V4.9.11 feature (#4969)

* Feat: Images dataset collection (#4941)

* New pic (#4858)

* 更新数据集相关类型，添加图像文件ID和预览URL支持；优化数据集导入功能，新增图像数据集处理组件；修复部分国际化文本；更新文件上传逻辑以支持新功能。

* 与原先代码的差别

* 新增 V4.9.10 更新说明，支持 PG 设置`systemEnv.hnswMaxScanTuples`参数，优化 LLM stream 调用超时，修复全文检索多知识库排序问题。同时更新数据集索引，移除 datasetId 字段以简化查询。

* 更换成fileId_image逻辑，并增加训练队列匹配的逻辑

* 新增图片集合判断逻辑，优化预览URL生成流程，确保仅在数据集为图片集合时生成预览URL，并添加相关日志输出以便调试。

* Refactor Docker Compose configuration to comment out exposed ports for production environments, update image versions for pgvector, fastgpt, and mcp_server, and enhance Redis service with a health check. Additionally, standardize dataset collection labels in constants and improve internationalization strings across multiple languages.

* Enhance TrainingStates component by adding internationalization support for the imageParse training mode and update defaultCounts to include imageParse mode in trainingDetail API.

* Enhance dataset import context by adding additional steps for image dataset import process and improve internationalization strings for modal buttons in the useEditTitle hook.

* Update DatasetImportContext to conditionally render MyStep component based on data source type, improving the import process for non-image datasets.

* Refactor image dataset handling by improving internationalization strings, enhancing error messages, and streamlining the preview URL generation process.

* 图片上传到新建的 dataset_collection_images 表，逻辑跟随更改

* 修改了除了controller的其他部分问题

* 把图片数据集的逻辑整合到controller里面

* 补充i18n

* 补充i18n

* resolve评论：主要是上传逻辑的更改和组件复用

* 图片名称的图标显示

* 修改编译报错的命名问题

* 删除不需要的collectionid部分

* 多余文件的处理和改动一个删除按钮

* 除了loading和统一的imageId,其他都resolve掉的

* 处理图标报错

* 复用了MyPhotoView并采用全部替换的方式将imageFileId变成imageId

* 去除不必要文件修改

* 报错和字段修改

* 增加上传成功后删除临时文件的逻辑以及回退一些修改

* 删除path字段，将图片保存到gridfs内，并修改增删等操作的代码

* 修正编译错误

---------

Co-authored-by: archer <545436317@qq.com>

* perf: image dataset

* feat: insert image

* perf: image icon

* fix: training state

---------

Co-authored-by: Zhuangzai fa <143257420+ctrlz526@users.noreply.github.com>

* fix: ts (#4948)

* Thirddatasetmd (#4942)

* add thirddataset.md

* fix thirddataset.md

* fix

* delete wrong png

---------

Co-authored-by: dreamer6680 <146868355@qq.com>

* perf: api dataset code

* perf: log

* add secondary.tsx (#4946)

* add secondary.tsx

* fix

---------

Co-authored-by: dreamer6680 <146868355@qq.com>

* perf: multiple menu

* perf: i18n

* feat: parse queue (#4960)

* feat: parse queue

* feat: sync parse queue

* fix thirddataset.md (#4962)

* fix thirddataset-4.png (#4963)

* feat: Dataset template import (#4934)

* 模版导入部分除了文档还没写

* 修复模版导入的 build 错误

* Document production

* compress pictures

* Change some constants to variables

---------

Co-authored-by: Archer <545436317@qq.com>

* perf: template import

* doc

* llm pargraph

* bocha tool

* fix: del collection

---------

Co-authored-by: Zhuangzai fa <143257420+ctrlz526@users.noreply.github.com>
Co-authored-by: dreamer6680 <1468683855@qq.com>
Co-authored-by: dreamer6680 <146868355@qq.com>

