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https://github.com/open-webui/open-webui
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Merge pull request #14311 from Hisma/marker-api-content-extraction
feat: Marker api content extraction support
This commit is contained in:
Tim Jaeryang Baek
GitHub
commit
042c37ea34
@ -1848,6 +1848,60 @@ CONTENT_EXTRACTION_ENGINE = PersistentConfig(
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os.environ.get("CONTENT_EXTRACTION_ENGINE", "").lower(),
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)
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DATALAB_MARKER_API_KEY = PersistentConfig(
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"DATALAB_MARKER_API_KEY",
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"rag.datalab_marker_api_key",
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os.environ.get("DATALAB_MARKER_API_KEY", ""),
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)
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DATALAB_MARKER_LANGS = PersistentConfig(
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"DATALAB_MARKER_LANGS",
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"rag.datalab_marker_langs",
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os.environ.get("DATALAB_MARKER_LANGS", ""),
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)
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DATALAB_MARKER_USE_LLM = PersistentConfig(
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"DATALAB_MARKER_USE_LLM",
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"rag.DATALAB_MARKER_USE_LLM",
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os.environ.get("DATALAB_MARKER_USE_LLM", "false") == "true",
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)
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DATALAB_MARKER_SKIP_CACHE = PersistentConfig(
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"DATALAB_MARKER_SKIP_CACHE",
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"rag.datalab_marker_skip_cache",
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os.environ.get("DATALAB_MARKER_SKIP_CACHE", "false") == "true",
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)
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DATALAB_MARKER_FORCE_OCR = PersistentConfig(
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"DATALAB_MARKER_FORCE_OCR",
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"rag.datalab_marker_force_ocr",
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os.environ.get("DATALAB_MARKER_FORCE_OCR", "false") == "true",
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)
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DATALAB_MARKER_PAGINATE = PersistentConfig(
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"DATALAB_MARKER_PAGINATE",
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"rag.datalab_marker_paginate",
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os.environ.get("DATALAB_MARKER_PAGINATE", "false") == "true",
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)
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DATALAB_MARKER_STRIP_EXISTING_OCR = PersistentConfig(
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"DATALAB_MARKER_STRIP_EXISTING_OCR",
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"rag.datalab_marker_strip_existing_ocr",
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os.environ.get("DATALAB_MARKER_STRIP_EXISTING_OCR", "false") == "true",
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)
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DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION = PersistentConfig(
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"DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION",
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"rag.datalab_marker_disable_image_extraction",
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os.environ.get("DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION", "false") == "true",
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)
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DATALAB_MARKER_OUTPUT_FORMAT = PersistentConfig(
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"DATALAB_MARKER_OUTPUT_FORMAT",
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"rag.datalab_marker_output_format",
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os.environ.get("DATALAB_MARKER_OUTPUT_FORMAT", ""),
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)
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EXTERNAL_DOCUMENT_LOADER_URL = PersistentConfig(
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"EXTERNAL_DOCUMENT_LOADER_URL",
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"rag.external_document_loader_url",
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@ -212,6 +212,15 @@ from open_webui.config import (
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CHUNK_OVERLAP,
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CHUNK_SIZE,
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CONTENT_EXTRACTION_ENGINE,
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DATALAB_MARKER_API_KEY,
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DATALAB_MARKER_LANGS,
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DATALAB_MARKER_SKIP_CACHE,
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DATALAB_MARKER_FORCE_OCR,
