pocketwatch 0.1.2

Drop-in stopwatch utility

Pocketwatch

Pocketwatch provides a simple stopwatch for timing any block of Python code. It can display desktop notifications, play a chime after long runs, and optionally collect profiling statistics.

Installation

pip install pocketwatch

Basic Usage

from pocketwatch import Pocketwatch

with Pocketwatch("load data"):
    load_data()

The context manager prints the elapsed time when the block finishes. Pass a logging.Logger if you also want the output sent to a log. Notifications and sound are disabled unless explicitly requested.

with Pocketwatch(
    "big task",
    notify=True,          # show a pop-up
    notify_after=5.0,     # minimum duration before popup
    sound=True,           # play ding.wav
    sound_after=60.0,     # minimum duration for sound
):
    run_big_task()

You can capture intermediate checkpoints using mark() (or its alias log()):

with Pocketwatch("steps") as pw:
    load()
    pw.mark("loaded data")
    transform()
    pw.log("transformed")

To enable cProfile integration, pass profile=True. By default the raw stats are written to profile_output.prof; set profile_output_path=None to skip writing the file. Call end(return_stats=True) to retrieve a pstats.Stats instance.

with Pocketwatch(profile=True) as pw:
    crunch_numbers()
stats = pw.end(return_stats=True)

Decorator Shortcut

A lightweight decorator mirrors the context manager. It uses the function name as the message label and prints the elapsed time. Provide a logger argument to forward output to your own logging setup.

from pocketwatch.decorators import stopwatch

@stopwatch
def do_work():
    ...

Custom options may be supplied when decorating:

@stopwatch(sound=True, notify=False)
def background_job():
    ...

Features

• Drop-in context manager for timing code blocks
• Desktop notifications via notifypy
• Optional sound playback with bundled audio files
• Incremental mode to suppress output for short runs
• Optional logging to a custom logger
• Checkpointing with mark() or log()
• cProfile support with stats returned on request
• Works with Python 3.9+
• Licensed under the MIT license