113 lines
4.0 KiB
Python
113 lines
4.0 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy.orm import Session
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import uuid
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from datetime import datetime
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from typing import Any, Dict, List, Tuple
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from ..db import get_db
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from ..models import Workflow
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from ..schemas import WorkflowCreate, WorkflowUpdate, WorkflowOut, WorkflowNode, WorkflowEdge
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router = APIRouter(prefix="/workflows", tags=["Workflows"])
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def _normalize_graph_payload(nodes: List[Any], edges: List[Any]) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
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"""Normalize graph payload to canonical dict structures."""
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parsed_nodes: List[WorkflowNode] = []
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for node in nodes:
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parsed_nodes.append(node if isinstance(node, WorkflowNode) else WorkflowNode.model_validate(node))
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parsed_edges: List[WorkflowEdge] = []
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for edge in edges:
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parsed_edges.append(edge if isinstance(edge, WorkflowEdge) else WorkflowEdge.model_validate(edge))
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normalized_nodes = [node.model_dump() for node in parsed_nodes]
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normalized_edges = [edge.model_dump() for edge in parsed_edges]
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return normalized_nodes, normalized_edges
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@router.get("")
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def list_workflows(
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page: int = 1,
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limit: int = 50,
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db: Session = Depends(get_db)
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):
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"""获取工作流列表"""
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query = db.query(Workflow)
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total = query.count()
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workflows = query.order_by(Workflow.created_at.desc()) \
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.offset((page - 1) * limit).limit(limit).all()
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return {"total": total, "page": page, "limit": limit, "list": workflows}
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@router.post("", response_model=WorkflowOut)
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def create_workflow(data: WorkflowCreate, db: Session = Depends(get_db)):
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"""创建工作流"""
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nodes, edges = _normalize_graph_payload(data.nodes, data.edges)
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workflow = Workflow(
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id=str(uuid.uuid4())[:8],
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user_id=1,
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name=data.name,
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node_count=data.nodeCount or len(nodes),
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created_at=data.createdAt or datetime.utcnow().isoformat(),
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updated_at=data.updatedAt or "",
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global_prompt=data.globalPrompt,
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nodes=nodes,
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edges=edges,
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)
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db.add(workflow)
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db.commit()
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db.refresh(workflow)
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return workflow
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@router.get("/{id}", response_model=WorkflowOut)
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def get_workflow(id: str, db: Session = Depends(get_db)):
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"""获取单个工作流"""
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workflow = db.query(Workflow).filter(Workflow.id == id).first()
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if not workflow:
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raise HTTPException(status_code=404, detail="Workflow not found")
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return workflow
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@router.put("/{id}", response_model=WorkflowOut)
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def update_workflow(id: str, data: WorkflowUpdate, db: Session = Depends(get_db)):
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"""更新工作流"""
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workflow = db.query(Workflow).filter(Workflow.id == id).first()
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if not workflow:
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raise HTTPException(status_code=404, detail="Workflow not found")
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update_data = data.model_dump(exclude_unset=True, exclude={"nodes", "edges"})
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field_map = {
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"nodeCount": "node_count",
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"globalPrompt": "global_prompt",
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}
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for field, value in update_data.items():
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setattr(workflow, field_map.get(field, field), value)
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if data.nodes is not None or data.edges is not None:
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existing_nodes = workflow.nodes if isinstance(workflow.nodes, list) else []
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existing_edges = workflow.edges if isinstance(workflow.edges, list) else []
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input_nodes = data.nodes if data.nodes is not None else existing_nodes
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input_edges = data.edges if data.edges is not None else existing_edges
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nodes, edges = _normalize_graph_payload(input_nodes, input_edges)
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workflow.nodes = nodes
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workflow.edges = edges
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workflow.node_count = len(nodes)
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workflow.updated_at = datetime.utcnow().isoformat()
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db.commit()
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db.refresh(workflow)
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return workflow
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@router.delete("/{id}")
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def delete_workflow(id: str, db: Session = Depends(get_db)):
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"""删除工作流"""
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workflow = db.query(Workflow).filter(Workflow.id == id).first()
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if not workflow:
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raise HTTPException(status_code=404, detail="Workflow not found")
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db.delete(workflow)
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db.commit()
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return {"message": "Deleted successfully"}
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