from typing import Any, Dict, List
from transformers import pipeline


class EndpointHandler:
    def __init__(self, path: str = ""):
        self.pipe = pipeline(
            task="token-classification",
            model=path,
            tokenizer=path,
            aggregation_strategy="simple",
        )

    def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
        text = data.get("inputs")
        if not text or not isinstance(text, str):
            return {"error": "Missing required field: inputs"}

        outputs = self.pipe(text)

        keywords: List[str] = []
        seen = set()

        for item in outputs:
            phrase = item.get("word", "").strip()
            if not phrase:
                continue

            normalized = phrase.lower()
            if normalized not in seen:
                seen.add(normalized)
                keywords.append(phrase)

        return {"keywords": keywords}