diff --git a/.gitignore b/.gitignore
index e405b20..dc13443 100644
--- a/.gitignore
+++ b/.gitignore
@@ -14,7 +14,7 @@ dist/
 downloads/
 eggs/
 .eggs/
-lib/
+#lib/
 lib64/
 parts/
 sdist/
diff --git a/lib/Sqlite3Helper.py b/lib/Sqlite3Helper.py
new file mode 100644
index 0000000..4d0cb66
--- /dev/null
+++ b/lib/Sqlite3Helper.py
@@ -0,0 +1,466 @@
+# coding: utf8
+from __future__ import annotations
+import sqlite3
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from enum import StrEnum
+from os import PathLike
+
+__version__ = "1.1.0"
+__version_info__ = (1, 1, 0)
+
+
+class DataType(StrEnum):
+    NULL = "NULL"
+    INTEGER = "INTEGER"
+    REAL = "REAL"
+    TEXT = "TEXT"
+    BLOB = "BLOB"
+
+
+class NullType(object):
+
+    def __str__(self):
+        return "NULL"
+
+
+class BlobType(object):
+
+    def __init__(self, data: bytes = b""):
+        self._data = data
+
+    def __str__(self):
+        return f"X'{self._data.hex()}'"
+
+
+def _get_type(data_type: DataType) -> type:
+    if data_type == DataType.NULL:
+        return NullType
+    if data_type == DataType.INTEGER:
+        return int
+    if data_type == DataType.REAL:
+        return float
+    if data_type == DataType.TEXT:
+        return str
+    if data_type == DataType.BLOB:
+        return BlobType
+    raise TypeError(f"Data type {data_type} is not supported")
+
+
+def _get_data_type(type_: type) -> DataType:
+    if type_ is NullType:
+        return DataType.NULL
+    if type_ is int:
+        return DataType.INTEGER
+    if type_ is float:
+        return DataType.REAL
+    if type_ is str:
+        return DataType.TEXT
+    if type_ is BlobType:
+        return DataType.BLOB
+    raise TypeError(f"Data type {type_} is not supported")
+
+
+def _to_string(value):
+    # 如果传入的类型不是 text 会直接返回原值
+    if type(value) is str:
+        if not (value.startswith("'") or value.endswith("'")):
+            value = f"'{value}'"
+    return str(value)
+
+
+@dataclass
+class Column(object):
+    name: str
+    data_type: DataType
+    primary_key: bool = False
+    nullable: bool = True
+    unique: bool = False
+    has_default: bool = False
+    default: NullType | int | float | str | BlobType = 0
+
+    def __str__(self):
+        head = f"{self.name} {self.data_type.name}"
+        if self.primary_key:
+            head = f"{head} PRIMARY KEY"
+        if not self.nullable:
+            head = f"{head} NOT NULL"
+        if self.unique:
+            head = f"{head} UNIQUE"
+        if self.has_default:
+            head = f"{head} DEFAULT {_to_string(self.default)}"
+        return head
+
+    __repr__ = __str__
+
+
+@dataclass
+class AbsHeadRow(ABC):
+    # 这里的几个其实都是 list[str]，但为了防止实例类中提示类型错误，就写成了 list
+    primary_keys: list = field(default_factory=list)
+    not_nulls: list = field(default_factory=list)
+    uniques: list = field(default_factory=list)
+    defaults: dict = field(default_factory=dict)
+
+    @abstractmethod
+    def __post_init__(self):
+        pass
+
+    def __getattr__(self, item):
+        # 此类声明的类变量自然都是不会被定义的，所以在 __post_init__ 中获取时就会跳转到这
+        # 此时需要的其实就是这个类变量名称本身，因此直接返回
+        if item in self.__annotations__:
+            return item
+        raise AttributeError
+
+    def to_columns(self) -> list[Column]:
+        columns: list[Column] = []
+
+        # self.__annotations__ 会返回实例对象中定义的类变量名称和类型的键值对
+        # 但不包括此抽象类中的
+        for column_name in self.__annotations__:
+            column_type = self.__annotations__[column_name]
+            data_type = _get_data_type(column_type)
+
+            # 实例对象的这个类变量设置了值，在此作为默认值
+            if column_name in self.defaults:
+                default = self.defaults[column_name]
+                if type(default) is not column_type:
+                    raise TypeError(f"Column {column_name} must be {column_type} but was {type(default)}")
+                has_default = True
+            else:
+                default = 0  # 此处设置的值无用，但是默认给它一个值
+                has_default = False
+
+            primary_key = column_name in self.primary_keys
+            nullable = column_name not in self.not_nulls
+            unique = column_name in self.uniques
+
+            columns.append(Column(
+                name=column_name,
+                data_type=data_type,
+                primary_key=primary_key,
+                nullable=nullable,
+                unique=unique,
+                has_default=has_default,
+                default=default,
+            ))
+        return columns
+
+    def to_column_dict(self) -> dict[str, Column]:
+        return {col.name: col for col in self.to_columns()}
+
+
+class Expression(object):
+
+    def __init__(self, expr: str):
+        self._expr = expr
+
+    def __str__(self):
+        return self._expr
+
+    def and_(self, expression: Expression):
+        return Expression(f"{self._expr} AND {expression}")
+
+    def or_(self, expression: Expression):
+        return Expression(f"{self._expr} OR {expression}")
+
+    def exists(self, not_: bool = False):
+        mark = "EXISTS"
+        if not_:
+            mark = "NOT EXISTS"
+        return Expression(f"{mark} ({self._expr})")
+
+
+class Operand(object):
+
+    def __init__(self, column: Column | str):
+        self._name = column.name if isinstance(column, Column) else column
+
+    def equal_to(self, value):
+        return Expression(f"{self._name} = {_to_string(value)}")
+
+    def not_equal_to(self, value):
+        return Expression(f"{self._name} =! {_to_string(value)}")
+
+    def less_than(self, value):
+        return Expression(f"{self._name} < {_to_string(value)}")
+
+    def greater_than(self, value):
+        return Expression(f"{self._name} > {_to_string(value)}")
+
+    def less_equal(self, value):
+        return Expression(f"{self._name} <= {_to_string(value)}")
+
+    def greater_equal(self, value):
+        return Expression(f"{self._name} >= {_to_string(value)}")
+
+    def between(self, minimum, maximum, not_: bool = False):
+        mark = "BETWEEN"
+        if not_:
+            mark = "NOT BETWEEN"
+        return Expression(f"{self._name} {mark} {_to_string(minimum)} AND {_to_string(maximum)}")
+
+    def in_(self, values: list | str, not_: bool = False):
+        if isinstance(values, list):
+            values = ", ".join([_to_string(value) for value in values])
+        mark = "IN"
+        if not_:
+            mark = "NOT IN"
+        return Expression(f"{self._name} {mark} ({values})")
+
+    def like(self, regx: str, escape: str = "", not_: bool = False):
+        head = "LIKE"
+        if not_:
+            head = "NOT LIKE"
+        body = f"{head} {_to_string(regx)}"
+        if len(escape) != 0:
+            body = f"{body} ESCAPE {_to_string(escape)}"
+        return Expression(f"{self._name} {body}")
+
+    def is_null(self, not_: bool = False):
+        mark = "IS NULL"
+        if not_:
+            mark = "IS NOT NULL"
+        return Expression(f"{self._name} {mark}")
+
+    def glob(self, regx: str):
+        return Expression(f"{self._name} GLOB {_to_string(regx)}")
+
+
+class SortOption(StrEnum):
+    NONE = ""
+    ASC = "ASC"
+    DESC = "DESC"
+
+
+class NullOption(StrEnum):
+    NONE = ""
+    NULLS_FIRST = "NULLS FIRST"
+    NULLS_LAST = "NULLS LAST"
+
+
+def order(column: Column | str | int,
+          sort_option: SortOption = SortOption.NONE,
+          null_option: NullOption = NullOption.NONE) -> str:
+    name = column.name if isinstance(column, Column) else str(column)
+    if sort_option != SortOption.NONE:
+        name = f"{name} {sort_option.value}"
+    if sqlite3.sqlite_version_info >= (3, 30, 0):
+        if null_option != NullOption.NONE:
+            name = f"{name} {null_option.value}"
+    return name
+
+
+class Sqlite3Worker(object):
+
+    def __init__(self, db_name: str | PathLike[str] = ":memory:"):
+        self._conn = sqlite3.connect(db_name)
+        self._cursor = self._conn.cursor()
+        self._is_closed = False
+
+    def __del__(self):
+        self.close()
+
+    def close(self):
+        if self._is_closed is False:
+            self._cursor.close()
