alidaparse 0.1.7

A parsing module for ALIDA's services

📦 alidaparse

alidaparse is a Python package for generating CLI arguments required by ALIDA's services. Instead of creating each time an arguments.py, a simple import of alidaparse will do the trick!

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🚀 Features

• Automatically generate dataset/model argument for a service
• Multiple arguments are supported

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📥 Installation

Install via pip:

pip install alidaparse

Or install from source:

git https://github.com/JosephMartinelli/alidaparse.git
cd alidaparse
pip install .

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🧪 Usage

Usually a service of the ALIDA's platform needs to declare an arguments.py file in which it defines a series of an arguments it needs in input to work. This file looks something like this:

# contents of arguments.py
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--input-dataset", dest="input_dataset", type=str, required=True)
parser.add_argument(
    "--input-dataset.minio_bucket", dest="input_minio_bucket", type=str, required=True
)
...

Those arguments need to be repeated for each input/ouput dataset and model that the service needs to use.

With alidaparse.py you simply import a factory class that will automatically generate those arguments for you:

# contents of main.py
from alidaparse.input import InDatasetFactory

dataset = InDatasetFactory.from_cli()

And running main.py will have this effect:

python.exe main.py

usage: main.py [-h] --input-dataset INPUT_DATASET
                    --input-dataset.minio_bucket INPUT_MINIO_BUCKET
                    --input-dataset.minIO_URL INPUT_MINIO_URL
                    --input-dataset.minIO_ACCESS_KEY INPUT_ACCESS_KEY
                    --input-dataset.minIO_SECRET_KEY INPUT_SECRET_KEY
main.py: error: the following arguments are required: --input-dataset, --input-dataset.minio_bucket, --input-dataset.minIO_URL, --input-dataset.minIO_ACCESS_KEY, --input-dataset.minIO_SECRET_KEY

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You can also declare multiple arguments by passing an integer to from_cli(n)

# contents of main.py
from alidaparse.input import InDatasetFactory

dataset = InDatasetFactory.from_cli(n=2)

usage: main.py [-h] --input-dataset-1 INPUT_DATASET_1
--input-dataset-1.minio_bucket INPUT_DATASET_1_MINIO_BUCKET
--input-dataset-1.minIO_URL INPUT_DATASET_1_MINIO_URL
--input-dataset-1.minIO_ACCESS_KEY INPUT_DATASET_1_ACCESS_KEY
--input-dataset-1.minIO_SECRET_KEY INPUT_DATASET_1_SECRET_KEY
--input-dataset-2 INPUT_DATASET_2
--input-dataset-2.minio_bucket INPUT_DATASET_2_MINIO_BUCKET
--input-dataset-2.minIO_URL INPUT_DATASET_2_MINIO_URL
--input-dataset-2.minIO_ACCESS_KEY INPUT_DATASET_2_ACCESS_KEY
--input-dataset-2.minIO_SECRET_KEY INPUT_DATASET_2_SECRET_KEY
main.py: error: the following arguments are required: --input-dataset-1, --input-dataset-1.minio_bucket, 
--input-dataset-1.minIO_URL, --input-dataset-1.minIO_ACCESS_KEY, --input-dataset-1.minIO_SECRET_KEY, 
--input-dataset-2, --input-dataset-2.minio_bucket, --input-dataset-2.minIO_URL, --input-dataset-2.minIO_ACCESS_KEY, 
--input-dataset-2.minIO_SECRET_KEY

alidaparse.py has classes for dealing with input/output datasets, models and custom params. Simply import from alidaparse.input import InDataset,InModel,InParam

📁 Project Structure

alidaparse/
├── input/
│   ├── __init__.py
│   └── InDataset.py
│   └── InModel.py
│   └── InParam.py
├── output/
│   ├── __init__.py
│   └── OutDataset.py
│   └── OutModel.py
├── __init__.py
├── setup.py
├── pyproject.toml
└── README.md

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🛠 Development

To install dependencies:

pip install -r requirements.txt

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📄 License

This project is licensed under the MIT License. See the LICENSE file for details.