\s*', html, re.DOTALL)
if action_section_match:
action_content = action_section_match.group(1)
if "问题归因" in action_content and ("暂无" in action_content or action_content.count(").*?(\s*)',
r'\1' + default_action + r'\2',
html,
flags=re.DOTALL
)
# 3. 检查综合诊断结论
conclusion_match = re.search(r'综合诊断结论.*?
(.*?)
', html, re.DOTALL)
if conclusion_match:
conclusion_content = conclusion_match.group(1).strip()
if not conclusion_content or len(conclusion_content) < 20:
missing_fields.append("综合诊断结论")
account_name = report_data.get("header", {}).get("账号名", "该账号")
default_conclusion = f"{account_name}整体运营状况良好，建议持续优化内容质量和互动策略。"
html = re.sub(
r'(
).*?(
)',
rf'\1{default_conclusion}\2',
html,
flags=re.DOTALL
)
# 4. 检查账号定位模块关键字段
positioning_fields = ["TA是谁", "心智占位", "价值观锚点", "吸引力类型"]
for pf in positioning_fields:
pattern = rf'{pf}[：:]\s*\s*([^<]*)'
match = re.search(pattern, html)
if match:
value = match.group(1).strip()
if not value:
missing_fields.append(pf)
# 5. 检查粉丝画像模块
fans_profile_match = re.search(r'粉丝构成[：:]\s*\s*([^<]*)', html)
if fans_profile_match:
value = fans_profile_match.group(1).strip()
if not value:
missing_fields.append("粉丝构成")
raw = report_data.get("_raw", {})
fans = raw.get("fans", 0)
gender = raw.get("fansGender", {})
female_ratio = gender.get("female_ratio", "0.5")
try:
fix_value = f"{fans}粉丝 | 女性{float(female_ratio)*100:.0f}%"
except:
fix_value = f"{fans}粉丝"
html = html.replace(
f'{value}',
f'{fix_value}',
1
)
# 6. 检查选题体系模块
topic_fields = ["选题方向", "表达风格", "叙事手法"]
for tf in topic_fields:
pattern = rf'{tf}[：:]\s*\s*([^<]*)'
match = re.search(pattern, html)
if match:
value = match.group(1).strip()
if not value:
missing_fields.append(tf)
# 7. 检查封面风格模块
cover_fields = ["视觉特征", "信息层级", "一致性"]
for cf in cover_fields:
pattern = rf'{cf}[：:]\s*\s*([^<]*)'
match = re.search(pattern, html)
if match:
value = match.group(1).strip()
if not value:
missing_fields.append(cf)
# 8. 检查更新产能模块
update_fields = ["频率分析", "发布时间分析"]
for uf in update_fields:
pattern = rf'{uf}[：:]\s*\s*([^<]*)'
match = re.search(pattern, html)
if match:
value = match.group(1).strip()
if not value:
missing_fields.append(uf)
return html, missing_fields
def check_multi_html_content(html, accounts):
"""检查多账号HTML内容完整性
返回: (修复后的html, 缺失字段列表)
"""
missing_fields = []
# 检查每个账号的关键信息
for i, acc in enumerate(accounts):
header = acc.get("header", {})
scores = acc.get("scores", {})
name = header.get("账号名", "")
if not name:
missing_fields.append(f"账号{i+1}-账号名")
total_score = scores.get("综合评分", "")
if not total_score:
missing_fields.append(f"账号{i+1}-综合评分")
# 检查对比总结是否存在
if "核心差异" not in html or len(re.findall(r"核心差异", html)) == 0:
missing_fields.append("核心差异")
default_summary = '''
核心差异
各账号在定位、内容策略上存在差异，建议针对性优化。
'''
html = html.replace('
', default_summary + '')
return html, missing_fields
def cmd_check():
"""命令行入口：检查HTML文件"""
parser = argparse.ArgumentParser(description="HTML完整性检查")
parser.add_argument("--html", required=True, help="HTML文件路径")
parser.add_argument("--data", required=True, help="report_data.json路径")
parser.add_argument("--type", choices=["single", "multi"], default="single", help="报告类型")
args = parser.parse_args()
# 读取HTML
if not os.path.exists(args.html):
print(json.dumps({"status": "error", "message": f"HTML文件不存在: {args.html}"}, ensure_ascii=False))
sys.exit(1)
with open(args.html, "r", encoding="utf-8") as f:
html = f.read()
# 读取数据
if not os.path.exists(args.data):
print(json.dumps({"status": "error", "message": f"数据文件不存在: {args.data}"}, ensure_ascii=False))
sys.exit(1)
with open(args.data, "r", encoding="utf-8") as f:
data = json.load(f)
# 执行检查
if args.type == "single":
html, missing_fields = check_and_fix_html_content(html, data)
else:
accounts = data.get("accounts", [data])
html, missing_fields = check_multi_html_content(html, accounts)
# 写回HTML
with open(args.html, "w", encoding="utf-8") as f:
f.write(html)
result = {
"status": "success",
"message": "HTML完整性检查完成",
"missing_fields": missing_fields,
"fixed": len(missing_fields) > 0
}
print(json.dumps(result, ensure_ascii=False))
if __name__ == "__main__":
cmd_check()