+            self._conn.close()
+            self._is_closed = True
+
+    def commit(self):
+        self._conn.commit()
+
+    def create_table(self, table_name: str, columns: list[Column] | AbsHeadRow,
+                     if_not_exists: bool = False, schema_name: str = "", *, execute: bool = True) -> str:
+        if table_name.startswith("sqlite_"):
+            raise ValueError("Table name must not start with 'sqlite_')")
+
+        if isinstance(columns, AbsHeadRow):
+            columns = columns.to_columns()
+        columns_str = ", ".join([str(col) for col in columns])
+        head = "CREATE TABLE"
+        if if_not_exists:
+            head = f"{head} IF NOT EXISTS"
+        name = table_name
+        if len(schema_name) != 0:
+            name = f"{schema_name}.{name}"
+
+        statement = f"{head} {name} ({columns_str});"
+
+        if execute:
+            self._cursor.execute(statement)
+        return statement
+
+    def drop_table(self, table_name: str, if_exists: bool = False,
+                   schema_name: str = "", *, execute: bool = True) -> str:
+        head = "DROP TABLE"
+        if if_exists:
+            head = f"{head} IF EXISTS"
+        name = table_name
+        if len(schema_name) != 0:
+            name = f"{schema_name}.{name}"
+
+        statement = f"{head} {name};"
+
+        if execute:
+            self._cursor.execute(statement)
+        return statement
+
+    def rename_table(self, table_name: str, new_name: str, *, execute: bool = True) -> str:
+        head = "ALTER TABLE"
+        statement = f"{head} {table_name} RENAME TO {new_name};"
+        if execute:
+            self._cursor.execute(statement)
+        return statement
+
+    def add_column(self, table_name: str, column: Column, *, execute: bool = True) -> str:
+        if column.primary_key or column.unique:
+            raise ValueError("The new column cannot have primary key or unique")
+        if not column.nullable:
+            if not column.has_default:
+                raise ValueError("If the new column is not null, it must have default value")
+            if column.default is NullType:
+                raise ValueError("If the new column is not null, its default value must not be NULL")
+
+        head = "ALTER TABLE"
+        statement = f"{head} {table_name} ADD COLUMN {str(column)};"
+        if execute:
+            self._cursor.execute(statement)
+        return statement
+
+    def rename_column(self, table_name: str, column_name: str,
+                      new_name: str, *, execute: bool = True) -> str:
+        if sqlite3.sqlite_version_info < (3, 25, 0):
+            raise ValueError("SQLite under 3.25.0 does not support rename column")
+
+        head = "ALTER TABLE"
+        statement = f"{head} {table_name} RENAME COLUMN {column_name} TO {new_name};"
+        if execute:
+            self._cursor.execute(statement)
+        return statement
+
+    def show_tables(self) -> list[str]:
+        cond = Operand("type").equal_to("table").and_(Operand("name").like("sqlite_%", not_=True))
+        _, tables = self.select("sqlite_schema", ["name"], where=cond)
+        return [table[0] for table in tables]
+
+    @staticmethod
+    def _columns_to_string(columns: list[Column | str]) -> str:
+        columns_str_ls = []
+        for column in columns:
+            if isinstance(column, Column):
+                columns_str_ls.append(column.name)
+            elif isinstance(column, str):
+                columns_str_ls.append(column)
+            else:
+                raise ValueError(f"Column must be str or Column object, found {type(column)}")
+        return ", ".join(columns_str_ls)
+
+    def insert_into(self, table_name: str, columns: list[Column | str],
+                    values: list[list[str | int | float]],
+                    *, execute: bool = True, commit: bool = True) -> str:
+        col_count = len(columns)
+        columns_str = self._columns_to_string(columns)
+
+        values_str_ls = []
+        for value in values:
+            if len(value) != col_count:
+                raise ValueError(f"Length of values must be {col_count}")
+            for i in range(col_count):
+                column = columns[i]
+                if isinstance(column, Column):
+                    type_ = _get_type(column.data_type)
+                    # 支持将 int 隐式转为 float
+                    if type(value[i]) is int and type_ is float:
+                        continue
+                    if type(value[i]) is not type_:
+                        raise ValueError(f"The {i + 1}(th) type of value must be {type_},"
+                                         f" because the column type is {column.data_type}")
+            # 这里的 value 是一行数据，是一个多值列表
+            values_str_ls.append(f"({', '.join([_to_string(val) for val in value])})")
+
+        values_str = ", ".join(values_str_ls)
+
+        head = "INSERT INTO"
+        statement = f"{head} {table_name} ({columns_str}) VALUES {values_str};"
+        if execute:
+            self._cursor.execute(statement)
+        if commit:
+            self._conn.commit()
+        return statement
+
+    @staticmethod
+    def _join_where_order_limit(body: str,
+                                where: Expression, order_by: list[str] | str,
+                                limit: int, offset: int) -> str:
+        if where is not None:
+            body = f"{body} WHERE {where}"
+        if order_by is not None:
+            if not isinstance(order_by, list):
+                order_by = [order_by]
+            body = f"{body} ORDER BY {', '.join(order_by)}"
+        if limit is not None:
+            body = f"{body} LIMIT {limit}"
+            if offset is not None:
+                body = f"{body} OFFSET {offset}"
+        return body
+
+    def select(self, table_name: str, columns: list[Column | str], distinct: bool = False,
+               where: Expression = None,
+               order_by: list[str] | str = None,
+               limit: int = None, offset: int = None,
+               *, execute: bool = True) -> tuple[str, list[tuple]]:
+        if len(columns) == 0:
+            columns_str = "*"
+        else:
+            columns_str = self._columns_to_string(columns)
+
+        head = "SELECT"
+        if distinct:
+            head = f"{head} DISTINCT"
+        body = f"{head} {columns_str} FROM {table_name}"
+        body = self._join_where_order_limit(body, where, order_by, limit, offset)
+
+        statement = f"{body};"
+        if execute:
+            self._cursor.execute(statement)
+            rows = self._cursor.fetchall()
+            return statement, rows
+        else:
+            return statement, []
+
+    def delete_from(self, table_name: str, where: Expression = None,
+                    *, execute: bool = True, commit: bool = True) -> str:
+        head = "DELETE FROM"
+        body = f"{head} {table_name}"
+        if where is not None:
+            body = f"{body} WHERE {where}"
+
+        statement = f"{body};"
+        if execute:
+            self._cursor.execute(statement)
+        if commit:
+            self._conn.commit()
+        return statement
+
+    def update(self, table_name: str, new_values: list[tuple[Column, NullType | int | float | str | BlobType]],
+               where: Expression = None,
+               *, execute: bool = True, commit: bool = True) -> str:
+        new_values_str_ls = []
+        for column, value in new_values:
+            if _get_data_type(type(value)) != column.data_type:
+                raise ValueError(f"Type of {column.name} must be {column.data_type}, found {type(value)}")
+            new_values_str_ls.append(f"{column.name} = {_to_string(value)}")
+
+        head = f"UPDATE {table_name}"
+        body = f"{head} SET {', '.join(new_values_str_ls)}"
+        if where is not None:
+            body = f"{body} WHERE {where}"
+
+        statement = f"{body};"
+        if execute:
+            self._cursor.execute(statement)
+        if commit:
+            self._conn.commit()
+        return statement