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* api v1alpha1 Signed-off-by: Guillaume Moutier <gmoutier@redhat.com> Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * use actual types in request models and refactor Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * make gradio optional and update README Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * Run workflow jobs sequentially to avoid disk space outage (#19) Github Action runners are running out of the space while building both the images in parallel. This change will build the image sequentially and also clean up the cpu images before start building gpu image. Signed-off-by: Anil Vishnoi <vishnoianil@gmail.com> Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * Add github job to build image (and not publish) on PR creation (#20) Signed-off-by: Anil Vishnoi <vishnoianil@gmail.com> Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add start_server script for local dev Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * fix 3.12-only syntax Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * fix more py3.10-11 compatibility Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * rework output format and background tasks Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * speficy return schemas for openapi Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add processing time and update REDAME Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * lint markdown Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add MD033 to config Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * use port 5000 Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * use port 5001 as default Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * update deps Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * refactor input request Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * return docling document Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * update new payload in README Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add base64 example Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * wrap example in <details> Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * rename /url in /source Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * move main execution to __main__ Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> --------- Signed-off-by: Guillaume Moutier <gmoutier@redhat.com> Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> Signed-off-by: Anil Vishnoi <vishnoianil@gmail.com> Co-authored-by: Michele Dolfi <dol@zurich.ibm.com> Co-authored-by: Anil Vishnoi <vishnoianil@gmail.com>
249 lines
8.2 KiB
Python
249 lines
8.2 KiB
Python
import logging
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import os
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import shutil
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import tempfile
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import time
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from pathlib import Path
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from typing import Dict, Iterable, List, Optional, Union
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from docling.datamodel.base_models import OutputFormat
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from docling.datamodel.document import ConversionResult, ConversionStatus, ErrorItem
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from docling.utils.profiling import ProfilingItem
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from docling_core.types.doc import DoclingDocument, ImageRefMode
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from fastapi import BackgroundTasks, HTTPException
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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from docling_serve.docling_conversion import ConvertDocumentsOptions
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_log = logging.getLogger(__name__)
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class DocumentResponse(BaseModel):
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filename: str
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md_content: Optional[str] = None
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json_content: Optional[DoclingDocument] = None
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html_content: Optional[str] = None
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text_content: Optional[str] = None
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doctags_content: Optional[str] = None
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class ConvertDocumentResponse(BaseModel):
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document: DocumentResponse
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status: ConversionStatus
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errors: List[ErrorItem] = []
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processing_time: float
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timings: Dict[str, ProfilingItem] = {}
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class ConvertDocumentErrorResponse(BaseModel):
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status: ConversionStatus
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def _export_document_as_content(
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conv_res: ConversionResult,
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export_json: bool,
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export_html: bool,
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export_md: bool,
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export_txt: bool,
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export_doctags: bool,
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image_mode: ImageRefMode,
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):
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document = DocumentResponse(filename=conv_res.input.file.name)
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if conv_res.status == ConversionStatus.SUCCESS:
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new_doc = conv_res.document._make_copy_with_refmode(Path(), image_mode)
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# Create the different formats
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if export_json:
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document.json_content = new_doc
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if export_html:
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document.html_content = new_doc.export_to_html(image_mode=image_mode)
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if export_txt:
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document.text_content = new_doc.export_to_markdown(
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strict_text=True, image_mode=image_mode
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)
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if export_md:
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document.md_content = new_doc.export_to_markdown(image_mode=image_mode)
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if export_doctags:
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document.doctags_content = new_doc.export_to_document_tokens()
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elif conv_res.status == ConversionStatus.SKIPPED:
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raise HTTPException(status_code=400, detail=conv_res.errors)
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else:
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raise HTTPException(status_code=500, detail=conv_res.errors)
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return document
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def _export_documents_as_files(
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conv_results: Iterable[ConversionResult],
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output_dir: Path,
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export_json: bool,
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export_html: bool,
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export_md: bool,
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export_txt: bool,
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export_doctags: bool,
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image_export_mode: ImageRefMode,
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):
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success_count = 0
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failure_count = 0
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for conv_res in conv_results:
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if conv_res.status == ConversionStatus.SUCCESS:
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success_count += 1
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doc_filename = conv_res.input.file.stem
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# Export JSON format:
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if export_json:
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fname = output_dir / f"{doc_filename}.json"
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_log.info(f"writing JSON output to {fname}")
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conv_res.document.save_as_json(
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filename=fname, image_mode=image_export_mode
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)
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# Export HTML format:
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if export_html:
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fname = output_dir / f"{doc_filename}.html"
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_log.info(f"writing HTML output to {fname}")
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conv_res.document.save_as_html(
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filename=fname, image_mode=image_export_mode
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)
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# Export Text format:
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if export_txt:
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fname = output_dir / f"{doc_filename}.txt"
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_log.info(f"writing TXT output to {fname}")
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conv_res.document.save_as_markdown(
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filename=fname,
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strict_text=True,
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image_mode=ImageRefMode.PLACEHOLDER,
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)
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# Export Markdown format:
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if export_md:
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fname = output_dir / f"{doc_filename}.md"
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_log.info(f"writing Markdown output to {fname}")
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conv_res.document.save_as_markdown(
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filename=fname, image_mode=image_export_mode
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)
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# Export Document Tags format:
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if export_doctags:
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fname = output_dir / f"{doc_filename}.doctags"
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_log.info(f"writing Doc Tags output to {fname}")
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conv_res.document.save_as_document_tokens(filename=fname)
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else:
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_log.warning(f"Document {conv_res.input.file} failed to convert.")
