# тут дебільний варіант в кінці просто .csv
with open('D:\AQA_Python\Kibana\InconsistencyCrawlers.csv', 'w') as my_result:
    my_result.write(
        'Crawler Store Name:' + ',' + 'All Products:' + ',' + 'Error Count:' + ',' + 'Percent %' + '\n')
    for hit in hits:
        name = hit['key']
        my_store.append(name)
        error = hit['doc_count']
        a = int(hit['doc_count'])
        if a < 10:
            continue
        name_plus_error, digit = get_count_products_for_crawler(name)
        perc = calculate_percent(name, name_plus_error, error)
        my_result.write(name + ',')
        my_result.write(digit + ',')
        my_result.write(str(error) + ',')
        my_result.write(perc + '\n')

  # тут використав бібліотеку
with open('D:\AQA_Python\Kibana\InconsistencyCrawlersLib.csv', 'w', newline='') as file:
    fieldnames = ['Crawler Store Name', 'All Products', 'Error Count', 'Percent %']
    writer = csv.DictWriter(file, fieldnames=fieldnames)
    writer.writeheader()
    for hit in hits:
        name = hit['key']
        # my_store.append(name)
        error = hit['doc_count']
        a = int(hit['doc_count'])
        if a < 10:
            continue
        name_plus_error, digit = get_count_products_for_crawler(name)
        perc = calculate_percent(name, name_plus_error, error)
        writer.writerow({'Crawler Store Name': name, 'All Products': digit, 'Error Count': str(error),
                         'Percent %': perc})