File size: 2,416 Bytes
d868d2e 3133b5e e7eaeed 3133b5e e7eaeed 3133b5e d868d2e 3133b5e e7eaeed 3133b5e d868d2e 3133b5e d868d2e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
from typing import Dict, Iterable, Optional, Sequence, Type, TypeVar
from pie_datasets import Dataset, DatasetDict, IterableDataset
from pytorch_ie.core import Document
from src.serializer.interface import DocumentSerializer
from src.utils.logging_utils import get_pylogger
log = get_pylogger(__name__)
D = TypeVar("D", bound=Document)
def as_json_lines(file_name: str) -> bool:
if file_name.lower().endswith(".jsonl"):
return True
elif file_name.lower().endswith(".json"):
return False
else:
raise Exception(f"unknown file extension: {file_name}")
class JsonSerializer(DocumentSerializer):
def __init__(self, **kwargs):
self.default_kwargs = kwargs
@classmethod
def write(
cls,
documents: Iterable[Document],
path: str,
split: str = "train",
append: bool = False,
) -> Dict[str, str]:
if not isinstance(documents, (Dataset, IterableDataset)):
if not isinstance(documents, Sequence):
documents = IterableDataset.from_documents(documents)
else:
documents = Dataset.from_documents(documents)
dataset_dict = DatasetDict({split: documents})
dataset_dict.to_json(path=path, mode="a" if append else "w")
return {"path": path, "split": split}
@classmethod
def read(
cls,
path: str,
document_type: Optional[Type[D]] = None,
split: Optional[str] = None,
) -> Dataset[Document]:
dataset_dict = DatasetDict.from_json(
data_dir=path, document_type=document_type, split=split
)
if split is not None:
return dataset_dict[split]
if len(dataset_dict) == 1:
return dataset_dict[list(dataset_dict.keys())[0]]
raise ValueError(f"multiple splits found in dataset_dict: {list(dataset_dict.keys())}")
def read_with_defaults(self, **kwargs) -> Sequence[D]:
all_kwargs = {**self.default_kwargs, **kwargs}
return self.read(**all_kwargs)
def write_with_defaults(self, **kwargs) -> Dict[str, str]:
all_kwargs = {**self.default_kwargs, **kwargs}
return self.write(**all_kwargs)
def __call__(
self, documents: Iterable[Document], append: bool = False, **kwargs
) -> Dict[str, str]:
return self.write_with_defaults(documents=documents, append=append, **kwargs)
|