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geMoldInsight/src/moldinsight/api/batch_router.py
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"""
moldinsight/api/batch_router.py — 批量分析端点
- POST /api/batch-upload 批量上传多文件,返回 batch_id + 各 task_id
- GET /api/batch/{batch_id} 聚合查询批量任务进度
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批次 2(D7):批量元数据以 PG 为单一事实源——ProcessingTask.batch_id
列聚合查询,替代此前的 Redis key + 进程内存降级存储。
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"""
import uuid
from datetime import datetime
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from typing import List, Dict, Any
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from fastapi import APIRouter, UploadFile, File, Form, HTTPException, Depends
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import joinedload
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from shared.database.database import get_db_session
from shared.services.auth_service import get_current_active_user
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from shared.models.database import User, ProcessingTask, STPFile
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from shared.models.schemas import ProcessingStatus, create_task_info
from shared.services.redis_task_manager import redis_task_manager
from shared.utils.file_handler import FileHandler
from shared.utils.logger import get_logger
from moldinsight.services.storage_integration_rustfs import StorageIntegrationService
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from moldinsight.services.task_dispatcher import dispatch_processing
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logger = get_logger(__name__)
router = APIRouter()
file_handler = FileHandler()
@router.post("/batch-upload")
async def batch_upload(
files: List[UploadFile] = File(...),
material: str = Form("ABS"),
draft_angle: float = Form(2.0),
shrinkage_rate: float = Form(0.5),
parting_precision: float = Form(0.1),
cavity_match: int = Form(95),
db_session: AsyncSession = Depends(get_db_session),
current_user: User = Depends(get_current_active_user),
):
"""批量上传多个 STP 文件,每个文件创建独立分析任务,用 batch_id 聚合。"""
if not files:
raise HTTPException(400, "请至少上传一个文件")
if len(files) > 20:
raise HTTPException(400, "单次批量上传最多 20 个文件")
process_params = {
"material": material,
"draft_angle": float(draft_angle),
"shrinkage_rate": float(shrinkage_rate),
"parting_precision": float(parting_precision),
"cavity_match": int(cavity_match),
}
batch_id = str(uuid.uuid4())
tasks: List[Dict[str, Any]] = []
storage_service = StorageIntegrationService()
for file in files:
# 文件类型检查
if not file.filename.lower().endswith(('.stp', '.step')):
tasks.append({
"filename": file.filename,
"task_id": None,
"status": "rejected",
"error": "不支持的文件类型",
})
continue
task_id = str(uuid.uuid4())
try:
file_path, file_size, file_meta = await file_handler.save_uploaded_file(file)
stp_file = await storage_service.save_stp_file(
session=db_session,
file_path=file_path,
original_filename=file_meta["safe_original_name"],
user_id=current_user.id,
)
await storage_service.create_processing_task(
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db_session, task_id, stp_file.id,
parameters=process_params, batch_id=batch_id,
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)
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# D9:STPFile + ProcessingTask 原子提交,分派前置事务收口
await db_session.commit()
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task_info = create_task_info(
task_id=task_id,
status=ProcessingStatus.PROCESSING,
filename=file.filename,
file_path=str(file_path),
file_size=file_size,
upload_time=str(datetime.now()),
)
task_info["material"] = material
task_info["parameters"] = process_params
task_info["batch_id"] = batch_id
await redis_task_manager.set_task(task_id, task_info)
# 调度处理
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dispatch_processing(task_id, stp_file.id, process_params)
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tasks.append({
"filename": file.filename,
"task_id": task_id,
"status": "processing",
"stp_file_id": stp_file.id,
})
logger.info(
f"[BATCH] batch_id={batch_id} task_id={task_id} "
f"file={file.filename} user={current_user.username}"
)
except Exception as exc:
logger.warning(f"[BATCH] 文件 {file.filename} 上传失败: {exc}")
tasks.append({
"filename": file.filename,
"task_id": task_id,
"status": "error",
"error": str(exc),
})
return {
"batch_id": batch_id,
"total": len(tasks),
"accepted": sum(1 for t in tasks if t.get("status") != "rejected"),
"tasks": tasks,
}
@router.get("/batch/{batch_id}")
async def get_batch_status(
batch_id: str,
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db_session: AsyncSession = Depends(get_db_session),
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current_user: User = Depends(get_current_active_user),
):
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"""聚合查询批量任务进度(D7:以 PG 为单一事实源,按 batch_id 聚合;Redis 仅热缓存)"""
rows = (await db_session.execute(
select(ProcessingTask, STPFile)
.join(STPFile, ProcessingTask.stp_file_id == STPFile.id)
.where(ProcessingTask.batch_id == batch_id)
.options(joinedload(STPFile.html_file))
.order_by(ProcessingTask.id)
)).unique().all()
if not rows:
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raise HTTPException(404, "批量任务不存在或已过期")
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# 归属校验:同批任务属于同一上传用户,任一不匹配即拒绝(无主不等于公共)
if any(getattr(stp, "user_id", None) != current_user.id for _, stp in rows):
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raise HTTPException(403, "无权访问该批量任务")
task_statuses = []
completed = 0
failed = 0
processing = 0
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earliest_created = None
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for task, stp in rows:
status = task.status or "unknown"
if earliest_created is None or (
task.created_time and task.created_time < earliest_created
):
earliest_created = task.created_time
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if status == ProcessingStatus.COMPLETED:
completed += 1
elif status == ProcessingStatus.FAILED:
failed += 1
else:
processing += 1
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html_file = ""
if stp.html_file and stp.html_file.filename:
html_file = f"/html/{stp.html_file.filename}"
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task_statuses.append({
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"task_id": task.task_id,
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"status": status,
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"progress": task.progress or 0,
"current_step": task.current_step,
"filename": stp.original_filename or "",
"error": task.error_message or "",
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"html_file": html_file,
})
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total = len(rows)
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return {
"batch_id": batch_id,
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"created_at": earliest_created.isoformat() if earliest_created else None,
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"total": total,
"completed": completed,
"failed": failed,
"processing": processing,
"progress_percent": round((completed + failed) / max(total, 1) * 100, 1),
"tasks": task_statuses,
}