|
|
import re
|
|
|
|
|
|
from app.common.constant import GenConstant
|
|
|
from app.plugin.module_generator.gencode.schema import (
|
|
|
GenTableColumnSchema,
|
|
|
GenTableOutSchema,
|
|
|
GenTableSchema,
|
|
|
)
|
|
|
from app.utils.string_util import StringUtil
|
|
|
|
|
|
|
|
|
class GenUtils:
|
|
|
"""代码生成器工具类"""
|
|
|
|
|
|
@classmethod
|
|
|
def init_table(cls, gen_table: GenTableSchema) -> None:
|
|
|
"""
|
|
|
初始化表信息
|
|
|
|
|
|
参数:
|
|
|
- gen_table (GenTableSchema): 业务表对象。
|
|
|
|
|
|
返回:
|
|
|
- None
|
|
|
"""
|
|
|
gen_table.class_name = cls.convert_class_name(gen_table.table_name or "")
|
|
|
# 导入时给出“可用默认值”，减少用户点开后看到空表单：
|
|
|
# - module_name：从表名推导（去掉 gen_/tb_ 前缀）
|
|
|
# - package_name：默认 module_{module_name}（仍可在前端改）
|
|
|
if gen_table.business_name is None:
|
|
|
gen_table.business_name = gen_table.table_name
|
|
|
if gen_table.module_name is None or not str(gen_table.module_name).strip():
|
|
|
tn = (gen_table.table_name or "").strip().lower()
|
|
|
if tn.startswith("gen_"):
|
|
|
tn = tn[4:]
|
|
|
elif tn.startswith("tb_"):
|
|
|
tn = tn[3:]
|
|
|
tn = re.sub(r"[^a-z0-9_]+", "_", tn)
|
|
|
tn = re.sub(r"_+", "_", tn).strip("_") or "module"
|
|
|
gen_table.module_name = tn
|
|
|
|
|
|
if gen_table.package_name is None or not str(gen_table.package_name).strip():
|
|
|
mn = (gen_table.module_name or "").strip()
|
|
|
if mn:
|
|
|
gen_table.package_name = mn if mn.startswith("module_") else f"module_{mn}"
|
|
|
|
|
|
fn = re.sub(r"(?:表|测试)", "", gen_table.table_comment or "")
|
|
|
fn = (fn or "").strip()
|
|
|
if not fn:
|
|
|
# 表注释为空时：用表名兜底，至少不为空
|
|
|
fn = (gen_table.table_name or "").strip()
|
|
|
gen_table.function_name = fn
|
|
|
|
|
|
@classmethod
|
|
|
def init_column_field(cls, column: GenTableColumnSchema, table: GenTableOutSchema) -> None:
|
|
|
"""
|
|
|
初始化列属性字段
|
|
|
|
|
|
参数:
|
|
|
- column (GenTableColumnSchema): 业务表字段对象。
|
|
|
- table (GenTableOutSchema): 业务表对象。
|
|
|
|
|
|
返回:
|
|
|
- None
|
|
|
"""
|
|
|
data_type = cls.get_db_type(column.column_type or "")
|
|
|
column_name = column.column_name or ""
|
|
|
if table.id is None:
|
|
|
raise ValueError("业务表ID不能为空")
|
|
|
column.table_id = table.id
|
|
|
column.python_field = cls.to_camel_case(column_name)
|
|
|
|
|
|
# 特殊处理几何类型，根据数据库类型选择不同的映射
|
|
|
from app.config.setting import settings
|
|
|
|
|
|
if data_type in [
|
|
|
"point",
|
|
|
"line",
|
|
|
"linestring",
|
|
|
"polygon",
|
|
|
"multipoint",
|
|
|
"multilinestring",
|
|
|
"multipolygon",
|
|
|
"geometrycollection",
|
|
|
"geometry",
|
|
|
]:
|
|
|
if settings.DATABASE_TYPE == "mysql":
|
|
|
column.python_type = "bytes"
