klingon_tools 2.1.6

A set of utilities for running and logging shell commands in a user-friendly manner.

klingon_utils

Utility Repository

This repository contains a set of utilities that are frequently used. These utilities are designed to automate and simplify various tasks, making them more efficient and less error-prone.

Contents

Currently, the repository includes the following utilities:

• treetool (tt): A tool for saving and generating project file and directory structures. See treetool/README.md for more details.
• gitignore: A generic .gitignore file. See gitignore/README.md for more details.
• amnesia: A utility for rewriting commit history in a Git repository. See amnesia/README.md for more details.
• Cxcel: Render CSV files in both terminal and web interfaces. Real-time updates to the displayed CSV content by monitoring file changes. See Cxcel/README.md for more details.
• klingon tool (kt): Installer/updater for klingon tools CLI. See kt/README.md for more details.

klingon_tools

klingon_tools is a Python package that provides a set of utilities designed to automate and simplify various tasks, making them more efficient and less error-prone. This package includes tools for logging, git operations, OpenAI integration, and more.

Features

• Logging Tools: Provides decorators for methods and CLI commands to log output in a clean and consistent manner with simple error handling.
• Git Tools: Functions to interact with a Git repository, including staging, committing, pushing changes, and running pre-commit hooks.
• OpenAI Tools: Tools for generating commit messages, pull request titles, and release bodies using OpenAI's API.
• GitHub Actions Update: Utility to check and update GitHub Actions versions in workflows.

Installation

To install klingon_tools, use pip:

pip install klingon_tools

Usage

Logging Tools

The logtools module provides utilities for running and logging shell commands in a user-friendly manner. It includes the LogTools class, which offers decorators for methods and CLI commands to log output in a clean and consistent manner with simple error handling.

Example Usage of logtools

from klingon_tools import LogTools

log_tools = LogTools(debug=True)

@log_tools.method_state(name="Install numpy")
def install_numpy():
    return "PIP_ROOT_USER_ACTION=ignore pip install -q numpy"

install_numpy()

Expected output:

Running Install numpy...                                               OK

Git Tools

The git_tools module provides functions to interact with a Git repository, including staging, committing, pushing changes, and running pre-commit hooks. It also includes functions to retrieve the status of the repository and handle deleted files.

Example Usage of git_tools

from klingon_tools.git_tools import git_get_toplevel, git_commit_file

repo = git_get_toplevel()
if repo:
    git_commit_file('example.txt', repo)

OpenAI Tools

The openai_tools module provides tools for generating commit messages, pull request titles, and release bodies using OpenAI's API.

Example Usage of openai_tools

from klingon_tools.openai_tools import OpenAITools

openai_tools = OpenAITools()
diff = "diff content here"
commit_message = openai_tools.generate_commit_message(diff)
print(commit_message)

GitHub Actions Update

The gh_actions_update module provides functionality to check and update GitHub Actions versions in YAML workflow files within a repository.

Example Usage of gh-actions-update

python -m klingon_tools.gh_actions_update

To update all outdated actions to the latest version, use the --update flag:

python -m klingon_tools.gh_actions_update --update

Entry Points

The package provides several entry points for command-line usage:

• push: Automates git operations such as staging, committing, and pushing files.
• gh-actions-update: Checks and updates GitHub Actions versions in workflows.
• pr-title-generate: Generates a pull request title using OpenAI's API.
• pr-summary-generate: Generates a pull request summary using OpenAI's API.
• pr-context-generate: Generates a pull request context using OpenAI's API.
• pr-body-generate: Generates a pull request body using OpenAI's API.

Example Usage of push

The push entry point automates git operations such as staging, committing, and pushing files. It also integrates with pre-commit hooks and generates conventional commit messages using OpenAI's API.

Usage

An entrypoint for push is installed when klingon_tools is installed so push can be run from the command line without specifying the module.

If your environment does not support entrypoints, you can run the following command:

python -m klingon_tools.push --repo-path /path/to/repo --file-name example.txt

Example Usage of gh-actions-update

The gh-actions-update entry point finds all GitHub Actions in the current repository, checks the version they are using, and retrieves the most recent version of each action. It returns a table containing "Action Name", "Current Version", and "Latest Version" columns.

Usage

python -m klingon_tools.gh_actions_update

To update all outdated actions to the latest version, use the --update flag:

python -m klingon_tools.gh_actions_update --update

To update actions in a specific file (bash wildcards accepted), use the --file flag:

python -m klingon_tools.gh_actions_update --update --file {filename}

To update all instances of a specific action, use the --action flag:

python -m klingon_tools.gh_actions_update --update --action {action name}

To update all instances of a specific action in a specific file, use both --file and --action flags:

python -m klingon_tools.gh_actions_update --update --file {filename} --action {action name}

Example Output

Action Name          Current Version    Latest Version
-------------------  -----------------  ---------------
actions/checkout     v2                 v3
actions/setup-python v1                 v2

Note: Use '--update' to update all outdated actions to the latest version.
Use '--update --file {filename}' to update a specific file (bash wildcards accepted).
Use '--action {action name}' to update all instances of a specific action.
Use '--action' and '--file' together to update all instances of a specific action in a specific file.

Conventional Commits

We require all commit messages to follow the Conventional Commits standard. Below are the types we use and their explanations:

Type	Emoticon	Description
feat	✨	add new user authentication feature
fix	🐛	resolve issue with user login
docs	📚	update README with new setup instructions
style	💄	improve button styling
refactor	♻️	reorganize project structure
perf	🚀	optimize database queries for faster response
test	🚨	add unit tests for login component
build	🛠️	update dependencies
ci	⚙️	add GitHub Actions workflow
chore	🔧	clean up old files
revert	⏪	undo previous commit that caused issues

Semver Versioning

Versioning uses the semver standard. The version is stored in pyproject.toml under the [poetry.tools] section.

More information on semver can be found here: Semver

Contributing

Contributions are welcome. Please open an issue to discuss your idea before making a change.

License

MIT

Usage

Each utility has its own specific usage instructions, which can be found in the comments of the utility's script. In general, utilities can be run from the command line and accept various command-line arguments.

Example Usage of gh-actions-update

The gh-actions-update entrypoint finds all GitHub Actions in the current repository, checks the version they are using, and retrieves the most recent version of each action. It returns a table containing "Action Name", "Current Version", and "Latest Version" columns.

Usage

To use the gh-actions-update entrypoint, run the following command:

python -m klingon_tools.gh_actions_update

To update all outdated actions to the latest version, use the --update flag:

python -m klingon_tools.gh_actions_update --update

To update actions in a specific file (bash wildcards accepted), use the --file flag:

python -m klingon_tools.gh_actions_update --update --file {filename}

To update all instances of a specific action, use the --action flag:

python -m klingon_tools.gh_actions_update --update --action {action name}

To update all instances of a specific action in a specific file, use both --file and --action flags:

python -m klingon_tools.gh_actions_update --update --file {filename} --action {action name}

Example Output

Action Name          Current Version    Latest Version
-------------------  -----------------  ---------------
actions/checkout     v2                 v3
actions/setup-python v1                 v2

Note: Use '--update' to update all outdated actions to the latest version.
Use '--update --file {filename}' to update a specific file (bash wildcards accepted).
Use '--action {action name}' to update all instances of a specific action.
Use '--action' and '--file' together to update all instances of a specific action in a specific file.

Example Usage of makefile_logger

The makefile_logger.py script allows you to log messages from a Makefile using the same logging style as klingon_tools. This ensures consistent logging across your project.

Usage

To use the makefile_logger.py script, call it from your Makefile with the desired log level and message. The available log levels are INFO, WARNING, ERROR, and DEBUG.

Example Makefile Usage:

# Log an informational message
@python klingon_tools/makefile_logger.py INFO "Cleaning up repo"

# Log a warning message
@python klingon_tools/makefile_logger.py WARNING "This is a warning"

# Log an error message
@python klingon_tools/makefile_logger.py ERROR "An error occurred"

# Log a debug message
@python klingon_tools/makefile_logger.py DEBUG "Debugging information"

This will log messages with the appropriate status icons, ensuring that your Makefile logs are consistent with the rest of your project's logging.

The logtools utility provides decorators for methods and CLI commands that log output in a clean and consistent manner with simple error handling.

Method State Example

from klingon_tools import LogTools

log_tools = LogTools(debug=True)

@log_tools.method_state(name="Install numpy")
def install_numpy():
    return "PIP_ROOT_USER_ACTION=ignore pip install -q numpy"

install_numpy()

Expected output:

Running Install numpy...                                               OK

Command State Example

from klingon_tools import LogTools

commands = [
    ("PIP_ROOT_USER_ACTION=ignore pip install -q numpy", "Install numpy"),
    ("echo 'Hello, World!'", "Print Hello World")
]
log_tools.command_state(commands)

Expected output:

Running Install numpy...                                               OK

Conventional Commits

We require all commit messages to follow the Conventional Commits standard. Below are the types we use and their explanations:

Type	Emoticon	Description
feat	✨	add new user authentication feature
fix	🐛	resolve issue with user login
docs	📚	update README with new setup instructions
style	💄	improve button styling
refactor	♻️	reorganize project structure
perf	🚀	optimize database queries for faster response
test	🚨	add unit tests for login component
build	🛠️	update dependencies
ci	⚙️	add GitHub Actions workflow
chore	🔧	clean up old files
revert	⏪	undo previous commit that caused issues

Contributing

Contributions are welcome. Please open an issue to discuss your idea before making a change.

License

MIT