448 lines
15 KiB
Python
448 lines
15 KiB
Python
"""工艺库 CRUD（biz_process + biz_process_reagent/consumable/output）"""
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from __future__ import annotations
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import math
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from datetime import datetime
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from typing import Any, Dict, List, Optional, Tuple
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from sqlalchemy import and_, func, or_
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from sqlalchemy.orm import Session
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from app.core.utils import generate_uuid
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from app.models.models import (
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BizProcess,
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BizProcessConsumable,
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BizProcessDataCollection,
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BizProcessOutput,
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BizProcessReagent,
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)
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def _reagent_row_to_dict(r: BizProcessReagent) -> Dict[str, Any]:
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return {
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"id": r.id,
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"processId": r.process_id,
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"reagentCode": r.reagent_code,
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"reagentName": r.reagent_name,
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"spec": r.spec or "",
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"standardUsage": r.standard_usage or "",
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"unit": r.unit or "",
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"isKeyMaterial": r.is_key_material if r.is_key_material is not None else 0,
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"remark": r.remark or "",
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}
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def _consumable_row_to_dict(c: BizProcessConsumable) -> Dict[str, Any]:
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return {
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"id": c.id,
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"processId": c.process_id,
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"consumableCode": c.consumable_code,
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"consumableName": c.consumable_name,
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"specModel": c.spec_model or "",
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"standardUsage": c.standard_usage or "",
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"unit": c.unit or "",
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"isRequired": c.is_required if c.is_required is not None else 0,
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"remark": c.remark or "",
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}
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def _output_row_to_dict(o: BizProcessOutput) -> Dict[str, Any]:
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return {
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"id": o.id,
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"processId": o.process_id,
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"outputTypeId": o.output_type_id or "",
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"outputName": o.output_name or "",
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"outputBarcode": o.output_barcode or "",
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}
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def _data_collection_row_to_dict(d: BizProcessDataCollection) -> Dict[str, Any]:
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return {
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"id": d.id,
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"processId": d.process_id,
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"collectionName": d.collection_name or "",
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"unit": d.unit or "",
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"orderNum": d.order_num if d.order_num is not None else 0,
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"remark": d.remark or "",
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}
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def _row_to_dict(p: BizProcess) -> Dict[str, Any]:
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return {
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"id": p.id,
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"processCode": p.process_code,
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"categoryId": p.category_id or "",
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"processName": p.process_name,
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"description": p.description or "",
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"equipmentName": p.equipment_name or "",
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"estimatedDuration": p.estimated_duration or "",
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"sopIds": p.sop_ids or "",
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"tenantNo": p.tenant_no,
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"orderNum": p.order_num if p.order_num is not None else 0,
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"remark": p.remark or "",
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"createTime": p.create_time.strftime("%Y-%m-%d %H:%M:%S") if p.create_time else "",
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"updateTime": p.update_time.strftime("%Y-%m-%d %H:%M:%S") if p.update_time else "",
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}
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def list_processes(
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db: Session,
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*,
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page: int = 1,
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page_size: int = 10,
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keyword: Optional[str] = None,
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tenant_no: Optional[str] = None,
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) -> Tuple[List[Dict[str, Any]], int]:
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def _filtered():
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q0 = db.query(BizProcess).filter(BizProcess.del_flag == 0)
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if tenant_no:
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q0 = q0.filter(BizProcess.tenant_no == tenant_no)
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kw = (keyword or "").strip()
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if kw:
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like = f"%{kw}%"
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q0 = q0.filter(
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or_(
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BizProcess.process_code.like(like),
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BizProcess.process_name.like(like),
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)
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)
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return q0
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total = _filtered().order_by(None).with_entities(func.count(BizProcess.id)).scalar() or 0
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page = max(1, page)
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page_size = min(max(1, page_size), 100)
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rows = (
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_filtered()
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.order_by(BizProcess.create_time.desc())
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.offset((page - 1) * page_size)
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.limit(page_size)
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.all()
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)
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return [_row_to_dict(x) for x in rows], int(total)
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def list_all_processes(db: Session, tenant_no: str) -> List[Dict[str, Any]]:
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rows = (
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db.query(BizProcess)
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.filter(and_(BizProcess.tenant_no == tenant_no, BizProcess.del_flag == 0))
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.order_by(BizProcess.create_time.desc())
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.all()
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)
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return [_row_to_dict(x) for x in rows]
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def get_process(db: Session, process_id: str) -> Optional[BizProcess]:
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return (
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db.query(BizProcess)
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.filter(and_(BizProcess.id == process_id, BizProcess.del_flag == 0))
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.first()
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)
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def get_process_detail(db: Session, process_id: str) -> Optional[Dict[str, Any]]:
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proc = get_process(db, process_id)
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if not proc:
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return None
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result = _row_to_dict(proc)
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reagents = (
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db.query(BizProcessReagent)
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.filter(and_(BizProcessReagent.process_id == process_id, BizProcessReagent.del_flag == 0))
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.order_by(BizProcessReagent.create_time.asc())
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.all()
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)
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consumables = (
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db.query(BizProcessConsumable)
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.filter(and_(BizProcessConsumable.process_id == process_id, BizProcessConsumable.del_flag == 0))
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.order_by(BizProcessConsumable.create_time.asc())
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.all()
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)
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outputs = (
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db.query(BizProcessOutput)
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.filter(and_(BizProcessOutput.process_id == process_id, BizProcessOutput.del_flag == 0))
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.order_by(BizProcessOutput.create_time.asc())
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.all()
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)
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result["reagents"] = [_reagent_row_to_dict(r) for r in reagents]
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result["consumables"] = [_consumable_row_to_dict(c) for c in consumables]
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result["outputs"] = [_output_row_to_dict(o) for o in outputs]
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data_collections = (
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db.query(BizProcessDataCollection)
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.filter(and_(BizProcessDataCollection.process_id == process_id, BizProcessDataCollection.del_flag == 0))
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.order_by(BizProcessDataCollection.order_num.asc(), BizProcessDataCollection.create_time.asc())
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.all()
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)
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result["dataCollections"] = [_data_collection_row_to_dict(d) for d in data_collections]
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return result
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def process_code_exists(db: Session, code: str, tenant_no: str, exclude_id: Optional[str] = None) -> bool:
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q = db.query(BizProcess).filter(
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and_(BizProcess.process_code == code.strip(), BizProcess.tenant_no == tenant_no, BizProcess.del_flag == 0)
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)
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if exclude_id:
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q = q.filter(BizProcess.id != exclude_id)
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return q.first() is not None
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def _create_sub_reagent(db: Session, process_id: str, tenant_no: str, user_id: Optional[str], now: datetime, data: Dict[str, Any]) -> None:
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obj = BizProcessReagent(
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id=generate_uuid(),
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process_id=process_id,
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reagent_code=(data.get("reagent_code") or "").strip(),
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reagent_name=(data.get("reagent_name") or "").strip(),
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spec=(data.get("spec") or "").strip() or None,
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standard_usage=(data.get("standard_usage") or "").strip() or None,
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unit=(data.get("unit") or "").strip() or None,
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is_key_material=data.get("is_key_material", 0),
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tenant_no=tenant_no,
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order_num=0,
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create_by=user_id,
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create_dept_id="",
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create_time=now,
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update_by=user_id,
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update_time=now,
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del_flag=0,
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)
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db.add(obj)
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def _create_sub_consumable(db: Session, process_id: str, tenant_no: str, user_id: Optional[str], now: datetime, data: Dict[str, Any]) -> None:
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obj = BizProcessConsumable(
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id=generate_uuid(),
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process_id=process_id,
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consumable_code=(data.get("consumable_code") or "").strip(),
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consumable_name=(data.get("consumable_name") or "").strip(),
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spec_model=(data.get("spec_model") or "").strip() or None,
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standard_usage=(data.get("standard_usage") or "").strip() or None,
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unit=(data.get("unit") or "").strip() or None,
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is_required=data.get("is_required", 0),
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remark=(data.get("remark") or "").strip() or None,
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tenant_no=tenant_no,
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order_num=0,
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create_by=user_id,
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create_dept_id="",
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create_time=now,
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update_by=user_id,
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update_time=now,
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del_flag=0,
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)
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db.add(obj)
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def _create_sub_output(db: Session, process_id: str, tenant_no: str, user_id: Optional[str], now: datetime, data: Dict[str, Any]) -> None:
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obj = BizProcessOutput(
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id=generate_uuid(),
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process_id=process_id,
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output_type_id=(data.get("output_type_id") or "").strip() or None,
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output_name=(data.get("output_name") or "").strip() or None,
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output_barcode=(data.get("output_barcode") or "").strip() or None,
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remark=(data.get("remark") or "").strip() or None,
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tenant_no=tenant_no,
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order_num=0,
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create_by=user_id,
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create_dept_id="",
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create_time=now,
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update_by=user_id,
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update_time=now,
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del_flag=0,
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)
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db.add(obj)
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def _create_sub_data_collection(db: Session, process_id: str, tenant_no: str, user_id: Optional[str], now: datetime, data: Dict[str, Any]) -> None:
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obj = BizProcessDataCollection(
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id=generate_uuid(),
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process_id=process_id,
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collection_name=(data.get("collection_name") or "").strip(),
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unit=(data.get("unit") or "").strip() or None,
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tenant_no=tenant_no,
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order_num=data.get("order_num", 0) or 0,
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remark=(data.get("remark") or "").strip() or None,
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create_by=user_id,
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create_dept_id="",
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create_time=now,
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update_by=user_id,
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update_time=now,
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del_flag=0,
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)
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db.add(obj)
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def create_process(
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db: Session,
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*,
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process_code: str,
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process_name: str,
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category_id: Optional[str] = None,
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description: Optional[str] = None,
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equipment_name: Optional[str] = None,
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estimated_duration: Optional[str] = None,
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sop_ids: Optional[str] = None,
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reagents: Optional[List[Dict[str, Any]]] = None,
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consumables: Optional[List[Dict[str, Any]]] = None,
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outputs: Optional[List[Dict[str, Any]]] = None,
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data_collections: Optional[List[Dict[str, Any]]] = None,
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tenant_no: str = "zkxw",
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order_num: Optional[int] = None,
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remark: Optional[str] = None,
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user_id: Optional[str] = None,
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) -> BizProcess:
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pc = (process_code or "").strip()
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if not pc:
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raise ValueError("工艺编码不能为空")
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if process_code_exists(db, pc, tenant_no):
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raise ValueError("工艺编码已存在")
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now = datetime.now()
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obj = BizProcess(
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id=generate_uuid(),
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process_code=pc,
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process_name=(process_name or "").strip() or pc,
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category_id=(category_id or "").strip() or None,
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description=(description or "").strip() or None,
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equipment_name=(equipment_name or "").strip() or None,
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estimated_duration=(estimated_duration or "").strip() or None,
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sop_ids=(sop_ids or "").strip() or None,
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tenant_no=tenant_no,
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order_num=order_num if order_num is not None else 0,
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remark=(remark or "").strip() or None,
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create_by=user_id,
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create_dept_id="",
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create_time=now,
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update_by=user_id,
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update_time=now,
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del_flag=0,
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)
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db.add(obj)
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db.flush()
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if reagents:
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for r in reagents:
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_create_sub_reagent(db, obj.id, tenant_no, user_id, now, r)
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if consumables:
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for c in consumables:
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_create_sub_consumable(db, obj.id, tenant_no, user_id, now, c)
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if outputs:
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for o in outputs:
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_create_sub_output(db, obj.id, tenant_no, user_id, now, o)
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if data_collections:
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for d in data_collections:
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_create_sub_data_collection(db, obj.id, tenant_no, user_id, now, d)
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db.commit()
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db.refresh(obj)
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return obj
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def _soft_delete_sub_records(db: Session, model_class, process_id: str, now: datetime) -> None:
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rows = (
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db.query(model_class)
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.filter(and_(model_class.process_id == process_id, model_class.del_flag == 0))
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.all()
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)
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for r in rows:
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r.del_flag = 1
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r.update_time = now
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db.add(r)
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def update_process(
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db: Session,
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process_id: str,
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*,
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process_code: Optional[str] = None,
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process_name: Optional[str] = None,
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category_id: Optional[str] = None,
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description: Optional[str] = None,
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equipment_name: Optional[str] = None,
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estimated_duration: Optional[str] = None,
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sop_ids: Optional[str] = None,
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reagents: Optional[List[Dict[str, Any]]] = None,
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consumables: Optional[List[Dict[str, Any]]] = None,
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outputs: Optional[List[Dict[str, Any]]] = None,
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data_collections: Optional[List[Dict[str, Any]]] = None,
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order_num: Optional[int] = None,
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remark: Optional[str] = None,
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user_id: Optional[str] = None,
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) -> BizProcess:
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obj = get_process(db, process_id)
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if not obj:
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raise ValueError("工艺不存在")
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if process_code is not None:
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new_code = process_code.strip()
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if not new_code:
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raise ValueError("工艺编码不能为空")
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old_code = (obj.process_code or "").strip()
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if new_code != old_code and process_code_exists(db, new_code, obj.tenant_no, exclude_id=process_id):
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raise ValueError("工艺编码已存在")
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obj.process_code = new_code
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if process_name is not None:
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obj.process_name = (process_name or "").strip() or obj.process_name
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if category_id is not None:
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obj.category_id = (category_id or "").strip() or None
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if description is not None:
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obj.description = (description or "").strip() or None
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if equipment_name is not None:
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obj.equipment_name = (equipment_name or "").strip() or None
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if estimated_duration is not None:
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obj.estimated_duration = (estimated_duration or "").strip() or None
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if sop_ids is not None:
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obj.sop_ids = (sop_ids or "").strip() or None
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if order_num is not None:
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obj.order_num = order_num
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if remark is not None:
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obj.remark = (remark or "").strip() or None
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obj.update_by = user_id
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obj.update_time = datetime.now()
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db.add(obj)
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sub_updated = reagents is not None or consumables is not None or outputs is not None or data_collections is not None
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if sub_updated:
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now = datetime.now()
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if reagents is not None:
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_soft_delete_sub_records(db, BizProcessReagent, process_id, now)
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for r in reagents:
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_create_sub_reagent(db, process_id, obj.tenant_no, user_id, now, r)
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if consumables is not None:
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_soft_delete_sub_records(db, BizProcessConsumable, process_id, now)
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for c in consumables:
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_create_sub_consumable(db, process_id, obj.tenant_no, user_id, now, c)
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if outputs is not None:
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_soft_delete_sub_records(db, BizProcessOutput, process_id, now)
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for o in outputs:
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_create_sub_output(db, process_id, obj.tenant_no, user_id, now, o)
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if data_collections is not None:
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_soft_delete_sub_records(db, BizProcessDataCollection, process_id, now)
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for d in data_collections:
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_create_sub_data_collection(db, process_id, obj.tenant_no, user_id, now, d)
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db.commit()
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db.refresh(obj)
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return obj
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def soft_delete_process(db: Session, process_id: str) -> None:
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obj = get_process(db, process_id)
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if not obj:
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raise ValueError("工艺不存在")
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now = datetime.now()
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obj.del_flag = 1
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obj.update_time = now
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db.add(obj)
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_soft_delete_sub_records(db, BizProcessReagent, process_id, now)
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_soft_delete_sub_records(db, BizProcessConsumable, process_id, now)
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_soft_delete_sub_records(db, BizProcessOutput, process_id, now)
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_soft_delete_sub_records(db, BizProcessDataCollection, process_id, now)
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db.commit()
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def total_pages(total: int, page_size: int) -> int:
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if total <= 0:
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return 0
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return int(math.ceil(total / float(page_size)))
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