chore: 批量整理代码格式与优化细节

- 修复多处代码缩进、换行不规范问题
- 调整部分配置注释与字符串格式对齐
- 优化导入语句与多行表达式的排版
- 统一枚举、模型字段的注释风格
- 调整部分校验逻辑与提示文案
- 重构部分长函数参数与查询语句格式
This commit is contained in:
zhangtao
2026-06-02 08:19:10 +08:00
parent c0733d9861
commit 290728d9d2
98 changed files with 4884 additions and 1764 deletions
@@ -18,9 +18,7 @@ class DictTypeModel(ModelMixin, TenantMixin):
__platform_data_shared__: bool = True
dict_name: Mapped[str] = mapped_column(String(64), nullable=False, comment="字典名称")
dict_type: Mapped[str] = mapped_column(
String(255), nullable=False, comment="字典类型"
)
dict_type: Mapped[str] = mapped_column(String(255), nullable=False, comment="字典类型")
# 关系定义
dict_data_list: Mapped[list["DictDataModel"]] = relationship(
@@ -39,7 +37,10 @@ class DictDataModel(ModelMixin, TenantMixin):
"""
__tablename__: str = "sys_dict_data"
__table_args__: dict[str, str] = {"comment": "字典数据表"}
__table_args__ = (
UniqueConstraint("tenant_id", "dict_type_id", "dict_value", name="uq_dict_data_value"),
{"comment": "字典数据表"},
)
__loader_options__: list[str] = []
__platform_data_shared__: bool = True
+25 -11
View File
@@ -20,10 +20,17 @@ class DictTypeCreateSchema(BaseModel):
"""
dict_name: str = Field(..., min_length=1, max_length=64, description="字典名称")
dict_type: str = Field(..., min_length=1, max_length=64, description="字典类型")
status: str = Field(default="0", description="状态0正常 1停用")
dict_type: str = Field(..., min_length=1, max_length=255, description="字典类型编码")
status: str = Field(default="0", max_length=1, description="状态(0:正常 1:停用)")
description: str | None = Field(default=None, max_length=255, description="描述")
@field_validator("status")
@classmethod
def validate_status(cls, value: str):
if value not in {"0", "1"}:
raise ValueError("状态仅支持 0(正常) 或 1(停用)")
return value
@field_validator("dict_name")
def validate_dict_name(cls, value: str):
"""
@@ -114,19 +121,26 @@ class DictDataCreateSchema(BaseModel):
字典数据表对应pydantic模型
"""
dict_sort: int = Field(..., ge=1, le=999, description="字典排序")
dict_label: str = Field(..., max_length=100, description="字典标签")
dict_value: str = Field(..., max_length=100, description="字典键值")
dict_type: str = Field(..., max_length=100, description="字典类型")
dict_type_id: int = Field(..., description="字典类型ID")
dict_sort: int = Field(..., ge=1, le=999, description="排序")
dict_label: str = Field(..., min_length=1, max_length=255, description="字典标签")
dict_value: str = Field(..., min_length=1, max_length=255, description="字典键值")
dict_type: str = Field(..., max_length=255, description="字典类型")
dict_type_id: int = Field(..., gt=0, description="字典类型ID")
css_class: str | None = Field(
default=None, max_length=100, description="样式属性(其他样式扩展)"
default=None, max_length=255, description="样式属性"
)
list_class: str | None = Field(default=None, description="表格回显样式")
is_default: bool = Field(default=False, description="是否默认True是 False否)")
status: str = Field(default="0", description="状态0正常 1停用")
list_class: str | None = Field(default=None, max_length=255, description="表格回显样式")
is_default: bool = Field(default=False, description="是否默认")
status: str = Field(default="0", max_length=1, description="状态(0:正常 1:停用)")
description: str | None = Field(default=None, max_length=255, description="描述")
@field_validator("status")
@classmethod
def validate_status(cls, value: str):
if value not in {"0", "1"}:
raise ValueError("状态仅支持 0(正常) 或 1(停用)")
return value
@model_validator(mode="after")
def validate_after(self):
"""
@@ -197,7 +197,9 @@ class DictTypeService:
search={"dict_type": data.dict_type}
)
dict_data = [
DictDataOutSchema.model_validate(row).model_dump(mode="json") for row in dict_data_list if row
DictDataOutSchema.model_validate(row).model_dump(mode="json")
for row in dict_data_list
if row
]
value = json.dumps(dict_data, ensure_ascii=False)
@@ -238,7 +240,9 @@ class DictTypeService:
# 如果有字典数据,不能删除
raise CustomException(msg="删除失败,该数据字典类型下存在字典数据")
# 删除Redis缓存
redis_key = f"{RedisInitKeyConfig.SYSTEM_DICT.key}:{auth.user.tenant_id}:{exist_obj.dict_type}"
redis_key = (
f"{RedisInitKeyConfig.SYSTEM_DICT.key}:{auth.user.tenant_id}:{exist_obj.dict_type}"
)
try:
await RedisCURD(redis).delete(redis_key)
log.info(f"删除字典类型成功: {id}")
@@ -404,7 +408,9 @@ class DictDataService:
for row in dict_data_list
if row
]
redis_key = f"{RedisInitKeyConfig.SYSTEM_DICT.key}:{tenant_id}:{dict_type}"
redis_key = (
f"{RedisInitKeyConfig.SYSTEM_DICT.key}:{tenant_id}:{dict_type}"
)
value = json.dumps(dict_data, ensure_ascii=False)
await RedisCURD(redis).set(
key=redis_key,
@@ -419,7 +425,9 @@ class DictDataService:
raise CustomException(msg=f"字典数据初始化失败: {e!s}")
@classmethod
async def get_init_dict_service(cls, redis: Redis, dict_type: str, tenant_id: int = 1) -> list[dict]:
async def get_init_dict_service(
cls, redis: Redis, dict_type: str, tenant_id: int = 1
) -> list[dict]:
"""
从缓存获取字典数据列表信息
@@ -500,7 +508,9 @@ class DictDataService:
search={"dict_type": data.dict_type}
)
dict_data = [
DictDataOutSchema.model_validate(row).model_dump(mode="json") for row in dict_data_list if row
DictDataOutSchema.model_validate(row).model_dump(mode="json")
for row in dict_data_list
if row
]
value = json.dumps(dict_data, ensure_ascii=False)
@@ -591,7 +601,9 @@ class DictDataService:
search={"dict_type": data.dict_type}
)
dict_data = [
DictDataOutSchema.model_validate(row).model_dump(mode="json") for row in dict_data_list if row
DictDataOutSchema.model_validate(row).model_dump(mode="json")
for row in dict_data_list
if row
]
value = json.dumps(dict_data, ensure_ascii=False)
@@ -646,7 +658,9 @@ class DictDataService:
# 清除缓存
for dict_type in dict_types_to_clear:
try:
redis_key = f"{RedisInitKeyConfig.SYSTEM_DICT.key}:{auth.user.tenant_id}:{dict_type}"
redis_key = (
f"{RedisInitKeyConfig.SYSTEM_DICT.key}:{auth.user.tenant_id}:{dict_type}"
)
await RedisCURD(redis).delete(redis_key)
log.info(f"清除字典缓存成功: {dict_type}")
except Exception as e: