fix: After selecting the answer content in the AI conversation and clicking copy, it cannot be copied (#2062)

apps/application/chat_pipeline/step/chat_step/impl/base_chat_step.py

@@ -14,6 +14,7 @@ from typing import List
 
 from django.db.models import QuerySet
 from django.http import StreamingHttpResponse
+from django.utils.translation import gettext as __
 from langchain.chat_models.base import BaseChatModel
 from langchain.schema import BaseMessage
 from langchain.schema.messages import HumanMessage, AIMessage
@@ -26,7 +27,6 @@ from application.chat_pipeline.step.chat_step.i_chat_step import IChatStep, Post
 from application.models.api_key_model import ApplicationPublicAccessClient
 from common.constants.authentication_type import AuthenticationType
 from setting.models_provider.tools import get_model_instance_by_model_user_id
-from django.utils.translation import gettext_lazy as _
 
 
 def add_access_num(client_id=None, client_type=None, application_id=None):
@@ -174,7 +174,7 @@ class BaseChatStep(IChatStep):
                 [AIMessageChunk(content=no_references_setting.get('value').replace('{question}', problem_text))]), False
         if chat_model is None:
             return iter([AIMessageChunk(
-                _('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.'))]), False
+                __('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.'))]), False
         else:
             return chat_model.stream(message_list), True
 
@@ -218,7 +218,8 @@ class BaseChatStep(IChatStep):
                 'status') == 'designated_answer':
             return AIMessage(no_references_setting.get('value').replace('{question}', problem_text)), False
         if chat_model is None:
-            return AIMessage(_('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
+            return AIMessage(
+                __('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
         else:
             return chat_model.invoke(message_list), True
 

apps/application/chat_pipeline/step/reset_problem_step/impl/base_reset_problem_step.py

@@ -8,15 +8,15 @@
 """
 from typing import List
 
+from django.utils.translation import gettext as __
 from langchain.schema import HumanMessage
 
 from application.chat_pipeline.step.reset_problem_step.i_reset_problem_step import IResetProblemStep
 from application.models import ChatRecord
 from common.util.split_model import flat_map
 from setting.models_provider.tools import get_model_instance_by_model_user_id
-from django.utils.translation import gettext_lazy as _
 
-prompt = _(
+prompt = __(
     "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")
 
 

ui/src/components/ai-chat/component/control/index.vue

@@ -49,9 +49,26 @@ const menus = ref([
       const selectionText = getSelection()
       if (selectionText) {
         clearSelectedText()
-        navigator.clipboard.writeText(selectionText).then(() => {
+        if (
-          MsgSuccess(t('common.copySuccess'))
+          typeof navigator.clipboard === 'undefined' ||
-        })
+          typeof navigator.clipboard.writeText === 'undefined'
+        ) {
+          const input = document.createElement('input')
+          input.setAttribute('value', selectionText)
+          document.body.appendChild(input)
+          input.select()
+          try {
+            if (document.execCommand('copy')) {
+              MsgSuccess(t('common.copySuccess'))
+            }
+          } finally {
+            document.body.removeChild(input)
+          }
+        } else {
+          navigator.clipboard.writeText(selectionText).then(() => {
+            MsgSuccess(t('common.copySuccess'))
+          })
+        }
       }
     }
   },