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CLI toolbox with tree/work, YouTube helpers, terminal clock, cheque wording, PDF compression, and CSV plotting.

Project description

lf-toolbox

A set of useful command-line tools for enhancing productivity.

Features

  • tree: Display a directory tree with optional depth/hidden skipping, plus a flexible batch file processor that imports your function from a sibling Python file.
  • youtube: Download YouTube videos, audio, and subtitles, or display video metadata.
  • clock: Full-screen seven-segment terminal clock with stopwatch and countdown.
  • cheque: Convert HKD amounts (supports cents) to formal HK cheque wording in Traditional Chinese and English.
  • pdf: Compress PDF files using Ghostscript quality presets.
  • plot: Plot CSV data with pyqtgraph subplots.

Installation

Install from PyPI (recommended):

pipx install lf-toolbox

Or via pip:

pip install lf-toolbox

Install from GitHub:

pip install "git+https://github.com/o0fung/toolbox.git"

For local development:

git clone https://github.com/o0fung/toolbox.git
cd toolbox
python -m venv .venv
source .venv/bin/activate
python -m pip install -U pip
python -m pip install -e ".[dev]"

Upgrade

Upgrade a pipx install:

pipx upgrade lf-toolbox

Upgrade a pip install:

pip install -U lf-toolbox

Upgrade from GitHub:

pip install -U "git+https://github.com/o0fung/toolbox.git"

If pip says it's already satisfied or the version hasn't changed, force a reinstall:

pip install -U --force-reinstall "git+https://github.com/o0fung/toolbox.git"

Publish to PyPI

See RELEASING.md for the GitHub Release -> GitHub Actions -> PyPI publish checklist.

Usage

Run the installed CLI:

lf --help

Or run via Python entry point in this repo:

python cli.py [COMMAND] [OPTIONS]

🚩 tree

Display a directory tree.

Usage:

python cli.py tree show PATH [--depth DEPTH] [--skip-hidden]
  • PATH: Root directory to display.
  • --depth, -d: Maximum depth to display (default: unlimited).
  • --skip-hidden, -s: Skip hidden files and directories.

Batch file processor

Import and execute a function from a Python module located in the same folder as the target file/folder. The function will be called for each discovered file.

Usage:

# Installed entrypoint
lf tree work PATH [-d DEPTH] [--skip-hidden] [-m MODULE] [-f FUNC]

# From the repo
python cli.py tree work PATH [-d DEPTH] [--skip-hidden] [-m MODULE] [-f FUNC]

Options:

  • PATH (required): A file or a directory. If a directory, items are processed up to the specified depth.
  • -d, --depth (default: 1): Maximum depth when displaying/processing.
  • -s, --skip-hidden: Skip hidden/special files (dot- or underscore-prefixed).
  • -m, --module (default: _script): Python module name (without .py) in the same folder as PATH to import.
  • -f, --func (default: _test): Function name to call inside the module. It should accept a single filepath: str argument. If the function returns a non-None string, it will be shown on that file’s line.

Behavior niceties:

  • If the module file doesn’t exist, a template is copied from tools/_script.py to help you start quickly.
  • If the function doesn’t exist in the module, a stub will be appended automatically so you can fill it in.

Example stub and runs:

# In the same folder as your files, create _script.py with:
from pathlib import Path

def _test(filepath: str):
	p = Path(filepath)
	if p.suffix.lower() == ".txt":
		new = p.with_name(p.stem + "_bak" + p.suffix)
		p.rename(new)
		return f"Renamed: {p.name} -> {new.name}"
# Rename .txt files in a folder (depth 1)
lf tree work ~/docs -m _script -f _test

# Show tree only
lf tree show ~/docs -d 2 -s

🚩 youtube

Download YouTube content, list formats, or show metadata (powered by yt-dlp).

Basic Usage:

python cli.py youtube URL [options]

If no download-related flags are given, metadata only is displayed.

Common Flags:

  • URL (positional): YouTube video URL.
  • --video, -v: Download best video (mp4-preferred) with audio using smart fallback formats.
  • --audio, -a: Download best audio and convert to mp3 (192 kbps) via ffmpeg.
  • --subtitle, -s: Download English subtitles (manual + auto). Use with other modes or alone (metadata + subs).
  • --list: List all available formats (no download) in a compact table.
  • --fmt FORMAT_EXPR: Explicit yt-dlp format selector (e.g. 251, 137+251, bestvideo[height<=720]+bestaudio/best). Overrides -v/-a logic.
  • --out DIR: Output directory (default: ~/Desktop). Created if missing.