|
|
|
elif settings.DATABASE_TYPE == "postgres":
|
|
|
column.python_type = "list"
|
|
|
else:
|
|
|
# 只有当python_type为None时才设置默认类型
|
|
|
column.python_type = StringUtil.get_mapping_value_by_key_ignore_case(GenConstant.DB_TO_PYTHON, data_type)
|
|
|
|
|
|
if column.column_length is None:
|
|
|
column.column_length = ""
|
|
|
|
|
|
if column.column_default is None:
|
|
|
column.column_default = ""
|
|
|
|
|
|
if column.html_type is None:
|
|
|
# 先按“字段名语义”推断（优先级高于通用字符串规则）
|
|
|
lower_name = column_name.lower()
|
|
|
if lower_name.endswith("status"):
|
|
|
column.html_type = GenConstant.HTML_RADIO
|
|
|
elif lower_name.endswith("type") or lower_name.endswith("sex"):
|
|
|
column.html_type = GenConstant.HTML_SELECT
|
|
|
elif lower_name.endswith("image"):
|
|
|
column.html_type = GenConstant.HTML_IMAGE_UPLOAD
|
|
|
elif lower_name.endswith("file"):
|
|
|
column.html_type = GenConstant.HTML_FILE_UPLOAD
|
|
|
elif lower_name.endswith("content"):
|
|
|
column.html_type = GenConstant.HTML_EDITOR
|
|
|
# 再按“数据类型”推断
|
|
|
elif cls.arrays_contains(GenConstant.COLUMNTYPE_TIME, data_type):
|
|
|
column.html_type = GenConstant.HTML_DATETIME
|
|
|
elif cls.arrays_contains(GenConstant.COLUMNTYPE_NUMBER, data_type):
|
|
|
column.html_type = GenConstant.HTML_INPUT
|
|
|
elif cls.arrays_contains(GenConstant.COLUMNTYPE_STR, data_type) or cls.arrays_contains(GenConstant.COLUMNTYPE_TEXT, data_type):
|
|
|
# 字符串长度超过500设置为文本域
|
|
|
column_length = cls.get_column_length(column.column_type or "")
|
|
|
column.html_type = GenConstant.HTML_TEXTAREA if column_length >= 500 or cls.arrays_contains(GenConstant.COLUMNTYPE_TEXT, data_type) else GenConstant.HTML_INPUT
|
|
|
else:
|
|
|
column.html_type = GenConstant.HTML_INPUT
|
|
|
|
|
|
# 默认新增字段：非主键且不在“新增不展示”黑名单中
|
|
|
# 说明：schema 默认值可能为 True/False；仅当调用方未显式配置时才做推断
|
|
|
if column.is_insert is None:
|
|
|
column.is_insert = bool((not column.is_pk) and (not cls.arrays_contains(GenConstant.COLUMNNAME_NOT_ADD_SHOW, column_name)))
|
|
|
|
|
|
# 默认编辑字段：非主键且不在“不编辑”黑名单中
|
|
|
if column.is_edit is None:
|
|
|
column.is_edit = bool((not cls.arrays_contains(GenConstant.COLUMNNAME_NOT_EDIT, column_name)) and (not column.is_pk))
|
|
|
|
|
|
# 默认列表字段：非主键且不在“不列表显示”黑名单中
|
|
|
if column.is_list is None:
|
|
|
column.is_list = bool((not cls.arrays_contains(GenConstant.COLUMNNAME_NOT_LIST, column_name)) and (not column.is_pk))
|
|
|
|
|
|
# 默认查询字段：非主键且不在“不查询”黑名单中
|
|
|
if column.is_query is None:
|
|
|
column.is_query = bool((not cls.arrays_contains(GenConstant.COLUMNNAME_NOT_QUERY, column_name)) and (not column.is_pk))
|
|
|
|
|
|
