from io import BytesIO
import numpy
import imagehash
from PIL import Image


def create_vector(file: BytesIO) -> bytes:
    image = Image.open(file)
    hash = imagehash.average_hash(image)

    _vector = []

    for h in hash.hash:
        _vector.extend(h)

    vector = bytes(
        numpy.packbits(
            [
                int(v)
                for v in _vector
            ],
            axis=-1
        ).tolist()
    )

    return vector

import settings
from pymilvus import (
    connections,
    Collection,
    FieldSchema,
    CollectionSchema,
    DataType,
)
from loggers import logger

connections.connect(
    host=settings.MILVUS_CONFIG.host,
    port=settings.MILVUS_CONFIG.port,
)

schema = CollectionSchema([
    FieldSchema("id", DataType.INT64, is_primary=True, auto_id=True),
    FieldSchema("meta_id", DataType.INT64),
    FieldSchema("company_id", DataType.INT64),
    FieldSchema("image_vector", dtype=DataType.BINARY_VECTOR, dim=64)
])

# 集合不存在，則會(huì)自動(dòng)創(chuàng)建集合；已存在，不會(huì)重復(fù)創(chuàng)建
collection = Collection(settings.MILVUS_CONFIG.collection.name, schema)

class TestVector(unittest.TestCase):
    def test_insert_vector(self):
        """
        插入 ahash 到 milvus
        python -m unittest testing.test_milvus.TestVector.test_insert_vector
        """

        oss_file_path = 'image_hash/testing/WechatIMG193.jpeg'

        file = BytesIO(bucket.get_object(oss_file_path).read())
        vector = create_vector(file)
        m_pk = insert_vector(vector, meta_id=2, company_id=1)
        logger.debug(f'milvus pk: {m_pk}')

def test_search(self):
    """
    批量調(diào)用后端接口入庫(kù)
    python -m unittest testing.test_milvus.TestVector.test_search
    """
    oss_file_path = 'image_hash/testing/WechatIMG193.jpeg'

    file = BytesIO(open(BASE_DIR/'testing'/'resource'/'WechatIMG193.jpeg','rb').read())
    vector = create_vector(file)

    logger.debug(vector)

    rows: list[dict[str, Any]] = collection.search(
        data=[vector],
        param={"metric_type": 'L2', "params": {"nprobe": 32}},
        anns_field='image_vector',
        output_fields=['id', 'meta_id', 'company_id'],
        limit=10,
    )
    logger.debug(rows)
    logger.debug(type(rows))