feat: Migration image generation node

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

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()