Feature/mineru improvements (#11938)

我已在下面的评论中用中文重复说明。

### What problem does this PR solve?

## Summary
This PR enhances the MinerU document parser with additional
configuration options, giving users more control over PDF parsing
behavior and improving support for multilingual documents.

## Changes

### Backend (`deepdoc/parser/mineru_parser.py`)
- Added configurable parsing options:
- **Parse Method**: `auto`, `txt`, or `ocr` — allows users to choose the
extraction strategy
- **Formula Recognition**: Toggle for enabling/disabling formula
extraction (useful to disable for Cyrillic documents where it may cause
issues)
- **Table Recognition**: Toggle for enabling/disabling table extraction
- Added language code mapping (`LANGUAGE_TO_MINERU_MAP`) to translate
RAGFlow language settings to MinerU-compatible language codes for better
OCR accuracy
- Improved parser configuration handling to pass these options through
the processing pipeline

### Frontend (`web/`)
- Created new `MinerUOptionsFormField` component that conditionally
renders when MinerU is selected as the layout recognition engine
- Added UI controls for:
  - Parse method selection (dropdown)
  - Formula recognition toggle (switch)
  - Table recognition toggle (switch)
- Added i18n translations for English and Chinese
- Integrated the options into both the dataset creation dialog and
dataset settings page

### Integration
- Updated `rag/app/naive.py` to forward MinerU options to the parser
- Updated task service to handle the new configuration parameters

## Why
MinerU is a powerful document parser, but the default settings don't
work well for all document types. This PR allows users to:
1. Choose the best parsing method for their documents
2. Disable formula recognition for Cyrillic/non-Latin scripts where it
causes issues
3. Control table extraction based on document needs
4. Benefit from automatic language detection for better OCR results

## Testing
- [x] Tested MinerU parsing with different parse methods
- [x] Verified UI renders correctly when MinerU is selected/deselected
- [x] Confirmed settings persist correctly in dataset configuration

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [x] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

---------

Co-authored-by: user210 <user210@rt>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
This commit is contained in:
concertdictate
2025-12-16 07:15:25 +02:00
committed by GitHub
parent 1112b6291b
commit 49c74d08e8
13 changed files with 371 additions and 46 deletions

View File

@ -121,6 +121,13 @@ class TaskService(CommonService):
.where(cls.model.id == task_id)
)
docs = list(docs.dicts())
# Assuming docs = list(docs.dicts())
if docs:
kb_config = docs[0]['kb_parser_config'] # Dict from Knowledgebase.parser_config
mineru_method = kb_config.get('mineru_parse_method', 'auto')
mineru_formula = kb_config.get('mineru_formula_enable', True)
mineru_table = kb_config.get('mineru_table_enable', True)
print(mineru_method, mineru_formula, mineru_table)
if not docs:
return None

