Feature big query connector (#15871)

### What problem does this PR solve?

This PR adds Google BigQuery as a first-class data source connector in
RAGFlow.

It enables users to ingest and sync BigQuery data using the same
row-to-document model used by relational database connectors: selected
content columns become document text, metadata columns become document
metadata, an optional ID column provides stable document IDs, and an
optional timestamp column enables cursor-based incremental sync.

The connector supports service-account JSON credentials, table mode,
custom query mode, GoogleSQL queries, cursor-based incremental sync,
deleted-row pruning support, configurable query limits such as
`maximum_bytes_billed`, dry-run validation, batch loading, stable
document IDs, and BigQuery-aware value serialization.

web/src/components/markdown-content/index.tsx

@@ -1,5 +1,6 @@
 import Image from '@/components/image';
 import SvgIcon from '@/components/svg-icon';
+import { MarkdownRemarkPlugins } from '@/constants/markdown-remark-plugins';
 import { IReference, IReferenceChunk } from '@/interfaces/database/chat';
 import { citationMarkerReg } from '@/utils/citation-utils';
 import { getExtension } from '@/utils/document-util';
@@ -10,7 +11,6 @@ import Markdown from 'react-markdown';
 import SyntaxHighlighter from 'react-syntax-highlighter';
 import rehypeKatex from 'rehype-katex';
 import rehypeRaw from 'rehype-raw';
-import { MarkdownRemarkPlugins } from '@/constants/markdown-remark-plugins';
 import { visitParents } from 'unist-util-visit-parents';
 
 import { useTranslation } from 'react-i18next';
@@ -72,7 +72,11 @@ const MarkdownContent = ({
       text = t('chat.searching');
     }
     const nextText = replaceTextByOldReg(text);
-    return pipe(replaceThinkToSection, replaceRetrievingToSection, preprocessLaTeX)(nextText);
+    return pipe(
+      replaceThinkToSection,
+      replaceRetrievingToSection,
+      preprocessLaTeX,
+    )(nextText);
   }, [content, t]);
 
   useEffect(() => {

web/src/components/paddleocr-options-form-field.tsx

@@ -6,7 +6,14 @@ import { buildOptions } from '@/utils/form';
 import { useFormContext, useWatch } from 'react-hook-form';
 import { useTranslation } from 'react-i18next';
 
-const algorithmOptions = buildOptions(['PaddleOCR-VL-1.6', 'PaddleOCR-VL-1.5', 'PaddleOCR-VL', 'PP-OCRv6', 'PP-OCRv5', 'PP-StructureV3']);
+const algorithmOptions = buildOptions([
+  'PaddleOCR-VL-1.6',
+  'PaddleOCR-VL-1.5',
+  'PaddleOCR-VL',
+  'PP-OCRv6',
+  'PP-OCRv5',
+  'PP-StructureV3',
+]);
 
 export function PaddleOCROptionsFormField({
   namePrefix = 'parser_config',
@@ -57,7 +64,10 @@ export function PaddleOCROptionsFormField({
 
       <RAGFlowFormItem
         name={buildName('paddleocr_access_token')}
-        label={t('knowledgeConfiguration.paddleocrAccessToken', 'AI Studio Access Token')}
+        label={t(
+          'knowledgeConfiguration.paddleocrAccessToken',
+          'AI Studio Access Token',
+        )}
         tooltip={t(
           'knowledgeConfiguration.paddleocrAccessTokenTip',
           'Access token for PaddleOCR API (optional)',
@@ -67,14 +77,19 @@ export function PaddleOCROptionsFormField({
         {(field) => (
           <Input
             {...field}
-            placeholder={t('knowledgeConfiguration.paddleocrAccessTokenPlaceholder')}
+            placeholder={t(
+              'knowledgeConfiguration.paddleocrAccessTokenPlaceholder',
+            )}
           />
         )}
       </RAGFlowFormItem>
 
       <RAGFlowFormItem
         name={buildName('paddleocr_algorithm')}
-        label={t('knowledgeConfiguration.paddleocrAlgorithm', 'PaddleOCR Algorithm')}
+        label={t(
+          'knowledgeConfiguration.paddleocrAlgorithm',
+          'PaddleOCR Algorithm',
+        )}
         tooltip={t(
           'knowledgeConfiguration.paddleocrAlgorithmTip',
           'Algorithm to use for PaddleOCR parsing',