wsb1224
cf77d40569
PPT 对象选择和绿色选中框。 双击编辑文本框、表格单元格。 文字字体、字号、加粗、颜色、对齐属性。 Ctrl/Cmd+Z、Ctrl/Cmd+Shift+Z 撤销重做。 PPT 缩略图/网格总览切换。 历史版本只读查看。 历史版本“恢复为新版本”，不覆盖旧文件。 海报区块显示/隐藏。 长图区块上移、下移排序。 新背景候选确认，可选择使用新背景或保留原背景。 合规问题“一键采用建议”。 新增 warn 合规级别。 解析失败人工填写入口。 展示解析方法和低质量页诊断。 同步更新了[API 接口文档](/D:/work/code/python/coding/baodanagent/docs/保险智能客服系统_API接口文档.md)。 验证结果： 相关后端测试：28 passed, 1 skipped Python 编译检查：通过 前端生产构建：通过 git diff --check：通过
89 lines
3.0 KiB
Python
89 lines
3.0 KiB
Python
"""海报文案合规规则与字符定位。"""
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import hashlib
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import json
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RULES = (
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{
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"ruleId": "RETURN_GUARANTEE",
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"terms": ("保证", "稳赚", "保底"),
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"severity": "block",
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"message": "不得使用确定性收益承诺",
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"suggestion": "改为“利益以正式计划书为准”",
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"replacement": "相关利益",
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},
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{
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"ruleId": "RISK_FREE_CLAIM",
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"terms": ("无风险", "零风险"),
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"severity": "block",
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"message": "不得宣称保险或投资安排不存在风险",
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"suggestion": "删除绝对化表述，并补充必要的风险提示",
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"replacement": "存在一定风险",
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},
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{
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"ruleId": "EXAGGERATED_RETURN",
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"terms": ("最高收益", "回报率"),
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"severity": "block",
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"message": "收益表述必须有正式计划书依据且不得夸大",
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"suggestion": "引用已确认的计划书数据并注明非保证利益",
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"replacement": "演示利益",
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},
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{
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"ruleId": "UNSUPPORTED_SUPERLATIVE",
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"terms": ("行业领先", "最佳"),
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"severity": "warn",
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"message": "比较性或最高级表述需要可核验依据",
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"suggestion": "改为客观描述产品特点，或补充权威依据",
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"replacement": "具有特色",
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},
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)
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FIELDS = ("headline", "body", "call_to_action")
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def copy_revision(copy_content: dict) -> str:
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"""生成与字段顺序无关的文案版本摘要。"""
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normalized = {
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field: str((copy_content or {}).get(field) or "")
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for field in FIELDS
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}
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payload = json.dumps(normalized, ensure_ascii=False, sort_keys=True)
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return hashlib.sha256(payload.encode("utf-8")).hexdigest()
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def check_copy_compliance(copy_content: dict) -> dict:
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"""返回合规状态、文案版本和可定位的问题列表。"""
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issues = []
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for field in FIELDS:
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text = str((copy_content or {}).get(field) or "")
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for rule in RULES:
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for term in rule["terms"]:
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start = 0
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while True:
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index = text.find(term, start)
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if index < 0:
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break
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issues.append({
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"ruleId": rule["ruleId"],
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"severity": rule["severity"],
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"field": field,
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"start": index,
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"end": index + len(term),
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"text": term,
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"message": rule["message"],
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"suggestion": rule["suggestion"],
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"replacement": rule["replacement"],
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})
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start = index + len(term)
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severity_order = {"pass": 0, "warn": 1, "block": 2}
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status = "pass"
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for issue in issues:
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if severity_order[issue["severity"]] > severity_order[status]:
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status = issue["severity"]
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return {
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"status": status,
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"revision": copy_revision(copy_content),
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"issues": issues,
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}
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