nclutils 0.2.2

Collection of convenience functions used in Python packages and scripts.

nclutils

Collection of convenience functions used in Python packages and scripts. These are written and maintained for my own personal use. Comprehensive tests are included but I make no guarantees about the quality or correctness of the code.

Features

• Pretty Printing: Rich text formatting for console output with customizable styles
• Shell Commands: Safe execution of shell commands with proper error handling
• Filesystem Utilities: Common filesystem operations
• Questions: Short-cut functions for asking questions and getting user input using the questionary library.
• Network: Helper functions for working with network connections.
• Other miscellaneous utilities.

Requirements

• Python 3.10 or higher
• Dependencies are managed with uv

Dependencies

nclutils has a few dependencies that are included in the project.

• questionary - For asking questions
• rich - For pretty printing
• sh - For running shell commands

Installation

Install using uv:

uv add git+https://github.com/natelandau/nclutils.git

Included Modules

Filesystem Utilities

• backup_path(path: Path, raise_on_missing: bool = False, with_progress: bool = False, transient: bool = True) -> Path | None

  Create a backup of a file or directory. Silently returns None if the source path does not exist by default.

• copy_directory(src: Path, dst: Path, with_progress: bool = False, transient: bool = True, keep_backup: bool = True) -> Path

  Copy a directory with an optional progress bar for each file. If the destination directory already exists, it will be backed up with a timestamped suffix.

• copy_file(src: Path, dst: Path, with_progress: bool = False, transient: bool = True, keep_backup: bool = True) -> Path

  Copy a file with a progress bar. If the destination file already exists, it will be backed up with a timestamped suffix.

  Raises FileNotFoundError if the source file does not exist or is not a file.

• directory_tree(directory: Path, show_hidden: bool = False) -> Tree

  Build a rich.tree representation of a directory's contents.

• find_files(path: Path, globs: list[str] | None = None, ignore_dotfiles: bool = False) -> list[Path]

  Search for files within a directory optionally matching specific glob patterns.

• find_subdirectories(directory: Path, depth: int = 1, filter_regex: str = "", ignore_dotfiles: bool = False, leaf_dirs_only: bool = False) -> list[Path]

  Find and filter subdirectories with granular control:

  from pathlib import Path
  from nclutils import find_subdirectories
  
  root_directory = Path(".")
  
  # Find subdirectories with specific criteria
  subdirs = find_subdirectories(
      root_directory,
      depth=2, # How deep to search
      filter_regex=r"^a", # Only dirs starting with 'a'
      leaf_dirs_only=True, # Furthest down directories only
      ignore_dotfiles=True # Skip hidden directories
  )
  

• find_user_home_dir(username: str | None = None) -> Path | None

  Find the home directory for a requested user or the current user if no user is requested. When running under sudo, the home directory for the sudo user is returned.

Network

• network_available(address: str = "8.8.4.4", port: int = 53, timeout: int = 5) -> bool

  Check if a network connection is available.

Pretty Printing

The pretty printing module provides styled console output with configurable log levels and custom styles. See the pretty_print docs for more information.

• PrettyPrinter(Class)

  Styled console output with configurable levels and custom styles.

• print_debug(envar_prefix: str = None, custom: list[dict] = None, packages: list[str] = None, all_packages: bool = False) -> None

  Print debug information about the current environment.

Pytest Fixtures

The nclutils.pytest_fixtures module contains convenience functions and fixtures that are useful for testing. See the pytest_fixtures docs for more information.

• clean_stdout Clean the stdout of the console output by creating a wrapper around capsys to capture console output.
• debug Prints debug information to the console. Useful for writing and debugging tests.
• pytest_assertrepr_compare Patches the default pytest behavior of hiding whitespace differences in assertion failure messages. Replaces spaces and tabs with [space] and [tab] markers.

Questions

Convenience functions for working with the questionary library.

See the questions docs for more information.

