import io

import cv2
import numpy as np
# import nori2 as nori
import msgpack
from PIL import Image

from concern.config import Configurable, State


# class UnpackMsgpackData(Configurable):
#     mode = State(default='BGR')

#     def __init__(self, cmd={}, **kwargs):
#         self.load_all(**kwargs)
#         self.fetcher = nori.Fetcher()
#         if 'mode' in cmd:
#             self.mode = cmd['mode']

#     def convert_obj(self, obj):
#         if isinstance(obj, dict):
#             ndata = {}
#             for key, value in obj.items():
#                 nkey = key.decode()
#                 if nkey == 'img':
#                     img = Image.open(io.BytesIO(value))
#                     img = np.array(img.convert('RGB'))
#                     if self.mode == 'BGR':
#                         img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
#                     nvalue = img
#                 else:
#                     nvalue = self.convert_obj(value)
#                 ndata[nkey] = nvalue
#             return ndata
#         elif isinstance(obj, list):
#             return [self.convert_obj(item) for item in obj]
#         elif isinstance(obj, bytes):
#             return obj.decode()
#         else:
#             return obj

#     def convert(self, data):
#         obj = msgpack.loads(data, max_str_len=2 ** 31)
#         return self.convert_obj(obj)

#     def __call__(self, data_id, meta=None):
#         if meta is None:
#             meta = {}
#         item = self.convert(self.fetcher.get(data_id))
#         item['data_id'] = data_id
#         meta.update(item)
#         return meta


class TransformMsgpackData(UnpackMsgpackData):
    meta_loader = State(default=None)

    def __init__(self, meta_loader=None, cmd={}, **kwargs):
        super().__init__(cmd=cmd, meta_loader=meta_loader, **kwargs)
        print('transform')
        self.meta_loader = cmd.get('meta_loader', self.meta_loader)

    def __call__(self, data_id, meta):
        item = self.convert(self.fetcher.get(data_id))
        image = item.pop('img').astype(np.float32)
        if self.meta_loader is not None:
            meta['extra'] = item
            data = self.meta_loader.parse_meta(data_id, meta)
        else:
            data = meta
            data.update(**item)
        data.update(image=image, data_id=data_id)
        return data