refactor(p1-01c): 整併 utils/security 與 utils/validators 重複實作
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發現 utils/validators.py 已存在且完整重複 utils/security.py 的 9 個函數。 不收拾的話會繼續腐爛 — 立刻整併為單一權威來源。 變更： - utils/security.py 增加 safe_read_sql（取自 validators.py 較完整版本，含 limit + params） - utils/security.py ALLOWED_TABLES 取兩份聯集（補上 monthly_summary_analysis, realtime_sales_daily），避免破壞既有呼叫者 - utils/validators.py 改為純 re-export shim（保 from utils.validators import 不破） - app.py 移除原 safe_read_sql 重複定義（35 行），改 import utils.security routes/import_routes.py 不變（它 from utils.validators 走得到 re-export，等下輪統一）。 行數變化: app.py 7,187 → 7,151 (-36)
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ooo
@@ -1,12 +1,15 @@
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"""安全相關工具：SQL injection 防護、路徑遍歷防護、檔案上傳驗證。
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從 app.py 抽出，純驗證邏輯，無 Flask 依賴。
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從 app.py + utils/validators.py 整併的單一權威來源。純驗證邏輯，無 Flask 依賴。
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舊的 utils/validators.py 已 deprecate，僅保留 re-export 不破壞既有 import。
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"""
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import os
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import re
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import unicodedata
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from pathlib import Path
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import pandas as pd
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from utils.logger_manager import SystemLogger
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_log = SystemLogger("Security").get_logger()
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@@ -16,9 +19,12 @@ _log = SystemLogger("Security").get_logger()
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# SQL Injection 防護
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# ────────────────────────────────────────────────────────────────────────
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# 整合 app.py 與 utils/validators.py 的兩份 ALLOWED_TABLES（取聯集，避免破壞既有呼叫者）
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ALLOWED_TABLES = {
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'realtime_sales_monthly',
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'realtime_sales_daily',
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'daily_sales_snapshot',
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'monthly_summary_analysis',
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'products',
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'price_records',
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'promo_products',
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@@ -62,6 +68,40 @@ def validate_column_names(column_names):
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return validated
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def safe_read_sql(table_name, columns=None, engine=None, where_clause=None, limit=None, params=None):
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"""安全的 SQL 查詢函數，防止 SQL Injection。
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Args:
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table_name: 資料表名稱（必驗證白名單）
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columns: 欄位列表，None 表示 *
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engine: SQLAlchemy engine
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where_clause: WHERE 子句（呼叫端負責安全）
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limit: 限制筆數（自動轉 int）
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params: 參數化查詢的參數字典
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"""
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from sqlalchemy import text
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table_name = validate_table_name(table_name)
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if columns:
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columns = validate_column_names(columns)
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col_str = ', '.join([f'"{col}"' for col in columns])
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else:
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col_str = '*'
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try:
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query = f'SELECT {col_str} FROM "{table_name}"'
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if where_clause:
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query += f' WHERE {where_clause}'
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if limit:
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query += f' LIMIT {int(limit)}'
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return pd.read_sql(text(query), engine, params=params)
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except Exception as e:
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_log.error(f"[Security] SQL 查詢失敗: {e}")
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raise
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# ────────────────────────────────────────────────────────────────────────
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# 路徑遍歷防護
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# ────────────────────────────────────────────────────────────────────────
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@@ -1,253 +1,19 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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驗證函數模組
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提供安全驗證、路徑防護、檔案上傳驗證等功能
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"""DEPRECATED — 完整實作已搬至 utils/security.py。
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此檔案僅保留為 backward-compat re-export，避免破壞既有 import。
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新程式碼請直接 `from utils.security import ...`。
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"""
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import re
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import os
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import unicodedata
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from pathlib import Path
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import pandas as pd
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from services.logger_manager import SystemLogger
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sys_log = SystemLogger("Validators").get_logger()
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# ==========================================
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# SQL Injection 防護
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# ==========================================
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# 允許的資料表白名單
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ALLOWED_TABLES = {
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'products', 'price_records', 'promo_products',
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'monthly_summary_analysis', 'realtime_sales_monthly',
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'realtime_sales_daily', 'daily_sales_snapshot',
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'festival_products'
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}
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def validate_table_name(table_name):
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"""
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驗證資料表名稱，防止 SQL Injection
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Args:
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table_name: 要驗證的資料表名稱
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Returns:
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str: 驗證通過的表名
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Raises:
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ValueError: 表名不在白名單中
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"""
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table_name = str(table_name).strip()
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if not table_name:
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raise ValueError("表名不能為空")
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if not re.match(r'^[a-zA-Z0-9_]+$', table_name):
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raise ValueError(f"表名包含非法字符: {table_name}")
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if table_name not in ALLOWED_TABLES:
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sys_log.warning(f"[Security] 表名不在白名單中: {table_name}")
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sql_keywords = ['SELECT', 'INSERT', 'UPDATE', 'DELETE', 'DROP', 'CREATE', 'ALTER', 'UNION', 'WHERE', 'FROM']
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if any(keyword in table_name.upper() for keyword in sql_keywords):
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raise ValueError(f"表名包含 SQL 關鍵字: {table_name}")
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return table_name
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def validate_column_names(column_names):
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"""
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驗證欄位名稱列表，防止 SQL Injection
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Args:
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column_names: 欄位名稱列表
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Returns:
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list: 驗證通過的欄位名稱列表
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Raises:
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ValueError: 欄位名稱包含非法字符
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"""
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if isinstance(column_names, str):
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column_names = [column_names]
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validated = []
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for col in column_names:
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col = str(col).strip()
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if not re.match(r'^[\w\u4e00-\u9fff]+$', col):
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raise ValueError(f"欄位名稱包含非法字符: {col}")
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validated.append(col)
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return validated
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def safe_read_sql(table_name, columns=None, engine=None, where_clause=None, limit=None, params=None):
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"""
