fix: 修复tokens描述错误的缺陷

--bug=1046202 --user=王孝刚【github#1144】【应用】参数设置，输出最大tokens描述错误 https://www.tapd.cn/57709429/s/1579168
2025-12-26 01:33:05 +00:00 · 2024-09-14 18:36:37 +08:00 · 2024-09-14 18:36:37 +08:00 · a873719a49
parent 080ccd11c4
commit a873719a49
19 changed files with 97 additions and 55 deletions
--- a/apps/dataset/urls.py
+++ b/apps/dataset/urls.py
@ -23,6 +23,7 @@ urlpatterns = [
    path('dataset/<str:dataset_id>/document/_bach', views.Document.Batch.as_view()),
    path('dataset/<str:dataset_id>/document/batch_hit_handling', views.Document.BatchEditHitHandling.as_view()),
    path('dataset/<str:dataset_id>/document/<int:current_page>/<int:page_size>', views.Document.Page.as_view()),
+    path('dataset/<str:dataset_id>/document/batch_refresh', views.Document.BatchRefresh.as_view()),
    path('dataset/<str:dataset_id>/document/<str:document_id>', views.Document.Operate.as_view(),
         name="document_operate"),
    path('dataset/document/split', views.Document.Split.as_view(),
@ -34,7 +35,6 @@ urlpatterns = [
         name="document_export"),
    path('dataset/<str:dataset_id>/document/<str:document_id>/sync', views.Document.SyncWeb.as_view()),
    path('dataset/<str:dataset_id>/document/<str:document_id>/refresh', views.Document.Refresh.as_view()),
-    path('dataset/<str:dataset_id>/document/batch_refresh', views.Document.BatchRefresh.as_view()),
    path('dataset/<str:dataset_id>/document/<str:document_id>/paragraph', views.Paragraph.as_view()),
    path(
        'dataset/<str:dataset_id>/document/<str:document_id>/paragraph/migrate/dataset/<str:target_dataset_id>/document/<str:target_document_id>',
--- a/apps/dataset/views/document.py
+++ b/apps/dataset/views/document.py
@ -239,7 +239,7 @@ class Document(APIView):
    class BatchRefresh(APIView):
        authentication_classes = [TokenAuth]

-        @action(methods=['POST'], detail=False)
+        @action(methods=['PUT'], detail=False)
        @swagger_auto_schema(operation_summary="批量刷新文档向量库",
                             operation_id="批量刷新文档向量库",
                             request_body=
--- a/apps/setting/models_provider/impl/aws_bedrock_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/aws_bedrock_model_provider/credential/llm.py
@ -19,7 +19,7 @@ class BedrockLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=1024,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/azure_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/azure_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class AzureLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/deepseek_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/deepseek_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class DeepSeekLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/gemini_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/gemini_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class GeminiLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/kimi_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/kimi_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class KimiLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=1024,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/ollama_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/ollama_model_provider/credential/llm.py
@ -23,7 +23,7 @@ class OllamaLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=1024,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/openai_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/openai_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class OpenAILLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/qwen_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/qwen_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class QwenModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=2048,
--- a/apps/setting/models_provider/impl/vllm_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/vllm_model_provider/credential/llm.py
@ -19,7 +19,7 @@ class VLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/volcanic_engine_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/volcanic_engine_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class VolcanicEngineLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=1024,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/wenxin_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/wenxin_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class WenxinLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=1024,
        _min=2,
        _max=2048,
--- a/apps/setting/models_provider/impl/xf_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/xf_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class XunFeiLLMModelGeneralParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=4096,
        _min=1,
        _max=4096,
@ -42,7 +42,7 @@ class XunFeiLLMModelProParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=4096,
        _min=1,
        _max=8192,
--- a/apps/setting/models_provider/impl/xinference_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/xinference_model_provider/credential/llm.py
@ -19,7 +19,7 @@ class XinferenceLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=800,
        _min=1,
        _max=4096,
--- a/apps/setting/models_provider/impl/zhipu_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/zhipu_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class ZhiPuLLMModelParams(BaseForm):
                                    precision=2)

    max_tokens = forms.SliderField(
-        TooltipLabel('输出最大Tokens', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
        required=True, default_value=1024,
        _min=1,
        _max=4096,
--- a/ui/src/api/document.ts
+++ b/ui/src/api/document.ts
@ -3,6 +3,7 @@ import { get, post, del, put, exportExcel } from '@/request/index'
 import type { Ref } from 'vue'
 import type { KeyValue } from '@/api/type/common'
 import type { pageRequest } from '@/api/type/common'
+
 const prefix = '/dataset'

 /**
@ -26,14 +27,14 @@ const listSplitPattern: (

 /**
 * 文档分页列表
- * @param 参数  dataset_id,   
+ * @param 参数  dataset_id,
 * page {
-              "current_page": "string",
-              "page_size": "string",
-            }
-* param {
-          "name": "string",
-        }
+ "current_page": "string",
+ "page_size": "string",
+ }
+ * param {
+ "name": "string",
+ }
 */

 const getDocument: (
@ -58,22 +59,22 @@ const getAllDocument: (dataset_id: string, loading?: Ref<boolean>) => Promise<Re