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DATALAB_MARKER_PAGINATE,
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DATALAB_MARKER_STRIP_EXISTING_OCR,
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DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
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DATALAB_MARKER_OUTPUT_FORMAT,
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DATALAB_MARKER_USE_LLM,
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EXTERNAL_DOCUMENT_LOADER_URL,
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EXTERNAL_DOCUMENT_LOADER_API_KEY,
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TIKA_SERVER_URL,
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@ -666,6 +675,15 @@ app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
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app.state.config.ENABLE_WEB_LOADER_SSL_VERIFICATION = ENABLE_WEB_LOADER_SSL_VERIFICATION
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app.state.config.CONTENT_EXTRACTION_ENGINE = CONTENT_EXTRACTION_ENGINE
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app.state.config.DATALAB_MARKER_API_KEY = DATALAB_MARKER_API_KEY
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app.state.config.DATALAB_MARKER_LANGS = DATALAB_MARKER_LANGS
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app.state.config.DATALAB_MARKER_SKIP_CACHE = DATALAB_MARKER_SKIP_CACHE
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app.state.config.DATALAB_MARKER_FORCE_OCR = DATALAB_MARKER_FORCE_OCR
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app.state.config.DATALAB_MARKER_PAGINATE = DATALAB_MARKER_PAGINATE
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app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR = DATALAB_MARKER_STRIP_EXISTING_OCR
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app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION = DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION
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app.state.config.DATALAB_MARKER_USE_LLM = DATALAB_MARKER_USE_LLM
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app.state.config.DATALAB_MARKER_OUTPUT_FORMAT = DATALAB_MARKER_OUTPUT_FORMAT
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app.state.config.EXTERNAL_DOCUMENT_LOADER_URL = EXTERNAL_DOCUMENT_LOADER_URL
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app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY = EXTERNAL_DOCUMENT_LOADER_API_KEY
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app.state.config.TIKA_SERVER_URL = TIKA_SERVER_URL
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200
backend/open_webui/retrieval/loaders/datalab_marker_loader.py
Normal file
200
backend/open_webui/retrieval/loaders/datalab_marker_loader.py
Normal file
@ -0,0 +1,200 @@
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import os
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import time
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import requests
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import logging
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import json
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from typing import List, Optional
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from langchain_core.documents import Document
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from fastapi import HTTPException, status
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log = logging.getLogger(__name__)
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class DatalabMarkerLoader:
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def __init__(
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self,
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file_path: str,
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api_key: str,
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langs: Optional[str] = None,
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use_llm: bool = False,
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skip_cache: bool = False,
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force_ocr: bool = False,
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paginate: bool = False,
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strip_existing_ocr: bool = False,
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disable_image_extraction: bool = False,
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output_format: str = None
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):
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self.file_path = file_path
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self.api_key = api_key
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self.langs = langs
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self.use_llm = use_llm
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self.skip_cache = skip_cache
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self.force_ocr = force_ocr
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self.paginate = paginate
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self.strip_existing_ocr = strip_existing_ocr
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self.disable_image_extraction = disable_image_extraction
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self.output_format = output_format
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def _get_mime_type(self, filename: str) -> str:
