feat: 支持工作流ai对话节点添加节点上下文 (#1791)

apps/application/flow/step_node/ai_chat_step_node/i_chat_node.py

@@ -26,6 +26,8 @@ class ChatNodeSerializer(serializers.Serializer):
 
     model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer("模型参数相关设置"))
 
+    dialogue_type = serializers.CharField(required=True, error_messages=ErrMessage.char("上下文类型"))
+
 
 class IChatNode(INode):
     type = 'ai-chat-node'
@@ -39,5 +41,6 @@ def _run(self):
     def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id,
                 chat_record_id,
                 model_params_setting=None,
+                dialogue_type=None,
                 **kwargs) -> NodeResult:
         pass

apps/application/flow/step_node/ai_chat_step_node/impl/base_chat_node.py

@@ -12,7 +12,7 @@
 
 from django.db.models import QuerySet
 from langchain.schema import HumanMessage, SystemMessage
-from langchain_core.messages import BaseMessage
+from langchain_core.messages import BaseMessage, AIMessage
 
 from application.flow.i_step_node import NodeResult, INode
 from application.flow.step_node.ai_chat_step_node.i_chat_node import IChatNode
@@ -72,6 +72,22 @@ def get_default_model_params_setting(model_id):
     return model_params_setting
 
 
+def get_node_message(chat_record, runtime_node_id):
+    node_details = chat_record.get_node_details_runtime_node_id(runtime_node_id)
+    if node_details is None:
+        return []
+    return [HumanMessage(node_details.get('question')), AIMessage(node_details.get('answer'))]
+
+
+def get_workflow_message(chat_record):
+    return [chat_record.get_human_message(), chat_record.get_ai_message()]
+
+
+def get_message(chat_record, dialogue_type, runtime_node_id):
+    return get_node_message(chat_record, runtime_node_id) if dialogue_type == 'NODE' else get_workflow_message(
+        chat_record)
+
+
 class BaseChatNode(IChatNode):
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
@@ -80,12 +96,17 @@ def save_context(self, details, workflow_manage):
 
     def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
                 model_params_setting=None,
+                dialogue_type=None,
                 **kwargs) -> NodeResult:
+        if dialogue_type is None:
+            dialogue_type = 'WORKFLOW'
+
         if model_params_setting is None:
             model_params_setting = get_default_model_params_setting(model_id)
         chat_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'),
                                                          **model_params_setting)
-        history_message = self.get_history_message(history_chat_record, dialogue_number)
+        history_message = self.get_history_message(history_chat_record, dialogue_number, dialogue_type,
+                                                   self.runtime_node_id)
         self.context['history_message'] = history_message
         question = self.generate_prompt_question(prompt)
         self.context['question'] = question.content
@@ -103,10 +124,10 @@ def execute(self, model_id, system, prompt, dialogue_number, history_chat_record
                               _write_context=write_context)
 
     @staticmethod
-    def get_history_message(history_chat_record, dialogue_number):
+    def get_history_message(history_chat_record, dialogue_number, dialogue_type, runtime_node_id):
         start_index = len(history_chat_record) - dialogue_number
         history_message = reduce(lambda x, y: [*x, *y], [
-            [history_chat_record[index].get_human_message(), history_chat_record[index].get_ai_message()]
+            get_message(history_chat_record[index], dialogue_type, runtime_node_id)
             for index in
             range(start_index if start_index > 0 else 0, len(history_chat_record))], [])
         return history_message

apps/application/models/application.py

@@ -167,5 +167,8 @@ def get_human_message(self):
     def get_ai_message(self):
         return AIMessage(content=self.answer_text)
 
+    def get_node_details_runtime_node_id(self, runtime_node_id):
+        return self.details.get(runtime_node_id, None)
+
     class Meta:
         db_table = "application_chat_record"

ui/src/workflow/common/NodeContainer.vue

@@ -93,9 +93,8 @@
         v-if="showAnchor"
         @mousemove.stop
         @mousedown.stop
-        @keydown.stop
         @click.stop
-        @wheel.stop
+        @wheel="handleWheel"
         :show="showAnchor"
         :id="id"
         style="left: 100%; top: 50%; transform: translate(0, -50%)"
@@ -142,6 +141,12 @@ const showNode = computed({
     return true
   }
 })
+const handleWheel = (event: any) => {
+  const isCombinationKeyPressed = event.ctrlKey || event.metaKey
+  if (!isCombinationKeyPressed) {
+    event.stopPropagation()
+  }
+}
 const node_status = computed(() => {
   if (props.nodeModel.properties.status) {
     return props.nodeModel.properties.status

ui/src/workflow/nodes/ai-chat-node/index.vue

@@ -148,6 +148,15 @@
           />
         </el-form-item>
         <el-form-item label="历史聊天记录">
+          <template #label>
+            <div class="flex-between">
+              <div>历史聊天记录</div>
+              <el-select v-model="chat_data.dialogue_type" type="small" style="width: 100px">
+                <el-option label="节点" value="NODE" />
+                <el-option label="工作流" value="WORKFLOW" />
+              </el-select>
+            </div>
+          </template>
           <el-input-number
             v-model="chat_data.dialogue_number"
             :min="0"
@@ -246,7 +255,8 @@ const form = {
   dialogue_number: 1,
   is_result: false,
   temperature: null,
-  max_tokens: null
+  max_tokens: null,
+  dialogue_type: 'WORKFLOW'
 }
 
 const chat_data = computed({