# import json
# import logging
# from abc import ABC, abstractmethod
#
# import msgpack
# import orjson
#
# from freqtrade.rpc.external_signal.proxy import WebSocketProxy
#
#
# logger = logging.getLogger(__name__)
#
#
# class WebSocketSerializer(ABC):
#     def __init__(self, websocket: WebSocketProxy):
#         self._websocket: WebSocketProxy = websocket
#
#     @abstractmethod
#     def _serialize(self, data):
#         raise NotImplementedError()
#
#     @abstractmethod
#     def _deserialize(self, data):
#         raise NotImplementedError()
#
#     async def send(self, data: bytes):
#         await self._websocket.send(self._serialize(data))
#
#     async def recv(self) -> bytes:
#         data = await self._websocket.recv()
#
#         return self._deserialize(data)
#
#     async def close(self, code: int = 1000):
#         await self._websocket.close(code)
#
# # Going to explore using MsgPack as the serialization,
# # as that might be the best method for sending pandas
# # dataframes over the wire
#
#
# class JSONWebSocketSerializer(WebSocketSerializer):
#     def _serialize(self, data):
#         return json.dumps(data)
#
#     def _deserialize(self, data):
#         return json.loads(data)
#
#
# class ORJSONWebSocketSerializer(WebSocketSerializer):
#     ORJSON_OPTIONS = orjson.OPT_NAIVE_UTC | orjson.OPT_SERIALIZE_NUMPY
#
#     def _serialize(self, data):
#         return orjson.dumps(data, option=self.ORJSON_OPTIONS)
#
#     def _deserialize(self, data):
#         return orjson.loads(data, option=self.ORJSON_OPTIONS)
#
#
# class MsgPackWebSocketSerializer(WebSocketSerializer):
#     def _serialize(self, data):
#         return msgpack.packb(data, use_bin_type=True)
#
#     def _deserialize(self, data):
#         return msgpack.unpackb(data, raw=False)