View File

@ -24,6 +24,7 @@ import tempfile
import threading
import time
import zipfile
from dataclasses import dataclass
from io import BytesIO
from os import PathLike
from pathlib import Path
@ -53,6 +54,87 @@ class MinerUContentType(StrEnum):
DISCARDED = "discarded"
# Mapping from language names to MinerU language codes
LANGUAGE_TO_MINERU_MAP = {
'English': 'en',
'Chinese': 'ch',
'Traditional Chinese': 'chinese_cht',
'Russian': 'east_slavic',
'Ukrainian': 'east_slavic',
'Indonesian': 'latin',
'Spanish': 'latin',
'Vietnamese': 'latin',
'Japanese': 'japan',
'Korean': 'korean',
'Portuguese BR': 'latin',
'German': 'latin',
'French': 'latin',
'Italian': 'latin',
'Tamil': 'ta',
'Telugu': 'te',
'Kannada': 'ka',
'Thai': 'th',
'Greek': 'el',
'Hindi': 'devanagari',
}
class MinerUBackend(StrEnum):
"""MinerU processing backend options."""
PIPELINE = "pipeline" # Traditional multimodel pipeline (default)
VLM_TRANSFORMERS = "vlm-transformers" # Vision-language model using HuggingFace Transformers
VLM_MLX_ENGINE = "vlm-mlx-engine" # Faster, requires Apple Silicon and macOS 13.5+
VLM_VLLM_ENGINE = "vlm-vllm-engine" # Local vLLM engine, requires local GPU
VLM_VLLM_ASYNC_ENGINE = "vlm-vllm-async-engine" # Asynchronous vLLM engine, new in MinerU API
VLM_LMDEPLOY_ENGINE = "vlm-lmdeploy-engine" # LMDeploy engine
VLM_HTTP_CLIENT = "vlm-http-client" # HTTP client for remote vLLM server (CPU only)
class MinerULanguage(StrEnum):
"""MinerU supported languages for OCR (pipeline backend only)."""
CH = "ch" # Chinese
CH_SERVER = "ch_server" # Chinese (server)
CH_LITE = "ch_lite" # Chinese (lite)
EN = "en" # English
KOREAN = "korean" # Korean
JAPAN = "japan" # Japanese
CHINESE_CHT = "chinese_cht" # Chinese Traditional
TA = "ta" # Tamil
TE = "te" # Telugu
KA = "ka" # Kannada
TH = "th" # Thai
EL = "el" # Greek
LATIN = "latin" # Latin
ARABIC = "arabic" # Arabic
EAST_SLAVIC = "east_slavic" # East Slavic
CYRILLIC = "cyrillic" # Cyrillic
DEVANAGARI = "devanagari" # Devanagari
class MinerUParseMethod(StrEnum):
"""MinerU PDF parsing methods (pipeline backend only)."""
AUTO = "auto" # Automatically determine the method based on the file type
TXT = "txt" # Use text extraction method
OCR = "ocr" # Use OCR method for image-based PDFs
@dataclass
class MinerUParseOptions:
"""Options for MinerU PDF parsing."""
backend: MinerUBackend = MinerUBackend.PIPELINE
lang: Optional[MinerULanguage] = None # language for OCR (pipeline backend only)
method: MinerUParseMethod = MinerUParseMethod.AUTO
server_url: Optional[str] = None
delete_output: bool = True
parse_method: str = "raw"
formula_enable: bool = True
table_enable: bool = True
class MinerUParser(RAGFlowPdfParser):
def __init__(self, mineru_path: str = "mineru", mineru_api: str = "", mineru_server_url: str = ""):
self.mineru_path = Path(mineru_path)
@ -96,7 +178,8 @@ class MinerUParser(RAGFlowPdfParser):
with open(full_path, "wb") as f:
f.write(zip_ref.read(filename))
def _is_http_endpoint_valid(self, url, timeout=5):
@staticmethod
def _is_http_endpoint_valid(url, timeout=5):
try:
response = requests.head(url, timeout=timeout, allow_redirects=True)
return response.status_code in [200, 301, 302, 307, 308]
@ -141,7 +224,8 @@ class MinerUParser(RAGFlowPdfParser):
self.logger.warning(f"[MinerU] vlm-http-client server check failed: {e}")
try:
response = requests.get(server_url, timeout=5)
self.logger.info(f"[MinerU] vlm-http-client server connection check: success with status {response.status_code}")
self.logger.info(
f"[MinerU] vlm-http-client server connection check: success with status {response.status_code}")
self.using_api = False
return True, reason
except Exception as e:
@ -185,14 +269,15 @@ class MinerUParser(RAGFlowPdfParser):
return False, reason
def _run_mineru(
self, input_path: Path, output_dir: Path, method: str = "auto", backend: str = "pipeline", lang: Optional[str] = None, server_url: Optional[str] = None, callback: Optional[Callable] = None
self, input_path: Path, output_dir: Path, options: MinerUParseOptions, callback: Optional[Callable] = None
):
if self.using_api:
self._run_mineru_api(input_path, output_dir, method, backend, lang, callback)
