import json
import datasets
from datasets import load_dataset, Dataset, DatasetDict, Features, Value


class MyDatasetConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super(MyDatasetConfig, self).__init__(**kwargs)
class MyDataset(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        MyDatasetConfig(name="master_device-attributes", version=datasets.Version("1.0.0"), description="Master Device Attributes."),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "Qubit": datasets.Value("int32"),
                "F_res_GHz": datasets.Value("string"),
                "F_01_GHz": datasets.Value("string"),
                "Alpha_2pi_MHz": datasets.Value("string"),
                "Punchout_shift_MHz": datasets.Value("string"),
                "Extracted_g_MHz": datasets.Value("string"),
                "Estimated_Dispersive_Shift_KHz": datasets.Value("string"),
                "L_j_nH": datasets.Value("string"),
                "kappa": datasets.Value("string"),
                "notes": datasets.Value("string")
            }),
        )
    
    

common_festures = Features({
    "Qubit": Value("int32"),
    "F_res_GHz": Value("string"),
    "F_01_GHz": Value("string"),
    "Alpha_2pi_MHz": Value("string"),
    "Punchout_shift_MHz": Value("string"),
    "Extracted_g_MHz": Value("string"),
    "Estimated_Dispersive_Shift_KHz": Value("string"),
    "L_j_nH": Value("string"),
    "kappa": Value("string"),
    "notes": Value("string")

    
})
json_file1 = Dataset.from_json(r'C:\Users\Liz\OneDrive\Documents\HuggingFace\SQuADDS_DB\master_device-attributes.json', features=features)

desired_order = ['design_code', 'contrib_info', 'measured_results', 'sim_results', 'notes']


json_file1 = json_file1.set_format(type=None, columns=desired_order)

# Save the DatasetDict to a new dataset on Hugging Face Hub
dataset_dict.push_to_hub("elizabethkunz/test_branch")