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ext = filename.rsplit(".", 1)[-1].lower()
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mime_map = {
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'pdf': 'application/pdf',
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'xls': 'application/vnd.ms-excel',
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'xlsx': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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'ods': 'application/vnd.oasis.opendocument.spreadsheet',
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'doc': 'application/msword',
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'docx': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
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'odt': 'application/vnd.oasis.opendocument.text',
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'ppt': 'application/vnd.ms-powerpoint',
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'pptx': 'application/vnd.openxmlformats-officedocument.presentationml.presentation',
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'odp': 'application/vnd.oasis.opendocument.presentation',
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'html': 'text/html',
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'epub': 'application/epub+zip',
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'png': 'image/png',
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'jpeg': 'image/jpeg',
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'jpg': 'image/jpeg',
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'webp': 'image/webp',
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'gif': 'image/gif',
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'tiff': 'image/tiff'
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}
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return mime_map.get(ext, 'application/octet-stream')
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def check_marker_request_status(self, request_id: str) -> dict:
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url = f"https://www.datalab.to/api/v1/marker/{request_id}"
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headers = {"X-Api-Key": self.api_key}
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try:
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response = requests.get(url, headers=headers)
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response.raise_for_status()
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result = response.json()
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log.info(f"Marker API status check for request {request_id}: {result}")
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return result
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except requests.HTTPError as e:
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log.error(f"Error checking Marker request status: {e}")
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raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Failed to check Marker request: {e}")
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except ValueError as e:
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log.error(f"Invalid JSON checking Marker request: {e}")
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raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Invalid JSON: {e}")
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def load(self) -> List[Document]:
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url = "https://www.datalab.to/api/v1/marker"
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filename = os.path.basename(self.file_path)
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mime_type = self._get_mime_type(filename)
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headers = {"X-Api-Key": self.api_key}
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form_data = {
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"langs": self.langs,
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"use_llm": str(self.use_llm).lower(),
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"skip_cache": str(self.skip_cache).lower(),
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"force_ocr": str(self.force_ocr).lower(),
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"paginate": str(self.paginate).lower(),
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"strip_existing_ocr": str(self.strip_existing_ocr).lower(),
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"disable_image_extraction": str(self.disable_image_extraction).lower(),
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"output_format": self.output_format,
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}
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log.info(f"Datalab Marker POST request parameters: {{'filename': '{filename}', 'mime_type': '{mime_type}', **{form_data}}}")
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try:
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with open(self.file_path, "rb") as f:
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files = {"file": (filename, f, mime_type)}
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response = requests.post(url, data=form_data, files=files, headers=headers)
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response.raise_for_status()
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result = response.json()