• choose_one_from_list(choices: list[T] | list[tuple[str, T]] | list[dict[str, T]], message: str) -> T | None

  Presents a list of options to the user and returns a single selected option.

• choose_multiple_from_list(choices: list[T] | list[tuple[str, T]] | list[dict[str, T]], message: str) -> list[T] | None

  Presents a list of options to the user and returns a list of selected options.

Shell Commands

Convenience functions built on top of the sh module. See the shell_commands docs for more information.

• run_command(cmd: str, args: list[str] = [], quiet: bool = False, pushd: str | Path | None = None, okay_codes: list[int] | None = None, exclude_regex: str | None = None, sudo: bool = False) -> str

  Execute shell commands with proper error handling and output control.

• which(cmd: str) -> str | None

  Check if a command exists in the PATH. Returns the absolute path to the command if found, otherwise None.

Strings

• camel_case(text: str) -> str

  Convert a string to camel case. (hello world -> helloWorld)

• deburr(text: str) -> str

  Deburr a string. (crème brûlée -> creme brulee)

• kebab_case(text: str) -> str

  Convert a string to kebab case. (hello world -> hello-world)

• list_words(text: str, pattern: str = "", strip_apostrophes: bool = False) -> list[str]

  Extract words from text by splitting on word boundaries and handling contractions. Optionally use a custom regex pattern for more control over word splitting. Handles apostrophes, underscores, and mixed case text intelligently.

  from nclutils import list_words
  
  print(list_words("Jim's horse is fast"))
  # ["Jim's", 'horse', 'is', 'fast']
  
  print(list_words("Jim's horse is fast", strip_apostrophes=True))
  # ['Jims', 'horse', 'is', 'fast']
  
  print(list_words("fred, barney, & pebbles", "[^, ]+"))
  # ['fred', 'barney', '&', 'pebbles']
  

• random_string(length: int) -> str

  Generate a random string of ASCII letters with the specified length.

• pad(text: str, length: int, chars: str = " ") -> str

  Pad a string with a character.

• pad_end(text: str, length: int, chars: str = " ") -> str

  Pad a string on the right side.

• pad_start(text: str, length: int, chars: str = " ") -> str

  Pad a string on the left side.

• pascal_case(text: str) -> str

  Convert a string to pascal case. (Hello World -> HelloWorld)

• separator_case(text: str, separator: str = "-") -> str

  Convert a string to separator case. (hello world -> hello-world)

• snake_case(text: str) -> str

  Convert a string to snake case. (hello world -> hello_world)

• strip_ansi(text: str) -> str

  Strip ANSI escape sequences from a string. (\x1b[31mHello, World!\x1b[0m -> Hello, World!)

• split_camel_case(string_list: list[str], match_case_list: tuple[str, ...] = ()) -> list[str]

  Split camel case strings into into separate words returning a list of words. Optionally, provide a list of strings that should not be split.

Utils

• check_python_version(major: int, minor: int) -> bool

  Check if the current Python version meets minimum requirements.

• format_iso_timestamp(datetime_obj: datetime, microseconds: bool = True) -> str

  Formats a given datetime object as an ISO 8601 timestamp, ensuring UTC formatting with a trailing Z.

• iso_timestamp(microseconds: bool = False) -> str

  Returns an ISO 8601 timestamp in UTC for the current time. (2024-03-15T12:34:56Z)

• new_timestamp_uid(bits: int = 32) -> str

  Generate a unique ID with an ISO 8601 timestamp prefix. (0240315T123456Z-789012-kgk5mzn)

• new_uid(bits: int = 64) -> str

  Generate a unique ID with the specified number of bits. (kgk5mzn)

• unique_id(prefix: str = "") -> str

  Generate consecutive unique IDs with an optional prefix.

  from nclutils import unique_id
  
  print(unique_id())
  # 1
  print(unique_id("id_"))
  # id_2
  print(unique_id())
  # 3
  

Contributing

See CONTRIBUTING.md for more information.