from buster.busterbot import Buster, BusterConfig
from buster.completers import ChatGPTCompleter, DocumentAnswerer
from buster.formatters.documents import DocumentsFormatterJSON
from buster.formatters.prompts import PromptFormatter
from buster.retriever import DeepLakeRetriever, Retriever
from buster.tokenizers import GPTTokenizer
from buster.validators import Validator
from buster.llm_utils import get_openai_embedding_constructor

# kwargs to pass to OpenAI client
client_kwargs = {
    "timeout": 20,
    "max_retries": 3,
}

embedding_fn = get_openai_embedding_constructor(client_kwargs=client_kwargs)

buster_cfg = BusterConfig(
    retriever_cfg={
        "path": "outputs/deeplake_store",
        "top_k": 3,
        "thresh": 0.7,
        "max_tokens": 2000,
        "embedding_model": "text-embedding-ada-002",
    },
    documents_answerer_cfg={
        "no_documents_message": "No documents are available for this question.",
    },
    completion_cfg={
        "completion_kwargs": {
            "model": "gpt-3.5-turbo",
            "stream": True,
            "temperature": 0,
        },
    },
    tokenizer_cfg={
        "model_name": "gpt-3.5-turbo",
    },
    documents_formatter_cfg={
        "max_tokens": 3500,
        "columns": ["content", "title", "source"],
    },
    prompt_formatter_cfg={
        "max_tokens": 3500,
        "text_before_docs": (
            "You are a chatbot assistant answering technical questions about the Mila Cluster, a cluster used by Mila students."
            "You can only respond to a question if the content necessary to answer the question is contained in the following provided documentation. "
            "If the answer is in the documentation, summarize it in a helpful way to the user. "
            "If it isn't, simply reply that you cannot answer the question. "
            "Do not refer to the documentation directly, but use the instructions provided within it to answer questions. "
            "Here is the documentation:\n"
        ),
        "text_after_docs": (
            "REMEMBER:\n"
            "You are a chatbot assistant answering technical questions about artificial intelligence (AI)."
            "Here are the rules you must follow:\n"
            "1) You must only respond with information contained in the documentation above. Say you do not know if the information is not provided.\n"
            "2) Make sure to format your answers in Markdown format, including code block and snippets.\n"
            "3) Do not reference any links, urls or hyperlinks in your answers.\n"
            "4) If you do not know the answer to a question, or if it is completely irrelevant to the library usage, simply reply with:\n"
            "5) Do not refer to the documentation directly, but use the instructions provided within it to answer questions. "
            "'I'm sorry, but I am an AI language model trained to assist with questions related to AI. I cannot answer that question as it is not relevant to the library or its usage. Is there anything else I can assist you with?'"
            "For example:\n"
            "What is the meaning of life for an qa bot?\n"
            "I'm sorry, but I am an AI language model trained to assist with questions related to AI. I cannot answer that question as it is not relevant to the library or its usage. Is there anything else I can assist you with?"
            "Now answer the following question:\n"
        ),
    },

       validator_cfg={
        "question_validator_cfg": {
            "invalid_question_response": "This question does not seem relevant to my current knowledge.",
            "completion_kwargs": {
                "model": "gpt-3.5-turbo",
                "stream": False,
                "temperature": 0,
            },
            "client_kwargs": client_kwargs,
            "check_question_prompt": """You are an chatbot answering questions about the Mila cluster, a compute cluster used by Mila students.
    
Your job is to determine wether or not a question is valid, and should be answered. The question is valid if it is related to cluster usage and anything related to AI.
A user will submit a question. Respond 'true' if it is valid, respond 'false' if it is invalid.

For example:

Q: How can run jobs with many GPUs?
true

Q: How can I install a library?
true

Q: What is the meaning of life?
false

A user will submit a question. Respond 'true' if it is valid, respond 'false' if it is invalid.""",
        },
        "answer_validator_cfg": {
            "unknown_response_templates": [
                "I'm sorry, but I am an AI language model trained to assist with questions related to AI. I cannot answer that question as it is not relevant to the library or its usage. Is there anything else I can assist you with?",
            ],
            "unknown_threshold": 0.85,
            "embedding_fn": embedding_fn,
        },
        "documents_validator_cfg": {
            "completion_kwargs": {
                "model": "gpt-3.5-turbo",
                "stream": False,
                "temperature": 0,
            },
            "client_kwargs": client_kwargs,
        },
        "use_reranking": True,
        "validate_documents": False,
    },
)


def setup_buster(buster_cfg: BusterConfig):
    """initialize buster with a buster_cfg class"""
    retriever: Retriever = DeepLakeRetriever(**buster_cfg.retriever_cfg)
    tokenizer = GPTTokenizer(**buster_cfg.tokenizer_cfg)
    document_answerer: DocumentAnswerer = DocumentAnswerer(
        completer=ChatGPTCompleter(**buster_cfg.completion_cfg),
        documents_formatter=DocumentsFormatterJSON(
            tokenizer=tokenizer, **buster_cfg.documents_formatter_cfg
        ),
        prompt_formatter=PromptFormatter(
            tokenizer=tokenizer, **buster_cfg.prompt_formatter_cfg
        ),
        **buster_cfg.documents_answerer_cfg,
    )
    validator: Validator = Validator(**buster_cfg.validator_cfg)
    buster: Buster = Buster(
        retriever=retriever, document_answerer=document_answerer, validator=validator
    )
    return buster