90 行
3.8 KiB
Python
90 行
3.8 KiB
Python
# -*- coding: utf-8 -*-
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"""
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广告法合规静态检查脚本
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对照《中华人民共和国广告法》重点审查：
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1. 绝对化极限用语：最高、最佳、第一、顶级、极致、首选、独家、独创、首屈一指等
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2. 违规国家级表述：国家级（除国家高新技术企业法定全称外不可乱用国家级）、世界级、国际领先
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3. 虚假或绝对化承诺：100%（非CSS宽高的绝对承诺）、零风险、零故障、永不宕机等
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4. 模糊引证/夸大宣称
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"""
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import os
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import re
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import sys
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# 规则定义: (规则说明, 危险正则, 白名单正则或上下文判断函数)
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RULES = [
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(
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"极限词（最系列）",
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re.compile(r"(最[高佳强优新具权快低大美多全先进顶好])"),
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lambda text, m: False # 严格禁止
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),
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(
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"极限词（顶级/极系列）",
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re.compile(r"(顶级|极致|极品|鼎级|极速)"),
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lambda text, m: False
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),
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(
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"极限词（第一/首系列）",
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re.compile(r"(第一|No\.1|首[选个家]|首屈一指)"),
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lambda text, m: False
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),
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(
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"绝对化用词（独家/独创/唯一）",
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re.compile(r"(独家|独创|唯一|绝无仅有)"),
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lambda text, m: False
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),
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(
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"绝对化承诺（100%/零故障/零风险）",
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re.compile(r"(100%|零故障|零风险|零瑕疵|包过|永久免费)"),
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lambda text, m: "width" in text.lower() or "height" in text.lower() or "size" in text.lower()
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),
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(
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"违规国家级表述",
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re.compile(r"(国家级(?!高新技术企业)|世界级|国际领先)"),
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lambda text, m: False
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),
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]
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def scan_files(directory):
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violations = []
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for root, dirs, files in os.walk(directory):
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for f in files:
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if not f.endswith(('.html', '.php', '.js')):
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continue
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path = os.path.join(root, f)
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with open(path, 'r', encoding='utf-8', errors='ignore') as fp:
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for line_no, line in enumerate(fp, 1):
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# 过滤 CSS 中的技术百分比
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filtered_line = re.sub(r'[\'\"a-zA-Z0-9_\-:]*\s*:\s*100%', '', line)
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filtered_line = re.sub(r'width\s*=\s*[\'\"]100%[\'\"]', '', filtered_line)
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filtered_line = re.sub(r'height\s*=\s*[\'\"]100%[\'\"]', '', filtered_line)
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for rule_name, pattern, allow_fn in RULES:
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for match in pattern.finditer(filtered_line):
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matched_text = match.group(0)
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if not allow_fn(line, match):
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violations.append({
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'file': path,
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'line_no': line_no,
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'rule': rule_name,
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'matched': matched_text,
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'snippet': line.strip()
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})
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return violations
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if __name__ == '__main__':
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target_dir = sys.argv[1] if len(sys.argv) > 1 else 'addons/official/view/web'
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results = scan_files(target_dir)
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report_path = 'tests/ad_audit_report.txt'
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with open(report_path, 'w', encoding='utf-8') as f:
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f.write(f"=== 中华人民共和国广告法合规审查清单 (扫描目录: {target_dir}) ===\n")
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f.write(f"共排查潜在风险点: {len(results)} 处\n\n")
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for r in results:
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f.write(f"【{r['rule']}】 文件: {r['file']} 第 {r['line_no']} 行\n")
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f.write(f" 敏感/违规词: {r['matched']}\n")
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f.write(f" 上下文原句: {r['snippet']}\n")
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f.write("-" * 60 + "\n")
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print(f"审查完成！已生成报告: {report_path}，发现风险项: {len(results)} 处")
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