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/web/i18n/en/dataset.json

@@ -8,12 +8,11 @@
   "auto_indexes_tips": "Additional index generation is performed through large models to improve semantic richness and improve retrieval accuracy.",
   "auto_training_queue": "Enhanced index queueing",
   "backup_collection": "Backup data",
-  "backup_data_parse": "Backup data is being parsed",
-  "backup_data_uploading": "Backup data is being uploaded: {{num}}%",
   "backup_dataset": "Backup import",
   "backup_dataset_success": "The backup was created successfully",
   "backup_dataset_tip": "You can reimport the downloaded csv file when exporting the knowledge base.",
   "backup_mode": "Backup import",
+  "backup_template_invalid": "The backup file format is incorrect, it should be the csv file with the first column as q,a,indexes",
   "chunk_max_tokens": "max_tokens",
   "chunk_process_params": "Block processing parameters",
   "chunk_size": "Block size",
@@ -28,16 +27,21 @@
   "collection.training_type": "Chunk type",
   "collection_data_count": "Data amount",
   "collection_metadata_custom_pdf_parse": "PDF enhancement analysis",
+  "collection_name": "Collection name",
   "collection_not_support_retraining": "This collection type does not support retuning parameters",
   "collection_not_support_sync": "This collection does not support synchronization",
   "collection_sync": "Sync data",
   "collection_sync_confirm_tip": "Confirm to start synchronizing data? \nThe system will pull the latest data for comparison. If the contents are different, a new collection will be created and the old collection will be deleted. Please confirm!",
   "collection_tags": "Collection Tags",
+  "common.dataset.data.Input Error Tip": "[Image Dataset] Process error:",
+  "common.error.unKnow": "Unknown error",
   "common_dataset": "General Dataset",
   "common_dataset_desc": "Building a knowledge base by importing files, web page links, or manual entry",
   "condition": "condition",
   "config_sync_schedule": "Configure scheduled synchronization",
+  "confirm_import_images": "Total {{num}} | Confirm create",
   "confirm_to_rebuild_embedding_tip": "Are you sure you want to switch the index for the Dataset?\nSwitching the index is a significant operation that requires re-indexing all data in your Dataset, which may take a long time. Please ensure your account has sufficient remaining points.\n\nAdditionally, you need to update the applications that use this Dataset to avoid conflicts with other indexed model Datasets.",
+  "core.dataset.Image collection": "Image dataset",
   "core.dataset.import.Adjust parameters": "Adjust parameters",
   "custom_data_process_params": "Custom",
   "custom_data_process_params_desc": "Customize data processing rules",
@@ -46,8 +50,10 @@
   "data_error_amount": "{{errorAmount}} Group training exception",
   "data_index_image": "Image index",
   "data_index_num": "Index {{index}}",
+  "data_parsing": "Data analysis",
   "data_process_params": "Params",
   "data_process_setting": "Processing config",
+  "data_uploading": "Data is being uploaded: {{num}}%",
   "dataset.Chunk_Number": "Block number",
   "dataset.Completed": "Finish",
   "dataset.Delete_Chunk": "delete",
@@ -67,7 +73,9 @@
   "dataset.no_tags": "No tags available",
   "default_params": "default",
   "default_params_desc": "Use system default parameters and rules",
+  "download_csv_template": "Click to download the CSV template",
   "edit_dataset_config": "Edit knowledge base configuration",
+  "empty_collection": "Blank dataset",
   "enhanced_indexes": "Index enhancement",
   "error.collectionNotFound": "Collection not found~",
   "external_file": "External File Library",
@@ -90,6 +98,7 @@
   "image_auto_parse": "Automatic image indexing",
   "image_auto_parse_tips": "Call VLM to automatically label the pictures in the document and generate additional search indexes",
   "image_training_queue": "Queue of image processing",
+  "images_creating": "Creating",
   "immediate_sync": "Immediate Synchronization",
   "import.Auto mode Estimated Price Tips": "The text understanding model needs to be called, which requires more points: {{price}} points/1K tokens",
   "import.Embedding Estimated Price Tips": "Only use the index model and consume a small amount of AI points: {{price}} points/1K tokens",
@@ -104,6 +113,8 @@
   "index_size": "Index size",
   "index_size_tips": "When vectorized, the system will automatically further segment the blocks according to this size.",
   "input_required_field_to_select_baseurl": "Please enter the required information first",
+  "insert_images": "Added pictures",
+  "insert_images_success": "The new picture is successfully added, and you need to wait for the training to be completed before it will be displayed.",
   "is_open_schedule": "Enable scheduled synchronization",
   "keep_image": "Keep the picture",
   "loading": "Loading...",
@@ -135,6 +146,7 @@
   "process.Image_Index": "Image index generation",
   "process.Is_Ready": "Ready",
   "process.Is_Ready_Count": "{{count}} Group is ready",
+  "process.Parse_Image": "Image analysis",
   "process.Parsing": "Parsing",
   "process.Vectorizing": "Index vectorization",
   "process.Waiting": "Queue",
@@ -174,18 +186,28 @@
   "tag.searchOrAddTag": "Search or Add Tag",
   "tag.tags": "Tags",
   "tag.total_tags": "Total {{total}} tags",
+  "template_dataset": "Template import",
+  "template_file_invalid": "The template file format is incorrect, it should be the csv file with the first column as q,a,indexes",
+  "template_mode": "Template import",
   "the_knowledge_base_has_indexes_that_are_being_trained_or_being_rebuilt": "The Dataset has indexes that are being trained or rebuilt",
   "total_num_files": "Total {{total}} files",
   "training.Error": "{{count}} Group exception",
   "training.Normal": "Normal",
   "training_mode": "Chunk mode",
+  "training_queue_tip": "Training queue status",
   "training_ready": "{{count}} Group",
+  "upload_by_template_format": "Upload by template file",
+  "uploading_progress": "Uploading: {{num}}%",
   "vector_model_max_tokens_tip": "Each chunk of data has a maximum length of 3000 tokens",
+  "vector_training_queue": "Vector training queue",
   "vllm_model": "Image understanding model",
+  "vlm_model_required_tooltip": "A Vision Language Model is required to create image collections",
+  "vlm_model_required_warning": "Image datasets require a Vision Language Model (VLM) to be configured. Please add a model that supports image understanding in the model configuration first.",
+  "waiting_for_training": "Waiting for training",
   "website_dataset": "Website Sync",
   "website_dataset_desc": "Build knowledge base by crawling web page data in batches",
   "website_info": "Website Information",
-  "yuque_dataset": "Yuque Dataset",
-  "yuque_dataset_config": "Yuque Dataset Config",
-  "yuque_dataset_desc": "Can build a dataset using Yuque documents by configuring permissions, without secondary storage"
+  "yuque_dataset": "Yuque Knowledge Base",
+  "yuque_dataset_config": "Configure Yuque Knowledge Base",
+  "yuque_dataset_desc": "Build knowledge base using Yuque documents by configuring document permissions, documents will not be stored twice"
 }