self._run_mineru_api(input_path, output_dir, options, callback)
else:
self._run_mineru_executable(input_path, output_dir, method, backend, lang, server_url, callback)
self._run_mineru_executable(input_path, output_dir, options, callback)
def _run_mineru_api(self, input_path: Path, output_dir: Path, method: str = "auto", backend: str = "pipeline", lang: Optional[str] = None, callback: Optional[Callable] = None):
def _run_mineru_api(self, input_path: Path, output_dir: Path, options: MinerUParseOptions,
callback: Optional[Callable] = None):
output_zip_path = os.path.join(str(output_dir), "output.zip")
pdf_file_path = str(input_path)
@ -201,18 +286,18 @@ class MinerUParser(RAGFlowPdfParser):
raise RuntimeError(f"[MinerU] PDF file not exists: {pdf_file_path}")
pdf_file_name = Path(pdf_file_path).stem.strip()
output_path = os.path.join(str(output_dir), pdf_file_name, method)
output_path = os.path.join(str(output_dir), pdf_file_name, options.method)
os.makedirs(output_path, exist_ok=True)
files = {"files": (pdf_file_name + ".pdf", open(pdf_file_path, "rb"), "application/pdf")}
data = {
"output_dir": "./output",
"lang_list": lang,
"backend": backend,
"parse_method": method,
"formula_enable": True,
"table_enable": True,
"lang_list": options.lang,
"backend": options.backend,
"parse_method": options.method,
"formula_enable": options.formula_enable,
"table_enable": options.table_enable,
"server_url": None,
"return_md": True,
"return_middle_json": True,
@ -229,7 +314,8 @@ class MinerUParser(RAGFlowPdfParser):
self.logger.info(f"[MinerU] invoke api: {self.mineru_api}/file_parse")
if callback:
callback(0.20, f"[MinerU] invoke api: {self.mineru_api}/file_parse")
response = requests.post(url=f"{self.mineru_api}/file_parse", files=files, data=data, headers=headers, timeout=1800)
response = requests.post(url=f"{self.mineru_api}/file_parse", files=files, data=data, headers=headers,
timeout=1800)
response.raise_for_status()
if response.headers.get("Content-Type") == "application/zip":
@ -253,15 +339,15 @@ class MinerUParser(RAGFlowPdfParser):
self.logger.info("[MinerU] Api completed successfully.")
def _run_mineru_executable(
self, input_path: Path, output_dir: Path, method: str = "auto", backend: str = "pipeline", lang: Optional[str] = None, server_url: Optional[str] = None, callback: Optional[Callable] = None
self, input_path: Path, output_dir: Path, options: MinerUParseOptions, callback: Optional[Callable] = None
):
cmd = [str(self.mineru_path), "-p", str(input_path), "-o", str(output_dir), "-m", method]
if backend:
cmd.extend(["-b", backend])
if lang:
cmd.extend(["-l", lang])
if server_url and backend == "vlm-http-client":
cmd.extend(["-u", server_url])
cmd = [str(self.mineru_path), "-p", str(input_path), "-o", str(output_dir), "-m", options.method]
if options.backend:
cmd.extend(["-b", options.backend])
if options.lang:
cmd.extend(["-l", options.lang])
if options.server_url and options.backend == "vlm-http-client":
cmd.extend(["-u", options.server_url])
self.logger.info(f"[MinerU] Running command: {' '.join(cmd)}")
@ -313,7 +399,8 @@ class MinerUParser(RAGFlowPdfParser):
try:
with pdfplumber.open(fnm) if isinstance(fnm, (str, PathLike)) else pdfplumber.open(BytesIO(fnm)) as pdf:
self.pdf = pdf
self.page_images = [p.to_image(resolution=72 * zoomin, antialias=True).original for _, p in enumerate(self.pdf.pages[page_from:page_to])]
self.page_images = [p.to_image(resolution=72 * zoomin, antialias=True).original for _, p in
enumerate(self.pdf.pages[page_from:page_to])]
except Exception as e:
self.page_images = None
self.total_page = 0
@ -375,7 +462,8 @@ class MinerUParser(RAGFlowPdfParser):
pos = poss[-1]
last_page_idx = pos[0][-1]
if not (0 <= last_page_idx < page_count):
self.logger.warning(f"[MinerU] Last page index {last_page_idx} out of range for {page_count} pages; skipping crop.")
self.logger.warning(
f"[MinerU] Last page index {last_page_idx} out of range for {page_count} pages; skipping crop.")
if need_position:
return None, None
return
@ -401,10 +489,12 @@ class MinerUParser(RAGFlowPdfParser):
if 0 <= pn - 1 < page_count:
