103 lines
2.8 KiB
Python
103 lines
2.8 KiB
Python
"""协议状态展示（含作废类型后缀）。"""
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from __future__ import annotations
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from typing import Dict, Optional
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from sqlalchemy.orm import Session
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from app.models.models import SysDictData
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VOID_TYPE_DICT = "xyzflx"
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# 协议/捐赠单无效态（与样本接收、生产工单列表过滤口径一致）
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INACTIVE_PROTOCOL_STATUSES = ("yzf", "sdfq")
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_PROTOCOL_STATUS_LABELS = {
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"dsx": "待生效",
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"sxz": "生效中",
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"ygq": "已过期",
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"yzf": "已作废",
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"sdfq": "属地废弃",
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"zky": "转科研",
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}
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_DONATION_STATUS_LABELS = {
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"dsx": "待生效",
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"sxz": "生效中",
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"ygq": "已过期",
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"yzf": "已作废",
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"sdfq": "属地废弃",
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"zckc": "转细胞存储",
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}
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_VOID_TYPE_FALLBACK_LABELS = {
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"khhc": "客户毁存",
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"jcbhg": "检测不合格",
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}
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def resolve_void_type_label(
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db: Optional[Session],
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tenant_no: Optional[str],
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void_type: Optional[str],
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) -> str:
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code = (void_type or "").strip()
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if not code:
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return ""
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if db is not None and tenant_no:
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row = (
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db.query(SysDictData.dict_label)
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.filter(
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SysDictData.dict_type == VOID_TYPE_DICT,
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SysDictData.dict_value == code,
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SysDictData.tenant_no == tenant_no,
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SysDictData.del_flag == 0,
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)
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.first()
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)
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if row and (row.dict_label or "").strip():
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return (row.dict_label or "").strip()
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return _VOID_TYPE_FALLBACK_LABELS.get(code, code)
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def format_protocol_status_label(
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status: str,
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void_type: Optional[str] = None,
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*,
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kind: str = "protocol",
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db: Optional[Session] = None,
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tenant_no: Optional[str] = None,
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) -> str:
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st = (status or "").strip()
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labels = _DONATION_STATUS_LABELS if kind == "donation" else _PROTOCOL_STATUS_LABELS
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base = labels.get(st, st)
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if st != "yzf":
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return base
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vt_label = resolve_void_type_label(db, tenant_no, void_type)
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if vt_label:
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return f"{base}({vt_label})"
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return base
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def build_void_type_label_map(
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db: Session,
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tenant_no: str,
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codes: list[str],
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) -> Dict[str, str]:
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normalized = list({(c or "").strip() for c in codes if (c or "").strip()})
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if not normalized:
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return {}
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rows = (
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db.query(SysDictData.dict_value, SysDictData.dict_label)
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.filter(
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SysDictData.dict_type == VOID_TYPE_DICT,
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SysDictData.dict_value.in_(normalized),
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SysDictData.tenant_no == tenant_no,
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SysDictData.del_flag == 0,
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)
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.all()
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)
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out = {r.dict_value: (r.dict_label or "").strip() for r in rows if (r.dict_value or "").strip()}
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for code in normalized:
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out.setdefault(code, _VOID_TYPE_FALLBACK_LABELS.get(code, code))
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return out
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