# Copyright 2021 Zilliz. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# 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.

import os
from typing import List

import zhipuai
from towhee.operator.base import PyOperator


class ZhipuaiChat(PyOperator):
    '''Wrapper of OpenAI Chat API'''
    def __init__(self,
                 model_name: str = 'chatglm_std',
                 api_key: str = None,
                 **kwargs
                 ):
        zhipuai.api_key = api_key or os.getenv("ZHIPUAI_API_KEY")
        self._model = model_name
        self.kwargs = kwargs

    def __call__(self, messages: List[dict]):
        messages = self.parse_inputs(messages)

        self.stream = self.kwargs.pop('stream', False)

        if self.stream:
            response = zhipuai.model_api.sse_invoke(
                model=self._model,
                prompt=messages,
                **self.kwargs
            )
            return self.stream_output(response)
        else:
            response = zhipuai.model_api.invoke(
                model=self._model,
                prompt=messages,
                **self.kwargs
            )
            return response

    def parse_inputs(self, messages: List[dict]):
        assert isinstance(messages, list), \
            'Inputs must be a list of dictionaries with keys from ["question", "answer"].'
        new_messages = []
        for m in messages:
            if ('role' and 'content' in m) and (m['role'] in ['assistant', 'user']):
                new_messages.append(m)
            else:
                for k, v in m.items():
                    if k == 'question':
                        new_m = {'role': 'user', 'content': v}
                    elif k == 'answer':
                        new_m = {'role': 'assistant', 'content': v}
                    else:
                        raise KeyError('Invalid message key: only accept key value from ["question", "answer"].')
                    new_messages.append(new_m)
        return new_messages

    @staticmethod
    def stream_output(response):
        for x in response.events():
            yield {'event': x.event, 'id': x.id, 'data': x.data, 'meta': x.meta}

    @staticmethod
    def supported_model_names():
        model_list = [
            'chatglm_130b',
            'chatglm_6b'
        ]
        model_list.sort()
        return model_list