Format Fallback Logic (when using -v without --fmt):

  1. bestvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]
  2. bestvideo*+bestaudio*/bestvideo+bestaudio
  3. best

Each failed attempt logs a warning and moves to the next expression. On total failure you'll be prompted to run --list and choose a format via --fmt.

Examples:

# Show metadata only
python cli.py youtube https://www.youtube.com/watch?v=ID

# List formats
python cli.py youtube https://www.youtube.com/watch?v=ID --list

# Download best mp4 (auto fallback) to Desktop
python cli.py youtube https://www.youtube.com/watch?v=ID -v

# Download audio only as mp3 to a custom folder
python cli.py youtube https://www.youtube.com/watch?v=ID -a --out ~/Media/audio

# Download subtitles only (no media)
python cli.py youtube https://www.youtube.com/watch?v=ID -s

# Explicit format combine 1080p video (137) + opus audio (251)
python cli.py youtube https://www.youtube.com/watch?v=ID --fmt 137+251 --out ./downloads

# Constrain height (yt-dlp expression)
python cli.py youtube https://www.youtube.com/watch?v=ID --fmt "bestvideo[height<=720]+bestaudio/best[height<=720]"

Notes:

  • Filenames are the video title; adjust or sanitize as needed manually for now.
  • Subtitles default language: English (--subtitle enables both manual + auto if available).
  • Use --fmt for full control; all yt-dlp format selectors are supported.
  • Output directory is echoed at start: [info] Output directory: /path/...
  • When all format attempts fail you will see a hint to run --list.
  • Video/audio flows may require system FFmpeg tools (ffmpeg, ffprobe):
    • macOS: brew install ffmpeg
    • Ubuntu/Debian: sudo apt install ffmpeg
    • Windows: winget install Gyan.FFmpeg
  • Missing ffmpeg/ffprobe can trigger an interactive install prompt (y/N) using an available package manager (e.g. brew/apt/dnf/yum/pacman/zypper/winget/choco).
  • If Python yt-dlp module is missing, an interactive install prompt is also available.

🚩 clock

Full-screen digital clock rendered with block characters using Rich. Updates every second.

Usage:

# Clock (from the repo)
python cli.py clock [-c COLOR] [-s SIZE]

# Stopwatch (counts up)
python cli.py clock timer [-c COLOR] [-s SIZE]

# Countdown (flexible input)
#   S           -> seconds
#   H M         -> hours minutes
#   H M S       -> hours minutes seconds
# Non-digit separators like spaces, ':', ',', '/' are accepted.
python cli.py clock countdown 45			// 45 seconds
python cli.py clock countdown 1 10		// 1 minute 10 seconds
python cli.py clock countdown 1 0 1		// 1 hour and 1 second
python cli.py clock countdown 2:15:00 -s xlarge -c magenta		// 2 hours 15 minutes

# Mixed option placement (supported)
python cli.py clock -s large countdown 1 10 -c magenta
python cli.py clock countdown 1 10 -c magenta -s large
  • Press Ctrl+C to quit.

Options:

  • --color, -c: Rich color style for digits (e.g., cyan, magenta, "#00ff00").
  • --size, -s: Size preset. One of: small, medium, large, xlarge, xxlarge, xxxlarge.

Notes:

  • When running clock without a subcommand, the live clock UI starts.
  • When running a subcommand (timer, countdown), the clock UI callback does not run.
  • The countdown holds at 00:00:00 until you press Ctrl+C.
  • For clock, place parent options before the subcommand; options after the subcommand are treated as subcommand options.

🚩 cheque

Render HKD amounts (dollars + optional cents) as formal wording for Hong Kong cheques in both Traditional Chinese and English.

Usage:

# From the repo
python cli.py cheque AMOUNT
  • AMOUNT: Non-negative numeric amount with up to 2 decimal places. Examples: 0, 10, 1234567, 123.45, 0.05.

