fix: use new resolve_source_to_x functions to avoid tempfile leftovers (#490)

use new resolve_source_to_x functions

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
This commit is contained in:
Michele Dolfi 2024-12-03 09:28:52 +01:00 committed by Michele Dolfi
parent 72e76512bd
commit a762c8394e
2 changed files with 88 additions and 84 deletions

View File

@ -2,6 +2,7 @@ import importlib
import json
import logging
import re
import tempfile
import time
import warnings
from enum import Enum
@ -9,7 +10,7 @@ from pathlib import Path
from typing import Annotated, Dict, Iterable, List, Optional, Type
import typer
from docling_core.utils.file import resolve_file_source
from docling_core.utils.file import resolve_source_to_path
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.docling_parse_v2_backend import DoclingParseV2DocumentBackend
@ -256,95 +257,98 @@ def convert(
if from_formats is None:
from_formats = [e for e in InputFormat]
input_doc_paths: List[Path] = []
for src in input_sources:
source = resolve_file_source(source=src)
if not source.exists():
err_console.print(
f"[red]Error: The input file {source} does not exist.[/red]"
)
raise typer.Abort()
elif source.is_dir():
for fmt in from_formats:
for ext in FormatToExtensions[fmt]:
input_doc_paths.extend(list(source.glob(f"**/*.{ext}")))
input_doc_paths.extend(list(source.glob(f"**/*.{ext.upper()}")))
with tempfile.TemporaryDirectory() as tempdir:
input_doc_paths: List[Path] = []
for src in input_sources:
source = resolve_source_to_path(source=src, workdir=Path(tempdir))
if not source.exists():
err_console.print(
f"[red]Error: The input file {source} does not exist.[/red]"
)
raise typer.Abort()
elif source.is_dir():
for fmt in from_formats:
for ext in FormatToExtensions[fmt]:
input_doc_paths.extend(list(source.glob(f"**/*.{ext}")))
input_doc_paths.extend(list(source.glob(f"**/*.{ext.upper()}")))
else:
input_doc_paths.append(source)
if to_formats is None:
to_formats = [OutputFormat.MARKDOWN]
export_json = OutputFormat.JSON in to_formats
export_md = OutputFormat.MARKDOWN in to_formats
export_txt = OutputFormat.TEXT in to_formats
export_doctags = OutputFormat.DOCTAGS in to_formats
if ocr_engine == OcrEngine.EASYOCR:
ocr_options: OcrOptions = EasyOcrOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.TESSERACT_CLI:
ocr_options = TesseractCliOcrOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.TESSERACT:
ocr_options = TesseractOcrOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.OCRMAC:
ocr_options = OcrMacOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.RAPIDOCR:
ocr_options = RapidOcrOptions(force_full_page_ocr=force_ocr)
else:
input_doc_paths.append(source)
raise RuntimeError(f"Unexpected OCR engine type {ocr_engine}")
if to_formats is None:
to_formats = [OutputFormat.MARKDOWN]
ocr_lang_list = _split_list(ocr_lang)
if ocr_lang_list is not None:
ocr_options.lang = ocr_lang_list
export_json = OutputFormat.JSON in to_formats
export_md = OutputFormat.MARKDOWN in to_formats
export_txt = OutputFormat.TEXT in to_formats
export_doctags = OutputFormat.DOCTAGS in to_formats
if ocr_engine == OcrEngine.EASYOCR:
ocr_options: OcrOptions = EasyOcrOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.TESSERACT_CLI:
ocr_options = TesseractCliOcrOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.TESSERACT:
ocr_options = TesseractOcrOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.OCRMAC:
ocr_options = OcrMacOptions(force_full_page_ocr=force_ocr)
elif ocr_engine == OcrEngine.RAPIDOCR:
ocr_options = RapidOcrOptions(force_full_page_ocr=force_ocr)
else:
raise RuntimeError(f"Unexpected OCR engine type {ocr_engine}")
ocr_lang_list = _split_list(ocr_lang)
if ocr_lang_list is not None:
ocr_options.lang = ocr_lang_list
pipeline_options = PdfPipelineOptions(
do_ocr=ocr,
ocr_options=ocr_options,
do_table_structure=True,
)
pipeline_options.table_structure_options.do_cell_matching = True # do_cell_matching
pipeline_options.table_structure_options.mode = table_mode
if artifacts_path is not None:
pipeline_options.artifacts_path = artifacts_path
if pdf_backend == PdfBackend.DLPARSE_V1:
backend: Type[PdfDocumentBackend] = DoclingParseDocumentBackend
elif pdf_backend == PdfBackend.DLPARSE_V2:
backend = DoclingParseV2DocumentBackend
elif pdf_backend == PdfBackend.PYPDFIUM2:
backend = PyPdfiumDocumentBackend
else:
raise RuntimeError(f"Unexpected PDF backend type {pdf_backend}")
format_options: Dict[InputFormat, FormatOption] = {
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options,
backend=backend, # pdf_backend
pipeline_options = PdfPipelineOptions(
do_ocr=ocr,
ocr_options=ocr_options,
do_table_structure=True,
)
}
doc_converter = DocumentConverter(
allowed_formats=from_formats,
format_options=format_options,
)
pipeline_options.table_structure_options.do_cell_matching = (
True # do_cell_matching
)
pipeline_options.table_structure_options.mode = table_mode
start_time = time.time()
if artifacts_path is not None:
pipeline_options.artifacts_path = artifacts_path
conv_results = doc_converter.convert_all(
input_doc_paths, raises_on_error=abort_on_error
)
if pdf_backend == PdfBackend.DLPARSE_V1:
backend: Type[PdfDocumentBackend] = DoclingParseDocumentBackend
elif pdf_backend == PdfBackend.DLPARSE_V2:
backend = DoclingParseV2DocumentBackend
elif pdf_backend == PdfBackend.PYPDFIUM2:
backend = PyPdfiumDocumentBackend
else:
raise RuntimeError(f"Unexpected PDF backend type {pdf_backend}")
output.mkdir(parents=True, exist_ok=True)
export_documents(
conv_results,
output_dir=output,
export_json=export_json,
export_md=export_md,
export_txt=export_txt,
export_doctags=export_doctags,
)
format_options: Dict[InputFormat, FormatOption] = {
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options,
backend=backend, # pdf_backend
)
}
doc_converter = DocumentConverter(
allowed_formats=from_formats,
format_options=format_options,
)
end_time = time.time() - start_time
start_time = time.time()
conv_results = doc_converter.convert_all(
input_doc_paths, raises_on_error=abort_on_error
)
output.mkdir(parents=True, exist_ok=True)
export_documents(
conv_results,
output_dir=output,
export_json=export_json,
export_md=export_md,
export_txt=export_txt,
export_doctags=export_doctags,
)
end_time = time.time() - start_time
_log.info(f"All documents were converted in {end_time:.2f} seconds.")

View File

@ -32,7 +32,7 @@ from docling_core.types.legacy_doc.document import (
)
from docling_core.types.legacy_doc.document import CCSFileInfoObject as DsFileInfoObject
from docling_core.types.legacy_doc.document import ExportedCCSDocument as DsDocument
from docling_core.utils.file import resolve_file_source
from docling_core.utils.file import resolve_source_to_stream
from pydantic import BaseModel
from typing_extensions import deprecated
@ -459,7 +459,7 @@ class _DocumentConversionInput(BaseModel):
self, format_options: Dict[InputFormat, "FormatOption"]
) -> Iterable[InputDocument]:
for item in self.path_or_stream_iterator:
obj = resolve_file_source(item) if isinstance(item, str) else item
obj = resolve_source_to_stream(item) if isinstance(item, str) else item
format = self._guess_format(obj)
if format not in format_options.keys():
_log.info(