are committed, there is no ability to recreate the original information unless you have a backup. Follow the instructions in the script to create a backup of your vault if needed. The author of this script is not responsible for any data loss that may occur. Use at your own risk.

Install

Requires Python v3.10 or above.

pip install obsidian-metadata

Usage

Run obsidian-metadata from the command line to invoke the script. Add --help to view additional options.

Obsidian-metadata provides a menu of sub-commands.

Vault Actions

  • Backup: Create a backup of the vault.
  • Delete Backup: Delete a backup of the vault.

Inspect Metadata

  • View all metadata in the vault

Filter Notes in Scope: Limit the scope of notes to be processed with a regex.

  • Apply regex: Set a regex to limit scope
  • List notes in scope: List notes that will be processed.

Add Metadata

  • Add metadata to the frontmatter
  • Add to inline metadata (Not yet implemented)
  • Add to inline tag (Not yet implemented)

Rename Metadata

  • Rename a key
  • Rename a value
  • rename an inline tag

Delete Metadata

  • Delete a key and associated values
  • Delete a value from a key
  • Delete an inline tag

Review Changes

  • View a diff of the changes that will be made

Commit Changes

  • Commit changes to the vault

Configuration

obsidian-metadata requires a configuration file at ~/.obsidian_metadata.toml. On first run, this file will be created. You can specify a new location for the configuration file with the --config-file option.

To add additional vaults, copy the default section and add the appropriate information. The script will prompt you to select a vault if multiple exist in the configuration file

Below is an example with two vaults.

["Vault One"] # Name of the vault.

    # Path to your obsidian vault
    path = "/path/to/vault"

    # Folders within the vault to ignore when indexing metadata
    exclude_paths = [".git", ".obsidian"]

["Vault Two"]
    path = "/path/to/second_vault"
    exclude_paths = [".git", ".obsidian"]

To bypass the configuration file and specify a vault to use at runtime use the --vault-path option.

Contributing

Setup: Once per project

There are two ways to contribute to this project.

1. Containerized development (Recommended)

  1. Clone this repository. git clone https://github.com/natelandau/obsidian-metadata
  2. Open the repository in Visual Studio Code
  3. Start the Dev Container. Run Ctrl/⌘ + + PRemote-Containers: Reopen in Container.
  4. Run poetry env info -p to find the PATH to the Python interpreter if needed by VSCode.

2. Local development

  1. Install Python 3.10 and Poetry
  2. Clone this repository. git clone https://github.com/natelandau/obsidian-metadata
  3. Install the Poetry environment with poetry install.
  4. Activate your Poetry environment with poetry shell.
  5. Install the pre-commit hooks with pre-commit install --install-hooks.

Developing

  • This project follows the Conventional Commits standard to automate Semantic Versioning and Keep A Changelog with Commitizen.
    • When you're ready to commit changes run cz c
  • Run poe from within the development environment to print a list of Poe the Poet tasks available to run on this project. Common commands:
    • poe lint runs all linters
    • poe test runs all tests with Pytest
  • Run poetry add {package} from within the development environment to install a run time dependency and add it to pyproject.toml and poetry.lock.
  • Run poetry remove {package} from within the development environment to uninstall a run time dependency and remove it from pyproject.toml and poetry.lock.
  • Run poetry update from within the development environment to upgrade all dependencies to the latest versions allowed by pyproject.toml.

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