Merge pull request #497 from SuanmoSuanyangTechnology/fix/bug-patch

feat(workflow,chat): support multimodal context and add message_id to chat API response; fix Dify compatibility issues
This commit is contained in:
Ke Sun
2026-03-06 17:28:36 +08:00
committed by GitHub
12 changed files with 216 additions and 89 deletions

View File

@@ -144,7 +144,7 @@ class AppChatService:
)
# 保存消息
self.conversation_service.save_conversation_messages(
message_id = self.conversation_service.save_conversation_messages(
conversation_id=conversation_id,
user_message=message,
assistant_message=result["content"],
@@ -163,6 +163,7 @@ class AppChatService:
return {
"conversation_id": conversation_id,
"message_id": str(message_id),
"message": result["content"],
"usage": result.get("usage", {
"prompt_tokens": 0,
@@ -191,7 +192,11 @@ class AppChatService:
try:
start_time = time.time()
config_id = None
yield f"event: start\ndata: {json.dumps({'conversation_id': str(conversation_id)}, ensure_ascii=False)}\n\n"
message_id = uuid.uuid4()
yield f"event: start\ndata: {json.dumps({
'conversation_id': str(conversation_id),
"message_id": str(message_id)
}, ensure_ascii=False)}\n\n"
variables = self.agent_service.prepare_variables(variables, config.variables)
# 获取模型配置ID
@@ -296,6 +301,7 @@ class AppChatService:
)
self.conversation_service.add_message(
message_id=message_id,
conversation_id=conversation_id,
role="assistant",
content=full_content,
@@ -373,7 +379,7 @@ class AppChatService:
content=message
)
self.conversation_service.add_message(
ai_message = self.conversation_service.add_message(
conversation_id=conversation_id,
role="assistant",
content=result.get("message", ""),
@@ -391,6 +397,7 @@ class AppChatService:
return {
"conversation_id": conversation_id,
"message": result.get("message", ""),
"message_id": str(ai_message.id),
"usage": {
"prompt_tokens": 0,
"completion_tokens": 0,
@@ -419,9 +426,9 @@ class AppChatService:
variables = {}
try:
message_id = uuid.uuid4()
# 发送开始事件
yield f"event: start\ndata: {json.dumps({'conversation_id': str(conversation_id)}, ensure_ascii=False)}\n\n"
yield f"event: start\ndata: {json.dumps({'conversation_id': str(conversation_id), "message_id": str(message_id)}, ensure_ascii=False)}\n\n"
full_content = ""
total_tokens = 0
@@ -429,6 +436,7 @@ class AppChatService:
# 2. 创建编排器
orchestrator = MultiAgentOrchestrator(self.db, config)
# 3. 流式执行任务
async for event in orchestrator.execute_stream(
message=message,
@@ -472,6 +480,7 @@ class AppChatService:
)
self.conversation_service.add_message(
message_id=message_id,
conversation_id=conversation_id,
role="assistant",
content=full_content,

View File

@@ -178,7 +178,8 @@ class ConversationService:
conversation_id: uuid.UUID,
role: str,
content: str,
meta_data: Optional[dict] = None
meta_data: Optional[dict] = None,
message_id: Optional[uuid.UUID] = None,
) -> Message:
"""
Add a message to a conversation using UnitOfWork.
@@ -188,6 +189,7 @@ class ConversationService:
role (str): Role of the message sender ('user' or 'assistant').
content (str): Message content.
meta_data (Optional[dict]): Optional metadata.
message_id (Optional[uuid.UUID]): Optional custom message UUID.
Returns:
Message: Newly created Message instance.
@@ -198,6 +200,7 @@ class ConversationService:
)
message = Message(
id=message_id if message_id else uuid.uuid4(),
conversation_id=conversation_id,
role=role,
content=content,
@@ -317,7 +320,7 @@ class ConversationService:
content=user_message
)
self.add_message(
ai_message = self.add_message(
conversation_id=conversation_id,
role="assistant",
content=assistant_message,
@@ -332,6 +335,7 @@ class ConversationService:
"assistant_message_length": len(assistant_message)
}
)
return ai_message.id
def delete_conversation(
self,

View File

@@ -56,7 +56,7 @@ class WorkflowImportService:
success=False,
temp_id=None,
workflow_id=None,
errors=[InvalidConfiguration()]
errors=[InvalidConfiguration()] + adapter.errors
)
workflow_config = adapter.parse_workflow()

