import sys
import pandas as pd
import ujson as json
from collections import defaultdict

def item_info(item):
    if (item["status"] == 1) and (item["visibility"] in [2, 3, 4]):
        return dict(id=item["id"], level=item["level"], name=item["name"], status=item["status"],
                    visibility=item["visibility"], parent_id=None)

    return None

def populate_entry(tree, item, parent_id):
    # add item to the tree and return id for use as parent_id in next level
    linfo = item_info(item)

    if linfo:
        linfo["parent_id"] = parent_id
        tree.append(linfo)
        return linfo["id"]

    else:
        return None

def read_catalog(infile):
    category_tree = []

    with open(infile) as f:
        data = json.loads(f.read())

        for l0 in data:
            p_id_l1 = populate_entry(category_tree, l0, None)

            if p_id_l1:
                for l1 in l0["items"]:
                    p_id_l2 = populate_entry(category_tree, l1, p_id_l1)

                    if p_id_l2:
                        for l2 in l1["items"]:
                            p_id_l3 = populate_entry(category_tree, l2, p_id_l2)

                            if p_id_l3:
                                for l3 in l2["items"]:
                                    p_id_l4 = populate_entry(category_tree, l3, p_id_l3)

                                    if p_id_l4:
                                        for l4 in l3["items"]:
                                            p_id_l5 = populate_entry(category_tree, l4, p_id_l4)

    df = pd.DataFrame(category_tree)
    df.to_csv("test.csv", index=False, encoding='utf-8')

if __name__ == '__main__':
    infile = sys.argv[1]
    read_catalog(infile)