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except FileNotFoundError:
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raise HTTPException(status.HTTP_404_NOT_FOUND, detail=f"File not found: {self.file_path}")
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except requests.HTTPError as e:
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raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Datalab Marker request failed: {e}")
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except ValueError as e:
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raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Invalid JSON response: {e}")
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except Exception as e:
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raise HTTPException(status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
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if not result.get("success"):
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raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Datalab Marker request failed: {result.get('error', 'Unknown error')}")
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check_url = result.get("request_check_url")
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request_id = result.get("request_id")
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if not check_url:
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raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail="No request_check_url returned.")
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for _ in range(300): # Up to 10 minutes
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time.sleep(2)
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try:
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poll_response = requests.get(check_url, headers=headers)
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poll_response.raise_for_status()
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poll_result = poll_response.json()
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except (requests.HTTPError, ValueError) as e:
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raw_body = poll_response.text
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log.error(f"Polling error: {e}, response body: {raw_body}")
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raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Polling failed: {e}")
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status_val = poll_result.get("status")
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success_val = poll_result.get("success")
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if status_val == "complete":
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summary = {
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k: poll_result.get(k)
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for k in ("status", "output_format", "success", "error", "page_count", "total_cost")
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}
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log.info(f"Marker processing completed successfully: {json.dumps(summary, indent=2)}")
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break
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if status_val == "failed" or success_val is False:
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log.error(f"Marker poll failed full response: {json.dumps(poll_result, indent=2)}")
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error_msg = poll_result.get("error") or "Marker returned failure without error message"
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raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Marker processing failed: {error_msg}")
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else:
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raise HTTPException(status.HTTP_504_GATEWAY_TIMEOUT, detail="Marker processing timed out")
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if not poll_result.get("success", False):
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error_msg = poll_result.get("error") or "Unknown processing error"
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raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Final processing failed: {error_msg}")
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content_key = self.output_format.lower()
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raw_content = poll_result.get(content_key)
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if content_key == "json":
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full_text = json.dumps(raw_content, indent=2)
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elif content_key in {"markdown", "html"}:
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full_text = str(raw_content).strip()
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else:
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raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Unsupported output format: {self.output_format}")
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if not full_text:
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raise HTTPException(status.HTTP_400_BAD_REQUEST, detail="Datalab Marker returned empty content")
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marker_output_dir = os.path.join("/app/backend/data/uploads", "marker_output")