Output format:

  • Chinese:
    • cents is zero: 中文:港幣<FINANCIAL_UPPERCASE>元正
    • cents exists: 中文:港幣<FINANCIAL_UPPERCASE>元<角分>
  • English: English: Hong Kong Dollars <words> only

Rules implemented:

  • Chinese uses financial uppercase numerals (壹貳叁肆伍陸柒捌玖零) with units: 仟佰拾 within each group and 萬/億/兆 across groups.
  • Inserts a single where a unit gap is present (e.g., 1001 -> 壹仟零壹;1000001 -> 壹佰萬零壹)。
  • Chinese cents are rendered with / (e.g., 0.05 -> 零伍分).
  • English follows British/HK style:
    • Uses "and" within hundreds (e.g., one hundred and two).
    • Uses "and" between the last group (<100) and a higher group (e.g., one thousand and ten).
    • Hyphenates 21–99 (e.g., twenty-one).
    • Cents are rendered in words (e.g., 123.45 -> ... and forty-five cents only).

Examples:

python cli.py cheque 0
中文:港幣零元正
English: Hong Kong Dollars Zero only

python cli.py cheque 1001
中文:港幣壹仟零壹元正
English: Hong Kong Dollars One thousand and one only

python cli.py cheque 1000001
中文:港幣壹佰萬零壹元正
English: Hong Kong Dollars One million and one only

python cli.py cheque 120034
中文:港幣壹拾貳萬零叁拾肆元正
English: Hong Kong Dollars One hundred and twenty thousand and thirty-four only

python cli.py cheque 123.45
中文:港幣壹佰貳拾叁元肆角伍分
English: Hong Kong Dollars One hundred and twenty-three and forty-five cents only

python cli.py cheque 0.05
中文:港幣零元零伍分
English: Hong Kong Dollars Zero and five cents only

Notes:

  • Extend English scales beyond trillion by editing tools/cheque.py if needed.

🚩 pdf

Compress PDF files via Ghostscript.

Usage:

# From the repo
python cli.py pdf INPUT.pdf [options]

# Installed entrypoint
lf pdf INPUT.pdf [options]

Options:

  • INPUT.pdf (required): Source PDF file path.
  • -o, --out PATH: Output PDF path. Default is <input_stem>_compressed.pdf in the same folder.
  • -q, --quality: Compression profile. One of: screen, ebook (default), printer, prepress, default.

Examples:

# Default profile (ebook)
lf pdf ~/Desktop/report.pdf

# Stronger compression for on-screen reading
lf pdf ~/Desktop/report.pdf -q screen

# Keep higher print quality and choose output path
lf pdf ~/Desktop/report.pdf -q printer -o ~/Desktop/report_print.pdf

# Option before positional
lf pdf -q printer ~/Desktop/report.pdf

# Option after positional (equivalent)
lf pdf ~/Desktop/report.pdf -q printer

Notes:

  • Requires Ghostscript (gs) installed and available on PATH.
  • macOS install: brew install ghostscript
  • Missing gs can trigger an interactive install prompt (y/N) using an available package manager (e.g. brew/apt/dnf/yum/pacman/zypper/winget/choco).
  • Output path must be different from input path.
  • Compression ratio depends on source content (embedded images/fonts/compression).

🚩 plot

Usage:

# From the repo
python cli.py plot FILE [options]

# Installed entrypoint
lf plot FILE [options]

Key Options:

  • FILE (required): CSV/TSV file path.
  • -d, --delimiter DELIM: Force delimiter (auto-sniff if omitted across , \t ; | space).
  • -t, --title TEXT: Window title.
  • -x, --xcol NAME|INDEX: Column to use as X axis (time-like, numeric, or fallback to row indices). Default: first column.
  • -s, --scale FLOAT: Multiply plotted X values by this factor (default 1.0). Useful for converting frame/sample index to time (numeric/index x-axis only).
  • -y, --ycols COLS: Comma-separated list of Y columns (names or indices). Default: all numeric except the chosen x column.
  • --xlim start,end: Scaled x-value slice (inclusive) before plotting. Accepts comma or colon: --xlim 10,20 or --xlim 10:20. Empty start/end allowed (,20 or 10,).
  • -e, --export: Export a high‑resolution PNG (ImageExporter; independent of window size) next to the CSV (same basename) and exit. Env overrides: PLOT_EXPORT_WIDTH, PLOT_EXPORT_PER_PLOT.
  • -w, --weight FLOAT: Width/size control (in pixels, default 1.0). In line mode it sets line width; in --points-only mode it sets marker size and marker outline width.
  • -o, --out-path PATH: Output PNG path or directory (implies --export if not explicitly provided). If a directory or ends with a path separator, the file name <csv_basename>.png is used. .png extension appended if missing.

