feat: loop node Unfinished

apps/application/flow/i_step_node.py

@@ -168,7 +168,7 @@ def get_answer_list(self) -> List[Answer] | None:
                    self.runtime_node_id, self.context.get('reasoning_content', '') if reasoning_content_enable else '')]
 
     def __init__(self, node, workflow_params, workflow_manage, up_node_id_list=None,
-                 get_node_params=lambda node: node.properties.get('node_data')):
+                 get_node_params=lambda node: node.properties.get('node_data'), salt=None):
         # 当前步骤上下文,用于存储当前步骤信息
         self.status = 200
         self.err_message = ''
@@ -188,7 +188,8 @@ def __init__(self, node, workflow_params, workflow_manage, up_node_id_list=None,
         self.runtime_node_id = sha1(uuid.NAMESPACE_DNS.bytes + bytes(str(uuid.uuid5(uuid.NAMESPACE_DNS,
                                                                                     "".join([*sorted(up_node_id_list),
                                                                                              node.id]))),
-                                                                     "utf-8")).hexdigest()
+                                                                     "utf-8")).hexdigest() + (
+                                   "__" + str(salt) if salt is not None else '')
 
     def valid_args(self, node_params, flow_params):
         flow_params_serializer_class = self.get_flow_params_serializer_class()

apps/application/flow/loop_workflow_manage.py

@@ -0,0 +1,167 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： workflow_manage.py
+    @date：2024/1/9 17:40
+    @desc:
+"""
+from concurrent.futures import ThreadPoolExecutor
+from typing import List
+
+from django.db import close_old_connections
+from django.utils.translation import get_language
+from langchain_core.prompts import PromptTemplate
+
+from application.flow.common import Workflow
+from application.flow.i_step_node import WorkFlowPostHandler, INode
+from application.flow.step_node import get_node
+from application.flow.workflow_manage import WorkflowManage
+from common.handle.base_to_response import BaseToResponse
+from common.handle.impl.response.system_to_response import SystemToResponse
+
+executor = ThreadPoolExecutor(max_workers=200)
+
+
+class NodeResultFuture:
+    def __init__(self, r, e, status=200):
+        self.r = r
+        self.e = e
+        self.status = status
+
+    def result(self):
+        if self.status == 200:
+            return self.r
+        else:
+            raise self.e
+
+
+def await_result(result, timeout=1):
+    try:
+        result.result(timeout)
+        return False
+    except Exception as e:
+        return True
+
+
+class NodeChunkManage:
+
+    def __init__(self, work_flow):
+        self.node_chunk_list = []
+        self.current_node_chunk = None
+        self.work_flow = work_flow
+
+    def add_node_chunk(self, node_chunk):
+        self.node_chunk_list.append(node_chunk)
+
+    def contains(self, node_chunk):
+        return self.node_chunk_list.__contains__(node_chunk)
+
+    def pop(self):
+        if self.current_node_chunk is None:
+            try:
+                current_node_chunk = self.node_chunk_list.pop(0)
+                self.current_node_chunk = current_node_chunk
+            except IndexError as e:
+                pass
+        if self.current_node_chunk is not None:
+            try:
+                chunk = self.current_node_chunk.chunk_list.pop(0)
+                return chunk
+            except IndexError as e:
+                if self.current_node_chunk.is_end():
+                    self.current_node_chunk = None
+                    if self.work_flow.answer_is_not_empty():
+                        chunk = self.work_flow.base_to_response.to_stream_chunk_response(
+                            self.work_flow.params['chat_id'],
+                            self.work_flow.params['chat_record_id'],
+                            '\n\n', False, 0, 0)
+                        self.work_flow.append_answer('\n\n')
+                        return chunk
+                    return self.pop()
+        return None
+
+
+class LoopWorkflowManage(WorkflowManage):
+
+    def __init__(self, flow: Workflow,
+                 params,
+                 work_flow_post_handler: WorkFlowPostHandler,
+                 parentWorkflowManage,
+                 loop_params,
+                 base_to_response: BaseToResponse = SystemToResponse(), start_node_id=None,
+                 start_node_data=None, chat_record=None, child_node=None):
+        self.parentWorkflowManage = parentWorkflowManage
+        self.loop_params = loop_params
+        super().__init__(flow, params, work_flow_post_handler, base_to_response, None, None, None,
+                         None,
+                         None, start_node_id, start_node_data, chat_record, child_node)
+
+    def get_node_cls_by_id(self, node_id, up_node_id_list=None,
+                           get_node_params=lambda node: node.properties.get('node_data')):
+        for node in self.flow.nodes:
+            if node.id == node_id:
+                node_instance = get_node(node.type)(node,
+                                                    self.params, self, up_node_id_list,
+                                                    get_node_params,
+                                                    salt=self.get_index())
+                return node_instance
+        return None
+
+    def stream(self):
+        close_old_connections()
+        language = get_language()
+        self.run_chain_async(self.start_node, None, language)
+        return self.await_result()
+
+    def get_index(self):
+        return self.loop_params.get('index')
+
+    def get_start_node(self):
+        start_node_list = [node for node in self.flow.nodes if
+                           ['loop-start-node'].__contains__(node.type)]
+        return start_node_list[0]
+
+    def get_reference_field(self, node_id: str, fields: List[str]):
+        """
+        @param node_id: 节点id
+        @param fields:  字段
+        @return:
+        """
+        if node_id == 'global':
+            return self.parentWorkflowManage.get_reference_field(node_id, fields)
+        elif node_id == 'chat':
+            return self.parentWorkflowManage.get_reference_field(node_id, fields)
+        else:
+            node = self.get_node_by_id(node_id)
+            if node:
+                return node.get_reference_field(fields)
+            return self.parentWorkflowManage.get_reference_field(node_id, fields)
+
+    def get_workflow_content(self):
+        context = {
+            'global': self.context,
+            'chat': self.chat_context
+        }
+
+        for node in self.node_context:
+            context[node.id] = node.context
+        return context
+
+    def reset_prompt(self, prompt: str):
+        prompt = super().reset_prompt(prompt)
+        prompt = self.parentWorkflowManage.reset_prompt(prompt)
+        return prompt
+
+    def generate_prompt(self, prompt: str):
+        """
+        格式化生成提示词
+        @param prompt: 提示词信息
+        @return: 格式化后的提示词
+        """
+
+        context = {**self.get_workflow_content(), **self.parentWorkflowManage.get_workflow_content()}
+        prompt = self.reset_prompt(prompt)
+        prompt_template = PromptTemplate.from_template(prompt, template_format='jinja2')
+        value = prompt_template.format(context=context)
+        return value