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os.makedirs(marker_output_dir, exist_ok=True)
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file_ext_map = {"markdown": "md", "json": "json", "html": "html"}
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file_ext = file_ext_map.get(content_key, "txt")
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output_filename = f"{os.path.splitext(filename)[0]}.{file_ext}"
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output_path = os.path.join(marker_output_dir, output_filename)
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try:
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with open(output_path, "w", encoding="utf-8") as f:
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f.write(full_text)
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log.info(f"Saved Marker output to: {output_path}")
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except Exception as e:
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log.warning(f"Failed to write marker output to disk: {e}")
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metadata = {
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"source": filename,
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"output_format": poll_result.get("output_format", self.output_format),
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"page_count": poll_result.get("page_count", 0),
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"processed_with_llm": self.use_llm,
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"request_id": request_id or "",
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}
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images = poll_result.get("images", {})
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if images:
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metadata["image_count"] = len(images)
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metadata["images"] = json.dumps(list(images.keys()))
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for k, v in metadata.items():
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if isinstance(v, (dict, list)):
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metadata[k] = json.dumps(v)
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elif v is None:
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metadata[k] = ""
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return [Document(page_content=full_text, metadata=metadata)]
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@ -21,7 +21,7 @@ from langchain_community.document_loaders import (
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)
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from langchain_core.documents import Document
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from open_webui.retrieval.loaders.datalab_marker_loader import DatalabMarkerLoader
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from open_webui.retrieval.loaders.external_document import ExternalDocumentLoader
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from open_webui.retrieval.loaders.mistral import MistralLoader
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@ -236,6 +236,23 @@ class Loader:
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mime_type=file_content_type,
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extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES"),
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)
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elif (
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self.engine == "datalab_marker"
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and self.kwargs.get("DATALAB_MARKER_API_KEY")
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and file_ext in ["pdf", "xls", "xlsx", "ods", "doc", "docx", "odt", "ppt", "pptx", "odp", "html", "epub", "png", "jpeg", "jpg", "webp", "gif", "tiff"]
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):
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loader = DatalabMarkerLoader(
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file_path=file_path,
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api_key=self.kwargs["DATALAB_MARKER_API_KEY"],
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langs=self.kwargs.get("DATALAB_MARKER_LANGS"),
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use_llm=self.kwargs.get("DATALAB_MARKER_USE_LLM", False),
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skip_cache=self.kwargs.get("DATALAB_MARKER_SKIP_CACHE", False),
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force_ocr=self.kwargs.get("DATALAB_MARKER_FORCE_OCR", False),
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paginate=self.kwargs.get("DATALAB_MARKER_PAGINATE", False),
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strip_existing_ocr=self.kwargs.get("DATALAB_MARKER_STRIP_EXISTING_OCR", False),
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disable_image_extraction=self.kwargs.get("DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION", False),
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output_format=self.kwargs.get("DATALAB_MARKER_OUTPUT_FORMAT", "markdown")
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)
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elif self.engine == "docling" and self.kwargs.get("DOCLING_SERVER_URL"):
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if self._is_text_file(file_ext, file_content_type):
