How to use the pyignite.datatypes.StructArray function in pyignite

query_struct = Query(
        OP_QUERY_SQL_FIELDS_CURSOR_GET_PAGE,
        [
            ('cursor', Long),
        ],
        query_id=query_id,
    )

    _, send_buffer = query_struct.from_python({
        'cursor': cursor,
    })

    connection.send(send_buffer)

    response_struct = Response([
        ('data', StructArray([
            ('field_{}'.format(i), AnyDataObject) for i in range(field_count)
        ])),
        ('more', Bool),
    ])
    response_class, recv_buffer = response_struct.parse(connection)
    response = response_class.from_buffer_copy(recv_buffer)

    result = APIResult(response)
    if result.status != 0:
        return result
    value = response_struct.to_python(response)
    result.value = {
        'data': [],
        'more': value['more']
    }
    for row_dict in value['data']:

])

body_struct = Struct([
    ('type_id', Int),
    ('type_name', String),
    ('affinity_key_field', String),
    ('binary_fields', binary_fields_struct),
    ('is_enum', Bool),
])

enum_struct = StructArray([
    ('literal', String),
    ('type_id', Int),
])

schema_fields_struct = StructArray([
    ('schema_field_id', Int),
])

schema_struct = StructArray([
    ('schema_id', Int),
    ('schema_fields', schema_fields_struct),
])

('type_name', String),
    ('affinity_key_field', String),
    ('binary_fields', binary_fields_struct),
    ('is_enum', Bool),
])

enum_struct = StructArray([
    ('literal', String),
    ('type_id', Int),
])

schema_fields_struct = StructArray([
    ('schema_field_id', Int),
])

schema_struct = StructArray([
    ('schema_id', Int),
    ('schema_fields', schema_fields_struct),
])

# Licensed under the GridGain Community Edition License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.gridgain.com/products/software/community-edition/gridgain-community-edition-license
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from pyignite.datatypes import Int, Bool, String, Struct, StructArray


binary_fields_struct = StructArray([
    ('field_name', String),
    ('type_id', Int),
    ('field_id', Int),
])

body_struct = Struct([
    ('type_id', Int),
    ('type_name', String),
    ('affinity_key_field', String),
    ('binary_fields', binary_fields_struct),
    ('is_enum', Bool),
])

enum_struct = StructArray([
    ('literal', String),
    ('type_id', Int),

binary_fields_struct = StructArray([
    ('field_name', String),
    ('type_id', Int),
    ('field_id', Int),
])

body_struct = Struct([
    ('type_id', Int),
    ('type_name', String),
    ('affinity_key_field', String),
    ('binary_fields', binary_fields_struct),
    ('is_enum', Bool),
])

enum_struct = StructArray([
    ('literal', String),
    ('type_id', Int),
])

schema_fields_struct = StructArray([
    ('schema_field_id', Int),
])

schema_struct = StructArray([
    ('schema_id', Int),
    ('schema_fields', schema_fields_struct),
])