257 lines
7.7 KiB
Python
257 lines
7.7 KiB
Python
"""
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数据库操作API
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提供工作流相关的所有数据库操作函数
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"""
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from datetime import datetime
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from typing import Optional, List
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import json
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import uuid
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from sqlalchemy.future import select
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from sqlalchemy import delete
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from .models import Base, Workflow, WorkflowRun, WorkflowRunNode
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from .connection import async_engine, AsyncSessionLocal
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async def init_db():
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"""初始化数据库表结构"""
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async with async_engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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print(f"数据库表结构已创建完成。")
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async def save_workflow(name: str, workflow_json: str):
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"""保存工作流"""
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version = datetime.now().strftime("%Y%m%d%H%M%S")
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workflow = Workflow(
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name=f"{name} [{version}]",
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base_name=name,
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version=version,
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workflow_json=workflow_json,
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)
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async with AsyncSessionLocal() as session:
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await session.merge(workflow) # 使用merge实现INSERT OR REPLACE
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await session.commit()
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async def get_all_workflows() -> List[dict]:
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"""获取所有工作流（最新版本）"""
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async with AsyncSessionLocal() as session:
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# 使用子查询获取每个base_name的最新版本
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stmt = (
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select(Workflow)
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.where(
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Workflow.version
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== select(Workflow.version)
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.where(Workflow.base_name == Workflow.base_name)
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.order_by(Workflow.version.desc())
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.limit(1)
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.scalar_subquery()
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)
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.order_by(Workflow.base_name)
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)
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result = await session.execute(stmt)
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workflows = result.scalars().all()
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return [
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{"name": wf.name, "workflow": json.loads(wf.workflow_json)}
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for wf in workflows
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]
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async def get_latest_workflow_by_base_name(base_name: str) -> Optional[dict]:
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"""根据基础名称获取最新版本的工作流"""
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async with AsyncSessionLocal() as session:
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stmt = (
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select(Workflow)
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.where(Workflow.base_name == base_name)
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.order_by(Workflow.version.desc())
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.limit(1)
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)
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result = await session.execute(stmt)
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workflow = result.scalar_one_or_none()
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return workflow.to_dict() if workflow else None
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async def get_workflow_by_version(base_name: str, version: str) -> Optional[dict]:
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"""根据版本获取工作流"""
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name = f"{base_name} [{version}]"
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async with AsyncSessionLocal() as session:
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stmt = select(Workflow).where(Workflow.name == name)
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result = await session.execute(stmt)
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workflow = result.scalar_one_or_none()
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return workflow.to_dict() if workflow else None
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async def get_workflow(name: str, version: Optional[str] = None) -> Optional[dict]:
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"""获取工作流"""
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if version:
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return await get_workflow_by_version(name, version)
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else:
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return await get_latest_workflow_by_base_name(name)
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async def delete_workflow(name: str) -> bool:
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"""删除工作流"""
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async with AsyncSessionLocal() as session:
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stmt = delete(Workflow).where(Workflow.name == name)
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result = await session.execute(stmt)
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await session.commit()
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return result.rowcount > 0
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async def create_workflow_run(
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workflow_run_id: str,
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workflow_name: str,
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workflow_json: str,
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api_spec: str,
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request_data: str,
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) -> str:
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"""创建新的工作流运行记录"""
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workflow_run = WorkflowRun(
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id=workflow_run_id,
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workflow_name=workflow_name,
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workflow_json=workflow_json,
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api_spec=api_spec,
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request_data=request_data,
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)
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async with AsyncSessionLocal() as session:
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session.add(workflow_run)
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await session.commit()
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return workflow_run_id
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async def update_workflow_run_status(
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workflow_run_id: str,
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status: str,
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server_url: str = None,
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prompt_id: str = None,
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client_id: str = None,
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error_message: str = None,
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result: str = None,
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):
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"""更新工作流运行状态"""
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async with AsyncSessionLocal() as session:
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workflow_run = await session.get(WorkflowRun, workflow_run_id)
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if not workflow_run:
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return
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workflow_run.status = status
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if status == "running":
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workflow_run.server_url = server_url
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workflow_run.prompt_id = prompt_id
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workflow_run.client_id = client_id
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workflow_run.started_at = datetime.utcnow()
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elif status == "completed":
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workflow_run.completed_at = datetime.utcnow()
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workflow_run.result = result
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elif status == "failed":
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workflow_run.error_message = error_message
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workflow_run.completed_at = datetime.utcnow()
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await session.commit()
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async def create_workflow_run_nodes(workflow_run_id: str, nodes_data: List[dict]):
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"""创建工作流运行节点记录"""
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nodes = []
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for node in nodes_data:
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node_obj = WorkflowRunNode(
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id=str(uuid.uuid4()),
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workflow_run_id=workflow_run_id,
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node_id=node["id"],
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node_type=node["type"],
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)
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nodes.append(node_obj)
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async with AsyncSessionLocal() as session:
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session.add_all(nodes)
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await session.commit()
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async def update_workflow_run_node_status(
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workflow_run_id: str,
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node_id: str,
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status: str,
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output_data: str = None,
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error_message: str = None,
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):
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"""更新工作流运行节点状态"""
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async with AsyncSessionLocal() as session:
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stmt = select(WorkflowRunNode).where(
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WorkflowRunNode.workflow_run_id == workflow_run_id,
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WorkflowRunNode.node_id == node_id,
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)
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result = await session.execute(stmt)
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node = result.scalar_one_or_none()
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if not node:
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return
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node.status = status
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if status == "running":
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node.started_at = datetime.utcnow()
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elif status == "completed":
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node.output_data = output_data
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node.completed_at = datetime.utcnow()
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elif status == "failed":
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node.error_message = error_message
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node.completed_at = datetime.utcnow()
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await session.commit()
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async def get_workflow_run(workflow_run_id: str) -> Optional[dict]:
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"""获取工作流运行记录"""
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async with AsyncSessionLocal() as session:
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workflow_run = await session.get(WorkflowRun, workflow_run_id)
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return workflow_run.to_dict() if workflow_run else None
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async def get_workflow_run_nodes(workflow_run_id: str) -> List[dict]:
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"""获取工作流运行节点记录"""
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async with AsyncSessionLocal() as session:
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stmt = select(WorkflowRunNode).where(
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WorkflowRunNode.workflow_run_id == workflow_run_id
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)
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result = await session.execute(stmt)
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nodes = result.scalars().all()
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return [node.to_dict() for node in nodes]
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async def get_pending_workflow_runs() -> List[dict]:
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"""获取所有待处理的工作流运行记录"""
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async with AsyncSessionLocal() as session:
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stmt = (
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select(WorkflowRun)
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.where(WorkflowRun.status == "pending")
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.order_by(WorkflowRun.created_at.asc())
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)
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result = await session.execute(stmt)
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runs = result.scalars().all()
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return [run.to_dict() for run in runs]
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async def get_running_workflow_runs() -> List[dict]:
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"""获取所有正在运行的工作流运行记录"""
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async with AsyncSessionLocal() as session:
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stmt = select(WorkflowRun).where(WorkflowRun.status == "running")
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result = await session.execute(stmt)
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runs = result.scalars().all()
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return [run.to_dict() for run in runs]
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