bottom += self.page_images[pn - 1].size[1]
else:
self.logger.warning(f"[MinerU] Page index {pn}-1 out of range for {page_count} pages during crop; skipping height accumulation.")
self.logger.warning(
f"[MinerU] Page index {pn}-1 out of range for {page_count} pages during crop; skipping height accumulation.")
if not (0 <= pns[0] < page_count):
self.logger.warning(f"[MinerU] Base page index {pns[0]} out of range for {page_count} pages during crop; skipping this segment.")
self.logger.warning(
f"[MinerU] Base page index {pns[0]} out of range for {page_count} pages during crop; skipping this segment.")
continue
img0 = self.page_images[pns[0]]
@ -417,7 +507,8 @@ class MinerUParser(RAGFlowPdfParser):
bottom -= img0.size[1]
for pn in pns[1:]:
if not (0 <= pn < page_count):
self.logger.warning(f"[MinerU] Page index {pn} out of range for {page_count} pages during crop; skipping this page.")
self.logger.warning(
f"[MinerU] Page index {pn} out of range for {page_count} pages during crop; skipping this page.")
continue
page = self.page_images[pn]
x0, y0, x1, y1 = int(left), 0, int(right), int(min(bottom, page.size[1]))
@ -461,7 +552,8 @@ class MinerUParser(RAGFlowPdfParser):
poss.append(([int(p) - 1 for p in pn.split("-")], left, right, top, bottom))
return poss
def _read_output(self, output_dir: Path, file_stem: str, method: str = "auto", backend: str = "pipeline") -> list[dict[str, Any]]:
def _read_output(self, output_dir: Path, file_stem: str, method: str = "auto", backend: str = "pipeline") -> list[
dict[str, Any]]:
candidates = []
seen = set()
@ -543,11 +635,13 @@ class MinerUParser(RAGFlowPdfParser):
case MinerUContentType.TEXT:
section = output["text"]
case MinerUContentType.TABLE:
section = output.get("table_body", "") + "\n".join(output.get("table_caption", [])) + "\n".join(output.get("table_footnote", []))
section = output.get("table_body", "") + "\n".join(output.get("table_caption", [])) + "\n".join(
output.get("table_footnote", []))
if not section.strip():
section = "FAILED TO PARSE TABLE"
case MinerUContentType.IMAGE:
section = "".join(output.get("image_caption", [])) + "\n" + "".join(output.get("image_footnote", []))
section = "".join(output.get("image_caption", [])) + "\n" + "".join(
output.get("image_footnote", []))
case MinerUContentType.EQUATION:
section = output["text"]
case MinerUContentType.CODE:
@ -576,17 +670,23 @@ class MinerUParser(RAGFlowPdfParser):
*,
output_dir: Optional[str] = None,
backend: str = "pipeline",
lang: Optional[str] = None,
method: str = "auto",
server_url: Optional[str] = None,
delete_output: bool = True,
parse_method: str = "raw",
**kwargs,
) -> tuple:
import shutil
temp_pdf = None
created_tmp_dir = False
# Assuming the dict is defined as shown
lang = kwargs.get('lang', 'English')
mineru_lang_code = LANGUAGE_TO_MINERU_MAP.get(lang, 'ch') # Returns 'ch' if lang not found
mineru_method_raw_str = kwargs.get('parser_config', {}).get('mineru_parse_method', 'auto')
enable_formula = kwargs.get('parser_config', {}).get('mineru_formula_enable', True)
enable_table = kwargs.get('parser_config', {}).get('mineru_enable', True)
# remove spaces, or mineru crash, and _read_output fail too
file_path = Path(filepath)
pdf_file_name = file_path.stem.replace(" ", "") + ".pdf"
@ -625,8 +725,18 @@ class MinerUParser(RAGFlowPdfParser):
self.__images__(pdf, zoomin=1)
try:
self._run_mineru(pdf, out_dir, method=method, backend=backend, lang=lang, server_url=server_url, callback=callback)
outputs = self._read_output(out_dir, pdf.stem, method=method, backend=backend)
options = MinerUParseOptions(
backend=MinerUBackend(backend),
lang=MinerULanguage(mineru_lang_code),
method=MinerUParseMethod(mineru_method_raw_str),
server_url=server_url,
delete_output=delete_output,
parse_method=parse_method,
formula_enable=enable_formula,
table_enable=enable_table,
)
self._run_mineru(pdf, out_dir, options, callback=callback)
outputs = self._read_output(out_dir, pdf.stem, method=mineru_method_raw_str, backend=backend)
self.logger.info(f"[MinerU] Parsed {len(outputs)} blocks from PDF.")
if callback:
callback(0.75, f"[MinerU] Parsed {len(outputs)} blocks from PDF.")

