import tempfile
import contextlib
import shutil
from pathlib import Path
from ..gold_io import read_json_file
from ..example import annotations2doc
from ..example import _fix_legacy_dict_data, _parse_example_dict_data
from ...util import load_model
from ...lang.xx import MultiLanguage

@contextlib.contextmanager
def make_tempdir():
    d = Path(tempfile.mkdtemp())
    yield d
    shutil.rmtree(str(d))


def json2docs(
    input_data,
    model=None,
    **kwargs
):
    nlp = load_model(model) if model is not None else MultiLanguage()
    docs = []
    with make_tempdir() as tmp_dir:
        json_path = Path(tmp_dir) / "data.json"
        with (json_path).open("w") as file_:
            file_.write(input_data)
        for json_annot in read_json_file(json_path):
            example_dict = _fix_legacy_dict_data(json_annot)
            tok_dict, doc_dict = _parse_example_dict_data(example_dict)
            doc = annotations2doc(
                nlp.vocab,
                tok_dict,
                doc_dict
            )
            docs.append(doc)
    return docs