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from typing import Any, Literal | |
from llama_index import Document | |
from pydantic import BaseModel, Field | |
class IngestedDoc(BaseModel): | |
object: Literal["ingest.document"] | |
doc_id: str = Field(examples=["c202d5e6-7b69-4869-81cc-dd574ee8ee11"]) | |
doc_metadata: dict[str, Any] | None = Field( | |
examples=[ | |
{ | |
"page_label": "2", | |
"file_name": "agriculture.pdf", | |
} | |
] | |
) | |
def curate_metadata(metadata: dict[str, Any]) -> dict[str, Any]: | |
"""Remove unwanted metadata keys.""" | |
for key in ["doc_id", "window", "original_text"]: | |
metadata.pop(key, None) | |
return metadata | |
def from_document(document: Document) -> "IngestedDoc": | |
return IngestedDoc( | |
object="ingest.document", | |
doc_id=document.doc_id, | |
doc_metadata=IngestedDoc.curate_metadata(document.metadata), | |
) | |