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安全的 SQL 查詢函數，防止 SQL Injection
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Args:
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table_name: 資料表名稱
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columns: 欄位列表，None 表示 *
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engine: SQLAlchemy engine
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where_clause: WHERE 子句
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limit: 限制筆數
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params: 參數化查詢的參數字典
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Returns:
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DataFrame: 查詢結果
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"""
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from sqlalchemy import text
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table_name = validate_table_name(table_name)
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if columns:
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columns = validate_column_names(columns)
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col_str = ', '.join([f'"{col}"' for col in columns])
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else:
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col_str = '*'
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try:
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query = f'SELECT {col_str} FROM "{table_name}"'
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if where_clause:
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query += f' WHERE {where_clause}'
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if limit:
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query += f' LIMIT {int(limit)}'
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return pd.read_sql(text(query), engine, params=params)
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except Exception as e:
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sys_log.error(f"[Security] SQL 查詢失敗: {e}")
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raise
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# ==========================================
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# 路徑遍歷防護
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# ==========================================
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def safe_join(base, *paths):
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"""
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安全的路徑拼接，防止路徑遍歷攻擊
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Args:
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base: 基礎目錄（絕對路徑）
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*paths: 子路徑組件
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Returns:
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Path: 安全的完整路徑
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Raises:
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ValueError: 偵測到路徑遍歷嘗試
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"""
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base = Path(base).resolve()
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for path_component in paths:
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path_str = str(path_component)
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if '\\' in path_str:
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sys_log.warning(f"[Security] 偵測到路徑遍歷嘗試 (Windows 反斜線) | Base: {base} | Requested: {paths}")
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raise ValueError(f"路徑遍歷偵測: 不允許使用反斜線")
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if '..' in path_str.replace('\\', '/'):
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sys_log.warning(f"[Security] 偵測到路徑遍歷嘗試 (雙點) | Base: {base} | Requested: {paths}")
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raise ValueError(f"路徑遍歷偵測: 不允許使用 '..'")
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full_path = (base / Path(*paths)).resolve()
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try:
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full_path.relative_to(base)
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except ValueError:
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sys_log.warning(f"[Security] 偵測到路徑遍歷嘗試 | Base: {base} | Requested: {paths}")
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raise ValueError(f"路徑遍歷偵測: 不允許存取基礎目錄外的檔案")
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return full_path
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# ==========================================
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# 檔案上傳安全驗證
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# ==========================================
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ALLOWED_UPLOAD_EXTENSIONS = {'xlsx', 'xls', 'csv'}
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ALLOWED_MIME_TYPES = {
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'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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'application/vnd.ms-excel',
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'text/csv',
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'application/octet-stream'
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}
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def secure_filename_unicode(filename):
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"""
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支援中文的安全檔案名稱清理
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Args:
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filename: 原始檔案名稱
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Returns:
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str: 清理後的安全檔案名稱
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"""
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filename = unicodedata.normalize('NFKC', filename)
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safe_chars = re.sub(r'[^\u4e00-\u9fa5a-zA-Z0-9\s\(\)_\-\.]', '', filename)
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safe_chars = re.sub(r'\s+', ' ', safe_chars)
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safe_chars = safe_chars.strip()
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return safe_chars
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def allowed_file(filename):
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"""
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檢查檔案副檔名是否在白名單中
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Args:
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filename: 檔案名稱
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Returns:
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bool: 是否允許上傳
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"""
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if not filename or '.' not in filename:
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return False
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parts = filename.rsplit('.', 1)
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if len(parts) != 2:
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return False
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basename, ext = parts
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if not basename or basename.strip() == '':
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return False
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return ext.lower() in ALLOWED_UPLOAD_EXTENSIONS
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def validate_upload_file(file):
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"""
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完整的檔案上傳驗證（副檔名、檔案名稱清理）
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Args:
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file: Flask request.files 物件
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Returns:
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tuple: (is_valid, error_message, safe_filename)
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"""
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if not file or file.filename == '':
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return False, '未選擇檔案', None
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original_filename = file.filename
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if '..' in original_filename:
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sys_log.warning(f"[Security] 檔案上傳 - 偵測到路徑遍歷嘗試（雙點）: {original_filename}")
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return False, '檔案名稱包含非法字元', None
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if os.path.sep in original_filename or (os.path.altsep and os.path.altsep in original_filename):
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if original_filename.startswith(('/', '\\')) or './' in original_filename or '.\\' in original_filename:
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sys_log.warning(f"[Security] 檔案上傳 - 偵測到路徑遍歷嘗試（路徑分隔符）: {original_filename}")
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return False, '檔案名稱包含非法字元', None
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safe_name = secure_filename_unicode(original_filename)
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if not safe_name:
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return False, '檔案名稱不合法', None
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if not allowed_file(safe_name):
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return False, f'不支援的檔案格式，僅允許: {", ".join(ALLOWED_UPLOAD_EXTENSIONS)}', None
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return True, None, safe_name
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# ruff: noqa: F401, F403
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from utils.security import (
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ALLOWED_TABLES,
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ALLOWED_UPLOAD_EXTENSIONS,
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ALLOWED_MIME_TYPES,
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validate_table_name,
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validate_column_names,
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safe_read_sql,
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safe_join,
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secure_filename_unicode,
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allowed_file,
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validate_upload_file,
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)
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