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loader = TextLoader(file_path, autodetect_encoding=True)
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@ -353,6 +353,15 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
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# Content extraction settings
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"CONTENT_EXTRACTION_ENGINE": request.app.state.config.CONTENT_EXTRACTION_ENGINE,
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"PDF_EXTRACT_IMAGES": request.app.state.config.PDF_EXTRACT_IMAGES,
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"DATALAB_MARKER_API_KEY": request.app.state.config.DATALAB_MARKER_API_KEY,
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"DATALAB_MARKER_LANGS": request.app.state.config.DATALAB_MARKER_LANGS,
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"DATALAB_MARKER_SKIP_CACHE": request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
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"DATALAB_MARKER_FORCE_OCR": request.app.state.config.DATALAB_MARKER_FORCE_OCR,
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"DATALAB_MARKER_PAGINATE": request.app.state.config.DATALAB_MARKER_PAGINATE,
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"DATALAB_MARKER_STRIP_EXISTING_OCR": request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
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"DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION": request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
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"DATALAB_MARKER_USE_LLM": request.app.state.config.DATALAB_MARKER_USE_LLM,
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"DATALAB_MARKER_OUTPUT_FORMAT": request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
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"EXTERNAL_DOCUMENT_LOADER_URL": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
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"EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
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"TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
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@ -500,6 +509,15 @@ class ConfigForm(BaseModel):
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# Content extraction settings
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CONTENT_EXTRACTION_ENGINE: Optional[str] = None
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PDF_EXTRACT_IMAGES: Optional[bool] = None
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DATALAB_MARKER_API_KEY: Optional[str] = None
|
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DATALAB_MARKER_LANGS: Optional[str] = None
|
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DATALAB_MARKER_SKIP_CACHE: Optional[bool] = None
|
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DATALAB_MARKER_FORCE_OCR: Optional[bool] = None
|
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DATALAB_MARKER_PAGINATE: Optional[bool] = None
|
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DATALAB_MARKER_STRIP_EXISTING_OCR: Optional[bool] = None
|
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DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION: Optional[bool] = None
|
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DATALAB_MARKER_USE_LLM: Optional[bool] = None
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DATALAB_MARKER_OUTPUT_FORMAT: Optional[str] = None
|
||||
EXTERNAL_DOCUMENT_LOADER_URL: Optional[str] = None
|
||||
EXTERNAL_DOCUMENT_LOADER_API_KEY: Optional[str] = None
|
||||
|
||||
@ -599,6 +617,51 @@ async def update_rag_config(
|
||||
if form_data.PDF_EXTRACT_IMAGES is not None
|
||||
else request.app.state.config.PDF_EXTRACT_IMAGES
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_API_KEY = (
|
||||
form_data.DATALAB_MARKER_API_KEY
|
||||
if form_data.DATALAB_MARKER_API_KEY is not None
|
||||
else request.app.state.config.DATALAB_MARKER_API_KEY
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_LANGS = (
|
||||
form_data.DATALAB_MARKER_LANGS
|
||||
if form_data.DATALAB_MARKER_LANGS is not None
|
||||
else request.app.state.config.DATALAB_MARKER_LANGS
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_SKIP_CACHE = (
|
||||
form_data.DATALAB_MARKER_SKIP_CACHE
|
||||
if form_data.DATALAB_MARKER_SKIP_CACHE is not None
|
||||
else request.app.state.config.DATALAB_MARKER_SKIP_CACHE
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_FORCE_OCR = (
|
||||
form_data.DATALAB_MARKER_FORCE_OCR
|
||||
if form_data.DATALAB_MARKER_FORCE_OCR is not None
|
||||
else request.app.state.config.DATALAB_MARKER_FORCE_OCR
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_PAGINATE = (
|
||||
form_data.DATALAB_MARKER_PAGINATE
|
||||
if form_data.DATALAB_MARKER_PAGINATE is not None
|
||||
else request.app.state.config.DATALAB_MARKER_PAGINATE
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR = (
|
||||
form_data.DATALAB_MARKER_STRIP_EXISTING_OCR
|
||||
if form_data.DATALAB_MARKER_STRIP_EXISTING_OCR is not None
|
||||
else request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION = (
|
||||
form_data.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION
|
||||
if form_data.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION is not None
|
||||
else request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT = (
|
||||
form_data.DATALAB_MARKER_OUTPUT_FORMAT
