34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
"""技能标识、版本与阈值常量。
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复制到新 skill 时必须修改：
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- SKILL_SLUG 与 SKILL.md metadata.openclaw.slug 保持一致
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- SKILL_VERSION 与 SKILL.md version 保持一致
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"""
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SKILL_SLUG = "verify-scholarship-fraud-sas"
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SKILL_VERSION = "1.0.2"
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LOG_LOGGER_NAME = "openclaw.skill.verify_scholarship_fraud_sas"
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PLATFORM_KIT_MIN_VERSION = "1.2.11"
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# 业务行生命周期状态值（候选人汇总表每一行）
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CANDIDATE_STATUSES = ("待审", "已标注", "已复核", "已驳回", "已撤回")
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# 复核结论
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REVIEW_CONCLUSIONS = ("保留", "取消", "调减")
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# 异常检测维度（v1.0.1 占位；具体阈值由开发者按 development/REQUIREMENTS.md 补全）
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RISK_DIMENSIONS = (
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"income_vs_card_consumption", # 自报年收入 vs 一卡通月均消费
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"comprehensive_vs_score_rank", # 综测排名 vs 成绩排名
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"cumulative_aid_amount", # 本学年累计资助金额
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"duplicate_aid_history", # 历史重复资助排查
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)
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RISK_LEVEL_LABELS = {
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"low": "低风险",
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"medium": "中风险",
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"high": "高风险",
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}
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# 多平台 brands 同步声明（与 SKILL.md metadata.openclaw.brands 保持一致）
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BRANDS = ("jiangchang", "huashang") |