import srsly from ..gold_io import json_iterate, json_to_annotations 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 def json2docs(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") docs = [] 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 = annotations2doc(nlp.vocab, tok_dict, doc_dict) docs.append(doc) return docs