View File

@ -85,6 +85,8 @@ def by_mineru(filename, binary=None, from_page=0, to_page=100000, lang="Chinese"
binary=binary,
callback=callback,
parse_method=parse_method,
lang=lang,
**kwargs
)
return sections, tables, pdf_parser
except Exception as e:
@ -94,6 +96,9 @@ def by_mineru(filename, binary=None, from_page=0, to_page=100000, lang="Chinese"
callback(-1, "MinerU not found.")
return None, None, None
def by_docling(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", callback=None, pdf_cls = None ,**kwargs):
pdf_parser = DoclingParser()
parse_method = kwargs.get("parse_method", "raw")

View File

@ -82,5 +82,6 @@ class MinerUOcrModel(Base, MinerUParser):
server_url=self.mineru_server_url,
delete_output=self.mineru_delete_output,
parse_method=parse_method,
**kwargs
)
return sections, tables

View File

@ -0,0 +1,97 @@
import { RAGFlowFormItem } from '@/components/ragflow-form';
import { RAGFlowSelect } from '@/components/ui/select';
import { Switch } from '@/components/ui/switch';
import { LLMFactory } from '@/constants/llm';
import { buildOptions } from '@/utils/form';
import { useFormContext, useWatch } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
const parseMethodOptions = buildOptions(['auto', 'txt', 'ocr']);
export function MinerUOptionsFormField() {
const form = useFormContext();
const { t } = useTranslation();
const layoutRecognize = useWatch({
control: form.control,
name: 'parser_config.layout_recognize',
});
// Check if MinerU is selected (the value contains 'MinerU' or matches the factory name)
const isMinerUSelected =
layoutRecognize?.includes(LLMFactory.MinerU) ||
layoutRecognize?.toLowerCase()?.includes('mineru');
if (!isMinerUSelected) {
return null;
}
return (
<div className="space-y-4 border-l-2 border-primary/30 pl-4 ml-2">
<div className="text-sm font-medium text-text-secondary">
{t('knowledgeConfiguration.mineruOptions', 'MinerU Options')}
</div>
<RAGFlowFormItem
name="parser_config.mineru_parse_method"
label={t('knowledgeConfiguration.mineruParseMethod', 'Parse Method')}
tooltip={t(
'knowledgeConfiguration.mineruParseMethodTip',
'Method for parsing PDF: auto (automatic detection), txt (text extraction), ocr (optical character recognition)',
)}
horizontal={true}
>
{(field) => (
<RAGFlowSelect
value={field.value || 'auto'}
onChange={field.onChange}
options={parseMethodOptions}
placeholder={t('common.selectPlaceholder', 'Select value')}
/>
)}
</RAGFlowFormItem>
<RAGFlowFormItem
name="parser_config.mineru_formula_enable"
label={t(
'knowledgeConfiguration.mineruFormulaEnable',
'Formula Recognition',
)}
tooltip={t(
'knowledgeConfiguration.mineruFormulaEnableTip',
'Enable formula recognition. Note: This may not work correctly for Cyrillic documents.',
)}
horizontal={true}
labelClassName="!mb-0"
>
{(field) => (
<Switch
checked={field.value ?? true}
onCheckedChange={field.onChange}
/>
)}
</RAGFlowFormItem>
<RAGFlowFormItem
name="parser_config.mineru_table_enable"
label={t(
'knowledgeConfiguration.mineruTableEnable',
'Table Recognition',
)}
tooltip={t(
'knowledgeConfiguration.mineruTableEnableTip',
'Enable table recognition and extraction.',
)}
horizontal={true}
labelClassName="!mb-0"
>
{(field) => (
<Switch
checked={field.value ?? true}
onCheckedChange={field.onChange}
/>
)}
</RAGFlowFormItem>
</div>
);
}