|
||||
if form_data.DATALAB_MARKER_OUTPUT_FORMAT is not None
|
||||
else request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT
|
||||
)
|
||||
request.app.state.config.DATALAB_MARKER_USE_LLM = (
|
||||
form_data.DATALAB_MARKER_USE_LLM
|
||||
if form_data.DATALAB_MARKER_USE_LLM is not None
|
||||
else request.app.state.config.DATALAB_MARKER_USE_LLM
|
||||
)
|
||||
request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL = (
|
||||
form_data.EXTERNAL_DOCUMENT_LOADER_URL
|
||||
if form_data.EXTERNAL_DOCUMENT_LOADER_URL is not None
|
||||
@ -853,6 +916,15 @@ async def update_rag_config(
|
||||
# Content extraction settings
|
||||
"CONTENT_EXTRACTION_ENGINE": request.app.state.config.CONTENT_EXTRACTION_ENGINE,
|
||||
"PDF_EXTRACT_IMAGES": request.app.state.config.PDF_EXTRACT_IMAGES,
|
||||
"DATALAB_MARKER_API_KEY": request.app.state.config.DATALAB_MARKER_API_KEY,
|
||||
"DATALAB_MARKER_LANGS": request.app.state.config.DATALAB_MARKER_LANGS,
|
||||
"DATALAB_MARKER_SKIP_CACHE": request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
|
||||
"DATALAB_MARKER_FORCE_OCR": request.app.state.config.DATALAB_MARKER_FORCE_OCR,
|
||||
"DATALAB_MARKER_PAGINATE": request.app.state.config.DATALAB_MARKER_PAGINATE,
|
||||
"DATALAB_MARKER_STRIP_EXISTING_OCR": request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
|
||||
"DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION": request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
|
||||
"DATALAB_MARKER_USE_LLM": request.app.state.config.DATALAB_MARKER_USE_LLM,
|
||||
"DATALAB_MARKER_OUTPUT_FORMAT": request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
|
||||
"EXTERNAL_DOCUMENT_LOADER_URL": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
|
||||
"EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
|
||||
"TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
|
||||
@ -1178,6 +1250,15 @@ def process_file(
|
||||
file_path = Storage.get_file(file_path)
|
||||
loader = Loader(
|
||||
engine=request.app.state.config.CONTENT_EXTRACTION_ENGINE,
|
||||
DATALAB_MARKER_API_KEY=request.app.state.config.DATALAB_MARKER_API_KEY,
|
||||
DATALAB_MARKER_LANGS=request.app.state.config.DATALAB_MARKER_LANGS,
|
||||
DATALAB_MARKER_SKIP_CACHE=request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
|
||||
DATALAB_MARKER_FORCE_OCR=request.app.state.config.DATALAB_MARKER_FORCE_OCR,
|
||||
DATALAB_MARKER_PAGINATE=request.app.state.config.DATALAB_MARKER_PAGINATE,
|
||||
DATALAB_MARKER_STRIP_EXISTING_OCR=request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
|
||||
DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION=request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
|
||||
DATALAB_MARKER_USE_LLM=request.app.state.config.DATALAB_MARKER_USE_LLM,
|
||||
DATALAB_MARKER_OUTPUT_FORMAT=request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
|
||||
EXTERNAL_DOCUMENT_LOADER_URL=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
|
||||
EXTERNAL_DOCUMENT_LOADER_API_KEY=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
|
||||
TIKA_SERVER_URL=request.app.state.config.TIKA_SERVER_URL,
|
||||
|
||||
@ -58,6 +58,27 @@
|
||||
};
|
||||
|
||||
let RAGConfig = null;
|
||||
let selectedLanguages: string[] = ['en'];
|
||||
let langsHydrated = false;
|
||||
|
||||
const SUPPORTED_LANGUAGES = {
|
||||
"af": "Afrikaans", "am": "Amharic", "ar": "Arabic", "as": "Assamese", "az": "Azerbaijani", "be": "Belarusian",
|
||||
"bg": "Bulgarian", "bn": "Bengali", "br": "Breton", "bs": "Bosnian", "ca": "Catalan", "cs": "Czech",
|
||||
"cy": "Welsh", "da": "Danish", "de": "German", "el": "Greek", "en": "English", "eo": "Esperanto",
|
||||
"es": "Spanish", "et": "Estonian", "eu": "Basque", "fa": "Persian", "fi": "Finnish", "fr": "French",
|
||||
"fy": "Western Frisian", "ga": "Irish", "gd": "Scottish Gaelic", "gl": "Galician", "gu": "Gujarati",
|
||||
"ha": "Hausa", "he": "Hebrew", "hi": "Hindi", "hr": "Croatian", "hu": "Hungarian", "hy": "Armenian",
|
||||
"id": "Indonesian", "is": "Icelandic", "it": "Italian", "ja": "Japanese", "jv": "Javanese", "ka": "Georgian",
|
||||
"kk": "Kazakh", "km": "Khmer", "kn": "Kannada", "ko": "Korean", "ku": "Kurdish", "ky": "Kyrgyz",
|
||||
"la": "Latin", "lo": "Lao", "lt": "Lithuanian", "lv": "Latvian", "mg": "Malagasy", "mk": "Macedonian",
|
||||
"ml": "Malayalam", "mn": "Mongolian", "mr": "Marathi", "ms": "Malay", "my": "Burmese", "ne": "Nepali",
|
||||
"nl": "Dutch", "no": "Norwegian", "om": "Oromo", "or": "Oriya", "pa": "Punjabi", "pl": "Polish",
|
||||
"ps": "Pashto", "pt": "Portuguese", "ro": "Romanian", "ru": "Russian", "sa": "Sanskrit", "sd": "Sindhi",
|
||||
"si": "Sinhala", "sk": "Slovak", "sl": "Slovenian", "so": "Somali", "sq": "Albanian", "sr": "Serbian",
|
||||
"su": "Sundanese", "sv": "Swedish", "sw": "Swahili", "ta": "Tamil", "te": "Telugu", "th": "Thai",
|
||||
"tl": "Tagalog", "tr": "Turkish", "ug": "Uyghur", "uk": "Ukrainian", "ur": "Urdu", "uz": "Uzbek",
|
||||
"vi": "Vietnamese", "xh": "Xhosa", "yi": "Yiddish", "zh": "Chinese", "_math": "Math"
|
||||
};
|
||||
|
||||
const embeddingModelUpdateHandler = async () => {
|
||||
if (embeddingEngine === '' && embeddingModel.split('/').length - 1 > 1) {
|
||||
@ -124,6 +145,10 @@
|
||||
};
|
||||
|
||||
const submitHandler = async () => {
|
||||
if (RAGConfig.CONTENT_EXTRACTION_ENGINE === 'datalab_marker' && !RAGConfig.DATALAB_MARKER_API_KEY) {
|
||||
toast.error($i18n.t('Datalab Marker API Key required.'));
|
||||
return;
|
||||
}
|
||||
if (
