From 7d9ca76b0ff0e05e20d461283d11c18e4610672f Mon Sep 17 00:00:00 2001 From: shaohuzhang1 Date: Fri, 17 Jul 2026 18:04:16 +0800 Subject: [PATCH] feat: Migration image generation node --- .../nodes/image_generate_node/__init__.py | 9 + .../image_generate_node.py | 185 ++++++++++++++++++ 2 files changed, 194 insertions(+) create mode 100644 apps/application/workflow/nodes/image_generate_node/__init__.py create mode 100644 apps/application/workflow/nodes/image_generate_node/image_generate_node.py diff --git a/apps/application/workflow/nodes/image_generate_node/__init__.py b/apps/application/workflow/nodes/image_generate_node/__init__.py new file mode 100644 index 00000000000..b915a23112f --- /dev/null +++ b/apps/application/workflow/nodes/image_generate_node/__init__.py @@ -0,0 +1,9 @@ +# coding=utf-8 +""" + @project: MaxKB + @Author：虎虎虎 + @file： __init__.py + @date：2026/7/6 16:00 + @desc: +""" +from .image_generate_node import ImageGenerateNode diff --git a/apps/application/workflow/nodes/image_generate_node/image_generate_node.py b/apps/application/workflow/nodes/image_generate_node/image_generate_node.py new file mode 100644 index 00000000000..5626194c895 --- /dev/null +++ b/apps/application/workflow/nodes/image_generate_node/image_generate_node.py @@ -0,0 +1,185 @@ +# coding=utf-8 +""" + @project: MaxKB + @Author：虎虎虎 + @file： image_generate_node.py + @date：2026/7/6 16:00 + @desc: +""" +import base64 +from functools import reduce + +import requests +import uuid_utils.compat as uuid +from django.utils.translation import gettext_lazy as _ +from langchain_core.messages import HumanMessage, AIMessage +from rest_framework import serializers + +from application.workflow.common import WorkflowType +from application.workflow.i_node import INode +from application.workflow.message.struct.content import NodeInfo, Position +from application.workflow.message.struct.text_content import TextContent +from application.workflow.status import Status +from common.utils.common import bytes_to_uploaded_file +from knowledge.models import FileSourceType +from models_provider.tools import get_model_instance_by_model_workspace_id +from oss.serializers.file import FileSerializer + + +class ImageGenerateNodeSerializer(serializers.Serializer): + model_id = serializers.CharField(required=False, allow_blank=True, allow_null=True, label=_("Model id")) + model_id_type = serializers.CharField(required=False, default='custom', label=_("Model id type")) + model_id_reference = serializers.ListField(required=False, child=serializers.CharField(), allow_empty=True, + label=_("Reference Field")) + prompt = serializers.CharField(required=True, label=_("Prompt word (positive)")) + negative_prompt = serializers.CharField(required=False, label=_("Prompt word (negative)"), + allow_null=True, allow_blank=True) + dialogue_number = serializers.IntegerField(required=False, default=0, + label=_("Number of multi-round conversations")) + dialogue_type = serializers.CharField(required=False, default='NODE', + label=_("Conversation storage type")) + is_result = serializers.BooleanField(required=False, label=_('Whether to return content')) + model_params_setting = serializers.JSONField(required=False, default=dict, + label=_("Model parameter settings")) + + +class ImageGenerateNode(INode): + serializer_class = ImageGenerateNodeSerializer + supported_workflow_type_list = [WorkflowType.APPLICATION, WorkflowType.KNOWLEDGE, WorkflowType.TOOL] + type = 'image-generate-node' + + def execute(self): + node_params = self.get_parameters() + workflow_params = self.get_workflow_parameters() + + model_id = node_params.get('model_id') + model_id_type = node_params.get('model_id_type', 'custom') + model_id_reference = node_params.get('model_id_reference') + prompt = node_params.get('prompt', '') + negative_prompt = node_params.get('negative_prompt', '') + dialogue_number = node_params.get('dialogue_number', 0) + dialogue_type = node_params.get('dialogue_type', 'NODE') + is_result = node_params.get('is_result', False) + model_params_setting = node_params.get('model_params_setting') + + workflow_type = self.get_workflow_type() + if workflow_type in (WorkflowType.KNOWLEDGE, WorkflowType.TOOL): + history_chat_record = [] + else: + history_chat_record = workflow_params.get('history_chat_record', []) + + if model_id_type == 'reference' and model_id_reference: + reference_data = self.workflow_manage.get_reference_field( + model_id_reference[0], model_id_reference[1:], + ) + if reference_data and