View File

@@ -25,7 +25,7 @@ from app.repositories.workflow_repository import (
WorkflowExecutionRepository,
WorkflowNodeExecutionRepository
)
from app.schemas import DraftRunRequest, FileInput
from app.schemas import DraftRunRequest, FileInput, FileType
from app.services.conversation_service import ConversationService
from app.services.multi_agent_service import convert_uuids_to_str
from app.services.multimodal_service import MultimodalService
@@ -496,6 +496,7 @@ class WorkflowService:
"event": "start",
"data": {
"conversation_id": payload.get("conversation_id"),
"message_id": payload.get("message_id")
}
}
case "workflow_end":
@@ -600,6 +601,7 @@ class WorkflowService:
try:
files = await self._handle_file_input(payload.files)
input_data["files"] = files
message_id = uuid.uuid4()
# 更新状态为运行中
self.update_execution_status(execution.execution_id, "running")
@@ -624,24 +626,45 @@ class WorkflowService:
workspace_id=str(workspace_id),
user_id=payload.user_id
)
# 更新执行结果
if result.get("status") == "completed":
token_usage = result.get("token_usage", {}) or {}
final_messages = result.get("messages", [])[init_message_length:]
human_message = ""
assistant_message = ""
for message in final_messages:
if message["role"] == "user":
if isinstance(message["content"], str):
human_message += message["content"]
elif isinstance(message["content"], list):
for file in message["content"]:
if file.get("type") == FileType.IMAGE:
human_message += f"![image]({file.get('url', '')})"
else:
human_message += f"[{file.get('type')}]({file.get('url', '')})"
if message["role"] == "assistant":
assistant_message = message["content"]
self.conversation_service.add_message(
conversation_id=conversation_id_uuid,
role="user",
content=human_message,
meta_data=None
)
self.conversation_service.add_message(
message_id=message_id,
conversation_id=conversation_id_uuid,
role="assistant",
content=assistant_message,
meta_data={"usage": token_usage}
)
self.update_execution_status(
execution.execution_id,
"completed",
output_data=result,
token_usage=token_usage.get("total_tokens", None)
)
final_messages = result.get("messages", [])[init_message_length:]
for message in final_messages:
self.conversation_service.add_message(
conversation_id=conversation_id_uuid,
role=message["role"],
content=message["content"],
meta_data=None if message["role"] == "user" else {"usage": token_usage}
)
logger.info(f"Workflow Run Success, "
f"execution_id: {execution.execution_id}, message count: {len(final_messages)}")
else:
@@ -650,6 +673,8 @@ class WorkflowService:
"failed",
error_message=result.get("error")
)
logger.error(f"Workflow Run Failed, execution_id: {execution.execution_id},"
f" error: {result.get('error')}")
# 返回增强的响应结构
return {
@@ -659,6 +684,7 @@ class WorkflowService:
# "messages": result.get("messages"),
"output": result.get("output"), # 最终输出(字符串)
"message": result.get("output"), # 最终输出(字符串)
"message_id": str(message_id),
# "output_data": result.get("node_outputs", {}), # 所有节点输出(详细数据)
"conversation_id": result.get("conversation_id"), # 所有节点输出详细数据payload., # 会话 ID
"error_message": result.get("error"),
@@ -756,7 +782,7 @@ class WorkflowService:
input_data["conv_messages"] = last_state.get("messages") or []
break
init_message_length = len(input_data.get("conv_messages", []))
message_id = uuid.uuid4()
async for event in execute_workflow_stream(
workflow_config=workflow_config_dict,
input_data=input_data,
@@ -765,24 +791,43 @@ class WorkflowService:
user_id=payload.user_id,
):
if event.get("event") == "workflow_end":
status = event.get("data", {}).get("status")
token_usage = event.get("data", {}).get("token_usage", {}) or {}
if status == "completed":
final_messages = event.get("data", {}).get("messages", [])[init_message_length:]
human_message = ""
assistant_message = ""
for message in final_messages:
if message["role"] == "user":
if isinstance(message["content"], str):
human_message += message["content"]
elif isinstance(message["content"], list):
for file in message["content"]:
if file.get("type") == FileType.IMAGE:
human_message += f"![image]({file.get('url', '')})"
else:
human_message += f"[{file.get('type')}]({file.get('url', '')})"
if message["role"] == "assistant":
assistant_message = message["content"]
self.conversation_service.add_message(
conversation_id=conversation_id_uuid,
role="user",
content=human_message,
meta_data=None
)
self.conversation_service.add_message(
message_id=message_id,
conversation_id=conversation_id_uuid,
role="assistant",
content=assistant_message,
meta_data={"usage": token_usage}
)
self.update_execution_status(
execution.execution_id,
"completed",
output_data=event.get("data"),
token_usage=token_usage.get("total_tokens", None)
)
final_messages = event.get("data", {}).get("messages", [])[init_message_length:]
for message in final_messages:
self.conversation_service.add_message(
conversation_id=conversation_id_uuid,
role=message["role"],
content=message["content"],
meta_data=None if message["role"] == "user" else {"usage": token_usage}
)
logger.info(f"Workflow Run Success, "
f"execution_id: {execution.execution_id}, message count: {len(final_messages)}")
elif status == "failed":
@@ -793,6 +838,8 @@ class WorkflowService:
)
else:
logger.error(f"unexpect workflow run status, status: {status}")
elif event.get("event") == "workflow_start":
event["data"]["message_id"] = str(message_id)
event = self._emit(public, event)
if event:
yield event