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failure_count += 1
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_log.info(
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f"Processed {success_count + failure_count} docs, "
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f"of which {failure_count} failed"
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)
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def process_results(
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background_tasks: BackgroundTasks,
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conversion_options: ConvertDocumentsOptions,
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conv_results: Iterable[ConversionResult],
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) -> Union[ConvertDocumentResponse, FileResponse]:
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# Let's start by processing the documents
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try:
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start_time = time.monotonic()
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# Convert the iterator to a list to count the number of results and get timings
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# As it's an iterator (lazy evaluation), it will also start the conversion
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conv_results = list(conv_results)
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processing_time = time.monotonic() - start_time
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_log.info(
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f"Processed {len(conv_results)} docs in {processing_time:.2f} seconds."
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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if len(conv_results) == 0:
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raise HTTPException(
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status_code=500, detail="No documents were generated by Docling."
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)
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# We have some results, let's prepare the response
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response: Union[FileResponse, ConvertDocumentResponse]
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# Booleans to know what to export
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export_json = OutputFormat.JSON in conversion_options.to_formats
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export_html = OutputFormat.HTML in conversion_options.to_formats
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export_md = OutputFormat.MARKDOWN in conversion_options.to_formats
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export_txt = OutputFormat.TEXT in conversion_options.to_formats
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export_doctags = OutputFormat.DOCTAGS in conversion_options.to_formats
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# Only 1 document was processed, and we are not returning it as a file
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if len(conv_results) == 1 and not conversion_options.return_as_file:
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conv_res = conv_results[0]
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document = _export_document_as_content(
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conv_res,
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export_json=export_json,
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export_html=export_html,
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export_md=export_md,
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export_txt=export_txt,
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export_doctags=export_doctags,
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image_mode=conversion_options.image_export_mode,
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)
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response = ConvertDocumentResponse(
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document=document,
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status=conv_res.status,
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processing_time=processing_time,
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timings=conv_res.timings,
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)
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# Multiple documents were processed, or we are forced returning as a file
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else:
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# Temporary directory to store the outputs
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work_dir = Path(tempfile.mkdtemp(prefix="docling_"))
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output_dir = work_dir / "output"
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output_dir.mkdir(parents=True, exist_ok=True)
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# Worker pid to use in archive identification as we may have multiple workers
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os.getpid()
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# Export the documents
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_export_documents_as_files(
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conv_results=conv_results,
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output_dir=output_dir,
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export_json=export_json,
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export_html=export_html,
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export_md=export_md,
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export_txt=export_txt,
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export_doctags=export_doctags,
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image_export_mode=conversion_options.image_export_mode,
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)
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files = os.listdir(output_dir)
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if len(files) == 0:
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raise HTTPException(status_code=500, detail="No documents were exported.")
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file_path = work_dir / "converted_docs.zip"
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shutil.make_archive(
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base_name=str(file_path.with_suffix("")),
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format="zip",
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root_dir=output_dir,
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)
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# Other cleanups after the response is sent
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# Output directory
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background_tasks.add_task(shutil.rmtree, work_dir, ignore_errors=True)
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response = FileResponse(
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file_path, filename=file_path.name, media_type="application/zip"
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)
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return response
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