taojianmin
06c053d7d7
新增（scripts/ 分层完整实现）：
- scripts/util/{constants,date_util,runtime_paths,logging_setup}.py
- scripts/db/{connection,seed_data,repository}.py（SQLite + 5 张表 + 50 份样例合同）
- scripts/service/{scanner,task_generator,dispatcher,html_renderer}.py
- scripts/cli/app.py（argparse 子命令）
- scripts/templates/task.html.j2（Jinja2 渲染，无 jinja2 时降级到 str.replace）
- examples/{contracts_sample,performance_sample}.csv（本地样例数据）
修改：
- scripts/main.py：argparse + jiangchang_skill_core 降级
- SKILL.md：version 1.0.1 → 1.1.0
- CHANGELOG.md：加 v1.1.0 条目
- .env.example：加 DB_PATH / HTML_OUTPUT_DIR / JIANGCHANG_DATA_DIR
本地验证（9 个 CLI 命令全部 exit code = 0）：
- health / version / config-path / init-db：基础 4 命令
- scan-expiring-contracts --thresholds 90,60,30：42 份可续聘 → 红 10 / 橙 10 / 黄 10，生成 30 任务
- render-html：写 output/<task_id>.html（4.9 KB）
- generate-renewal-task：单份合同任务书生成
- mark-contract-renewed：状态机更新 + 关闭 open alerts
- dispatch-task-notice：按单位/月份派发 payload（dry-run 模式）
业务规则（AI 续聘建议本地版，规则顺序判断）：
1. 师德 < 60 → non_renew
2. 近 3 年考核有不合格（< 60）→ observe
3. 全部 >= 80 且逐年上升 → renew
4. 其他 → observe
Co-Authored-By: Claude Code <noreply@anthropic.com>
46 lines
1.5 KiB
Python
46 lines
1.5 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 = "alert-contract-expiring-hr"
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SKILL_VERSION = "1.1.0"
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LOG_LOGGER_NAME = "openclaw.skill.alert_contract_expiring_hr"
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PLATFORM_KIT_MIN_VERSION = "1.2.11"
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# 预警阈值（黄/橙/红）：距到期日 <= yellow 天 = 黄色预警
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# 顺序：red < orange < yellow
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DEFAULT_THRESHOLDS = (90, 60, 30)
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# 预警等级名称（与 thresholds 顺序一一对应）
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ALERT_LEVELS = ("yellow", "orange", "red")
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ALERT_LEVEL_LABELS = {"yellow": "黄色", "orange": "橙色", "red": "红色"}
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# 续聘建议
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SUGGESTIONS = ("renew", "observe", "non_renew")
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SUGGESTION_LABELS = {
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"renew": "建议续聘",
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"observe": "常规续聘评审",
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"non_renew": "不建议续聘",
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}
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# 合同状态
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CONTRACT_STATUSES = ("可续聘", "预警中", "已续签", "已驳回", "已过期", "已撤回")
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# 续签材料清单
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DEFAULT_MATERIALS = [
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"近 3 年年度考核表（盖章）",
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"师德师风考评记录",
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"学历学位证书复印件",
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"岗位聘任登记表",
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"劳动合同文本（一式三份）",
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"个人述职报告（不少于 2000 字）",
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]
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# AI 续聘建议规则阈值
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MORAL_FAIL_THRESHOLD = 60 # 师德 < 60 直接 non_renew
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PERFORMANCE_FAIL_THRESHOLD = 60 # 单年考核 < 60 算不合格
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PERFORMANCE_RENEW_MIN = 80 # 全部 >= 80 且逐年上升 → renew
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