import glob
import json
from copy import deepcopy

import pandas


def cross_join(left, right):
    new_rows = [] if right else left
    for left_row in left:
        for right_row in right:
            temp_row = deepcopy(left_row)
            for key, value in right_row.items():
                temp_row[key] = value
            new_rows.append(deepcopy(temp_row))
    return new_rows


def flatten_list(data):
    for elem in data:
        if isinstance(elem, list):
            yield from flatten_list(elem)
        else:
            yield elem


def json_to_dataframe(data_in):
    def flatten_json(data, prev_heading=''):
        if isinstance(data, dict):
            rows = [{}]
            for key, value in data.items():
                rows = cross_join(rows, flatten_json(value, prev_heading + '.' + key))
        elif isinstance(data, list):
            rows = []
            for i in range(len(data)):
                [rows.append(elem) for elem in flatten_list(flatten_json(data[i], prev_heading))]
        else:
            rows = [{prev_heading[1:]: data}]
        return rows

    return pandas.DataFrame(flatten_json(data_in))


if __name__ == '__main__':
    df_list = []
    for json_file in glob.glob("*.json"):
        with open(json_file, "rb") as file:
            df_list.append(json_to_dataframe(json.load(file)))
    merged_df = pandas.concat(df_list, axis=0, ignore_index=True)
    merged_df.to_csv('all.csv', encoding='utf-8')