Source code for nv_ingest.framework.orchestration.morpheus.stages.extractors.table_extraction_stage
# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES.
# All rights reserved.
# SPDX-License-Identifier: Apache-2.0
import functools
import logging
from typing import Any
from typing import Dict
from morpheus.config import Config
from nv_ingest.framework.orchestration.morpheus.stages.meta.multiprocessing_stage import MultiProcessingBaseStage
from nv_ingest_api.internal.extract.image.table_extractor import extract_table_data_from_image_internal
from nv_ingest_api.internal.schemas.extract.extract_table_schema import TableExtractorSchema
logger = logging.getLogger(__name__)
[docs]
def generate_table_extractor_stage(
c: Config,
extraction_config: Dict[str, Any],
task: str = "table_data_extract",
task_desc: str = "table_data_extraction",
pe_count: int = 1,
):
"""
Generates a multiprocessing stage to perform table data extraction from PDF content.
Parameters
----------
c : Config
Morpheus global configuration object.
extraction_config : Dict[str, Any]
Configuration parameters for the table content extractor, passed as a dictionary
validated against the `TableExtractorSchema`.
task : str, optional
The task name for the stage worker function, defining the specific table extraction process.
Default is "table_data_extract".
task_desc : str, optional
A descriptor used for latency tracing and logging during table extraction.
Default is "table_data_extraction".
pe_count : int, optional
The number of process engines to use for table data extraction. This value controls
how many worker processes will run concurrently. Default is 1.
Returns
-------
MultiProcessingBaseStage
A configured Morpheus stage with an applied worker function that handles table data extraction
from PDF content.
"""
validated_config = TableExtractorSchema(**extraction_config)
_wrapped_process_fn = functools.partial(extract_table_data_from_image_internal, extraction_config=validated_config)
return MultiProcessingBaseStage(
c=c, pe_count=pe_count, task=task, task_desc=task_desc, process_fn=_wrapped_process_fn
)