README.md

dataset-generator

A generator of test datasets

How to use

Install the dependencies:

pip install -e requirements.txt

Start the UI and open localhost:

python main.py --ui

NOTE 0: the UI starts in debug mode as default
NOTE 1: it is possible to open the dataset already created to inspect them just using the load button with the same folder name of the generated dataset

You can use also the script mode passing a valid configuration as in the following example:

python dataset_generator.py gen configs/HighFreqDataset.json --dest-folder ./dataset

Configuration example

{
    "seed": 42,
    "num_days": 90,
    "num_req_x_day": 1000,
    "dest_folder": "HighFrequencyDataset",
    "function": {
        "function_name": "HighFrequencyDataset",
        "kwargs": {
            "num_files": 100000,
            "min_file_size": 100,
            "max_file_size": 24000,
            "lambda_less_req_files": 1.0,
            "lambda_more_req_files": 10.0,
            "perc_more_req_files": 10.0,
            "perc_files_x_day": 1.0,
            "size_generator_function": "gen_random_sizes"
        }
    }
}

NOTE: the function_name have to be a valid GenFunction derived class and the kwargs are the input passed to the __init__ function.