import requests


def is_ontology_exists(uid, url):
    list_ontologies = requests.get(url).json()['response']
    for onto in list_ontologies:
        if onto['uid'] == uid:
            return False
    return True


def get_list_sqwrl(uid, url):
    return requests.get(url + f'{uid}/query/', verify=False).json()


def get_entity_square(results_ndarray_i):
    square = float((results_ndarray_i[2] - results_ndarray_i[0]) *
                   (results_ndarray_i[3] - results_ndarray_i[1]))
    return abs(square)


def get_request_data(entities, results_ndarray):
    classroom = 'classroom'
    object_properties = list()
    data_properties = list()
    for i, entity in enumerate(entities):  # запись в лист имен объектов и присутствие
        if (results_ndarray[:, -1] == i).sum() > 0:  # если объект найден
            object_properties.append({'domain': entity,
                                      'property': 'locatedIn',
                                      'range': classroom})
        else:
            object_properties.append({'domain': entity,
                                      'property': 'notLocatedIn',
                                      'range': classroom})

    for i in range(results_ndarray.shape[0]):
        data_properties.append({'domain': entities[int(results_ndarray[i, 5])],
                                'property': 'hasArea',
                                'value': get_entity_square(results_ndarray[i])})
        data_properties.append({'domain': entities[int(results_ndarray[i, 5])],
                                'property': 'hasConfidence',
                                'value': float(results_ndarray[i, 4])})

    return object_properties, data_properties