# Copyright (c) OpenMMLab. All rights reserved.
from mmengine import Registry

MODELS = Registry('model', locations=['lmdeploy.model'])


@MODELS.register_module(name='llama')
class BaseModel:
    """Base model."""

    def __init__(self):
        self.session_len = 2048
        self.top_p = 0.8
        self.top_k = None
        self.temperature = 0.8
        self.repetition_penalty = 1.0

    @staticmethod
    def get_prompt(prompt, sequence_start=True):
        """Return the prompt that is concatenated with other elements in the
        chat template.

        Args:
            prompt (str): user's input prompt
            sequence_start (bool): indicator for the first round chat of a
               session sequence
        Returns:
            str: the concatenated prompt
        """
        return prompt

    @property
    def stop_words(self):
        """Return the stop-words' token ids."""
        return None


@MODELS.register_module(name='vicuna')
class Vicuna(BaseModel):
    """Chat template of vicuna model."""

    def __init__(self):
        super().__init__()
        self.system = """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. """  # noqa: E501
        self.user = 'USER'
        self.assistant = 'ASSISTANT'

    def get_prompt(self, prompt, sequence_start=True):
        """Return the prompt that is concatenated with other elements in the
        chat template.

        Args:
            prompt (str): user's input prompt
            sequence_start (bool): indicator for the first round chat of a
               session sequence
        Returns:
            str: the concatenated prompt
        """
        if sequence_start:
            return f'{self.system} {self.user}: {prompt} {self.assistant}:'
        else:
            return f'</s>{self.user}: {prompt} {self.assistant}:'


@MODELS.register_module(name='internlm')
class InternLM(BaseModel):

    def __init__(self):
        super().__init__()


@MODELS.register_module(name='internlm-chat-7b')
class InternLMChat7B(BaseModel):
    """Chat template of InternLM model."""

    def __init__(self):
        super().__init__()
        self.system = ''
        self.user = '<|User|>'
        self.eoh = '<eoh>'
        self.eoa = '<eoa>'
        self.assistant = '<|Bot|>'

    def get_prompt(self, prompt, sequence_start=True):
        """Return the prompt that is concatenated with other elements in the
        chat template.

        Args:
            prompt (str): user's input prompt
            sequence_start (bool): indicator for the first round chat of a
               session sequence
        Returns:
            str: the concatenated prompt
        """
        if sequence_start:
            return f'<BOS>{self.user}:{prompt}{self.eoh}\n' \
                   f'{self.assistant}:'
        else:
            return f'\n{self.user}:{prompt}{self.eoh}\n' \
                   f'{self.assistant}:'

    @property
    def stop_words(self):
        """Return the stop-words' token ids."""
        return [103027, 103028]


@MODELS.register_module(name='internlm-chat-7b-8k')
class InternLMChat7B8K(InternLMChat7B):

    def __init__(self):
        super(InternLMChat7B8K, self).__init__()
        self.session_len = 8192


@MODELS.register_module(name='puyu')
class Puyu(BaseModel):
    """Chat template of puyu model.This is only for internal usage in Shanghai
    AI Laboratory."""

    def __init__(self):
        super().__init__()
        self.system = """meta instruction
You are an AI assistant whose name is InternLM (书生·浦语).
- 书生·浦语 is a conversational language model that is developed by Shanghai AI Laboratory (上海人工智能实验室). It is designed to be helpful, honest, and harmless.
- 书生·浦语 can understand and communicate fluently in the language chosen by the user such as English and 中文.
conversation"""  # noqa: E501
        self.user = '<|Human|>'
        self.eoh = 'െ'
        self.assistant = '<|Assistant|>'

    def get_prompt(self, prompt, sequence_start=True):
        if sequence_start:
            return f'<BOS>{self.system}\n' \
                   f'{self.user}:{prompt}{self.eoh}\n' \
                   f'{self.assistant}:'
        else:
            return f'\n{self.user}:{prompt}{self.eoh}\n{self.assistant}:'

    @property
    def stop_words(self):
        """Return the stop-words' token ids."""
        return [45623]


@MODELS.register_module(name='baichuan-7b')
class Baichuan7B(BaseModel):

    def __init__(self):
        super().__init__()
        self.repetition_penalty = 1.1


@MODELS.register_module(name='llama2')
class Llama2(BaseModel):
    """Chat template of LLaMA2 model."""

    def __init__(self):
        super().__init__()
        B_INST, E_INST = '[INST]', '[/INST]'
        B_SYS, E_SYS = '<<SYS>>\n', '\n<</SYS>>\n\n'

        DEFAULT_SYSTEM_PROMPT = """\
You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information."""  # noqa: E501

        self.b_inst = B_INST
        self.e_inst = E_INST
        self.b_sys = B_SYS
        self.e_sys = E_SYS
        self.default_sys_prompt = DEFAULT_SYSTEM_PROMPT
        self.session_len = 4096

    def get_prompt(self, prompt, sequence_start=True):
        """Return the prompt that is concatenated with other elements in the
        chat template.

        Args:
            prompt (str): user's input prompt
            sequence_start (bool): indicator for the first round chat of a
               session sequence
        Returns:
            str: the concatenated prompt
        """
        if sequence_start:
            return f'<BOS>{self.b_inst} ' \
                   f'{self.b_sys} {self.default_sys_prompt} {self.e_sys}' \
                   f'{prompt} {self.e_inst} '

        return f'{self.b_inst} {prompt} {self.e_inst} '


def main(model_name: str = 'test'):
    assert model_name in MODELS.module_dict.keys(), \
        f"'{model_name}' is not supported. " \
        f'The supported models are: {MODELS.module_dict.keys()}'
    model = MODELS.get(model_name)()
    prompt = model.get_prompt(prompt='hi')
    print(prompt)
    print(f'session_len: {model.session_len}')


if __name__ == '__main__':
    import fire
    fire.Fire(main)