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chore: import upstream snapshot with attribution
2026-07-13 13:33:56 +08:00

36 lines
1.3 KiB
Python

from typing import Any, Dict, List, Optional
from unstructured.documents.elements import Text
def stage_for_datasaur(
elements: List[Text],
entities: Optional[List[List[Dict[str, Any]]]] = None,
) -> List[Dict[str, Any]]:
"""Convert a list of elements into a list of dictionaries for use in Datasaur"""
_entities: List[List[Dict[str, Any]]] = [[] for _ in range(len(elements))]
if entities is not None:
if len(entities) != len(elements):
raise ValueError("If entities is specified, it must be the same length as elements.")
for entity_list in entities:
for entity in entity_list:
_validate_datasaur_entity(entity)
_entities = entities
result = [{"text": item.text, "entities": _entities[i]} for i, item in enumerate(elements)]
return result
def _validate_datasaur_entity(entity: Dict[str, Any]):
"""Raises an error if the Datasaur entity is invalid."""
keys_and_types = {"text": str, "type": str, "start_idx": int, "end_idx": int}
for key, _type in keys_and_types.items():
if key not in entity:
raise ValueError(f"Key '{key}' was expected but not present in the Datasaur entity.")
if not isinstance(entity[key], _type):
raise ValueError(f"Expected type {_type} for {key}. Got {type(key)}.")