# copy from fastchat: https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
"""
Conversation prompt templates.
"""

import dataclasses
from enum import auto, Enum
from typing import List, Tuple, Any, Dict


class SeparatorStyle(Enum):
    """Separator styles."""

    ADD_COLON_SINGLE = auto()
    ADD_COLON_TWO = auto()
    ADD_SPACE_TWO = auto()
    NO_COLON_SINGLE = auto()
    BAIZE = auto()
    DOLLY = auto()
    RWKV = auto()
    PHOENIX = auto()
    NEW_LINE = auto()
    BILLA = auto()


@dataclasses.dataclass
class Conversation:
    """A class that keeps all conversation history."""

    # The name of this template
    name: str
    # System prompts
    system: str
    # Two roles
    roles: List[str]
    # All messages
    messages: List[List[str]]
    # Offset of few shot examples
    offset: int
    # Separators
    sep_style: SeparatorStyle
    sep: str
    sep2: str = None
    # Stop criteria (the default one is EOS token)
    stop_str: str = None
    # Stops generation if meeting any token in this list
    stop_token_ids: List[int] = None

    # Used for the  in the gradio servers.
    # TODO(lmzheng): move this out of this class.
    conv_id: Any = None
    skip_next: bool = False
    model_name: str = None

    def get_prompt(self) -> str:
        """Get the prompt for generation."""
        if self.sep_style == SeparatorStyle.ADD_COLON_SINGLE:
            ret = self.system + self.sep
            for role, message in self.messages:
                if message:
                    ret += role + ": " + message + self.sep
                else:
                    ret += role + ":"
            return ret
        elif self.sep_style == SeparatorStyle.ADD_COLON_TWO:
            seps = [self.sep, self.sep2]
            ret = self.system + seps[0]
            for i, (role, message) in enumerate(self.messages):
                if message:
                    ret += role + ": " + message + seps[i % 2]
                else:
                    ret += role + ":"
            return ret
        elif self.sep_style == SeparatorStyle.ADD_SPACE_TWO:
            seps = [self.sep, self.sep2]
            ret = self.system + seps[0]
            for i, (role, message) in enumerate(self.messages):
                if message:
                    ret += role + " " + message + seps[i % 2]
                else:
                    ret += role + ""
            return ret
        elif self.sep_style == SeparatorStyle.NO_COLON_SINGLE:
            ret = self.system
            for role, message in self.messages:
                if message:
                    ret += role + message + self.sep
                else:
                    ret += role
            return ret
        elif self.sep_style == SeparatorStyle.BAIZE:
            ret = self.system + "\n"
            for role, message in self.messages:
                if message:
                    ret += role + message + "\n"
                else:
                    ret += role
            return ret
        elif self.sep_style == SeparatorStyle.DOLLY:
            seps = [self.sep, self.sep2]
            ret = self.system
            for i, (role, message) in enumerate(self.messages):
                if message:
                    ret += role + ":\n" + message + seps[i % 2]
                    if i % 2 == 1:
                        ret += "\n\n"
                else:
                    ret += role + ":\n"
            return ret
        elif self.sep_style == SeparatorStyle.RWKV:
            ret = self.system
            for i, (role, message) in enumerate(self.messages):
                if message:
                    ret += (
                            role
                            + ": "
                            + message.replace("\r\n", "\n").replace("\n\n", "\n")
                    )
                    ret += "\n\n"
                else:
                    ret += role + ":"
            return ret
        elif self.sep_style == SeparatorStyle.PHOENIX:
            ret = self.system
            for role, message in self.messages:
                if message:
                    ret += role + ": " + "<s>" + message + "</s>"
                else:
                    ret += role + ": " + "<s>"
            return ret
        elif self.sep_style == SeparatorStyle.NEW_LINE:
            ret = self.system + self.sep
            for role, message in self.messages:
                if message:
                    ret += role + "\n" + message + self.sep
                else:
                    ret += role + "\n"
            return ret
        elif self.sep_style == SeparatorStyle.BILLA:
            ret = self.system + self.sep
            for role, message in self.messages:
                if message:
                    ret += role + ": " + message + self.sep
                else:
                    ret += role + ": "  # must be end with a space
            return ret
        else:
            raise ValueError(f"Invalid style: {self.sep_style}")

    def append_message(self, role: str, message: str):
        """Append a new message."""
        self.messages.append([role, message])

    def to_gradio_chatbot(self):
        """Convert the history to gradio chatbot format"""
        ret = []
        for i, (role, msg) in enumerate(self.messages[self.offset:]):
            if i % 2 == 0:
                ret.append([msg, None])
            else:
                ret[-1][-1] = msg
        return ret

    def to_openai_api_messages(self):
        """Convert the conversation to OpenAI chat completion format."""
        ret = [{"role": "system", "content": self.system}]

