"""Hugging Face Inference Endpoints handler.

Deploy this repository as an Inference Endpoint and it serves Dewpoint with no
further code.  Request body:

    {"inputs": "so i said meet at three thirty tuesday what do you think",
     "parameters": {"lang": "en"}}

`inputs` may also be a list of strings.  Optional parameters:
    lang      ISO 639-1 code (default "en")
    single    true to run only the mmBERT-base member
    labels    true to also return per-word punctuation and case labels

Response: [{"text": "..."}] per input (plus "words", "punct", "case" if
labels=true).
"""
import os
import sys

sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from dewpoint import Punctuator, split_words  # noqa: E402


class EndpointHandler:
    def __init__(self, path=""):
        path = path or os.path.dirname(os.path.abspath(__file__))
        self.full = Punctuator(path)
        self._single = None
        self.path = path

    def _model(self, single):
        if not single:
            return self.full
        if self._single is None:
            self._single = Punctuator(self.path, members=["mmbert-base"])
        return self._single

    def __call__(self, data):
        inputs = data.get("inputs", data)
        params = data.get("parameters") or {}
        lang = params.get("lang", "en")
        p = self._model(bool(params.get("single", False)))
        texts = [inputs] if isinstance(inputs, str) else list(inputs)
        out = []
        for t in texts:
            item = {"text": p.restore(t, lang)}
            if params.get("labels"):
                r = p.predict(split_words(t, lang), lang)
                item.update(words=r["words"], punct=r["punct"], case=r["case"])
            out.append(item)
        return out