Automatic X-axis detection:

  1. If selected x column parses as (mostly) datetimes or epoch seconds/milliseconds -> time axis (DateAxisItem).
  2. Else if (mostly) numeric -> numeric index using the column’s values.
  3. Else -> simple row index (0..N-1).

Y column selection:

  • Columns with ≥ ~60% numeric entries qualify automatically (unless overridden with --ycols).
  • Non-numeric cells become gaps (NaN) in the plot.

X-value trimming (--xlim):

  • Applied to plotted x-axis values after --scale is applied.
  • Inclusive range filter: keep points where xmin <= x <= xmax.
  • If bounds exceed real data extents, they are clamped to available x min/max.
  • Example: with -s 0.02, --xlim 27200,27500 clamps to data bounds when needed.
  • --xlim ,20 keeps data from min x through 20; --xlim 10, keeps 10 through max x.

White Theme:

  • Background forced to white; axes/text black; subtle grid (alpha 0.15).
  • Exported PNG uses the same theme.

Examples:

# Quick auto plot
lf plot ~/data/sensors.csv

# Tab-delimited with custom title
lf plot ~/data/log.tsv -d $'\t' -t "Device Log"

# Explicit x column by name and selected y columns
lf plot data.csv -x timestamp -y temperature,pressure,3

# Restrict to x values 200..300 (after scaling, if -s is used)
lf plot data.csv --xlim 200,300

# Option before positional
lf plot --xlim 200,300 data.csv

# Option after positional (equivalent)
lf plot data.csv --xlim 200,300

# Convert frame_id to seconds at 50 Hz (period = 0.02 s)
lf plot data.csv -x frame_id -s 0.02 -y acc_x,acc_y,acc_z

# Export a high-res PNG (no GUI)
lf plot data.csv -y acc_x,acc_y,acc_z -e

# Export to a specific file path (auto-enables export mode)
lf plot data.csv -o ~/Desktop/plots/session1.png

# Custom export size via environment
PLOT_EXPORT_WIDTH=3000 PLOT_EXPORT_PER_PLOT=250 lf plot data.csv -e

# Thicker lines for visibility
lf plot data.csv -y acc_x,acc_y,acc_z -w 2.5

# Smaller points in points-only mode (weight controls marker size)
lf plot data.csv --points-only -w 1

Console Output Summary: (example)

Loaded 6000 rows, 18 columns from: data.csv
Using x-axis: index (column: time[0])
Y subplots: (6 / 17)
Selected channels (6): acc_x[3], acc_y[4], acc_z[5], gyr_x[6], gyr_y[7], gyr_z[8]
Unselected channels (11): temp[9], pressure[10], battery[11], state[12], ...
Data points (x): [20,30] (501 / 6000 points selected)
--xlim [20,99] clamped to data range [20,30]
Saved PNG: data.png (width=2400px, plots=6, line-width=2.5)

Notes:

  • Channel indices in brackets are zero-based column positions from the original CSV.
  • Unselected list excludes the chosen x-axis column.
  • When no trimming is applied you will see (full dataset) instead of a selected fraction.

Requirements:

  • Desktop GUI environment (macOS, Windows, Linux with X11/Wayland).
  • Dependencies: PyQt6, pyqtgraph (plus optional python-dateutil for richer date parsing).

Keyboard Shortcuts (interactive mode):

  • Esc: Close the window and exit.

Other Behaviors:

  • Supplying --out-path without --export prints a note and performs an export (no interactive session).
  • Rows with non-numeric Y values render gaps (NaN) in lines instead of aborting.

Planned (possible future additions): trimmed-segment CSV export, interactive ROI selection, overlay/legend mode, optional scaled vector/SVG export.


Project Structure

cli.py          # Main CLI entry point
tools/
	_cli_common.py # Shared Typer app factory
	_deps.py      # Runtime dependency install prompts
	_cli_output.py # Shared CLI output helpers
	tree.py       # Directory tree tool
	youtube.py    # YouTube downloader tool
	clock.py      # Full-screen seven-segment terminal clock
	cheque.py     # HK cheque wording (Chinese + English)
	pdf.py        # PDF compression via Ghostscript
	plot.py       # CSV plotting with pyqtgraph (PyQt6)
tests/
	test_cheque.py
	test_pdf.py
	test_tree.py

License

See LICENSE for details.

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