isinstance(reference_data, dict): + model_id = reference_data.get('model_id', model_id) + model_params_setting = reference_data.get('model_params_setting') + + if not model_id: + raise Exception(_('Model is not allowed to be empty')) + + workspace_id = workflow_params.get('workspace_id') + tti_model = get_model_instance_by_model_workspace_id(model_id, workspace_id, + **(model_params_setting or {})) + + history_message = self._get_history_message(history_chat_record, dialogue_number) + self.write_context('history_message', [ + {'content': m.content, 'role': m.type} for m in (history_message or []) + ]) + + question = self.workflow_manage.generate_prompt(prompt) + self.write_context('question', question) + self.write_context('negative_prompt', self.workflow_manage.generate_prompt(negative_prompt or '')) + self.write_context('dialogue_type', dialogue_type) + + image_urls = tti_model.generate_image(question, negative_prompt) + + file_urls = [] + for image_url in image_urls: + file_name = 'generated_image.png' + if isinstance(image_url, str): + if image_url.startswith('http'): + image_url = requests.get(image_url).content + elif image_url.startswith('data:image'): + header, encoded = image_url.split(',', 1) + image_url = base64.b64decode(encoded) + else: + image_url = base64.b64decode(image_url) + file = bytes_to_uploaded_file(image_url, file_name) + file_url = self._upload_file(file, workflow_params, workflow_type) + file_urls.append(file_url) + + image_list = [{'file_id': path.split('/')[-1], 'url': path} for path in file_urls] + self.write_context('image_list', image_list) + + answer = ' '.join([f'![Image]({path})' for path in file_urls]) + self.write_context('answer', answer) + + if is_result: + node_info = NodeInfo(self.get_node_id(), self.get_node_name(), Status.SUCCESS) + self.write(TextContent(str(uuid.uuid7()), answer, Status.SUCCESS, node_info, + position=Position(self.get_node_id()))) + + def _get_history_message(self, history_chat_record, dialogue_number): + start_index = len(history_chat_record) - dialogue_number + return reduce(lambda x, y: [*x, *y], [ + [self._generate_history_human_message(history_chat_record[index]), + self._generate_history_ai_message(history_chat_record[index])] + for index in range(max(start_index, 0), len(history_chat_record)) + ], []) + + def _generate_history_human_message(self, chat_record): + for data in chat_record.details.values(): + if self.node.id == data.get('node_id') and 'image_list' in data: + image_list = data['image_list'] + if len(image_list) == 0 or data.get('dialogue_type') == 'WORKFLOW': + return HumanMessage(content=chat_record.problem_text) + return HumanMessage(content=data.get('question', chat_record.problem_text)) + return HumanMessage(content=chat_record.problem_text) + + def _generate_history_ai_message(self, chat_record): + for val in chat_record.details.values(): + if self.node.id == val.get('node_id') and 'image_list' in val: + if val.get('dialogue_type') == 'WORKFLOW': + return chat_record.get_ai_message() + image_list = val['image_list'] + return AIMessage(content=[ + {'type': 'image_url', 'image_url': {'url': f'{file_url}'}} for file_url in image_list + ]) + return chat_record.get_ai_message() + + def _upload_file(self, file, workflow_params, workflow_type): + if workflow_type == WorkflowType.KNOWLEDGE: + return self._upload_knowledge_file(file, workflow_params) + if workflow_type == WorkflowType.TOOL: + return self._upload_tool_file(file, workflow_params) + return self._upload_application_file(file, workflow_params) + + def _upload_knowledge_file(self, file, workflow_params): + knowledge_id = workflow_params.get('knowledge_id') + return FileSerializer(data={ + 'file': file, + 'meta': {'debug': False, 'knowledge_id': knowledge_id}, + 'source_id': knowledge_id, + 'source_type': FileSourceType.KNOWLEDGE.value + }).upload() + + def _upload_tool_file(self, file, workflow_params): + tool_id = workflow_params.get('tool_id') + return FileSerializer(data={ + 'file': file, + 'meta': {'debug': False, 'tool_id': tool_id}, + 'source_id': tool_id, + 'source_type': FileSourceType.TOOL.value + }).upload() + + def _upload_application_file(self, file, workflow_params): + application_id = workflow_params.get('application_id') + chat_id = workflow_params.get('chat_id') + return FileSerializer(data={ + 'file': file, + 'meta': {'debug': False, 'chat_id': chat_id, 'application_id': application_id}, + 'source_id': application_id, + 'source_type': FileSourceType.APPLICATION.value + }).upload()