init: 初始化 dpb 桃育种系统代码库

前后端 + 后端 FastAPI 全量源码、部署脚本与文档。
2026-08-06 00:17:49 +08:00
commit b95053c52c
1469 changed files with 322298 additions and 0 deletions
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+import re
+
+from pydantic import (
+    BaseModel,
+    ConfigDict,
+    Field,
+    field_validator,
+    model_validator,
+)
+
+from app.core.base_schema import BaseQueryParam, BaseSchema
+
+
+class DictTypeCreateSchema(BaseModel):
+    """字典类型表对应pydantic模型
+    """
+
+    dict_name: str = Field(..., min_length=1, max_length=64, description="字典名称")
+    dict_type: str = Field(..., min_length=1, max_length=255, description="字典类型编码")
+    status: int = Field(default=0, ge=0, le=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: int):
+        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")
+    @classmethod
+    def validate_dict_name(cls, value: str):
+        """校验字典名称为非空字符串。
+
+        参数:
+        - value (str): 字典名称。
+
+        返回:
+        - str: 去首尾空格后的字典名称。
+
+        异常:
+        - ValueError: 字典名称为空时抛出。
+        """
+        if not value or value.strip() == "":
+            raise ValueError("字典名称不能为空")
+        return value.strip()
+
+    @field_validator("dict_type")
+    @classmethod
+    def validate_dict_type(cls, value: str):
+        """校验字典类型：小写字母开头，仅包含小写字母/数字/下划线。
+
+        参数:
+        - value (str): 字典类型。
+
+        返回:
+        - str: 去首尾空格后的字典类型。
+
+        异常:
+        - ValueError: 字典类型为空或不满足格式要求时抛出。
+        """
+        if not value or value.strip() == "":
+            raise ValueError("字典类型不能为空")
+        regexp = r"^[a-z][a-z0-9_]*$"
+        if not re.match(regexp, value):
+            raise ValueError("字典类型必须以字母开头，且只能为（小写字母，数字，下滑线）")
+        return value.strip()
+
+
+class DictTypeUpdateSchema(DictTypeCreateSchema):
+    """字典类型更新模型"""
+
+
+class DictTypeOutSchema(DictTypeCreateSchema, BaseSchema):
+    """字典类型响应模型"""
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class DictTypeQueryParam(BaseQueryParam):
+    """字典类型查询参数"""
+
+    dict_name: str | None = Field(default=None, description="字典名称", max_length=100, json_schema_extra={"q": "like"})
+    dict_type: str | None = Field(default=None, description="字典类型", max_length=100, json_schema_extra={"q": "eq"})
+    status: int | None = Field(default=None, ge=0, le=1, description="状态(0:启动 1:停用)", json_schema_extra={"q": "eq"})
+
+
+class DictDataCreateSchema(BaseModel):
+    """字典数据表对应pydantic模型
+    """
+
+    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=255, description="样式属性")
+    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: int = Field(default=0, ge=0, le=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: int) -> int:
+        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):
+        """校验并规范化字典数据字段（标签/键值/类型/类型ID）。
+
+        返回:
+        - DictDataCreateSchema: 校验与去空格后的同一实例。
+
+        异常:
+        - ValueError: 必填字段为空或类型ID非法时抛出。
+        """
+        if not self.dict_label or not self.dict_label.strip():
+            raise ValueError("字典标签不能为空")
+        if not self.dict_value or not self.dict_value.strip():
+            raise ValueError("字典键值不能为空")
+        if not self.dict_type or not self.dict_type.strip():
+            raise ValueError("字典类型不能为空")
+        if not hasattr(self, "dict_type_id") or self.dict_type_id <= 0:
+            raise ValueError("字典类型ID不能为空且必须大于0")
+
+        # 确保字符串字段被正确处理
+        self.dict_label = self.dict_label.strip()
+        self.dict_value = self.dict_value.strip()
+        self.dict_type = self.dict_type.strip()
+
+        return self
+
+
+class DictDataUpdateSchema(DictDataCreateSchema):
+    """字典数据更新模型"""
+
+
+class DictDataOutSchema(DictDataCreateSchema, BaseSchema):
+    """字典数据响应模型"""
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class DictDataQueryParam(BaseQueryParam):
+    """字典数据查询参数"""
+
+    dict_label: str | None = Field(default=None, description="字典标签", max_length=255, json_schema_extra={"q": "like"})
+    dict_type: str | None = Field(default=None, description="字典类型", max_length=255, json_schema_extra={"q": "eq"})
+    dict_type_id: int | None = Field(default=None, description="字典类型ID", json_schema_extra={"q": "eq"})
+    status: int | None = Field(default=None, ge=0, le=1, description="状态(0:启动 1:停用)", json_schema_extra={"q": "eq"})