argparse-history 0.2.2

An extension of argparse with history tracking

argparse-history

Why Track Command History?

Have you ever found yourself wondering:

• "What parameters did I use for that successful run last week?"
• "How can I replicate the exact configuration from my previous experiments?"
• "Is there an easy way to audit how my script has been used over time?"
• "How can I track my program's performance changes depending on its parameters?"

argparse-history is here to solve these problems and more!

What is argparse-history?

argparse_h.ArgumentParser is an extension of Python's built-in argparse.ArgumentParser that automatically tracks and stores the command-line arguments used in your scripts. It's designed to be a drop-in replacement for ArgumentParser, adding powerful history tracking capabilities with minimal changes to your existing code.

Key Features

• 📜 Automatic command history tracking
• 🕰️ Timestamped entries for easy reference
• 🔍 Built-in history viewing functionality
• 🔍 Tracking execution statistics, or any other relevant data depending on the arguments
• 📁 Customizable history file location
• 🔌 Seamless integration with existing argparse code

Installation

Install argparse-history with pip:

pip install argparse-history

Quick Start

Replace your existing ArgumentParser with argparse_h.ArgumentParser:

from argparse_h import ArgumentParser

parser = ArgumentParser(description="Your script description")
parser.add_argument('--input', help='Input file', required=True)
parser.add_argument('--output', help='Output file', required=True)

args = parser.parse_args()

# Your script logic here

That's it! Your script now tracks command history automatically.

Viewing Command History

To view the command history, simply run your script with the --show-history flag:

python your_script.py --show-history

This will display a list of previous runs with their timestamps and arguments.

python your_script.py --show-args "2024-10-04T10:30:00"

This will display the command line that corresponds to the timestamp "2024-10-04T10:30:00" (that you hopefully copy-pasted from --show-history output!)

python your_script.py --show-stats

In addition to the arguments history this will display any data saved during program runs (see below how to add your performance data to the history).

Customizing History File Location

By default, the history is stored in the current directory. You can specify a custom directory:

python your_script.py --input in.txt --output out.txt --history-dir /path/to/history

Play with the provided example!

• Basic usage:

python test_argparse.py -n 42 -s hello --flag -l item1 -l item2

should yield:

Parsed arguments:
  m: 80
  number: 42
  string: hello
  flag: True
  list: ['item1', 'item2']
  
Computation result: 1764

• Show history:

python test_argparse.py --show-history

gives something like:

Timestamp: 2024-10-04T17:47:38
Arguments:
  show_args: None
  number: 42
  string: hello
  flag: True
  list: ['item1', 'item2']

Timestamp: 2024-10-04T17:49:25
Arguments:
  show_args: None
  number: 42
  string: hello
  flag: True
  list: ['item1', 'item2']

• Show stats:

python test_argparse.py --show-stats

yields something like:

Timestamp: 2024-10-04T17:47:38
Arguments:
  show_args: None
  number: 42
  string: hello
  flag: True
  list: ['item1', 'item2']
Statistics:
  No statistics recorded

Timestamp: 2024-10-04T17:49:25
Arguments:
  show_args: None
  number: 42
  string: hello
  flag: True
  list: ['item1', 'item2']
Statistics:
  execution_time: 1.5s
  memory_usage: 100MB

How to add your script performance statistics?

• Just call parser.add_data() with a dictionary of parameters to save! This is how it is done in the example script:

from argparse_h import ArgumentParser
...
# Simulate adding some stats
parser.add_data({"execution_time": "1.5s", "memory_usage": "100MB"})

• For a slightly more complex example within a class:

from argparse_h import ArgumentParser


class MyProcessorClass:
    # your class methods....
    def process(self):
        # Perform operations
        # .....
        self.execution_data = {'n_procs': n_procs, 'cpu time': cpu_time, 'elapsed time': elapsed_time}

    # ......


if __name__ == '__main__':
    # .....
    parser = ArgumentParser(...)
    # ....
    processor = MyProcessorClass(...)
    processor.process()
    # ....
    parser.add_data(processor.execution_data)

After you run your script, this will allow you to run:

python your_script.py --show-stats

and to track your performance data depending on the script arguments.

Why Choose argparse-history?

1. Effortless Integration: Minimal changes to your existing code.
2. Improved Reproducibility: Easily recreate previous runs.
3. Better Debugging: Quickly identify what parameters were used in past executions.
4. Audit Trail: Keep track of how and when your script is being used.
5. Execution statistics: keep track of your script performance, or any other relevant data, depending on its parameters.
6. Time-Saving: No more manual logging of script parameters.

Contributing

Your contributions are welcome! Please feel free to share if you use argparse-history and how it is useful to you. Also let me know if you have any suggestions of how it could serve you even better!

License

This project is licensed under the MIT License - see the LICENSE file for details. Start tracking your command history today with argparse_h!