packages/service/core/dataset/collection/utils.ts

@@ -1,11 +1,9 @@
 import { MongoDatasetCollection } from './schema';
-import { type ClientSession } from '../../../common/mongo';
+import type { ClientSession } from '../../../common/mongo';
 import { MongoDatasetCollectionTags } from '../tag/schema';
 import { readFromSecondary } from '../../../common/mongo/utils';
-import {
-  type CollectionWithDatasetType,
-  type DatasetCollectionSchemaType
-} from '@fastgpt/global/core/dataset/type';
+import type { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type';
+import { DatasetCollectionSchemaType } from '@fastgpt/global/core/dataset/type';
 import {
   DatasetCollectionDataProcessModeEnum,
   DatasetCollectionSyncResultEnum,
@@ -159,9 +157,7 @@ export const syncCollection = async (collection: CollectionWithDatasetType) => {
     return {
       type: DatasetSourceReadTypeEnum.apiFile,
       sourceId,
-      apiServer: dataset.apiServer,
-      feishuServer: dataset.feishuServer,
-      yuqueServer: dataset.yuqueServer
+      apiDatasetServer: dataset.apiDatasetServer
     };
   })();
 
@@ -196,31 +192,8 @@ export const syncCollection = async (collection: CollectionWithDatasetType) => {
       dataset,
       rawText: rawText,
       createCollectionParams: {
-        teamId: collection.teamId,
-        tmbId: collection.tmbId,
+        ...collection,
         name: title || collection.name,
-        datasetId: collection.datasetId,
-        parentId: collection.parentId,
-        type: collection.type,
-
-        trainingType: collection.trainingType,
-        chunkSize: collection.chunkSize,
-        chunkSplitter: collection.chunkSplitter,
-        qaPrompt: collection.qaPrompt,
-
-        fileId: collection.fileId,
-        rawLink: collection.rawLink,
-        externalFileId: collection.externalFileId,
-        externalFileUrl: collection.externalFileUrl,
-        apiFileId: collection.apiFileId,
-
-        hashRawText,
-        rawTextLength: rawText.length,
-
-        metadata: collection.metadata,
-
-        tags: collection.tags,
-        createTime: collection.createTime,
         updateTime: new Date()
       }
     });
@@ -233,18 +206,37 @@ export const syncCollection = async (collection: CollectionWithDatasetType) => {
   QA: 独立进程
   Chunk: Image Index -> Auto index -> chunk index
 */
-export const getTrainingModeByCollection = (collection: {
-  trainingType: DatasetCollectionSchemaType['trainingType'];
-  autoIndexes?: DatasetCollectionSchemaType['autoIndexes'];
-  imageIndex?: DatasetCollectionSchemaType['imageIndex'];
+export const getTrainingModeByCollection = ({
+  trainingType,
+  autoIndexes,
+  imageIndex
+}: {
+  trainingType: DatasetCollectionDataProcessModeEnum;
+  autoIndexes?: boolean;
+  imageIndex?: boolean;
 }) => {
-  if (collection.trainingType === DatasetCollectionDataProcessModeEnum.qa) {
+  if (
+    trainingType === DatasetCollectionDataProcessModeEnum.imageParse &&
+    global.feConfigs?.isPlus
+  ) {
+    return TrainingModeEnum.imageParse;
+  }
+
+  if (trainingType === DatasetCollectionDataProcessModeEnum.qa) {
     return TrainingModeEnum.qa;
   }
-  if (collection.imageIndex && global.feConfigs?.isPlus) {
+  if (
+    trainingType === DatasetCollectionDataProcessModeEnum.chunk &&
+    imageIndex &&
+    global.feConfigs?.isPlus
+  ) {
     return TrainingModeEnum.image;
   }
-  if (collection.autoIndexes && global.feConfigs?.isPlus) {
+  if (
+    trainingType === DatasetCollectionDataProcessModeEnum.chunk &&
+    autoIndexes &&
+    global.feConfigs?.isPlus
+  ) {
     return TrainingModeEnum.auto;
   }
   return TrainingModeEnum.chunk;