Merge branch 'develop-mark' into develop

This commit is contained in:
Mark
2025-12-18 19:47:06 +08:00
6 changed files with 256 additions and 118 deletions

View File

@@ -1,7 +1,7 @@
"""
工作流服务层
"""
import json
import logging
import uuid
import datetime
@@ -438,7 +438,7 @@ class WorkflowService:
message=f"工作流配置不存在: app_id={app_id}"
)
input_data = {"message": payload.message, "variables": payload.variables, "conversation_id": payload.conversation_id}
# 转换 user_id 为 UUID
triggered_by_uuid = None
if payload.user_id:
@@ -446,7 +446,7 @@ class WorkflowService:
triggered_by_uuid = uuid.UUID(payload.user_id)
except (ValueError, AttributeError):
logger.warning(f"无效的 user_id 格式: {payload.user_id}")
# 转换 conversation_id 为 UUID
conversation_id_uuid = None
if payload.conversation_id:
@@ -454,7 +454,7 @@ class WorkflowService:
conversation_id_uuid = uuid.UUID(payload.conversation_id)
except (ValueError, AttributeError):
logger.warning(f"无效的 conversation_id 格式: {payload.conversation_id}")
# 2. 创建执行记录
execution = self.create_execution(
workflow_config_id=config.id,
@@ -530,6 +530,109 @@ class WorkflowService:
message=f"工作流执行失败: {str(e)}"
)
async def run_stream(
self,
app_id: uuid.UUID,
payload: DraftRunRequest,
config: WorkflowConfig
):
"""运行工作流(流式)
Args:
app_id: 应用 ID
payload: 请求对象(包含 message, variables, conversation_id 等)
config: 存储类型(可选)
Yields:
SSE 格式的流式事件
Raises:
BusinessException: 配置不存在或执行失败时抛出
"""
# 1. 获取工作流配置
if not config:
config = self.get_workflow_config(app_id)
if not config:
raise BusinessException(
code=BizCode.CONFIG_MISSING,
message=f"工作流配置不存在: app_id={app_id}"
)
input_data = {"message": payload.message, "variables": payload.variables,
"conversation_id": payload.conversation_id}
# 转换 user_id 为 UUID
triggered_by_uuid = None
if payload.user_id:
try:
triggered_by_uuid = uuid.UUID(payload.user_id)
except (ValueError, AttributeError):
logger.warning(f"无效的 user_id 格式: {payload.user_id}")
# 转换 conversation_id 为 UUID
conversation_id_uuid = None
if payload.conversation_id:
try:
conversation_id_uuid = uuid.UUID(payload.conversation_id)
except (ValueError, AttributeError):
logger.warning(f"无效的 conversation_id 格式: {payload.conversation_id}")
# 2. 创建执行记录
execution = self.create_execution(
workflow_config_id=config.id,
app_id=app_id,
trigger_type="manual",
triggered_by=triggered_by_uuid,
conversation_id=conversation_id_uuid,
input_data=input_data
)
# 3. 构建工作流配置字典
workflow_config_dict = {
"nodes": config.nodes,
"edges": config.edges,
"variables": config.variables,
"execution_config": config.execution_config
}
# 4. 获取工作空间 ID从 app 获取)
from app.models import App
# 5. 流式执行工作流
from app.core.workflow.executor import execute_workflow, execute_workflow_stream
try:
# 更新状态为运行中
self.update_execution_status(execution.execution_id, "running")
# 发送开始事件
yield f"data: {json.dumps({'type': 'workflow_start', 'execution_id': execution.execution_id})}\n\n"
# 调用流式执行
async for event in self._run_workflow_stream(
workflow_config=workflow_config_dict,
input_data=input_data,
execution_id=execution.execution_id,
workspace_id="",
user_id=payload.user_id
):
# 清理事件数据,移除不可序列化的对象
cleaned_event = self._clean_event_for_json(event)
# 转换为 SSE 格式
yield f"data: {json.dumps(cleaned_event)}\n\n"
# 发送完成事件
yield f"data: {json.dumps({'type': 'workflow_end', 'execution_id': execution.execution_id})}\n\n"
except Exception as e:
logger.error(f"工作流流式执行失败: execution_id={execution.execution_id}, error={e}", exc_info=True)
self.update_execution_status(
execution.execution_id,
"failed",
error_message=str(e)
)
# 发送错误事件
yield f"data: {json.dumps({'type': 'error', 'execution_id': execution.execution_id, 'error': str(e)})}\n\n"
async def run_workflow(
self,
app_id: uuid.UUID,
@@ -651,14 +754,44 @@ class WorkflowService:
message=f"工作流执行失败: {str(e)}"
)
def _clean_event_for_json(self, event: dict[str, Any]) -> dict[str, Any]:
"""清理事件数据,移除不可序列化的对象
Args:
event: 原始事件数据
Returns:
可序列化的事件数据
"""
from langchain_core.messages import BaseMessage
def clean_value(value):
"""递归清理值"""
if isinstance(value, BaseMessage):
# 将 Message 对象转换为字典
return {
"type": value.__class__.__name__,
"content": value.content,
}
elif isinstance(value, dict):
return {k: clean_value(v) for k, v in value.items()}
elif isinstance(value, list):
return [clean_value(item) for item in value]
elif isinstance(value, (str, int, float, bool, type(None))):
return value
else:
# 其他不可序列化的对象转换为字符串
return str(value)
return clean_value(event)
async def _run_workflow_stream(
self,
workflow_config: dict[str, Any],
input_data: dict[str, Any],
execution_id: str,
workspace_id: str,
user_id: str
):
user_id: str):
"""运行工作流(流式,内部方法)
Args: