45 lines
1.3 KiB
Python
45 lines
1.3 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 = "analyze-grade-distribution-aa"
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SKILL_VERSION = "1.0.2"
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LOG_LOGGER_NAME = "openclaw.skill.analyze_grade_distribution_aa"
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PLATFORM_KIT_MIN_VERSION = "1.2.11"
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# 异常模式分类
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ANOMALY_PATTERNS = ("高分低能", "两极分化", "挂科异常")
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# 预警等级（与异常模式对应）
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ALERT_LEVELS = ("yellow", "orange", "red")
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ALERT_LEVEL_LABELS = {
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"yellow": "黄色（提醒关注）",
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"orange": "橙色（建议核查）",
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"red": "红色（高风险）",
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}
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# 报告类型
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REPORT_TYPES = ("html", "pdf")
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DEFAULT_REPORT_TYPE = "html"
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# 异常模式识别阈值
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HIGH_SCORE_THRESHOLD = 85 # 高分阈值
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LOW_SCORE_THRESHOLD = 60 # 低分阈值
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HIGH_FAIL_RATE_THRESHOLD = 0.30 # 挂科率阈值
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POLARIZATION_SPREAD_THRESHOLD = 30 # 两极分化：最高分-最低分阈值
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# 统计指标：分位点
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PERCENTILES = (25, 50, 75)
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# 课程状态
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COURSE_STATUSES = ("待分析", "分析中", "已出报告", "已标记高风险", "已归档")
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# 高风险标签
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HIGH_RISK_LABELS = {
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True: "高风险课程",
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False: "正常课程",
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}
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