apps/application/flow/step_node/__init__.py

@@ -14,6 +14,8 @@
 from .form_node import *
 from .image_generate_step_node import *
 from .image_understand_step_node import *
+from .loop_node import *
+from .loop_start_node import *
 from .mcp_node import BaseMcpNode
 from .question_node import *
 from .reranker_node import *
@@ -30,7 +32,7 @@
              BaseToolNodeNode, BaseToolLibNodeNode, BaseRerankerNode, BaseApplicationNode,
              BaseDocumentExtractNode,
              BaseImageUnderstandNode, BaseFormNode, BaseSpeechToTextNode, BaseTextToSpeechNode,
-             BaseImageGenerateNode, BaseVariableAssignNode, BaseMcpNode]
+             BaseImageGenerateNode, BaseVariableAssignNode, BaseMcpNode, BaseLoopNode, BaseLoopStartStepNode]
 
 
 def get_node(node_type):

apps/application/flow/step_node/loop_node/__init__.py

@@ -0,0 +1,9 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： __init__.py
+    @date：2025/3/11 18:24
+    @desc:
+"""
+from .impl import *

apps/application/flow/step_node/loop_node/i_loop_node.py

@@ -0,0 +1,56 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： i_loop_node.py
+    @date：2025/3/11 18:19
+    @desc:
+"""
+from typing import Type
+
+from django.utils.translation import gettext_lazy as _
+from rest_framework import serializers
+
+from application.flow.i_step_node import INode, NodeResult
+from common.exception.app_exception import AppApiException
+
+
+class ILoopNodeSerializer(serializers.Serializer):
+    loop_type = serializers.CharField(required=True, label=_("loop_type"))
+    array = serializers.ListField(required=False, allow_null=True,
+                                  label=_("array"))
+    number = serializers.IntegerField(required=False, allow_null=True,
+                                      label=_("number"))
+    loop_body = serializers.DictField(required=True, label="循环体")
+
+    def is_valid(self, *, raise_exception=False):
+        super().is_valid(raise_exception=True)
+        loop_type = self.data.get('loop_type')
+        if loop_type == 'ARRAY':
+            array = self.data.get('array')
+            if array is None or len(array) == 0:
+                message = _('{field}, this field is required.', field='array')
+                raise AppApiException(500, message)
+        elif loop_type == 'NUMBER':
+            number = self.data.get('number')
+            if number is None:
+                message = _('{field}, this field is required.', field='number')
+                raise AppApiException(500, message)
+
+
+class ILoopNode(INode):
+    type = 'loop-node'
+
+    def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
+        return ILoopNodeSerializer
+
+    def _run(self):
+        array = self.node_params_serializer.data.get('array')
+        if self.node_params_serializer.data.get('loop_type') == 'ARRAY':
+            array = self.workflow_manage.get_reference_field(
+                array[0],
+                array[1:])
+        return self.execute(**{**self.node_params_serializer.data, "array": array}, **self.flow_params_serializer.data)
+
+    def execute(self, loop_type, array, number, loop_body, stream, **kwargs) -> NodeResult:
+        pass

apps/application/flow/step_node/loop_node/impl/__init__.py

@@ -0,0 +1,9 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： __init__.py.py
+    @date：2025/3/11 18:24
+    @desc:
+"""
+from .base_loop_node import BaseLoopNode