import abc
from .types import LLMConfig
from _typeshed import Incomplete
from abc import ABC, abstractmethod
from lxml import etree
from typing import Any
class TableExtractionStrategy(ABC, metaclass=abc.ABCMeta):
verbose: Incomplete
logger: Incomplete
def __init__(self, **kwargs) -> None: ...
@abstractmethod
def extract_tables(self, element: etree.Element, **kwargs) -> list[dict[str, Any]]: ...
class DefaultTableExtraction(TableExtractionStrategy):
table_score_threshold: Incomplete
min_rows: Incomplete
min_cols: Incomplete
def __init__(self, **kwargs) -> None: ...
def extract_tables(self, element: etree.Element, **kwargs) -> list[dict[str, Any]]: ...
def is_data_table(self, table: etree.Element, **kwargs) -> bool: ...
def extract_table_data(self, table: etree.Element) -> dict[str, Any]: ...
class NoTableExtraction(TableExtractionStrategy):
def extract_tables(self, element: etree.Element, **kwargs) -> list[dict[str, Any]]: ...
class LLMTableExtraction(TableExtractionStrategy):
TABLE_EXTRACTION_PROMPT: str
llm_config: Incomplete
css_selector: Incomplete
max_tries: Incomplete
enable_chunking: Incomplete
chunk_token_threshold: Incomplete
min_rows_per_chunk: Incomplete
max_parallel_chunks: Incomplete
extra_args: Incomplete
def __init__(self, llm_config: LLMConfig | None = None, css_selector: str | None = None, max_tries: int = 3, enable_chunking: bool = True, chunk_token_threshold: int = 3000, min_rows_per_chunk: int = 10, max_parallel_chunks: int = 5, verbose: bool = False, **kwargs) -> None: ...
def extract_tables(self, element: etree.Element, **kwargs) -> list[dict[str, Any]]: ...
