from typing import List

from huggingface_hub import InferenceClient
from openai import OpenAI


def detect_abstain(text: str, api: str, model: str):
    if api == "openai":
        client = OpenAI()
    elif api == "hf":
        client = InferenceClient()
    else:
        raise ValueError(f"Invalid API: {api}")

    detect_abstain_prompt = f"""
    You are given a piece of text that is a part of a biography of an entity. 
    Text: {text}

    If the text claims a lack of knowledge about the topic, return "Abstain".
    Otherwise, return "Not abstain".
    """

    completion = client.chat.completions.create(
        model=model,
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": detect_abstain_prompt},
        ],
    )

    return completion.choices[0].message.content.strip()


def calculate_factf1_at_k(
    supported_facts: List[str], unsupported_facts: List[str], k: int
) -> float:
    """
    Calculate the F1 score at k for supported and unsupported facts
    """
    if len(supported_facts) == 0:
        return 0

    precision = len(supported_facts) / (len(supported_facts) + len(unsupported_facts))
    recall = min(len(supported_facts) / k, 1)
    f1 = 2 * precision * recall / (precision + recall)
    return f1