# 查询类型：仅当开启查询且 query_type 未显式配置时推断
|
|
|
if column.is_query:
|
|
|
if column.query_type is None:
|
|
|
if column_name.lower().endswith("name") or data_type in ["varchar", "char", "text"]:
|
|
|
column.query_type = GenConstant.QUERY_LIKE
|
|
|
else:
|
|
|
column.query_type = GenConstant.QUERY_EQ
|
|
|
else:
|
|
|
column.query_type = None
|
|
|
|
|
|
# 主键强约束：无论默认推断/历史配置如何，主键列不应出现在新增/编辑/列表/查询
|
|
|
if bool(column.is_pk):
|
|
|
column.is_insert = False
|
|
|
column.is_edit = False
|
|
|
column.is_list = False
|
|
|
column.is_query = False
|
|
|
column.query_type = None
|
|
|
|
|
|
@classmethod
|
|
|
def arrays_contains(cls, arr: list, target_value: str) -> bool:
|
|
|
"""
|
|
|
检查目标值是否在数组中
|
|
|
|
|
|
注意：从根本上解决问题，现在确保传入的参数都是正确的类型：
|
|
|
- arr 是列表类型，且在GenConstant中定义
|
|
|
- target_value 不会是None
|
|
|
|
|
|
参数:
|
|
|
- arr: 数组类型
|
|
|
- target_value: 目标值
|
|
|
|
|
|
返回:
|
|
|
- bool: 如果目标值在数组中，返回True；否则返回False
|
|
|
"""
|
|
|
# 从根本上解决问题，不再需要复杂的防御性检查
|
|
|
# 因为现在我们确保传入的arr是GenConstant中定义的列表常量
|
|
|
# 并且target_value在调用前已经被处理过不会是None
|
|
|
|
|
|
# 移除 COLLATE 子句和 UNSIGNED 标记（不区分大小写）
|
|
|
target_str = str(target_value)
|
|
|
|
|
|
# 移除 COLLATE 子句
|
|
|
collate_pattern = re.compile(r"\s+COLLATE\s+", re.IGNORECASE)
|
|
|
if collate_pattern.search(target_str):
|
|
|
target_str = collate_pattern.split(target_str)[0].strip()
|
|
|
|
|
|
# 移除 UNSIGNED 标记
|
|
|
unsigned_pattern = re.compile(r"\s+UNSIGNED", re.IGNORECASE)
|
|
|
if unsigned_pattern.search(target_str):
|
|
|
target_str = unsigned_pattern.sub("", target_str).strip()
|
|
|
|
|
|
# 转换为小写进行比较
|
|
|
target_str = target_str.lower()
|
|
|
|
|
|
# 对于包含括号的类型（如TINYINT(1)），需要特殊处理
|
|
|
# 先获取基本类型名称（不含括号）用于比较
|
|
|
target_base_type = target_str.split("(")[0] if "(" in target_str else target_str
|
|
|
|
|
|
for item in arr:
|
|
|
item_str = str(item).lower()
|
|
|
item_base_type = item_str.split("(")[0] if "(" in item_str else item_str
|
|
|
if target_base_type == item_base_type:
|
|
|
return True
|
|
|
return False
|
|
|
|
|
|
@classmethod
|
|
|
def convert_class_name(cls, table_name: str) -> str:
|
|
|
"""
|
|
|
表名转换成 Python 类名
|
|
|
|
|
|
参数:
|
|
|
- table_name (str): 业务表名。
|
|
|
|
|
|
返回:
|
|
|
- str: Python 类名。
|
|
|
"""
|
|
|
return StringUtil.convert_to_camel_case(table_name)
|
|
|
|
|
|
@classmethod
|
|
|
def replace_first(cls, input_string: str, search_list: list[str]) -> str:
|
|
|
"""
|
|
|
批量替换前缀
|
|
|
|
|
|
参数:
|
|
|
- input_string (str): 需要被替换的字符串。
|
|
|
- search_list (list[str]): 可替换的字符串列表。
|
|
|
|
|
|
返回:
|
|
|
- str: 替换后的字符串。
|
|
|
"""
|
|
|
for search_string in search_list:
|
|
|
if input_string.startswith(search_string):
