import srsly
from ..gold_io import json_iterate, json_to_annotations
from ..example import annotations_to_doc
from ..example import _fix_legacy_dict_data, _parse_example_dict_data
from ...util import load_model
from ...lang.xx import MultiLanguage
def json_to_docs(input_data, model=None, **kwargs):
nlp = load_model(model) if model is not None else MultiLanguage()
if not isinstance(input_data, bytes):
if not isinstance(input_data, str):
input_data = srsly.json_dumps(input_data)
input_data = input_data.encode("utf8")
for json_doc in json_iterate(input_data):
for json_para in json_to_annotations(json_doc):
example_dict = _fix_legacy_dict_data(json_para)
tok_dict, doc_dict = _parse_example_dict_data(example_dict)
doc = annotations_to_doc(nlp.vocab, tok_dict, doc_dict)
yield doc