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from __future__ import annotations
import random
from collections.abc import Iterator, Sequence
from pathlib import Path
from typing import Any
from .common import write_jsonl
class DataObject(Sequence[dict[str, str]]):
def __init__(
self,
records: Sequence[dict[str, str]] | None = None,
*,
name: str = "dataset",
warnings: Sequence[str] | None = None,
) -> None:
self.records = list(records or [])
self.name = name
self.warnings = list(warnings or [])
def __len__(self) -> int:
return len(self.records)
def __iter__(self) -> Iterator[dict[str, str]]:
return iter(self.records)
def __getitem__(self, index: int | slice) -> dict[str, str] | list[dict[str, str]]:
return self.records[index]
def take(self, amount: int) -> list[dict[str, str]]:
if amount < 0:
raise ValueError("amount must be non-negative")
return self.records[:amount]
def shuffle(self, *, seed: int | None = 42) -> "DataObject":
shuffled = list(self.records)
rng = random.Random(seed)
rng.shuffle(shuffled)
return DataObject(
shuffled,
name=self.name,
warnings=self.warnings,
)
def to_jsonl(self, path: str | Path) -> None:
write_jsonl(self.records, path)
def extend(self, other: "DataObject") -> None:
self.records.extend(other.records)
self.warnings.extend(other.warnings)
@classmethod
def concat(cls, datasets: Sequence["DataObject"], *, name: str = "all") -> "DataObject":
records: list[dict[str, str]] = []
warnings: list[str] = []
for dataset in datasets:
records.extend(dataset.records)
warnings.extend(dataset.warnings)
return cls(records, name=name, warnings=warnings)
def summary(self) -> dict[str, Any]:
return {
"name": self.name,
"rows": len(self.records),
"warnings": self.warnings,
}