|
|
|
return input_string.replace(search_string, "", 1)
|
|
|
return input_string
|
|
|
|
|
|
@classmethod
|
|
|
def get_db_type(cls, column_type: str) -> str:
|
|
|
"""
|
|
|
获取数据库类型字段
|
|
|
|
|
|
参数:
|
|
|
- column_type (str): 字段类型。
|
|
|
|
|
|
返回:
|
|
|
- str: 数据库类型。
|
|
|
"""
|
|
|
# 移除 COLLATE 子句（处理带引号和不带引号的情况，不区分大小写）
|
|
|
collate_pattern = re.compile(r"\s+COLLATE\s+", re.IGNORECASE)
|
|
|
if collate_pattern.search(column_type):
|
|
|
column_type = collate_pattern.split(column_type)[0].strip()
|
|
|
|
|
|
# 移除 UNSIGNED 标记（不区分大小写）
|
|
|
unsigned_pattern = re.compile(r"\s+UNSIGNED", re.IGNORECASE)
|
|
|
if unsigned_pattern.search(column_type):
|
|
|
column_type = unsigned_pattern.sub("", column_type).strip()
|
|
|
|
|
|
# 特殊处理tinyint(1)，映射为boolean
|
|
|
if column_type.lower().startswith("tinyint(1)"):
|
|
|
return "boolean"
|
|
|
|
|
|
# 处理PostgreSQL数组类型（如 integer[], text[] 或 ARRAY[INTEGER]）
|
|
|
if "[]" in column_type or column_type.upper().startswith("ARRAY["):
|
|
|
return "array"
|
|
|
|
|
|
# 提取基本类型：
|
|
|
# - 去掉括号参数：varchar(64) -> varchar
|
|
|
# - 去掉空格后的修饰：timestamp without time zone -> timestamp
|
|
|
# - 统一小写
|
|
|
base = column_type.split("(", 1)[0].strip()
|
|
|
if not base:
|
|
|
return ""
|
|
|
base = base.split(None, 1)[0].strip()
|
|
|
return base.lower()
|
|
|
|
|
|
@classmethod
|
|
|
def get_column_length(cls, column_type: str) -> int:
|
|
|
"""
|
|
|
获取字段长度
|
|
|
|
|
|
参数:
|
|
|
- column_type (str): 字段类型，例如 'varchar(255)' 或 'decimal(10,2)'
|
|
|
|
|
|
返回:
|
|
|
- int: 字段长度（优先取第一个长度值，无法解析时返回0）。
|
|
|
"""
|
|
|
if not column_type:
|
|
|
return 0
|
|
|
if "(" not in column_type or ")" not in column_type:
|
|
|
return 0
|
|
|
|
|
|
# 形如 varchar(255) / decimal(10,2) / numeric(20, 0)
|
|
|
inner = column_type.split("(", 1)[1].split(")", 1)[0].strip()
|
|
|
if not inner:
|
|
|
return 0
|
|
|
|
|
|
first = inner.split(",", 1)[0].strip()
|
|
|
try:
|
|
|
return int(first)
|
|
|
except ValueError:
|
|
|
return 0
|
|
|
|
|
|
@classmethod
|
|
|
def split_column_type(cls, column_type: str) -> list[str]:
|
|
|
"""
|
|
|
拆分列类型
|
|
|
|
|
|
参数:
|
|
|
- column_type (str): 字段类型。
|
|
|
|
|
|
返回:
|
|
|
- list[str]: 拆分结果。
|
|
|
"""
|
|
|
if "(" in column_type and ")" in column_type:
|
|
|
return column_type.split("(")[1].split(")")[0].split(",")
|
|
|
return []
|
|
|
|
|
|
@classmethod
|
|
|
def to_camel_case(cls, text: str) -> str:
|
|
|
"""
|
|
|
将字符串转换为驼峰命名
|
|
|
|
|
|
参数:
|
|
|
- text (str): 需要转换的字符串
|
|
|
|
|
|
返回:
|
|
|
- str: 驼峰命名
|
|
|
"""
|
|
|
parts = text.split("_")
|
|
|
return parts[0] + "".join(word.capitalize() for word in parts[1:])
|