|
||||
RAGConfig.CONTENT_EXTRACTION_ENGINE === 'external' &&
|
||||
RAGConfig.EXTERNAL_DOCUMENT_LOADER_URL === ''
|
||||
@ -200,8 +225,26 @@
|
||||
const config = await getRAGConfig(localStorage.token);
|
||||
config.ALLOWED_FILE_EXTENSIONS = (config?.ALLOWED_FILE_EXTENSIONS ?? []).join(', ');
|
||||
|
||||
if (!config.DATALAB_MARKER_OUTPUT_FORMAT) {
|
||||
config.DATALAB_MARKER_OUTPUT_FORMAT = 'markdown';
|
||||
}
|
||||
|
||||
if (config.DATALAB_MARKER_LANGS) {
|
||||
selectedLanguages = config.DATALAB_MARKER_LANGS
|
||||
.split(',')
|
||||
.map(code => code.trim())
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
RAGConfig = config;
|
||||
langsHydrated = true;
|
||||
});
|
||||
|
||||
$: if (langsHydrated && RAGConfig) {
|
||||
RAGConfig.DATALAB_MARKER_LANGS = selectedLanguages.length
|
||||
? selectedLanguages.join(',')
|
||||
: 'en';
|
||||
}
|
||||
</script>
|
||||
|
||||
<ResetUploadDirConfirmDialog
|
||||
@ -271,6 +314,7 @@
|
||||
bind:value={RAGConfig.CONTENT_EXTRACTION_ENGINE}
|
||||
>
|
||||
<option value="">{$i18n.t('Default')}</option>
|
||||
<option value="datalab_marker">{ $i18n.t('Datalab Marker API') }</option>
|
||||
<option value="external">{$i18n.t('External')}</option>
|
||||
<option value="tika">{$i18n.t('Tika')}</option>
|
||||
<option value="docling">{$i18n.t('Docling')}</option>
|
||||
@ -291,6 +335,108 @@
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{:else if RAGConfig.CONTENT_EXTRACTION_ENGINE === 'datalab_marker'}
|
||||
<div class="my-0.5 flex gap-2 pr-2">
|
||||
<SensitiveInput
|
||||
placeholder={$i18n.t('Enter Datalab Marker API Key')}
|
||||
required={false}
|
||||
bind:value={RAGConfig.DATALAB_MARKER_API_KEY}
|
||||
/>
|
||||
</div>
|
||||
<div class="my-0.5 flex gap-2 pr-2 w-full">
|
||||
<div class="flex flex-col w-full">
|
||||
<label class="text-xs font-medium mb-1">
|
||||
{$i18n.t("OCR language(s). Hold Ctrl (Windows) or Cmd (Mac) to select multiple. If no selection defaults to English")}
|
||||
</label>
|
||||
<select
|
||||
class="w-full text-sm bg-transparent border border-gray-300 dark:border-gray-700 rounded-sm p-1 outline-hidden"
|
||||
multiple
|
||||
size="6"
|
||||
bind:value={selectedLanguages}
|
||||
>
|
||||
{#each Object.entries(SUPPORTED_LANGUAGES) as [code, label]}
|
||||
<option value={code}>{label}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t('Significantly improves accuracy by using an LLM to enhance tables, forms, inline math, and layout detection. Will increase latency. Defaults to True.')} placement="top-start">
|
||||
{$i18n.t('Use LLM')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="flex items-center">
|
||||
<Switch bind:state={RAGConfig.DATALAB_MARKER_USE_LLM} />
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t('Skip the cache and re-run the inference. Defaults to False.')} placement="top-start">
|
||||
{$i18n.t('Skip Cache')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="flex items-center">
|
||||
<Switch bind:state={RAGConfig.DATALAB_MARKER_SKIP_CACHE} />
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t('Force OCR on all pages of the PDF. This can lead to worse results if you have good text in your PDFs. Defaults to False.')} placement="top-start">
|
||||
{$i18n.t('Force OCR')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="flex items-center">
|
||||
<Switch bind:state={RAGConfig.DATALAB_MARKER_FORCE_OCR} />
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t('Whether to paginate the output. Each page will be separated by a horizontal rule and page number. Defaults to False.')} placement="top-start">
|
||||
{$i18n.t('Paginate')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="flex items-center">
|
||||
<Switch bind:state={RAGConfig.DATALAB_MARKER_PAGINATE} />
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t('Strip existing OCR text from the PDF and re-run OCR. Ignored if Force OCR is enabled. Defaults to False.')} placement="top-start">
|
||||
{$i18n.t('Strip Existing OCR')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="flex items-center">
|
||||
<Switch bind:state={RAGConfig.DATALAB_MARKER_STRIP_EXISTING_OCR} />
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t('Disable image extraction from the PDF. If Use LLM is enabled, images will be automatically captioned. Defaults to False.')} placement="top-start">
|
||||
{$i18n.t('Disable Image Extraction')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="flex items-center">
|
||||
<Switch bind:state={RAGConfig.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION} />
|
||||
</div>
|
||||
</div>
|
||||
<div class="mb-1 flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium">
|
||||
<Tooltip content={$i18n.t("The output format for the text. Can be 'json', 'markdown', or 'html'. Defaults to 'markdown'.")} placement="top-start">
|
||||
{$i18n.t('Output Format')}
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div class="">
|
||||
<select
|
||||
class="dark:bg-gray-900 w-fit pr-8 rounded-sm px-2 text-xs bg-transparent outline-hidden text-right"
|
||||
bind:value={RAGConfig.DATALAB_MARKER_OUTPUT_FORMAT}
|
||||
>
|
||||
<option value="markdown">{$i18n.t('Markdown')}</option>
|
||||
<option value="json">{$i18n.t('JSON')}</option>
|
||||
<option value="html">{$i18n.t('HTML')}</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
{:else if RAGConfig.CONTENT_EXTRACTION_ENGINE === 'external'}
|
||||
<div class="my-0.5 flex gap-2 pr-2">
|
||||
<input
|
||||
|
||||
Loading…
Reference in New Issue
Block a user