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from typing import Annotated, TypedDict
import polars as pl
from langchain_core.documents import Document
from pydantic import BaseModel
from planning_ai.chains.hallucination_chain import HallucinationChecker
from planning_ai.common.utils import filename_reducer
class DocumentState(TypedDict):
document: Document
filename: int
doc_type: str
entities: list[dict]
themes: list[dict]
summary: BaseModel
hallucination: HallucinationChecker
chapters: list[str]
is_hallucinated: bool
refinement_attempts: int
failed: bool
processed: bool
class OverallState(TypedDict):
documents: Annotated[list, filename_reducer]
executive: str
policies: pl.DataFrame
unused_documents: list[int]
n_docs: int
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