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@ -103,14 +103,22 @@ export const LanguageTranslationMap = {
Chinese: 'zh',
'Traditional Chinese': 'zh-TRADITIONAL',
Russian: 'ru',
Indonesia: 'id',
Indonesian: 'id',
Spanish: 'es',
Vietnamese: 'vi',
Japanese: 'ja',
Korean: 'ko',
'Portuguese BR': 'pt-br',
German: 'de',
French: 'fr',
Italian: 'it',
Tamil: 'ta',
Telugu: 'te',
Kannada: 'ka',
Thai: 'th',
Greek: 'el',
Hindi: 'hi',
Ukrainian: 'uk',
};
export enum FileMimeType {

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@ -330,6 +330,15 @@ export default {
reRankModelWaring: 'Re-rank model is very time consuming.',
},
knowledgeConfiguration: {
mineruOptions: 'MinerU Options',
mineruParseMethod: 'Parse Method',
mineruParseMethodTip:
'Method for parsing PDF: auto (automatic detection), txt (text extraction), ocr (optical character recognition)',
mineruFormulaEnable: 'Formula Recognition',
mineruFormulaEnableTip:
'Enable formula recognition. Note: This may not work correctly for Cyrillic documents.',
mineruTableEnable: 'Table Recognition',
mineruTableEnableTip: 'Enable table recognition and extraction.',
overlappedPercent: 'Overlapped percent(%)',
generationScopeTip:
'Determines whether RAPTOR is generated for the entire dataset or for a single file.',

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@ -265,6 +265,15 @@ export default {
theDocumentBeingParsedCannotBeDeleted: '正在解析的文档不能被删除',
},
knowledgeConfiguration: {
mineruOptions: 'MinerU 选项',
mineruParseMethod: '解析方法',
mineruParseMethodTip:
'PDF 解析方法auto自动检测、txt文本提取、ocr光学字符识别',
mineruFormulaEnable: '公式识别',
mineruFormulaEnableTip:
'启用公式识别。注意:对于西里尔文档可能无法正常工作。',
mineruTableEnable: '表格识别',
mineruTableEnableTip: '启用表格识别和提取。',
generationScopeTip: '选择 RAPTOR 的生成范围:整个知识库或单个文件。',
generationScope: '生成范围',
scopeSingleFile: '单文件',

View File

@ -6,6 +6,7 @@ import { DelimiterFormField } from '@/components/delimiter-form-field';
import { ExcelToHtmlFormField } from '@/components/excel-to-html-form-field';
import { LayoutRecognizeFormField } from '@/components/layout-recognize-form-field';
import { MaxTokenNumberFormField } from '@/components/max-token-number-from-field';
import { MinerUOptionsFormField } from '@/components/mineru-options-form-field';
import {
ConfigurationFormContainer,
MainContainer,
@ -17,6 +18,7 @@ export function NaiveConfiguration() {
<MainContainer>
<ConfigurationFormContainer>
<LayoutRecognizeFormField></LayoutRecognizeFormField>
<MinerUOptionsFormField></MinerUOptionsFormField>
<MaxTokenNumberFormField initialValue={512}></MaxTokenNumberFormField>
<DelimiterFormField></DelimiterFormField>
<EnableTocToggle />

View File

@ -13,6 +13,7 @@ export const formSchema = z
// avatar: z.instanceof(File),
avatar: z.any().nullish(),
permission: z.string().optional(),
language: z.string().optional(),
parser_id: z.string(),
pipeline_id: z.string().optional(),
pipeline_name: z.string().optional(),
@ -30,6 +31,10 @@ export const formSchema = z
topn_tags: z.number().optional(),
toc_extraction: z.boolean().optional(),
overlapped_percent: z.number().optional(),
// MinerU-specific options
mineru_parse_method: z.enum(['auto', 'txt', 'ocr']).optional(),
mineru_formula_enable: z.boolean().optional(),
mineru_table_enable: z.boolean().optional(),
raptor: z
.object({
use_raptor: z.boolean().optional(),

