Gmail/account.py

200 lines
7.0 KiB
Python
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2024-11-23 14:27:50 +00:00
import sqlite3
import pandas as pd
from contextlib import contextmanager
from dataclasses import dataclass
from typing import List, Optional
@dataclass
class AccountData:
email: str # 邮箱
original_password: str # 原密码
original_aux_email: str # 原辅助邮箱
new_password: str # 新密码
new_aux_email: str # 新辅助邮箱
change_status: str # 是否更改完成
class AccountManagerSQLite:
def __init__(self, db_path="accounts.db"):
self.db_path = db_path
self._initialize_db()
def _initialize_db(self):
"""初始化数据库结构"""
with self._get_connection() as conn:
conn.execute("""
CREATE TABLE IF NOT EXISTS accounts (
email TEXT PRIMARY KEY,
original_password TEXT,
original_aux_email TEXT,
new_password TEXT,
new_aux_email TEXT,
change_status TEXT
)
""")
@contextmanager
def _get_connection(self):
"""获取 SQLite 数据库连接"""
conn = sqlite3.connect(self.db_path)
try:
yield conn
finally:
conn.close()
def clear(self):
"""清空数据库中的所有数据"""
with self._get_connection() as conn:
try:
conn.execute("DELETE FROM accounts")
conn.commit()
print("数据库已清空。")
except sqlite3.Error as e:
conn.rollback()
print(f"清空数据库失败:{e}")
raise
def import_data(self, account_list: List[AccountData]):
"""批量导入数据"""
with self._get_connection() as conn:
try:
conn.executemany("""
INSERT OR REPLACE INTO accounts (
email, original_password, original_aux_email,
new_password, new_aux_email, change_status
) VALUES (?, ?, ?, ?, ?, ?)
""", [
(
account.email, account.original_password, account.original_aux_email,
account.new_password, account.new_aux_email, account.change_status
) for account in account_list
])
conn.commit()
except sqlite3.Error as e:
conn.rollback()
print(f"Error importing data: {e}")
raise
def export_data(self) -> List[AccountData]:
"""导出所有数据"""
with self._get_connection() as conn:
cursor = conn.execute("SELECT * FROM accounts")
rows = cursor.fetchall()
return [AccountData(*row) for row in rows]
def query(self, **kwargs) -> List[AccountData]:
"""查询数据"""
query = "SELECT * FROM accounts WHERE " + " AND ".join([f"{key} = ?" for key in kwargs])
values = tuple(kwargs.values())
with self._get_connection() as conn:
cursor = conn.execute(query, values)
rows = cursor.fetchall()
return [AccountData(*row) for row in rows]
def update_record(self, email: str, **kwargs):
"""
更新记录的指定字段
:param email: 要更新的记录的邮箱
:param kwargs: 要更新的字段和值键为字段名值为更新的值
"""
if not kwargs:
raise ValueError("没有指定任何更新的字段")
# 动态生成 SQL 的 SET 子句
set_clause = ", ".join([f"{key} = ?" for key in kwargs.keys()])
values = list(kwargs.values())
values.append(email) # 将 email 添加到参数列表的最后
query = f"""
UPDATE accounts
SET {set_clause}
WHERE email = ?
"""
with self._get_connection() as conn:
try:
conn.execute(query, values)
conn.commit()
print(f"成功更新记录: {email}")
except sqlite3.Error as e:
conn.rollback()
print(f"更新记录失败:{e}")
raise
def delete_account(self, email: str):
"""删除某个账户"""
with self._get_connection() as conn:
try:
conn.execute("DELETE FROM accounts WHERE email = ?", (email,))
conn.commit()
except sqlite3.Error as e:
conn.rollback()
print(f"Error deleting account: {e}")
raise
def import_from_excel(self, excel_path: str, clear_old: bool = False):
"""
Excel 文件导入数据
:param excel_path: Excel 文件路径
:param clear_old: 是否清空旧数据
"""
try:
# 如果 clear_old 为 True先清空数据库
if clear_old:
self.clear()
# 读取 Excel 文件的第一个工作簿
df = pd.read_excel(excel_path, sheet_name=0)
# 校验表格格式
required_columns = ["邮箱", "原密码", "原辅助邮箱", "新密码", "新辅助邮箱", "是否更改完成"]
if not all(col in df.columns for col in required_columns):
raise ValueError(f"表格缺少必要的列:{required_columns}")
# 将数据转换为 AccountData 对象
account_list = [
AccountData(
email=row["邮箱"],
original_password=row["原密码"],
original_aux_email=row["原辅助邮箱"],
new_password=row["新密码"],
new_aux_email=row["新辅助邮箱"],
change_status=row["是否更改完成"]
)
for _, row in df.iterrows()
]
# 批量导入数据到数据库
self.import_data(account_list)
print(f"成功导入 {len(account_list)} 条数据!")
except Exception as e:
print(f"导入失败:{e}")
raise
def export_to_excel(self, excel_path: str):
"""
导出数据到 Excel 文件
:param excel_path: Excel 文件路径
"""
try:
# 从数据库中获取所有数据
accounts = self.export_data()
# 转换为 DataFrame
df = pd.DataFrame([{
"邮箱": account.email,
"原密码": account.original_password,
"原辅助邮箱": account.original_aux_email,
"新密码": account.new_password,
"新辅助邮箱": account.new_aux_email,
"是否更改完成": account.change_status
} for account in accounts])
# 写入 Excel 文件
df.to_excel(excel_path, index=False, sheet_name="Accounts")
print(f"成功导出数据到 {excel_path}")
except Exception as e:
print(f"导出失败:{e}")
raise