from pydantic import BaseModel
from typing import List

from app.models.check_type import CheckType
from app.services.text_cleaner import clean_text

from app.ml_models.classifier import Classifier
from app.ml_models.gemini_moderator import gemini_for_cleansing
from app.ml_models.gemini_moderator import gemini_for_misinfo_detection


classifier = Classifier()
classifier.initialize_classifier()


class ModerationRequest(BaseModel):
    content: str
    checkFor: List[CheckType]
    threshold: float = 0.6

    def correct_typos(self) -> None:
        self.content = clean_text(self.content)

    def classify_moderation(self) -> None:
        result = classifier.predict_nsfw(self.content)
        return result

    def cleanse_content(self) -> str:
        return gemini_for_cleansing.cleanse(self.content)

    def identify_misinfo(self) -> str:
        return gemini_for_misinfo_detection.check_misinfo(self.content)