Files
MemoryBear/api/app/schemas/app_log_schema.py
wwq cf8db47389 feat(workflow): augment logging capabilities with execution status and loop support
- Augment workflow logs with execution status fields and loop node information.
- Refactor log service to handle distinct processing logic for workflows and agents.
- Construct message and node logs derived from workflow_executions data.
2026-04-24 17:02:03 +08:00

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"""应用日志消息记录Schema"""
import uuid
import datetime
from typing import Optional, Dict, Any, List
from pydantic import BaseModel, Field, ConfigDict, field_serializer
class AppLogMessage(BaseModel):
"""单条消息记录"""
model_config = ConfigDict(from_attributes=True)
id: uuid.UUID
conversation_id: uuid.UUID
role: str = Field(description="角色: user / assistant / system")
content: str
status: Optional[str] = Field(default=None, description="执行状态(工作流专用): completed / failed")
meta_data: Optional[Dict[str, Any]] = None
created_at: datetime.datetime
@field_serializer("created_at", when_used="json")
def _serialize_created_at(self, dt: datetime.datetime):
return int(dt.timestamp() * 1000) if dt else None
@field_serializer("meta_data", when_used="json")
def _serialize_meta_data(self, data: Optional[Dict[str, Any]]):
return data or {}
class AppLogConversation(BaseModel):
"""会话摘要(用于列表)"""
model_config = ConfigDict(from_attributes=True)
id: uuid.UUID
app_id: uuid.UUID
user_id: Optional[str] = None
title: Optional[str] = None
message_count: int = 0
is_draft: bool
created_at: datetime.datetime
updated_at: datetime.datetime
@field_serializer("created_at", when_used="json")
def _serialize_created_at(self, dt: datetime.datetime):
return int(dt.timestamp() * 1000) if dt else None
@field_serializer("updated_at", when_used="json")
def _serialize_updated_at(self, dt: datetime.datetime):
return int(dt.timestamp() * 1000) if dt else None
class AppLogNodeExecution(BaseModel):
"""工作流节点执行记录"""
node_id: str
node_type: str
node_name: Optional[str] = None
status: str = "pending"
error: Optional[str] = None
input: Optional[Any] = None
process: Optional[Any] = None
output: Optional[Any] = None
cycle_items: Optional[List[Any]] = None
elapsed_time: Optional[float] = None
token_usage: Optional[Dict[str, Any]] = None
class AppLogConversationDetail(AppLogConversation):
"""会话详情(包含消息列表)"""
messages: List[AppLogMessage] = Field(default_factory=list)
node_executions_map: Dict[str, List[AppLogNodeExecution]] = Field(default_factory=dict, description="按消息ID分组的节点执行记录")