PayrollManagementSystem/backend/app/models/param.py
liuwenxin bc019cadf5 feat(system): 新增岗位角色与计提参数四表及 V3 迁移
- business_roles/param_definitions/param_change_batches/param_values 四表 + 种子(3 内置岗位/16 参数定义/19 版本条目/初始批次 P20260101-00)
- 双轨迁移:Alembic bfbda9c3191d + db/migration/V3 导出 + init-dev.sql 同步(schema_sync 校验通过)
- 参数值以 Fraction 可解析字符串存储(4/360 禁 0.011111);企业户 2‰→3‰ 双种子支持按到账日回溯

Co-Authored-By: Claude Code <noreply@anthropic.com>
2026-10-12 16:13:13 +08:00

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"""计提参数模型:定义、变更批次与版本条目。
存储设计(M1 评审定稿):
- 参数值按**生效日期时点化**存储(逐项版本条目,append-only),核算按业务
日期回溯取值(对照表 #11:按回款到账日匹配参数版本),禁读「当前值」算历史
- 「版本」由变更批次承载:一次保存 = 一个批次 = 一条变更记录;条目逐项留痕
(旧值/新值),满足 #28 版本管理与留痕(需规 2.3.1 四)
- 值一律为 Fraction 可解析字符串(如 "4/360",禁 0.011111),解析不经 float
- **不设 (param_id, dimension_value, effective_date) 唯一键**:同日多次修正
是合法留痕,解析取 (effective_date, id) 最新一条;唯一键会把同日二次变更
逼成覆盖写、丢失中间值
- 批次与条目均为 append-only(仅 create_time、无 update_time,同 login_logs
先例):带 ON UPDATE 的列会让「未改也被刷新」造成留痕假象
"""
from datetime import date, datetime
from sqlalchemy import Date, DateTime, ForeignKey, Index, Integer, String, text
from sqlalchemy.orm import Mapped, mapped_column
from app.models.base import BIGINT_UNSIGNED, TINYINT_TYPE, Base, TimestampMixin, mysql_table_args
class ParamDefinition(Base, TimestampMixin):
"""计提参数定义表。目录元数据(类型/单位/维度/取值域),随迁移种子初始化。"""
__tablename__ = "param_definitions"
__table_args__ = mysql_table_args("计提参数定义表")
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
param_code: Mapped[str] = mapped_column(
String(64), nullable=False, unique=True, comment="参数编码,如 salesperson.rate.slope"
)
param_name: Mapped[str] = mapped_column(String(64), nullable=False, comment="参数名称")
param_group: Mapped[str] = mapped_column(
String(32),
nullable=False,
comment="参数分组:业务员个人户/经理分成/企业户/信息员/支付环节/产品阈值/月工资口径",
)
value_type: Mapped[str] = mapped_column(
String(16), nullable=False, comment="值类型:DECIMAL/INT/BOOL/ENUM/TEXT"
)
unit: Mapped[str | None] = mapped_column(String(16), comment="展示单位:‰/%/元/天,无单位为空")
dimension_type: Mapped[str] = mapped_column(
String(32),
nullable=False,
server_default="NONE",
comment="维度类型:NONE/PRODUCT_CATEGORY/BUSINESS_ROLE",
)
options_text: Mapped[str | None] = mapped_column(
String(255), comment="枚举选项(竖线分隔),仅 ENUM 使用"
)
default_value: Mapped[str | None] = mapped_column(
String(64), comment="系统默认值(Fraction 可解析字符串)"
)
value_min: Mapped[str | None] = mapped_column(String(64), comment="取值下限(含),校验用")
value_max: Mapped[str | None] = mapped_column(String(64), comment="取值上限(含),校验用")
description: Mapped[str | None] = mapped_column(String(255), comment="口径说明(配置页展示)")
sort_order: Mapped[int] = mapped_column(
Integer, nullable=False, server_default="0", comment="显示排序"
)
status: Mapped[int] = mapped_column(
TINYINT_TYPE, nullable=False, server_default="1", comment="状态:1启用 0停用"
)
class ParamChangeBatch(Base):
"""参数变更批次表(append-only)。
一次提交 = 一个批次;版本号(如 P20261012-01)供对比与追溯引用。
未生效批次可整批撤回(删批次与条目);已生效条目禁改禁删。
"""
__tablename__ = "param_change_batches"
__table_args__ = mysql_table_args("参数变更批次表")
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
version_no: Mapped[str] = mapped_column(
String(32), nullable=False, unique=True, comment="版本号,如 P20261012-01"
)
effective_date: Mapped[date] = mapped_column(
Date, nullable=False, comment="生效日期(业务日期口径)"
)
change_type: Mapped[int] = mapped_column(
TINYINT_TYPE, nullable=False, comment="生效方式:1立即生效 2指定日期生效"
)
remark: Mapped[str | None] = mapped_column(String(255), comment="变更说明")
operator_id: Mapped[int | None] = mapped_column(
BIGINT_UNSIGNED,
ForeignKey("users.id", ondelete="SET NULL"),
comment="操作人ID(账号删除后置空)",
)
operator_name: Mapped[str] = mapped_column(
String(64), nullable=False, comment="操作人用户名(冗余固化)"
)
item_count: Mapped[int] = mapped_column(
Integer, nullable=False, server_default="0", comment="变更参数项数"
)
create_time: Mapped[datetime] = mapped_column(
DateTime, nullable=False, server_default=text("CURRENT_TIMESTAMP"), comment="创建时间"
)
class ParamValue(Base):
"""参数版本条目表(append-only)。
解析规则:按 (param_id, dimension_value) 取 effective_date <= 业务日期 的
ORDER BY effective_date DESC, id DESC 首条(同日多次变更取最新)。
dimension_value 用空串而非 NULL:MySQL 组合索引对 NULL 不去重,空串语义更稳。
"""
__tablename__ = "param_values"
__table_args__ = mysql_table_args(
"参数版本条目表(append-only,按生效日期时点化取值)",
Index(
"idx_param_values_param_id_dimension_value_effective_date",
"param_id",
"dimension_value",
"effective_date",
),
Index("idx_param_values_effective_date", "effective_date"),
Index("idx_param_values_batch_id", "batch_id"),
)
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
param_id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED,
ForeignKey("param_definitions.id", ondelete="RESTRICT"),
nullable=False,
comment="参数定义ID(param_definitions.id)",
)
dimension_value: Mapped[str] = mapped_column(
String(32),
nullable=False,
server_default=text("''"),
comment="维度取值:NONE维度为空串;产品类别/岗位编码为具体值",
)
effective_date: Mapped[date] = mapped_column(
Date, nullable=False, comment="生效日期(按业务日期时点化取值)"
)
value_text: Mapped[str] = mapped_column(
String(64), nullable=False, comment="参数值(Fraction 可解析字符串/枚举码/开关)"
)
old_value_text: Mapped[str | None] = mapped_column(String(64), comment="变更前值(留痕)")
batch_id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED,
ForeignKey("param_change_batches.id", ondelete="RESTRICT"),
nullable=False,
comment="变更批次ID(param_change_batches.id)",
)
create_time: Mapped[datetime] = mapped_column(
DateTime, nullable=False, server_default=text("CURRENT_TIMESTAMP"), comment="创建时间"
)