View File

@ -1,5 +1,7 @@
import { AvatarUpload } from '@/components/avatar-upload';
import { SelectWithSearch } from '@/components/originui/select-with-search';
import PageRankFormField from '@/components/page-rank-form-field';
import { RAGFlowFormItem } from '@/components/ragflow-form';
import {
FormControl,
FormField,
@ -8,6 +10,8 @@ import {
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import { LanguageTranslationMap } from '@/constants/common';
import { useMemo } from 'react';
import { useFormContext } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
import { TagItems } from './components/tag-item';
@ -18,6 +22,13 @@ export function GeneralForm() {
const form = useFormContext();
const { t } = useTranslation();
const languageOptions = useMemo(() => {
return Object.keys(LanguageTranslationMap).map((x) => ({
label: x,
value: x,
}));
}, []);
return (
<>
<FormField
@ -41,6 +52,18 @@ export function GeneralForm() {
</FormItem>
)}
/>
<div className="items-center">
<RAGFlowFormItem
name="language"
label={t('common.language')}
horizontal={true}
>
<SelectWithSearch
options={languageOptions}
triggerClassName="w-full"
></SelectWithSearch>
</RAGFlowFormItem>
</div>
<FormField
control={form.control}
name="avatar"

View File

@ -58,6 +58,7 @@ export default function DatasetSettings() {
name: '',
parser_id: DocumentParserType.Naive,
permission: PermissionRole.Me,
language: 'English',
parser_config: {
layout_recognize: DocumentType.DeepDOC,
chunk_token_num: 512,
@ -68,6 +69,10 @@ export default function DatasetSettings() {
topn_tags: 3,
toc_extraction: false,
overlapped_percent: 0,
// MinerU-specific defaults
mineru_parse_method: 'auto',
mineru_formula_enable: true,
mineru_table_enable: true,
raptor: {
use_raptor: true,
max_token: 256,

View File

@ -16,10 +16,18 @@ import {
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from '@/components/ui/select';
import { LanguageTranslationMap } from '@/constants/common';
import { FormLayout } from '@/constants/form';
import { IModalProps } from '@/interfaces/common';
import { zodResolver } from '@hookform/resolvers/zod';
import { useEffect } from 'react';
import { useEffect, useMemo } from 'react';
import { useForm, useWatch } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
import { z } from 'zod';
@ -34,6 +42,13 @@ const FormId = 'dataset-creating-form';
export function InputForm({ onOk }: IModalProps<any>) {
const { t } = useTranslation();
const languageOptions = useMemo(() => {
return Object.keys(LanguageTranslationMap).map((x) => ({
label: x,
value: x,
}));
}, []);
const FormSchema = z
.object({
name: z
@ -51,6 +66,7 @@ export function InputForm({ onOk }: IModalProps<any>) {
.trim(),
parser_id: z.string().optional(),
pipeline_id: z.string().optional(),
language: z.string().optional(),
})
.superRefine((data, ctx) => {
// When parseType === 1, parser_id is required
@ -83,6 +99,7 @@ export function InputForm({ onOk }: IModalProps<any>) {
parseType: 1,
parser_id: '',
embd_id: '',
language: 'English',
},
});
@ -130,6 +147,33 @@ export function InputForm({ onOk }: IModalProps<any>) {
)}
/>
<FormField
control={form.control}
name="language"
render={({ field }) => (
<FormItem>
<FormLabel>{t('common.language')}</FormLabel>
<Select onValueChange={field.onChange} defaultValue={field.value}>
<FormControl>
<SelectTrigger>
<SelectValue
placeholder={t('common.languagePlaceholder')}
/>
</SelectTrigger>
</FormControl>
<SelectContent>
{languageOptions.map((option) => (
<SelectItem key={option.value} value={option.value}>
{option.label}
</SelectItem>
))}
</SelectContent>
</Select>
<FormMessage />
</FormItem>
)}
/>
<EmbeddingModelItem line={2} isEdit={false} />
<ParseTypeItem />
{parseType === 1 && <ChunkMethodItem></ChunkMethodItem>}