 /**
 * 创建批量文档
- * @param 参数 
+ * @param 参数
 * {
-  "name": "string",
-  "paragraphs": [
-    {
-      "content": "string",
-      "title": "string",
-      "problem_list": [
-          {
-            "id": "string",
-              "content": "string"
-          }
-      ]
-    }
-  ]
-}
+ "name": "string",
+ "paragraphs": [
+ {
+ "content": "string",
+ "title": "string",
+ "problem_list": [
+ {
+ "id": "string",
+ "content": "string"
+ }
+ ]
+ }
+ ]
+ }
 */
 const postDocument: (
  dataset_id: string,
@ -85,13 +86,13 @@ const postDocument: (

 /**
 * 修改文档
- * @param 参数 
- * dataset_id, document_id, 
+ * @param 参数
+ * dataset_id, document_id,
 * {
-      "name": "string",
-      "is_active": true,
-      "meta": {}
-    }
+ "name": "string",
+ "is_active": true,
+ "meta": {}
+ }
 */
 const putDocument: (
  dataset_id: string,
@ -124,6 +125,19 @@ const delMulDocument: (
 ) => Promise<Result<boolean>> = (dataset_id, data, loading) => {
  return del(`${prefix}/${dataset_id}/document/_bach`, undefined, { id_list: data }, loading)
 }
+
+const batchRefresh: (
+  dataset_id: string,
+  data: any,
+  loading?: Ref<boolean>
+) => Promise<Result<boolean>> = (dataset_id, data, loading) => {
+  return put(
+    `${prefix}/${dataset_id}/document/batch_refresh`,
+    { id_list: data },
+    undefined,
+    loading
+  )
+}
 /**
 * 文档详情
 * @param 参数 dataset_id
@ -180,14 +194,14 @@ const delMulSyncDocument: (

 /**
 * 创建Web站点文档
- * @param 参数 
+ * @param 参数
 * {
-    "source_url_list": [
-    "string"
-  ],
-  "selector": "string"
+ "source_url_list": [
+ "string"
+ ],
+ "selector": "string"
+ }
 }
-}
 */
 const postWebDocument: (
  dataset_id: string,
@ -199,9 +213,9 @@ const postWebDocument: (

 /**
 * 导入QA文档
- * @param 参数 
+ * @param 参数
 * file
-}
+ }
 */
 const postQADocument: (
  dataset_id: string,
@ -323,5 +337,6 @@ export default {
  exportTableTemplate,
  postQADocument,
  postTableDocument,
-  exportDocument
+  exportDocument,
+  batchRefresh
 }
--- a/ui/src/views/application/component/AccessSettingDrawer.vue
+++ b/ui/src/views/application/component/AccessSettingDrawer.vue
@ -28,6 +28,10 @@
          </el-input>
        </el-form-item>
      </template>
+      <div v-if="configType === 'wechat'" class="flex align-center" style="margin-bottom: 8px">
+        <span class="el-form-item__label">是否是订阅号</span>
+        <el-switch v-if="configType === 'wechat'" v-model="form[configType].is_personal" />
+      </div>

      <h4 class="title-decoration-1 mb-16">回调地址</h4>
      <el-form-item label="URL" prop="callback_url">
@ -102,7 +106,14 @@ const {
 } = route as any

 const form = reactive<any>({
-  wechat: { app_id: '', app_secret: '', token: '', encoding_aes_key: '', callback_url: '' },
+  wechat: {
+    app_id: '',
+    app_secret: '',
+    token: '',
+    encoding_aes_key: '',
+    is_personal: false,
+    callback_url: ''
+  },
  dingtalk: { client_id: '', client_secret: '', callback_url: '' },
  wecom: {
    app_id: '',
--- a/ui/src/views/document/index.vue
+++ b/ui/src/views/document/index.vue
@ -23,6 +23,9 @@
            <el-button @click="openDatasetDialog()" :disabled="multipleSelection.length === 0">
              迁移
            </el-button>
+            <el-button @click="batchRefresh" :disabled="multipleSelection.length === 0">
+              重新向量化
+            </el-button>
            <el-button @click="openBatchEditDocument" :disabled="multipleSelection.length === 0">
              设置
            </el-button>
@ -538,6 +541,19 @@ function deleteMulDocument() {
  })
 }

+function batchRefresh() {
+  const arr: string[] = []
+  multipleSelection.value.map((v) => {
+    if (v) {
+      arr.push(v.id)
+    }
+  })
+  documentApi.batchRefresh(id, arr, loading).then(() => {
+    MsgSuccess('批量重新向量化成功')
+    multipleTableRef.value?.clearSelection()
+  })
+}
+
 function deleteDocument(row: any) {
  MsgConfirm(
    `是否删除文档：${row.name} ?`,