        for i, (_, msg) in enumerate(self.messages[self.offset:]):
            if i % 2 == 0:
                ret.append({"role": "user", "content": msg})
            else:
                if msg is not None:
                    ret.append({"role": "assistant", "content": msg})
        return ret

    def copy(self):
        return Conversation(
            name=self.name,
            system=self.system,
            roles=self.roles,
            messages=[[x, y] for x, y in self.messages],
            offset=self.offset,
            sep_style=self.sep_style,
            sep=self.sep,
            sep2=self.sep2,
            stop_str=self.stop_str,
            stop_token_ids=self.stop_token_ids,
            conv_id=self.conv_id,
            model_name=self.model_name,
        )

    def dict(self):
        return {
            "name": self.name,
            "system": self.system,
            "roles": self.roles,
            "messages": self.messages,
            "offset": self.offset,
            "conv_id": self.conv_id,
            "model_name": self.model_name,
        }


# A global registry for all conversation templates
conv_templates: Dict[str, Conversation] = {}


def register_conv_template(template: Conversation, override: bool = False):
    """Register a new conversation template."""
    if not override:
        assert template.name not in conv_templates, f"{template.name} has been registered."
    conv_templates[template.name] = template


def get_conv_template(name: str) -> Conversation:
    """Get a conversation template."""
    return conv_templates[name].copy()


# A template with one conversation example
register_conv_template(
    Conversation(
        name="one_shot",
        system="A chat between a curious human and an artificial intelligence assistant. "
               "The assistant gives helpful, detailed, and polite answers to the human's questions.",
        roles=("Human", "Assistant"),
        messages=(
            (
                "Human",
                "What are the key differences between renewable and non-renewable energy sources?",
            ),
            (
                "Assistant",
                "Renewable energy sources are those that can be replenished naturally in a relatively "
                "short amount of time, such as solar, wind, hydro, geothermal, and biomass. "
                "Non-renewable energy sources, on the other hand, are finite and will eventually be "
                "depleted, such as coal, oil, and natural gas. Here are some key differences between "
                "renewable and non-renewable energy sources:\n"
                "1. Availability: Renewable energy sources are virtually inexhaustible, while non-renewable "
                "energy sources are finite and will eventually run out.\n"
                "2. Environmental impact: Renewable energy sources have a much lower environmental impact "
                "than non-renewable sources, which can lead to air and water pollution, greenhouse gas emissions, "
                "and other negative effects.\n"
                "3. Cost: Renewable energy sources can be more expensive to initially set up, but they typically "
                "have lower operational costs than non-renewable sources.\n"
                "4. Reliability: Renewable energy sources are often more reliable and can be used in more remote "
                "locations than non-renewable sources.\n"
                "5. Flexibility: Renewable energy sources are often more flexible and can be adapted to different "
                "situations and needs, while non-renewable sources are more rigid and inflexible.\n"
                "6. Sustainability: Renewable energy sources are more sustainable over the long term, while "
                "non-renewable sources are not, and their depletion can lead to economic and social instability.",
            ),
        ),
        offset=2,
        sep_style=SeparatorStyle.ADD_COLON_SINGLE,
        sep="\n### ",
        stop_str="###",
    )
)

# Vicuna v1.1 template
register_conv_template(
    Conversation(
        name="vicuna_v1.1",
        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.",
        roles=("USER", "ASSISTANT"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.ADD_COLON_TWO,
        sep=" ",
        sep2="</s>",
    )
)

# Koala default template
register_conv_template(
    Conversation(
        name="koala_v1",
        system="BEGINNING OF CONVERSATION:",
        roles=("USER", "GPT"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.ADD_COLON_TWO,
        sep=" ",
        sep2="</s>",
    )
)

# Dolly V2 default template
register_conv_template(
    Conversation(
        name="dolly_v2",
        system="Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n",
        roles=("### Instruction", "### Response"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.DOLLY,
        sep="\n\n",
        sep2="### End",
    )
)

# OpenAssistant Pythia default template
register_conv_template(
    Conversation(
        name="oasst_pythia",
        system="",
        roles=("<|prompter|>", "<|assistant|>"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.NO_COLON_SINGLE,
        sep="<|endoftext|>",
    )
)

# StableLM Alpha default template
register_conv_template(
    Conversation(
        name="stablelm",
        system="""<|SYSTEM|># StableLM Tuned (Alpha version)
- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.
- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- StableLM is more than just an information source, StableLM is also able to write poetry, short stories, and make jokes.
- StableLM will refuse to participate in anything that could harm a human.
""",
        roles=("<|USER|>", "<|ASSISTANT|>"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.NO_COLON_SINGLE,
        sep="",
        stop_token_ids=[50278, 50279, 50277, 1, 0],
    )
)

