feat: rename embedding_mode_id to embedding_model_id across multiple files

apps/chat/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py

@@ -37,11 +37,11 @@ def get_model_by_id(_id, user_id):
 
 def get_embedding_id(dataset_id_list):
     dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list)
-    if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1:
+    if len(set([dataset.embedding_model_id for dataset in dataset_list])) > 1:
         raise Exception(_("The vector model of the associated knowledge base is inconsistent and the segmentation cannot be recalled."))
     if len(dataset_list) == 0:
         raise Exception(_("The knowledge base setting is wrong, please reset the knowledge base"))
-    return dataset_list[0].embedding_mode_id
+    return dataset_list[0].embedding_model_id
 
 
 class BaseSearchDatasetStep(ISearchDatasetStep):

apps/chat/flow/step_node/search_dataset_node/impl/base_search_dataset_node.py

@@ -26,11 +26,11 @@ SearchMode = None
 
 def get_embedding_id(dataset_id_list):
     dataset_list = QuerySet(Knowledge).filter(id__in=dataset_id_list)
-    if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1:
+    if len(set([dataset.embedding_model_id for dataset in dataset_list])) > 1:
         raise Exception("关联知识库的向量模型不一致，无法召回分段。")
     if len(dataset_list) == 0:
         raise Exception("知识库设置错误,请重新设置知识库")
-    return dataset_list[0].embedding_mode_id
+    return dataset_list[0].embedding_model_id
 
 
 def get_none_result(question):

apps/knowledge/serializers/document.py

@@ -236,6 +236,7 @@ class DocumentSerializers(serializers.Serializer):
                 os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql', 'list_document.sql')))
 
         def page(self, current_page, page_size):
+            self.is_valid(raise_exception=True)
             query_set = self.get_query_set()
             return native_page_search(current_page, page_size, query_set, select_string=get_file_content(
                 os.path.join(PROJECT_DIR, "apps", "knowledge", 'sql', 'list_document.sql')))

apps/knowledge/serializers/knowledge.py

@@ -180,7 +180,7 @@ class KnowledgeSerializer(serializers.Serializer):
                 self.is_valid(raise_exception=True)
             knowledge_id = self.data.get('knowledge_id')
             knowledge = QuerySet(Knowledge).filter(id=knowledge_id).first()
-            embedding_model_id = knowledge.embedding_mode_id
+            embedding_model_id = knowledge.embedding_model_id
             knowledge_user_id = knowledge.user_id
             embedding_model = QuerySet(Model).filter(id=embedding_model_id).first()
             if embedding_model is None:

apps/models_provider/serializers/model_serializer.py

@@ -155,7 +155,7 @@ class ModelSerializer(serializers.Serializer):
             #     if application_count > 0:
             #         raise AppApiException(500, f"该模型关联了{application_count} 个应用，无法删除该模型。")
             # elif model.model_type == 'EMBEDDING':
-            #     dataset_count = DataSet.objects.filter(embedding_mode_id=model_id).count()
+            #     dataset_count = DataSet.objects.filter(embedding_model_id=model_id).count()
             #     if dataset_count > 0:
             #         raise AppApiException(500, f"该模型关联了{dataset_count} 个知识库，无法删除该模型。")
             # elif model.model_type == 'TTS':

ui/src/api/type/knowledge.ts

@@ -3,7 +3,7 @@ interface knowledgeData {
   desc: String
   documents?: Array<any>
   type?: String
-  embedding_mode_id?: String
+  embedding_model_id?: String
 }
 
 export type { knowledgeData }

ui/src/views/knowledge/component/BaseForm.vue

@@ -32,10 +32,10 @@
     </el-form-item>
     <el-form-item
       :label="$t('views.dataset.datasetForm.form.EmbeddingModel.label')"
-      prop="embedding_mode_id"
+      prop="embedding_model_id"
     >
       <ModelSelect
-        v-model="form.embedding_mode_id"
+        v-model="form.embedding_model_id"
         :placeholder="$t('views.dataset.datasetForm.form.EmbeddingModel.placeholder')"
         :options="modelOptions"
         :model-type="'EMBEDDING'"
@@ -60,7 +60,7 @@ const { model } = useStore()
 const form = ref<datasetData>({
   name: '',
   desc: '',
-  embedding_mode_id: ''
+  embedding_model_id: ''
 })
 
 const rules = reactive({
@@ -78,7 +78,7 @@ const rules = reactive({
       trigger: 'blur'
     }
   ],
-  embedding_mode_id: [
+  embedding_model_id: [
     {
       required: true,
       message: t('views.dataset.datasetForm.form.EmbeddingModel.requiredMessage'),
@@ -97,7 +97,7 @@ watch(
     if (value && JSON.stringify(value) !== '{}') {
       form.value.name = value.name
       form.value.desc = value.desc
-      form.value.embedding_mode_id = value.embedding_mode_id
+      form.value.embedding_model_id = value.embedding_model_id
     }
   },
   {
@@ -134,7 +134,7 @@ onUnmounted(() => {
   form.value = {
     name: '',
     desc: '',
-    embedding_mode_id: ''
+    embedding_model_id: ''
   }
   FormRef.value?.clearValidate()
 })