Example #1
0
async def model_create(ClassOrm, ClassPyd, data_model, soft_insert):
    """
    Универсальное создание моделей с использованием пидантика
    """

    general_response = {'status': False, 'data': None}

    # Шаг 1 валидация
    try:
        obj_pyd = ClassPyd(**data_model)
    except ValidationError as exp:
        if soft_insert:
            general_response['data'] = jsl(exp.json())
            return general_response
        else:
            raise PydanticCreateError(exp.json())

    # Шаг 2 Создание
    try:
        orm_obj = await ClassOrm.create(**obj_pyd.dict())
    except Exception as exp:
        if soft_insert:
            general_response['data'] = str(exp)
            return general_response
        else:
            raise ORMCreateError(str(exp))

    # Шаг 3 Ответ
    back_proc = await ClassPyd.from_tortoise_orm(orm_obj)
    general_response['data'] = back_proc.dict()
    general_response['status'] = True
    return general_response
Example #2
0
 def conf_one_msg_convertor(msg):
     return {
         'topic': msg.topic(),
         'partition': msg.partition(),
         'offset': msg.offset(),
         'key': msg.key().decode('utf-8'),
         'value': jsl(msg.value().decode('utf-8'))
     }
async def test_processing_delete():
    """
    Тестирование удаления витрины данных
    """
    with open(TEST_DEL_FILE, 'r', encoding='utf-8') as file:
        input_data = jsl(fp=file)

    result = await smart_delete_showcases(json_data=input_data)
    with open('z_send_delete_showcase.json', 'w', encoding='utf-8') as fb:
        jsd(result, fb, ensure_ascii=False, indent=4)
async def test_processing_post_create():
    """
    Тестирование создания/обновления клиентов
    """
    with open(TEST_POST_FILE, 'r', encoding='utf-8') as file:
        input_data = jsl(fp=file)

    result = await smart_create_client(json_data=input_data)
    with open('z_send_insert_showcase.json', 'w', encoding='utf-8') as fb:
        jsd(result, fb, ensure_ascii=False, indent=4)
async def test_processing_post_create():
    """
    Тестирование создания словаря
    """
    with open(TEST_POST_FILE, 'r', encoding='utf-8') as file:
        input_data = jsl(fp=file)

    result = await bridge_smart_create_dictionaries(data_json=input_data)
    with open('z_send_insert_dict.json', 'w', encoding='utf-8') as fb:
        jsd(result, fb, ensure_ascii=False, indent=4)
Example #6
0
async def test_processing_delete():
    """
    Тестирование удаления словаря
    """

    with open(TEST_DEL_FILE, 'r', encoding='utf-8') as file:
        input_data = jsl(fp=file)

    result = await bridge_smart_delete_dictionaries(json_data=input_data)
    with open('z_send_delete_dict.json', 'w', encoding='utf-8') as fb:
        jsd(result, fb, ensure_ascii=False, indent=4)
Example #7
0
    def aio_msg_processing(list_data):
        """
        Конвертор данных в универсальный генератор
        :param list_data:
        :return:
        """

        return ({
            'topic': i.topic,
            'partition': i.partition,
            'offset': i.offset,
            'key': i.key.decode('utf-8'),
            'value': jsl(i.value.decode('utf-8'))
        } for i in list_data)
Example #8
0
def get_urls_from_json(
    json_config_file=sys.argv[1]
):  #получаем конфигурационный файл из аргументов командной строки
    with open(json_config_file) as file:
        return jsl(file)  # загружаем данные в json load и возвращаем
Example #9
0
async def process_metadata(json_in):
    """
    Обработка метаданных. Главный обработчик
    :param json_in:
    :return:
    """
    array_out = []
    transform_add = {}

    # Выясняем надо ли нам использовать хардкод
    PATTERN_META_CONV_FOLDER = getattr(GeneralConfig,
                                       'PATTERN_META_CONV_FOLDER', None)
    if PATTERN_META_CONV_FOLDER:
        for conv_name, conv_file in DEFAULT_FILE_META_CONV.items():
            try:
                with open(PATTERN_META_CONV_FOLDER / conv_file,
                          'r',
                          encoding='utf-8') as file:
                    transform_add[conv_name] = jsl(fp=file)
            except Exception:
                continue

    conv_name = transform_add.get('conv_name', {})
    conv_rel_dict = transform_add.get('conv_dict', {})

    # Преобразование водных данных для получения метаданных
    for schema in json_in:
        try:
            ip = schema['ip']
            port = schema['port']
            data_bases = schema['data_bases']

            name_hosts = f'{ip}:{port}'
            type = schema.get('type_db', 'ycl')

            storage_names = conv_name.get(name_hosts, {})
            storage_rels = conv_rel_dict.get(name_hosts, {})

            out_data_bases = []
            out_schema = {
                'ip': ip,
                'port': port,
                'type': type,
                '_name': storage_names.get('_', name_hosts),
                'name_schema': schema.get('name', name_hosts),
                'data_bases': out_data_bases,
            }
            # Каждую базу данных обраатываем отдельно
            for db in data_bases:
                try:
                    login = db.get('user', 'default')
                    db['user'] = login

                    pswd = db.get('pswd', '')
                    db['pswd'] = ''

                    db_name = db.get('name', 'default')
                    db['name'] = 'default'

                    db_tables = db.get('tables', '')
                    db['tables'] = ''

                    data_base_names = storage_names.get(db_name, {})
                    data_base_rels = storage_rels.get(db_name, {})

                    out_data_base = {
                        'name': db_name,
                        '_name': data_base_names.get('_', db_name)
                    }

                    if metadata_settings.DataBaseTypes(
                            type) == metadata_settings.DataBaseTypes.psql:
                        # Постгрес в кликхаус

                        data_scheme = await psql.get_tables_from_database(
                            host=ip,
                            port=port,
                            user=login,
                            password=pswd,
                            database=db_name,
                            table_filter=db_tables)
                        out_tables = psql_cl_convertations.main_psql_ycl_json_converter(
                            metadata_psql=data_scheme,
                            transform_add={
                                'conv_name': data_base_names,
                                'conv_dict': data_base_rels
                            })

                    if metadata_settings.DataBaseTypes(
                            type) == metadata_settings.DataBaseTypes.ycl:
                        # Кликхаус в кликхаус

                        data_scheme = await ycl.get_tables_from_database(
                            host=ip,
                            port=port,
                            user=login,
                            password=pswd,
                            database=db_name,
                            table_filter=db_tables)
                        out_tables = ycl_ycl_convertations.main_ycl_ycl_json_converter(
                            metadata_ycl=data_scheme,
                            transform_add={
                                'conv_name': data_base_names,
                                'conv_dict': data_base_rels
                            })

                    out_data_base['tables'] = out_tables
                    out_data_bases.append(out_data_base)

                except Exception as exp:
                    out_data_bases.append({
                        'invalid_data': db,
                        'error': str(exp)
                    })

            # Массив ответов
            array_out.append(out_schema)

        except Exception as exp:
            array_out.append({'invalid_data': schema, 'error': str(exp)})

    return array_out
Example #10
0
"""
Черновик
"""
from json import dump as jsd, load as jsl, dumps as str_jsd
from pathlib import Path

DEFAULT_JSON_METADATA_PATH = Path().cwd() / Path(
    '../documents/front_back_interaction/json_sdmx_ex2.json')

with open(DEFAULT_JSON_METADATA_PATH, 'r') as fobj:
    data_settings_json = jsl(fobj)

print(data_settings_json)

with open(DEFAULT_JSON_METADATA_PATH, 'w') as fobj:
    jsd(data_settings_json, fobj, indent=4)