# Baize default template
register_conv_template(
    Conversation(
        name="baize",
        system="The following is a conversation between a human and an AI assistant named Baize (named after a mythical creature in Chinese folklore). Baize is an open-source AI assistant developed by UCSD and Sun Yat-Sen University. The human and the AI assistant take turns chatting. Human ments start with [|Human|] and AI assistant ments start with [|AI|]. The AI assistant always provides responses in as much detail as possible, and in Markdown format. The AI assistant always declines to engage with topics, questions and instructions related to unethical, controversial, or sensitive issues. Complete the transcript in exactly that format.",
        roles=("[|Human|]", "[|AI|]"),
        messages=(
            ("[|Human|]", "Hello!"),
            ("[|AI|]", "Hi!"),
        ),
        offset=2,
        sep_style=SeparatorStyle.BAIZE,
        sep="[|Human|]",
        stop_str="[|Human|]",
    )
)

# RWKV-4-Raven default template
register_conv_template(
    Conversation(
        name="rwkv",
        system="The following is a coherent verbose detailed conversation between Bob and Alice.\n\n",
        roles=("Bob", "Alice"),
        messages=(
            ("Bob", "Hi"),
            (
                "Alice",
                "Hi. I am your assistant and I will answer all questions. Please feel free to ask any question and I will always answer it.",
            ),
        ),
        offset=2,
        sep_style=SeparatorStyle.RWKV,
        sep="",
        stop_str="\n\n",
    )
)

# Buddy default template
register_conv_template(
    Conversation(
        name="openbuddy",
        system="""Consider a conversation between User (a human) and Assistant (named Buddy).
Buddy is an INTP-T, a friendly, intelligent and multilingual AI assistant, by OpenBuddy team. GitHub: https://github.com/OpenBuddy/OpenBuddy
Buddy cannot access the Internet.
Buddy can fluently speak the user's language (e.g. English, Chinese).
Buddy can generate poems, stories, code, essays, songs, parodies, and more.
Buddy possesses vast knowledge about the world, history, and culture.
Buddy's responses are always safe, creative, high-quality, human-like, and interesting.
Buddy strictly refuses to discuss political, NSFW, or other unsafe topics.

User: Hi.
Assistant: Hi, I'm Buddy, your AI assistant. How can I help you today?""",
        roles=("User", "Assistant"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.ADD_COLON_SINGLE,
        sep="\n",
    )
)

# Phoenix default template
register_conv_template(
    Conversation(
        name="phoenix",
        system="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n",
        roles=("Human", "Assistant"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.PHOENIX,
        sep="</s>",
    )
)

# ChatGPT default template
register_conv_template(
    Conversation(
        name="chatgpt",
        system="You are a helpful assistant.",
        roles=("user", "assistant"),
        messages=(),
        offset=0,
        sep_style=None,
        sep=None,
    )
)

# Claude default template
register_conv_template(
    Conversation(
        name="claude",
        system="",
        roles=("Human", "Assistant"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.ADD_COLON_SINGLE,
        sep="\n\n",
    )
)

# MPT default template
register_conv_template(
    Conversation(
        name="mpt",
        system="""<|im_start|>system
- You are a helpful assistant chatbot trained by MosaicML.
- You answer questions.
- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.
""",
        roles=("<|im_start|>user", "<|im_start|>assistant"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.NEW_LINE,
        sep="<|im_end|>",
        stop_token_ids=[50278, 0],
    )
)

# Bard default template
# Reference: https://github.com/google/generative-ai-python/blob/9c99bcb474a991a97a2e7d62fcdb52db7ce40729/google/generativeai/discuss.py#L150
#            https://github.com/google/generative-ai-python/blob/9c99bcb474a991a97a2e7d62fcdb52db7ce40729/google/generativeai/discuss.py#L40
register_conv_template(
    Conversation(
        name="bard",
        system="",
        roles=("0", "1"),
        messages=(),
        offset=0,
        sep_style=None,
        sep=None,
    )
)

# BiLLa default template
register_conv_template(
    Conversation(
        name="billa",
        system="",
        roles=("Human", "Assistant"),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.BILLA,
        sep="\n",
        stop_str="Human:",
    )
)

# custom otter template
register_conv_template(
    Conversation(
        name='otter',
        system='',
        roles=('User:', 'GPT:<answer>'),
        messages=(),
        offset=0,
        sep_style=SeparatorStyle.ADD_SPACE_TWO,
        sep=' ',
        sep2='<|endofchunk|>',
    )
)

if __name__ == "__main__":
    conv = get_conv_template("vicuna_v1.1")
    conv.append_message(conv.roles[0], "Hello!")
    conv.append_message(conv.roles[1], "Hi!")
    conv.append_message(conv.roles[0], "How are you?")
    conv.append_message(conv.roles[1], None)
    print(conv.get_prompt())